test-profile.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test Profile Results\n",
    "\n",
    "This code will analize the output of `test_apps_checker.sh` script and will create a visual representaion of how fast each of the rules are running\n",
    "\n",
    "## Preconditions\n",
    "\n",
    "`.tmp/profile` directory with profiled `.json` files."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import libararies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import os\n",
    "import json\n",
    "import matplotlib.pyplot as plt "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Traserve files and obtain its content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "metadata": {},
   "outputs": [],
   "source": [
    "big_json = []\n",
    "names = []\n",
    "for filename in os.listdir(os.getcwd() + \"/.tmp/profile\"):\n",
    "    with open(os.path.join(os.getcwd() + \"/.tmp/profile\", filename), 'r') as f:\n",
    "       json_text = json.loads(f.read())\n",
    "       big_json.append(json_text[\"profile\"])\n",
    "       filename = os.path.basename(f.name).split('-')[1].split('.json')[0]\n",
    "       names.append(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create a dataframe and fix the columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    File Name  time.clang-tidy.cert-flp30-c.wall  \\\n",
      "0                 auth_acls.h                           0.000029   \n",
      "1        partitioned_rwlock.h                           0.000022   \n",
      "2            acl_table_user.h                           0.000019   \n",
      "3  password_policy_service.cc                           0.000018   \n",
      "4                user_table.h                           0.000020   \n",
      "5        sql_authorization.cc                           0.000887   \n",
      "6     sha2_password_common.cc                           0.000249   \n",
      "7               auth_common.h                           0.000020   \n",
      "8      sha2_password_common.h                           0.000024   \n",
      "9               role_tables.h                           0.000022   \n",
      "\n",
      "   time.clang-tidy.cert-flp30-c.user  time.clang-tidy.cert-flp30-c.sys  \\\n",
      "0                           0.000011                      1.000000e-05   \n",
      "1                           0.000012                      5.000000e-06   \n",
      "2                           0.000012                      3.000000e-06   \n",
      "3                           0.000006                      8.000000e-06   \n",
      "4                           0.000011                      5.000000e-06   \n",
      "5                           0.000501                      3.840000e-04   \n",
      "6                           0.000169                      8.100000e-05   \n",
      "7                           0.000014                      1.000000e-06   \n",
      "8                           0.000015                      4.000000e-06   \n",
      "9                           0.000005                      1.300000e-05   \n",
      "\n",
      "   time.clang-tidy.cert-dcl03-c.wall  time.clang-tidy.cert-dcl03-c.user  \\\n",
      "0                           0.000013                           0.000007   \n",
      "1                           0.000013                           0.000009   \n",
      "2                           0.000013                           0.000011   \n",
      "3                           0.003816                           0.000668   \n",
      "4                           0.000015                           0.000011   \n",
      "5                           0.084210                           0.066813   \n",
      "6                           0.023265                           0.015464   \n",
      "7                           0.000011                           0.000011   \n",
      "8                           0.000017                           0.000013   \n",
      "9                           0.000014                           0.000005   \n",
      "\n",
      "   time.clang-tidy.cert-dcl03-c.sys  time.clang-tidy.cert-exp45-c.wall  \\\n",
      "0                      7.000000e-06                           0.000015   \n",
      "1                      4.000000e-06                           0.000014   \n",
      "2                      2.000000e-06                           0.000344   \n",
      "3                      3.930000e-04                           0.000426   \n",
      "4                      4.000000e-06                           0.000016   \n",
      "5                      1.767300e-02                           0.030222   \n",
      "6                      7.854000e-03                           0.004800   \n",
      "7                      1.000000e-06                           0.000314   \n",
      "8                      4.000000e-06                           0.000015   \n",
      "9                      1.000000e-05                           0.000014   \n",
      "\n",
      "   time.clang-tidy.cert-exp45-c.user  time.clang-tidy.cert-exp45-c.sys  \\\n",
      "0                           0.000008                          0.000006   \n",
      "1                           0.000011                          0.000003   \n",
      "2                           0.000276                          0.000067   \n",
      "3                           0.000054                          0.000121   \n",
      "4                           0.000011                          0.000005   \n",
      "5                           0.019497                          0.010971   \n",
      "6                           0.001717                          0.003067   \n",
      "7                           0.000258                          0.000054   \n",
      "8                           0.000012                          0.000003   \n",
