refinement.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "95553bc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from typing import Dict, List, Tuple, Set\n",
    "from pathlib import Path\n",
    "import logging\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import ast\n",
    "from tqdm import tqdm\n",
    "\n",
    "import sys\n",
    "import os\n",
    "\n",
    "module_path = os.path.abspath(os.path.join('..'))\n",
    "if module_path not in sys.path:\n",
    "    sys.path.append(module_path)\n",
    "\n",
    "sys.argv.clear()\n",
    "sys.argv.append(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "628da367",
   "metadata": {},
   "outputs": [],
   "source": [
    "from src.refinement.config import RefinementConfig\n",
    "config = RefinementConfig()\n",
    "config.refinement_metric_maxrank = 100\n",
    "config.max_refinement_metric = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6f4ca41a",
   "metadata": {},
   "outputs": [],
   "source": [
    "refinement_run_id = \"403a7e2fd2e8444ab0a084365dae9192\"\n",
    "reference_run_id = \"84ebffbcd41f450786e7ae5a6fae8c0b\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7f503d93",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "pd.set_option('display.max_columns', None) \n",
    "pd.set_option('display.max_rows', None) \n",
    "pd.set_option('max_colwidth',100) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcaaf013",
   "metadata": {},
   "source": [
    "# 1 Loading"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "325e0cab",
   "metadata": {},
   "source": [
    "## 1.1 Load attention weight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ed8f55df",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_attention_weights(run_id):\n",
    "    attention_path = Path(\"../\"\n",
    "        + config.mlflow_dir\n",
    "        + \"{run_id}/artifacts/attention.json\".format(run_id=run_id)\n",
    "    )\n",
    "    if not attention_path.exists():\n",
    "        logging.debug(\n",
    "            \"No attention file for run {} in local MlFlow dir\".format(run_id)\n",
    "        )\n",
    "        return {}\n",
    "\n",
    "    with open(attention_path) as attention_file:\n",
    "        return json.load(attention_file)[\"attention_weights\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9d3a60d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "attention_base = load_attention_weights(reference_run_id)\n",
    "attention_comp = load_attention_weights(refinement_run_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1597ce65",
   "metadata": {},
   "outputs": [
    {
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       " '255.10': {'255.10': '1.0'},\n",
       " '250.93': {'250.93': '1.0'},\n",
       " '278.00': {'278.00': '1.0'},\n",
       " '304.31': {'304.31': '1.0'},\n",
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       " '774.2': {'774.2': '1.0'},\n",
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       " '780.39': {'780.39': '1.0'},\n",
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       " '361.05': {'361.05': '1.0'},\n",
       " '920': {'920': '1.0'},\n",
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       " '996.71': {'996.71': '1.0'},\n",
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       " 'V72.1': {'V72.1': '1.0'},\n",
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       " 'V45.3': {'V45.3': '1.0'},\n",
       " 'E931.8': {'E931.8': '1.0'},\n",
       " '438.19': {'438.19': '1.0'},\n",
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       " 'E946.0': {'E946.0': '1.0'},\n",
       " '359.81': {'359.81': '1.0'},\n",
       " '197.5': {'197.5': '1.0'},\n",
       " '714.0': {'714.0': '1.0'},\n",
       " '429.79': {'429.79': '1.0'},\n",
       " '041.86': {'041.86': '1.0'},\n",
       " '770.3': {'770.3': '1.0'},\n",
       " '327.24': {'327.24': '1.0'},\n",
       " '366.16': {'366.16': '1.0'},\n",
       " '969.5': {'969.5': '1.0'},\n",
       " '458.1': {'458.1': '1.0'},\n",
       " '333.82': {'333.82': '1.0'},\n",
       " '054.10': {'054.10': '1.0'},\n",
       " '780.6': {'780.6': '1.0'},\n",
       " '921.1': {'921.1': '1.0'},\n",
       " '379.90': {'379.90': '1.0'},\n",
       " '781.94': {'781.94': '1.0'},\n",
       " '438.6': {'438.6': '1.0'},\n",
       " '607.84': {'607.84': '1.0'},\n",
       " '601.8': {'601.8': '1.0'},\n",
       " '396.1': {'396.1': '1.0'},\n",
       " '788.31': {'788.31': '1.0'},\n",
       " '800.36': {'800.36': '1.0'},\n",
       " 'V15.84': {'V15.84': '1.0'},\n",
       " 'V09.80': {'V09.80': '1.0'},\n",
       " '156.0': {'156.0': '1.0'},\n",
       " '805.06': {'805.06': '1.0'},\n",
       " '304.30': {'304.30': '1.0'},\n",
       " '296.51': {'296.51': '1.0'},\n",
       " '902.34': {'902.34': '1.0'},\n",
       " '530.82': {'530.82': '1.0'},\n",
       " 'V15.04': {'V15.04': '1.0'},\n",
       " '778.4': {'778.4': '1.0'},\n",
       " '707.03': {'707.03': '1.0'},\n",
       " '531.90': {'531.90': '1.0'},\n",
       " '333.85': {'333.85': '1.0'},\n",
       " '864.15': {'864.15': '1.0'},\n",
       " 'E878.5': {'E878.5': '1.0'},\n",
       " '276.6': {'276.6': '1.0'},\n",
       " 'V11.3': {'V11.3': '1.0'},\n",
       " 'E849.8': {'E849.8': '1.0'},\n",
       " 'E933.1': {'E933.1': '1.0'},\n",
       " 'V14.8': {'V14.8': '1.0'},\n",
       " 'E934.7': {'E934.7': '1.0'},\n",
       " 'V14.1': {'V14.1': '1.0'},\n",
       " '719.47': {'719.47': '1.0'},\n",
       " '433.31': {'433.31': '1.0'},\n",
       " '789.33': {'789.33': '1.0'},\n",
       " '909.5': {'909.5': '1.0'},\n",
       " '465.9': {'465.9': '1.0'},\n",
       " '208.00': {'208.00': '1.0'},\n",
       " '764.04': {'764.04': '1.0'},\n",
       " '464.11': {'464.11': '1.0'},\n",
       " '459.2': {'459.2': '1.0'},\n",
       " '354.9': {'354.9': '1.0'},\n",
       " 'V15.41': {'V15.41': '1.0'},\n",
       " '287.2': {'287.2': '1.0'},\n",
       " 'E947.0': {'E947.0': '1.0'},\n",
       " '813.43': {'813.43': '1.0'},\n",
       " '562.02': {'562.02': '1.0'},\n",
       " '796.1': {'796.1': '1.0'},\n",
       " '331.4': {'331.4': '1.0'},\n",
       " '730.04': {'730.04': '1.0'},\n",
       " '583.89': {'583.89': '1.0'},\n",
       " '771.81': {'771.81': '1.0'},\n",
       " '860.5': {'860.5': '1.0'},\n",
       " '851.86': {'851.86': '1.0'},\n",
       " '410.11': {'410.11': '1.0'},\n",
       " '309.1': {'309.1': '1.0'},\n",
       " '275.9': {'275.9': '1.0'},\n",
       " '997.4': {'997.4': '1.0'},\n",
       " '070.30': {'070.30': '1.0'},\n",
       " 'E980.4': {'E980.4': '1.0'},\n",
       " '453.85': {'453.85': '1.0'},\n",
       " '708.3': {'708.3': '1.0'},\n",
       " '821.01': {'821.01': '1.0'},\n",
       " '198.0': {'198.0': '1.0'},\n",
       " '753.12': {'753.12': '1.0'},\n",
       " '453.72': {'453.72': '1.0'},\n",
       " '996.56': {'996.56': '1.0'},\n",
       " '601.1': {'601.1': '1.0'},\n",
       " '304.00': {'304.00': '1.0'},\n",
       " '627.9': {'627.9': '1.0'},\n",
       " '787.60': {'787.60': '1.0'},\n",
       " '820.21': {'820.21': '1.0'},\n",
       " '112.3': {'112.3': '1.0'},\n",
       " 'E945.7': {'E945.7': '1.0'},\n",
       " '707.0': {'707.0': '1.0'},\n",
       " '374.89': {'374.89': '1.0'},\n",
       " '998.01': {'998.01': '1.0'},\n",
       " '780.93': {'780.93': '1.0'},\n",
       " '337.21': {'337.21': '1.0'},\n",
       " '398.90': {'398.90': '1.0'},\n",
       " 'V15.2': {'V15.2': '1.0'},\n",
       " '049.0': {'049.0': '1.0'},\n",
       " '800.12': {'800.12': '1.0'},\n",
       " 'V54.89': {'V54.89': '1.0'},\n",
       " '307.89': {'307.89': '1.0'},\n",
       " '482.81': {'482.81': '1.0'},\n",
       " '265.2': {'265.2': '1.0'},\n",
       " '851.40': {'851.40': '1.0'},\n",
       " '255.42': {'255.42': '1.0'},\n",
       " '826.0': {'826.0': '1.0'},\n",
       " '903.3': {'903.3': '1.0'},\n",
       " '300.4': {'300.4': '1.0'},\n",
       " '800.31': {'800.31': '1.0'},\n",
       " '788.64': {'788.64': '1.0'},\n",
       " '997.5': {'997.5': '1.0'},\n",
       " 'E967.1': {'E967.1': '1.0'},\n",
       " '736.79': {'736.79': '1.0'},\n",
       " '447.8': {'447.8': '1.0'},\n",
       " '434.11': {'434.11': '1.0'},\n",
       " '518.6': {'518.6': '1.0'},\n",
       " '493.92': {'493.92': '1.0'},\n",
       " '955.2': {'955.2': '1.0'},\n",
       " '199.0': {'199.0': '1.0'},\n",
       " '730.13': {'730.13': '1.0'},\n",
       " '161.1': {'161.1': '1.0'},\n",
       " '569.61': {'569.61': '1.0'},\n",
       " '386.30': {'386.30': '1.0'},\n",
       " '493.91': {'493.91': '1.0'},\n",
       " '442.0': {'442.0': '1.0'},\n",
       " '793.2': {'793.2': '1.0'},\n",
       " '342.80': {'342.80': '1.0'},\n",
       " '478.75': {'478.75': '1.0'},\n",
       " '038.10': {'038.10': '1.0'},\n",
       " '618.1': {'618.1': '1.0'},\n",
       " '455.2': {'455.2': '1.0'},\n",
       " '596.7': {'596.7': '1.0'},\n",
       " '714.9': {'714.9': '1.0'},\n",
       " '522.5': {'522.5': '1.0'},\n",
       " '532.00': {'532.00': '1.0'},\n",
       " '726.73': {'726.73': '1.0'},\n",
       " '527.9': {'527.9': '1.0'},\n",
       " '701.5': {'701.5': '1.0'},\n",
       " '581.2': {'581.2': '1.0'},\n",
       " '434.90': {'434.90': '1.0'},\n",
       " '041.03': {'041.03': '1.0'},\n",
       " 'V43.65': {'V43.65': '1.0'},\n",
       " '437.0': {'437.0': '1.0'},\n",
       " '018.80': {'018.80': '1.0'},\n",
       " '865.02': {'865.02': '1.0'},\n",
       " '209.73': {'209.73': '1.0'},\n",
       " 'V58.41': {'V58.41': '1.0'},\n",
       " '259.8': {'259.8': '1.0'},\n",
       " '780.2': {'780.2': '1.0'},\n",
       " '733.01': {'733.01': '1.0'},\n",
       " 'V14.3': {'V14.3': '1.0'},\n",
       " '701.9': {'701.9': '1.0'},\n",
       " '306.0': {'306.0': '1.0'},\n",
       " '429.4': {'429.4': '1.0'},\n",
       " '426.2': {'426.2': '1.0'},\n",
       " '446.20': {'446.20': '1.0'},\n",
       " '594.1': {'594.1': '1.0'},\n",
       " '787.1': {'787.1': '1.0'},\n",
       " '344.09': {'344.09': '1.0'},\n",
       " 'V58.66': {'V58.66': '1.0'},\n",
       " 'E930.0': {'E930.0': '1.0'},\n",
       " '305.80': {'305.80': '1.0'},\n",
       " '008.45': {'008.45': '1.0'},\n",
       " '276.50': {'276.50': '1.0'},\n",
       " 'V61.04': {'V61.04': '1.0'},\n",
       " '551.3': {'551.3': '1.0'},\n",
       " '537.3': {'537.3': '1.0'},\n",
       " 'V49.86': {'V49.86': '1.0'},\n",
       " '491.22': {'491.22': '1.0'},\n",
       " 'V46.3': {'V46.3': '1.0'},\n",
       " '342.82': {'342.82': '1.0'},\n",
       " '427.0': {'427.0': '1.0'},\n",
       " '715.09': {'715.09': '1.0'},\n",
       " '528.01': {'528.01': '1.0'},\n",
       " 'E870.6': {'E870.6': '1.0'},\n",
       " '297.8': {'297.8': '1.0'},\n",
       " '998.32': {'998.32': '1.0'},\n",
       " '996.78': {'996.78': '1.0'},\n",
       " '249.80': {'249.80': '1.0'},\n",
       " '644.21': {'644.21': '1.0'},\n",
       " '218.2': {'218.2': '1.0'},\n",
       " '998.3': {'998.3': '1.0'},\n",
       " '997.69': {'997.69': '1.0'},\n",
       " '289.9': {'289.9': '1.0'},\n",
       " '377.01': {'377.01': '1.0'},\n",
       " '730.23': {'730.23': '1.0'},\n",
       " 'E888': {'E888': '1.0'},\n",
       " '244.2': {'244.2': '1.0'},\n",
       " '802.24': {'802.24': '1.0'},\n",
       " '038.19': {'038.19': '1.0'},\n",
       " '787.02': {'787.02': '1.0'},\n",
       " '790.94': {'790.94': '1.0'},\n",
       " '008.63': {'008.63': '1.0'},\n",
       " '429.9': {'429.9': '1.0'},\n",
       " '533.90': {'533.90': '1.0'},\n",
       " '574.60': {'574.60': '1.0'},\n",
       " '996.79': {'996.79': '1.0'},\n",
       " '188.2': {'188.2': '1.0'},\n",
       " '188.5': {'188.5': '1.0'},\n",
       " '512.84': {'512.84': '1.0'},\n",
       " '784.99': {'784.99': '1.0'},\n",
       " '280.8': {'280.8': '1.0'},\n",
       " 'E918': {'E918': '1.0'},\n",
       " '529.6': {'529.6': '1.0'},\n",
       " '607.9': {'607.9': '1.0'},\n",
       " '574.50': {'574.50': '1.0'},\n",
       " '552.8': {'552.8': '1.0'},\n",
       " '715.31': {'715.31': '1.0'},\n",
       " '780.64': {'780.64': '1.0'},\n",
       " '360.01': {'360.01': '1.0'},\n",
       " '996.02': {'996.02': '1.0'},\n",
       " '477.9': {'477.9': '1.0'},\n",
       " '361.9': {'361.9': '1.0'},\n",
       " 'V10.09': {'V10.09': '1.0'},\n",
       " '695.2': {'695.2': '1.0'},\n",
       " '702.19': {'702.19': '1.0'},\n",
       " '656.41': {'656.41': '1.0'},\n",
       " '112.1': {'112.1': '1.0'},\n",
       " '730.25': {'730.25': '1.0'},\n",
       " '997.71': {'997.71': '1.0'},\n",
       " '209.69': {'209.69': '1.0'},\n",
       " '516.3': {'516.3': '1.0'},\n",
       " '603.8': {'603.8': '1.0'},\n",
       " '304.22': {'304.22': '1.0'},\n",
       " '279.3': {'279.3': '1.0'},\n",
       " '049.1': {'049.1': '1.0'},\n",
       " '738.4': {'738.4': '1.0'},\n",
       " '013.25': {'013.25': '1.0'},\n",
       " 'E887': {'E887': '1.0'},\n",
       " '269.9': {'269.9': '1.0'},\n",
       " '424.1': {'424.1': '1.0'},\n",
       " '070.70': {'070.70': '1.0'},\n",
       " '438.30': {'438.30': '1.0'},\n",
       " '295.90': {'295.90': '1.0'},\n",
       " '572.2': {'572.2': '1.0'},\n",
       " '924.5': {'924.5': '1.0'},\n",
       " '530.87': {'530.87': '1.0'},\n",
       " '445.81': {'445.81': '1.0'},\n",
       " '802.21': {'802.21': '1.0'},\n",
       " '262': {'262': '1.0'},\n",
       " '604.90': {'604.90': '1.0'},\n",
       " '562.10': {'562.10': '1.0'},\n",
       " 'E920.1': {'E920.1': '1.0'},\n",
       " '900.03': {'900.03': '1.0'},\n",
       " 'V50.41': {'V50.41': '1.0'},\n",
       " '706.8': {'706.8': '1.0'},\n",
       " '423.3': {'423.3': '1.0'},\n",
       " '732.4': {'732.4': '1.0'},\n",
       " 'V76.51': {'V76.51': '1.0'},\n",
       " '173.3': {'173.3': '1.0'},\n",
       " '041.9': {'041.9': '1.0'},\n",
       " '682.1': {'682.1': '1.0'},\n",
       " '278.03': {'278.03': '1.0'},\n",
       " '786.06': {'786.06': '1.0'},\n",
       " 'V43.63': {'V43.63': '1.0'},\n",
       " '378.52': {'378.52': '1.0'},\n",
       " '211.5': {'211.5': '1.0'},\n",
       " '343.8': {'343.8': '1.0'},\n",
       " 'V45.12': {'V45.12': '1.0'},\n",
       " '348.82': {'348.82': '1.0'},\n",
       " 'V10.12': {'V10.12': '1.0'},\n",
       " '466.0': {'466.0': '1.0'},\n",
       " '556.1': {'556.1': '1.0'},\n",
       " 'E815.0': {'E815.0': '1.0'},\n",
       " '724.09': {'724.09': '1.0'},\n",
       " '191.2': {'191.2': '1.0'},\n",
       " ...}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attention_base"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d0aecc69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'996.04': {'996.04': '0.049188036',\n",
       "  '-1': '9.63784e-06',\n",
       "  '800-999': '0.111613736',\n",
       "  '996-999': '0.6663229',\n",
       "  '996': '0.016291933',\n",
       "  '996.0': '0.1565738'},\n",
       " '251.5': {'251.5': '0.0020265693',\n",
       "  '-1': '5.203079e-06',\n",
       "  '249-259': '0.97066355',\n",
       "  '240-279': '0.027219253',\n",
       "  '251': '8.542773e-05'},\n",
       " '805.6': {'805.6': '0.1731188',\n",
       "  '-1': '3.53414e-05',\n",
       "  '800-999': '0.40930614',\n",
       "  '805-809': '0.12043968',\n",
       "  '805': '0.29710004'},\n",
       " 'V61.42': {'V61.42': '0.0027444994',\n",
       "  '-1': '1.312063e-06',\n",
       "  'V01-V91': '0.018931095',\n",
       "  'V60-V69': '0.9666285',\n",
       "  'V61': '0.009186897',\n",
       "  'V61.4': '0.0025076328'},\n",
       " '600.10': {'600.10': '0.005564471',\n",
       "  '-1': '0.00012541213',\n",
       "  '580-629': '0.95750254',\n",
       "  '600-608': '0.016405165',\n",
       "  '600': '0.00490035',\n",
       "  '600.1': '0.0155021055'},\n",
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       "  '780': '0.00036062702'},\n",
       " '360.01': {'360.01': '0.19090289',\n",
       "  '-1': '8.285648e-06',\n",
       "  '320-389': '0.24252316',\n",
       "  '360-379': '0.5344049',\n",
       "  '360.0': '0.008575189',\n",
       "  '360': '0.023585608'},\n",
       " '996.02': {'996.02': '0.039185435',\n",
       "  '-1': '9.800621e-06',\n",
       "  '800-999': '0.11261072',\n",
       "  '996-999': '0.6732725',\n",
       "  '996': '0.016443787',\n",
       "  '996.0': '0.15847778'},\n",
       " '477.9': {'477.9': '0.005153746',\n",
       "  '-1': '1.3624427e-05',\n",
       "  '460-519': '0.18846618',\n",
       "  '470-478': '0.8026241',\n",
       "  '477': '0.003742326'},\n",
       " '361.9': {'361.9': '0.015278537',\n",
       "  '-1': '1.0663833e-05',\n",
       "  '320-389': '0.30648398',\n",
       "  '360-379': '0.6732716',\n",
       "  '361': '0.004955257'},\n",
       " 'V10.09': {'V10.09': '0.08109756',\n",
       "  '-1': '1.2334093e-05',\n",
       "  'V01-V91': '0.17899275',\n",
       "  'V10-V19': '0.0531931',\n",
       "  'V10': '0.47211125',\n",
       "  'V10.0': '0.21459301'},\n",
       " '695.2': {'695.2': '0.17753147',\n",
       "  '-1': '3.693247e-05',\n",
       "  '680-709': '0.008332408',\n",
       "  '690-698': '0.009542273',\n",
       "  '695': '0.8045569'},\n",
       " '702.19': {'702.19': '0.00055902405',\n",
       "  '-1': '6.061375e-06',\n",
       "  '680-709': '0.001356582',\n",
       "  '700-709': '0.92421514',\n",
       "  '702': '0.072986245',\n",
       "  '702.1': '0.0008769959'},\n",
       " '656.41': {'656.41': '0.03954759',\n",
       "  '-1': '1.0960185e-05',\n",
       "  '630-679': '0.3134101',\n",
       "  '650-659': '0.6165834',\n",
       "  '656.4': '0.009505873',\n",
       "  '656': '0.020942044'},\n",
       " '112.1': {'112.1': '0.034621835',\n",
       "  '-1': '1.3282071e-05',\n",
       "  '001-139': '0.2541264',\n",
       "  '110-118': '0.33049235',\n",
       "  '112': '0.38074613'},\n",
       " '730.25': {'730.25': '2.9757732e-05',\n",
       "  '-1': '6.668455e-08',\n",
       "  '710-739': '0.007959316',\n",
       "  '730': '4.6935384e-06',\n",
       "  '730-739': '0.99109435',\n",
       "  '730.2': '0.0009117982'},\n",
       " '997.71': {'997.71': '0.017966716',\n",
       "  '-1': '1.2083006e-05',\n",
       "  '800-999': '0.14037782',\n",
       "  '996-999': '0.8379487',\n",
       "  '997': '0.003040463',\n",
       "  '997.7': '0.0006542685'},\n",
       " '209.69': {'209.69': '0.057109084',\n",
       "  '-1': '1.0314015e-05',\n",
       "  '140-239': '0.78789955',\n",
       "  '200-209': '0.00038916853',\n",
       "  '209': '0.14953446',\n",
       "  '209.6': '0.0050574346'},\n",
       " '516.3': {'516.3': '0.3268928',\n",
       "  '-1': '1.0741199e-05',\n",
       "  '460-519': '0.14936832',\n",
       "  '510-519': '0.383708',\n",
       "  '516': '0.14002018'},\n",
       " '603.8': {'603.8': '0.049946472',\n",
       "  '-1': '4.314722e-05',\n",
       "  '580-629': '0.3284728',\n",
       "  '600-608': '0.0056149065',\n",
       "  '603': '0.6159227'},\n",
       " '304.22': {'304.22': '9.017442e-05',\n",
       "  '-1': '7.4171904e-09',\n",
       "  '300-316': '0.9985203',\n",
       "  '290-319': '0.0013868324',\n",
       "  '304': '1.41520085e-08',\n",
       "  '304.2': '2.6477812e-06'},\n",
       " '279.3': {'279.3': '0.003522749',\n",
       "  '-1': '8.215484e-06',\n",
       "  '240-279': '0.043187782',\n",
       "  '279': '0.44243625',\n",
       "  '270-279': '0.51084495'},\n",
       " '049.1': {'049.1': '0.04081468',\n",
       "  '-1': '4.9403454e-05',\n",
       "  '001-139': '0.942634',\n",
       "  '045-049': '0.0020051887',\n",
       "  '049': '0.014496802'},\n",
       " '738.4': {'738.4': '0.001173362',\n",
       "  '-1': '6.521559e-08',\n",
       "  '710-739': '0.0079131685',\n",
       "  '730-739': '0.99051636',\n",
       "  '738': '0.00039703966'},\n",
       " '013.25': {'013.25': '0.0013200104',\n",
       "  '-1': '6.407528e-07',\n",
       "  '001-139': '0.011808182',\n",
       "  '010-018': '0.9492224',\n",
       "  '013': '0.0060052597',\n",
       "  '013.2': '0.031643506'},\n",
       " 'E887': {'E887': '0.0013696937',\n",
       "  '-1': '5.158932e-07',\n",
       "  'E000-E999': '0.00851959',\n",
       "  'E880-E888': '0.9901103'},\n",
       " '269.9': {'269.9': '0.004785203',\n",
       "  '-1': '6.413252e-06',\n",
       "  '240-279': '0.03345719',\n",
       "  '269': '0.961131',\n",
       "  '260-269': '0.00062018295'},\n",
       " '424.1': {'424.1': '0.0019940285',\n",
       "  '-1': '1.6726128e-05',\n",
       "  '390-459': '0.096064225',\n",
       "  '420-429': '0.7015988',\n",
       "  '424': '0.20032617'},\n",
       " '070.70': {'070.70': '3.184405e-05',\n",
       "  '-1': '2.3609869e-07',\n",
       "  '001-139': '0.0044568437',\n",
       "  '070-079': '1.9774207e-05',\n",
       "  '070': '0.9546346',\n",
       "  '070.7': '0.04085675'},\n",
       " '438.30': {'438.30': '0.047017764',\n",
       "  '-1': '1.0975661e-05',\n",
