{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "liberal-publisher",
   "metadata": {},
   "source": [
    "# Comprehensive Constraints Analysis - With Removed Statements - Final\n",
    "\n",
    "In this notebook, the original dataset is combined with the removed statements dataset and then the violations are determined in total."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "juvenile-ability",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "model_id": "8f09d8d199d445fbb9e4ed86e3bb148e",
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       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1149471184 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Split claims file into multiple files\n",
    "import gzip\n",
    "from tqdm.notebook import tqdm\n",
    "propFileDict = {}\n",
    "fileLineCount = 1225057250\n",
    "with open('../../data/claims.w_removed_statements.tsv','r') as fin: \n",
    "    headerLine = next(fin)\n",
    "    for line in tqdm(fin, total = fileLineCount):\n",
    "        lineP = line.rstrip().split(\"\\t\")\n",
    "        if \"external-id\" in lineP[-1]:\n",
    "            continue\n",
    "        prop = lineP[2]\n",
    "        if prop not in propFileDict:\n",
    "            propFileDict[prop] = open(\"../../propertiesSplit_WRemoved_Final/claims.\"+str(prop)+\".tsv\",\"w\")\n",
    "            propFileDict[prop].write(headerLine)\n",
    "        propFileDict[prop].write(line)\n",
    "    for file1 in propFileDict.values():\n",
    "        file1.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "matched-strength",
   "metadata": {},
   "source": [
    "# Generate Queries"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "black-insured",
   "metadata": {},
   "source": [
    "## Type Constraint\n",
    "\n",
    "Type constraint indicates that node1 must be an instance of or subclass of the class specified."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "interior-humor",
   "metadata": {},
   "source": [
    "### Understand Constraints File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "clinical-brunei",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv('../../constraintsOP/typeConstraint/claims.type-constraints_all.tsv',sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "assured-cleaners",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = df.groupby(['node1','label']).node2.apply(lambda p: p.tolist()).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "sharing-evolution",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "still-trail",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1[df1['node1'] == 'P8138']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "solid-browser",
   "metadata": {},
   "source": [
    "### Query Generator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bright-impossible",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import os.path\n",
    "import os\n",
    "\n",
    "cnt = 0\n",
    "fCnt = 1\n",
    "\n",
    "fOP = None\n",
    "\n",
    "for prop in tqdm(df1.node1.unique()):\n",
    "    try:\n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "        relation = df1[(df1['node1'] == prop) & (df1['label'] == 'P2309')].node2.values[0][0]\n",
    "        type1 = df1[(df1['node1'] == prop) & (df1['label'] == 'P2316')].node2.values\n",
    "#         print(type1)\n",
    "\n",
    "        parents = df1[(df1['node1'] == prop) & (df1['label'] == 'P2308')].node2.values[0]\n",
    "        exceptions = df1[(df1['node1'] == prop) & (df1['label'] == 'P2303')].node2.values\n",
    "        \n",
    "        if relation == \"Q21503252\":\n",
    "            parentFile = \"P31\"\n",
    "            parentTitle = 'instanceOf'\n",
    "        elif relation == \"Q21514624\":\n",
    "            parentFile = \"P279\"\n",
    "            parentTitle = 'subclass'\n",
    "        else:\n",
    "            parentFile = \"isa\"\n",
    "            parentTitle = 'instanceOfOrSubclass'\n",
    "\n",
    "        if len(type1) != 0 and type1[0][0] == \"Q21502408\":\n",
    "            typeVal = \"mandatory\"\n",
    "        elif len(type1) != 0 and type1[0][0] == \"Q62026391\":\n",
    "            typeVal = \"suggestion\"\n",
    "        else:\n",
    "            typeVal = \"normal\"\n",
    "\n",
    "        if len(exceptions):\n",
    "            exceptionPart = \"or node1 in \" + str(exceptions[0]).replace(\"'\",'\"')\n",
    "        else:\n",
    "            exceptionPart = \"\"\n",
    "        \n",
    "        folderName = 'typeConstraint'\n",
    "        shellFileSuffix = 'typeConstraintValidator'\n",
    "        \n",
    "        if cnt % 120 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fOP = open(\"../../propertiesSplit_WRemoved_Final/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "            fCnt += 1\n",
    "        \n",
    "        fOP.write(\"{ time (kgtk --debug query -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "        ../../wikidata-20210215/derived.\" + parentFile + \".tsv.gz \\\n",
    "        ../../wikidata-20210215/derived.P279star.tsv.gz \\\n",
    "        --match 'm: (node1)-[nodeProp]->(node2), \" + parentFile + \": (node1)-[]->(nodex), P279star: (nodex)-[]->(par)' \\\n",
    "        --where 'par in \" + str(parents).replace(\"'\",'\"') + \" \" + exceptionPart + \"' \\\n",
    "        --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`' \\\n",
    "        -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp.tsv \\\n",
    "        --graph-cache ~/sqlite3_caches/type_new2_\" + str(fCnt) + \".sqlite3.db; \\\n",
    "         kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "        --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp.tsv \\\n",
    "        -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect_temp.tsv ;\\\n",
    "        kgtk --debug query -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect_temp.tsv \\\n",
    "        ../../wikidata-20210215/derived.\" + parentFile + \".tsv.gz \\\n",
    "        --match 'm: (node1)-[nodeProp]->(node2), \" + parentFile + \": (node1)-[]->(par)' \\\n",
    "        --where 'par in \" + str(parents).replace(\"'\",'\"') + \" \" + exceptionPart + \"' \\\n",
    "        --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`' \\\n",
    "        -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp2.tsv \\\n",
    "        --graph-cache ~/sqlite3_caches/type_new2_\" + str(fCnt) + \".sqlite3.db; \\\n",
    "         kgtk --debug ifnotexists -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect_temp.tsv \\\n",
    "        --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp2.tsv \\\n",
    "        -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect.tsv ; \\\n",
    "         kgtk --debug cat -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp.tsv \\\n",
    "        ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp2.tsv \\\n",
    "        -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct.tsv ; \\\n",
    "        ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/\" + shellFileSuffix + str(fCnt) + \".txt;\\n\")\n",
    "\n",
    "        cnt += 1\n",
    "    except:\n",
    "        print(\"Something failed for prop:\",prop)\n",
    "\n",
    "if fOP:\n",
    "    fOP.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "electrical-agreement",
   "metadata": {},
   "outputs": [],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "outside-stupid",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,14):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplit_WRemoved_Final/checkViolations/typeConstraintValidator\"+str(i)+\".sh\")\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "competitive-canvas",
   "metadata": {},
   "source": [
    "### Analyze Violations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "casual-perth",
   "metadata": {},
   "outputs": [
    {
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       "0it [00:00, ?it/s]"
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   ],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "typeConstViolations = {}\n",
    "\n",
    "def countLines(fname):\n",
    "    cnt = -1\n",
    "    with open(fname, 'r') as f:\n",
    "        for line in f:\n",
    "            cnt += 1\n",
    "    return cnt\n",
    "\n",
    "propList = set()\n",
    "\n",
    "violations = {}\n",
    "\n",
    "for folder in tqdm(iter(['mandatory', 'suggestion', 'normal'])):\n",
    "    typeConstViolations[folder] = {'instanceOf': {'correct': 0, 'incorrect': 0}, 'subclass': {'correct': 0, 'incorrect': 0}, 'instanceOfOrSubclass': {'correct': 0, 'incorrect': 0},'propCount': 0}\n",
    "    filePath = \"../../allConstraintsAnalysis_WRemoved_Final/typeConstraint/\"+folder+\"/\"\n",
    "    for filename in tqdm(os.listdir(filePath)):\n",
    "        type1 = filename.split(\".\")[2]\n",
    "        prop = filename.split(\".\")[3]\n",
    "        propList.add(prop)\n",
    "        correctness = filename.split(\".\")[4]\n",
    "        count1 = countLines(filePath+filename)\n",
    "        if correctness not in ['correct','incorrect']:\n",
    "            continue\n",
    "        typeConstViolations[folder][type1][correctness] += count1\n",
    "        if prop not in violations:\n",
    "            violations[prop] = {'correct': 0, 'incorrect': 0, 'paths': []}\n",
    "        violations[prop][correctness] = count1\n",
    "        violations[prop]['paths'].append(filePath+filename)\n",
    "        if correctness == 'correct':\n",
    "            typeConstViolations[folder]['propCount'] += 1\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "golden-affiliate",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1465 properties processed for type constraint for 550605745 statements\n"
     ]
    }
   ],
   "source": [
    "recordCount = 0\n",
    "for elem in typeConstViolations.keys():\n",
    "    for key1 in typeConstViolations[elem].keys():\n",
    "        try:\n",
    "            recordCount += typeConstViolations[elem][key1]['correct'] + typeConstViolations[elem][key1]['incorrect']\n",
    "        except:\n",
    "            continue\n",
    "print(f\"{len(propList)} properties processed for type constraint for {recordCount} statements\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "needed-portfolio",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "typeConstDF = pd.DataFrame(violations).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "lesser-thomson",
   "metadata": {},
   "outputs": [],
   "source": [
    "typeConstDF['violation_ratio'] = typeConstDF.apply(lambda p: p.incorrect / (p.correct + p.incorrect), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "flying-context",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1303</th>\n",
       "      <td>203148</td>\n",
       "      <td>2610</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>0.012685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3919</th>\n",
       "      <td>3393</td>\n",
       "      <td>158</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>0.044495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6185</th>\n",
       "      <td>269</td>\n",
       "      <td>12</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>0.042705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3922</th>\n",
       "      <td>1824</td>\n",
       "      <td>51</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>0.027200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P301</th>\n",
       "      <td>705949</td>\n",
       "      <td>28017</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>0.038172</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P1303  203148      2610  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P3919    3393       158  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P6185     269        12  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P3922    1824        51  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P301   705949     28017  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "\n",
       "       violation_ratio  \n",
       "P1303         0.012685  \n",
       "P3919         0.044495  \n",
       "P6185         0.042705  \n",
       "P3922         0.027200  \n",
       "P301          0.038172  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeConstDF.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "competitive-peeing",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P8138</th>\n",
       "      <td>0</td>\n",
       "      <td>462</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5051</th>\n",
       "      <td>0</td>\n",
       "      <td>81</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2309</th>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2308</th>\n",
       "      <td>0</td>\n",
       "      <td>51</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2303</th>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1227</th>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2912</th>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6001</th>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8738</th>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P538</th>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8004</th>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5589</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2312</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6510</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2310</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P8138       0       462  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P5051       0        81  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P2309       0        55  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P2308       0        51  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P2303       0        44  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P1227       0        20  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P2912       0        16  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P6001       0        16  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P8738       0        14  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P538        0        10  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P8004       0         6  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P5589       0         5  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P2312       0         5  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P6510       0         4  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P2310       0         4  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "\n",
       "       violation_ratio  \n",
       "P8138              1.0  \n",
       "P5051              1.0  \n",
       "P2309              1.0  \n",
       "P2308              1.0  \n",
       "P2303              1.0  \n",
       "P1227              1.0  \n",
       "P2912              1.0  \n",
       "P6001              1.0  \n",
       "P8738              1.0  \n",
       "P538               1.0  \n",
       "P8004              1.0  \n",
       "P5589              1.0  \n",
       "P2312              1.0  \n",
       "P6510              1.0  \n",
       "P2310              1.0  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeConstDF.sort_values(by=['violation_ratio','incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "clinical-lawsuit",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1465.000000\n",
       "mean        0.117857\n",
       "std         0.226919\n",
       "min         0.000000\n",
       "25%         0.007233\n",
       "50%         0.024422\n",
       "75%         0.094675\n",
       "max         1.000000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeConstDF['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "wanted-domestic",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Type Constraint Violation Ratios')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "typeConstDF['violation_ratio'].plot.hist(bins=100).set_title(\"Type Constraint Violation Ratios\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "sufficient-hollywood",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Type Constraint Violation Ratios (<=0.05)')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "typeConstDF[typeConstDF['violation_ratio'] <= 0.05].violation_ratio.plot.hist(bins=100).set_title(\"Type Constraint Violation Ratios (<=0.05)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "minor-marshall",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of constraints whose violation ratio is greater than mean :0/1465\n"
     ]
    }
   ],
   "source": [
    "print(f\"No. of constraints whose violation ratio is greater than mean :{sum(typeConstDF['violation_ratio'] >= 5.286054)}/{len(typeConstDF)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "revolutionary-violence",
   "metadata": {},
   "outputs": [],
   "source": [
    "for key1 in typeConstViolations.keys():\n",
    "    typeConstViolations[key1]['correct'] = typeConstViolations[key1]['instanceOf']['correct'] + typeConstViolations[key1]['subclass']['correct'] + typeConstViolations[key1]['instanceOfOrSubclass']['correct']\n",
    "    typeConstViolations[key1]['incorrect'] = typeConstViolations[key1]['instanceOf']['incorrect'] + typeConstViolations[key1]['subclass']['incorrect'] + typeConstViolations[key1]['instanceOfOrSubclass']['incorrect']\n",
    "    typeConstViolations[key1]['VR'] = typeConstViolations[key1]['incorrect'] / (typeConstViolations[key1]['correct'] + typeConstViolations[key1]['incorrect'])\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "emotional-favorite",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'mandatory': {'instanceOf': {'correct': 46306630, 'incorrect': 798106},\n",
       "  'subclass': {'correct': 2064, 'incorrect': 53},\n",
       "  'instanceOfOrSubclass': {'correct': 233195, 'incorrect': 3169},\n",
       "  'propCount': 167,\n",
       "  'correct': 46541889,\n",
       "  'incorrect': 801328,\n",
       "  'VR': 0.016925930487571218},\n",
       " 'suggestion': {'instanceOf': {'correct': 62170, 'incorrect': 19110},\n",
       "  'subclass': {'correct': 0, 'incorrect': 0},\n",
       "  'instanceOfOrSubclass': {'correct': 24237, 'incorrect': 3458},\n",
       "  'propCount': 11,\n",
       "  'correct': 86407,\n",
       "  'incorrect': 22568,\n",
       "  'VR': 0.20709337003899977},\n",
       " 'normal': {'instanceOf': {'correct': 425791059, 'incorrect': 7991316},\n",
       "  'subclass': {'correct': 98826, 'incorrect': 13672},\n",
       "  'instanceOfOrSubclass': {'correct': 68383205, 'incorrect': 875475},\n",
       "  'propCount': 1287,\n",
       "  'correct': 494273090,\n",
       "  'incorrect': 8880463,\n",
       "  'VR': 0.017649608051162863}}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeConstViolations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "aggregate-impact",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P2093</th>\n",
       "      <td>148843213</td>\n",
       "      <td>1512369</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>0.010059</td>\n",
       "      <td>150355582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1476</th>\n",
       "      <td>44100871</td>\n",
       "      <td>2199197</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>0.047499</td>\n",
       "      <td>46300068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P577</th>\n",
       "      <td>39990807</td>\n",
       "      <td>165864</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>0.004130</td>\n",
       "      <td>40156671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1433</th>\n",
       "      <td>37028672</td>\n",
       "      <td>112955</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>0.003041</td>\n",
       "      <td>37141627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1215</th>\n",
       "      <td>33425605</td>\n",
       "      <td>316565</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/t...</td>\n",
       "      <td>0.009382</td>\n",
       "      <td>33742170</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         correct incorrect                                              paths  \\\n",
       "P2093  148843213   1512369  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P1476   44100871   2199197  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P577    39990807    165864  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P1433   37028672    112955  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "P1215   33425605    316565  [../../allConstraintsAnalysis_WRemoved_Final/t...   \n",
       "\n",
       "       violation_ratio      total  \n",
       "P2093         0.010059  150355582  \n",
       "P1476         0.047499   46300068  \n",
       "P577          0.004130   40156671  \n",
       "P1433         0.003041   37141627  \n",
       "P1215         0.009382   33742170  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeConstDF['total'] = typeConstDF['correct'] + typeConstDF['incorrect']\n",
    "typeConstDF.sort_values(by=['total'],ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "grateful-telling",
   "metadata": {},
   "outputs": [],
   "source": [
    "typeConstDF.to_csv('../../allConstraintsAnalysis_WRemoved_Final/typeConstDFAnalysis.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bearing-kruger",
   "metadata": {},
   "source": [
    "### Find out time required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "veterinary-fault",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "codepConstViolations = {}\n",
    "\n",
    "codepConstViolations = {}\n",
    "codepConstPropList = set()\n",
    "\n",
    "def extractTimes(filename):\n",
    "    times = []\n",
    "    with open(filename) as f:\n",
    "        for line in f:\n",
    "            if \"real\" in line:\n",
    "                line = line.strip()\n",
    "                time1 = line.split(\"\\t\")[1]\n",
    "                mins, sec = time1.split(\"m\")\n",
    "                mins = int(mins)\n",
    "                sec = float(sec[:-1])\n",
    "                times.append(60 * mins + sec)\n",
    "    return times\n",
    "\n",
    "# codepConstViolationsSummary = {}\n",
    "times = []\n",
    "filePath = '/data/wd-correctness/propertiesSplit_WRemoved_Final/checkViolations/exec_logs/'\n",
    "for filename in tqdm(os.listdir(filePath)):\n",
    "    if filename.startswith(\"typeConstraintValidator\"):\n",
    "        tempTimes = extractTimes(filePath + filename)\n",
    "        times += tempTimes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "infinite-assembly",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(pd.Series(times).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "opened-essex",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "sns.lineplot(data=pd.Series(times)).set_title(\"Distribution of times (in s) taken for type constraint checks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "intense-computer",
   "metadata": {},
   "source": [
    "## Value Type Constraint\n",
    "\n",
    "Here, the constraint indicates that node2 must be an instance of or subclass of the specified class"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "animated-companion",
   "metadata": {},
   "source": [
    "### Understand Constraints File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "static-profit",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "dfValueType = pd.read_csv('../../constraintsOP/valuetypeConstraint/claims.type-constraints_all1.tsv',sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "worthy-malawi",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfValueType = dfValueType.groupby(['node1','label']).node2.apply(lambda p: p.tolist()).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eleven-tiffany",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfValueType.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "expired-stuff",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfValueType['label'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "digital-harvard",
   "metadata": {},
   "source": [
    "### Query Generator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "white-badge",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bb623e1d72164970a40f3bc2d9ab6346",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/932 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Something failed for prop: P1389\n"
     ]
    }
   ],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import os.path\n",
    "import os\n",
    "\n",
    "cnt = 0\n",
    "fCnt = 1\n",
    "\n",
    "fOP = None\n",
    "\n",
    "for prop in tqdm(dfValueType.node1.unique()):\n",
    "    try:\n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "        relation = dfValueType[(dfValueType['node1'] == prop) & (dfValueType['label'] == 'P2309')].node2.values[0][0]\n",
    "        type1 = dfValueType[(dfValueType['node1'] == prop) & (dfValueType['label'] == 'P2316')].node2.values\n",
    "#         print(type1)\n",
    "\n",
    "        parents = dfValueType[(dfValueType['node1'] == prop) & (dfValueType['label'] == 'P2308')].node2.values[0]\n",
    "        exceptions = dfValueType[(dfValueType['node1'] == prop) & (dfValueType['label'] == 'P2303')].node2.values\n",
    "        \n",
    "        if relation == \"Q21503252\":\n",
    "            parentFile = \"P31\"\n",
    "            parentTitle = 'instanceOf'\n",
    "        elif relation == \"Q21514624\":\n",
    "            parentFile = \"P279\"\n",
    "            parentTitle = 'subclass'\n",
    "        else:\n",
    "            parentFile = \"isa\"\n",
    "            parentTitle = 'instanceOfOrSubclass'\n",
    "\n",
    "        if len(type1) != 0 and type1[0][0] == \"Q21502408\":\n",
    "            typeVal = \"mandatory\"\n",
    "        elif len(type1) != 0 and type1[0][0] == \"Q62026391\":\n",
    "            typeVal = \"suggestion\"\n",
    "        else:\n",
    "            typeVal = \"normal\"\n",
    "\n",
    "        if len(exceptions):\n",
    "            exceptionPart = \"or node2 in \" + str(exceptions[0]).replace(\"'\",'\"')\n",
    "        else:\n",
    "            exceptionPart = \"\"\n",
    "        \n",
    "        folderName = 'valueTypeConstraint'\n",
    "        shellFileSuffix = 'valueTypeConstraintValidator'\n",
    "        \n",
    "        if cnt % 120 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fOP = open(\"../../propertiesSplit_WRemoved_Final/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "            fCnt += 1\n",
    "        \n",
