{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "honest-owner",
   "metadata": {},
   "outputs": [],
   "source": [
    "!kgtk cat -i ../../gdrive-kgtk-dump-2020-12-07/claims.tsv.gz \\\n",
    "    ../../data/removed_statements.tsv \\\n",
    "    -o ../../data/claims.w_removed_statements.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "juvenile-ability",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "51f315ee082443c0910cd6f1584aafcc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1225987894 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "IOPub message rate exceeded.\n",
      "The notebook server will temporarily stop sending output\n",
      "to the client in order to avoid crashing it.\n",
      "To change this limit, set the config variable\n",
      "`--NotebookApp.iopub_msg_rate_limit`.\n",
      "\n",
      "Current values:\n",
      "NotebookApp.iopub_msg_rate_limit=1000.0 (msgs/sec)\n",
      "NotebookApp.rate_limit_window=3.0 (secs)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import gzip\n",
    "from tqdm.notebook import tqdm\n",
    "propFileDict = {}\n",
    "fileLineCount = 1225987894\n",
    "with open('../../data/claims.w_removed_statements.tsv','r') as fin: \n",
    "    headerLine = next(fin)\n",
    "#     tstCount = 0\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",
    "#         print('got line', lineP)\n",
    "        if prop not in propFileDict:\n",
    "            propFileDict[prop] = open(\"../../propertiesSplitWRemovedWRemoved/claims.\"+str(prop)+\".tsv\",\"w\")\n",
    "            propFileDict[prop].write(headerLine)\n",
    "        propFileDict[prop].write(line)\n",
    "#         tstCount += 1\n",
    "#         if tstCount == 10:\n",
    "#             break\n",
    "    for file1 in propFileDict.values():\n",
    "        file1.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "knowing-bryan",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-03-12 19:33:50 sqlstore]: IMPORT graph directly into table graph_11 from /data/wd-correctness/propertiesSplit/claims.P996.tsv ...\n",
      "[2021-03-12 19:33:51 sqlstore]: IMPORT graph directly into table graph_12 from /data/wd-correctness/wikidata-20210215/derived.isastar.tsv.gz ...\n",
      "^C\n"
     ]
    }
   ],
   "source": [
    "!kgtk --debug query -i ../../propertiesSplitWRemoved/claims.P996.tsv \\\n",
    "    ../../constraintsOP/typeConstraint/claims.type-constraints_all.tsv \\\n",
    "    ../../wikidata-20210215/derived.isastar.tsv.gz \\\n",
    "    --match \"m: (node1)-[nodeProp]->(node2), c: (rLabel)-[:P2308]->(parent), d: (node1)-[]->(par), c: (eLabel)-[:P2303]->(eNode)\" \\\n",
    "    --where 'nodeProp.label = rLabel and (par = parent or (rLabel = eLabel and node1 = eNode))' \\\n",
    "    --return 'nodeProp.id, node1, nodeProp.label, node2, max(parent) as `node1;ancestor`' \\\n",
    "    -o ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P996.correct.tsv \\\n",
    "    --graph-cache ~/sqlite3_caches/mandConst001.sqlite3.db ; \\\n",
    " kgtk --debug ifnotexists -i ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P996.all.tsv \\\n",
    "    --filter-on ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P996.correct.tsv \\\n",
    "    --filter-mode NONE \\\n",
    "    --input-keys node1 label \\\n",
    "    --filter-keys node1 label \\\n",
    "    -o ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P996.incorrect.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "abstract-retreat",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-03-12 22:33:26 query]: SQL Translation:\r\n",
      "---------------------------------------------\r\n",
      "  SELECT graph_11_c1.\"id\", graph_11_c1.\"node1\", graph_11_c1.\"label\", graph_11_c1.\"node2\"\r\n",
      "     FROM graph_11 AS graph_11_c1, graph_14 AS graph_14_c2\r\n",
      "     WHERE graph_11_c1.\"node1\"=graph_14_c2.\"node1\"\r\n",
      "     AND (graph_14_c2.\"node2\" IN (?, ?, ?))\r\n",
      "  PARAS: ['Q1238720', 'Q3331189', 'Q47461344']\r\n",
      "---------------------------------------------\r\n"
     ]
    }
   ],
   "source": [
    "!kgtk --debug query -i ../../propertiesSplitWRemoved/claims.P996.tsv \\\n",
    "    ../../wikidata-20210215/derived.isastar.tsv.gz \\\n",
    "    --match \"m: (node1)-[nodeProp]->(node2), d: (node1)-[]->(par)\" \\\n",
    "    --where 'par in [\"Q1238720\",\"Q3331189\",\"Q47461344\"]' \\\n",
    "    --return 'nodeProp.id, node1, nodeProp.label, node2' \\\n",
    "    -o ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P996.correct.tsv \\\n",
    "    --graph-cache ~/sqlite3_caches/mandConst001.sqlite3.db ; \\\n",
    " kgtk --debug ifnotexists -i ../../propertiesSplitWRemoved/claims.P996.tsv \\\n",
    "    --filter-on ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P996.correct.tsv \\\n",
    "    --filter-mode NONE \\\n",
    "    --input-keys node1 label \\\n",
    "    --filter-keys node1 label \\\n",
    "    -o ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P996.incorrect.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "strange-truck",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "81289 ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P996.correct.tsv\r\n"
     ]
    }
   ],
   "source": [
    "!wc -l ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P996.correct.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "finnish-hampton",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-03-12 22:49:54 sqlstore]: IMPORT graph directly into table graph_15 from /data/wd-correctness/propertiesSplit/claims.P991.tsv ...\n",
      "[2021-03-12 22:49:54 query]: SQL Translation:\n",
      "---------------------------------------------\n",
      "  SELECT graph_15_c1.\"id\", graph_15_c1.\"node1\", graph_15_c1.\"label\", graph_15_c1.\"node2\"\n",
      "     FROM graph_15 AS graph_15_c1, graph_5 AS graph_5_c2\n",
      "     WHERE graph_15_c1.\"node1\"=graph_5_c2.\"node1\"\n",
      "     AND (graph_5_c2.\"node2\" IN (?))\n",
      "  PARAS: ['Q40231']\n",
      "---------------------------------------------\n",
      "[2021-03-12 22:49:55 sqlstore]: CREATE INDEX on table graph_15 column node1 ...\n",
      "[2021-03-12 22:49:55 sqlstore]: ANALYZE INDEX on table graph_15 column node1 ...\n"
     ]
    }
   ],
   "source": [
    "!kgtk --debug query -i ../../propertiesSplitWRemoved/claims.P991.tsv \\\n",
    "    ../../wikidata-20210215/derived.P31P279star.tsv.gz \\\n",
    "    --match \"m: (node1)-[nodeProp]->(node2), d: (node1)-[]->(par)\" \\\n",
    "    --where 'par in [\"Q40231\"]' \\\n",
    "    --return 'nodeProp.id, node1, nodeProp.label, node2' \\\n",
    "    -o ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P991.correct.tsv \\\n",
    "    --graph-cache ~/sqlite3_caches/mandConst001.sqlite3.db ; \\\n",
    " kgtk --debug ifnotexists -i ../../propertiesSplitWRemoved/claims.P991.tsv \\\n",
    "    --filter-on ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P991.correct.tsv \\\n",
    "    --filter-mode NONE \\\n",
    "    --input-keys node1 label \\\n",
    "    --filter-keys node1 label \\\n",
    "    -o ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P991.incorrect.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "elegant-reverse",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-03-12 23:54:56 sqlstore]: IMPORT graph directly into table graph_16 from /data/wd-correctness/propertiesSplit/claims.P965.tsv ...\n",
      "[2021-03-12 23:54:56 query]: SQL Translation:\n",
      "---------------------------------------------\n",
      "  SELECT graph_16_c1.\"id\", graph_5_c2.\"node1\", graph_16_c1.\"label\", graph_16_c1.\"node2\"\n",
      "     FROM graph_16 AS graph_16_c1, graph_5 AS graph_5_c2\n",
      "     WHERE graph_16_c1.\"node1\"=graph_5_c2.\"node1\"\n",
      "     AND (graph_5_c2.\"node2\" IN (?))\n",
      "  PARAS: ['Q6023295']\n",
      "---------------------------------------------\n",
      "[2021-03-12 23:54:56 sqlstore]: CREATE INDEX on table graph_16 column node1 ...\n",
      "[2021-03-12 23:54:56 sqlstore]: ANALYZE INDEX on table graph_16 column node1 ...\n"
     ]
    }
   ],
   "source": [
    "!kgtk --debug query -i ../../propertiesSplitWRemoved/claims.P965.tsv \\\n",
    "    ../../wikidata-20210215/derived.P31P279star.tsv.gz \\\n",
    "    --match \"m: (node1)-[nodeProp]->(node2), d: (node1)-[]->(par)\" \\\n",
    "    --where 'par in [\"Q6023295\"]' \\\n",
    "    --return 'nodeProp.id, node1, nodeProp.label, node2' \\\n",
    "    -o ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P965.correct.tsv \\\n",
    "    --graph-cache ~/sqlite3_caches/mandConst001.sqlite3.db ; \\\n",
    " kgtk --debug ifnotexists -i ../../propertiesSplitWRemoved/claims.P965.tsv \\\n",
    "    --filter-on ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P965.correct.tsv \\\n",
    "    --filter-mode NONE \\\n",
    "    --input-keys node1 label \\\n",
    "    --filter-keys node1 label \\\n",
    "    -o ../../constraintsOP/typeConstraint/claims.type-constraints.mandatory.instanceOf.P965.incorrect.tsv"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "matched-strength",
   "metadata": {},
   "source": [
    "# Generate Queries"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "black-insured",
   "metadata": {},
   "source": [
    "## Type Constraint"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "interior-humor",
   "metadata": {},
   "source": [
    "### Understand Constraints File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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": 6,
   "id": "assured-cleaners",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = df.groupby(['node1','label']).node2.apply(lambda p: p.tolist()).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "sharing-evolution",
   "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>node1</th>\n",
       "      <th>label</th>\n",
       "      <th>node2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>P1001</td>\n",
       "      <td>P2308</td>\n",
       "      <td>[Q102496, Q105985, Q1140371, Q1151067, Q119768...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>P1001</td>\n",
       "      <td>P2309</td>\n",
       "      <td>[Q30208840]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>P1002</td>\n",
       "      <td>P2308</td>\n",
       "      <td>[Q630010]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>P1002</td>\n",
       "      <td>P2309</td>\n",
       "      <td>[Q21514624]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>P1004</td>\n",
       "      <td>P2308</td>\n",
       "      <td>[Q2221906, Q23413, Q3947, Q41176, Q88291]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   node1  label                                              node2\n",
       "0  P1001  P2308  [Q102496, Q105985, Q1140371, Q1151067, Q119768...\n",
       "1  P1001  P2309                                        [Q30208840]\n",
       "2  P1002  P2308                                          [Q630010]\n",
       "3  P1002  P2309                                        [Q21514624]\n",
       "4  P1004  P2308          [Q2221906, Q23413, Q3947, Q41176, Q88291]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "still-trail",
   "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>node1</th>\n",
       "      <th>label</th>\n",
       "      <th>node2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>P105</td>\n",
       "      <td>P2308</td>\n",
       "      <td>[Q16521]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>P105</td>\n",
       "      <td>P2309</td>\n",
       "      <td>[Q21503252]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>P105</td>\n",
       "      <td>P2316</td>\n",
       "      <td>[Q21502408]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   node1  label        node2\n",
       "69  P105  P2308     [Q16521]\n",
       "70  P105  P2309  [Q21503252]\n",
       "71  P105  P2316  [Q21502408]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[df1['node1'] == 'P105']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "solid-browser",
   "metadata": {},
   "source": [
    "### Query Generator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bright-impossible",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8774a89ab86f413f9a434b082221d163",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/4810 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Something failed for prop: P1249\n",
      "Something failed for prop: P6790\n"
     ]
    }
   ],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import os.path\n",
    "import os\n",
    "\n",
    "cnt = 0\n",
    "fCnt = 1\n",
    "fOP = None\n",
    "for prop in tqdm(df1.node1.unique()):\n",
    "    try:\n",
    "        if not(os.path.isfile(\"../../propertiesSplitWRemoved/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_Final'\n",
    "        shellFileSuffix = 'typeConstraintValidator'\n",
    "        \n",
    "        if cnt % 120 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fOP = open(\"../../propertiesSplitWRemoved/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "            fCnt += 1\n",
    "        \n",
    "        fOP.write(\"{ time (kgtk --debug query -i ../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct.tsv \\\n",
    "        --graph-cache ~/sqlite3_caches/const120_\" + str(fCnt) + \".sqlite3.db; \\\n",
    "         kgtk --debug ifnotexists -i ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "        --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct.tsv \\\n",
    "        --filter-mode NONE \\\n",
    "        --input-keys node1 label \\\n",
    "        --filter-keys node1 label \\\n",
    "        -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect.tsv ) } 2>> ../../propertiesSplitWRemoved/checkViolations/exec_logs/\" + shellFileSuffix + str(fCnt) + \".txt;\")\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": 18,
   "id": "electrical-agreement",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3743"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "outside-stupid",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,33):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplitWRemoved/checkViolations/typeConstraintValidator\"+str(i)+\".sh\")\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "competitive-canvas",
   "metadata": {},
   "source": [
    "### Analyze Violations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "casual-perth",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "c5d144cbeb1d49598b7a30efc4bfb7af",
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      },
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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      },
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2e8cece4fc4c4bb5833818595fdd33de",
       "version_major": 2,
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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",
    "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 = \"../../allConstraintsAnalysisWRemoved/typeConstraint_Final/\"+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",
    "        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": 2,
   "id": "widespread-sector",
   "metadata": {},
   "outputs": [],
   "source": [
    "# countLines(\"../../allConstraintsAnalysisWRemoved/typeConstraint/mandatory/claims.type-constraints.subclass.P534.incorrect.tsv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "golden-affiliate",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3743 properties processed for type constraint for 551873462 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": 4,
   "id": "needed-portfolio",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "typeConstDF = pd.DataFrame(violations).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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": 6,
   "id": "flying-context",
   "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>P1370</th>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>0.363636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6686</th>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>0.068966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3785</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>0.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2336</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4602</th>\n",
       "      <td>2018</td>\n",
       "      <td>13</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>0.006401</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P1370       7         4  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P6686      27         2  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P3785       4         3  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P2336       1         0  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P4602    2018        13  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "\n",
       "       violation_ratio  \n",
       "P1370         0.363636  \n",
       "P6686         0.068966  \n",
       "P3785         0.428571  \n",
       "P2336         0.000000  \n",
       "P4602         0.006401  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeConstDF.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "competitive-peeing",
   "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>P8894</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4866</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5083</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4031</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3855</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1760</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6880</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3968</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5086</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4172</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6128</th>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4217</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5633</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5298</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6700</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P8894       0         1  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P4866       0         1  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P5083       0         1  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P4031       0         2  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P3855       0         4  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P1760       0         2  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P6880       0         3  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P3968       0         1  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P5086       0         1  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P4172       0         2  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P6128       0        33  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P4217       0         2  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P5633       0         4  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P5298       0         1  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P6700       0         3  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "\n",
       "       violation_ratio  \n",
       "P8894              1.0  \n",
       "P4866              1.0  \n",
       "P5083              1.0  \n",
       "P4031              1.0  \n",
       "P3855              1.0  \n",
       "P1760              1.0  \n",
       "P6880              1.0  \n",
       "P3968              1.0  \n",
       "P5086              1.0  \n",
       "P4172              1.0  \n",
       "P6128              1.0  \n",
       "P4217              1.0  \n",
       "P5633              1.0  \n",
       "P5298              1.0  \n",
       "P6700              1.0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeConstDF.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "backed-corruption",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['../../allConstraintsAnalysisWRemoved/typeConstraint_Final/normal/claims.type-constraints.instanceOf.P4945.correct.tsv',\n",
       " '../../allConstraintsAnalysisWRemoved/typeConstraint_Final/normal/claims.type-constraints.instanceOf.P4945.incorrect.tsv']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(typeConstDF.loc['P4945'].paths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "clinical-lawsuit",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    3743.000000\n",
       "mean        0.367622\n",
       "std         0.367966\n",
       "min         0.000000\n",
       "25%         0.016360\n",
       "50%         0.240000\n",
       "75%         0.700000\n",
       "max         1.000000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeConstDF['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "wanted-domestic",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Type Constraint Violation Ratios')"
