science-impacts-industry

Science Impacts Industry: Investigating the Relationship Between Scientific Advancements and Industrial Funding
https://github.com/haail/science-impacts-industry
Science Score: 44.0%

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Science Impacts Industry: Investigating the Relationship Between Scientific Advancements and Industrial Funding
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Host: GitHub
Owner: HAAIL
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Readme Citation
Temporal Association of Biomedical Research and Small Business Funding

This repository contains code and analyses related to the paper:
"Investigating the Temporal Association of Biomedical Research on Small Business Funding: A Bibliometric and Data Analytic Approach"
Published in IEEE Transactions on Computational Social Systems
Authors: Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi
DOI: 10.1109/TCSS.2024.3466010
BibTeX: ```bibtex @ARTICLE{10716202, author={Khanmohammadi, Reza and Kaur, Simerjot and Smiley, Charese H. and Alhanai, Tuka and Brugere, Ivan and Nourbakhsh, Armineh and Ghassemi, Mohammad M.}, journal={IEEE Transactions on Computational Social Systems}, title={Investigating the Temporal Association of Biomedical Research on Small Business Funding: A Bibliometric and Data Analytic Approach}, year={2024}, volume={}, number={}, pages={1-16}, keywords={Technological innovation;Industries;Business;Market research;Patents;Bibliometrics;Unified modeling language;Resource management;Investment;Annotations;Bibliometric analysis for social innovation;digital transformation in biomedicine;healthcare innovation;innovation ecosystems;science–industry interface}, doi={10.1109/TCSS.2024.3466010} }
Owner

Name: HAAIL
Login: HAAIL
Kind: organization
Email: ghassemi@alum.mit.edu
Location: United States of America
Website: https://labs.ghassemi.xyz
Repositories: 4
Profile: https://github.com/HAAIL
Human Augmentation and Artificial Intelligence Laboratory
Citation (Citation Analysis.ipynb)

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Frequency and Impact Analysis Setup\n",
    "\n",
    "**Methods for Research Question 1**  \n",
    "\n",
    "This section sets up our **Frequency** and **Citation (Impact) Analysis**. We:\n",
    "1. Import core Python libraries (`pandas`, `numpy`, `matplotlib`, etc.).\n",
    "2. Define constants like the start year (`START_YEAR`) and the path to our pickled data structures.\n",
    "3. Prepare the set of years (2010–2021) that will be used in the subsequent analysis.\n",
    "\n",
    "These steps lay the groundwork for measuring the annual volume of scientific papers or SBIR awards (frequency) as well as total citation or funding (impact) for each MeSH term."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tqdm import tqdm\n",
    "import pickle\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy import signal\n",
    "from statsmodels.tsa.stattools import grangercausalitytests\n",
    "\n",
    "PICKLES_ADDRESS = 'pickles/'\n",
    "LAG_DATA_ADDRESS = '../lag_data/'\n",
    "TEMP_ADDRESS = '../temp/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Data Loading and Preprocessing  \n",
    "\n",
    "Here, we load several pickled dictionaries that store:  \n",
    "- **MeSH Hierarchy Info**: Parent-child relationships (`dui2children`), levels (`dui2level`), etc.  \n",
    "- **Frequency Data**: The yearly counts of PubMed papers and SBIR grants for each MeSH term (`dui2pubfreq`, `dui2sbfreq`).  \n",
    "- **Citation Data**: The total citations (for publications) and total funding (for SBIRs) used as impact scores (`dui2pubcit`, `dui2sbcit`).\n",
    "\n",
    "We also filter out terms (`exduis`) that have zero frequency across the entire time window to focus the analysis on relevant topics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dui2children: 29432\n",
      "dui2parents: 29307\n",
      "dui2name: 29307\n",
      "name2dui: 29307\n",
      "dui2level: 29307\n",
      "level2duis: 14\n",
      "dui2trail: 29432\n",
      "dui_intersections: 29307\n",
      "excluded_duis: 723\n",
      "dui2pubfreq: 29307\n",
      "dui2sbfreq: 29307\n",
      "dui2pubfreqchild: 29307\n",
      "dui2sbfreqchild: 29307\n",
      "dui2pubcit: 29307\n",
      "dui2sbcit: 29307\n",
      "dui2pubcitchild: 29307\n",
      "dui2sbcitchild: 29307\n"
     ]
    }
   ],
   "source": [
    "years = [str(year) for year in range(2010, 2022)]\n",
    "START_YEAR, START_YEAR_IDX, SF_TAG = 2010, 0, 'SF10'\n",
    "correlation_lags = list(range(-11 + START_YEAR_IDX, 11 - (START_YEAR_IDX - 1)))\n",
    "print('years:', years)\n",
    "print('correlation_lags:', correlation_lags)\n",
    "\n",
    "with open(PICKLES_ADDRESS + 'dui2children.pkl', 'rb') as handle:\n",
    "    dui2children = pickle.load(handle)\n",
    "    print('dui2children:', len(dui2children))\n",
    "with open(PICKLES_ADDRESS + 'dui2trail_final.pkl', 'rb') as handle:\n",
    "    dui2parents = pickle.load(handle)\n",
    "    print('dui2parents:', len(dui2parents))\n",
    "with open(PICKLES_ADDRESS + 'heading2dui_final.pkl', 'rb') as handle:\n",
    "    dui2name = pickle.load(handle)\n",
    "    print('dui2name:', len(dui2name))\n",
    "with open(PICKLES_ADDRESS + 'dui2header_final.pkl', 'rb') as handle:\n",
    "    name2dui = pickle.load(handle)\n",
    "    print('name2dui:', len(name2dui))\n",
    "with open(PICKLES_ADDRESS + 'dui2level_final.pkl', 'rb') as handle:\n",
    "    dui2level = pickle.load(handle)\n",
    "    print('dui2level:', len(dui2level))\n",
    "with open(PICKLES_ADDRESS + 'level2duis_final.pkl', 'rb') as handle:\n",
    "    level2duis = pickle.load(handle)\n",
    "    print('level2duis:', len(level2duis))\n",
    "with open(PICKLES_ADDRESS + 'dui2trail.pkl', 'rb') as handle:\n",
    "    dui2trail = pickle.load(handle)\n",
    "    print('dui2trail:', len(dui2trail))\n",
    "with open(PICKLES_ADDRESS + 'dui_intersection_final.pkl', 'rb') as handle:\n",
    "    dui_intersections = pickle.load(handle)\n",
    "    print('dui_intersections:', len(dui_intersections))\n",
    "with open(PICKLES_ADDRESS + 'excluded_duis_final.pkl', 'rb') as handle:\n",
    "    excluded_duis = pickle.load(handle)\n",
    "    print('excluded_duis:', len(excluded_duis))\n",
    "with open(PICKLES_ADDRESS + 'dui2pubfreq.pkl', 'rb') as handle:\n",
    "    dui2pubfreq = pickle.load(handle)\n",
    "    print('dui2pubfreq:', len(dui2pubfreq))\n",
    "with open(PICKLES_ADDRESS + 'dui2sbfreq.pkl', 'rb') as handle:\n",
    "    dui2sbfreq = pickle.load(handle)\n",
    "    print('dui2sbfreq:', len(dui2sbfreq))\n",
    "with open(PICKLES_ADDRESS + 'dui2pubfreqchild.pkl', 'rb') as handle:\n",
    "    dui2pubfreqchild = pickle.load(handle)\n",
    "    print('dui2pubfreqchild:', len(dui2pubfreqchild))\n",
    "with open(PICKLES_ADDRESS + 'dui2sbfreqchild.pkl', 'rb') as handle:\n",
    "    dui2sbfreqchild = pickle.load(handle)\n",
    "    print('dui2sbfreqchild:', len(dui2sbfreqchild))\n",
    "with open(TEMP_ADDRESS + 'dui2pubcit.pkl', 'rb') as handle:\n",
    "    dui2pubcit = pickle.load(handle)\n",
    "    print('dui2pubcit:', len(dui2pubcit))\n",
    "with open(TEMP_ADDRESS + 'dui2sbcit.pkl', 'rb') as handle:\n",
    "    dui2sbcit = pickle.load(handle)\n",
    "    print('dui2sbcit:', len(dui2sbcit))\n",
    "with open(TEMP_ADDRESS + 'dui2pubcitchild.pkl', 'rb') as handle:\n",
    "    dui2pubcitchild = pickle.load(handle)\n",
    "    print('dui2pubcitchild:', len(dui2pubcitchild))\n",
    "with open(TEMP_ADDRESS + 'dui2sbcitchild.pkl', 'rb') as handle:\n",
    "    dui2sbcitchild = pickle.load(handle)\n",
    "    print('dui2sbcitchild:', len(dui2sbcitchild))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(29307, 0)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# store all duis that have no frequency at any year of the dui2pubfreq dictionary and store them in a list called exduis\n",
    "exduis = {}\n",
    "for dui in dui2sbfreq:\n",
    "    c = 0\n",
    "    for year in years:\n",
    "        c += len(dui2sbfreq[dui][year])\n",
    "    if c == 0:\n",
    "        exduis[dui] = True\n",
    "    else:\n",
    "        exduis[dui] = False\n",
    "\n",
    "len(exduis), c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10873 DUIs remained.\n"
     ]
    }
   ],
   "source": [
    "# count how many excuis have False and True values\n",
    "c = 0\n",
    "for dui in exduis:\n",
    "    if exduis[dui] == False:\n",
    "        c += 1\n",
    "print(c, 'DUIs remained.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 12/12 [02:09<00:00, 10.80s/it]\n",
      "100%|██████████| 12/12 [00:00<00:00, 14.98it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_pubs_per_year = {}\n",
    "for year in tqdm(years):\n",
    "    pmids_list = []\n",
    "    for dui in dui2pubcit:\n",
    "        if not exduis[dui]:\n",
    "            pmids_list += list(zip(dui2pubfreqchild[dui][year], dui2pubcitchild[dui][year]))\n",
    "    pmids_set = set(pmids_list)\n",
    "    # pmids_set = set([pmid for pmid in pmids_set if pmid[1] is not None])\n",
    "    total_pubs_per_year[year] = np.sum([impact_score for _, impact_score in pmids_set])\n",
    "\n",
    "total_sbirs_per_year = {}\n",
    "for year in tqdm(years):\n",
    "    sbids_list = []\n",
    "    for dui in dui2sbfreq:\n",
    "        if not exduis[dui]:\n",
    "            sbids_list += list(zip(dui2sbfreqchild[dui][year], dui2sbcitchild[dui][year]))\n",
    "    sbids_set = set(sbids_list)\n",
    "    # sbids_set = set([sbid for sbid in sbids_set if sbid[1] is not None])\n",
    "    total_sbirs_per_year[year] = np.sum([impact_score for _, impact_score in sbids_set])\n",
    "\n",
    "\n",
    "fig, axs = plt.subplots(1, 2, figsize=(10, 5))\n",
    "axs[0].plot(total_pubs_per_year.keys(), total_pubs_per_year.values())\n",
    "axs[0].set_xlabel('Year')\n",
    "axs[0].set_ylabel('Number of Publications')\n",
    "axs[0].set_title('Number of Publications per Year')\n",
    "axs[1].plot(total_sbirs_per_year.keys(), total_sbirs_per_year.values())\n",
    "axs[1].set_xlabel('Year')\n",
    "axs[1].set_ylabel('Number of SBIRs')\n",
    "axs[1].set_title('Number of SBIRs per Year')\n",
    "\n",
    "for ax in axs:\n",
    "    for tick in ax.get_xticklabels():\n",
    "        tick.set_rotation(45)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Frequency and Citation Signal Computation\n",
    "\n",
    "**Frequency & Impact Representations**  \n",
    "\n",
    "1. **Frequency Representation**  \n",
    "   - We compute the annual proportion of PubMed papers or SBIR grants for each MeSH term compared to the total in that year.  \n",
    "   - This aligns with Equations (1)–(3) in the paper, where we normalize to capture relative frequency.\n",
    "\n",
    "2. **Citation (Impact) Representation**  \n",
    "   - We sum the citation or funding “impact scores” per MeSH term and normalize relative to the total in that year.  \n",
    "   - This corresponds to Equation (4), representing each term’s share of the citation/funding “budget.”\n",
    "\n",
    "By computing these signals (`dui2pubCitSigProp` / `dui2sbCitSigProp`), we obtain time series that express how important or prominent a MeSH topic is year by year, both in quantity (frequency) and in significance (impact)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29307/29307 [00:08<00:00, 3472.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "c: 0\n",
      "dui2pubCitSigProp: 10873\n",
      "dui2sbCitSigProp: 10873\n"
     ]
    }
   ],
   "source": [
    "c = 0\n",
    "dui2pubCitSigProp = {}\n",
    "dui2sbCitSigProp = {}\n",
    "for dui in tqdm(dui2pubcit):\n",
    "    if not exduis[dui]:\n",
    "        dui2pubCitSigProp[dui] = []\n",
    "        dui2sbCitSigProp[dui] = []\n",
    "        for year in years[START_YEAR_IDX:]:\n",
    "            try:\n",
    "                #remove those element from dui2pubcit[dui][year] that are None\n",
    "                numerator = np.sum([impact_score for impact_score in dui2pubcit[dui][year] if impact_score is not None])\n",
    "                dui2pubCitSigProp[dui].append(np.sum(numerator) / total_pubs_per_year[year])\n",
    "            except KeyError:\n",
    "                c += 1\n",
    "            try:\n",
    "                numerator = np.sum([impact_score for impact_score in dui2sbcit[dui][year] if impact_score is not None])\n",
    "                dui2sbCitSigProp[dui].append(np.sum(numerator) / total_sbirs_per_year[year])\n",
    "            except KeyError:\n",
    "                c += 1\n",
    "\n",
    "print('c:', c)\n",
    "print('dui2pubCitSigProp:', len(dui2pubCitSigProp))\n",
    "print('dui2sbCitSigProp:', len(dui2sbCitSigProp))\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2pubCitSigProp_sbCit.pkl', 'wb') as handle:\n",
    "    pickle.dump(dui2pubCitSigProp, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2sbCitSigProp_sbCit.pkl', 'wb') as handle:\n",
    "    pickle.dump(dui2sbCitSigProp, handle, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29307/29307 [00:23<00:00, 1240.82it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "d: 0\n",
      "dui2pubCitSigPropchild: 10873\n",
      "dui2sbCitSigPropchild: 10873\n"
     ]
    }
   ],
   "source": [
    "d = 0\n",
    "dui2pubCitSigPropchild = {}\n",
    "dui2sbCitSigPropchild = {}\n",
    "for dui in tqdm(dui2pubcitchild):\n",
    "    if not exduis[dui]:\n",
    "        dui2pubCitSigPropchild[dui] = []\n",
    "        dui2sbCitSigPropchild[dui] = []\n",
    "        for year in years[START_YEAR_IDX:]:\n",
    "            try:\n",
    "                numerator = np.sum([impact_score for impact_score in dui2pubcitchild[dui][year] if impact_score is not None])\n",
    "                dui2pubCitSigPropchild[dui].append(np.sum(numerator) / total_pubs_per_year[year])\n",
    "            except KeyError:\n",
    "                d += 1\n",
    "            try:\n",
    "                numerator = np.sum([impact_score for impact_score in dui2sbcitchild[dui][year] if impact_score is not None])\n",
    "                dui2sbCitSigPropchild[dui].append(np.sum(numerator) / total_sbirs_per_year[year])\n",
    "            except KeyError:\n",
    "                d += 1\n",
    "\n",
    "print('d:', d)\n",
    "print('dui2pubCitSigPropchild:', len(dui2pubCitSigPropchild))\n",
    "print('dui2sbCitSigPropchild:', len(dui2sbCitSigPropchild))\n",
    "\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2pubCitSigPropchild_sbCit.pkl', 'wb') as handle:\n",
    "    pickle.dump(dui2pubCitSigPropchild, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2sbCitSigPropchild_sbCit.pkl', 'wb') as handle:\n",
    "    pickle.dump(dui2sbCitSigPropchild, handle, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dui2pubCitSigProp: 10873\n",
      "dui2sbCitSigProp: 10873\n",
      "dui2pubCitSigPropchild: 10873\n",
      "dui2sbCitSigPropchild: 10873\n"
     ]
    }
   ],
   "source": [
    "# read the pickles\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2pubCitSigProp_sbCit.pkl', 'rb') as handle:\n",
    "    dui2pubCitSigProp = pickle.load(handle)\n",
    "    print('dui2pubCitSigProp:', len(dui2pubCitSigProp))\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2sbCitSigProp_sbCit.pkl', 'rb') as handle:\n",
    "    dui2sbCitSigProp = pickle.load(handle)\n",
    "    print('dui2sbCitSigProp:', len(dui2sbCitSigProp))\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2pubCitSigPropchild_sbCit.pkl', 'rb') as handle:\n",
    "    dui2pubCitSigPropchild = pickle.load(handle)\n",
    "    print('dui2pubCitSigPropchild:', len(dui2pubCitSigPropchild))\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2sbCitSigPropchild_sbCit.pkl', 'rb') as handle:\n",
    "    dui2sbCitSigPropchild = pickle.load(handle)\n",
    "    print('dui2sbCitSigPropchild:', len(dui2sbCitSigPropchild))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D000077321 Deep Learning\n",
      "dui2pubCitSigProp[sample_dui] [1.7132225984768382e-05, 1.8441130738171477e-05, 2.4077207578969896e-05, 2.5136543800637043e-05, 2.568452262706113e-05, 3.171225008985137e-05, 4.276100150847069e-05, 0.00015514392034446446, 0.0010418816449080947, 0.0021137572846120158, 0.002511722428838308, 0.003491068166568366]\n",
      "dui2sbCitSigProp[sample_dui] [0.0, 0.00021442355800157243, 0.0007498359733808229, 0.0005927243091057272, 0.0004985044865403788, 0.0011694297310311619, 0.002267438391312131, 0.0046194991490396305, 0.00861556743909685, 0.013812936073920423, 0.015343004671748218, 0.011438359949162844]\n",
      "dui2pubCitSigPropchild[sample_dui] [1.7132225984768382e-05, 1.8441130738171477e-05, 2.4077207578969896e-05, 2.5136543800637043e-05, 2.568452262706113e-05, 3.171225008985137e-05, 4.276100150847069e-05, 0.00015514392034446446, 0.0010418816449080947, 0.0021137572846120158, 0.002511722428838308, 0.003491068166568366]\n",
      "dui2sbCitSigPropchild[sample_dui] [0.0, 0.00021442355800157243, 0.0007498359733808229, 0.0005927243091057272, 0.0004985044865403788, 0.0011694297310311619, 0.002267438391312131, 0.0046194991490396305, 0.00861556743909685, 0.013812936073920423, 0.015343004671748218, 0.011438359949162844]\n"
     ]
    }
   ],
   "source": [
    "sample_dui = 'D000077321'\n",
    "sample_name = dui2name[sample_dui]\n",
    "\n",
    "print(sample_dui, sample_name)\n",
    "print('dui2pubCitSigProp[sample_dui]', dui2pubCitSigProp[sample_dui])\n",
    "print('dui2sbCitSigProp[sample_dui]', dui2sbCitSigProp[sample_dui])\n",
    "print('dui2pubCitSigPropchild[sample_dui]', dui2pubCitSigPropchild[sample_dui])\n",
    "print('dui2sbCitSigPropchild[sample_dui]', dui2sbCitSigPropchild[sample_dui])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D000077321 Deep Learning\n",
      "dui2pubCitSigProp[sample_dui] [1.7132225984768382e-05, 1.8441130738171477e-05, 2.4077207578969896e-05, 2.5136543800637043e-05, 2.568452262706113e-05, 3.171225008985137e-05, 4.276100150847069e-05, 0.00015514392034446446, 0.0010418816449080947, 0.0021137572846120158, 0.002511722428838308, 0.003491068166568366]\n",
      "dui2sbCitSigProp[sample_dui] [0.0, 0.00021442355800157243, 0.0007498359733808229, 0.0005927243091057272, 0.0004985044865403788, 0.0011694297310311619, 0.002267438391312131, 0.0046194991490396305, 0.00861556743909685, 0.013812936073920423, 0.015343004671748218, 0.011438359949162844]\n",
      "dui2pubCitSigPropchild[sample_dui] [1.7132225984768382e-05, 1.8441130738171477e-05, 2.4077207578969896e-05, 2.5136543800637043e-05, 2.568452262706113e-05, 3.171225008985137e-05, 4.276100150847069e-05, 0.00015514392034446446, 0.0010418816449080947, 0.0021137572846120158, 0.002511722428838308, 0.003491068166568366]\n",
      "dui2sbCitSigPropchild[sample_dui] [0.0, 0.00021442355800157243, 0.0007498359733808229, 0.0005927243091057272, 0.0004985044865403788, 0.0011694297310311619, 0.002267438391312131, 0.0046194991490396305, 0.00861556743909685, 0.013812936073920423, 0.015343004671748218, 0.011438359949162844]\n"
     ]
    }
   ],
   "source": [
    "sample_dui = 'D000077321'\n",
    "sample_name = dui2name[sample_dui]\n",
    "\n",
    "print(sample_dui, sample_name)\n",
    "print('dui2pubCitSigProp[sample_dui]', dui2pubCitSigProp[sample_dui])\n",
    "print('dui2sbCitSigProp[sample_dui]', dui2sbCitSigProp[sample_dui])\n",
    "print('dui2pubCitSigPropchild[sample_dui]', dui2pubCitSigPropchild[sample_dui])\n",
    "print('dui2sbCitSigPropchild[sample_dui]', dui2sbCitSigPropchild[sample_dui])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dui2pubCitSigPropScaled 10873\n",
      "dui2sbCitSigPropScaled 10873\n",
      "dui2pubCitSigPropScaledchild 10873\n",
      "dui2sbCitSigPropScaledchild 10873\n"
     ]
    }
   ],
   "source": [
    "#load dui2pubCitSigPropScaled and dui2sbCitSigPropScaled, dui2pubCitSigPropScaledchild and dui2sbCitSigPropScaledchild from data/pickles\n",
    "\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2pubCitSigPropScaled.pickle', 'rb') as f:\n",
    "    dui2pubCitSigPropScaled = pickle.load(f)\n",
    "\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2sbCitSigPropScaled_cVersion.pickle', 'rb') as f:\n",
    "    dui2sbCitSigPropScaled = pickle.load(f)\n",
    "\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2pubCitSigPropScaledchild.pickle', 'rb') as f:\n",
    "    dui2pubCitSigPropScaledchild = pickle.load(f)\n",
    "\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2sbCitSigPropScaledchild_cVersion.pickle', 'rb') as f:\n",
    "    dui2sbCitSigPropScaledchild = pickle.load(f)\n",
    "\n",
    "print('dui2pubCitSigPropScaled', len(dui2pubCitSigPropScaled))\n",
    "print('dui2sbCitSigPropScaled', len(dui2sbCitSigPropScaled))\n",
    "print('dui2pubCitSigPropScaledchild', len(dui2pubCitSigPropScaledchild))\n",
    "print('dui2sbCitSigPropScaledchild', len(dui2sbCitSigPropScaledchild))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# now plot dui2pubCitSigPropChild[sample_dui] and dui2pubFreqSigPropChild[sample_dui] next to each other. specify sbirs with red and publications with blue lines. make the font size of x axis and y axis and the title bigger.\n",
    "fig, ax = plt.subplots(1, 2, figsize=(10, 5))\n",
    "ax[0].plot(years[START_YEAR_IDX:], dui2pubCitSigProp[sample_dui], label='pubCitSigProp')\n",
    "ax[0].plot(years[START_YEAR_IDX:], dui2sbCitSigProp[sample_dui], label='sbFreqSigProp')\n",
    "ax[0].set_title(sample_name)\n",
    "ax[0].set_xlabel('Year')\n",
    "ax[0].set_ylabel('Proportion')\n",
    "ax[0].legend()\n",
    "ax[1].plot(years[START_YEAR_IDX:], dui2pubCitSigPropchild[sample_dui], label='pubCitSigPropChild')\n",
    "ax[1].plot(years[START_YEAR_IDX:], dui2sbCitSigPropchild[sample_dui], label='sbFreqSigPropChild')\n",
    "ax[1].set_title(sample_name)\n",
    "ax[1].set_xlabel('Year')\n",
    "ax[1].set_ylabel('Proportion')\n",
    "ax[1].legend()\n",
    "for a in ax.flat:\n",
    "    for tick in a.get_xticklabels():\n",
    "        tick.set_rotation(45)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 2, figsize=(10, 10))\n",
    "fig.suptitle(str(sample_dui) + ' - ' + sample_name + ' - solo', fontsize=16, fontweight='bold')\n",
    "axs[0, 0].plot(years[START_YEAR_IDX:], dui2pubCitSigProp[sample_dui], color='blue')\n",
    "axs[0, 0].set_xlabel('Year')\n",
    "axs[0, 0].set_ylabel('Number of Publications')\n",
    "axs[0, 0].set_title('Number of Publications per Year')\n",
    "axs[0, 1].plot(years[START_YEAR_IDX:], dui2pubCitSigPropScaled[sample_dui], color='blue')\n",
    "axs[0, 1].set_xlabel('Year')\n",
    "axs[0, 1].set_ylabel('Proportion of Publications')\n",
    "axs[0, 1].set_title('Scaled Proportion of Publications per Year')\n",
    "axs[1, 0].plot(years[START_YEAR_IDX:], dui2sbCitSigProp[sample_dui], color='red')\n",
    "axs[1, 0].set_xlabel('Year')\n",
    "axs[1, 0].set_ylabel('Number of SBIRs')\n",
    "axs[1, 0].set_title('Number of SBIRs per Year')\n",
    "axs[1, 1].plot(years[START_YEAR_IDX:], dui2sbCitSigPropScaled[sample_dui], color='red')\n",
    "axs[1, 1].set_xlabel('Year')\n",
    "axs[1, 1].set_ylabel('Proportion of SBIRs')\n",
    "axs[1, 1].set_title('Scaled Proportion of SBIRs per Year')\n",
    "\n",
    "for ax in axs.flat:\n",
    "    for tick in ax.get_xticklabels():\n",
    "        tick.set_rotation(45)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#draw the same for dui2pubFreqSigchild and dui2pubCitSigPropchild \n",
    "\n",
    "fig, axs = plt.subplots(2, 2, figsize=(10, 10))\n",
    "fig.suptitle(str(sample_dui) + ' - ' + sample_name + ' + children', fontsize=16, fontweight='bold')\n",
    "axs[0, 0].plot(years[START_YEAR_IDX:], dui2pubCitSigPropchild[sample_dui], color='blue')\n",
    "axs[0, 0].set_xlabel('Year')\n",
    "axs[0, 0].set_ylabel('Number of Publications')\n",
    "axs[0, 0].set_title('Number of Publications per Year')\n",
    "axs[0, 1].plot(years[START_YEAR_IDX:], dui2pubCitSigPropScaledchild[sample_dui], color='blue')\n",
    "axs[0, 1].set_xlabel('Year')\n",
    "axs[0, 1].set_ylabel('Proportion of Publications')\n",
    "axs[0, 1].set_title('Scaled Proportion of Publications per Year')\n",
    "axs[1, 0].plot(years[START_YEAR_IDX:], dui2sbCitSigPropchild[sample_dui], color='red')\n",
    "axs[1, 0].set_xlabel('Year')\n",
    "axs[1, 0].set_ylabel('Number of SBIRs')\n",
    "axs[1, 0].set_title('Number of SBIRs per Year')\n",
    "axs[1, 1].plot(years[START_YEAR_IDX:], dui2sbCitSigPropScaledchild[sample_dui], color='red')\n",
    "axs[1, 1].set_xlabel('Year')\n",
    "axs[1, 1].set_ylabel('Proportion of SBIRs')\n",
    "axs[1, 1].set_title('Scaled Proportion of SBIRs per Year')\n",
    "\n",
    "for ax in axs.flat:\n",
    "    for tick in ax.get_xticklabels():\n",
    "        tick.set_rotation(45)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D000069550 Machine Learning 2020\n"
     ]
    }
   ],
   "source": [
    "# ('D000081186', 'Blockchain')\n",
    "# ('D000077321', 'Deep Learning')\n",
    "# ('D012137', 'Respiratory System')\n",
    "# ('D000069550', 'Machine Learning')\n",
    "# ('D019876', 'Sports Equipment')\n",
    "\n",
    "sample_dui = 'D000069550'\n",
    "year = '2020'\n",
    "sample_name = dui2name[sample_dui]\n",
    "print(sample_dui, sample_name, year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5136 [32538625, 33161227, 32079904, 32473122, 32833571, 32079910, 33194024, 31424555, 33521709, 32079917, 32768046, 32768053, 31916093, 32014404, 32047172, 32178250, 33095769, 32243801, 32047210, 32505964, 32702573, 32702574, 32899184, 31916153, 31948926, 32145537, 33554565, 32768133, 32931989, 33489060, 32276658, 32014516, 32309431, 32112826, 33226940, 32932028, 33194173, 32309439, 32997569, 32211144, 32964809, 33226957, 33030350, 32473309, 32407774, 32080093, 32800992, 32375024, 32899326, 32112901, 32112907, 32899346, 32932128, 32801058, 32375076, 32047411, 33358138, 33456445, 32375102, 32997716, 32735577, 33096026, 33227106, 32407907, 35520871, 33358189, 32735604, 32473467, 33292688, 32932240, 32113043, 32637333, 32833958, 33259944, 32080299, 32604588, 33227180, 32735660, 33128875, 32604598, 32702902, 32866745, 32768443, 32604604, 33259973, 32833991, 32080330, 32866762, 32604623, 32604633, 32604635, 32866798, 33489395, 33128961, 32539144, 32604683, 32801298, 32342553, 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32867500, 33457331, 32015547, 32900287, 32539880, 32802027, 33031411, 33129719, 32605433, 32277755, 32834818, 33129741, 33260825, 32474393, 32998684, 32998700, 33260851, 33359160, 33490233, 32933178, 31917370, 32998724, 33260876, 32048461, 32736589, 33490257, 33260881, 32736602, 32245086, 32146784, 32408931, 32179558, 32376173, 33031543, 32441721, 32900480, 32540036, 32343434, 33359249, 33064342, 33031577, 33031579, 32966053, 31851950, 33392050, 31851961, 32966076, 33129927, 33097162, 32605651, 32146913, 32048612, 32474602, 32343541, 33392124, 32802300, 33064458, 32245258, 32376342, 32245275, 32278044, 33031715, 33097268, 31950390, 32638519, 32179774, 33031743, 32278090, 33162830, 32278095, 32966239, 32933477, 32114292, 32933493, 32671356, 32245392, 32245405, 32704168, 32868011, 33064624, 33294004, 32573116, 32409300, 33228504, 31917801, 32048883, 32278261, 32966391, 31917816, 31950592, 33031938, 31393553, 32245523, 32999192, 32114464, 32442152, 32573225, 33228591, 32737082, 33228632, 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'S011341', 'S004280', 'S015185', 'S012349', 'S015932', 'S008799', 'S011022', 'S011986', 'S009008', 'S012421', 'S014692', 'S010959', 'S011273', 'S010671', 'S009294', 'S010502', 'S015050', 'S012726', 'S007733', 'S014402', 'S008854', 'S010697', 'S012148', 'S009361', 'S009674', 'S004408', 'S013503', 'S009476', 'S015711', 'S014732', 'S015651', 'S006658', 'S009443', 'S006039', 'S002980', 'S002041', 'S012676', 'S014360', 'S015357', 'S015931', 'S014992', 'S012147', 'S009291', 'S010979', 'S010557', 'S014111', 'S012115', 'S013654', 'S010807', 'S009432', 'S014458', 'S014253', 'S015699', 'S011873', 'S010653', 'S011534', 'S014410', 'S012674', 'S012554', 'S013914', 'S003108', 'S013234', 'S010967', 'S005024', 'S013407', 'S013319', 'S005372', 'S013316', 'S014107', 'S014081', 'S013448', 'S013685', 'S011194', 'S009530', 'S013657', 'S003798', 'S013190', 'S011221', 'S015641', 'S011606', 'S012534', 'S005624', 'S005035', 'S010789', 'S015199', 'S002447', 'S012054', 'S011847', 'S013748', 'S013452', 'S013279', 'S014083', 'S010174', 'S011972', 'S009839', 'S010788', 'S011832', 'S002543', 'S009360', 'S015190', 'S013040', 'S012043', 'S009326', 'S011885', 'S007679', 'S015600', 'S012109', 'S011967', 'S014077', 'S006402', 'S003741', 'S003101', 'S013370', 'S009500', 'S010669', 'S015227', 'S012231', 'S013599', 'S011052', 'S014468', 'S009408', 'S009579', 'S011778', 'S014997', 'S012811', 'S002210', 'S015040', 'S013945', 'S004404', 'S009129', 'S009887', 'S013413', 'S010978', 'S014516', 'S013220', 'S011918', 'S013340', 'S013414', 'S002580', 'S012014', 'S014456', 'S015674', 'S013746', 'S004781', 'S013662', 'S014838', 'S013956', 'S014330', 'S013794', 'S014788', 'S013382', 'S004758', 'S009370', 'S015255', 'S010480', 'S009749', 'S014840', 'S011656', 'S011989', 'S014114', 'S009133', 'S009265', 'S009560', 'S009727', 'S009071', 'S009780', 'S013961', 'S010543', 'S014635', 'S013663', 'S010849', 'S009252', 'S010981', 'S011798', 'S010593', 'S010465', 'S014245', 'S011975', 'S006970', 'S008782', 'S014303', 'S012139', 'S011247', 'S012452', 'S011147', 'S012771', 'S009171', 'S013779', 'S004785', 'S015601', 'S015774', 'S013672', 'S012666', 'S006665', 'S011218', 'S010251', 'S015114', 'S009135', 'S012086', 'S003571', 'S008798', 'S010936', 'S003568', 'S014433', 'S009441', 'S012591', 'S012769', 'S009127', 'S011833', 'S012924', 'S013291', 'S015991', 'S015466', 'S013393', 'S009649', 'S013091', 'S015575', 'S012395', 'S012578', 'S013505', 'S009297', 'S013455', 'S009654', 'S011995', 'S015666', 'S002848', 'S014613', 'S015455', 'S013655', 'S014219', 'S013667', 'S012959']\n"
     ]
    }
   ],
   "source": [
    "print(len(dui2pubfreq[sample_dui][year]), dui2pubfreq[sample_dui][year])\n",
    "print(len(dui2sbfreq[sample_dui][year]), dui2sbfreq[sample_dui][year])\n",
    "print(len(dui2pubfreqchild[sample_dui][year]), dui2pubfreqchild[sample_dui][year])\n",
    "print(len(dui2sbfreqchild[sample_dui][year]), dui2sbfreqchild[sample_dui][year])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "309.0 [1, 0.5, 1, 0.75, 0.25, 1, 1, 0.75, 0.75, 1, 0.5, 1, 0.5, 0.75, 0.25, 1, 0.75, 0.5, 0.25, 0.75, 1, 0.75, 0.75, 1, 1, 0.75, 0.5, 0.5, 0.25, 0.25, 0.25, 0.25, 0.5, 1, 0.5, 0.75, 0.5, 1, 0.75, 1, 1, 0.5, 1, 0.5, 0.5, 0.75, 0.75, 0.5, 0.5, 0.75, 0.75, 0.5, 0.5, 0.25, 0.5, 0.5, 1, 0.5, 1, 0.5, 0.25, 0.25, 1, 0.5, 0.25, 0.75, 1, 0.75, 0.25, 1, 0.25, 0.25, 0.75, 0.75, 0.25, 0.75, 1, 0.75, 1, 0.5, 0.25, 1, 0.25, 1, 0.5, 1, 0.5, 0.75, 0.5, 0.5, 0.25, 0.25, 0.5, 0.75, 0.5, 0.5, 0.25, 1, 0.25, 0.25, 1, 0.5, 0.75, 0.5, 0.5, 1, 1, 1, 0.5, 0.5, 1, 0.25, 1, 0.25, 0.25, 0.25, 0.5, 0.5, 0.5, 0.5, 0.25, 0.75, 0.25, 0.25, 0.5, 0.5, 0.75, 1, 0.5, 0.5, 1, 1, 0.5, 0.25, 0.25, 0.25, 1, 0.25, 0.25, 0.25, 0.25, 0.75, 0.25, 0.75, 0.5, 0.25, 0.75, 1, 0.75, 1, 0.5, 1, 1, 0.25, 1, 1, 0.25, 1, 0.75, 1, 0.5, 0.5, 0.5, 0.25, 0.5, 0.5, 0.5, 1, 0.25, 0.75, 1, 1, 0.5, 1, 0.5, 1, 0.25, 1, 0.75, 0.5, 1, 0.75, 0.5, 0.25, 0.25, 0.75, 0.5, 0.25, 0.25, 0.75, 0.5, 0.25, 0.5, 0.5, 0.75, 0.5, 1, 0.5, 0.75, 0.75, 0.5, 0.25, 0.75, 0.25, 0.75, 1, 0.75, 1, 1, 0.25, 0.5, 1, 0.75, 1, 0.75, 1, 0.25, 0.5, 1, 0.75, 0.75, 0.75, 0.25, 1, 0.5, 0.25, 0.25, 0.25, 0.25, 0.25, 1, 0.25, 1, 0.25, 0.5, 1, 0.5, 1, 0.25, 0.75, 0.5, 0.75, 0.25, 1, 0.75, 1, 0.75, 1, 0.5, 0.5, 0.5, 0.25, 0.5, 1, 0.75, 1, 0.5, 0.25, 0.5, 1, 0.5, 0.75, 1, 1, 1, 0.25, 0.75, 0.25, 1, 0.75, 0.25, 1, 0.25, 1, 0.25, 0.5, 0.25, 0.5, 0.25, 1, 0.25, 0.5, 0.25, 0.5, 1, 1, 0.25, 0.5, 0.25, 1, 0.75, 1, 0.75, 0.25, 0.25, 0.25, 0.75, 0.25, 0.5, 0.75, 1, 0.5, 0.5, 0.75, 0.5, 0.5, 0.5, 0.25, 0.25, 0.25, 0.5, 0.5, 1, 0.5, 0.75, 0.75, 0.25, 0.5, 1, 0.25, 0.25, 0.25, 0.5, 0.75, 1, 0.25, 0.25, 0.25, 0.5, 1, 0.75, 0.25, 1, 0.25, 0.5, 0.25, 1, 0.75, 0.25, 0.75, 0.75, 1, 0.5, 0.75, 0.75, 0.75, 0.5, 1, 0.75, 1, 0.5, 0.25, 0.5, 0.25, 0.75, 0.5, 0.5, 0.5, 0.75, 0.75, 0.25, 0.75, 0.75, 0.5, 0.25, 0.75, 0.75, 0.5, 0.5, 1, 0.5, 1, 0.75, 0.5, 0.75, 0.25, 0.5, 0.25, 0.5, 0.75, 0.25, 1, 0.25, 0.25, 1, 1, 0.5, 0.5, 1, 1, 0.75, 0.25, 0.5, 1, 0.25, 0.5, 0.25, 1, 0.5, 0.75, 0.25, 1, 0.25, 0.25, 1, 0.25, 0.75, 0.25, 1, 1, 0.5, 0.5, 0.25, 1, 0.25, 0.75, 1, 1, 1, 0.75, 0.75, 0.5, 0.25, 0.75, 1, 1, 0.75, 1, 0.5, 1, 0.25, 0.75, 0.75, 0.5, 0.25, 0.5, 0.75, 0.25, 0.25, 0.25, 0.5, 0.25, 0.5, 0.75, 0.75, 1, 0.5, 0.25, 0.75, 1, 0.5, 0.25, 0.5, 1, 0.75, 1, 1, 1, 0.5, 0.5, 0.25, 0.25, 0.75, 1, 0.75, 1, 0.75, 0.5, 0.75, 1, 0.5, 0.25, 0.25, 1, 0.5, 1, 0.75, 1, 0.5, 0.25, 0.5, 0.25, 0.25, 0.75, 0.75, 1, 0.25, 0.25, 1, 0.5, 1, 0.75, 0.75, 1, 0.25, 0.75, 0.5, 0.25, 0.5, 0.75, 0.25, 0.75, 0.25]\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(dui2pubcit[sample_dui][year]), dui2pubcit[sample_dui][year])\n",
    "print(np.sum(dui2sbcit[sample_dui][year]), dui2sbcit[sample_dui][year])\n",
    "print(np.sum(dui2pubcitchild[sample_dui][year]), dui2pubcitchild[sample_dui][year])\n",
    "print(np.sum(dui2sbcitchild[sample_dui][year]), dui2sbcitchild[sample_dui][year])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.00011939019983135465, 0.00010255067825129504, 0.00012618240268237927, 0.00017260426743104105, 0.00029777993420749, 0.0010938768734696882, 0.0014416566222855832, 0.0019670300432079566, 0.0028926362601441992, 0.0038067890777501385, 0.0043526853494339785, 0.005928402742504556]\n",
      "[0.002247016891368356, 0.0036452004860267314, 0.003374261880213703, 0.005260428243313329, 0.006314390162844799, 0.0074981082754350965, 0.008890745271197565, 0.01349380014587892, 0.023648247177658944, 0.04148595134829342, 0.04991394148020654, 0.047908493120406695]\n",
      "[0.00020933438625138866, 0.0005271464689057798, 0.0007896432337473275, 0.0009044966344262563, 0.001098815983638959, 0.0019203529221076667, 0.0022995492150492763, 0.0030863896810555784, 0.004899469701845059, 0.0067262052890529325, 0.007522175097841755, 0.010116047144770851]\n",
      "[0.002634433596776693, 0.004002573082696019, 0.0045927453369575405, 0.0057049714751426246, 0.006646726487205052, 0.008186008117218133, 0.011217853093860015, 0.01823486506199854, 0.031194295900178252, 0.051291721666980955, 0.06078190312269486, 0.05691551085815329]\n"
     ]
    }
   ],
   "source": [
    "print(dui2pubCitSigProp[sample_dui])\n",
    "print(dui2sbCitSigProp[sample_dui])\n",
    "print(dui2pubCitSigPropchild[sample_dui])\n",
    "print(dui2sbCitSigPropchild[sample_dui])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.002890482180861564, 0.0, 0.004056355048231605, 0.012024608316024114, 0.03351085022465616, 0.1701598640482228, 0.2298558098052101, 0.32003548054316144, 0.47891459500191214, 0.6358277482237512, 0.7295301398504447, 1.0]\n",
      "[0.0, 0.02933236424876838, 0.023648368309234405, 0.06321807790072116, 0.08532904748020749, 0.11016216022663965, 0.13937816289043584, 0.2359452251539665, 0.4489744297726722, 0.8231899749226398, 1.0, 0.9579278844377251]\n",
      "[0.0, 0.0320804781970773, 0.058577336563724575, 0.07017082912564007, 0.08978574619746031, 0.1727130459480473, 0.21098974803729606, 0.29041472836991383, 0.47343002970993586, 0.6578237465497563, 0.7381702578689943, 1.0]\n",
      "[0.0, 0.023528788046563283, 0.0336783656476739, 0.052806044758272684, 0.06900202060624414, 0.09547405184961537, 0.14761466951296, 0.2682908059871504, 0.4911625997872793, 0.8367911530271522, 1.0, 0.9335071277208684]\n"
     ]
    }
   ],
   "source": [
    "print(dui2pubCitSigPropScaled[sample_dui])\n",
    "print(dui2sbCitSigPropScaled[sample_dui])\n",
    "print(dui2pubCitSigPropScaledchild[sample_dui])\n",
    "print(dui2sbCitSigPropScaledchild[sample_dui]) "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Frequency Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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32537842, 32144629, 32275707, 32767227, 32865533, 32865534, 32079104, 33225996, 32341266, 32406817, 32570657, 32406821, 33488167, 32570668, 32570674, 32406838, 32374075, 32374076, 33389884, 33160511, 33160512, 33160516, 32013648, 32570706, 33291608, 32636258, 32210294, 32800121, 32931194, 32210300, 32472446, 32406916, 33029511, 32439699, 33029536, 33357232, 33127862, 33160637, 31980998, 32570824, 33127883, 32931278, 32243153, 32243158, 33553881, 32800219, 33127901, 32865759, 32669156, 32439786, 33422828, 32112116, 33160692, 32144887, 32079359, 32701953, 32701955, 32603655, 33029642, 33127951, 33127965, 32964130, 32570915, 32767522, 32800297, 32046651, 32439869, 33029699, 32439879, 33422928, 32308819, 32308824, 32308832, 32013925, 32374378, 32013930, 32308844, 32046701, 32308851, 32308853, 32145017, 32308857, 32308868, 32308875, 32112271, 32308881, 32308884, 32308890, 32767645, 32112286, 32308894, 32472743, 32898732, 32308909, 32308908, 33652397, 32767663, 32308910, 32472756, 31948473, 32931514, 32046778, 32964284, 32308921, 31948478, 32865987, 32243437, 32669436, 31981309, 33160969, 33095441, 31784736, 33062689, 32243506, 33488690, 33226549, 32866108, 32538428, 32636734, 33128263, 32571208, 32603987, 31981427, 31883134, 32669572, 32800647, 32538509, 32964504, 32604065, 31948711, 33259472, 33259475, 32112598, 32931810, 32276456, 32669685, 32735229]\n",