       "  '390-459': '0.06413169',\n",
       "  '430-438': '0.81317985',\n",
       "  '438': '0.060918603',\n",
       "  '438.3': '0.014741095'},\n",
       " '295.90': {'295.90': '0.0026513336',\n",
       "  '-1': '5.3370563e-06',\n",
       "  '290-319': '0.98802537',\n",
       "  '295-299': '0.0076496676',\n",
       "  '295': '0.00030371442',\n",
       "  '295.9': '0.0013646479'},\n",
       " '572.2': {'572.2': '0.18183765',\n",
       "  '-1': '2.9245635e-05',\n",
       "  '520-579': '0.44605717',\n",
       "  '570-579': '0.37153658',\n",
       "  '572': '0.00053929054'},\n",
       " '924.5': {'924.5': '0.00020097618',\n",
       "  '-1': '3.5590483e-07',\n",
       "  '800-999': '0.004079026',\n",
       "  '920-924': '4.5827892e-05',\n",
       "  '924': '0.99567384'},\n",
       " '530.87': {'530.87': '0.0005309945',\n",
       "  '-1': '4.931549e-07',\n",
       "  '520-579': '0.0073353723',\n",
       "  '530-539': '1.4007434e-05',\n",
       "  '530': '0.9896323',\n",
       "  '530.8': '0.0024868392'},\n",
       " '445.81': {'445.81': '3.8103844e-05',\n",
       "  '-1': '3.4762675e-07',\n",
       "  '390-459': '0.0020113494',\n",
       "  '440-449': '0.8318383',\n",
       "  '445': '0.16562527',\n",
       "  '445.8': '0.00048662606'},\n",
       " '802.21': {'802.21': '0.0118470425',\n",
       "  '-1': '2.3777116e-05',\n",
       "  '800-999': '0.27268717',\n",
       "  '800-804': '0.00368655',\n",
       "  '802': '0.7093642',\n",
       "  '802.2': '0.0023911798'},\n",
       " '262': {'262': '0.027975574',\n",
       "  '-1': '0.00018379981',\n",
       "  '240-279': '0.9541335',\n",
       "  '260-269': '0.017707115'},\n",
       " '604.90': {'604.90': '0.8728149',\n",
       "  '-1': '8.97701e-06',\n",
       "  '580-629': '0.06816151',\n",
       "  '600-608': '0.0011642204',\n",
       "  '604': '0.0005799672',\n",
       "  '604.9': '0.05727044'},\n",
       " '562.10': {'562.10': '0.029716095',\n",
       "  '-1': '8.887969e-06',\n",
       "  '520-579': '0.13315593',\n",
       "  '560-569': '0.67582405',\n",
       "  '562.1': '0.0136334505',\n",
       "  '562': '0.14766163'},\n",
       " 'E920.1': {'E920.1': '0.17708524',\n",
       "  '-1': '2.1880507e-05',\n",
       "  'E000-E999': '0.356957',\n",
       "  'E916-E928': '0.24711539',\n",
       "  'E920': '0.21882053'},\n",
       " '900.03': {'900.03': '0.40524748',\n",
       "  '-1': '4.8531867e-05',\n",
       "  '800-999': '0.5579048',\n",
       "  '900-904': '0.0072775786',\n",
       "  '900': '0.0022091467',\n",
       "  '900.0': '0.027312543'},\n",
       " 'V50.41': {'V50.41': '0.0009905893',\n",
       "  '-1': '3.736426e-05',\n",
       "  'V01-V91': '0.5380837',\n",
       "  'V50-V59': '0.00023824966',\n",
       "  'V50': '0.43104225',\n",
       "  'V50.4': '0.029607823'},\n",
       " '706.8': {'706.8': '0.007903061',\n",
       "  '-1': '6.4313313e-06',\n",
       "  '680-709': '0.001443503',\n",
       "  '700-709': '0.99063414',\n",
       "  '706': '1.2822067e-05'},\n",
       " '423.3': {'423.3': '4.2764983e-05',\n",
       "  '-1': '1.9750467e-05',\n",
       "  '390-459': '0.116051175',\n",
       "  '420-429': '0.88138986',\n",
       "  '423': '0.002496433'},\n",
       " '732.4': {'732.4': '1.0363824e-06',\n",
       "  '-1': '6.335952e-08',\n",
       "  '710-739': '0.007787631',\n",
       "  '730-739': '0.992207',\n",
       "  '732': '4.1919575e-06'},\n",
       " 'V76.51': {'V76.51': '0.07563421',\n",
       "  '-1': '4.418425e-05',\n",
       "  'V01-V91': '0.6493574',\n",
       "  'V70-V82': '0.19977991',\n",
       "  'V76.5': '0.0026015209',\n",
       "  'V76': '0.072582774'},\n",
       " '173.3': {'173.3': '0.017109917',\n",
       "  '-1': '8.677081e-06',\n",
       "  '140-239': '0.64441997',\n",
       "  '170-176': '0.0005770325',\n",
       "  '173': '0.3378845'},\n",
       " '041.9': {'041.9': '0.0037596945',\n",
       "  '-1': '4.44871e-06',\n",
       "  '001-139': '0.08467681',\n",
       "  '041': '0.9109013',\n",
       "  '030-041': '0.00065774645'},\n",
       " '682.1': {'682.1': '0.8098029',\n",
       "  '-1': '0.00040354647',\n",
       "  '680-709': '0.0911172',\n",
       "  '680-686': '0.02070759',\n",
       "  '682': '0.07796881'},\n",
       " '278.03': {'278.03': '0.00065838435',\n",
       "  '-1': '2.2688123e-06',\n",
       "  '240-279': '0.011992183',\n",
       "  '270-279': '0.14187726',\n",
       "  '278.0': '0.84546274',\n",
       "  '278': '7.0765045e-06'},\n",
       " '786.06': {'786.06': '0.8784388',\n",
       "  '-1': '2.9608889e-06',\n",
       "  '780-789': '0.0001534479',\n",
       "  '780-799': '0.044315357',\n",
       "  '786': '0.044459675',\n",
       "  '786.0': '0.032629743'},\n",
       " 'V43.63': {'V43.63': '0.039151624',\n",
       "  '-1': '2.731941e-06',\n",
       "  'V01-V91': '0.040542908',\n",
       "  'V40-V49': '0.9120625',\n",
       "  'V43.6': '0.000919321',\n",
       "  'V43': '0.0073208148'},\n",
       " '378.52': {'378.52': '0.0011795856',\n",
       "  '-1': '9.130345e-06',\n",
       "  '320-389': '0.26461378',\n",
       "  '360-379': '0.58316886',\n",
       "  '378': '0.13859442',\n",
       "  '378.5': '0.012434306'},\n",
       " '211.5': {'211.5': '0.0053587947',\n",
       "  '-1': '1.2145126e-06',\n",
       "  '140-239': '0.09226081',\n",
       "  '210-229': '2.4331e-05',\n",
       "  '211': '0.9023549'},\n",
       " '343.8': {'343.8': '5.0164244e-06',\n",
       "  '-1': '1.1097417e-07',\n",
       "  '320-389': '0.0032441905',\n",
       "  '340-349': '0.9932481',\n",
       "  '343': '0.00350255'},\n",
       " 'V45.12': {'V45.12': '0.0007692579',\n",
       "  'V45.1': '0.0054367627',\n",
       "  '-1': '2.8301433e-06',\n",
       "  'V01-V91': '0.041907057',\n",
       "  'V40-V49': '0.941094',\n",
       "  'V45': '0.010790174'},\n",
       " '348.82': {'348.82': '1.712538e-05',\n",
       "  '348.8': '0.0002329716',\n",
       "  '-1': '1.1592473e-07',\n",
       "  '320-389': '0.0033438068',\n",
       "  '340-349': '0.9962779',\n",
       "  '348': '0.00012794917'},\n",
       " 'V10.12': {'V10.12': '0.20539865',\n",
       "  '-1': '1.3793398e-05',\n",
       "  'V01-V91': '0.19907725',\n",
       "  'V10-V19': '0.059399415',\n",
       "  'V10': '0.52606165',\n",
       "  'V10.1': '0.010049242'},\n",
       " '466.0': {'466.0': '0.09585023',\n",
       "  '-1': '3.0455349e-05',\n",
       "  '460-519': '0.42642528',\n",
       "  '460-466': '0.41238546',\n",
       "  '466': '0.06530863'},\n",
       " '556.1': {'556.1': '0.010802319',\n",
       "  '-1': '3.9442162e-05',\n",
       "  '520-579': '0.6080355',\n",
       "  '556': '0.08947305',\n",
       "  '555-558': '0.29164973'},\n",
       " 'E815.0': {'E815.0': '0.001550264',\n",
       "  '-1': '4.0043838e-06',\n",
       "  'E000-E999': '0.06659666',\n",
       "  'E810-E819': '0.26339814',\n",
       "  'E815': '0.66845095'},\n",
       " '724.09': {'724.09': '0.003028438',\n",
       "  '-1': '5.80101e-06',\n",
       "  '710-739': '0.7048527',\n",
       "  '720-724': '0.000137102',\n",
       "  '724': '0.29025015',\n",
       "  '724.0': '0.0017258422'},\n",
       " '191.2': {'191.2': '0.018144626',\n",
       "  '-1': '2.0851814e-06',\n",
       "  '140-239': '0.15728165',\n",
       "  '190-199': '0.8146618',\n",
       "  '191': '0.009909806'},\n",
       " ...}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attention_comp"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05b20968",
   "metadata": {},
   "source": [
    "## 1.2 Load input frequency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e4dfd1cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_input_frequency_dict(run_id) -> Dict[str, Dict[str, float]]:\n",
    "    run_frequency_path = Path(\"../\"\n",
    "        + config.mlflow_dir\n",
    "        + \"{run_id}/artifacts/train_frequency.csv\".format(run_id=run_id)\n",
    "    )\n",
    "    if not run_frequency_path.exists():\n",
    "        logging.debug(\"No frequency file for run {} in MlFlow dir\".format(run_id))\n",
    "        return {}\n",
    "\n",
    "    input_frequency_df = pd.read_csv(run_frequency_path).set_index(\"feature\")\n",
    "    input_frequency_df[\"relative_frequency\"] = input_frequency_df[\n",
    "        \"absolue_frequency\"\n",
    "    ] / sum(input_frequency_df[\"absolue_frequency\"])\n",
    "    return input_frequency_df.to_dict(\"index\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "484b317c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'996.04': {'absolue_frequency': 15,\n",
       "  'relative_frequency': 5.318715140254518e-05},\n",
       " '251.5': {'absolue_frequency': 2,\n",
       "  'relative_frequency': 7.091620187006025e-06},\n",
       " '805.6': {'absolue_frequency': 12,\n",
       "  'relative_frequency': 4.2549721122036144e-05},\n",
       " 'V61.42': {'absolue_frequency': 0, 'relative_frequency': 0.0},\n",
       " '600.10': {'absolue_frequency': 1,\n",
       "  'relative_frequency': 3.5458100935030123e-06},\n",
       " '482.0': {'absolue_frequency': 115,\n",
       "  'relative_frequency': 0.0004077681607528464},\n",
       " '227.0': {'absolue_frequency': 15,\n",
       "  'relative_frequency': 5.318715140254518e-05},\n",
       " '718.45': {'absolue_frequency': 0, 'relative_frequency': 0.0},\n",
       " '718.56': {'absolue_frequency': 1,\n",
       "  'relative_frequency': 3.5458100935030123e-06},\n",
       " '626.9': {'absolue_frequency': 1,\n",
       "  'relative_frequency': 3.5458100935030123e-06},\n",
       " '008.41': {'absolue_frequency': 1,\n",
       "  'relative_frequency': 3.5458100935030123e-06},\n",
       " '800.15': {'absolue_frequency': 1,\n",
       "  'relative_frequency': 3.5458100935030123e-06},\n",
       " '221.8': {'absolue_frequency': 2,\n",
       "  'relative_frequency': 7.091620187006025e-06},\n",
       " '761.8': {'absolue_frequency': 1,\n",
       "  'relative_frequency': 3.5458100935030123e-06},\n",
       " '852.40': {'absolue_frequency': 1,\n",
       "  'relative_frequency': 3.5458100935030123e-06},\n",
       " '153.9': {'absolue_frequency': 0, 'relative_frequency': 0.0},\n",
       " 'E927.8': {'absolue_frequency': 7,\n",
       "  'relative_frequency': 2.4820670654521084e-05},\n",
       " '070.31': {'absolue_frequency': 10,\n",
       "  'relative_frequency': 3.545810093503012e-05},\n",
       " '873.49': {'absolue_frequency': 3,\n",
       "  'relative_frequency': 1.0637430280509036e-05},\n",
       " '568.0': {'absolue_frequency': 145,\n",
       "  'relative_frequency': 0.0005141424635579368},\n",
       " '553.8': {'absolue_frequency': 8, 'relative_frequency': 2.83664807480241e-05},\n",
       " '572.0': {'absolue_frequency': 33,\n",
       "  'relative_frequency': 0.0001170117330855994},\n",
       " 'E959': {'absolue_frequency': 3,\n",
       "  'relative_frequency': 1.0637430280509036e-05},\n",
       " '297.9': {'absolue_frequency': 1,\n",
       "  'relative_frequency': 3.5458100935030123e-06},\n",
       " '873.1': {'absolue_frequency': 3,\n",
       "  'relative_frequency': 1.0637430280509036e-05},\n",
       " '944.25': {'absolue_frequency': 0, 'relative_frequency': 0.0},\n",
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       " 'V76.51': {'absolue_frequency': 4,\n",
       "  'relative_frequency': 1.418324037401205e-05},\n",
       " '173.3': {'absolue_frequency': 2,\n",
       "  'relative_frequency': 7.091620187006025e-06},\n",
       " '041.9': {'absolue_frequency': 8, 'relative_frequency': 2.83664807480241e-05},\n",
       " '682.1': {'absolue_frequency': 11,\n",
       "  'relative_frequency': 3.9003911028533136e-05},\n",
       " '278.03': {'absolue_frequency': 69,\n",
       "  'relative_frequency': 0.00024466089645170785},\n",
       " '786.06': {'absolue_frequency': 34,\n",
       "  'relative_frequency': 0.00012055754317910241},\n",
       " 'V43.63': {'absolue_frequency': 0, 'relative_frequency': 0.0},\n",
       " '378.52': {'absolue_frequency': 4,\n",
       "  'relative_frequency': 1.418324037401205e-05},\n",
       " '211.5': {'absolue_frequency': 9,\n",
       "  'relative_frequency': 3.1912290841527106e-05},\n",
       " '343.8': {'absolue_frequency': 0, 'relative_frequency': 0.0},\n",
       " 'V45.12': {'absolue_frequency': 64,\n",
       "  'relative_frequency': 0.0002269318459841928},\n",
       " '348.82': {'absolue_frequency': 0, 'relative_frequency': 0.0},\n",
       " 'V10.12': {'absolue_frequency': 1,\n",
       "  'relative_frequency': 3.5458100935030123e-06},\n",
       " '466.0': {'absolue_frequency': 90,\n",
       "  'relative_frequency': 0.0003191229084152711},\n",
       " '556.1': {'absolue_frequency': 1,\n",
       "  'relative_frequency': 3.5458100935030123e-06},\n",
       " 'E815.0': {'absolue_frequency': 16,\n",
       "  'relative_frequency': 5.67329614960482e-05},\n",
       " '724.09': {'absolue_frequency': 0, 'relative_frequency': 0.0},\n",
       " '191.2': {'absolue_frequency': 19,\n",
       "  'relative_frequency': 6.737039177655723e-05},\n",
       " ...}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_frequency = load_input_frequency_dict(refinement_run_id)\n",
    "train_frequency"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "820754e7",
   "metadata": {},
   "source": [
    "## 1.3 Generate comparison_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7b0642d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_best_rank_of(output: str, predictions_str: str) -> int:\n",
    "    predictions = ast.literal_eval(predictions_str)\n",
    "    return len([x for x in predictions if predictions[x] > predictions[output]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fb5d7205",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_prediction_df(prediction_df: pd.DataFrame) -> pd.DataFrame:\n",
    "    prediction_df[\"input_converted\"] = prediction_df[\"input\"].apply(\n",
    "        lambda x: \" -> \".join(\n",
    "            [\n",
    "                \", \".join([str(val) for val in sorted(v)])\n",
    "                for (_, v) in sorted(\n",
    "                    ast.literal_eval(x).items(), key=lambda y: y[0]\n",
    "                )\n",
    "            ]\n",
    "        )\n",
    "    )\n",
    "    prediction_df[\"inputs\"] = prediction_df[\"input\"].apply(\n",
    "        lambda x: \",\".join(\n",
    "            sorted(\n",
    "                set(\n",
    "                    [\n",
    "                        x\n",
    "                        for xs in [\n",
    "                            [str(val) for val in sorted(v)]\n",
    "                            for (_, v) in sorted(\n",
    "                                ast.literal_eval(x).items(), key=lambda y: y[0]\n",
    "                            )\n",
    "                        ]\n",
    "                        for x in xs\n",
    "                    ]\n",
    "                )\n",
    "            )\n",
    "        )\n",
    "        + \",\"\n",
    "    )\n",
    "    prediction_df[\"output\"] = prediction_df[\"output\"].apply(\n",
    "        lambda x: ast.literal_eval(x)\n",
    "    )\n",
    "    prediction_df = prediction_df.explode(\"output\")\n",
    "    prediction_df[\"output_rank\"] = prediction_df[[\"output\", \"predictions\"]].apply(\n",
    "        lambda x: get_best_rank_of(x[0], x[1]), axis=1\n",
    "    )\n",
    "    return prediction_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "aebab998",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_prediction_df(run_id) -> pd.DataFrame:\n",
    "    run_prediction_output_path = Path(\"../\"\n",
    "        + config.mlflow_dir\n",
    "        + \"{run_id}/artifacts/prediction_output.csv\".format(run_id=run_id)\n",
    "    )\n",
    "    if not run_prediction_output_path.exists():\n",
    "        logging.debug(\n",
    "            \"No prediction output file for run {} in local MlFlow dir\".format(\n",
    "                run_id\n",
    "            )\n",
    "        )\n",
    "        return pd.DataFrame()\n",
    "\n",
    "    prediction_output_df = pd.read_csv(run_prediction_output_path)\n",
    "    return convert_prediction_df(prediction_output_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db361a6b",
   "metadata": {},
   "source": [
    "### 1.3.1 Load reference dataframe with defined function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b620ac75",
   "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>input</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions</th>\n",
       "      <th>input_converted</th>\n",
       "      <th>inputs</th>\n",
       "      <th>output_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5', '576.1', '276.1', '998.59', '571.49']}</td>\n",
       "      <td>V40-V49</td>\n",
       "      <td>{'E820-E825': 1.5604852e-05, 'E850-E858': 0.00044317846, '580-589': 0.03815708, '790-796': 0.011...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577.0, 584.5, 998.59</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584.5,998.59,</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5', '576.1', '276.1', '998.59', '571.49']}</td>\n",
       "      <td>780-789</td>\n",
       "      <td>{'E820-E825': 1.5604852e-05, 'E850-E858': 0.00044317846, '580-589': 0.03815708, '790-796': 0.011...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577.0, 584.5, 998.59</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584.5,998.59,</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5', '576.1', '276.1', '998.59', '571.49']}</td>\n",
       "      <td>430-438</td>\n",
       "      <td>{'E820-E825': 1.5604852e-05, 'E850-E858': 0.00044317846, '580-589': 0.03815708, '790-796': 0.011...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577.0, 584.5, 998.59</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584.5,998.59,</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5', '576.1', '276.1', '998.59', '571.49']}</td>\n",
       "      <td>284</td>\n",
       "      <td>{'E820-E825': 1.5604852e-05, 'E850-E858': 0.00044317846, '580-589': 0.03815708, '790-796': 0.011...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577.0, 584.5, 998.59</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584.5,998.59,</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5', '576.1', '276.1', '998.59', '571.49']}</td>\n",
       "      <td>340-349</td>\n",
       "      <td>{'E820-E825': 1.5604852e-05, 'E850-E858': 0.00044317846, '580-589': 0.03815708, '790-796': 0.011...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577.0, 584.5, 998.59</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584.5,998.59,</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                     input  \\\n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5', '576.1', '276.1', '998.59', '571.49']}   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5', '576.1', '276.1', '998.59', '571.49']}   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5', '576.1', '276.1', '998.59', '571.49']}   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5', '576.1', '276.1', '998.59', '571.49']}   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5', '576.1', '276.1', '998.59', '571.49']}   \n",
       "\n",
       "    output  \\\n",
       "0  V40-V49   \n",
       "0  780-789   \n",
       "0  430-438   \n",
       "0      284   \n",
       "0  340-349   \n",
       "\n",
       "                                                                                           predictions  \\\n",
       "0  {'E820-E825': 1.5604852e-05, 'E850-E858': 0.00044317846, '580-589': 0.03815708, '790-796': 0.011...   \n",
       "0  {'E820-E825': 1.5604852e-05, 'E850-E858': 0.00044317846, '580-589': 0.03815708, '790-796': 0.011...   \n",
       "0  {'E820-E825': 1.5604852e-05, 'E850-E858': 0.00044317846, '580-589': 0.03815708, '790-796': 0.011...   \n",
       "0  {'E820-E825': 1.5604852e-05, 'E850-E858': 0.00044317846, '580-589': 0.03815708, '790-796': 0.011...   \n",
       "0  {'E820-E825': 1.5604852e-05, 'E850-E858': 0.00044317846, '580-589': 0.03815708, '790-796': 0.011...   \n",
       "\n",
       "                                                  input_converted  \\\n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577.0, 584.5, 998.59   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577.0, 584.5, 998.59   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577.0, 584.5, 998.59   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577.0, 584.5, 998.59   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577.0, 584.5, 998.59   \n",
       "\n",