      ]
     },
     "execution_count": 12,
     "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": 13,
   "id": "sufficient-hollywood",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Type Constraint Violation Ratios (<=0.05)')"
      ]
     },
     "execution_count": 13,
     "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": 14,
   "id": "minor-marshall",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of constraints whose violation ratio is greater than mean :0/3743\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": 15,
   "id": "special-consensus",
   "metadata": {},
   "outputs": [],
   "source": [
    "# typeConstDF.sort_values(by=['incorrect'],ascending=False).head(5).paths.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "excited-person",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !cat ../../allConstraintsAnalysisWRemoved/typeConstraint/normal/claims.type-constraints.instanceOf.P953.incorrect.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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": 18,
   "id": "emotional-favorite",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'mandatory': {'instanceOf': {'correct': 46445731, 'incorrect': 865083},\n",
       "  'subclass': {'correct': 2067, 'incorrect': 70},\n",
       "  'instanceOfOrSubclass': {'correct': 1735862, 'incorrect': 13873},\n",
       "  'propCount': 612,\n",
       "  'correct': 48183660,\n",
       "  'incorrect': 879026,\n",
       "  'VR': 0.017916385580683456},\n",
       " 'suggestion': {'instanceOf': {'correct': 74911, 'incorrect': 24201},\n",
       "  'subclass': {'correct': 0, 'incorrect': 0},\n",
       "  'instanceOfOrSubclass': {'correct': 24245, 'incorrect': 3485},\n",
       "  'propCount': 29,\n",
       "  'correct': 99156,\n",
       "  'incorrect': 27686,\n",
       "  'VR': 0.21827155043282193},\n",
       " 'normal': {'instanceOf': {'correct': 426732789, 'incorrect': 5965156},\n",
       "  'subclass': {'correct': 108191, 'incorrect': 17963},\n",
       "  'instanceOfOrSubclass': {'correct': 68863493, 'incorrect': 996342},\n",
       "  'propCount': 3102,\n",
       "  'correct': 495704473,\n",
       "  'incorrect': 6979461,\n",
       "  'VR': 0.01388439241426005}}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeConstViolations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>148843205</td>\n",
       "      <td>927027</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>0.006190</td>\n",
       "      <td>149770232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1476</th>\n",
       "      <td>44059166</td>\n",
       "      <td>208472</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</td>\n",
       "      <td>0.004709</td>\n",
       "      <td>44267638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P577</th>\n",
       "      <td>39990807</td>\n",
       "      <td>165864</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/typeCons...</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>[../../allConstraintsAnalysisWRemoved/typeCons...</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>[../../allConstraintsAnalysisWRemoved/typeCons...</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  148843205    927027  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P1476   44059166    208472  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P577    39990807    165864  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P1433   37028672    112955  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "P1215   33425605    316565  [../../allConstraintsAnalysisWRemoved/typeCons...   \n",
       "\n",
       "       violation_ratio      total  \n",
       "P2093         0.006190  149770232  \n",
       "P1476         0.004709   44267638  \n",
       "P577          0.004130   40156671  \n",
       "P1433         0.003041   37141627  \n",
       "P1215         0.009382   33742170  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "typeConstDF['total'] = typeConstDF['correct'] + typeConstDF['incorrect']\n",
    "typeConstDF.sort_values(by=['total'],ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bearing-kruger",
   "metadata": {},
   "source": [
    "### Find out time required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "assumed-toner",
   "metadata": {},
   "outputs": [],
   "source": [
    "# from tqdm.notebook import tqdm\n",
    "# import os.path\n",
    "\n",
    "# cnt = 0\n",
    "# fCnt = 1\n",
    "# for prop in tqdm(df1.node1.unique()):\n",
    "#     try:\n",
    "#         if not(os.path.isfile(\"../../propertiesSplitWRemoved/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",
    "\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",
    "# #         print(prop, relation, type1, parents, exceptions)\n",
    "\n",
    "#         if relation == \"Q21503252\":\n",
    "#             parentFile = \"P31P279star\"\n",
    "#             parentTitle = 'instanceOf'\n",
    "#         elif relation == \"Q21514624\":\n",
    "#             parentFile = \"P279star\"\n",
    "#             parentTitle = 'subclass'\n",
    "#         else:\n",
    "#             parentFile = \"isastar\"\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",
    "#         if cnt % 100 == 0:\n",
    "#             fOP = open(\"../../propertiesSplitWRemoved/checkViolations/TimedTypeConstraintValidator\" + str(fCnt) + \".sh\",\"w\")\n",
    "#             fCnt += 1\n",
    "        \n",
    "#         fOP.write(\"{ time kgtk --debug query -i ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "#         ../../wikidata-20210215/derived.\" + parentFile + \".tsv.gz \\\n",
    "#         --match 'm: (node1)-[nodeProp]->(node2), d: (node1)-[]->(par)' \\\n",
    "#         --where 'par in \" + str(parents).replace(\"'\",'\"') + \" \" + exceptionPart + \"' \\\n",
    "#         --return 'nodeProp.id, node1, nodeProp.label, node2' \\\n",
    "#         -o ../../allConstraintsAnalysisWRemoved/TimedTypeConstraint/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct.tsv \\\n",
    "#         --graph-cache ~/sqlite3_caches/const2123_\" + str(fCnt) + \".sqlite3.db; } 2>> ../../propertiesSplitWRemoved/checkViolations/exec_logs/TimedTypeConstraint_TimedTypeConstraintValidator\" + str(fCnt) + \".txt ; \\\n",
    "#          kgtk --debug ifnotexists -i ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "#         --filter-on ../../allConstraintsAnalysisWRemoved/TimedTypeConstraint/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct.tsv \\\n",
    "#         --filter-mode NONE \\\n",
    "#         --input-keys node1 label \\\n",
    "#         --filter-keys node1 label \\\n",
    "#         -o ../../allConstraintsAnalysisWRemoved/TimedTypeConstraint/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect.tsv\\n\")\n",
    "\n",
    "#         cnt += 1\n",
    "#     except:\n",
    "#         print(\"Something failed for prop:\",prop)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "veterinary-fault",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "52944ea021934d23b3d4ab3fb1f091f7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/122 [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",
    "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/propertiesSplitWRemoved/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": 94,
   "id": "infinite-assembly",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    1456.000000\n",
      "mean      138.470137\n",
      "std       216.121977\n",
      "min         2.111000\n",
      "25%        23.664500\n",
      "50%        43.875000\n",
      "75%       158.037250\n",
      "max      2177.421000\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(pd.Series(times).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "opened-essex",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of times (in s) taken for type constraint checks')"
      ]
     },
     "execution_count": 95,
     "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": [
    "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"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "animated-companion",
   "metadata": {},
   "source": [
    "### Understand Constraints File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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": 21,
   "id": "worthy-malawi",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfValueType = dfValueType.groupby(['node1','label']).node2.apply(lambda p: p.tolist()).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "eleven-tiffany",
   "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>node1</th>\n",
       "      <th>label</th>\n",
       "      <th>node2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>P1000</td>\n",
       "      <td>P2308</td>\n",
       "      <td>[Q1241356]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>P1000</td>\n",
       "      <td>P2309</td>\n",
       "      <td>[Q30208840]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>P1001</td>\n",
       "      <td>P2308</td>\n",
       "      <td>[Q20926517, Q2881272, Q2882257, Q3624078, Q389...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>P1001</td>\n",
       "      <td>P2309</td>\n",
       "      <td>[Q30208840]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>P1002</td>\n",
       "      <td>P2308</td>\n",
       "      <td>[Q2576663]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   node1  label                                              node2\n",
       "0  P1000  P2308                                         [Q1241356]\n",
       "1  P1000  P2309                                        [Q30208840]\n",
       "2  P1001  P2308  [Q20926517, Q2881272, Q2882257, Q3624078, Q389...\n",
       "3  P1001  P2309                                        [Q30208840]\n",
       "4  P1002  P2308                                         [Q2576663]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfValueType.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "expired-stuff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['P2308', 'P2309', 'P2303', 'P2316', 'P6607', 'P2304'], dtype=object)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfValueType['label'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "imposed-newsletter",
   "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>node1</th>\n",
       "      <th>label</th>\n",
       "      <th>node2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [node1, label, node2]\n",
       "Index: []"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfValueType[dfValueType['label'] == '2316']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "answering-alabama",
   "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>node1</th>\n",
       "      <th>label</th>\n",
       "      <th>node2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>P1659</td>\n",
       "      <td>P2308</td>\n",
       "      <td>[Q18616576]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>P1659</td>\n",
       "      <td>P2309</td>\n",
       "      <td>[Q21503252]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>P1659</td>\n",
       "      <td>P2316</td>\n",
       "      <td>[Q21502408]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     node1  label        node2\n",
       "330  P1659  P2308  [Q18616576]\n",
       "331  P1659  P2309  [Q21503252]\n",
       "332  P1659  P2316  [Q21502408]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfValueType[dfValueType['node1'] == 'P1659']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "danish-blackberry",
   "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>node1</th>\n",
       "      <th>label</th>\n",
       "      <th>node2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2031</th>\n",
       "      <td>P991</td>\n",
       "      <td>P2308</td>\n",
       "      <td>[Q5, Q7210356]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2032</th>\n",
       "      <td>P991</td>\n",
       "      <td>P2309</td>\n",
       "      <td>[Q21503252]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     node1  label           node2\n",
       "2031  P991  P2308  [Q5, Q7210356]\n",
       "2032  P991  P2309     [Q21503252]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfValueType[dfValueType.node1 == 'P991']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "digital-harvard",
   "metadata": {},
   "source": [
    "### Query Generator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "white-badge",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b96db3afdc724a0496617ce8c5838e6a",
       "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",
    "for prop in tqdm(dfValueType.node1.unique()):\n",
    "    try:\n",
    "        \n",
    "        if not(os.path.isfile(\"../../propertiesSplitWRemoved/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_Final4'\n",
    "        shellFileSuffix = 'valueTypeConstraintValidator'\n",
    "        \n",
    "        if cnt % 120 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fOP = open(\"../../propertiesSplitWRemoved/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "            fCnt += 1\n",
    "        \n",
    "        fOP.write(\"{ time (kgtk --debug query -i ../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct.tsv \\\n",
    "        --graph-cache ~/sqlite3_caches/const112_\" + str(fCnt) + \".sqlite3.db; \\\n",
    "         kgtk --debug ifnotexists -i ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "        --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".correct.tsv \\\n",
    "        --filter-mode NONE \\\n",
    "        --input-keys node1 label \\\n",
    "        --filter-keys node1 label \\\n",
    "        -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + typeVal + \"/claims.type-constraints.\" + parentTitle + \".\"+ prop +\".incorrect.tsv ) } 2>> ../../propertiesSplitWRemoved/checkViolations/exec_logs/\" + shellFileSuffix + str(fCnt) + \".txt;\\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": 30,
   "id": "qualified-cursor",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "904"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "simplified-cameroon",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,9):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplitWRemoved/checkViolations/valueTypeConstraintValidator\"+str(i)+\".sh\")\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "spectacular-warner",
   "metadata": {},
   "source": [
    "### Analyze Violations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "valid-defense",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "version_major": 2,
       "version_minor": 0
      },
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       "  0%|          | 0/216 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4d6ee69917854e399d21ef509a4b4fb6",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6d1e8918873840c48f5944c4d0ca6ba1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1582 [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",
    "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 = \"../../allConstraintsAnalysisWRemoved/valuetypeConstraint_Final4/\"+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",
    "        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": 21,
   "id": "experienced-quick",
   "metadata": {},
   "outputs": [],
   "source": [
    "# countLines(\"../../allConstraintsAnalysisWRemoved/typeConstraint/mandatory/claims.type-constraints.subclass.P534.incorrect.tsv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "refined-speaking",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "904 properties processed for value type constraint for 189304521 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": 23,
   "id": "designed-christian",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "valTypeConstDF = pd.DataFrame(violations).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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": 25,
   "id": "provincial-diploma",
   "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>P852</th>\n",
       "      <td>4526</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>0.000883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P853</th>\n",
       "      <td>1600</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>0.002494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2302</th>\n",
       "      <td>47918</td>\n",
       "      <td>26</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>0.000542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3092</th>\n",
       "      <td>7534</td>\n",
       "      <td>7</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>0.000928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3096</th>\n",
       "      <td>11193</td>\n",
       "      <td>10</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>0.000893</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P852     4526         4  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P853     1600         4  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P2302   47918        26  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P3092    7534         7  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P3096   11193        10  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "\n",
       "       violation_ratio  \n",
       "P852          0.000883  \n",
       "P853          0.002494  \n",
       "P2302         0.000542  \n",
       "P3092         0.000928  \n",
       "P3096         0.000893  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valTypeConstDF.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "neural-trail",
   "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>P5008</th>\n",
       "      <td>0</td>\n",
       "      <td>341961</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6104</th>\n",
       "      <td>0</td>\n",
       "      <td>9808</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2545</th>\n",
       "      <td>0</td>\n",
       "      <td>1378</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2668</th>\n",
       "      <td>0</td>\n",
       "      <td>179</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P7374</th>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3028</th>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2839</th>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3027</th>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2127</th>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P538</th>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2241</th>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4425</th>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6191</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6533</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6534</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/valuetyp...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P5008       0    341961  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P6104       0      9808  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P2545       0      1378  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P2668       0       179  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P7374       0        44  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P3028       0        15  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P2839       0        15  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P3027       0        13  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P2127       0        12  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P538        0        10  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P2241       0         6  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P4425       0         6  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P6191       0         5  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P6533       0         5  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "P6534       0         5  [../../allConstraintsAnalysisWRemoved/valuetyp...   \n",
       "\n",
       "       violation_ratio  \n",
       "P5008              1.0  \n",
       "P6104              1.0  \n",
       "P2545              1.0  \n",
       "P2668              1.0  \n",
       "P7374              1.0  \n",
       "P3028              1.0  \n",
       "P2839              1.0  \n",
       "P3027              1.0  \n",
       "P2127              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  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valTypeConstDF.sort_values(by=['violation_ratio','incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "cutting-polyester",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    904.000000\n",
       "mean       0.098485\n",
       "std        0.214803\n",
       "min        0.000000\n",
       "25%        0.001492\n",
       "50%        0.011225\n",
       "75%        0.063950\n",
