ClusterAnalysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "errorlogs_30100 = pd.read_pickle('errlogs.pkl') # from 30K to 100K\n",
    "errorlogs_100end = pd.read_csv('errlogs-100000-end.csv') # from 100K to end \n",
    "errorlogs = pd.concat([errorlogs_30100, errorlogs_100end])\n",
    "del errorlogs_30100\n",
    "del errorlogs_100end\n",
    "# found thanks to clustering! \n",
    "suspicious_cids = [70715, 70716, 74459, 74460, 74461, 74463, 74464]\n",
    "suspicious_cids.append(88301) # very interesting case (as a data analyst: removing an outlier can dramatically ease your job!)\n",
    "for cid in suspicious_cids:\n",
    "    errorlogs = errorlogs[errorlogs.cid != cid]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# errorlogs = pd.read_csv('errlogs-25000-30000.csv') # from 100K to end "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3644"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(errorlogs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    make[4]: flex: Command not found\\nmake[4]: ***...\n",
       "3    drivers/gpu/drm/amd/amdgpu/amdgpu_object.c: In...\n",
       "Name: error_message, dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "errorlogs.loc[3]['error_message']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from enum import Enum, auto\n",
    "class ErrorLog(Enum):\n",
    "    BLACKLIGHT = auto(),\n",
    "    BLACKLIGHT2 = auto(),\n",
    "    CONFIG_NLS_DEFAULT = auto(),\n",
    "    CRC32_CLUSTER = auto(),\n",
    "    V4L2 = auto(), \n",
    "    OVERFLOW2 = auto(), \n",
    "    ULPI = auto(), \n",
    "    PCM = auto(),\n",
    "    TTM = auto(), \n",
    "    AS68K = auto(), \n",
    "    GEN = auto(), \n",
    "    AICDB = auto(), \n",
    "    AIC7XXX = auto(),\n",
    "    DRM_BRIDGE_CLUSTER = auto(),\n",
    "    PINCTRL_CLUSTER = auto(), \n",
    "    BTBCM = auto(),\n",
    "    BPFFANCY = auto(), \n",
    "    DEVM = auto(), \n",
    "    DEVM2 = auto(), \n",
    "    I2C_CLUSTER = auto() \n",
    "    \n",
    "\n",
    "\n",
    "    \n",
    "\n",
    "patterns = { ErrorLog.BLACKLIGHT : \"undefined reference to `backlight_device\",\n",
    "            ErrorLog.BLACKLIGHT2: 'error: ‘intel_backlight_device_register’', # 'intel_backlight_device_register', # cid 87044 does not match BACKLIGHT \n",
    "            ErrorLog.CONFIG_NLS_DEFAULT : \"CONFIG_NLS_DEFAULT\",\n",
    "            ErrorLog.CRC32_CLUSTER : 'undefined reference to `crc32', \n",
    "            ErrorLog.V4L2 : 'undefined reference to `v4l2',\n",
    "            ErrorLog.OVERFLOW2 : '__read_overflow2',\n",
    "            ErrorLog.ULPI : 'undefined reference to `ulpi', # 100-126K dataset\n",
    "            ErrorLog.PCM : 'undefined reference to `atmel_pcm_dma_platform', # 100-126K dataset\n",
    "            ErrorLog.TTM : 'undefined reference to `ttm', \n",
    "            ErrorLog.AS68K: 'as68k: not found',\n",
    "            ErrorLog.GEN : 'undefined reference to `gen_pool', \n",
    "            ErrorLog.AIC7XXX: '[drivers/scsi/aic7xxx/aicasm/aicasm] Error 2', #'drivers/scsi/aic7xxx',\n",
    "            ErrorLog.AICDB : 'aicdb.h: No such file or directory', \n",
    "            ErrorLog.DRM_BRIDGE_CLUSTER : 'undefined reference to `drm_panel_bridge_add', \n",
    "            ErrorLog.PINCTRL_CLUSTER : '[drivers/pinctrl/pinctrl-mcp23s08.o] Error', #'pinctrl-mcp23s08', # loosely pattern (too general?)\n",
    "            ErrorLog.BTBCM : 'undefined reference to `btbcm_set_bdaddr', \n",
    "            ErrorLog.BPFFANCY : 'bpf-fancy', # loosely pattern (too general?)\n",
    "            ErrorLog.DEVM : 'undefined reference to `__devm_regmap',\n",
    "            ErrorLog.I2C_CLUSTER: 'error: implicit declaration of function ‘i2c_get_adapter’', #'i2c_get_adapter',\n",
    "            ErrorLog.DEVM2 : 'undefined reference to `devm_of_led'\n",
    "           }\n",
    "\n",
    "pattern_name = [name for name, member in ErrorLog.__members__.items()]\n",
    "# TODO: instead of having True/False values for each pattern column name, \n",
    "# let's have a single column with cluster(s) values\n",
    "error_pattern = pd.DataFrame(columns=pattern_name, index=errorlogs['cid'])\n",
    "error_pattern.fillna(False, inplace=True)\n",
    "\n",
    "for i, errorlog in errorlogs.iterrows():\n",
    "    error = errorlog['error_message']\n",
    "    cid = errorlog['cid']\n",
    "    for k, p in patterns.items():\n",
    "        if (p in error):\n",
    "            error_pattern.loc[cid][k.name] = True\n",
    "            # TODO: error_pattern.loc[cid]['cluster_error'] = k.name\n",
    "            #print (k.name, \"found in configuration\", cid)\n",
    "            \n",
    "            \n",
    "            \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# same, except we use the first error message (and only it)\n",
    "# it mimics basic Linux build process\n",
    "# see discussion here: https://github.com/TuxML/compilation-analysis/issues/1#issuecomment-488711237\n",
    "\n",
    "pattern_name = [name for name, member in ErrorLog.__members__.items()]\n",
    "error_patternfirst = pd.DataFrame(columns=pattern_name, index=errorlogs['cid'])\n",
    "error_patternfirst.fillna(False, inplace=True)\n",
    "\n",
    "for i, errorlog in errorlogs.iterrows():\n",
    "    error = errorlog['error_message']\n",
    "    cid = errorlog['cid']\n",
    "    #print(cid)\n",
    "    for err in error.splitlines():\n",
    "        found = False\n",
    "        for k, p in patterns.items():\n",
    "            if found:\n",
    "                break\n",
    "            if (p in err):\n",
    "                error_patternfirst.loc[cid][k.name] = True\n",
    "                found = True\n",
    "                #print (k, \"found\")\n",
    "        if found:\n",
    "            break\n",
    "    #for k, p in patterns.items():\n",
    "    #    if (p in error):\n",
    "    #        error_patternfirst.loc[cid][k.name] = True\n",
    "            #print (k.name, \"found in configuration\", cid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BLACKLIGHT</th>\n",