       "                                                    inputs  output_rank  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584.5,998.59,            8  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584.5,998.59,            2  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584.5,998.59,           52  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584.5,998.59,           45  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584.5,998.59,           24  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "suffix_base=\"_base\"\n",
    "suffix_comp=\"_comp\"\n",
    "\n",
    "prediction_df_base = load_prediction_df(reference_run_id)\n",
    "prediction_df_base.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da101c95",
   "metadata": {},
   "source": [
    "### 1.3.2 Load refinement dataframe step by step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6c34c718",
   "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>input</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>['V40-V49', '780-789', '430-438', '284', '340-...</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>{0: ['568.0', '263.9', '410.11', '453.8', '997...</td>\n",
       "      <td>['285', '510-519', '780-789', '430-438', 'V50-...</td>\n",
       "      <td>{'E820-E825': 8.152219e-06, 'E850-E858': 8.334...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>{0: ['244.9', '790.01', '600.0', 'V58.61', '39...</td>\n",
       "      <td>['790-796', '030-041', 'V40-V49', '320-327', '...</td>\n",
       "      <td>{'E820-E825': 1.6887843e-05, 'E850-E858': 0.00...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>{0: ['E879.8', '410.12', '427.1', '428.0', '99...</td>\n",
       "      <td>['780-789', '420-429', '270-279', '410-414']</td>\n",
       "      <td>{'E820-E825': 1.5772624e-05, 'E850-E858': 0.00...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>{0: ['E879.8', '410.12', '427.1', '428.0', '99...</td>\n",
       "      <td>['780-789', '420-429', '410-414', '996-999', '...</td>\n",
       "      <td>{'E820-E825': 2.8320835e-06, 'E850-E858': 0.00...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               input  \\\n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...   \n",
       "1  {0: ['568.0', '263.9', '410.11', '453.8', '997...   \n",
       "2  {0: ['244.9', '790.01', '600.0', 'V58.61', '39...   \n",
       "3  {0: ['E879.8', '410.12', '427.1', '428.0', '99...   \n",
       "4  {0: ['E879.8', '410.12', '427.1', '428.0', '99...   \n",
       "\n",
       "                                              output  \\\n",
       "0  ['V40-V49', '780-789', '430-438', '284', '340-...   \n",
       "1  ['285', '510-519', '780-789', '430-438', 'V50-...   \n",
       "2  ['790-796', '030-041', 'V40-V49', '320-327', '...   \n",
       "3       ['780-789', '420-429', '270-279', '410-414']   \n",
       "4  ['780-789', '420-429', '410-414', '996-999', '...   \n",
       "\n",
       "                                         predictions  \n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...  \n",
       "1  {'E820-E825': 8.152219e-06, 'E850-E858': 8.334...  \n",
       "2  {'E820-E825': 1.6887843e-05, 'E850-E858': 0.00...  \n",
       "3  {'E820-E825': 1.5772624e-05, 'E850-E858': 0.00...  \n",
       "4  {'E820-E825': 2.8320835e-06, 'E850-E858': 0.00...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# prediction_df_comp = load_prediction_df(refinement_run_id)\n",
    "\n",
    "# load prediction dataframe\n",
    "run_prediction_output_path = Path(\"../\"\n",
    "    + config.mlflow_dir\n",
    "    + \"{run_id}/artifacts/prediction_output.csv\".format(run_id=refinement_run_id)\n",
    ")\n",
    "prediction_df_comp = pd.read_csv(run_prediction_output_path)\n",
    "prediction_df_comp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "240681ef",
   "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>input</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions</th>\n",
       "      <th>input_converted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>['V40-V49', '780-789', '430-438', '284', '340-...</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>{0: ['568.0', '263.9', '410.11', '453.8', '997...</td>\n",
       "      <td>['285', '510-519', '780-789', '430-438', 'V50-...</td>\n",
       "      <td>{'E820-E825': 8.152219e-06, 'E850-E858': 8.334...</td>\n",
       "      <td>153.4, 211.3, 263.9, 410.11, 428.0, 453.8, 568...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>{0: ['244.9', '790.01', '600.0', 'V58.61', '39...</td>\n",
       "      <td>['790-796', '030-041', 'V40-V49', '320-327', '...</td>\n",
       "      <td>{'E820-E825': 1.6887843e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>244.9, 396.3, 401.9, 427.31, 600.0, 780.51, 79...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>{0: ['E879.8', '410.12', '427.1', '428.0', '99...</td>\n",
       "      <td>['780-789', '420-429', '270-279', '410-414']</td>\n",
       "      <td>{'E820-E825': 1.5772624e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>{0: ['E879.8', '410.12', '427.1', '428.0', '99...</td>\n",
       "      <td>['780-789', '420-429', '410-414', '996-999', '...</td>\n",
       "      <td>{'E820-E825': 2.8320835e-06, 'E850-E858': 0.00...</td>\n",
       "      <td>287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               input  \\\n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...   \n",
       "1  {0: ['568.0', '263.9', '410.11', '453.8', '997...   \n",
       "2  {0: ['244.9', '790.01', '600.0', 'V58.61', '39...   \n",
       "3  {0: ['E879.8', '410.12', '427.1', '428.0', '99...   \n",
       "4  {0: ['E879.8', '410.12', '427.1', '428.0', '99...   \n",
       "\n",
       "                                              output  \\\n",
       "0  ['V40-V49', '780-789', '430-438', '284', '340-...   \n",
       "1  ['285', '510-519', '780-789', '430-438', 'V50-...   \n",
       "2  ['790-796', '030-041', 'V40-V49', '320-327', '...   \n",
       "3       ['780-789', '420-429', '270-279', '410-414']   \n",
       "4  ['780-789', '420-429', '410-414', '996-999', '...   \n",
       "\n",
       "                                         predictions  \\\n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "1  {'E820-E825': 8.152219e-06, 'E850-E858': 8.334...   \n",
       "2  {'E820-E825': 1.6887843e-05, 'E850-E858': 0.00...   \n",
       "3  {'E820-E825': 1.5772624e-05, 'E850-E858': 0.00...   \n",
       "4  {'E820-E825': 2.8320835e-06, 'E850-E858': 0.00...   \n",
       "\n",
       "                                     input_converted  \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....  \n",
       "1  153.4, 211.3, 263.9, 410.11, 428.0, 453.8, 568...  \n",
       "2  244.9, 396.3, 401.9, 427.31, 600.0, 780.51, 79...  \n",
       "3  287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...  \n",
       "4  287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# \n",
    "prediction_df_comp[\"input_converted\"] = prediction_df_comp[\"input\"].apply(\n",
    "    lambda x: \" -> \".join(\n",
    "        [\n",
    "            \", \".join([str(val) for val in sorted(v)])\n",
    "            for (_, v) in sorted(\n",
    "                ast.literal_eval(x).items(), key=lambda y: y[0]\n",
    "            )\n",
    "        ]\n",
    "    )\n",
    ")\n",
    "prediction_df_comp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5246949d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>input</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions</th>\n",
       "      <th>input_converted</th>\n",
       "      <th>inputs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>['V40-V49', '780-789', '430-438', '284', '340-...</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>{0: ['568.0', '263.9', '410.11', '453.8', '997...</td>\n",
       "      <td>['285', '510-519', '780-789', '430-438', 'V50-...</td>\n",
       "      <td>{'E820-E825': 8.152219e-06, 'E850-E858': 8.334...</td>\n",
       "      <td>153.4, 211.3, 263.9, 410.11, 428.0, 453.8, 568...</td>\n",
       "      <td>153.4,211.3,263.9,410.11,428.0,453.8,568.0,997...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>{0: ['244.9', '790.01', '600.0', 'V58.61', '39...</td>\n",
       "      <td>['790-796', '030-041', 'V40-V49', '320-327', '...</td>\n",
       "      <td>{'E820-E825': 1.6887843e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>244.9, 396.3, 401.9, 427.31, 600.0, 780.51, 79...</td>\n",
       "      <td>244.9,396.3,401.9,427.31,600.0,780.51,790.01,V...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>{0: ['E879.8', '410.12', '427.1', '428.0', '99...</td>\n",
       "      <td>['780-789', '420-429', '270-279', '410-414']</td>\n",
       "      <td>{'E820-E825': 1.5772624e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...</td>\n",
       "      <td>287.5,410.12,427.1,427.31,428.0,451.84,999.2,E...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>{0: ['E879.8', '410.12', '427.1', '428.0', '99...</td>\n",
       "      <td>['780-789', '420-429', '410-414', '996-999', '...</td>\n",
       "      <td>{'E820-E825': 2.8320835e-06, 'E850-E858': 0.00...</td>\n",
       "      <td>287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...</td>\n",
       "      <td>276.8,287.5,410.12,412,414.01,414.8,427.1,427....</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               input  \\\n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...   \n",
       "1  {0: ['568.0', '263.9', '410.11', '453.8', '997...   \n",
       "2  {0: ['244.9', '790.01', '600.0', 'V58.61', '39...   \n",
       "3  {0: ['E879.8', '410.12', '427.1', '428.0', '99...   \n",
       "4  {0: ['E879.8', '410.12', '427.1', '428.0', '99...   \n",
       "\n",
       "                                              output  \\\n",
       "0  ['V40-V49', '780-789', '430-438', '284', '340-...   \n",
       "1  ['285', '510-519', '780-789', '430-438', 'V50-...   \n",
       "2  ['790-796', '030-041', 'V40-V49', '320-327', '...   \n",
       "3       ['780-789', '420-429', '270-279', '410-414']   \n",
       "4  ['780-789', '420-429', '410-414', '996-999', '...   \n",
       "\n",
       "                                         predictions  \\\n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "1  {'E820-E825': 8.152219e-06, 'E850-E858': 8.334...   \n",
       "2  {'E820-E825': 1.6887843e-05, 'E850-E858': 0.00...   \n",
       "3  {'E820-E825': 1.5772624e-05, 'E850-E858': 0.00...   \n",
       "4  {'E820-E825': 2.8320835e-06, 'E850-E858': 0.00...   \n",
       "\n",
       "                                     input_converted  \\\n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "1  153.4, 211.3, 263.9, 410.11, 428.0, 453.8, 568...   \n",
       "2  244.9, 396.3, 401.9, 427.31, 600.0, 780.51, 79...   \n",
       "3  287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...   \n",
       "4  287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...   \n",
       "\n",
       "                                              inputs  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....  \n",
       "1  153.4,211.3,263.9,410.11,428.0,453.8,568.0,997...  \n",
       "2  244.9,396.3,401.9,427.31,600.0,780.51,790.01,V...  \n",
       "3  287.5,410.12,427.1,427.31,428.0,451.84,999.2,E...  \n",
       "4  276.8,287.5,410.12,412,414.01,414.8,427.1,427....  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction_df_comp[\"inputs\"] = prediction_df_comp[\"input\"].apply(\n",
    "    lambda x: \",\".join(\n",
    "        sorted(\n",
    "            set(\n",
    "                [\n",
    "                    x\n",
    "                    for xs in [\n",
    "                        [str(val) for val in sorted(v)]\n",
    "                        for (_, v) in sorted(\n",
    "                            ast.literal_eval(x).items(), key=lambda y: y[0]\n",
    "                        )\n",
    "                    ]\n",
    "                    for x in xs\n",
    "                ]\n",
    "            )\n",
    "        )\n",
    "    )\n",
    "    + \",\"\n",
    ")\n",
    "prediction_df_comp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b6eaa744",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>input</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions</th>\n",
       "      <th>input_converted</th>\n",
       "      <th>inputs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>[V40-V49, 780-789, 430-438, 284, 340-349]</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>{0: ['568.0', '263.9', '410.11', '453.8', '997...</td>\n",
       "      <td>[285, 510-519, 780-789, 430-438, V50-V59, 401-...</td>\n",
       "      <td>{'E820-E825': 8.152219e-06, 'E850-E858': 8.334...</td>\n",
       "      <td>153.4, 211.3, 263.9, 410.11, 428.0, 453.8, 568...</td>\n",
       "      <td>153.4,211.3,263.9,410.11,428.0,453.8,568.0,997...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>{0: ['244.9', '790.01', '600.0', 'V58.61', '39...</td>\n",
       "      <td>[790-796, 030-041, V40-V49, 320-327, 590-599, ...</td>\n",
       "      <td>{'E820-E825': 1.6887843e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>244.9, 396.3, 401.9, 427.31, 600.0, 780.51, 79...</td>\n",
       "      <td>244.9,396.3,401.9,427.31,600.0,780.51,790.01,V...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>{0: ['E879.8', '410.12', '427.1', '428.0', '99...</td>\n",
       "      <td>[780-789, 420-429, 270-279, 410-414]</td>\n",
       "      <td>{'E820-E825': 1.5772624e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...</td>\n",
       "      <td>287.5,410.12,427.1,427.31,428.0,451.84,999.2,E...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>{0: ['E879.8', '410.12', '427.1', '428.0', '99...</td>\n",
       "      <td>[780-789, 420-429, 410-414, 996-999, 249-259]</td>\n",
       "      <td>{'E820-E825': 2.8320835e-06, 'E850-E858': 0.00...</td>\n",
       "      <td>287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...</td>\n",
       "      <td>276.8,287.5,410.12,412,414.01,414.8,427.1,427....</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               input  \\\n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...   \n",
       "1  {0: ['568.0', '263.9', '410.11', '453.8', '997...   \n",
       "2  {0: ['244.9', '790.01', '600.0', 'V58.61', '39...   \n",
       "3  {0: ['E879.8', '410.12', '427.1', '428.0', '99...   \n",
       "4  {0: ['E879.8', '410.12', '427.1', '428.0', '99...   \n",
       "\n",
       "                                              output  \\\n",
       "0          [V40-V49, 780-789, 430-438, 284, 340-349]   \n",
       "1  [285, 510-519, 780-789, 430-438, V50-V59, 401-...   \n",
       "2  [790-796, 030-041, V40-V49, 320-327, 590-599, ...   \n",
       "3               [780-789, 420-429, 270-279, 410-414]   \n",
       "4      [780-789, 420-429, 410-414, 996-999, 249-259]   \n",
       "\n",
       "                                         predictions  \\\n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "1  {'E820-E825': 8.152219e-06, 'E850-E858': 8.334...   \n",
       "2  {'E820-E825': 1.6887843e-05, 'E850-E858': 0.00...   \n",
       "3  {'E820-E825': 1.5772624e-05, 'E850-E858': 0.00...   \n",
       "4  {'E820-E825': 2.8320835e-06, 'E850-E858': 0.00...   \n",
       "\n",
       "                                     input_converted  \\\n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "1  153.4, 211.3, 263.9, 410.11, 428.0, 453.8, 568...   \n",
       "2  244.9, 396.3, 401.9, 427.31, 600.0, 780.51, 79...   \n",
       "3  287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...   \n",
       "4  287.5, 410.12, 427.1, 427.31, 428.0, 451.84, 9...   \n",
       "\n",
       "                                              inputs  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....  \n",
       "1  153.4,211.3,263.9,410.11,428.0,453.8,568.0,997...  \n",
       "2  244.9,396.3,401.9,427.31,600.0,780.51,790.01,V...  \n",
       "3  287.5,410.12,427.1,427.31,428.0,451.84,999.2,E...  \n",
       "4  276.8,287.5,410.12,412,414.01,414.8,427.1,427....  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction_df_comp[\"output\"] = prediction_df_comp[\"output\"].apply(\n",
    "    lambda x: ast.literal_eval(x)\n",
    ")\n",
    "prediction_df_comp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fd6caa76",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>input</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions</th>\n",
       "      <th>input_converted</th>\n",
       "      <th>inputs</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>V40-V49</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>780-789</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>430-438</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>284</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>340-349</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584....</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               input   output  \\\n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...  V40-V49   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...  780-789   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...  430-438   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...      284   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...  340-349   \n",
       "\n",
       "                                         predictions  \\\n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "\n",
       "                                     input_converted  \\\n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "\n",
       "                                              inputs  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction_df_comp = prediction_df_comp.explode(\"output\")\n",
    "prediction_df_comp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4b5ccff3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>input</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions</th>\n",
       "      <th>input_converted</th>\n",
       "      <th>inputs</th>\n",
       "      <th>output_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>V40-V49</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584....</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>780-789</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584....</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>430-438</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584....</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>284</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584....</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{0: ['008.45', '577.0', '570', '276.7', '584.5...</td>\n",
       "      <td>340-349</td>\n",
       "      <td>{'E820-E825': 7.797591e-06, 'E850-E858': 0.000...</td>\n",
       "      <td>008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....</td>\n",
       "      <td>008.45,276.1,276.7,570,571.49,576.1,577.0,584....</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               input   output  \\\n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...  V40-V49   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...  780-789   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...  430-438   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...      284   \n",
       "0  {0: ['008.45', '577.0', '570', '276.7', '584.5...  340-349   \n",
       "\n",
       "                                         predictions  \\\n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "0  {'E820-E825': 7.797591e-06, 'E850-E858': 0.000...   \n",
       "\n",
       "                                     input_converted  \\\n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "0  008.45, 276.1, 276.7, 570, 571.49, 576.1, 577....   \n",
       "\n",
       "                                              inputs  output_rank  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....           12  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....            3  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....           58  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....           39  \n",
       "0  008.45,276.1,276.7,570,571.49,576.1,577.0,584....           34  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction_df_comp[\"output_rank\"] = prediction_df_comp[[\"output\", \"predictions\"]].apply(\n",
    "    lambda x: get_best_rank_of(x[0], x[1]), axis=1\n",
    ")\n",
    "prediction_df_comp.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee428691",
   "metadata": {},
   "source": [
    "### 1.3.3 Generate final comparison dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f4933f61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>index</th>\n",
       "      <th>input_base</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions_base</th>\n",
       "      <th>input_converted</th>\n",
       "      <th>inputs</th>\n",
       "      <th>output_rank_base</th>\n",
       "      <th>input_comp</th>\n",