       "max        1.000000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valTypeConstDF['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "alert-receiver",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Value Type Constraint Violation Ratios')"
      ]
     },
     "execution_count": 28,
     "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": 29,
   "id": "italian-motel",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Value Type Constraint Violation Ratios (<=0.04)')"
      ]
     },
     "execution_count": 29,
     "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": 30,
   "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": 31,
   "id": "quiet-gardening",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# valTypeConstDF.sort_values(by=['violation_ratio'],ascending=False).head().paths.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "documentary-pipeline",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !head ../../allConstraintsAnalysisWRemoved/typeConstraint/normal/claims.type-constraints.instanceOf.P7535.incorrect.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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": 34,
   "id": "satellite-concern",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'mandatory': {'instanceOf': {'correct': 11564885, 'incorrect': 8245},\n",
       "  'subclass': {'correct': 55983, 'incorrect': 28},\n",
       "  'instanceOfOrSubclass': {'correct': 13090, 'incorrect': 137},\n",
       "  'propCount': 108,\n",
       "  'correct': 11633958,\n",
       "  'incorrect': 8410,\n",
       "  'VR': 0.0007223616363956198},\n",
       " 'suggestion': {'instanceOf': {'correct': 46189, 'incorrect': 659},\n",
       "  'subclass': {'correct': 127, 'incorrect': 20},\n",
       "  'instanceOfOrSubclass': {'correct': 0, 'incorrect': 0},\n",
       "  'propCount': 5,\n",
       "  'correct': 46316,\n",
       "  'incorrect': 679,\n",
       "  'VR': 0.01444834556867752},\n",
       " 'normal': {'instanceOf': {'correct': 94112173, 'incorrect': 842434},\n",
       "  'subclass': {'correct': 4674914, 'incorrect': 9777},\n",
       "  'instanceOfOrSubclass': {'correct': 77686561, 'incorrect': 289299},\n",
       "  'propCount': 791,\n",
       "  'correct': 176473648,\n",
       "  'incorrect': 1141510,\n",
       "  'VR': 0.006426872643381034}}"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valueTypeConstViolations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "traditional-shakespeare",
   "metadata": {},
   "source": [
    "### Find out time required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "spoken-symphony",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "878ab763f4fa4cb9a540c8bf86ea76ec",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/297 [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",
    "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/propertiesSplitWRemoved/checkViolations/exec_logs/'\n",
    "for filename in tqdm(os.listdir(filePath)):\n",
    "    if filename.startswith(\"valueTypeConstraintValidator_xverify3\"):\n",
    "        tempTimes = extractTimes(filePath + filename)\n",
    "        times += tempTimes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "heavy-argentina",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count     897.000000\n",
      "mean       41.756467\n",
      "std       133.639231\n",
      "min         1.516000\n",
      "25%         3.236000\n",
      "50%         6.851000\n",
      "75%        24.280000\n",
      "max      1683.328000\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(pd.Series(times).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "organized-mixer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of times (in s) taken for value type constraint checks')"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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oihIoqmgURVGUQFFFoyiKogSKKhpFURQlUFTRKIqiKIGiikZRFEUJFFU0iqIoSqCoolEURVECRRWNoiiKEiiqaBRFUZRAUUWjKIqiBIoqGkVRFCVQVNEoiqIogaKKRlEURQkUVTSKoihKoKiiURRFUQJFFY2iKIoSKGkVjYjcJSK1IrLS5XaViFSLyFL7d7br3uUiUiEi60TkDJf7mdatQkQu8z8piqIoSimSyYjmbuBMD/cbjTEn2L/nAURkOnABcIx95u8iUiYiZcAtwFnAdOBC61dRFEUJOX3TeTDGvCEiUzIM7zzgIWNMK7BZRCqAk+29CmPMJgARecj6XZ29yIqiKEpPIp81mu+JyHI7tTbSuk0AKl1+qqxbMndPRGSWiJSLSHldXV0eIiqKoijFJldFcytwOHACsAP4s18CARhjbjfGzDDGzBg7dqyfQSuKoigFJu3UmRfGmJrYbxG5A3jWXlYDk1xeJ1o3UrgriqIoISanEY2IjHdd/hcQs0h7GrhARAaIyFRgGvAOsAiYJiJTRaQ/jsHA07mLrSiKovQU0o5oRORBYCYwRkSqgCuBmSJyAmCALcA3AYwxq0TkEZxF/g7gu8aYiA3ne8BLQBlwlzFmld+JUZR0bKzbx5TRQyjrI8UWRVF6DZlYnV3o4XxnCv/XAdd5uD8PPJ+VdL2EbbubeX19LRedOqXYooSaLbv2c9qfX+fbMw/n52ceVWxxFKXXkNMajeIvX/zHfHbubeFzJ01kcH99JUFR29QKQPmWPUWWRFF6F3oETQnQeKC92CIoiqIEhioaRVEUJVBU0SiKoiiBoopGURRFCRRVNIqiKEqgqKJRFEVRAkUVjaIoihIoqmgURVGUQFFFoyiKogSKKhpFURQlUFTRlBDGFFsCRVEU/1FFoyiKogSKKpoSQgc0iqKEEVU0iqIoSqCooikhjC7SKIoSQlTRKIqiKIGiiqaE0PGMoihhRBWNoiiKEiiqaEoIXaJRFCWMpFU0InKXiNSKyEqX2x9FZK2ILBeRJ0RkhHWfIiIHRGSp/bvN9cxJIrJCRCpE5GYRkUBSpCiKopQUmYxo7gbOTHB7BTjWGHMcsB643HVvozHmBPv3LZf7rcD/AtPsX2KYio5oFEUJIWkVjTHmDWBPgtvLxpgOe7kAmJgqDBEZDwwzxiwwjg3vvcD5OUmsKIqi9Cj8WKP5OvCC63qqiCwRkddF5CPWbQJQ5fJTZd08EZFZIlIuIuV1dXU+iNgzMDqkURQlhOSlaETkF0AHcL912gEcaow5EfgR8ICIDMs2XGPM7caYGcaYGWPHjs1HxB6FGgMoihJG+ub6oIh8FTgXOM1Oh2GMaQVa7e/FIrIROAKoJn56baJ1UxRFUUJOTiMaETkT+BnwGWNMs8t9rIiU2d+H4Sz6bzLG7AD2isgp1trsK8BTeUsfMnRAoyhKGEk7ohGRB4GZwBgRqQKuxLEyGwC8Yq2UF1gLs48CV4tIOxAFvmWMiRkSfAfHgm0QzpqOe11HURRFCSlpFY0x5kIP5zuT+P0P8J8k98qBY7OSrpehh2oqihJG9GQARVEUJVBU0ZQQOp5RFCWMqKJRFEVRAkUVTQmhSzSKooQRVTSKoihKoKiiKSH0CBpFUcKIKhpFURQlUFTRlBI6oFEUJYSoolEURVECRRVNCaEDGkVRwogqGkVRFCVQVNGUELqPRlGUMKKKRlEURQkUVTQlhO6jURQljKiiURRFUQJFFU0JoWs0iqKEEVU0JYTqGUVRwogqGkUpIT536zxmXDu72GIoiq+k/ZSzUjj0U87K4q31xRZBUXxHRzSKoihKoGSkaETkLhGpFZGVLrdRIvKKiGyw/0dadxGRm0WkQkSWi8j7XM9cbP1vEJGL/U9OaZNuxNJbBzTra5poPNBebDEURQmITEc0dwNnJrhdBswxxkwD5thrgLOAafZvFnArOIoJuBL4AHAycGVMOSm9m0/d+Aafv3VescVQFCUgMlI0xpg3gD0JzucB99jf9wDnu9zvNQ4LgBEiMh44A3jFGLPHGFMPvEJ35RVqeuuIJRM21O4rtgiKogREPms044wxO+zvncA4+3sCUOnyV2XdkrkriqIoIcYXYwDjLD741l8XkVkiUi4i5XV1dX4FW3TSZZCOeBRFCSP5KJoaOyWG/V9r3auBSS5/E61bMvduGGNuN8bMMMbMGDt2bE7Cbazbx7yKXTk9qyiKovhHPormaSBmOXYx8JTL/SvW+uwUoNFOsb0EfEpERlojgE9Zt0A47c+v89//XBhU8IGgh2oqihJGMtqwKSIPAjOBMSJShWM9dj3wiIh8A9gKfNF6fx44G6gAmoGvARhj9ojINcAi6+9qY0yigUGocWYYpdhiKIqiFJSMFI0x5sIkt07z8GuA7yYJ5y7groyl62VkskbT0NxG44F2Jo8eErxAiqIoPqAnAxQQPybGTr/hdT72x9d8CElRFKUwqKIpITJRRLv2tQUuh6Ioip+ooikgar5cXPTQUkUpDqpoSghtCBVFCSOqaAqImi8XF819RSkOqmhKCG0Ig0UHjIpSHFTRKIqiKIGiiqaApOtRa487WHTqUlGKgyqakqL3NYRqAJE9Le0Rava2FFsMRckYVTRKUSmongmJTpt132I+8Ns5xRZDUTJGFU0JoZ17JRPeWB+eT2covQNVNAVEFUl3dECjKOFHFU0J0RsbQl2jUfziiF++wI8eXlpsMRQPVNHkyP0Lt3Li1S9n9YxaPRUX1Wnhpq0jyuNLPL+lqBSZjD4ToHTnF0+sBJweuYg/35jpjQ1hL0yyovQ6dESjFJVCKlcdUSpKcVBFkyfZNJRpN2z2woawN6ZZUXobqmjyRJvJnkPYpibVkELpKaiiyZNsKns6n72x3eiNafYLzTulp6CKJk+0rvcc9F0pSnFQRZMn2a3RpPbcG3uovTHNfqFZp/QUclY0InKkiCx1/e0VkUtF5CoRqXa5n+165nIRqRCRdSJyhj9JKC66mN1zCNuaRtjSo4SXnPfRGGPWAScAiEgZUA08AXwNuNEY8ye3fxGZDlwAHAMcAswWkSOMMZFcZSgF/KzrvVFp9cY0+4XmnNJT8Gvq7DRgozFmawo/5wEPGWNajTGbgQrgZJ/i7xFow9Cdwu6jCRc6oFF6Cn4pmguAB13X3xOR5SJyl4iMtG4TgEqXnyrr1g0RmSUi5SJSXldX2ifV+jqi6YUNRy9Msm/oaFDpKeStaESkP/AZ4FHrdCtwOM602g7gz9mGaYy53RgzwxgzY+zYsfmKWDL0RkVSUoQs/7U8KT0FP0Y0ZwHvGmNqAIwxNcaYiDEmCtxB1/RYNTDJ9dxE69aj0V5lfuiCtqKEHz8UzYW4ps1EZLzr3n8BK+3vp4ELRGSAiEwFpgHv+BB/UcmqndQ2tRuF/R6NvgBFKQZ5nd4sIkOATwLfdDn/QUROwGlDtsTuGWNWicgjwGqgA/huT7c4A38byt7Yue+NafYLzTulp5CXojHG7AdGJ7hdlML/dcB1+cRZamR3BE2aDZva4w6UsDXMWl6UnoKeDJAnWtXzRDMwZ8KmOJXwooomT4pl3hyWRfRC9spDkmWdhCw5SohRRZMvPn6PJqtoQ9LKhCUdxSAsnQ0l/KiiyRM/e+RqwBYsmmeKUhxU0RQQfy3UwtFshiMVxUHzTukpqKLJE3+nw/z7iFpPoZAKMyzKOUbIkqOEGFU0eZLVdJePLYM2MkpoehtK6Am9ogm6F+ur8sjKbzhamcKeDBAuwlIGlPATekUTNLqAnx86MssdzTulpxB6RRN0ZSzePhr/4i0muo8md0KWHCXEhF/RBB6+VndFUZRUhF/RBD6kycJrWr9ZWJ2FRb8VNB1hyTSHsFnRKeEl9IomaIpV1UtxJLWyupG7396c1TOll4qeg+ad0lPI6/TmnkDgU2fZjGjSnd7cw9dozv3rWwB89UNTM36mkOkoxTzLh7ClRwkvoR/RhLUyhjRZShaU4qhWUbwIv6IJuDJmFX4ar8Xa/FlMCmp1VrCYCkToEpQ7YagPOxtbqKhtKrYYgRD+qbMeZN6cVbzFidZ3QtA+KCVAGMrRKb+bA8CW688psiT+E/oRTdD4uWGzp6/R5EJBTwYISZ7FCFlylBCjiiZPijZk11Yma8K2phE2xZkPmhWlTegVTU+aOgvDPHO29MY0+0XYFGc+aDkqbfJWNCKyRURWiMhSESm3bqNE5BUR2WD/j7TuIiI3i0iFiCwXkfflG386Sqky+qqUSihd+aDmzbkTtvTkg2ZFaePXiObjxpgTjDEz7PVlwBxjzDRgjr0GOAuYZv9mAbf6FH/R8Fd5FCdepWeiRaALrQ+lTVBTZ+cB99jf9wDnu9zvNQ4LgBEiMj4gGYACTJ1lc2yMnxs2M/dacEp1GqM0pcqdUs3nYhCWEX5Y8UPRGOBlEVksIrOs2zhjzA77eycwzv6eAFS6nq2ybnGIyCwRKReR8rq6uryFCyOl3Mj0Rus5pbhoOSpt/NhH82FjTLWIvAd4RUTWum8aY4yIZFUMjDG3A7cDzJgxI68iFPyHz/zzm93oqHQp1Q+4lbJyzoWQJUcJMXmPaIwx1fZ/LfAEcDJQE5sSs/9rrfdqYJLr8YnWrcdStEM1S7iRiWYhXCmnQ+k5aDkqbfJSNCIyRESGxn4DnwJWAk8DF1tvFwNP2d9PA1+x1menAI2uKbZACP5QzeCtAW59bSM/fXRZgtfSrVla6QuD5rPSU8h3RDMOeEtElgHvAM8ZY14Ergc+KSIbgNPtNcDzwCagArgD+E6e8afFqzK+sGIHrR0Rf8IPyK+b37+4lkcXV/kTWAEIyxRgqVPKnY1Co3lR2uS1RmOM2QQc7+G+GzjNw90A380nzqxJKH9vV+zi2/e/yyUfnsovz52ef/DFMm/2L1rfyW7dqpBrNAWLqiCELT35oHlR2oT+ZIBEGprbAdjeeMCnELNZj/CvNpRyxSpl2cKEZnMXmhelTegVTeCfCfD1CBr/wiompTp11pOmV8JmIRc0ml+lTfgVTeAbNrPw20uOoNF9NIVBG9cu8smJlvYIe1vafZNF6U74FU3Q4RdJeZRyG5ONeXMhxzSlnGeJZCJrD0pO4OTzbs+/5W2Ou+pl/4RRuhF+RdOTWpcsKOVUlbJsPYVM8jCkRTs38siLtTvD+VXLUiL0iiYRv6ec/AyvVK21sqVUp85KOMu6kdn77UEJUno1oVc0PWnqrCfEmxEhORy01CnpMlBgSnnNUukNiiah/AkSaPj5+I3dbo9EaeuI5ixTsSnVI2h6UlOk45nsUKVb2oRf0SRUx1KeOosx49rZHP+b1IuTpVyxSlg039mzv4375m/xPdxSfr+liGZXaRN6RRM02X1DJrXn2Lx844F2DrSnPiKnlKcKslk/6umnN1/68FJ+9dQq1u7c63vY6SiGMjLGsL6m9BbPS3nNUukNiiZJ+Xt+xU7mrqv1vtkDKOV6Vay9RcVgz/5WANo7Cj9SLkZn44kl1XzqxjeYu7a06k4PL0ahJ/SKJlUBvHfelvzDD2CNJqOwsvBbaHSNJn8y2kdThASt3u6M3Cpq9xU+8hT09A5L2Am/ogn8ZAAt4d3QLCkI2rh2EaZ6GMZpwNArmqDJbo0mXw/ueDPz/O62euZv3J30fv3+NlrSrAdlS3Yjs+IOaaJRwyX3lPN2xa48gy584xCmxlXpIoR6JvyKpidVxiAOo/zs3+dx4R0Lkt4/8ZpX+MJt8zOONxNKderMi+b2CLPX1DDr3vKcnvfbXD5GsfOlxxGi/MruCKeeQfgVTQkdqulrvD5GvKK60b/AKN1GMpUiLzWRMzIGKDWhi0iYsiIapsRY8vrwWU8g+JMBsum9pzNvzirmbDwXlNKVTMmXUny3zyzbzojB/Yothm/0pFmYTAm9ogmaMIxo/CYT5RuJGpZWNtC/rHCDai+xSnWaolStzkqR7z+4pNgi+EoY32svmDoL9q35aQzgq2FBEckkHbfMreBzt86jfOue4AVKgSnRk34yO4Km8KUgmBUpxY0qmh5I8C+tOKWilAtjJrLFdtLvbGwJWJouvMQq3RFNcdZonlm2nSb9CFhRKdUymQ+hVzRBU7wNm6VbGEtZtkRilbon1m2/RV63s4nvP7iEn/9nuc8hK9mgisaFiEwSkbkislpEVonID637VSJSLSJL7d/ZrmcuF5EKEVknImf4kYB0qNVZ4SnVKUAvuSIlmpHFkKq5rQOA6voDRYi9+JTKRsnSkMJf8jEG6AB+bIx5V0SGAotF5BV770ZjzJ/cnkVkOnABcAxwCDBbRI4wxvi7W7DA+GkpVioFPV+y20dT3DT7FX0+4XzpH/PpI8KDs07JKjy/807EWYGJhWqMoSNq6Ocy2DCdfn2NuiQwpjTSVarrhvmQ84jGGLPDGPOu/d0ErAEmpHjkPOAhY0yrMWYzUAGcnGv8GcsZyv5BiY9oii1AErzKgl/TFPmEs3DzHuZvSn56QzL8zufENvahRZVM+8ULVDc4I5yK2ibm2VMmSrn85UqpTFlV1jdz5k1vUNfUWmxRfMOXNRoRmQKcCCy0Tt8TkeUicpeIjLRuE4BK12NVJFFMIjJLRMpFpLyuri4v2RLLjt9lyc9eZU9co/nTS+s4/YbX49xK9VPOXvi1Oc73RqqI5s2xcJ9Zth2ALbv2A3D6DW+wZkfhP4eQCq/6l2ud9KMs7N6Xv3L419tbWLuziSeWVOUvUImQt6IRkYOA/wCXGmP2ArcChwMnADuAP2cbpjHmdmPMDGPMjLFjx+YlX+AbNrPxm6cw7grkRyPjh5L829yKbif5Zvc9msLhuY/Gti75Km6/d3NnJo/fU2fZxF0aeO+NyjGsPNP94sodnHTtbBbkMDr1kqPYnTA/yUvRiEg/HCVzvzHmcQBjTI0xJmKMiQJ30DU9Vg1Mcj0+0boVlMR3t6luH9c8uzrnRtfPwpAuLL8bs6COuiik8s2X9kh+E+KxxjnqQ2ZmWwb9zrugzm0LEi9jjkiO7yLf/Hxncz0AK/M90snE/QsF+VidCXAnsMYYc4PLfbzL238BK+3vp4ELRGSAiEwFpgHv5Bp/piRW3sTrS+4t5863NrPZTg9kHX4AB2EmI+rziCbXCpmOYiuPZCSK1dIe4RN/ft3Tb7b4kZXvv25O5++MjAHyj9I73AwCLoVFc/Cessx1GjPf6U/fPxNfovUoF/KxOvsQcBGwQkSWWrcrgAtF5AScerAF+CaAMWaViDwCrMaxWPtuISzOEt9VYmHKuyfqa2FIZ5Xm9pl/xEEtfmanfItXm/a1dvgWlh/TkLtc8/vFbGN6UgMX9RiQ5q5o8hTGJzqt/kI0pslZ0Rhj3sL7RIrnUzxzHXBdrnHmQipjAD9eYy7TRNGo4aFFlXz+pIn079snwU/yEP0e0QTVoHhV/kLLkElkkvxW1vi+RlOEkwFKxeoqG7xkznWknm/6/Z567IGvIym97mQA/xuE7J95cmk1Vzyxgtte39gtrEwriR/JCGqzYk/piWUq5bLKBm6ZW5HST6aNVDRquO31jb4c8+L3PppYecjIDKFEXrHn1FmOy26lkqZi7y0LgtArmkcXV8Zduwum0LVJLVdyaVT3HnAamT3727rd60ihaOJHNCU8dZaVeXPhKlW3aVRXXqcqBufd8jZ/fGldyrAzzcuXV9dw/Qtr+d0La1P6K7zNWde7KJWGrj0Spaq+ufM6EjVx5tV7W9o9lUquHah80+1XB6tz6qxE3oMfhF7R/OP1TUSjhkfLKx0LoyTvLtdXmt1xK2nWYEjdYLl1kC/Tfj7uQO4JlSJRRLdSz9/0PDN/++260IG21MuTxfhMQJ4GeL5z5dOr+PDv59LQ7HTI/jJ7PWf95U3W7tzLc8t3cNxVL7O0qqHbcz1pjea1dbU0NnuPbntAlcqYXvE9mofLK7n88RU0HmjnzQ3e34b3wzzVD1JNnQU1VeIHbrGzOoLGNwmyJ9u5/GjU0KeP99An0zR32C543yThZIPfU5TZ5EchrM5eX+ds1t7X2sGIwf15d1sDAHVNrby5wbm3wkvR9JA1mobmNr76r0WcethoHvjfD3S6x8QojRbJH0I/ogHYstsxXW7tiPL6eu+TBnIebmfjN41nY1LPL8eNaHwohX5OnUVyHB0UsteWqKizVTSppzUzi//Z5TsA6Jvmg28ZKZECGQOUSs86Jp8gXYY1HrLlPnWWq2S50dbhVPYNtfs8y1ap5Lsf9ApFExuapvrca0ekOPO6EL8jO2UlMUkv+MGDS7jh5dTrCIn4qWji1o+KJEO2ZNsgxRTT6u17ufKplXHvPpN0vLq2tnNEnXZEU4RsSfbJhGK9I5MgT0wOd9blY3XW0h6JM3Ev5hqNu/3pXKMJ0ZimVyia2P6EAX3LkvrJpDJV1O7jaXv+Uww/RzQAHSkmyhPNm6sbDtBoDQueXradm1+tYMa1r7BoS/evVnpVolSjp937Wply2XM8Wl6Z3JMLd+XOpmEq5IxlYlRxo7AMno9Ne33lrne4Z/5W6lz7XjKZrtntMv4oS6NoEkM76ZpXuD7BgMDvrIvlR2IDV8hPKTywcBtz1tTEuSWOXvr0kU4ZvbI9U6uzM256g2OvfKnruQK367F83bWvlZvmrO90T1SwYaBXKJoGO6Kp97DyirF1d3Pa40hOv+F1fpD4ffIcCkOyR4yB9gytzqIGPnT9q5x/y9txfnbta+Mvszd0e9arl5dKIWzZ7Vj7PPDOtk63uetqmXLZc54HB0YSlGCmRHK1RfWBbKfOuvmPW5dK/7xbtfQry24+f/f+Nk9zeD9JVh68lGhQo5wrnljBN+4pB7osQjvNrjunzrrw7EBlKNvW3c1x10GO3KJRQ2tHvAGIexTzj9c3dXsmRHqmdyiaFvuCd6U4WfX7Dy7hmmdXZx2237vg2zuSN7zup2NK0evoHO/j8LuHl23F+turzl6STR5xxjdGmYdbKEun9kiU3zwT/35zXaOJTXVGjOls9Lzy8kcPL2XKZc91XrtN6dOu0WS0ROO3MYB33N6dFF+jTkmsM3Kg3anHJu6ex9SZMZ4NezryTVIqY4Drnl/Dkb98MW7GItmaX6driIY0vULRtLY7L7fBw4zQXTReW5fZJwncjaqfZaG+uS1ueiWxt+ZuzFIpTS/cz85eXcMtcyvSTDF0XzhfvLUegEH9uk9B5moqXKgRTew7KvFx5zaiiZWZ9o7U04WPL0l+Zuytr21MuSaQiRIJakSTGGyy88Rqm1qY+ce5nZ8RCIr2iGFfawcrq509NNG4adru/qNRwzXPrebIX77IS6t2ZhxPvpanqd7ZvxdsBZy0xEhX9sOjZnqLorGjhKbW/HdjA7S7CoifR8H8+qlVfO7WeZ3u3cq963pnY0tWcbgbi0vuLeePL63LakSzv61r0dSzh5um8icjRxsMX8h27SGmTPvYkUlbJOLaXJf8Oa8pH+gql+lI1gD6nXXJ4vEadRoDzy7bwZbdzdw9b0tG4c9eXUPt3uzKrRO/YVNd16co2uM6Nd4jmvvmOw37N+9bnHE8hRhAtLkysz1Z4TeFk6dQ9BJF4wyhm1r8OUSxzdVA+G0M4KbbAaCuy9osv76X7RpNIu40e61luRvtTXX7Mm5QCrV/yWtSIy5PMhAjEomfOmtLM6KJ0WJH1Il7T1rak0/tuINrT9LzDewImkQzcE9Dkni3dAeUdkSiXHJvOf/zz4Up/Xk+GzVxU8SRaLSbJVq8bLnt8/n6PYs6N4cGhbseJRtRx4xO1OqshxGr6ImbNQ3EtUCpCqd7gT2xJ7JuZxNXPb0qp8P8KmqbkhaoxErk9nfnW5s7fze3pVeg3ms0yf0n6hJ3BWnzUDRPuKaJLnt8BR//02tx959aWs2THlNJdR5TgAfaIvz8seW+fK0wFdmv0ViFYa/dCjdVUPuTvJ8DqRSNO15Xefvnm90Xjf0iloZuU2dp1mjW1zRx7JUv8ciiSrYlLLDHiKU1tqctE2IKryMSjeskuvMj2dpjLgdcVtTu4/6F29J7TEKqOGNtyym/m9NpwJPM+Cg20i21kxryoZcomuy/RnDfgq1sdA3Xb5zdZX4YN6IxhiueWMHd87awantmHzyK6Y8l2+o5/YY3OhVhMn8xkjVm03/9kvcN97NZjmgSK0H8iKb7c394MX4Pz/6EI1Z++NBSLn14abfn3tnc3RT7meXbebi8kj9luS8oW3Jeo+mcOnMrmuRh7W/toLappVtH5kBbJOmoxO3ufhfXPremy0/moqfl7Ypd3S0qLelGw6vt+WM/+89yPvrHuZ71LXbkjoiwbXdz53pfJnRETdw0o3s90NMYoEinfLi/jFm5p5m5a2u7+YlEDUsrG4DkxgDNrRHrNzyaplcommRz4YnGAYIzBdDWEeVXT67ks3+f5/mcu+IbYNywAQA8tXQ7L6zYkVaeWCX1st7y8td5nUcF8pr+eLvC+zge8FA07rllm59BnW8W28zY0h6lfMsefvrostQL58akleXtjV1pXbSlngNtkbxPBmhP6HAkY/aaWk6+bg4vrIhfmG5pj2a0npVuLt8Pvv1v11pGQrieU2cut8R6VOMxbRob0fQR+Ogf58atRXZGmxBPp3lzggWZ+z10eDTGEWO6zZW+uHKHLydmZ0LEGD514xt87e5FKf0l2yQeGwG3ZbiG1xPoFYomGUsrGzot0sB5scde+RJXPLECoHMzZCKtcQ0MHDpqCOBMZ337/nfZ3nDA87lYPYpVlHSKw8+OmVePO9Hc101i4+a1RrPXpzWvRGKmv22RKBfesYBHF1fRnOQQSmMMUy9/Pq6n70XiPoWnl1XnMaJxrlsznDqLfUN+fsK35Nfs2MtPHl3m+UzcGk2SOZR85/AbD7TzhdvmsWXX/pQhZTsa3uFhqBJTNGUp5qcXbOo+ugWnvsSvbUQ75fVqjKNRE6dnNtXt41v/fpefPro8adzZsrOxJWn5iURNZ3pT1XEvJQldoz+vaeWeSq9WNNB1ZD90LWg+trgq5TPxFd90myrYmWQhPNYzjBXQdFZP3Y0BDJmcxRh7LO6IlCw7RzF7/1h0buUas/rx+syBm0//9S2mXPYcL65MP8pzE2uM2ju6evzJFE1Mrjvf2szPH/NuSLymcppaOhJOBkjfaCfuo3GPaNJNnUF3hfHjR5fFrW0ljTdJzzdZlCuqGj1Ph0hk9uoaFm2p5ybXtDB0XzvyHtEkX9P0HNHY9+d1KOlNs9cze3UNF96xwDO8jkg0rvz938PL2NeSvNcfNfGDsljZyWR9KJNR+sJNuznld3N4aJH3eo67XDXbvPRav0k2dRYb0Xgp7J5Kr1c0TS5rGa/F2Zb2SDdLlLaEEU3ixrDavd49kfNveZudjS2d3zZJ1/gnHuNvDPTtk/kry/VEZei+4O9O85NLqrnh5XWce/ObKcNYUe2sWWVq/toVd6RThlilTXasvtva6eHySmZcO5s9+9u46M6FnZZvR/3qxW7PNbdFulX01o4Ij5ZXJm1sIp3GAE6jMeu+xSyvctKY2Ga8urbrGJXYelXSKbA0JLc68/b/6b+9xRdum59dJK6wEvdoJRvRJIvfy/S+c0TjUjSxcG+avYFL7i2P89+WsCbTmrCO+aLdH+OVp5GoSTDUiPdTu7cl6eZsY5yO5n8nUXrQVa5XVnuvycYpmhTWeMk6ELE1mmy3MJQyvV7RuPEqtF/8x3xOuPqVBH/xazSJi/l1TckLyCOus8O8rLfcJFaQNzfUpX3GjbsHl2xEkIzESuBWpq+ureXmVyu6Lfj7RSw/3Y3Nsyu2e/rdn1CRd+1r5YGFW3lzwy7uentL0jj2t3V0y9+/zqngp48tT7rJ78LbF9LWEfXsySc2xl+/u6vhXGYXf7OZqjOmy5pw1fa9aXznhyG+w9UeiV/z8pLbmOTp2dHYQkt7hHNufpP5dqNsS+caTVfmtXZEkyr1G17pGmUlrtG48Vp/TVSCMcUZc7viiRVxVpuJ/OTRZczbuDvptFesLvVPON3hebs+6y5Xqcy+ky32x0Y035l5eNJnexqhVzT5fPZDhM4e67CBXZ/uSRzRJE7N/OqpVcy49hWmXPZct9FQsvUbLxIbwlSVw01MPvdmtZgcCxPWCWLU72+LGzUkHm2Tz8Jksrn3RGLxx/LTrcj+8OK6zlO4jTH89vk1rNvZ5FmR//Sy00iJJD+ktLk1fkQTNV1TFcnW5toiUab/+sVuZ2Q5z/trGPHq2hqm//olfvLosqTWYOlifGxxFVX1zXz0D3O58qmVbN29P67Bjsm8yMPyr961wF/f3N5NqUSjJmmnZ2djC1t3N7Nq+15+8aSz3vnwIqeD5a6PB9ojSTtAG+v2dSqhdjt15nUihZcMibJWN8R3/NbsaPKME+JHpsn23cWMCtwdzGjUUGNnMtzx3zxng6f1GSQf4cYev+jUKUnl7GkU/MNnInIm8BegDPinMeb6IOObPHqI53lgmSB0VeaB/co6F7/vdx00eenDSzwLzK59TsOeOBrK9JgbgF89tZJjJwzvvN6SZI9CIuVb63l40ba4o0FiDceXbveeEjjxGkfOddeeye59bfxtrnOu2bvbGjjiFy9kNZJKxYsrd3DmseM956zP/eubzP7Rxzp7qfsSrITq9rUwfHA/qhsOcPsbm7j9jU3c+j/vSxpXH4k/MdnN/rYOKvfEfya4orZ7A/TJG16Pu042r+63Se1b1iIw1XphrCGu3NPM8yt28L8fOSxuDeQnjy5j7NAB1DW1cs/8rdwzfysfeu9o/vXVk2lu6+hs5L1Gptv2NHe+h7/M2dBN+UZNcmvOuetqOe3o91ghnc90vLTKmUp0K7AD7RGeWeY9Um3riLLdKv6INQYYMqBvt+ntFg/ZE5V+db3TuVtX08RTS6upTtHZc89WNBxoY7jHp0VinRt3J6fe1aH8+2tdh58+uXQ7Ty7dzuD+8UqyPRJNagwQRqSQn+AVkTJgPfBJoApYBFxojElq/jRjxgxTXl6e7HZSYocZ/vcHDuWBPDZhxegjxfnUq1/84XPH8cX3T4o75DEZXz7lUP69IP88S8XIwf3iGp0Y8y77BI+UV3KTxwnUAHd/7f3sa+3gew949/L94OsfmsonjnoP62uauDqLg1bHHDQg6zPo8uFLMyZxzfnH8t0H3uWV1TVcdtZRnHnMwcz802sZPT9hxKCUjW4qhg7s69njP/+EQ3hyabzy+OoHp3iu051+9DhmJ3wSwIvPnzQxrYGOm/87/Yi4fW9nHDOuU9GlY1C/sk5l9sHDR/OD06bxyKJKVu/Yy2dOOIQHFm6jyiquiSMHMftHH6O5LcLOxhbOTrNmmciwgX1TWm5uuf6crMJzIyKLjTEzcg7AZwqtaE4FrjLGnGGvLwcwxvwu2TO5KpqavS18/8El3HzBifzmmVW8sNKZd//OzMO57fWN3ZTGNz48Ne3U1OfeN5FX19Z4NpAxDhs7hE113iOo6eOHdW5uW3ftmVz2nxU8saSaL82YxNqdjvuyqsw2febCwcMGJrWIy4fDxw5hoyvNqfLAi0I30MXmnOPGUyZCXVMrow7qz3PLs7PKK2V+cfbRXPd8alPzQiES/HlhMcXUv6yPb6N+gFd//DEOG3tQzs/3dkXzeeBMY8wl9voi4APGmO8l+JsFzAI49NBDT9q6dWvecdfubeGdLXs469jxrNreyLKqRk46dCSPLa7i40eNZfr4Yfz11Qp27WvlkBGDGDWkPyuqG6lramVA3z6MOWgAF506mfcdOpL2SJRX19Zy5Lih3D1vC4P6l3HchOHUNrXylVMn887mPTQeaKe+uY0po4ewcPMevjhjEu8ZOoB3t9UzbthAJo0a7Cnn8qoGdjS2MHHkIO56awsH2jsY3L8vwwb2Y8TgfgzuX8Yph43m8XerOee48bS0Rxg3bACTRg1m7tpa9rVGaDzQTkt7hJXVjUwbN5RxwwawsnovkWiUsj7CGccczPaGFpZVNvCpY8bR1hFl9ppaxg8fyNqdTYw5qD8nTBrB1DFDGDaoH0eOG8ora2o49fDRdEQMOxtbeLtiF2OHDuAj08Yw+qABGGN4adVOTpo8iiEDylha2cDSygamjB7CyupGLjz5UBZu3sP6miY279rPmIP6M6BvGWMO6s9Fp05h+KB+3Dt/C2t2NDGwXx8mjRxMv759OOrgoWzb3czqHXup2dvC4WMPYte+VvqIUFnfzPjhg/jM8Ydw6uGjWV/TRP3+NiaOGkz/sj786+3NnHb0e5g4cjCPLa5i3LCBRKJRdjS28OaGXZxy2Cgmjx5CXVPsw3h92N8aoW+Z0B6J0q+sD7v2tfKjTx5BRe0+BvUv4+BhA1lZvZd9re08triagf36cNLkkby0aifHTxrBuKEDqWlqYXPdfg4ZMYgvvX8SZX2EoQP78vCiSo6fNIKPH/meuHfe0h5h9Y699BGhpT3ClNFDqKxv5uBhA3m7YhcfPHwMzyzfzt4D7dZaLspRBw+jPRJl8679jBs2kOMmDmfh5j3saDhAv7I+RIxh2+5mTpo8km17mhk7dACTRg6mrI8wZcxgNtXtR0Q4+uChlG+t5+Spo6jZ28IhIwaxvqaJow4eysba/ZT1EUYM7kckajh09GBa26NMHTuE55fvYPLoIQy1a5fvbqvnxEkjOfLgoayvaeKBd7bR0h7hpMkjmbu2lv2tET45fRzNbR0cM2E4izbvYfHWet4zbCATRw5CcNZljps4gqaWDlZtb+Sog4dS3XCAMQcNoL65nfOOP4RJowZTVd/MssoGBg/oS0NzO1PHDObD08YyZ00Nwwf14+ml2+nftw+XfGQqK6v3sq6miUNHDeZLMybR0hFh3NCBPLa4imVVDRxojzBxxCAixlDX1ErN3lamjB5MRd0+BvUro6r+AMMH9WPs0AF88PAx1OxtYUNtE+OGDWRldSOTbfk+dNRgxg0byGdOOIR7529l1kcOY1D/PizZ1kBDczuHjR3C4WMPYvaams6PFp56+Gg+/N4xPLt8O31EOHr8sLip8nxQRZOBonGT64hGURSlt1JqiqbQVmfVwCTX9UTrpiiKooSUQiuaRcA0EZkqIv2BC4CnCyyDoiiKUkAKat5sjOkQke8BL+GYN99ljFlVSBkURVGUwlLwfTTGmOeB5wsdr6IoilIcQn8ygKIoilJcVNEoiqIogaKKRlEURQkUVTSKoihKoBR0w2YuiEgdkOvRAGOA5N8r7n1ofsSj+RGP5kc8PTk/JhtjxhZbiBglr2jyQUTKS2l3bLHR/IhH8yMezY94ND/8Q6fOFEVRlEBRRaMoiqIEStgVze3FFqDE0PyIR/MjHs2PeDQ/fCLUazSKoihK8Qn7iEZRFEUpMqpoFEVRlEAJpaIRkTNFZJ2IVIjIZcWWpxCIyCQRmSsiq0VklYj80LqPEpFXRGSD/T/SuouI3GzzaLmIvK+4KQgGESkTkSUi8qy9nioiC226H7afq0BEBtjrCnt/SlEFDwARGSEij4nIWhFZIyKn9ubyISL/Z+vKShF5UEQG9ubyESShUzQiUgbcApwFTAcuFJHpxZWqIHQAPzbGTAdOAb5r030ZMMcYMw2YY6/ByZ9p9m8WcGvhRS4IPwTcH7H/PXCjMea9QD3wDev+DaDeut9o/YWNvwAvGmOOAo7HyZdeWT5EZALwA2CGMeZYnM+WXEDvLh/BYYwJ1R9wKvCS6/py4PJiy1WEfHgK+CSwDhhv3cYD6+zvfwAXuvx3+gvLH84XXOcAnwCeBQRnp3ffxLKC842kU+3vvtafFDsNPubFcGBzYpp6a/kAJgCVwCj7vp8Fzuit5SPov9CNaOgqQDGqrFuvwQ7rTwQWAuOMMTvsrZ3AOPu7N+TTTcDPgKi9Hg00GGM67LU7zZ35Ye83Wv9hYSpQB/zLTiX+U0SG0EvLhzGmGvgTsA3YgfO+F9N7y0eghFHR9GpE5CDgP8Clxpi97nvG6Y71Cnt2ETkXqDXGLC62LCVCX+B9wK3GmBOB/XRNkwG9rnyMBM7DUcCHAEOAM4sqVIgJo6KpBia5ridat9AjIv1wlMz9xpjHrXONiIy398cDtdY97Pn0IeAzIrIFeAhn+uwvwAgRiX1Z1p3mzvyw94cDuwspcMBUAVXGmIX2+jEcxdNby8fpwGZjTJ0xph14HKfM9NbyEShhVDSLgGnWeqQ/zgLf00WWKXBERIA7gTXGmBtct54GLra/L8ZZu4m5f8VaF50CNLqmUHo8xpjLjTETjTFTcMrAq8aY/wHmAp+33hLzI5ZPn7f+Q9O7N8bsBCpF5EjrdBqwml5aPnCmzE4RkcG27sTyo1eWj8Ap9iJREH/A2cB6YCPwi2LLU6A0fxhn2mM5sNT+nY0zjzwH2ADMBkZZ/4JjnbcRWIFjfVP0dASUNzOBZ+3vw4B3gArgUWCAdR9oryvs/cOKLXcA+XACUG7LyJPAyN5cPoDfAGuBlcB9wIDeXD6C/NMjaBRFUZRACePUmaIoilJCqKJRFEVRAkUVjaIoihIoqmgURVGUQFFFoyiKogSKKhpFURQlUFTRKIqiKIHy/wEzQ9oWMbyGPAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "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"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "chubby-glass",
   "metadata": {},
   "source": [
    "### Understand Constraints File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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": 36,
   "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": 37,
   "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": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires['label'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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",
       "P2308       1\n",
       "P31         1\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires['label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "focused-karen",