      "9                           0.000004                          0.000009   \n",
      "\n",
      "   time.clang-tidy.performance-no-int-to-ptr.wall  \\\n",
      "0                                        0.000015   \n",
      "1                                        0.000014   \n",
      "2                                        0.000248   \n",
      "3                                        0.000157   \n",
      "4                                        0.000014   \n",
      "5                                        0.033653   \n",
      "6                                        0.018050   \n",
      "7                                        0.008969   \n",
      "8                                        0.000016   \n",
      "9                                        0.000014   \n",
      "\n",
      "   time.clang-tidy.performance-no-int-to-ptr.user  \\\n",
      "0                                        0.000008   \n",
      "1                                        0.000010   \n",
      "2                                        0.000204   \n",
      "3                                        0.000022   \n",
      "4                                        0.000011   \n",
      "5                                        0.021202   \n",
      "6                                        0.010184   \n",
      "7                                        0.005477   \n",
      "8                                        0.000013   \n",
      "9                                        0.000004   \n",
      "\n",
      "   time.clang-tidy.performance-no-int-to-ptr.sys  \\\n",
      "0                                       0.000006   \n",
      "1                                       0.000004   \n",
      "2                                       0.000048   \n",
      "3                                       0.000161   \n",
      "4                                       0.000004   \n",
      "5                                       0.012085   \n",
      "6                                       0.007670   \n",
      "7                                       0.003248   \n",
      "8                                       0.000004   \n",
      "9                                       0.000009   \n",
      "\n",
      "   time.clang-tidy.readability-inconsistent-declaration-parameter-name.wall  \\\n",
      "0                                           0.000012                          \n",
      "1                                           0.000013                          \n",
      "2                                           0.000088                          \n",
      "3                                           0.000068                          \n",
      "4                                           0.000053                          \n",
      "5                                           0.040860                          \n",
      "6                                           0.027494                          \n",
      "7                                           0.011229                          \n",
      "8                                           0.000054                          \n",
      "9                                           0.000049                          \n",
      "\n",
      "   time.clang-tidy.readability-inconsistent-declaration-parameter-name.user  \\\n",
      "0                                           0.000006                          \n",
      "1                                           0.000008                          \n",
      "2                                           0.000070                          \n",
      "3                                           0.000057                          \n",
      "4                                           0.000037                          \n",
      "5                                           0.026528                          \n",
      "6                                           0.012961                          \n",
      "7                                           0.006169                          \n",
      "8                                           0.000041                          \n",
      "9                                           0.000015                          \n",
      "\n",
      "   time.clang-tidy.readability-inconsistent-declaration-parameter-name.sys  \n",
      "0                                           0.000006                        \n",
      "1                                           0.000004                        \n",
      "2                                           0.000019                        \n",
      "3                                           0.000033                        \n",
      "4                                           0.000016                        \n",
      "5                                           0.014297                        \n",
      "6                                           0.012221                        \n",
      "7                                           0.004869                        \n",
      "8                                           0.000011                        \n",
      "9                                           0.000035                        \n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(big_json)\n",
    "df['File Name'] = names\n",
    "columns = df.columns.tolist()\n",
    "columns.insert(0, columns.pop())\n",
    "df = df[columns]\n",
    "print(df[:10]) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove unnecessary dataframe parts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "metadata": {},
   "outputs": [],
   "source": [
    "# remove dataframe parts\n",
    "df = df[df.columns.drop(list(df.filter(regex='.*\\.sys|.*\\.wall')))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Export to .cvs information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "metadata": {},
   "outputs": [],
   "source": [
    "import uuid\n",