       "      <th>predictions_comp</th>\n",
       "      <th>output_rank_comp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>{0: ['E935.8', '070.44', '338.29', '493.20', '...</td>\n",
       "      <td>030-041</td>\n",
       "      <td>{'E820-E825': 5.4491316e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>007.4, 070.44, 250.83, 279.06, 338.29, 493.20,...</td>\n",
       "      <td>007.4,070.44,250.83,279.06,338.29,493.20,560.1...</td>\n",
       "      <td>14</td>\n",
       "      <td>{0: ['E935.8', '070.44', '338.29', '493.20', '...</td>\n",
       "      <td>{'E820-E825': 3.717914e-05, 'E850-E858': 0.003...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>{0: ['E935.8', '070.44', '338.29', '493.20', '...</td>\n",
       "      <td>070-079</td>\n",
       "      <td>{'E820-E825': 5.4491316e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>007.4, 070.44, 250.83, 279.06, 338.29, 493.20,...</td>\n",
       "      <td>007.4,070.44,250.83,279.06,338.29,493.20,560.1...</td>\n",
       "      <td>23</td>\n",
       "      <td>{0: ['E935.8', '070.44', '338.29', '493.20', '...</td>\n",
       "      <td>{'E820-E825': 3.717914e-05, 'E850-E858': 0.003...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>{0: ['E935.8', '070.44', '338.29', '493.20', '...</td>\n",
       "      <td>249-259</td>\n",
       "      <td>{'E820-E825': 5.4491316e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>007.4, 070.44, 250.83, 279.06, 338.29, 493.20,...</td>\n",
       "      <td>007.4,070.44,250.83,279.06,338.29,493.20,560.1...</td>\n",
       "      <td>26</td>\n",
       "      <td>{0: ['E935.8', '070.44', '338.29', '493.20', '...</td>\n",
       "      <td>{'E820-E825': 3.717914e-05, 'E850-E858': 0.003...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>{0: ['E935.8', '070.44', '338.29', '493.20', '...</td>\n",
       "      <td>270-279</td>\n",
       "      <td>{'E820-E825': 5.4491316e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>007.4, 070.44, 250.83, 279.06, 338.29, 493.20,...</td>\n",
       "      <td>007.4,070.44,250.83,279.06,338.29,493.20,560.1...</td>\n",
       "      <td>3</td>\n",
       "      <td>{0: ['E935.8', '070.44', '338.29', '493.20', '...</td>\n",
       "      <td>{'E820-E825': 3.717914e-05, 'E850-E858': 0.003...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>{0: ['E935.8', '070.44', '338.29', '493.20', '...</td>\n",
       "      <td>286</td>\n",
       "      <td>{'E820-E825': 5.4491316e-05, 'E850-E858': 0.00...</td>\n",
       "      <td>007.4, 070.44, 250.83, 279.06, 338.29, 493.20,...</td>\n",
       "      <td>007.4,070.44,250.83,279.06,338.29,493.20,560.1...</td>\n",
       "      <td>52</td>\n",
       "      <td>{0: ['E935.8', '070.44', '338.29', '493.20', '...</td>\n",
       "      <td>{'E820-E825': 3.717914e-05, 'E850-E858': 0.003...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index                                         input_base   output  \\\n",
       "0      0  {0: ['E935.8', '070.44', '338.29', '493.20', '...  030-041   \n",
       "1      1  {0: ['E935.8', '070.44', '338.29', '493.20', '...  070-079   \n",
       "2      2  {0: ['E935.8', '070.44', '338.29', '493.20', '...  249-259   \n",
       "3      3  {0: ['E935.8', '070.44', '338.29', '493.20', '...  270-279   \n",
       "4      4  {0: ['E935.8', '070.44', '338.29', '493.20', '...      286   \n",
       "\n",
       "                                    predictions_base  \\\n",
       "0  {'E820-E825': 5.4491316e-05, 'E850-E858': 0.00...   \n",
       "1  {'E820-E825': 5.4491316e-05, 'E850-E858': 0.00...   \n",
       "2  {'E820-E825': 5.4491316e-05, 'E850-E858': 0.00...   \n",
       "3  {'E820-E825': 5.4491316e-05, 'E850-E858': 0.00...   \n",
       "4  {'E820-E825': 5.4491316e-05, 'E850-E858': 0.00...   \n",
       "\n",
       "                                     input_converted  \\\n",
       "0  007.4, 070.44, 250.83, 279.06, 338.29, 493.20,...   \n",
       "1  007.4, 070.44, 250.83, 279.06, 338.29, 493.20,...   \n",
       "2  007.4, 070.44, 250.83, 279.06, 338.29, 493.20,...   \n",
       "3  007.4, 070.44, 250.83, 279.06, 338.29, 493.20,...   \n",
       "4  007.4, 070.44, 250.83, 279.06, 338.29, 493.20,...   \n",
       "\n",
       "                                              inputs  output_rank_base  \\\n",
       "0  007.4,070.44,250.83,279.06,338.29,493.20,560.1...                14   \n",
       "1  007.4,070.44,250.83,279.06,338.29,493.20,560.1...                23   \n",
       "2  007.4,070.44,250.83,279.06,338.29,493.20,560.1...                26   \n",
       "3  007.4,070.44,250.83,279.06,338.29,493.20,560.1...                 3   \n",
       "4  007.4,070.44,250.83,279.06,338.29,493.20,560.1...                52   \n",
       "\n",
       "                                          input_comp  \\\n",
       "0  {0: ['E935.8', '070.44', '338.29', '493.20', '...   \n",
       "1  {0: ['E935.8', '070.44', '338.29', '493.20', '...   \n",
       "2  {0: ['E935.8', '070.44', '338.29', '493.20', '...   \n",
       "3  {0: ['E935.8', '070.44', '338.29', '493.20', '...   \n",
       "4  {0: ['E935.8', '070.44', '338.29', '493.20', '...   \n",
       "\n",
       "                                    predictions_comp  output_rank_comp  \n",
       "0  {'E820-E825': 3.717914e-05, 'E850-E858': 0.003...                14  \n",
       "1  {'E820-E825': 3.717914e-05, 'E850-E858': 0.003...                 0  \n",
       "2  {'E820-E825': 3.717914e-05, 'E850-E858': 0.003...                 3  \n",
       "3  {'E820-E825': 3.717914e-05, 'E850-E858': 0.003...                 4  \n",
       "4  {'E820-E825': 3.717914e-05, 'E850-E858': 0.003...                40  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comparison_df = pd.merge(\n",
    "    prediction_df_base.sort_values(by=[\"input_converted\", \"inputs\", \"output\"])\n",
    "    .reset_index(drop=True)\n",
    "    .reset_index(drop=False),\n",
    "    prediction_df_comp.sort_values(by=[\"input_converted\", \"inputs\", \"output\"])\n",
    "    .reset_index(drop=True)\n",
    "    .reset_index(drop=False),\n",
    "    on=[\"index\", \"input_converted\", \"inputs\", \"output\"],\n",
    "    suffixes=(suffix_base, suffix_comp),\n",
    ")\n",
    "comparison_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "014a69d6",
   "metadata": {},
   "source": [
    "# 2 Edge comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f0d8b55",
   "metadata": {},
   "source": [
    "## 2.1 Generate edge set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a007b6e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set[Tuple[str, str]]:\n",
    "edges_base = set([(c, p) for c, ps in attention_base.items() for p in ps])\n",
    "edges_comp = set([(c, p) for c, ps in attention_comp.items() for p in ps])\n",
    "\n",
    "added_edges = edges_comp - edges_base"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bc047353",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{('455.0', '455'),\n",
       " ('E890.2', 'E890'),\n",
       " ('799.3', '799'),\n",
       " ('934.8', '930-939'),\n",
       " ('E937.9', '-1'),\n",
       " ('018.90', '018.9'),\n",
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       " ('295.32', '295.3'),\n",
       " ('376.33', '320-389'),\n",
       " ('V10.86', 'V10.8'),\n",
       " ('933.1', '930-939'),\n",
       " ('277.39', '240-279'),\n",
       " ('371.43', '320-389'),\n",
       " ('312.30', '300-316'),\n",
       " ('427.32', '390-459'),\n",
       " ('786.05', '786.0'),\n",
       " ('852.22', '-1'),\n",
       " ('793.11', '793.1'),\n",
       " ('580.9', '580-589'),\n",
       " ('V62.84', 'V01-V91'),\n",
       " ('453.87', '453.8'),\n",
       " ('992.0', '992'),\n",
       " ('455.1', '-1'),\n",
       " ('304.71', '304.7'),\n",
       " ('V16.49', 'V01-V91'),\n",
       " ('288.4', '-1'),\n",
       " ('E874.4', 'E000-E999'),\n",
       " ...}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "added_edges"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c75a275",
   "metadata": {},
   "source": [
    "## 2.2 Calculate edge comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5c6b0ad",
   "metadata": {},
   "source": [
    "### 2.2.1 Take one edge as example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "a4f12982",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>input_base</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions_base</th>\n",
       "      <th>input_converted</th>\n",
       "      <th>inputs</th>\n",
       "      <th>output_rank_base</th>\n",
       "      <th>input_comp</th>\n",
       "      <th>predictions_comp</th>\n",
       "      <th>output_rank_comp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1951</th>\n",
       "      <td>1951</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>190-199</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>25</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1952</th>\n",
       "      <td>1952</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>300-316</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>1</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1953</th>\n",
       "      <td>1953</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>340-349</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>5</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1954</th>\n",
       "      <td>1954</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>E846-E849</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>51</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1955</th>\n",
       "      <td>1955</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>E878-E879</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>31</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      index  \\\n",
       "1951   1951   \n",
       "1952   1952   \n",
       "1953   1953   \n",
       "1954   1954   \n",
       "1955   1955   \n",
       "\n",
       "                                                                                               input_base  \\\n",
       "1951  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1952  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1953  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1954  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1955  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "\n",
       "         output  \\\n",
       "1951    190-199   \n",
       "1952    300-316   \n",
       "1953    340-349   \n",
       "1954  E846-E849   \n",
       "1955  E878-E879   \n",
       "\n",
       "                                                                                         predictions_base  \\\n",
       "1951  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1952  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1953  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1954  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1955  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "\n",
       "                                                                                          input_converted  \\\n",
       "1951  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1952  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1953  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1954  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1955  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "\n",
       "                                                                                                   inputs  \\\n",
       "1951  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1952  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1953  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1954  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1955  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "\n",
       "      output_rank_base  \\\n",
       "1951                25   \n",
       "1952                 1   \n",
       "1953                 5   \n",
       "1954                51   \n",
       "1955                31   \n",
       "\n",
       "                                                                                               input_comp  \\\n",
       "1951  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1952  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1953  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1954  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1955  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "\n",
       "                                                                                         predictions_comp  \\\n",
       "1951  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1952  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1953  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1954  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1955  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "\n",
       "      output_rank_comp  \n",
       "1951                33  \n",
       "1952                 1  \n",
       "1953                15  \n",
       "1954                62  \n",
       "1955                37  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use two edges with a common node to see the difference of relevant calculation \n",
    "\n",
    "# The first one to be removed\n",
    "    # ('719.02', '710-739') refinement metric is -4.949747\n",
    "    # ('719.02', '710-719')\n",
    "\n",
    "# Another two, both not to removed    \n",
    "    # ('333.1', '320-389')\n",
    "    # ('333.1', '330-337')\n",
    "\n",
    "    \n",
    "record = []\n",
    "c = '719.02'\n",
    "p = '710-739'\n",
    "\n",
    "relevant_df_one = comparison_df[\n",
    "    comparison_df[\"inputs\"].apply(lambda x: c + \",\" in x)\n",
    "]\n",
    "relevant_df_one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "2b0489a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'719.02': '0.0058925725',\n",
       " '-1': '7.832021e-06',\n",
       " '710-739': '0.9553721',\n",
       " '710-719': '1.5992322e-05',\n",
       " '719': '0.03817658',\n",
       " '719.0': '0.00053494703'}"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edge_weight_set = attention_comp.get(c, {})\n",
    "edge_weight_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "6287db5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.9553721'"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edge_weight = edge_weight_set.get(p, -1)\n",
    "edge_weight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "924f0cc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'absolue_frequency': 1, 'relative_frequency': 3.5458100935030123e-06}"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frequency_set = train_frequency.get(c, {})\n",
    "frequency_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "abc807ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frequency = frequency_set.get(\"absolue_frequency\", 0.0)\n",
    "frequency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "f7df2ce3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>input_base</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions_base</th>\n",
       "      <th>input_converted</th>\n",
       "      <th>inputs</th>\n",
       "      <th>output_rank_base</th>\n",
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       "      <th>predictions_comp</th>\n",
       "      <th>output_rank_comp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1951</th>\n",
       "      <td>1951</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>190-199</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>25</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1952</th>\n",
       "      <td>1952</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>300-316</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>1</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1953</th>\n",
       "      <td>1953</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>340-349</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>5</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1954</th>\n",
       "      <td>1954</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>E846-E849</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>51</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1955</th>\n",
       "      <td>1955</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>E878-E879</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>31</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      index  \\\n",
       "1951   1951   \n",
       "1952   1952   \n",
       "1953   1953   \n",
       "1954   1954   \n",
       "1955   1955   \n",
       "\n",
       "                                                                                               input_base  \\\n",
       "1951  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1952  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1953  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1954  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1955  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "\n",
       "         output  \\\n",
       "1951    190-199   \n",
       "1952    300-316   \n",
       "1953    340-349   \n",
       "1954  E846-E849   \n",
       "1955  E878-E879   \n",
       "\n",
       "                                                                                         predictions_base  \\\n",
       "1951  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1952  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1953  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1954  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1955  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "\n",
       "                                                                                          input_converted  \\\n",
       "1951  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1952  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1953  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1954  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1955  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "\n",
       "                                                                                                   inputs  \\\n",
       "1951  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1952  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1953  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1954  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1955  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "\n",
       "      output_rank_base  \\\n",
       "1951                25   \n",
       "1952                 1   \n",
       "1953                 5   \n",
       "1954                51   \n",
       "1955                31   \n",
       "\n",
       "                                                                                               input_comp  \\\n",
       "1951  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1952  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1953  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1954  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1955  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "\n",
       "                                                                                         predictions_comp  \\\n",
       "1951  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1952  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1953  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1954  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1955  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "\n",
       "      output_rank_comp  \n",
       "1951                33  \n",
       "1952                 1  \n",
       "1953                15  \n",
       "1954                62  \n",
       "1955                37  "
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "relevant_df_2 = relevant_df_one[\n",
    "    relevant_df_one[\"inputs\"].apply(lambda x: c + \",\" in x)\n",
    "].copy()    \n",
    "\n",
    "if len(relevant_df_2) == 0:\n",
    "    print(\"no relevant edges\")\n",
    "\n",
    "relevant_df_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "1f7bf428",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>input_base</th>\n",
       "      <th>output</th>\n",
       "      <th>predictions_base</th>\n",
       "      <th>input_converted</th>\n",
       "      <th>inputs</th>\n",
       "      <th>output_rank_base</th>\n",
       "      <th>input_comp</th>\n",
       "      <th>predictions_comp</th>\n",
       "      <th>output_rank_comp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1951</th>\n",