    "        fOP.write(\"{ time (kgtk --debug query -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "        ../../wikidata-20210215/derived.\" + parentFile + \".tsv.gz \\\n",
    "        ../../wikidata-20210215/derived.P279star.tsv.gz \\\n",
    "        --match 'm: (node1)-[nodeProp]->(node2), \" + parentFile + \": (node2)-[]->(nodex), P279star: (nodex)-[]->(par)' \\\n",
    "        --where 'par in \" + str(parents).replace(\"'\",'\"') + \" \" + exceptionPart + \"' \\\n",
    "        --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`' \\\n",
    "        -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp.tsv \\\n",
    "        --graph-cache ~/sqlite3_caches/valueType_new_\" + str(fCnt) + \".sqlite3.db; \\\n",
    "         kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "        --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp.tsv \\\n",
    "        -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect_temp.tsv ;\\\n",
    "        kgtk --debug query -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect_temp.tsv \\\n",
    "        ../../wikidata-20210215/derived.\" + parentFile + \".tsv.gz \\\n",
    "        --match 'm: (node1)-[nodeProp]->(node2), \" + parentFile + \": (node2)-[]->(par)' \\\n",
    "        --where 'par in \" + str(parents).replace(\"'\",'\"') + \" \" + exceptionPart + \"' \\\n",
    "        --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`' \\\n",
    "        -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp2.tsv \\\n",
    "        --graph-cache ~/sqlite3_caches/valueType_new_\" + str(fCnt) + \".sqlite3.db; \\\n",
    "         kgtk --debug ifnotexists -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect_temp.tsv \\\n",
    "        --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp2.tsv \\\n",
    "        -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect.tsv ; \\\n",
    "         kgtk --debug cat -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp.tsv \\\n",
    "        ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct_temp2.tsv \\\n",
    "        -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct.tsv ; \\\n",
    "        ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/\" + shellFileSuffix + str(fCnt) + \".txt;\\n\")\n",
    "\n",
    "        cnt += 1\n",
    "    except:\n",
    "        print(\"Something failed for prop:\",prop)\n",
    "\n",
    "if fOP:\n",
    "    fOP.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "capable-ballot",
   "metadata": {},
   "outputs": [],
   "source": [
    "!zgrep -P \"Q98970042\\t\" ../../wikidata-20210215/derived.P279star.tsv.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "qualified-cursor",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "897"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "simplified-cameroon",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,9):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplit_WRemoved_Final/checkViolations/valueTypeConstraintValidator_xverify3\"+str(i)+\".sh\")\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "spectacular-warner",
   "metadata": {},
   "source": [
    "### Analyze Violations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "valid-defense",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "0it [00:00, ?it/s]"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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    },
    {
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "valueTypeConstViolations = {}\n",
    "\n",
    "def countLines(fname):\n",
    "    cnt = -1\n",
    "    with open(fname, 'r') as f:\n",
    "        for line in f:\n",
    "            cnt += 1\n",
    "    return cnt\n",
    "\n",
    "valueTypePropList = set()\n",
    "\n",
    "violations = {}\n",
    "\n",
    "for folder in tqdm(iter(['mandatory', 'suggestion', 'normal'])):\n",
    "    valueTypeConstViolations[folder] = {'instanceOf': {'correct': 0, 'incorrect': 0}, 'subclass': {'correct': 0, 'incorrect': 0}, 'instanceOfOrSubclass': {'correct': 0, 'incorrect': 0}, 'propCount':0}\n",
    "    filePath = \"../../allConstraintsAnalysis_WRemoved_Final/valueTypeConstraint/\"+folder+\"/\"\n",
    "    for filename in tqdm(os.listdir(filePath)):\n",
    "        type1 = filename.split(\".\")[2]\n",
    "        prop = filename.split(\".\")[3]\n",
    "        valueTypePropList.add(prop)\n",
    "        correctness = filename.split(\".\")[4]\n",
    "        count1 = countLines(filePath+filename)\n",
    "        if correctness not in ['correct','incorrect']:\n",
    "            continue\n",
    "        valueTypeConstViolations[folder][type1][correctness] += count1\n",
    "        if prop not in violations:\n",
    "            violations[prop] = {'correct': 0, 'incorrect': 0, 'paths': []}\n",
    "        violations[prop][correctness] = count1\n",
    "        violations[prop]['paths'].append(filePath+filename)\n",
    "        if correctness == 'correct':\n",
    "            valueTypeConstViolations[folder]['propCount'] += 1\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "refined-speaking",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "904 properties processed for value type constraint for 191291040 statements\n"
     ]
    }
   ],
   "source": [
    "recordCount = 0\n",
    "for elem in valueTypeConstViolations.keys():\n",
    "    for key1 in valueTypeConstViolations[elem].keys():\n",
    "        try:\n",
    "            recordCount += valueTypeConstViolations[elem][key1]['correct'] + valueTypeConstViolations[elem][key1]['incorrect']\n",
    "        except:\n",
    "            continue\n",
    "print(f\"{len(valueTypePropList)} properties processed for value type constraint for {recordCount} statements\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "designed-christian",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "valTypeConstDF = pd.DataFrame(violations).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "spare-hawaiian",
   "metadata": {},
   "outputs": [],
   "source": [
    "valTypeConstDF['violation_ratio'] = valTypeConstDF.apply(lambda p: p.incorrect / (p.incorrect + p.correct), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "provincial-diploma",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P852</th>\n",
       "      <td>4526</td>\n",
       "      <td>24</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>0.005275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2363</th>\n",
       "      <td>4404</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P7327</th>\n",
       "      <td>187</td>\n",
       "      <td>6</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>0.031088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P853</th>\n",
       "      <td>1600</td>\n",
       "      <td>8</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>0.004975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2302</th>\n",
       "      <td>47918</td>\n",
       "      <td>35</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>0.000730</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P852     4526        24  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P2363    4404         0  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P7327     187         6  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P853     1600         8  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P2302   47918        35  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "\n",
       "       violation_ratio  \n",
       "P852          0.005275  \n",
       "P2363         0.000000  \n",
       "P7327         0.031088  \n",
       "P853          0.004975  \n",
       "P2302         0.000730  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valTypeConstDF.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "neural-trail",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P5008</th>\n",
       "      <td>0</td>\n",
       "      <td>341961</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6104</th>\n",
       "      <td>0</td>\n",
       "      <td>9808</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P7374</th>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3028</th>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2839</th>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3027</th>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P538</th>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2241</th>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4425</th>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6191</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6533</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6534</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P660</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P7174</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8627</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/v...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P5008       0    341961  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P6104       0      9808  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P7374       0        44  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P3028       0        15  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P2839       0        15  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P3027       0        13  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P538        0        10  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P2241       0         6  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P4425       0         6  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P6191       0         5  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P6533       0         5  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P6534       0         5  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P660        0         4  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P7174       0         3  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "P8627       0         2  [../../allConstraintsAnalysis_WRemoved_Final/v...   \n",
       "\n",
       "       violation_ratio  \n",
       "P5008              1.0  \n",
       "P6104              1.0  \n",
       "P7374              1.0  \n",
       "P3028              1.0  \n",
       "P2839              1.0  \n",
       "P3027              1.0  \n",
       "P538               1.0  \n",
       "P2241              1.0  \n",
       "P4425              1.0  \n",
       "P6191              1.0  \n",
       "P6533              1.0  \n",
       "P6534              1.0  \n",
       "P660               1.0  \n",
       "P7174              1.0  \n",
       "P8627              1.0  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valTypeConstDF.sort_values(by=['violation_ratio','incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "cutting-polyester",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    904.000000\n",
       "mean       0.112995\n",
       "std        0.211926\n",
       "min        0.000000\n",
       "25%        0.006362\n",
       "50%        0.024834\n",
       "75%        0.099675\n",
       "max        1.000000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valTypeConstDF['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "alert-receiver",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Value Type Constraint Violation Ratios')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "valTypeConstDF['violation_ratio'].plot.hist(bins=100).set_title(\"Value Type Constraint Violation Ratios\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "italian-motel",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Value Type Constraint Violation Ratios (<=0.04)')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "valTypeConstDF[valTypeConstDF['violation_ratio'] <= 0.04].violation_ratio.plot.hist(bins=100).set_title(\"Value Type Constraint Violation Ratios (<=0.04)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "prescription-ceramic",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of constraints whose violation ratio is greater than mean :0/904\n"
     ]
    }
   ],
   "source": [
    "print(f\"No. of constraints whose violation ratio is greater than mean :{sum(valTypeConstDF['violation_ratio'] >= 3.950680)}/{len(valTypeConstDF)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "tutorial-mineral",
   "metadata": {},
   "outputs": [],
   "source": [
    "for key1 in valueTypeConstViolations.keys():\n",
    "    valueTypeConstViolations[key1]['correct'] = valueTypeConstViolations[key1]['instanceOf']['correct'] + valueTypeConstViolations[key1]['subclass']['correct'] + valueTypeConstViolations[key1]['instanceOfOrSubclass']['correct']\n",
    "    valueTypeConstViolations[key1]['incorrect'] = valueTypeConstViolations[key1]['instanceOf']['incorrect'] + valueTypeConstViolations[key1]['subclass']['incorrect'] + valueTypeConstViolations[key1]['instanceOfOrSubclass']['incorrect']\n",
    "    valueTypeConstViolations[key1]['VR'] = valueTypeConstViolations[key1]['incorrect'] / (valueTypeConstViolations[key1]['correct'] + valueTypeConstViolations[key1]['incorrect'])\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "satellite-concern",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'mandatory': {'instanceOf': {'correct': 11564885, 'incorrect': 30391},\n",
       "  'subclass': {'correct': 55983, 'incorrect': 83},\n",
       "  'instanceOfOrSubclass': {'correct': 13090, 'incorrect': 320},\n",
       "  'propCount': 108,\n",
       "  'correct': 11633958,\n",
       "  'incorrect': 30794,\n",
       "  'VR': 0.0026399189627006217},\n",
       " 'suggestion': {'instanceOf': {'correct': 46189, 'incorrect': 715},\n",
       "  'subclass': {'correct': 127, 'incorrect': 32},\n",
       "  'instanceOfOrSubclass': {'correct': 0, 'incorrect': 0},\n",
       "  'propCount': 5,\n",
       "  'correct': 46316,\n",
       "  'incorrect': 747,\n",
       "  'VR': 0.01587234132970699},\n",
       " 'normal': {'instanceOf': {'correct': 94116782, 'incorrect': 2067912},\n",
       "  'subclass': {'correct': 4674914, 'incorrect': 73885},\n",
       "  'instanceOfOrSubclass': {'correct': 77686563, 'incorrect': 959169},\n",
       "  'propCount': 791,\n",
       "  'correct': 176478259,\n",
       "  'incorrect': 3100966,\n",
       "  'VR': 0.01726795513233783}}"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valueTypeConstViolations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "fabulous-sudan",
   "metadata": {},
   "outputs": [],
   "source": [
    "valTypeConstDF.to_csv('../../allConstraintsAnalysis_WRemoved_Final/valueTypeConstDFAnalysis.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "traditional-shakespeare",
   "metadata": {},
   "source": [
    "### Find out time required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "spoken-symphony",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "codepConstViolations = {}\n",
    "\n",
    "codepConstViolations = {}\n",
    "codepConstPropList = set()\n",
    "\n",
    "def extractTimes(filename):\n",
    "    times = []\n",
    "    with open(filename) as f:\n",
    "        for line in f:\n",
    "            if \"real\" in line:\n",
    "                line = line.strip()\n",
    "                time1 = line.split(\"\\t\")[1]\n",
    "                mins, sec = time1.split(\"m\")\n",
    "                mins = int(mins)\n",
    "                sec = float(sec[:-1])\n",
    "                times.append(60 * mins + sec)\n",
    "    return times\n",
    "\n",
    "# codepConstViolationsSummary = {}\n",
    "times = []\n",
    "filePath = '/data/wd-correctness/propertiesSplit_WRemoved_Final/checkViolations/exec_logs/'\n",
    "for filename in tqdm(os.listdir(filePath)):\n",
    "    if filename.startswith(\"valueTypeConstraintValidator\"):\n",
    "        tempTimes = extractTimes(filePath + filename)\n",
    "        times += tempTimes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "heavy-argentina",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(pd.Series(times).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "organized-mixer",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "sns.lineplot(data=pd.Series(times)).set_title(\"Distribution of times (in s) taken for value type constraint checks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "motivated-sympathy",
   "metadata": {},
   "source": [
    "## Item Requires Statement Constraint\n",
    "\n",
    "Here, the constraint mentions the other properties that node1 must have and the values that this property must have in few cases"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "chubby-glass",
   "metadata": {},
   "source": [
    "### Understand Constraints File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "funny-batch",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import math\n",
    "dfItemRequires = pd.read_csv('../../constraintsOP/itemRequiresConstraint/claims.type-constraints_all.tsv',sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "original-expression",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfItemRequires = dfItemRequires.groupby(['id','node1','label']).node2.apply(lambda p: p.tolist()).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "adequate-symphony",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['P2306', 'P2305', 'P2316', 'P2304', 'P2303', 'P6607', 'P4155',\n",
       "       'P31', 'P2916', 'P4680', 'P2308'], dtype=object)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires['label'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "infrared-canal",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "P2306    7182\n",
       "P2305    2540\n",
       "P2316    2523\n",
       "P2303     422\n",
       "P2304      14\n",
       "P6607      14\n",
       "P2916       5\n",
       "P4680       2\n",
       "P4155       1\n",
       "P31         1\n",
       "P2308       1\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires['label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "focused-karen",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Reference: https://stackoverflow.com/a/17298454\n",
    "dfItemRequires = dfItemRequires.pivot(index=['node1','id'], columns='label', values='node2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "private-boundary",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>P2303</th>\n",
       "      <th>P2304</th>\n",
       "      <th>P2305</th>\n",
       "      <th>P2306</th>\n",
       "      <th>P2308</th>\n",
       "      <th>P2316</th>\n",
       "      <th>P2916</th>\n",
       "      <th>P31</th>\n",
       "      <th>P4155</th>\n",
       "      <th>P4680</th>\n",
       "      <th>P6607</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>node1</th>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th>P1006-P2302-Q21503247-0451ef47-0</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>[P214]</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">P1010</th>\n",
       "      <th>P1010-P2302-Q21503247-56183614-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[P31]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1010-P2302-Q21503247-fd256eaf-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q794]</td>\n",
       "      <td>[P17]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1015</th>\n",
       "      <th>P1015-P2302-Q21503247-20e3bfc5-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[P31]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1017</th>\n",
       "      <th>P1017-P2302-Q21503247-bbac2ce3-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[P214]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "label                                  P2303 P2304   P2305   P2306 P2308  \\\n",
       "node1 id                                                                   \n",
       "P1006 P1006-P2302-Q21503247-0451ef47-0   NaN   NaN     NaN  [P214]   NaN   \n",
       "P1010 P1010-P2302-Q21503247-56183614-0   NaN   NaN     NaN   [P31]   NaN   \n",
       "      P1010-P2302-Q21503247-fd256eaf-0   NaN   NaN  [Q794]   [P17]   NaN   \n",
       "P1015 P1015-P2302-Q21503247-20e3bfc5-0   NaN   NaN     NaN   [P31]   NaN   \n",
       "P1017 P1017-P2302-Q21503247-bbac2ce3-0   NaN   NaN     NaN  [P214]   NaN   \n",
       "\n",
       "label                                         P2316 P2916  P31 P4155 P4680  \\\n",
       "node1 id                                                                     \n",
       "P1006 P1006-P2302-Q21503247-0451ef47-0          NaN   NaN  NaN   NaN   NaN   \n",
       "P1010 P1010-P2302-Q21503247-56183614-0          NaN   NaN  NaN   NaN   NaN   \n",
       "      P1010-P2302-Q21503247-fd256eaf-0  [Q21502408]   NaN  NaN   NaN   NaN   \n",
       "P1015 P1015-P2302-Q21503247-20e3bfc5-0          NaN   NaN  NaN   NaN   NaN   \n",
       "P1017 P1017-P2302-Q21503247-bbac2ce3-0          NaN   NaN  NaN   NaN   NaN   \n",
       "\n",
       "label                                  P6607  \n",
       "node1 id                                      \n",
       "P1006 P1006-P2302-Q21503247-0451ef47-0   NaN  \n",
       "P1010 P1010-P2302-Q21503247-56183614-0   NaN  \n",
       "      P1010-P2302-Q21503247-fd256eaf-0   NaN  \n",
       "P1015 P1015-P2302-Q21503247-20e3bfc5-0   NaN  \n",
       "P1017 P1017-P2302-Q21503247-bbac2ce3-0   NaN  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "conceptual-schedule",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfItemRequires = dfItemRequires.droplevel(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "third-hayes",
   "metadata": {},
   "outputs": [
    {
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       "      <th>P1006</th>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>P1015</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[P31]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>P1017</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[P214]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "label P2303 P2304   P2305   P2306 P2308        P2316 P2916  P31 P4155 P4680  \\\n",
       "node1                                                                         \n",
       "P1006   NaN   NaN     NaN  [P214]   NaN          NaN   NaN  NaN   NaN   NaN   \n",
       "P1010   NaN   NaN     NaN   [P31]   NaN          NaN   NaN  NaN   NaN   NaN   \n",
       "P1010   NaN   NaN  [Q794]   [P17]   NaN  [Q21502408]   NaN  NaN   NaN   NaN   \n",
       "P1015   NaN   NaN     NaN   [P31]   NaN          NaN   NaN  NaN   NaN   NaN   \n",
       "P1017   NaN   NaN     NaN  [P214]   NaN          NaN   NaN  NaN   NaN   NaN   \n",
       "\n",
       "label P6607  \n",
       "node1        \n",
       "P1006   NaN  \n",
       "P1010   NaN  \n",
       "P1010   NaN  \n",
       "P1015   NaN  \n",
       "P1017   NaN  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "shaped-companion",
   "metadata": {},
   "source": [
    "However, there is one anomaly where the property does not have a co-dependency constraint associated with it, but still has a link to this constraint."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "indian-journal",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P5447</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q55426051]</td>\n",
       "      <td>[P5446]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q46466783]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5448</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q55426051]</td>\n",
       "      <td>[P5446]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q46466783]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "label P2303 P2304        P2305    P2306 P2308 P2316 P2916  P31 P4155  \\\n",
       "node1                                                                  \n",
       "P5447   NaN   NaN  [Q55426051]  [P5446]   NaN   NaN   NaN  NaN   NaN   \n",
       "P5448   NaN   NaN  [Q55426051]  [P5446]   NaN   NaN   NaN  NaN   NaN   \n",
       "\n",
       "label        P4680 P6607  \n",
       "node1                     \n",
       "P5447  [Q46466783]   NaN  \n",
       "P5448  [Q46466783]   NaN  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires[dfItemRequires['P4680'].apply(lambda p: type(p) == list)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "discrete-template",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>label</th>\n",
       "      <th>P2303</th>\n",
       "      <th>P2304</th>\n",
       "      <th>P2305</th>\n",
       "      <th>P2306</th>\n",
       "      <th>P2308</th>\n",
       "      <th>P2316</th>\n",
       "      <th>P2916</th>\n",
       "      <th>P31</th>\n",
       "      <th>P4155</th>\n",
       "      <th>P4680</th>\n",
       "      <th>P6607</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>node1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1010</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q794]</td>\n",
       "      <td>[P17]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1045</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q20808382, Q28218485, Q3044918]</td>\n",
       "      <td>[P39]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1045</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q82955]</td>\n",
       "      <td>[P106]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1045</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q5]</td>\n",
       "      <td>[P31]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1045</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q142, Q71084]</td>\n",
       "      <td>[P27]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P980</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q34]</td>\n",
       "      <td>[P17]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P981</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q55]</td>\n",
       "      <td>[P17]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P981</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q1852859]</td>\n",
       "      <td>[P31]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P988</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q928]</td>\n",
       "      <td>[P17]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P990</th>\n",
       "      <td>[Q49678, Q853715]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q5]</td>\n",
       "      <td>[P31]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2540 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "label              P2303 P2304                             P2305   P2306  \\\n",
       "node1                                                                      \n",
       "P1010                NaN   NaN                            [Q794]   [P17]   \n",