    "df.to_csv('.tmp/profile-pandas-bu-updated-1-mysql-{}.csv'.format(str(uuid.uuid4())), encoding='utf-8')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot the checker results time and the files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 334,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Remove columns where time.exp45 is less than 0.01 milliseconds\n",
    "df1 = df.loc[df['time.clang-tidy.cert-exp45-c.user'] >  0.02]\n",
    "len(df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 400x100 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x0 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure()\n",
    "f.set_figwidth(4)\n",
    "f.set_figheight(1)\n",
    "plot = df.plot(\n",
    "    x=\"File Name\",\n",
    "    y=[\n",
    "        \"time.clang-tidy.readability-inconsistent-declaration-parameter-name.user\",\n",
    "        \"time.clang-tidy.performance-no-int-to-ptr.user\",\n",
    "        \"time.clang-tidy.cert-dcl03-c.user\",\n",
    "        \"time.clang-tidy.cert-flp30-c.user\",\n",
    "        \"time.clang-tidy.cert-exp45-c.user\", \n",
    "    ], \n",
    "    kind=\"bar\"\n",
    ")\n",
    "plt.xlabel(\"File\")\n",
    "plt.ylabel(\"Time (milliseconds)\")\n",
    "plot.set_xticklabels([])\n",
    "plt.figure(figsize=(1,0), dpi=1000)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21    0.008757\n",
       "Name: time.clang-tidy.cert-exp45-c.user, dtype: float64"
      ]
     },
     "execution_count": 351,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nlargest(1,'time.clang-tidy.cert-exp45-c.user')['time.clang-tidy.cert-exp45-c.user']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sqlalchemy import create_engine \n",
    "import datetime as dt \n",
    "from IPython.display import display\n",
    "\n",
    "# interactive graphing\n",
    "import plotly.offline as py \n",
    "from plotly.graph_objs import Bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "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>Unnamed: 0</th>\n",
       "      <th>File Name</th>\n",
       "      <th>time.clang-tidy.cert-flp30-c.user</th>\n",
       "      <th>time.clang-tidy.cert-dcl03-c.user</th>\n",
       "      <th>time.clang-tidy.cert-exp45-c.user</th>\n",
       "      <th>time.clang-tidy.performance-no-int-to-ptr.user</th>\n",
       "      <th>time.clang-tidy.readability-inconsistent-declaration-parameter-name.user</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>sql_user.cc</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.044636</td>\n",
       "      <td>0.055799</td>\n",
       "      <td>0.002602</td>\n",
       "      <td>0.004353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>sql_auth_cache.cc</td>\n",
       "      <td>0.000157</td>\n",
       "      <td>0.030018</td>\n",
       "      <td>0.046265</td>\n",
       "      <td>0.002368</td>\n",
       "      <td>0.004129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0          File Name  time.clang-tidy.cert-flp30-c.user  \\\n",
       "0           0        sql_user.cc                           0.000125   \n",
       "1           1  sql_auth_cache.cc                           0.000157   \n",
       "\n",
       "   time.clang-tidy.cert-dcl03-c.user  time.clang-tidy.cert-exp45-c.user  \\\n",
       "0                           0.044636                           0.055799   \n",
       "1                           0.030018                           0.046265   \n",
       "\n",
       "   time.clang-tidy.performance-no-int-to-ptr.user  \\\n",
       "0                                        0.002602   \n",
       "1                                        0.002368   \n",
       "\n",
       "   time.clang-tidy.readability-inconsistent-declaration-parameter-name.user  \n",
       "0                                           0.004353                         \n",
       "1                                           0.004129                         "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(pd.read_csv('.tmp/profile-pandas-bu-updated-1-ffmpeg-68320386-98ca-412f-84c0-9164ffd53a93.csv', nrows=2).head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.read_csv('.tmp/-81bcf952-8bf1-4f5e-8275-064ba5fbd3dprofile-pandas-td-mysql5.csv')\n",
    "df2 = df2.sort_values(by=\"File Name\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 400x100 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x0 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure()\n",
    "f.set_figwidth(4)\n",
    "f.set_figheight(1)\n",
    "plot = df2.plot(\n",
    "    x=\"File Name\",\n",
    "    y=[\n",
    "        \"time.clang-tidy.readability-inconsistent-declaration-parameter-name.user\",\n",
    "        \"time.clang-tidy.performance-no-int-to-ptr.user\",\n",
    "        \"time.clang-tidy.cert-dcl03-c.user\",\n",
    "        \"time.clang-tidy.cert-flp30-c.user\",\n",
    "        \"time.clang-tidy.cert-exp45-c.user\", \n",
    "    ], \n",
    "    kind=\"bar\"\n",
    ")\n",
    "plt.xlabel(\"File\")\n",
    "plt.ylabel(\"Time (milliseconds)\")\n",
    "# plot.set_xticklabels([])\n",
    "plt.figure(figsize=(1,0), dpi=1000)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = pd.read_csv('.tmp/profile-pandas-bu-updated-1-mysql-a03317aa-7a03-43d3-ba85-f7b81ab65dcc.csv')\n",
    "# df3 = df3[sorted(df3)]\n",
    "\n",
    "df3 = df3.sort_values(by=\"File Name\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 400x100 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x0 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure()\n",
    "f.set_figwidth(4)\n",
    "f.set_figheight(1)\n",
    "plot = df3.plot(\n",
    "    x=\"File Name\",\n",
    "    y=[\n",
    "\n",
    "        \"time.clang-tidy.cert-exp45-c.user\", \n",
    "        \"time.clang-tidy.readability-inconsistent-declaration-parameter-name.user\",\n",
    "        \"time.clang-tidy.performance-no-int-to-ptr.user\",\n",