       "      <td>1951</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>190-199</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>25</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1952</th>\n",
       "      <td>1952</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>300-316</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>1</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1953</th>\n",
       "      <td>1953</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>340-349</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>5</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1954</th>\n",
       "      <td>1954</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>E846-E849</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>51</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1955</th>\n",
       "      <td>1955</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>E878-E879</td>\n",
       "      <td>{'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...</td>\n",
       "      <td>038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...</td>\n",
       "      <td>038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...</td>\n",
       "      <td>31</td>\n",
       "      <td>{0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...</td>\n",
       "      <td>{'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      index  \\\n",
       "1951   1951   \n",
       "1952   1952   \n",
       "1953   1953   \n",
       "1954   1954   \n",
       "1955   1955   \n",
       "\n",
       "                                                                                               input_base  \\\n",
       "1951  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1952  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1953  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1954  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1955  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "\n",
       "         output  \\\n",
       "1951    190-199   \n",
       "1952    300-316   \n",
       "1953    340-349   \n",
       "1954  E846-E849   \n",
       "1955  E878-E879   \n",
       "\n",
       "                                                                                         predictions_base  \\\n",
       "1951  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1952  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1953  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1954  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "1955  {'E820-E825': 5.3918633e-05, 'E850-E858': 0.0012692753, '580-589': 0.017867945, '790-796': 0.011...   \n",
       "\n",
       "                                                                                          input_converted  \\\n",
       "1951  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1952  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1953  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1954  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "1955  038.9, 041.4, 191.3, 255.4, 276.5, 276.51, 285.9, 288.0, 300.00, 486, 518.0, 599.0, 682.3, 719.0...   \n",
       "\n",
       "                                                                                                   inputs  \\\n",
       "1951  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1952  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1953  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1954  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "1955  038.9,041.4,191.3,255.4,276.5,276.51,285.9,288.0,300.00,486,518.0,599.0,682.3,719.02,995.91,E849...   \n",
       "\n",
       "      output_rank_base  \\\n",
       "1951                25   \n",
       "1952                 1   \n",
       "1953                 5   \n",
       "1954                51   \n",
       "1955                31   \n",
       "\n",
       "                                                                                               input_comp  \\\n",
       "1951  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1952  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1953  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1954  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "1955  {0: ['255.4', '719.02', '276.51', '041.4', '518.0', 'E933.1', '300.00', '191.3', '038.9', '995.9...   \n",
       "\n",
       "                                                                                         predictions_comp  \\\n",
       "1951  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1952  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1953  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1954  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "1955  {'E820-E825': 1.2194883e-05, 'E850-E858': 0.00184809, '580-589': 0.020954793, '790-796': 0.01113...   \n",
       "\n",
       "      output_rank_comp  \n",
       "1951                33  \n",
       "1952                 1  \n",
       "1953                15  \n",
       "1954                62  \n",
       "1955                37  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "relevant_df_2[\"output_rank_base\"] = relevant_df_2[\"output_rank_base\"].apply(\n",
    "    lambda x: min(x, config.refinement_metric_maxrank)\n",
    ")\n",
    "relevant_df_2[\"output_rank_comp\"] = relevant_df_2[\"output_rank_comp\"].apply(\n",
    "    lambda x: min(x, config.refinement_metric_maxrank)\n",
    ")\n",
    "\n",
    "relevant_df_2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b82a580",
   "metadata": {},
   "source": [
    "#### 2.2.1.1 use mean_outlier_score as refinement metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "b9764b36",
   "metadata": {},
   "outputs": [],
   "source": [
    "if \"outlier_score\" in config.refinement_metric:\n",
    "    outlier_score = (\n",
    "        relevant_df_2[[\"output_rank_base\", \"output_rank_comp\"]]\n",
    "        .apply(lambda x: (int(x[0]) - int(x[1])) / np.sqrt(2), axis=1)\n",
    "        .to_list()\n",
    "    )    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "07b2552f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-5.65685424949238 0.0 -7.071067811865475 -7.7781745930520225 -4.242640687119285\n"
     ]
    }
   ],
   "source": [
    "print(*outlier_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "e81bd29a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-4.949747468305832"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "if \"median\" in config.refinement_metric:\n",
    "    re_metric =  np.median(outlier_score)\n",
    "elif \"mean\" in config.refinement_metric:\n",
    "    re_metric = np.mean(outlier_score)\n",
    "\n",
    "#print(\"refinement metric is\" + re_metric)\n",
    "re_metric"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "464ce8f5",
   "metadata": {},
   "source": [
    "#### 2.2.1.2 use accuracy as refinement metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "2f5cda02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[5]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# change metric setting\n",
    "#if \"accuracy\" in config.refinement_metric:\n",
    "\n",
    "config_str = \"top_5_categorical_accuracy\"\n",
    "\n",
    "accuracy_atss = [\n",
    "    int(s) for s in config_str.split(\"_\") if s.isdigit()\n",
    "]\n",
    "accuracy_atss\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "a07f07c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_ats = accuracy_atss[0] if len(accuracy_atss) > 0 else 1\n",
    "accuracy_ats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "1e40fafe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_base = len(\n",
    "    relevant_df_2[relevant_df_2[\"output_rank_base\"] < accuracy_ats]\n",
    ") / len(relevant_df_2)\n",
    "accuracy_base"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "62c17740",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_comp = len(\n",
    "    relevant_df_2[relevant_df_2[\"output_rank_comp\"] < accuracy_ats]\n",
    ") / len(relevant_df_2)\n",
    "accuracy_comp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "5ce3329d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "re_metric_2 = accuracy_comp - accuracy_base\n",
    "\n",
    "re_metric_2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "057a236b",
   "metadata": {},
   "source": [
    "#### 2.2.1.3 add removed edge to set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "631214e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'child': '719.02',\n",
       "  'parent': '710-739',\n",
       "  'refinement_metric': -4.949747468305832}]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "record.append(\n",
    "    {\n",
    "        \"child\": c,\n",
    "        \"parent\": p,\n",
    "        \"refinement_metric\": re_metric\n",
    "    }\n",
    ")\n",
    "\n",
    "record"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "78fde4ef",
   "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>child</th>\n",
       "      <th>parent</th>\n",
       "      <th>refinement_metric</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>719.02</td>\n",
       "      <td>710-739</td>\n",
       "      <td>-4.949747</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    child   parent  refinement_metric\n",
       "0  719.02  710-739          -4.949747"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edge_comparison_df =  pd.DataFrame.from_records(\n",
    "    record, columns=[\"child\", \"parent\", \"refinement_metric\"]\n",
    ")\n",
    "edge_comparison_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "0764221e",
   "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>child</th>\n",
       "      <th>parent</th>\n",
       "      <th>refinement_metric</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>719.02</td>\n",
       "      <td>710-739</td>\n",
       "      <td>-4.949747</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    child   parent  refinement_metric\n",
       "0  719.02  710-739          -4.949747"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edge_comparison_df = (\n",
    "    edge_comparison_df[\n",
    "        edge_comparison_df[\"refinement_metric\"]\n",
    "        < config.max_refinement_metric\n",
    "    ]\n",
    "    .sort_values(by=\"refinement_metric\", ascending=True)\n",
    "    .head(n=config.max_edges_to_remove)\n",
    ")\n",
    "\n",
    "edge_comparison_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fa811c3",
   "metadata": {},
   "source": [
    "### 2.2.2 Complete dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e4d57cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_refinement_metric(\n",
    "    input_feature: str, comparison_df: pd.DataFrame\n",
    ") -> float:\n",
    "    # refinement_metric > 0 -> comparison is better than base\n",
    "    relevant_df = comparison_df[\n",
    "        comparison_df[\"inputs\"].apply(lambda x: input_feature + \",\" in x)\n",
    "    ].copy()\n",
    "    \n",
    "    if len(relevant_df) == 0:\n",
    "        return -1\n",
    "    if self.config.refinement_metric_maxrank > 0:\n",
    "        relevant_df[\"output_rank_base\"] = relevant_df[\"output_rank_base\"].apply(\n",
    "            lambda x: min(x, self.config.refinement_metric_maxrank)\n",
    "        )\n",
    "        relevant_df[\"output_rank_comp\"] = relevant_df[\"output_rank_comp\"].apply(\n",
    "            lambda x: min(x, self.config.refinement_metric_maxrank)\n",
    "        )\n",
    "\n",
    "    if \"outlier_score\" in self.config.refinement_metric:\n",
    "        outlier_scores = (\n",
    "            relevant_df[[\"output_rank_base\", \"output_rank_comp\"]]\n",
    "            .apply(lambda x: (int(x[0]) - int(x[1])) / np.sqrt(2), axis=1)\n",
    "            .to_list()\n",
    "        )\n",
    "        if \"median\" in self.config.refinement_metric:\n",
    "            return np.median(outlier_scores)\n",
    "        elif \"mean\" in self.config.refinement_metric:\n",
    "            return np.mean(outlier_scores)\n",
    "    elif \"accuracy\" in self.config.refinement_metric:\n",
    "        accuracy_ats = [\n",
    "            int(s) for s in self.config.refinement_metric.split(\"_\") if s.isdigit()\n",
    "        ]\n",
    "        accuracy_at = accuracy_ats[0] if len(accuracy_ats) > 0 else 1\n",
    "        accuracy_base = len(\n",
    "            relevant_df[relevant_df[\"output_rank_base\"] < accuracy_at]\n",
    "        ) / len(relevant_df)\n",
    "        accuracy_comp = len(\n",
    "            relevant_df[relevant_df[\"output_rank_comp\"] < accuracy_at]\n",
    "        ) / len(relevant_df)\n",
    "        return accuracy_comp - accuracy_base\n",
    "\n",
    "    logging.error(\"Unknown refinement metric: %s\", self.config.refinement_metric)\n",
    "    return -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fcbcaf4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "records = []\n",
    "\n",
    "for c, p in tqdm(added_edges):    \n",
    "    if c == p:\n",
    "        continue\n",
    "\n",
    "    relevant_df = comparison_df[\n",
    "        comparison_df[\"inputs\"].apply(lambda x: c + \",\" in x)\n",
    "    ]\n",
    "        \n",
    "    if len(relevant_df) == 0:\n",
    "        continue\n",
    "\n",
    "    edge_weight = attention_comp.get(c, {}).get(p, -1)\n",
    "    if float(edge_weight) < config.min_edge_weight:\n",
    "        continue\n",
    "\n",
    "    frequency = train_frequency.get(c, {}).get(\"absolue_frequency\", 0.0)\n",
    "    if frequency > self.config.max_train_examples:\n",
    "        continue\n",
    "\n",
    "    records.append(\n",
    "        {\n",
    "            \"child\": c,\n",
    "            \"parent\": p,\n",
    "            \"refinement_metric\": calculate_refinement_metric(\n",
    "                c, relevant_df\n",
    "            ),\n",
    "        }\n",
    "    )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cdfc32b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "edge_comparison_df =  pd.DataFrame.from_records(\n",
    "    records, columns=[\"child\", \"parent\", \"refinement_metric\"]\n",
    ")\n",
    "edge_comparison_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11cea36b",
   "metadata": {},
   "outputs": [],
   "source": [
    "edge_comparison_df = (\n",
    "    edge_comparison_df[\n",
    "        edge_comparison_df[\"refinement_metric\"]\n",
    "        < config.max_refinement_metric\n",
    "    ]\n",
    "    .sort_values(by=\"refinement_metric\", ascending=True)\n",
    "    .head(n=self.config.max_edges_to_remove)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8439c126",
   "metadata": {},
   "source": [
    "# 3 Refined edges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "3bd54796",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'996.04': ['996.04'],\n",
       " '251.5': ['251.5'],\n",
       " '805.6': ['805.6'],\n",
       " 'V61.42': ['V61.42'],\n",
       " '600.10': ['600.10'],\n",
       " '482.0': ['482.0'],\n",
       " '227.0': ['227.0'],\n",
       " '718.45': ['718.45'],\n",
       " '718.56': ['718.56'],\n",
       " '626.9': ['626.9'],\n",
       " '008.41': ['008.41'],\n",
       " '800.15': ['800.15'],\n",
       " '221.8': ['221.8'],\n",
       " '761.8': ['761.8'],\n",
       " '852.40': ['852.40'],\n",
       " '153.9': ['153.9'],\n",
       " 'E927.8': ['E927.8'],\n",
       " '070.31': ['070.31'],\n",
       " '873.49': ['873.49'],\n",
       " '568.0': ['568.0'],\n",
       " '553.8': ['553.8'],\n",
       " '572.0': ['572.0'],\n",
       " 'E959': ['E959'],\n",
       " '297.9': ['297.9'],\n",
       " '873.1': ['873.1'],\n",
       " '944.25': ['944.25'],\n",
       " '958.93': ['958.93'],\n",
       " '156.9': ['156.9'],\n",
       " '227.1': ['227.1'],\n",
       " '382.01': ['382.01'],\n",
       " '442.2': ['442.2'],\n",
       " '751.7': ['751.7'],\n",
       " '942.14': ['942.14'],\n",
       " '998.31': ['998.31'],\n",
       " '459.89': ['459.89'],\n",
       " '769': ['769'],\n",
       " '369.8': ['369.8'],\n",
       " '141.8': ['141.8'],\n",
       " '596.54': ['596.54'],\n",
       " '727.43': ['727.43'],\n",
       " '825.35': ['825.35'],\n",
       " '377.41': ['377.41'],\n",
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       " '562.10': ['562.10'],\n",
       " 'E920.1': ['E920.1'],\n",
       " '900.03': ['900.03'],\n",
       " 'V50.41': ['V50.41'],\n",
       " '706.8': ['706.8'],\n",
       " '423.3': ['423.3'],\n",
       " '732.4': ['732.4'],\n",
       " 'V76.51': ['V76.51'],\n",
       " '173.3': ['173.3'],\n",
       " '041.9': ['041.9'],\n",
       " '682.1': ['682.1'],\n",
       " '278.03': ['278.03'],\n",
       " '786.06': ['786.06'],\n",
       " 'V43.63': ['V43.63'],\n",
       " '378.52': ['378.52'],\n",
       " '211.5': ['211.5'],\n",
       " '343.8': ['343.8'],\n",
       " 'V45.12': ['V45.12'],\n",
       " '348.82': ['348.82'],\n",
       " 'V10.12': ['V10.12'],\n",
       " '466.0': ['466.0'],\n",
       " '556.1': ['556.1'],\n",
       " 'E815.0': ['E815.0'],\n",
       " '724.09': ['724.09'],\n",
       " '191.2': ['191.2'],\n",
       " ...}"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "refined_knowledge = {c: [c] for c in attention_comp}\n",
    "refined_knowledge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "22d007bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'996.04': ['996.04', '996.04', '-1', '800-999', '996-999', '996', '996.0'],\n",
       " '251.5': ['251.5', '251.5', '-1', '249-259', '240-279', '251'],\n",
       " '805.6': ['805.6', '805.6', '-1', '800-999', '805-809', '805'],\n",
       " 'V61.42': ['V61.42', 'V61.42', '-1', 'V01-V91', 'V60-V69', 'V61', 'V61.4'],\n",
       " '600.10': ['600.10', '600.10', '-1', '580-629', '600-608', '600', '600.1'],\n",
       " '482.0': ['482.0', '482.0', '-1', '460-519', '480-488', '482'],\n",
       " '227.0': ['227.0', '227.0', '-1', '140-239', '210-229', '227'],\n",
       " '718.45': ['718.45', '718.45', '-1', '710-739', '710-719', '718', '718.4'],\n",
       " '718.56': ['718.56', '718.56', '-1', '710-739', '710-719', '718', '718.5'],\n",
       " '626.9': ['626.9', '626.9', '-1', '580-629', '617-629', '626'],\n",
       " '008.41': ['008.41', '008.41', '-1', '001-139', '001-009', '008', '008.4'],\n",
       " '800.15': ['800.15', '800.15', '-1', '800-999', '800-804', '800', '800.1'],\n",
       " '221.8': ['221.8', '221.8', '-1', '140-239', '210-229', '221'],\n",
       " '761.8': ['761.8', '761.8', '-1', '760-779', '760-763', '761'],\n",
       " '852.40': ['852.40', '852.40', '-1', '800-999', '852', '850-854', '852.4'],\n",
       " '153.9': ['153.9', '153.9', '-1', '140-239', '150-159', '153'],\n",
       " 'E927.8': ['E927.8', 'E927.8', 'E927', '-1', 'E000-E999', 'E916-E928'],\n",
       " '070.31': ['070.31', '070.31', '-1', '001-139', '070-079', '070', '070.3'],\n",
       " '873.49': ['873.49', '873.49', '-1', '800-999', '870-879', '873', '873.4'],\n",
       " '568.0': ['568.0', '568.0', '-1', '520-579', '560-569', '568'],\n",
       " '553.8': ['553.8', '553.8', '-1', '520-579', '550-553', '553'],\n",
       " '572.0': ['572.0', '572.0', '-1', '520-579', '570-579', '572'],\n",
       " 'E959': ['E959', 'E959', '-1', 'E000-E999', 'E950-E959'],\n",
       " '297.9': ['297.9', '297.9', '-1', '290-319', '295-299', '297'],\n",
       " '873.1': ['873.1', '873.1', '-1', '800-999', '870-879', '873'],\n",
       " '944.25': ['944.25', '944.25', '-1', '800-999', '940-949', '944.2', '944'],\n",
       " '958.93': ['958.93', '958.93', '-1', '800-999', '958-959', '958', '958.9'],\n",
       " '156.9': ['156.9', '156.9', '-1', '140-239', '150-159', '156'],\n",
       " '227.1': ['227.1', '227.1', '-1', '140-239', '210-229', '227'],\n",
       " '382.01': ['382.01', '382.01', '-1', '320-389', '380-389', '382', '382.0'],\n",
       " '442.2': ['442.2', '442.2', '-1', '390-459', '440-449', '442'],\n",
       " '751.7': ['751.7', '751.7', '-1', '740-759', '751'],\n",
       " '942.14': ['942.14', '942.14', '-1', '800-999', '940-949', '942', '942.1'],\n",
       " '998.31': ['998.31', '998.31', '998.3', '-1', '800-999', '996-999', '998'],\n",
       " '459.89': ['459.89', '459.89', '-1', '390-459', '451-459', '459', '459.8'],\n",
       " '769': ['769', '769', '-1', '764-779', '760-779'],\n",
       " '369.8': ['369.8', '369.8', '-1', '320-389', '360-379', '369'],\n",
       " '141.8': ['141.8', '141.8', '-1', '140-239', '140-149', '141'],\n",
       " '596.54': ['596.54', '596.54', '-1', '580-629', '590-599', '596', '596.5'],\n",
       " '727.43': ['727.43', '727.43', '-1', '710-739', '725-729', '727.4', '727'],\n",
       " '825.35': ['825.35', '825.35', '-1', '800-999', '820-829', '825', '825.3'],\n",