       "P1045                NaN   NaN  [Q20808382, Q28218485, Q3044918]   [P39]   \n",
       "P1045                NaN   NaN                          [Q82955]  [P106]   \n",
       "P1045                NaN   NaN                              [Q5]   [P31]   \n",
       "P1045                NaN   NaN                    [Q142, Q71084]   [P27]   \n",
       "...                  ...   ...                               ...     ...   \n",
       "P980                 NaN   NaN                             [Q34]   [P17]   \n",
       "P981                 NaN   NaN                             [Q55]   [P17]   \n",
       "P981                 NaN   NaN                        [Q1852859]   [P31]   \n",
       "P988                 NaN   NaN                            [Q928]   [P17]   \n",
       "P990   [Q49678, Q853715]   NaN                              [Q5]   [P31]   \n",
       "\n",
       "label P2308        P2316 P2916  P31 P4155 P4680 P6607  \n",
       "node1                                                  \n",
       "P1010   NaN  [Q21502408]   NaN  NaN   NaN   NaN   NaN  \n",
       "P1045   NaN          NaN   NaN  NaN   NaN   NaN   NaN  \n",
       "P1045   NaN          NaN   NaN  NaN   NaN   NaN   NaN  \n",
       "P1045   NaN  [Q21502408]   NaN  NaN   NaN   NaN   NaN  \n",
       "P1045   NaN          NaN   NaN  NaN   NaN   NaN   NaN  \n",
       "...     ...          ...   ...  ...   ...   ...   ...  \n",
       "P980    NaN  [Q21502408]   NaN  NaN   NaN   NaN   NaN  \n",
       "P981    NaN  [Q21502408]   NaN  NaN   NaN   NaN   NaN  \n",
       "P981    NaN          NaN   NaN  NaN   NaN   NaN   NaN  \n",
       "P988    NaN  [Q21502408]   NaN  NaN   NaN   NaN   NaN  \n",
       "P990    NaN          NaN   NaN  NaN   NaN   NaN   NaN  \n",
       "\n",
       "[2540 rows x 11 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires[dfItemRequires['P2305'].apply(lambda p: type(p) == list)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "forced-christmas",
   "metadata": {},
   "source": [
    "### Query Generator"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acquired-floor",
   "metadata": {},
   "source": [
    "#### Version 1 - Mandatory + Suggestion + Normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "turkish-establishment",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3147 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File: ../../propertiesSplit_WRemoved_Final/claims.P345.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2604.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1566.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1566.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2355.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P3350.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1014.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2636.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1771.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2755.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8326.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P5128.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1627.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P954.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P498.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1297.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8680.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P715.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2606.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8303.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1874.tsv does not exist\n"
     ]
    }
   ],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import os.path\n",
    "import os\n",
    "\n",
    "cnt = 0\n",
    "fCnt = 0\n",
    "\n",
    "fOP = None\n",
    "\n",
    "folderName = 'codependencyConstraint'\n",
    "subFolderName = \"Mand_Sugg_Normal\"\n",
    "shellFileSuffix = 'codepConst_MSN_Validator'\n",
    "graph_cache_file_prefix = \"cache_new_11_\"\n",
    "\n",
    "for prop in tqdm(dfItemRequires.index.unique()):\n",
    "#     try:\n",
    "        mandatory = []\n",
    "        suggestion = []\n",
    "        normal = []\n",
    "        prop = str(prop)\n",
    "        \n",
    "        for _, constraint in dfItemRequires.loc[[prop]].iterrows():\n",
    "            if type(constraint['P2316']) == list:\n",
    "                if constraint['P2316'][0] == 'Q21502408':\n",
    "                    mandatory.append(constraint)\n",
    "                elif constraint['P2316'][0] == 'Q62026391':\n",
    "                    suggestion.append(constraint)\n",
    "            else:\n",
    "                normal.append(constraint)\n",
    "        \n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        commandInit = \"{ time ( kgtk --debug query -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \"\n",
    "        commandOtherFiles = \"\"\n",
    "        commandMatch = \"--match '\"\n",
    "        commandMatchMoreFiles = [f\"{prop}: (node1)-[nodeProp]->(node2)\"]\n",
    "        commandWhere = \" --where '\"\n",
    "        commandWhere = []\n",
    "        \n",
    "        # Version 1 <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n",
    "        constSet = mandatory + suggestion + normal\n",
    "        \n",
    "        if len(constSet) == 0:\n",
    "            continue\n",
    "        excptns = set()\n",
    "        for (rowNo, constraint) in enumerate(constSet):\n",
    "            prop2 = constraint['P2306']\n",
    "            \n",
    "            if type(prop2) != list:\n",
    "                continue\n",
    "            prop2 = prop2[0]\n",
    "                \n",
    "            if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv\")):\n",
    "                print(f\"File: ../../propertiesSplit_WRemoved_Final/claims.{prop2}.tsv does not exist\")\n",
    "                continue\n",
    "            \n",
    "            commandOtherFiles += \"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv \"\n",
    "            if type(constraint['P2303']) == list: # Exceptions present\n",
    "                if len(excptns) == 0:\n",
    "                    excptns = set(constraint['P2303'])\n",
    "                else:\n",
    "                    excptns = excptns.intersection(set(constraint['P2303']))\n",
    "            if type(constraint['P2305']) == list:\n",
    "                commandMatchMoreFiles += [f\"{prop2}: (node1)-[]->(node2_{prop2})\"]\n",
    "                commandWhere += [\"node2_\" + prop2 + \" in \" + str(list(constraint['P2305'])).replace(\"'\",'\"')]\n",
    "            else:\n",
    "                commandMatchMoreFiles += [f\"{prop2}: (node1)-[]->()\"]\n",
    "#         print(commandMatchMoreFiles)\n",
    "        if len(commandWhere) == 0:\n",
    "            command = commandInit + commandOtherFiles + commandMatch + (\", \".join(commandMatchMoreFiles)) + \"'\"\n",
    "        else:\n",
    "            command = commandInit + commandOtherFiles + commandMatch + (\", \".join(commandMatchMoreFiles)) + \"'\" + \" --where '\"+(\" and \".join(commandWhere))+\"'\"\n",
    "        \n",
    "        if cnt % 60 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplit_WRemoved_Final/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "        \n",
    "        if len(excptns) == 0:\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/timeLog_\" + shellFileSuffix + str(fCnt) + \".txt;\\n\"\n",
    "            fOP.write(command)\n",
    "        else:\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect_wo_exceptions.tsv\\n\"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug query -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "                    --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug ifnotexists -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/timeLog_\" + shellFileSuffix + str(fCnt) + \".txt; \\n\"\n",
    "            fOP.write(command)\n",
    "        \n",
    "        \n",
    "        cnt += 1\n",
    "#     except:\n",
    "#         print(\"Something failed for prop:\",prop)\n",
    "if fOP:\n",
    "    fOP.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "peripheral-herald",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "534"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "incorporated-logistics",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fCnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "optimum-blowing",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,28):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplit_WRemoved_Final/checkViolations/codepConst_MSN_Validator\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "indoor-verse",
   "metadata": {},
   "source": [
    "#### Version 2 - Mandatory + Normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "furnished-paradise",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3147 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File: ../../propertiesSplit_WRemoved_Final/claims.P345.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2604.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1566.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2355.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1014.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2636.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1771.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2755.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8326.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1627.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P954.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P498.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1297.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8680.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P715.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2606.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8303.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1874.tsv does not exist\n"
     ]
    }
   ],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import os.path\n",
    "import os\n",
    "\n",
    "cnt = 0\n",
    "fCnt = 0\n",
    "\n",
    "fOP = None\n",
    "\n",
    "folderName = 'codependencyConstraint'\n",
    "subFolderName = \"Mand_Normal\"\n",
    "shellFileSuffix = 'codepConst_MN_Validator'\n",
    "graph_cache_file_prefix = \"cache_new_22_\"\n",
    "\n",
    "for prop in tqdm(dfItemRequires.index.unique()):\n",
    "#     try:\n",
    "        mandatory = []\n",
    "        suggestion = []\n",
    "        normal = []\n",
    "        prop = str(prop)\n",
    "        \n",
    "        for _, constraint in dfItemRequires.loc[[prop]].iterrows():\n",
    "            if type(constraint['P2316']) == list:\n",
    "                if constraint['P2316'][0] == 'Q21502408':\n",
    "                    mandatory.append(constraint)\n",
    "                elif constraint['P2316'][0] == 'Q62026391':\n",
    "                    suggestion.append(constraint)\n",
    "            else:\n",
    "                normal.append(constraint)\n",
    "        \n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        commandInit = \"{ time ( kgtk --debug query -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \"\n",
    "        commandOtherFiles = \"\"\n",
    "        commandMatch = \"--match '\"\n",
    "        commandMatchMoreFiles = [f\"{prop}: (node1)-[nodeProp]->(node2)\"]\n",
    "        commandWhere = \" --where '\"\n",
    "        commandWhere = []\n",
    "        \n",
    "        # Version 1 <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n",
    "        constSet = mandatory + normal\n",
    "        \n",
    "        if len(constSet) == 0:\n",
    "            continue\n",
    "        excptns = set()\n",
    "        for (rowNo, constraint) in enumerate(constSet):\n",
    "            prop2 = constraint['P2306']\n",
    "            \n",
    "            if type(prop2) != list:\n",
    "                continue\n",
    "            prop2 = prop2[0]\n",
    "                \n",
    "            if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv\")):\n",
    "                print(f\"File: ../../propertiesSplit_WRemoved_Final/claims.{prop2}.tsv does not exist\")\n",
    "                continue\n",
    "            \n",
    "            commandOtherFiles += \"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv \"\n",
    "            if type(constraint['P2303']) == list: # Exceptions present\n",
    "                if len(excptns) == 0:\n",
    "                    excptns = set(constraint['P2303'])\n",
    "                else:\n",
    "                    excptns = excptns.intersection(set(constraint['P2303']))\n",
    "            if type(constraint['P2305']) == list:\n",
    "                commandMatchMoreFiles += [f\"{prop2}: (node1)-[]->(node2_{prop2})\"]\n",
    "                commandWhere += [\"node2_\" + prop2 + \" in \" + str(list(constraint['P2305'])).replace(\"'\",'\"')]\n",
    "            else:\n",
    "                commandMatchMoreFiles += [f\"{prop2}: (node1)-[]->()\"]\n",
    "#         print(commandMatchMoreFiles)\n",
    "        if len(commandWhere) == 0:\n",
    "            command = commandInit + commandOtherFiles + commandMatch + (\", \".join(commandMatchMoreFiles)) + \"'\"\n",
    "        else:\n",
    "            command = commandInit + commandOtherFiles + commandMatch + (\", \".join(commandMatchMoreFiles)) + \"'\" + \" --where '\"+(\" and \".join(commandWhere))+\"'\"\n",
    "        \n",
    "        if cnt % 60 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplit_WRemoved_Final/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "        \n",
    "        if len(excptns) == 0:\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/timeLog_\" + shellFileSuffix + str(fCnt) + \".txt;\\n\"\n",
    "            fOP.write(command)\n",
    "        else:\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect_wo_exceptions.tsv\\n\"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug query -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "                    --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug ifnotexists -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/timeLog_\" + shellFileSuffix + str(fCnt) + \".txt; \\n\"\n",
    "            fOP.write(command)\n",
    "        \n",
    "        \n",
    "        cnt += 1\n",
    "#     except:\n",
    "#         print(\"Something failed for prop:\",prop)\n",
    "if fOP:\n",
    "    fOP.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "searching-individual",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "475"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "silver-clarity",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,25):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplit_WRemoved_Final/checkViolations/codepConst_MN_Validator\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "prescription-access",
   "metadata": {},
   "source": [
    "#### Version 3 - Mandatory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "married-porter",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3147 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1627.tsv does not exist\n"
     ]
    }
   ],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import os.path\n",
    "import os\n",
    "\n",
    "cnt = 0\n",
    "fCnt = 0\n",
    "\n",
    "folderName = 'codependencyConstraint'\n",
    "subFolderName = \"Mand\"\n",
    "shellFileSuffix = 'codepConst_M_Validator'\n",
    "graph_cache_file_prefix = \"cache_33_new_\"\n",
    "\n",
    "for prop in tqdm(dfItemRequires.index.unique()):\n",
    "#     try:\n",
    "        mandatory = []\n",
    "        suggestion = []\n",
    "        normal = []\n",
    "        prop = str(prop)\n",
    "        \n",
    "        for _, constraint in dfItemRequires.loc[[prop]].iterrows():\n",
    "            if type(constraint['P2316']) == list:\n",
    "                if constraint['P2316'][0] == 'Q21502408':\n",
    "                    mandatory.append(constraint)\n",
    "                elif constraint['P2316'][0] == 'Q62026391':\n",
    "                    suggestion.append(constraint)\n",
    "            else:\n",
    "                normal.append(constraint)\n",
    "        \n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        commandInit = \"{ time ( kgtk --debug query -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \"\n",
    "        commandOtherFiles = \"\"\n",
    "        commandMatch = \"--match '\"\n",
    "        commandMatchMoreFiles = [f\"{prop}: (node1)-[nodeProp]->(node2)\"]\n",
    "        commandWhere = \" --where '\"\n",
    "        commandWhere = []\n",
    "        \n",
    "        # Version 1 <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n",
    "        constSet = mandatory\n",
    "        \n",
    "        if len(constSet) == 0:\n",
    "            continue\n",
    "        excptns = set()\n",
    "        for (rowNo, constraint) in enumerate(constSet):\n",
    "            prop2 = constraint['P2306']\n",
    "            \n",
    "            if type(prop2) != list:\n",
    "                continue\n",
    "            prop2 = prop2[0]\n",
    "                \n",
    "            if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv\")):\n",
    "                print(f\"File: ../../propertiesSplit_WRemoved_Final/claims.{prop2}.tsv does not exist\")\n",
    "                continue\n",
    "            \n",
    "            commandOtherFiles += \"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv \"\n",
    "            if type(constraint['P2303']) == list: # Exceptions present\n",
    "                if len(excptns) == 0:\n",
    "                    excptns = set(constraint['P2303'])\n",
    "                else:\n",
    "                    excptns = excptns.intersection(set(constraint['P2303']))\n",
    "            if type(constraint['P2305']) == list:\n",
    "                commandMatchMoreFiles += [f\"{prop2}: (node1)-[]->(node2_{prop2})\"]\n",
    "                commandWhere += [\"node2_\" + prop2 + \" in \" + str(list(constraint['P2305'])).replace(\"'\",'\"')]\n",
    "            else:\n",
    "                commandMatchMoreFiles += [f\"{prop2}: (node1)-[]->()\"]\n",
    "#         print(commandMatchMoreFiles)\n",
    "        if len(commandWhere) == 0:\n",
    "            command = commandInit + commandOtherFiles + commandMatch + (\", \".join(commandMatchMoreFiles)) + \"'\"\n",
    "        else:\n",
    "            command = commandInit + commandOtherFiles + commandMatch + (\", \".join(commandMatchMoreFiles)) + \"'\" + \" --where '\"+(\" and \".join(commandWhere))+\"'\"\n",
    "        \n",
    "        if cnt % 60 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplit_WRemoved_Final/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "        \n",
    "        if len(excptns) == 0:\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/timeLog_\" + shellFileSuffix + str(fCnt) + \".txt;\\n\"\n",
    "            fOP.write(command)\n",
    "        else:\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect_wo_exceptions.tsv\\n\"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug query -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "                    --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug ifnotexists -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/timeLog_\" + shellFileSuffix + str(fCnt) + \".txt; \\n\"\n",
    "            fOP.write(command)\n",
    "        \n",
    "        \n",
    "        cnt += 1\n",
    "#     except:\n",
    "#         print(\"Something failed for prop:\",prop)\n",
    "if fOP:\n",
    "    fOP.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "according-blackberry",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "79"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "extraordinary-drawing",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,5):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplit_WRemoved_Final/checkViolations/codepConst_M_Validator\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "subsequent-brown",
   "metadata": {},
   "source": [
    "#### Version 4 - Normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "operational-migration",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3147 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File: ../../propertiesSplit_WRemoved_Final/claims.P345.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2604.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1566.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2355.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1014.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2636.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1771.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2755.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8326.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P954.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P498.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1297.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8680.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P715.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2606.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8303.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1874.tsv does not exist\n"
     ]
    }
   ],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import os.path\n",
    "import os\n",
    "\n",
    "cnt = 0\n",
    "fCnt = 0\n",
    "\n",
    "fOP = None\n",
    "\n",
    "folderName = 'codependencyConstraint'\n",
    "subFolderName = \"Normal\"\n",
    "shellFileSuffix = 'codepConst_N_Validator'\n",
    "graph_cache_file_prefix = \"cache_44_new_\"\n",
    "\n",
    "for prop in tqdm(dfItemRequires.index.unique()):\n",
    "#     try:\n",
    "        mandatory = []\n",
    "        suggestion = []\n",
    "        normal = []\n",
    "        prop = str(prop)\n",
    "        \n",
    "        for _, constraint in dfItemRequires.loc[[prop]].iterrows():\n",
    "            if type(constraint['P2316']) == list:\n",
    "                if constraint['P2316'][0] == 'Q21502408':\n",
    "                    mandatory.append(constraint)\n",
    "                elif constraint['P2316'][0] == 'Q62026391':\n",
    "                    suggestion.append(constraint)\n",
    "            else:\n",
    "                normal.append(constraint)\n",
    "        \n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        commandInit = \"{ time ( kgtk --debug query -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \"\n",
    "        commandOtherFiles = \"\"\n",
    "        commandMatch = \"--match '\"\n",
    "        commandMatchMoreFiles = [f\"{prop}: (node1)-[nodeProp]->(node2)\"]\n",
    "        commandWhere = \" --where '\"\n",
    "        commandWhere = []\n",
    "        \n",
    "        # Version 1 <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n",
    "        constSet = normal\n",
    "        \n",
    "        if len(constSet) == 0:\n",
    "            continue\n",
    "        excptns = set()\n",
    "        for (rowNo, constraint) in enumerate(constSet):\n",
    "            prop2 = constraint['P2306']\n",
    "            \n",
    "            if type(prop2) != list:\n",
    "                continue\n",
    "            prop2 = prop2[0]\n",
    "                \n",
    "            if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv\")):\n",
    "                print(f\"File: ../../propertiesSplit_WRemoved_Final/claims.{prop2}.tsv does not exist\")\n",
    "                continue\n",
    "            \n",
    "            commandOtherFiles += \"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv \"\n",
    "            if type(constraint['P2303']) == list: # Exceptions present\n",
    "                if len(excptns) == 0:\n",
    "                    excptns = set(constraint['P2303'])\n",
    "                else:\n",
    "                    excptns = excptns.intersection(set(constraint['P2303']))\n",
    "            if type(constraint['P2305']) == list:\n",
    "                commandMatchMoreFiles += [f\"{prop2}: (node1)-[]->(node2_{prop2})\"]\n",
    "                commandWhere += [\"node2_\" + prop2 + \" in \" + str(list(constraint['P2305'])).replace(\"'\",'\"')]\n",
    "            else:\n",
    "                commandMatchMoreFiles += [f\"{prop2}: (node1)-[]->()\"]\n",
    "#         print(commandMatchMoreFiles)\n",
    "        if len(commandWhere) == 0:\n",
    "            command = commandInit + commandOtherFiles + commandMatch + (\", \".join(commandMatchMoreFiles)) + \"'\"\n",
    "        else:\n",
    "            command = commandInit + commandOtherFiles + commandMatch + (\", \".join(commandMatchMoreFiles)) + \"'\" + \" --where '\"+(\" and \".join(commandWhere))+\"'\"\n",
    "        \n",
    "        if cnt % 60 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplit_WRemoved_Final/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "        \n",
    "        if len(excptns) == 0:\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/timeLog_\" + shellFileSuffix + str(fCnt) + \".txt;\\n\"\n",
    "            fOP.write(command)\n",
    "        else:\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect_wo_exceptions.tsv\\n\"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug query -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "                    --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug ifnotexists -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv\\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/timeLog_\" + shellFileSuffix + str(fCnt) + \".txt; \\n\"\n",
    "            fOP.write(command)\n",
    "        \n",
    "        \n",
    "        cnt += 1\n",
    "#     except:\n",
    "#         print(\"Something failed for prop:\",prop)\n",
    "if fOP:\n",
    "    fOP.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "harmful-binary",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "424"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "advance-married",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,23):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplit_WRemoved_Final/checkViolations/codepConst_N_Validator\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ranging-journal",
   "metadata": {},
   "source": [
    "#### Version 5 - Suggestion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "missing-jordan",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3147 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1566.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P3350.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P5128.tsv does not exist\n"