       "      <th>BLACKLIGHT2</th>\n",
       "      <th>CONFIG_NLS_DEFAULT</th>\n",
       "      <th>CRC32_CLUSTER</th>\n",
       "      <th>V4L2</th>\n",
       "      <th>OVERFLOW2</th>\n",
       "      <th>ULPI</th>\n",
       "      <th>PCM</th>\n",
       "      <th>TTM</th>\n",
       "      <th>AS68K</th>\n",
       "      <th>GEN</th>\n",
       "      <th>AICDB</th>\n",
       "      <th>AIC7XXX</th>\n",
       "      <th>DRM_BRIDGE_CLUSTER</th>\n",
       "      <th>PINCTRL_CLUSTER</th>\n",
       "      <th>BTBCM</th>\n",
       "      <th>BPFFANCY</th>\n",
       "      <th>DEVM</th>\n",
       "      <th>DEVM2</th>\n",
       "      <th>I2C_CLUSTER</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cid</th>\n",
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       "    </tr>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>True</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <th>30704</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>30718</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
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       "      <th>30722</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30726</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30730</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>30837</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>30849</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30879</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30886</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30891</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30901</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30904</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30917</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30927</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30959</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30961</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30962</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30964</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30971</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30989</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31012</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31025</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118808</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118947</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119021</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119060</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119109</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119590</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119806</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119828</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120205</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120411</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120603</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121270</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121405</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122676</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123103</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123346</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123348</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123387</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123536</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124344</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124690</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124965</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125121</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125230</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125374</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125567</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125969</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126432</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126652</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126719</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3644 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        BLACKLIGHT  BLACKLIGHT2  CONFIG_NLS_DEFAULT  CRC32_CLUSTER   V4L2  \\\n",
       "cid                                                                         \n",
       "30699        False        False               False          False  False   \n",
       "30700        False        False               False          False  False   \n",
       "30704        False        False               False          False  False   \n",
       "30717        False        False               False          False  False   \n",
       "30718        False        False               False          False  False   \n",
       "30722        False        False               False          False  False   \n",
       "30726        False        False               False          False  False   \n",
       "30730        False        False               False          False  False   \n",
       "30731        False        False               False          False  False   \n",
       "30737        False        False               False          False  False   \n",
       "30806        False        False               False          False  False   \n",
       "30811        False        False               False          False  False   \n",
       "30821        False        False               False          False  False   \n",
       "30837        False        False               False          False  False   \n",
       "30849        False        False               False          False  False   \n",
       "30879        False        False               False          False  False   \n",
       "30886        False        False               False          False  False   \n",
       "30891        False        False               False          False  False   \n",
       "30901        False        False               False          False  False   \n",