   "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": 40,
   "id": "private-boundary",
   "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>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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1006</th>\n",
       "      <th>P1006-P2302-Q21503247-0451ef47-0</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",
       "    <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": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "conceptual-schedule",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfItemRequires = dfItemRequires.droplevel(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "third-hayes",
   "metadata": {},
   "outputs": [
    {
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       "      <th>P1006</th>\n",
       "      <td>NaN</td>\n",
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       "      <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",
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       "      <th>P1010</th>\n",
       "      <td>NaN</td>\n",
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       "      <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>P1010</th>\n",
       "      <td>NaN</td>\n",
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       "      <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",
       "      <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",
       "      <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        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": 42,
     "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": 43,
   "id": "indian-journal",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <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",
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       "      <th>P5447</th>\n",
       "      <td>NaN</td>\n",
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       "      <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",
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       "      <th>P5448</th>\n",
       "      <td>NaN</td>\n",
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       "      <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",
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      ],
      "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": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires[dfItemRequires['P4680'].apply(lambda p: type(p) == list)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "discrete-template",
   "metadata": {},
   "outputs": [
    {
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>P1045</th>\n",
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       "      <td>[P39]</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",
       "      <td>NaN</td>\n",
       "    </tr>\n",
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       "      <th>P1045</th>\n",
       "      <td>NaN</td>\n",
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       "      <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",
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       "    <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",
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       "    <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": 44,
     "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": 45,
   "id": "turkish-establishment",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "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: ../../propertiesSplitWRemoved/claims.P8299.tsv does not exist\n",
      "File: ../../propertiesSplitWRemoved/claims.P8529.tsv does not exist\n",
      "File: ../../propertiesSplitWRemoved/claims.P7118.tsv does not exist\n",
      "File: ../../propertiesSplitWRemoved/claims.P7119.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_Final'\n",
    "subFolderName = \"Mand_Sugg_Normal\"\n",
    "shellFileSuffix = 'codepConst_MSN_Validator_new2_'\n",
    "graph_cache_file_prefix = \"codep_new3_001_\"\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(\"../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        commandInit = \"{ time ( kgtk --debug query -i ../../propertiesSplitWRemoved/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(\"../../propertiesSplitWRemoved/claims.\"+ prop2 +\".tsv\")):\n",
    "                print(f\"File: ../../propertiesSplitWRemoved/claims.{prop2}.tsv does not exist\")\n",
    "                continue\n",
    "            \n",
    "            commandOtherFiles += \"../../propertiesSplitWRemoved/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 % 100 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \\\n",
    "            -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplitWRemoved/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": 46,
   "id": "peripheral-herald",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2538"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "incorporated-logistics",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "26"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fCnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "welcome-welding",
   "metadata": {},
   "outputs": [],
   "source": [
    "# from tqdm.notebook import tqdm\n",
    "# import os.path\n",
    "# import os\n",
    "# folderName = 'codependencyConstraint'\n",
    "# for prop in tqdm(dfItemRequires.index.unique()):\n",
    "#     for subFolderName in ['Mand_Sugg_Normal', 'Mand_Normal', 'Mand', 'Normal']:\n",
    "#         if os.path.isfile(\"../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv\") and \\\n",
    "#             os.path.isfile(\"../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv\"):\n",
    "#                 os.system(\"kgtk cat -i ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "#                     ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "#                     -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_w_exceptions.tsv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "optimum-blowing",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,28):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplitWRemoved/checkViolations/codepConst_MSN_Validator_new2_\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "indoor-verse",
   "metadata": {},
   "source": [
    "#### Version 2 - Mandatory + Normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "furnished-paradise",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1f146f81033b43b7af22588beedb3d15",
       "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: ../../propertiesSplitWRemoved/claims.P8529.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_Final'\n",
    "subFolderName = \"Mand_Normal\"\n",
    "shellFileSuffix = 'codepConst_MN_Validator_new2_'\n",
    "graph_cache_file_prefix = \"codep_new3_02_\"\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(\"../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        commandInit = \"{ time ( kgtk --debug query -i ../../propertiesSplitWRemoved/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(\"../../propertiesSplitWRemoved/claims.\"+ prop2 +\".tsv\")):\n",
    "                print(f\"File: ../../propertiesSplitWRemoved/claims.{prop2}.tsv does not exist\")\n",
    "                continue\n",
    "            \n",
    "            commandOtherFiles += \"../../propertiesSplitWRemoved/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 % 100 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \\\n",
    "            -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplitWRemoved/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": 52,
   "id": "searching-individual",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2419"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "silver-clarity",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,26):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplitWRemoved/checkViolations/codepConst_MN_Validator_new2_\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "prescription-access",
   "metadata": {},
   "source": [
    "#### Version 3 - Mandatory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "married-porter",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "932a7247db9b47568838f6219c1e2119",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3147 [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 = 'codependencyConstraint_Final'\n",
    "subFolderName = \"Mand\"\n",
    "shellFileSuffix = 'codepConst_M_Validator_new2_'\n",
    "graph_cache_file_prefix = \"codep_new3_03_\"\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(\"../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        commandInit = \"{ time ( kgtk --debug query -i ../../propertiesSplitWRemoved/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(\"../../propertiesSplitWRemoved/claims.\"+ prop2 +\".tsv\")):\n",
    "                print(f\"File: ../../propertiesSplitWRemoved/claims.{prop2}.tsv does not exist\")\n",
    "                continue\n",
    "            \n",
    "            commandOtherFiles += \"../../propertiesSplitWRemoved/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 % 100 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \\\n",
    "            -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplitWRemoved/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": 55,
   "id": "according-blackberry",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1089"
      ]
     },
     "execution_count": 55,
     "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(1,12):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplitWRemoved/checkViolations/codepConst_M_Validator_new2_\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "subsequent-brown",
   "metadata": {},
   "source": [
    "#### Version 4 - Normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "operational-migration",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d81d5232c18940e59e50956651839125",
       "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: ../../propertiesSplitWRemoved/claims.P8529.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_Final'\n",
    "subFolderName = \"Normal\"\n",
    "shellFileSuffix = 'codepConst_N_Validator_new2_'\n",
    "graph_cache_file_prefix = \"codep_new3_04_\"\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(\"../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        commandInit = \"{ time ( kgtk --debug query -i ../../propertiesSplitWRemoved/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(\"../../propertiesSplitWRemoved/claims.\"+ prop2 +\".tsv\")):\n",
    "                print(f\"File: ../../propertiesSplitWRemoved/claims.{prop2}.tsv does not exist\")\n",
    "                continue\n",
    "            \n",
    "            commandOtherFiles += \"../../propertiesSplitWRemoved/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 % 100 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \\\n",
    "            -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplitWRemoved/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": 58,
   "id": "harmful-binary",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1925"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "advance-married",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,21):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplitWRemoved/checkViolations/codepConst_N_Validator_new2_\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ranging-journal",
   "metadata": {},
   "source": [
    "#### Version 5 - Suggestion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "missing-jordan",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "174a69094d0b4d30aeeba66e2eb28a5c",
       "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: ../../propertiesSplitWRemoved/claims.P8299.tsv does not exist\n",
      "File: ../../propertiesSplitWRemoved/claims.P7118.tsv does not exist\n",
      "File: ../../propertiesSplitWRemoved/claims.P7119.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_Final'\n",
    "subFolderName = \"Suggestion\"\n",
    "shellFileSuffix = 'codepConst_S_Validator_new_3_'\n",
    "graph_cache_file_prefix = \"codep_new4_05_\"\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(\"../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        commandInit = \"{ time ( kgtk --debug query -i ../../propertiesSplitWRemoved/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(\"../../propertiesSplitWRemoved/claims.\"+ prop2 +\".tsv\")):\n",
    "                print(f\"File: ../../propertiesSplitWRemoved/claims.{prop2}.tsv does not exist\")\n",
    "                continue\n",
    "            \n",
    "            commandOtherFiles += \"../../propertiesSplitWRemoved/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 % 100 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \\\n",
    "            -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplitWRemoved/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": 61,
   "id": "soviet-forth",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "312"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "racial-stationery",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,5):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplitWRemoved/checkViolations/codepConst_S_Validator_new_3_\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "structural-envelope",
   "metadata": {},
   "source": [
    "### Merge all correct/incorrect outputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "joined-invention",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "57dcbdd4c8014c9288dbb92b331a05a6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import os\n",
    "# from tqdm.notebook import tqdm\n",
    "\n",
    "# for folder in tqdm(iter(['Mand_Sugg_Normal', 'Mand_Normal', 'Mand', 'Normal'])):\n",
    "#     folderPath = \"../../allConstraintsAnalysisWRemoved/codependencyConstraint/\" + folder + \"/\"\n",
    "#     correct_files_list = \" \".join([folderPath + f for f in filter(lambda f: \".correct.\" in f, os.listdir(folderPath))])\n",
    "#     incorrect_files_list = \" \".join([folderPath + f for f in filter(lambda f: \".incorrect.\" in f, os.listdir(folderPath))])\n",
    "# #     print(files_list)\n",
    "#     os.system(\"{ kgtk cat -i \"+ correct_files_list + \" -o \"+folderPath+\"claims.all.correctSuperSet.tsv -v True; } 2> \"+folderPath+\"claims.all.correctSuperSet.log\")\n",
    "#     os.system(\"{ kgtk cat -i \"+ incorrect_files_list + \" -o \"+folderPath+\"claims.all.incorrectSuperSet.tsv -v True; } 2> \"+folderPath+\"claims.all.incorrectSuperSet.log\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "stopped-bolivia",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "68395f72036a469fad8908d916303bcd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import os\n",
    "# from tqdm.notebook import tqdm\n",
    "\n",
    "# for folder in tqdm(iter(['Mand_Sugg_Normal', 'Mand_Normal', 'Mand', 'Normal'])):\n",
    "#     folderPath = \"../../allConstraintsAnalysisWRemoved/codependencyConstraint_Final/\" + folder + \"/\"\n",
    "#     correct_files_list = \" \".join([folderPath + f for f in filter(lambda f: \".correct.\" in f, os.listdir(folderPath))])\n",
    "#     incorrect_files_list = \" \".join([folderPath + f for f in filter(lambda f: \".incorrect.\" in f, os.listdir(folderPath))])\n",
    "# #     print(files_list)\n",
    "#     os.system(\"{ kgtk cat -i \"+ correct_files_list + \" -o \"+folderPath+\"claims.all.correctSuperSet.tsv; } 2> \"+folderPath+\"claims.all.correctSuperSet.log\")\n",
    "#     os.system(\"{ kgtk cat -i \"+ incorrect_files_list + \" -o \"+folderPath+\"claims.all.incorrectSuperSet.tsv; } 2> \"+folderPath+\"claims.all.incorrectSuperSet.log\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "criminal-central",
   "metadata": {},
   "outputs": [],
   "source": [
    "# for folder in tqdm(iter(['Mand_Sugg_Normal', 'Mand_Normal', 'Mand', 'Normal'])):\n",
    "#     folderPath = \"../../allConstraintsAnalysisWRemoved/codependencyConstraint/\" + folder + \"/\"\n",
    "#     folderPathNew = \"../../allConstraintsAnalysisWRemoved/codependencyConstraint_Final/\" + folder + \"/\"\n",
    "#     os.system(f\"screen -dm kgtk ifnotexists -i {folderPathNew}claims.all.correctSuperSet.tsv --filter-on {folderPath}claims.all.correctSuperSet.tsv -o {folderPathNew}claims.all.correctSuperSet.diff.tsv\")\n",
    "#     os.system(f\"screen -dm kgtk ifnotexists -i {folderPathNew}claims.all.incorrectSuperSet.tsv --filter-on {folderPath}claims.all.incorrectSuperSet.tsv -o {folderPathNew}claims.all.incorrectSuperSet.diff.tsv\")\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "homeless-pleasure",
   "metadata": {},
   "source": [
    "### Analyze Violations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "welcome-dependence",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7dd9536a9ed647de9171b7e41388b861",
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    {
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       "model_id": "ad21da09d00b46d9a1f5e7ab5e7401f1",
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    {
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       "model_id": "f3ac9d0d591b4a429cfcdcda9b6d0530",
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    },
    {
     "data": {
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b73b08dc91654c599ded7bd32878e9c8",
       "version_major": 2,
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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 = \"../../allConstraintsAnalysisWRemoved/codependencyConstraint_Final/\"+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": 46,
   "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": 47,
   "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": 48,
   "id": "physical-soviet",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Mand_Sugg_Normal': {'correct': 310335209,\n",
       "  'incorrect': 6204247,\n",
       "  'propCount': 2538,\n",
       "  'total': 316539456,\n",
       "  'percIncorrect': 1.9600232711589676},\n",
       " 'Mand_Normal': {'correct': 280118891,\n",
       "  'incorrect': 3724480,\n",
       "  'propCount': 2419,\n",
       "  'total': 283843371,\n",
       "  'percIncorrect': 1.3121602899790814},\n",
       " 'Mand': {'correct': 5721696,\n",
       "  'incorrect': 80247,\n",
       "  'propCount': 1089,\n",
       "  'total': 5801943,\n",
       "  'percIncorrect': 1.3831056251328218},\n",
       " 'Normal': {'correct': 279065966,\n",
       "  'incorrect': 3646780,\n",
       "  'propCount': 1925,\n",
       "  'total': 282712746,\n",
       "  'percIncorrect': 1.2899241550290768},\n",
       " 'Suggestion': {'correct': 31515015,\n",
       "  'incorrect': 2587324,\n",
       "  'propCount': 312,\n",
       "  'total': 34102339,\n",
       "  'percIncorrect': 7.586940004320525}}"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstViolationsSummary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "permanent-triumph",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c69632919d004e0cabb3400bda4eb036",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File: ../../propertiesSplitWRemoved/claims.P8299.tsv does not exist\n",
      "File: ../../propertiesSplitWRemoved/claims.P8529.tsv does not exist\n",
      "File: ../../propertiesSplitWRemoved/claims.P7118.tsv does not exist\n",
      "File: ../../propertiesSplitWRemoved/claims.P7119.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(\"../../propertiesSplitWRemoved/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(\"../../propertiesSplitWRemoved/claims.\"+ prop2 +\".tsv\")):\n",
    "            print(f\"File: ../../propertiesSplitWRemoved/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": 50,
   "id": "boring-tooth",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of props having at least 1 mandatory constraint: 1088\n",
      "No. of props having at least 1 suggestion constraint: 309\n",
      "No. of props having at least 1 normal constraint: 1924\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": 51,
   "id": "beautiful-xerox",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "codepConstDF1 = pd.DataFrame(codepConstViolations['Mand_Sugg_Normal']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>P6307</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3225</th>\n",
       "      <td>31</td>\n",
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       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>2538 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths\n",
       "P6307       4         2  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P3225      31       308  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1336     232       999  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P8810       1         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P6670       7         3  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "...       ...       ...                                                ...\n",