      "['S002593', 'S011706', 'S016041', 'S011834', 'S010812', 'S012489', 'S014171', 'S013670', 'S012687', 'S013988', 'S015192', 'S009804', 'S014240', 'S014174', 'S013049', 'S014244', 'S014598', 'S012490', 'S009383', 'S004489', 'S014759', 'S014902', 'S015537', 'S007189', 'S004883', 'S015260', 'S014373', 'S012653', 'S014596', 'S011455', 'S010556', 'S009455', 'S011575', 'S021413', 'S014855', 'S012330', 'S005662', 'S009564', 'S011804', 'S014747', 'S009446', 'S012815', 'S010650', 'S004819', 'S015798', 'S011001', 'S011955', 'S009561', 'S015663', 'S013242', 'S008753', 'S008128', 'S004807', 'S013097', 'S010615', 'S012299', 'S009123', 'S015595', 'S012797', 'S014042', 'S010298', 'S009910', 'S010917', 'S015187', 'S013926', 'S011716', 'S010902', 'S012596', 'S014528', 'S011976', 'S009876', 'S014571', 'S012126', 'S014202', 'S015355', 'S009140', 'S011678', 'S007133', 'S012174', 'S003003', 'S002823', 'S014394', 'S013410', 'S012453', 'S014758', 'S006248', 'S015820', 'S003679', 'S014870', 'S012828', 'S013270', 'S014467', 'S010963', 'S003566', 'S010271', 'S015682', 'S003376', 'S013713', 'S013871', 'S013241', 'S010536', 'S009786', 'S013030', 'S009962', 'S012000', 'S013543', 'S010468', 'S026319', 'S009796', 'S009528', 'S015279', 'S013770', 'S009934', 'S011338', 'S009936', 'S009886', 'S012631', 'S011361', 'S013260', 'S009388', 'S013955', 'S014621', 'S011184', 'S015501', 'S009741', 'S012743', 'S015818', 'S015576', 'S010013', 'S010382', 'S010666', 'S012859', 'S012854', 'S014180', 'S012057', 'S009781', 'S011964', 'S013041', 'S006997', 'S012565', 'S010399', 'S012024', 'S003134', 'S010692', 'S009393', 'S010537', 'S011297', 'S011766', 'S012342', 'S012761', 'S012701', 'S009624', 'S006321', 'S015649', 'S010337', 'S014962', 'S009582', 'S009126', 'S011951', 'S001987', 'S010367', 'S011802', 'S013830', 'S006583', 'S012699', 'S010493', 'S009134', 'S013530', 'S013730', 'S010984', 'S015150', 'S015984', 'S015487', 'S010582', 'S007303', 'S011946', 'S010608', 'S003132', 'S013244', 'S010527', 'S009647', 'S009307', 'S012704', 'S006711', 'S012725', 'S010998', 'S014857', 'S011966', 'S011793', 'S012506', 'S012990', 'S005235', 'S010960', 'S013948', 'S014094', 'S006954', 'S014968', 'S012039', 'S013927', 'S008479', 'S010983', 'S013780', 'S010292', 'S014115', 'S014952', 'S009027', 'S015083', 'S012011', 'S014981', 'S014275', 'S013308', 'S005921', 'S010505', 'S006178', 'S013295', 'S009128', 'S010449', 'S015456', 'S011518', 'S009615', 'S009933', 'S008925', 'S011388', 'S016049', 'S013446', 'S015046', 'S009028', 'S010302', 'S011341', 'S004280', 'S015185', 'S012349', 'S008799', 'S011022', 'S009008', 'S012421', 'S014692', 'S010959', 'S011273', 'S009294', 'S007733', 'S014402', 'S009361', 'S004408', 'S013503', 'S009476', 'S015711', 'S014732', 'S015651', 'S006658', 'S006039', 'S002980', 'S012676', 'S014360', 'S014992', 'S012147', 'S009291', 'S014111', 'S012115', 'S013654', 'S010807', 'S009432', 'S014458', 'S014253', 'S015699', 'S011873', 'S010653', 'S011534', 'S014410', 'S012674', 'S012554', 'S013914', 'S003108', 'S010967', 'S005024', 'S013407', 'S013319', 'S005372', 'S014107', 'S013448', 'S013685', 'S011194', 'S009530', 'S013657', 'S013190', 'S011221', 'S015641', 'S011606', 'S012534', 'S005624', 'S010789', 'S015199', 'S002447', 'S012054', 'S011847', 'S013748', 'S013452', 'S014083', 'S011972', 'S009839', 'S010788', 'S011832', 'S002543', 'S009360', 'S015190', 'S013040', 'S012043', 'S009326', 'S007679', 'S015600', 'S012109', 'S011967', 'S014077', 'S003741', 'S003101', 'S013370', 'S009500', 'S015227', 'S012231', 'S013599', 'S011052', 'S014468', 'S009408', 'S009579', 'S011778', 'S014997', 'S002210', 'S015040', 'S013945', 'S004404', 'S009129', 'S009887', 'S013413', 'S010978', 'S014516', 'S013220', 'S011918', 'S013340', 'S013414', 'S002580', 'S014456', 'S013746', 'S004781', 'S013662', 'S014838', 'S013956', 'S014330', 'S013794', 'S014788', 'S013382', 'S004758', 'S009370', 'S010480', 'S009749', 'S014840', 'S011656', 'S014114', 'S009133', 'S009265', 'S009560', 'S009727', 'S009071', 'S009780', 'S010543', 'S014635', 'S013663', 'S010849', 'S009252', 'S010981', 'S011798', 'S010593', 'S010465', 'S011975', 'S008782', 'S014303', 'S012139', 'S011247', 'S012452', 'S011147', 'S012771', 'S009171', 'S015601', 'S015774', 'S013672', 'S012666', 'S011218', 'S010251', 'S015114', 'S012086', 'S003571', 'S008798', 'S003568', 'S014433', 'S009441', 'S012591', 'S012769', 'S009127', 'S011833', 'S012924', 'S013291', 'S015991', 'S009649', 'S013091', 'S015575', 'S012395', 'S012578', 'S009297', 'S013455', 'S009654', 'S011995', 'S015455', 'S013655', 'S014219', 'S013667', 'S012959']\n"
     ]
    }
   ],
   "source": [
    "print(dui2pubfreq['D000069550']['2020'])\n",
    "print(dui2sbfreq['D000069550']['2020'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Humans', 'D006801', '2020'), ('Acrosome', 'D000177', '2020'), ('Semen Analysis', 'D055101', '2020'), ('Algorithms', 'D000465', '2020'), ('Spermatozoa', 'D013094', '2020')]\n"
     ]
    }
   ],
   "source": [
    "tmp = []\n",
    "for dui in dui2pubfreq:\n",
    "    for year in years:\n",
    "        if 33246195 in dui2pubfreq[dui][year]:\n",
    "            tmp.append((dui, year))\n",
    "tmp = [(dui2name[each[0]], each[0], each[1]) for each in tmp]\n",
    "print(tmp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'2010': [],\n",
       " '2011': [],\n",
       " '2012': [],\n",
       " '2013': [],\n",
       " '2014': [],\n",
       " '2015': [],\n",
       " '2016': [],\n",
       " '2017': ['S031663'],\n",
       " '2018': [],\n",
       " '2019': ['S020669'],\n",
       " '2020': ['S011110'],\n",
       " '2021': ['S003784']}"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dui2sbfreq['D055101']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Granger Causality Analysis\n",
    "\n",
    "**Measurement of Trend Causality**  \n",
    "\n",
    "We now apply the **Granger Causality** test to our MeSH term time series. Specifically:\n",
    "- We form pairs of signals `(PubMed, SBIR)` for each MeSH term.\n",
    "- We test if past values of one signal can predict future values of the other, up to a maximum lag of 11 years.\n",
    "\n",
    "A p-value < 0.05 suggests that scientific activity in a given MeSH term (publication frequency/impact) is a statistically significant predictor of subsequent SBIR activity for the same MeSH term, or vice versa."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/10873 [00:00<?, ?it/s]/home/admin/VS Code Projects/JPMC/venv/lib/python3.10/site-packages/statsmodels/tsa/stattools.py:1488: FutureWarning: verbose is deprecated since functions should not print results\n",
      "  warnings.warn(\n",
      "100%|██████████| 10873/10873 [01:59<00:00, 90.79it/s] \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2416\n",
      "saved dui2gcChild\n"
     ]
    }
   ],
   "source": [
    "#calculate the granger causality between two time series for up to 11 lags\n",
    "def granger_causality(x, y, maxlag):\n",
    "    result = grangercausalitytests(np.array([x, y]).T, maxlag=maxlag, verbose=False)\n",
    "    return result\n",
    "\n",
    "#create dui2gc dictionary to store the granger causality p-values for each dui\n",
    "dui2gcChild = {}\n",
    "c = 0\n",
    "for dui in tqdm(dui2pubCitSigPropScaledchild):\n",
    "    sig_a = dui2pubCitSigPropScaledchild[dui]\n",
    "    sig_b = dui2sbCitSigPropScaledchild[dui]\n",
    "    #replace nans with 0s\n",
    "    sig_a = np.nan_to_num(sig_a)\n",
    "    sig_b = np.nan_to_num(sig_b)\n",
    "\n",
    "    #upsample to to make the stretch the length of each signal from 12 to 36\n",
    "    sig_a = np.repeat(sig_a, 3)\n",
    "    sig_b = np.repeat(sig_b, 3)\n",
    "\n",
    "    try:\n",
    "        granger = granger_causality(sig_b, sig_a, 11)\n",
    "        dui2gcChild[dui] = granger\n",
    "    except Exception as e:\n",
    "        if str(type(e)) == \"<class 'statsmodels.tools.sm_exceptions.InfeasibleTestError'>\":\n",
    "            c += 1\n",
    "            dui2gcChild[dui] = None\n",
    "\n",
    "print(c)\n",
    "#save dui2gc dictionary to a pickle file\n",
    "with open(PICKLES_ADDRESS + 'dui2gcchild_imp.pickle', 'wb') as handle:\n",
    "    pickle.dump(dui2gcChild, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "print('saved dui2gcChild')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded dui2gcChild\n"
     ]
    }
   ],
   "source": [
    "#load dui2gc dictionary from pickle file\n",
    "with open(PICKLES_ADDRESS + 'dui2gcchild_imp.pickle', 'rb') as handle:\n",
    "    dui2gcChild = pickle.load(handle)\n",
    "print('loaded dui2gcChild')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "depth: 2\n",
      "len(dui_subset): 58\n",
      "chi2tests_significant_ratio: 0.7759 ± 0.2684\n",
      "lrtests_significant_ratio: 0.7069 ± 0.2447\n",
      "==================================================\n",
      "saved\n",
      "depth: 3\n",
      "len(dui_subset): 853\n",
      "chi2tests_significant_ratio: 0.8066 ± 0.2522\n",
      "lrtests_significant_ratio: 0.7057 ± 0.2225\n",
      "==================================================\n",
      "saved\n",
      "depth: 4\n",
      "len(dui_subset): 2976\n",
      "chi2tests_significant_ratio: 0.7819 ± 0.2457\n",
      "lrtests_significant_ratio: 0.6912 ± 0.2173\n",
      "==================================================\n",
      "saved\n",
      "depth: 5\n",
      "len(dui_subset): 5653\n",
      "chi2tests_significant_ratio: 0.7638 ± 0.2399\n",
      "lrtests_significant_ratio: 0.6777 ± 0.2131\n",
      "==================================================\n",
      "saved\n",
      "depth: 6\n",
      "len(dui_subset): 7880\n",
      "chi2tests_significant_ratio: 0.7473 ± 0.2366\n",
      "lrtests_significant_ratio: 0.6642 ± 0.2107\n",
      "==================================================\n",
      "saved\n",
      "depth: 7\n",
      "len(dui_subset): 9283\n",
      "chi2tests_significant_ratio: 0.7409 ± 0.2345\n",
      "lrtests_significant_ratio: 0.6578 ± 0.2087\n",
      "==================================================\n",
      "saved\n",
      "depth: 8\n",
      "len(dui_subset): 10019\n",
      "chi2tests_significant_ratio: 0.7368 ± 0.2332\n",
      "lrtests_significant_ratio: 0.6547 ± 0.2075\n",
      "==================================================\n",
      "saved\n",
      "depth: 9\n",
      "len(dui_subset): 10491\n",
      "chi2tests_significant_ratio: 0.7332 ± 0.2322\n",
      "lrtests_significant_ratio: 0.6521 ± 0.2066\n",
      "==================================================\n",
      "saved\n",
      "depth: 10\n",
      "len(dui_subset): 10714\n",
      "chi2tests_significant_ratio: 0.7329 ± 0.2322\n",
      "lrtests_significant_ratio: 0.6523 ± 0.2066\n",
      "==================================================\n",
      "saved\n",
      "depth: 11\n",
      "len(dui_subset): 10822\n",
      "chi2tests_significant_ratio: 0.733 ± 0.2322\n",
      "lrtests_significant_ratio: 0.6526 ± 0.2067\n",
      "==================================================\n",
      "saved\n",
      "depth: 12\n",
      "len(dui_subset): 10853\n",
      "chi2tests_significant_ratio: 0.733 ± 0.2321\n",
      "lrtests_significant_ratio: 0.6526 ± 0.2067\n",
      "==================================================\n",
      "saved\n",
      "depth: 13\n",
      "len(dui_subset): 10864\n",
      "chi2tests_significant_ratio: 0.7329 ± 0.2321\n",
      "lrtests_significant_ratio: 0.6526 ± 0.2067\n",
      "==================================================\n",
      "saved\n",
      "depth: 14\n",
      "len(dui_subset): 10873\n",
      "chi2tests_significant_ratio: 0.7329 ± 0.2322\n",
      "lrtests_significant_ratio: 0.6526 ± 0.2067\n",
      "==================================================\n",
      "saved\n"
     ]
    }
   ],
   "source": [
    "max_depth = 13\n",
    "mlag = 11\n",
    "depth_wise_chi2tests_maxlen = []\n",
    "depth_wise_chi2tests_std = []\n",
    "depth_wise_lrtests_maxlen = []\n",
    "depth_wise_lrtests_std = []\n",
    "multi_level_duis = []\n",
    "for depth in range(1, max_depth + 1):\n",
    "    try:\n",
    "        print('depth:', depth + 1)\n",
    "        dui_subset = [dui for level in range(depth + 1) for dui in level2duis[level] if dui in dui2gcChild]\n",
    "        multi_level_duis.append(dui_subset)\n",
    "\n",
    "        print('len(dui_subset):', len(dui_subset))\n",
    "\n",
    "        lag2chi2tests = {}\n",
    "        lag2lrtests = {}\n",
    "        for lag in list(range(1, 12)):\n",
    "            dui_subset_chi2tests = [dui2gcChild[dui][lag][0]['ssr_chi2test'][1] if dui2gcChild[dui] else 1 for dui in dui_subset]\n",
    "            dui_subset_lrtests = [dui2gcChild[dui][lag][0]['lrtest'][1] if dui2gcChild[dui] else 1 for dui in dui_subset]\n",
    "\n",
    "            chi2tests_significant_ratio = len([chi2test for chi2test in dui_subset_chi2tests if chi2test < 0.05]) / len(dui_subset_chi2tests)\n",
    "            lrtests_significant_ratio = len([lrtest for lrtest in dui_subset_lrtests if lrtest < 0.05]) / len(dui_subset_lrtests)\n",
    "\n",
    "            lag2chi2tests[lag] = chi2tests_significant_ratio\n",
    "            lag2lrtests[lag] = lrtests_significant_ratio\n",
    "\n",
    "        depth_wise_chi2tests_maxlen.append(lag2chi2tests[mlag])\n",
    "        depth_wise_chi2tests_std.append(np.std(list(lag2chi2tests.values())))\n",
    "        depth_wise_lrtests_maxlen.append(lag2lrtests[mlag])\n",
    "        depth_wise_lrtests_std.append(np.std(list(lag2lrtests.values())))\n",
    "\n",
    "        print('chi2tests_significant_ratio:', round(depth_wise_chi2tests_maxlen[-1], 4), '±', round(depth_wise_chi2tests_std[-1], 4))\n",
    "        print('lrtests_significant_ratio:', round(depth_wise_lrtests_maxlen[-1], 4), '±', round(depth_wise_lrtests_std[-1], 4))\n",
    "        print('=' * 50)\n",
    "        #save the results to a pickle file\n",
    "        with open(PICKLES_ADDRESS + 'depth_wise_chi2tests_maxlen_imp.pickle', 'wb') as handle:\n",
    "            pickle.dump(depth_wise_chi2tests_maxlen, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "        with open(PICKLES_ADDRESS + 'depth_wise_chi2tests_std_imp.pickle', 'wb') as handle:\n",
    "            pickle.dump(depth_wise_chi2tests_std, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "        with open(PICKLES_ADDRESS + 'depth_wise_lrtests_maxlen_imp.pickle', 'wb') as handle:\n",
    "            pickle.dump(depth_wise_lrtests_maxlen, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "        with open(PICKLES_ADDRESS + 'depth_wise_lrtests_std_imp.pickle', 'wb') as handle:\n",
    "            pickle.dump(depth_wise_lrtests_std, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "        print('saved')\n",
    "\n",
    "    except:\n",
    "        print('=' * 50)\n",
    "        print('depth:', depth)\n",
    "        print('=' * 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len(depth_wise_chi2tests_maxlen): 13\n",
      "len(depth_wise_chi2tests_std): 13\n",
      "len(depth_wise_lrtests_maxlen): 13\n",
      "len(depth_wise_lrtests_std): 13\n",
      "len(depth_wise_chi2tests_maxlen_imp): 13\n",
      "len(depth_wise_chi2tests_std_imp): 13\n",
      "len(depth_wise_lrtests_maxlen_imp): 13\n",
      "len(depth_wise_lrtests_std_imp): 13\n"
     ]
    }
   ],
   "source": [
    "with open(PICKLES_ADDRESS + 'depth_wise_chi2tests_maxlen_freq.pickle', 'rb') as handle:\n",
    "    depth_wise_chi2tests_maxlen_freq = pickle.load(handle)\n",
    "with open(PICKLES_ADDRESS + 'depth_wise_chi2tests_std_freq.pickle', 'rb') as handle:\n",
    "    depth_wise_chi2tests_std_freq = pickle.load(handle)\n",
    "with open(PICKLES_ADDRESS + 'depth_wise_lrtests_maxlen_freq.pickle', 'rb') as handle:\n",
    "    depth_wise_lrtests_maxlen_freq = pickle.load(handle)\n",
    "with open(PICKLES_ADDRESS + 'depth_wise_lrtests_std_freq.pickle', 'rb') as handle:\n",
    "    depth_wise_lrtests_std_freq = pickle.load(handle)\n",
    "\n",
    "with open(PICKLES_ADDRESS + 'depth_wise_chi2tests_maxlen_imp.pickle', 'rb') as handle:\n",
    "    depth_wise_chi2tests_maxlen_imp = pickle.load(handle)\n",
    "with open(PICKLES_ADDRESS + 'depth_wise_chi2tests_std_imp.pickle', 'rb') as handle:\n",
    "    depth_wise_chi2tests_std_imp = pickle.load(handle)\n",
    "with open(PICKLES_ADDRESS + 'depth_wise_lrtests_maxlen_imp.pickle', 'rb') as handle:\n",
    "    depth_wise_lrtests_maxlen_imp = pickle.load(handle)\n",
    "with open(PICKLES_ADDRESS + 'depth_wise_lrtests_std_imp.pickle', 'rb') as handle:\n",
    "    depth_wise_lrtests_std_imp = pickle.load(handle)\n",
    "\n",
    "#make them all numpy arrays\n",
    "depth_wise_chi2tests_maxlen_freq = np.array(depth_wise_chi2tests_maxlen_freq) * 100\n",
    "depth_wise_chi2tests_std_freq = np.array(depth_wise_chi2tests_std_freq) * 100\n",
    "depth_wise_lrtests_maxlen_freq = np.array(depth_wise_lrtests_maxlen_freq) * 100\n",
    "depth_wise_lrtests_std_freq = np.array(depth_wise_lrtests_std_freq) * 100\n",
    "\n",
    "depth_wise_chi2tests_maxlen_imp = np.array(depth_wise_chi2tests_maxlen_imp) * 100\n",
    "depth_wise_chi2tests_std_imp = np.array(depth_wise_chi2tests_std_imp) * 100\n",
    "depth_wise_lrtests_maxlen_imp = np.array(depth_wise_lrtests_maxlen_imp) * 100\n",
    "depth_wise_lrtests_std_imp = np.array(depth_wise_lrtests_std_imp) * 100\n",
    "\n",
    "print('len(depth_wise_chi2tests_maxlen):', len(depth_wise_chi2tests_maxlen_freq))\n",
    "print('len(depth_wise_chi2tests_std):', len(depth_wise_chi2tests_std_freq))\n",
    "print('len(depth_wise_lrtests_maxlen):', len(depth_wise_lrtests_maxlen_freq))\n",
    "print('len(depth_wise_lrtests_std):', len(depth_wise_lrtests_std_freq))\n",
    "\n",
    "print('len(depth_wise_chi2tests_maxlen_imp):', len(depth_wise_chi2tests_maxlen_imp))\n",
    "print('len(depth_wise_chi2tests_std_imp):', len(depth_wise_chi2tests_std_imp))\n",
    "print('len(depth_wise_lrtests_maxlen_imp):', len(depth_wise_lrtests_maxlen_imp))\n",
    "print('len(depth_wise_lrtests_std_imp):', len(depth_wise_lrtests_std_imp))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "lrtest_freq_error_max = np.minimum(depth_wise_lrtests_maxlen_freq + depth_wise_chi2tests_std_freq, 99.9) - depth_wise_lrtests_maxlen_freq\n",
    "chi2tests_freq_error_max = np.minimum(depth_wise_chi2tests_maxlen_freq + depth_wise_chi2tests_std_freq, 99.9) - depth_wise_chi2tests_maxlen_freq\n",
    "lrtest_imp_error_max = np.minimum(depth_wise_lrtests_maxlen_imp + depth_wise_chi2tests_std_imp, 99.9) - depth_wise_lrtests_maxlen_imp\n",
    "chi2tests_imp_error_max = np.minimum(depth_wise_chi2tests_maxlen_imp + depth_wise_chi2tests_std_imp, 99.9) - depth_wise_chi2tests_maxlen_imp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = ['Depth ' + str(each + 1) + '\\n' + str(len(multi_level_duis[each])) + ' terms' for each in range(len(depth_wise_chi2tests_maxlen_freq))]\n",
    "\n",
    "fig = plt.figure(figsize=(20, 4))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.axhline(y=50, color='salmon', linestyle='--')\n",
    "line2, = ax.plot(x, depth_wise_chi2tests_maxlen_freq, marker='o', color='teal', linewidth=2.5, markersize=8, label='Frequency Analysis')\n",
    "ax.errorbar(x, depth_wise_chi2tests_maxlen_freq, yerr=[depth_wise_chi2tests_std_freq, chi2tests_freq_error_max], fmt='o', ecolor='teal', elinewidth=2, capsize=10, color='teal')\n",
    "line4, = ax.plot(x, depth_wise_chi2tests_maxlen_imp, marker='o', color='navy', linewidth=2.5, markersize=8, label='Impact Analysis')\n",
    "ax.errorbar(x, depth_wise_chi2tests_maxlen_imp, yerr=[depth_wise_chi2tests_std_imp, chi2tests_imp_error_max], fmt='o', ecolor='navy', elinewidth=2, capsize=10, color='navy')\n",
    "\n",
    "ax.grid(True)  # Add gridlines\n",
    "ax.set_ylabel('Percentage of terms with \\n p-value < 0.05', fontsize=15, weight='bold')\n",
    "ax.set_xticks(range(len(x)))\n",
    "ax.set_xticklabels(x, rotation=20, fontsize=13, weight='bold')\n",
    "ax.set_yticks(range(50, 101, 5))  # Set y-axis ticks from 50 to 100 in steps of 10\n",
    "\n",
    "# # Add annotations for the first line\n",
    "# for i, val in enumerate(max_window_imp_percents):\n",
    "#     val_formatted = '{:.2f}'.format(val)\n",
    "#     ax.annotate(f'{val_formatted}', (i, val), textcoords=\"offset points\", xytext=(30, 15), ha='center', fontsize=14, color='black')\n",
    "\n",
    "# # Add annotations for the second line\n",
    "# for i, val in enumerate(max_window_freq_percents):\n",
    "#     val_formatted = '{:.2f}'.format(val)\n",
    "#     ax.annotate(f'{val_formatted}', (i, val), textcoords=\"offset points\", xytext=(30, 15), ha='center', fontsize=14, color='black')\n",
    "\n",
    "plt.legend(loc='upper center', fontsize='large', bbox_to_anchor=(0.5, 1.15), ncol=4)  # Add legend\n",
    "plt.savefig('impact_vs_freq_granger_causality.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Cross-Correlation and CCAUC Ratio\n",
    "\n",
    "**Cross-Correlation Area Under the Curve**  \n",
    "\n",
    "1. We compute the **cross-correlation** between the scaled scientific signal (pub/frequency) and the SBIR signal (sb/frequency) for each MeSH term.  \n",
    "2. We identify the **maximum correlation lag** and measure the area under the curve on both sides of zero-lag.  \n",
    "3. As described in Equations (6)–(7) of the paper, the **CCAUC ratio** indicates whether the industrial signal more likely lags the scientific signal (`>1`), or leads it (`<1`).\n",
    "\n",
    "This analysis helps us observe how the frequency or impact of scientific publications might precede or follow SBIR funding trends over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 10873/10873 [00:00<00:00, 17227.97it/s]\n",
      "100%|██████████| 10873/10873 [00:00<00:00, 20868.28it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 0\n",
      "0 0\n",
      "0\n",
      "Saved dui2cc and dui2ccchild.\n",
      "len(dui2cc): 10873\n",
      "len(dui2ccchild): 10873\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# create a dui2cc dictionary that maps a dui to a scipy cross correlation between the scaled pub and sbir frequencies\n",
    "a, b, c, d, cnan = 0, 0, 0, 0, 0\n",
    "dui2cc = {}\n",
    "dui2ccchild = {}\n",
    "for dui in tqdm(dui2pubCitSigPropScaled):\n",
    "    sigA, sigB = dui2pubCitSigPropScaled[dui], dui2sbCitSigPropScaled[dui]\n",
    "    if len(sigA) == 0:\n",
    "        a += 1\n",
    "        continue\n",
    "    if len(sigB) == 0:\n",
    "        b += 1\n",
    "        continue\n",
    "    # if there is a nan, add one to cnan\n",
    "    if np.isnan(sigA).any() or np.isnan(sigB).any():\n",
    "        cnan += 1\n",
    "    sigA = np.nan_to_num(sigA)\n",
    "    sigB = np.nan_to_num(sigB)\n",
    "    corr = signal.correlate(sigB, sigA, mode='full') / len(years)\n",
    "    corr = corr.astype(np.float64)\n",
    "    lags = signal.correlation_lags(len(sigB), len(sigA))\n",
    "    corr /= np.max(corr) + 1e-8\n",
    "    dui2cc[dui] = corr\n",
    "    \n",
    "for dui in tqdm(dui2pubCitSigPropScaledchild):\n",
    "    sigA, sigB = dui2pubCitSigPropScaledchild[dui], dui2sbCitSigPropScaledchild[dui]\n",
    "    if len(sigA) == 0:\n",
    "        c += 1\n",
    "        continue\n",
    "    if len(sigB) == 0:\n",
    "        d += 1\n",
    "        continue\n",
    "    sigA = np.nan_to_num(sigA)\n",
    "    sigB = np.nan_to_num(sigB)\n",
    "    corr = signal.correlate(sigB, sigA, mode='full') / len(years)\n",
    "    corr = corr.astype(np.float64)\n",
    "    lags = signal.correlation_lags(len(sigB), len(sigA))\n",
    "    corr /= np.max(corr) + 1e-8\n",
    "    dui2ccchild[dui] = corr\n",
    "\n",
    "#save the dui2cc and dui2ccchild dictionaries in data/pickle\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2cc_cVersion.pickle', 'wb') as handle:\n",
    "    pickle.dump(dui2cc, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2ccchild_cVersion.pickle', 'wb') as handle:\n",
    "    pickle.dump(dui2ccchild, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "\n",
    "print(a, b)\n",
    "print(c, d)\n",
    "print(cnan)\n",
    "print('Saved dui2cc and dui2ccchild.')\n",
    "print('len(dui2cc):', len(dui2cc))\n",
    "print('len(dui2ccchild):', len(dui2ccchild))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,  -2,  -1,   0,   1,\n",
       "         2,   3,   4,   5,   6,   7,   8,   9,  10,  11])"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(lags), len(dui2cc[sample_dui])\n",
    "lags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded dui2cc and dui2ccchild.\n"
     ]
    }
   ],
   "source": [
    "#load the dui2cc and dui2ccchild dictionaries from data/pickle\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2cc_cVersion.pickle', 'rb') as handle:\n",
    "    dui2cc = pickle.load(handle)\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2ccchild_cVersion.pickle', 'rb') as handle:\n",
    "    dui2ccchild = pickle.load(handle)\n",
    "\n",
    "print('Loaded dui2cc and dui2ccchild.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D055585 Physical Phenomena\n",
      "[0.36626503091763585, 0.0632973551229511, 0.010134181748201519, 0.15958733409719802, 0.1758430927134991, 0.0, 0.22016620221194685, 0.3826907094769477, 0.3612420975707429, 0.30433970611851857, 0.4879272978726701, 1.0]\n",
      "[0.8331179592467542, 1.0, 0.4019594729456746, 0.17822689855680535, 0.08108440265329463, 0.5675751279989806, 0.0, 0.24065683010951347, 0.5906945330448071, 0.4259814858507874, 0.24039417078114517, 0.1760789768121831]\n",
      "[1.0, 0.8181887082880874, 0.8170916246395539, 0.7298431473301374, 0.650544733715649, 0.5854710517059568, 0.45211940968674863, 0.4085623630741506, 0.38324565696263496, 0.1987820474075983, 0.0, 0.26852947936923655]\n",
      "[0.30872086370183655, 1.0, 0.9856651667476102, 0.0, 0.5700711867781971, 0.5291304976775544, 0.4261145409729, 0.18487053708870096, 0.280067171387604, 0.16415649621676773, 0.40287398451562156, 0.40310255077568513]\n"
     ]
    }
   ],
   "source": [
    "# ('D000081186', 'Blockchain')\n",
    "# ('D000077321', 'Deep Learning')\n",
    "# ('D012137', 'Respiratory System')\n",
    "# ('D000069550', 'Machine Learning')\n",
    "# ('D009490', ''Neurosecretory Systems')\n",
    "# ('D019876', 'Sports Equipment')\n",
    "# ('D014612', 'Vaccines')\n",
    "# ('D009369', 'Neoplasms')\n",
    "# ('D009446', 'Neurobiology')\n",
    "\n",
    "sample_dui = 'D055585'\n",
    "sample_name = dui2name[sample_dui]\n",
    "print(sample_dui, sample_name)\n",
    "print(dui2pubCitSigPropScaled[sample_dui])\n",
    "print(dui2sbCitSigPropScaled[sample_dui])\n",
    "print(dui2pubCitSigPropScaledchild[sample_dui])\n",
    "print(dui2sbCitSigPropScaledchild[sample_dui]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10873, 833)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = 0\n",
    "for dui in dui2sbCitSigPropScaled:\n",
    "    if sum(dui2sbCitSigPropScaled[dui]) == 0:\n",
    "        c += 1\n",
    "len(dui2sbCitSigPropScaled), c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "maximum_correlation_lag: 1\n",
      "pos_auc: 4.849293122951601\n",
      "neg_auc: 3.649850780129621\n",
      "ccauc: 1.2579528676377318\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot three plots next to each other, one for dui2pubCitSigPropScaled, one for dui2sbCitSigPropScaled, and one for dui2cc\n",
    "fig, axs = plt.subplots(1, 3, figsize=(15, 5))\n",
    "fig.suptitle(str(sample_dui) + ' - ' + sample_name + ' + children', fontsize=16, fontweight='bold')\n",
    "axs[0].plot(years[START_YEAR_IDX:], dui2pubCitSigPropScaledchild[sample_dui], color='blue')\n",
    "axs[0].set_xlabel('Year')\n",
    "axs[0].set_ylabel('Proportion of Publications')\n",
    "axs[0].set_title('Scaled Proportion of Publications per Year')\n",
    "axs[1].plot(years[START_YEAR_IDX:], dui2sbCitSigPropScaledchild[sample_dui], color='red')\n",
    "axs[1].set_xlabel('Year')\n",
    "axs[1].set_ylabel('Proportion of SBIRs')\n",
    "axs[1].set_title('Scaled Proportion of SBIRs per Year')\n",
    "axs[2].plot(correlation_lags, dui2ccchild[sample_dui], color='green')\n",
    "axs[2].set_xlabel('Year')\n",
    "axs[2].set_ylabel('Cross Correlation')\n",
    "axs[2].set_title('Cross Correlation between Publications and SBIRs signals')\n",
    "\n",
    "# calculate the maximum correlation lag\n",
    "maximum_correlation_lag = correlation_lags[np.argmax(dui2ccchild[sample_dui])]\n",
    "print('maximum_correlation_lag:', maximum_correlation_lag)\n",
    "#calcualte the AUC of the cross-correlation signal\n",
    "zero_index = correlation_lags.index(0)\n",
    "pos_auc = np.trapz(dui2ccchild[sample_dui][zero_index + 1:], dx=1)\n",
    "neg_auc = np.trapz(dui2ccchild[sample_dui][:zero_index], dx=1)\n",
    "ccauc = (pos_auc + 1) / (neg_auc + 1)\n",
    "\n",
    "print('pos_auc:', pos_auc)\n",
    "print('neg_auc:', neg_auc)\n",
    "print('ccauc:', ccauc)\n",
    "\n",
    "for ax in axs.flat:\n",
    "    for tick in ax.get_xticklabels():\n",
    "        tick.set_rotation(45)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 10873/10873 [00:00<00:00, 625853.15it/s]\n",
      "100%|██████████| 10873/10873 [00:00<00:00, 628726.37it/s]\n",
      "100%|██████████| 10873/10873 [00:00<00:00, 92376.23it/s]\n",
      "100%|██████████| 10873/10873 [00:00<00:00, 92878.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len(dui2mcclag): 10873\n",
      "len(dui2mcclagchild): 10873\n",
      "len(dui2aucratio): 10873\n",
      "len(dui2aucratiochild): 10873\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# create dui2mcclag and dui2mcclagchild\n",
    "dui2mcclag = {}\n",
    "dui2mcclagchild = {}\n",
    "dui2aucratio = {}\n",
    "dui2aucratiochild = {}\n",
    "for dui in tqdm(dui2cc):\n",
    "    dui2mcclag[dui] = correlation_lags[np.argmax(dui2cc[dui])]\n",
    "for dui in tqdm(dui2ccchild):\n",
    "    dui2mcclagchild[dui] = correlation_lags[np.argmax(dui2ccchild[dui])]\n",
    "for dui in tqdm(dui2cc):\n",
    "    zero_index = correlation_lags.index(0)\n",
    "    pos_auc = np.trapz(dui2cc[dui][zero_index + 1:], dx=1)\n",
    "    neg_auc = np.trapz(dui2cc[dui][:zero_index], dx=1)\n",
    "    dui2aucratio[dui] = (pos_auc + 1) / (neg_auc + 1)\n",
    "for dui in tqdm(dui2ccchild):\n",
    "    zero_index = correlation_lags.index(0)\n",
    "    pos_auc = np.trapz(dui2ccchild[dui][zero_index:], dx=1)\n",
    "    neg_auc = np.trapz(dui2ccchild[dui][:zero_index], dx=1)\n",
    "    dui2aucratiochild[dui] = (pos_auc + 1) / (neg_auc + 1)\n",
    "\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2mcclag_cVersion.pickle', 'wb') as handle:\n",
    "    pickle.dump(dui2mcclag, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2mcclagchild_cVersion.pickle', 'wb') as handle:\n",
    "    pickle.dump(dui2mcclagchild, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2aucratio_cVersion.pickle', 'wb') as handle:\n",
    "    pickle.dump(dui2aucratio, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2aucratiochild_cVersion.pickle', 'wb') as handle:\n",
    "    pickle.dump(dui2aucratiochild, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "\n",
    "print('len(dui2mcclag):', len(dui2mcclag))\n",
    "print('len(dui2mcclagchild):', len(dui2mcclagchild))\n",
    "print('len(dui2aucratio):', len(dui2aucratio))\n",
    "print('len(dui2aucratiochild):', len(dui2aucratiochild))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len(dui2mcclag): 10873\n",
      "len(dui2mcclagchild): 10873\n",
      "len(dui2aucratio): 10873\n",
      "len(dui2aucratiochild): 10873\n"
     ]
    }
   ],
   "source": [
    "# load dui2mcclag and dui2mcclagchild from data/pickle\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2mcclag_cVersion.pickle', 'rb') as handle:\n",
    "    dui2mcclag = pickle.load(handle)\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2mcclagchild_cVersion.pickle', 'rb') as handle:\n",
    "    dui2mcclagchild = pickle.load(handle)\n",
    "# load dui2aucratio and dui2aucratiochild from data/pickle\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2aucratio_cVersion.pickle', 'rb') as handle:\n",
    "    dui2aucratio = pickle.load(handle)\n",
    "with open(LAG_DATA_ADDRESS + SF_TAG + '/dui2aucratiochild_cVersion.pickle', 'rb') as handle:\n",
    "    dui2aucratiochild = pickle.load(handle)\n",
    "\n",
    "print('len(dui2mcclag):', len(dui2mcclag))\n",
    "print('len(dui2mcclagchild):', len(dui2mcclagchild))\n",
    "print('len(dui2aucratio):', len(dui2aucratio))\n",
    "print('len(dui2aucratiochild):', len(dui2aucratiochild))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "29169"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#select duis from levels 0 to 3 from level1duis\n",
    "depth = 10\n",
    "dui_subset = [dui for level in range(depth + 1) for dui in level2duis[level]]\n",
    "len(dui_subset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a histogram of the maximum correlation lags of duis in dui_subset, then plot it\n",
    "dui_subset_mcclags = [dui2mcclag[dui] for dui in dui_subset if dui in dui2mcclag]\n",
    "plt.hist(dui_subset_mcclags, bins=10)\n",
    "plt.title('Histogram of Maximum Correlation Lags of ' + str(len(dui_subset)) + ' DUIs')\n",
    "plt.xlabel('Maximum Correlation Lag')\n",
    "plt.ylabel('Number of DUIs')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "neg: 2857\n",
      "zero: 1531\n",
      "pos: 6434\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#return the percentage of negative, zero, and positive maximum correlation lags as a circle graph\n",
    "dui_subset_mcclags = [dui2mcclag[dui] for dui in dui_subset if dui in dui2mcclag]\n",
    "neg = len([lag for lag in dui_subset_mcclags if lag < 0])\n",
    "zero = len([lag for lag in dui_subset_mcclags if lag == 0])\n",
    "pos = len([lag for lag in dui_subset_mcclags if lag > 0])\n",
    "print('neg:', neg)\n",
    "print('zero:', zero)\n",
    "print('pos:', pos)\n",
    "\n",
    "labels = 'Negative', 'Zero', 'Positive'\n",
    "sizes = [neg, zero, pos]\n",
    "explode = (0.1, 0, 0)\n",
    "fig1, ax1 = plt.subplots()\n",
    "ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "ax1.axis('equal')\n",
    "fig1.patch.set_facecolor('white')\n",
    "plt.title('Percentage of Negative, Zero, and Positive Maximum Correlation Lags of ' + str(len(dui_subset)) + ' DUIs')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a histogram of the maximum correlation lags of duis in dui_subset, then plot it\n",
    "dui_subset_mcclags = [dui2mcclagchild[dui] for dui in dui_subset if dui in dui2mcclagchild]\n",
    "plt.hist(dui_subset_mcclags, bins=10)\n",
    "plt.title('Histogram of Maximum Correlation Lags of ' + str(len(dui_subset)) + ' DUIs')\n",
    "plt.xlabel('Maximum Correlation Lag')\n",
    "plt.ylabel('Number of DUIs')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "neg: 2747\n",
      "zero: 1661\n",
      "pos: 6414\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#return the percentage of negative, zero, and positive maximum correlation lags as a circle graph\n",
    "dui_subset_mcclags = [dui2mcclagchild[dui] for dui in dui_subset if dui in dui2mcclagchild]\n",
    "neg = len([lag for lag in dui_subset_mcclags if lag < 0])\n",
    "zero = len([lag for lag in dui_subset_mcclags if lag == 0])\n",
    "pos = len([lag for lag in dui_subset_mcclags if lag > 0])\n",
    "print('neg:', neg)\n",
    "print('zero:', zero)\n",
    "print('pos:', pos)\n",
    "\n",
    "labels = 'Negative', 'Zero', 'Positive'\n",
    "sizes = [neg, zero, pos]\n",
    "explode = (0.1, 0, 0)\n",
    "fig1, ax1 = plt.subplots()\n",
    "ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "ax1.axis('equal')\n",
    "fig1.patch.set_facecolor('white')\n",
    "plt.title('Percentage of Negative, Zero, and Positive Maximum Correlation Lags of ' + str(len(dui_subset)) + ' DUIs')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "depth: 1\n",
      "[]\n",
      "len(dui_subset): 0\n",
      "neg: 0 Ratio: 0.0\n",
      "pos: 0 Ratio: 0.0\n",
      "==================================================\n",
      "depth: 2\n",
      "[('D012140', 0.6052384261481696), ('D007254', 2.5454867808651507), ('D002319', 2.089763716563167), ('D055641', 1.158437602536541), ('D018514', 1.2282862503694787), ('D002477', 2.622028881363212), ('D055598', 1.8992564519588713), ('D013812', 2.4690535555414725), ('D009422', 1.0541131751358495), ('D055585', 1.4720634308897114), ('D002318', 0.9303296770961477), ('D013514', 2.2551049032947343), ('D001523', 1.5334406933772482), ('D012137', 0.7083347304856787), ('D014947', 1.4536411258148332), ('D006281', 0.9918694380012921), ('D004364', 1.6506660386475516), ('D008827', 1.0851469749413998), ('D001686', 3.1306477814198432), ('D007154', 2.2193543053345457), ('D056890', 0.8183181450593902), ('D009140', 2.136315474573374), ('D003933', 2.931614522619524), ('D009057', 3.5830824750585526), ('D008660', 2.605404108327808), ('D001685', 2.666594357044024), ('D005128', 0.9032600662928675), ('D009420', 3.252985676702722), ('D008055', 3.693878494776803), ('D000820', 1.1952647767622795), ('D006802', 1.6205413633390204), ('D007287', 1.4093943723899212), ('D004703', 3.2275846585551364), ('D010829', 2.39360113455067), ('D009358', 3.260220327066394), ('D018521', 1.0318883261414256), ('D046911', 1.360481047079802), ('D006571', 3.7345971055214484), ('D045762', 3.8800813042326414), ('D014566', 1.895182313484262), ('D009141', 2.2805771605401364), ('D004864', 1.157796069848798), ('D012679', 3.6353629635470988), ('D014780', 0.5273299185086308), ('D004064', 2.233545726391732), ('D045424', 0.5477626231535915), ('D001419', 2.082496889337677), ('D056226', 2.1648446130217427), ('D010811', 1.839362652583503), ('D006809', 0.92706713043965), ('D009784', 0.6697924567246577), ('D001105', 0.8031854158263195), ('D004493', 0.6913928379810104), ('D002468', 1.8957296394909533), ('D007239', 0.5214131049170656), ('D009369', 0.96878173496396), ('D002241', 2.875070158537992), ('D009930', 2.8320130299116446)]\n",
      "len(dui_subset): 58\n",
      "neg: 14 Ratio: 24.13793103406659\n",
      "pos: 44 Ratio: 75.86206896420929\n",
      "len(dui_subset_single_level): 58\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 3\n",