    "        \"time.clang-tidy.cert-dcl03-c.user\",\n",
    "        \"time.clang-tidy.cert-flp30-c.user\",\n",
    "    ], \n",
    "    kind=\"bar\"\n",
    ")\n",
    "plt.xlabel(\"File\")\n",
    "plt.ylabel(\"Time (milliseconds)\")\n",
    "# plot.set_xticklabels([])\n",
    "plt.figure(figsize=(1,0), dpi=1000)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_different_rows(source_df, new_df):\n",
    "    \"\"\"Returns just the rows from the new dataframe that differ from the source dataframe\"\"\"\n",
    "    merged_df = source_df.merge(new_df, indicator=True, how='outer')\n",
    "    changed_rows_df = merged_df[merged_df['_merge'] == 'right_only']\n",
    "    return changed_rows_df.drop('_merge', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "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>Unnamed: 0</th>\n",
       "      <th>File Name</th>\n",
       "      <th>time.clang-tidy.cert-flp30-c.user</th>\n",
       "      <th>time.clang-tidy.cert-dcl03-c.user</th>\n",
       "      <th>time.clang-tidy.cert-exp45-c.user</th>\n",
       "      <th>time.clang-tidy.performance-no-int-to-ptr.user</th>\n",
       "      <th>time.clang-tidy.readability-inconsistent-declaration-parameter-name.user</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>21</td>\n",
       "      <td>user_table.h</td>\n",
       "      <td>3.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.200000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>4</td>\n",
       "      <td>sql_user_table.h</td>\n",
       "      <td>3.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.900000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>26</td>\n",
       "      <td>sql_user_table.cc</td>\n",
       "      <td>9.800000e-05</td>\n",
       "      <td>3.469800e-02</td>\n",
       "      <td>3.545000e-03</td>\n",
       "      <td>2.234000e-03</td>\n",
       "      <td>5.143000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>16</td>\n",
       "      <td>sql_user.h</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>5</td>\n",
       "      <td>sql_user.cc</td>\n",
       "      <td>1.720000e-04</td>\n",
       "      <td>1.613800e-02</td>\n",
       "      <td>2.590000e-02</td>\n",
       "      <td>2.654000e-03</td>\n",
       "      <td>5.431000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>29</td>\n",
       "      <td>sql_security_ctx.h</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>5.000000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>39</td>\n",
       "      <td>sql_security_ctx.cc</td>\n",
       "      <td>8.100000e-05</td>\n",
       "      <td>2.985900e-02</td>\n",
       "      <td>3.442000e-03</td>\n",
       "      <td>2.006000e-03</td>\n",
       "      <td>5.211000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>23</td>\n",
       "      <td>sql_mfa.h</td>\n",
       "      <td>3.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>1</td>\n",
       "      <td>sql_mfa.cc</td>\n",
       "      <td>5.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>11</td>\n",
       "      <td>sql_authorization.h</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.700000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>24</td>\n",
       "      <td>sql_authorization.cc</td>\n",
       "      <td>1.320000e-04</td>\n",
       "      <td>4.504800e-02</td>\n",
       "      <td>7.668000e-03</td>\n",
       "      <td>3.237000e-03</td>\n",
       "      <td>5.714000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>8</td>\n",
       "      <td>sql_authentication.h</td>\n",
       "      <td>4.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>4.300000e-05</td>\n",
       "      <td>1.090000e-03</td>\n",
       "      <td>1.377000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>42</td>\n",
       "      <td>sql_authentication.cc</td>\n",
       "      <td>6.400000e-05</td>\n",
       "      <td>2.807000e-02</td>\n",
       "      <td>1.938000e-03</td>\n",
       "      <td>3.066000e-03</td>\n",
       "      <td>3.219000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>38</td>\n",
       "      <td>sql_auth_cache.h</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.500000e-05</td>\n",
       "      <td>2.300000e-05</td>\n",
       "      <td>6.000000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>20</td>\n",
       "      <td>sql_auth_cache.cc</td>\n",
       "      <td>1.350000e-04</td>\n",
       "      <td>2.846500e-02</td>\n",
       "      <td>3.500000e-03</td>\n",
       "      <td>1.247000e-03</td>\n",
       "      <td>3.519000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>44</td>\n",
       "      <td>sql_acl.h</td>\n",
       "      <td>3.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.000000e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>28</td>\n",
       "      <td>sha2_password_common.h</td>\n",
       "      <td>3.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.300000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>31</td>\n",
       "      <td>sha2_password_common.cc</td>\n",
       "      <td>4.200000e-05</td>\n",
       "      <td>1.332900e-02</td>\n",
       "      <td>9.650000e-04</td>\n",
       "      <td>1.658000e-03</td>\n",
       "      <td>2.669000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>18</td>\n",
       "      <td>sha2_password.cc</td>\n",
       "      <td>1.220000e-04</td>\n",
       "      <td>2.932800e-02</td>\n",
       "      <td>4.925100e-02</td>\n",
       "      <td>6.086000e-03</td>\n",
       "      <td>1.367700e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>40</td>\n",
       "      <td>service_security_context.cc</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>3.630000e-04</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>4.800000e-05</td>\n",
       "      <td>5.600000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2</td>\n",