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       "P1888     128        48  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1894      38        48  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1895     457         4  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "\n",
       "[2538 rows x 3 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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": 54,
   "id": "chinese-pressing",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P4674       0         4  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P4645       0         6  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P4334       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P507        0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2304       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2586       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P7948       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P5745       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P7263       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P6645       0         2  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P6759       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1555       0         5  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P8229       0         4  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P8280       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1837       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "\n",
       "       violation_ratio  \n",
       "P4674              1.0  \n",
       "P4645              1.0  \n",
       "P4334              1.0  \n",
       "P507               1.0  \n",
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       "P8280              1.0  \n",
       "P1837              1.0  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF1.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "armed-constitution",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['../../allConstraintsAnalysisWRemoved/codependencyConstraint_Final/Mand_Sugg_Normal/claims.P2302.correct.tsv',\n",
       " '../../allConstraintsAnalysisWRemoved/codependencyConstraint_Final/Mand_Sugg_Normal/claims.P2302.incorrect.tsv']"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(codepConstDF1.loc['P2302']['paths'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "continued-desire",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id\tnode1\tlabel\tnode2\trank\tnode2;wikidatatype\r\n",
      "P10-P2302-Q21502404-d012aef4-0\tP10\tP2302\tQ21502404\tnormal\twikibase-item\r\n",
      "P10-P2302-Q21510851-5224fe0b-0\tP10\tP2302\tQ21510851\tnormal\twikibase-item\r\n",
      "P10-P2302-Q21510852-dde2f0ce-0\tP10\tP2302\tQ21510852\tnormal\twikibase-item\r\n",
      "P10-P2302-Q52004125-d0288d06-0\tP10\tP2302\tQ52004125\tnormal\twikibase-item\r\n",
      "P10-P2302-Q53869507-974ce3b1-0\tP10\tP2302\tQ53869507\tnormal\twikibase-item\r\n",
      "P1000-P2302-Q21510856-b2772a67-0\tP1000\tP2302\tQ21510856\tnormal\twikibase-item\r\n",
      "P1000-P2302-Q21510865-1f5093e9-0\tP1000\tP2302\tQ21510865\tnormal\twikibase-item\r\n",
      "P1000-P2302-Q53869507-36dbee67-0\tP1000\tP2302\tQ53869507\tnormal\twikibase-item\r\n",
      "P1001-P2302-Q21502838-3cc7ade2-0\tP1001\tP2302\tQ21502838\tnormal\twikibase-item\r\n"
     ]
    }
   ],
   "source": [
    "!head ../../allConstraintsAnalysisWRemoved/codependencyConstraint_Final/Mand_Sugg_Normal/claims.P2302.incorrect.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "demonstrated-debut",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
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       "      <th>P7902</th>\n",
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       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
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      ],
      "text/plain": [
       "         correct incorrect                                              paths  \\\n",
       "P234        7232    997624  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P734     2119055    738534  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2214    2989348    721476  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P433    31113458    436934  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P195     1150231    401686  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P569     6926852    267556  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P131    11274319    200519  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P275        7295    163856  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2860  174842113    152425  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P570     3471930    105652  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1435    2121637     92401  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2017      86770     90445  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
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       "P7902      12924     68302  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1922      30636     63745  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "\n",
       "       violation_ratio  \n",
       "P234          0.992803  \n",
       "P734          0.258447  \n",
       "P2214         0.194425  \n",
       "P433          0.013849  \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",
       "P1435         0.041734  \n",
       "P2017         0.510369  \n",
       "P1376         0.965863  \n",
       "P7902         0.840888  \n",
       "P1922         0.675401  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF1.sort_values(by=['incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "developed-zimbabwe",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    2538.000000\n",
       "mean        0.270460\n",
       "std         0.348561\n",
       "min         0.000000\n",
       "25%         0.000000\n",
       "50%         0.066600\n",
       "75%         0.500000\n",
       "max         1.000000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF1['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "unknown-johnston",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 1 - Violation Ratios')"
      ]
     },
     "execution_count": 59,
     "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": 60,
   "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": 60,
     "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": 61,
   "id": "interior-joseph",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of properties whose violation ratio is greater than mean: 0/2538\n"
     ]
    }
   ],
   "source": [
    "print(f\"No. of properties whose violation ratio is greater than mean: {sum(codepConstDF1['violation_ratio'] >= 3.539484)}/{len(codepConstDF1)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "greater-genetics",
   "metadata": {},
   "source": [
    "#### Version 2 - Mand Normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "constant-chance",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "codepConstDF2 = pd.DataFrame(codepConstViolations['Mand_Normal']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "included-adjustment",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>correct</th>\n",
       "      <th>incorrect</th>\n",
       "      <th>paths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P1006</th>\n",
       "      <td>4024</td>\n",
       "      <td>403</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5878</th>\n",
       "      <td>234</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5527</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1949</th>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2458</th>\n",
       "      <td>58</td>\n",
       "      <td>3</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1935</th>\n",
       "      <td>1499</td>\n",
       "      <td>49</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1937</th>\n",
       "      <td>199</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1938</th>\n",
       "      <td>254</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1939</th>\n",
       "      <td>907</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1940</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2419 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths\n",
       "P1006    4024       403  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P5878     234         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P5527       1         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1949      19         2  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P2458      58         3  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "...       ...       ...                                                ...\n",
       "P1935    1499        49  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1937     199         4  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1938     254         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1939     907         1  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1940       7         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "\n",
       "[2419 rows x 3 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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": 65,
   "id": "harmful-discipline",
   "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>P4668</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6189</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2586</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
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       "      <th>P3796</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2863</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8888</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>P4727</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>P5783</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>P2489</th>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2309</th>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6645</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2310</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P7882</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8769</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3692</th>\n",
       "      <td>0</td>\n",
       "      <td>96</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P4668       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P6189       0         2  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2586       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P3796       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2863       0         4  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P8888       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P4727       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P5783       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2489       0        12  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2309       0        55  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P6645       0         2  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2310       0         4  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P7882       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P8769       0         1  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P3692       0        96  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "\n",
       "       violation_ratio  \n",
       "P4668              1.0  \n",
       "P6189              1.0  \n",
       "P2586              1.0  \n",
       "P3796              1.0  \n",
       "P2863              1.0  \n",
       "P8888              1.0  \n",
       "P4727              1.0  \n",
       "P5783              1.0  \n",
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       "P6645              1.0  \n",
       "P2310              1.0  \n",
       "P7882              1.0  \n",
       "P8769              1.0  \n",
       "P3692              1.0  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF2.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "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>P234</th>\n",
       "      <td>7232</td>\n",
       "      <td>997624</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.992803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2214</th>\n",
       "      <td>2989348</td>\n",
       "      <td>721476</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
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       "    <tr>\n",
       "      <th>P433</th>\n",
       "      <td>31113458</td>\n",
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       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.013849</td>\n",
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       "      <th>P275</th>\n",
       "      <td>7295</td>\n",
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       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.957377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2860</th>\n",
       "      <td>174842113</td>\n",
       "      <td>152425</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.000871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1435</th>\n",
       "      <td>2121637</td>\n",
       "      <td>92401</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.041734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P7902</th>\n",
       "      <td>20387</td>\n",
       "      <td>60838</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.749006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P708</th>\n",
       "      <td>45718</td>\n",
       "      <td>57276</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.556110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P197</th>\n",
       "      <td>122018</td>\n",
       "      <td>52917</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.302495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1598</th>\n",
       "      <td>40600</td>\n",
       "      <td>49329</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.548533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1111</th>\n",
       "      <td>1</td>\n",
       "      <td>46803</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.999979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P856</th>\n",
       "      <td>1451949</td>\n",
       "      <td>43599</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.029153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2248</th>\n",
       "      <td>4025</td>\n",
       "      <td>41608</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.911796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2325</th>\n",
       "      <td>4079</td>\n",
       "      <td>40619</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.908743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2243</th>\n",
       "      <td>4035</td>\n",
       "      <td>36870</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.901357</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         correct incorrect                                              paths  \\\n",
       "P234        7232    997624  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2214    2989348    721476  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P433    31113458    436934  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P275        7295    163856  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2860  174842113    152425  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1435    2121637     92401  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P7902      20387     60838  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P708       45718     57276  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P197      122018     52917  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1598      40600     49329  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1111          1     46803  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P856     1451949     43599  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2248       4025     41608  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2325       4079     40619  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2243       4035     36870  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "\n",
       "       violation_ratio  \n",
       "P234          0.992803  \n",
       "P2214         0.194425  \n",
       "P433          0.013849  \n",
       "P275          0.957377  \n",
       "P2860         0.000871  \n",
       "P1435         0.041734  \n",
       "P7902         0.749006  \n",
       "P708          0.556110  \n",
       "P197          0.302495  \n",
       "P1598         0.548533  \n",
       "P1111         0.999979  \n",
       "P856          0.029153  \n",
       "P2248         0.911796  \n",
       "P2325         0.908743  \n",
       "P2243         0.901357  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF2.sort_values(by=['incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "violent-match",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    2419.000000\n",
       "mean        0.244716\n",
       "std         0.335376\n",
       "min         0.000000\n",
       "25%         0.000000\n",
       "50%         0.041734\n",
       "75%         0.420357\n",
       "max         1.000000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF2['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "educational-thickness",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 2 - Violation Ratios')"
      ]
     },
     "execution_count": 68,
     "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": 69,
   "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": 69,
     "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": 70,
   "id": "asian-forwarding",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of properties whose violation ratio is greater than mean: 0/2419\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": 71,
   "id": "consecutive-plenty",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "codepConstDF3 = pd.DataFrame(codepConstViolations['Mand']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "digital-mileage",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P721</th>\n",
       "      <td>32349</td>\n",
       "      <td>13</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4019</th>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3672</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1808</th>\n",
       "      <td>53</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2948</th>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1770</th>\n",
       "      <td>169</td>\n",
       "      <td>3</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1787</th>\n",
       "      <td>2095</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2946</th>\n",
       "      <td>341</td>\n",
       "      <td>181</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1799</th>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1800</th>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1089 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths\n",
       "P721    32349        13  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P4019      11         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P3672       1         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1808      53         2  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P2948      17         2  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "...       ...       ...                                                ...\n",
       "P1770     169         3  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1787    2095         1  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P2946     341       181  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1799      23         1  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P1800      20         6  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "\n",
       "[1089 rows x 3 columns]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "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": 74,
   "id": "numerous-construction",
   "metadata": {},
   "outputs": [
    {
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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>P3823</th>\n",
       "      <td>55</td>\n",
       "      <td>7348</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>133.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5051</th>\n",
       "      <td>2</td>\n",
       "      <td>79</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>39.500000</td>\n",
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       "    <tr>\n",
       "      <th>P8613</th>\n",
       "      <td>2</td>\n",