      "[('D014937', 1.5482283702586324), ('D017741', 1.0), ('D003273', 3.450370918207171), ('D004798', 3.8652695950162337), ('D010919', 4.849789009726566), ('D020878', 5.327905923081244), ('D012586', 0.5692492825960451), ('D008107', 1.4751825322397536), ('D017831', 6.812917037583121), ('D008566', 2.6804402718219738), ('D008962', 1.6992040237580324), ('D006094', 2.044845499430604), ('D000013', 3.855790212442902), ('D004427', 1.883496591725896), ('D009132', 2.928458694170567), ('D006296', 1.0), ('D055442', 0.9492575590553584), ('D000068079', 0.5668063766173999), ('D010106', 4.378872487911309), ('D002384', 1.7549212087113577), ('D036341', 3.9459823287383102), ('D014930', 1.0), ('D002448', 2.883120347279433), ('D003646', 1.9303569375193332), ('D010600', 3.6301302149518357), ('D002454', 3.0531107915062536), ('D000091282', 3.0274322693697577), ('D003711', 0.9787986948452542), ('D014116', 4.724712574561156), ('D064307', 1.2056271980582898), ('D064420', 1.827107894316756), ('D057210', 1.7724131854505933), ('D000071576', 0.18137355645584186), ('D000067390', 4.971636481858059), ('D017057', 1.0), ('D007429', 2.7610346840125453), ('D019069', 2.250964820395514), ('D017975', 0.7176018690574327), ('D055011', 1.1183444088070962), ('D005880', 0.2694814951016384), ('D008026', 3.745162159956426), ('D059408', 1.6403554019871684), ('D015336', 3.5565452732819427), ('D012141', 3.198396199677202), ('D013523', 3.6302614391272923), ('D014783', 1.3611552998842182), ('D000069078', 1.150802916938738), ('D007174', 5.37609865928938), ('D004366', 2.7572926130515922), ('D006803', 1.377083476945022), ('D005241', 0.6709676165753515), ('D006197', 1.110013751036772), ('D005216', 4.206254819579324), ('D018461', 1.88239648481702), ('D002621', 3.9890649286884767), ('D000400', 2.37142123474167), ('D002450', 2.8156805048731433), ('D019966', 3.0982327654002737), ('D004106', 1.3980183997536102), ('D013312', 2.6428670768849143), ('D008657', 4.850688622320052), ('D023061', 1.4348576474763188), ('D015817', 1.4253724423471716), ('D011523', 4.915723663613829), ('D012959', 1.0), ('D020286', 1.664959031982227), ('D000438', 2.2003923639453795), ('D003240', 1.214599003935792), ('D014076', 3.837845629044858), ('D006795', 2.5969695701489277), ('D013559', 3.5036071301816545), ('D019964', 3.074916162134749), ('D000090562', 0.5260423751209381), ('D004602', 0.522806619766667), ('D057229', 1.0), ('D011633', 0.9982251648758804), ('D000078422', 0.50415864457228), ('D066007', 1.2762703867603533), ('D018030', 2.6171259517144896), ('D001525', 0.8633696055569073), ('D000090208', 0.3229998808420427), ('D000068998', 0.9003754614226882), ('D065426', 1.1231065611641629), ('D006818', 1.642764843157334), ('D006865', 1.731230387938672), ('D018675', 6.4283676427130825), ('D012995', 4.1138528872509035), ('D001808', 3.104683104943912), ('D011809', 2.6685202892908473), ('D011232', 3.247850727087593), ('D014652', 1.4681265290801269), ('D006268', 1.0), ('D005716', 1.1905908729200727), ('D004301', 1.927800174835313), ('D001458', 0.6831359829730373), ('D002493', 1.165820118981787), ('D013710', 1.5105703125536671), ('D053685', 2.1535250961282637), ('D013144', 2.261169901273402), ('D013334', 1.0)]\n",
      "len(dui_subset): 853\n",
      "neg: 220 Ratio: 25.791324736194852\n",
      "pos: 633 Ratio: 74.20867526368792\n",
      "len(dui_subset_single_level): 795\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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FJwUzMys4KZiZWcFJwczMCk4KZmZWcFIwM7OCk4KZmRWcFMzMrOCkYGZmBScFMzMrtCwpSNpM0l2SZkqaIemEXL6hpNslPZX/blCa5mRJsyQ9KWmvVsVmZma1tfJKYTHwlYjYGtgJOE7SNsAE4I6IGAXckfvJw8YB2wJ7AxdKWrWF8ZmZWZWWJYWImBsRD+fuBcBMYAQwFrg8j3Y5cEDuHgtcFRGLIuJZYBawY6viMzOz5fVKm4KkkcB7gQeAYRExF1LiADbOo40Ani9NNieXVc/rGElTJE3p6OhoadxmZgNNy5OCpMHANcCJEfF6o1FrlMVyBRETI2J0RIweOnRoT4VpZmY0kRQk7SLpbbn7MEnnSdq8mZlLWo2UEK6IiGtz8TxJw/Pw4cD8XD4H2Kw0+abAC82thpmZ9YRmrhR+Arwp6T3A14C/AD/vbCJJAi4BZkbEeaVBNwLjc/d44IZS+ThJa0jaAhgFPNjUWpiZWY8Y1MQ4iyMiJI0FfhgRl0ga3+lUsAvwaeBRSdNy2deBs4BJko4CngMOBoiIGZImAY+T7lw6LiKWdG11zMysO5pJCgsknQwcBnww3ya6WmcTRcS91G4nANijzjRnAmc2EZOZmbVAM9VHhwCLgKMi4kXSHUFntzQqMzNri06vFHIiOK/U/xxNtCmYmVn/UzcpSFpAjVtCSVVCERHrtiwqMzNri7pJISLW6c1AzMys/RpdKWxYVRTAaxFR6+rBzMxWAo3aFKaSEkH5DqJ18u2ln42I2S2My8zM2qBR9dEWtcolfRy4iPQmUzMzW4l0+d1H+XUVG3c6opmZ9TtdTgr5BXf+xTYzs5VQo4bmL9co3gAYA1zQsojMzKxtGjU0V9+SGsCLwGER8WjrQjIzs3Zp1ND87d4MxMzM2q9h24Ck8ZIelvRG/kyRdHhvBWdmZr2rUZvC4cCJwJeBh0nPK7wPOFsSEeH3H5mZrWQatSl8ATiw6iG1OyV9ArgKvxTPzDoxcsIt7Q6habPP2q/dIfQJjZLCurWeWo6I2ZL8MjxbafSnLy6zVmvUpvD3FRxmZmb9VKMrha0lTa9RLuAdLYrHzMzaqGFS6LUozMysT2j0nMJfejMQMzNrP7/DyMzMCk4KZmZWqJsUJN2R/36/98IxM7N2atTQPFzSh4Axkq5i2V9gIyIebmlkZmbW6xolhW8CE4BNgfOqhgWwe6uCMjOz9mh099HVwNWSTo2I03sxJjMza5NGVwoARMTpksYAH8xFd0fEza0Ny8zM2qHTu48kfQ84AXg8f07IZWZmtpJp5pbU/YCPRMSlEXEpsHcua0jSpZLmS3qsVHaapL9KmpY/+5aGnSxplqQnJe21IitjZmbd0+xzCuuXutdrcprLSAmk2vkRsUP+3AogaRtgHLBtnuZCSas2uRwzM+shnbYpAN8D/iTpLtJtqR8ETu5sooiYLGlkk3GMBa6KiEXAs5JmATsC9zc5vZmZ9YBOrxQi4kpgJ+Da/Nk5Iq7qxjKPlzQ9Vy9tkMtGAM+XxpmTy5Yj6Zj8s6BTOjo6uhGGmZlVa6r6KCLmRsSNEXFDRLzYjeX9BNgS2AGYC5yby1Vj3KgTy8SIGB0Ro4cOHdqNUMzMrFqvvvsoIuZFxJKIWApcTKoignRlsFlp1E2BF3ozNjMz6+WkIGl4qfdAoHJn0o3AOElrSNoCGAU82JuxmZlZJw3NklYBpkfEdl2dsaQrgd2AIZLmAN8CdpO0A6lqaDZwLEBEzJA0ifQcxGLguIhY0tVlmplZ9zRMChGxVNIjkt4eEc91ZcYRcWiN4ksajH8mcGZXlmFmZj2rmVtShwMzJD0IvFEpjIgxLYvKzMzaopmk8O2WR2FmZn1CMy/Eu0fS5sCoiPi9pLUBP21sZrYSauaFeEcDVwM/zUUjgOtbGJOZmbVJM7ekHgfsArwOEBFPARu3MigzM2uPZpLCooj4Z6VH0iDqPG1sZmb9WzNJ4R5JXwfWkvQR4H+Am1oblpmZtUMzSWEC0AE8SnrY7FbglFYGZWZm7dHM3UdLJV0OPECqNnoyIlx9ZGa2Euo0KUjaD7gIeJr0NtMtJB0bEb9pdXBmZta7mnl47VzgwxExC0DSlsAtgJOCma00Rk64pd0hdMnsszr9VeQV0kybwvxKQsieAea3JBozM2urulcKkj6eO2dIuhWYRGpTOBh4qBdiMzOzXtao+mj/Uvc84EO5uwPYYPnRzcysv6ubFCLiyN4MxMzM2q+Zu4+2AL4IjCyP71dnm5mtfJq5++h60o/j3AQsbWk0ZmbWVs0khX9ExI9aHomZmbVdM0nhh5K+BdwGLKoURsTDLYvKzMzaopmksD3waWB33qo+itxvZmYrkWaSwoHAO8qvzzYzs5VTM080PwKs3+I4zMysD2jmSmEY8ISkh1i2TcG3pJqZrWSaSQrfankUZmbWJzTzewr39EYgZmbWfs080byAt36TeXVgNeCNiFi3lYGZmVnva+ZKYZ1yv6QDgB1bFZCZmbVPM3cfLSMirsfPKJiZrZSaqT76eKl3FWA0b1UnNZruUuBjpB/p2S6XbQj8mvRyvdnAJyPi1TzsZOAoYAnwpYj4XVdWxMzMuq+ZK4X9S5+9gAXA2CamuwzYu6psAnBHRIwC7sj9SNoGGAdsm6e5UNKqTSzDzMx6UDNtCiv0uwoRMVnSyKriscBuufty4G7gpFx+VUQsAp6VNIvUbnH/iizbzMxWTKOf4/xmg+kiIk5fgeUNi4i5eQZzJW2cy0cAfyyNNyeXmZlZL2pUffRGjQ+kev+TejgO1Sir2W4h6RhJUyRN6ejo6OEwzMwGtkY/x3lupVvSOsAJwJHAVcC59abrxDxJw/NVwnBgfi6fA2xWGm9T4IU6cU0EJgKMHj260wZvMzNrXsOGZkkbSjoDmE5KIO+LiJMiYn6j6Rq4ERifu8cDN5TKx0laI//85yjgwRVchpmZraBGbQpnAx8nnZVvHxELuzJjSVeSGpWHSJpDeofSWcAkSUcBzwEHA0TEDEmTgMeBxcBxEbGk66tjZmbd0ejuo6+Q3op6CvANqaj2F6mhueFrLiLi0DqD9qgz/pnAmQ2jNTOzlmrUptDlp53NzKx/8xe/mZkVnBTMzKzgpGBmZgUnBTMzKzgpmJlZwUnBzMwKTgpmZlZwUjAzs4KTgpmZFZwUzMys4KRgZmYFJwUzMys4KZiZWcFJwczMCk4KZmZWcFIwM7OCk4KZmRWcFMzMrOCkYGZmBScFMzMrOCmYmVnBScHMzApOCmZmVnBSMDOzgpOCmZkVnBTMzKzgpGBmZgUnBTMzKwxqx0IlzQYWAEuAxRExWtKGwK+BkcBs4JMR8Wo74jMzG6jaeaXw4YjYISJG5/4JwB0RMQq4I/ebmVkv6kvVR2OBy3P35cAB7QvFzGxgaldSCOA2SVMlHZPLhkXEXID8d+NaE0o6RtIUSVM6Ojp6KVwzs4GhLW0KwC4R8YKkjYHbJT3R7IQRMRGYCDB69OhoVYBmZgNRW64UIuKF/Hc+cB2wIzBP0nCA/Hd+O2IzMxvIej0pSHqbpHUq3cBHgceAG4HxebTxwA29HZuZ2UDXjuqjYcB1kirL/1VE/FbSQ8AkSUcBzwEHtyE2M7MBrdeTQkQ8A7ynRvnLwB69HY+Zmb2lL92SamZmbeakYGZmBScFMzMrOCmYmVnBScHMzApOCmZmVnBSMDOzgpOCmZkVnBTMzKzgpGBmZgUnBTMzKzgpmJlZwUnBzMwKTgpmZlZwUjAzs4KTgpmZFZwUzMys4KRgZmYFJwUzMys4KZiZWcFJwczMCk4KZmZWcFIwM7OCk4KZmRWcFMzMrOCkYGZmBScFMzMrOCmYmVmhzyUFSXtLelLSLEkT2h2PmdlA0qeSgqRVgR8D+wDbAIdK2qa9UZmZDRx9KikAOwKzIuKZiPgncBUwts0xmZkNGIPaHUCVEcDzpf45wL+XR5B0DHBM7l0o6cluLG8I8FI3pu9N/SlW6F/xOtbW6U/x9qdY0fe7Fe/m9Qb0taSgGmWxTE/ERGBijyxMmhIRo3tiXq3Wn2KF/hWvY22d/hRvf4oVWhdvX6s+mgNsVurfFHihTbGYmQ04fS0pPASMkrSFpNWBccCNbY7JzGzA6FPVRxGxWNLxwO+AVYFLI2JGCxfZI9VQvaQ/xQr9K17H2jr9Kd7+FCu0KF5FROdjmZnZgNDXqo/MzKyNnBTMzKwwoJOCpNMlTZc0TdJtkjZpd0yNSDpb0hM55uskrd/umOqRdLCkGZKWSuqTt/n1p1eqSLpU0nxJj7U7lmZI2kzSXZJm5uPghHbHVI+kNSU9KOmRHOu32x1TZyStKulPkm7u6XkP6KQAnB0R746IHYCbgW+2OZ7O3A5sFxHvBv4MnNzmeBp5DPg4MLndgdTSD1+pchmwd7uD6ILFwFciYmtgJ+C4Prx9FwG7R8R7gB2AvSXt1N6QOnUCMLMVMx7QSSEiXi/1vo2qB+X6moi4LSIW594/kp7j6JMiYmZEdOdp81brV69UiYjJwCvtjqNZETE3Ih7O3QtIX2Aj2htVbZEszL2r5U+f/S6QtCmwH/CzVsx/QCcFAElnSnoe+BR9/0qh7DPAb9odRD9W65UqffJLq7+TNBJ4L/BAm0OpK1fHTAPmA7dHRJ+NFfgB8DVgaStmvtInBUm/l/RYjc9YgIj4RkRsBlwBHN/eaDuPN4/zDdLl+RXti7S5WPuwTl+pYt0naTBwDXBi1ZV5nxIRS3I18qbAjpK2a3NINUn6GDA/Iqa2ahl96uG1VoiIPZsc9VfALcC3WhhOpzqLV9J44GPAHtHmh0y6sG37Ir9SpcUkrUZKCFdExLXtjqcZEfGapLtJ7Td9sVF/F2CMpH2BNYF1Jf0yIg7rqQWs9FcKjUgaVeodAzzRrliaIWlv4CRgTES82e54+jm/UqWFJAm4BJgZEee1O55GJA2t3MknaS1gT/rod0FEnBwRm0bESNIxe2dPJgQY4EkBOCtXd0wHPkpq0e/LLgDWAW7Pt9Fe1O6A6pF0oKQ5wM7ALZJ+1+6YynKDfeWVKjOBSS1+pUq3SLoSuB94p6Q5ko5qd0yd2AX4NLB7Plan5bPbvmg4cFf+HniI1KbQ47d69hd+zYWZmRUG+pWCmZmVOCmYmVnBScHMzApOCmZmVnBSMDOzgpOCtZSkkPSLUv8gSR0r+nZHSWPa+UZTSatJOkvSU/l25gcl7dOiZc2WNKSTcb5e1X9fDy37MkkH9cS8rH9xUrBWewPYLj8UBPAR4K8rOrOIuDEizuqRyFbM6aT72reLiO2A/UnPjjQlv521bv8KWCYpRMR/dHN+NsA5KVhv+A3prY4AhwJXVgZI2lHSffnd8PdJemcu/7KkS3P39vmsfG1JR0i6IJdfJukn+b39z0j6UP7dgZmSListY2Gp+6DKsGanL027NnA08MWIWAQQEfMiYlIefqikR3Os3y8vX9J3JD0A7Fyj/7B8xTFN0k9rJQpJ10uaqvS+/2Ny2VnAWnm6K8rrquTsHMujkg7J5btJulvS1Uq/zXFFfvq4U5IGS7pD0sN5nuX3cZ2a53e7pCslfbWZeVofFBH++NOyD7AQeDdwNeldLdOA3YCb8/B1gUG5e0/gmty9Cum3GA4EpgC75PIjgAty92WkV16L9Nrr14Ht87RTgR0qMZTiOQi4rCvTl6Z9N/CnOuu5CfAcMJT0TrE7gQPysAA+WRq36Ae2Bm4CVsv9FwKH5+7ZwJDcvWH+uxbpnTwbVa9buR/4BOn3N1YFhuXYhudt/zfSu55WIT0lvWuN9bkMOKiqbBCwbu4eAszK22503q9rka6angK+2u5jz58V+6z0L8Sz9ouI6UqvTz4UuLVq8HrA5UrvoQrSu+yJiKWSjgCmAz+NiD/Umf1NERGSHgXmRcSjAJJmACNJX1aNdHf6ig8Ad0dER57+CuCDwPXAEtKL4SrK/XsA7wceyifsa5Fe31ztS5IOzN2bAaOAlxvEsytwZUQsAeZJuifH+DrwYETMyXFOy+t5bxPrKOC7kj5Iem3zCFLC2RW4ISL+nud5UxPzsj7KScF6y43AOaQz1Y1K5acDd0XEgTlx3F0aNop0pdHoZ1IX5b9LS92V/srxXX6Xy5orMH3FLODtktaJ9MMxZY2qYP6Rv5xr9Qu4PCLq/oqepN1IV1E7R8SbSm/xrF6P5SZrMKy8nkto/nvgU6QrofdHxL8kzc5xNFX9ZP2D2xSst1wKfKdyJl6yHm81PB9RKZS0HvBD0tn2Rt28E2aepK0lrUKqjlohkd5MewnwI6U3qyJpuKTDSD8g8yFJQ3KbwKHAPU3M9g7gIEkb5/ltKGnzqnHWA17NCeFdpJ+3rPiX0iuqq00GDlH68ZihpO34YPNrW9N6pHf5/0vSh4FKnPcC+yv91vFg3mo/sn7IScF6RUTMiYgf1hj0n8D3JP2BVP9dcT5wYUT8GTiK9EbbjVdw8RNIv8F9JzB3BedRcQrQATwu6TFS9VBHRMwl/Wb2XcAjwMMRcUNnM4uIx/M8b1N6S+ftpLr/st8Cg/Lw00k/xVoxEZheaWguuY5U9fYIab2/FhEvdmVFgZ8qvZF1jqT7ST/qNFrSFNJVwxN5HR4iXQk+AlxLagP6WxeXZX2E35JqZt0maXBELMx3aE0Gjon8G83Wv7hNwcx6wkRJ25DaGC53Qui/fKVgZmYFtymYmVnBScHMzApOCmZmVnBSMDOzgpOCmZkV/j94X1kjq8hZvAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 4\n",
      "[('D017563', 1.377503575511202), ('D002627', 3.499354030076232), ('D058728', 0.42092373644878256), ('D003069', 0.6005393003988162), ('D019693', 2.984715069175143), ('D020714', 4.851464540627811), ('D018630', 3.3931205459716516), ('D006019', 1.1720364777835106), ('D054792', 2.2455788963361707), ('D058447', 0.5748091527933228), ('D009681', 2.296221685053618), ('D008262', 2.0129786877545044), ('D063646', 1.932258842644029), ('D005356', 3.978141155813139), ('D008051', 3.9135491443278334), ('D012433', 3.6639733491974873), ('D012151', 1.0317138047668242), ('D010195', 1.762387745497424), ('D021721', 1.5317398498122474), ('D010209', 1.2142677623438114), ('D003617', 6.781070157823339), ('D010778', 0.6295046458783063), ('D057925', 5.004207538166374), ('D055370', 1.3118157700851714), ('D004547', 4.472711918850224), ('D015858', 4.852386880064495), ('D058013', 0.6226553137038351), ('D004741', 2.04555325141768), ('D007448', 2.182968424904782), ('D018846', 3.530357284154548), ('D040441', 1.0), ('D010525', 3.5920668690077147), ('D010490', 3.6425384940893357), ('D003797', 1.0), ('D003082', 2.8535886623791273), ('D003309', 3.1991883527471385), ('D018928', 2.449625968470858), ('D012190', 4.236028090520445), ('D060731', 1.0), ('D001187', 1.9631823410617577), ('D011231', 1.225752162391059), ('D000078602', 0.2425113086803058), ('D015967', 4.402722046887867), ('D055876', 1.4012307345142592), ('D040761', 3.4202235219367974), ('D055587', 1.4391807848451665), ('D013917', 3.1249806194294187), ('D015662', 2.736156959253035), ('D058507', 1.793063036295139), ('D000075682', 2.115091293174687), ('D000080362', 2.660031576434479), ('D015163', 1.360364121160465), ('D006325', 0.9464187099733044), ('D010085', 0.6639559433899248), ('D005160', 1.5909157384307233), ('D000305', 4.171313836463013), ('D016226', 1.2538429754569709), ('D009130', 5.234801183209325), ('D013057', 1.4482940942214697), ('D013814', 2.239871184914404), ('D000073978', 0.7029707062937508), ('D008164', 3.7965880784408927), ('D011871', 0.7054854523360569), ('D004548', 4.31072923945506), ('D011627', 3.868457522859128), ('D013047', 5.284902433916881), ('D010446', 6.195536488420351), ('D003738', 2.920696685765502), ('D005639', 1.0432669999382609), ('D003401', 4.411580035288545), ('D008011', 4.593764809647875), ('D006722', 1.7324516612762328), ('D000077270', 2.5368783097006133), ('D000641', 1.8715202852267039), ('D014131', 1.1204609015430795), ('D004736', 1.0), ('D008128', 0.8721339618690119), ('D004954', 2.143196223810582), ('D014018', 5.751997866488543), ('D001918', 3.363308130894198), ('D052256', 1.6831917894948558), ('D011890', 1.1236414354738655), ('D002352', 3.507960788319736), ('D009041', 1.191635099509086), ('D002999', 2.8908902895742505), ('D005911', 2.3846142699496924), ('D007990', 2.474834709103004), ('D019411', 3.1806661321367296), ('D004750', 2.1517504837784474), ('D023821', 2.10878944060373), ('D011086', 2.145649601023908), ('D000486', 2.1696765750967186), ('D009997', 4.128478918149203), ('D013227', 1.0), ('D064586', 4.417507073232737), ('D053545', 2.437566975685385), ('D012678', 2.3115074313041712), ('D030762', 5.671929734802239), ('D010956', 1.9282917968863889), ('D007519', 3.5417687005402407)]\n",
      "len(dui_subset): 2976\n",
      "neg: 740 Ratio: 24.865591397841108\n",
      "pos: 2236 Ratio: 75.13440860212529\n",
      "len(dui_subset_single_level): 2123\n"
     ]
    },
    {
     "data": {
      "image/png": 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nqXv37qXO+1ahoKCggADQ7t27iajyocDHx4dWrFhxy71/N6vQOQWrVq1CTk4OEhMT8fXXX0Oj0SAxMRG//vor9Hq9+Ni9ezeuXLkijhceHi7+n5ycjKioqFKnn5iYiBEjRojTadGiBeRyOdLT08VhgoODxf89PT3LPNlxw4YN6Nq1K/z8/KDX67F+/XpkZmYCKDyGX7yu4v9nZGTAZDKhY8eOYi2DBg1CRkZGqfNJTU1FRESE+DwiIgJ2u92l7ooYPHgwGjRogO+++86le1nrODU1FX5+fvD09Cx1WRwOB6ZNm4aoqCh4e3sjMjISAMT1UJ5Ro0YhLi4Oqamp2LlzJwRBQM+ePcW6pk6dKtbk5+cHIsLly5crNO3MzEyMHj0aH3zwAbp27VpimefMmeOyzMnJyUhNTS11OW9+DWQyGcLDwytUi8lkwpQpUxAREQFvb2/06tULOTk5Lmfs32q7u3k70mq18Pf3L3N+r7zyCnJycpCWloY1a9YgKipKnE7xEy0jIiLE+n/77TesX78eERERiImJQVxcXLnLVZpx48bh559/BgAsXboUw4cPh6enZ6W3+SIajQZDhgzBrFmzkJmZiXvvvdelf0W2v4kTJyIhIQGDBw9GkyZNypxfUFCQy7xvfl6Zk59vd1r+/v4u7dvNit6TXl5eYrfiryXguu2W1i0xMRF79+512f6XLFmCtLS0EuNVZPu9lczMTFit1hLtV/Fab972AVT6JPOyaiyvDZswYQIGDhyIsWPHIjQ0FK+++ipsNluJeZT3HqqoVatWYdq0adiwYQMCAgIAAEqlEqtWrcK6desQHByMOXPmYMyYMaWeyLd48WJMnDjRpZtGo8GIESPQuXNneHh4YMaMGdizZw9yc3MrXFfRcvj5+QEA5HJ5ifVgs9mgVCpLjKvVarF8+XLMmzcPISEhGDJkSLknON/2Kd/h4eGYMGECcnJyxEd+fj6mTZsmDiMIgsvwFy5cuOW0NmzY4DIts9mM+vXrl1tH8XkAgMViwciRI/HKK68gPT0dOTk5GDx4MOj6zSBDQkKQkpIiDp+cnCz+HxAQAI1Gg5MnT4p15Obm3vKNEBoaisTERPF5UlISFAqFSyNTUbNmzcJ///tfmEwmsVtZ6zgkJATZ2dkuwxdflqVLl2L16tXYsmULcnNzxbOji9bDzevtZnq9HgMGDMAvv/yCpUuX4uGHHxbHCQ8Px7fffutSV0FBAbp3717ucjqdTowbNw733nsvnn/++RL9w8PD8eabb7pM22Qy4eGHHxaHKV77za8BESE5OblC286cOXNw5swZ7N27F3l5edi5c6c4jfKEhIS4rG+TyYSsrKxyx7tZaGgokpOTXU4wS0pKEuvv3LkzVq9ejatXr2L48OEYM2ZMqdMp7/UcMGAAMjMzceTIEfz8888YN24cgMpv88U9+uijmDNnDiZMmFCiX3nbHwA8++yzGDp0KDZu3Ijdu3eXO7+K0Gq1Lu+J0j5Mb1e/fv2wb98+l/ajuNDQUGRnZ8NgMIjdir+WQOmv083tZExMjMv2bzQa8c0335QYr7ztt6xtIiAgAEqlskT7VZH3TWWUVWN5bZhSqcSMGTMQHx+PPXv24I8//sDixYtLzKO891BF/Pnnn3jqqaewdu1atGnTxqVfdHQ0duzYgaysLGzcuBEXL17EPffc4zLM33//jdTUVIwaNarEuMVfh6L/K9LGFFm5ciUCAwPFnyA3aNCgxK9dLl265BLwihs4cCA2b96MK1euoHnz5njqqafKnN9th4JHHnkEa9euxcaNG+FwOGA2m7F9+/ZbvmGGDh2KtLQ0fPbZZ7BYLDAYDNi7dy8A4Omnn8abb74pbqAZGRlYvXp1heoICgpCQkKCuEFYrVZYLBbUq1cPCoUCGzZswKZNm8Thx4wZg++//x6nTp2CyWTCu+++K/aTyWR46qmn8OKLL+Lq1asAClPaxo0bS533ww8/jE8//RSXLl2C0WjEG2+8gdjY2Fue5VqW3r17o02bNvjhhx/EbmWt44iICHTq1AkzZ86E1WpFXFwc1q5dK45rMBigVqvh7+8Pk8mEN954o8R6K+/3yuPGjcPixYvx22+/iR8iQOHr9cEHH+DkyZMAgNzcXJef+vTu3RszZ84sdZozZ85EcnLyLX9y9tRTT2HevHnYu3cviAj5+flYt26dS0Nb3JgxY7Bu3Tps3boVNpsNc+bMgVqtFgPKpEmTbnmWv8FggEajgV6vR3Z2Nt55550y10dxo0aNwh9//IHdu3fDarXi7bffvq0zx7t06QKtVov/+7//g81mw/bt27F27VqMHTsWVqsVS5YsQW5uLpRKJby9vW/5E8PyXk+FQoFRo0bhP//5D7Kzs9G/f38Ald/mi4uJicHmzZtLDXflbX8//vgjDh48iEWLFmHu3LmYOHHiXfmpc7t27bBz504kJSUhNzcXH3zwwR1Ps0i/fv3Es8EPHjwIu90Og8GAefPmYeHChQgPD0f37t3x+uuvw2w249ixY1iwYAHGjx9f4XkMHToUZ8+exY8//gibzQabzYb9+/fj1KlTJYYtb/sta5uQy+UYM2YM3nzzTRgMBiQmJuKTTz65o59322w2mM1m8VG0fm5VY3lt2LZt23D8+HE4HA54e3tDqVSWuv2X9R6qiL/++gvjx4/Hb7/9VuLDHgCOHTsGs9kMk8mE2bNn48qVKyXalB9++AEjR4502UsEAI899hhWrlyJI0eOwGaz4b333kOPHj2g1+vLrSs9PR1ffvkl3nnnHXzwwQfinpDY2FjMmjULKSkpcDqd2LJlC9auXVsikBRNY82aNcjPz4darYZOpyv3Z8p3tKdg9erVeP/991GvXj2Eh4fj448/vmXD6OXlhc2bN2Pt2rUIDg5GkyZNsG3bNgDA1KlT8eCDD2LAgAHw8vJC165dxcBQnqKLUfj7+6NDhw7w8vLC3LlzMWbMGPj6+mLp0qV48MEHxeHvv/9+vPDCC+jTpw8aN26Mbt26AQDUajUA4KOPPkLjxo3RtWtXeHt7o1+/fi6/By/u8ccfx4QJE9CrVy80bNgQHh4e+OKLLyq2Aksxa9YsZGdni8/LW8dLlixBXFwc/P39MX36dMTGxorL8eijjyIiIgL169dHy5YtS+ymf+KJJxAfHw+9Xo/hw4eXWs+DDz6Ic+fOISgoCG3bthW7jxgxAq+99hrGjh0Lb29vtG7dGhs2bBD7Jycnl9idXHwZL168iODg4BLXK0hKSkKnTp0wf/58/Otf/4Kvry8aN25c5s9xmjVrhp9++gnPP/88AgICsHbtWqxduxYqlarcWv7973+joKAAAQEB6Nq1KwYNGnTL+dysVatW+OqrrzBu3DiEhITA19f3tn4brFKpsGbNGnGX5bPPPovFixejefPmAAo/PCMjI+Ht7Y158+bhp59+KnU6r7/+OmbNmgW9Xi/+nOpm48aNw5YtWzB69GiX4FqZbb44QRBw3333ibs1iytr+0tKSsK///1vLF68GDqdDuPGjUOnTp3w4osvljvP8vTv3x+xsbGIjo5Gx44dMXTo0DueZnErVqzA4MGDERsbCx8fH7Ru3RoHDhxAv379AAA///wzEhISEBoaihEjRuCdd94RA1hFeHl5YdOmTVi2bBlCQ0MRHByM1157DRaLpcSw5W2/U6dOxYoVK+Dr64sXXnihxPhffPEFtFotGjVqhB49emDcuHF4/PHHK7lGbhg8eDA0Go34mDlzZrk1ltWGpaWlYdSoUfD29kaLFi0QExNTamgp7z1Unvfeew+5ubkYPHiw2Bbdf//9Yv8ff/wRISEhCAwMxNatW7F582axRgAwm8345ZdfShw6AIC+ffvi/fffx5AhQxAYGIjz589j6dKlZdaj1+uh1WrRpk0brF+/Hr/++qvL6/L222+je/fu6NGjB3x9ffHqq69iyZIlaN26dYlpOZ1OzJkzB6GhofDz88OOHTvw9ddflzl/gSqzH6MWOnXqFFq3bg2LxXJb3/DdSWxsLJo3b16pb7x3W0pKCkaPHn3bx77vJqvVirZt2+LYsWOlHm9jjLkXd2jD6ro6GQpWrlyJIUOGID8/HxMnToRMJsOqVaukLqvS9u/fDz8/PzRs2BCbNm3C8OHDERcXV+rVExljzN1wG+Z+avZX49v07bffYtKkSZDL5YiJiSl3d4q7SktLw0MPPYSsrCyEhYXhm2++4TcTY6zG4DbM/dTJPQWMMcYYK6l234WGMcYYYxXGoYAxxhhjADgUMMYYY+w6DgWMMcYYA8ChgDHGGGPXcShgjDHGGAAOBYwxxhi7jkMBY4wxxgBwKGCMMcbYdRwKGGOMMQaAQwFjjDHGrquTN0RirLbKMVmRnmfBVYMZV/MsuGqwID3PjAyjBRabA3YnweEk2BxOPNO7MWKa1pO6ZMaYG+FQwFgNY3M4cSbNgBOXc3EiNRenrxhwJbfwg99qd1Z4OqM7WqqwSsZYTcShgDE3VhQAjl/OxfHLuThxORen0wyV+vBnjLGK4lDAmJtJzSnA1lPp2HzqKv65mMUBgDFWbTgUMCYxIsKxlFxsPZWOTfHpOJ1mkLokxlgdxaGAMQk4nISdZzOwKT4NW+LTkWG0Sl0SY4xxKGCsOl01mLFsXzKW/JOAdAMHAcaYe+FQwFg1iLuQhe93X8DW0xlwkNTVVMBHDQFLHiBTFD48fACNH+Dpe/2vX+FfbQDgGwn4Ny78K1dKXTlj7A5wKGCsiuSZbVhxIAU//H0Bidfc/+d/BflGHNmzBSCgs80ChdMOOO2FPa1GIO9y2ROQKQB9g8KA4N8YCGgKhHUCAlsCMnnVLwBj7I5xKGDsLssyWvD5ljNYvj8FlhqxW6BQRmoidq//BR6eXmivsEEhVHICTjuQfbHwcW7Tje4qL6B+ByC8CxB+DxDWGdDo72bpjLG7hEMBY3eJ0WLHZ3+ewI/7LsPikLqa26P21MI/uD6EbBlwt/KM1QBc2lH4AAAIhXsPmvQDmgwAwrsCcm6KGHMH/E5k7A5Z7A58t+0s5u24iHy71NXUBARcPVn4+PvzwvMVmgwAmg8FmvQHVFqpC2SszuJQwNhtcjgJS/ZcwKebz+KapeYcJnA75lzg+K+FD4UH0HQQ0H4CENUXkPE92xirThwKGLsNm05cxoxVx3DFyFcbvKvsZiB+VeHDOwxoNw5o/wjgGyF1ZYzVCRwKGKuEzLwC/PunOOxOKpC6lNovLwXY+X/Azo+Bhr2ADo8CLYfz+QeMVSHeN8dYBf20Ix49P9jEgaDaUeFJir89AXzRHtg3H7CZpS6KsVqJIzdj5bhyzYDnFu7GoQwn+C0jsZwkYP0rwI7/A7o9C3R6AvDwlroqxmoN3lPAKkQQBLz88svi89mzZ2PmzJl3fT7vv/++y/Pu3bvf9XlUxg/bTqDP//11PRAwt5F/FdgyE/isNbD1PaDgmtQVMVYrcChgFaJWq/H7778jMzOzSudzcyjYs2dPlc7vVtJzjBg2ez1mbEyEmXjvgNsy5wK7ZgNz2wP/zAMc/JtQxu4EhwJWIQqFApMnT8ann35aol9GRgZGjhyJzp07o3Pnzvj777/F7v3790eHDh0wZcoUREREiKFi+PDh6NixI1q1aoXvvvsOADBt2jQUFBSgXbt2GD9+PABAp9MBAGJjY7F+/XpxnpMmTcJvv/0Gh8OB//znP+jcuTOio6Px7bff3vGybjl0Fvf932YczeSfGdYYBdeAP18DvukGnN0odTWM1VgcCliFPffcc1iyZAlyc3Nduk+dOhUvvvgi9u/fj99++w1PPvkkAOCdd95B3759cejQIYwYMQJJSUniOAsXLsTBgwdx4MABzJ07F1lZWfjwww+h0Whw5MgRLFmyxGUeY8eOxfLlywEAVqsVW7duxeDBg7FgwQL4+Phg//792L9/P+bPn49Lly7d1vI5HA68+9NmTFl+Gkan6ramwSSWeRZYOgZYPBxIj5e6GsZqHN4vyirM29sbjz76KObOnQuNRiN237JlC+LjbzTAeXl5MBgM2L17N1auXAkAGDRoEHx9fcVh5s6dK/ZLTk7GuXPn4O/vf8t533///XjhhRdgsVjw559/olevXtBoNNi0aROOHTuGFStWAAByc3Nx7tw5NGzYsFLLZsw3YfLXG7AnUw0IfPOeGu/iNmBeD6DLFKDvW4DKU+qKGKsROBSwSvn3v/+NDh064LHHHhO7OZ1OxMXFuQQFACAqfff79u3bsWXLFsTFxcHT0xO9e/eG2Vz2T8w8PDzQu3dvbNy4EcuXL8fDDz8szuOLL77AwIEDb3uZLl5Ox6R5O5Bk0wKVvQkQc1/kAP75GjizHnhgLtAoRuqKGHN7fPiAVYqfnx/GjBmDBQsWiN0GDBiAL7/8Unx+5MgRAECPHj3wyy+/AAA2bdqEa9cKzxDPzc2Fr68vPD09cfr0afzzzz/iuEqlEjabrdR5jx07Ft9//z127dolhoCBAwfim2++Ecc5e/Ys8vPzK7w8Ww+cwrAvdhUGAlY7XUsAFj8I/PESYDVJXQ1jbo1DAau0l19+2eVXCHPnzsWBAwcQHR2Nli1bYt68eQCAGTNmYNOmTejQoQM2bNiAkJAQeHl5YdCgQbDb7YiOjsZbb72Frl27itOaPHkyoqOjxRMNixswYAB27tyJfv36QaUqPOb/5JNPomXLlujQoQNat26NKVOmwG4v/wx0p9OJr1buxNO/noEBmnKHZ7XAgQXAvHuB5H1SV8KY2xLoVvt4GbtDFosFcrkcCoUCcXFxeOaZZ8S9CFIyWyx454f1WH5BDmcdPn9gzui2GNkxTHyedO4kVi36DAHB4RiZ/RXUVEuvGijIgb5vAj1eAgQ+XsRYcXxOAasySUlJGDNmDJxOJ1QqFebPny91STAY8/GfeSuxKcMHToF3lNVJ5AC2vgtcPgQM/4aviMhYMRwKWJVp0qQJDh8+LHUZolyDEVO//B07cv1A/A2Rnf4D+O4UMHYJENhC6moYcwv8VYnVCddy8/D83F8LAwH/xIAVyb4AzL8POL5C6koYcwscClitl3UtFy/M/QW7DPU4ELCSbPmFd2DcNB3gU6xYHcehgNVq13Lz8NJXK/B3fhAHAla2PV8Av08GHKX/JJaxuoBDAau1cvIMeP3rX7DLGAgnb+qsIo7/AiyNBawVv9YFY7UJt5SsVsozGDHr25/xV24ABwJWORe2Aj88AORnSV0JY9WOW0tW69hsdnz142/YmOUHK5RSl8NqossHgYUDgZxkqSthrFpxKGC1ChFh2ZqNWJko5ysVsjuTdQ5YOAjISSp/WMZqCQ4FrFbZHncAC/ZexlXBt/yBGStPXgrww4OAIU3qShirFhwKWK0Rf+4i5qyKQ4KsvtSlsNrk2iVg8TA+x4DVCRwKWK1w5WomPli0BqdkDaUuhdVGGaeBn0YA5lypK2GsSnEoYDWeMd+ETxb+gv2OSDh4k2ZV5cpRYMkYvv0yq9W4BWU1mt1ux4JlK7E7xxtm/qUBq2rJ/wC/PAo4HVJXwliV4FDAarSNO+Ow5XQmroBPLGTV5PxmYOMbUlfBWJXgUMBqrKTLV/DLxl04q+DzCFg12zsP2L9A6ioYu+s4FLAayWq1YeHyVTgnbwgLyaUuh9VFG14FEv6WugrG7ioOBaxG+nP73ziQZkeq01vqUlhd5bQDv04Eci9LXQljdw2HAlbjJCSnYsWWPTgrj5C6FFbX5WcAv0wA7FapK2HsruBQwGoUi8WKBctW4qyiEax82IC5g8sHgW2zpK6CsbuCQwGrUdZt3YVjGQ6kOb2kLoWxG/Z8ASTslroKxu4YhwJWY1xMTMG67btxSdlA6lIYc0VOYOXTfMVDVuNxKGA1gtPpxNLV65Glro88B1+kiLmh3GRg3ctSV8HYHeFQwGqEI/FncCE5HWccgVKXwtitHf8VOL5C6ioYu20cCpjbs9ns+PWPTcjwjECBk08uZG5u3UuAIV3qKhi7LQqpC2CsPHEHj+BKthFn5I2qfd72vAxkrvsEDuM1CIIMunYD4d1pmNg/d+/vyNm+EGHPL4Hc06fE+HkHVsN4dCNAgK7tQHh3Lhz32vbvUXDxIFSBDREwtHCXs/HEX3CaDS7TZzWQORfY/Bbw0HdSV8JYpfGeAubWTAVm/P7nX0jVNISNJNhcZXL49nkC9Z+ah+AJs2E4tA7WzCQAhYHBnHAYcu96pY5qzUiA8ehGBD/6CUIe/wIFF/bBln0ZTks+LJdPIfTxL0HkhDUjAU6bBfkntsCr/ZDqXDpWVY4tBxL3SF0FY5XGoYC5tW1x+5FVQDhvkebKhQqdH9TBjQEAMrUnlP7hcBiyAADXts6Hb5/HAAiljmvLSoE6tDlkSg8IMjnU4a1hOhcHQAA57CAikN0KQSZH3r7f4dXxQQhy3nlXa6z/D99NkdU4HAqY28rJM2Ddlp1I9YiE8xYfvNXJnpsOa/pFqEObwXRuL+Re/lAF3vqQhiogAubkE3AU5MFpM6Pg4gE48jIhU3vCs1l3XFn0AhQ+QRDUWlivnIVnk67VuDSsyqWfAPb/T+oqGKsU/lrC3NaGv3bD4pQhwaKVuhQ4rQXIWPk+/O57CpDJkBu3HEGx75U5jjIgHN5dRuHq8rcgKD2gCmwIyApPlPTpMgo+XUYBALI2zIW+5yMwHN0I86XDUAZGQt99bJUvE6sGf/0XaPUQoCv9EBNj7ob3FDC3lJNnwI5/DiBH1wAOifcSkMOOjJXvQ9uyNzybdYc9Jw323HSkLnweKd88DochE1cW/RsO47US43q1HYCQSZ8jePxHkHl4Qekb6tLfmn4BAKDwrY/8E3+h3vBpsGUkwpbNN9mpFSy5wNZ3pK6CsQrjUMDc0r7Dx+EEcKZAJ2kdRISsDZ9D6R8O73tGAABU9SIR/vwShD2zEGHPLITcKwAhkz6DXOdbYnxHfg4AwJ53FaazcfBsGePSP2fXT/DpMb7wjnvkLOwoyEB2S5UuF6tGR38Gsi9KXQVjFcKHD5jbsdns+HPHHph1oTAapd1ELZfjkX9yG5T1IpH6/fMAAN9ej0IT1bnU4e2GLGT9ORdBowu/HWaseh/OAgMgk8Ov/9OQe9wIOaazcVAFN4HCyx8AoA5tjtQFz0EZGFnmuQqshnHagZ2zgeFfS10JY+USiIikLoKx4o7Gn8VXPyzDCXVrpFrVUpdTa80Z3RYjO4aJz5POncSqRZ8hIDgcI7O/gprMElZXy8gUwL/2A34c9ph748MHzK0QEf7c/jdIo0eqVSV1OYzdHUV7CxhzcxwKmFu5nHYV5xOScFkWhFv9/p+xGunYcj63gLk9DgXMrezcewiCXIVzBZ5Sl8LY3eW0AzvnSF0FY2XiUMDchjHfhF37DsHiFSLNJY0Zq2rHfwGMV6WugrFb4paXuY3DJ0/DYXcgxSb9xYoYqxIOK3Dge6mrYOyWOBQwt7Fn/xHodDokmz2kLoWxqnNgIeCwSV0FY6XiUMDcQq7BiAtJKTB5+MPKhw5YbWZMA06vk7oKxkrFrS9zC2cvJAAAEs0aaQthrDocXCR1BYyVikMBcwv7jpyAp8YDSXzogNUFF7cD1xKkroKxEjgUMMmZLRacOHsBDk9/5DvlUpfDWDUg4MjPUhfBWAkcCpjkzickw+l0ItnKvzpgdUj8KqkrYKwEDgVMcoeOn4JSqeBDB6xuyTgNZJyRugrGXHAoYJKy2+04cCweXt56XLPzTTtZHRO/WuoKGHPBoYBJKjk1HRarFbnwBPG9Dlhdw6GAuRkOBUxSyVfSQETItCmlLoWx6pd+Asi6IHUVjIk4FDBJnbmQAI2HBzL4NsmsruK9BcyNcChgkjp3KQleOk9k8J4CVled3yp1BYyJOBQwyeQZjMjJM8Ap94DRwScZsjoqZT9gM0tdBWMAOBQwCV25mglBEJBl50MHrA5zWIDLB6SugjEAHAqYhJJT0wACHzpgLGG31BUwBoBDAZPQ6QsJ8PTU8EmGjHEoYG6CQwGTBBHhfEISvLSeMDj4fgesjkvZD9gtUlfBGIcCJo2cPAMKzBaoVEqYOBSwus5uBi4flLoKxjgUMGnkGYwQBAE2pwAr8WbIGK4ck7oCxjgUMGnkGfMBIuQ7eRNkDABwNV7qChjjUMCkYTDmw0mEfD50wFihq6ekroAxDgVMGpnZOZDL5Xw+AWNF+DbKzA1wKGCSyMjOhkql5D0FjBWx5AK5KVJXweo4DgVMEhnZOVCrVBwKGCuODyEwiXEoYJLIvpYLlVIJE59oyNgNHAqYxLhFZtXO6XQi12CESqmAhUMBYzfkJktdAavjuEVm1c6YbwIAyGQyOEmQuBrG3EheqtQVsDqOQwGrdharDYJQGAYcEtfCmFvhUMAkxqGAVTuH04mi/QO8p4CxYozpUlfA6jiF1AWwusdut4v/h6ot8FHYQUDh43pIKP686H+U0o0A4KbnpU6ntGmVMp7rtDiwsGqWnyl1BayO41DAqp3T6QSuHz7o5pMncTVlI7opkOA2Q8nN45TSrawgg1tMp2j+zlJqBHCj+/XxnE6CwWTCsIF90SbM5y6sIXZXOSyAOQ/w8Ja6ElZHcShg1U6tVkEulyE5Na3M4QRAPPfgZlRqV9z4bl80HtGN4alogOv/uHQkl3GIbnQvdV5U1OfGuML1CoomU1S7UNSvxF9AHKvof6HY8OK0Splm0bBF3cRxiq2z4tO83pdkBIPMiKdjom6xBpnkTFkcCphkOBSwahcU4I/Z01+C01n44et0OkFE17/hUrFHsee40U0cvugDv5xxiuZzo/vN4xQbDyWHRwXGcTiccDqvP4hAToKTiv53wlms7qLhHE4CkbPYerj+nIq6A05yFk7LWXxarsvlpOvTvT5fIoLj+jwKa7xREwFo07yphK8+K5fdLHUFrA7jUMAk4aFWS10CY+7JYZW6AlaH8a8PGGPMnThsUlfA6jAOBYwx5k44FDAJ8eED5p6MGcDOjwFBdv0hADJ5sefFH/LrZ+rd1N1leOGm4W+eRjVMv8Q4FXgUDS/jG0fVGXz4gEmIQwFzKw6HA8bcbMivJUC371upy3E/tx1sygodhYElyGLBGPlVKHLVUBJ/MEmG9xQwCXEoYG7l+D/bsXXVYgQoLZiokroaN0TOwgfs5Q5aWWoAwbIqmTSrDCe/AEw6fE4BcytWqxlKpQq+gaFSl8KYNJQeUlfA6jAOBcwtOQTeicXqKJWX1BWwOoxDAXMrglB4OV6rwNcxYHWUmkMBkw6HAuZWVGoNyOmEQ1DCAT7jntVBap3UFbA6jEMBcytqDw/xOv+8t4DVSbyngEmIQwFzKyoPDYpua2SV8QlXrK4RABXvKWDS4VDA3IpK5QGZrHCz5D0FrM5R6W7crZMxCXAoYG5F5aER735oFXhPAatjvPmnuExaHAqYW1GqbwSBAhnvRmV1jL6B1BWwOo5DAXMr6mJ7CgxyvbTFMFbdfCOkroDVcRwKmFtRa7QABDidThhleqnLYax68Z4CJjEOBcytyOVy+PgFwGYx854CVvdwKGAS41DA3I5/UCislgIYORSwukbPhw+YtDgUMLfjHxQGq9kMu6BCgeApdTmMVR/fSKkrYHUchwLmdvwCg+F0OgAABrmvxNUwVk10wYCnn9RVsDqOQwFzOzofPwjXL+CSI68ncTWMVZOQaKkrYIxDAXM/Xvob35YylSESVsJYNQpuI3UFjHEoYO5H5+MHuVwBh92OLAWHAlZHhLaXugLGOBQw9yOXyxHcoBEK8g0wyH1h4csds7qgfiepK2CMQwFzTw2atII53wgAyFIES1wNY1WLvOsD3rxXjEmPQwFzS0FhkSAUXu44kw8hsFpOCOO9BMw9cChgbsk/qD5ABCJCloLvHMdquUZ9pK6AMQAcCpib8tR5Q+vjC5vFjKvK+nBALnVJjFWdxv2kroAxABwKmJsSBAHhUc1hMubBISiRoagvdUmMVQkKaArow6UugzEAHAqYG2vUvC2sFjMAIFUVKW0xjFURgfcSMDfCoYC5rZCIxgAAIkKqspHE1TBWRRrfJ3UFjIk4FDC3pfPxhV9gCMwmI/IU/jDI9FKXxNhdRQoPIKKH1GUwJuJQwNxas7ZdkJ+XAwBIUUVJWwxjd1uj3oCSL87F3AeHAubWIpq2BpETAJCsaiJxNYzdXUJ0rNQlMOaCQwFza/VCG0Ct0cJmtSBTWZ8PIbBaw6nUAs0GS10GYy44FDC3JpfL0bxdV+RdywQAXFS3krgixu6SVsP50AFzOxwKmNtr1q4LHHY7AOCSuiWcECSuiLE7J2s7VuoSGCuBQwFze0FhDeHt6w+zyQiT3BvpSr7QC6vZHLpgILKn1GUwVgKHAub2ZDIZ2t/bH4acbADAJXVriSti7M7I2j4MCLzHi7kfDgWsRohq1QEggtPpRLKqMayCWuqSGLstJMggdJokdRmMlUohdQGMVYS3rz/Cm7TE1cuJ8PYNwEV1KzQ3H5K6LHYHzmQ6ELuiQHx+8ZoT7/ZRI8dMmH/Ihnqehd+k379PjcFNlCXGf3x1Af44a0egVsCJZ3Vi99c2m7HhvB3tguVYPEIDAPjxqBXZBYSpXaUPk47Gg6DwjZS6DMZKxXsKWI3RtmsfmE35AIDTHh3h5M23RmsWIMeRp3U48rQOBydr4akUMKJ54Yf/i11VYr/SAgEATGqnxJ+PeLp0yzUT9qQ4cOwZHRxEOJ7uQIGNsOioDc92VlX5MlWEotdLUpfA2C1xq8pqjAZNWsPDUwuLuQAmuTcSVc2kLondJVsvORDlJ0OEvuJNUq8IBfw0rsflZQJgdRCICAU2QCkHPt5jxQv3qKCUS38M3xoYDYR3lroMxm6JQwGrMZQqFbr0fQB5WRkAgHgNN661xbITNjzc+sYegS/3WRH9jRGPry7AtQKq8HS81AJGtlCi/bf5aKiXwUctYH+qA8Oal763obopY16WugTGysShgNUozdt3g0KphN1mRa6iHlKVDaUuid0hq4Ow5owdo1sWnuL0TCcVLrygw5GntQjRCXh5k7lS03v1XjWOPK3DnIEeeGubBe/2VuN/h6wY86sJs3ZaqmIRKsSmDYXQ4kHJ5s9YRXAoYDWKRqtD+x79kZOZDoD3FtQGG87Z0SFEhiBdYXMUpJNBLhMgEwQ81VGFfZcdtzXdw1cKx2vqL8Piozb8MtoTJ646cC7r9qZ3p+S9XgRk3OQy98ZbKKtx2nTpDRDgcNhxVRmOq4pQqUtid+Dnmw4dXDE4xf9XnrKhdeDtNVNvbbPg3T5q2JyA4/oRCJkAmGx3VO5tsWiCIOv0WPXPmLFK4lDAahwvvR9adu6BnIzCvQVHPGMkrojdLpONsPmiAw+1uBEKXt1iQZtvjIj+xohtCQ58OrDw/gCpBicGLzGJwz38mwndFuTjTJYTYZ8YsOCQVey36rQNnUPlCPWSQe8hoFuYHG2+MUIQgLbB8upbwOtkfd4A5O5xXgNjZRGIqOJn8TDmJrKvXsGPn0yHX3AY5HI57jWsRYT1rNRlMVZCgTYcmpeP8aEDViPwVspqJL/AEER364NrV68AAI549oQD1f8NkLHyKAZ/yIGA1Ri8pbIaq3OfoRBkAmxWC/Llepz1aCd1SYy5MAa0g7LVUKnLYKzCOBSwGkvnrUe3fsPFcwtOaLrCIvD96Zl7cEKAZsTnUpfBWKVwKGA1WnS3PtDodDCbjLDJPHBc003qkhgDABiaPwx5/XZSl8FYpXAoYDWaSu2BXkPGIje78CqH5zzaIUseJHFVrK4zyn3h/dAcqctgrNI4FLAar0l0ZwSGRiDvWiZIkGGvbgDfLIlJioZ8AkHlWf6AjLkZbjlZjSeXy3HfQxNRkG+Ew2FHjiIQpzSdpC6L1VGZwTHw6vCQ1GUwdls4FLBaITi8ITrH3I/stFQAwHFNN+TI/SWuitU1BYIG+nH/k7oMxm4bhwJWa3TuOxQ6vS+MeTlwCgrE6e7nwwisWpn7vAuFd6DUZTB227jFZLWG2kODgWOeRH7uNTgcDlxTBOGEpqvUZbE64kq9GPj2mix1GYzdEQ4FrFYJa9QMHXoORHbaZQCF1y5IVUZKWxSr9bIEf/hNXCx1GYzdMQ4FrNbpNmA4fPzrIe9aJiAI2KMbjHyZl9RlsVrKQgo4Ry6EWqeXuhTG7hiHAlbrqNQeGDrhOVgtZljMBbDKNNite4DvjcCqRFr0C6jXurfUZTB2V3AoYLVSQHAY+o98DNeupsLpcCBLGYLDnr2kLovVMonenRE+4i2py2DsruFQwGqt5u27ot29/ZGZlgIAOKvpgERVM4mrYrVFmhCMwCeWQ8Z3QGS1CG/NrNYSBAE9B49GYP0I5GQW3jTpH91AZCqCJa6M1XTXnDoI436GxoevhcFqFw4FrFZTqtQYPO5pgAgF+QY4BCV2eI1AnsxX6tJYDWUiFa72no2gJh2kLoWxu45DAav19P6BGDLhORhysgtPPpR5Ypv3QygQ+Nr0rHLsJMO5Vq+gaZ+xUpfCWJXgUMDqhIgmrTBwzJPIvpoKu82GfLke270fgg1KqUtjNYSTgGOh49F65CsQBEHqchirEhwKWJ3RokM39Boci4zUJDivX/Fwl9eDcPDbgFXAEe/+aPPYHMjl/NNWVntxa8jqlI4xg9Cx1yBcvZwIIkKaKpLvkcDKtU/VHc2nLIRSpZa6FMaqFLeErE4RBAE9h4xB8/ZdkZGaBCJCkro5duuG8sWNWKn+ETqiyeRF8NR5S10KY1WOQwGrc+RyOfqPegwNGrdE5vVgkKJugp1ew2CHQurymBvZI3RCk6d/hG9AkNSlMFYtOBSwOkmpUuOBR/+FyObRyLh+KOGKqiF2eA/nYMBAAHbiHjSd8gP8g+pLXQ5j1YZDAauzCq9h8Awat+4onmOQrozANu+RsAkqqctjEnFAhm3CvWgxZSECgsPKHV4ul6Ndu3Zo3bo1Ro8eDZPJVKn5paamYtSoUQCAI0eOYP369WK/NWvW4MMPP6zcAjB2BwQiIqmLYExKdpsNm1d8j9OH96Be/UjIZDL42tMRk7cSnpQvdXmsGpmhwmbZfeg+5RP4B4VWaBydTgej0QgAGD9+PDp27IiXXnrptua/aNEiHDhwAF9++eVtjc/YneI9BazOUyiVGDD6cbS6JwZXLyeIP1fc6DMe1+T1pC6PVZMc0uEP9Qj0eOazCgeCm/Xs2RPnz59HdnY2hg8fjujoaHTt2hXHjh0DAOzYsQPt2rVDu3bt0L59exgMBiQkJKB169awWq14++23sXz5crRr1w7Lly/HokWL8K9//Qu5ubmIjIyE0+kEAJhMJoSHh8Nms+HChQsYNGgQOnbsiJ49e+L06dN3bZ2wuodDAWMA5AoF7hvxKDr0GIirlxNgs1pRIPfCZp+xSFE2kro8VsUuO/2xrd7juP9fH8O33u3dG8Nut2PDhg1o06YNZsyYgfbt2+PYsWN4//338eijjwIAZs+eja+++gpHjhzBrl27oNFoxPFVKhXeffddxMbG4siRI4iNjRX7+fj4oG3bttixYwcAYO3atRg4cCCUSiUmT56ML774AgcPHsTs2bPx7LPP3sGaYHUdn1HF2HVyuRwxD4yF3j8Q29b8BB+/evDw1GGn13BEF/yN1gV7pS6RVYFT9jAktXgOQ0c/cVvXISgoKEC7du0AFO4peOKJJ9ClSxf89ttvAIC+ffsiKysLubm5uPfee/HSSy9h/PjxeOihhxAWVv45C0ViY2OxfPly9OnTB8uWLcOzzz4Lo9GIPXv2YPTo0eJwFoul0svAWBEOBYwVIwgC2t17H3z8A/DHT9/AajHD2zcAxzx74Jo8EF3zN0JJVqnLZHeBHXJst7SGZ58X0b/fsNu+BbJGo8GRI0dcupV2qpYgCJg2bRqGDBmC9evXo2vXrtiyZQs8PDwqNJ8HH3wQr7/+OrKzs3Hw4EH07dsX+fn50Ov1JebP2O3iwweMlaJh87YY9/xbUHtokJWWAiJCsrop1vtMQIYiROry2B26Bj2WWfoidPSH6NZ/+G0Hglvp1asXlixZAgDYvn07AgIC4O3tjQsXLqBNmzZ47bXX0KlTpxLH/728vGAwGEqdpk6nwz333IOpU6di6NChkMvl8Pb2RsOGDfHrr78CKAwjR48evavLwuoWDgWM3YJ/UH3EPjsdYVEtcDXlEuw2K/LlemzxHovjmq5wgm+KUxOddDTEKtUI9H36Q7Ts0L1Kbm40c+ZMHDhwANHR0Zg2bRp++OEHAMBnn32G1q1bo23bttBoNLj//vtdxuvTpw/i4+PFEw1vFhsbi59++snlfIMlS5ZgwYIFaNu2LVq1aoXVq1ff9eVhdQf/JJGxcjgcDhzevRm7N/wKjdYLXno/AEA9Wwq6GTdA58yTuEJWEVYosdncFmg9En1HPAqNVid1SYy5HQ4FjFVQWvIlbPh5HvKuZcE/OAwymQxKpwWd8reiofWU1OWxMiQgDH9Z26LzsMlofU8M3/qYsVvgUMBYJVgKTNi5bjmO790Ofb1geGi0AIBgawI65f8Fb+c1iStkxZkELbZZ2yDTtyMGj38G9ULCpS6JMbfGoYCxSiIinD9xCJtXLITDbodvYAhkMhlk5ECLgv1oVbAXCtilLrNOc0JAPJpiR0EztLp3MLoNGA61h6b8ERmr4zgUMHabjLnXsHvDCpw69De0Pr7QefsCALSOXHTK/wv1bRclrrBuypIFYJOpNexBbdF/1CQEh/PFpxirKA4FjN0BIsLli2ew5fdFyMm8Ct/AEPECOPWtF9DWtBt6R6bEVdYN+TIv7LG1xmlnOHoMjkV0l96QK/hSLIxVBocCxu4Cm9WKo3F/Yc/G3yGTyaCvF1z423ciRFjPoLVpD3z4fIMqYRY0OCy0wT5jMCJbdETvYePh48f3rGDsdnAoYOwuys3OwK71v+D88YNQenhA7x8EQRAgkBOR1lNobfoHXs4cqcusFSyCB47Lo7HXEAxdYDhihj6MiKat+ZcFjN0BDgWMVYG05EuI27wKCWeOQa3RwsevnhgOGllOoEXBAf6lwm0yyPSIl7fCgTx/KL380XNwLJpGd+ZDBYzdBRwKGKsiRIS05Iv4e+PvSD5/Ch6eWnj7BhR+kyVCqO0SmpkPIcSWKHWpNUK6IhzHZS1xIk8HD08dug94CC06dLutmxgxxkrHoYCxKkZESE04hz0bf8flhHNQqlTw8QuETC4HAHg5stHEfAwNLSehJrPE1boXOxRIVDXDIVsUUkwKePn4oXOfoWjRoRtU6ordSIgxVnEcChirJkSE9JRLOLJ7C84c2wdAgI9fAFTXfz8vIzvCrecQYTmNEFsi5HBIW7BEnBCQpozAJWVTnMjzhslGCI1sgnv6DEaDxq34MAFjVYhDAWMSyLuWhdNH/sHh3ZtQYDTAQ6uDzsdPvFuf0mlBmO08GljOINiWCDmcEldc9TIVIbikao7TtlBkG6yAALTo0B3tut+HeqEN+ARCxqoBhwLGJGS32ZB8IR5H9mxF0rl4EBE0Wh203r7FAoIZ4dbzCLVdRJAtudYcYrAKaqQrw3FFGYEEexCu5NlATicCQsIQ3a0vGrVoB523XuoyGatTOBQw5iZMxjwknYvHyQO7kHLxDECAh04HrZdeDAgggq/jKoJsyQiyJSPQngIlWaUtvIKckCFTEYw0ZSSuKBog1eYFQ14enE4HvH39EN2lL6JatYc+IIj3CjAmEQ4FjLmhfEMuks7F48S+HUhNPA8AkMlk8PTSw8NTK35oCuSEnz0d/vY06B0Z0Dsy4WPPhBI2KcuHEwIMcl9ckwciSxGMbEUQrjr1yDEYYbdaAAL0AUFo0qYzolq1R2D9CA4CjLkBDgWMuTmzKR9XUxORcuEMLsQfQlZ6KgQBkMkV8NR6Q63xFH/JAAAggs6ZA709E3pHBnTOPHg68qB1GqBxGu/azZrsUCBf7g2TzAv5sut/5d7IkQcgR+YHs8WGgnwDrBYzBEGAysMDUS3ao2GLtghpEAWdj+9dqYMxdvdwKGCshjEZDUhPuYTk86eQcukMMtNSgOtvYyKCWuMJD08dlCp1qd++lU4zPMgED6cJSrJCRg7IYYecHJDBATnZIYMDTshhF5Q3HlDCIShhE5Qwy7SwyDxBRLDbrLBazLAUmOCwWyEIMjidTnj7+iOsYTPUb9QMQWGR8AsMvXEYhDHmljgUMFbDORwOGHKykJOZjqz0VFxJPI/0lEsw5uUAggABhWGBiCCTySBXKiGXKwqvsCiTQRBkkMlk4v8ggtPhgNNZ9HBef+6Ew2aDIBMgCAIIADmd8NR5w8cvAIH1IxEc3hD6gCD4BgTDw1Mr8ZphjFUWhwLGaimH3Q6TMQ/5hlyYjLkwm/JhzMuB4VoWrJYC2G1W2KxW2O1W2K02OOw22O1WyOUKKNUeUKo8oPbwgFLtAbVaA5WHBl56f2i9faD18oHWSw9PnTdfN4CxWoRDAWOMMcYAAHyAjzHGGGMAOBQwxhhj7DoOBYwxxhgDwKGAMcYYY9dxKGCMMcYYAA4FjDHGGLuOQwFjjDHGAHAoYIwxxth1HAoYY4wxBoBDAWOMMcau41DAGGOMMQAcChhjjDF2HYcCxhhjjAHgUMAYY4yx6/4fSoC44QOYvy0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 5\n",
      "[('D000075065', 5.62215512487062), ('D059247', 4.4051417869099545), ('D010173', 4.843486171209382), ('D024002', 3.8966941125410046), ('D003187', 4.526401404782577), ('D014691', 1.0), ('D000649', 5.0466671003812476), ('D011588', 2.6636456759673406), ('D014699', 2.7686509080988584), ('D002065', 3.8700336508404893), ('D016172', 2.661161945081703), ('D003540', 5.8823192108084985), ('D066128', 1.18515683675868), ('D007802', 1.7719787535676907), ('D000067563', 4.846232597164921), ('D053590', 4.161733291990801), ('D019829', 2.885295780743892), ('D000076122', 2.8916444793870024), ('D002586', 1.146930329585197), ('D020773', 1.4244203032655436), ('D009773', 1.0), ('D018670', 1.9489466238021318), ('D062105', 1.2575509957049842), ('D009989', 2.1773869644672383), ('D000072916', 0.9074983720020674), ('D001228', 2.6406448663875994), ('D007265', 3.6947535735019934), ('D011392', 4.111139291431174), ('D006503', 4.152465953342831), ('D004502', 1.8469590162956344), ('D006764', 1.0), ('D005263', 6.005373149522219), ('D001428', 2.467891431909795), ('D014664', 4.900284679958048), ('D000072483', 0.5729879070893663), ('D013584', 1.2549918638620055), ('D014581', 2.440699447989486), ('D011126', 2.213437392755593), ('D035843', 1.267407888336875), ('D056566', 1.616837642165368), ('D060740', 1.0), ('D000085', 4.073101846074541), ('D005542', 2.958066953861788), ('D005144', 1.9862252191604775), ('D059425', 0.20816567443251854), ('D037181', 2.0024135347104384), ('D056945', 7.808445208511813), ('D009131', 5.872883195397702), ('D004361', 4.767976196492124), ('D000071446', 0.6759467998194381), ('D005839', 2.698884938070395), ('D003920', 0.8850633110307164), ('D013246', 5.798769660557081), ('D029961', 3.628183388172032), ('D002175', 2.326045622661628), ('D052578', 1.1491057087383616), ('D031541', 1.206419120352489), ('D000090382', 0.6003604922410534), ('D012890', 1.114758153133068), ('D000083644', 0.5815600666580228), ('D059645', 4.715692977025307), ('D016222', 2.5871379800021046), ('D002857', 0.3172463602079696), ('D002424', 1.5980823019278079), ('D013163', 3.449999343626197), ('D054025', 5.804956388666475), ('D057766', 0.6637813521813271), ('D016364', 4.108935964879156), ('D012008', 2.9934463288008155), ('D000775', 1.22460216377681), ('D012238', 6.83678282889326), ('D064127', 5.709444447124926), ('D000070624', 1.1939676599602769), ('D013127', 4.468107755570139), ('D007381', 1.73927232471297), ('D018562', 1.0), ('D004730', 3.819780896932008), ('D001771', 1.0), ('D004574', 2.801624908631459), ('D017423', 2.2841289651397916), ('D002213', 1.70493941988038), ('D020706', 5.441451915643767), ('D004681', 3.4016410287973766), ('D012683', 6.416556273896264), ('D016040', 4.656031312163681), ('D054854', 3.526872519675067), ('D004463', 0.6843139387596016), ('D000069258', 1.0664197399078983), ('D006085', 2.229681708045083), ('D000088744', 0.4078061360955832), ('D000690', 1.2352109725465197), ('D060389', 0.9885972407069876), ('D015166', 7.196913142647099), ('D019334', 5.069349362038752), ('D013226', 2.0377314089646843), ('D011486', 5.298033691572805), ('D018561', 1.0), ('D007910', 1.2322929915500795), ('D013518', 0.6355622369822136), ('D000075762', 0.3973687754696568)]\n",
      "len(dui_subset): 5653\n",
      "neg: 1435 Ratio: 25.3847514593976\n",
      "pos: 4218 Ratio: 74.61524854058472\n",
      "len(dui_subset_single_level): 2677\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 6\n",
      "[('D014995', 6.389817714268478), ('D000081246', 1.5826280630839582), ('D005371', 1.1328420619641495), ('D051339', 7.507472135154926), ('D002328', 1.2128378582528645), ('D049631', 4.020423657656552), ('D000583', 0.8819415742080662), ('D002824', 3.1433635365337973), ('D006776', 1.0), ('D000803', 4.9271243489229395), ('D000060', 1.0), ('D032921', 0.853257271304385), ('D042461', 4.511685784392347), ('D002302', 0.7789562191075161), ('D004461', 1.4173195693630454), ('D056464', 3.207552959389893), ('D000114', 3.7758575451649663), ('D017156', 1.2387298200411696), ('D054582', 1.0), ('D000076282', 0.8171255946062246), ('D006358', 1.0), ('D044043', 5.2711082677065635), ('D010174', 5.698207376574504), ('D008046', 4.088167511639897), ('D006850', 6.907572238735093), ('D052247', 7.145066357761129), ('D054581', 1.0), ('D005079', 2.3465177011105633), ('D011825', 0.36644745166947595), ('D001012', 3.4990498206095), ('D002295', 4.762446446540569), ('D017439', 0.4893481116773934), ('D005072', 3.0032364708461725), ('D034462', 2.0467421840502857), ('D003424', 3.9603906442775116), ('D055534', 7.006472320306307), ('D000927', 4.712429794047001), ('D013472', 0.8296930948066402), ('D003487', 4.669862818279513), ('D008018', 0.4470004351810487), ('D006242', 1.79633643328541), ('D008950', 3.86154752482103), ('D006949', 3.2848288755928983), ('D060888', 1.372863127231609), ('D029597', 1.51340772136874), ('D043823', 4.289374634325365), ('D009113', 2.572193819260947), ('D003756', 1.0), ('D005173', 2.140604548334867), ('D007365', 3.2990914426412457), ('D001288', 1.5050123300536382), ('D018710', 1.0), ('D010931', 2.2718823393814347), ('D058732', 4.837193644284623), ('D010147', 4.515651343328348), ('D013647', 1.758552154979405), ('D007709', 1.5471303490084791), ('D012441', 2.6636224621105353), ('D012201', 2.616446968893748), ('D050151', 4.596981707453568), ('D015986', 1.0), ('D000072777', 0.7952164467269397), ('D014199', 0.4808771750362032), ('D000076522', 1.0), ('D008845', 5.077718509730262), ('D058865', 1.0), ('D007438', 3.305032156386076), ('D010360', 1.0), ('D000073017', 1.0), ('D008938', 4.822840208502626), ('D054537', 3.874192421209244), ('D012647', 2.3740649553670328), ('D000067779', 0.689633725764364), ('D003871', 3.9918319649484335), ('D036281', 0.354575963987016), ('D015140', 3.295668942348666), ('D016757', 2.884608227137816), ('D007313', 2.111724501736512), ('D062085', 1.5642459017425228), ('D011669', 4.564459299782445), ('D038201', 6.0500668771785096), ('D013488', 1.5430771801863554), ('D065627', 3.697502412082149), ('D000072667', 1.0), ('D000068376', 1.328739405034309), ('D010923', 0.3353402225277878), ('D051336', 3.4314744214538138), ('D020301', 3.7117525930436517), ('D004912', 3.057216051972809), ('D063425', 1.6955861449648635), ('D013689', 1.0473647330609293), ('D002981', 2.5309369994130537), ('D000448', 4.547223094451246), ('D002991', 1.9014830628536477), ('D010035', 6.580015322650805), ('D010953', 2.947751925061322), ('D000069983', 1.9543488228431871), ('D054045', 1.2170529348605332), ('D000077602', 1.3520715319903684), ('D009547', 4.037541448989277)]\n",
      "len(dui_subset): 7880\n",
      "neg: 1970 Ratio: 24.999999999996824\n",
      "pos: 5910 Ratio: 74.99999999999048\n",
      "len(dui_subset_single_level): 2227\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 7\n",