       "      <td>roles.h</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>37</td>\n",
       "      <td>roles.cc</td>\n",
       "      <td>4.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>22</td>\n",
       "      <td>role_tables.h</td>\n",
       "      <td>3.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.600000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>6</td>\n",
       "      <td>role_tables.cc</td>\n",
       "      <td>6.300000e-05</td>\n",
       "      <td>1.846900e-02</td>\n",
       "      <td>1.839000e-03</td>\n",
       "      <td>1.690000e-03</td>\n",
       "      <td>3.382000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>10</td>\n",
       "      <td>password_policy_service.cc</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.400000e-04</td>\n",
       "      <td>2.500000e-05</td>\n",
       "      <td>1.500000e-05</td>\n",
       "      <td>1.700000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>32</td>\n",
       "      <td>password.cc</td>\n",
       "      <td>1.000000e-05</td>\n",
       "      <td>4.900000e-05</td>\n",
       "      <td>4.160000e-04</td>\n",
       "      <td>5.200000e-05</td>\n",
       "      <td>6.900000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>0</td>\n",
       "      <td>partitioned_rwlock.h</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>34</td>\n",
       "      <td>partial_revokes.h</td>\n",
       "      <td>4.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>3</td>\n",
       "      <td>partial_revokes.cc</td>\n",
       "      <td>1.340000e-04</td>\n",
       "      <td>1.236000e-02</td>\n",
       "      <td>2.265300e-02</td>\n",
       "      <td>2.731000e-03</td>\n",
       "      <td>6.594000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>30</td>\n",
       "      <td>i_sha2_password_common.h</td>\n",
       "      <td>4.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>4.400000e-05</td>\n",
       "      <td>8.880000e-04</td>\n",
       "      <td>1.593000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>12</td>\n",
       "      <td>i_sha2_password.h</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>7</td>\n",
       "      <td>dynamic_privileges_impl.h</td>\n",
       "      <td>4.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.600000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>15</td>\n",
       "      <td>dynamic_privileges_impl.cc</td>\n",
       "      <td>5.600000e-05</td>\n",
       "      <td>2.143700e-02</td>\n",
       "      <td>1.826000e-03</td>\n",
       "      <td>1.625000e-03</td>\n",
       "      <td>3.334000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>19</td>\n",
       "      <td>dynamic_privilege_table.h</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>8.000000e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>13</td>\n",
       "      <td>dynamic_privilege_table.cc</td>\n",
       "      <td>6.700000e-05</td>\n",
       "      <td>1.561900e-02</td>\n",
       "      <td>1.905000e-03</td>\n",
       "      <td>1.771000e-03</td>\n",
       "      <td>3.479000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>36</td>\n",
       "      <td>auth_utility.h</td>\n",
       "      <td>3.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>41</td>\n",
       "      <td>auth_internal.h</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>6.000000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>17</td>\n",
       "      <td>auth_common.h</td>\n",
       "      <td>3.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>4.200000e-05</td>\n",
       "      <td>1.222000e-03</td>\n",
       "      <td>1.504000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>33</td>\n",
       "      <td>auth_common.cc</td>\n",
       "      <td>4.000000e-06</td>\n",
       "      <td>4.290000e-04</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>5.800000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>43</td>\n",
       "      <td>auth_acls.h</td>\n",
       "      <td>3.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>9</td>\n",
       "      <td>auth_acls.cc</td>\n",
       "      <td>8.400000e-05</td>\n",
       "      <td>6.206000e-03</td>\n",
       "      <td>2.248800e-02</td>\n",
       "      <td>2.464000e-03</td>\n",
       "      <td>3.036000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>35</td>\n",
       "      <td>acl_table_user.h</td>\n",
       "      <td>3.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>3.400000e-05</td>\n",
       "      <td>2.000000e-05</td>\n",
       "      <td>1.800000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>14</td>\n",
       "      <td>acl_table_user.cc</td>\n",
       "      <td>8.200000e-05</td>\n",
       "      <td>2.533500e-02</td>\n",
       "      <td>2.901000e-03</td>\n",
       "      <td>1.725000e-03</td>\n",
       "      <td>4.582000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>27</td>\n",
       "      <td>acl_table_base.h</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>1.200000e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>25</td>\n",
       "      <td>acl_change_notification.h</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>1.000000e-06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.000000e-06</td>\n",
       "      <td>2.000000e-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0                    File Name  \\\n",
       "45          21                 user_table.h   \n",
       "46           4             sql_user_table.h   \n",
       "47          26            sql_user_table.cc   \n",
       "48          16                   sql_user.h   \n",
       "49           5                  sql_user.cc   \n",
       "50          29           sql_security_ctx.h   \n",
       "51          39          sql_security_ctx.cc   \n",
       "52          23                    sql_mfa.h   \n",