       " '377.41': ['377.41', '377.41', '-1', '320-389', '360-379', '377', '377.4'],\n",
       " '378.54': ['378.54', '378.54', '-1', '320-389', '360-379', '378', '378.5'],\n",
       " '309.28': ['309.28', '309.28', '-1', '300-316', '290-319', '309', '309.2'],\n",
       " '770.9': ['770.9', '770.9', '-1', '764-779', '760-779', '770'],\n",
       " 'E870.2': ['E870.2', 'E870.2', '-1', 'E000-E999', 'E870', 'E870-E876'],\n",
       " '449': ['449', '449', '-1', '390-459', '440-449'],\n",
       " 'V45.87': ['V45.87', 'V45.87', '-1', 'V01-V91', 'V40-V49', 'V45', 'V45.8'],\n",
       " '919.0': ['919.0', '919.0', '-1', '800-999', '910-919', '919'],\n",
       " '307.51': ['307.51', '307.51', '-1', '300-316', '290-319', '307', '307.5'],\n",
       " '868.09': ['868.09', '868.09', '-1', '800-999', '860-869', '868.0', '868'],\n",
       " '724.4': ['724.4', '724.4', '-1', '710-739', '720-724', '724'],\n",
       " '963.0': ['963.0', '963.0', '-1', '800-999', '960-979', '963'],\n",
       " 'V17.4': ['V17.4', 'V17.4', '-1', 'V01-V91', 'V10-V19', 'V17'],\n",
       " '236.91': ['236.91', '236.91', '-1', '140-239', '235-238', '236', '236.9'],\n",
       " '807.03': ['807.03', '807.03', '-1', '800-999', '805-809', '807', '807.0'],\n",
       " '813.08': ['813.08', '813.08', '-1', '800-999', '813', '810-819', '813.0'],\n",
       " '389.00': ['389.00', '389.00', '-1', '320-389', '380-389', '389', '389.0'],\n",
       " '200.50': ['200.50', '200.50', '-1', '140-239', '200-209', '200', '200.5'],\n",
       " 'E825.7': ['E825.7', 'E825.7', '-1', 'E000-E999', 'E820-E825', 'E825'],\n",
       " '747.83': ['747.83', '747.83', '-1', '740-759', '747', '747.8'],\n",
       " '607.2': ['607.2', '607.2', '-1', '580-629', '600-608', '607'],\n",
       " '196.9': ['196.9', '196.9', '-1', '140-239', '190-199', '196'],\n",
       " '799.89': ['799.89', '799.89', '-1', '780-799', '799', '797-799', '799.8'],\n",
       " '433.01': ['433.01', '433.01', '-1', '390-459', '430-438', '433', '433.0'],\n",
       " '428.33': ['428.33', '428.33', '-1', '390-459', '420-429', '428', '428.3'],\n",
       " '599.84': ['599.84', '599.84', '-1', '580-629', '590-599', '599', '599.8'],\n",
       " '518.82': ['518.82', '518.82', '-1', '460-519', '510-519', '518', '518.8'],\n",
       " '288.4': ['288.4', '288.4', '-1', '280-289', '288'],\n",
       " '802.28': ['802.28', '802.28', '-1', '800-999', '800-804', '802', '802.2'],\n",
       " '357.89': ['357.89', '357.89', '-1', '320-389', '350-359', '357', '357.8'],\n",
       " 'E813.2': ['E813.2', 'E813.2', '-1', 'E000-E999', 'E810-E819', 'E813'],\n",
       " 'E917.3': ['E917.3', 'E917.3', '-1', 'E000-E999', 'E916-E928', 'E917'],\n",
       " '770.89': ['770.89', '770.89', '770.8', '-1', '764-779', '760-779', '770'],\n",
       " '352.2': ['352.2', '352.2', '-1', '320-389', '350-359', '352'],\n",
       " '135': ['135', '135', '-1', '001-139', '130-136'],\n",
       " '414.04': ['414.04', '414.04', '-1', '390-459', '410-414', '414', '414.0'],\n",
       " '814.18': ['814.18', '814.18', '-1', '800-999', '810-819', '814', '814.1'],\n",
       " '204.01': ['204.01', '204.01', '-1', '140-239', '200-209', '204', '204.0'],\n",
       " '997.01': ['997.01', '997.01', '-1', '800-999', '996-999', '997', '997.0'],\n",
       " '864.04': ['864.04', '864.04', '-1', '800-999', '860-869', '864', '864.0'],\n",
       " '707.20': ['707.20', '707.20', '-1', '680-709', '700-709', '707', '707.2'],\n",
       " 'V10.90': ['V10.90', 'V10.90', 'V10.9', '-1', 'V01-V91', 'V10-V19', 'V10'],\n",
       " '255.4': ['255.4', '255.4', '-1', '249-259', '240-279', '255'],\n",
       " '873.30': ['873.30', '873.30', '-1', '800-999', '870-879', '873', '873.3'],\n",
       " '446.0': ['446.0', '446.0', '-1', '390-459', '440-449', '446'],\n",
       " 'V12.09': ['V12.09', 'V12.09', '-1', 'V01-V91', 'V10-V19', 'V12', 'V12.0'],\n",
       " 'E854.2': ['E854.2', 'E854.2', '-1', 'E000-E999', 'E850-E858', 'E854'],\n",
       " '571.0': ['571.0', '571.0', '-1', '520-579', '570-579', '571'],\n",
       " '214.3': ['214.3', '214.3', '-1', '140-239', '210-229', '214'],\n",
       " '801.26': ['801.26', '801.26', '-1', '800-999', '800-804', '801', '801.2'],\n",
       " '601.0': ['601.0', '601.0', '-1', '580-629', '600-608', '601'],\n",
       " 'V02.52': ['V02.52', 'V02.52', '-1', 'V01-V91', 'V01-V09', 'V02.5', 'V02'],\n",
       " '326': ['326', '326', '-1', '320-389', '320-327'],\n",
       " '173.4': ['173.4', '173.4', '-1', '140-239', '170-176', '173'],\n",
       " '552.02': ['552.02', '552.02', '-1', '520-579', '550-553', '552', '552.0'],\n",
       " 'V85.23': ['V85.23', 'V85.23', '-1', 'V01-V91', 'V85', 'V85-V85', 'V85.2'],\n",
       " '969.3': ['969.3', '969.3', '-1', '800-999', '960-979', '969'],\n",
       " '473.2': ['473.2', '473.2', '-1', '460-519', '470-478', '473'],\n",
       " '402.01': ['402.01', '402.01', '-1', '390-459', '401-405', '402', '402.0'],\n",
       " '997.79': ['997.79', '997.79', '-1', '800-999', '996-999', '997', '997.7'],\n",
       " '861.02': ['861.02', '861.02', '-1', '800-999', '860-869', '861', '861.0'],\n",
       " '170.0': ['170.0', '170.0', '-1', '140-239', '170-176', '170'],\n",
       " '342.91': ['342.91', '342.91', '-1', '320-389', '340-349', '342', '342.9'],\n",
       " '821.30': ['821.30', '821.30', '-1', '800-999', '820-829', '821', '821.3'],\n",
       " '331.9': ['331.9', '331.9', '-1', '320-389', '330-337', '331'],\n",
       " '995.63': ['995.63', '995.63', '-1', '800-999', '995', '990-995', '995.6'],\n",
       " '195.3': ['195.3', '195.3', '-1', '140-239', '190-199', '195'],\n",
       " '288.8': ['288.8', '288.8', '-1', '280-289', '288'],\n",
       " '451.83': ['451.83', '451.83', '-1', '390-459', '451-459', '451', '451.8'],\n",
       " 'E938.2': ['E938.2', 'E938.2', '-1', 'E000-E999', 'E930-E949', 'E938'],\n",
       " '275.1': ['275.1', '275.1', '-1', '240-279', '270-279', '275'],\n",
       " '714.81': ['714.81', '714.81', '-1', '710-739', '710-719', '714', '714.8'],\n",
       " '552.3': ['552.3', '552.3', '-1', '520-579', '550-553', '552'],\n",
       " '140.9': ['140.9', '140.9', '-1', '140-239', '140-149', '140'],\n",
       " '360.02': ['360.02', '360.02', '-1', '320-389', '360-379', '360.0', '360'],\n",
       " '434.00': ['434.00', '434.00', '-1', '390-459', '430-438', '434', '434.0'],\n",
       " 'V49.75': ['V49.75', 'V49.75', '-1', 'V01-V91', 'V40-V49', 'V49', 'V49.7'],\n",
       " '779.81': ['779.81', '779.81', '779.8', '-1', '764-779', '760-779', '779'],\n",
       " '851.46': ['851.46', '851.46', '-1', '800-999', '850-854', '851', '851.4'],\n",
       " '373.13': ['373.13', '373.13', '-1', '320-389', '360-379', '373', '373.1'],\n",
       " '780.61': ['780.61', '780.61', '780.6', '-1', '780-789', '780-799', '780'],\n",
       " '304.83': ['304.83', '304.83', '-1', '300-316', '290-319', '304', '304.8'],\n",
       " '198.3': ['198.3', '198.3', '-1', '140-239', '190-199', '198'],\n",
       " '987.8': ['987.8', '987.8', '-1', '800-999', '980-989', '987'],\n",
       " '987.9': ['987.9', '987.9', '-1', '800-999', '980-989', '987'],\n",
       " '518.81': ['518.81', '518.81', '-1', '460-519', '510-519', '518', '518.8'],\n",
       " 'E879.8': ['E879.8', 'E879.8', '-1', 'E000-E999', 'E878-E879', 'E879'],\n",
       " '523.10': ['523.10', '523.10', '-1', '520-579', '520-529', '523', '523.1'],\n",
       " '284.2': ['284.2', '284.2', '-1', '280-289', '284'],\n",
       " '752.51': ['752.51', '752.51', '-1', '740-759', '752', '752.5'],\n",
       " '341.9': ['341.9', '341.9', '-1', '320-389', '340-349', '341'],\n",
       " '715.36': ['715.36', '715.36', '-1', '710-739', '710-719', '715', '715.3'],\n",
       " '582.89': ['582.89', '582.89', '-1', '580-629', '580-589', '582', '582.8'],\n",
       " '799.2': ['799.2', '799.2', '-1', '780-799', '799', '797-799'],\n",
       " '618.82': ['618.82', '618.82', '618.8', '-1', '580-629', '617-629', '618'],\n",
       " 'E881.0': ['E881.0', 'E881.0', '-1', 'E000-E999', 'E880-E888', 'E881'],\n",
       " '333.92': ['333.92', '333.92', '-1', '320-389', '333', '330-337', '333.9'],\n",
       " '362.03': ['362.03', '362.03', '-1', '320-389', '360-379', '362', '362.0'],\n",
       " '171.3': ['171.3', '171.3', '-1', '140-239', '170-176', '171'],\n",
       " '751.1': ['751.1', '751.1', '-1', '740-759', '751'],\n",
       " '454.8': ['454.8', '454.8', '-1', '390-459', '451-459', '454'],\n",
       " '306.8': ['306.8', '306.8', '-1', '300-316', '290-319', '306'],\n",
       " '414.05': ['414.05', '414.05', '-1', '390-459', '410-414', '414', '414.0'],\n",
       " '244.3': ['244.3', '244.3', '-1', '240-279', '240-246', '244'],\n",
       " '944.26': ['944.26', '944.26', '-1', '800-999', '940-949', '944.2', '944'],\n",
       " '789.39': ['789.39', '789.39', '-1', '780-789', '780-799', '789', '789.3'],\n",
       " '719.40': ['719.40', '719.40', '-1', '710-739', '710-719', '719', '719.4'],\n",
       " '146.3': ['146.3', '146.3', '-1', '140-239', '140-149', '146'],\n",
       " 'V58.62': ['V58.62', 'V58.62', '-1', 'V01-V91', 'V50-V59', 'V58', 'V58.6'],\n",
       " '802.6': ['802.6', '802.6', '-1', '800-999', '800-804', '802'],\n",
       " '410.12': ['410.12', '410.12', '-1', '390-459', '410-414', '410', '410.1'],\n",
       " '459.9': ['459.9', '459.9', '-1', '390-459', '451-459', '459'],\n",
       " '710.4': ['710.4', '710.4', '-1', '710-739', '710-719', '710'],\n",
       " '733.96': ['733.96', '733.96', '-1', '710-739', '730-739', '733', '733.9'],\n",
       " '535.61': ['535.61', '535.61', '-1', '520-579', '530-539', '535', '535.6'],\n",
       " 'V17.1': ['V17.1', 'V17.1', '-1', 'V01-V91', 'V10-V19', 'V17'],\n",
       " 'V53.99': ['V53.99', 'V53.99', '-1', 'V01-V91', 'V50-V59', 'V53', 'V53.9'],\n",
       " '446.21': ['446.21', '446.21', '-1', '390-459', '440-449', '446', '446.2'],\n",
       " '528.6': ['528.6', '528.6', '-1', '520-579', '520-529', '528'],\n",
       " '596.0': ['596.0', '596.0', '-1', '580-629', '590-599', '596'],\n",
       " '274.00': ['274.00', '274.00', '274.0', '-1', '240-279', '270-279', '274'],\n",
       " '593.2': ['593.2', '593.2', '-1', '580-629', '590-599', '593'],\n",
       " '707.13': ['707.13', '707.13', '-1', '680-709', '700-709', '707', '707.1'],\n",
       " '255.0': ['255.0', '255.0', '-1', '249-259', '240-279', '255'],\n",
       " '238.76': ['238.76', '238.76', '238.7', '-1', '140-239', '235-238', '238'],\n",
       " '969.1': ['969.1', '969.1', '-1', '800-999', '960-979', '969'],\n",
       " '995.3': ['995.3', '995.3', '-1', '800-999', '995', '990-995'],\n",
       " '722.90': ['722.90', '722.90', '-1', '710-739', '720-724', '722', '722.9'],\n",
       " '812.09': ['812.09', '812.09', '-1', '800-999', '810-819', '812', '812.0'],\n",
       " '285.3': ['285.3', '285.3', '-1', '280-289', '285'],\n",
       " '197.7': ['197.7', '197.7', '-1', '140-239', '190-199', '197'],\n",
       " '798.1': ['798.1', '798.1', '-1', '780-799', '797-799', '798'],\n",
       " '751.60': ['751.60', '751.60', '-1', '740-759', '751', '751.6'],\n",
       " '270.0': ['270.0', '270.0', '-1', '240-279', '270-279', '270'],\n",
       " 'V31.01': ['V31.01', 'V31.01', '-1', 'V01-V91', 'V31.0', 'V31', 'V30-V39'],\n",
       " 'E876.4': ['E876.4', 'E876.4', '-1', 'E000-E999', 'E870-E876', 'E876'],\n",
       " 'V54.10': ['V54.10', 'V54.10', '-1', 'V01-V91', 'V50-V59', 'V54', 'V54.1'],\n",
       " 'V15.08': ['V15.08', 'V15.08', '-1', 'V01-V91', 'V10-V19', 'V15', 'V15.0'],\n",
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       " 'E947.8': ['E947.8', 'E947.8', '-1', 'E000-E999', 'E930-E949', 'E947'],\n",
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       " '783.7': ['783.7', '783.7', '-1', '780-789', '780-799', '783'],\n",
       " '711.03': ['711.03', '711.03', '-1', '710-739', '710-719', '711.0', '711'],\n",
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       " 'E957.1': ['E957.1', 'E957.1', '-1', 'E000-E999', 'E950-E959', 'E957'],\n",
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       " 'E929.4': ['E929.4', 'E929.4', '-1', 'E000-E999', 'E929', 'E929-E929'],\n",
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       " '428.30': ['428.30', '428.30', '-1', '390-459', '420-429', '428', '428.3'],\n",
       " '863.0': ['863.0', '863.0', '-1', '800-999', '863', '860-869'],\n",
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       " '284.11': ['284.11', '284.11', '284.1', '-1', '280-289', '284'],\n",
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       " 'E819.9': ['E819.9', 'E819.9', '-1', 'E000-E999', 'E810-E819', 'E819'],\n",
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       " '289.81': ['289.81', '289.81', '289.8', '-1', '280-289', '289'],\n",
       " 'E953.0': ['E953.0', 'E953.0', '-1', 'E000-E999', 'E950-E959', 'E953'],\n",
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       " '209.79': ['209.79', '209.79', '-1', '140-239', '200-209', '209', '209.7'],\n",
       " '881.11': ['881.11', '881.11', '-1', '800-999', '880-887', '881', '881.1'],\n",
       " '721.90': ['721.90', '721.90', '-1', '710-739', '720-724', '721', '721.9'],\n",
       " 'V53.6': ['V53.6', 'V53.6', '-1', 'V01-V91', 'V50-V59', 'V53'],\n",
       " '924.11': ['924.11', '924.11', '-1', '800-999', '920-924', '924', '924.1'],\n",
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       " 'V17.5': ['V17.5', 'V17.5', '-1', 'V01-V91', 'V10-V19', 'V17'],\n",
       " 'V29.0': ['V29.0', 'V29.0', '-1', 'V01-V91', 'V20-V29', 'V29'],\n",
       " '726.12': ['726.12', '726.12', '-1', '710-739', '726', '725-729', '726.1'],\n",
       " 'V10.91': ['V10.91', 'V10.91', 'V10.9', '-1', 'V01-V91', 'V10-V19', 'V10'],\n",
       " '735.5': ['735.5', '735.5', '-1', '710-739', '730-739', '735'],\n",
       " '996.2': ['996.2', '996.2', '-1', '800-999', '996-999', '996'],\n",
       " '789.1': ['789.1', '789.1', '-1', '780-789', '780-799', '789'],\n",
       " '733.5': ['733.5', '733.5', '-1', '710-739', '730-739', '733'],\n",
       " '787.21': ['787.21', '787.21', '787.2', '-1', '780-789', '780-799', '787'],\n",
       " 'V08': ['V08', 'V08', '-1', 'V01-V91', 'V01-V09'],\n",
       " '625.8': ['625.8', '625.8', '-1', '580-629', '617-629', '625'],\n",
       " '438.83': ['438.83', '438.83', '-1', '390-459', '430-438', '438', '438.8'],\n",
       " '226': ['226', '226', '-1', '140-239', '210-229'],\n",
       " '344.61': ['344.61', '344.61', '-1', '320-389', '340-349', '344', '344.6'],\n",
       " '783.6': ['783.6', '783.6', '-1', '780-789', '780-799', '783'],\n",
       " 'E899': ['E899', 'E899', '-1', 'E000-E999', 'E890-E899'],\n",
       " '738.3': ['738.3', '738.3', '-1', '710-739', '730-739', '738'],\n",
       " '969.71': ['969.71', '969.71', '969.7', '-1', '800-999', '960-979', '969'],\n",
       " '438.11': ['438.11', '438.11', '-1', '390-459', '430-438', '438', '438.1'],\n",
       " 'E884.3': ['E884.3', 'E884.3', '-1', 'E000-E999', 'E880-E888', 'E884'],\n",
       " '793.1': ['793.1', '793.1', '-1', '780-799', '790-796', '793'],\n",
       " '276.51': ['276.51', '276.51', '276.5', '-1', '240-279', '270-279', '276'],\n",
       " '536.42': ['536.42', '536.42', '-1', '520-579', '530-539', '536', '536.4'],\n",
       " '812.31': ['812.31', '812.31', '-1', '800-999', '810-819', '812', '812.3'],\n",
       " '279.49': ['279.49', '279.49', '279.4', '-1', '240-279', '279', '270-279'],\n",
       " '905.1': ['905.1', '905.1', '-1', '800-999', '905-909', '905'],\n",
       " '790.99': ['790.99', '790.99', '-1', '780-799', '790-796', '790', '790.9'],\n",
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       " '852.56': ['852.56', '852.56', '-1', '800-999', '852', '850-854', '852.5'],\n",
       " '304.73': ['304.73', '304.73', '-1', '300-316', '290-319', '304', '304.7'],\n",
       " 'E968.2': ['E968.2', 'E968.2', '-1', 'E000-E999', 'E960-E969', 'E968'],\n",
       " '807.07': ['807.07', '807.07', '-1', '800-999', '805-809', '807', '807.0'],\n",
       " '189.0': ['189.0', '189.0', '-1', '140-239', '179-189', '189'],\n",
       " '295.60': ['295.60', '295.60', '-1', '290-319', '295-299', '295', '295.6'],\n",
       " '300.12': ['300.12', '300.12', '-1', '300-316', '290-319', '300', '300.1'],\n",
       " '273.1': ['273.1', '273.1', '-1', '240-279', '270-279', '273'],\n",
       " '765.04': ['765.04', '765.04', '-1', '764-779', '760-779', '765', '765.0'],\n",
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       " '790.6': ['790.6', '790.6', '-1', '780-799', '790-796', '790'],\n",
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       " 'V15.59': ['V15.59', 'V15.59', '-1', 'V01-V91', 'V10-V19', 'V15', 'V15.5'],\n",
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       " '774.39': ['774.39', '774.39', '-1', '764-779', '760-779', '774', '774.3'],\n",
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       " '569.42': ['569.42', '569.42', '-1', '520-579', '560-569', '569', '569.4'],\n",
       " '162.9': ['162.9', '162.9', '-1', '140-239', '160-165', '162'],\n",
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       " 'E930.3': ['E930.3', 'E930.3', '-1', 'E000-E999', 'E930-E949', 'E930'],\n",
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       " '572.8': ['572.8', '572.8', '-1', '520-579', '570-579', '572'],\n",
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       " 'E928.9': ['E928.9', 'E928.9', '-1', 'E000-E999', 'E916-E928', 'E928'],\n",
       " '742.3': ['742.3', '742.3', '-1', '740-759', '742'],\n",
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       " 'V02.3': ['V02.3', 'V02.3', '-1', 'V01-V91', 'V01-V09', 'V02'],\n",
       " 'E935.8': ['E935.8', 'E935.8', '-1', 'E000-E999', 'E930-E949', 'E935'],\n",
       " '616.4': ['616.4', '616.4', '-1', '580-629', '616', '614-616'],\n",
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       " '410.82': ['410.82', '410.82', '-1', '390-459', '410-414', '410', '410.8'],\n",
       " '242.91': ['242.91', '242.91', '-1', '240-279', '240-246', '242', '242.9'],\n",
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       " 'E819.0': ['E819.0', 'E819.0', '-1', 'E000-E999', 'E810-E819', 'E819'],\n",
       " '342.10': ['342.10', '342.10', '-1', '320-389', '340-349', '342', '342.1'],\n",
       " '806.04': ['806.04', '806.04', '-1', '800-999', '805-809', '806', '806.0'],\n",
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       " '788.65': ['788.65', '788.65', '-1', '780-789', '780-799', '788', '788.6'],\n",
       " '301.9': ['301.9', '301.9', '-1', '300-316', '290-319', '301'],\n",
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       " '200.23': ['200.23', '200.23', '-1', '140-239', '200-209', '200', '200.2'],\n",
       " '824.4': ['824.4', '824.4', '-1', '800-999', '820-829', '824'],\n",
       " '770.8': ['770.8', '770.8', '-1', '764-779', '760-779', '770'],\n",
       " '617.9': ['617.9', '617.9', '-1', '580-629', '617-629', '617'],\n",
       " '969.8': ['969.8', '969.8', '-1', '800-999', '960-979', '969'],\n",
       " '807.04': ['807.04', '807.04', '-1', '800-999', '805-809', '807', '807.0'],\n",
       " '599.60': ['599.60', '599.60', '599.6', '-1', '580-629', '590-599', '599'],\n",
       " 'V16.0': ['V16.0', 'V16.0', '-1', 'V01-V91', 'V10-V19', 'V16'],\n",
       " '311': ['311', '311', '-1', '300-316', '290-319'],\n",
       " '383.00': ['383.00', '383.00', '-1', '320-389', '380-389', '383', '383.0'],\n",
       " '786.51': ['786.51', '786.51', '-1', '780-789', '780-799', '786', '786.5'],\n",
       " '130.9': ['130.9', '130.9', '-1', '001-139', '130-136', '130'],\n",
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       " '300.3': ['300.3', '300.3', '-1', '300-316', '290-319', '300'],\n",
       " '834.02': ['834.02', '834.02', '-1', '800-999', '830-839', '834.0', '834'],\n",
       " '053.13': ['053.13', '053.13', '-1', '001-139', '050-059', '053', '053.1'],\n",
       " '748.2': ['748.2', '748.2', '-1', '740-759', '748'],\n",
       " '410.91': ['410.91', '410.91', '-1', '390-459', '410-414', '410', '410.9'],\n",
       " 'E865.4': ['E865.4', 'E865.4', '-1', 'E000-E999', 'E860-E869', 'E865'],\n",
       " '403.91': ['403.91', '403.91', '-1', '390-459', '401-405', '403', '403.9'],\n",
       " '228.01': ['228.01', '228.01', '-1', '140-239', '210-229', '228.0', '228'],\n",
       " '378.50': ['378.50', '378.50', '-1', '320-389', '360-379', '378', '378.5'],\n",
       " '041.4': ['041.4', '041.4', '-1', '001-139', '041', '030-041'],\n",
       " 'E851': ['E851', 'E851', '-1', 'E000-E999', 'E850-E858'],\n",
       " '736.6': ['736.6', '736.6', '-1', '710-739', '730-739', '736'],\n",
       " '806.01': ['806.01', '806.01', '-1', '800-999', '805-809', '806', '806.0'],\n",
       " '803.11': ['803.11', '803.11', '-1', '800-999', '800-804', '803', '803.1'],\n",
       " '518.53': ['518.53', '518.53', '518.5', '-1', '460-519', '510-519', '518'],\n",