      "[('D007922', 0.4049871109446164), ('D012381', 2.2962244676201133), ('D000249', 0.3699736416634184), ('D046969', 1.230711702077787), ('D053139', 4.90066285637838), ('D062788', 3.7539660930549985), ('D015293', 2.4016180032537693), ('D012865', 1.0022533228520805), ('D000077195', 1.0728531321749106), ('D005782', 0.7349747946474794), ('D058976', 0.8447179176304904), ('D008246', 5.796136941673638), ('D003919', 2.5338122664907727), ('D007888', 5.785330746532349), ('D006506', 1.9080535887074574), ('D000077310', 0.8137437313073185), ('D008543', 1.5128262335917888), ('D003056', 4.599713814962784), ('D011055', 0.7203658988037275), ('D044784', 0.5384944750942766), ('D014103', 1.8792875208385817), ('D032763', 1.3805148999155958), ('D002130', 2.9548186152456073), ('D030016', 1.1949128554921753), ('D016718', 3.6378766182391673), ('D018538', 1.1803113529436928), ('D003841', 3.6820642248653086), ('D000077144', 2.4451329725814834), ('D016264', 1.3821975902208143), ('D008098', 3.0801182833778227), ('D016008', 1.0), ('D013916', 1.5698855360514772), ('D043222', 0.5498585508931711), ('D010807', 8.336530524509143), ('D003469', 3.4069943603863218), ('D002348', 2.834248296332576), ('D006279', 3.4400352208568625), ('D011215', 0.6290265582158799), ('D017305', 2.1761331718500387), ('D062445', 7.162528180719998), ('D003077', 1.0), ('D001739', 3.40723960452405), ('D007895', 0.28895876335428655), ('D013216', 6.383102707387046), ('D041261', 4.845497500274149), ('D000090783', 0.2443216816505846), ('D001002', 3.9045771862268315), ('D009704', 1.34792634961873), ('D019869', 3.5739691319160407), ('D055106', 1.0), ('D055872', 0.8780243882314596), ('D010966', 2.133935677926389), ('D013918', 1.8964235003717096), ('D014766', 3.375867922422356), ('D037662', 4.863963980875096), ('D015728', 4.135752592183375), ('D017668', 1.0), ('D012742', 1.5120251924953108), ('D020043', 3.8122418083492375), ('D018035', 3.881233359183349), ('D004310', 6.66022590400082), ('D012512', 5.19343764408595), ('D005803', 3.8389335685743133), ('D009837', 2.645267936122989), ('D019694', 3.1621626944830648), ('D064371', 2.2246079133543795), ('D000069553', 0.645825572303337), ('D000078331', 1.0), ('D011051', 1.1591459630822432), ('D004854', 1.5079867443232124), ('D005651', 1.0), ('D000242', 3.244478124791932), ('D000995', 2.7765458402019867), ('D013582', 3.179662938439415), ('D024141', 1.5931658041973031), ('D000066', 0.9291401554063462), ('D017629', 3.5315535769652), ('D006854', 4.440399643140753), ('D014635', 2.055601765957147), ('D007290', 1.8390048914425734), ('D013061', 5.689384753706065), ('D002800', 2.262899623151456), ('D016252', 3.1020155081481344), ('D012494', 1.0), ('D055423', 1.1947162118359071), ('D013690', 1.169162190520935), ('D014355', 2.448454530237444), ('D002544', 2.8094973603571565), ('D065818', 7.277925415557737), ('D011319', 5.039814131814162), ('D011678', 2.8379792861350146), ('D011069', 2.1508831762949376), ('D017474', 2.6786405921260115), ('D005634', 2.6005107650355894), ('D019028', 1.4666750025473714), ('D011639', 5.849714197126172), ('D000069877', 0.4767623814662209), ('D003272', 3.590055292089753), ('D000089922', 0.244211422234423), ('D008718', 1.9636790366086738)]\n",
      "len(dui_subset): 9283\n",
      "neg: 2310 Ratio: 24.884196919096745\n",
      "pos: 6973 Ratio: 75.11580308089248\n",
      "len(dui_subset_single_level): 1403\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 8\n",
      "[('D005881', 1.9499057274921578), ('D001491', 1.8536973091825153), ('D001735', 3.0172477904837343), ('D016410', 2.202597108843663), ('D004900', 2.5058883378637686), ('D011241', 4.03759239417242), ('D004335', 1.3200004673098886), ('D014141', 1.3964274087876718), ('D020169', 3.8066905042061587), ('D015251', 6.964633160180333), ('D017085', 4.034176219342723), ('D003400', 0.94677239814864), ('D052248', 5.690809188064686), ('D044950', 0.6223439727511866), ('D014104', 0.6598513836288566), ('D019057', 1.0), ('D012083', 3.6498736281544018), ('D019362', 2.8471915561542476), ('D000074062', 1.0), ('D017470', 4.276338645842304), ('D011237', 1.0), ('D000071066', 2.520363809697), ('D017948', 1.9779909776493667), ('D019005', 1.574690007024817), ('D005733', 2.4709793986100306), ('D019741', 2.2754011831453287), ('D058430', 0.6313283127607473), ('D013609', 1.0419665479100964), ('D066246', 3.3169813348912256), ('D000083262', 0.34543759487848624), ('D004458', 0.2529067951271069), ('D054703', 2.2906943121636996), ('D000070000', 0.18285022513944915), ('D058581', 1.4910605683460747), ('D006214', 0.9449472361049674), ('D014805', 3.9154410756358358), ('D011967', 2.8547163502050186), ('D008334', 2.490130104952651), ('D002583', 1.0261691338324594), ('D064088', 1.0), ('D020100', 0.7063200602648114), ('D000073640', 1.4965954761312312), ('D018233', 1.94941542873057), ('D004728', 1.6702500971266365), ('D014438', 4.895233540426695), ('D008925', 1.4933891332392908), ('D004992', 0.43543273665387805), ('D048328', 5.54351253728907), ('D007591', 3.962936031712987), ('D019207', 2.291608782170571), ('D020746', 5.177565108544674), ('D013342', 1.154575983119614), ('D017579', 4.112180998112213), ('D000067012', 3.932265458056568), ('D020754', 2.034361889902281), ('D027322', 6.388453692532982), ('D017949', 1.9717988498314682), ('D002893', 3.031758952006038), ('D000086382', 1.4608550167324652), ('D034101', 2.0332336968720788), ('D000077768', 4.1474123728988666), ('D064410', 1.0548686211545049), ('D054819', 1.448933191361586), ('D009035', 1.1297577799052358), ('D020168', 4.798981267915739), ('D052004', 6.419719670259272), ('D024642', 4.595006791280578), ('D009344', 3.0955590486921194), ('D019800', 1.1516562570803266), ('D049833', 6.346894081458506), ('D029121', 5.3947536561313765), ('D002939', 1.0808676678051292), ('D054645', 2.413278486517032), ('D016081', 2.0323522396545077), ('D055910', 1.02784698997111), ('D002051', 2.329546977652371), ('D003471', 2.3388988746971933), ('D023302', 0.9072136380656476), ('D000069', 5.892015283304663), ('D020782', 3.498797856867048), ('D014929', 0.7760742133234725), ('D008390', 1.0), ('D018796', 1.8560473939088855), ('D018856', 1.961358713069814), ('D020416', 0.2761644525597031), ('D001082', 1.71445822570898), ('D044463', 2.423546600975356), ('D014303', 1.3102827034004176), ('D008665', 4.4741130111150715), ('D016036', 1.0), ('D010287', 8.167812166246897), ('D011918', 6.360895240224835), ('D000080803', 1.0), ('D061346', 2.4577595374631356), ('D009504', 1.14510518064288), ('D000074011', 3.2375168354128827), ('D001037', 1.518692091521969), ('D001492', 1.0633477769570898), ('D008193', 1.23982938119249), ('D017262', 4.208787854483397)]\n",
      "len(dui_subset): 10019\n",
      "neg: 2479 Ratio: 24.742988322185372\n",
      "pos: 7540 Ratio: 75.25701167780464\n",
      "len(dui_subset_single_level): 736\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 9\n",
      "[('D057127', 5.735060318879416), ('D047388', 4.861821891169476), ('D031944', 4.889087453858127), ('D014812', 1.2382326569129605), ('D064486', 0.4871989156519864), ('D000882', 0.7738794585265245), ('D020781', 2.8682035870006417), ('D016335', 3.9745819669088043), ('D005625', 4.079829479903577), ('D000992', 1.5047427947521312), ('D029902', 2.863117514010392), ('D000070003', 5.197877405065551), ('D031042', 2.2119111044363353), ('D027702', 3.2975121185680405), ('D000080907', 1.0), ('D017448', 5.1780968431892225), ('D007347', 3.7701371011040443), ('D008273', 2.242813813108591), ('D031484', 2.3010439083561653), ('D056564', 1.7403034452554622), ('D031701', 4.156429425105834), ('D048668', 3.402195641654762), ('D054768', 6.5688333201740585), ('D040301', 2.484455234580228), ('D030017', 5.506590621635278), ('D018724', 1.395695660268243), ('D001726', 3.4528133385262616), ('D007382', 0.5946153105161627), ('D051301', 2.958602169270908), ('D031022', 4.273646291371299), ('D051197', 2.6500627056567216), ('D023801', 5.671530392579748), ('D034741', 4.184941582518595), ('D008559', 5.500588454852884), ('D007918', 1.0108249598445807), ('D063105', 0.45752687050300306), ('D000679', 6.7538330737648735), ('D053649', 0.6155360192246897), ('D053498', 6.7094186791784445), ('D064704', 0.47958376454178836), ('D046689', 1.0), ('D053262', 6.333016186596449), ('D061067', 1.0021724568094985), ('D019366', 3.039541775008374), ('D009270', 4.582866518795972), ('D029588', 0.40955579545086235), ('D001830', 1.0), ('D002487', 1.0), ('D007779', 7.552651338911775), ('D027843', 1.9942667631670907), ('D005923', 2.4698103386400416), ('D000068636', 0.32699905707931887), ('D006368', 1.892909301293976), ('D022801', 7.55884020677741), ('D013552', 2.189467464858526), ('D014908', 0.5865290455021461), ('D004318', 3.688327177334261), ('D029863', 2.664601410703948), ('D004642', 1.2026428043004525), ('D031164', 5.989449270960897), ('D009266', 0.3272839695687192), ('D018101', 3.4278566798751506), ('D009162', 4.925909937489106), ('D020080', 5.1084711072443545), ('D020071', 1.8667841175368967), ('D051196', 6.066554065667257), ('D000070658', 3.1912559251376575), ('D032962', 1.7423488563786007), ('D018087', 3.048478388426885), ('D017871', 4.961281590236702), ('D017052', 1.0), ('D029404', 1.4352395215968263), ('D020865', 3.9860822199718298), ('D047830', 5.803311243631156), ('D008911', 6.638843492196222), ('D055372', 1.9026440415759909), ('D016162', 3.5780234255184284), ('D016956', 1.9308635487681634), ('D007074', 2.688516712323274), ('D020797', 4.023720344887797), ('D017526', 2.057484160860108), ('D001546', 0.7294745227849896), ('D007070', 1.7910084572066918), ('D051416', 5.628851493037223), ('D020780', 4.1156285277805855), ('D000067758', 1.6326352506432165), ('D020408', 2.501524781118827), ('D038621', 1.3295469355751128), ('D033722', 6.9688703206824805), ('D005020', 5.009821616742433), ('D001992', 1.0), ('D013025', 1.119275138549243), ('D020784', 5.263947209870767), ('D008971', 0.4886428129569049), ('D000072138', 1.0), ('D007694', 1.2884740514635904), ('D056736', 0.6091154786170655), ('D057508', 1.5896027946453577), ('D051640', 5.5900097665581265), ('D031002', 2.411497770256042)]\n",
      "len(dui_subset): 10491\n",
      "neg: 2584 Ratio: 24.630635783049794\n",
      "pos: 7907 Ratio: 75.36936421694067\n",
      "len(dui_subset_single_level): 472\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 10\n",
      "[('D054893', 3.5868800255314435), ('D018342', 4.48720313188933), ('D062486', 1.0), ('D027723', 0.49596197900460093), ('D000069557', 2.5669567253157557), ('D010129', 3.514619504958724), ('D020379', 1.0), ('D015802', 4.207481621704028), ('D050681', 1.1801114113978757), ('D055611', 3.5106332228573116), ('D043705', 4.650785751716699), ('D022161', 0.9275000136531983), ('D018091', 1.4803961729592967), ('D055114', 0.8265234358829241), ('D002736', 1.799142811108763), ('D016762', 2.1469260202560356), ('D044105', 5.090380378529649), ('D053616', 1.531729361974416), ('D064652', 1.2420826838482606), ('D016219', 1.0), ('D054397', 6.083102474078434), ('D044103', 3.3952100950697366), ('D016176', 2.86013973953009), ('D048728', 3.6710054657621276), ('D000069455', 2.3044078761119433), ('D000076222', 8.67166278978424), ('D000068258', 5.030621899122047), ('D007142', 4.947830198197442), ('D007137', 5.314019416898521), ('D004166', 0.659969031493802), ('D002212', 0.6069792116840949), ('D018113', 1.5028736306007093), ('D017072', 7.109309614221342), ('D056973', 6.223685681788464), ('D003953', 4.216684281509979), ('D012889', 7.3866374481147155), ('D027923', 1.0724971664053482), ('D018743', 1.2575005090776472), ('D045969', 2.365455100393654), ('D020649', 3.1025565328085953), ('D031609', 0.6750091203976095), ('D051744', 5.04370629539595), ('D001517', 1.5276043113953526), ('D018598', 5.082815413804831), ('D024483', 2.8893681801793463), ('D015774', 3.1454483084354368), ('D000073358', 0.9219754945007597), ('D017886', 2.4212696980593704), ('D005849', 4.7507111560562345), ('D015269', 1.4393391069306796), ('D024482', 1.1838516201700784), ('D018553', 0.5552575488751109), ('D020675', 4.9337251221211735), ('D000072638', 1.0), ('D032084', 1.0883127576615166), ('D007795', 1.0), ('D009314', 1.0), ('D020849', 0.6672249560086637), ('D018895', 2.9095754092413264), ('D017387', 2.5728249390380373), ('D044404', 2.1144323927640207), ('D002171', 4.635904411280671), ('D022702', 1.1278665574222353), ('D009271', 5.072122037571718), ('D009044', 4.016938662468448), ('D058486', 5.687139235846625), ('D000067556', 4.193009581000178), ('D000088262', 0.37679887750935276), ('D000067495', 1.0), ('D010837', 1.9060107131365547), ('D001511', 5.306325030168467), ('D003411', 5.498286496353962), ('D001303', 3.607262715149552), ('D018884', 1.4499456782922435), ('D054398', 6.054048299469669), ('D007148', 5.584852341960411), ('D005423', 0.9057341217211762), ('D031450', 0.7478556884318365), ('D000073178', 0.31355911819920584), ('D016164', 0.9459956161796154), ('D009309', 1.0), ('D000069579', 2.2636497188939546), ('D054737', 3.13098545075773), ('D014793', 2.3062023696028295), ('D002161', 2.7784882687428873), ('D054389', 4.6697124253171935), ('D053613', 0.3405006205960923), ('D016874', 2.0864594569195978), ('D000072078', 0.2406508711964899), ('D044102', 4.039848995728424), ('D008117', 2.6005946644415796), ('D020218', 1.0154197581374458), ('D016259', 4.005574989369761), ('D027541', 1.17210313303889), ('D054736', 1.3405474116516625), ('D053634', 1.4972106726831453), ('D002117', 2.8323716970173516), ('D000997', 1.3087573993871116), ('D002417', 3.4966538324453147), ('D008484', 1.3067837354291774)]\n",
      "len(dui_subset): 10714\n",
      "neg: 2634 Ratio: 24.58465559081346\n",
      "pos: 8080 Ratio: 75.4153444091772\n",
      "len(dui_subset_single_level): 223\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 11\n",
      "[('D032413', 1.720872689275976), ('D031965', 5.942418629050329), ('D031955', 2.1242912015348594), ('D000091246', 0.22743173750317078), ('D031989', 0.9484600657682332), ('D020457', 0.28566607663768506), ('D051658', 2.442895057186218), ('D014863', 0.8387517134343884), ('D018911', 5.170239625685284), ('D048888', 2.7089264406358544), ('D000080882', 0.584399466554345), ('D006853', 3.3013098881192144), ('D054894', 1.4874920775591156), ('D065856', 1.0277722704514882), ('D033621', 0.7586972453932854), ('D032108', 0.45045846191650823), ('D001000', 3.228952503464371), ('D016645', 5.6503003303950505), ('D031325', 0.7278885600982318), ('D012278', 3.5682122641507408), ('D029799', 4.750270652238982), ('D046008', 1.9593646987092501), ('D012519', 4.225970329495142), ('D027845', 0.7393371578793607), ('D051379', 3.447275481251163), ('D019596', 1.8772532645107336), ('D015440', 1.7017397857724068), ('D013602', 4.941201923708779), ('D006377', 2.9229336381590096), ('D031985', 0.9271617069456741), ('D011576', 0.3207233977828784), ('D027826', 0.33481708015489986), ('D028521', 0.44067605703552787), ('D000086542', 1.7306418278542084), ('D054520', 3.4663302521446364), ('D030024', 0.5713434327302899), ('D015186', 0.775849007771364), ('D004285', 3.923860726157102), ('D030681', 1.6595006120965383), ('D000504', 6.372916389223597), ('D000075942', 1.805728781265469), ('D032107', 2.651072711002007), ('D030221', 2.686450817074385), ('D055354', 1.0711077049179583), ('D009714', 7.107875487066255), ('D019950', 6.206903255028881), ('D002612', 1.028525789624325), ('D054501', 4.3410981782567495), ('D017836', 1.8924627017385645), ('D017173', 3.5427595739979703), ('D000079702', 0.5922705314226872), ('D048054', 5.767921864669643), ('D009036', 4.41781496083627), ('D031622', 2.51895566289842), ('D048052', 4.6844874905734555), ('D050378', 3.3495475867625455), ('D016699', 5.526703117489916), ('D011992', 5.530842597577165), ('D018734', 3.5392682588523012), ('D018649', 1.373468954268958), ('D054465', 5.215367086975726), ('D019413', 1.765761545065012), ('D032384', 0.5751909555149916), ('D005289', 2.776832395536996), ('D010041', 0.8187908317295078), ('D018900', 3.7768516651091013), ('D011181', 3.4390632174625964), ('D019597', 1.6863855565907806), ('D002520', 3.62234254954545), ('D013712', 1.4066984218596923), ('D027582', 0.8275150049260919), ('D031446', 1.806731141442648), ('D002188', 0.7544525537591988), ('D029661', 0.5166614078458547), ('D018728', 1.918046905979519), ('D000177', 3.1318063463917394), ('D046011', 1.3843199897572964), ('D029662', 2.567313044196583), ('D050636', 2.776253649364985), ('D018773', 3.5326592352829485), ('D051659', 1.7989677910836637), ('D000071476', 0.3146578165500549), ('D009117', 5.164985672757599), ('D028482', 3.800630325912618), ('D017839', 3.8113430667725927), ('D010098', 0.900769174187825), ('D032323', 0.5647927784225816), ('D000070004', 1.0591693403963118), ('D029798', 2.2293291108625173), ('D031669', 4.17981157758353), ('D006224', 5.543244435643301), ('D017181', 5.10856128565316), ('D031211', 5.2186414936797245), ('D029787', 0.19957579689344981), ('D017686', 4.668881150454616), ('D048053', 6.298750012662698), ('D002080', 1.0511128727225214), ('D046009', 0.8388512161773258), ('D064792', 1.0), ('D013556', 3.2509941951899415)]\n",
      "len(dui_subset): 10822\n",
      "neg: 2663 Ratio: 24.607281463682813\n",
      "pos: 8159 Ratio: 75.39271853630794\n",
      "len(dui_subset_single_level): 108\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 12\n",
      "[('D027826', 0.33481708015489986), ('D028521', 0.44067605703552787), ('D000086542', 1.7306418278542084), ('D054520', 3.4663302521446364), ('D030024', 0.5713434327302899), ('D015186', 0.775849007771364), ('D004285', 3.923860726157102), ('D030681', 1.6595006120965383), ('D000504', 6.372916389223597), ('D000075942', 1.805728781265469), ('D032107', 2.651072711002007), ('D030221', 2.686450817074385), ('D055354', 1.0711077049179583), ('D009714', 7.107875487066255), ('D019950', 6.206903255028881), ('D002612', 1.028525789624325), ('D054501', 4.3410981782567495), ('D017836', 1.8924627017385645), ('D017173', 3.5427595739979703), ('D000079702', 0.5922705314226872), ('D048054', 5.767921864669643), ('D009036', 4.41781496083627), ('D031622', 2.51895566289842), ('D048052', 4.6844874905734555), ('D050378', 3.3495475867625455), ('D016699', 5.526703117489916), ('D011992', 5.530842597577165), ('D018734', 3.5392682588523012), ('D018649', 1.373468954268958), ('D054465', 5.215367086975726), ('D019413', 1.765761545065012), ('D032384', 0.5751909555149916), ('D005289', 2.776832395536996), ('D010041', 0.8187908317295078), ('D018900', 3.7768516651091013), ('D011181', 3.4390632174625964), ('D019597', 1.6863855565907806), ('D002520', 3.62234254954545), ('D013712', 1.4066984218596923), ('D027582', 0.8275150049260919), ('D031446', 1.806731141442648), ('D002188', 0.7544525537591988), ('D029661', 0.5166614078458547), ('D018728', 1.918046905979519), ('D000177', 3.1318063463917394), ('D046011', 1.3843199897572964), ('D029662', 2.567313044196583), ('D050636', 2.776253649364985), ('D018773', 3.5326592352829485), ('D051659', 1.7989677910836637), ('D000071476', 0.3146578165500549), ('D009117', 5.164985672757599), ('D028482', 3.800630325912618), ('D017839', 3.8113430667725927), ('D010098', 0.900769174187825), ('D032323', 0.5647927784225816), ('D000070004', 1.0591693403963118), ('D029798', 2.2293291108625173), ('D031669', 4.17981157758353), ('D006224', 5.543244435643301), ('D017181', 5.10856128565316), ('D031211', 5.2186414936797245), ('D029787', 0.19957579689344981), ('D017686', 4.668881150454616), ('D048053', 6.298750012662698), ('D002080', 1.0511128727225214), ('D046009', 0.8388512161773258), ('D064792', 1.0), ('D013556', 3.2509941951899415), ('D058504', 2.2448507385537493), ('D008045', 0.8941459636013966), ('D018411', 2.78807550691457), ('D019974', 2.731396462737191), ('D006793', 3.625853775777787), ('D000068181', 1.3363083371271443), ('D000072878', 1.0), ('D000068239', 0.8856331400864799), ('D011922', 1.5231475678395847), ('D017208', 6.439234897612841), ('D000068220', 6.496187678620268), ('D014370', 1.5682902804019607), ('D057146', 2.779273261088608), ('D018418', 3.5085801395888376), ('D010542', 3.2847627835629996), ('D002679', 2.824065731184761), ('D008647', 4.57761005955255), ('D006801', 0.7760883622305486), ('D004330', 3.2810228664907335), ('D008817', 3.04283789708313), ('D010691', 1.2976703321250274), ('D018417', 3.521047512885675), ('D033622', 1.1232693791726653), ('D006071', 3.373668788118953), ('D000084522', 0.27657725885470513), ('D002367', 4.653180810600282), ('D003412', 3.872705458296289), ('D046010', 2.6858094132404884), ('D002415', 2.2192136495988204), ('D017207', 4.4124653377803496), ('D020318', 5.507212788032742)]\n",
      "len(dui_subset): 10853\n",
      "neg: 2668 Ratio: 24.58306459043356\n",
      "pos: 8185 Ratio: 75.41693540955723\n",
      "len(dui_subset_single_level): 31\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 13\n",
      "[('D030221', 2.686450817074385), ('D055354', 1.0711077049179583), ('D009714', 7.107875487066255), ('D019950', 6.206903255028881), ('D002612', 1.028525789624325), ('D054501', 4.3410981782567495), ('D017836', 1.8924627017385645), ('D017173', 3.5427595739979703), ('D000079702', 0.5922705314226872), ('D048054', 5.767921864669643), ('D009036', 4.41781496083627), ('D031622', 2.51895566289842), ('D048052', 4.6844874905734555), ('D050378', 3.3495475867625455), ('D016699', 5.526703117489916), ('D011992', 5.530842597577165), ('D018734', 3.5392682588523012), ('D018649', 1.373468954268958), ('D054465', 5.215367086975726), ('D019413', 1.765761545065012), ('D032384', 0.5751909555149916), ('D005289', 2.776832395536996), ('D010041', 0.8187908317295078), ('D018900', 3.7768516651091013), ('D011181', 3.4390632174625964), ('D019597', 1.6863855565907806), ('D002520', 3.62234254954545), ('D013712', 1.4066984218596923), ('D027582', 0.8275150049260919), ('D031446', 1.806731141442648), ('D002188', 0.7544525537591988), ('D029661', 0.5166614078458547), ('D018728', 1.918046905979519), ('D000177', 3.1318063463917394), ('D046011', 1.3843199897572964), ('D029662', 2.567313044196583), ('D050636', 2.776253649364985), ('D018773', 3.5326592352829485), ('D051659', 1.7989677910836637), ('D000071476', 0.3146578165500549), ('D009117', 5.164985672757599), ('D028482', 3.800630325912618), ('D017839', 3.8113430667725927), ('D010098', 0.900769174187825), ('D032323', 0.5647927784225816), ('D000070004', 1.0591693403963118), ('D029798', 2.2293291108625173), ('D031669', 4.17981157758353), ('D006224', 5.543244435643301), ('D017181', 5.10856128565316), ('D031211', 5.2186414936797245), ('D029787', 0.19957579689344981), ('D017686', 4.668881150454616), ('D048053', 6.298750012662698), ('D002080', 1.0511128727225214), ('D046009', 0.8388512161773258), ('D064792', 1.0), ('D013556', 3.2509941951899415), ('D058504', 2.2448507385537493), ('D008045', 0.8941459636013966), ('D018411', 2.78807550691457), ('D019974', 2.731396462737191), ('D006793', 3.625853775777787), ('D000068181', 1.3363083371271443), ('D000072878', 1.0), ('D000068239', 0.8856331400864799), ('D011922', 1.5231475678395847), ('D017208', 6.439234897612841), ('D000068220', 6.496187678620268), ('D014370', 1.5682902804019607), ('D057146', 2.779273261088608), ('D018418', 3.5085801395888376), ('D010542', 3.2847627835629996), ('D002679', 2.824065731184761), ('D008647', 4.57761005955255), ('D006801', 0.7760883622305486), ('D004330', 3.2810228664907335), ('D008817', 3.04283789708313), ('D010691', 1.2976703321250274), ('D018417', 3.521047512885675), ('D033622', 1.1232693791726653), ('D006071', 3.373668788118953), ('D000084522', 0.27657725885470513), ('D002367', 4.653180810600282), ('D003412', 3.872705458296289), ('D046010', 2.6858094132404884), ('D002415', 2.2192136495988204), ('D017207', 4.4124653377803496), ('D020318', 5.507212788032742), ('D048528', 1.7844807440284207), ('D016513', 2.914285699875547), ('D018345', 3.8301887534377888), ('D054772', 2.336249060878414), ('D008251', 3.7377540154162654), ('D011923', 7.938715818356832), ('D008819', 1.0152492310873136), ('D010215', 3.740666508139668), ('D009033', 1.432535838743869), ('D012453', 2.7782809704204516), ('D012843', 0.36636663078825793)]\n",
      "len(dui_subset): 10864\n",
      "neg: 2669 Ratio: 24.567378497788606\n",
      "pos: 8195 Ratio: 75.43262150220218\n",
      "len(dui_subset_single_level): 11\n"
     ]
    },
    {
     "data": {
      "image/png": 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XZ366lJQUZTAYVF5enue1J5980jNPpkyZoq644gqvfk7fTn799deqd+/eXu+588471dSpU5VS5a+3p5S3/FYUGpxOp/Lz81M7duzwdJs5c6bq27evUqrkc05MTPR0KywsVIA6fvx4ueOuKDScqcbKtmGzZs1Sl19+udq6desZh1nZOnQ+oeHUsEv74IMPPPNJKaU++ugjFRwcrIxGowoMDFSLFi3ydGvRooUKCwtTv//+uyouLlYPPPCA6tmzp6f7sGHDPMvyuYaGGTNmqObNmyulzj40VHUel1al3RM//PADOTk5JCcn89577xEYGEhycjLffvst4eHhnsevv/7qtW8lPj7e8/+RI0cqbKZPTk5m+PDhnuG0bt0ao9Ho1UwSFxfn+T8oKOiMB2MuWbKEHj16EBkZSXh4OD/++KOnWTk1NdWrrtL/Z2ZmUlRURJcuXTy1DB48mMzMzHLHk5qaSkJCgud5QkICTqez8uad0wwZMoTGjRvzwQcfeL1+pnmcmppKZGQkQUFB5U6Ly+XiySefJDExkdDQUJo0aQLg1bx+JiNGjGDt2rWkpqayatUqNE3jiiuu8NQ1efJkT02RkZEopTh27FiVhn3ixAlGjhzJiy++SI8ePcpM82uvveY1zUeOHCE1NbXc6Tz9MzAYDMTHx1eplqKiIu666y4SEhIIDQ2lT58+5OTkeJ1xUNFyd/pyFBwcTFRU1BnH99hjj5GTk0NaWhoLFiwgMTHRM5zSB4ImJCR46v/+++/58ccfSUhIoG/fvqxdu7bS6SrP2LFj+eqrrwD48ssvuf766wkKCjrrZf6UwMBArrnmGqZNm8aJEyfo1auXV/eqLH+33HILhw8fZsiQIbRo0eKM44uNjfUa9+nPz+bg7HMdVlRU1Bn3HZ9aJ0NCQjyvlf4swXvZLe+15ORk1q9f77X8z5kzh7S0tDL9VWX5rciJEyew2+1ltl+laz192QfO+iD4M9VY2Tbs5ptvZtCgQdx00000aNCAxx9/3LN7tLTK1qHzYbFYyMvL83otLy/P8xkvX76cxx9/nJUrV2K32/nll1+YNGkSSUlJQMnyNHz4cLp160ZAQABTpkxhzZo15ObmsnDhQvLz8xk9evR51Xjs2DEiIyMBMJlM5c4jh8OB2Wwu83pV53Fp53zIenx8PDfffDM5OTmeR2FhIU8++aTnPaWPRI2Pj/fs5ylvWEuWLPEaltVqpWHDhpXWcfrRrjabjRtvvJHHHnuM9PR0cnJyGDJkCOrPm3nWr1/fa5/akSNHPP9HR0cTGBjIjh07PHXk5uZWuKI0aNDAa19+SkoKJpPJayNUVdOmTeOf//wnRUVFntfONI/r169Pdna21/tLT8uXX37J/PnzWb58Obm5uZ79tKfmQ3lHCZcWHh7OwIED+eabb/jyyy8ZM2aMp5/4+Hjef/99r7qKi4vp2bNnpdPpdrsZO3YsvXr14oEHHijTPT4+nqefftpr2EVFRYwZM8bzntK1n/4ZKKU4cuRIlZad1157jT179rB+/Xry8vJYtWqVZxiVqV+/vtf8LioqIisrq9L+TtegQQOOHDnidQBcSkqKp/5u3boxf/58MjIyuP766xk1alS5w6ns8zx1PEZSUhJfffUVY8eOBc5+mS9twoQJvPbaa9x8881lulW2/AHce++9DB06lKVLl/Lrr79WOr6qCA4O9lonyvuyPVcDBgzg999/99p+lNagQQOys7PJz8/3vFb6s4TyP6fTt5N9+/b1Wv4LCgqYMWNGmf4qW37PtExER0djNpvLbL+qst6cjTPVWNk2zGw2M2XKFHbu3MmaNWtYtGgRn332WZlxVLYOnY+WLVvidDrZt2+f57WtW7d6jn9ISkqiT58+dO3aFYPBQLdu3ejevbvnTIUOHTp4fQ6n/ldKsWLFCjZu3EhcXBxxcXHMnTuXN998k+uuu67K9bndbhYuXOj5Qde4cWNSUlK81rOioiIyMjK8AuIpVZ3HpZ1zaBg/fjwLFy5k6dKluFwurFYrK1eurHCFGjp0KGlpabz55pvYbDby8/NZv349AHfffTdPP/20ZwHOzMxk/vz5VaojNjaWw4cPexYYu92OzWYjJiYGk8nEkiVLWLZsmef9o0aN4pNPPmHXrl0UFRV5Dr6Ckl+pd9xxBw8//LDn6Ndjx455Dvg63ZgxY3jjjTc4dOgQBQUFPPXUU4wePbrCo3TPpF+/frRv355PP/3U89qZ5nFCQgJdu3Zl6tSp2O121q5dy8KFCz395ufn4+/vT1RUFEVFRTz11FNl5ltl52uPHTuWzz77jO+//97zJQMln9eLL77oObAtNzfX61Smfv36MXXq1HKHOXXqVI4cOVLhKXV33HEHM2fOZP369SilKCwsZPHixV4b4tJGjRrF4sWLWbFiBQ6Hg9deew1/f39PgJk4cWKFZynk5+cTGBhIeHg42dnZPPfcc2ecH6WNGDGCRYsW8euvv2K32/nHP/5xTke+d+/eneDgYF5++WUcDgcrV65k4cKF3HTTTdjtdubMmUNubi5ms5nQ0NAKT6Gs7PM0mUyMGDGC//u//yM7O5urrroKOPtlvrS+ffvy008/lRv+Klv+Pv/8czZt2sTs2bN56623uOWWWy7IqdydOnVi1apVpKSkkJuby4svvnjewzxlwIABXHXVVQwfPpxNmzbhdDrJz89n5syZfPzxx8THx9OzZ0/+/ve/Y7Va2bZtG7NmzWLcuHFVHsfQoUPZu3cvn3/+OQ6HA4fDwYYNG8o9uLey5fdMy4TRaGTUqFE8/fTT5Ofnk5yczOuvv35ep687HA6sVqvncWr+VFRjZduwn3/+mT/++AOXy0VoaChms7nc5f9M61BVKKWwWq3Y7Xag5OBAm80GlITQG264gX/84x8UFhby22+/MX/+fE9Q7tatG6tXr/a0LGzZsoXVq1fToUMHAG699VbmzZtHUlISDoeDF154gd69exMeHs4LL7zA3r17SUpKIikpiWHDhnHHHXfwySefVGle79q1izFjxpCWluY5Bbp79+4EBATw0ksvYbVaPT8yu3btWm5oqOo8Lu28Whrmz5/P9OnTiYmJIT4+nldeeaXCDWdISAg//fQTCxcuJC4ujhYtWvDzzz8DMHnyZIYNG8bAgQMJCQmhR48enkBRmVMX64iKiqJz586EhITw1ltvMWrUKCIiIvjyyy+9juq++uqrefDBB+nfvz/Nmzfn8ssvB8Df3x+Af/3rXzRv3pwePXoQGhrKgAEDvM6HL+22227j5ptvpk+fPjRt2pSAgADPEeHnYtq0aV5nLFQ2j+fMmcPatWuJiorimWeeYfTo0Z7pmDBhAgkJCTRs2JA2bdqU2Q1w++23s3PnTsLDw7n++uvLrWfYsGHs27eP2NhYz5kpAMOHD+eJJ57gpptuIjQ0lHbt2nkdWX3kyJEyzdWlp/HgwYPExcWVuV5DSkoKXbt25cMPP+T+++8nIiKC5s2bM3v27ArnWatWrfjiiy944IEHiI6OZuHChSxcuBA/P79Ka3nooYcoLi4mOjqaHj16MHjw4ArHc7q2bdvy7rvvMnbsWOrXr09ERITnbIaz4efnx4IFC1iyZAnR0dHce++9fPbZZ54jqT///HOaNGlCaGgoM2fO5Isvvih3OH//+9+ZNm0a4eHhnjMsTjd27FiWL1/OyJEjvYLt2SzzpWmaxt/+9jdP02hpZ1r+UlJSeOihh/jss8+wWCyMHTuWrl278vDDD1c6zspcddVVjB49mg4dOtClSxeGDh163sMs7bvvvmPIkCGMHj2asLAw2rVrx8aNGxkwYAAAX331FYcPH6ZBgwYMHz6c5557zhPQqiIkJIRly5bx9ddf06BBA+Li4njiiSc8X2KlVbb8Tp48me+++46IiAgefPDBMv2//fbbBAcH06xZM3r37s3YsWO57bbbznKO/GXIkCEEBgZ6HlOnTq20xjNtw9LS0hgxYgShoaG0bt2avn37lhtqKluHKpOcnExgYKCn9SAwMNDrwmnvvfcexcXF1KtXjzFjxjBjxgzPe/v27es5KyYkJIQbb7yRp556ynNa5ZVXXsn06dO55pprqFevHvv37/dc5yEkJMTTyhAXF0dgYCDBwcHlrk+nnDoLJDw8nGHDhhEVFcWmTZto0KABUPI9tnjxYs/ZVc2aNSM1NZVvvvmm3Janqs7j0jRVlbbYWmzXrl20a9cOm812Ti0EvmT06NFccsklZ/WL+UI7evQoI0eOPOd97xeS3W6nY8eObNu2rdz9eUII3+IL2zBxZnUyNMybN49rrrmGwsJCbrnlFgwGQ5mreNUEGzZsIDIykqZNm7Js2TKuv/561q5dW+7VJ4UQwtfINqzmqdk/rc/R+++/z8SJEzEajfTt25f33ntP75LOSVpaGjfccANZWVk0atSIGTNmyMomhKgxZBtW89TJlgYhhBBCnL3afZcgIYQQQlwwEhqEEEIIUSUSGoQQQghRJRIahBBCCFElEhqEEEIIUSUSGoQQQghRJRIahBBCCFElEhqEEEIIUSUSGoQQQghRJRIahBBCCFElEhqEEEIIUSV18oZVQtQFbrciq9BORr6VjHwbmXk2z/9ZBXZsThcOl8LlVjjdbl68oQNNo4P1LlsI4cMkNAhRwxXbXew8nseO1Fy2H8tlT1o+aXlWsgrsON1Vvx9doc1ZjVUKIWoDCQ1C1CAFNic7juWyPTWPHcdy+eNYLgdPFOI6i3AghBDnSkKDED5uf0Y+y3dl8L9dGWxKOSkBQQihGwkNQvgYh8vN+oPZrNidzoqd6aScLNa7JCGEACQ0COETbE4XS3eks+SP46zam0mh3aV3SUIIUYaEBiF0dPhEIV+sO8y3G4+Qa5WgIITwbRIahLjInC43y3am8+mvB/k9OQefP0LhxD6YdRVoRjAYwegPgeEQFAmBkd5/g2MgshlENYeAUL0rF0JcYBIahLhIjuUUM2fdYb7+PYXsIt8/vfHkiXQO7dpKYHEqrYtPenfMTal8AMH1SsJDdPOSvzGtoVHXknAhhKiRJDQIUc2OZBfx8pKdLN6eTk068WFP0jr+98MXNAqB1v7nMIDCjJJHyhrv16OaQ3x3iL+s5G/MJaBpF6RmIUT1ktAgRDXJyLcyfcFWFm7PxKVq5pdiSFgkkdEBkHsBB5q1v+SRNKfkeUAYNO4JLQZAi0EQHn8BRyaEuJAkNAhxgeUU2Xn1x+3M3ZSKQ2lAzQwMF401F/YuKXnwKNRrA5dcA62vhfod9a5OCFGKhAYhLpBCm5O3lu3k03UpWF0SFs5Zxs6Sx6pXIDwB2o+ES8dDZFO9KxOizpPQIMQF8Plv+3npv3sodICEhQsoJxlWvwqrX4OmV8ClE0paIMwBelcmRJ0koUGI87D/+Eke/GI9O7PkGgvVS8GhVSWPgHDoMAo63wJx7fQuTIg6RUKDEOfA7XbzyoJNfLjuOE6MepdTt1hz4PcPSh6Jf4M+j0FCT72rEqJOMOhdgKiZNE3j0Ucf9Tx/9dVXmTp16gUfz/Tp072e9+yp/5fD9uRM+v9zMTPWZUhg0NuBFfDJ1fDxYNi7TO9qhKj1JDSIc+Lv789//vMfTpw4Ua3jOT00rFmzpoJ3Vj+ny80/5q7luhnrSC6UVcenpKyFL0fCzN6wYx6oGnRBDCFqENnyiXNiMpm48847eeONN8p0y8zM5MYbb6Rbt25069aN3377zfP6VVddRefOnbnrrrtISEjwhI7rr7+eLl260LZtWz744AMAnnzySYqLi+nUqRPjxo0DwGKxADB69Gh+/PFHzzgnTpzI999/j8vl4v/+7//o1q0bHTp04P33378g07v7SCZ9pi3isy3ZuGS18V1pf8C3E+GDfpC8Vu9qhKh1ZOsnztl9993HnDlzyM31vvLP5MmTefjhh9mwYQPff/89kyZNAuC5557jyiuvZPPmzQwfPpyUlL8uRfzxxx+zadMmNm7cyFtvvUVWVhYvvfQSgYGBJCUlMWfOHK9x3HTTTcydOxcAu93OihUrGDJkCLNmzSIsLIwNGzawYcMGPvzwQw4dOnTO06iU4uP//s6wd38jtVh2RdQYx5Pgk8HwzS1wMlnvaoSoNeRASHHOQkNDmTBhAm+99RaBgYGe15cvX87OnTs9z/Py8sjPz+fXX39l3rx5AAwePJiIiAjPe9566y1PtyNHjrBv3z6ioqIqHPfVV1/Ngw8+iM1m47///S99+vQhMDCQZcuWsW3bNr777jsAcnNz2bdvH02bnv05/jabnYdnLWVJMijNfNb9Cx+w8wfY+1/ocS9c8Sj4W/SuSIgaTUKDOC8PPfQQnTt35tZbb/W85na7Wbt2rVeQgJJf7eVZuXIly5cvZ+3atQQFBdGvXz+sVusZxxsQEEC/fv1YunQpc+fOZcyYMZ5xvP322wwaNOi8pis18yQTZyxnb1GQXHahpnNa4dfXSy5bPfhFaHej3hUJUWPJ7glxXiIjIxk1ahSzZs3yvDZw4EDeeecdz/OkpCQAevfuzTfffAPAsmXLOHmy5M6Jubm5REREEBQUxO7du1m3bp2nX7PZjMPhKHfcN910E5988gmrV6/2hIRBgwYxY8YMTz979+6lsLDwrKZpzR8HGPL6ipLAIGqPgnT47jb4ehzkp+ldjRA1koQGcd4effRRr7Mo3nrrLTZu3EiHDh1o06YNM2fOBGDKlCksW7aMzp07s2TJEurXr09ISAiDBw/G6XTSoUMHnn32WXr06OEZ1p133kmHDh08B0KWNnDgQFatWsWAAQPw8/MDYNKkSbRp04bOnTvTrl077rrrLpzOqt2GWinF+wvXMPGLP8hRgZX3IGqm3Yvg3e6wda7elQhR42iqojZjIS4wm82G0WjEZDKxdu1a7rnnHk8rhN5sNjvPfLqU7w6A0upmll70QG/aNQzzPF+3fD4bfv6RptEBDM2drV9h1anNdTD0TQiK1LsSIWoEOaZBXDQpKSmMGjUKt9uNn58fH374od4lAXAyN4/JMxay6mQYaHIAQ52ycz6krIcRs6BJb72rEcLnSWgQF02LFi3YsmWL3mV4ycw6yZ3vLGBLcbQc8FhXFaTBZ9fBVc/D5ffpXY0QPq1utsMKAaSmZzLx3/NLAoOo29xOWPpUyYGS9rM7cFaIukRCg6iTjqSmcfvbi9hhj9G7FOFLtn8PHw2ArAN6VyKET5LQIOqclGPHufPdxexy1tO7FOGLMnbCB/3lBlhClENCg6hTjqSmcc97i9nlitO7FOHLbLnw9RjYMqfy9wpRh0hoEHXGkdQ0HnnvP+yQwCCqwu2E+ffCb//WuxIhfIaEBlEnZGRl84/3v2WzMx45TUKclZ/+AcuekdttC4GEBlEHFBYV8/JH37DWFi+3tRbnZs3bMP8+cFXt6qJC1FayBRW1mtPpZMaX81h2MgorcqdKcR6S5sA3E8BV/r1QhKgLJDSIWkspxdyFy5i7z00ecvMpcQHsWQzz7gK3W+9KhNCFhAZRa61cu5H316aSqUXoXYqoTbZ/D4se0rsKIXQhoUHUStv37OeVH9aTYqivdymiNtr8KSx9Wu8qhLjoJDSIWufo8XRe+/QH9hoS9C5F1GZr34GV/9K7CiEuKgkNolYpKrbyzuy5bCMBpyzeorqtnA7r39e7CiEuGtmqilpDKcV/lqxgU24AWW458FFcJP/9O+xbrncVQlwUEhpErfHH7n0sWLOdAzTQuxRRlygXfHcrZO7RuxIhqp2EBlEr5OYXMGvuAvb4tcAtV3wUF5stD74cDcUn9a5EiGoloUHUeEopvvphCduskeS6/fUuR9RVJw/B93fINRxErSahQdR467f8wdKtyRxGbnUtdLb/J1j5ot5VCFFtJDSIGi0z6ySffr+Y/X6JKNktIXzBqlfg4Eq9qxCiWkhoEDWW2+3m0+8WkKKiyHf76V2OEH9S8MO9UJyjdyFCXHASGkSNtWX7brbtS2G/itO7FCG85R2DxY/qXYUQF5yEBlEj2Wx25i5cSnpQU2zKqHc5QpS1/Tv44zu9qxDigpLQIGqkVes3kZprY589XO9ShKjY4kch95jeVQhxwZj0LkCIs5WbX8D8ZSs5EpCI235xD3505mVyYvHruApOomkGLJ0GEdr1ur9qW/8fclZ+TKMH5mAMCivTv9taQNaSt7CfSAEgeshk/Bu25uTKTyg+uAm/ek2JHlrSrF2w/X+4rflewxc1jDUH5t8LE+brXYkQF4SEBlHjLPnfajKd/iQTfPFHbjAS0f92/OOa47YVcfzThwhocil+0Y1x5mViPbwFY2hMhb1nr/iAgGZdiBn+FMrlQDlsuG2F2I7tosFt75C58BXsmYcxhdencPty6o18/iJOnKgWB1fC1rnQcbTelQhx3mT3hKhRUtMz+d+aDRw0N9Fl/CZLJP5xzQEw+AdhjorHlZ8FwMkVHxLR/1ao4NRPt60I65EdWDoMBEAzmjEEWAAN5XKilEI57WgGI3m//4eQLsPQjJLra4Wf/gG2fL2rEOK8SWgQNcapG1LlmCLIdOh/5Udnbjr29IP4N2hF0b71GEOi8KvXrOL356RhDAol68c3Sf3kQbKWvIXbbsXgH0RQq54cn/0gprBYNP9g7Mf3EtSix0WcGlGtCtLgF7mNtqj5JDSIGmPfoRSSduzhmFH/G1K57cVkzptO5N/uAIOB3LVzCb9i/Bn7UW4X9rQDhFw6hAa3voVm9idv3bcAhHUfQYNb3ybyyknkrv6C8CvGk791KZk/vETOmq8vxiSJ6rZuJmTu1bsKIc6LhAZRYyxasQpXYDjH7AG61qFcTjLnTSe4TT+CWvXEmZOGMzed1I8f4OiM23Dln+D47IdwFXjfvMgUEo0xJBr/Bq0ACGrVC3v6Aa/3nHpuimhI4fb/EXP9kzgyk3FkyxH4NZ7bAUse17sKIc6L7DAVNcLR4+ns2neQ1ODWutahlCJryb8xR8UTetlwAPximhD/wBzPe47OuI36t7xR5uwJoyUCU2g0jqyjmKMaYU3eijm6sdd7clZ/QeSg+8HtBPXnjY80A8ppq94JExfHwZ9h10Jofa3elQhxTqSlQdQIK9duRBn92W8N1LUO27GdFO74GWvKNlI/eYDUTx6g+MCGCt/vzM8i/dspnueRA+7mxKJXSf34fuwZhwi9fJSnW9HetfjFtcAUEoUhwIJ/g0tInXUfaJzxWAlRw6x4Xu6EKWosTSml9C5CiDPJyy/gielvkh7UlM2F4XqXU2steqA37Rr+1Tqybvl8Nvz8I02jAxiaO1u/wmqjG2dB+xF6VyHEWZOWBuHz1m3ehlMpdheH6F2KEBfGqldBfq+JGkhCg/BpdruDJSvXUBjckCK33GNC1BKZu2DnD3pXIcRZk9AgfNofu/dRWFjEfnuE3qUIcWH98rK0NogaR0KD8FlKKRavWI3JEk6Gw0/vcoS4sDJ2wq4FelchxFmR0CB8Vsqx4xw9nk6WMUrvUoSoHqtf17sCIc6KhAbhs7bu3IvBoHHIGqR3KUJUj+NJcKTiU3aF8DUSGoRPUkrx28YkAsKiyHCY9S5HiOrz+wd6VyBElUloED7p6PF0cvLySVfhVHTXSCFqhZ0/QOEJvasQokokNAiftG3XPjTgkFXf+0wIUe1cdtj6ld5VCFElEhqEz1FK8euGzQSERZJul7MmRB2w+TO9KxCiSiQ0CJ9zLC2D7Jw8MghHya4JURec2Asp6/SuQohKSWgQPmf77v0AHJVdE6Iu2f4fvSsQolISGoRPUUqxesMWIsJD5awJUbfsXiRXiBQ+T0KD8Cknc/M4kX0SpzkEq9xrQtQlecfg2Ca9qxDijCQ0CJ9y9Hg6Gshlo0XdJJeVFj5OQoPwKQdTjqEZDGTIWROiLtq1UO8KhDgjCQ3Cp+zYe4AQS7CcainqpuyDkLZd7yqEqJCEBuEzbDY7R1LT8AsIIsdp0rscIfSxe7HeFQhRIQkNwmekpmeCghPOALk+g6i7Dq/WuwIhKiShQfiMlNTjKJScainqtqMbweXQuwohyiWhQfiMnfsOEhgQQLaEBlGXOYvh2Ga9qxCiXBIahE9QSrH3QDKhlmDyXXJ9BlHHJf+mdwVClEtCg/AJBYVFFBVb8fMzUyAHQYq6LnmN3hUIUS4JDcIn5OYXYDBq2N0aNiWLpajjjqwHt0vvKoQoQ7bOwifk5OWjFLJrQggAWx5k7ta7CiHKkNAgfEJObj5ut5sCCQ1ClMjYpXcFQpQhoUH4hPQTWZhNJvLleAYhSmTu0bsCIcqQ0CB8wvGME/j7+0lLgxCnZEpLg/A9EhqET8g4kU2Av78c0yDEKdLSIHyQhAahO6UUJ7JP4u/nR7GEBiFKZB8Ep13vKoTwIqFB6K6gsAiX243RaMCh5J4TQgDgdkLWfr2rEMKLhAahu4KiYgxaSViQ0CBEKdkH9K5ACC8SGoTuHA4H/BkanBIahPhL3nG9KxDCi5zfJnTncDpRSgEQaHBjANyAS2m4lIZbbpMt6qp8CQ3Ct0hoELqz2/+6DfCN9TLLdFfq9BDx1/8uwH3q/9Of//m+cp9X8r7KhqEkyIiLIT9N7wqE8CKhQehOAQ6Hk6PH0/96AXXqDwpV0hKhaRg0DYPBgEHT0AwaBs2AZtDw+/N17fTuhnJe//NxXjUrPAGidBA5/f8zdTvT+8qEo9OelxecJMjUQoVlQ7QQepLQIHR3SWITnnnwDhxOJy6XC6fLhcvlxuV243I6cbndOJ0uHE4ndocDh8OB3eHE7nDicDhwOEueOx1O7E4nDqcTh8OJ88+/VocNp8OF0+XE4XThcrmAkkCBUmgGDaXAoGkoSg6vKMkomme3yZ8voNxu0DTc7pLXNQ2vQHIqoBgNGibNUBJaTgs0JX9LAo/B8FeIOd8g41aU21LiriB4uIDCYjsBQUH8rfflxIUFnNf4RTUozta7AiG8SGgQujMYDDRt3PCijU8p5RVOSv6WCiunPT9Td4fDid3uwO50YrfbcTpdJWHmVJD5M7g4nI4//5aEH5u9pJvT6cLpdOF2lwQZzaCBAs1Ayd9SQQalgQaoklYYreQtKKU84catlCeMlLS2/NXq8leIMfzZSqNR7LbRwBLDLT2bXLT5L85CUZbeFQjhRUKDqHM0TcNkMmEy+c7i73a7/wwozlJB5a/nLk/rS0nIKGl9+asVxl3qud3uwP5na0xJq0xJYLF7hRcnDoeLoMAA2rZopvfki4pY8/SuQAgvvrPVFKIOMxgMGAwGzGZZJUUpbqfeFQjhRbZQombIS4Xj28DkB0Z/MPmD0e+vv6X/N/3ZXYiaTkKD8DESGkTNkLwGvr/97PoxngoYFf31Lxs2ynuf0e/c+/Xqbq6eeSNqLwkNwsdIaBA+be2yH9i+YRUtOUjfs+3ZZS95+Mw9f7TTwkU5LSQXIuScCihV6dcomwCfJqFB+BjZYgifdjzlAE6HHaNfbbgGgQKnteRh07uWP2mGCsNFu6IiGhsL8CuUzYRulNtzuq8QvkC2BsKnud0uTH7+GP38fKjFoBZRbnAWlzxOYwEsBkB+7OrL7ZRdW8JnyA2rhE9zu11omoYT2WgKIYTeJDQIn6ZpBpRSODU/vUsR4uIzBUorg/ApEhqET/MLCMTtduHQZMMp6qCAUL0rEMKLhAbh0/z9A3G7XDglNIi6yF9Cg/AtEhqET/MPOBUaZPeEqIOkpUH4GAkNwqf5BwbhdktLg6ij/EP0rkAILxIahE/zCwjC7XJh1/xRehcjxMUmuyeEj5HQIHxaQGAQyq1wayasWrDe5QhxcQVF6l2BEF4kNAif5hcQgGYouRpeoVF+dYk6JjxB7wqE8CKhQfi0IEsY2p+X0C00yP5dUcdENNG7AiG8SGgQPi04NNzzf6FBWhpEHRPZVO8KhPAioUH4tOCQMNxuN0opCo1hepcjxMUlLQ3Cx0hoED7Nzz8A/8BAXE6ntDSIuiUgDAIj9K5CCC8SGoTPC4uIwWG3km8M17sUIS4eaWUQPkhCg/B54dGx2G1W8g0ROOTKkKKuiGqudwVClCGhQfi8mAaNsVuLQdM4aYzRuxwhLo76HfWuQIgyJDQInxdTP97zf7YpVsdKhLiIJDQIHyShQfi8yJj68Oe1GiQ0iDpDQoPwQRIahM8LiYjCbDLjdDrINkpoEHVAZKKcOSF8koQG4fM0TSM2vinWwgLyjJE4kDteilou/jK9KxCiXBIaRI0Qn9gaa1EBaBrZpji9yxGiejXqpncFQpRLQoOoEWIaxKOUG4A0c2OdqxGimiX00rsCIcoloUHUCFGxjUCBUop0CQ2iFlNh8VDvEr3LEKJcEhpEjRASHklIRBR2azFZpjjscpEnUUtpLa7SuwQhKiShQdQImqaR2OZSCvJyUJqBNHOC3iUJUT2aS2gQvktCg6gxGrdoi9vlBCDVLLcMFrWPMvpBs756lyFEhSQ0iBqjfuNEANxuN6l+TVE61yPEBZfQC/yC9a5CiApJaBA1RkBQMA2atKCoIBerwcIJUwO9SxLigtJaDNS7BCHOSEKDqFFadryM4oJ8AA77t9a5GiEuHKUZoM0wvcsQ4owkNIgaJaFFW5RSKKVI9muFSxZhUUuoxr0grJHeZQhxRrLFFTVKeFQ9Yhs2oTA/F7shkDRzE71LEuKCMFw6Tu8ShKiUhAZR43S4vD9F+bkAHJJdFKIWcJuCZNeEqBEkNIgap+klHdA0DbfbzTG/RBxyoSdR07UZJmdNiBpBQoOocYIsoTRp1Z78nCxcmpkUvxZ6lyTEeTF0Gqt3CUJUiYQGUSO163YF9uIiAPYGXKpzNUKcO1dIQ2jaR+8yhKgSk94FCHEu4pu3wWT2w+mwc9IcS7qpEbHOo3qXJc7DnhMuRn9X7Hl+8KSb5/v7k2NVfLjZQUyQBsD0v/kzpIW53GG43IquHxbSMMTAorFBADzxk5Ul+510ijPy2fBAAD7faie7WDG5h381T1XlDD3vA03TuwwhqkRaGkSN5OcfQMeefyPnRDoAuwO76FyROF+too0k3W0h6W4Lm+4MJsisMfySknDwcA8/T7eKAgPAv9fbaR3912Yt16pYc9TFtnssuJTij3QXxQ7F7K0O7u2m/7EwTlMwWudb9C5DiCqT0CBqrPbd+6Lc7pIDIs2J5Bki9C5JXCArDrlIjDSQEF71TdTRPDeL9zmZ1PmvMGDQwO4qua5HsQPMRnhljZ0HL/PDbPSBX/ddbwN/i95VCFFlEhpEjRUWGUPz9l3JzUoHTWNPoBzbUFt8vd3BmHZ/tSi887udDjMKuG1+MSeLy7/ryEP/tfLygAAMpbJAiL/Gja3NXPp+IU3DDYT5a2xIdXHdJRW3Vlwsbs2EqdcDepchxFmR0CBqtM5XDMRhs6GU4qB/O2xagN4lifNkdykW7HEysk3JIVf3dPXjwIMWku4Opr5F49Fl1jL9LNrroF6wRpcGxjLdHu/lT9LdFl4bFMCzP9t4vp8/H222M+rbIqatslX79FTE2Xo4hMTqNn4hzoWEBlGjxcU3o16jJhTm5eDSzOwJ6Kx3SeI8LdnnpHN9A7GWks1TrMWA0aBh0DTu6OLH78dcZfr5LcXFgj1OmryZz03fFfO/Q07G/6fY6z1bjpf01zLKwGdbHXwzMojtGS72ZZUdXnVTaPj1/7+LPl4hzpeEBlGjaZrGZf2HUlRQcoXIXYFdKdaCdK5KnI+vTts1cTzf7fl/3i4H7eqV3Wy9OCCAo4+EcPihEL4eEciVTU18cUOg13ue/dnG8/39cbjB9eceDoMGRY7qmY4zsScOgphWF3/EQpwnCQ2ixmt6SQfCIutRmJ+LSzOzPaiH3iWJc1TkUPx00MUNrf8KDY8vt9F+RgEdZhTw82EXbwwq2QWVmu9myJyiKg33h90OujUw0iDEQHiAxuWNjLSfUYCmQce4srs0qpMbA/5Dpl/UcQpxoWhKqfKPKhKiBjmwYzMLPnubeg2bYMDN0JzZhLhz9C5LiDIKW91I8JiP9S5DiHMiLQ2iVmjauhOxjZqSn5ON0oxsC+qpd0lClOHU/AgaKq0MouaS0CBqBYPBQJ8hoyguzEMpRbLfJWQbY/QuSwgv9m53o4XE6V2GEOdMQoOoNRo2a0WTlu3J+fO6DVuC++ldkhAexeYIgq56Wu8yhDgvEhpEraFpGr0G34jDasXtdpNubsxhv0v0LkuIEoOmg1muIyJqNgkNolap1zCB1p17kp2RCsDm4H7YNf1vSiTqtpPRlxHYVW5/LWo+CQ2i1ul19QhMRhM2azFWQzBJQVfoXZKow2z4Ezxmlt5lCHFBSGgQtY4lNJw+144hJzMNpRT7/TuQborXuyxRRxX2fAK/qMZ6lyHEBSGhQdRKrTv3pEGT5uRmZ4Kmsd4yECcmvcsSdUxWSGsiBz6qdxlCXDASGkStZDQaGXDjRBw2K06HnQJjOFuC++hdlqhD7JgIHvup3mUIcUFJaBC1VlRsQ3oNupHs9GMA7Au4lBS/FjpXJeqK3MseI6C+3F9C1C4SGkSt1qnXAGLjm5FzIh2A9cEDKTCE6VyVqO2OhnUj+uon9S5DiAtOQoOo1UxmM1ePuQu32421uBCHIYDfLNfgkkVfVJMsIomcOAdN0/QuRYgLTracotYLj6rHoFGTyMlMw+1ykWWuz1Y5DVNUA5sy4bzhI4IiYvUuRYhqIaFB1AnN23Xm0t4DOZF2FIDdAV04Zm6mc1WitjnW/kFiO/xN7zKEqDYSGkSdoGkava8eQXRcQ3KzMkDTWGMZQo4xWu/SRC1xKOxymtzwrN5lCFGtJDSIOsPs58+QsffgdDr/PL7Bn5UhwynSgvUuTdRwKYYE4ibNxWCQTaqo3WQJF3VKZL36DBl7F7knMnDY7RQZQ/kldDgOzHqXJmqoNHckAbd8Q2CInJUjaj8JDaLOSWxzKf2uG0dW2hHcLhcnTbH8FnINbuRod3F2TrqDKRz2IfUS5G6qom6Q0CDqpE49/0aXPleTmZqCUopUv0Q2B/XXuyxRgxQpP1J7v0Ri1wF6lyLERSOhQdRJmqbRe8hImrfr7DmjYm/gpWwP7KFzZaImcCgje9o8Rpurbta7FCEuKgkNos4yGo0MHDWJmPrxZGccB2BbUC/+kOAgzsChjGyOv40OIx6TCziJOkdCg6jT/AMCGTbhASyhYeRkpgHwhwQHUQGHMrI2ejSdJ0zHaDTqXY4QF52EBlHnWcIiuPGOxwkKCT0tOFyuc2XCl9iViVVhN9Dttlcw+/npXY4QupDQIAQQEh7pCQ4nM04Fh54SHAQANmVmZdgIet71JoHBFr3LEUI3mlJK6V2EEL4iPyeb7z98hcK8XCLqxQFwSfEGLi1aJSdk1lHFyp9fIkbR946XJDCIOk9aGoQopaTF4f8IDg3j5J8HR+4O7MYayzW4kH3YdU2WO4SfY26l353/qlJgMBqNdOrUiXbt2jFy5EiKiorOanypqamMGDECgKSkJH788UdPtwULFvDSSy+d3QQIcYFJS4MQ5SjIPckPn7xBdmYaUbEN0TSNeo4jXJG/AH9l1bs8cREku+qxLeE2Bt38MH7+AVXqx2KxUFBQAMC4cePo0qULjzzyyDmNf/bs2WzcuJF33nnnnPoXojpIS4MQ5bCERTDizido1LQVmakpuN1uMszxLA0bS64hQu/yRDVLcjRjT7vHGTzh0SoHhtNdccUV7N+/n+zsbK6//no6dOhAjx492LZtGwC//PILnTp1olOnTlx66aXk5+dz+PBh2rVrh91u5x//+Adz586lU6dOzJ07l9mzZ3P//feTm5tLkyZNcLvdABQVFREfH4/D4eDAgQMMHjyYLl26cMUVV7B79+4LNk+EAAkNQlQoICiYayc8QJsuvcg4dhin00GBMYJlYWM5bk7QuzxRDdwYWGHviPOq6QwYefs5nyXhdDpZsmQJ7du3Z8qUKVx66aVs27aN6dOnM2HCBABeffVV3n33XZKSkli9ejWBgYGe/v38/Hj++ecZPXo0SUlJjB492tMtLCyMjh078ssvvwCwcOFCBg0ahNls5s477+Ttt99m06ZNvPrqq9x7773nMTeEKMukdwFC+DKznx8DbpxIZEx9Vi2eS0RMHAQG8XPIjbQtXk/74jUYkD18tUERASx1dqf92Kk0b9f5nIZRXFxMp06dgJKWhttvv53u3bvz/fffA3DllVeSlZVFbm4uvXr14pFHHmHcuHHccMMNNGrUqMrjGT16NHPnzqV///58/fXX3HvvvRQUFLBmzRpGjhzpeZ/NZjun6RCiIhIahKiEwWCga7+rCY+OZclX72OzFhEaEc2OoB5kmBvRs+BHgt35epcpzkOyqs9qc38G3vEk9RqeeytSYGAgSUlJXq+Vd9iYpmk8+eSTXHPNNfz444/06NGD5cuXExBQtV0hw4YN4+9//zvZ2dls2rSJK6+8ksLCQsLDw8uMX4gLSXZPCFFFzdt1ZswDzxIYbPEc55BpbsSSsJs5Yk7UuzxxDlwYWWnvwNrocVx3/z/PKzBUpE+fPsyZMweAlStXEh0dTWhoKAcOHKB9+/Y88cQTdO3atczxByEhIeTnlx9GLRYLl112GZMnT2bo0KEYjUZCQ0Np2rQp3377LVASVrZu3XrBp0fUbRIahDgL0XGNuOm+Z0uOczh6GFtxEXZDIKtDr2djUH85LbMGydHC+aq4L359H2bE3U8SEh5ZLeOZOnUqGzdupEOHDjz55JN8+umnALz55pu0a9eOjh07EhgYyNVXX+3VX//+/dm5c6fnQMjTjR49mi+++MLreIc5c+Ywa9YsOnbsSNu2bZk/f361TJOou+SUSyHOgVKKvds2sOzbjzGaTIRH1QMg1JnFZYU/Uc95TOcKRUXcaGx3JbLBfDmDxt1Po8RL9C5JiBpDQoMQ5+FkZhpLvnqfjGPJRMY1xGQyg1Ik2v6gU9FquaaDj8kyRLO0sC0h7Qbyt+ETCLKE6l2SEDWKhAYhzpPDbmfjLz/y+4qFmAMCCYuMQdM0AtyFdC5cSRO7nCuvN7vmx3pXe7a6Euk7bDxtu12BwSB7Z4U4WxIahLhATqQdZcV/PuPY4b1ExNTHP6DkvPv69kN0LfwfIe4cfQusow4YElle0JK4NpfT99oxnl1JQoizJ6FBiAvI5XKxa/MaVi38CpfLRUS9+hgMBjTlJtH2B+2K1hKkCvUus044YazHL8WtyQ5uzpXDb6ZZ605omtx2TIjzIaFBiGpQkHuSVYu/YU/SOgItIYSER6FpGkbloKV1C22KN8jxDtUk1xDBWnd79lhj6dZ/CF36Xu1p9RFCnB8JDUJUE6UUxw7t5dcl33E8eR/BYZFYQsMBMLuttLFuoFXxZkw49S20lsgzRLBRtWNbYRSNWrSj37VjiI6r+lUWhRCVk9AgRDVzu90k793O6sVzycpIJTQimsDgEAD83UW0tCbRwppEgCrWudKaKdtYjyRasy0/gpiGTekzdDSNml0iuyKEqAYSGoS4SFwuF/u3b+LXH78hPyebkIgoT3gwKgdNbTtpad1CuCtL50p9nwsDR/xasNXVgoP5fkTHNaLn4BtoeklHOStCiGokoUGIi8xht7Nn63p+/99CcrMzCbKEYgmL9PwyrudIoZV1Cw3tBzHg1rla31KsBbPPvz2bihqQazcQFduAnoMkLAhxsUhoEEInLpeLlH3b+f1/iziecrDkypLRsRiNJfeR83cXEW/fSxPbbmKcx6irje1OTBzza8ZBQzO251lwK43m7bpwaa8B1E9oLrshhLiIJDQIoTOlFJmpKWxbt5Kdm37D7XYRFBJGcEiY5wsxyJVHE/suEmy7iXCd0Lni6ufExHFzE5L9WrLHGkl+oRX/gEA6XzGI1p17EhoRpXeJQtRJEhqE8CFFBXkc2r2NP9avJP3IIZSmERIWQUCQxRMgQp1ZNHAcIs6RTD3H0Vpz9kWxFkS6OZ5Uc1P22GLIK7ACivoJzenUawBNL+mA2c9f7zKFqNMkNAjho3KzMzm4M4lt637m5Il0NM2AJSzcK0AYlJMY5zHi7MnUdyQT4cqoMbsx7Jo/GaZGpJsbc9wUz3GrH0X5OaA0YuOb0LZbH5q0bFdtd58UQpw9CQ1C+DilFFnpxziwYwt7t/1OdnoqACY/P4JDI/DzD/C81+y2EuHKINKZQYQzgwhXBqGubAzou5q7MJJrjOKkqR7ZpnqcMMaR7gghPz8Pt8uBUlCvQWPaXtaHpi3bExoZrWu9QojySWgQooYpzM8lLeUAh3b/wYGdm7EWFaKUwuznT2CwBb+AIK8zCYzKQbgzk3DXCSzuXIJduVjceQS58glQhRcsUNi0AIoNFooMFooNFgoNoeQao8g1RpFnCMdqtVJcmIfTYQelERIRRfO2nYlv3prYRk3kjpNC1AASGoSowZRSZGccJ/3oIVIP7+d48n6yM48DGig3RpMZ/6Bg/AMCMZrMZc400JSbAHchAaoIk3L89cCBUTkxKQcG5cKtGXFpRlyYcGsmXBhxaSYcmh/FhmCKDRZcmhmlFE6HA5u1EFtREW6XE81gwO12ExkTR8OmrUho2ZbYRk2xhEXImQ9C1DASGoSoZRx2Ozkn0jh5Io20lEMcTzlATlY61qLCki9pTUO53aAUBpMZg9GAwWD882HAYCz5XzMYUG43Srlxu90otxu3+vOvy4XTYcftdpfckEvTcCsFShEQFExM/Xji4psRXb8R4VGxRMTEyUGMQtQCEhqEqCMcdhsFuScpKsijuDCfwvxc8nOysVuLsdmKsdusOGzF2G02HDYrTqcDo9GEyeyHyWzGZPbDbPbDaPbD3z+QsKgYQsIjCQwOIcgSSmBwCIHBIZjMZr0nVQhRTSQ0CCGEEKJK5LqrQgghhKgSCQ1CCCGEqBIJDUIIIYSoEgkNQgghhKgSCQ1CCCGEqBIJDUIIIYSoEgkNQgghhKgSCQ1CCCGEqBIJDUIIIYSoEgkNQgghhKgSCQ1CCCGEqBIJDUIIIYSoEgkNQgghhKgSCQ1CCCGEqJL/B0HkhibQkia8AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "depth: 14\n",