       "53           1                   sql_mfa.cc   \n",
       "54          11          sql_authorization.h   \n",
       "55          24         sql_authorization.cc   \n",
       "56           8         sql_authentication.h   \n",
       "57          42        sql_authentication.cc   \n",
       "58          38             sql_auth_cache.h   \n",
       "59          20            sql_auth_cache.cc   \n",
       "60          44                    sql_acl.h   \n",
       "61          28       sha2_password_common.h   \n",
       "62          31      sha2_password_common.cc   \n",
       "63          18             sha2_password.cc   \n",
       "64          40  service_security_context.cc   \n",
       "65           2                      roles.h   \n",
       "66          37                     roles.cc   \n",
       "67          22                role_tables.h   \n",
       "68           6               role_tables.cc   \n",
       "69          10   password_policy_service.cc   \n",
       "70          32                  password.cc   \n",
       "71           0         partitioned_rwlock.h   \n",
       "72          34            partial_revokes.h   \n",
       "73           3           partial_revokes.cc   \n",
       "74          30     i_sha2_password_common.h   \n",
       "75          12            i_sha2_password.h   \n",
       "76           7    dynamic_privileges_impl.h   \n",
       "77          15   dynamic_privileges_impl.cc   \n",
       "78          19    dynamic_privilege_table.h   \n",
       "79          13   dynamic_privilege_table.cc   \n",
       "80          36               auth_utility.h   \n",
       "81          41              auth_internal.h   \n",
       "82          17                auth_common.h   \n",
       "83          33               auth_common.cc   \n",
       "84          43                  auth_acls.h   \n",
       "85           9                 auth_acls.cc   \n",
       "86          35             acl_table_user.h   \n",
       "87          14            acl_table_user.cc   \n",
       "88          27             acl_table_base.h   \n",
       "89          25    acl_change_notification.h   \n",
       "\n",
       "    time.clang-tidy.cert-flp30-c.user  time.clang-tidy.cert-dcl03-c.user  \\\n",
       "45                       3.000000e-06                       2.000000e-06   \n",
       "46                       3.000000e-06                       2.000000e-06   \n",
       "47                       9.800000e-05                       3.469800e-02   \n",
       "48                       2.000000e-06                       1.000000e-06   \n",
       "49                       1.720000e-04                       1.613800e-02   \n",
       "50                       2.000000e-06                       0.000000e+00   \n",
       "51                       8.100000e-05                       2.985900e-02   \n",
       "52                       3.000000e-06                       2.000000e-06   \n",
       "53                       5.000000e-06                       2.000000e-06   \n",
       "54                       2.000000e-06                       1.000000e-06   \n",
       "55                       1.320000e-04                       4.504800e-02   \n",
       "56                       4.000000e-06                       2.000000e-06   \n",
       "57                       6.400000e-05                       2.807000e-02   \n",
       "58                       1.000000e-06                       1.000000e-06   \n",
       "59                       1.350000e-04                       2.846500e-02   \n",
       "60                       3.000000e-06                       2.000000e-06   \n",
       "61                       3.000000e-06                       1.000000e-06   \n",
       "62                       4.200000e-05                       1.332900e-02   \n",
       "63                       1.220000e-04                       2.932800e-02   \n",
       "64                       2.000000e-06                       3.630000e-04   \n",
       "65                       2.000000e-06                       0.000000e+00   \n",
       "66                       4.000000e-06                       2.000000e-06   \n",
       "67                       3.000000e-06                       2.000000e-06   \n",
       "68                       6.300000e-05                       1.846900e-02   \n",
       "69                       2.000000e-06                       2.400000e-04   \n",
       "70                       1.000000e-05                       4.900000e-05   \n",
       "71                       1.000000e-06                       0.000000e+00   \n",
       "72                       4.000000e-06                       2.000000e-06   \n",
       "73                       1.340000e-04                       1.236000e-02   \n",
       "74                       4.000000e-06                       2.000000e-06   \n",
       "75                       1.000000e-06                       1.000000e-06   \n",
       "76                       4.000000e-06                       2.000000e-06   \n",
       "77                       5.600000e-05                       2.143700e-02   \n",
       "78                       2.000000e-06                       0.000000e+00   \n",
       "79                       6.700000e-05                       1.561900e-02   \n",
       "80                       3.000000e-06                       1.000000e-06   \n",
       "81                       2.000000e-06                       1.000000e-06   \n",
       "82                       3.000000e-06                       1.000000e-06   \n",
       "83                       4.000000e-06                       4.290000e-04   \n",
       "84                       3.000000e-06                       1.000000e-06   \n",
       "85                       8.400000e-05                       6.206000e-03   \n",