       "      <td>43</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>21.500000</td>\n",
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       "    <tr>\n",
       "      <th>P219</th>\n",
       "      <td>17</td>\n",
       "      <td>98</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>5.764706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2431</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>5.000000</td>\n",
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       "    <tr>\n",
       "      <th>P2482</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>5.000000</td>\n",
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       "    <tr>\n",
       "      <th>P2685</th>\n",
       "      <td>9</td>\n",
       "      <td>43</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>4.777778</td>\n",
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       "    <tr>\n",
       "      <th>P3220</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
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       "      <td>4.000000</td>\n",
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       "      <th>P4069</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
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       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>3.900000</td>\n",
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       "      <th>P2432</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>3.000000</td>\n",
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       "    <tr>\n",
       "      <th>P7902</th>\n",
       "      <td>20387</td>\n",
       "      <td>60838</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>2.984157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3421</th>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P778</th>\n",
       "      <td>38</td>\n",
       "      <td>91</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>2.394737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2252</th>\n",
       "      <td>30</td>\n",
       "      <td>69</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>2.300000</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P3823      55      7348  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P5051       2        79  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P8613       2        43  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P219       17        98  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2431       1         5  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2482       1         5  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2685       9        43  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P3220       1         4  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P4069       1         4  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1959      10        39  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2432       1         3  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P7902   20387     60838  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P3421       6        15  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P778       38        91  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2252      30        69  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "\n",
       "       violation_ratio  \n",
       "P3823       133.600000  \n",
       "P5051        39.500000  \n",
       "P8613        21.500000  \n",
       "P219          5.764706  \n",
       "P2431         5.000000  \n",
       "P2482         5.000000  \n",
       "P2685         4.777778  \n",
       "P3220         4.000000  \n",
       "P4069         4.000000  \n",
       "P1959         3.900000  \n",
       "P2432         3.000000  \n",
       "P7902         2.984157  \n",
       "P3421         2.500000  \n",
       "P778          2.394737  \n",
       "P2252         2.300000  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF3.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "identified-marble",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "correct                                                         2935\n",
       "incorrect                                                         79\n",
       "paths              [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "violation_ratio                                             0.026917\n",
       "Name: P1713, dtype: object"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF3.loc['P1713']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "established-mounting",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id\tnode1\tlabel\tnode2\trank\tnode2;wikidatatype\r\n",
      "Q4681882-P1713-d878eb-9fff460e-0\tQ4681882\tP1713\t\"https://heightnetworth.com/adele-givens-net-worth-2020/\"\tnormal\turl\r\n",
      "Q1763529-P1713-c190308f-q1763529$ffe0aa48-c924-4913-ad50-343dc2d666f1-0\tQ1763529\tP1713\thttp://www.bundestag.de/bundestag/abgeordnete18/biografien/H/heck_stefan/258446\t\t\r\n",
      "Q2571287-P1713-6ac225c1-q2571287$bb1e6912-f58f-4106-be9c-55ad68bde759-0\tQ2571287\tP1713\thttp://www.bundestag.de/bundestag/abgeordnete18/biografien/L/lorenz_wilfried/258666\t\t\r\n",
      "Q41019201-P1713-16045f49-q41019201$f550afb5-9a1e-4e19-b3cf-7cacc61a2e9e-0\tQ41019201\tP1713\thttps://www.bundestag.de/abgeordnete/biografien/P/-/522580\t\t\r\n",
      "Q41105197-P1713-5ed2f31e-q41105197$d493bc2d-023b-4e2f-babc-221a3e720054-0\tQ41105197\tP1713\thttps://www.bundestag.de/abgeordnete/biografien/S/-/523620\t\t\r\n",
      "Q41160336-P1713-72b7c975-q41160336$7b946af4-7cb4-4dc8-8a98-6534fb729a4a-0\tQ41160336\tP1713\thttps://www.bundestag.de/abgeordnete/biografien/C/-/518870\t\t\r\n",
      "Q41356018-P1713-02640366-q41356018$5e59f8fa-cb0a-4abe-9a90-ad9e82a474c4-0\tQ41356018\tP1713\thttps://www.bundestag.de/abgeordnete/biografien/O/-/522500\t\t\r\n",
      "Q41435421-P1713-7c3cb808-q41435421$38660da2-d639-43fc-9adf-614771a29db9-0\tQ41435421\tP1713\thttps://www.bundestag.de/abgeordnete/biografien/M/muenz_volker/522234\t\t\r\n",
      "Q29946731-P1713-c997a778-q29946731$5e3c92ab-a298-4fb6-a49c-8e57816275c4-0\tQ29946731\tP1713\thttps://www.bundestag.de/abgeordnete/biografien/R/-/522880\t\t\r\n"
     ]
    }
   ],
   "source": [
    "!head ../../allConstraintsAnalysisWRemoved/codependencyConstraint_Final/Mand/claims.P1713.incorrect.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "naval-functionality",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cat: ../../allConstraintsAnalysisWRemoved/codependencyConstraint/Mand/claims.P1713.incorrect.tsv: No such file or directory\r\n"
     ]
    }
   ],
   "source": [
    "!cat ../../allConstraintsAnalysisWRemoved/codependencyConstraint/Mand/claims.P1713.incorrect.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "imposed-bibliography",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
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       "      <th>P1087</th>\n",
       "      <td>3774635</td>\n",
       "      <td>1210</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.000321</td>\n",
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       "      <th>P3647</th>\n",
       "      <td>407</td>\n",
       "      <td>510</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.253071</td>\n",
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       "    <tr>\n",
       "      <th>P7959</th>\n",
       "      <td>657006</td>\n",
       "      <td>322</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.000490</td>\n",
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       "    <tr>\n",
       "      <th>P380</th>\n",
       "      <td>2151</td>\n",
       "      <td>296</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.137610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3963</th>\n",
       "      <td>5997</td>\n",
       "      <td>281</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.046857</td>\n",
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       "    <tr>\n",
       "      <th>P3371</th>\n",
       "      <td>903</td>\n",
       "      <td>183</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.202658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2946</th>\n",
       "      <td>341</td>\n",
       "      <td>181</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.530792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P359</th>\n",
       "      <td>5375</td>\n",
       "      <td>171</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.031814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3318</th>\n",
       "      <td>278</td>\n",
       "      <td>167</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.600719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8425</th>\n",
       "      <td>241</td>\n",
       "      <td>165</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.684647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1954</th>\n",
       "      <td>1377</td>\n",
       "      <td>164</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.119099</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       correct incorrect                                              paths  \\\n",
       "P7902    20387     60838  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P3823       55      7348  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P141    131232      3270  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P428      2655      1223  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1087  3774635      1210  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P3647      407       510  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P7959   657006       322  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P380      2151       296  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P3963     5997       281  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P3371      903       183  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2946      341       181  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P359      5375       171  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P3318      278       167  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P8425      241       165  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1954     1377       164  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "\n",
       "       violation_ratio  \n",
       "P7902         2.984157  \n",
       "P3823       133.600000  \n",
       "P141          0.024918  \n",
       "P428          0.460640  \n",
       "P1087         0.000321  \n",
       "P3647         1.253071  \n",
       "P7959         0.000490  \n",
       "P380          0.137610  \n",
       "P3963         0.046857  \n",
       "P3371         0.202658  \n",
       "P2946         0.530792  \n",
       "P359          0.031814  \n",
       "P3318         0.600719  \n",
       "P8425         0.684647  \n",
       "P1954         0.119099  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF3.sort_values(by=['incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "emotional-crown",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1089.000000\n",
       "mean        0.298588\n",
       "std         4.291846\n",
       "min         0.000000\n",
       "25%         0.000000\n",
       "50%         0.000000\n",
       "75%         0.018405\n",
       "max       133.600000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF3['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "certain-freeze",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 3 - Violation Ratios')"
      ]
     },
     "execution_count": 80,
     "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": 81,
   "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": 81,
     "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": 82,
   "id": "studied-inclusion",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of properties whose violation ratio is greater than mean: 44/1089\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": 83,
   "id": "laughing-pressing",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "codepConstDF4 = pd.DataFrame(codepConstViolations['Normal']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "loving-swift",
   "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>P1404</th>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2100</th>\n",
       "      <td>364</td>\n",
       "      <td>97</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3862</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6769</th>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4474</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8174</th>\n",
       "      <td>367</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2778</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5418</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2783</th>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8177</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1925 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths\n",
       "P1404      13         1  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P2100     364        97  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P3862       7         1  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P6769      31         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P4474       2         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "...       ...       ...                                                ...\n",
       "P8174     367         1  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P2778       1         2  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P5418       3         1  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P2783      26         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "P8177       1         0  [../../allConstraintsAnalysisWRemoved/codepend...\n",
       "\n",
       "[1925 rows x 3 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "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": 86,
   "id": "closing-causing",
   "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>P1111</th>\n",
       "      <td>1</td>\n",
       "      <td>46803</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>46803.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P374</th>\n",
       "      <td>3</td>\n",
       "      <td>2542</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>847.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1116</th>\n",
       "      <td>8</td>\n",
       "      <td>3199</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>399.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P769</th>\n",
       "      <td>5</td>\n",
       "      <td>1851</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>370.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2643</th>\n",
       "      <td>48</td>\n",
       "      <td>17084</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>355.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1283</th>\n",
       "      <td>13</td>\n",
       "      <td>3871</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>297.769231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2758</th>\n",
       "      <td>123</td>\n",
       "      <td>18919</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>153.813008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2637</th>\n",
       "      <td>2</td>\n",
       "      <td>295</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>147.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P234</th>\n",
       "      <td>7232</td>\n",
       "      <td>997624</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>137.945796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1995</th>\n",
       "      <td>89</td>\n",
       "      <td>11360</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>127.640449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3156</th>\n",
       "      <td>3</td>\n",
       "      <td>365</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>121.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P525</th>\n",
       "      <td>1</td>\n",
       "      <td>100</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P852</th>\n",
       "      <td>46</td>\n",
       "      <td>4505</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>97.934783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P597</th>\n",
       "      <td>105</td>\n",
       "      <td>7210</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>68.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P562</th>\n",
       "      <td>7</td>\n",
       "      <td>449</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>64.142857</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P1111       1     46803  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P374        3      2542  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1116       8      3199  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P769        5      1851  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2643      48     17084  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1283      13      3871  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2758     123     18919  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2637       2       295  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P234     7232    997624  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1995      89     11360  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P3156       3       365  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P525        1       100  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P852       46      4505  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P597      105      7210  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P562        7       449  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "\n",
       "       violation_ratio  \n",
       "P1111     46803.000000  \n",
       "P374        847.333333  \n",
       "P1116       399.875000  \n",
       "P769        370.200000  \n",
       "P2643       355.916667  \n",
       "P1283       297.769231  \n",
       "P2758       153.813008  \n",
       "P2637       147.500000  \n",
       "P234        137.945796  \n",
       "P1995       127.640449  \n",
       "P3156       121.666667  \n",
       "P525        100.000000  \n",
       "P852         97.934783  \n",
       "P597         68.666667  \n",
       "P562         64.142857  "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF4.sort_values(by=['violation_ratio'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "weighted-input",
   "metadata": {},
   "outputs": [],
   "source": [
    "# list(codepConstDF4.sort_values(by=['violation_ratio'],ascending=False).head(5).paths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "brief-effect",
   "metadata": {
    "scrolled": false
   },
   "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",
       "      <th>violation_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P234</th>\n",
       "      <td>7232</td>\n",
       "      <td>997624</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>137.945796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2214</th>\n",
       "      <td>2989348</td>\n",
       "      <td>721476</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.241349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P433</th>\n",
       "      <td>31113458</td>\n",
       "      <td>436934</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.014043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P275</th>\n",
       "      <td>7295</td>\n",
       "      <td>163856</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>22.461412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2860</th>\n",
       "      <td>174842113</td>\n",
       "      <td>152425</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.000872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1435</th>\n",
       "      <td>2121637</td>\n",
       "      <td>92401</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.043552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P708</th>\n",
       "      <td>45718</td>\n",
       "      <td>57276</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.252811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P197</th>\n",
       "      <td>122018</td>\n",
       "      <td>52917</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.433682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1598</th>\n",
       "      <td>40600</td>\n",
       "      <td>49329</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>1.215000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1111</th>\n",
       "      <td>1</td>\n",
       "      <td>46803</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>46803.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P856</th>\n",
       "      <td>1451949</td>\n",