      "[('D048054', 5.767921864669643), ('D009036', 4.41781496083627), ('D031622', 2.51895566289842), ('D048052', 4.6844874905734555), ('D050378', 3.3495475867625455), ('D016699', 5.526703117489916), ('D011992', 5.530842597577165), ('D018734', 3.5392682588523012), ('D018649', 1.373468954268958), ('D054465', 5.215367086975726), ('D019413', 1.765761545065012), ('D032384', 0.5751909555149916), ('D005289', 2.776832395536996), ('D010041', 0.8187908317295078), ('D018900', 3.7768516651091013), ('D011181', 3.4390632174625964), ('D019597', 1.6863855565907806), ('D002520', 3.62234254954545), ('D013712', 1.4066984218596923), ('D027582', 0.8275150049260919), ('D031446', 1.806731141442648), ('D002188', 0.7544525537591988), ('D029661', 0.5166614078458547), ('D018728', 1.918046905979519), ('D000177', 3.1318063463917394), ('D046011', 1.3843199897572964), ('D029662', 2.567313044196583), ('D050636', 2.776253649364985), ('D018773', 3.5326592352829485), ('D051659', 1.7989677910836637), ('D000071476', 0.3146578165500549), ('D009117', 5.164985672757599), ('D028482', 3.800630325912618), ('D017839', 3.8113430667725927), ('D010098', 0.900769174187825), ('D032323', 0.5647927784225816), ('D000070004', 1.0591693403963118), ('D029798', 2.2293291108625173), ('D031669', 4.17981157758353), ('D006224', 5.543244435643301), ('D017181', 5.10856128565316), ('D031211', 5.2186414936797245), ('D029787', 0.19957579689344981), ('D017686', 4.668881150454616), ('D048053', 6.298750012662698), ('D002080', 1.0511128727225214), ('D046009', 0.8388512161773258), ('D064792', 1.0), ('D013556', 3.2509941951899415), ('D058504', 2.2448507385537493), ('D008045', 0.8941459636013966), ('D018411', 2.78807550691457), ('D019974', 2.731396462737191), ('D006793', 3.625853775777787), ('D000068181', 1.3363083371271443), ('D000072878', 1.0), ('D000068239', 0.8856331400864799), ('D011922', 1.5231475678395847), ('D017208', 6.439234897612841), ('D000068220', 6.496187678620268), ('D014370', 1.5682902804019607), ('D057146', 2.779273261088608), ('D018418', 3.5085801395888376), ('D010542', 3.2847627835629996), ('D002679', 2.824065731184761), ('D008647', 4.57761005955255), ('D006801', 0.7760883622305486), ('D004330', 3.2810228664907335), ('D008817', 3.04283789708313), ('D010691', 1.2976703321250274), ('D018417', 3.521047512885675), ('D033622', 1.1232693791726653), ('D006071', 3.373668788118953), ('D000084522', 0.27657725885470513), ('D002367', 4.653180810600282), ('D003412', 3.872705458296289), ('D046010', 2.6858094132404884), ('D002415', 2.2192136495988204), ('D017207', 4.4124653377803496), ('D020318', 5.507212788032742), ('D048528', 1.7844807440284207), ('D016513', 2.914285699875547), ('D018345', 3.8301887534377888), ('D054772', 2.336249060878414), ('D008251', 3.7377540154162654), ('D011923', 7.938715818356832), ('D008819', 1.0152492310873136), ('D010215', 3.740666508139668), ('D009033', 1.432535838743869), ('D012453', 2.7782809704204516), ('D012843', 0.36636663078825793), ('D008252', 6.704014810055145), ('D000852', 3.052993223589416), ('D048530', 6.078877234491035), ('D008254', 7.574246180067289), ('D004901', 3.0373251509675265), ('D000330', 0.6459430254122178), ('D003465', 1.535739674957303), ('D008253', 3.745559002508202), ('D002522', 1.9788971911169266)]\n",
      "len(dui_subset): 10873\n",
      "neg: 2670 Ratio: 24.556240228085667\n",
      "pos: 8203 Ratio: 75.44375977190514\n",
      "len(dui_subset_single_level): 9\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n"
     ]
    }
   ],
   "source": [
    "# iterate over max_depth and create a histogram of the maximum correlation lags of duis in dui_subset, then plot it\n",
    "max_depth = 13\n",
    "single_level_duis_mcclags = []\n",
    "single_level_duis = []\n",
    "multi_level_duis_mcclags = []\n",
    "greater_one_percentages = []\n",
    "greater_one_std = []\n",
    "greater_one_maxs = []\n",
    "greater_one_mins = []\n",
    "for depth in range(max_depth + 1):\n",
    "    print('depth:', depth + 1)\n",
    "    dui_subset = [dui for level in range(depth + 1) for dui in level2duis[level] if dui in dui2aucratiochild]\n",
    "    dui_subset_mcclags = [dui2aucratiochild[dui] for dui in dui_subset]\n",
    "    print(list(zip(dui_subset[-100:], dui_subset_mcclags[-100:])))\n",
    "    print('len(dui_subset):', len(dui_subset_mcclags))\n",
    "    neg = len([lag for lag in dui_subset_mcclags if lag <= 1])\n",
    "    pos = len([lag for lag in dui_subset_mcclags if lag > 1])\n",
    "    ppos = pos / (len(dui_subset_mcclags) + 0.000000001) * 100\n",
    "    # pzero = zero / (len(dui_subset_mcclags) + 0.000000001) * 100\n",
    "    pneg = neg / (len(dui_subset_mcclags) + 0.000000001) * 100\n",
    "    # print the true value and percentage of negative, zero, and positive maximum correlation lags add 0.000000001 to avoid division by zero\n",
    "    print('neg:', neg, 'Ratio:', pneg)\n",
    "    # print('zero:', zero, 'Ratio:', pzero)\n",
    "    print('pos:', pos, 'Ratio:', ppos)\n",
    "\n",
    "    if neg + pos == 0:\n",
    "        print('=' * 50)\n",
    "        continue\n",
    "\n",
    "    dui_subset_single_level = [dui for dui in level2duis[depth] if dui in dui2aucratiochild]\n",
    "    single_level_duis.append(dui_subset_single_level)\n",
    "    print('len(dui_subset_single_level):', len(dui_subset_single_level))\n",
    "    dui_subset_single_level_mcclags = [dui2aucratiochild[dui] for dui in dui_subset_single_level]\n",
    "    single_level_duis_mcclags.append(dui_subset_single_level_mcclags)\n",
    "    greater_one_maxs.append([dui_subset_single_level[np.argmax(dui_subset_single_level_mcclags)], np.max(dui_subset_single_level_mcclags)])\n",
    "    greater_one_mins.append([dui_subset_single_level[np.argmin(dui_subset_single_level_mcclags)], np.min(dui_subset_single_level_mcclags)])\n",
    "    dui_greater_one_std = np.std(dui_subset_single_level_mcclags)\n",
    "    greater_one_std.append(dui_greater_one_std)\n",
    "    greater_one_percentages.append(ppos)\n",
    "    multi_level_duis_mcclags.append(dui_subset_mcclags)\n",
    "    \n",
    "    # plot the three accuracy scores as a pie graph. choose the one pie graph that is empty in the middle   \n",
    "    labels = 'Negative', 'Positive'\n",
    "    sizes = [neg, pos]\n",
    "    explode = (0.1, 0)\n",
    "    fig1, ax1 = plt.subplots()\n",
    "    ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "    ax1.axis('equal')\n",
    "    fig1.patch.set_facecolor('white')\n",
    "    plt.title('Percentage of Negative, Zero, and Positive Maximum Correlation Lags of ' + str(len(dui_subset)) + ' DUIs')\n",
    "    plt.show()\n",
    "\n",
    "    # plot the histogram of the maximum correlation lags of dui_subset_mcclags. bound the x-axis to -3 to 5 with 1 intervals\n",
    "    plt.hist(dui_subset_mcclags, bins=range(-3, 5, 1))\n",
    "    plt.title('Histogram of Maximum Correlation Lags of ' + str(len(dui_subset)) + ' DUIs')\n",
    "    plt.xlabel('Maximum Correlation Lag')\n",
    "    plt.ylabel('Number of DUIs')\n",
    "    plt.show()\n",
    "\n",
    "   #save pos / (len(dui_subset_mcclags) + 0.000000001) * 100 to a txt file named like STIDX_<START_FROM_IDX>_DEPTH_<depth>.txt at data/SF11/results\n",
    "    with open(LAG_DATA_ADDRESS + SF_TAG + '/results/DEPTH_' + str(depth) + '_IMP.txt', 'w') as f:\n",
    "        f.write(str(ppos))\n",
    "    \n",
    "    print('=' * 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'U000002': 'Anatomy [A]',\n",
       " 'U000012': 'Organisms [B]',\n",
       " 'U000006': 'Diseases [C]',\n",
       " 'U000005': 'Chemicals and Drugs [D]',\n",
       " 'U000001': 'Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]',\n",
       " 'U000014': 'Psychiatry and Psychology [F]',\n",
       " 'U000004': 'Phenomena and Processes [G]',\n",
       " 'U000013': 'Disciplines and Occupations [H]',\n",
       " 'U000003': 'Anthropology, Education, Sociology and Social Phenomena [I]',\n",
       " 'U000009': 'Technology, Industry, Agriculture [J]',\n",
       " 'U000010': 'Information Sience [K]',\n",
       " 'U000011': 'Named Groups [M]',\n",
       " 'U000008': 'Health Care [N]',\n",
       " 'U000016': 'Publication Characteristics [V]',\n",
       " 'U000015': 'Geographicals [Z] '}"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zero2duis = {\n",
    "    'Anatomy [A]': 'U000002',\n",
    "    'Organisms [B]': 'U000012',\n",
    "    'Diseases [C]': 'U000006',\n",
    "    'Chemicals and Drugs [D]': 'U000005',\n",
    "    'Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]': 'U000001',\n",
    "    'Psychiatry and Psychology [F]': 'U000014',\n",
    "    'Phenomena and Processes [G]': 'U000004',\n",
    "    'Disciplines and Occupations [H]': 'U000013',\n",
    "    'Anthropology, Education, Sociology and Social Phenomena [I]': 'U000003',\n",
    "    'Technology, Industry, Agriculture [J]': 'U000009',\n",
    "    'Information Sience [K]': 'U000010',\n",
    "    'Named Groups [M]': 'U000011',\n",
    "    'Health Care [N]': 'U000008',\n",
    "    'Publication Characteristics [V]': 'U000016',\n",
    "    'Geographicals [Z] ': 'U000015',\n",
    "}\n",
    "dui2zero = {v: k for k, v in zero2duis.items()}\n",
    "dui2zero"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['D007254']"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dui = 'D000077321'\n",
    "zero2chilren = {zdui: [] for zdui in level2duis[0]}\n",
    "\n",
    "for zero_level_dui in level2duis[0]:\n",
    "    for first_level_dui in level2duis[1]:\n",
    "        parent = dui2parents[first_level_dui][-2]\n",
    "        if zero_level_dui == parent:\n",
    "            zero2chilren[zero_level_dui] += [first_level_dui]\n",
    "\n",
    "zero2chilren['U000010']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DUI: U000010\n",
      "Name: Information Sience [K]\n",
      "len(dui_subset): 362\n",
      "neg: 60 Ratio: 31.746031745863778\n",
      "zero: 46 Ratio: 24.338624338495567\n",
      "pos: 83 Ratio: 43.91534391511156\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000004\n",
      "Name: Phenomena and Processes [G]\n",
      "len(dui_subset): 1349\n",
      "neg: 153 Ratio: 20.105124835716026\n",
      "zero: 145 Ratio: 19.053876478292963\n",
      "pos: 463 Ratio: 60.8409986858596\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000011\n",
      "Name: Named Groups [M]\n",
      "len(dui_subset): 0\n",
      "neg: 0 Ratio: 0.0\n",
      "zero: 0 Ratio: 0.0\n",
      "pos: 0 Ratio: 0.0\n",
      "==================================================\n",
      "DUI: U000012\n",
      "Name: Organisms [B]\n",
      "len(dui_subset): 3848\n",
      "neg: 181 Ratio: 22.624999999971717\n",
      "zero: 142 Ratio: 17.749999999977813\n",
      "pos: 477 Ratio: 59.624999999925464\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000003\n",
      "Name: Anthropology, Education, Sociology and Social Phenomena [I]\n",
      "len(dui_subset): 142\n",
      "neg: 34 Ratio: 43.03797468299952\n",
      "zero: 15 Ratio: 18.987341771911552\n",
      "pos: 30 Ratio: 37.974683543823105\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000013\n",
      "Name: Disciplines and Occupations [H]\n",
      "len(dui_subset): 855\n",
      "neg: 96 Ratio: 25.39682539675821\n",
      "zero: 84 Ratio: 22.222222222163435\n",
      "pos: 198 Ratio: 52.3809523808138\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000006\n",
      "Name: Diseases [C]\n",
      "len(dui_subset): 3662\n",
      "neg: 245 Ratio: 21.138912855892027\n",
      "zero: 237 Ratio: 20.448662640189433\n",
      "pos: 677 Ratio: 58.41242450383226\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000015\n",
      "Name: Geographicals [Z] \n",
      "len(dui_subset): 20\n",
      "neg: 6 Ratio: 74.999999990625\n",
      "zero: 0 Ratio: 0.0\n",
      "pos: 2 Ratio: 24.999999996875\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000001\n",
      "Name: Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]\n",
      "len(dui_subset): 1640\n",
      "neg: 120 Ratio: 15.564202334610163\n",
      "zero: 131 Ratio: 16.990920881949428\n",
      "pos: 520 Ratio: 67.4448767833107\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000002\n",
      "Name: Anatomy [A]\n",
      "len(dui_subset): 1131\n",
      "neg: 66 Ratio: 13.924050632882018\n",
      "zero: 79 Ratio: 16.666666666631507\n",
      "pos: 329 Ratio: 69.40928270027551\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000009\n",
      "Name: Technology, Industry, Agriculture [J]\n",
      "len(dui_subset): 164\n",
      "neg: 13 Ratio: 27.0833333327691\n",
      "zero: 13 Ratio: 27.0833333327691\n",
      "pos: 22 Ratio: 45.83333333237847\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000014\n",
      "Name: Psychiatry and Psychology [F]\n",
      "len(dui_subset): 338\n",
      "neg: 36 Ratio: 25.899280575353245\n",
      "zero: 23 Ratio: 16.546762589809017\n",
      "pos: 80 Ratio: 57.553956834118324\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000005\n",
      "Name: Chemicals and Drugs [D]\n",
      "len(dui_subset): 6470\n",
      "neg: 321 Ratio: 16.385911179164683\n",
      "zero: 206 Ratio: 10.51556916793746\n",
      "pos: 1432 Ratio: 73.09851965284682\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================================\n",
      "DUI: U000008\n",
      "Name: Health Care [N]\n",
      "len(dui_subset): 0\n",
      "neg: 0 Ratio: 0.0\n",
      "zero: 0 Ratio: 0.0\n",
      "pos: 0 Ratio: 0.0\n",
      "==================================================\n"
     ]
    }
   ],
   "source": [
    "zero_level_lags = {}\n",
    "\n",
    "# iterate over max_depth and create a histogram of the maximum correlation lags of duis in dui_subset, then plot it\n",
    "for zero_level_dui in level2duis[0]:\n",
    "    print('DUI:', zero_level_dui)\n",
    "    print('Name:', dui2zero[zero_level_dui])\n",
    "    dui_subset = []\n",
    "    for first_level_child in zero2chilren[zero_level_dui]:\n",
    "        dui_subset += dui2children[first_level_child]\n",
    "    print('len(dui_subset):', len(dui_subset))\n",
    "    dui_subset_mcclags = [dui2mcclagchild[dui] for dui in dui_subset if dui in dui2mcclagchild]\n",
    "    neg = len([lag for lag in dui_subset_mcclags if lag < 0])\n",
    "    zero = len([lag for lag in dui_subset_mcclags if lag == 0])\n",
    "    pos = len([lag for lag in dui_subset_mcclags if lag > 0])\n",
    "    # print the true value and percentage of negative, zero, and positive maximum correlation lags add 0.000000001 to avoid division by zero\n",
    "    print('neg:', neg, 'Ratio:', neg / (len(dui_subset_mcclags) + 0.000000001) * 100)\n",
    "    print('zero:', zero, 'Ratio:', zero / (len(dui_subset_mcclags) + 0.000000001) * 100)\n",
    "    print('pos:', pos, 'Ratio:', pos / (len(dui_subset_mcclags) + 0.000000001) * 100)\n",
    "\n",
    "    if neg + zero + pos == 0:\n",
    "        print('=' * 50)\n",
    "        continue\n",
    "\n",
    "    zero_level_lags[dui2zero[zero_level_dui]] = dui_subset_mcclags\n",
    "    \n",
    "    # plot the three accuracy scores as a pie graph. choose the one pie graph that is empty in the middle   \n",
    "    labels = 'Negative', 'Zero', 'Positive'\n",
    "    sizes = [neg, zero, pos]\n",
    "    explode = (0.1, 0, 0)\n",
    "    fig1, ax1 = plt.subplots()\n",
    "    ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "    ax1.axis('equal')\n",
    "    fig1.patch.set_facecolor('white')\n",
    "    plt.title('Percentage of Negative, Zero, and Positive Maximum Correlation Lags of ' + str(len(dui_subset)) + ' DUIs')\n",
    "    plt.show()\n",
    "\n",
    "    # plot the histogram of the maximum correlation lags of dui_subset_mcclags. bound the x-axis to -11 to 11 with 1 intervals\n",
    "    plt.hist(dui_subset_mcclags, bins=range(-11, 11, 1), color='royalblue')\n",
    "    # plt.title('Histogram of MCC Lags', fontsize=15)\n",
    "    plt.xlabel('Lag', fontsize=15)\n",
    "    plt.ylabel('Number of MeSH Terms', fontsize=15)\n",
    "    plt.tick_params(axis='both', which='major', labelsize=15)\n",
    "    plt.subplots_adjust(bottom=0.15)\n",
    "    plt.savefig('plots/citation/' + zero_level_dui + '_' + dui2zero[zero_level_dui] + '_hist.png', dpi=300)\n",
    "    plt.show()\n",
    "\n",
    "    print('=' * 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'2010': 7,\n",
       " '2011': 14,\n",
       " '2012': 9,\n",
       " '2013': 17,\n",
       " '2014': 11,\n",
       " '2015': 9,\n",
       " '2016': 19,\n",
       " '2017': 11,\n",
       " '2018': 7,\n",
       " '2019': 8,\n",
       " '2020': 10,\n",
       " '2021': 9}"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def return_total_count_of_dui(dui, the_dict):\n",
    "    count = 0\n",
    "    for year in years:\n",
    "        if year in the_dict[dui]:\n",
    "            count += len(the_dict[dui][year])\n",
    "    return count\n",
    "\n",
    "def return_annual_count_of_dui(dui, the_dict):\n",
    "    year2count = {}\n",
    "    for year in years:\n",
    "        if year in the_dict[dui]:\n",
    "            year2count[year] = len(the_dict[dui][year])\n",
    "    return year2count\n",
    "\n",
    "# return_total_count_of_dui('D007254', dui2pubfreq)\n",
    "return_annual_count_of_dui('D007254', dui2pubfreq)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D000081186'"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "name2dui = {v: k for k, v in dui2name.items()}\n",
    "name2dui['Blockchain']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DUI: U000010\n",
      "Name: Information Sience [K]\n",
      "len(dui_subset): 362\n",
      "top_5_pos_children auc: {'Amino Acid Sequence': 5.37363861661788, 'Image Processing, Computer-Assisted': 2.797133918962664, 'Information Services': 2.5809706314448713, 'Computer Simulation': 2.5784586981758104, 'Documentation': 2.4749303554576074}\n",
      "top_5_pos_children mcc: {'Amino Acid Sequence': 5, 'Image Processing, Computer-Assisted': 2, 'Information Services': 8, 'Computer Simulation': 6, 'Documentation': 0}\n",
      "top_5_pos_children2annual_count: {'Amino Acid Sequence': {'2010': 13571, '2011': 13706, '2012': 13807, '2013': 13496, '2014': 13329, '2015': 12903, '2016': 10891, '2017': 9816, '2018': 9865, '2019': 9669, '2020': 9930, '2021': 9546}, 'Image Processing, Computer-Assisted': {'2010': 11743, '2011': 13164, '2012': 13465, '2013': 14354, '2014': 14414, '2015': 14042, '2016': 12233, '2017': 11779, '2018': 12206, '2019': 11876, '2020': 11987, '2021': 12371}, 'Information Services': {'2010': 43112, '2011': 47092, '2012': 47919, '2013': 47144, '2014': 49335, '2015': 48344, '2016': 43753, '2017': 42339, '2018': 42967, '2019': 44068, '2020': 46077, '2021': 46560}, 'Computer Simulation': {'2010': 12549, '2011': 14006, '2012': 15415, '2013': 15814, '2014': 16937, '2015': 16303, '2016': 15791, '2017': 16389, '2018': 17332, '2019': 18265, '2020': 19767, '2021': 20287}, 'Documentation': {'2010': 42696, '2011': 46507, '2012': 47337, '2013': 46557, '2014': 48784, '2015': 47756, '2016': 43110, '2017': 41632, '2018': 42174, '2019': 43040, '2020': 44762, '2021': 45107}}\n",
      "top_5_neg_children auc: {'Communications Media': 0.2919533886850007, 'Information Storage and Retrieval': 0.4594991353406586, 'Artificial Intelligence': 1.0454850411550334, 'Algorithms': 1.1127001527093565, 'Tomography, X-Ray Computed': 1.1238469457507387}\n",
      "top_5_neg_children mcc: {'Communications Media': -7, 'Information Storage and Retrieval': -5, 'Artificial Intelligence': 0, 'Algorithms': 0, 'Tomography, X-Ray Computed': 3}\n",
      "top_5_neg_children2annual_count: {'Amino Acid Sequence': {'2010': 13571, '2011': 13706, '2012': 13807, '2013': 13496, '2014': 13329, '2015': 12903, '2016': 10891, '2017': 9816, '2018': 9865, '2019': 9669, '2020': 9930, '2021': 9546}, 'Image Processing, Computer-Assisted': {'2010': 11743, '2011': 13164, '2012': 13465, '2013': 14354, '2014': 14414, '2015': 14042, '2016': 12233, '2017': 11779, '2018': 12206, '2019': 11876, '2020': 11987, '2021': 12371}, 'Information Services': {'2010': 43112, '2011': 47092, '2012': 47919, '2013': 47144, '2014': 49335, '2015': 48344, '2016': 43753, '2017': 42339, '2018': 42967, '2019': 44068, '2020': 46077, '2021': 46560}, 'Computer Simulation': {'2010': 12549, '2011': 14006, '2012': 15415, '2013': 15814, '2014': 16937, '2015': 16303, '2016': 15791, '2017': 16389, '2018': 17332, '2019': 18265, '2020': 19767, '2021': 20287}, 'Documentation': {'2010': 42696, '2011': 46507, '2012': 47337, '2013': 46557, '2014': 48784, '2015': 47756, '2016': 43110, '2017': 41632, '2018': 42174, '2019': 43040, '2020': 44762, '2021': 45107}}\n",
      "====================================================================================================\n",
      "DUI: U000004\n",
      "Name: Phenomena and Processes [G]\n",
      "len(dui_subset): 1349\n",
      "top_5_pos_children auc: {'Protein Binding': 5.627852504138951, 'Protein Structure, Tertiary': 4.721192182812166, 'Membrane Potentials': 4.338820588147993, 'Species Specificity': 4.119508939099183, 'Binding Sites': 3.940593751960506}\n",
      "top_5_pos_children mcc: {'Protein Binding': 6, 'Protein Structure, Tertiary': 4, 'Membrane Potentials': 4, 'Species Specificity': 3, 'Binding Sites': 4}\n",
      "top_5_pos_children2annual_count: {'Protein Binding': {'2010': 10508, '2011': 12096, '2012': 11743, '2013': 12556, '2014': 11929, '2015': 11784, '2016': 12701, '2017': 12518, '2018': 11698, '2019': 11913, '2020': 12112, '2021': 11931}, 'Protein Structure, Tertiary': {'2010': 7014, '2011': 7668, '2012': 7882, '2013': 7581, '2014': 7554, '2015': 7180, '2016': 6744, '2017': 6666, '2018': 6440, '2019': 6323, '2020': 6843, '2021': 6642}, 'Membrane Potentials': {'2010': 4864, '2011': 5213, '2012': 5174, '2013': 5209, '2014': 5452, '2015': 5436, '2016': 5284, '2017': 5326, '2018': 5264, '2019': 4980, '2020': 4996, '2021': 4606}, 'Species Specificity': {'2010': 5061, '2011': 5784, '2012': 6075, '2013': 5674, '2014': 5928, '2015': 5342, '2016': 5359, '2017': 4494, '2018': 4512, '2019': 4332, '2020': 4366, '2021': 4141}, 'Binding Sites': {'2010': 8005, '2011': 8217, '2012': 8525, '2013': 8523, '2014': 8675, '2015': 8540, '2016': 8609, '2017': 8763, '2018': 8480, '2019': 8286, '2020': 8647, '2021': 8404}}\n",
      "top_5_neg_children auc: {'Life Cycle Stages': 0.4470004351810487, 'Metabolic Networks and Pathways': 0.7272039910437158, 'Immunity': 0.866851850675549, 'Morphogenesis': 0.9110396451883718, 'Diet': 0.9186691578002761}\n",
      "top_5_neg_children mcc: {'Life Cycle Stages': -6, 'Metabolic Networks and Pathways': 0, 'Immunity': -1, 'Morphogenesis': 0, 'Diet': 0}\n",
      "top_5_neg_children2annual_count: {'Protein Binding': {'2010': 10508, '2011': 12096, '2012': 11743, '2013': 12556, '2014': 11929, '2015': 11784, '2016': 12701, '2017': 12518, '2018': 11698, '2019': 11913, '2020': 12112, '2021': 11931}, 'Protein Structure, Tertiary': {'2010': 7014, '2011': 7668, '2012': 7882, '2013': 7581, '2014': 7554, '2015': 7180, '2016': 6744, '2017': 6666, '2018': 6440, '2019': 6323, '2020': 6843, '2021': 6642}, 'Membrane Potentials': {'2010': 4864, '2011': 5213, '2012': 5174, '2013': 5209, '2014': 5452, '2015': 5436, '2016': 5284, '2017': 5326, '2018': 5264, '2019': 4980, '2020': 4996, '2021': 4606}, 'Species Specificity': {'2010': 5061, '2011': 5784, '2012': 6075, '2013': 5674, '2014': 5928, '2015': 5342, '2016': 5359, '2017': 4494, '2018': 4512, '2019': 4332, '2020': 4366, '2021': 4141}, 'Binding Sites': {'2010': 8005, '2011': 8217, '2012': 8525, '2013': 8523, '2014': 8675, '2015': 8540, '2016': 8609, '2017': 8763, '2018': 8480, '2019': 8286, '2020': 8647, '2021': 8404}}\n",
      "====================================================================================================\n",
      "DUI: U000011\n",
      "Name: Named Groups [M]\n",
      "len(dui_subset): 0\n",
      "index -1 is out of bounds for axis 0 with size 0\n",
      "Error: U000011\n",
      "====================================================================================================\n",
      "DUI: U000012\n",
      "Name: Organisms [B]\n",
      "len(dui_subset): 3848\n",
      "top_5_pos_children auc: {'Rats, Wistar': 6.439234897612841, 'Influenza A virus': 5.620963006439732, 'Influenzavirus A': 5.616290753450169, 'Orthomyxoviridae': 5.5656756445875555, 'Cricetinae': 5.543244435643301}\n",
      "top_5_pos_children mcc: {'Rats, Wistar': 9, 'Influenza A virus': 5, 'Influenzavirus A': 5, 'Orthomyxoviridae': 5, 'Cricetinae': 6}\n",
      "top_5_pos_children2annual_count: {'Rats, Wistar': {'2010': 9022, '2011': 9687, '2012': 9945, '2013': 9463, '2014': 9940, '2015': 9435, '2016': 9542, '2017': 9590, '2018': 9544, '2019': 9393, '2020': 9729, '2021': 9126}, 'Influenza A virus': {'2010': 2841, '2011': 3193, '2012': 2625, '2013': 2426, '2014': 2405, '2015': 2216, '2016': 2150, '2017': 2075, '2018': 2143, '2019': 2287, '2020': 2325, '2021': 2454}, 'Influenzavirus A': {'2010': 2848, '2011': 3200, '2012': 2635, '2013': 2435, '2014': 2416, '2015': 2220, '2016': 2168, '2017': 2081, '2018': 2151, '2019': 2303, '2020': 2341, '2021': 2469}, 'Orthomyxoviridae': {'2010': 3052, '2011': 3472, '2012': 2932, '2013': 2715, '2014': 2715, '2015': 2499, '2016': 2442, '2017': 2383, '2018': 2455, '2019': 2658, '2020': 2703, '2021': 2836}, 'Cricetinae': {'2010': 2434, '2011': 2603, '2012': 2511, '2013': 2263, '2014': 2298, '2015': 2295, '2016': 1988, '2017': 2149, '2018': 2062, '2019': 1925, '2020': 2090, '2021': 2264}}\n",
      "top_5_neg_children auc: {'Oryza': 0.5219660163071614, 'RNA Viruses': 0.562063959142577, 'Poaceae': 0.6588165587058054, 'Mammals': 0.7449217544279769, 'Vertebrates': 0.7575273857017042}\n",
      "top_5_neg_children mcc: {'Oryza': -5, 'RNA Viruses': 0, 'Poaceae': -1, 'Mammals': 0, 'Vertebrates': 0}\n",
      "top_5_neg_children2annual_count: {'Rats, Wistar': {'2010': 9022, '2011': 9687, '2012': 9945, '2013': 9463, '2014': 9940, '2015': 9435, '2016': 9542, '2017': 9590, '2018': 9544, '2019': 9393, '2020': 9729, '2021': 9126}, 'Influenza A virus': {'2010': 2841, '2011': 3193, '2012': 2625, '2013': 2426, '2014': 2405, '2015': 2216, '2016': 2150, '2017': 2075, '2018': 2143, '2019': 2287, '2020': 2325, '2021': 2454}, 'Influenzavirus A': {'2010': 2848, '2011': 3200, '2012': 2635, '2013': 2435, '2014': 2416, '2015': 2220, '2016': 2168, '2017': 2081, '2018': 2151, '2019': 2303, '2020': 2341, '2021': 2469}, 'Orthomyxoviridae': {'2010': 3052, '2011': 3472, '2012': 2932, '2013': 2715, '2014': 2715, '2015': 2499, '2016': 2442, '2017': 2383, '2018': 2455, '2019': 2658, '2020': 2703, '2021': 2836}, 'Cricetinae': {'2010': 2434, '2011': 2603, '2012': 2511, '2013': 2263, '2014': 2298, '2015': 2295, '2016': 1988, '2017': 2149, '2018': 2062, '2019': 1925, '2020': 2090, '2021': 2264}}\n",
      "====================================================================================================\n",
      "DUI: U000003\n",
      "Name: Anthropology, Education, Sociology and Social Phenomena [I]\n",
      "len(dui_subset): 142\n",
      "top_5_pos_children auc: {'Professional Competence': 1.6366880820698888, 'Clinical Competence': 1.5126802842090499, 'Education, Professional': 0.9706767990408783, 'Leisure Activities': 0.76859308589606, 'Curriculum': 0.6444076898285516}\n",
      "top_5_pos_children mcc: {'Professional Competence': 2, 'Clinical Competence': 2, 'Education, Professional': 1, 'Leisure Activities': -2, 'Curriculum': 0}\n",
      "top_5_pos_children2annual_count: {'Professional Competence': {'2010': 3183, '2011': 3524, '2012': 3822, '2013': 3840, '2014': 4269, '2015': 4589, '2016': 4646, '2017': 4863, '2018': 5028, '2019': 4916, '2020': 4769, '2021': 4326}, 'Clinical Competence': {'2010': 2590, '2011': 2920, '2012': 3206, '2013': 3237, '2014': 3638, '2015': 4032, '2016': 4161, '2017': 4324, '2018': 4509, '2019': 4402, '2020': 4349, '2021': 4020}, 'Education, Professional': {'2010': 4522, '2011': 5394, '2012': 5599, '2013': 5766, '2014': 6371, '2015': 6895, '2016': 7319, '2017': 7617, '2018': 7663, '2019': 8297, '2020': 9107, '2021': 8824}, 'Leisure Activities': {'2010': 4897, '2011': 5935, '2012': 6033, '2013': 6440, '2014': 7185, '2015': 7682, '2016': 7908, '2017': 8225, '2018': 8711, '2019': 8666, '2020': 9373, '2021': 9657}, 'Curriculum': {'2010': 1767, '2011': 2114, '2012': 2292, '2013': 2293, '2014': 2508, '2015': 2750, '2016': 2910, '2017': 3225, '2018': 3400, '2019': 3614, '2020': 4128, '2021': 4101}}\n",
      "top_5_neg_children auc: {'Recreation': 0.5611383313978894, 'Sports': 0.5653319366355388, 'Schools': 0.615304526804076, 'Curriculum': 0.6444076898285516, 'Leisure Activities': 0.76859308589606}\n",
      "top_5_neg_children mcc: {'Recreation': -5, 'Sports': -5, 'Schools': -2, 'Curriculum': 0, 'Leisure Activities': -2}\n",
      "top_5_neg_children2annual_count: {'Professional Competence': {'2010': 3183, '2011': 3524, '2012': 3822, '2013': 3840, '2014': 4269, '2015': 4589, '2016': 4646, '2017': 4863, '2018': 5028, '2019': 4916, '2020': 4769, '2021': 4326}, 'Clinical Competence': {'2010': 2590, '2011': 2920, '2012': 3206, '2013': 3237, '2014': 3638, '2015': 4032, '2016': 4161, '2017': 4324, '2018': 4509, '2019': 4402, '2020': 4349, '2021': 4020}, 'Education, Professional': {'2010': 4522, '2011': 5394, '2012': 5599, '2013': 5766, '2014': 6371, '2015': 6895, '2016': 7319, '2017': 7617, '2018': 7663, '2019': 8297, '2020': 9107, '2021': 8824}, 'Leisure Activities': {'2010': 4897, '2011': 5935, '2012': 6033, '2013': 6440, '2014': 7185, '2015': 7682, '2016': 7908, '2017': 8225, '2018': 8711, '2019': 8666, '2020': 9373, '2021': 9657}, 'Curriculum': {'2010': 1767, '2011': 2114, '2012': 2292, '2013': 2293, '2014': 2508, '2015': 2750, '2016': 2910, '2017': 3225, '2018': 3400, '2019': 3614, '2020': 4128, '2021': 4101}}\n",
      "====================================================================================================\n",
      "DUI: U000013\n",
      "Name: Disciplines and Occupations [H]\n",
      "len(dui_subset): 855\n",
      "top_5_pos_children auc: {'Practice Guidelines as Topic': 7.177340748957755, 'Crystallography, X-Ray': 6.210346672931202, 'Immunohistochemistry': 5.129518660178731, 'X-Ray Diffraction': 4.157984958028188, 'Biochemistry': 4.065441121076982}\n",
      "top_5_pos_children mcc: {'Practice Guidelines as Topic': 3, 'Crystallography, X-Ray': 6, 'Immunohistochemistry': 4, 'X-Ray Diffraction': 4, 'Biochemistry': 4}\n",
      "top_5_pos_children2annual_count: {'Practice Guidelines as Topic': {'2010': 3459, '2011': 4153, '2012': 4473, '2013': 4779, '2014': 4986, '2015': 5130, '2016': 5364, '2017': 5311, '2018': 5468, '2019': 5686, '2020': 5535, '2021': 3583}, 'Crystallography, X-Ray': {'2010': 5215, '2011': 5252, '2012': 5117, '2013': 5253, '2014': 5080, '2015': 4622, '2016': 4359, '2017': 4062, '2018': 3906, '2019': 3821, '2020': 3853, '2021': 3758}, 'Immunohistochemistry': {'2010': 13717, '2011': 14381, '2012': 13459, '2013': 12791, '2014': 12349, '2015': 12476, '2016': 11342, '2017': 10133, '2018': 8764, '2019': 8584, '2020': 8578, '2021': 8682}, 'X-Ray Diffraction': {'2010': 7362, '2011': 7412, '2012': 7412, '2013': 7821, '2014': 7721, '2015': 7055, '2016': 6704, '2017': 6211, '2018': 6099, '2019': 5991, '2020': 6181, '2021': 5922}, 'Biochemistry': {'2010': 18469, '2011': 19978, '2012': 19370, '2013': 18491, '2014': 18774, '2015': 18884, '2016': 18511, '2017': 17681, '2018': 16776, '2019': 17413, '2020': 18182, '2021': 18944}}\n",
      "top_5_neg_children auc: {'Science': 0.5692492825960451, 'Microbial Sensitivity Tests': 0.5748466983530884, 'Research': 0.5798828147247453, 'Qualitative Research': 0.6645445097758849, 'Empirical Research': 0.7595845125375564}\n",
      "top_5_neg_children mcc: {'Science': -3, 'Microbial Sensitivity Tests': -3, 'Research': -3, 'Qualitative Research': -3, 'Empirical Research': -1}\n",
      "top_5_neg_children2annual_count: {'Practice Guidelines as Topic': {'2010': 3459, '2011': 4153, '2012': 4473, '2013': 4779, '2014': 4986, '2015': 5130, '2016': 5364, '2017': 5311, '2018': 5468, '2019': 5686, '2020': 5535, '2021': 3583}, 'Crystallography, X-Ray': {'2010': 5215, '2011': 5252, '2012': 5117, '2013': 5253, '2014': 5080, '2015': 4622, '2016': 4359, '2017': 4062, '2018': 3906, '2019': 3821, '2020': 3853, '2021': 3758}, 'Immunohistochemistry': {'2010': 13717, '2011': 14381, '2012': 13459, '2013': 12791, '2014': 12349, '2015': 12476, '2016': 11342, '2017': 10133, '2018': 8764, '2019': 8584, '2020': 8578, '2021': 8682}, 'X-Ray Diffraction': {'2010': 7362, '2011': 7412, '2012': 7412, '2013': 7821, '2014': 7721, '2015': 7055, '2016': 6704, '2017': 6211, '2018': 6099, '2019': 5991, '2020': 6181, '2021': 5922}, 'Biochemistry': {'2010': 18469, '2011': 19978, '2012': 19370, '2013': 18491, '2014': 18774, '2015': 18884, '2016': 18511, '2017': 17681, '2018': 16776, '2019': 17413, '2020': 18182, '2021': 18944}}\n",
      "====================================================================================================\n",
      "DUI: U000006\n",
      "Name: Diseases [C]\n",
      "len(dui_subset): 3662\n",
      "top_5_pos_children auc: {'Coronary Disease': 5.091259624713167, 'Hepatitis C': 4.353829607864381, 'Myocardial Ischemia': 4.177180104694716, 'Hepatitis, Viral, Human': 4.087373170759892, 'Hepatitis': 3.972153085117323}\n",
      "top_5_pos_children mcc: {'Coronary Disease': 4, 'Hepatitis C': 4, 'Myocardial Ischemia': 3, 'Hepatitis, Viral, Human': 3, 'Hepatitis': 3}\n",