     ]
    }
   ],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import os.path\n",
    "import os\n",
    "\n",
    "cnt = 0\n",
    "fCnt = 0\n",
    "\n",
    "folderName = 'codependencyConstraint'\n",
    "subFolderName = \"Suggestion\"\n",
    "shellFileSuffix = 'codepConst_S_Validator'\n",
    "graph_cache_file_prefix = \"codep_new_66_1_\"\n",
    "\n",
    "fOP = None\n",
    "\n",
    "for prop in tqdm(dfItemRequires.index.unique()):\n",
    "#     try:\n",
    "        mandatory = []\n",
    "        suggestion = []\n",
    "        normal = []\n",
    "        prop = str(prop)\n",
    "        \n",
    "        for _, constraint in dfItemRequires.loc[[prop]].iterrows():\n",
    "            if type(constraint['P2316']) == list:\n",
    "                if constraint['P2316'][0] == 'Q21502408':\n",
    "                    mandatory.append(constraint)\n",
    "                elif constraint['P2316'][0] == 'Q62026391':\n",
    "                    suggestion.append(constraint)\n",
    "            else:\n",
    "                normal.append(constraint)\n",
    "        \n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        commandInit = \"{ time ( kgtk --debug query -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \"\n",
    "        commandOtherFiles = \"\"\n",
    "        commandMatch = \"--match '\"\n",
    "        commandMatchMoreFiles = [f\"{prop}: (node1)-[nodeProp]->(node2)\"]\n",
    "        commandWhere = \" --where '\"\n",
    "        commandWhere = []\n",
    "        \n",
    "        # Version 1 <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n",
    "        constSet = suggestion\n",
    "        \n",
    "        if len(constSet) == 0:\n",
    "            continue\n",
    "        excptns = set()\n",
    "        for (rowNo, constraint) in enumerate(constSet):\n",
    "            prop2 = constraint['P2306']\n",
    "            \n",
    "            if type(prop2) != list:\n",
    "                continue\n",
    "            prop2 = prop2[0]\n",
    "                \n",
    "            if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv\")):\n",
    "                print(f\"File: ../../propertiesSplit_WRemoved_Final/claims.{prop2}.tsv does not exist\")\n",
    "                continue\n",
    "            \n",
    "            commandOtherFiles += \"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv \"\n",
    "            if type(constraint['P2303']) == list: # Exceptions present\n",
    "                if len(excptns) == 0:\n",
    "                    excptns = set(constraint['P2303'])\n",
    "                else:\n",
    "                    excptns = excptns.intersection(set(constraint['P2303']))\n",
    "            if type(constraint['P2305']) == list:\n",
    "                commandMatchMoreFiles += [f\"{prop2}: (node1)-[]->(node2_{prop2})\"]\n",
    "                commandWhere += [\"node2_\" + prop2 + \" in \" + str(list(constraint['P2305'])).replace(\"'\",'\"')]\n",
    "            else:\n",
    "                commandMatchMoreFiles += [f\"{prop2}: (node1)-[]->()\"]\n",
    "#         print(commandMatchMoreFiles)\n",
    "        if len(commandWhere) == 0:\n",
    "            command = commandInit + commandOtherFiles + commandMatch + (\", \".join(commandMatchMoreFiles)) + \"'\"\n",
    "        else:\n",
    "            command = commandInit + commandOtherFiles + commandMatch + (\", \".join(commandMatchMoreFiles)) + \"'\" + \" --where '\"+(\" and \".join(commandWhere))+\"'\"\n",
    "        \n",
    "        if cnt % 60 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplit_WRemoved_Final/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "        \n",
    "        if len(excptns) == 0:\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/timeLog_\" + shellFileSuffix + str(fCnt) + \".txt;\\n\"\n",
    "            fOP.write(command)\n",
    "        else:\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect_wo_exceptions.tsv\\n\"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug query -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "                    --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug ifnotexists -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/timeLog_\" + shellFileSuffix + str(fCnt) + \".txt; \\n\"\n",
    "            fOP.write(command)\n",
    "        \n",
    "        \n",
    "        cnt += 1\n",
    "#     except:\n",
    "#         print(\"Something failed for prop:\",prop)\n",
    "if fOP:\n",
    "    fOP.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "soviet-forth",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "97"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "racial-stationery",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,6):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplit_WRemoved_Final/checkViolations/codepConst_S_Validator\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "homeless-pleasure",
   "metadata": {},
   "source": [
    "### Analyze Violations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "welcome-dependence",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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      },
      "text/plain": [
       "  0%|          | 0/1206 [00:00<?, ?it/s]"
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     },
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    {
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "codepConstViolations = {}\n",
    "\n",
    "def countLines(fname):\n",
    "    cnt = -1\n",
    "    with open(fname, 'r') as f:\n",
    "        for line in f:\n",
    "            cnt += 1\n",
    "    return cnt\n",
    "\n",
    "codepConstViolations = {}\n",
    "codepConstPropList = set()\n",
    "\n",
    "# codepConstViolationsSummary = {}\n",
    "\n",
    "for folder in tqdm(iter(['Mand_Sugg_Normal', 'Mand_Normal', 'Mand', 'Normal','Suggestion'])):\n",
    "    filePath = \"../../allConstraintsAnalysis_WRemoved_Final/codependencyConstraint/\"+folder+\"/\"\n",
    "    for filename in tqdm(os.listdir(filePath)):\n",
    "        prop = filename.split(\".\")[1]\n",
    "        correctness = filename.split(\".\")[2]\n",
    "        if correctness not in ['correct','incorrect']:\n",
    "            continue\n",
    "        codepConstPropList.add(prop)\n",
    "        count1 = countLines(filePath+filename)\n",
    "        if folder not in codepConstViolations:\n",
    "            codepConstViolations[folder] = {}\n",
    "        if prop not in codepConstViolations[folder]:\n",
    "            codepConstViolations[folder][prop] = {'correct': 0, 'incorrect': 0, 'paths': []}\n",
    "        codepConstViolations[folder][prop][correctness] = count1\n",
    "        codepConstViolations[folder][prop]['paths'].append(filePath+filename)\n",
    "        \n",
    "#         if folder not in codepConstViolationsSummary:\n",
    "#             codepConstViolationsSummary[folder] = {'correct': 0, 'incorrect': 0}\n",
    "#         codepConstViolationsSummary[folder][correctness] += count1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "heated-astrology",
   "metadata": {},
   "outputs": [],
   "source": [
    "codepConstViolationsSummary = {}\n",
    "for folder in codepConstViolations.keys():\n",
    "    for prop in codepConstViolations[folder].keys():\n",
    "        if folder not in codepConstViolationsSummary:\n",
    "            codepConstViolationsSummary[folder] = {'correct': 0, 'incorrect': 0, 'propCount': 0}\n",
    "        codepConstViolationsSummary[folder]['correct'] += codepConstViolations[folder][prop]['correct']\n",
    "        codepConstViolationsSummary[folder]['incorrect'] += codepConstViolations[folder][prop]['incorrect']\n",
    "        codepConstViolationsSummary[folder]['propCount'] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "grateful-catalog",
   "metadata": {},
   "outputs": [],
   "source": [
    "for elem in codepConstViolationsSummary.keys():\n",
    "    codepConstViolationsSummary[elem]['total'] = codepConstViolationsSummary[elem]['correct'] + codepConstViolationsSummary[elem]['incorrect']\n",
    "    codepConstViolationsSummary[elem]['percIncorrect'] = codepConstViolationsSummary[elem]['incorrect'] / codepConstViolationsSummary[elem]['total'] * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "physical-soviet",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Mand_Sugg_Normal': {'correct': 308616510,\n",
       "  'incorrect': 4841535,\n",
       "  'propCount': 534,\n",
       "  'total': 313458045,\n",
       "  'percIncorrect': 1.5445559867509542},\n",
       " 'Mand_Normal': {'correct': 278310708,\n",
       "  'incorrect': 2445456,\n",
       "  'propCount': 475,\n",
       "  'total': 280756164,\n",
       "  'percIncorrect': 0.871024865548455},\n",
       " 'Mand': {'correct': 5257741,\n",
       "  'incorrect': 5434,\n",
       "  'propCount': 79,\n",
       "  'total': 5263175,\n",
       "  'percIncorrect': 0.10324566445159053},\n",
       " 'Normal': {'correct': 277367943,\n",
       "  'incorrect': 2440290,\n",
       "  'propCount': 424,\n",
       "  'total': 279808233,\n",
       "  'percIncorrect': 0.8721294487428467},\n",
       " 'Suggestion': {'correct': 31544215,\n",
       "  'incorrect': 2430724,\n",
       "  'propCount': 97,\n",
       "  'total': 33974939,\n",
       "  'percIncorrect': 7.154461704846622}}"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstViolationsSummary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "permanent-triumph",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4b1469c77f5d4e0e9af565568f37fe1d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3147 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File: ../../propertiesSplit_WRemoved_Final/claims.P345.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2604.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1566.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1566.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2355.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P3350.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1014.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2636.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1771.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2755.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8326.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P5128.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1627.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P954.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P498.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1297.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8680.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P715.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P2606.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P8303.tsv does not exist\n",
      "File: ../../propertiesSplit_WRemoved_Final/claims.P1874.tsv does not exist\n"
     ]
    }
   ],
   "source": [
    "mandatoryPropCount = 0\n",
    "suggestionPropCount = 0\n",
    "normalPropCount = 0\n",
    "for prop in tqdm(dfItemRequires.index.unique()):\n",
    "    if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv\")):\n",
    "        continue\n",
    "    prop = str(prop)\n",
    "    hasMandatory = False\n",
    "    hasSuggestion = False\n",
    "    hasNormal = False\n",
    "\n",
    "    for _, constraint in dfItemRequires.loc[[prop]].iterrows():\n",
    "        prop2 = constraint['P2306']\n",
    "            \n",
    "        if type(prop2) != list:\n",
    "            continue\n",
    "        prop2 = prop2[0]\n",
    "\n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv\")):\n",
    "            print(f\"File: ../../propertiesSplit_WRemoved_Final/claims.{prop2}.tsv does not exist\")\n",
    "            continue\n",
    "            \n",
    "        if type(constraint['P2316']) == list:\n",
    "            if constraint['P2316'][0] == 'Q21502408':\n",
    "                hasMandatory = True\n",
    "            elif constraint['P2316'][0] == 'Q62026391':\n",
    "                hasSuggestion = True\n",
    "        else:\n",
    "            hasNormal = True\n",
    "    if hasMandatory:\n",
    "        mandatoryPropCount += 1\n",
    "    if hasSuggestion:\n",
    "        suggestionPropCount += 1\n",
    "    if hasNormal:\n",
    "        normalPropCount += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "boring-tooth",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of props having at least 1 mandatory constraint: 77\n",
      "No. of props having at least 1 suggestion constraint: 95\n",
      "No. of props having at least 1 normal constraint: 414\n"
     ]
    }
   ],
   "source": [
    "print(f\"No. of props having at least 1 mandatory constraint: {mandatoryPropCount}\")\n",
    "print(f\"No. of props having at least 1 suggestion constraint: {suggestionPropCount}\")\n",
    "print(f\"No. of props having at least 1 normal constraint: {normalPropCount}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "loving-double",
   "metadata": {},
   "source": [
    "#### Version 1 - Mand Sugg Normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "beautiful-xerox",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "codepConstDF1 = pd.DataFrame(codepConstViolations['Mand_Sugg_Normal']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "genetic-venezuela",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1018</th>\n",
       "      <td>186</td>\n",
       "      <td>16</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1456</th>\n",
       "      <td>18648</td>\n",
       "      <td>37</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P19</th>\n",
       "      <td>2782222</td>\n",
       "      <td>28453</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2312</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2860</th>\n",
       "      <td>174842113</td>\n",
       "      <td>152425</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4091</th>\n",
       "      <td>1487</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P410</th>\n",
       "      <td>138058</td>\n",
       "      <td>813</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P411</th>\n",
       "      <td>6304</td>\n",
       "      <td>6866</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P412</th>\n",
       "      <td>20465</td>\n",
       "      <td>13806</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P413</th>\n",
       "      <td>389145</td>\n",
       "      <td>35536</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>534 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         correct incorrect                                              paths\n",
       "P1018        186        16  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P1456      18648        37  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P19      2782222     28453  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P2312          0         5  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P2860  174842113    152425  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "...          ...       ...                                                ...\n",
       "P4091       1487         1  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P410      138058       813  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P411        6304      6866  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P412       20465     13806  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P413      389145     35536  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "\n",
       "[534 rows x 3 columns]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "powered-residence",
   "metadata": {},
   "outputs": [],
   "source": [
    "codepConstDF1['violation_ratio'] = codepConstDF1.apply(lambda p: p.incorrect / (p.correct + p.incorrect), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "chinese-pressing",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P2302</th>\n",
       "      <td>0</td>\n",
       "      <td>48022</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3063</th>\n",
       "      <td>0</td>\n",
       "      <td>1252</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2309</th>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2308</th>\n",
       "      <td>0</td>\n",
       "      <td>51</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5447</th>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5448</th>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P7569</th>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P7903</th>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2312</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2313</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2310</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2311</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4680</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2307</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2916</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P2302       0     48022  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P3063       0      1252  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2309       0        55  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2308       0        51  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P5447       0        24  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P5448       0        23  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P7569       0         9  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P7903       0         7  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2312       0         5  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2313       0         4  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2310       0         4  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2311       0         4  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P4680       0         2  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2307       0         2  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2916       0         2  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "\n",
       "       violation_ratio  \n",
       "P2302              1.0  \n",
       "P3063              1.0  \n",
       "P2309              1.0  \n",
       "P2308              1.0  \n",
       "P5447              1.0  \n",
       "P5448              1.0  \n",
       "P7569              1.0  \n",
       "P7903              1.0  \n",
       "P2312              1.0  \n",
       "P2313              1.0  \n",
       "P2310              1.0  \n",
       "P2311              1.0  \n",
       "P4680              1.0  \n",
       "P2307              1.0  \n",
       "P2916              1.0  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF1.sort_values(by=['violation_ratio', 'incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "demonstrated-debut",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P734</th>\n",
       "      <td>2119055</td>\n",
       "      <td>738534</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.258447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2214</th>\n",
       "      <td>2989348</td>\n",
       "      <td>721476</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.194425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P433</th>\n",
       "      <td>31113458</td>\n",
       "      <td>436995</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.013851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P195</th>\n",
       "      <td>1150231</td>\n",
       "      <td>401686</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.258832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P569</th>\n",
       "      <td>6926852</td>\n",
       "      <td>267556</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.037189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P131</th>\n",
       "      <td>11274319</td>\n",
       "      <td>200519</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.017475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P275</th>\n",
       "      <td>7295</td>\n",
       "      <td>163856</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.957377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2860</th>\n",
       "      <td>174842113</td>\n",
       "      <td>152425</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.000871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P570</th>\n",
       "      <td>3471930</td>\n",
       "      <td>105652</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.029532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2017</th>\n",
       "      <td>86770</td>\n",
       "      <td>101977</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.540284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1435</th>\n",
       "      <td>2121637</td>\n",
       "      <td>92401</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.041734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1922</th>\n",
       "      <td>30636</td>\n",
       "      <td>64256</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.677149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4765</th>\n",
       "      <td>37950</td>\n",
       "      <td>63425</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.625647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P708</th>\n",
       "      <td>45718</td>\n",
       "      <td>57276</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.556110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P197</th>\n",
       "      <td>122018</td>\n",
       "      <td>52917</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.302495</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         correct incorrect                                              paths  \\\n",
       "P734     2119055    738534  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2214    2989348    721476  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P433    31113458    436995  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P195     1150231    401686  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P569     6926852    267556  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P131    11274319    200519  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P275        7295    163856  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2860  174842113    152425  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P570     3471930    105652  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2017      86770    101977  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1435    2121637     92401  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1922      30636     64256  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P4765      37950     63425  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P708       45718     57276  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P197      122018     52917  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "\n",
       "       violation_ratio  \n",
       "P734          0.258447  \n",
       "P2214         0.194425  \n",
       "P433          0.013851  \n",
       "P195          0.258832  \n",
       "P569          0.037189  \n",
       "P131          0.017475  \n",
       "P275          0.957377  \n",
       "P2860         0.000871  \n",
       "P570          0.029532  \n",
       "P2017         0.540284  \n",
       "P1435         0.041734  \n",
       "P1922         0.677149  \n",
       "P4765         0.625647  \n",
       "P708          0.556110  \n",
       "P197          0.302495  "
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF1.sort_values(by=['incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "developed-zimbabwe",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    534.000000\n",
       "mean       0.212037\n",
       "std        0.306183\n",
       "min        0.000000\n",
       "25%        0.001654\n",
       "50%        0.040424\n",
       "75%        0.329546\n",
       "max        1.000000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF1['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "unknown-johnston",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 1 - Violation Ratios')"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "codepConstDF1['violation_ratio'].plot.hist(bins=100).set_title(\"Co-Dependency Constraint - Version 1 - Violation Ratios\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "exceptional-dakota",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 1 - Violation Ratios <= 0.5')"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "codepConstDF1[codepConstDF1['violation_ratio'] <= 0.5].violation_ratio.plot.hist(bins=100).set_title(\"Co-Dependency Constraint - Version 1 - Violation Ratios <= 0.5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "interior-joseph",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of properties whose violation ratio is greater than mean: 0/534\n"
     ]
    }
   ],
   "source": [
    "print(f\"No. of properties whose violation ratio is greater than mean: {sum(codepConstDF1['violation_ratio'] >= 3.539484)}/{len(codepConstDF1)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "english-difference",
   "metadata": {},
   "outputs": [],
   "source": [
    "codepConstDF1.to_csv('../../allConstraintsAnalysis_WRemoved_Final/codepConstDFAnalysis.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "greater-genetics",
   "metadata": {},
   "source": [
    "#### Version 2 - Mand Normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "constant-chance",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "codepConstDF2 = pd.DataFrame(codepConstViolations['Mand_Normal']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "included-adjustment",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1018</th>\n",
       "      <td>186</td>\n",
       "      <td>16</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1533</th>\n",
       "      <td>8328</td>\n",
       "      <td>9693</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2009</th>\n",
       "      <td>1036</td>\n",
       "      <td>17</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P240</th>\n",
       "      <td>25801</td>\n",
       "      <td>9</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3816</th>\n",
       "      <td>31</td>\n",
       "      <td>10</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3648</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3701</th>\n",