       "      <td>43599</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>0.030028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2248</th>\n",
       "      <td>4025</td>\n",
       "      <td>41608</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>10.337391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2325</th>\n",
       "      <td>4079</td>\n",
       "      <td>40619</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>9.958078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2243</th>\n",
       "      <td>4035</td>\n",
       "      <td>36870</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>9.137546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2244</th>\n",
       "      <td>4036</td>\n",
       "      <td>36801</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/codepend...</td>\n",
       "      <td>9.118186</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         correct incorrect                                              paths  \\\n",
       "P234        7232    997624  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2214    2989348    721476  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P433    31113458    436934  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P275        7295    163856  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2860  174842113    152425  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1435    2121637     92401  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P708       45718     57276  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P197      122018     52917  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1598      40600     49329  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P1111          1     46803  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P856     1451949     43599  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2248       4025     41608  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2325       4079     40619  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2243       4035     36870  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "P2244       4036     36801  [../../allConstraintsAnalysisWRemoved/codepend...   \n",
       "\n",
       "       violation_ratio  \n",
       "P234        137.945796  \n",
       "P2214         0.241349  \n",
       "P433          0.014043  \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          0.030028  \n",
       "P2248        10.337391  \n",
       "P2325         9.958078  \n",
       "P2243         9.137546  \n",
       "P2244         9.118186  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF4.sort_values(by=['incorrect'],ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "wireless-passenger",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     1925.000000\n",
       "mean        27.339989\n",
       "std       1067.009120\n",
       "min          0.000000\n",
       "25%          0.000000\n",
       "50%          0.060000\n",
       "75%          0.580000\n",
       "max      46803.000000\n",
       "Name: violation_ratio, dtype: float64"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codepConstDF4['violation_ratio'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "civilian-arnold",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Co-Dependency Constraint - Version 4 - Violation Ratios')"
      ]
     },
     "execution_count": 90,
     "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": 91,
   "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": 91,
     "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": 92,
   "id": "olympic-charlotte",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of properties whose violation ratio is greater than mean: 206/1925\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/propertiesSplitWRemoved/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": 2,
   "id": "known-wednesday",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-04-12 01:02:26 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', 'Q21510862']\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]->(:Q21510862)\" \\\n",
    "    -o ../../constraintsOP/symmetricConstraint/claims.constraints_list.tsv \\\n",
    "    --graph-cache ~/sqlite3_caches/temp1345.valuetype.sqlite3.db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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": 4,
   "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": 5,
   "id": "burning-involvement",
   "metadata": {},
   "outputs": [],
   "source": [
    "constDF2.to_csv(\"../../constraintsOP/symmetricConstraint/claims.constraints_all.tsv\",sep=\"\\t\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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": 7,
   "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": 8,
   "id": "alone-cattle",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['P2316', 'P2303'], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires['label'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "mighty-ordinary",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "P2316    42\n",
       "P2303     3\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires['label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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": 11,
   "id": "tender-valley",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cellular-canal",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfItemRequires = dfItemRequires.droplevel(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "primary-netherlands",
   "metadata": {},
   "source": [
    "### Query Generator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "pointed-haven",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d32afc9683cb4bdc9252b04f5608a5f2",
       "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_03'\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(\"../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv\")):\n",
    "            continue\n",
    "                \n",
    "        command = \"{ time ( kgtk --debug query -i ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "                    ../../propertiesSplitWRemoved/claims.\"+ prop +\".copy2.tsv \\\n",
    "                    --match 'tsv: (node1)-[nodeProp]->(node2), copy2: (node2)-[]->(node1)' \"\n",
    "        \n",
    "        os.system(\"cp ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv ../../propertiesSplitWRemoved/claims.\"+ prop +\".copy2.tsv\")\n",
    "        \n",
    "        if cnt % 60 == 0:\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplitWRemoved/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "        command\n",
    "        if type(constraint['P2303']) != list: # Exceptions not present\n",
    "            commandRest = \" --return 'nodeProp.id, node1 as `node1`, nodeProp.label as `label`, node2 as `node2`'  \\\n",
    "            -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --graph-cache ~/sqlite3_caches/\"+graph_cache_prefix+\"_\" + str(fCnt) + \".sqlite3.db; \\\n",
    "             kgtk --debug ifnotexists -i ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\" + prop + \".correct_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \\\n",
    "            -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \" kgtk cat -i ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + sfname + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplitWRemoved/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": 15,
   "id": "polar-canada",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "39"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "virtual-disney",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,2):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplitWRemoved/checkViolations/symmConst_Validator_\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "coral-cheese",
   "metadata": {},
   "source": [
    "### Analyze Violations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "governmental-backup",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a2a80c6bae2542478392fe2d804285f3",
       "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": "472d2081d6734791bba9336e216f61ec",
       "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": "47d0ebe8ae544a38aa6fc3d77a0b1cc6",
       "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": "3ad972dff67c46a8aaaabac8e18d8953",
       "version_major": 2,
       "version_minor": 0
      },
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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",
    "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 = \"../../allConstraintsAnalysisWRemoved/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": 17,
   "id": "helpful-offset",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "39"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(symmConstPropList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "entertaining-rescue",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1fd5da393bf3491a96b878ab99c558c9",
       "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": 5,
   "id": "copyrighted-marshall",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'mandatory': {'correct': 7768,\n",
       "  'incorrect': 41,\n",
       "  'total': 7809,\n",
       "  'percIncorrect': 0.525035215776668,\n",
       "  'propCount': 5},\n",
       " 'normal': {'correct': 14155303,\n",
       "  'incorrect': 3484987,\n",
       "  'total': 17640290,\n",
       "  'percIncorrect': 19.755837347345196,\n",
       "  'propCount': 31},\n",
       " 'suggestion': {'correct': 819403,\n",
       "  'incorrect': 33067,\n",
       "  'total': 852470,\n",
       "  'percIncorrect': 3.8789634825858976,\n",
       "  'propCount': 3}}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symmConstViolationsSummary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "enhanced-ontario",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18500569"
      ]
     },
     "execution_count": 19,
     "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": 7,
   "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>P1639</th>\n",
       "      <td>2105</td>\n",
       "      <td>25</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.011737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1560</th>\n",
       "      <td>3488</td>\n",
       "      <td>15</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.004282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3364</th>\n",
       "      <td>1813</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.000551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2152</th>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P6185</th>\n",
       "      <td>282</td>\n",
       "      <td>0</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P1639    2105        25  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P1560    3488        15  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P3364    1813         1  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P2152      80         0  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P6185     282         0  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "\n",
       "       violation_ratio  \n",
       "P1639         0.011737  \n",
       "P1560         0.004282  \n",
       "P3364         0.000551  \n",
       "P2152         0.000000  \n",
       "P6185         0.000000  "
      ]
     },
     "execution_count": 7,
     "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": 8,
   "id": "gross-extraction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\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>P2789</th>\n",
       "      <td>105201</td>\n",
       "      <td>6590</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.058949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1889</th>\n",
       "      <td>533338</td>\n",
       "      <td>24740</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.044331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P197</th>\n",
       "      <td>180864</td>\n",
       "      <td>1737</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.009513</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P2789  105201      6590  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P1889  533338     24740  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P197   180864      1737  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "\n",
       "       violation_ratio  \n",
       "P2789         0.058949  \n",
       "P1889         0.044331  \n",
       "P197          0.009513  "
      ]
     },
     "execution_count": 8,
     "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": 9,
   "id": "heavy-scout",
   "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>P5188</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5974</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1706</th>\n",
       "      <td>12</td>\n",
       "      <td>84</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2652</th>\n",
       "      <td>500</td>\n",
       "      <td>836</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.625749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P521</th>\n",
       "      <td>424</td>\n",
       "      <td>146</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.256140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P684</th>\n",
       "      <td>12091769</td>\n",
       "      <td>3437304</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.221346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3032</th>\n",
       "      <td>1743</td>\n",
       "      <td>316</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.153473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1382</th>\n",
       "      <td>11075</td>\n",
       "      <td>1657</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.130145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2293</th>\n",
       "      <td>14736</td>\n",
       "      <td>1969</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.117869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1327</th>\n",
       "      <td>7954</td>\n",
       "      <td>706</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.081524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4545</th>\n",
       "      <td>46</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.080000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P451</th>\n",
       "      <td>11072</td>\n",
       "      <td>790</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.066599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P530</th>\n",
       "      <td>6730</td>\n",
       "      <td>382</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.053712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3403</th>\n",
       "      <td>2174</td>\n",
       "      <td>112</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.048994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P460</th>\n",
       "      <td>265706</td>\n",
       "      <td>12622</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/symmetri...</td>\n",
       "      <td>0.045349</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        correct incorrect                                              paths  \\\n",
       "P5188         0         5  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P5974         0         1  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P1706        12        84  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P2652       500       836  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P521        424       146  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P684   12091769   3437304  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P3032      1743       316  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P1382     11075      1657  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P2293     14736      1969  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P1327      7954       706  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P4545        46         4  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P451      11072       790  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P530       6730       382  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P3403      2174       112  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "P460     265706     12622  [../../allConstraintsAnalysisWRemoved/symmetri...   \n",
       "\n",
       "       violation_ratio  \n",
       "P5188         1.000000  \n",
       "P5974         1.000000  \n",
       "P1706         0.875000  \n",
       "P2652         0.625749  \n",
       "P521          0.256140  \n",
       "P684          0.221346  \n",
       "P3032         0.153473  \n",
       "P1382         0.130145  \n",
       "P2293         0.117869  \n",
       "P1327         0.081524  \n",
       "P4545         0.080000  \n",
       "P451          0.066599  \n",
       "P530          0.053712  \n",
       "P3403         0.048994  \n",
       "P460          0.045349  "
      ]
     },
     "execution_count": 9,
     "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": 10,
   "id": "sexual-blowing",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !head ../../allConstraintsAnalysisWRemoved/symmetricConstraint/normal/claims.P3032.incorrect.tsv\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "legitimate-aspect",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Symmetric Normal Constraint - Violation Ratios')"
      ]
     },
     "execution_count": 11,
     "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": "markdown",
   "id": "unlikely-sewing",
   "metadata": {},
   "source": [
    "### Find out time required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "southern-reasoning",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "01675fcd83284c8ab2aa683f43fef458",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/108 [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",
    "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/propertiesSplitWRemoved/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": 12,
   "id": "classical-updating",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count     38.000000\n",
      "mean      15.315868\n",
      "std       61.526228\n",
      "min        2.069000\n",
      "25%        2.617750\n",
      "50%        3.003000\n",
      "75%        5.889250\n",
      "max      383.135000\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(pd.Series(times).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fundamental-bottle",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of times (in s) taken for symmetric constraint checks')"
      ]
     },
     "execution_count": 13,
     "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": [
    "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 both `(node1)-[prop]->(node2)` and `(node2)-[prop]->(node1)` must be present with few exceptions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dramatic-manchester",
   "metadata": {},
   "source": [
    "### Constraints File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "leading-server",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-04-11 11:05:47 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": 5,
   "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": 6,
   "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": 7,
   "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": 8,
   "id": "valid-throat",
   "metadata": {},
   "outputs": [],
   "source": [
    "constDF2.to_csv(\"../../constraintsOP/inverseConstraint/claims.constraints_all.tsv\",sep=\"\\t\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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": 10,
   "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": 11,
   "id": "attached-rings",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['P2306', 'P2316', 'P4155', 'P2303'], dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires['label'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "loving-mileage",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "P2306    110\n",
       "P2316     10\n",
       "P2303      2\n",
       "P4155      1\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires['label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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": 14,
   "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": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "extra-stomach",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfItemRequires = dfItemRequires.droplevel(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfItemRequires.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "composite-cutting",
   "metadata": {},
   "source": [
    "### Query Generator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "acoustic-belarus",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b59f5f665aca4df7a79eaa3420c47bc5",