      "top_5_pos_children2annual_count: {'Coronary Disease': {'2010': 2189, '2011': 2366, '2012': 2236, '2013': 2188, '2014': 2120, '2015': 2007, '2016': 2223, '2017': 2184, '2018': 2159, '2019': 2128, '2020': 2319, '2021': 2328}, 'Hepatitis C': {'2010': 1926, '2011': 2389, '2012': 2457, '2013': 2504, '2014': 2672, '2015': 2715, '2016': 2793, '2017': 2708, '2018': 2794, '2019': 2729, '2020': 2688, '2021': 2680}, 'Myocardial Ischemia': {'2010': 3945, '2011': 4404, '2012': 4154, '2013': 4149, '2014': 4220, '2015': 4081, '2016': 4469, '2017': 4331, '2018': 4222, '2019': 4391, '2020': 4774, '2021': 4804}, 'Hepatitis, Viral, Human': {'2010': 3325, '2011': 3947, '2012': 4144, '2013': 4397, '2014': 4600, '2015': 4713, '2016': 4845, '2017': 4810, '2018': 4932, '2019': 4991, '2020': 5018, '2021': 5168}, 'Hepatitis': {'2010': 3503, '2011': 4139, '2012': 4347, '2013': 4604, '2014': 4851, '2015': 4965, '2016': 5116, '2017': 5038, '2018': 5217, '2019': 5270, '2020': 5346, '2021': 5494}}\n",
      "top_5_neg_children auc: {'Pneumonia': 0.5632675873554902, 'Tuberculosis': 0.6338856295322371, 'Seizures': 0.6948574124316247, 'Lung Diseases': 0.725861451354716, 'Pneumonia, Viral': 0.8148251535797022}\n",
      "top_5_neg_children mcc: {'Pneumonia': 1, 'Tuberculosis': -5, 'Seizures': 0, 'Lung Diseases': 1, 'Pneumonia, Viral': -4}\n",
      "top_5_neg_children2annual_count: {'Coronary Disease': {'2010': 2189, '2011': 2366, '2012': 2236, '2013': 2188, '2014': 2120, '2015': 2007, '2016': 2223, '2017': 2184, '2018': 2159, '2019': 2128, '2020': 2319, '2021': 2328}, 'Hepatitis C': {'2010': 1926, '2011': 2389, '2012': 2457, '2013': 2504, '2014': 2672, '2015': 2715, '2016': 2793, '2017': 2708, '2018': 2794, '2019': 2729, '2020': 2688, '2021': 2680}, 'Myocardial Ischemia': {'2010': 3945, '2011': 4404, '2012': 4154, '2013': 4149, '2014': 4220, '2015': 4081, '2016': 4469, '2017': 4331, '2018': 4222, '2019': 4391, '2020': 4774, '2021': 4804}, 'Hepatitis, Viral, Human': {'2010': 3325, '2011': 3947, '2012': 4144, '2013': 4397, '2014': 4600, '2015': 4713, '2016': 4845, '2017': 4810, '2018': 4932, '2019': 4991, '2020': 5018, '2021': 5168}, 'Hepatitis': {'2010': 3503, '2011': 4139, '2012': 4347, '2013': 4604, '2014': 4851, '2015': 4965, '2016': 5116, '2017': 5038, '2018': 5217, '2019': 5270, '2020': 5346, '2021': 5494}}\n",
      "====================================================================================================\n",
      "DUI: U000015\n",
      "Name: Geographicals [Z] \n",
      "len(dui_subset): 20\n",
      "top_5_pos_children auc: {'Parks, Recreational': 0.3191971468631933}\n",
      "top_5_pos_children mcc: {'Parks, Recreational': -5}\n",
      "top_5_pos_children2annual_count: {'Parks, Recreational': {'2010': 6, '2011': 21, '2012': 13, '2013': 14, '2014': 42, '2015': 155, '2016': 191, '2017': 226, '2018': 287, '2019': 330, '2020': 342, '2021': 425}}\n",
      "top_5_neg_children auc: {'Parks, Recreational': 0.3191971468631933}\n",
      "top_5_neg_children mcc: {'Parks, Recreational': -5}\n",
      "top_5_neg_children2annual_count: {'Parks, Recreational': {'2010': 6, '2011': 21, '2012': 13, '2013': 14, '2014': 42, '2015': 155, '2016': 191, '2017': 226, '2018': 287, '2019': 330, '2020': 342, '2021': 425}}\n",
      "====================================================================================================\n",
      "DUI: U000001\n",
      "Name: Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]\n",
      "len(dui_subset): 1640\n",
      "top_5_pos_children auc: {'Drug Administration Schedule': 7.637696396182935, 'Angiography': 5.6039880654861305, 'Stents': 5.385651769275222, 'Diagnostic Errors': 5.3351621758328776, 'Microbiological Techniques': 5.0979540834911985}\n",
      "top_5_pos_children mcc: {'Drug Administration Schedule': 8, 'Angiography': 4, 'Stents': 5, 'Diagnostic Errors': 4, 'Microbiological Techniques': 4}\n",
      "top_5_pos_children2annual_count: {'Drug Administration Schedule': {'2010': 3122, '2011': 3095, '2012': 3088, '2013': 3162, '2014': 3223, '2015': 3232, '2016': 3091, '2017': 3181, '2018': 3085, '2019': 2925, '2020': 2684, '2021': 2251}, 'Angiography': {'2010': 5821, '2011': 6660, '2012': 6526, '2013': 6904, '2014': 6708, '2015': 7194, '2016': 7425, '2017': 7475, '2018': 7204, '2019': 7186, '2020': 8017, '2021': 7767}, 'Stents': {'2010': 2861, '2011': 3361, '2012': 3233, '2013': 3490, '2014': 3306, '2015': 3348, '2016': 3639, '2017': 3569, '2018': 3497, '2019': 3587, '2020': 4022, '2021': 3705}, 'Diagnostic Errors': {'2010': 3305, '2011': 3633, '2012': 3804, '2013': 3959, '2014': 3959, '2015': 3905, '2016': 3837, '2017': 3736, '2018': 3662, '2019': 3503, '2020': 3482, '2021': 3020}, 'Microbiological Techniques': {'2010': 6954, '2011': 8199, '2012': 8232, '2013': 8138, '2014': 7943, '2015': 7583, '2016': 7750, '2017': 7775, '2018': 7627, '2019': 7390, '2020': 7934, '2021': 7719}}\n",
      "top_5_neg_children auc: {'Muscle Strength': 0.6324609686959353, 'Tomography, Optical': 0.7084708872951111, 'Tomography, Optical Coherence': 0.8401483217704151, 'Vision Tests': 0.8770312710660239, 'Respiratory Therapy': 0.8835768215425752}\n",
      "top_5_neg_children mcc: {'Muscle Strength': -1, 'Tomography, Optical': -1, 'Tomography, Optical Coherence': -1, 'Vision Tests': -1, 'Respiratory Therapy': 0}\n",
      "top_5_neg_children2annual_count: {'Drug Administration Schedule': {'2010': 3122, '2011': 3095, '2012': 3088, '2013': 3162, '2014': 3223, '2015': 3232, '2016': 3091, '2017': 3181, '2018': 3085, '2019': 2925, '2020': 2684, '2021': 2251}, 'Angiography': {'2010': 5821, '2011': 6660, '2012': 6526, '2013': 6904, '2014': 6708, '2015': 7194, '2016': 7425, '2017': 7475, '2018': 7204, '2019': 7186, '2020': 8017, '2021': 7767}, 'Stents': {'2010': 2861, '2011': 3361, '2012': 3233, '2013': 3490, '2014': 3306, '2015': 3348, '2016': 3639, '2017': 3569, '2018': 3497, '2019': 3587, '2020': 4022, '2021': 3705}, 'Diagnostic Errors': {'2010': 3305, '2011': 3633, '2012': 3804, '2013': 3959, '2014': 3959, '2015': 3905, '2016': 3837, '2017': 3736, '2018': 3662, '2019': 3503, '2020': 3482, '2021': 3020}, 'Microbiological Techniques': {'2010': 6954, '2011': 8199, '2012': 8232, '2013': 8138, '2014': 7943, '2015': 7583, '2016': 7750, '2017': 7775, '2018': 7627, '2019': 7390, '2020': 7934, '2021': 7719}}\n",
      "====================================================================================================\n",
      "DUI: U000002\n",
      "Name: Anatomy [A]\n",
      "len(dui_subset): 1131\n",
      "top_5_pos_children auc: {'HEK293 Cells': 7.279978945834723, 'Cell Line, Tumor': 4.8435122761731035, 'Peripheral Nervous System': 4.150414115643387, 'Frontal Lobe': 4.079829479903577, 'Chromosomes': 3.9044938989102547}\n",
      "top_5_pos_children mcc: {'HEK293 Cells': 2, 'Cell Line, Tumor': 2, 'Peripheral Nervous System': 7, 'Frontal Lobe': 3, 'Chromosomes': 5}\n",
      "top_5_pos_children2annual_count: {'HEK293 Cells': {'2010': 1762, '2011': 4593, '2012': 5637, '2013': 6247, '2014': 6965, '2015': 6903, '2016': 6836, '2017': 7041, '2018': 7950, '2019': 8213, '2020': 8399, '2021': 8018}, 'Cell Line, Tumor': {'2010': 18714, '2011': 21643, '2012': 23349, '2013': 24950, '2014': 28109, '2015': 29397, '2016': 30214, '2017': 30746, '2018': 32942, '2019': 34535, '2020': 34451, '2021': 34159}, 'Peripheral Nervous System': {'2010': 5998, '2011': 6541, '2012': 6317, '2013': 6649, '2014': 6779, '2015': 6773, '2016': 6978, '2017': 7085, '2018': 7408, '2019': 7476, '2020': 8415, '2021': 8413}, 'Frontal Lobe': {'2010': 2790, '2011': 3149, '2012': 3256, '2013': 3309, '2014': 3715, '2015': 3863, '2016': 3885, '2017': 3979, '2018': 4107, '2019': 4397, '2020': 4429, '2021': 4529}, 'Chromosomes': {'2010': 5507, '2011': 6037, '2012': 5881, '2013': 5539, '2014': 5500, '2015': 5453, '2016': 5470, '2017': 4992, '2018': 4991, '2019': 5277, '2020': 5614, '2021': 5660}}\n",
      "top_5_neg_children auc: {'Lung': 0.7883056413658699, 'Skin': 0.8923348714296769, 'Endothelial Cells': 1.0225483471410979, 'Heart': 1.0554305426921569, 'Plant Leaves': 1.1684947319268504}\n",
      "top_5_neg_children mcc: {'Lung': 0, 'Skin': -2, 'Endothelial Cells': 0, 'Heart': 0, 'Plant Leaves': -5}\n",
      "top_5_neg_children2annual_count: {'HEK293 Cells': {'2010': 1762, '2011': 4593, '2012': 5637, '2013': 6247, '2014': 6965, '2015': 6903, '2016': 6836, '2017': 7041, '2018': 7950, '2019': 8213, '2020': 8399, '2021': 8018}, 'Cell Line, Tumor': {'2010': 18714, '2011': 21643, '2012': 23349, '2013': 24950, '2014': 28109, '2015': 29397, '2016': 30214, '2017': 30746, '2018': 32942, '2019': 34535, '2020': 34451, '2021': 34159}, 'Peripheral Nervous System': {'2010': 5998, '2011': 6541, '2012': 6317, '2013': 6649, '2014': 6779, '2015': 6773, '2016': 6978, '2017': 7085, '2018': 7408, '2019': 7476, '2020': 8415, '2021': 8413}, 'Frontal Lobe': {'2010': 2790, '2011': 3149, '2012': 3256, '2013': 3309, '2014': 3715, '2015': 3863, '2016': 3885, '2017': 3979, '2018': 4107, '2019': 4397, '2020': 4429, '2021': 4529}, 'Chromosomes': {'2010': 5507, '2011': 6037, '2012': 5881, '2013': 5539, '2014': 5500, '2015': 5453, '2016': 5470, '2017': 4992, '2018': 4991, '2019': 5277, '2020': 5614, '2021': 5660}}\n",
      "====================================================================================================\n",
      "DUI: U000009\n",
      "Name: Technology, Industry, Agriculture [J]\n",
      "len(dui_subset): 164\n",
      "top_5_pos_children auc: {'History': 2.662618744236529, 'Ethics': 2.1718010570933854, 'Morals': 2.0375470126409545, 'Philosophy': 1.775618150097247, 'History, 21st Century': 1.43648508771658}\n",
      "top_5_pos_children mcc: {'History': 1, 'Ethics': 1, 'Morals': 0, 'Philosophy': 1, 'History, 21st Century': 1}\n",
      "top_5_pos_children2annual_count: {'History': {'2010': 3425, '2011': 5039, '2012': 4286, '2013': 4142, '2014': 4961, '2015': 5137, '2016': 4999, '2017': 4757, '2018': 5088, '2019': 5423, '2020': 5683, '2021': 5326}, 'Ethics': {'2010': 1218, '2011': 1439, '2012': 1429, '2013': 1468, '2014': 1497, '2015': 1613, '2016': 1834, '2017': 1801, '2018': 1806, '2019': 1958, '2020': 2002, '2021': 1661}, 'Morals': {'2010': 1721, '2011': 2153, '2012': 2103, '2013': 2147, '2014': 2158, '2015': 2296, '2016': 2575, '2017': 2638, '2018': 2646, '2019': 2875, '2020': 3148, '2021': 2905}, 'Philosophy': {'2010': 2714, '2011': 3277, '2012': 3175, '2013': 3296, '2014': 3390, '2015': 3553, '2016': 3787, '2017': 3890, '2018': 3977, '2019': 4122, '2020': 4551, '2021': 4365}, 'History, 21st Century': {'2010': 1120, '2011': 1863, '2012': 1624, '2013': 1652, '2014': 1889, '2015': 2055, '2016': 1982, '2017': 2054, '2018': 2288, '2019': 2379, '2020': 2433, '2021': 2219}}\n",
      "top_5_neg_children auc: {'History, 21st Century': 1.43648508771658, 'Philosophy': 1.775618150097247, 'Morals': 2.0375470126409545, 'Ethics': 2.1718010570933854, 'History': 2.662618744236529}\n",
      "top_5_neg_children mcc: {'History, 21st Century': 1, 'Philosophy': 1, 'Morals': 0, 'Ethics': 1, 'History': 1}\n",
      "top_5_neg_children2annual_count: {'History': {'2010': 3425, '2011': 5039, '2012': 4286, '2013': 4142, '2014': 4961, '2015': 5137, '2016': 4999, '2017': 4757, '2018': 5088, '2019': 5423, '2020': 5683, '2021': 5326}, 'Ethics': {'2010': 1218, '2011': 1439, '2012': 1429, '2013': 1468, '2014': 1497, '2015': 1613, '2016': 1834, '2017': 1801, '2018': 1806, '2019': 1958, '2020': 2002, '2021': 1661}, 'Morals': {'2010': 1721, '2011': 2153, '2012': 2103, '2013': 2147, '2014': 2158, '2015': 2296, '2016': 2575, '2017': 2638, '2018': 2646, '2019': 2875, '2020': 3148, '2021': 2905}, 'Philosophy': {'2010': 2714, '2011': 3277, '2012': 3175, '2013': 3296, '2014': 3390, '2015': 3553, '2016': 3787, '2017': 3890, '2018': 3977, '2019': 4122, '2020': 4551, '2021': 4365}, 'History, 21st Century': {'2010': 1120, '2011': 1863, '2012': 1624, '2013': 1652, '2014': 1889, '2015': 2055, '2016': 1982, '2017': 2054, '2018': 2288, '2019': 2379, '2020': 2433, '2021': 2219}}\n",
      "====================================================================================================\n",
      "DUI: U000014\n",
      "Name: Psychiatry and Psychology [F]\n",
      "len(dui_subset): 338\n",
      "top_5_pos_children auc: {'Depressive Disorder': 4.74608413439148, 'Learning': 3.1428783783499177, 'Substance-Related Disorders': 3.0982327654002737, 'Mood Disorders': 3.074916162134749, 'Memory': 2.9174989782625396}\n",
      "top_5_pos_children mcc: {'Depressive Disorder': 3, 'Learning': 4, 'Substance-Related Disorders': 3, 'Mood Disorders': 4, 'Memory': 4}\n",
      "top_5_pos_children2annual_count: {'Depressive Disorder': {'2010': 3476, '2011': 3595, '2012': 3861, '2013': 3917, '2014': 4163, '2015': 4395, '2016': 4570, '2017': 4660, '2018': 4907, '2019': 4855, '2020': 4663, '2021': 4746}, 'Learning': {'2010': 12155, '2011': 14730, '2012': 14751, '2013': 14818, '2014': 15708, '2015': 16103, '2016': 16581, '2017': 16905, '2018': 17449, '2019': 17387, '2020': 18306, '2021': 18345}, 'Substance-Related Disorders': {'2010': 5932, '2011': 6775, '2012': 6693, '2013': 6880, '2014': 7394, '2015': 7607, '2016': 7752, '2017': 8151, '2018': 8164, '2019': 8946, '2020': 9361, '2021': 9605}, 'Mood Disorders': {'2010': 4820, '2011': 5042, '2012': 5499, '2013': 5528, '2014': 5894, '2015': 6075, '2016': 6316, '2017': 6389, '2018': 6642, '2019': 6525, '2020': 6423, '2021': 6600}, 'Memory': {'2010': 5218, '2011': 6163, '2012': 6351, '2013': 6345, '2014': 6679, '2015': 6742, '2016': 6920, '2017': 7105, '2018': 7359, '2019': 7282, '2020': 7450, '2021': 6908}}\n",
      "top_5_neg_children auc: {'Cognition': 0.34646529981405233, 'Decision Making': 0.48898687058888646, 'Thinking': 0.6900707809170087, 'Neurodevelopmental Disorders': 0.9450904065085434, 'Mental Processes': 1.0955529005613012}\n",
      "top_5_neg_children mcc: {'Cognition': -6, 'Decision Making': -6, 'Thinking': -4, 'Neurodevelopmental Disorders': -1, 'Mental Processes': 0}\n",
      "top_5_neg_children2annual_count: {'Depressive Disorder': {'2010': 3476, '2011': 3595, '2012': 3861, '2013': 3917, '2014': 4163, '2015': 4395, '2016': 4570, '2017': 4660, '2018': 4907, '2019': 4855, '2020': 4663, '2021': 4746}, 'Learning': {'2010': 12155, '2011': 14730, '2012': 14751, '2013': 14818, '2014': 15708, '2015': 16103, '2016': 16581, '2017': 16905, '2018': 17449, '2019': 17387, '2020': 18306, '2021': 18345}, 'Substance-Related Disorders': {'2010': 5932, '2011': 6775, '2012': 6693, '2013': 6880, '2014': 7394, '2015': 7607, '2016': 7752, '2017': 8151, '2018': 8164, '2019': 8946, '2020': 9361, '2021': 9605}, 'Mood Disorders': {'2010': 4820, '2011': 5042, '2012': 5499, '2013': 5528, '2014': 5894, '2015': 6075, '2016': 6316, '2017': 6389, '2018': 6642, '2019': 6525, '2020': 6423, '2021': 6600}, 'Memory': {'2010': 5218, '2011': 6163, '2012': 6351, '2013': 6345, '2014': 6679, '2015': 6742, '2016': 6920, '2017': 7105, '2018': 7359, '2019': 7282, '2020': 7450, '2021': 6908}}\n",
      "====================================================================================================\n",
      "DUI: U000005\n",
      "Name: Chemicals and Drugs [D]\n",
      "len(dui_subset): 6470\n",
      "top_5_pos_children auc: {'Superoxide Dismutase': 7.985589885204766, 'Interleukin-1beta': 7.577388139353719, 'Glycosyltransferases': 7.103222370787395, 'Mitogen-Activated Protein Kinases': 6.860028374071047, 'Interleukin-6': 6.849082646087343}\n",
      "top_5_pos_children mcc: {'Superoxide Dismutase': 8, 'Interleukin-1beta': 6, 'Glycosyltransferases': 9, 'Mitogen-Activated Protein Kinases': 8, 'Interleukin-6': 6}\n",
      "top_5_pos_children2annual_count: {'Superoxide Dismutase': {'2010': 1992, '2011': 2400, '2012': 2543, '2013': 2491, '2014': 2437, '2015': 2456, '2016': 2476, '2017': 2451, '2018': 2564, '2019': 2512, '2020': 2438, '2021': 2235}, 'Interleukin-1beta': {'2010': 1504, '2011': 1678, '2012': 1903, '2013': 1914, '2014': 2232, '2015': 2281, '2016': 2242, '2017': 2303, '2018': 2474, '2019': 2439, '2020': 2478, '2021': 2336}, 'Glycosyltransferases': {'2010': 2251, '2011': 2572, '2012': 2566, '2013': 2700, '2014': 2679, '2015': 2577, '2016': 2703, '2017': 2734, '2018': 2801, '2019': 2653, '2020': 2875, '2021': 2892}, 'Mitogen-Activated Protein Kinases': {'2010': 4697, '2011': 4649, '2012': 4584, '2013': 4434, '2014': 4447, '2015': 4351, '2016': 4451, '2017': 4249, '2018': 4111, '2019': 3824, '2020': 3868, '2021': 3812}, 'Interleukin-6': {'2010': 2660, '2011': 3112, '2012': 3304, '2013': 3436, '2014': 3781, '2015': 3670, '2016': 3703, '2017': 3857, '2018': 3517, '2019': 3608, '2020': 3783, '2021': 3849}}\n",
      "top_5_neg_children auc: {'Particulate Matter': 0.3273965087633984, 'Carbon': 0.39474883929661797, 'Cellulose': 0.4058135701624437, 'Plastics': 0.43667713490055404, 'Viral Vaccines': 0.4722994224688805}\n",
      "top_5_neg_children mcc: {'Particulate Matter': -5, 'Carbon': -9, 'Cellulose': -5, 'Plastics': -3, 'Viral Vaccines': -5}\n",
      "top_5_neg_children2annual_count: {'Superoxide Dismutase': {'2010': 1992, '2011': 2400, '2012': 2543, '2013': 2491, '2014': 2437, '2015': 2456, '2016': 2476, '2017': 2451, '2018': 2564, '2019': 2512, '2020': 2438, '2021': 2235}, 'Interleukin-1beta': {'2010': 1504, '2011': 1678, '2012': 1903, '2013': 1914, '2014': 2232, '2015': 2281, '2016': 2242, '2017': 2303, '2018': 2474, '2019': 2439, '2020': 2478, '2021': 2336}, 'Glycosyltransferases': {'2010': 2251, '2011': 2572, '2012': 2566, '2013': 2700, '2014': 2679, '2015': 2577, '2016': 2703, '2017': 2734, '2018': 2801, '2019': 2653, '2020': 2875, '2021': 2892}, 'Mitogen-Activated Protein Kinases': {'2010': 4697, '2011': 4649, '2012': 4584, '2013': 4434, '2014': 4447, '2015': 4351, '2016': 4451, '2017': 4249, '2018': 4111, '2019': 3824, '2020': 3868, '2021': 3812}, 'Interleukin-6': {'2010': 2660, '2011': 3112, '2012': 3304, '2013': 3436, '2014': 3781, '2015': 3670, '2016': 3703, '2017': 3857, '2018': 3517, '2019': 3608, '2020': 3783, '2021': 3849}}\n",
      "====================================================================================================\n",
      "DUI: U000008\n",
      "Name: Health Care [N]\n",
      "len(dui_subset): 0\n",
      "index -1 is out of bounds for axis 0 with size 0\n",
      "Error: U000008\n",
      "====================================================================================================\n"
     ]
    }
   ],
   "source": [
    "zero_level_percentages = {}\n",
    "\n",
    "# Function to calculate the percentile threshold\n",
    "def calculate_percentile_threshold(data, percentile):\n",
    "    return np.percentile(data, percentile)\n",
    "\n",
    "# iterate over max_depth and create a histogram of the maximum correlation lags of duis in dui_subset, then plot it\n",
    "zero_level_info = {}\n",
    "for zero_level_dui in level2duis[0]:\n",
    "    try:\n",
    "    # if True:\n",
    "        print('DUI:', zero_level_dui)\n",
    "        print('Name:', dui2zero[zero_level_dui])\n",
    "        dui_subset = []\n",
    "        for first_level_child in zero2chilren[zero_level_dui]:\n",
    "            dui_subset += dui2children[first_level_child]\n",
    "        print('len(dui_subset):', len(dui_subset))\n",
    "        \n",
    "        dui_subset_auc_dict = {dui2name[dui]: dui2aucratiochild[dui] for dui in dui_subset if dui in dui2aucratiochild}\n",
    "        dui_subset_mcclags_dict = {dui: dui2mcclagchild[name2dui[dui]] for dui in dui_subset_auc_dict if name2dui[dui] in dui2mcclagchild}\n",
    "        # Calculate the dynamic threshold based on percentile\n",
    "        all_counts = [return_total_count_of_dui(name2dui[dui], dui2pubfreqchild) for dui in dui_subset_mcclags_dict]\n",
    "        percentile_threshold = calculate_percentile_threshold(all_counts, 90)  \n",
    "\n",
    "        to_be_removed = []\n",
    "        for dui in dui_subset_mcclags_dict:\n",
    "            # add dui to the to_be_removed list if its total count is below the percentile threshold\n",
    "            if return_total_count_of_dui(name2dui[dui], dui2pubfreqchild) < percentile_threshold:\n",
    "                to_be_removed.append(dui)\n",
    "        \n",
    "        for dui in to_be_removed:\n",
    "            del dui_subset_mcclags_dict[dui]\n",
    "            del dui_subset_auc_dict[dui]\n",
    "\n",
    "        # print every child's auc ratio\n",
    "        top_5_pos_children_auc = sorted(dui_subset_auc_dict.items(), key=lambda x: x[1], reverse=True)[:5]\n",
    "        top_5_pos_children_auc_corresponding_mcclags = {each[0]: dui_subset_mcclags_dict[each[0]] for each in top_5_pos_children_auc}\n",
    "        top_5_pos_children2annual_count = {each[0]: return_annual_count_of_dui(name2dui[each[0]], dui2pubfreqchild) for each in top_5_pos_children_auc}\n",
    "        top_5_neg_children_auc = sorted(dui_subset_auc_dict.items(), key=lambda x: x[1], reverse=False)[:5]\n",
    "        top_5_neg_children_auc_corresponding_mcclags = {each[0]: dui_subset_mcclags_dict[each[0]] for each in top_5_neg_children_auc}\n",
    "        top_5_neg_children2annual_count = {each[0]: return_annual_count_of_dui(name2dui[each[0]], dui2pubfreqchild) for each in top_5_pos_children_auc}\n",
    "                \n",
    "        top_5_pos_children_auc = {each[0]: each[1] for each in top_5_pos_children_auc}\n",
    "        top_5_neg_children_auc = {each[0]: each[1] for each in top_5_neg_children_auc}\n",
    "        \n",
    "        print('top_5_pos_children auc:', top_5_pos_children_auc)\n",
    "        print('top_5_pos_children mcc:', top_5_pos_children_auc_corresponding_mcclags)\n",
    "        print('top_5_pos_children2annual_count:', top_5_pos_children2annual_count)\n",
    "        print('top_5_neg_children auc:', top_5_neg_children_auc)\n",
    "        print('top_5_neg_children mcc:', top_5_neg_children_auc_corresponding_mcclags)\n",
    "        print('top_5_neg_children2annual_count:', top_5_neg_children2annual_count)\n",
    "        print('=' * 100)\n",
    "\n",
    "\n",
    "        zero_level_info[dui2zero[zero_level_dui]] = {\n",
    "            'top_5_pos_children_auc': top_5_pos_children_auc,\n",
    "            'top_5_pos_children_auc_corresponding_mcclags': top_5_pos_children_auc_corresponding_mcclags,\n",
    "            'top_5_pos_children2annual_count': top_5_pos_children2annual_count,\n",
    "            'top_5_neg_children_auc': top_5_neg_children_auc,\n",
    "            'top_5_neg_children_auc_corresponding_mcclags': top_5_neg_children_auc_corresponding_mcclags,\n",
    "            'top_5_neg_children2annual_count': top_5_neg_children2annual_count\n",
    "        }\n",
    "\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "        print('Error:', zero_level_dui)\n",
    "        print('=' * 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "to_be_deleted = [\n",
    "    'Disciplines and Occupations [H]',\n",
    "    'Geographicals [Z] ',\n",
    "    'Technology, Industry, Agriculture [J]'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DUI: Information Sience [K]\n",
      "POSITIVE\n",
      "Amino Acid Sequence AUC: 5.37363861661788 MCC: 5\n",
      "Image Processing, Computer-Assisted AUC: 2.797133918962664 MCC: 2\n",
      "Information Services AUC: 2.5809706314448713 MCC: 8\n",
      "Computer Simulation AUC: 2.5784586981758104 MCC: 6\n",
      "Documentation AUC: 2.4749303554576074 MCC: 0\n",
      "NEGATIVE\n",
      "Communications Media AUC: 0.2919533886850007 MCC: -7\n",
      "Information Storage and Retrieval AUC: 0.4594991353406586 MCC: -5\n",
      "Artificial Intelligence AUC: 1.0454850411550334 MCC: 0\n",
      "Algorithms AUC: 1.1127001527093565 MCC: 0\n",
      "Tomography, X-Ray Computed AUC: 1.1238469457507387 MCC: 3\n",
      "====================================================================================================\n",
      "DUI: Phenomena and Processes [G]\n",
      "POSITIVE\n",
      "Protein Binding AUC: 5.627852504138951 MCC: 6\n",
      "Protein Structure, Tertiary AUC: 4.721192182812166 MCC: 4\n",
      "Membrane Potentials AUC: 4.338820588147993 MCC: 4\n",
      "Species Specificity AUC: 4.119508939099183 MCC: 3\n",
      "Binding Sites AUC: 3.940593751960506 MCC: 4\n",
      "NEGATIVE\n",
      "Life Cycle Stages AUC: 0.4470004351810487 MCC: -6\n",
      "Metabolic Networks and Pathways AUC: 0.7272039910437158 MCC: 0\n",
      "Immunity AUC: 0.866851850675549 MCC: -1\n",
      "Morphogenesis AUC: 0.9110396451883718 MCC: 0\n",
      "Diet AUC: 0.9186691578002761 MCC: 0\n",
      "====================================================================================================\n",
      "DUI: Organisms [B]\n",
      "POSITIVE\n",
      "Rats, Wistar AUC: 6.439234897612841 MCC: 9\n",
      "Influenza A virus AUC: 5.620963006439732 MCC: 5\n",
      "Influenzavirus A AUC: 5.616290753450169 MCC: 5\n",
      "Orthomyxoviridae AUC: 5.5656756445875555 MCC: 5\n",
      "Cricetinae AUC: 5.543244435643301 MCC: 6\n",
      "NEGATIVE\n",
      "Oryza AUC: 0.5219660163071614 MCC: -5\n",
      "RNA Viruses AUC: 0.562063959142577 MCC: 0\n",
      "Poaceae AUC: 0.6588165587058054 MCC: -1\n",
      "Mammals AUC: 0.7449217544279769 MCC: 0\n",
      "Vertebrates AUC: 0.7575273857017042 MCC: 0\n",
      "====================================================================================================\n",
      "DUI: Anthropology, Education, Sociology and Social Phenomena [I]\n",
      "POSITIVE\n",
      "Professional Competence AUC: 1.6366880820698888 MCC: 2\n",
      "Clinical Competence AUC: 1.5126802842090499 MCC: 2\n",
      "Education, Professional AUC: 0.9706767990408783 MCC: 1\n",
      "Leisure Activities AUC: 0.76859308589606 MCC: -2\n",
      "Curriculum AUC: 0.6444076898285516 MCC: 0\n",
      "NEGATIVE\n",
      "Recreation AUC: 0.5611383313978894 MCC: -5\n",
      "Sports AUC: 0.5653319366355388 MCC: -5\n",
      "Schools AUC: 0.615304526804076 MCC: -2\n",
      "Curriculum AUC: 0.6444076898285516 MCC: 0\n",
      "Leisure Activities AUC: 0.76859308589606 MCC: -2\n",
      "====================================================================================================\n",
      "DUI: Diseases [C]\n",
      "POSITIVE\n",
      "Coronary Disease AUC: 5.091259624713167 MCC: 4\n",
      "Hepatitis C AUC: 4.353829607864381 MCC: 4\n",
      "Myocardial Ischemia AUC: 4.177180104694716 MCC: 3\n",
      "Hepatitis, Viral, Human AUC: 4.087373170759892 MCC: 3\n",
      "Hepatitis AUC: 3.972153085117323 MCC: 3\n",
      "NEGATIVE\n",
      "Pneumonia AUC: 0.5632675873554902 MCC: 1\n",
      "Tuberculosis AUC: 0.6338856295322371 MCC: -5\n",
      "Seizures AUC: 0.6948574124316247 MCC: 0\n",
      "Lung Diseases AUC: 0.725861451354716 MCC: 1\n",
      "Pneumonia, Viral AUC: 0.8148251535797022 MCC: -4\n",
      "====================================================================================================\n",
      "DUI: Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]\n",
      "POSITIVE\n",
      "Drug Administration Schedule AUC: 7.637696396182935 MCC: 8\n",
      "Angiography AUC: 5.6039880654861305 MCC: 4\n",
      "Stents AUC: 5.385651769275222 MCC: 5\n",
      "Diagnostic Errors AUC: 5.3351621758328776 MCC: 4\n",
      "Microbiological Techniques AUC: 5.0979540834911985 MCC: 4\n",
      "NEGATIVE\n",
      "Muscle Strength AUC: 0.6324609686959353 MCC: -1\n",
      "Tomography, Optical AUC: 0.7084708872951111 MCC: -1\n",
      "Tomography, Optical Coherence AUC: 0.8401483217704151 MCC: -1\n",
      "Vision Tests AUC: 0.8770312710660239 MCC: -1\n",
      "Respiratory Therapy AUC: 0.8835768215425752 MCC: 0\n",
      "====================================================================================================\n",
      "DUI: Anatomy [A]\n",
      "POSITIVE\n",
      "HEK293 Cells AUC: 7.279978945834723 MCC: 2\n",
      "Cell Line, Tumor AUC: 4.8435122761731035 MCC: 2\n",
      "Peripheral Nervous System AUC: 4.150414115643387 MCC: 7\n",
      "Frontal Lobe AUC: 4.079829479903577 MCC: 3\n",
      "Chromosomes AUC: 3.9044938989102547 MCC: 5\n",
      "NEGATIVE\n",
      "Lung AUC: 0.7883056413658699 MCC: 0\n",
      "Skin AUC: 0.8923348714296769 MCC: -2\n",
      "Endothelial Cells AUC: 1.0225483471410979 MCC: 0\n",
      "Heart AUC: 1.0554305426921569 MCC: 0\n",
      "Plant Leaves AUC: 1.1684947319268504 MCC: -5\n",
      "====================================================================================================\n",
      "DUI: Psychiatry and Psychology [F]\n",
      "POSITIVE\n",
      "Depressive Disorder AUC: 4.74608413439148 MCC: 3\n",
      "Learning AUC: 3.1428783783499177 MCC: 4\n",
      "Substance-Related Disorders AUC: 3.0982327654002737 MCC: 3\n",
      "Mood Disorders AUC: 3.074916162134749 MCC: 4\n",
      "Memory AUC: 2.9174989782625396 MCC: 4\n",
      "NEGATIVE\n",
      "Cognition AUC: 0.34646529981405233 MCC: -6\n",
      "Decision Making AUC: 0.48898687058888646 MCC: -6\n",
      "Thinking AUC: 0.6900707809170087 MCC: -4\n",
      "Neurodevelopmental Disorders AUC: 0.9450904065085434 MCC: -1\n",
      "Mental Processes AUC: 1.0955529005613012 MCC: 0\n",
      "====================================================================================================\n",
      "DUI: Chemicals and Drugs [D]\n",
      "POSITIVE\n",
      "Superoxide Dismutase AUC: 7.985589885204766 MCC: 8\n",
      "Interleukin-1beta AUC: 7.577388139353719 MCC: 6\n",
      "Glycosyltransferases AUC: 7.103222370787395 MCC: 9\n",
      "Mitogen-Activated Protein Kinases AUC: 6.860028374071047 MCC: 8\n",
      "Interleukin-6 AUC: 6.849082646087343 MCC: 6\n",
      "NEGATIVE\n",
      "Particulate Matter AUC: 0.3273965087633984 MCC: -5\n",
      "Carbon AUC: 0.39474883929661797 MCC: -9\n",
      "Cellulose AUC: 0.4058135701624437 MCC: -5\n",
      "Plastics AUC: 0.43667713490055404 MCC: -3\n",
      "Viral Vaccines AUC: 0.4722994224688805 MCC: -5\n",
      "====================================================================================================\n"
     ]
    }
   ],
   "source": [
    "dui2linetopics = {}\n",
    "for dui in zero_level_info:\n",
    "    dui2linetopics[dui] = []\n",
    "    if dui in to_be_deleted:\n",
    "        continue\n",
    "    print('DUI:', dui)\n",
    "    print('POSITIVE')\n",
    "    top_5_pos = list(zero_level_info[dui]['top_5_pos_children_auc'].keys())\n",
    "    for topic in top_5_pos:\n",
    "        print(topic, 'AUC:', zero_level_info[dui]['top_5_pos_children_auc'][topic], 'MCC:', zero_level_info[dui]['top_5_pos_children_auc_corresponding_mcclags'][topic])\n",
    "    print('NEGATIVE')\n",
    "    top_5_neg = list(zero_level_info[dui]['top_5_neg_children_auc'].keys())\n",
    "    for topic in top_5_neg:\n",
    "        print(topic, 'AUC:', zero_level_info[dui]['top_5_neg_children_auc'][topic], 'MCC:', zero_level_info[dui]['top_5_neg_children_auc_corresponding_mcclags'][topic])\n",
    "\n",
    "    for topic in top_5_pos:\n",
    "        dui2linetopics[dui].append([topic, zero_level_info[dui]['top_5_pos_children_auc'][topic], zero_level_info[dui]['top_5_pos_children_auc_corresponding_mcclags'][topic]])\n",
    "    for topic in list(reversed(top_5_neg)):\n",
    "        dui2linetopics[dui].append([topic, zero_level_info[dui]['top_5_neg_children_auc'][topic], zero_level_info[dui]['top_5_neg_children_auc_corresponding_mcclags'][topic]])\n",
    "    print('=' * 100)      \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "depth: 1\n",
      "freq_percents_across_years: [87.93103448124258, 84.48275861923305, 68.96551724019025, 79.3103448262188, 81.03448275722354, 81.03448275722354, 99.99999999827587, 99.99999999827587, 99.99999999827587, 99.99999999827587, 99.99999999827587]\n",
      "imp_percents_across_years: [75.86206896420929, 72.41379310219976, 74.13793103320452, 70.68965517119501, 67.2413793091855, 58.620689654161716, 70.68965517119501, 84.48275861923305, 91.37931034325209, 87.93103448124258, 82.7586206882283]\n",
      "freq_percents_across_years std: 10.649083229573781\n",
      "imp_percents_across_years std: 9.283443821132007\n",
      "depth: 2\n",
      "freq_percents_across_years: [85.46307151220931, 89.91793669391569, 81.82883939029094, 88.15943728008422, 90.62133645944827, 92.26260257902432, 99.7655334113719, 99.99999999988277, 99.99999999988277, 99.99999999988277, 98.00703399754043]\n",
      "imp_percents_across_years: [74.20867526368792, 72.6846424383673, 71.16060961304672, 69.2848769049598, 66.5885111370849, 64.83001172325342, 67.29191090261747, 69.2848769049598, 72.33294255560102, 68.58147713942722, 57.913247362182986]\n",
      "freq_percents_across_years std: 6.308310527066437\n",
      "imp_percents_across_years std: 4.303601028851892\n",
      "depth: 3\n",
      "freq_percents_across_years: [85.08064516126174, 89.34811827953986, 82.66129032255287, 88.91129032255077, 90.79301075265766, 93.95161290319423, 99.39516129028918, 99.96639784942877, 99.96639784942877, 99.96639784942877, 97.58064516125754]\n",
      "imp_percents_across_years: [75.13440860212529, 73.31989247309365, 71.6733870967501, 69.11962365589075, 65.82661290320368, 63.743279569871056, 65.05376344083835, 66.06182795696705, 67.13709677417098, 61.22311827954932, 50.235215053746565]\n",
      "freq_percents_across_years std: 6.112331324775595\n",
      "imp_percents_across_years std: 6.44570755005404\n",
      "depth: 4\n",
      "freq_percents_across_years: [84.68070051298696, 89.9522377498514, 83.63700689897688, 89.3330974703539, 91.06669025294691, 93.98549442772085, 99.36316999821344, 99.94693083316824, 99.94693083316824, 99.94693083316824, 97.2757827701933]\n",
      "imp_percents_across_years: [74.61524854058472, 72.82858659117763, 70.91809658587106, 68.12312046699661, 64.56748629045381, 62.674686007418586, 63.27613656464474, 64.56748629045381, 64.51441712363975, 58.53529099592101, 47.28462763133782]\n",
      "freq_percents_across_years std: 5.911856092156844\n",
      "imp_percents_across_years std: 7.149458985625086\n",
      "depth: 5\n",
      "freq_percents_across_years: [85.0253807106491, 90.50761421318649, 84.60659898476082, 90.26649746191747, 91.80203045684114, 94.53045685277988, 99.45431472079956, 99.96192893399746, 99.9492385786675, 99.9492385786675, 97.20812182739883]\n",
      "imp_percents_across_years: [74.99999999999048, 73.08375634516838, 70.97715736039709, 68.29949238577812, 64.12436548222537, 62.246192893393115, 62.89340101522044, 63.807106598976674, 63.15989847714935, 56.649746192886205, 45.06345177664402]\n",
      "freq_percents_across_years std: 5.611283342128092\n",
      "imp_percents_across_years std: 7.909742016142292\n",
      "depth: 6\n",
      "freq_percents_across_years: [85.04793708929385, 90.81116018527514, 85.17720564471773, 90.83270494451246, 92.15770763760722, 94.84003016265271, 99.51524291714968, 99.9569104815146, 99.94613810189594, 99.94613810189594, 97.12377464180791]\n",
      "imp_percents_across_years: [75.11580308089248, 73.21986426800892, 71.0653883442776, 68.24302488418957, 63.9663901755829, 61.89809328880082, 62.21049229774187, 63.018420769141116, 62.318216093928434, 55.660885489598655, 43.92976408488162]\n",
      "freq_percents_across_years std: 5.464664610113694\n",
      "imp_percents_across_years std: 8.307915538074992\n",
      "depth: 7\n",
      "freq_percents_across_years: [85.17816149315448, 90.9571813554156, 85.45763050203757, 90.88731410319484, 92.24473500348415, 94.91965265993663, 99.50094819841307, 99.96007585586386, 99.95009481983233, 99.95009481983233, 97.185347839096]\n",
      "imp_percents_across_years: [75.25701167780464, 73.29074757959144, 71.14482483281054, 68.11058987922266, 63.8786306018501, 61.64287853078534, 61.92234753966843, 62.66094420600232, 61.67282163887996, 54.98552749774878, 43.34763948497421]\n",
      "freq_percents_across_years std: 5.393357172849661\n",
      "imp_percents_across_years std: 8.541308426939544\n",
      "depth: 8\n",
      "freq_percents_across_years: [85.20636736249307, 90.92555523781422, 85.45419883709032, 90.89695929843762, 92.2505004289303, 94.97664664950004, 99.50433705079597, 99.95234010102946, 99.94280812123725, 99.94280812123725, 97.14040606232989]\n",
      "imp_percents_across_years: [75.36936421694067, 73.35811648078607, 71.17529310837182, 68.03927175673738, 63.816604708791935, 61.462205700118055, 61.64331331616989, 62.443999618714855, 61.262034124481815, 54.71356400723909, 43.09408064054494]\n",
      "freq_percents_across_years std: 5.387201522269725\n",
      "imp_percents_across_years std: 8.658137150049289\n",
      "depth: 9\n",
      "freq_percents_across_years: [85.17827142056326, 90.937091655769, 85.51428038080216, 90.92775807354013, 92.26246033226691, 95.01586708978019, 99.50532014186115, 99.94399850661752, 99.93466492438866, 99.93466492438866, 97.09725592681565]\n",
      "imp_percents_across_years: [75.4153444091772, 73.38995706551489, 71.21523240619085, 68.02314728392122, 63.80436811647715, 61.32163524360077, 61.442971812575934, 62.1709912264269, 60.96695911890414, 54.46145230538973, 42.90647750606282]\n",
      "freq_percents_across_years std: 5.375987882221493\n",
      "imp_percents_across_years std: 8.747837268639595\n",
      "depth: 10\n",
      "freq_percents_across_years: [85.10441692847117, 90.94437257437711, 85.56643873590043, 90.98133431897143, 92.29347625207056, 95.02864535205184, 99.51025688411573, 99.94455738309924, 99.93531694695066, 99.93531694695066, 97.08002217703779]\n",
      "imp_percents_across_years: [75.39271853630794, 73.40602476436209, 71.23452226944454, 68.05581223433117, 63.842173350576246, 61.3472555904582, 61.411938643498296, 62.12345222693937, 60.95915727221761, 54.47237109591069, 42.91258547403041]\n",
      "freq_percents_across_years std: 5.375263471235788\n",
      "imp_percents_across_years std: 8.748666727626025\n",
      "depth: 11\n",
      "freq_percents_across_years: [85.11010780428589, 90.96102460148428, 85.59845204090246, 90.99788077028555, 92.3062747627299, 95.03363125402238, 99.51165576337422, 99.9447157467889, 99.93550170458859, 99.93550170458859, 97.06993458029143]\n",
      "imp_percents_across_years: [75.41693540955723, 73.43591633649005, 71.25218833501602, 68.08255781810854, 63.871740532565745, 61.374735096281086, 61.39316318068171, 62.075002303504824, 60.91403298626547, 54.46420344604677, 42.90058048465467]\n",
      "freq_percents_across_years std: 5.367228457421957\n",
      "imp_percents_across_years std: 8.762647456696943\n",
      "depth: 12\n",
      "freq_percents_across_years: [85.11597938143545, 90.97017673047763, 85.60382916052231, 91.00699558172947, 92.3140648011697, 95.03865979380568, 99.51215022090393, 99.94477172311304, 99.93556701030008, 99.93556701030008, 97.0729013254697]\n",