       "      <td>72</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3713</th>\n",
       "      <td>359</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3744</th>\n",
       "      <td>377</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3815</th>\n",
       "      <td>600</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>475 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths\n",
       "P1018     186        16  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P1533    8328      9693  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P2009    1036        17  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P240    25801         9  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P3816      31        10  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "...       ...       ...                                                ...\n",
       "P3648       7         0  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P3701      72         1  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P3713     359         1  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P3744     377         1  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P3815     600         1  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "\n",
       "[475 rows x 3 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "fundamental-knowing",
   "metadata": {},
   "outputs": [],
   "source": [
    "codepConstDF2['violation_ratio'] = codepConstDF2.apply(lambda p: p.incorrect / (p.correct + p.incorrect), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "harmful-discipline",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P2308</th>\n",
       "      <td>0</td>\n",
       "      <td>51</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2916</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5448</th>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5447</th>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2304</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2307</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2309</th>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4680</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2310</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2842</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2311</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2312</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2313</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8264</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P7569</th>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P2308       0        51  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2916       0         2  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P5448       0        23  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P5447       0        24  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2304       0         1  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2307       0         2  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2309       0        55  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P4680       0         2  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2310       0         4  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2842       0         1  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2311       0         4  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2312       0         5  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2313       0         4  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P8264       0         1  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P7569       0         9  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "\n",
       "       violation_ratio  \n",
       "P2308              1.0  \n",
       "P2916              1.0  \n",
       "P5448              1.0  \n",
       "P5447              1.0  \n",
       "P2304              1.0  \n",
       "P2307              1.0  \n",
       "P2309              1.0  \n",
       "P4680              1.0  \n",
       "P2310              1.0  \n",
       "P2842              1.0  \n",
       "P2311              1.0  \n",
       "P2312              1.0  \n",
       "P2313              1.0  \n",
       "P8264              1.0  \n",
       "P7569              1.0  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF2.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "unlikely-chamber",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P2214</th>\n",
       "      <td>2989348</td>\n",
       "      <td>721476</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.194425</td>\n",
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       "      <td>31113458</td>\n",
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       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.013851</td>\n",
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       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.957377</td>\n",
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       "      <td>174842113</td>\n",
       "      <td>152425</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
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       "      <td>2121637</td>\n",
       "      <td>92401</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.041734</td>\n",
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       "      <th>P708</th>\n",
       "      <td>45718</td>\n",
       "      <td>57276</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.556110</td>\n",
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       "      <th>P197</th>\n",
       "      <td>122018</td>\n",
       "      <td>52917</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.302495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1598</th>\n",
       "      <td>40600</td>\n",
       "      <td>49329</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.548533</td>\n",
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       "    <tr>\n",
       "      <th>P1111</th>\n",
       "      <td>1</td>\n",
       "      <td>46803</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.999979</td>\n",
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       "      <th>P856</th>\n",
       "      <td>1451949</td>\n",
       "      <td>44006</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.029417</td>\n",
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       "      <th>P2248</th>\n",
       "      <td>4025</td>\n",
       "      <td>41608</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.911796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2325</th>\n",
       "      <td>4079</td>\n",
       "      <td>40619</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.908743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2243</th>\n",
       "      <td>4035</td>\n",
       "      <td>36870</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.901357</td>\n",
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       "      <th>P2244</th>\n",
       "      <td>4036</td>\n",
       "      <td>36801</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.901168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P413</th>\n",
       "      <td>389145</td>\n",
       "      <td>35536</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.083677</td>\n",
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       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "         correct incorrect                                              paths  \\\n",
       "P2214    2989348    721476  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P433    31113458    436995  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P275        7295    163856  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2860  174842113    152425  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1435    2121637     92401  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P708       45718     57276  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P197      122018     52917  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1598      40600     49329  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1111          1     46803  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P856     1451949     44006  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2248       4025     41608  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2325       4079     40619  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2243       4035     36870  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2244       4036     36801  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P413      389145     35536  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "\n",
       "       violation_ratio  \n",
       "P2214         0.194425  \n",
       "P433          0.013851  \n",
       "P275          0.957377  \n",
       "P2860         0.000871  \n",
       "P1435         0.041734  \n",
       "P708          0.556110  \n",
       "P197          0.302495  \n",
       "P1598         0.548533  \n",
       "P1111         0.999979  \n",
       "P856          0.029417  \n",
       "P2248         0.911796  \n",
       "P2325         0.908743  \n",
       "P2243         0.901357  \n",
       "P2244         0.901168  \n",
       "P413          0.083677  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF2.sort_values(by=['incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "violent-match",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    475.000000\n",
       "mean       0.177493\n",
       "std        0.289214\n",
       "min        0.000000\n",
       "25%        0.000966\n",
       "50%        0.023847\n",
       "75%        0.214528\n",
       "max        1.000000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF2['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "educational-thickness",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 2 - Violation Ratios')"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "codepConstDF2['violation_ratio'].plot.hist(bins=100).set_title(\"Co-Dependency Constraint - Version 2 - Violation Ratios\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "latin-mitchell",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 2 - Violation Ratios <= 0.5')"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "codepConstDF2[codepConstDF2['violation_ratio'] <= 0.5].violation_ratio.plot.hist(bins=100).set_title(\"Co-Dependency Constraint - Version 2 - Violation Ratios <= 0.5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "asian-forwarding",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of properties whose violation ratio is greater than mean: 0/475\n"
     ]
    }
   ],
   "source": [
    "print(f\"No. of properties whose violation ratio is greater than mean: {sum(codepConstDF2['violation_ratio'] >= 2.290915)}/{len(codepConstDF2)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "destroyed-flash",
   "metadata": {},
   "source": [
    "#### Version 3 - Mand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "consecutive-plenty",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "codepConstDF3 = pd.DataFrame(codepConstViolations['Mand']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "digital-mileage",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P564</th>\n",
       "      <td>18887</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1081</th>\n",
       "      <td>12693</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5982</th>\n",
       "      <td>1328</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1087</th>\n",
       "      <td>3774635</td>\n",
       "      <td>1210</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P613</th>\n",
       "      <td>70608</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5105</th>\n",
       "      <td>2060</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P517</th>\n",
       "      <td>248</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P521</th>\n",
       "      <td>1757</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P555</th>\n",
       "      <td>17395</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5623</th>\n",
       "      <td>1474</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>79 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       correct incorrect                                              paths\n",
       "P564     18887         5  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P1081    12693         0  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P5982     1328         0  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P1087  3774635      1210  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P613     70608         5  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "...        ...       ...                                                ...\n",
       "P5105     2060         0  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P517       248         0  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P521      1757         0  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P555     17395         2  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P5623     1474         0  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "\n",
       "[79 rows x 3 columns]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "formed-battle",
   "metadata": {},
   "outputs": [],
   "source": [
    "codepConstDF3['violation_ratio'] = codepConstDF3.apply(lambda p: p.incorrect / p.correct if p.correct != 0 else p.incorrect/100, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "numerous-construction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P5051</th>\n",
       "      <td>2</td>\n",
       "      <td>79</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>39.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4341</th>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2095</th>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.078947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P990</th>\n",
       "      <td>1089</td>\n",
       "      <td>44</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.040404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3931</th>\n",
       "      <td>2316</td>\n",
       "      <td>68</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.029361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P246</th>\n",
       "      <td>174</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.028736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1713</th>\n",
       "      <td>2935</td>\n",
       "      <td>79</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.026917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P141</th>\n",
       "      <td>131232</td>\n",
       "      <td>3270</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.024918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1731</th>\n",
       "      <td>382</td>\n",
       "      <td>8</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.020942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2009</th>\n",
       "      <td>1036</td>\n",
       "      <td>17</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.016409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8264</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2842</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1560</th>\n",
       "      <td>3459</td>\n",
       "      <td>33</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.009540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1635</th>\n",
       "      <td>922</td>\n",
       "      <td>8</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.008677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P944</th>\n",
       "      <td>851</td>\n",
       "      <td>7</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.008226</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P5051       2        79  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P4341       8         1  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2095      38         3  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P990     1089        44  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P3931    2316        68  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P246      174         5  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1713    2935        79  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P141   131232      3270  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1731     382         8  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2009    1036        17  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P8264       0         1  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2842       0         1  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1560    3459        33  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1635     922         8  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P944      851         7  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "\n",
       "       violation_ratio  \n",
       "P5051        39.500000  \n",
       "P4341         0.125000  \n",
       "P2095         0.078947  \n",
       "P990          0.040404  \n",
       "P3931         0.029361  \n",
       "P246          0.028736  \n",
       "P1713         0.026917  \n",
       "P141          0.024918  \n",
       "P1731         0.020942  \n",
       "P2009         0.016409  \n",
       "P8264         0.010000  \n",
       "P2842         0.010000  \n",
       "P1560         0.009540  \n",
       "P1635         0.008677  \n",
       "P944          0.008226  "
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF3.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "imposed-bibliography",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P141</th>\n",
       "      <td>131232</td>\n",
       "      <td>3270</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.024918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1087</th>\n",
       "      <td>3774635</td>\n",
       "      <td>1210</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.000321</td>\n",
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       "      <th>P7959</th>\n",
       "      <td>657006</td>\n",
       "      <td>322</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.000490</td>\n",
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       "      <th>P5051</th>\n",
       "      <td>2</td>\n",
       "      <td>79</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>39.500000</td>\n",
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       "    <tr>\n",
       "      <th>P1713</th>\n",
       "      <td>2935</td>\n",
       "      <td>79</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.026917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3931</th>\n",
       "      <td>2316</td>\n",
       "      <td>68</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.029361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P451</th>\n",
       "      <td>12167</td>\n",
       "      <td>50</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.004109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P915</th>\n",
       "      <td>28966</td>\n",
       "      <td>47</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.001623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P197</th>\n",
       "      <td>174888</td>\n",
       "      <td>44</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.000252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P990</th>\n",
       "      <td>1089</td>\n",
       "      <td>44</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.040404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1560</th>\n",
       "      <td>3459</td>\n",
       "      <td>33</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.009540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2962</th>\n",
       "      <td>29220</td>\n",
       "      <td>25</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.000856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2009</th>\n",
       "      <td>1036</td>\n",
       "      <td>17</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.016409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2364</th>\n",
       "      <td>9705</td>\n",
       "      <td>17</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.001752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2365</th>\n",
       "      <td>1851</td>\n",
       "      <td>10</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.005402</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       correct incorrect                                              paths  \\\n",
       "P141    131232      3270  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1087  3774635      1210  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P7959   657006       322  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P5051        2        79  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1713     2935        79  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P3931     2316        68  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P451     12167        50  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P915     28966        47  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P197    174888        44  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P990      1089        44  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1560     3459        33  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2962    29220        25  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2009     1036        17  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2364     9705        17  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2365     1851        10  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "\n",
       "       violation_ratio  \n",
       "P141          0.024918  \n",
       "P1087         0.000321  \n",
       "P7959         0.000490  \n",
       "P5051        39.500000  \n",
       "P1713         0.026917  \n",
       "P3931         0.029361  \n",
       "P451          0.004109  \n",
       "P915          0.001623  \n",
       "P197          0.000252  \n",
       "P990          0.040404  \n",
       "P1560         0.009540  \n",
       "P2962         0.000856  \n",
       "P2009         0.016409  \n",
       "P2364         0.001752  \n",
       "P2365         0.005402  "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF3.sort_values(by=['incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "emotional-crown",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    79.000000\n",
       "mean      0.506010\n",
       "std       4.443448\n",
       "min       0.000000\n",
       "25%       0.000000\n",
       "50%       0.000260\n",
       "75%       0.002110\n",
       "max      39.500000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF3['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "certain-freeze",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 3 - Violation Ratios')"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "codepConstDF3['violation_ratio'].plot.hist(bins=100).set_title(\"Co-Dependency Constraint - Version 3 - Violation Ratios\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "cooperative-ownership",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 3 - Violation Ratios <= 0.0005')"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "codepConstDF3[codepConstDF3['violation_ratio'] <= 0.0005].violation_ratio.plot.hist(bins=100).set_title(\"Co-Dependency Constraint - Version 3 - Violation Ratios <= 0.0005\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "studied-inclusion",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of properties whose violation ratio is greater than mean: 1/79\n"
     ]
    }
   ],
   "source": [
    "print(f\"No. of properties whose violation ratio is greater than mean: {sum(codepConstDF3['violation_ratio'] >= 0.922928)}/{len(codepConstDF3)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "protective-brazil",
   "metadata": {},
   "source": [
    "#### Version 4 - Normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "laughing-pressing",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "codepConstDF4 = pd.DataFrame(codepConstViolations['Normal']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "loving-swift",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1018</th>\n",
       "      <td>186</td>\n",
       "      <td>16</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1539</th>\n",
       "      <td>243577</td>\n",
       "      <td>551</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P209</th>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P574</th>\n",
       "      <td>5524</td>\n",
       "      <td>92</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P746</th>\n",
       "      <td>941</td>\n",
       "      <td>325</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P410</th>\n",
       "      <td>138058</td>\n",
       "      <td>813</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P411</th>\n",
       "      <td>7629</td>\n",
       "      <td>5541</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P413</th>\n",
       "      <td>389145</td>\n",
       "      <td>35536</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P418</th>\n",
       "      <td>96</td>\n",
       "      <td>11</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4213</th>\n",
       "      <td>42655</td>\n",
       "      <td>14</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>424 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths\n",
       "P1018     186        16  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P1539  243577       551  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P209      163         1  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P574     5524        92  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P746      941       325  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "...       ...       ...                                                ...\n",
       "P410   138058       813  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P411     7629      5541  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P413   389145     35536  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P418       96        11  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "P4213   42655        14  [../../allConstraintsAnalysis_WRemoved_Final/c...\n",