       "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_Final'\n",
    "shellFileSuffix = 'invConst_Validator_new3_'\n",
    "graph_cache_file_prefix = \"inv_4_\"\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(\"../../propertiesSplitWRemoved/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(\"../../propertiesSplitWRemoved/claims.\"+ prop2 +\".tsv\")):\n",
    "            print(f\"File: ../../propertiesSplitWRemoved/claims.{prop2}.tsv does not exist\")\n",
    "            continue\n",
    "        \n",
    "        if cnt % 40 == 0:\n",
    "            if fOP:\n",
    "                fOP.close()\n",
    "            fCnt += 1\n",
    "            fOP = open(\"../../propertiesSplitWRemoved/checkViolations/\" + shellFileSuffix + str(fCnt) + \".sh\",\"w\")\n",
    "        \n",
    "            \n",
    "        command = \"{ time ( kgtk --debug query -i ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "                        ../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".\"\n",
    "            \n",
    "            command += commandRest + commandOPFile + \"incorrect.tsv ) } 2>> ../../propertiesSplitWRemoved/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 ../../allConstraintsAnalysisWRemoved/\" + 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 ../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \"\n",
    "            \n",
    "            commandOPFile = \"-o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "                    --match '(node1)-[]->()' --where 'node1 in \" + str(list(excptns)).replace(\"'\",'\"') + \"' \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + 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 ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_wo_exceptions.tsv \\\n",
    "            --filter-on ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\" + prop + \".incorrect_w_exceptions.tsv \\\n",
    "            --filter-mode NONE \\\n",
    "            --input-keys node1 label \\\n",
    "            --filter-keys node1 label \\\n",
    "            -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect.tsv; \"\n",
    "#             print(command)\n",
    "            fOP.write(command)\n",
    "            \n",
    "            command = \"  kgtk cat -i ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct_wo_exceptions.tsv \\\n",
    "                    ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".incorrect_w_exceptions.tsv \\\n",
    "                    -o ../../allConstraintsAnalysisWRemoved/\" + folderName + \"/\" + subFolderName + \"/claims.\"+ prop +\".correct.tsv ) } 2>> ../../propertiesSplitWRemoved/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": 18,
   "id": "large-climb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "110"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "involved-vietnamese",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import os\n",
    "# for i in range(1,7):\n",
    "#     os.system(\"screen -dm sh ../../propertiesSplitWRemoved/checkViolations/invConst_Validator_new3_\"+str(i)+\".sh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "retired-audio",
   "metadata": {},
   "source": [
    "### Analyze Violations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "specified-evanescence",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a74a23c16aba41699ee53f4b2fc430ee",
       "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": "daa550eb584443cfa2cebf366c663cd1",
       "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": "685dc6f19fa946aab60837d34b26ed2c",
       "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": "9196990f2ed74b3b85f6acfb8f5fbca9",
       "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 = \"../../allConstraintsAnalysisWRemoved/inverseConstraint_Final/\"\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": 21,
   "id": "circular-africa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "110"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(invConstPropList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "recreational-world",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "71e0e1be64f54492970176a634e04b60",
       "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": 23,
   "id": "headed-singer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'mandatory': {'correct': 6872,\n",
       "  'incorrect': 143,\n",
       "  'total': 7015,\n",
       "  'percIncorrect': 2.0384889522451886,\n",
       "  'propCount': 6},\n",
       " 'normal': {'correct': 7489249,\n",
       "  'incorrect': 328065,\n",
       "  'total': 7817314,\n",
       "  'percIncorrect': 4.1966460602708295,\n",
       "  'propCount': 100},\n",
       " 'suggestion': {'correct': 2150990,\n",
       "  'incorrect': 99214,\n",
       "  'total': 2250204,\n",
       "  'percIncorrect': 4.409111351681892,\n",
       "  'propCount': 4}}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "invConstViolationsSummary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "russian-steering",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10074533"
      ]
     },
     "execution_count": 24,
     "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": 25,
   "id": "sustained-prediction",
   "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>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>P2673</th>\n",
       "      <td>839</td>\n",
       "      <td>67</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.073951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4147</th>\n",
       "      <td>286</td>\n",
       "      <td>8</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.027211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P4149</th>\n",
       "      <td>286</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.013793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2033</th>\n",
       "      <td>1879</td>\n",
       "      <td>25</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.013130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P450</th>\n",
       "      <td>1779</td>\n",
       "      <td>22</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.012215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1151</th>\n",
       "      <td>1803</td>\n",
       "      <td>17</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.009341</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P2673     839        67  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P4147     286         8  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P4149     286         4  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P2033    1879        25  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P450     1779        22  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P1151    1803        17  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "\n",
       "       violation_ratio  \n",
       "P2673         0.073951  \n",
       "P4147         0.027211  \n",
       "P4149         0.013793  \n",
       "P2033         0.013130  \n",
       "P450          0.012215  \n",
       "P1151         0.009341  "
      ]
     },
     "execution_count": 25,
     "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": 26,
   "id": "valid-symposium",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>P1434</th>\n",
       "      <td>3677</td>\n",
       "      <td>5003</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.576382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P155</th>\n",
       "      <td>1036647</td>\n",
       "      <td>53103</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.048730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P156</th>\n",
       "      <td>1036636</td>\n",
       "      <td>40868</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.037928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P629</th>\n",
       "      <td>74030</td>\n",
       "      <td>240</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.003231</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       correct incorrect                                              paths  \\\n",
       "P1434     3677      5003  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P155   1036647     53103  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P156   1036636     40868  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P629     74030       240  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "\n",
       "       violation_ratio  \n",
       "P1434         0.576382  \n",
       "P155          0.048730  \n",
       "P156          0.037928  \n",
       "P629          0.003231  "
      ]
     },
     "execution_count": 26,
     "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": 27,
   "id": "resident-mustang",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>P1605</th>\n",
       "      <td>13</td>\n",
       "      <td>190</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.935961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3448</th>\n",
       "      <td>605</td>\n",
       "      <td>4575</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.883205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P925</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P926</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1029</th>\n",
       "      <td>490</td>\n",
       "      <td>2397</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.830274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P115</th>\n",
       "      <td>6948</td>\n",
       "      <td>24721</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.780606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5134</th>\n",
       "      <td>23</td>\n",
       "      <td>54</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.701299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P3816</th>\n",
       "      <td>14</td>\n",
       "      <td>27</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.658537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1283</th>\n",
       "      <td>1405</td>\n",
       "      <td>2423</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.632968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P8625</th>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.625000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P5132</th>\n",
       "      <td>81</td>\n",
       "      <td>90</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P425</th>\n",
       "      <td>2741</td>\n",
       "      <td>2938</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.517345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2512</th>\n",
       "      <td>221</td>\n",
       "      <td>159</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.418421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P1677</th>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P2578</th>\n",
       "      <td>1111</td>\n",
       "      <td>622</td>\n",
       "      <td>[../../allConstraintsAnalysisWRemoved/inverseC...</td>\n",
       "      <td>0.358915</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      correct incorrect                                              paths  \\\n",
       "P1605      13       190  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P3448     605      4575  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P925        1         5  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P926        1         5  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P1029     490      2397  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P115     6948     24721  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P5134      23        54  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P3816      14        27  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P1283    1405      2423  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P8625       9        15  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P5132      81        90  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P425     2741      2938  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P2512     221       159  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P1677       6         4  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "P2578    1111       622  [../../allConstraintsAnalysisWRemoved/inverseC...   \n",
       "\n",
       "       violation_ratio  \n",
       "P1605         0.935961  \n",
       "P3448         0.883205  \n",
       "P925          0.833333  \n",
       "P926          0.833333  \n",
       "P1029         0.830274  \n",
       "P115          0.780606  \n",
       "P5134         0.701299  \n",
       "P3816         0.658537  \n",
       "P1283         0.632968  \n",
       "P8625         0.625000  \n",
       "P5132         0.526316  \n",
       "P425          0.517345  \n",
       "P2512         0.418421  \n",
       "P1677         0.400000  \n",
       "P2578         0.358915  "
      ]
     },
     "execution_count": 27,
     "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": 28,
   "id": "dietary-venue",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "head: cannot open ‘../../allConstraintsAnalysisWRemoved/inverseConstraint/normal/claims.P925.incorrect.tsv’ for reading: No such file or directory\r\n"
     ]
    }
   ],
   "source": [
    "!head ../../allConstraintsAnalysisWRemoved/inverseConstraint/normal/claims.P925.incorrect.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "entire-gauge",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Symmetric Normal Constraint - Violation Ratios')"
      ]
     },
     "execution_count": 29,
     "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": [
    "invConstDF3.sort_values(by=['violation_ratio'],ascending=False)['violation_ratio'].plot.hist(bins=100).set_title(\"Symmetric Normal Constraint - Violation Ratios\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "working-stable",
   "metadata": {},
   "source": [
    "### Find out time required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "saved-twelve",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2e8a241c831b4968ae22d06c22c6e85e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/122 [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",
    "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/propertiesSplitWRemoved/checkViolations/exec_logs/'\n",
    "for filename in tqdm(os.listdir(filePath)):\n",
    "    if filename.startswith(\"invConst_Validator_new3\"):\n",
    "        tempTimes = extractTimes(filePath + filename)\n",
    "        times += tempTimes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "caroline-observation",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    110.000000\n",
      "mean       7.526318\n",
      "std       11.686634\n",
      "min        1.519000\n",
      "25%        2.624000\n",
      "50%        3.298500\n",
      "75%        6.463250\n",
      "max       80.846000\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(pd.Series(times).describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "static-conclusion",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of times (in s) taken for symmetric constraint checks')"
      ]
     },
     "execution_count": 57,
     "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": [
    "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": "code",
   "execution_count": null,
   "id": "numerical-month",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "stuck-criticism",
   "metadata": {},
   "source": [
    "# Analysis on properties with constraints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "driven-reference",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-04-03 09:14:12 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",
      "  PARAS: ['P2302']\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]->()\" \\\n",
    "    -o ../../constraintsOP/claims.constraints_list.tsv \\\n",
    "    --graph-cache ~/sqlite3_caches/temp1345.valuetype.sqlite3.db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "exciting-focus",
   "metadata": {},
   "outputs": [],
   "source": [
    "!kgtk unique -i ../../gdrive-kgtk-dump-2020-12-07/claims.properties.tsv.gz --column node1 -o ../../constraintsOP/claims.propList.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "flush-romania",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "node1\tlabel\tnode2\r\n",
      "P10\tcount\t17\r\n",
      "P1000\tcount\t10\r\n",
      "P1001\tcount\t26\r\n",
      "P1002\tcount\t9\r\n",
      "P1003\tcount\t20\r\n",
      "P1004\tcount\t33\r\n",
      "P1005\tcount\t21\r\n",
      "P1006\tcount\t26\r\n",
      "P1007\tcount\t19\r\n"
     ]
    }
   ],
   "source": [
    "!head ../../constraintsOP/claims.propList.tsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "chemical-harris",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "props = pd.read_csv(\"../../constraintsOP/claims.constraints_list.tsv\", sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "higher-underground",
   "metadata": {},
   "outputs": [],
   "source": [
    "props2 = props.groupby(['node1']).node2.apply(list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "light-appreciation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8100"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(props2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "yellow-helmet",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2336, 8100)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt = 0\n",
    "totalCnt = 0\n",
    "for prop in props2.index:\n",
    "    totalCnt += 1\n",
    "    if not(os.path.isfile(\"../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv\")):\n",
    "        continue\n",
    "    else:\n",
    "        cnt += 1\n",
    "cnt, totalCnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "detected-skiing",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "node1\n",
       "P10      [Q21502404, Q21510851, Q21510852, Q52004125, Q...\n",
       "P1000                    [Q21510856, Q21510865, Q53869507]\n",
       "P1001         [Q21502838, Q21503250, Q21510865, Q25796498]\n",
       "P1002                               [Q21503250, Q21510865]\n",
       "P1003    [Q19474404, Q21502404, Q21502410, Q21510851, Q...\n",
       "                               ...                        \n",
       "P1563    [Q19474404, Q21502404, Q21502410, Q21503247, Q...\n",
       "P1564    [Q19474404, Q21502404, Q21502410, Q21503247, Q...\n",
       "P1565    [Q19474404, Q21502404, Q21502410, Q21503247, Q...\n",
       "P1566    [Q19474404, Q21502404, Q21502410, Q21502838, Q...\n",
       "P1567    [Q19474404, Q21502404, Q21502410, Q21502838, Q...\n",
       "Name: node2, Length: 500, dtype: object"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "props2.head(500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "processed-perfume",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "props2 = pd.read_csv(\"../../constraintsOP/claims.propList.tsv\", sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "increasing-graphics",
   "metadata": {},
   "outputs": [],
   "source": [
    "props2 = props2.groupby(['node1']).node2.apply(list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "posted-ukraine",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8193"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(props2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "fifth-provision",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2415, 8193)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt = 0\n",
    "totalCnt = 0\n",
    "for prop in props2.index:\n",
    "    totalCnt += 1\n",
    "    if not(os.path.isfile(\"../../propertiesSplitWRemoved/claims.\"+ prop +\".tsv\")):\n",
    "        continue\n",
    "    else:\n",
    "        cnt += 1\n",
    "cnt, totalCnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "married-heating",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "node1\n",
       "P10      [Q21502404, Q21510851, Q21510852, Q52004125, Q...\n",
       "P1000                    [Q21510856, Q21510865, Q53869507]\n",
       "P1001         [Q21502838, Q21503250, Q21510865, Q25796498]\n",
       "P1002                               [Q21503250, Q21510865]\n",
       "P1003    [Q19474404, Q21502404, Q21502410, Q21510851, Q...\n",
       "                               ...                        \n",
       "P1563    [Q19474404, Q21502404, Q21502410, Q21503247, Q...\n",
       "P1564    [Q19474404, Q21502404, Q21502410, Q21503247, Q...\n",
       "P1565    [Q19474404, Q21502404, Q21502410, Q21503247, Q...\n",
       "P1566    [Q19474404, Q21502404, Q21502410, Q21502838, Q...\n",
       "P1567    [Q19474404, Q21502404, Q21502410, Q21502838, Q...\n",
       "Name: node2, Length: 500, dtype: object"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "props2.head(500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "magnetic-conditions",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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