      "imp_percents_across_years: [75.43262150220218, 73.44440353460296, 71.26288659793158, 68.09646539027355, 63.880706921938156, 61.38622974962615, 61.40463917525207, 62.076583210598116, 60.92599410897819, 54.482695139906625, 42.89396170839075]\n",
      "freq_percents_across_years std: 5.364558535713369\n",
      "imp_percents_across_years std: 8.766184322193771\n",
      "depth: 13\n",
      "freq_percents_across_years: [85.11910236364525, 90.96845396853756, 85.60654833071962, 91.00524234341111, 92.31122965142166, 95.04276648578175, 99.51255403291643, 99.94481743768048, 99.9356203439621, 99.9356203439621, 97.07532419754465]\n",
      "imp_percents_across_years: [75.44375977190514, 73.45718752873415, 71.26827922375874, 68.0952818909162, 63.88301296789627, 61.399797663932546, 61.4273889450877, 62.08038259909298, 60.93074588429496, 54.50197737514444, 42.90444219626203]\n",
      "freq_percents_across_years std: 5.364186792688526\n",
      "imp_percents_across_years std: 8.764571296829462\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(13, 13, 13, 13)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "SFS = ['SF10', 'SF11', 'SF12', 'SF13', 'SF14', 'SF15', 'SF16', 'SF17', 'SF18', 'SF19', 'SF20']\n",
    "max_window_freq_percents, max_window_imp_percents = [], []\n",
    "freq_std, imp_std = [], []\n",
    "\n",
    "for depth in range(1, 14):\n",
    "    freq_percents_across_years, imp_percents_across_years = [], []\n",
    "    for sf in SFS:\n",
    "        freq_address = LAG_DATA_ADDRESS + sf + '/results/DEPTH_' + str(depth) + '_FREQ.txt'\n",
    "        imp_address = LAG_DATA_ADDRESS + sf + '/results/DEPTH_' + str(depth) + '_IMP.txt'\n",
    "        with open(freq_address, 'r') as f:\n",
    "            freq = float(f.read())\n",
    "        with open(imp_address, 'r') as f:\n",
    "            imp = float(f.read())\n",
    "        freq_percents_across_years.append(freq)\n",
    "        imp_percents_across_years.append(imp)\n",
    "        if sf == 'SF10':\n",
    "            max_window_freq_percents.append(freq)\n",
    "            max_window_imp_percents.append(imp)\n",
    "    \n",
    "    freq_std.append(np.std(freq_percents_across_years))\n",
    "    imp_std.append(np.std(imp_percents_across_years))\n",
    "    print('depth:', depth)\n",
    "    print('freq_percents_across_years:', freq_percents_across_years)\n",
    "    print('imp_percents_across_years:', imp_percents_across_years)\n",
    "    print('freq_percents_across_years std:', np.std(freq_percents_across_years))\n",
    "    print('imp_percents_across_years std:', np.std(imp_percents_across_years))\n",
    "\n",
    "len(freq_std), len(imp_std), len(max_window_freq_percents), len(max_window_imp_percents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "freq_std = np.array(freq_std)\n",
    "max_window_freq_percents = np.array(max_window_freq_percents)\n",
    "imp_std = np.array(imp_std)\n",
    "max_window_imp_percents = np.array(max_window_imp_percents)\n",
    "\n",
    "freq_error_max = np.minimum(max_window_freq_percents + freq_std, 99.9) - max_window_freq_percents\n",
    "imp_error_max = np.minimum(max_window_imp_percents + imp_std, 99.9) - max_window_imp_percents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = ['Depth ' + str(each + 1) + '\\n' + str(len(multi_level_duis_mcclags[each])) + ' terms' for each in range(len(greater_one_percentages))]\n",
    "\n",
    "fig = plt.figure(figsize=(20, 4))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.axhline(y=50, color='salmon', linestyle='--')\n",
    "line2, = ax.plot(x, max_window_freq_percents, marker='o', color='teal', linewidth=2.5, markersize=8, label='Frequency Analysis')\n",
    "ax.errorbar(x, max_window_freq_percents, yerr=[freq_std, freq_error_max], fmt='o', ecolor='teal', elinewidth=2, capsize=10, color='teal')\n",
    "line1, = ax.plot(x, max_window_imp_percents, marker='o', color='navy', linewidth=2.5, markersize=8, label='Impact Analysis')\n",
    "ax.errorbar(x, max_window_imp_percents, yerr=[imp_std, imp_error_max], fmt='o', ecolor='navy', elinewidth=2, capsize=10, color='navy')\n",
    "\n",
    "ax.grid(True)  # Add gridlines\n",
    "ax.set_ylabel('Percentage of terms with \\n CCAUC Ratio > 1', fontsize=15, weight='bold')\n",
    "ax.set_xticks(range(len(x)))\n",
    "ax.set_xticklabels(x, rotation=20, fontsize=13, weight='bold')\n",
    "ax.set_yticks(range(50, 101, 5))  # Set y-axis ticks from 50 to 100 in steps of 10\n",
    "\n",
    "plt.legend(loc='upper center', fontsize='large', bbox_to_anchor=(0.5, 1.15), ncol=4)  # Add legend\n",
    "plt.savefig('impact_vs_freq_CCAUC.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "plotting together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hhx6aMkh59tlnu8ydO7fz1KlT+91yyy19IQj0Zs+enV9VVfVVYpCaymWXXVb82Wef5b322msfDxo0qPo///lP/ujRo/dwTz3G+k9+8pMVd999d8/i4uLq7373uysLCgocoEePHrHbbrttPjC/vLw877DDDhu63377rTv66KO3CuL32muvjY8//viXNTU13HXXXT3Gjh2701FHHfVO165dY5E+uAaIcjn4ggue6nfzzeV9N21Kcc52yo5NmFCy+Prrm/ecjWLBggWb+ySuXr06a82aNTmDBg3a9NRTTxXeeOONfZ966qlPR40atSE7O5uuXbuOiNdjcXFx1axZs/L22WefegdM06ZN6xWLxTj22GN3ia/buHGj3X333b0SA8XanH322Tvstdde6x966KEvevToEbvsssu2e/TRR1P2hRwyZEjViBEjKv72t791nzFjRq/x48dvbnWs7dxJzuPYY49dc+yxx66pqKiwCy64oP/48eN3iF+eF2lquplFpAEml5YuGdS168ZO2dlb/fHvlJ0dG9S168bJpaVLatu3OfzP//zPsunTp2/3wgsvdInFYqxZsyZrxowZ3VauXJl1yCGHrMvOzvbLL798u6qqKqZPn979vffe29yfraSkZP1nn32W/5///Cd//fr1NnHixO3j27Kzs/nJT36y/Nxzzx24YMGCHIAvv/wy98EHH0zbly2+73HHHbf8wgsvHDhnzpzc6upqnnvuuS4bNmwwgEMPPXRdVlYWl1xyyYDjjjtuRW353HHHHb0PPPDANe+///4Hb7311odvvfXWh2+//faHlZWVWX//+9+71VWOtWvXZufl5cV69+5ds2TJkuxJkyZtny79+PHjVzz99NM9HnzwwZ5jx47dXK777ruv2wcffNA5FovRvXv3muzsbM/O3rZr2M0339xz4cKFOdnZ2fTo0aMagkuKdZWzuU2eXLpk0KCuGzt1SjpnO2XHBg3qunHy5JY9Z2tTVlbW7emnny6srKy0Cy+8sP83vvGNdTvvvHPV6tWrs3Nycrxv375VVVVVdtFFF/Vbt27d5go45ZRTll122WXbv//++51jsRivv/56/uLFi7MBevXqVf3pp5/WOjzO/fff3+uCCy5YFD+/3nrrrQ+nT5/+eVlZWbd4HulUVFRkd+3ataZbt26xt99+Oy+xZT+Vk046acWf/vSnvp9++mn+ySefvCq+Psq589VXX+Xcc8893dasWZOVn5/vhYWFsVTnoUhTUaAo0gDd8vJi5Wed9cmEkpLFPfLyqg3okZdXPaGkZHH5WWd90i0vr9laj1I56KCD1t90001zzjvvvEHdunUbsdNOOw2bPn16L4C8vDy///77P7/33nt7d+/efeQDDzzQ8/DDD18V3/cb3/jGxgsuuGDhUUcdteuOO+641ze/+c2t+t79+c9/nr/jjjtu3G+//XYvLCwcecghh+z68ccf50Up1y233PLV7rvvvmHffffdvUePHiMmTpw4IH6nMMDxxx+/Yvbs2fnjxo1LGSiuX7/ennjiiR7nnnvu0kGDBlXHH7vtttumH/7whyvuuuuuXqn2SzRx4sQllZWVWb179x6x33777X7YYYelvQy80047Ve25557rzYzDDz9882fx6aefdj788MN37dKly8jRo0fvPnbs2GWpxk58+umnuw0bNmzPgoKCkRdddNGgadOmfRFvlWxN3brlxcrLz/pkwoSSxT165FWbQY8eedUTJpQsLi8/65Nu3Vr2nK3ND37wgxVTpkzp17NnzxHvvvtuwX333fcFwLHHHru6tLR09R577LHXwIED98rLy4v17dt382XqSZMmLTnmmGNWHnHEEbsWFRWNPOOMMwavW7cuC+CXv/zlwrPPPntwUVHRiGnTpm3V0vf88893WbhwYeeLLrpoq3PspJNOWj1o0KCNt99+e513FP/xj3/86sEHH+xZWFg4cvz48Tscc8wxX6dLf/LJJ69auHBh58MOO2xlYktzlHMnFovZDTfc0Ld///7f6N69+4iZM2cW3XLLLXOjfboi9We1XX4R6SjefffdOcOHD1/e2uVoSccee+zg/v37b5o6derC1izHTTfd1OuOO+7onWmXzY477rjB/fr1a/XPp6PJlPOyJQwcOHDYjTfeODdV/+Om9O677/YePnz44OY8hrRv6qMoIq1i7dq1WbfddlufM888c1lrlyXRrFmzOj311FPd//vf/37U2mWR9unOO+/sbmZ8//vfz/jZfER06VlEWtyDDz7Ydbvtthveu3fvqrPPPrvW/okt7fzzz99+5MiRe06YMGHxbrvttqnuPUTqZ9999x164YUX7nD99dfPU99CaQt06Vk6vI546VlEOgZdepbGUouiiIiIiKSkQFEEYrFYrNaBiEVE2qLwd62mzoQiaShQFIEPli1b1k3Booi0B+7Oxo0bc+fOndsd+Hdrl0faNt31LB1edXX1+MWLF09bvHjxMPTPk4i0fTEzW11TUzM1Fovd0tqFkbZNN7OIiIiISEpqPRERERGRlBQoioiIiEhK6qNYi969e/vgwYOb9Rjr1q2jS5cuzXoMqT/VS+ZRnWQe1UlmUr1knpaqkzfffHO5u/dp6nzbZKBoZrcD3wOWuvuwcF1P4H5gMDAHON7dV4bb/g84g2CYgPPc/em6jjF48GDKy8ubpfxxZWVllJaWNusxpP5UL5lHdZJ5VCeZSfWSeVqqTsxsbnPk21YvPd8JHJG0biLwvLvvAjwfvsbM9gB+AuwZ7nOzmWneJBEREZE6tMlA0d1fBr5OWn00MD18Ph04JmH9DHff6O5fAp8B+7ZEOUVERETasjZ56bkWxe6+CMDdF5nZduH6/sBrCenmh+u2YWZnAWcBFBcXU1ZW1nylBSoqKpr9GFJ/qpfMozrJPKqTzKR6yTxtvU7aU6BYm1SzbaQcPNLdbwVuBSgpKfHm7lOgviSZSfWSeVQnmUd1kplUL5mnrddJvQJFM9seGAh0Tt4WXg5uTUvMrF/YmtgPWBqun09Q5rgBwMIWL52IiIhIGxMpUDSzIcA9wH61JPGoeTWjx4DTgKvC5aMJ6+81s+uA7YFdgDdapYQiIiIibUjU4O42YP/mLEh9mNl9QCnQ28zmA5MIAsQHzOwMYB5wHIC7f2hmDwAfAdXAue5e0yoFFxEREWlDogaK+xG0Gj4HPAxUUks/v5bg7j+tZdMhtaS/HLi8+UokIiIi0v5EDRQXATsRDGK9uhnL0y5MLitjyksvRUscId2kgw9mchvuCCsiIiJtU9RA8fcEg1x/j6CvoqQxubS0zsDOpkwBwCdNaoESiYiIiNRfrYFiOE1eoqXAXWb2M2A2QX+/OHf3M5qhfCIiIiLSStK1KI4ldT/EfUk9s4kCRREREZF2pK5Lz6kGqxYRERGRDqDWQNHd2+Q80CIiIiLSNCIFg2Z2qpmdUsu2Hc1sx6YtloiIiIi0tqh3Pd8JxIC7U2z7LNzW2jOziIiIiEgTqs/l5W36K5pZXm3bRERERKRtSzc8ztHA0UnrkofM2Tlcrm3icomIiIhIK0t3uXgEcFrCa0t6nejNpiqQiIiIiGSGui49W/jw8GFJj1XAM8A5zVfE+jGz883sAzP70Mz+N1w32cwWmNk74eO7rVxMERERkYyXbnicKcAUADOLBasye8gcMxsGnEkwIPgm4CkzezLcfL27X9NqhRMRERFpY6LeqTymWUvRdHYHXnP39QBm9hLww9YtkoiIiEjblO5mloMA3P1lwqn84utSCdO1tg+Ay82sF7AB+C5QDqwAfmZmp4avf+HuK1uvmCIiIiKZz9xTTee8+XJzzN1z4pee0+Tj7p4R4yia2RnAuUAF8BFBwHgVsJzgPfwO6Ofu41LsexZwFkBxcfGoGTNmNFs5x7z0EgAvHnxwsx1DGqaiooLCwsLWLoYkUJ1kHtVJZlK9ZJ6WqpMxY8a86e4lTZ1vXYGiu3t2+Dwdd/fspi5cY5nZFcB8d785Yd1g4Al3H5Zu35KSEi8vL2++sk2ZAoBPmtRsx5CGKSsro7S0tLWLIQlUJ5lHdZKZVC+Zp6XqxMyaJVBM1wp4ei3PM5qZbefuS81sEPAj4AAz6+fui8IkPyS4RC0iIiIiaaS763l6qudtwINhH8Uq4Fx3X2lmd5vZCIJLz3OAs1uxfCIiIiJtQqR+hWb2T+Bl4BXgDXevatZSNYK7fyvFulNaoywiIiIibVnUG1COAA4Pn280s9cJgsaXgf/Eh6MRERERkfYj6gDa77NlZpY84GDgV8DTwEoze7V5iiciIiIirSVSi6K7DzezQmB/4MDwsR/QDcglmAlFRERERNqRyGMfunuFmb0LFAD5QBeCgNGaqWwiIiIi0oqi3sxyF3AAsGN8FcGA1mXAq+FDRERERNqRqC2KJxP0UXTgceB64N/uXtdA3CIiIiLSRkW9meVVYGOY/mjgBeBdM/uLmY01s12bq4AiIiIi0jqi3swy2sxygb0JLkHHH+PDh0fNS0RERETahvrczFJlZouBxcCicLk90VslRVrV5LIyprz0UrTEEdJNOvhgJmtOVRERacei3szyIEELYnHypnD5dWMKYWZdgBsBd/czGpOXSG0ml5bWGdjZlCkA+KRJLVAiERGRzBa1RfGHSa8XEMzM8grwsrt/2Mhy5AFjCS5hK1AU6SDUyisiktmiBoqfAS8RBofu/mXUA5jZgRGSdYuan4i0H2rlFRHJbFFvZmnMXc3/JmgpbBFmdj5wJsFl8dvc/QYz6wncDwwG5gDHu/vKliqTiIiISFvUkncqN/sMLmY2jCBI3BfYBDxlZk+G655396vMbCIwEbikucsjItLWqDtAZlK9ZJ6OUictEShuIpgP+v8BS2pJUwBc3ATH2h14zd3XA5jZSwT9K48GSsM00wlmlFGgKCKSRN0BMpPqJfN0lDppiUDxTWB/gpteZqRKYGa9aJpA8QPg8jC/DcB3gXKg2N0XAbj7IjPbrpZynAWcBVBcXExZWVkTFCm9ljiG1J/qJfOoTjKP6iQzqV4yT1uuk5YIFF8lGFrnQCBloNhU3P1jM/sD8CzBXNTvAtX12P9W4FaAkpISL23OJuCwGbpZjyH1p3rJPKqTzKM6yUyql8zTDuqkJQbL/j+gB0G/wJTcfYW7Z7l7dmMP5u5/dfe93f0ggvEdZwNLzKwfQLhc2tjjiIiIiLR3DQoUzSzbzH5qZueFN5DUyt2r3H11vN9gc4tfVjazQcCPgPuAx4DTwiSnAY+2RFlERERE2rJIgaKZXWdma8xsSrjqEeBvwPVAuZl9u5nK1xAPmtlHwOPAueEwOFcB3zGz2cB3wtciIiIikkbUPooHAV2AZ8xsCHBUwrZOBJeVX2jisjWIu38rxboVwCGtUJxtVGzaxNUzZ25+3efqq5lQUsLFo0dT2KlTK5ZMREREZGtRLz0PDpcfAyXh8xuAg8Pn32i6IrVfFZs2sf+0aVzxyiub1y1fv54rXnmF/adNo2LTplYsnYiIiMjWogaKXcJlBbAnwUwrLxHc0QzQvWmL1T5dPXMms5Yvp9q3nqim2p2Ply3j3Cef5NMVK1i7cWMrlVBERERki6iXnpcAA4Er2HLZ+ROgT/j86yYuV7t0c3n5NkFiXAy46733uOu99wDokpvL9kVF9Csqol9hYfC8sJB+RUVbPe/WuTNmzT7pjYiIiHRAUQPFZ4EzgAsIpuL7wt1nmdlh4fZPmqNw7c2K9dFv/F5XVcXsr79m9tfpY/D8nJy0wWQ82OyRl6eAUkREROolaqB4KTAAGA3MJZy9hOAml7kEdxhHZmZZwElAjbvfW59927JeBQUsTxMsduvcmalHHsmitWtZVFHBwnC5aO1aFq5dy4bqbccO31BdzRcrV/LFypVpj905O3tzQNmvqIjtw2ViMNmvsJBeBQVkKaAUERERIgaK7r4MODLF+l8Dv27AcQ8nmHPZzexLd3+1rh3agwklJVzxyispLz/nmHH+fvtx6vDhKfd1d9Zs3LglgKwlmFxUUZHyppiNNTXMWbWKOatWpS1jblYWfZMvcScFk9sXFdGnSxcFlCIiIu1cS0zhl8r4hOfj2HJTTLt28ejRPPjxx9vc0JJjxtDevbl49Oha9zUzuuXl0S0vj9169057nLVhQJkYPC5au5aF4TIeYK5JcdNMVSzGV2vW8NWaNWmPkW1GceLl7hTBZL+iIrbr0oWcrJaYAEhERESaWqRA0czygd8APya4qSV5wD9396h59QG+B8wEugEnmNn5LTVzS2sq7NSJ18aP5+qZM7ns5ZcB6FNQwDlNPI5iUefOFHXuzK69eqVNt76qattgMv48oeVyZWXlNvvWuLMwTJ9OlhnbdelS5yXvvoWF5GY3egZHERERaUJRWxRvAsaGzxt7vfHU8LjTCYbV+QNwAnBHI/NtEwo7dWLKmDGbA8WlF1/camUpyM1lp5492alnz7TpKqurN7dE1hZMLqqoSNn/MubO4ooKFldU8PbixbUew4DeBQXb3oiTdBm8b2EhnXNaqyFcRESkY4n6F/cH4XIe8B+gMSNDnwFUAvcDhcCV4boOESi2RXk5OQzp0YMhPXqkTbeppobFqS55J/WnXLZuHcm9NB1Ytn49y9av570lS9Iep1d+fp3DBvUrLCQ/Nzfye9SMOSIiItuKGijGO7Pt4+7LG3owMzsQ2A14wN3XAmvN7AXgUDPbzd01zE4b1ik7m0HdujGoW7e06apqaliybt3WN+SkuDlnybp1xFLc+LNiwwZWbNjAB0uXpj1O97y81H0nkwJLB/afNo1Zy7ec2vEZcx78+GNeGz9ewWIrUPAuEo2+K5mnPdVJ1EDxjwRT9h1FcMm4ocYTNB7dlbDuLuA7BDe1/LIReQNgZhckHOd94HSCuajPBJaFyS5193829ljSMLnZ2Qzo2pUBXbumTVcTi7F03bo67/ReXFFBTYqAclVlJasqK/l4efr/bTplZbEpFttmfbU7Hy1bxqF33cW3Bg0iOyuLnAY8ss3qv08d29v7Hefx6S4VvIukp+9K5mlvdRJ1eJypZvZt4HYzm0JwCbp66yR+SLo8zKwQOA5YCjyVsOkh4GbgFDP7P3evqc8bSDpGf+A8YA9332BmDwA/CTdf7+7XNDRvaXnZWVlBS2BREXv361drupg7y9ev3zaYTBFYVqUICFMFiXEOvL5gAa8vWNAUb6nJGNQ7uGzSQLYZgt/Ex01vvMEny5dv8w9AtTuzli/njzNnctmYMa3z4Xdg7amVpL1INzXsrOXLuXrmTKbou9Ki2ludmNcypdxWicx+CVxF8HfTwuXmzQSBYtpbVs3sTOAvBAHbL5K23QGcBhzr7g/X6x1snU9/4DVgOLAGeASYChwIVNQnUCwpKfHy8vKGFqVONmUKAD5pUrMdQ7YWc+frDRu2CSYvfeGFOvctyM2lOhajOhZLeTlcWl6qYDk3O7vOIDQ3QqCam51NTh3BcJMeqx75ZJm1yixLia0kqYb3yrRWkpg7NeF3tsY9WEZ83Wr7RChz8rq3Fy1KeUUlLsuMId27b369Tf/wFPvWlSZT82jIcZoij+Q0azduTJlvXJ+Cgma5kdXM3nT3kibPN2KguIRgXmcnaBHcZrwUdx/S1IVrCDM7H7gc2AA84+4nmdlkgru21wDlwC/cPe1UJo0JFCdPLmPKlJcatG8qkyYdzOTJpU2Wn2ytz9VXp50xJ/lLnfgHqDrFD359HqnyqXOfeh6nOcqV7g+TNL+WCkoTHzO/+oqZ8+al/ANowDcHDeKbgwbVHSTVEvBEeV2ffXSGSqbKMqPmt79t8nxbO1D8mmDMw+Hu/kFTF6KpmFkP4EGC4XZWAX8H/kEwV/VygkD3d0A/dx+XYv+zCKcnLC4uHjVjxoxmK+uYMUEg+eKLBzfbMSSaO+bM4Z65c0nV5yEbOGmHHTh98OAWLlVmc3diBONpNvQRS7Ptutmz2VBTey+UzllZHD9gQL2OV92IsibnoyBEGiKLYLKC+CMreZmwPSs5HWy7zow3V65MOdtXXK4ZB/fps9W6bdqjU7RQJ6+p63XG5JEin5bII3HdY4sWpe3S1D03l4cPPLDW7Q01ZsyYZgkUo97MchtwEdsOtJ1pDgW+DKccxMweAg5097/FE5jZbcATqXZ291uBWyFoUSwtLW3GogaBYvMeQ6Io2bSJN9NcUvvziSdm1CW1jiD7xRfTTnd5yTe/2ap9fGJ1tNJW1dTU2WpbFaFlN0o+kfNq5PE2pgnc45L7sGbX8jpKmjr3Matz3/rk39z7NFeXgUl1fFf+71vfalP94dqDuurkvAMOaFN/++szPM5K4AUze4Rtb2bB3S9r2qI1yDxgfzMrILj0fAhQbmb93H1RmOaHQMa2ikrLa6kZcyS6xkx32RKyzOiUnU2nDjSbUH27aEjLyPTvSkfU3uok6qXnGKn7fG5W180sLSW8K/sEgkD2bYKhcqYBIwjewxzg7ITAMaVmv5nFwptZXDezZBLdZJQ54nfYKnjPDHW1klyqlqtWo+9K5mmNOmntPoq1X2wP1HnXc1ujQLFjUqCYeVQnmaGt3fXcEem7knlask6aK1CMeuk5I+5oFhGR1qEuGiIdU52BopnlAecTXLa90d3nNPagZjaEoP9gH4K7kZ9z9y8bm6+IiDSfwk6dmDJmzOZAUX0SpSOrz1B4NnlKnWkydSi8OgNFd680s7OBPOA3jT2gmV1JcAd1VsLqmJld5+6XNDZ/ERERkeY2eXJpnYFde+hmFvXS80yCFsDBwEcNPZiZjQVSBYPZwEVm9om739HQ/EVERNqjjtJ6JZknaqB4FTAK+LuZ/YZgeJmtZmdx93kR8jk3XL4PXAvMBwYAFwLfACYAChRFREQSdJTWK8k8UQPF5wj6KHYnmO0kmUfMa48w7fcTA0szewn4MtwuIiIiIhkgaqAItcxyU091jcWjmbFEREREMkTUQLHuDg/RfAiUAI+Z2bXAVwSXnn8Rbm9w/0cRERERaVqRAkV3b6pA8RbgdmAv4M7kw4TbRaSDUAf9zKM6EZFE9bn0jJkNBUqBnu5+ZX0P5u53mtnuBC2IWw2PA1yvO55FOhZ10M88qhMRSRQ5UDSzG4FzCPoqOnClmX0EDAVOdPf7o+Tj7peY2V+AQ4HebBlw+4v6Fl5EREREmk9W3UnAzCYQDG2TRRAoxm9suS58/uP6HNTdv3D3W939inDZZEGimV1gZh+a2Qdmdp+Z5ZlZTzN71sxmh8seTXU8ERERkfYqaovi/xC0Il7HlhtPAJ4MlyNr29HMbgfc3c8In6fj7n5GxDKlOlZ/4DxgD3ffYGYPAD8hGHbneXe/yswmAhNJPfC3iIiIiISiBoq7hMtJbB0orgiX26fZdyxBH8Qzwud1DYHT4EAxlAPkm1kVUAAsBP6PoG8lwHSgDAWKIiIiImlFuvTMlllYCpPWlyRtr40lPU/3aDB3XwBcA8wDFgGr3f0ZoNjdF4VpFgHbNeY4IiIiIh1B1BbFtwha5P4cX2FmPwcuJmghLK9tR3fPSvW8OYR9D48GhgCrCKYcPLke+58FnAVQXFxMWVlZM5Ryay1xDKk/1UvmUZ1kHtVJZlK9ZJ62XCdRA8U/EgSKP2LLpeMb2HIH9DVRMjGzUwn6Id6dYtuOBBsbc2PLocCX7r4szPMh4EBgiZn1c/dFZtYPWJpqZ3e/FbgVoKSkxEtLSxtRlLoE45Q17zGk3l5SvWQe1UnmUZ1kJtVL5mn7dRJ1wO2nw9a2a4GuCZvWAheHl3ejuJOgv+I2gSLwWbitXmM7JpkH7G9mBcAG4BCC1s51wGnAVeHy0UYcQ0REpEVNLitjyksRB0KfEmEg9IMPZnIbDl4yQUepE3OPPr2ymXUhaKHrQzD+4X/cvaIe+8cIWhSzk9bnAetTbasvC0aCPQGoBt4GxhP0rXwAGEQQTB7n7l+ny6ekpMTLy2u9ot5oGrC25dXnSx1Fpn6p2xt9VzKP6iQzqV4yT0vWiZm96e4ldaesn0itd4lD3ADPJm0bR7Ax5dA3ZnY0Qb/B5PwS7Rwu10YpTzoe1EZyjWwkaF2UDmxyaWmkwK6srKxNXyZoSzrKf+QiIm1V1Mu8Ywn6IqYaumYawSXj2sZIHEFwuTfOkl4nejNieUSkHYgSvMfnE/ZJaiVpCQreRSRRY/oDYmbF8ad1JQ2XnvQ6biXwX4LBskWaxeTJZUyZEvXSc93pJk06uM45cUXaGgXvIpKo1kDRzM4Hzk9al3xHcu9wuby2fNx9CjAl3D/eR7FZh8kRSWXy5NI6Azv18REREdkiXYtid2BwwmtLep3oXxGPNyZiOhERERFpZekCxTlsuf52MMFl45cTtjtbLhnfGOVg7v4SgJmNAHYF8lKkuStKXiIiIiLSvGoNFN19OsG8yPFLxrh7o1oEzawX8ASwb22HBRQoioiIiGSAqANuN1WfwsuB/Zoor4yluwZFRESkPWjUXc8NcCRBq+EUYHL4/AfARKCYpJtn2irdNSgiIiLtQUvffdw3XF4fX+HuTwI/JRh0+5gWLk+Lq6jYxKRJL25+3afP1Uya9CIVFZtasVQiIiIi22rpQLEyXG4IH5jZLgQDdgMc18LlaVEVFZvYf/9pXHHFK5vXLV++niuueIX995+mYFFEREQySksHiovDZW9gdvi8DHgtfF7VwuVpUVdfPZNZs5ZTXb31/NrV1c7HHy/j7LMf5/XX5/PppytYtmwdVVU1rVRSERERkfQDbm+e39nMToUmGbrmLWAXYB/gHuAPQL+E7TMamX9Gu/nm8m2CxLhYDO699wPuvfeDrdYXFnaiR488evTIT1rm0b17qvVblp06ZbfE2xJpFhUVm7j66pmbX/fpczUTJpRw8cWjKSzs1IolE8ks+q5knvZUJ+aeOnAJh8SJuXtO4vNGHcysN9ALWOruK83sQuDHQCfgSeAKd9/YiPyHAvcnrNoR+C3B4OFnAsvC9Ze6+z/T5VVSUuLl5eUNLUpKWVlTqOXjbhYFBbm1BpnpAswePfLo3Lml73PKDJqZJTPEu2kkt8Dn5BhDh/bmtdfGt7kf2/ZE35PMoe9K5mmtOjGzN929pKnzTRcNVAE5ZvbNLWWwgdQyr7O7z6vrYO6+nITp/tz9OuC6+Gsza9SlcHefBYwI88oGFgAPA6cD17v7NY3Jv7F69Spg+fL1tW7v3j2Pu+/+IStXbmDVqkpWrqxk5coN4TLxebBcvz79lfr166tYv76KBQvW1rus+fk5aYLJ9IFmXl7HDDIlNXensrKaDRuqWb++ig0bqsJl7a8ff/xTPvpo2Tb/WFVXOx99tIwjj7yH73xnR3Jzs8jNzaZTp+wmf56dbZjVNY19x9KeWknaiz/+sfYuTZ98spzJk8u4+OIDcQ++i/FlLObbrHMnXN+wdbXlG3Vdezl+WdncWn+/Zs1aztVXz2TKlLYzUV26FsXPqX3KvmTemNZGC36NTwV+7e67NDSfpDwPAya5+2gzmwxU1CdQbI4WxUmTXuSKK15Jefk5J8e49NJv1evk2bixOkVAmbxMvW3duubrDpqXl9Pglsz8/NxmK1c68T+Al10WTD7Uu3dBu/4D6O5s3FgTKWhL9XrrdenTVlZWt2hLelMxg9zcIHAMAsj0z9MHoFn1yqspnjd1oJuJLVfuTnV1rEGPmpqG71t7nsnrGn+MbfPc+tEWv1sdXZ8+BSxdenGT59tcLYrpAsVLgd+HL+OJavvVcXevtUOcme0PnAEMBJYC/3D3x8JtPwSuIhgeh3T51EfYx/Itd78pDBTHAmuAcuAX7r4yxT5nAWcBFBcXj5oxo2m7TG7YUMOECW/x1VfrqUm4TyU7GwYOLODmm/cmP79l+hVWVcWoqKhm7drqcFnF2rWJr+PPt12/YUPz3WSTm2sUFeVSVJRDYWHwKCrK2fw6cVt8fVFRLoWFOeTlZTXoD2Om1Iu7U1UVBHAbN8bCRw2VlTE2bYpRWbn1+uTnQbro6fUHpv3LzTWys42cnKxan+fkWMIjq9bns2evZdasilqPtfvuRey2W1dqajzlIxZLvb6uR7r9YrFaiyPSKsyo87fVDF544eAmP/aYMWNaNlAEMLPvElzK/T1BsHhZbWndPeUUI2b2HYL+h8l/aS8BuhD0IYQgCK1290b/S2pmnYCFwJ7uvsTMigkueTvwO6Cfu49Ll0dztCjCti1XffoUcM45bavlqqqqJkJL5pYWzSBt8HrNmgZ3Qa1Tbm5Wgy6X33zzf7nmmv/U2tJ7ySWjueii0fVqcdv6dXXk/TI9eMvKMvLzcygoyCU/Pzdc1vY6arptX++yy1SWL99Qazn69Clg8eKLqKqqYdOmGqqqYi38PBY+r2nw81gswytbIsnONrKzs8LAuukeWwL59I9rr301bTekwsJO/OEPh2IGZrZ5mZVlDV5nRri+Yeta+/jNVaZ4Q0WfPlen7WbWbloUkw5eRtBqWO+L6mb2HPDtFJvWEQSPeQTjKM4ALnP3T+t7jBTHPBo4190PS7FtMPCEuw9Ll0dzBYpbytExO4NXV8dYvTp6kJm4bvXq5gsy2zIz6hGQ5TQocIu/7tQpu0X67TV1N41MFIt5mwp0Fy+uvTUxrkePvCYOluKtmk2dZ9MFc63dj7UjfFfamtaqk1YNFBMK0QU4AOhD0EL3H3dfV8c+XwPdgJuBvxC0HP4PcA5BC99rwBnu/klD3kAtx5wBPO3ud4Sv+7n7ovD5BcB+7v6TdHkoUMw8NTUxVq/eWO8Ac+XKSlavrmzR1jozGhCQNawFrqWCt5aUif3hOrrWaiWR9PRdyTzt7a7nyIGimZ1NMO5hUcLqCmCiu9+SZr94r69Cd4/PxpJP0KLowEB3X9iAstd2vALgK2BHd18drrub4BK6A3OAs+OBY20UKLYvsZjX2pJ5wQVPp71006VLLr/73ZhIQVt8XefO7S94a2ntoZtGe6KWq8yl70rmaY06ae1Lz98HHq1lswM/jN+ckmLfWJhmMFvfDDMn1foow+y0BAWKHYf+AGY2fVcyg1quMp++K5mnJeukuQLFqOMWXhQuFwKTgfHhcj5BkHdRyr22Ngf4MuHhKdZ/EbE8Ik3m4otHM3Rob3Jytm4BjP8BvPji0a1UMpHMUVjYiddeG8+ll35r87o+fQq49NJvKUgUaceiBoojCQK7I9z9Mne/3d0vA74bbh8RIQ+L+BBpUfoDKBJNYWGnrVrXly69mClTxug7ItKORR0kO55ucdL6JRHyeZktrYciGSn+BzDen0Sd8kVERKIHirOBYcC9ZvY7gptFBgC/Cbd/VtuO7l7amAKKiIiISOuIGijeBVwNHBI+EjkwvSkLJSIiIiKtL2ofxeuBv5O6T+FD4XYRERERaUcitSi6eww4wcxuBg4HehMMuP2Mu5c1X/FEREREpLVEvfQMgLu/BLzUTGURERERkQwS9dKziIiIiHQwChRFREREJKVmDxTNbH8ze8jMbrMUk9+aWZaZTQvT7N/c5RERERGRaFqiRfEc4GjgI08xsXR4o8wnwDHA/zTmQGY21MzeSXisMbP/NbOeZvasmc0Olz0acxwRERGRjqAlAsUDw+U/0qR5IFw2alJdd5/l7iPcfQQwClgPPAxMBJ53912A58PXIiIiIpJG5EDRzHLN7Cwzu8/MngrXfcvMDjKzwjS79g+Xi9KkWZiUtikcAnzu7nMJWjTjg4JPJ2i9FBEREZE0Ig2PEwaCLxC00hlb5m7+DUFAdj5wUy27VwKdgZ0JLjGnsktC2qbyE+C+8Hmxuy8CcPdFZrZdEx5HREREpF2KOo7iFKAkxfqpwKEELXS1BYofEFxSvsbMfujuVYkbzSyHYHrAeNpGM7NOwA+A/6vnfmcBZwEUFxdTVlbWFMVJqyWOIYE775zD9OlzI6U1m1JnmtNO24GxYwc3slQSlb4rmUd1kplUL5mnLdeJpbi/ZNtEZnOAgcCPgQcBd/dsM+sGrAQWuvuAWvadQBBEOjAPuIUtLYtDCW522SF8/TN3v6XB72bLMY8GznX3w8LXs4DSsDWxH1Dm7kPT5VFSUuLl5eWNLUqaMgaBiPukZjuGNExZWRmlpaWtXQwJ6buSeVQnmUn1knlask7M7E13T9Wo1yhRWxT7hcsnk9bHWwd7p9n3NuA0YB9gEHBlijQGvBGmbQo/ZctlZ4DHwjJcFS4fbaLjiIiIiLRbUW9m+Tpc7pi0/kdJ27cRXmo+giDItFoejwNHunt1xPLUyswKgO8ADyWsvgr4jpnNDrdd1djjiIiIiLR3UVsUy4DjgUfiK8zsQeD7BJeUX0i3s7uvBL5vZiMIgsZB4aa5wNPu/k49ypyWu68HeiWtW0Fw042IiIiIRBQ1UJwMHAXsypY7no8haA2sAH4XJZMwIHynHuUTkXZs8uQypkx5KVLaKDcYTZp0MJMnlzayVCIiEhcpUHT3WWb2LeA64CAgG4gBLwG/cPdZte1rZgelyboSmO/uC9OkEZF2avLk0kiBnW4wEhFpHVFbFHH3d4FDzCwf6AGsdPcNEXYtY0srZEpm9iFwkbs/E7U8IiIiItK86j2Fn7tvcPeFEYPEuNpuYok/hgFPmNn+9S2PiIiIiDSPqDOz1NSRZCXwIvDrFJehp6dIH1cA7AbsFZZlIppeT0RERCQjRL30bHVs70kwVM4YMxsVzq8MgLufXmfmZlcBvwQOjFgeERFpBrrBSEQSRQ0UpwOHAX2BmcB8gplaDgSWAP8lGJ+wB/Arwmnw6uEZgkCxez33ExGRJqQbjDKTAnhpLVEDxZeBU4Fj3f2R+Eoz+xHwd4IBs68luHHlOw0oR3yfVQ3YV0REpF1TAC+tJWqg+KtwmTyw9nMEl6UnuvvOZraCLdP9AWBmt6fJNx/YnaCPogOvRixPRtN/fiIiIu1bR/lbHzVQ3D5cXmdmk9x9gZn1A36TtH0TwdiIicZSx/A4BMFmNfCHiOXJaPrPT0REpH3rKH/row6P82+CYO50YF54F/R84GyCIPAVM+sKFANfpNi/ruFxPgZ+4O7/afhbEREREZGmFLVF8WzgWWDHFNs+D7d/g2CInEeTto9Jk+9GgplZ5kcsR53MrDswjWBsRgfGAYcDZwLLwmSXuvs/m+qYIiIiIu1R1Cn8vjSz3YHTgAMI+iEuBP4D3OXu1cAcUtzI4u51XsA3syzg28Dx7l7fO6aT/Ql4yt1/bGadCMZqPBy43t2vaWTeIiIiIh1GfabwqyJoqZvWFAc2MwNKgeMJxmDsHW5qcKAYXv4+iKBfJO6+CdgUHEpERERE6iNyoBi2zn0X2BXIS97u7pdFzOcgguDwWGC7+Op4NlHLU4sdCS4v32Fmw4E3gfPDbT8zs1OBcuAX7r6ykccSERERadfMve7YzMwGEwyNs0Ntadw9O83+owmCwx8TDNoNW8/24sCNwH3u/nqdBar9OCXAa8Bod3/dzP4ErAFuApaHx/kd0M/dx6XY/yzCFs3i4uJRM2bMaGhRIqmoqKCwsLBZjyH1p3rJPKqTzKM6yUyql8zTUnUyZsyYN929pKnzjRoo3gP8NE0Sry1QNLN5QP/4y4RNswla936abv/6MLO+wGvuPjh8/S2CMR6PSkgzGHjC3Yely6ukpMTLy8sbW6S02vot8+2V6iXzqE4yj+okM6leMk9L1YmZNUugGHV4nDEErXHjw9dOMEj2Q8BnwL5p9h3AlgDxZeBiYHd3HwpcUd8Cp+Pui4GvzGxouOoQ4KNwzMe4HwIfNOVxRURERNqjqIFi/EaT+xLWfUQwLM7OwCV17B9vthwUPgaYWaNbEGvxc+AeM3sPGEEQjP7RzN4P140BLmimY4uIiIi0G1FvZqkAuhHMnlIBdAH2Dp8DHJFm37fCtBD0cfxZ+FhDcOm5Sbn7O0By0+spTX0cERERkfYuaoviwnBZTDCLCgSXkd8Mn6+ubcfwevlOwP8B77JlNpZuBGMnOoCZ/cPMflifwouIiIhI84kaKJYTBHcHALeEz/MJBrMGuDXdzu7+pbv/wd33BnYBfg28z5agEYK+g3+vV+lFREREpNlEvfR8BkF/xCp3j5nZWoJxEDsBT7r7HVEP6O6fE/QbvMLMdgV+QjB0zh71KrmIiIiINKuogeJoAHd/OVw+CDwIwfR7Zpbl7rH6HtzdPwUuAy4Lpwg8ob55iIiIiEjziBoolgGxWtJXp9mGmfUEvknQF/EJTxq4MZzn+SiCS9BTI5ZHRERERJpZ1D6KsPVg2cEKs5zatiX4GfAw8OPkIBEgbIk8Pkxzbj3KIyIiIiLNqNYWRTM7GDg4ad1vk5LtFi43pDnG0eHyz2nS/Bk4KUz7uzTpRERERKSFpLv0XAokBoYGTEqRzkk/08mQcPlOmjRvh8sd06QRERERkRZU16Xn+PA1Hj4sxWM2cF6aPPLCZVGaNF3CZec6yiMiIiIiLSRdoHgDQWvgjmzpgzgk4TEY6Oruu7n7G2nymRcuT0uTZmy4/Cp9cUVERESkpdR66dndVxPOuGJmp4fr5jbgGM8AuwJXmVkv4E/uvjTMtw9wPnAxQYvl0w3IX0RERESaQaThcdx9OoCZbQ8MJMUl4vgYiylcQ9Bi2AWYCEw0s/iUf93CpQFrgWujFlxEREREmlekQNHMBgP3AvvVksRry8vd55nZCcD9QGG4untSsgrgBHefRyOZWXdgGjAsLNc4YFZ4/MHAHOB4d1/Z2GOJiIiItGdRx1GcBuxP6ptZEudrTsnd/0UQuN0IfApUEgypM4tgkO1h7v5UA8qfyp+Ap9x9N2A48DFBS+bz7r4L8Hz4WkRERETSiDozy34ErXPPEQyMXRm+jixsLTy/XqWrJzPrChxEeHOMu28CNpnZ0QTD/QBMJ5hp5pLmLIuIiIhIW2cpJkvZNpHZF8AOQM/wJpfoB6jfFH7/dvev65N/Ul4jgFuBjwhaE98kCE4XuHv3hHQr3b1Hiv3PAs4CKC4uHjVjxoyGFiWSiooKCgsL604oLUr1knlUJ5lHdZKZVC+Zp6XqZMyYMW+6e0lT5xs1UDyHYPaUU9z9nnodIJjNZRLwN3dPOUSOmd0NnAhMdvcGz8xiZiXAa8Bod3/dzP4ErAF+HiVQTFRSUuLl5eUNLUokZWVllJaWNusxpP5UL5lHdZJ5VCeZSfWSeVqqTsysWQLFqH0U9yUYKucuM3vVzO4ys9sTHn9Ns2/UKfwsIW1DzQfmu/vr4et/AHsDS8ysH0C4XNrI44iIiIi0e1H7KJ7Glj6J+4aPZGfUsm+LTeHn7ovN7CszG+rus4BDCC5Df0TwHq4Kl4825jgiIiIiHUHUQBHquLM5jcQp/FbUkqYpp/D7OXCPmXUCvgBOJ2g5fcDMziCYKea4JjiOiIiISLsWdcDtqJeoU5kH7ELQknddLWnGhstGT+Hn7u8Aqa7RH9LYvEVEREQ6ksYEgFE9Q9AaeZWZXW5m28U3mFkfM/s9cCWawk9EREQko0QOFM1sJzO718wWmVlluG6imf02nLmlNtcQzLySTTDQ9SIz+9rMvgYWA/8H5IZpNIWfiIiISIaIOoXfzgTDzvQgaB2M39iyK8El5WyCIXC20dJT+ImIiIhI04jaovg7oCewLGn9XwgCxyPT7dzCU/iJiIiISBOIetfzIQStiIcA7yesfzdcDtlmjyQtMYWfiIiIiDSdqC2K3cLlp0nr48PaaL4gERERkXYmaqAYH7amNGn9r5O2i4iIiEg7ETVQfJSgL+Jj8RVmthQ4j+CS9CNNXjIRERERaVVRA8XLCKbBS5w5pTdB8PgJ8PsmLpeIiIiItLKoM7OsNrP9gQuAI4A+wHLgKeAGd1/TfEUUERERkdYQea5nd68gGCbnd81XHBERERHJFFEH3D4S2Ad4y92fSFj/fWAk8N9wrMRWZ2ZzgLVADVDt7iVmNhk4ky3jQF7q7v9snRKKiIiItA1RWxSnAKMIxlFMtAqYDPwXyIhAMTTG3Zcnrbve3a9pldKIiIiItEFRb2YZGi7fSFr/ZrjcrWmKIyIiIiKZImqgmBsuByatHxQuI/d1bAEOPGNmb5rZWQnrf2Zm75nZ7WbWo7UKJyIiItJWmLvXncjsXYK5ml8l6Ov3KUEr41+A0cB77j6i+YoZnZlt7+4LzWw74Fng5wRzSi8nCCJ/B/Rz93Ep9j0LOAuguLh41IwZM5q1rBUVFRQWalKbTKN6yTyqk8yjOslMqpfM01J1MmbMmDfdvaSp840aKF4CXEkQaKUy0d2vbsqCNYXwJpaKxL6JZjYYeMLdh6Xbt6SkxMvLy5u1fGVlZZSWljbrMaT+VC+ZR3WSeVQnmUn1knlaqk7MrFkCxaiXnq8DnicYYDv58RxwfVMXrCHMrIuZFcWfA4cBH5hZv4RkPwQ+aI3yiYiIiLQlUQfcrjKzw4ETgSMJBtxeBvwTuM/dY81XxHopBh42Mwje273u/pSZ3W1mIwhaROcAZ7daCUVERETaiDoDRTPLA64gCLJudPe/NXupGsjdvwCGp1h/SisUR0RERKRNq/PSs7tXErTA/S+wtLkLJCIiIiKZIWofxZnhcnAzlUNEREREMkzU8Q+vIpiZ5e9m9huCm0EqExO4+7wmLpuIiIiItKKogeJzBH0UuwN/T7Hd65GXiIiIiLQB9QnurNlKISIiIiIZJ2qgOKVZSyEiIiIiGSfqOIoKFEVEREQ6mHr1KzSzoUAp0NPdr2yWEomIiIhIRog6PA5mdiPwIXAz8Ltw3UdmVmNmJzRT+URERESklUQKFM1sAnBumD4+xzMEc0Ab8ONmKZ2IiIiItJqoLYr/QzAEzrVJ658MlyObrEQiIiIikhGiBoq7hMtJSetXhMvtm6Y4jWdmc8zsfTN7x8zKw3U9zexZM5sdLnu0djlFREREMl3UQDE+C0th0vqSpO2ZYoy7j3D3ePkmAs+7+y7A8+FrEREREUkjaqD4Vrj8c3yFmf0cmEFwSbq8icvV1I4GpofPpwPHtF5RRERERNqGqMPj/JFgWJwfEQSGADcQ3MjiwDVNXbBGcOAZM3PgL+5+K1Ds7osA3H2RmW1XZyYrllF9581brbM9h5O9z2i8ahM190zbZp+sESVkjdgXX19BzQN3bbu95ACyho3EV6+k5uH7GLZqFdVzPtqy/YCDyRq6J758KTVP/GPb/Q86lKwdd8UXL6DmqUe33X7IkWQNHELsqy+JPf+vbbZnH3E01rc/sS8+Jfbyc9tu/96Psd7bEZv1IbFXX9p2+w9/inXrQeyDt4mVv7rt9uNPxQoKib3zBrF3tv3fIfuk8VhuJ2r+OxP/8N1ttueMnQBAzX9exD/9eOuNubnknHRmsP2lZ/EvZ2+9vaCAnOPHBtufexKfP3fr7V27kfOjk4LtTz2CL1649fZefcj5/nEA7PTpu1vVC4D13Z7sI44BoPqhe2DN6q23D9iB7EOPCrY/cCesX7/19iG7kH3wd4Lt99wGVVVbb991d7IPHBNsTzrvoOnPvW22Z/i516nvEIB2f+5VP/53WLFsq82Zeu7Ff7/a+7nX1n73tvq70k7Pvbi2cu51W7ltPAHNf+41lagDbj9tZmcR3MzSNWHTWuBid3+mOQrXQKPdfWEYDD5rZp9E3TF8j2cB7NmvmFWrVm21ffmns1m8roqsmmr2SNoGsPSTWSxdtZ6cqo3slmL74o8+Yvny1XSq3MCuq1ZRU1Oz1TEWvP8+KxctI399BTul2P+rd99l9byFdKlYzZAU2+e+9TZrP59L0eqv2SHF9i/Ly1lXOJtuK5cxMMX2z994gw0FhfRYvpj+KbZ/+uprbMrLp/fSBfRNsf2TmTOpzu3Mdou/YrsU2z96+WVi2Tn0XTCH3im2f1BWBsD2X31Bz6TtsawsPgq3D5j7Jd2TtletW8escPsO8+ZRtGbr7Rs3VDI73D5k/ny6VKzZavuGTVV8Hm4fVFXFqvXrttq+rjrGl+H2XZYsofPGrXtbrI0Zc8PtQ5ctIzfpB3HVnC+Z78H2PVasICsW22r7159/wcJNwWACw1J8Nk197iXL9HNvfdd1lJWVtftzb6dFC8lvI+de/PervZ97be13L/HvSns99+LayrnXacOGbeIJaP5zr6mYu9edKp7YrAtwINAHWA78x90rmqlsjWZmk4EK4EygNGxN7AeUufvQdPuWlJR4eXnzXlEvKyujtLS0WY8h9ad6yTyqk8yjOslMqpfM01J1YmZvJtyb0WTqbFE0syHAKIJLum+7+7NNXYimEgayWe6+Nnx+GHAZ8BhwGnBVuNy2DVlEREREtlJroGhmWcBfgHFJ66cD4909lnLH1lUMPGxmELy3e939KTP7L/CAmZ0BzAOOa8UyioiIiLQJ6VoUzwfOSLH+NOBj4OpmKVEjuPsXwPAU61cAh7R8iURERETarnTD45weLpcCU4EbgWUEdzqf1szlEhEREZFWlq5FcWeCfomHu/u7AGZ2B8GYiju1QNlEREREpBWla1HMA4gHieHzd8KnnZqxTCIiIiKSAaLc9fwtgsvNade7+8tNWzQRERERaU1RBtwuS3rtKdZ7xLxEREREpI2odcBtM6vP8Dfu7tlNU6TMYGbLgLl1Jmyc3gQDl0tmUb1kHtVJ5lGdZCbVS+ZpqTrZwd37NHWm6VoBpzf1wdqS5viwk5lZeXOMoi6No3rJPKqTzKM6yUyql8zT1uuk1kDR3U+vbZuIiIiItH/p7noWERERkQ5MgWLrurW1CyApqV4yj+ok86hOMpPqJfO06Tqp9WYWEREREenY1KIoIiIiIikpUMxQZjbHzNzMxrZ2WWQL1UvmUZ1kJtVL5lGdZJ62UCcKFBOYWVlYYW5m1Wa20szeMrMpZtatmY7ZpCeJmV1uZu+F5XczK2uKfFtTW68XMxtsZveZ2WwzqzCzVWb2mpn9uAmK2iraep2E+T1mZgvMbGNYJ2+Z2f80Rd6tpT3US0K+R5pZLMx7TlPm3ZLaQ50k5Jf8GNYU+be09lAnYZ6nm9mbZrbBzNaY2dtmdlBT5R+n2VRS+xh4ARgCfAcYCZxqZt909wWtWrK6jQa+Bj4Hdm3lsjS1tlovg4HjgVeAF4GDgP2AB8zsCHd/phXL1lhttU4AdgJeBlYCw4EDgVvMbIG7P96qJWu8tlwvmNkA4G6ghvbzd6pN10noDmBNwuu2PrB3m60TM/s98CtgE/A4sALYDRjY5Adzdz3CB8G0hA7cmbBud2B1uP7BhPXDgceAhQRfnFeBIxO2jw33mQNcCCwg+IN0H9AjTOMpHmXhtjnh698C/wQ2EAR/R0d8L9MS82vLj7ZeL0B/YJeE112BijCfP7X259sR6yTF+8lKKPsFrf35duR6IQgMZxLMjDU1XobW/mw7eJ3E9xvc2p+n6sQBdgCqw/0ObvbPq7UrLJMeqU6ecP3V4fpNQB4wIqzMauDJ8ISI/+E/JunkiQGzgL8StPQ58FiY5obwxHPgmfD1z5JOnhrgQeC18PVqoDDCe2nXgWJbrZcwj27AxnC/i1r78+3IdQKcA9xEEJg48CFQ3Nqfb0eul7Csmwha3SfTDgPFNlgn8f2+BtYB7wPntvZn21HrBBgfpqkAngjzng9cDxQ0+efV2hWWSY80J88EtvwXsD1bgrDPwgq/AXiTrf9LiJ88VYR/eICjE/Lpm3SSjE06Znz9tPB174R9R0V4Lx0hUGyL9dIl/KFw4C2gS2t/vh25ToDnEtJuAq5pq3XSHuoF+D7BH9zzwteTab+BYpuokzDdW8AjwP9jSyDjwPmt/fl2xDoBLk1I8ylwG0ErpgN/aerPq730/WhuO4bLKoL/FHYIX+8EnJ+UNrl/wHJ3XxI+/yBh/SBgcYRjvx4uVySsK4qwX0fQpurFzAYSXMIYQfBD9UN3XxfhWG1Jm6oTdz/UzDoRXF56CPgF0Ac4LcLx2pK2Ui/jCFpWDjOzw9jSz3o7M3sC+Lm7fxnhmG1BW6kTCAIWBzAzI2iBPwD4CfCnCMdrK9pKnSTmd7K7v2FmHwPXAscCZ0c4XmS667kOZrY7cGb48gl3rwTmha+fc3eLP4DOQGlSFr3NrDh8nniHWDyP6nBZW11UAcS/pBJoa/ViZvsBbxAEiX8BDnP3VVH2bSvaUp2YWVH4Bw933+Tu/yW4bASwT137tyVtqV4AI+ijeFT42CVcnx++7hYhj4zXlurEzHoBPZNXh8u8uvZvK9pSnQBvp3oL4bIiwv71okAxtX3N7KbwP9h3CW4+mAOcF27/M0Efs0PN7N9mdouZPULQ2fWMpLyygJfNbBrBHWMAT7p7/D+CueHyQjP7k5n9oDEFN7OJZnYnwZ21ALuZ2Z1mdk1j8s0QbbJezGwPghbEvsBXQCVwtZndYGYnNjTfDNEm64Tgv+65Zna/md1sZi8Dh4Tb/tWIfDNFm6wXdz8m6Q/ylPgxwnXvNDTvDNAm6wTYC5hvZv80s/9HcDPH/uG2OxuRbyZok3Xi7m8Dj4Yv/2ZmtwG/Dl//paH5pjugHtv2W3CCyx8rCfpmTAa6JaUdGVbUAoI//HOB+4H9fOt+C3OAcwk6mq4K0/RKyOcAgmbqTWH6a7yW/gwJZSuN+B4SH3Na+/PtqPVC8J9nqjrZpo9MW3m0gzo5kGBonGUE/+lXEPQ9ugjIbu3Pt6PWS4r3Mxn9frX2d2UAQUD4ObCe4JLsq8CJrf3ZdtQ6CdMUATcTXIZeH+b9M8KpmZvyobmem0k4qOYdBP8JD27d0kic6iXzqE4yk+ol86hOMk9HqBNdehYRERGRlBQoioiIiEhKuvQsIiIiIimpRVFEREREUlKgKCIiIiIpdfhAMRxj0FM8fpaQZriZPWZmS8xso5ktCsdf2zFNvqXxvFrmnbRdUT7fiPU0ycw+M7N1ZrY+fH6NmdU6KKzqKWBmfzGzd81sZfjZfWxml5pZdkKaHc3sXjNbYGaVYfoTErYPrqWOtvl8zeybZva0ma02sw1mNjuxLlOUr8PVU5RzPkyX9rPUd6dpRD2/I/6eRUmTY2ZTzGyOmW0Kl5MSv5Mpytih6iSurt+mME2U37go9dLhviuawm+LZ4GPEl6/A5unK/oX0I9gvscnge8CxwM7A6NaonBm1sndN7XEsVpSAz7flPUU2gX4kGAu5b4E823+gmDE+l80fem31Ybr6SzgfeBhgmmsDgYuBwqAX5tZV+AFgimt3gCeJpi+a4aZ4e73E0xMnzyd1/cIpr/6NL7CzI4kmMowB3iRYEaU/sDQ5npzydpYPdV6ztfzs9R3p3HqPL+j/J7V4zfvCuBiYAlwD3AkwTh/vdgyIHSzagN1QsTfJqj7Ny5qvXS870prD3zZ2g+CgUS3GuwyaXtXtgx++YNwXXzi8FW17DM2YZ/Ex9hw+0HA8wSD/X4NPAfsn7D/5DD9K8B1BHM/vpg0EOcvgfeADcDjBBOY/5Vg4OAvgB8l5Hc0wWDCa4F1BD9qt7T2Z1+fz7eueqol78fDfR5VPdX5WZUmvX45LP+74esjE95T93DdDeHrD2vJs0f4XhwYl7B+drjutxHL1iHrKco5H+WzjJKPvjsNqp9tzm8i/J5FTNMrfN8OHBGuOzx8XQX0UZ1sPk6k3ybq/o2r99/6jvJdabYvUVt5sOVHdBXBVD1fhJXRNSHNn8I0s8MPfzHB6OoTaslzX+AfCZV4Q/jYNzypY2GFPhQ+NoWPfZJOjBjwJXArcGXSibEWuB1YHr5eSTD/49MJ27sRzMVZGa57IMzrWeCj1v7s6/P5RqmnMN13wvweIhhx/2vgW6qnetfJ62FZnghfj0l4T4cRzArwbMK6ohR5/Cbc9hXQKVy3c8I+jxH8OK4IP9/Bqqfov01RP8u68tF3p8H1s835XY/fs7RpCFq7koOfooR131WdbH7f9f5tSvUbF7XuOuJ3pcX/AGXag2BexOfD5WNhpTvwcEKabwKfJFSKA+XAgWnyLY2nTVr/XLj+rYQTJt4qcGfSiVFB0n+OCce/IHx9HVv+y+wFdElIs1/4ujrcfgowPDxZclr7s6/P5xulnsJ0v07K51FgiOqpXvVxOVt+bPYI12UnfCapHtsn5ZEPLA23/W/C+gMT9lkF3EZwudQJpqBK+X47Yj1Rxzkf9bOsKx99dxpUNynP73BblN+ztGkILp3G12eH6yxh3Umqk81lq9dvk9fyGxe17jrid6VZvkRt6UHSvIjAleGHWkPQd6EXQfOsE/QLyQuXThCl96zniRE/CVI9nk86MV5LkW887aHh6/h/tfMT0lQnpRlLME9nfN+NBP8tZWXA5x/p862rnpK2ZQFDCPqQOMF/YSnfq+ppqzLnAX8Lj/0VMCzF53os8DuCvlO/YMuPUl5S2p+H25YDXRLW75jw/n4Zrts7Yd2wWsrW4eqprnM+6mdZVz767jSobmo7v+v8PYuY5uCE99I9zDtti2JHrhMi/jaR5jcuSr101O9Kh7/rGdg16bUlLDsBgwl+lAH+7e6VwMzwdWG4PZXqzRmaJX7O88LlX93d4o8wr5OS8qhMU+54/p58vBRmuPtOBD9A3ySYQHwcQYtEaxtMtM83bT2ZWW78rjN3j7n7lwR9UOLH6F3L8VVPgJn1JbgZ4iTgVYLLHh8kJctx9wfd/TcE/7keEa5/May3eF45bOnUPdXd1yXkMY/gMs1Wh094XlFLETtiPdX12xT1s9R3pwnVcX4Ppu7fsyhpPiT4Aw6wf7gcHS6rCVq5UumQdUKE36YIv3GDqaNeOup3RXc9w8dm9irBF7MvcFS4/lF3X2VmHxHcdVYMPGBmzwGHhGkWs/VdhInmJjx/wMzmA1cB1xP0qTjDzAYS/BcykKBD688J+hM1tWVm9jLBf1BFBJ12IWh2b21RP9+66mkw8J6ZlQHzCe5ci6d5y92X1nJ81VPgDYL3V0lwN+zE4CZAvnb3y8I0j5lZFbCQ4EdlGMF/4L9MyuunBHcgVgA3JW5w92oz+x3B53upme1C8JkCPOPuc2opX0esp7TnPEDEz1LfnaZV6/lNtN8zqyuNu1ea2U0EAemdZvYvgv5sALeqTrYR5beprt+4KHXXn474XWnqJuC29gCuJbhbaDXBifUh8CsgPyHNMILOqIsIOpkuAh4E9qwj70ls6cfibLkUNIagb8JSgk6snwN3AEN966bmshR5xvMqDV/H+0rMSUiT3NR8P0EH9g0EP27vAqe39mdfn8+3rnoi+O/oCWABwX/iGwnu5voT0Fv1VGcd1Hb5I7G8V4af7yaClqyHgb2S8jGCISgcuKaWYxlwIcFll40EP47XAd1UT/X+barzs6wrH/TdqU+dRDm/o/yeRUmTQ3ApdS7BJdS5wGXU1Z+sg9VJeKwov01RfuPS1gsd9LuiuZ5FREREJCX1URQRERGRlBQoioiIiEhKChRFREREJCUFiiIiIiKSkgJFEREREUlJgaKIiIiIpKRAUURERERSUqAoIiIiIikpUBQRERGRlP4/gHJDG92/VcwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "chunk_size = 6\n",
    "x = ['Depth ' + str(each + 1) + '\\n' + str(len(multi_level_duis_mcclags[each])) + ' terms' for each in range(len(greater_one_percentages[:chunk_size]))]\n",
    "\n",
    "fig = plt.figure(figsize=(10, 4))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.axhline(y=50, color='salmon', linestyle='--')\n",
    "line2, = ax.plot(x, max_window_freq_percents[:chunk_size], marker='o', color='teal', linewidth=2.5, markersize=8, label='Frequency Analysis')\n",
    "ax.errorbar(x, max_window_freq_percents[:chunk_size], yerr=[freq_std[:chunk_size], freq_error_max[:chunk_size]], fmt='o', ecolor='teal', elinewidth=2, capsize=10, color='teal')\n",
    "line1, = ax.plot(x, max_window_imp_percents[:chunk_size], marker='o', color='navy', linewidth=2.5, markersize=8, label='Impact Analysis')\n",
    "ax.errorbar(x, max_window_imp_percents[:chunk_size], yerr=[imp_std[:chunk_size], imp_error_max[:chunk_size]], fmt='o', ecolor='navy', elinewidth=2, capsize=10, color='navy')\n",
    "\n",
    "ax.grid(True)  # Add gridlines\n",
    "ax.set_ylabel('Percentage of terms with \\n CCAUC Ratio > 1', fontsize=15, weight='bold')\n",
    "ax.set_xticks(range(len(x)))\n",
    "ax.set_xticklabels(x, fontsize=13, weight='bold')\n",
    "ax.set_yticks(range(50, 101, 5))  # Set y-axis ticks from 50 to 100 in steps of 10\n",
    "\n",
    "plt.legend(loc='upper center', fontsize='large', bbox_to_anchor=(0.5, 1.15), ncol=4)  # Add legend\n",
    "plt.savefig('impact_vs_freq_CCAUC.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "chunk_size = 6\n",
    "x = ['Depth ' + str(each + 1) + '\\n' + str(len(multi_level_duis[each])) + ' terms' for each in range(len(depth_wise_chi2tests_maxlen[:chunk_size]))]\n",
    "\n",
    "fig = plt.figure(figsize=(10, 4))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.axhline(y=50, color='salmon', linestyle='--')\n",
    "line2, = ax.plot(x, depth_wise_chi2tests_maxlen_freq[:chunk_size], marker='o', color='teal', linewidth=2.5, markersize=8, label='Frequency Analysis')\n",
    "ax.errorbar(x, depth_wise_chi2tests_maxlen_freq[:chunk_size], yerr=[depth_wise_chi2tests_std_freq[:chunk_size], chi2tests_freq_error_max[:chunk_size]], fmt='o', ecolor='teal', elinewidth=2, capsize=10, color='teal')\n",
    "line4, = ax.plot(x, depth_wise_chi2tests_maxlen_imp[:chunk_size], marker='o', color='navy', linewidth=2.5, markersize=8, label='Impact Analysis')\n",
    "ax.errorbar(x, depth_wise_chi2tests_maxlen_imp[:chunk_size], yerr=[depth_wise_chi2tests_std_imp[:chunk_size], chi2tests_imp_error_max[:chunk_size]], fmt='o', ecolor='navy', elinewidth=2, capsize=10, color='navy')\n",
    "\n",
    "ax.grid(True)  # Add gridlines\n",
    "ax.set_ylabel('Percentage of terms with \\n p-value < 0.05', fontsize=15, weight='bold')\n",
    "ax.set_xticks(range(len(x)))\n",
    "ax.set_xticklabels(x, fontsize=13, weight='bold')\n",
    "ax.set_yticks(range(50, 101, 5))  # Set y-axis ticks from 50 to 100 in steps of 10\n",
    "\n",
    "plt.legend(loc='upper center', fontsize='large', bbox_to_anchor=(0.5, 1.15), ncol=4)  # Add legend\n",
    "plt.savefig('impact_vs_freq_granger_causality.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1864593/14926576.py:19: MatplotlibDeprecationWarning: Support for passing numbers through unit converters is deprecated since 3.5 and support will be removed two minor releases later; use Axis.convert_units instead.\n",
      "  ax1.set_xticks([])  # Remove x-axis ticks for the top subplot\n"
     ]
    },
    {
     "data": {