       "\n",
       "[424 rows x 3 columns]"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "north-christian",
   "metadata": {},
   "outputs": [],
   "source": [
    "codepConstDF4['violation_ratio'] = codepConstDF4.apply(lambda p: p.incorrect / p.correct if p.correct != 0 else p.incorrect/100, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "closing-causing",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1111</th>\n",
       "      <td>1</td>\n",
       "      <td>46803</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>46803.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1995</th>\n",
       "      <td>89</td>\n",
       "      <td>11360</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>127.640449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4501</th>\n",
       "      <td>425</td>\n",
       "      <td>22684</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>53.374118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P768</th>\n",
       "      <td>297</td>\n",
       "      <td>15346</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>51.670034</td>\n",
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       "    <tr>\n",
       "      <th>P275</th>\n",
       "      <td>7295</td>\n",
       "      <td>163856</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>22.461412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2306</th>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3912</th>\n",
       "      <td>312</td>\n",
       "      <td>3775</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>12.099359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2248</th>\n",
       "      <td>4025</td>\n",
       "      <td>41608</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>10.337391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2303</th>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2325</th>\n",
       "      <td>4079</td>\n",
       "      <td>40619</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>9.958078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2720</th>\n",
       "      <td>15</td>\n",
       "      <td>140</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>9.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2243</th>\n",
       "      <td>4035</td>\n",
       "      <td>36870</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>9.137546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2244</th>\n",
       "      <td>4036</td>\n",
       "      <td>36801</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>9.118186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3448</th>\n",
       "      <td>579</td>\n",
       "      <td>4620</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>7.979275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1183</th>\n",
       "      <td>683</td>\n",
       "      <td>5394</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>7.897511</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P1111       1     46803  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1995      89     11360  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P4501     425     22684  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P768      297     15346  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P275     7295    163856  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2306       1        15  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P3912     312      3775  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2248    4025     41608  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2303       4        40  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2325    4079     40619  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2720      15       140  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2243    4035     36870  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2244    4036     36801  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P3448     579      4620  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1183     683      5394  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "\n",
       "       violation_ratio  \n",
       "P1111     46803.000000  \n",
       "P1995       127.640449  \n",
       "P4501        53.374118  \n",
       "P768         51.670034  \n",
       "P275         22.461412  \n",
       "P2306        15.000000  \n",
       "P3912        12.099359  \n",
       "P2248        10.337391  \n",
       "P2303        10.000000  \n",
       "P2325         9.958078  \n",
       "P2720         9.333333  \n",
       "P2243         9.137546  \n",
       "P2244         9.118186  \n",
       "P3448         7.979275  \n",
       "P1183         7.897511  "
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF4.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "brief-effect",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P2214</th>\n",
       "      <td>2989348</td>\n",
       "      <td>721476</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.241349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P433</th>\n",
       "      <td>31113458</td>\n",
       "      <td>436995</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.014045</td>\n",
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       "    <tr>\n",
       "      <th>P275</th>\n",
       "      <td>7295</td>\n",
       "      <td>163856</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>22.461412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2860</th>\n",
       "      <td>174842113</td>\n",
       "      <td>152425</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.000872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1435</th>\n",
       "      <td>2121637</td>\n",
       "      <td>92401</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.043552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P708</th>\n",
       "      <td>45718</td>\n",
       "      <td>57276</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.252811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P197</th>\n",
       "      <td>122018</td>\n",
       "      <td>52917</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.433682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1598</th>\n",
       "      <td>40600</td>\n",
       "      <td>49329</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>1.215000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1111</th>\n",
       "      <td>1</td>\n",
       "      <td>46803</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>46803.000000</td>\n",
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       "    <tr>\n",
       "      <th>P856</th>\n",
       "      <td>1451949</td>\n",
       "      <td>44006</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.030308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2248</th>\n",
       "      <td>4025</td>\n",
       "      <td>41608</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>10.337391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2325</th>\n",
       "      <td>4079</td>\n",
       "      <td>40619</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>9.958078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2243</th>\n",
       "      <td>4035</td>\n",
       "      <td>36870</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>9.137546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2244</th>\n",
       "      <td>4036</td>\n",
       "      <td>36801</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>9.118186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P413</th>\n",
       "      <td>389145</td>\n",
       "      <td>35536</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/c...</td>\n",
       "      <td>0.091318</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         correct incorrect                                              paths  \\\n",
       "P2214    2989348    721476  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P433    31113458    436995  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P275        7295    163856  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2860  174842113    152425  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1435    2121637     92401  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P708       45718     57276  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P197      122018     52917  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1598      40600     49329  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P1111          1     46803  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P856     1451949     44006  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2248       4025     41608  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2325       4079     40619  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2243       4035     36870  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P2244       4036     36801  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "P413      389145     35536  [../../allConstraintsAnalysis_WRemoved_Final/c...   \n",
       "\n",
       "       violation_ratio  \n",
       "P2214         0.241349  \n",
       "P433          0.014045  \n",
       "P275         22.461412  \n",
       "P2860         0.000872  \n",
       "P1435         0.043552  \n",
       "P708          1.252811  \n",
       "P197          0.433682  \n",
       "P1598         1.215000  \n",
       "P1111     46803.000000  \n",
       "P856          0.030308  \n",
       "P2248        10.337391  \n",
       "P2325         9.958078  \n",
       "P2243         9.137546  \n",
       "P2244         9.118186  \n",
       "P413          0.091318  "
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF4.sort_values(by=['incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "wireless-passenger",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count      424.000000\n",
       "mean       111.550177\n",
       "std       2272.909916\n",
       "min          0.000000\n",
       "25%          0.001966\n",
       "50%          0.036278\n",
       "75%          0.260204\n",
       "max      46803.000000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF4['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "civilian-arnold",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 4 - Violation Ratios')"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "codepConstDF4['violation_ratio'].plot.hist(bins=100).set_title(\"Co-Dependency Constraint - Version 4 - Violation Ratios\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "threaded-cooler",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 4 - Violation Ratios <= 0.5')"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "codepConstDF4[codepConstDF4['violation_ratio'] <= 0.5].violation_ratio.plot.hist(bins=100).set_title(\"Co-Dependency Constraint - Version 4 - Violation Ratios <= 0.5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "olympic-charlotte",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of properties whose violation ratio is greater than mean: 29/424\n"
     ]
    }
   ],
   "source": [
    "print(f\"No. of properties whose violation ratio is greater than mean: {sum(codepConstDF4['violation_ratio'] >= 2.414703)}/{len(codepConstDF4)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "published-affiliate",
   "metadata": {},
   "source": [
    "### Find out time required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aggregate-conservative",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "codepConstViolations = {}\n",
    "\n",
    "codepConstViolations = {}\n",
    "codepConstPropList = set()\n",
    "\n",
    "def extractTimes(filename):\n",
    "    times = []\n",
    "    with open(filename) as f:\n",
    "        for line in f:\n",
    "            if \"real\" in line:\n",
    "                line = line.strip()\n",
    "                time1 = line.split(\"\\t\")[1]\n",
    "                mins, sec = time1.split(\"m\")\n",
    "                mins = int(mins)\n",
    "                sec = float(sec[:-1])\n",
    "                times.append(60 * mins + sec)\n",
    "    return times\n",
    "\n",
    "# codepConstViolationsSummary = {}\n",
    "times = []\n",
    "timesVersion = {\"MSN\": [], \"MN\": [], \"M\": [], \"N\": [], \"S\": []}\n",
    "filePath = '/data/wd-correctness/propertiesSplit_WRemoved_Final/checkViolations/exec_logs/'\n",
    "for filename in tqdm(os.listdir(filePath)):\n",
    "    if filename.startswith(\"timeLog_codepConst_\"):\n",
    "        ver = filename.split('_')[2]\n",
    "        tempTimes = extractTimes(filePath + filename)\n",
    "        times += tempTimes\n",
    "        timesVersion[ver] += tempTimes\n",
    "print(pd.Series(times).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "hearing-treasury",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(pd.Series(timesVersion['MSN']).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "animal-vocabulary",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(pd.Series(timesVersion['MN']).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "gentle-accessory",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(pd.Series(timesVersion['M']).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fresh-namibia",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(pd.Series(timesVersion['N']).describe())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "industrial-parcel",
   "metadata": {},
   "source": [
    "## Symmetric Constraint (Q21510862)\n",
    "\n",
    "This constraint says, if node1 has a property with this constraint, then both `(node1)-[prop]->(node2)` and `(node2)-[prop]->(node1)` must be present with few exceptions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "silent-fundamentals",
   "metadata": {},
   "source": [
    "### Constraints File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "known-wednesday",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-04-15 07:17:19 query]: SQL Translation:\n",
      "---------------------------------------------\n",
      "  SELECT *\n",
      "     FROM graph_1 AS graph_1_c1\n",
      "     WHERE graph_1_c1.\"label\"=?\n",
      "     AND graph_1_c1.\"node2\"=?\n",
      "  PARAS: ['P2302', 'Q21510862']\n",
      "---------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "!kgtk --debug query -i ../../gdrive-kgtk-dump-2020-12-07/claims.properties.tsv.gz \\\n",
    "    ../../gdrive-kgtk-dump-2020-12-07/qualifiers.properties.tsv.gz \\\n",
    "    --match \"p: (nodeProp1)-[nodePropEdge:P2302]->(:Q21510862)\" \\\n",
    "    -o ../../constraintsOP/symmetricConstraint/claims.constraints_list.tsv \\\n",
    "    --graph-cache ~/sqlite3_caches/temp1345.valuetype.sqlite3.db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "legal-diamond",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "qualiDF = pd.read_csv(\"../../gdrive-kgtk-dump-2020-12-07/qualifiers.properties.tsv.gz\",sep='\\t')\n",
    "constDF = pd.read_csv(\"../../constraintsOP/symmetricConstraint/claims.constraints_list.tsv\",sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "exceptional-morris",
   "metadata": {},
   "outputs": [],
   "source": [
    "constDF2 = constDF.set_index('id').join(qualiDF.set_index('node1'),rsuffix='_qualifier').drop(columns=['id', 'node2;wikidatatype_qualifier', 'rank', 'node2', 'label', 'node2;wikidatatype']).rename(columns={'label_qualifier':'label', 'node2_qualifier': 'node2'})\n",
    "constDF2 = constDF2.reset_index()\n",
    "constDF2 = constDF2.rename(columns={'index':'id'})\n",
    "constDF2['label'] = constDF2.label.fillna(\"P2316\")\n",
    "constDF2['node2'] = constDF2.node2.fillna(\"Normal\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "burning-involvement",
   "metadata": {},
   "outputs": [],
   "source": [
    "constDF2.to_csv(\"../../constraintsOP/symmetricConstraint/claims.constraints_all.tsv\",sep=\"\\t\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "naval-identification",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import math\n",
    "dfItemRequires = pd.read_csv('../../constraintsOP/symmetricConstraint/claims.constraints_all.tsv',sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "considered-madison",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfItemRequires = dfItemRequires.groupby(['id','node1','label']).node2.apply(lambda p: p.tolist()).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "alone-cattle",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['P2316', 'P2303'], dtype=object)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires['label'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "sensitive-alliance",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Reference: https://stackoverflow.com/a/17298454\n",
    "# dfItemRequires.pivot_table('node2', ['node1', 'id'], 'label')\n",
    "dfItemRequires = dfItemRequires.pivot(index=['node1','id'], columns='label', values='node2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "tender-valley",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>P2303</th>\n",
       "      <th>P2316</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>node1</th>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1322</th>\n",
       "      <th>P1322-P2302-Q21510862-85dea891-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[Normal]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1327</th>\n",
       "      <th>P1327-P2302-Q21510862-a3c3a094-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[Normal]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1382</th>\n",
       "      <th>P1382-P2302-Q21510862-f6bcfecf-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[Normal]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1560</th>\n",
       "      <th>P1560-P2302-Q21510862-fabecaeb-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1639</th>\n",
       "      <th>P1639-P2302-Q21510862-384edcd4-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "label                                  P2303        P2316\n",
       "node1 id                                                 \n",
       "P1322 P1322-P2302-Q21510862-85dea891-0   NaN     [Normal]\n",
       "P1327 P1327-P2302-Q21510862-a3c3a094-0   NaN     [Normal]\n",
       "P1382 P1382-P2302-Q21510862-f6bcfecf-0   NaN     [Normal]\n",
       "P1560 P1560-P2302-Q21510862-fabecaeb-0   NaN  [Q21502408]\n",
       "P1639 P1639-P2302-Q21510862-384edcd4-0   NaN  [Q21502408]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "cellular-canal",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfItemRequires = dfItemRequires.droplevel(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "desperate-poster",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>label</th>\n",
       "      <th>P2303</th>\n",
       "      <th>P2316</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>node1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1322</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[Normal]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1327</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[Normal]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1382</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[Normal]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1560</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1639</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[Q21502408]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "label P2303        P2316\n",
       "node1                   \n",
       "P1322   NaN     [Normal]\n",
       "P1327   NaN     [Normal]\n",
       "P1382   NaN     [Normal]\n",
       "P1560   NaN  [Q21502408]\n",
       "P1639   NaN  [Q21502408]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "primary-netherlands",
   "metadata": {},
   "source": [
    "### Query Generator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "pointed-haven",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import os.path\n",
    "import os\n",
    "\n",
    "cnt = 0\n",
    "fCnt = 0\n",
    "\n",
    "folderName = 'symmetricConstraint'\n",
    "shellFileSuffix = 'symmConst_Validator_'\n",
    "graph_cache_prefix = 'symm_new_11_1_'\n",
    "\n",
    "for row in tqdm(dfItemRequires.iterrows()):\n",
    "#     try:\n",
    "        prop = row[0]\n",
    "        constraint = row[1]\n",
    "        mandatory = []\n",
    "        suggestion = []\n",
    "        normal = []\n",
    "        prop = str(prop)\n",
    "        \n",
    "        if type(constraint['P2316']) == list:\n",
    "            if constraint['P2316'][0] == 'Q21502408':\n",
    "                sfname = 'mandatory'\n",
    "            elif constraint['P2316'][0] == 'Q62026391':\n",
    "                sfname = 'suggestion'\n",
    "            elif constraint['P2316'][0] == 'Normal':\n",
    "                sfname = 'normal'\n",
    "        else:\n",
    "            sfname = 'normal'\n",
    "        \n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        command = \"{ time ( kgtk --debug query -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "                    ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".copy2.tsv \\\n",
    "                    --match 'tsv: (node1)-[nodeProp]->(node2), copy2: (node2)-[]->(node1)' \"\n",
    "        \n",
    "        os.system(\"cp ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".copy2.tsv\")\n",
    "        \n",
    "        if cnt % 60 == 0:\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplit_WRemoved_Final/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "        command\n",
    "        if type(constraint['P2303']) != list: # Exceptions not present\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\"+graph_cache_prefix+\"_\" + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/\" + shellFileSuffix + str(fCnt) + \".txt;\\n\"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "        else:\n",
    "            excptns = constraint['P2303']\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\"+graph_cache_prefix+\"_\" + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect_wo_exceptions.tsv; \"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \" kgtk --debug query -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\" + prop + \".correct_exceptions.tsv \\\n",
    "                    --graph-cache ~/sqlite3_caches/\"+graph_cache_prefix+\"_\" + str(fCnt) + \".sqlite3.db; \"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug ifnotexists -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\" + prop + \".correct_exceptions.tsv \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \" kgtk cat -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/\" + shellFileSuffix + str(fCnt) + \".txt;\\n\"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "        \n",
    "        \n",
    "        cnt += 1\n",
    "#     except:\n",
    "#         print(\"Something failed for prop:\",prop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "polar-canada",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "39"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "virtual-disney",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,3):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplit_WRemoved_Final/checkViolations/symmConst_Validator_\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "coral-cheese",
   "metadata": {},
   "source": [
    "### Analyze Violations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "governmental-backup",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3810b55aa13b4555b826a68f7b829338",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/13 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9e776e9fb55645dba7ec10b3576da175",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/68 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ef41da59ff70419a911116181b77a6e5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/6 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "symmConstViolations = {}\n",
    "\n",
    "def countLines(fname):\n",
    "    cnt = -1\n",
    "    with open(fname, 'r') as f:\n",
    "        for line in f:\n",
    "            cnt += 1\n",
    "    return cnt \n",
    "\n",
    "symmConstViolations = {}\n",
    "symmConstPropList = set()\n",
    "\n",
    "# codepConstViolationsSummary = {}\n",
    "\n",
    "\n",
    "filePath = \"../../allConstraintsAnalysis_WRemoved_Final/symmetricConstraint/\"\n",
    "for folder in tqdm(iter(['mandatory','normal','suggestion'])):\n",
    "    for filename in tqdm(os.listdir(filePath + folder)):\n",
    "        prop = filename.split(\".\")[1]\n",
    "        correctness = filename.split(\".\")[2]\n",
    "        if correctness not in ['correct','incorrect']:\n",
    "            continue\n",
    "        symmConstPropList.add(prop)\n",
    "        count1 = countLines(filePath+folder+'/'+filename)\n",
    "        if folder not in symmConstViolations:\n",
    "            symmConstViolations[folder] = {}\n",
    "        if prop not in symmConstViolations[folder]:\n",
    "            symmConstViolations[folder][prop] = {'correct': 0, 'incorrect': 0, 'paths': []}\n",
    "        symmConstViolations[folder][prop][correctness] = count1\n",
    "        symmConstViolations[folder][prop]['paths'].append(filePath+folder+'/'+filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "helpful-offset",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "39"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(symmConstPropList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "entertaining-rescue",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8e5b1311ef2e428e8093ce40f572fd13",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "symmConstViolationsSummary = {}\n",
    "for folder in tqdm(iter(['mandatory','normal','suggestion'])):\n",
    "    symmConstViolationsSummary[folder] = {'correct': 0, 'incorrect': 0}\n",
    "    for prop in symmConstViolations[folder].keys():\n",
    "        symmConstViolationsSummary[folder]['correct'] += symmConstViolations[folder][prop]['correct']\n",
    "        symmConstViolationsSummary[folder]['incorrect'] += symmConstViolations[folder][prop]['incorrect']\n",
    "    symmConstViolationsSummary[folder]['total'] = symmConstViolationsSummary[folder]['correct'] + symmConstViolationsSummary[folder]['incorrect']\n",
    "    symmConstViolationsSummary[folder]['percIncorrect'] = symmConstViolationsSummary[folder]['incorrect'] / symmConstViolationsSummary[folder]['total'] * 100\n",