       "30904        False        False               False          False  False   \n",
       "30917        False        False               False          False  False   \n",
       "30927        False        False               False          False  False   \n",
       "30959        False        False               False          False  False   \n",
       "30961        False        False               False          False  False   \n",
       "30962        False        False               False          False  False   \n",
       "30964        False        False               False          False  False   \n",
       "30971        False        False               False          False  False   \n",
       "30989        False        False               False          False  False   \n",
       "31012        False        False               False          False  False   \n",
       "31025        False        False               False          False  False   \n",
       "...            ...          ...                 ...            ...    ...   \n",
       "118808       False        False               False          False  False   \n",
       "118947       False        False               False          False  False   \n",
       "119021       False        False               False          False   True   \n",
       "119060       False        False               False          False   True   \n",
       "119109       False        False               False          False  False   \n",
       "119590       False        False               False          False  False   \n",
       "119806       False        False               False          False  False   \n",
       "119828       False        False               False          False  False   \n",
       "120205       False        False               False          False  False   \n",
       "120411       False        False               False          False  False   \n",
       "120603       False        False               False          False  False   \n",
       "121270       False        False               False          False  False   \n",
       "121405       False        False                True          False  False   \n",
       "122676       False        False               False          False   True   \n",
       "123103       False        False               False          False  False   \n",
       "123346       False        False               False          False  False   \n",
       "123348       False        False               False          False  False   \n",
       "123387       False        False               False          False  False   \n",
       "123536       False        False               False          False  False   \n",
       "124344       False        False               False          False  False   \n",
       "124690       False        False               False          False  False   \n",
       "124965       False        False               False          False   True   \n",
       "125121       False        False               False          False  False   \n",
       "125230       False        False               False          False  False   \n",
       "125374       False        False               False          False  False   \n",
       "125567       False        False               False          False  False   \n",
       "125969       False        False               False          False  False   \n",
       "126432       False        False               False          False  False   \n",
       "126652        True        False               False          False  False   \n",
       "126719       False        False               False          False  False   \n",
       "\n",
       "        OVERFLOW2   ULPI    PCM    TTM  AS68K    GEN  AICDB  AIC7XXX  \\\n",
       "cid                                                                    \n",
       "30699       False  False  False  False   True  False  False    False   \n",
       "30700       False  False  False  False   True  False  False    False   \n",
       "30704       False  False  False  False  False  False  False     True   \n",
       "30717       False  False  False  False  False  False  False     True   \n",
       "30718       False  False  False  False  False  False  False     True   \n",
       "30722       False  False  False  False  False  False  False     True   \n",
       "30726       False  False  False  False  False  False  False     True   \n",
       "30730        True  False  False  False  False  False  False    False   \n",
       "30731       False  False  False  False  False  False  False     True   \n",
       "30737       False  False  False  False  False  False  False     True   \n",
       "30806       False  False  False  False  False  False  False     True   \n",
       "30811       False  False  False  False  False  False  False     True   \n",
       "30821       False  False  False  False  False   True  False    False   \n",
       "30837        True  False  False  False  False  False  False    False   \n",
       "30849       False  False  False  False  False  False  False     True   \n",
       "30879       False  False  False  False  False  False  False     True   \n",
       "30886       False  False  False  False  False  False  False     True   \n",
       "30891       False  False  False  False  False  False  False     True   \n",
       "30901       False  False  False  False  False  False  False     True   \n",
       "30904       False  False  False  False  False  False  False     True   \n",
       "30917       False  False  False  False  False  False  False     True   \n",
       "30927       False  False  False  False  False  False  False     True   \n",
       "30959       False  False  False  False  False  False  False     True   \n",
       "30961       False  False  False  False   True  False  False    False   \n",
       "30962       False  False  False  False   True  False  False    False   \n",
       "30964       False  False  False  False  False  False  False     True   \n",