      "image/png": 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ELVtaYuHCPg1Us8omTZqEZcuWwcrKClevXuXPtBw2bBhGjBiBl156Ca6urjA0NFQYNlywYAECAwMxdOhQmJubY/r06fxZokuXLkVQUBAsLCywe/duhfIuXryIuLg4vPXWW2jevDl/8/f3h6enJ3bu3Kmyzl9++SV+/vlnmJmZYebMmVWe4FImICCADwrL95gcPXoUbdu2hampKUJCQvDLL7/wPTNl5HI51qxZgxYtWsDKygpnzpxReqJLffOcORMmLi4QGRgoLBcZGMDExQWepUOe9cnHxwcbN27E22+/DUtLS3h6evInX+jr62P//v3Ytm0bLC0tsWvXLowdO5bf9qWXXsKnn36KIUOGwMvLq9IZyqtWrYKnpyd69uwJc3NzDBkyBNHR0YLq9eWXX6J9+/bo1q0brKys8OGHH/Jn8gIlfxxu3rypcExteQUFBdi9ezfeeecdhX3W3d0db7zxhqDplt59913k5+fzx/sNH179H0wnJyd06dIFHMcpHEcYExODIUOGwNTUFL169cLcuXOVzl0oZN8mRF04VlXfNyGN0J07d9C6FkNuOTlFWL36PDZsuIKnT/NhbW2EOXN8sHBhH5iaKj+4vb69+eabcHJywv/+97+GrorGtWzZEv/3f/+n9Dg5XSXNzUXsxo2I/+knFGVmQt/SEq6TJ8Nz5kxIdGDIUFv2v+3btyM8PBznzp1r0HpUNG3aNLRo0UKj709tv98IKY+GkgkRwNRUH8uWDdSaIeOmbN++feA4DoMGDWroqqiVxMQErd59t96HjBuTvLw8fP/995g7d25DV0VBXFwc9u/fj+vXrzd0VQhRiYaSCSE6w9fXF3PmzMF3330HkYi+vsgLx44dg62tLezt7TFp0qSGrg7vk08+Qbt27bBw4UK4u7s3dHUIUYmGkkmTQkMthJDGir7fiDrQX25CCCGEEAKAAkPSBFEnOSGksaHvNaIuFBiSJkVPT4+fhoUQQhqL4uJilRNzEyIEBYakSSmbTDcvL4/+YRNCGgW5XI7U1FQ0a9asoatCGgH6e0GaFHNzcwDAo0ePUFxc3MC1IYQQ9TAxMYGNjU1DV4M0AnRWMiGEEEIIAUBDyYQQQgghpBQFhoQQQgghBAAFhoQQQgghpJTWB4bTpk2DnZ0d2rVrxy/LyMiAn58fvLy84Ofnh8zMTD5t5cqV8PT0hLe3N44dO9YQVSaEEEII0Ulaf/LJ2bNnYWpqiilTpuDWrVsAgA8++ABWVlYIDQ1FWFgYMjMzsWrVKty+fRsTJ07E5cuX8ejRIwwZMgT37t2DWCyutgwbGxu4ublp/LXk5ubCxMRE4+UQ4ahNtBO1i/ahNtFO1C7apz7aJC4uDunp6RrJW+unq+nfvz/i4uIUlh08eBCRkZEAgKCgIPj6+mLVqlU4ePAgJkyYAAMDA7i7u8PT0xOXL19Gr169qi3Dzc0NV65c0dAreCEyMhK+vr4aL4cIR22inahdtA+1iXaidtE+9dEmPj4+Gstb6wNDZVJTU+Hg4AAAcHBwQFpaGgAgOTkZPXv25NdzcnJCcnKy0jzCw8MRHh4OAEhKSuIDTU3Kycmpl3KIcNQm2onaRftQm2gnahfto+ttopOBYVWUjYpzHKd03eDgYAQHBwMoibzr4x8X/bPTPtQm2onaRftQm2gnahfto+ttovUnnyhjb2+PlJQUAEBKSgrs7OwAlPQQJiYm8uslJSWhRYsWDVJHQgghhBBdo5OBob+/PyIiIgAAERERGDNmDL/8l19+QWFhIR4+fIiYmBh07969IatKCCGEEKIztH4oeeLEiYiMjER6ejqcnJywbNkyhIaGIjAwEJs3b4aLiwv27NkDAGjbti0CAwPRpk0bSCQSfPfddyrPSFaH6HXrcO+bbwSt+7uAdV6aNw/eISF1qxQhhBBCSA1pfWC4c+dOpctPnTqldPmiRYuwaNEiTVapEu+QEJWB3O8tWwIARt+/Xx9VIoQQQgipsQYZSp46dSokEq2PSQkhhBBCmpQGO8ZQy+fVJoQQQghpcjTWbefh4VFlmqZm6yaEEEIIIbWnscCw4tVKKqpqfkFCCCGEENIwNBYY6uvro23bthg7dmyltP379yMqKkpTRRNCCCGEkFrQWGDYvn17GBgYKD1DODY2lgJDQgghhBAtU+XJJx988AEOHToEANi+fTuuXLlSo4zfeOMNuLu7K03r27cvpkyZUqP8CCGEEEKIZlXZY/jll19CKpVi1KhRePPNNzF//nz4+PgIznjevHlVpk2fPh3Tp0+vWU0JIYQQQohGVRkYGhsb4/jx49i2bRsA4L///sP27dsrrUc9f4QQQgghjUOVgaGPjw/Onj2L6dOng+M4nDhxAidOnFBYh+M4CgwJIYQQQhqJKgPDTZs2YcGCBbhz5w4ePHgAU1NTWFlZ1WfdCCGEEEJIPaoyMPT09MRvv/0GABCJRJg+fTrWrl1bbxUjhBBCCCH1S9B0NXK5HADw6NEjJCQkwNnZGY6OjhqtGCGEEEIIqV+CrpUslUoxefJkODs7o0+fPnBxccGkSZNQXFys6foRQgghhJB6IqjH8Ouvv8bOnTsVlu3atQudOnXCBx98IKigzp07Iz4+HqmpqdDT06t5TQmpgeh163Dvm28Erfu7gHVemjcP3iEhdasUIYQQouUEBYYRERFo1qwZNm7ciPbt2+PmzZuYOXMmfvzxR0GB4d27d3Hjxg1wHIfDhw/jlVdeqWu9AQDr1q3Dxo0bwRjDzJkz8e677yIjIwPjx49HXFwc3NzcsHv3blhaWqqlPKI7vENCVAZyv7dsCQAYff9+fVSJEEII0XqCAsOHDx9i4sSJGDduHADA29sbR48exS+//CKokJ07d8LGxgatW7fGzp071RIY3rp1Cxs3bsTly5ehr6+P4cOHY+TIkdi4cSMGDx6M0NBQhIWFISwsDKtWrapzeYSQuqOeXEII0W6CAkNra2tcu3YNxcXF0NPTQ3FxMaKiomBtbS2okJ07d2Ls2LHo2LEjFi5ciNzcXJiYmNSp4nfu3EHPnj1hbGwMABgwYAB+/fVXHDx4EJGRkQCAoKAg+Pr6UmBIiJagnlztQ8G6dqJ20T5NpU0EBYZ9+/bFL7/8AicnJ3h6euL+/ft48uQJJkyYoHLbq1evIjY2Fhs2bEC7du3wzjvv4ODBg5g0aVKdKt6uXTssWrQIT58+hZGREf744w/4+PggNTUVDg4OAAAHBwekpaXVqRxCCGnMKFjXTtQu2qeptImgwHD58uU4evQonjx5gidPngAALC0t8fnnn6vcdufOnbC1tcXAgQMhEonQt29f/Pzzz3UODFu3bo0PP/wQfn5+MDU1RceOHSGRCHo5AIDw8HCEh4cDAJKSkvheRk2rr3KIcNQm2onaRftQm2gnahfto8ttwjHGmJAVHz16hC1btiAhIQEuLi6YOnWqyrkMGWNwcXHByJEj8cMPPwAA1q9fj/fffx8pKSlqvZLKxx9/DCcnJ6xbtw6RkZFwcHBASkoKfH19ER0dXe22Pj4+uHLlitrqUp40NxexGzciZv16AIC+pSVcX38dnjNnQlLH4XRSN43hn11jRO2ifahNtBO1i/aprzbRZNwiaB5DAGjRogUWL16M8PBwLF68WNAE13/99ReSk5Px2muv8cvGjRsHqVSKvXv31q7G5ZQNEyckJGD//v2YOHEi/P39ERERAaDkbOoxY8bUuZzakubm4tyrryLm++/5ZUWZmYj5/nuce/VVSHNzG6xuhBBCCCEVCR97rYXOnTvj4cOHcHFx4Zc5ODggPj6eP2mkLl599VU8ffoUenp6+O6772BpaYnQ0FAEBgZi8+bNcHFxwZ49e+pcTm3FbtyI7AcPAJlMMUEmQ3ZsLG58/DHcXn8demZmkJibl9ybmIATCY7XCSGEEELURqOBoZmZGczMzCotd3JyUkv+f/31V6Vl1tbWOHXqlFryr6v4HTsqB4VlGMOjQ4fw6NAhxeUcB4mJCSRmZiWBYul9+cf8fVkwWXE5BZeEEEIIqQWNBoZNXdGzZzXfiDFIc3IgzclBQUpK7QquLrisKpik4JIQQghp8igw1CB9CwsUZWZWma5nbo4u33wDaXY2irOzVd/n5KA4OxtM1TWq1R1cCg0mKbgkhBBCdJrgwPDq1av47rvvkJSUhB07duDo0aPo1asXvLy8NFk/neb6+uslJ54oG04Wi+EWFAS7fv1qlCdjDLKCAuHBZOl9xWVMKlVVkHqCS1PTGgWTFZdpIrgsO1O8zDEfHzpTnBBCCIHAwPDSpUsYMGAAioqKwHEcTE1N8fbbbyMwMBCbNm3SdB11lufMmXh89GjlE1DEYph5eMBz5swa58lxHCRGRpAYGcHQzq5W9RIcXGZlKQaVOTk1Dy5L1601VcFl+d5MU1Ol65QPLsvOFM9+8IAvouxM8cdHj6Lvvn0UHDYQCtgJEYY+K9qnMbWJoHkM/fz8cPbsWbi6uuL+/fuQyWQYOXIk7t27h5iYGJWFFBQUYP/+/fwciAEBATAyMlLLC1CHep3H0MoKrpMn6+TOUp7S4DIrS3WPZU2DS3UoF1zKCgpQlJFR5XoWHTrAyscHHMcBIhE4sbjax5xIBJR7zInFJekcp/pxuVt1z5U+VlEvpY9Ly0e5x+Xr1ZAUAnYlf6IoYG8YNA+r9qHPivZpiDbRZNwiKDC0trbGwIED4ezsjG+++QYymQxz5szB9u3bkatiLr4nT56gT58+uF9uskcPDw+cP38edrXs8VI3Tb7BZWgi0soYY5Dl59d6OJwPLqs685vUiNCglhOJgKoeCwx2Kz7PiY9HXlxclXUz8/aGRfv2VedTFpxXCLoV1hWLFeqqtL5qyEfjZdUTbQ9AGGOAXA5WegNjYDLZi8dly+VyxXUZA0rXK79u2Xr84/LbV8ij1uvKZIrbKXsNcnnJd1oVr+HJxYvIvHIFUPbTzXGw7NwZVl27Kk8v/97V/A2vXX4aSNO2+j/79188v31b+bpiMbzmzkWrd98VWFFhNBm3CBpKFovFlZY9fPhQ6VQ0FS1ZsgSxsbEQi8WwsbFBeno6Hjx4gKVLl+L7chM/67KlSyOxbNkZFWtNKbnjlqnMb8mSAVi61LfO9dJ2HMdBYmwMibExDO3ta5WH0OCyrDcz6cABlXmKTUxKvpjLvtBLHzd2TCYr+eFq6IookR0djWwVVzBqMgQGmEp7mMsFmKqC0LzkZOQnJVUuXyZDdkwMIkeMgLGTk/IArDQAUhUolQ+AlK5bTaBElGAMmdeuIfPatYauCSkjkyH+p5/UHhhqkqDAsH379jhy5Ahat24NAAgODsbx48cxZMgQldseP34cXl5eOHPmDJo3b47Hjx9jwIABOHbsWN1qrkWWLvVVGchxpQEhY0vqoUZNR02Dy7QzZ6o9U1zfygrD/vlHaVr5IFHZ4yp7D6p5XO3z8j+GFR4r/QGu7nHFnhIVr6Wur1HV84qPn/37r8q2M3RwUHhvKr5Wvq6NPXgoe40NXI385GTkJyc3cC2IMiJDQwCo/hCRWqTV+pCTarZTdx1rXVZ1VORZmJ5e7ebV/eZoI0GB4ZIlSzBw4EBcv34dALBp0yZwHIdFixap3DYlJQWTJ09G8+bNAQDNmzfHgAED8NNPP9Wh2oTUjqozxV0nT65yW47jwElohidNOObjozJg9zt3rkZ5MsYqB9blhxAFBphKA/Ry+VQcIqxLWUrLrZiPkjwr1bnCH4yKw6dCysq4fFnle2zdo0dJL2NZ72P5x+WPcS07jrV8T2X543LLb1dxXSXrlc9DoQe14iEOVa1b4VhbZfVSOrxf23XL16X88clVvYZqXq+Qz0pVf26JZqhsE0vLeqxN3Qn6levfvz8OHTqENWvW8CeQzJ8/HwMGDFC5rYuLC/744w9ERUWhbdu2+O+//3DkyBE4OzvXufKE1JQmzhQndVeXgL0qHMe9CDgooK8xIQFI759/rscaEUAznxVSN42tTQQfyTxixAicPHkS9+7dw8mTJzFy5EhB273yyit49OgRunbtCkNDQ3Tt2hWPHj1CQEBArStNSG1JTEzQd98+eM2dyy/Tt7KC19y5DX4wfVPmOXMmzDw8gIrHM1PA3mBcX3+9cnuU0cEfu8aCPivap7G1iaCzkj/77DOlyyUSCTw8PBAQEAADAwOl6+Tk5GDo0KG4ePEiv6xHjx44fvy4oJNX6kN9nJVMxxhqHzpTXLs01qmddJW2n5XclNFnpWEIO9FUuLqcaNrg09WIyo6DqIKXlxfOnz8Pa2trpemMMZw/f54fhu7Tp0+Dz5tWHgWGTRMFhtqJ2kV7UADScLQpCCHC1ddvfYNPV9OvXz9cuHABFhYW8PT0RGxsLDIzM9GtWzfcvXsXMTExWLlyJb788kul23Mch759+6q14oQQQjRLYmKCVu++yweGdFJD/aHZLkhDEXSM4cCBA9G+fXskJCTg77//RkJCAjp27Ihhw4YhPj4ebdq0weHDh/n1xWIx3nvvPf6xspuEDgYnhBBCCNEqgqKzDRs24OWXX+YvY2dkZISOHTtiw4YNWLp0KQICArBmzRp+fcYYP5N4rWYoF+irr77ip85p3749tm7diry8PIwfPx5xcXFwc3PD7t27Yaljp4oT0ljRZPDah9qEEFKe4G67Xbt2oUOHDmjXrh3u3LmDXbt28SeP5OXlQV9fn1/39OnTcHJy4h9rQnJyMr755hvcvn0bRkZGCAwMxC+//ILbt29j8ODBCA0NRVhYGMLCwrBq1SqN1IEQUjM0PKZ9qE0IIeUJCgzHjx+Pb7/9Fu+//z6/jDGGGTNmQCaT4bfffkOrVq34tPLzG5YNNfv4+PDL0tLSkK5ipnAhpFIp8vPzoaenh7y8PLRo0QIrV65EZGQkACAoKAi+vr4UGBJCCCGECCDoGMMvv/wS77zzDgwNDcEYg5GREUJCQrB69WoUFBRg48aN2LZtm9Jt33zzTfxcYRLUlStXon379nWquKOjI95//324uLjAwcEBzZo1w9ChQ5GamgoHBwcAgIODA9LS0upUDiGEEEJIUyGox1BfXx/r1q3D119/jfT0dNja2iqkCbkCSnlJyi7MXkOZmZk4ePAgHj58CAsLC7z22mvYsWOH4O3Dw8MRHh7O16esl1HT6qscIhy1iXaidtE+1CbaidpF++hymwg+xlAulyM2Nhapqam4c+cOv7x///5K1xeXzgDOcRzWrVuHdevWKaSXDy5r4+TJk3B3d+fzGTt2LC5cuAB7e3ukpKTAwcEBKSkpsLOzU7p9cHAwgoODAZTMB+Tr61un+qhWcnC35sshQv1eek9tom3os6J9qE3qW/S6dbj3zTcq1io5KSh7+nSV+b00bx68Q0LUULOmq6m0iaDA8NatWwgICMCDBw8UlnMcB6lUqnSbsrOROY5TembyW2+9VdO6KnBxccHFixeRl5cHIyMjnDp1Cj4+PjAxMUFERARCQ0MRERGBMWPG1KkcopuEfYBLlE2oXB1t/QDrmpp8sVK7kKbMOyRE9b5delIQTQZfP5pKmwgKDBcuXIj7NXyRp0+fBmMMgwYNwrhx4/hAUCKRwNXVlT9rubZ69OiBcePGoUuXLpBIJOjcuTOCg4ORk5ODwMBAbN68GS4uLtizZ0+dyiG6aWdmRyx7MEVt+S3J7Iilasut6WoqX6y6hIJ1Qkh5gi6JZ2VlBVdXV3To0AE7duzAhQsXMHHiRCxfvhwTJ06sdtuIiAi0adMG3bp1U1ul1Y0uidc0UZtoJ2oX7UNtop2oXbRPk7kkXk5ODvr06cNPcN21a1cMGTIEYWFhKgPDoKAg3Lt3D+Hh4UhNTVUYVv7000/rUHVCCCGEEKJOggJDc3NzFBYWwsXFBQDw8ccf488//8SjR49Ubvvrr79i0qRJKCoqqpTWWALD6oZi8uUS/PqsLYCOAIBm4o/wsnk0Aiz+g5FI+fGZNBRDCCGEkIYgKDD09PREbGwspkyZAsYYf/m7Ll26qNx25cqVKCwshJGREfLz89GsWTPk5eXB0dGxbjXXIlUdN5WTU4SePTchOikdQElPaZbcEHtzOuGm4xBcvDgDpqb6lbYjhBBCCGkIgia4XrNmDebOnYt+/fohJCQEzZo1Q+vWrfHDDz+o3Pb27dsYPnw4goODwXEcHj9+jPbt2+Ojjz6qc+W13erV5xEdnQ6pVPEwTqmU4e7ddHz44UkkJDxHenoe8vKKNXpdaUK0XU5OEZYseXEJTVvb1Viy5DRyciqPNhDSlNFnRfs0pjYRdPLJ2bNn4eTkBA8PD35ZcXExiouLYWxsXO22hoaGCA4OhomJCb744gs8e/YMISEhOHnyJBISEur+CtRAUwdx2tquRnp6Xo22MTbWq/ZmYlJ9upD1xGJB/wcaPTpwW3vwvesV/khJJBy8vW2od72B5OQUYfXq8/jss7MAABsbY8yd64OFC/tQezQQ+qxon4ZokwY/+WTgwIEICQnB2rVr+WUffPAB1q9fX+U8hmWsrKzw/PlztGzZEowxjBw5Ejdv3lS5XWPw9GnNgkIAyMsrRl5esQZq84K+vlitgabievowNtaDnp4IHMdp9HXUVtmPXRlb29X0YyeAXM5QVCRDcbEMRUWy0sfyco9rv/zkyYe4ffsJKv5NlUoZbt9+guHDd2DgQDeIxSKIxRzEYhEkkhePy9+XLK+cVpP165KHtu73NVX+x65MenoeVqz4C/v23aEARAnGGBgDZDI55HIGuZxBJmPlHle/XMi64eFXcfduOmQy5SNRs2cfwpQpHfm6lK9X+cdlfUKqHtc2j/reriHLPns2ocrvr+jodKxefR7Llg2stL9oK0E9hiKRCO+++65CYDht2jRERERAJpNVu+3gwYPx9OlT7NmzB61ateLf0NGjR+PgwYN1rL56NFSPobm5Pr76ajjy8oqRm1vEB4UlN2mF58rWKUZxsVzt9VYHsZgTFEAaG0sErlf5ZmgogUhUsx9hbfm3LZPJ1R5cCVsur3V+FX+IiHIcB40FnarWl0gqb1/bvH/77S5+//0e5Eq+YkQiYPRob7zySiulAUxtAyPhy+urHOEBm0wmrxQYEAIAtrbGSEtbqNY8NdljWG1gWDZ0HBcXB3Nzc1hZWQEouTxeUlISLCwskJ6eXtXmAIBnz54hLy8PLVq0wIEDB7B9+3a0aNECy5Ytg7W1tRpfSu1p6g1esuQ0Vqz4q9IxhkBJIPLxx/3q/C+iuFiG/HypygBS2S03V9g6BQXa27trZCRRGUCWDz4vXkzGmTNxSr/AOQ7w82uJwYPdBQVXVa0jJOiiH5Ca4zjQ+0YIaRAcB340oOJjVR00IhEHmUy9s7A0WGAoEpUci1bVZe1mzZqFDRs2VJl5cXExZs2ahfbt22P+/PlqqK5maOoN1pbeqbqSyxny8+seZFa3Xm5uEf3oq4lEIoK+vhj6+mLo6YlK78WVllW/XMg6tVtecZmengjNm6+ptne97B83YyW9NDKZHDIZg1Qq5x+Xvy9Zziql1WR9deRR1fqaz7vqPLSFSMRBLOYgEnGlj0XlHgtfro48ql6OeipH+GsbP34vsrIKq3xfLSwMcejQRHAcV20wU5Ze8rz6x7XNQxPbNUTZqqgaHdS1HsNqjzHcunUrGGOYNm0ahg4dyk9mXXZZu759+1abuZ6eHvbt2wcDAwP11ViHmJrq4+LFGQoHb9vaGmPOHN06nk0k4mBiog8TE83Vl7GS49dq1ptZvme08tC7svVqOvSunmBIpPbgqrqgSxePcZs716fa3vU5c3wAlHxRSyQlQ6CkdsqGPVUFnZ06/YDMzIIq87GyMsLVq8G1Cth0cR/VFu++26Paz8q8ed3Rp49LA9Ss6RL6/aUrBB1juGzZMvTs2RPDhg2rcQFvvvkmrl27hmvXrkEiEXSuS72jS+I1Hba2XyA9Pb/KdBsbI8THz4eeXslxVvQDVj8aS+96Y1Ifh8KQmqPPivZpbGclC/rbvWTJErRq1Qq//vortm/frnBTJS8vD7dv34anpycmTZqEadOmYdq0aZg+fXqdK09ITc2d2w0SifJgTyLhMHdut9KzqsUUFNajst71jz/uxy+ztTXGxx/3ox+6BrJwYR94e9tU+ryU/dgtXNingWrWtNFnRfs0tjYR1GO4adMmzJ07t9IZyBzHqZx2puw4xfLbMMbAcZzKM5rrC/UYNh30b1v70WdFe1Scx1AXD4VpzOizon3qq00afB7DZcuWQSqVwtzcHBYWFjXqSZkyZQr1vBCt0ViO+ySkPpia6mPZsoH8Z0XdB9ATQrSPoMCwoKAAfn5+OHr0aI2DvG3bttWmXoRoDP3YEUIIIcoJOsZw0KBBpadya0/PX3R0NDp16sTfzM3N8fXXXyMjIwN+fn7w8vKCn58fMjMzG7qqhBBCCCE6QVCPoY2NDfbu3YuhQ4eiR48e0NPT49M+/VS9kzYK5e3tjaioKACATCaDo6MjAgICEBYWhsGDByM0NBRhYWEICwvDqlWrGqSOhBBCCCG6RFBguGHDBnAch5MnT+LUqVMKaQ0VGJZ36tQptGzZEq6urjh48CAiIyMBAEFBQfD19aXAkBBCCCFEAEGBYf/+/bVqGLmiX375hZ98OzU1FQ4ODgAABwcHpKWlNWTVCCGEEEJ0hqDAsKwHThsVFRXht99+w8qVK2u0XXh4OMLDwwEASUlJ9fYatfm9bEy2bYtDRES8oHXLpheoTlCQK958062OtSI1QZ8V7UNtop2oXbSPLreJ4EuR5ObmYt++fUhKSsJ7772H1NRU2NjYwNjYWOn6n332GdatW4czZ86gXbt2/PK7d++iT58+mD9/PhYvXlznF3DkyBF06dIF9vb2AAB7e3ukpKTAwcEBKSkpsLOzU7pdcHAwgoODAZTMB+Tr61vnulTvDADUQzkEAHx9ASEnxEdGRlKbaB36rGgfahPtRO2ifXS/TQSdlZycnIy2bdti6tSp+OSTT5CRkYGWLVti2bKqe1r27dsHT09PhaAQAFq1aoXWrVtj7969dat5qZ07d/LDyADg7++PiIgIAEBERATGjBmjlnIIIYQQQho7QT2GH330ERISEmBoaIjCwkI4ODigd+/eOHbsWJUndjx8+BCBgYFK09q0aYNdu3bVvtal8vLycOLECfzf//0fvyw0NBSBgYHYvHkzXFxcsGfPnjqXQwhRj6VLI7Fs2RlB6woZ4l+yZACWLvWtY60IIYSUERQYnj59Gv369UOXLl3wzTffAABeeumlaoMumUyG58+fK03LyMhQeSk9IYyNjfH06VOFZdbW1pXOnCaEaIelS30FBXI0xE8IIQ1D0FDy8+fP4e7urrAsNze32jOV3d3dcfToUTx48EBheWxsLI4ePVopP0IIIYQQ0rAE9Rh6eXnhxIkT6NatGwDg559/xsGDB9GmTZsqt/H390dYWBh8fHwwc+ZMeHh44MGDB9i4cSPy8/Ph7++vnldACCGk1mh4nxBSHscYY6pW2rx5M2bOnFmphzA8PBzTp09Xus2zZ8/QqVMnJCQkKGzHGIOLiwuuX78OS0vLOlZfPXx8fHDlyhWNllH2hcrYEo2WQ2qGhiy1E7WL9qE2qV81CdiFoIC9ftTXb70m4xZBPYbTpk1DTEwMvv32W+Tl5cHIyAhvvfVWlUEhAFhYWODcuXN455138Mcff6C4uBh6enp4+eWXsW7dOq0JCtWB/nETQghRJzoeV/s0ld96QT2GZYqLi/HkyRPY2toqXC9ZlcLCQmRkZMDKygoGBga1qqgm1UePIUAfYG1EbaKdqF20D7WJdqJ20T710SaajFsEnXyye/duLF++HCKRCC1atADHcVi+fDl2794tqBADAwM4ODhoZVBICCGEEEJKCAoMP/roI5w9exZisRgAIJFIcOHCBXz00UdVbiMWiyvdzMzM0KVLF2zfvl09tSeEEEIIIWojKDB89OhRpellnJ2d8ejRoyq3YYxVuuXm5iIqKgpTp07FDz/8ULeaE0IIIYQQtRJ08omtrS3OnDnDn0BSXFyMs2fPwtbWtsptfvzxx0rLCgsLERkZiR07diA8PByzZ8+ufc0JIYQQQohaCQoMu3XrhgMHDqBNmzbo2rUrrl69igcPHmDs2LFVbjN58mSly6dNm4YbN27g7t27tasxIYQQQgjRCEGB4dKlS3HkyBHcv38fDx48AGMMRkZGWLp0aa0KNTQ0RA1OhiaEEEIIIfVAUGDYvn17XLx4EevXr0d8fDxcXV3xzjvvoG3btlVuc/bs2UrLCgsL8ddff+Gff/5Bq1atal9rQgghhBCidioDw+LiYsyaNQvt27fHxo0bBWfs6+tb7bWUX3/9dcF5EUIIIYQQzVMZGOrp6WHfvn21moNQ2XBxs2bNMG/ePHzwwQc1zo8QQgghhGiOoKHkgIAAnD9/HlKpFBKJoE3w8OHDSsuMjY2rPZOZEEIIIYQ0HEFRXl5eHm7fvg1PT0/07t0bhoaGAACO47B582al27i6uipdnp2djZ9//hmbNm3CP//8U8tql3j27BlmzJiBW7dugeM4bNmyBd7e3hg/fjzi4uLg5uaG3bt3N6rrMhNCCCGEaIqgwHDv3r0AgISEBCQkJIDjODDGqg0MKzp//jw2bdqEPXv2ID8/v/Y1LickJATDhw/H3r17UVRUhLy8PKxYsQKDBw9GaGgowsLCEBYWhlWrVqmlPEIIIYSQxkxQYDhlypRqTySpSnp6OiIiIrB582ZER0cDKDnuUCQSYcyYMTXOr7ysrCycPXsW27ZtAwDo6+tDX18fBw8eRGRkJAAgKCgIvr6+FBgSQgghhAggKDAsC75q4rXXXsPvv/+O4uJi/iSUVq1a4e7du/D398e+fftqnGd5Dx48gK2tLaZOnYobN26ga9euWLduHVJTU+Hg4AAAcHBwQFpaWp3KIYQQQghpKoSdSQIgMTERW7duRVJSElavXo0bN27A29sb9vb2Stfft28fOI6Dm5sbxo8fj/Hjx6Njx44QiQRdnlklqVSKa9euYf369ejRowdCQkIQFhYmePvw8HCEh4cDAJKSkvheRk3Kycmpl3KIcNQm2onaRftQm2gnahfto+ttIigwjI6ORq9evfD8+XMAwKpVqzBs2DDMmDED69evr3bbnJwcPH/+HNnZ2XWvbTlOTk5wcnJCjx49AADjxo1DWFgY7O3tkZKSAgcHB6SkpMDOzk7p9sHBwQgODgYA+Pj4wNfXV631UyYyMrJeyiHCUZtoJ2oX7UNtop2oXbSPrreJoO67Dz/8EM+ePeOnmrG0tETfvn1x6tSpKrcJCgqCsbExnjx5gh9++AEDBgyAs7MzOI6DVCqtc8WbN28OZ2dn/tjFU6dOoU2bNvD390dERAQAICIios7HMhJCCCGENBWCAsOLFy9i+PDhmDhxIr+sZcuWSExMrHKbrVu3IiUlBRs2bECXLl3AGENycjIA4PDhwxgyZEgdqw6sX78ekydPRocOHRAVFYWPP/4YoaGhOHHiBLy8vHDixAmEhobWuRxCCCGEkKZA0FByUVFRpbkA09LSVF4NxdTUFLNmzcKsWbNw8+ZNhIeH4+eff0ZmZiZOnz5d+1qX6tSpE65cuVJpeXU9mYQQQgghRDlBPYatW7fG0aNHcePGDQDAihUrcOjQIbRu3VpwQe3bt8f69evx6NEj/Pjjjzo9/k4IIYQQ0hgJCgwXLlyIzMxMnDlzBgDwySefQCaTYcGCBVVuk5mZiX///Zc/YaVMYWEh2rdvz0+aTQghhBBCtIOgwPCVV17B999/Dw8PD4jFYri7u2P9+vUICAiocpvQ0FB0794dubm5Csvz8/PRo0cPfPTRR3WrOSGEEEIIUSvB8xjOnj0bs2fPFpzxqVOn0L9/f7Ro0UJhub29PQYNGoSTJ08KryUhhBBCCNG4ansMCwoKMGPGDNjY2KBNmzb47bffBGf86NEjeHh4KE1zdnbGo0ePalZTQgghhBCiUdX2GK5YsQJbtmwBAGRkZCAwMBAPHz7kLzlXHX19fdy/f19p2v3796Gvr1+L6hJCCCGEEE2ptsdw165d0NfXx1tvvYU+ffqguLgYBw4cEJRx27Zt8eeff2L//v0Ky/fu3ctPRk0IIYQQQrRHtT2GCQkJGDduHNavX48nT57A3t4eSUlJgjJ+44038Pfff+O1116Dj48PPDw88ODBA1y5cgUcx+GNN95QywsghBBCCCHqUW1gWFhYyF9ruOxyePn5+YIyDg4OxoEDB3D8+HH8888/uHLlChhjAAA/Pz/MmjWrLvUmhBBCCCFqpvKs5OPHj2PatGlKn3Mch82bNyvdTiQS4dChQ/juu++wf/9+PH78GM2bN8fYsWMxd+5ciESCZsohhBBCCCH1RGVgeOfOHdy5c6fSc8ZYtYEhAEgkEoSEhCAkJEQ9tSWEEEIIIRpTbWDYv39/cBxXq4z37t2Ln3/+Gf/73/8UTjSJjo7GRx99hEmTJmHcuHG1ypsQQgghhKhftYFhZGRkrTNev349kpOTK5197O3tjTt37mD9+vUUGBJCCCGEaBGNHeh3+/Zt9OzZU2la9+7dcfv2bU0VTQghhBBCakFjgWF2djbEYrHSNMYYsrOzNVU0IYQQQgipBY0Fhs2bN8eff/6J3NxcheU5OTn4888/0bx5c00VTQghhBBCakFjgeHAgQORnJyMoUOH4siRI4iOjsaRI0cwdOhQpKSkYODAgXUuw83NDe3bt0enTp3g4+MDoOTSfX5+fvDy8oKfnx8yMzPrXA4hhBBCSFOgscAwNDQUhoaGuHjxIkaNGoU2bdpg1KhRuHjxIgwMDPDBBx+opZzTp08jKioKV65cAQCEhYVh8ODBiImJweDBgxEWFqaWcgghhBBCGjuNBYbe3t44cOAA7OzswBjjb/b29ti/fz9at26tkXIPHjyIoKAgAEBQUJDgazsTQgghhDR1Kie4rouhQ4ciLi4OFy5c4K980rt3bxgYGKglf47jMHToUHAch1mzZiE4OBipqalwcHAAADg4OCAtLU1lPuzpE0i3fa+Yd9uOEHfrA1ZcBNlPmyptI+rkA1Gn7mB5OZDt3l453acXRO06gz3PhOzXnQCAds+eQRpXcja2qNcAiLzbgqWnQXZob+Xt+w+ByOMlsMfJkB09WDl98AiInN0hT3wI+akjldLFw8eAa+4I+YN7kJ89WTl91DhwNnaQR/8H+d9nKqcHTATXzBLyW9chv/J35fTAKeCMTSGPugx51JXK6ZNngNPTh+yf82D/3aiULnlzLgBAduE02L07iol6epBMnlmSfuYE2MMYxXRjY0gC3yxJP3kYLCleMd28GSRjJ5ekHz0A9viRYrq1LSSjXwMAtLx3g2+TMlzzFhAPfwUAIN3/E5D1XDHdyRXiISNL0ndvA/LyFNPdvSAe4FeS/tNGoLhYMf2l1hD3LjmUouJ+B2hm31NI14F9D0Cj3/ekv+8Bnj5RSNbmfa/ds2eQWxg3+n1P1773+N+VRrzvAbr1vdcu6kKl3xVN73vqpNHAEAAMDAzUcjyhMufPn0eLFi2QlpYGPz8/tGrVSvC24eHhCA8PB1ByTehnz54ppKffi8Hj3GKIZFK0qZAGAGl3o5H2LA+S4kK0UpL++PZtpKc/h35BPl4qTZfJZHw5yTdvIjPlCYzyctBSyfaJN27gecIjmOQ8h7uS9Phr15F9Px5mzzPgqiT94ZUryDWNQbPMJ3BWkn7/8mXkG5vCMv0xHJWk3/v7IooMjWCTlozmStLvnj8PqZ4B7B4nwk5J+u2zZyEXS9A8OQ42StJvlc6R2SLxAawqpMtFItwuTXeKfwiLCunFubmILk13TUiAWZZiemF+AWJK092TkmCSk6WQnl9UjPul6S7FxXiWp3iCVK5Ujoel6V6pqTAoLFBIz5ZziC9N937yBHoVvgCfxT1EEitJb/P0KURyuUJ6xv0HeFRUMnF8OyXvjSb2vfJ0Yd/Lkcpwu5Hvey1THsFIh/Y9mUyGu01g39O1772y35XGvO8BuvW916Lcb30ZTe976sQxxphGS6gnS5cuhampKTZu3IjIyEg4ODggJSUFvr6+iI6OrnZbHx8f/hhFTYqMjISvr6/GyyHCUZtoJ2oX7UNtop2oXbRPfbSJJuMWjR1jqGm5ubn8XIi5ubk4fvw42rVrB39/f0RERAAAIiIiMGbMmIasJiGEEEKIztD4ULKmpKamIiAgAAAglUoxadIkDB8+HN26dUNgYCA2b94MFxcX7Nmzp4FrSgghhBCiG3Q2MPTw8MCNG5UP7rW2tsapU6caoEaEEEIIIbqt0RxjWBc2NjZwc3Nr6GoQQgghhKgUFxeH9PR0jeRNgSEhhBBCCAGgwyefEEIIIYQQ9aLAkBBCCCGEAKDAkBBCCCGElKLAkBBCCCGEAKDAkBBCCCGElKLAkBBCCCGEAKDAkBBCCCGElKLAkBBCCCGEAKDAkBBCCCGElKLAkBBCCCGEAKDAkBBCCCGElJI0dAW0gY2NDdzc3DReTm5uLkxMTDReDhGO2kQ7UbtoH2oT7UTton3qo03i4uKQnp6ukbwpMATg5uaGK1euaLycyMhI+Pr6arwcIhy1iXaidtE+1CbaidpF+9RHm/j4+Ggsb60fSp42bRrs7OzQrl07fllGRgb8/Pzg5eUFPz8/ZGZm8mkrV66Ep6cnvL29cezYsYaoMiGEEEKITtL6wPDNN9/E0aNHFZaFhYVh8ODBiImJweDBgxEWFgYAuH37Nn755Rf8999/OHr0KObOnQuZTNYQ1SaEEEII0TlaHxj2798fVlZWCssOHjyIoKAgAEBQUBAOHDjAL58wYQIMDAzg7u4OT09PXL58ub6rTAghhBCik7Q+MFQmNTUVDg4OAAAHBwekpaUBAJKTk+Hs7Myv5+TkhOTk5AapIyGEEEKIrmlUJ58wxiot4zhO6brh4eEIDw8HACQlJSEyMrLW5W4KPYafLhkKXPuMyjUm9yjAjLBhta4PoTbRVtQu2ofaRDsVHjyIot9+E7Tu7wLW0ff3h8GYMXWrVBPXVNqEY8qiKS0TFxeHUaNG4datWwAAb29vREZGwsHBASkpKfD19UV0dDRWrlwJAPjoo48AAMOGDcPSpUvRq1evavP38fHR+FnJHLcMAMDYEo2WQ4SjNtFO1C7ah9pEO/3esiUAYPT9+w1cE1KmvtpEk3GLTg4l+/v7IyIiAgAQERGBMaURt7+/P3755RcUFhbi4cOHiImJQffu3RuyqoQQQgghOkPrh5InTpyIyMhIpKenw8nJCcuWLUNoaCgCAwOxefNmuLi4YM+ePQCAtm3bIjAwEG3atIFEIsF3330HsVjcwK+AEEIIIUQ3aH1guHPnTqXLT506pXT5okWLsGjRIk1WiRBCCNGopUsjsWyZqmM6p5TclQ71V2fJkgFYutS3zvUijZ/WB4aEEEJIU7N0qa/KQI6O/SSaQIEhIYQQQogKTaUXt94Cw2vXrmHfvn0oKCjA5MmT0aVLl/oqmhBCCCGkTppKL26VZyV/8MEHOHToEABg+/btNT4t2s7ODkuWlLwxJ0+eRO/evREWFoavv/4avXv3xj///FOHahNCCCGEEHWrMjD88ssv8eeffwIouV5xVSeBVCU9PR3Z2dkAgM8//xxFRUUwNDSEoaEhioqKsGLFijpUmxBCCCGEqFuVQ8nGxsY4fvw4tm3bBgD477//sH379krrTZkyRWUhN2/ehLu7O65duwa5XI6uXbtSjyEhhBBCiJapMjD08fHB2bNnMX36dHAchxMnTuDEiRMK63AcV21gWHY5OplMBj8/PzRr1gwA4OfnpzTIJIQQQgghDafKwHDTpk1YsGAB7ty5gwcPHsDU1BRWVlY1ynzz5s349ddfUVBQgJycHH55ZmYmrK2ta19rQgghhBCidlUGhp6envit9GLRIpEI06dPx9q1a2uUeVZWFrKysgAAf//9NwCguLgYZ8+eRY8ePWpbZ0IIIYQQogGCpquRy+UAgEePHiEhIQHOzs5wdHSsdpuHDx8qXf7o0SPMmTMHgwcPrmFVCSGEEEKIJgkKDKVSKYKCgvDLL7/wy8aPH4+IiAjo6ekp3cbV1bXK5WXT2BBCCCGEEO1R5XQ15X399dfYuXMnGGP8bdeuXfjqq6+q3S4hIQELFixAz5494e3tjZ49e2LBggWIi4tTR90JIYQQQogaCQoMIyIi0KxZM+zevRt37tzB7t27YW5ujh9//LHKbaKiotCxY0esW7cOly9fRkxMDC5fvox169ahU6dOuH79utpeBCGEEEIIqTtBQ8kPHz7ExIkTMW7cOACAt7c3jh49qjC0XNGHH36I58+fo2fPnujduzfMzMyQnZ2NCxcu4OLFiwgNDcWxY8fU8yoIIYQQQkidCQoMra2tce3aNRQXF0NPTw/FxcWIioqqdsqZCxcuYPjw4fjjjz8qpY0YMQLnzp2rfa0JIYQQQojaCRpK7tu3L6KiouDk5IQ+ffrA2dkZ169fR9++fTVdv2qtW7cO7dq1Q9u2bfH1118DADIyMuDn5wcvLy/4+fkhMzOzQetICCGEEKIrBPUYLl++HEePHsWTJ0/w5MkTAIClpSU+//zzKrfp2bMnjh07ht69e6Nnz578UPLFixdx6dIlDBo0qE4Vv3XrFjZu3IjLly9DX18fw4cPx8iRI7Fx40YMHjwYoaGhCAsLQ1hYGFatWlWnsgghhBBCmgJBgaGbmxtu3ryJLVu2ICEhAS4uLpg6dWq1cxmuWrUKvr6+fCBYhjEGU1NThIWF1anid+7cQc+ePWFsbAwAGDBgAH799VccPHgQkZGRAICgoCD4+vpSYEgIIYQQIoCgwBAAWrRogcWLFwvOuEuXLoiNjcXq1atx9epVpKSkwMHBAV27dsX7778Pe3v7WlW4TLt27bBo0SI8ffoURkZG+OOPP+Dj44PU1FQ4ODgAABwcHJCWllancgghhBBCmgrBgWFt2NnZYfXq1RrJu3Xr1vjwww/h5+cHU1NTdOzYERKJ8JcTHh6O8PBwAEBSUhLfy6hp9VUOEY7aRDtRu2gfahPtRO2ifXS5TTjGGKvPAmUyGZKTkwEALi4uasv3448/hpOTE9atW4fIyEg4ODggJSUFvr6+iI6OrnZbHx8fXLlyRW11UYbjlgEAGKOrvmgLahPtRO2ifahNtBO1i/aprzbRZNwi6KxkdYqNjYWbmxs8PDzqnFfZMHFCQgL279+PiRMnwt/fHxEREQBKJuYeM2ZMncshhBBCCGkKNDqUXB11dFS++uqrePr0KfT09PDdd9/B0tISoaGhCAwMxObNm+Hi4oI9e/aoobaEEEIIIY2f4MDw6tWr+O6775CUlIQdO3bg6NGj6NWrF7y8vGpUYMuWLfHw4cMaV1SZv/76q9Iya2trnDp1Si35E0IIIYQ0JYICw0uXLmHAgAEoKioCx3EwNTXF22+/jcDAQGzatKlmBUokcHV1rVVlCSGEEEKI5gg6xnDx4sVgjMHT0xMAYGxsjH79+uHMmTPVbpeQkIAFCxagZ8+e8Pb2Rs+ePbFgwQLExcXVueKEEEIIIUS9BPUYXrt2DaNHj4azszO++eYbACVnFFd3OnZUVBQGDhyIrKwsheMJ//nnH2zZsgWRkZHo1KlTnSpPSG1Ic3MRu3Ej//yYjw9cX38dnjNnQmJi0oA1I4QQQhqWoMBQLBZXWvbw4UOYmZlVuc2HH36I58+fo2fPnujduzd/SbwLFy7g4sWL+PDDD3Hs2LHa15yQWpDm5uLcq68i+8EDbHI2hI0kF0WZQMz33+Px0aPou28fBYeEEEKaLEGBYfv27XHkyBG0bt0aABAcHIzjx49jyJAhVW5z4cIFDB8+HH/88UeltBEjRuDcuXO1rDIhtRe7cSOyHzwAZDLY6eW+SJDJkH3/Pv799FO4TZwIkaEhxAYGEBkYlNyXPdfXByeq91meCCGEkHohKDBcsmQJBg4ciOvXrwMANm3aBI7jsGjRIo1WjpDaYIyh6OlT5MbFITchAXkJCchNSEBufDye3bgBVDVVklyO5AMHkHzgQLX5i/T1XwSMBgYQGxq+eK6vr/i8XHpZWtlyVdvy25XLi+M49b9hWoKG+AkhpOEJCgz79++PQ4cOYc2aNUhISICLiwvmz5+PAQMGVLlNz549cezYMfTu3Rs9e/bkh5IvXryIS5cuYdCgQWp7EaTpkUulKEhJ4QO+vPh4hSBQlpenubKLiiAvKoI0O1tjZVRFISit2KtZVbBaTTofhFYIVisFr/r6Gg1KaYifEEK0g+B5DEeMGIERI0YIznjVqlXw9fXlA8EyjDGYmpoiLCysZjUlTY6soAB5iYnILR/0lQaBecnJYFKp4LwMmzeHiasrMq9fh7yoqMr1JObm8Fm/HrKCAsgLCyErLOQfy4uKICsshLygoOS+XJqsqEjxefn0ctsxmaxO70lDB6WVejENDSGubbBaGnCKDQyQdPBg1UP8Dx4gduNGtHr33Xp/zYQQ0tQICgw/++wz5RtLJPDw8EBAQAAMDAwU0rp06YLY2FisXr0aV69eRUpKChwcHNC1a1e8//77sLe3r3vtic4rev5csbev3OOCx48F58Pp6cHYyQkmLi4wdnGBiasrTFxdYeziAmNnZ4hL98+7X3+NmO+/B5QFaGIx3IOCYNu3r7peXiVyqfRF4FgWYBYVKQ8oyz8vvS9LU3iuZDtlyyGX163upUFpvZPJELN+PR5s2cIPufM9p6X3ZQGmwuPyAWvZehW2qZheKa38cw33mmojGt4npOnhmIBr04lEomq/EL28vHD+/HlYW1urtXL1RZMXoy7TVC92zhhDYVpalUO+xc+eCc5LbGKiGPiVe2zk4ABOydnzFZUfskwrKBmyFHEAxGKYeXg06iFLuVSq2NtZ8b58MFpQ8KIXtGIvacV0Fb2ksoKCqo/r1DFKg8nygaeyALVcYKl03RrmKZLUz5VMm/JnRVc01d8VbVZfbaLJuEXQN0y/fv1w4cIFWFhYwNPTE7GxscjMzES3bt1w9+5dxMTEYOXKlfjyyy81Ukmi3eTFxchPTq50okdefDxyExMhLygQnJe+tXVJwFch8DNxcYG+tXWde2wkJibou28fYjduhP/85wCAoz6H4Dp5cqPvBRFJJBCZmkJialqv5TLGwMp6SssFlOV7P/8JDoY0J6fKPESGhnCbNInvYVUY2i//uHwwW249dfV0NuRQfhlOLFYaWPI9nOV7VGsRwJatl/jrr9UP74eHo9X8+Q32PhBCNENQYDhw4EBkZ2fj/PnzMDIyQn5+Pvr27Ythw4bh2LFj6NOnDw4fPkyBYSMmzcsrOd4vLu5F8FcaCOYnJws/dk4kgpGDg2LwV3pv4uJSL0GLxMSk5Hi1+SX/7Ib984/Gy2zKOI4Dp6cHkZ5ele3rPnVqtUP8LWfOrNMxhkwuh7y4+EXgWC44rUmAKXi9KrapyXGxVb4WmQyyvDzI8vJQXOfcakkmQ8y33+J+ePiLQFRfHyI9Pf6eK/e4qnX4+yrW4fT0IC69r5SXsnwMDF5s24inlaIhfqJJggLDDRs24OWXX4aRkREAwMjICB07dsSGDRuwdOlSBAQEYM2aNRqtKNEsxhiKMjP5oK9syDc3Ph55CQkofPJEcF4iff2Snr6yHr+y4M/VFcaOjhDp62vwlRBd5DlzJh4fPVrlsKXnzJl1yp8Tifizr1HNxPyaxmQy5UGp0EBU2TalvZiq1isfEKtraL/BjjsVgBOLlQep5YLHOgWpVW1fRTkVt6/t6Aedwa+dGlOwLvhglV27dqFDhw5o164d7ty5g127dvFXPsnLy4M+/dhrPSaXo+DxY4WAr3wQWJPhMYmZmULAVz4INGzeXKv/refkFGH16vP8c1vb1Zg71wcLF/aBqSntxw2hqQzxc2IxJEZGQOmf7IagMLRfTSD6z5w51Q7viw0N4R4UBFlREVhZb2xR0Yue2aruq1ivridHVXqdMhlk+fmQ5eerNV91qdQLWtV9hWXZMTHIjokBgMpD/LGxuDxrFuz69wcnFpcExxIJIBJBJJGULJNIwIlEJfel65StV/55+XSRsu3KPReJxUCF9ZqSxhasCzr5ZN68efj2228V/uEwxvDOO+9g7dq1aN26NaytrfH3339rtLIVffXVV/xk2+3bt8fWrVuRl5eH8ePHIy4uDm5ubti9ezcsLS2rzacxnXwiLypCXlKSYuBXFggmJtbo372BnZ3SXj8TFxfoWVjo5BmaOTlF6NlzE6Kj0yGVvtj1JRIO3t42uHhxBgWHDYwOqNcOqs7g95o7V61TCDGZTGXwWF06Ky6uHKQKzaNCmrK8SA1wnGKAWS6AVBVgVgpOKwSxogpBq6Ayyq0nqiL4LZ9PTYPoh9u34+GPP9bbZwXQbNwiKDAsKirCwoULsWnTJuTn58PY2BgzZ87EqlWrUFxcjCtXrqB58+bw9vZW2O7ixYsIDw/HihUr0Lx5cwCAXC7HnDlzMGLECLzyyiu1rnhycjL69u2L27dvw8jICIGBgXj55Zdx+/ZtWFlZITQ0FGFhYcjMzMSqVauqzUvXAkNpTs6LY/zi4xWCwPyUFMH/vDmxGEaOjnzgVza9i4mrK4ydnSExNq5zXRuSVCpHZmY+MjJe3DZuvIbffotWOpLGccDo0S/hzTc7wdzcAM2aGaJZMwP+saFh/ZwN2tRRYKgd6KzkFxhjJUFidUFmFWms9JhTVn65wF5UZXnlxsc39NtBakjfykrtx7I3eGBYhjGG9PR02NraClo/LS0Njo6OWLt2Ld555x0AwOnTpzFkyBD89ddf6N27d+1qjZLAsGfPnrhx4wbMzc3xyiuvYN68eXjnnXcQGRkJBwcHpKSkwNfXF9HR0dXmpck3uOy4g9Zlw2Ndf1d53AF/SbcKU7uUBYFFGRmCyxcZGlY9xUuLFhDp6anldWpSxQDv6dPyj/NKHxdUeJ6P588L1VoPfX1xaZBYEigqPtavFEiWf1y2rpmZAUQi3etprU8UGGqPSt9fjXB4X9cc8/FBUWZmlen6lpYYfPYsmExWcpNKS3pjZTJAJoO89HnF9LJ1WMX0cuvJlSwr/1wulQJyebVlsKrqIJe/KKPcc2V1QPm6KluvXF20AsdhdGysWrNs8OlqgJKevtjYWKSmpuLOnTv88v79+1e5jZ2dHQYNGoTdu3fzgeGePXvg4uJSp6AQABwdHfH+++/DxcUFRkZGGDp0KIYOHYrU1FQ4ODgAABwcHJCWllancuqiuuMOUo4eRddvvkHhkyeVJnbOTUiALDdXdQGl9CwsKgd/pfcGdnZaM+RbPsBTHtyVBHiKz9Uf4NVWUZEM6el5SE+v2+X2zMyqCyKVBZ2VHxsYUO8l0Tw6g1/7uL7+erVD/K6vv67zoz3qwhhTGnzywWkVwWe1gXLFIFYmw80lS6r9zdZXcTibthH063Lr1i0EBATgwYMHCss5joNUxfQLEyZMwMyZM/H48WPY29vj119/RVBQUO1rXCozMxMHDx7Ew4cPYWFhgddeew07duwQvH14eDjCw8MBAElJSYiMjKxznSoqPHAARffvA3J5pYOEc2JicKYGlxjkLC0hsrODyNYWXOm9yM4OIjs7cMbGkAHILr0BAHJzgTt3Sm5qJpMxZGcXIytLiqysYmRnS/H8ecl9xeXl73Nz63Y5OGU4DjAzk8DMTA9mZhI0a6bHPzc3l8DcvOS5uXnJstDQm8jOrnqfNTOTYO3ajsjJkSI3V4q8PJnC49xcKXJzy+7LP5YhL08q6A9qdnYRsrOLkJRU+9etp8fBxERSehMr3BsbS2BqWva45N7UtPJjIyOxVvVe5ufL8MsvifxzC4sVGDOmBSZMcIaRkerJy4nmaeJ7ktQMa9UKInt7yB8/Rlqh0YshfpEIInt7pLRqhcfUTprBcUDZKFu5q72JBw2C7PBh5T2UIhHQp49OfXYEBYYLFy7E/fv3a1XAq6++irlz52Lv3r1o3749UlNTMWnSpFrlVd7Jkyfh7u7OD2uPHTsWFy5cgL29PX/5vZSUFNjZ2SndPjg4GMHBwQBKumR9fX3rXKeKjr3/vvDj/fT0YFx2vF+5y7mZlF3SzdBQ7fWTSuUKPXMVe+rK9+qVf56Vpf4ePI4DLC2NYGVVcrO2Vv645Lkx/7hZMwOIxcLPgEtNNcOKFX8pnHhSRiLhMH9+b8yYMbBWr4ExhtzcYjx/XoCsrEI8f15YzePC0scFlR4XFKie6664mOHZs2I8e1b7mexKguraDY2Xf6yvX/egrfxJQWWePy/Gzz8n4OrVPDopqMGdAQCNfE+SmpP269foz+DXJdJu3XDu7t2qj8ddvlyn2kVQYHjp0iV07NgRHTp0wI4dO3DhwgVMnDgRy5cvV7mtubk5Xn75ZezevRv37t1D69at0aFDhzpX3MXFBRcvXkReXh6MjIxw6tQp+Pj4wMTEBBEREQgNDUVERATGjBlT57Jqq+jZMzBW8gNcEWMAJ+LQMyKiRpd0U6a4WIbMzMrH2FUX3NVHgFc5oFMe3FlZGcHCwrBeeq8WLuyDffvuVHlW8sKFfWqdN8dxMDXVh6mpPhwda1/HoiIZHyjWJMCsmK7q6GHGgKysku0TE7NqXV9DQ0mtj70se/zllxcqtQkASKUM0dHpWL36PJYtq13ATkhjQ0P82qWxTbclKDDMyclBnz59+Amuu3btiiFDhiAsLAwTJ05Uuf3EiRMxfvx43LlzByEhIXWrcakePXpg3Lhx6NKlCyQSCTp37ozg4GDk5OQgMDAQmzdvhouLC/bs2aOW8mpDZmaNZxm5uJlvjx8zuyBdagIbSS7esLyG9kapsLAwhW2fF4FIWYBXk+Du6dM8ZGerfyqFsgCvuuCuYoBnbW2EZs3qJ8CrLVNTfVy8OAOrV5/HZ5+dBQDY2hpjzhztmcdQX18MGxtj2NjU/jghuZwhN7eo2p7Jyo8rB5iFhaqH/wsKpCgokCItTfhxsTUhlTJ88cUFPHtWABMTfRgb68HERA8mJvowMdErfa7PL6uYrqdHw9CEEM1qTMG6oLOSbWxsEBAQAC8vL3z00Ud47733sH//fjx69Ah5eaoPxC8oKICtrS3y8vJw7949tGzZUi2VVxdNnd3z1rAwRJ6JQ2yRLYrYixhcn5PCQ+8pckybw86tOR8I1leAVxLMGVbZe6cLAZ460NmvqhUWSvlAUVWAmZVVpDQ9O1t176Um6emJVAaPNQ02y6fX5FAGXUWfFe1E7aJ96qtNGvysZE9PT8TGxmLKlClgjPGXv+vSpYugQgwNDbFhwwakp6drXVCoSbuvipBe6FBpeRGT4G6RPZDBkJSRIigvkYiDpaWyYM6wyuCu5Bi8xh/gEc0xMJDA1lYCW9vaD4XI5Qw5OUXVDo0vWRKJ/Pyqj60UiTiYmekjN7cYUmnNpqAoLpbzw+6aYGAg1ljgaWys16CfX7pKECFNj6DAcM2aNXj06BH69euHkJAQREREoEWLFvjhhx8EF/T666/XupK66mmG6ksxvfyyFx/gVRXcUYBHdJlIxMHcvORYwqrk5BRVe1LQxx/3448xLCqSIS+vGLm5RcjNLbkvef5iWcX0F8uqXqcsXS6vWfdmYaEMhYUlh4FogpGRRMAQes16OcvSjYwkVU5npeyEoPT0PKxY8Rf27btDJwQR0kgJCgxlMhm6du0KoOQydF999RWKi4tRXFz7MyKbAmtr42rnvLO1Ncbhw3U/Q5sQXVeTk4L09cXQ1xfDwkL9Z+ozxlBYKKthsFm2rOpgs/z6NZWfL622N7UuOA4KvZPlA8nExOeIja08kbJUynD79hNMnrwPEye2h7GxXqWbkZGEf2xoWHXwSQjRPoICw4EDByIkJARr167ll33wwQdYv369ynkMm7K5c32q7QWZM8enAWpFiPbRlpOCOI6DoaEEhoYSWFurP3/GGPLzpTUINssHl6p7R4VMdaRYH/B513S73367h99+uydofWUBo2IgqQdj48ppJcurDzwpACVEvQQFhsrOT3n+/LnS5eQFTU6NQkhjY2qqj2XLBvKBYVrawgaukfpxHMcHMgKvLFojMplcIfBUHWxWPcx+7lyC2uqVl1e73tKaUhYwVg4uJTUOOsuvb2goafDDeujYT6JJ1QaGHh4e/OMtW7bgwIEDAEouj5eUlARLHbvMS33Tll4QQkjTIBaL+Lk068rWdnW1h8JYWRnhr7+mIj+/mA/8yt/y86WCl1fMQ8g0ScqUDbs/far6+O66KB88Kgswqw4uqw86K/aAKgtA6dhP7dSYgvVqA8O4uDgAJf9ys7KykJWlOAnua6+9prGKNRZNoReEENL4qDoU5u23u6FNGw10e+JFz2fNg86yx9Iqg87yedR06L1MfQWghoaVA8n09DwkJVWekL7s2M+BA7ehd29nSCQi/iYWixSelyzjlCyr/XpC1hWLuUY53N/YgvVqA8OtW7eCMYZp06Zh6NCh/GTWEokErq6u6Nu3r6BC1q9fj6+++gpJSUmIiYnBsmXLMGHCBAwdOrTur4AQQojaNeShMOrs+ayOTCZHQYG0xj2aNe0VrW0AWjZ5fIaAGS6AkmM/r1xJwZUrwqZBawhiMafxAFQi4eol0C27bdp0DXfvpkMmaxxXbqo2MAwKCgIAxMfHo2fPnhg2bFiNC9ixYwd/tROO4+Di4oITJ04gIyODAkNCCNFSTeFQGLFYVHoWtmZfi1zOkJ+vnqDz999Vn/DTrJkBZDIGqVTO37SFTMYgk8lQVFS7wwV0jVTKsGHDlcYTGJZZsmQJ4uPj8euvvyI7O1shbcqUKdVuu3btWlhbW6N9+/Y4c+YMOI5Djx49cOnSpdrXmhBCiMbRoTDqIRJxagtAVR37aWtrXKmdGGOQy1mlYFEqlUMmkytZJmy9mqwrbD0meNvallNcXP9BsqYPOVA3QYHhpk2bMHfuXMhkihE+x3EqA8OYmBiMHTsWVlZWOHPmDADAzs4O6enp1W5HCCGEEEW1mQaN47jSIdySeUCbupIgWX0B8cSJ+5CVVfWVlaytjerx1dWdoMBw2bJlkEqlMDc3h4WFRY0OHrWyskJycjKsrKwAlJzR/Pfff6N58+a1qzEhhBDSRNE0aHUnEnEQicTQ01NPkPzuuz0a1ZzFgq7+XlBQAD8/P2RmZiIuLg4PHz7kb6r07dsXp0+fxs6dOwEA7du3x7///ot+/frVreaEEEJIE1N27OfHH7/4DbW1NcbHH/fTubNfG4uFC/vA29sGEolip5muBuuCAsNBgwaB42p3mvny5cthYWGBtLQ0MMZw584dWFhYYOnSpTXOixBCCGnqyo79LJOWthDLlg2koLCBNLZgXdBQso2NDfbu3YuhQ4eiR48e0NPT49M+/fTTard1c3PDrVu3sHnzZiQkJMDFxQVTp06Fo6Nj3WpOCCGEEKIFGtOJWoICww0bNoDjOJw8eRKnTp1SSFMVGAKAg4MDFi9eXLsaViE6Ohrjx4/nnz948ACfffYZpkyZgvHjxyMuLg5ubm7YvXs3XaGFEEIIIUQAQYFh//79az1b+aBBg5Qu5ziuUpBZE97e3oiKigIAyGQyODo6IiAgAGFhYRg8eDBCQ0MRFhaGsLAwrFq1qtblEEIIIYQ0FYICw8jIyFoXUNW26rwszqlTp9CyZUu4urri4MGDfJlBQUHw9fWlwJAQQgghRABBgSEA5ObmYt++fUhKSsJ7772H1NRU2NjYwNjYuNrtlixZwj+WSqX4999/8fvvv2PGjBm1r3UFv/zyC3+5vtTUVDg4OAAoGcJOS0tTWzmEEEIIIY2ZoMAwOTkZffr0QWJiIgBg6tSpaNmyJRYsWKCyN658YFhmypQpePr0aS2qW1lRURF+++03rFy5skbbhYeHIzw8HACQlJRUp17Rmqivcohw1CbaidpF+1CbaCdqF+2jy20iKDD86KOPkJCQAENDQxQWFsLBwQG9e/fGsWPHajVMK5VK1famHTlyBF26dIG9vT0AwN7eHikpKXBwcEBKSgrs7OyUbhccHIzg4GAAgI+PD3x9fdVSn6qVXPVF8+UQ4ahNtBO1i/ahNtFO1C7aR/fbRNA8hqdPn0a/fv0wa9YsftlLL72EuLg4ldt6eHgo3KysrLBr1y6VQ9BC7dy5kx9GBgB/f39EREQAACIiIjBmzBi1lEMIIYQQ0tgJ6jF8/vw53N3dFZbl5uYKOoFEWfAoFouxaNEiYTWsRl5eHk6cOIH/+7//45eFhoYiMDAQmzdvhouLC/bs2VPncgghhBBCmgJBgaGXlxdOnDiBbt26AQB+/vlnHDx4EG3atFG57datWxWem5qaonPnzvDw8KhFdRUZGxtXOlbR2tq6TtPgEEIIIYQ0VYICw7lz52LmzJn4/fffAQBvvPEGAGD27Nkqtw0KCqpD9QghhBBCSH0RFBhOmzYNMTEx+Pbbb5GXlwcjIyO89dZbmD59utL1P/vsM0GFC7lqCiGEEEIIqR+CAkOO4xAWFobPP/8cT548ga2trcL1kitaunSpoOMPKTAkhBBCCNEeggLD3bt3IyYmBqGhoWjRogWkUimWL18OLy8vBAYGVlq/LpfQI4QQQgghDUPwPIaenp78mcQSiQQXLlzAli1blAaGujyxIyGEEEJIUyVoHsNHjx5Vmq7G2dkZjx49ElxQQUEBEhMTkZCQwN8IIYQQQoj2ENRjaGtrizNnzqC4uBh6enooLi7G2bNnYWtrq3LbpKQkvP766zh37hwYY/xyjuMglUprX3NCCCGEEKJWgnoMu3Xrhnv37qFNmzaYMGEC2rRpg+joaPTo0UPltvPnz8fZs2chl8vBGFO4EUIIIYQQ7SEoMFy6dCkMDAxw//597NmzB/fv34ehoSGWLl2qctszZ87A09MTY8aMAcdx2LlzJ+zs7PD999/Xte6EEEIIIUSNBAWG7du3x8WLFzF9+nQMHjwY06dPx99//422bduq3DYzMxNDhgxBy5YtAQCBgYEYNWoUtm/fXreaE0IIIYQQtVJ5jGFxcTFmzZqF9u3bY+PGjTUuwNTUFDKZDNbW1gCAb7/9Fv/88w9iYmJqXltCCCGEEKIxKgNDPT097Nu3DwYGBrUqwN3dHfHx8QgICABjDO+++y4AwNvbu1b5EUIIIYQQzRA0lBwQEIDz58/X6izixYsXY9iwYRg6dCjGjBkDxhjMzMzw9ddf1zgvQgghhBCiOYKmq8nLy8Pt27fh6emJ3r17w9DQEEDJlDObN2+udtvRo0fzl8/79ddfkZWVBRMTE4jF4jpWnRBCCCGEqJOgwHDv3r0AwE9MzXEcGGOCAkNHR0cEBQVh5syZeOmll2Bubl73Wpd69uwZZsyYgVu3boHjOGzZsgXe3t4YP3484uLi4Obmht27d8PS0lJtZRJCCCGENFaCAsMpU6bU+trH6enpWLt2LdauXYsBAwYgODgYr776Kt+LWBchISEYPnw49u7di6KiIuTl5WHFihUYPHgwQkNDERYWhrCwMKxatarOZRFCCCGENHaCAsNt27bVuoADBw5g+/btOHz4MCIjI3HmzBm88847CAoKwpdfflnrfLOysnD27Fm+bvr6+tDX18fBgwf5azUHBQXB19eXAkNCCCGEEAEEnXwCAImJifjss88QHByM58+f4+zZs0hNTVW5nb+/P/bu3YvHjx/jhx9+QNeuXfH06VN89dVXdar4gwcPYGtri6lTp6Jz586YMWMGcnNzkZqaCgcHBwCAg4MD0tLS6lQOIYQQQkhTIajHMDo6Gr169cLz588BAKtWrcKwYcMwY8YMrF+/XlBBN27cwOXLl3Hv3r3a17YcqVSKa9euYf369ejRowdCQkIQFhYmePvw8HCEh4cDKLmec1kvo6bVVzlEOGoT7UTton2oTbQTtYv20eU2ERQYfvjhh3j27Bns7Ozw5MkTWFpaom/fvjh16pTKbRcvXoyffvoJCQkJ/AkrgwYNQnBwcJ0q7uTkBCcnJ/56zePGjUNYWBjs7e2RkpICBwcHpKSkwM7OTun2wcHBfB18fHzg6+tbp/qodgYA6qEcIhy1iXaidtE+1CbaidpF++h+mwgaSr548SKGDx+OiRMn8statmyJxMRElduuWLEC8fHxsLOzw4cffoh79+7h5MmTCAwMrH2tATRv3hzOzs6Ijo4GAJw6dQpt2rSBv78/IiIiAAAREREYM2ZMncohhBBCCGkqBPUYFhUVVZryJS0tTdDVUPz8/BAcHIwxY8ZAIhFUnGDr16/H5MmTUVRUBA8PD2zduhVyuRyBgYHYvHkzXFxcsGfPHrWWSQghhBDSWAmK1Fq3bo2jR4+iY8eOAEp6AQ8dOsQP41bn2LFjAErmHMzKyoKLi0sdqquoU6dOuHLlSqXlQoa4SeMWvW4d7n3zjYq1pgAAfm/ZUmV+L82bB++QEDXUjBBCCNFeggLDhQsXYuzYsThzpmTs/JNPPgEALFiwQHBBy5YtwzfffAOZTFaLahJSM94hIaoDOW4ZAGD0/fv1UCNCCCFE+wk6xvCVV17B999/Dw8PD4jFYri7u2P9+vUICAjQdP0IIYQQQkg9EXzQ3+zZszF79mxN1oUQ0sjRED8hhGi3agPDgoICvP322zhw4ADs7OwQFhYGf3//WhVkaWmp1uMLCSG6h4b4tQ8F64SQ8qoNDFesWIEtW7YAADIyMhAYGIiHDx/yVxapiU8//RSffvpp7WpJCCFEIyhYJ4SUV21guGvXLujr62PmzJmIiorChQsXcODAAcyZM6dGhVy/fh0bN25EQkICXFxcMH36dHTt2rVOFSeEEEIaK+rJJQ2l2sAwISEB48aNw/r16/HkyRPY29sjKSmpRgXs378fgYGBYIzxVz4JDw/Hrl278Oqrr9ap8oRUZenSSCxbdkbQulxpb0h1liwZgKVLfetYK0IIEYZ6cklDqTYwLCws5C8pZ2trCwDIz8+vUQGLFy+GXC5H586d0bZtW9y6dQtRUVH49NNPG01gSP/stM/Spb6CArnIyEidvnQRIYSQ+tFUfutVnpV8/PhxTJs2TelzjuOwefPmarePi4vDwIEDFSadHjRoEC5dulTbOmsd+mdHCCGENG5N5bdeZWB4584d3Llzp9LzsmFhVYFh3759YWNjo7DM3t4eAwYMqGWVCSGEEEKIJlQbGPbv3x8cx9WpgF69emHlypWws7Pjh5L379+PTz75BNu3b+fXmzJlSp3KIYRoPzr2kxBCtBvHGGOaLEAkElUKLst6G/lKcBykUqkmq1EtHx8fpddcVqeyHznGlmi0HFIzdIyhdqJ20S70/aWdqF20T321iSbjFsFXPqktFxeXOvc6EkIIIYQQzdN4YBgXF6fpIgghhNQSDe8TQsrTeGBICCFEe9HUToSQ8nQ6MHRzc4OZmRnEYjEkEgmuXLmCjIwMjB8/HnFxcXBzc8Pu3bthaWnZ0FUlhBBCCNF6Oh0YAsDp06cVpsMJCwvD4MGDERoairCwMISFhWHVqlUNWENCCCGkZmiInzQUnQ8MKzp48CAiIyMBAEFBQfD19dV4YEgfYEIIIepEQ/zap6n81mt8uhpNcnd3h6WlJTiOw6xZsxAcHAwLCws8e/aMX8fS0hKZmZnV5tPV3RWXlnyosIxr2xHibn3Aiosg+2lTpW1EnXwg6tQdLC8Hst3bK6f79IKoXWew55mQ/boTAPDs2TNYWFiUpPcaAJF3W7D0NMgO7a28ff8hEHm8BPY4GbKjByunDx4BkbM75IkPIT91pFK6ePgYcM0dIX9wD/KzJyunjxoHzsYO8uj/IP+78o4uDpgIrpkl5LeuQ37l78rpgVPAGZtCHnUZ8qjKp8yLJ88Ap6cP2T/nwf67USld8uZcAIDswmmwe3cUE/X0IJk8syT9zAmwhzGK6cbGkAS+WZJ+8jBYUrxiunkzSMZOLkk/egDs8SPFdGtbSEa/BgBIDF8HB309hWSueQuIh78CAJDu/wnIeq6Y7uQK8ZCRJem7twF5eYrp7l4QD/ArSf9pI1BcrJj+UmuIew8sSd/2PSrSxL6nkK4D+96Z6zfQ36ZZo973pL/vAZ4+UUjW5n3v2bNnsPId0uj3PV373uN/Vxrxvgfo1vdexm97+d96Pl3N+17Pb7fo7nQ1mnT+/Hm0aNECaWlp8PPzQ6tWrQRvGx4ejvDwcAAl14QuH0wCQPq9GDzOLYZIJkWbCmkAkHY3GmnP8iApLkQrJemPb99Gevpz6Bfk46XSdJlMxpeTfPMmMlOewCgvBy2VbJ944waeJzyCSc5zuCtJj792Hdn342H2PAOuStIfXrmCXNMYNMt8Amcl6fcvX0a+sSks0x/DUUn6vb8vosjQCDZpyWiuJP3u+fOQ6hnA7nEi7JSk3z57FnKxBM2T42CjJP1Waa9ui8QHsKqQLheJcLs03Sn+ISwqpBfn5iK6NN01IQFmWYrphfkFiClNd09KgklOlkJ6flEx7pemuxQX41lerkJ6rlSOh6XpXqmpMCgsUEjPlnOIL033fvIEehW+AJ/FPUQSK0lv8/QpRHK5QnrG/Qd4VFQyhVM7Je+NJva98nRh38uRynC7ke97LVMewUiH9j2ZTIa7TWDf07XvvbLflca87wG69b3XotxvfRlN73vqpNM9huUtXboUpqam2LhxIyIjI+Hg4ICUlBT4+voiOjq62m3rY4JrgLr8tRG1iXaidtE+1CbaidpF+9RHm2gybhFpJNd6kJubi+zsbP7x8ePH0a5dO/j7+yMiIgIAEBERgTFjxjRkNQkhhBBCdIbODiWnpqYiICAAACCVSjFp0iQMHz4c3bp1Q2BgIDZv3gwXFxfs2bOngWtKCCGEEKIbdDYw9PDwwI0blQ/utba2xqlTpxqgRoQQQgghuk1nh5IJIYQQQoh6NZqTT+rCxsYGbm5uGi/nyZMnsLW11Xg5RDhqE+1E7aJ9qE20E7WL9qmPNomLi0N6erpG8qbAsB7V19nPRDhqE+1E7aJ9qE20E7WL9tH1NqGhZEIIIYQQAoACQ0IIIYQQUooCw3oUHBzc0FUgFVCbaCdqF+1DbaKdqF20j663CR1jSAghhBBCAFCPISGEEEIIKUWBoZZwc3MDx3HYtm1bQ1eFlKI20U7ULtqH2kQ7UbtoH11okyYdGPr6+oLjOHAcB4lEAktLS3Tp0gVLlizB8+fPNVKmuneKRYsWoUOHDpBIJOA4Tucvpq7rbRIXF4eJEyfCy8sLpqamsLCwQM+ePbF37966V7QB6Xq7AIC/vz8cHR1hYGAACwsLdOnSBT/88INa8m4IjaFNyhw5cgQikQgcx9XLnLKa1BjapSy/irdbt26pJf/61hjaBAC2bt2Krl27wsjICObm5ujcuTPOnj2rtvzL6Owl8dSpdevWGDRoEB4+fIgTJ07g+vXr2L59O86dOwdHR8eGrl61zp8/DysrK7Rs2RL37t1r6Oqoja62SVxcHHbv3o1+/fph4MCBOHv2LC5duoTAwEAcPXoUQ4cObegq1omutgsA3L9/H/3794elpSVu3LiBCxcuYM6cOXB0dMTo0aMbunq1psttAgBJSUl44403IBaLIZVKG7o6aqPr7QIAU6dOhbm5Of/cxsamAWtTd7rcJosXL8by5cuhr6+P0aNHw9raGnfv3kViYqL6C2NN2IABAxgAFhQUxC+7ffs2Mzc3ZwDY2LFj+eVRUVFs9OjRzMHBgZmZmbGePXuyP/74g0/funUrA8BcXV3ZmjVrWIsWLZiFhQWbMGECy8jIYIwxBqDSbcCAAYwxxlxdXRkAtmzZMjZixAhmaGjIPDw82IEDBwS9lunTpyvkp6t0vU2SkpLYvXv3+OfPnz9nJiYmDACbN2+emt6l+qfr7VKRTCbj67527dq6vTkNpDG0SXFxMevduzdzcXFh77zzDl8HXdYY2qVsu4cPH6rtfWlIut4mcXFxTCwWMwAsMjJSvW+OEhQYVthZGGPs/fffZwCYnp4ey8/PZ9evX2eGhoZMLBazl19+mU2YMIH/sf/1118ZYy92Fo7j2EsvvcSmTZvGLC0tGQA2evRoxhhjISEhzMzMjAFgfn5+LCQkhK1fv54x9mJnEYlEbOzYsaxHjx4MADM3N2fZ2dkqX0tjDgwZ0802YYyxZ8+eMX19fQaArV69Wm3vU31rLO3y/fffs7feeov17t2bAWBt2rRhjx8/Vvv7VR8aQ5u8//77TE9Pj128eJEtWbKk0QaGjOlWu5RtZ2lpyYyNjVm7du3Yt99+q5H3qz7oepts3LiRAWAmJiZs5MiRzMzMjDk6OrJ3332X5ebmqv39osBQyc7y3Xff8VF+cnIyH3S1bNmShYSEsJCQENalSxeFQKxsZ5FIJPwPzYEDB/h8UlJSGGMvdoqtW7cqlFm2fPr06Ywxxp48ecJve+XKFZWvpbEHhrrYJjk5OczPz48BYJ07d2Y5OTl1e3MaUGNpl8GDB/Pr6unpsffee09n20XX2+S3335jHMexdevWMcZYow8MdaVdGGOsc+fObMyYMWzWrFl84AKAff311+p5k+qZrrfJ8uXL+XW8vLzYjBkzmIWFBQPAgoOD1fdGlaJjDJV48OABAEBPTw9WVlaIj48HUHKM0rp16xTWrTi+b2NjA3t7ewBAu3bt+OUJCQlo3ry5yrJ79OgBALC2tuaXZWdn1+JVNC661iaJiYnw9/dHVFQUfH198euvv8LExERlWbpG19rl5MmTKCoqwo0bNzB27FisWbMGT548QUREhMrydIWutMmWLVsgFotx/PhxHD9+nD9GOi0tDaNGjcL69evh7u6uskxdoSvtAgBXr14Fx3EAAMYY+vTpg7///hu//PILQkJCVJanK3SlTcrnt2PHDnTv3h2tW7fGe++9h3379uH//u//VJZXE036rGRl7ty5g40bNwIARo0aBUNDQ7i4uAAAhgwZAlbSywrGGAoLCxEZGamwfXp6OlJTUwFA4QyusjwkkpJYXC6XKy1fT08PAPgPJdG9Nrl06RK6d++OqKgozJo1C8ePH4eFhYWwF6tDdKldsrOzwUrn8tfX10e3bt3g7e0NAPjnn38EvV5doEttwhiDVCrF4cOHcfjwYcTExAAA8vPzcfjwYY2dLdoQdKldnj59ioyMDIVlZZ+dgoICldvrCl1qk86dO1daVtYmpqamKrevMbX3QeqQsu7l1q1bs7feeouNHDmS6enpMQDMzc2NJSYmMsYYu3r1KjMwMGAAWJ8+fdjs2bPZmDFjmLW1NVuyZAlj7EX3skgkYi+99BKbPn06f9zByJEj+TIHDRrEALC2bduyefPmsYMHDzLGlHc7o7Tr+PTp01W+hpUrV7KgoCDm5eXFADB7e3sWFBTE3nvvPbW/X/VB19vkv//+Y4aGhgwAc3Z25ocjQkJC2E8//aSR96w+6Hq7bN26lTk7O7PAwEA2Z84c1q9fP36bBQsWaOQ90zRdb5OKGttQsq62y+nTp5mhoSEbMWJEoxtK1tU2YYyxMWPGKB1KXrFihdrfLwoMSxtEJBIxCwsL1rlzZ7ZkyRL27NkzhXWvXbvG/P39WYsWLZiBgQFzcXFhgYGB7OLFi4wxxTOVvv32W+bo6MiaNWvGAgMDWXp6Op/PhQsXWNu2bfmdsiyAq+3OUv41lL/p6perrrfJ6dOnlbYHlBzfokt0vV3Onz/P+vXrx2xsbJhYLGYmJiasS5cubPXq1Uwqlar3zaonut4mFTW2wFBX2yUxMZEFBQUxDw8PZmRkxCwtLVnPnj0bxR9bXW0TxhjLyspic+bMYfb29szIyIi1bduWrV+/nsnlcvW9UaXoWslqsm3bNkydOhWurq6Ii4tr6OoQUJtoK2oX7UNtop2oXbRPU2gTOsaQEEIIIYQAoMCQEEIIIYSUoqFkQgghhBACgHoMCSGEEEJIKQoMCSGEEEIIgCYWGL755pvgOK7S7dtvv+XXuXHjBvz9/WFvbw8DAwM4ODhg/Pjx/AzpykRGRvJ5keoJeX+FtNOyZcvg6ekJExMTGBsbw9PTE++//361E7BSO5WYNWsWOnbsCEtLSxgbG6N169ZYsWIFZDIZv86DBw8wadIkODo6wtDQEB07dsSuXbv49Li4OKVtpOz9PXfuHIYNG4ZmzZrByMgIXl5eCm1ZUVNtJyH7PaD6/aTPj3oI3ceFfKcJWUcqlWLJkiVwc3ODvr4+3NzcsGzZMoXPZUVNrU3KqPp+AoR9zwlpl6b4WWmSl8Tz8/NDmzZt+OedOnUCUDKT+IgRI5CSkgJPT0+MHDkSf/zxB3bv3o3Y2FhcvXq1XupXVFQEfX39eimrPtX0/a2qnQAgJiYGbdu2xdChQ/H48WMcPHgQa9asAWMMa9asqZfXo6vtFB4ejvbt2yMgIAAPHjzAmTNnsGjRIuTl5eF///sfsrKyMGjQIMTHx6N79+4YNmwYfvnlF0yYMAEAMH78eJibm1e6NNahQ4dw//59vPTSS/yyI0eOwN/fH1KpFAMHDoS3tzeSk5MRHR1db69X19qpuv2+Ju8nfX7qRsg+LuQ7Tej33scff4zVq1fD3t4ekydPxpEjR7B06VI8ffoU33zzTb28Zm1vEwCCvp8A1d9zQtulSX5W1D4zohYLCgqqNLFkec+fP+cnmiybpbzsItvNmjVTuk3ZZJcVb2VlnDlzhg0aNIjZ2NgwS0tLNnjwYPb333/z25dN6tq3b182f/58ZmVlxXx9fRljLya9XLVqFWvfvj0zNDRko0aNYsnJyWzatGnMxMSEubu7s3379vH5HThwgHXp0oWZmpoyY2Nj5uXlxWbPnl33N08NhL6/qtpJmVGjRjEAzN/fX2k6tdMLFSdRLbsKSIcOHRhjjP3xxx/8a8rMzGSMMRYSEsIAsDZt2ijNMyMjg5mamjIAbPPmzfxyT09PBoAtW7ZMUN2acjsJ2e+FvJ/0+dEMZfu4kO80Ieukp6fzV0w6cuQIY4yxo0ePMgBMIpGwtLS0SvVpqm0i9PtJ1fdcbX7vGWsan5UmGRg2a9aM6evrM3d3dzZ//nz2/Plzfp158+YxAMzT05NNmzaN2dvbMz09Pfbdd98pzfPSpUvs1Vdf5Rus7PJnly5dYn/88QfjOI4ZGhqygIAAFhAQwPT09Jienh67fPkyY+zFTsBxHHNzc2MzZ85koaGhjLEXO4GpqSmbOnUqs7a2ZgCYhYUF69SpExs6dCif/uzZM5afn89fzue1115jM2fOZEOGDGGtW7fW/JsrkJD3V0g7McbY8ePH2bx581hAQAATiUTM0tKSnT17Vmm51E5V6969OwNeXM7pzz//5F/TsWPHWFZWFhsyZAi/LCsrq1Ien332GQPAnJycWGFhIWOMsZiYGH6b0aNHMxsbG2ZlZcUCAgLYw4cPldalKbeTqv1e6PtJnx/NULaPMybsO03VOpGRkZWCnaysLH7Z4cOHK9WnqbZJbb6fGKv8PceY8N/7pvZZaVKBYXBwMBs0aBALDg5mo0ePZiKRiAFgr7zyCr/OX3/9xby9vRUi/a5du7Lz589XmW/5y6CVN3jwYAaAde7cmd85yv7xl10erWwnMDExqfSvsCzPtWvXMsYYmz9/Pv8PMj09neXk5PDrXLx4keXk5DCxWMwkEgnbvn07i4qKYvn5+ay4uFhN72DdCXl/hbQTY4x9/vnnCvn4+/uzBw8eVFk2tVNlH3/8Mf/F8t9//zHGGJNKpfx7ouyWnJyskEdeXh6ztbVlANhXX33FLz9//jy/TbNmzdiMGTPYSy+9xICS64dW9Xqbajup2u+Fvp/0+VG/qvZxxoR9p6laZ+fOnfzysks0yuVyftmOHTuU1qsptklNv58YU/49x5jw3/um9llpUoFhxWsKhoaGMqDk2om5ubksPT2dGRsbMwBs3bp1LD8/n61bt46PwJ8+fao036p2grIGV3YbNGgQY+zFTtCjR49K+Zate+LECcbYi3+sjo6O/DpisVhhna1btzIPDw9+W319fTZt2jQmk8lq/8apidD3V1U7lSeTydiDBw+Yn58fA0ouiF7Va6V2eiE/P59NnjyZASU9IDdv3lRIl8lkbO/evWzx4sXsiy++YF9++SX/BZSfn6+w7jfffMMAMGtra5aTk8Mvv3//Pv/6Vq1axRgruUh92bKKZZZpqu2kar8X+n7S50f9qtrHhXynCVmnNj2GjDXdNhH6/VTd91xNf++b0melSZ2VfO/ePYXnrHRub8YYioqKEBcXh7y8PABA3759YWhoiD59+gAAcnJyqrwuokTy4hweuVzOP3ZxcQEATJ8+HawkCAdjDDk5Ofjpp58U8jA0NKyy3mX5l53hVL68iiZMmID79+8jIyMD586dg7GxMbZs2YILFy5UuU19Efr+qmqn4uJi/owwkUgEd3d39O/fny8jPT1dafnUTiUeP36MgQMH4qeffkKvXr3wzz//oF27dgrrSKVSvPrqq/j888+xYMECHD16FAAwcOBAhfdAKpXyB2DPmzcPJiYmfJqLiwusrKwU8i1rSwAwNTVVWr+m2k6q9nuh7yd9ftSrun1cyHeakHXatm0LAwMDAMDFixcBAOfPnwdQ8j74+PgorVtTbhNV30+qvueEtEtT/aw0qbOSW7dujV69eqFt27Z4/PgxDh8+DAAYM2YMLCws0KZNG9jb2yM1NRWBgYEYMmQITp06BQBo3ry5whl+5bm6uvKPAwMD4eTkhNDQUMyfPx+nT5/G5s2bkZiYCHd3dyQmJuLs2bNYv3493nzzTbW/RltbW/Tv3x/Ozs7Izs5GVlYWAMDS0lLtZdWU0PdXVTvFxcWhQ4cO8PX1hZOTE1JSUvh1unTpAjs7O6XlUzuV6N69OxITE2FoaIhOnTohLCwMAGBlZYVPP/0UAODv7w89PT20aNECFy5cwK1bt2BiYoIvvvhCIa+dO3ciPj4epqamePvttxXSJBIJPvnkE8yfPx8rVqxATEwMzp49CwAYOnQo3NzclNavqbaTqv0egKD3kz4/6lXdPi7kO40xpnIdQ0NDvP3221izZg3efPNNjBgxAkeOHAEABAcHU5tUIOT7SdX3nJC2S05ObpqflSr7EhuhBQsWsPbt2zNzc3NmbGzM2rRpw/73v/+xvLw8fp2bN2+yV199lTVv3pzp6emx5s2bs7Fjx7Jbt25Vm/fSpUv5Y1BQbljnzz//ZIMHD2a2trbM0NCQeXh4sDfffJPdvXuXMfai23jAgAGV8izLq+zsqrLjHFxdXfl1KnYbBwYGMnd3d2ZoaMhMTExYhw4d2JYtW+rwrqmXkPdXVTs9ffqUjRw5krVo0YLp6+szfX195uXlxebNm8eePHlSbfnUTi/qW/FWvr6hoaGsRYsWTE9Pj1laWrJXXnmF/fvvvwr5yOVy1q5dOwaAvffee0rLksvlbM2aNczT05Pp6+szNzc3Nn/+fPbs2bNq69gU20nI95OQ95M+P+ojZB8X8p0mZJ3i4mK2ePFi5uLiwiQSCXNxcWGffPKJyuPBmlqbMCbs+0nI95yqdmmqnxW6VjIhhBBCCAHQxK58QgghhBBCqkaBISGEEEIIAUCBISGEEEIIKUWBISGEEEIIAUCBISGEEEIIKUWBISGEEEIIAUCBISGEEEIIKUWBISGEEEIIAUCBISGEEEIIKfX/ZbJFDQkEYPgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "# Your existing data and plots for CCAUC...\n",
    "\n",
    "# Create a 2x1 grid\n",
    "fig = plt.figure(figsize=(10, 5), facecolor='white')\n",
    "gs = gridspec.GridSpec(2, 1, height_ratios=[1, 1], hspace=0.1)  # Set the height ratios and space between the subplots\n",
    "\n",
    "# Top subplot for CCAUC\n",
    "ax1 = fig.add_subplot(gs[0])\n",
    "ax1.axhline(y=50, color='salmon', linestyle='--')\n",
    "line2, = ax1.plot(x, max_window_freq_percents[:chunk_size], marker='o', color='firebrick', linewidth=2.5, markersize=8, label='Frequency Analysis')\n",
    "ax1.errorbar(x, max_window_freq_percents[:chunk_size], yerr=[freq_std[:chunk_size], freq_error_max[:chunk_size]], fmt='o', ecolor='firebrick', elinewidth=2, capsize=10, color='firebrick')\n",
    "line1, = ax1.plot(x, max_window_imp_percents[:chunk_size], marker='o', color='navy', linewidth=2.5, markersize=8, label='Impact Analysis')\n",
    "ax1.errorbar(x, max_window_imp_percents[:chunk_size], yerr=[imp_std[:chunk_size], imp_error_max[:chunk_size]], fmt='o', ecolor='navy', elinewidth=2, capsize=10, color='navy')\n",
    "ax1.set_xticks(range(len(x)))\n",
    "ax1.set_xticklabels([])  # Remove x-axis labels for the top subplot \n",
    "ax1.set_xticks([])  # Remove x-axis ticks for the top subplot\n",
    "ax1.grid(True)  # Add gridlines\n",
    "ax1.set_ylabel('Percentage of\\nCCAUC ratio > 1', fontsize=13, weight='bold')\n",
    "ax1.set_yticks(range(50, 101, 10))  # Set y-axis ticks from 50 to 100 in steps of 10\n",
    "ax1.tick_params(axis='x', colors='white')  # Set the top x-axis tick labels color to white\n",
    "\n",
    "# Bottom subplot for p-value\n",
    "ax2 = fig.add_subplot(gs[1], sharex=ax1)  # Share the same x-axis with the top subplot\n",
    "ax2.axhline(y=50, color='salmon', linestyle='--')\n",
    "line2, = ax2.plot(x, depth_wise_chi2tests_maxlen_freq[:chunk_size], marker='o', color='firebrick', linewidth=2.5, markersize=8, label='Frequency Analysis')\n",
    "ax2.errorbar(x, depth_wise_chi2tests_maxlen_freq[:chunk_size], yerr=[depth_wise_chi2tests_std_freq[:chunk_size], chi2tests_freq_error_max[:chunk_size]], fmt='o', ecolor='firebrick', elinewidth=2, capsize=10, color='firebrick')\n",
    "line4, = ax2.plot(x, depth_wise_chi2tests_maxlen_imp[:chunk_size], marker='o', color='navy', linewidth=2.5, markersize=8, label='Impact Analysis')\n",
    "ax2.errorbar(x, depth_wise_chi2tests_maxlen_imp[:chunk_size], yerr=[depth_wise_chi2tests_std_imp[:chunk_size], chi2tests_imp_error_max[:chunk_size]], fmt='o', ecolor='navy', elinewidth=2, capsize=10, color='navy')\n",
    "ax2.grid(True)  # Add gridlines\n",
    "ax2.set_ylabel('Percentage of\\np-value < 0.05', fontsize=13, weight='bold')\n",
    "ax2.set_xticks(range(len(x)))\n",
    "ax2.set_xticklabels(x, fontsize=13, weight='bold')  # Set x-axis labels for the bottom subplot\n",
    "ax2.set_yticks(range(50, 101, 10))  # Set y-axis ticks from 50 to 100 in steps of 10\n",
    "\n",
    "# Create a combined legend for both subplots and position it at the top of the top subplot\n",
    "combined_lines = [line1, line2]\n",
    "combined_labels = [line.get_label() for line in combined_lines]\n",
    "ax1.legend(combined_lines, combined_labels, loc='upper center', fontsize='large', bbox_to_anchor=(0.5, 1.27), ncol=3)\n",
    "\n",
    "# Save the plot or display it\n",
    "plt.savefig('impact_vs_freq_combined.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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