    "    symmConstViolationsSummary[folder]['propCount'] = len(symmConstViolations[folder].keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "copyrighted-marshall",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'mandatory': {'correct': 7720,\n",
       "  'incorrect': 61,\n",
       "  'total': 7781,\n",
       "  'percIncorrect': 0.7839609304716617,\n",
       "  'propCount': 5},\n",
       " 'normal': {'correct': 9553481,\n",
       "  'incorrect': 7602206,\n",
       "  'total': 17155687,\n",
       "  'percIncorrect': 44.313037420186085,\n",
       "  'propCount': 31},\n",
       " 'suggestion': {'correct': 806179,\n",
       "  'incorrect': 59278,\n",
       "  'total': 865457,\n",
       "  'percIncorrect': 6.849329313876947,\n",
       "  'propCount': 3}}"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symmConstViolationsSummary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "enhanced-ontario",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18028925"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "noOfStmts = 0\n",
    "for fold in symmConstViolationsSummary.keys():\n",
    "    noOfStmts += symmConstViolationsSummary[fold]['total']\n",
    "noOfStmts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "representative-conjunction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P2152</th>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/s...</td>\n",
       "      <td>0.012346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1639</th>\n",
       "      <td>2094</td>\n",
       "      <td>26</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/s...</td>\n",
       "      <td>0.012264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1560</th>\n",
       "      <td>3459</td>\n",
       "      <td>33</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/s...</td>\n",
       "      <td>0.009450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3364</th>\n",
       "      <td>1806</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/s...</td>\n",
       "      <td>0.000553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6185</th>\n",
       "      <td>281</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/s...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P2152      80         1  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P1639    2094        26  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P1560    3459        33  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P3364    1806         1  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P6185     281         0  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "\n",
       "       violation_ratio  \n",
       "P2152         0.012346  \n",
       "P1639         0.012264  \n",
       "P1560         0.009450  \n",
       "P3364         0.000553  \n",
       "P6185         0.000000  "
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symmConstDF1 = pd.DataFrame(symmConstViolations['mandatory']).T\n",
    "symmConstDF1['violation_ratio'] = symmConstDF1.apply(lambda p: p.incorrect / (p.incorrect + p.correct), axis=1)\n",
    "symmConstDF1.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "gross-extraction",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      correct incorrect                                              paths  \\\n",
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       "P1889  530234     30928  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
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       "\n",
       "       violation_ratio  \n",
       "P2789         0.191801  \n",
       "P1889         0.055114  \n",
       "P197          0.020225  "
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symmConstDF2 = pd.DataFrame(symmConstViolations['suggestion']).T\n",
    "symmConstDF2['violation_ratio'] = symmConstDF2.apply(lambda p: p.incorrect / (p.incorrect + p.correct), axis=1)\n",
    "symmConstDF2.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "heavy-scout",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "       correct incorrect                                              paths  \\\n",
       "P5974        0         1  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P5188        0         5  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P1706       12        97  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P521       421      1336  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P2652      498       911  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P684   7523178   7524749  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P8702        6         2  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P1382    10837      2911  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P3032     1730       358  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P2293    12492      2321  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P451     10935      1285  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P1327     7908       860  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P4545       46         4  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P4915      328        28  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "P530      6730       484  [../../allConstraintsAnalysis_WRemoved_Final/s...   \n",
       "\n",
       "       violation_ratio  \n",
       "P5974         1.000000  \n",
       "P5188         1.000000  \n",
       "P1706         0.889908  \n",
       "P521          0.760387  \n",
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       "P2293         0.156687  \n",
       "P451          0.105155  \n",
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       "P4545         0.080000  \n",
       "P4915         0.078652  \n",
       "P530          0.067092  "
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symmConstDF3 = pd.DataFrame(symmConstViolations['normal']).T\n",
    "symmConstDF3['violation_ratio'] = symmConstDF3.apply(lambda p: p.incorrect / (p.incorrect + p.correct), axis=1)\n",
    "symmConstDF3.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "legitimate-aspect",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Symmetric Normal Constraint - Violation Ratios')"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "symmConstDF3.sort_values(by=['violation_ratio'],ascending=False)['violation_ratio'].plot.hist(bins=100).set_title(\"Symmetric Normal Constraint - Violation Ratios\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "junior-marketing",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.concat([symmConstDF1, symmConstDF2, symmConstDF3]).to_csv('../../allConstraintsAnalysis_WRemoved_Final/symmConstDFAnalysis.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "unlikely-sewing",
   "metadata": {},
   "source": [
    "### Find out time required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "southern-reasoning",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "codepConstViolations = {}\n",
    "\n",
    "codepConstViolations = {}\n",
    "codepConstPropList = set()\n",
    "\n",
    "def extractTimes(filename):\n",
    "    times = []\n",
    "    with open(filename) as f:\n",
    "        for line in f:\n",
    "            if \"real\" in line:\n",
    "                line = line.strip()\n",
    "                time1 = line.split(\"\\t\")[1]\n",
    "                mins, sec = time1.split(\"m\")\n",
    "                mins = int(mins)\n",
    "                sec = float(sec[:-1])\n",
    "                times.append(60 * mins + sec)\n",
    "    return times\n",
    "\n",
    "# codepConstViolationsSummary = {}\n",
    "times = []\n",
    "filePath = '/data/wd-correctness/propertiesSplit_WRemoved_Final/checkViolations/exec_logs/'\n",
    "for filename in tqdm(os.listdir(filePath)):\n",
    "    if filename.startswith(\"symmConst_Validator_\"):\n",
    "        tempTimes = extractTimes(filePath + filename)\n",
    "        times += tempTimes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "classical-updating",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(pd.Series(times).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fundamental-bottle",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "sns.lineplot(data=pd.Series(times)).set_title(\"Distribution of times (in s) taken for symmetric constraint checks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "informed-animal",
   "metadata": {},
   "source": [
    "## Inverse Constraint (Q21510855)\n",
    "\n",
    "This constraint says, if node1 has a property with this constraint, then node2 must have the specified property and the value must be node1."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dramatic-manchester",
   "metadata": {},
   "source": [
    "### Constraints File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "leading-server",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-04-15 07:17:37 query]: SQL Translation:\r\n",
      "---------------------------------------------\r\n",
      "  SELECT *\r\n",
      "     FROM graph_1 AS graph_1_c1\r\n",
      "     WHERE graph_1_c1.\"label\"=?\r\n",
      "     AND graph_1_c1.\"node2\"=?\r\n",
      "  PARAS: ['P2302', 'Q21510855']\r\n",
      "---------------------------------------------\r\n"
     ]
    }
   ],
   "source": [
    "!kgtk --debug query -i ../../gdrive-kgtk-dump-2020-12-07/claims.properties.tsv.gz \\\n",
    "    ../../gdrive-kgtk-dump-2020-12-07/qualifiers.properties.tsv.gz \\\n",
    "    --match \"p: (nodeProp1)-[nodePropEdge:P2302]->(:Q21510855)\" \\\n",
    "    -o ../../constraintsOP/inverseConstraint/claims.constraints_list.tsv \\\n",
    "    --graph-cache ~/sqlite3_caches/temp1345.valuetype.sqlite3.db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "offshore-sudan",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id\tnode1\tlabel\tnode2\trank\tnode2;wikidatatype\r\n",
      "P1026-P2302-Q21510855-adc83b86-0\tP1026\tP2302\tQ21510855\tnormal\twikibase-item\r\n",
      "P1029-P2302-Q21510855-6b55e057-0\tP1029\tP2302\tQ21510855\tnormal\twikibase-item\r\n",
      "P115-P2302-Q21510855-f7aa0b78-0\tP115\tP2302\tQ21510855\tnormal\twikibase-item\r\n",
      "P1151-P2302-Q21510855-0d9aa9c6-0\tP1151\tP2302\tQ21510855\tnormal\twikibase-item\r\n",
      "P1204-P2302-Q21510855-e3d53bb6-0\tP1204\tP2302\tQ21510855\tnormal\twikibase-item\r\n",
      "P1283-P2302-Q21510855-0e7699bb-0\tP1283\tP2302\tQ21510855\tnormal\twikibase-item\r\n",
      "P1308-P2302-Q21510855-2aba96b7-0\tP1308\tP2302\tQ21510855\tnormal\twikibase-item\r\n",
      "P1365-P2302-Q21510855-c809b758-0\tP1365\tP2302\tQ21510855\tnormal\twikibase-item\r\n",
      "P1366-P2302-Q21510855-eee12ef8-0\tP1366\tP2302\tQ21510855\tnormal\twikibase-item\r\n"
     ]
    }
   ],
   "source": [
    "!head ../../constraintsOP/inverseConstraint/claims.constraints_list.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "received-colonial",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "qualiDF = pd.read_csv(\"../../gdrive-kgtk-dump-2020-12-07/qualifiers.properties.tsv.gz\",sep='\\t')\n",
    "constDF = pd.read_csv(\"../../constraintsOP/inverseConstraint/claims.constraints_list.tsv\",sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "overall-expense",
   "metadata": {},
   "outputs": [],
   "source": [
    "constDF2 = constDF.set_index('id').join(qualiDF.set_index('node1'),rsuffix='_qualifier').drop(columns=['id', 'node2;wikidatatype_qualifier', 'rank', 'node2', 'label', 'node2;wikidatatype']).rename(columns={'label_qualifier':'label', 'node2_qualifier': 'node2'})\n",
    "constDF2 = constDF2.reset_index()\n",
    "constDF2 = constDF2.rename(columns={'index':'id'})\n",
    "constDF2['label'] = constDF2.label.fillna(\"P2316\")\n",
    "constDF2['node2'] = constDF2.node2.fillna(\"Normal\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "valid-throat",
   "metadata": {},
   "outputs": [],
   "source": [
    "constDF2.to_csv(\"../../constraintsOP/inverseConstraint/claims.constraints_all.tsv\",sep=\"\\t\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "focused-pennsylvania",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import math\n",
    "dfItemRequires = pd.read_csv('../../constraintsOP/inverseConstraint/claims.constraints_all.tsv',sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "moved-rental",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfItemRequires = dfItemRequires.groupby(['id','node1','label']).node2.apply(lambda p: p.tolist()).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "attached-rings",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['P2306', 'P2316', 'P4155', 'P2303'], dtype=object)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires['label'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "local-forty",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Reference: https://stackoverflow.com/a/17298454\n",
    "# dfItemRequires.pivot_table('node2', ['node1', 'id'], 'label')\n",
    "dfItemRequires = dfItemRequires.pivot(index=['node1','id'], columns='label', values='node2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "pressed-upset",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>P2303</th>\n",
       "      <th>P2306</th>\n",
       "      <th>P2316</th>\n",
       "      <th>P4155</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>node1</th>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1026</th>\n",
       "      <th>P1026-P2302-Q21510855-adc83b86-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[P50]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1029</th>\n",
       "      <th>P1029-P2302-Q21510855-6b55e057-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[P5096]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P115</th>\n",
       "      <th>P115-P2302-Q21510855-f7aa0b78-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[P466]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1151</th>\n",
       "      <th>P1151-P2302-Q21510855-0d9aa9c6-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[P1204]</td>\n",
       "      <td>[Q21502408]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1204</th>\n",
       "      <th>P1204-P2302-Q21510855-e3d53bb6-0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[P1151]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "label                                  P2303    P2306        P2316 P4155\n",
       "node1 id                                                                \n",
       "P1026 P1026-P2302-Q21510855-adc83b86-0   NaN    [P50]          NaN   NaN\n",
       "P1029 P1029-P2302-Q21510855-6b55e057-0   NaN  [P5096]          NaN   NaN\n",
       "P115  P115-P2302-Q21510855-f7aa0b78-0    NaN   [P466]          NaN   NaN\n",
       "P1151 P1151-P2302-Q21510855-0d9aa9c6-0   NaN  [P1204]  [Q21502408]   NaN\n",
       "P1204 P1204-P2302-Q21510855-e3d53bb6-0   NaN  [P1151]          NaN   NaN"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "extra-stomach",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfItemRequires = dfItemRequires.droplevel(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "seeing-marine",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>label</th>\n",
       "      <th>P2303</th>\n",
       "      <th>P2306</th>\n",
       "      <th>P2316</th>\n",
       "      <th>P4155</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>node1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1026</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[P50]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1029</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[P5096]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P115</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[P466]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1151</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[P1204]</td>\n",
       "      <td>[Q21502408]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1204</th>\n",
       "      <td>NaN</td>\n",
       "      <td>[P1151]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "label P2303    P2306        P2316 P4155\n",
       "node1                                  \n",
       "P1026   NaN    [P50]          NaN   NaN\n",
       "P1029   NaN  [P5096]          NaN   NaN\n",
       "P115    NaN   [P466]          NaN   NaN\n",
       "P1151   NaN  [P1204]  [Q21502408]   NaN\n",
       "P1204   NaN  [P1151]          NaN   NaN"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "composite-cutting",
   "metadata": {},
   "source": [
    "### Query Generator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "acoustic-belarus",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "13b5b09ee42643d687f6eff8bf93dfcd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import os.path\n",
    "import os\n",
    "\n",
    "cnt = 0\n",
    "fCnt = 0\n",
    "fOP = None\n",
    "\n",
    "folderName = 'inverseConstraint'\n",
    "shellFileSuffix = 'invConst_Validator_'\n",
    "graph_cache_file_prefix = \"inv_new_11_1_\"\n",
    "\n",
    "for prop, constraint in tqdm(dfItemRequires.iterrows()):\n",
    "#     try:\n",
    "        \n",
    "        if type(constraint['P2316']) == list:\n",
    "            if constraint['P2316'][0] == 'Q21502408':\n",
    "                subFolderName = \"mandatory\"\n",
    "            elif constraint['P2316'][0] == 'Q62026391':\n",
    "                subFolderName = \"suggestion\"\n",
    "        else:\n",
    "            subFolderName = \"normal\"\n",
    "        \n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "            \n",
    "        prop2 = constraint['P2306']\n",
    "\n",
    "        if type(prop2) != list:\n",
    "            continue\n",
    "        prop2 = prop2[0]\n",
    "\n",
    "        if not(os.path.isfile(\"../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv\")):\n",
    "            print(f\"File: ../../propertiesSplit_WRemoved_Final/claims.{prop2}.tsv does not exist\")\n",
    "            continue\n",
    "        \n",
    "        if cnt % 60 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplit_WRemoved_Final/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "        \n",
    "            \n",
    "        command = \"{ time ( kgtk --debug query -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "                        ../../propertiesSplit_WRemoved_Final/claims.\"+ prop2 +\".tsv \\\n",
    "                        --match '\"+ \\\n",
    "                        f\"{prop}: (node1)-[nodeProp]->(node2), {prop2}: (node2)-[]->(node1)' \"\n",
    "\n",
    "        if type(constraint['P2303']) != list: # Exceptions not present\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/\" + shellFileSuffix + str(fCnt) + \".txt;\\n\"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "        else:\n",
    "            excptns = set(constraint['P2303'])\n",
    "            commandRest = \" --return 'distinct nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplit_WRemoved_Final/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect_wo_exceptions.tsv; \"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug query -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "                    --graph-cache ~/sqlite3_caches/\" + str(graph_cache_file_prefix) + str(fCnt) + \".sqlite3.db; \"\n",
    "#             print(command)        \n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk --debug ifnotexists -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysis_WRemoved_Final/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplit_WRemoved_Final/checkViolations/exec_logs/\" + shellFileSuffix + str(fCnt) + \".txt; \\n\"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "        \n",
    "        \n",
    "        cnt += 1\n",
    "#     except:\n",
    "#         print(\"Something failed for prop:\",prop)\n",
    "if fOP:\n",
    "    fOP.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "large-climb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "110"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "involved-vietnamese",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,7):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplit_WRemoved_Final/checkViolations/invConst_Validator_\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "retired-audio",
   "metadata": {},
   "source": [
    "### Analyze Violations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "specified-evanescence",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/12 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "008db059edb54c4d9758ed501f4768c0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/206 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d32635d6310c4ae7a2907510f8d90ea7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/8 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "invConstViolations = {}\n",
    "\n",
    "def countLines(fname):\n",
    "    cnt = -1\n",
    "    with open(fname, 'r') as f:\n",
    "        for line in f:\n",
    "            cnt += 1\n",
    "    return cnt\n",
    "\n",
    "invConstViolations = {}\n",
    "invConstPropList = set()\n",
    "\n",
    "# codepConstViolationsSummary = {}\n",
    "\n",
    "\n",
    "filePath = \"../../allConstraintsAnalysis_WRemoved_Final/inverseConstraint/\"\n",
    "for folder in tqdm(iter(['mandatory','normal','suggestion'])):\n",
    "    for filename in tqdm(os.listdir(filePath + folder)):\n",
    "        prop = filename.split(\".\")[1]\n",
    "        correctness = filename.split(\".\")[2]\n",
    "        if correctness not in ['correct','incorrect']:\n",
    "            continue\n",
    "        invConstPropList.add(prop)\n",
    "        count1 = countLines(filePath+folder+'/'+filename)\n",
    "        if folder not in invConstViolations:\n",
    "            invConstViolations[folder] = {}\n",
    "        if prop not in invConstViolations[folder]:\n",
    "            invConstViolations[folder][prop] = {'correct': 0, 'incorrect': 0, 'paths': []}\n",
    "        invConstViolations[folder][prop][correctness] = count1\n",
    "        invConstViolations[folder][prop]['paths'].append(filePath+folder+'/'+filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "circular-africa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "110"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(invConstPropList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "recreational-world",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f6cd62e50d934301a630cb053391a4cd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "invConstViolationsSummary = {}\n",
    "for folder in tqdm(iter(['mandatory','normal','suggestion'])):\n",
    "    invConstViolationsSummary[folder] = {'correct': 0, 'incorrect': 0}\n",
    "    for prop in invConstViolations[folder].keys():\n",
    "        invConstViolationsSummary[folder]['correct'] += invConstViolations[folder][prop]['correct']\n",
    "        invConstViolationsSummary[folder]['incorrect'] += invConstViolations[folder][prop]['incorrect']\n",
    "    invConstViolationsSummary[folder]['total'] = invConstViolationsSummary[folder]['correct'] + invConstViolationsSummary[folder]['incorrect']\n",
    "    invConstViolationsSummary[folder]['percIncorrect'] = invConstViolationsSummary[folder]['incorrect'] / invConstViolationsSummary[folder]['total'] * 100\n",
    "    invConstViolationsSummary[folder]['propCount'] = len(invConstViolations[folder].keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "headed-singer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'mandatory': {'correct': 6872,\n",
       "  'incorrect': 170,\n",
       "  'total': 7042,\n",
       "  'percIncorrect': 2.4140869071286564,\n",
       "  'propCount': 6},\n",
       " 'normal': {'correct': 7489249,\n",
       "  'incorrect': 381880,\n",
       "  'total': 7871129,\n",
       "  'percIncorrect': 4.851654699090817,\n",
       "  'propCount': 100},\n",
       " 'suggestion': {'correct': 2150990,\n",
       "  'incorrect': 107016,\n",
       "  'total': 2258006,\n",
       "  'percIncorrect': 4.739402818238747,\n",
       "  'propCount': 4}}"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "invConstViolationsSummary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "russian-steering",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10136177"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "noOfStmts = 0\n",
    "for fold in invConstViolationsSummary.keys():\n",
    "    noOfStmts += invConstViolationsSummary[fold]['total']\n",
    "noOfStmts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "sustained-prediction",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>violation_ratio</th>\n",
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       "      <td>839</td>\n",
       "      <td>70</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.077008</td>\n",
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       "    <tr>\n",
       "      <th>P4147</th>\n",
       "      <td>286</td>\n",
       "      <td>8</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.027211</td>\n",
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       "    <tr>\n",
       "      <th>P450</th>\n",
       "      <td>1779</td>\n",
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       "      <th>P1151</th>\n",
       "      <td>1803</td>\n",
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       "      <th>P2033</th>\n",
       "      <td>1879</td>\n",
       "      <td>28</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.014683</td>\n",
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       "      <th>P4149</th>\n",
       "      <td>286</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.013793</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P2673     839        70  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P4147     286         8  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P450     1779        30  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P1151    1803        30  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P2033    1879        28  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P4149     286         4  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "\n",
       "       violation_ratio  \n",
       "P2673         0.077008  \n",
       "P4147         0.027211  \n",
       "P450          0.016584  \n",
       "P1151         0.016367  \n",
       "P2033         0.014683  \n",
       "P4149         0.013793  "
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "invConstDF1 = pd.DataFrame(invConstViolations['mandatory']).T\n",
    "invConstDF1['violation_ratio'] = invConstDF1.apply(lambda p: p.incorrect / (p.correct + p.incorrect), axis=1)\n",
    "invConstDF1.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "valid-symposium",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>incorrect</th>\n",