       "30971       False  False  False  False  False  False  False     True   \n",
       "30989       False  False  False  False   True  False  False    False   \n",
       "31012       False  False  False  False  False  False  False     True   \n",
       "31025       False  False  False  False   True  False  False    False   \n",
       "...           ...    ...    ...    ...    ...    ...    ...      ...   \n",
       "118808      False  False  False  False  False   True  False    False   \n",
       "118947      False  False  False  False  False   True  False    False   \n",
       "119021      False  False  False  False  False  False  False    False   \n",
       "119060      False  False  False  False  False  False  False    False   \n",
       "119109      False  False  False  False  False   True  False    False   \n",
       "119590      False  False  False  False  False   True  False    False   \n",
       "119806      False  False  False  False  False   True  False    False   \n",
       "119828      False  False  False  False  False   True  False    False   \n",
       "120205      False  False  False  False  False   True  False    False   \n",
       "120411      False  False  False  False  False   True  False    False   \n",
       "120603      False  False  False  False  False   True  False    False   \n",
       "121270      False  False  False  False  False   True  False    False   \n",
       "121405      False  False  False  False  False  False  False    False   \n",
       "122676      False  False  False  False  False  False  False    False   \n",
       "123103      False  False  False  False  False   True  False    False   \n",
       "123346      False  False  False  False  False   True  False    False   \n",
       "123348      False  False  False  False  False   True  False    False   \n",
       "123387      False  False  False  False  False   True  False    False   \n",
       "123536      False  False  False  False  False   True  False    False   \n",
       "124344      False  False  False  False  False   True  False    False   \n",
       "124690      False  False  False  False  False   True  False    False   \n",
       "124965      False  False  False  False  False  False  False    False   \n",
       "125121      False  False  False  False  False   True  False    False   \n",
       "125230      False  False  False  False  False   True  False    False   \n",
       "125374      False  False  False  False  False   True  False    False   \n",
       "125567      False  False  False  False  False   True  False    False   \n",
       "125969      False  False  False  False  False   True  False    False   \n",
       "126432      False  False  False  False  False   True  False    False   \n",
       "126652      False  False  False  False  False  False  False    False   \n",
       "126719      False  False  False  False   True  False  False    False   \n",
       "\n",
       "        DRM_BRIDGE_CLUSTER  PINCTRL_CLUSTER  BTBCM  BPFFANCY   DEVM  DEVM2  \\\n",
       "cid                                                                          \n",
       "30699                False            False  False     False  False  False   \n",
       "30700                False            False  False     False  False  False   \n",
       "30704                False            False  False     False  False  False   \n",
       "30717                False            False  False     False  False  False   \n",
       "30718                False            False  False     False  False  False   \n",
       "30722                False            False  False     False  False  False   \n",
       "30726                False            False  False     False  False  False   \n",
       "30730                False            False  False     False  False  False   \n",
       "30731                False            False  False     False  False  False   \n",
       "30737                False            False  False     False  False  False   \n",
       "30806                False            False  False     False  False  False   \n",
       "30811                False            False  False     False  False  False   \n",
       "30821                False            False  False     False  False  False   \n",
       "30837                False            False  False     False  False  False   \n",
       "30849                False            False  False     False  False  False   \n",
       "30879                False            False  False     False  False  False   \n",
       "30886                False            False  False     False  False  False   \n",
       "30891                False            False  False     False  False  False   \n",
       "30901                False            False  False     False  False  False   \n",
       "30904                False            False  False     False  False  False   \n",
       "30917                False            False  False     False  False  False   \n",
       "30927                False            False  False     False  False  False   \n",
       "30959                False            False  False     False  False  False   \n",
       "30961                False            False  False     False  False  False   \n",
       "30962                False            False  False     False  False  False   \n",
       "30964                False            False  False     False  False  False   \n",
       "30971                False            False  False     False  False  False   \n",
       "30989                False            False  False     False  False  False   \n",
       "31012                False            False  False     False  False  False   \n",
       "31025                False            False  False     False  False  False   \n",
       "...                    ...              ...    ...       ...    ...    ...   \n",
       "118808               False            False  False     False  False  False   \n",
       "118947               False            False  False     False  False  False   \n",