       " '873.64': ['873.64', '873.64', '-1', '800-999', '870-879', '873', '873.6'],\n",
       " 'V10.89': ['V10.89', 'V10.89', '-1', 'V01-V91', 'V10-V19', 'V10', 'V10.8'],\n",
       " '345.70': ['345.70', '345.70', '-1', '320-389', '340-349', '345', '345.7'],\n",
       " '295.70': ['295.70', '295.70', '-1', '290-319', '295-299', '295', '295.7'],\n",
       " '724.2': ['724.2', '724.2', '-1', '710-739', '720-724', '724'],\n",
       " '682.7': ['682.7', '682.7', '-1', '680-709', '680-686', '682'],\n",
       " '208.90': ['208.90', '208.90', '-1', '140-239', '200-209', '208', '208.9'],\n",
       " '210.1': ['210.1', '210.1', '-1', '140-239', '210-229', '210'],\n",
       " 'E823.0': ['E823.0', 'E823.0', '-1', 'E000-E999', 'E820-E825', 'E823'],\n",
       " '629.89': ['629.89', '629.89', '-1', '580-629', '617-629', '629.8', '629'],\n",
       " 'V85.33': ['V85.33', 'V85.33', '-1', 'V01-V91', 'V85.3', 'V85', 'V85-V85'],\n",
       " '534.40': ['534.40', '534.40', '-1', '520-579', '530-539', '534', '534.4'],\n",
       " 'E860.0': ['E860.0', 'E860.0', '-1', 'E000-E999', 'E860-E869', 'E860'],\n",
       " '070.44': ['070.44', '070.44', '-1', '001-139', '070-079', '070', '070.4'],\n",
       " '793.11': ['793.11', '793.1', '793.11', '-1', '780-799', '790-796', '793'],\n",
       " '518.0': ['518.0', '518.0', '-1', '460-519', '510-519', '518'],\n",
       " '453.75': ['453.75', '453.75', '-1', '390-459', '451-459', '453', '453.7'],\n",
       " '157.3': ['157.3', '157.3', '-1', '140-239', '150-159', '157'],\n",
       " '792.1': ['792.1', '792.1', '-1', '780-799', '790-796', '792'],\n",
       " '235.2': ['235.2', '235.2', '-1', '140-239', '235-238', '235'],\n",
       " '442.1': ['442.1', '442.1', '-1', '390-459', '440-449', '442'],\n",
       " '438.50': ['438.50', '438.50', '-1', '390-459', '430-438', '438', '438.5'],\n",
       " '801.11': ['801.11', '801.11', '-1', '800-999', '800-804', '801', '801.1'],\n",
       " '507.8': ['507.8', '507.8', '-1', '460-519', '500-508', '507'],\n",
       " '553.21': ['553.21', '553.21', '-1', '520-579', '550-553', '553', '553.2'],\n",
       " 'V42.7': ['V42.7', 'V42.7', '-1', 'V01-V91', 'V40-V49', 'V42'],\n",
       " 'E935.7': ['E935.7', 'E935.7', '-1', 'E000-E999', 'E930-E949', 'E935'],\n",
       " '536.3': ['536.3', '536.3', '-1', '520-579', '530-539', '536'],\n",
       " '669.32': ['669.32', '669.32', '-1', '630-679', '660-669', '669.3', '669'],\n",
       " '440.21': ['440.21', '440.21', '-1', '390-459', '440-449', '440', '440.2'],\n",
       " '716.80': ['716.80', '716.80', '-1', '710-739', '710-719', '716', '716.8'],\n",
       " '801.44': ['801.44', '801.44', '-1', '800-999', '800-804', '801', '801.4'],\n",
       " '729.92': ['729.92', '729.92', '729.9', '-1', '710-739', '725-729', '729'],\n",
       " '759.81': ['759.81', '759.81', '-1', '740-759', '759', '759.8'],\n",
       " '760.72': ['760.72', '760.72', '-1', '760-779', '760-763', '760.7', '760'],\n",
       " '255.10': ['255.10', '255.10', '-1', '249-259', '240-279', '255', '255.1'],\n",
       " '250.93': ['250.93', '250.93', '-1', '249-259', '240-279', '250', '250.9'],\n",
       " '278.00': ['278.00', '278.00', '-1', '240-279', '270-279', '278.0', '278'],\n",
       " '304.31': ['304.31', '304.31', '-1', '300-316', '290-319', '304', '304.3'],\n",
       " '599.72': ['599.72', '599.7', '599.72', '-1', '580-629', '590-599', '599'],\n",
       " '595.82': ['595.82', '595.82', '-1', '580-629', '590-599', '595', '595.8'],\n",
       " '952.06': ['952.06', '952.06', '-1', '800-999', '950-957', '952', '952.0'],\n",
       " '683': ['683', '683', '-1', '680-709', '680-686'],\n",
       " '707.07': ['707.07', '707.07', '707.0', '-1', '680-709', '700-709', '707'],\n",
       " '562.12': ['562.12', '562.12', '-1', '520-579', '560-569', '562.1', '562'],\n",
       " '396.8': ['396.8', '396.8', '-1', '390-459', '393-398', '396'],\n",
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       " '514': ['514', '514', '-1', '460-519', '510-519'],\n",
       " '863.50': ['863.50', '863.50', '-1', '800-999', '863', '860-869', '863.5'],\n",
       " '998.13': ['998.13', '998.13', '-1', '800-999', '996-999', '998', '998.1'],\n",
       " '093.1': ['093.1', '093.1', '-1', '001-139', '090-099', '093'],\n",
       " '355.8': ['355.8', '355.8', '-1', '320-389', '350-359', '355'],\n",
       " '250.10': ['250.10', '250.10', '-1', '249-259', '240-279', '250', '250.1'],\n",
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       " '831.04': ['831.04', '831.04', '-1', '800-999', '830-839', '831.0', '831'],\n",
       " '153.0': ['153.0', '153.0', '-1', '140-239', '150-159', '153'],\n",
       " '284.8': ['284.8', '284.8', '-1', '280-289', '284'],\n",
       " '682.8': ['682.8', '682.8', '-1', '680-709', '680-686', '682'],\n",
       " '774.2': ['774.2', '774.2', '-1', '764-779', '760-779', '774'],\n",
       " '334.1': ['334.1', '334.1', '-1', '320-389', '330-337', '334'],\n",
       " '451.0': ['451.0', '451.0', '-1', '390-459', '451-459', '451'],\n",
       " '780.39': ['780.39', '780.39', '-1', '780-789', '780-799', '780', '780.3'],\n",
       " '288.66': ['288.66', '288.66', '-1', '280-289', '288.6', '288'],\n",
       " '361.05': ['361.05', '361.05', '-1', '320-389', '360-379', '361', '361.0'],\n",
       " '920': ['920', '920', '-1', '800-999', '920-924'],\n",
       " '753.22': ['753.22', '753.22', '-1', '740-759', '753', '753.2'],\n",
       " '188.9': ['188.9', '188.9', '-1', '140-239', '179-189', '188'],\n",
       " '442.81': ['442.81', '442.81', '-1', '390-459', '440-449', '442.8', '442'],\n",
       " 'V10.47': ['V10.47', 'V10.47', '-1', 'V01-V91', 'V10-V19', 'V10', 'V10.4'],\n",
       " '079.99': ['079.99', '079.99', '-1', '001-139', '070-079', '079', '079.9'],\n",
       " '786.02': ['786.02', '786.02', '-1', '780-789', '780-799', '786', '786.0'],\n",
       " '872.00': ['872.00', '872.00', '-1', '800-999', '870-879', '872.0', '872'],\n",
       " '333.1': ['333.1', '333.1', '-1', '320-389', '333', '330-337'],\n",
       " '614.5': ['614.5', '614.5', '-1', '580-629', '614-616', '614'],\n",
       " '161.3': ['161.3', '161.3', '-1', '140-239', '160-165', '161'],\n",
       " '648.04': ['648.04', '648.04', '-1', '630-679', '648', '640-649', '648.0'],\n",
       " '250.51': ['250.51', '250.51', '-1', '249-259', '240-279', '250', '250.5'],\n",
       " '333.99': ['333.99', '333.99', '-1', '320-389', '333', '330-337', '333.9'],\n",
       " '996.71': ['996.71', '996.71', '-1', '800-999', '996-999', '996', '996.7'],\n",
       " '278.1': ['278.1', '278.1', '-1', '240-279', '270-279', '278'],\n",
       " '534.50': ['534.50', '534.50', '-1', '520-579', '530-539', '534', '534.5'],\n",
       " '906.5': ['906.5', '906.5', '-1', '800-999', '905-909', '906'],\n",
       " '763.6': ['763.6', '763.6', '-1', '760-779', '760-763', '763'],\n",
       " '863.89': ['863.89', '863.89', '-1', '800-999', '863', '860-869', '863.8'],\n",
       " '456.21': ['456.21', '456.21', '-1', '390-459', '451-459', '456.2', '456'],\n",
       " 'V72.1': ['V72.1', 'V72.1', '-1', 'V01-V91', 'V70-V82', 'V72'],\n",
       " '802.38': ['802.38', '802.38', '-1', '800-999', '800-804', '802', '802.3'],\n",
       " '801.76': ['801.76', '801.76', '-1', '800-999', '800-804', '801', '801.7'],\n",
       " '214.4': ['214.4', '214.4', '-1', '140-239', '210-229', '214'],\n",
       " 'V45.3': ['V45.3', 'V45.3', '-1', 'V01-V91', 'V40-V49', 'V45'],\n",
       " 'E931.8': ['E931.8', 'E931.8', '-1', 'E000-E999', 'E930-E949', 'E931'],\n",
       " '438.19': ['438.19', '438.19', '-1', '390-459', '430-438', '438', '438.1'],\n",
       " '427.5': ['427.5', '427.5', '-1', '390-459', '420-429', '427'],\n",
       " 'E946.0': ['E946.0', 'E946.0', '-1', 'E000-E999', 'E930-E949', 'E946'],\n",
       " '359.81': ['359.81', '359.81', '-1', '320-389', '350-359', '359', '359.8'],\n",
       " '197.5': ['197.5', '197.5', '-1', '140-239', '190-199', '197'],\n",
       " '714.0': ['714.0', '714.0', '-1', '710-739', '710-719', '714'],\n",
       " '429.79': ['429.79', '429.79', '-1', '390-459', '420-429', '429', '429.7'],\n",
       " '041.86': ['041.86', '041.86', '-1', '001-139', '041.8', '041', '030-041'],\n",
       " '770.3': ['770.3', '770.3', '-1', '764-779', '760-779', '770'],\n",
       " '327.24': ['327.24', '327.24', '-1', '320-389', '320-327', '327', '327.2'],\n",
       " '366.16': ['366.16', '366.16', '-1', '320-389', '360-379', '366', '366.1'],\n",
       " '969.5': ['969.5', '969.5', '-1', '800-999', '960-979', '969'],\n",
       " '458.1': ['458.1', '458.1', '-1', '390-459', '451-459', '458'],\n",
       " '333.82': ['333.82', '333.82', '-1', '320-389', '333', '330-337', '333.8'],\n",
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       " '780.6': ['780.6', '780.6', '-1', '780-789', '780-799', '780'],\n",
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       " 'E878.5': ['E878.5', 'E878.5', '-1', 'E000-E999', 'E878-E879', 'E878'],\n",
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       " 'E933.1': ['E933.1', 'E933.1', '-1', 'E000-E999', 'E930-E949', 'E933'],\n",
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       " '287.2': ['287.2', '287.2', '-1', '280-289', '287'],\n",
       " 'E947.0': ['E947.0', 'E947.0', '-1', 'E000-E999', 'E930-E949', 'E947'],\n",
       " '813.43': ['813.43', '813.43', '-1', '800-999', '813', '810-819', '813.4'],\n",
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       " 'E980.4': ['E980.4', 'E980.4', '-1', 'E000-E999', 'E980-E989', 'E980'],\n",
       " '453.85': ['453.85', '453.85', '453.8', '-1', '390-459', '451-459', '453'],\n",
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       " 'E945.7': ['E945.7', 'E945.7', '-1', 'E000-E999', 'E930-E949', 'E945'],\n",
       " '707.0': ['707.0', '707.0', '-1', '680-709', '700-709', '707'],\n",
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       " '998.01': ['998.01', '998.01', '998.0', '-1', '800-999', '996-999', '998'],\n",
       " '780.93': ['780.93', '780.93', '-1', '780-789', '780-799', '780', '780.9'],\n",
       " '337.21': ['337.21', '337.21', '-1', '320-389', '330-337', '337.2', '337'],\n",
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       " 'V15.2': ['V15.2', 'V15.2', '-1', 'V01-V91', 'V10-V19', 'V15'],\n",
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       " '800.12': ['800.12', '800.12', '-1', '800-999', '800-804', '800', '800.1'],\n",
       " 'V54.89': ['V54.89', 'V54.89', '-1', 'V01-V91', 'V50-V59', 'V54', 'V54.8'],\n",
       " '307.89': ['307.89', '307.89', '-1', '300-316', '290-319', '307', '307.8'],\n",
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       " '903.3': ['903.3', '903.3', '-1', '800-999', '900-904', '903'],\n",
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       " '788.64': ['788.64', '788.64', '-1', '780-789', '780-799', '788', '788.6'],\n",
       " '997.5': ['997.5', '997.5', '-1', '800-999', '996-999', '997'],\n",
       " 'E967.1': ['E967.1', 'E967.1', '-1', 'E000-E999', 'E967', 'E960-E969'],\n",
       " '736.79': ['736.79', '736.79', '-1', '710-739', '730-739', '736', '736.7'],\n",
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       " 'V14.3': ['V14.3', 'V14.3', '-1', 'V01-V91', 'V10-V19', 'V14'],\n",
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       " '446.20': ['446.20', '446.20', '-1', '390-459', '440-449', '446', '446.2'],\n",
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       " '787.1': ['787.1', '787.1', '-1', '780-789', '780-799', '787'],\n",
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       " 'V58.66': ['V58.66', 'V58.66', '-1', 'V01-V91', 'V50-V59', 'V58', 'V58.6'],\n",
       " 'E930.0': ['E930.0', 'E930.0', '-1', 'E000-E999', 'E930-E949', 'E930'],\n",
       " '305.80': ['305.80', '305.80', '-1', '300-316', '290-319', '305', '305.8'],\n",
       " '008.45': ['008.45', '008.45', '-1', '001-139', '001-009', '008', '008.4'],\n",
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       " 'V61.04': ['V61.04', 'V61.04', 'V61.0', '-1', 'V01-V91', 'V60-V69', 'V61'],\n",
       " '551.3': ['551.3', '551.3', '-1', '520-579', '550-553', '551'],\n",
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       " 'V49.86': ['V49.86', 'V49.86', '-1', 'V01-V91', 'V40-V49', 'V49.8', 'V49'],\n",
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       " 'V46.3': ['V46.3', 'V46.3', '-1', 'V01-V91', 'V40-V49', 'V46'],\n",
       " '342.82': ['342.82', '342.82', '-1', '320-389', '340-349', '342', '342.8'],\n",
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       " '528.01': ['528.01', '528.01', '528.0', '-1', '520-579', '520-529', '528'],\n",
       " 'E870.6': ['E870.6', 'E870.6', '-1', 'E000-E999', 'E870', 'E870-E876'],\n",
       " '297.8': ['297.8', '297.8', '-1', '290-319', '295-299', '297'],\n",
       " '998.32': ['998.32', '998.32', '998.3', '-1', '800-999', '996-999', '998'],\n",
       " '996.78': ['996.78', '996.78', '-1', '800-999', '996-999', '996', '996.7'],\n",
       " '249.80': ['249.80', '249.80', '-1', '249-259', '240-279', '249', '249.8'],\n",
       " '644.21': ['644.21', '644.21', '-1', '630-679', '640-649', '644.2', '644'],\n",
       " '218.2': ['218.2', '218.2', '-1', '140-239', '210-229', '218'],\n",
       " '998.3': ['998.3', '998.3', '-1', '800-999', '996-999', '998'],\n",
       " '997.69': ['997.69', '997.69', '-1', '800-999', '996-999', '997', '997.6'],\n",
       " '289.9': ['289.9', '289.9', '-1', '280-289', '289'],\n",
       " '377.01': ['377.01', '377.01', '-1', '320-389', '360-379', '377', '377.0'],\n",
       " '730.23': ['730.23', '730.23', '-1', '710-739', '730', '730-739', '730.2'],\n",
       " 'E888': ['E888', 'E888', '-1', 'E000-E999', 'E880-E888'],\n",
       " '244.2': ['244.2', '244.2', '-1', '240-279', '240-246', '244'],\n",
       " '802.24': ['802.24', '802.24', '-1', '800-999', '800-804', '802', '802.2'],\n",
       " '038.19': ['038.19', '038.19', '-1', '001-139', '030-041', '038', '038.1'],\n",
       " '787.02': ['787.02', '787.02', '-1', '780-789', '780-799', '787', '787.0'],\n",
       " '790.94': ['790.94', '790.94', '-1', '780-799', '790-796', '790', '790.9'],\n",
       " '008.63': ['008.63', '008.63', '-1', '001-139', '001-009', '008', '008.6'],\n",
       " '429.9': ['429.9', '429.9', '-1', '390-459', '420-429', '429'],\n",
       " '533.90': ['533.90', '533.90', '-1', '520-579', '530-539', '533', '533.9'],\n",
       " '574.60': ['574.60', '574.60', '-1', '520-579', '570-579', '574', '574.6'],\n",
       " '996.79': ['996.79', '996.79', '-1', '800-999', '996-999', '996', '996.7'],\n",
       " '188.2': ['188.2', '188.2', '-1', '140-239', '179-189', '188'],\n",
       " '188.5': ['188.5', '188.5', '-1', '140-239', '179-189', '188'],\n",
       " '512.84': ['512.84', '512.84', '512.8', '-1', '460-519', '510-519', '512'],\n",
       " '784.99': ['784.99', '784.99', '-1', '780-789', '780-799', '784', '784.9'],\n",
       " '280.8': ['280.8', '280.8', '-1', '280-289', '280'],\n",
       " 'E918': ['E918', 'E918', '-1', 'E000-E999', 'E916-E928'],\n",
       " '529.6': ['529.6', '529.6', '-1', '520-579', '520-529', '529'],\n",
       " '607.9': ['607.9', '607.9', '-1', '580-629', '600-608', '607'],\n",
       " '574.50': ['574.50', '574.50', '-1', '520-579', '570-579', '574.5', '574'],\n",
       " '552.8': ['552.8', '552.8', '-1', '520-579', '550-553', '552'],\n",
       " '715.31': ['715.31', '715.31', '-1', '710-739', '710-719', '715', '715.3'],\n",
       " '780.64': ['780.64', '780.6', '780.64', '-1', '780-789', '780-799', '780'],\n",
       " '360.01': ['360.01', '360.01', '-1', '320-389', '360-379', '360.0', '360'],\n",
       " '996.02': ['996.02', '996.02', '-1', '800-999', '996-999', '996', '996.0'],\n",
       " '477.9': ['477.9', '477.9', '-1', '460-519', '470-478', '477'],\n",
       " '361.9': ['361.9', '361.9', '-1', '320-389', '360-379', '361'],\n",
       " 'V10.09': ['V10.09', 'V10.09', '-1', 'V01-V91', 'V10-V19', 'V10', 'V10.0'],\n",
       " '695.2': ['695.2', '695.2', '-1', '680-709', '690-698', '695'],\n",
       " '702.19': ['702.19', '702.19', '-1', '680-709', '700-709', '702', '702.1'],\n",
       " '656.41': ['656.41', '656.41', '-1', '630-679', '650-659', '656.4', '656'],\n",
       " '112.1': ['112.1', '112.1', '-1', '001-139', '110-118', '112'],\n",
       " '730.25': ['730.25', '730.25', '-1', '710-739', '730', '730-739', '730.2'],\n",
       " '997.71': ['997.71', '997.71', '-1', '800-999', '996-999', '997', '997.7'],\n",
       " '209.69': ['209.69', '209.69', '-1', '140-239', '200-209', '209', '209.6'],\n",
       " '516.3': ['516.3', '516.3', '-1', '460-519', '510-519', '516'],\n",
       " '603.8': ['603.8', '603.8', '-1', '580-629', '600-608', '603'],\n",
       " '304.22': ['304.22', '304.22', '-1', '300-316', '290-319', '304', '304.2'],\n",
       " '279.3': ['279.3', '279.3', '-1', '240-279', '279', '270-279'],\n",
       " '049.1': ['049.1', '049.1', '-1', '001-139', '045-049', '049'],\n",
       " '738.4': ['738.4', '738.4', '-1', '710-739', '730-739', '738'],\n",
       " '013.25': ['013.25', '013.25', '-1', '001-139', '010-018', '013', '013.2'],\n",
       " 'E887': ['E887', 'E887', '-1', 'E000-E999', 'E880-E888'],\n",
       " '269.9': ['269.9', '269.9', '-1', '240-279', '269', '260-269'],\n",
       " '424.1': ['424.1', '424.1', '-1', '390-459', '420-429', '424'],\n",
       " '070.70': ['070.70', '070.70', '-1', '001-139', '070-079', '070', '070.7'],\n",
       " '438.30': ['438.30', '438.30', '-1', '390-459', '430-438', '438', '438.3'],\n",
       " '295.90': ['295.90', '295.90', '-1', '290-319', '295-299', '295', '295.9'],\n",
       " '572.2': ['572.2', '572.2', '-1', '520-579', '570-579', '572'],\n",
       " '924.5': ['924.5', '924.5', '-1', '800-999', '920-924', '924'],\n",
       " '530.87': ['530.87', '530.87', '-1', '520-579', '530-539', '530', '530.8'],\n",
       " '445.81': ['445.81', '445.81', '-1', '390-459', '440-449', '445', '445.8'],\n",
       " '802.21': ['802.21', '802.21', '-1', '800-999', '800-804', '802', '802.2'],\n",
       " '262': ['262', '262', '-1', '240-279', '260-269'],\n",
       " '604.90': ['604.90', '604.90', '-1', '580-629', '600-608', '604', '604.9'],\n",
       " '562.10': ['562.10', '562.10', '-1', '520-579', '560-569', '562.1', '562'],\n",
       " 'E920.1': ['E920.1', 'E920.1', '-1', 'E000-E999', 'E916-E928', 'E920'],\n",
       " '900.03': ['900.03', '900.03', '-1', '800-999', '900-904', '900', '900.0'],\n",
       " 'V50.41': ['V50.41', 'V50.41', '-1', 'V01-V91', 'V50-V59', 'V50', 'V50.4'],\n",
       " '706.8': ['706.8', '706.8', '-1', '680-709', '700-709', '706'],\n",
       " '423.3': ['423.3', '423.3', '-1', '390-459', '420-429', '423'],\n",
       " '732.4': ['732.4', '732.4', '-1', '710-739', '730-739', '732'],\n",
       " 'V76.51': ['V76.51', 'V76.51', '-1', 'V01-V91', 'V70-V82', 'V76.5', 'V76'],\n",
       " '173.3': ['173.3', '173.3', '-1', '140-239', '170-176', '173'],\n",
       " '041.9': ['041.9', '041.9', '-1', '001-139', '041', '030-041'],\n",
       " '682.1': ['682.1', '682.1', '-1', '680-709', '680-686', '682'],\n",
       " '278.03': ['278.03', '278.03', '-1', '240-279', '270-279', '278.0', '278'],\n",
       " '786.06': ['786.06', '786.06', '-1', '780-789', '780-799', '786', '786.0'],\n",
       " 'V43.63': ['V43.63', 'V43.63', '-1', 'V01-V91', 'V40-V49', 'V43.6', 'V43'],\n",
       " '378.52': ['378.52', '378.52', '-1', '320-389', '360-379', '378', '378.5'],\n",
       " '211.5': ['211.5', '211.5', '-1', '140-239', '210-229', '211'],\n",
       " '343.8': ['343.8', '343.8', '-1', '320-389', '340-349', '343'],\n",
       " 'V45.12': ['V45.12', 'V45.12', 'V45.1', '-1', 'V01-V91', 'V40-V49', 'V45'],\n",
       " '348.82': ['348.82', '348.82', '348.8', '-1', '320-389', '340-349', '348'],\n",
       " 'V10.12': ['V10.12', 'V10.12', '-1', 'V01-V91', 'V10-V19', 'V10', 'V10.1'],\n",
       " '466.0': ['466.0', '466.0', '-1', '460-519', '460-466', '466'],\n",
       " '556.1': ['556.1', '556.1', '-1', '520-579', '556', '555-558'],\n",
       " 'E815.0': ['E815.0', 'E815.0', '-1', 'E000-E999', 'E810-E819', 'E815'],\n",
       " '724.09': ['724.09', '724.09', '-1', '710-739', '720-724', '724', '724.0'],\n",
       " '191.2': ['191.2', '191.2', '-1', '140-239', '190-199', '191'],\n",
       " ...}"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for child, parents in attention_comp.items():\n",
    "    for parent in parents:\n",
    "        if (\n",
    "            len(\n",
    "                edge_comparison_df[\n",
    "                    (edge_comparison_df[\"child\"] == child)\n",
    "                    & (edge_comparison_df[\"parent\"] == parent)\n",
    "                ]\n",
    "            )\n",
    "            > 0\n",
    "        ):\n",
    "            continue\n",
    "\n",