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       "      <th>violation_ratio</th>\n",
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       "      <th>P1434</th>\n",
       "      <td>3677</td>\n",
       "      <td>5071</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
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       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.051816</td>\n",
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       "    <tr>\n",
       "      <th>P156</th>\n",
       "      <td>1036636</td>\n",
       "      <td>44187</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.040883</td>\n",
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       "      <th>P629</th>\n",
       "      <td>74030</td>\n",
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       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.014746</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "       correct incorrect                                              paths  \\\n",
       "P1434     3677      5071  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P155   1036647     56650  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P156   1036636     44187  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P629     74030      1108  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "\n",
       "       violation_ratio  \n",
       "P1434         0.579675  \n",
       "P155          0.051816  \n",
       "P156          0.040883  \n",
       "P629          0.014746  "
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "invConstDF2 = pd.DataFrame(invConstViolations['suggestion']).T\n",
    "invConstDF2['violation_ratio'] = invConstDF2.apply(lambda p: p.incorrect / (p.correct + p.incorrect), axis=1)\n",
    "invConstDF2.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "resident-mustang",
   "metadata": {},
   "outputs": [
    {
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       "      <th>incorrect</th>\n",
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       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1605</th>\n",
       "      <td>13</td>\n",
       "      <td>191</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.936275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3448</th>\n",
       "      <td>605</td>\n",
       "      <td>4595</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.883654</td>\n",
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       "    <tr>\n",
       "      <th>P926</th>\n",
       "      <td>1</td>\n",
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       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.857143</td>\n",
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       "      <th>P1029</th>\n",
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       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.844543</td>\n",
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       "    <tr>\n",
       "      <th>P925</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P115</th>\n",
       "      <td>6948</td>\n",
       "      <td>25081</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.783072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5134</th>\n",
       "      <td>23</td>\n",
       "      <td>54</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.701299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3816</th>\n",
       "      <td>14</td>\n",
       "      <td>27</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.658537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1283</th>\n",
       "      <td>1405</td>\n",
       "      <td>2479</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.638260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8625</th>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.625000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P425</th>\n",
       "      <td>2741</td>\n",
       "      <td>3337</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.549029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5132</th>\n",
       "      <td>81</td>\n",
       "      <td>90</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2512</th>\n",
       "      <td>221</td>\n",
       "      <td>172</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.437659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1677</th>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2578</th>\n",
       "      <td>1111</td>\n",
       "      <td>723</td>\n",
       "      <td>[../../allConstraintsAnalysis_WRemoved_Final/i...</td>\n",
       "      <td>0.394220</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P1605      13       191  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P3448     605      4595  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P926        1         6  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P1029     490      2662  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P925        1         5  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P115     6948     25081  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P5134      23        54  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P3816      14        27  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P1283    1405      2479  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P8625       9        15  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P425     2741      3337  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P5132      81        90  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P2512     221       172  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P1677       6         4  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "P2578    1111       723  [../../allConstraintsAnalysis_WRemoved_Final/i...   \n",
       "\n",
       "       violation_ratio  \n",
       "P1605         0.936275  \n",
       "P3448         0.883654  \n",
       "P926          0.857143  \n",
       "P1029         0.844543  \n",
       "P925          0.833333  \n",
       "P115          0.783072  \n",
       "P5134         0.701299  \n",
       "P3816         0.658537  \n",
       "P1283         0.638260  \n",
       "P8625         0.625000  \n",
       "P425          0.549029  \n",
       "P5132         0.526316  \n",
       "P2512         0.437659  \n",
       "P1677         0.400000  \n",
       "P2578         0.394220  "
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "invConstDF3 = pd.DataFrame(invConstViolations['normal']).T\n",
    "invConstDF3['violation_ratio'] = invConstDF3.apply(lambda p: p.incorrect / (p.correct + p.incorrect), axis=1)\n",
    "invConstDF3.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "entire-gauge",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Symmetric Normal Constraint - Violation Ratios')"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEICAYAAABF82P+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAdG0lEQVR4nO3de5gdVZnv8e+PhItAIEACCiEEEFBARU4L3o2CCAHB2yhxQHCAeJ2jR2YULyOIjpfjQXREDRnhCYgioAOTGYICCkYdEAIGCCByMUgSJOESkgCCgff8sVYnxWbt7upO712d9O/zPPvpqlqrqt66vntV1a5WRGBmZtZqg6YDMDOz4ckJwszMipwgzMysyAnCzMyKnCDMzKzICcLMzIqcIOxZJE2X9C9NxzHUJF0t6fim4xhqw217SbpM0jE16k2SFJJGD3I+n5H0/cGM202SJkpaKWlU07EMhhPEIEh6raT/kfSopIcl/VbSK5qOqy+SjpX0m/7qRcQHI+KLg5j+AklLJG1WGXa8pKsHOq0mSNpd0kWSHszb9WZJn+jkgZ3X2YFrM42BbC9JMyV9abDzysno3MLwl0l6UtLWEXFIRJwz2Hm0me9kSQurwyLiyxEx5Ak/HydP55P6ckk3STpsAOM/a5tGxJ8jYvOIeHqoY+0GJ4gBkrQF8N/At4GtgR2ALwBPNhnXUBiCk+Eo4GNDEIckdW3flLQr8DvgPuAlEbEl8HdADzCmW3EU4hrUt+sOOgd4R/VLQHY08N8R8XADMXXCNRGxOTAW+C7wY0ljG42oKRHhzwA+pJPGsjZlGwEPk04yvcO2BR4HxgOTgYXAJ4ElwP3A24ApwB/zuJ+pjHsKcBFwHrACuAXYHfh0Hv8+4KBK/S2Bs/J0FwFfIp20Xwz8FXgaWNkbPzAT+B4wG3gMODAP+1JlmkcA84DlwN3AwW2WfQFwUl6GsXnY8cDVlTqvBq4HHs1/X10puxr4V+C3wBPAC4EAPgzcmZf/i8CuwP/keC4ENsrjb0VK3EuBR3L3hJbpH98m9vOAS/vZ7ocDtwLL8rRe3LLs/wTcnJftAmCTXDYux7Isr5tfk76Y/QB4Ji/ryrxPTMrLfBzwZ2BOnsZFwF/ytOcAe1XmvXp7sWb/OpE1+9f7c9k04G/AU3l+/zXI/f8O4H2V/lHAYuCI1vWcl/NzwL05nnOBLXNZ77KOzv3vB27P2/ke4AN5+GZ5HT2T414JbE86Ns5b2+1TWL5jgd9U+jfNcb4i9+8K/BJ4CHgQ+CFr9ve+tmnvcm4PzMr7wl3ACZV57QfMJe3bDwDfaPx813QA69oH2CLvHOcAhwBbtZR/F/hapf9jvQdjPoBXAZ8HNgROIJ3QfkT6prpX3rl2zvVPIZ3Y3wKMzgfYn4DPVsb/U2VeFwNn5oNqW+C6yoH2rB0/D5uZD5jXkA7mTXj2CWe/XP7mXL4D8KI262UBKcH8R2X81QmC1Np6hPRtczQwNfdvk8uvJp0U98rlG+YD6z/zOt+L1Er7BbALKRneBhyTx98GeCfpgB5DOqleUonvatoniL+QT6RtyncnJdA357g+mQ/ujSrLfh3p4N+adKL7YC77CjA9j7ch8DpA1XVWmc+kvMzn5m34vDz8H/IybQx8E5jXsg2rCWIVcGqe1xTSl5OtWuuuxf7/WeDKSv9bSPvwhq3rOcd9V95em+d94wcty9p74jyUdPIV8IYc976V5VrYEscp5ASxNtunsHzHko8TUvL7CCmpbpuHvTDPZ2PSl745wDdbj4PCNu1dzjmkc8QmwD553b0pl10DHJ27Nwde2fj5rukA1sUP6Rv5TNK3tVWkbwTb5bL9SSe63pPAXODduXsyKQGMyv1j8s6zf2XaNwBvy92nAFdUyt5K+mbSOv5YYDvSCfR5lfpTgaty9+odv1I+Ezi3MKz3hHMmcHrNdbKAlCD2JiWV8Tw7QRwNXNcyzjXAsbn7auDUlvIAXtOybj5V6T+tenC2jLsP8Eil/2raJ4i/0aZllMv/Bbiw0r8BqYU2ubLsR1XK/y8wPXefSkpyL2y3zir9k/Iy79JHLGNznS0L26t3/xpdqb+EfKJhaBLExLy+JuT+HwLfKq1nUjL/cKVsjzzuaFpOnIX5XAJ8rLJcfSWIQW+fwnyPJR3Ty3KsT5CP3zb13wb8vsY2HQ3sSGrFj6mUfwWYmbvnkC5Xj1ubbTSUH9+DGISIuD0ijo2ICaQT4vakb3ZExO9I334mS3oR6RvHrMroD8WaG1ZP5L8PVMqfIH17oE3Zg4XxNwd2In17ul/SMknLSCf4bftZnPv6KNuRdFmptoiYT7qkclJL0fakSw1V95JaJX3F0rr8xXUlaVNJZ0q6V9Jy0sE2tuZ9lYeAF/RR/qzYI+KZHGs19r9Uuh9nzTb8Ounb7OWS7pHUul5KVq8HSaMkfVXS3Xm5FuSice2WJSJWtYmlT/nJoJX5M71UJyL+TFq3R0nanHSCfM6N66x1m99LOlFuV5j3IZKuzQ99LCO1ftotY5/zGeD2Kbk2IsaSLlvOIrX6euPcTtKPJS3K2+O8Acb5cESsqAyrHgPHkVpDf5B0/UBujneKE8Raiog/kL6Z7V0ZfA5wFOlb808i4q9dCOU+UgtiXESMzZ8tImKv3lDbjNdueO80dx1ELCeTLn9VD9DFpCRWNZH0Ta9OLP05kfQNdf+I2AJ4fR6uGuNeSbo81c6zYpckUvJc1HaMLCJWRMSJEbEL6Tr5JyQd0FvcbrRK93tJ94EOJF1Wm9QbRn/z7me6pVi/HOmJm80j4oN9VD2HtG+/k3SJ84Y29Vq3+UTSt/NqkkfSxsBPgf9HaomPJd0X613G/vaLQW+fvkTESuBDwNGSXp4HfznH85K8nx3Fs7dFX7EuBraWVH3wYfUxEBF3RsRU0pe6rwE/KTwQ0FVOEAMk6UWSTpQ0IffvSLqUc22l2nnA20k7T7tvV0MqIu4HLgdOk7SFpA0k7SrpDbnKA8AESRsNYLJnAe+XdECe3g65VdRfLHeRbgT+78rg2cDukt4rabSk9wB7klobQ2EMqUWxTNLWpCRV18nAqyV9XdLzASS9UNJ5+emVC4FD83rYkJSMniTdLO+TpMPytES69PY06UYmpG2yS43lepLUytmUdIIarDrzq+OnpBPbF0jJop3zgf8jaefc2vgycEFLCwfSwx0bk67Hr5J0CHBQS9zbSNqyzXwGvX36E+nJrO+T7htC2h4rgUcl7QD8c8sobddxRNyXY/qKpE0kvZTUajgPQNJRksbnFtCyPNozpWl1ixPEwK0g3Wf4naTHSIlhPmmnBFbvCDeSvk38uouxvY90sN1GugH8E9ZcOvkl6SmPv0h6sM7EIuI60tMlp5NObr/iua2Adk4l3WjtndZDwGGk9fQQ6UbiYRFRK5Yavgk8j/RkybXAz+qOGBF3A68ifTu/VdKjpJPgXGBFRNxBSvbfztN/K/DWiHiqxuR3I7VQVpLuuXw3Iq7KZV8BPpcvCf5Tm/HPJV2GWETarte2qVfHWcCeeX6XDHYiEfEYaf1MIN2DaOds0pM9c0gPV/wV+MfC9FaQvkxcSNpv30vlsmxupZ8P3JNj375l/LXZPnV8E5iST+hfAPYlHQ+Xkm68V/W3TaeS9rPFpIdKTo6IK3PZwaT9byXwLeDIiHiiMI2u6b2RakNM0tnA4oj4XNOxmJkNxnD7Ic56QdIk4B3Ay/upamY2bPkS0xCT9EXSJaevR8Sfmo7HzGywfInJzMyK3IIwM7Oi9eoexLhx42LSpElNh2Fmts644YYbHoyI8aWy9SpBTJo0iblz5zYdhpnZOkNS6xsOVvMlJjMzK3KCMDOzIicIMzMrcoIwM7MiJwgzMytygjAzsyInCDMzK3KCMDOzIicIMzMrWq9+Sb02Jp106eruBV89tMFIzMyGB7cgzMysyAnCzMyKnCDMzKzICcLMzIqcIMzMrMgJwszMipwgzMysyAnCzMyKnCDMzKzICcLMzIqcIMzMrMgJwszMijr2sj5JZwOHAUsiYu887AJgj1xlLLAsIvYpjLsAWAE8DayKiJ5OxWlmZmWdfJvrTOAM4NzeARHxnt5uSacBj/Yx/hsj4sGORWdmZn3qWIKIiDmSJpXKJAl4N/CmTs3fzMzWTlP3IF4HPBARd7YpD+BySTdImtbXhCRNkzRX0tylS5cOeaBmZiNVUwliKnB+H+WvjYh9gUOAj0h6fbuKETEjInoiomf8+PFDHaeZ2YjV9QQhaTTwDuCCdnUiYlH+uwS4GNivO9GZmVmvJloQBwJ/iIiFpUJJm0ka09sNHATM72J8ZmZGBxOEpPOBa4A9JC2UdFwuOpKWy0uStpc0O/duB/xG0k3AdcClEfGzTsVpZmZlnXyKaWqb4ccWhi0GpuTue4CXdSouMzOrx7+kNjOzIicIMzMrcoIwM7MiJwgzMytygjAzsyInCDMzK3KCMDOzIicIMzMrcoIwM7MiJwgzMytygjAzsyInCDMzK3KCMDOzIicIMzMrcoIwM7MiJwgzMytygjAzsyInCDMzK+rk/6Q+W9ISSfMrw06RtEjSvPyZ0mbcgyXdIekuSSd1KkYzM2uvky2ImcDBheGnR8Q++TO7tVDSKOA7wCHAnsBUSXt2ME4zMyvoWIKIiDnAw4MYdT/groi4JyKeAn4MHDGkwZmZWb+auAfxUUk350tQWxXKdwDuq/QvzMOKJE2TNFfS3KVLlw51rGZmI1a3E8T3gF2BfYD7gdPWdoIRMSMieiKiZ/z48Ws7OTMzy7qaICLigYh4OiKeAf6ddDmp1SJgx0r/hDzMzMy6qKsJQtILKr1vB+YXql0P7CZpZ0kbAUcCs7oRn5mZrTG6UxOWdD4wGRgnaSFwMjBZ0j5AAAuAD+S62wPfj4gpEbFK0keBnwOjgLMj4tZOxWlmZmUdSxARMbUw+Kw2dRcDUyr9s4HnPAJrZmbd419Sm5lZkROEmZkVOUGYmVmRE4SZmRU5QZiZWZEThJmZFTlBmJlZkROEmZkVOUGYmVmRE4SZmRU5QZiZWZEThJmZFTlBmJlZkROEmZkVOUGYmVmRE4SZmRU5QZiZWZEThJmZFXUsQUg6W9ISSfMrw74u6Q+SbpZ0saSxbcZdIOkWSfMkze1UjGZm1l4nWxAzgYNbhl0B7B0RLwX+CHy6j/HfGBH7RERPh+IzM7M+dCxBRMQc4OGWYZdHxKrcey0woVPzNzOztdPkPYh/AC5rUxbA5ZJukDStizGZmVk2uomZSvossAr4YZsqr42IRZK2Ba6Q9IfcIilNaxowDWDixIkdidfMbCTqegtC0rHAYcDfR0SU6kTEovx3CXAxsF+76UXEjIjoiYie8ePHdyBiM7ORqasJQtLBwCeBwyPi8TZ1NpM0prcbOAiYX6prZmad08nHXM8HrgH2kLRQ0nHAGcAY0mWjeZKm57rbS5qdR90O+I2km4DrgEsj4meditPMzMpq3YOQ9JKIuGUgE46IqYXBZ7WpuxiYkrvvAV42kHmZmdnQq9uC+K6k6yR9WNKWHY3IzMyGhVoJIiJeB/w9sCNwg6QfSXpzRyMzM7NG1b4HERF3Ap8DPgW8Afi3/NqMd3QqODMza06tBCHppZJOB24H3gS8NSJenLtP72B8ZmbWkLo/lPs28H3gMxHxRO/AiFgs6XMdiczMzBpVN0EcCjwREU8DSNoA2CQiHo+IH3QsOjMza0zdexBXAs+r9G+ah5mZ2XqqboLYJCJW9vbk7k07E5KZmQ0HdRPEY5L27e2R9L+AJ/qob2Zm67i69yA+DlwkaTEg4PnAezoVlJmZNa9WgoiI6yW9CNgjD7ojIv7WubDMzKxpA/l/EK8AJuVx9pVERJzbkajMzKxxdV/W9wNgV2Ae8HQeHIAThJnZeqpuC6IH2LPdP/gxM7P1T92nmOaTbkybmdkIUbcFMQ64TdJ1wJO9AyPi8I5EZWZmjaubIE7pZBBmZjb81H3M9VeSdgJ2i4grJW0KjOpsaGZm1qS6r/s+AfgJcGYetANwSYdiMjOzYaDuTeqPAK8BlsPqfx60bX8jSTpb0hJJ8yvDtpZ0haQ789+t2ox7TK5zp6RjasZpZmZDpG6CeDIinurtkTSa9DuI/swEDm4ZdhLwi4jYDfhF7n8WSVsDJwP7A/sBJ7dLJGZm1hl1E8SvJH0GeF7+X9QXAf/V30gRMQd4uGXwEcA5ufsc4G2FUd8CXBERD0fEI8AVPDfRmJlZB9V9iukk4DjgFuADwGzSf5gbjO0i4v7c/Rdgu0KdHYD7Kv0L87DnkDQNmAYwceLEQYb0bJNOunR194KvHjok0zQzW9fUfYrpGeDf82fIRERIWqtfZ0fEDGAGQE9Pj3/pbWY2ROq+i+lPFO45RMQug5jnA5JeEBH3S3oBsKRQZxEwudI/Abh6EPMyM7NBGsi7mHptAvwdsPUg5zkLOAb4av77n4U6Pwe+XLkxfRDw6UHOz8zMBqHWTeqIeKjyWRQR3wT6vTgv6XzgGmAPSQslHUdKDG+WdCdwYO5HUo+k7+f5PQx8Ebg+f07Nw8zMrEvqXmLat9K7AalF0e+4ETG1TdEBhbpzgeMr/WcDZ9eJz8zMhl7dS0ynVbpXAQuAdw95NGZmNmzUfYrpjZ0OxMzMhpe6l5g+0Vd5RHxjaMIxM7PhYiBPMb2C9AQSwFuB64A7OxGUmZk1r26CmADsGxErACSdAlwaEUd1KjAzM2tW3XcxbQc8Vel/ivIrMszMbD1RtwVxLnCdpItz/9tY88I9MzNbD9V9iulfJV0GvC4Pen9E/L5zYZmZWdPqXmIC2BRYHhHfAhZK2rlDMZmZ2TBQ91+Ongx8ijXvQ9oQOK9TQZmZWfPqtiDeDhwOPAYQEYuBMZ0KyszMmlc3QTwVEUF+5bekzToXkpmZDQd1E8SFks4Exko6AbiSIf7nQWZmNrz0+xSTJAEXAC8ClgN7AJ+PiCs6HJuZmTWoziu7Q9LsiHgJ4KRgZjZC1L3EdKOkV3Q0EjMzG1bq/pJ6f+AoSQtITzKJ1Lh4aacCMzOzZvWZICRNjIg/A2/pUjxmZjZM9HeJ6RKAiLgX+EZE3Fv9DGaGkvaQNK/yWS7p4y11Jkt6tFLn84OZl5mZDV5/l5hU6d5lKGYYEXcA+wBIGgUsAi4uVP11RBw2FPM0M7OB668FEW26h8oBwN2DbY2YmVnn9JcgXpYvAa0AXpq7l0taIWn5EMz/SOD8NmWvknSTpMsk7dVuApKmSZorae7SpUuHICQzM4N+LjFFxKhOzVjSRqT3O326UHwjsFNErJQ0hXQvZLc2Mc4AZgD09PR0opVjZjYiDeR130PtEODGiHigtSAilkfEytw9G9hQ0rhuB2hmNpI1mSCm0ubykqTn51d8IGk/UpwPdTE2M7MRr+4P5YZUfhvsm4EPVIZ9ECAipgPvAj4kaRXwBHBkfpusmZl1SSMJIiIeA7ZpGTa90n0GcEa34zIzszWavMRkZmbDmBOEmZkVOUGYmVmRE4SZmRU5QZiZWZEThJmZFTlBmJlZkROEmZkVOUGYmVmRE4SZmRU18qqNkW7SSZeu7l7w1UMbjMTMrD23IMzMrMgJwszMipwgzMysyAnCzMyKnCDMzKzICcLMzIqcIMzMrKixBCFpgaRbJM2TNLdQLkn/JukuSTdL2reJOM3MRqqmfyj3xoh4sE3ZIcBu+bM/8L3818zMumA4X2I6Ajg3kmuBsZJe0HRQZmYjRZMtiAAulxTAmRExo6V8B+C+Sv/CPOz+aiVJ04BpABMnThzyIP1aDDMbqZpsQbw2IvYlXUr6iKTXD2YiETEjInoiomf8+PFDG6GZ2QjWWIKIiEX57xLgYmC/liqLgB0r/RPyMDMz64JGEoSkzSSN6e0GDgLmt1SbBbwvP830SuDRiLgfMzPriqbuQWwHXCypN4YfRcTPJH0QICKmA7OBKcBdwOPA+xuK1cxsRGokQUTEPcDLCsOnV7oD+Eg34zIzszWG82OuZmbWICcIMzMrcoIwM7MiJwgzMytygjAzs6KmX9a3zmr3Co7q8Cq/psPM1jVuQZiZWZEThJmZFTlBmJlZkROEmZkVOUGYmVmRE4SZmRU5QZiZWZEThJmZFTlBmJlZkROEmZkV+VUbA9DuNRrrg3avDjGzkcstCDMzK+p6gpC0o6SrJN0m6VZJHyvUmSzpUUnz8ufz3Y7TzGyka+IS0yrgxIi4UdIY4AZJV0TEbS31fh0RhzUQn5mZ0UALIiLuj4gbc/cK4HZgh27HYWZmfWv0HoSkScDLgd8Vil8l6SZJl0naq7uRmZlZY08xSdoc+Cnw8YhY3lJ8I7BTRKyUNAW4BNitzXSmAdMAJk6c2LmAzcxGmEZaEJI2JCWHH0bEf7SWR8TyiFiZu2cDG0oaV5pWRMyIiJ6I6Bk/fnxH4zYzG0maeIpJwFnA7RHxjTZ1np/rIWk/UpwPdS9KMzNr4hLTa4CjgVskzcvDPgNMBIiI6cC7gA9JWgU8ARwZEdFArGZmI1bXE0RE/AZQP3XOAM7oTkRmZlbiV210SbvXdLR7xcVAh9ed7tpY25gGMs1uGy5xmA0nftWGmZkVOUGYmVmRE4SZmRU5QZiZWZEThJmZFTlBmJlZkROEmZkVOUGYmVmRE4SZmRU5QZiZWZFftTEE2r1Go9PTGcxrNzqt3bzavZqjznTqvPqi26/KaOrVHJ143Umn5j2ct+FQzqvO/txuHsP9NTVuQZiZWZEThJmZFTlBmJlZkROEmZkVOUGYmVmRE4SZmRU5QZiZWVEjCULSwZLukHSXpJMK5RtLuiCX/07SpAbCNDMb0bqeICSNAr4DHALsCUyVtGdLteOARyLihcDpwNe6G6WZmTXRgtgPuCsi7omIp4AfA0e01DkCOCd3/wQ4QJK6GKOZ2YiniOjuDKV3AQdHxPG5/2hg/4j4aKXO/FxnYe6/O9d5sDC9acC03LsHcMcgQxsHPGf6I4zXgdcBeB3AyFoHO0XE+FLBOv8upoiYAcxY2+lImhsRPUMQ0jrL68DrALwOwOugVxOXmBYBO1b6J+RhxTqSRgNbAg91JTozMwOaSRDXA7tJ2lnSRsCRwKyWOrOAY3L3u4BfRrevhZmZjXBdv8QUEaskfRT4OTAKODsibpV0KjA3ImYBZwE/kHQX8DApiXTaWl+mWg94HXgdgNcBeB0ADdykNjOzdYN/SW1mZkVOEGZmVjTiEsRIf81HjeX/hKTbJN0s6ReSdmoizk7rbz1U6r1TUkha7x55rLMOJL077w+3SvpRt2PstBrHw0RJV0n6fT4mpjQRZ2MiYsR8SDfF7wZ2ATYCbgL2bKnzYWB67j4SuKDpuLu8/G8ENs3dH1qfln8g6yHXGwPMAa4FepqOu4F9YTfg98BWuX/bpuNuYB3MAD6Uu/cEFjQddzc/I60FMdJf89Hv8kfEVRHxeO69lvQ7lfVNnf0A4Iuk94D9tZvBdUmddXAC8J2IeAQgIpZ0OcZOq7MOAtgid28JLO5ifI0baQliB+C+Sv/CPKxYJyJWAY8C23Qlus6rs/xVxwGXdTSiZvS7HiTtC+wYEZd2M7AuqrMv7A7sLum3kq6VdHDXouuOOuvgFOAoSQuB2cA/die04WGdf9WGdYako4Ae4A1Nx9JtkjYAvgEc23AoTRtNusw0mdSSnCPpJRGxrMmgumwqMDMiTpP0KtLvs/aOiGeaDqwbRloLYqS/5qPO8iPpQOCzwOER8WSXYuum/tbDGGBv4GpJC4BXArPWsxvVdfaFhcCsiPhbRPwJ+CMpYawv6qyD44ALASLiGmAT0ov8RoSRliBG+ms++l1+SS8HziQlh/XtmnOvPtdDRDwaEeMiYlJETCLdizk8IuY2E25H1DkWLiG1HpA0jnTJ6Z4uxthpddbBn4EDACS9mJQglnY1ygaNqASR7yn0vubjduDCyK/5kHR4rnYWsE1+zccngLaPQK5rai7/14HNgYskzZPUesCs82quh/VazXXwc+AhSbcBVwH/HBHrS2u67jo4EThB0k3A+cCx69EXxn75VRtmZlY0oloQZmZWnxOEmZkVOUGYmVmRE4SZmRU5QZiZWZEThJmZFTlBmJlZ0f8HxtJobqrrvl0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "invConstDF3.sort_values(by=['violation_ratio'],ascending=False)['violation_ratio'].plot.hist(bins=100).set_title(\"Symmetric Normal Constraint - Violation Ratios\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "infectious-clothing",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.concat([invConstDF1, invConstDF2, invConstDF3]).to_csv('../../allConstraintsAnalysis_WRemoved_Final/invConstDFAnalysis.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "working-stable",
   "metadata": {},
   "source": [
    "### Find out time required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "saved-twelve",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "codepConstViolations = {}\n",
    "\n",
    "codepConstViolations = {}\n",
    "codepConstPropList = set()\n",
    "\n",
    "def extractTimes(filename):\n",
    "    times = []\n",
    "    with open(filename) as f:\n",
    "        for line in f:\n",
    "            if \"real\" in line:\n",
    "                line = line.strip()\n",
    "                time1 = line.split(\"\\t\")[1]\n",
    "                mins, sec = time1.split(\"m\")\n",
    "                mins = int(mins)\n",
    "                sec = float(sec[:-1])\n",
    "                times.append(60 * mins + sec)\n",
    "    return times\n",
    "\n",
    "# codepConstViolationsSummary = {}\n",
    "times = []\n",
    "filePath = '/data/wd-correctness/propertiesSplit_WRemoved_Final/checkViolations/exec_logs/'\n",
    "for filename in tqdm(os.listdir(filePath)):\n",
    "    if filename.startswith(\"invConst_Validator\"):\n",
    "        tempTimes = extractTimes(filePath + filename)\n",
    "        times += tempTimes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "caroline-observation",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(pd.Series(times).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "static-conclusion",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "sns.lineplot(data=pd.Series(times)).set_title(\"Distribution of times (in s) taken for symmetric constraint checks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "mature-suite",
   "metadata": {},
   "source": [
    "# Combine Plots for constraints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "behind-nurse",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "typeConstDF = pd.read_csv(\"../../allConstraintsAnalysis_WRemoved_Final/typeConstDFAnalysis.csv\")\n",
    "typeConstDF = typeConstDF.set_index(typeConstDF.iloc[:, 0])\n",
    "\n",
    "valTypeConstDF = pd.read_csv(\"../../allConstraintsAnalysis_WRemoved_Final/valueTypeConstDFAnalysis.csv\")\n",
    "valTypeConstDF = valTypeConstDF.set_index(valTypeConstDF.iloc[:, 0])\n",
    "\n",
    "codepConstDF1 = pd.read_csv(\"../../allConstraintsAnalysis_WRemoved_Final/codepConstDFAnalysis.csv\")\n",
    "codepConstDF1 = codepConstDF1.set_index(codepConstDF1.iloc[:, 0])\n",
    "\n",
    "symmConstDF = pd.read_csv(\"../../allConstraintsAnalysis_WRemoved_Final/symmConstDFAnalysis.csv\")\n",
    "symmConstDF = symmConstDF.set_index(symmConstDF.iloc[:, 0])\n",
    "\n",
    "invConstDF = pd.read_csv(\"../../allConstraintsAnalysis_WRemoved_Final/invConstDFAnalysis.csv\")\n",
    "invConstDF = invConstDF.set_index(invConstDF.iloc[:, 0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ultimate-chorus",
   "metadata": {},
   "outputs": [],
   "source": [
    "typeConstDF1 = typeConstDF.add_suffix(\"_type_const\")['violation_ratio_type_const'].rename().sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dynamic-castle",
   "metadata": {},
   "outputs": [],
   "source": [
    "valTypeConstDF1 = valTypeConstDF.add_suffix(\"_valuetype_const\")['violation_ratio_valuetype_const'].sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "global-performer",
   "metadata": {},
   "outputs": [],
   "source": [
    "codepConstDF1_1 = codepConstDF1.add_suffix(\"_codep_const\")['violation_ratio_codep_const'].sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "enabling-instrumentation",
   "metadata": {},
   "outputs": [],
   "source": [
    "symmConstDF1_1 = symmConstDF.add_suffix(\"_symm_const\")['violation_ratio_symm_const'].sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "realistic-cannon",
   "metadata": {},
   "outputs": [],
   "source": [
    "invConstDF1_1 = invConstDF.add_suffix(\"_inv_const\")['violation_ratio_inv_const'].sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "about-coalition",
   "metadata": {},
   "outputs": [],
   "source": [
    "typeConstDF1.index.names = ['property']\n",
    "typeConstDF1 = typeConstDF1.reset_index().reset_index()\n",
    "typeConstDF1['index'] = typeConstDF1['index'].apply(lambda p: (p+1) * 100/len(typeConstDF1))\n",
    "typeConstDF1 = typeConstDF1.set_index('index')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "hidden-anaheim",
   "metadata": {},
   "outputs": [],
   "source": [
    "valTypeConstDF1.index.names = ['property']\n",
    "valTypeConstDF1 = valTypeConstDF1.reset_index().reset_index()\n",
    "valTypeConstDF1['index'] = valTypeConstDF1['index'].apply(lambda p: (p+1) * 100/len(valTypeConstDF1))\n",
    "valTypeConstDF1 = valTypeConstDF1.set_index('index')['violation_ratio_valuetype_const']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "toxic-straight",
   "metadata": {},
   "outputs": [],
   "source": [
    "codepConstDF1_1.index.names = ['property']\n",
    "codepConstDF1_1 = codepConstDF1_1.reset_index().reset_index()\n",
    "codepConstDF1_1['index'] = codepConstDF1_1['index'].apply(lambda p: (p+1) * 100/len(codepConstDF1_1))\n",
    "codepConstDF1_1 = codepConstDF1_1.set_index('index')['violation_ratio_codep_const']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "legal-socket",
   "metadata": {},
   "outputs": [],
   "source": [
    "symmConstDF1_1.index.names = ['property']\n",
    "symmConstDF1_1 = symmConstDF1_1.reset_index().reset_index()\n",
    "symmConstDF1_1['index'] = symmConstDF1_1['index'].apply(lambda p: (p+1) * 100/len(symmConstDF1_1))\n",
    "symmConstDF1_1 = symmConstDF1_1.set_index('index')['violation_ratio_symm_const']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "dietary-attack",
   "metadata": {},
   "outputs": [],
   "source": [
    "invConstDF1_1.index.names = ['property']\n",
    "invConstDF1_1 = invConstDF1_1.reset_index().reset_index()\n",
    "invConstDF1_1['index'] = invConstDF1_1['index'].apply(lambda p: (p+1) * 100/len(invConstDF1_1))\n",
    "invConstDF1_1 = invConstDF1_1.set_index('index')['violation_ratio_inv_const']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "familiar-packing",
   "metadata": {},
   "outputs": [],
   "source": [
    "typeConstDF2 = [np.percentile(typeConstDF1,i)*100 for i in range(1, 101)]\n",
    "valTypeConstDF2 = [np.percentile(valTypeConstDF1,i)*100 for i in range(1, 101)]\n",
    "codepConstDF1_2 = [np.percentile(codepConstDF1_1,i)*100 for i in range(1, 101)]\n",
    "symmConstDF1_2 = [np.percentile(symmConstDF1_1,i)*100 for i in range(1, 101)]\n",
    "invConstDF1_2 = [np.percentile(invConstDF1_1,i)*100 for i in range(1, 101)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "forward-tutorial",
   "metadata": {},
   "outputs": [],
   "source": [
    "constAnalysisDF = pd.DataFrame({'index':list(range(1, 101)), 'type': typeConstDF2, 'value type': valTypeConstDF2, 'irs': codepConstDF1_2, 'symmetric': symmConstDF1_2, 'inverse': invConstDF1_2})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "mobile-rings",
   "metadata": {},
   "outputs": [],
   "source": [
    "constAnalysisDF = constAnalysisDF.melt('index', var_name='constraint',  value_name='VR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "contrary-conviction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>constraint</th>\n",
       "      <th>VR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>type</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>type</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>type</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>type</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>type</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index constraint   VR\n",
       "0      1       type  0.0\n",
       "1      2       type  0.0\n",
       "2      3       type  0.0\n",
       "3      4       type  0.0\n",
       "4      5       type  0.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "constAnalysisDF.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ruled-rough",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Proportion of properties (in %)'),\n",
       " Text(0, 0.5, 'Violation Ratio (in %)')]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "ax = sns.lineplot(x='index', y='VR', hue='constraint', data=constAnalysisDF)\n",
    "ax.set(xlabel=\"Proportion of properties (in %)\", ylabel = \"Violation Ratio (in %)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eleven-album",
   "metadata": {},
   "source": [
    "Fin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "brilliant-drawing",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "kgtkEnv",
   "language": "python",
   "name": "kgtkenv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "318px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
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     "delete_cmd_prefix": "del ",
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     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
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     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
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    "height": "40px",
    "left": "1170px",
    "right": "20px",
    "top": "120px",
    "width": "250px"
   },
   "types_to_exclude": [
    "module",
    "function",
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 },
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}