       "86                       3.000000e-06                       1.000000e-06   \n",
       "87                       8.200000e-05                       2.533500e-02   \n",
       "88                       1.000000e-06                       1.000000e-06   \n",
       "89                       1.000000e-06                       1.000000e-06   \n",
       "\n",
       "    time.clang-tidy.cert-exp45-c.user  \\\n",
       "45                       1.000000e-06   \n",
       "46                       1.000000e-06   \n",
       "47                       3.545000e-03   \n",
       "48                       1.000000e-06   \n",
       "49                       2.590000e-02   \n",
       "50                       1.000000e-06   \n",
       "51                       3.442000e-03   \n",
       "52                       1.000000e-06   \n",
       "53                       1.000000e-06   \n",
       "54                       1.000000e-06   \n",
       "55                       7.668000e-03   \n",
       "56                       4.300000e-05   \n",
       "57                       1.938000e-03   \n",
       "58                       1.500000e-05   \n",
       "59                       3.500000e-03   \n",
       "60                       1.000000e-06   \n",
       "61                       1.000000e-06   \n",
       "62                       9.650000e-04   \n",
       "63                       4.925100e-02   \n",
       "64                       1.000000e-06   \n",
       "65                       1.000000e-06   \n",
       "66                       2.000000e-06   \n",
       "67                       1.000000e-06   \n",
       "68                       1.839000e-03   \n",
       "69                       2.500000e-05   \n",
       "70                       4.160000e-04   \n",
       "71                       1.000000e-06   \n",
       "72                       2.000000e-06   \n",
       "73                       2.265300e-02   \n",
       "74                       4.400000e-05   \n",
       "75                       1.000000e-06   \n",
       "76                       2.000000e-06   \n",
       "77                       1.826000e-03   \n",
       "78                       1.000000e-06   \n",
       "79                       1.905000e-03   \n",
       "80                       1.000000e-06   \n",
       "81                       2.000000e-06   \n",
       "82                       4.200000e-05   \n",
       "83                       2.000000e-06   \n",
       "84                       1.000000e-06   \n",
       "85                       2.248800e-02   \n",
       "86                       3.400000e-05   \n",
       "87                       2.901000e-03   \n",
       "88                       0.000000e+00   \n",
       "89                       0.000000e+00   \n",
       "\n",
       "    time.clang-tidy.performance-no-int-to-ptr.user  \\\n",
       "45                                    0.000000e+00   \n",
       "46                                    2.000000e-06   \n",
       "47                                    2.234000e-03   \n",
       "48                                    0.000000e+00   \n",
       "49                                    2.654000e-03   \n",
       "50                                    1.000000e-06   \n",
       "51                                    2.006000e-03   \n",
       "52                                    1.000000e-06   \n",
       "53                                    2.000000e-06   \n",
       "54                                    2.000000e-06   \n",
       "55                                    3.237000e-03   \n",
       "56                                    1.090000e-03   \n",
       "57                                    3.066000e-03   \n",
       "58                                    2.300000e-05   \n",
       "59                                    1.247000e-03   \n",
       "60                                    0.000000e+00   \n",
       "61                                    1.000000e-06   \n",
       "62                                    1.658000e-03   \n",
       "63                                    6.086000e-03   \n",
       "64                                    4.800000e-05   \n",
       "65                                    0.000000e+00   \n",
       "66                                    2.000000e-06   \n",
       "67                                    1.000000e-06   \n",
       "68                                    1.690000e-03   \n",
       "69                                    1.500000e-05   \n",
       "70                                    5.200000e-05   \n",
       "71                                    0.000000e+00   \n",
       "72                                    2.000000e-06   \n",
       "73                                    2.731000e-03   \n",
       "74                                    8.880000e-04   \n",
       "75                                    1.000000e-06   \n",
       "76                                    1.000000e-06   \n",
       "77                                    1.625000e-03   \n",
       "78                                    0.000000e+00   \n",
       "79                                    1.771000e-03   \n",
       "80                                    1.000000e-06   \n",
       "81                                    2.000000e-06   \n",
       "82                                    1.222000e-03   \n",
       "83                                    2.000000e-06   \n",
       "84                                    0.000000e+00   \n",
       "85                                    2.464000e-03   \n",
       "86                                    2.000000e-05   \n",
       "87                                    1.725000e-03   \n",
       "88                                    2.000000e-06   \n",
       "89                                    2.000000e-06   \n",
       "\n",
       "    time.clang-tidy.readability-inconsistent-declaration-parameter-name.user  \n",