    "        refined_knowledge[child].append(parent)\n",
    "\n",
    "refined_knowledge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "32d447f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_to_node_mapping(\n",
    "    all_nodes: List[str], use_node_mapping: bool = True\n",
    ") -> Dict[str, str]:\n",
    "    node_names = list(set([_node_name(x) for x in all_nodes]))\n",
    "    node_mapping = {}\n",
    "    for idx in range(len(node_names)):\n",
    "        if use_node_mapping:\n",
    "            node_mapping[node_names[idx]] = \"feature\" + str(idx)\n",
    "        else:\n",
    "            node_mapping[node_names[idx]] = node_names[idx]\n",
    "    return node_mapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "27f0e86d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def _node_name(node_id: str) -> str:\n",
    "    if not str(node_id).isdigit():\n",
    "        return node_id\n",
    "\n",
    "    return \"#\" + str(node_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "1b261c54",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " '923.03': '923.03',\n",
       " '#990': '#990',\n",
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       " '584.9': '584.9',\n",
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       " '789.59': '789.59',\n",
       " '275.09': '275.09',\n",
       " '593.89': '593.89',\n",
       " '275.02': '275.02',\n",
       " '730.25': '730.25',\n",
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       " '250.42': '250.42',\n",
       " 'V05.8': 'V05.8',\n",
       " '552.02': '552.02',\n",
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       " '250.51': '250.51',\n",
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       " '454.8': '454.8',\n",
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       " '730.27': '730.27',\n",
       " '958.4': '958.4',\n",
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       " '728.71': '728.71',\n",
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       " 'E927.8': 'E927.8',\n",
       " '304.30': '304.30',\n",
       " '780.64': '780.64',\n",
       " '433.30': '433.30',\n",
       " '357.4': '357.4',\n",
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       " '748.0': '748.0',\n",
       " '980.2': '980.2',\n",
       " '110.4': '110.4',\n",
       " '716.95': '716.95',\n",
       " '748.2': '748.2',\n",
       " '599.72': '599.72',\n",
       " '718.40': '718.40',\n",
       " '746.09': '746.09',\n",
       " '763.89': '763.89',\n",
       " '806.31': '806.31',\n",
       " '438.84': '438.84',\n",
       " '698.1': '698.1',\n",
       " '#938': '#938',\n",
       " '707.23': '707.23',\n",
       " '484.7': '484.7',\n",
       " 'V62.84': 'V62.84',\n",
       " '902.33': '902.33',\n",
       " 'E950.0': 'E950.0',\n",
       " '200.40': '200.40',\n",
       " '354.1': '354.1',\n",
       " '297.9': '297.9',\n",
       " '648.21': '648.21',\n",
       " '805.04': '805.04',\n",
       " '348.39': '348.39',\n",
       " '701.2': '701.2',\n",
       " '278.02': '278.02',\n",
       " '891.1': '891.1',\n",
       " '814.18': '814.18',\n",
       " '784.7': '784.7',\n",
       " '530.2': '530.2',\n",
       " '493.22': '493.22',\n",
       " 'E849.8': 'E849.8',\n",
       " 'V61.41': 'V61.41',\n",
       " 'E939.3': 'E939.3',\n",
       " '512.83': '512.83',\n",
       " '574.61': '574.61',\n",
       " 'V01.7': 'V01.7',\n",
       " '800.01': '800.01',\n",
       " '453.83': '453.83',\n",
       " '851.86': '851.86',\n",
       " '733.13': '733.13',\n",
       " 'V49.85': 'V49.85',\n",
       " '516.8': '516.8',\n",
       " 'E854.2': 'E854.2',\n",
       " '375.55': '375.55',\n",
       " '202.88': '202.88',\n",
       " '132.9': '132.9',\n",
       " '250.43': '250.43',\n",
       " '478.33': '478.33',\n",
       " '801.62': '801.62',\n",
       " '926.19': '926.19',\n",
       " '569.89': '569.89',\n",
       " '454.0': '454.0',\n",
       " 'E870.2': 'E870.2',\n",
       " '196.8': '196.8',\n",
       " '865.12': '865.12',\n",
       " '715.91': '715.91',\n",
       " '574.71': '574.71',\n",
       " ...}"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "use_node_mapping=False\n",
    "\n",
    "feature_node_mapping = convert_to_node_mapping(\n",
    "    [x for x in attention_comp], use_node_mapping\n",
    ")\n",
    "feature_node_mapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "86a71130",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " ('E924.2', '-1'),\n",
       " ('442.81', '442'),\n",
       " ('290.0', '290'),\n",
       " ('789.33', '780-789'),\n",
       " ('349.31', '349.31'),\n",
       " ('E929.1', 'E929'),\n",
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       " ('443.23', '-1'),\n",
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       " ('686.09', '-1'),\n",
       " ('839.08', '-1'),\n",
       " ('E920.9', 'E920.9'),\n",
       " ('742.1', '742.1'),\n",
       " ('564.2', '520-579'),\n",
       " ('996.01', '996'),\n",
       " ('117.7', '117.7'),\n",
       " ('909.3', '905-909'),\n",
       " ('602.8', '580-629'),\n",
       " ('305.80', '-1'),\n",
       " ('521.09', '-1'),\n",
       " ('441.3', '390-459'),\n",
       " ('710.5', '710'),\n",
       " ('765.18', '764-779'),\n",
       " ('863.30', '863.30'),\n",
       " ('V07.2', 'V07'),\n",
       " ('918.1', '-1'),\n",
       " ('917.2', '-1'),\n",
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       " ('158.9', '150-159'),\n",
       " ('173.1', '173.1'),\n",
       " ('588.1', '580-629'),\n",
       " ('438.21', '438.2'),\n",
       " ('130.7', '130-136'),\n",
       " ('300.11', '-1'),\n",
       " ('733.16', '730-739'),\n",
       " ('343.4', '343'),\n",
       " ('E936.0', 'E936'),\n",
       " ('909.9', '909.9'),\n",
       " ('719.01', '719.0'),\n",
       " ('747.83', '747.8'),\n",
       " ('338.21', '320-389'),\n",
       " ('789.04', '-1'),\n",
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       " ('343.2', '343.2'),\n",
       " ('E858.8', 'E850-E858'),\n",
       " ('853.05', '850-854'),\n",
       " ('V13.52', 'V13'),\n",
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       " ('783.5', '783'),\n",
       " ('996.81', '996'),\n",
       " ('V53.32', 'V53.3'),\n",
       " ('494.0', '494'),\n",
       " ('307.81', '300-316'),\n",
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       " ('305.53', '305'),\n",
       " ('E885.0', 'E885'),\n",
       " ('368.47', '368.47'),\n",
       " ('196.3', '190-199'),\n",
       " ('E854.8', 'E854.8'),\n",
       " ('346.20', '340-349'),\n",
       " ('260', '240-279'),\n",
       " ('999.5', '800-999'),\n",
       " ('V58.43', 'V58.43'),\n",
       " ('884.0', '800-999'),\n",
       " ('E980.0', 'E980-E989'),\n",
       " ('987.8', '-1'),\n",
       " ('730.16', '730-739'),\n",
       " ('E812.2', 'E812.2'),\n",
       " ('V16.0', 'V16'),\n",
       " ('438.53', '438.5'),\n",
       " ('727.82', '710-739'),\n",
       " ('V11.8', 'V11.8'),\n",
       " ('801.35', '800-999'),\n",
       " ('923.00', '800-999'),\n",
       " ('722.83', '722.8'),\n",
       " ('013.25', '013'),\n",
       " ('333.7', '330-337'),\n",
       " ('342.01', '-1'),\n",
       " ('438.83', '430-438'),\n",
       " ('864.05', '860-869'),\n",
       " ('027.2', '027.2'),\n",
       " ('295.72', '290-319'),\n",
       " ('480.1', '-1'),\n",
       " ('V46.9', 'V46.9'),\n",
       " ('604.0', '600-608'),\n",
       " ('874.02', '874.02'),\n",
       " ('733.3', '733'),\n",
       " ('410.91', '410-414'),\n",
       " ('451.82', '-1'),\n",
       " ('187.4', '179-189'),\n",
       " ('865.12', '860-869'),\n",
       " ('434.11', '434.11'),\n",
       " ('703.0', '700-709'),\n",
       " ('E879.6', 'E879'),\n",
       " ('376.52', '360-379'),\n",
       " ('730.05', '730'),\n",
       " ('V43.64', 'V43'),\n",
       " ('728.71', '-1'),\n",
       " ('812.19', '800-999'),\n",
       " ('951.5', '-1'),\n",
       " ('813.08', '800-999'),\n",
       " ('581.89', '580-589'),\n",
       " ('976.6', '976.6'),\n",
       " ('E955.4', 'E955'),\n",
       " ('530.6', '530'),\n",
       " ('508.1', '460-519'),\n",
       " ('433.01', '430-438'),\n",
       " ('041.9', '041.9'),\n",
       " ('E901.8', 'E900-E909'),\n",
       " ('189.3', '189'),\n",
       " ('852.46', '852'),\n",
       " ('707.8', '707.8'),\n",
       " ('V48.9', 'V40-V49'),\n",
       " ...}"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reference_connections=set(\n",
    "    [(c,p) for c,ps in refined_knowledge.items() for p in ps]\n",
    ")\n",
    "reference_connections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "fef5edf0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " ('250.33', '250.33'),\n",
       " ('258.8', '240-279'),\n",
       " ('730.01', '730-739'),\n",
       " ('249.60', '240-279'),\n",
       " ('802.7', '800-804'),\n",
       " ('759.2', '759'),\n",
       " ('707.19', '680-709'),\n",
       " ('807.08', '-1'),\n",
       " ('878.0', '-1'),\n",
       " ('040.0', '001-139'),\n",
       " ('802.30', '802'),\n",
       " ('801.12', '801.1'),\n",
       " ('584.8', '580-589'),\n",
       " ('V55.1', 'V50-V59'),\n",
       " ('812.42', '812.4'),\n",
       " ('V74.1', 'V70-V82'),\n",
       " ('V64.2', 'V01-V91'),\n",
       " ('945.32', '945.3'),\n",
       " ('459.89', '451-459'),\n",
       " ('428.23', '428.2'),\n",
       " ('903.4', '-1'),\n",
       " ('202.40', '202'),\n",
       " ('350.9', '350'),\n",
       " ('912.0', '910-919'),\n",
       " ('596.51', '-1'),\n",
       " ('E929.1', 'E929.1'),\n",
       " ('312.89', '290-319'),\n",
       " ('V49.76', 'V01-V91'),\n",
       " ('386.30', '386.30'),\n",
       " ('526.4', '526.4'),\n",
       " ('161.3', '160-165'),\n",
       " ('200.02', '-1'),\n",
       " ('894.0', '894.0'),\n",
       " ('552.21', '552.21'),\n",
       " ('348.30', '348.3'),\n",
       " ('V49.61', 'V01-V91'),\n",
       " ('959.9', '958-959'),\n",
       " ('599.69', '-1'),\n",
       " ('902.33', '800-999'),\n",
       " ('V45.71', 'V45.7'),\n",
       " ('V13.69', 'V13'),\n",
       " ('680.6', '680-686'),\n",
       " ('900.03', '900'),\n",
       " ('306.1', '306'),\n",
       " ('802.24', '800-804'),\n",
       " ('379.24', '-1'),\n",
       " ('726.73', '726.7'),\n",
       " ('171.4', '171.4'),\n",
       " ('V14.8', 'V14.8'),\n",
       " ('817.1', '-1'),\n",
       " ('V55.3', 'V55'),\n",
       " ('E906.3', 'E906.3'),\n",
       " ('567.8', '560-569'),\n",
       " ('747.3', '747'),\n",
       " ('375.01', '360-379'),\n",
       " ('711.06', '711'),\n",
       " ('607.84', '-1'),\n",
       " ('V54.89', 'V54.89'),\n",
       " ('705.1', '705.1'),\n",
       " ('741.90', '741.90'),\n",
       " ('996.75', '996.7'),\n",
       " ('569.3', '569.3'),\n",
       " ('118', '001-139'),\n",
       " ('E929.4', 'E000-E999'),\n",
       " ('379.8', '-1'),\n",
       " ('431', '390-459'),\n",
       " ('707.22', '707'),\n",
       " ('972.0', '972'),\n",
       " ('595.0', '590-599'),\n",
       " ('715.16', '715.1'),\n",
       " ('155.1', '140-239'),\n",
       " ('E852.9', 'E852.9'),\n",
       " ('440.30', '440-449'),\n",
       " ('265.1', '265.1'),\n",
       " ('211.2', '-1'),\n",
       " ('434.91', '-1'),\n",
       " ('727.40', '727.4'),\n",
       " ('767.19', '-1'),\n",
       " ('765.12', '765'),\n",
       " ('553.20', '553'),\n",
       " ('V62.6', '-1'),\n",
       " ('287.49', '280-289'),\n",
       " ('V58.41', 'V50-V59'),\n",
       " ('982.8', '980-989'),\n",
       " ('E938.0', 'E930-E949'),\n",
       " ('373.00', '320-389'),\n",
       " ('241.1', '240-246'),\n",
       " ('046.3', '046.3'),\n",
       " ('V49.87', 'V49'),\n",
       " ('395.9', '390-459'),\n",
       " ('922.31', '922.31'),\n",
       " ('E888', 'E888'),\n",
       " ('707.11', '707.11'),\n",
       " ('376.89', '376.8'),\n",
       " ('785.2', '785'),\n",
       " ('401.9', '390-459'),\n",
       " ('535.20', '535'),\n",
       " ('V10.07', 'V01-V91'),\n",
       " ('853.05', '853.05'),\n",
       " ('284.12', '-1'),\n",
       " ('454.8', '390-459'),\n",
       " ('772.6', '764-779'),\n",
       " ('839.79', '839.79'),\n",
       " ('840.8', '840.8'),\n",
       " ('038.19', '038.19'),\n",
       " ('433.11', '430-438'),\n",
       " ('553.1', '553.1'),\n",
       " ('996.71', '996'),\n",
       " ('958.93', '-1'),\n",
       " ('054.19', '054'),\n",
       " ('996.84', '996'),\n",
       " ('575.4', '575.4'),\n",
       " ('747.3', '-1'),\n",
       " ('532.01', '532.01'),\n",
       " ('303.90', '300-316'),\n",
       " ('V10.60', 'V10.6'),\n",
       " ('V64.41', 'V64.4'),\n",
       " ('334.3', '334'),\n",
       " ('V10.61', 'V10-V19'),\n",
       " ('320.1', '320'),\n",
       " ('598.8', '590-599'),\n",
       " ('536.2', '520-579'),\n",
       " ('461.8', '460-466'),\n",
       " ('564.7', '560-569'),\n",
       " ('377.30', '-1'),\n",
       " ('569.69', '569'),\n",
       " ('551.21', '550-553'),\n",
       " ('041.03', '030-041'),\n",
       " ('811.00', '810-819'),\n",
       " ('337.20', '337.20'),\n",
       " ('921.2', '920-924'),\n",
       " ('250.12', '250.1'),\n",
       " ('782.4', '782.4'),\n",
       " ('V49.84', 'V01-V91'),\n",
       " ('648.01', '630-679'),\n",
       " ('873.64', '800-999'),\n",
       " ('V43.82', 'V43.82'),\n",
       " ('305.43', '290-319'),\n",
       " ('239.1', '140-239'),\n",
       " ('368.15', '-1'),\n",
       " ('428.20', '390-459'),\n",
       " ('453.9', '390-459'),\n",
       " ('209.75', '140-239'),\n",
       " ('873.43', '873.4'),\n",
       " ('E871.8', 'E870-E876'),\n",
       " ('288.00', '280-289'),\n",
       " ('208.91', '208'),\n",
       " ('574.70', '574.7'),\n",
       " ('V45.02', 'V01-V91'),\n",
       " ('787.02', '787.0'),\n",
       " ('784.5', '784'),\n",
       " ('038.44', '038.44'),\n",
       " ('032.9', '032.9'),\n",
       " ('359.71', '350-359'),\n",
       " ('478.22', '478.22'),\n",
       " ('996.87', '-1'),\n",
       " ('551.8', '-1'),\n",
       " ('E945.1', 'E930-E949'),\n",
       " ('V65.5', 'V65.5'),\n",
       " ('455.2', '-1'),\n",
       " ('614.5', '-1'),\n",
       " ('112.3', '112'),\n",
       " ('969.4', '969'),\n",
       " ('204.11', '-1'),\n",
       " ('786.07', '786'),\n",
       " ('868.00', '800-999'),\n",
       " ('V02.9', 'V02'),\n",
       " ('516.31', '510-519'),\n",
       " ('360.03', '360.0'),\n",
       " ('198.6', '198'),\n",
       " ('519.09', '460-519'),\n",
       " ('564.00', '560-569'),\n",
       " ('426.12', '426.1'),\n",
       " ('E966', 'E966'),\n",
       " ('851.41', '850-854'),\n",
       " ('198.82', '190-199'),\n",
       " ('550.92', '520-579'),\n",
       " ('289.3', '280-289'),\n",
       " ('788.1', '788'),\n",
       " ('996.02', '-1'),\n",
       " ('997.79', '997'),\n",
       " ('789.39', '-1'),\n",
       " ('682.8', '680-709'),\n",
       " ('344.1', '344'),\n",
       " ('189.0', '189'),\n",
       " ('934.0', '934'),\n",
       " ('338.4', '338.4'),\n",
       " ('202.05', '200-209'),\n",
       " ('305.03', '305'),\n",
       " ('711.03', '711.03'),\n",
       " ('E924.2', '-1'),\n",
       " ('442.81', '442'),\n",
       " ('290.0', '290'),\n",
       " ('789.33', '780-789'),\n",
       " ('349.31', '349.31'),\n",
       " ('E929.1', 'E929'),\n",
       " ('296.30', '296.3'),\n",
       " ('E920.5', 'E916-E928'),\n",
       " ('443.23', '-1'),\n",
       " ('303.92', '300-316'),\n",
       " ('686.09', '-1'),\n",
       " ('839.08', '-1'),\n",
       " ('E920.9', 'E920.9'),\n",
       " ('742.1', '742.1'),\n",
       " ('564.2', '520-579'),\n",
       " ('996.01', '996'),\n",
       " ('117.7', '117.7'),\n",
       " ('909.3', '905-909'),\n",
       " ('602.8', '580-629'),\n",
       " ('305.80', '-1'),\n",
       " ('521.09', '-1'),\n",
       " ('441.3', '390-459'),\n",
       " ('710.5', '710'),\n",
       " ('765.18', '764-779'),\n",
       " ('863.30', '863.30'),\n",
       " ('V07.2', 'V07'),\n",
       " ('918.1', '-1'),\n",
       " ('917.2', '-1'),\n",
       " ('E812.3', 'E000-E999'),\n",
       " ('158.9', '150-159'),\n",
       " ('173.1', '173.1'),\n",
       " ('588.1', '580-629'),\n",
       " ('438.21', '438.2'),\n",
       " ('130.7', '130-136'),\n",
       " ('300.11', '-1'),\n",
       " ('733.16', '730-739'),\n",
       " ('343.4', '343'),\n",
       " ('E936.0', 'E936'),\n",
       " ('909.9', '909.9'),\n",
       " ('719.01', '719.0'),\n",
       " ('747.83', '747.8'),\n",
       " ('338.21', '320-389'),\n",
       " ('789.04', '-1'),\n",
       " ('593.9', '580-629'),\n",
       " ('343.2', '343.2'),\n",
       " ('E858.8', 'E850-E858'),\n",
       " ('853.05', '850-854'),\n",
       " ('V13.52', 'V13'),\n",
       " ('438.10', '438.1'),\n",
       " ('209.73', '-1'),\n",
       " ('753.29', '753'),\n",
       " ('783.5', '783'),\n",
       " ('996.81', '996'),\n",
       " ('V53.32', 'V53.3'),\n",
       " ('494.0', '494'),\n",
       " ('307.81', '300-316'),\n",
       " ('806.16', '800-999'),\n",
       " ('305.53', '305'),\n",
       " ('E885.0', 'E885'),\n",
       " ('368.47', '368.47'),\n",
       " ('196.3', '190-199'),\n",
       " ('E854.8', 'E854.8'),\n",
       " ('346.20', '340-349'),\n",
       " ('260', '240-279'),\n",
       " ('999.5', '800-999'),\n",
       " ('V58.43', 'V58.43'),\n",
       " ('884.0', '800-999'),\n",
       " ('E980.0', 'E980-E989'),\n",
       " ('987.8', '-1'),\n",
       " ('730.16', '730-739'),\n",
       " ('E812.2', 'E812.2'),\n",
       " ('V16.0', 'V16'),\n",
       " ('438.53', '438.5'),\n",
       " ('727.82', '710-739'),\n",
       " ('V11.8', 'V11.8'),\n",
       " ('801.35', '800-999'),\n",
       " ('923.00', '800-999'),\n",
       " ('722.83', '722.8'),\n",
       " ('013.25', '013'),\n",
       " ('333.7', '330-337'),\n",
       " ('342.01', '-1'),\n",
       " ('438.83', '430-438'),\n",
       " ('864.05', '860-869'),\n",
       " ('027.2', '027.2'),\n",
       " ('295.72', '290-319'),\n",
       " ('480.1', '-1'),\n",
       " ('V46.9', 'V46.9'),\n",
       " ('604.0', '600-608'),\n",
       " ('874.02', '874.02'),\n",
       " ('733.3', '733'),\n",
       " ('410.91', '410-414'),\n",
       " ('451.82', '-1'),\n",
       " ('187.4', '179-189'),\n",
       " ('865.12', '860-869'),\n",
       " ('434.11', '434.11'),\n",
       " ('703.0', '700-709'),\n",
       " ('E879.6', 'E879'),\n",
       " ('376.52', '360-379'),\n",
       " ('730.05', '730'),\n",
       " ('V43.64', 'V43'),\n",
       " ('728.71', '-1'),\n",
       " ('812.19', '800-999'),\n",
       " ('951.5', '-1'),\n",
       " ('813.08', '800-999'),\n",
       " ('581.89', '580-589'),\n",
       " ('976.6', '976.6'),\n",
       " ('E955.4', 'E955'),\n",
       " ('530.6', '530'),\n",
       " ('508.1', '460-519'),\n",
       " ('433.01', '430-438'),\n",
       " ('041.9', '041.9'),\n",
       " ('E901.8', 'E900-E909'),\n",
       " ('189.3', '189'),\n",
       " ('852.46', '852'),\n",
       " ('707.8', '707.8'),\n",
       " ('V48.9', 'V40-V49'),\n",
       " ...}"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "original_connections = set(\n",
    "    [\n",
    "        (child, parent)\n",
    "        for child, parents in attention_comp.items()\n",
    "        for parent in parents\n",
    "    ]\n",
    ")\n",
    "original_connections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "ed711477",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26608\n",
      "26607\n"
     ]
    }
   ],
   "source": [
    "print(len(original_connections))\n",
    "print(len(reference_connections))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "744c7284",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{('719.02', '710-739')}"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colored_connections = (\n",
    "    original_connections - reference_connections\n",
    "    if len(original_connections) > len(reference_connections)\n",
    "    else reference_connections - original_connections\n",
    ")\n",
    "colored_connections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "e969dc35",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed 1 edges\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{('719.02', '710-739')}"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_colored_connections = set(\n",
    "    [\n",
    "        (\n",
    "            feature_node_mapping.get(_node_name(v[0]), _node_name(v[0])),\n",
    "            feature_node_mapping.get(_node_name(v[1]), _node_name(v[1])),\n",
    "        )\n",
    "        for v in colored_connections\n",
    "    ]\n",
    ")\n",
    "\n",
    "print(\"Removed\", len(final_colored_connections), \"edges\")\n",
    "final_colored_connections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6aa661c6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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