       "45                                       1.200000e-05                         \n",
       "46                                       1.900000e-05                         \n",
       "47                                       5.143000e-03                         \n",
       "48                                       0.000000e+00                         \n",
       "49                                       5.431000e-03                         \n",
       "50                                       5.000000e-05                         \n",
       "51                                       5.211000e-03                         \n",
       "52                                       1.000000e-06                         \n",
       "53                                       2.000000e-06                         \n",
       "54                                       1.700000e-05                         \n",
       "55                                       5.714000e-03                         \n",
       "56                                       1.377000e-03                         \n",
       "57                                       3.219000e-03                         \n",
       "58                                       6.000000e-05                         \n",
       "59                                       3.519000e-03                         \n",
       "60                                       2.000000e-06                         \n",
       "61                                       1.300000e-05                         \n",
       "62                                       2.669000e-03                         \n",
       "63                                       1.367700e-02                         \n",
       "64                                       5.600000e-05                         \n",
       "65                                       1.000000e-06                         \n",
       "66                                       1.000000e-06                         \n",
       "67                                       1.600000e-05                         \n",
       "68                                       3.382000e-03                         \n",
       "69                                       1.700000e-05                         \n",
       "70                                       6.900000e-05                         \n",
       "71                                       0.000000e+00                         \n",
       "72                                       2.000000e-06                         \n",
       "73                                       6.594000e-03                         \n",
       "74                                       1.593000e-03                         \n",
       "75                                       0.000000e+00                         \n",
       "76                                       1.600000e-05                         \n",
       "77                                       3.334000e-03                         \n",
       "78                                       8.000000e-06                         \n",
       "79                                       3.479000e-03                         \n",
       "80                                       2.000000e-06                         \n",
       "81                                       6.000000e-05                         \n",
       "82                                       1.504000e-03                         \n",
       "83                                       5.800000e-05                         \n",
       "84                                       1.000000e-06                         \n",
       "85                                       3.036000e-03                         \n",
       "86                                       1.800000e-05                         \n",
       "87                                       4.582000e-03                         \n",
       "88                                       1.200000e-05                         \n",
       "89                                       2.000000e-06                         "
      ]
     },
     "execution_count": 318,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_different_rows(df2, df3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 377,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.603311999999965"
      ]
     },
     "execution_count": 377,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Find total time of the checkers execution\n",
    "\n",
    "df2['time.clang-tidy.cert-exp45-c.user'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.04218799999999989"
      ]
     },
     "execution_count": 378,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3['time.clang-tidy.cert-exp45-c.user'].sum()\n",
    "\n",
    "## Overall Bottom-Up solution is approx. 4 times faster than TopDown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    45.000000\n",
       "mean      0.013407\n",
       "std       0.022367\n",
       "min       0.000000\n",
       "25%       0.000001\n",
       "50%       0.000036\n",
       "75%       0.025712\n",
       "max       0.094002\n",
       "Name: time.clang-tidy.cert-exp45-c.user, dtype: float64"
      ]
     },
     "execution_count": 379,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2['time.clang-tidy.cert-exp45-c.user'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    45.000000\n",
       "mean      0.006125\n",
       "std       0.014764\n",
       "min       0.000004\n",
       "25%       0.000008\n",
       "50%       0.000012\n",
       "75%       0.004746\n",
       "max       0.072732\n",
       "Name: time.clang-tidy.cert-exp45-c.user, dtype: float64"
      ]
     },
     "execution_count": 391,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3['time.clang-tidy.cert-exp45-c.user'].describe()"
   ]
  }
 ],
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