       "119021               False            False  False     False  False  False   \n",
       "119060               False            False  False     False  False  False   \n",
       "119109               False            False  False     False  False  False   \n",
       "119590               False            False  False     False  False  False   \n",
       "119806               False            False  False     False  False  False   \n",
       "119828               False            False  False     False  False  False   \n",
       "120205               False            False  False     False  False  False   \n",
       "120411               False            False  False     False  False  False   \n",
       "120603               False            False  False     False  False  False   \n",
       "121270               False            False  False     False  False  False   \n",
       "121405               False            False  False     False  False  False   \n",
       "122676               False            False  False     False  False  False   \n",
       "123103               False            False  False     False  False  False   \n",
       "123346               False            False  False     False  False  False   \n",
       "123348               False            False  False     False  False  False   \n",
       "123387               False            False  False     False  False  False   \n",
       "123536               False            False  False     False  False  False   \n",
       "124344               False            False  False     False  False  False   \n",
       "124690               False            False  False     False  False  False   \n",
       "124965               False            False  False     False  False  False   \n",
       "125121               False            False  False     False  False  False   \n",
       "125230               False            False  False     False  False  False   \n",
       "125374               False            False  False     False  False  False   \n",
       "125567               False            False  False     False  False  False   \n",
       "125969               False            False  False     False  False  False   \n",
       "126432               False            False  False     False  False  False   \n",
       "126652               False            False  False     False  False  False   \n",
       "126719               False            False  False     False  False  False   \n",
       "\n",
       "        I2C_CLUSTER  \n",
       "cid                  \n",
       "30699         False  \n",
       "30700         False  \n",
       "30704         False  \n",
       "30717         False  \n",
       "30718         False  \n",
       "30722         False  \n",
       "30726         False  \n",
       "30730         False  \n",
       "30731         False  \n",
       "30737         False  \n",
       "30806         False  \n",
       "30811         False  \n",
       "30821         False  \n",
       "30837         False  \n",
       "30849         False  \n",
       "30879         False  \n",
       "30886         False  \n",
       "30891         False  \n",
       "30901         False  \n",
       "30904         False  \n",
       "30917         False  \n",
       "30927         False  \n",
       "30959         False  \n",
       "30961         False  \n",
       "30962         False  \n",
       "30964         False  \n",
       "30971         False  \n",
       "30989         False  \n",
       "31012         False  \n",
       "31025         False  \n",
       "...             ...  \n",
       "118808        False  \n",
       "118947        False  \n",
       "119021        False  \n",
       "119060        False  \n",
       "119109        False  \n",
       "119590        False  \n",
       "119806        False  \n",
       "119828        False  \n",
       "120205        False  \n",
       "120411        False  \n",
       "120603        False  \n",
       "121270        False  \n",
       "121405        False  \n",
       "122676        False  \n",
       "123103        False  \n",
       "123346        False  \n",
       "123348        False  \n",
       "123387        False  \n",
       "123536        False  \n",
       "124344        False  \n",
       "124690        False  \n",
       "124965        False  \n",
       "125121        False  \n",
       "125230        False  \n",
       "125374        False  \n",
       "125567        False  \n",
       "125969        False  \n",
       "126432        False  \n",
       "126652        False  \n",
       "126719        False  \n",
       "\n",
       "[3644 rows x 20 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_patternfirst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    3638\n",
       "True        6\n",
       "Name: CONFIG_NLS_DEFAULT, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#error_pattern.loc[99949]['BLACKLIGHT'] = True\n",
    "error_pattern['CONFIG_NLS_DEFAULT'].value_counts()\n",
    "#error_pattern.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BLACKLIGHT              15\n",
       "BLACKLIGHT2              1\n",
       "CONFIG_NLS_DEFAULT       6\n",
       "CRC32_CLUSTER            2\n",
       "V4L2                    19\n",
       "OVERFLOW2               86\n",
       "ULPI                     1\n",
       "PCM                      1\n",
       "TTM                     13\n",
       "AS68K                  551\n",
       "GEN                    371\n",
       "AICDB                 2514\n",
       "AIC7XXX               2681\n",
       "DRM_BRIDGE_CLUSTER       3\n",
       "PINCTRL_CLUSTER          3\n",
       "BTBCM                    2\n",
       "BPFFANCY                 2\n",
       "DEVM                     2\n",
       "DEVM2                    1\n",
       "I2C_CLUSTER              1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "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 matplotlib.pyplot as plt\n",
    "%matplotlib inline  \n",
    "\n",
    "def nb_patterns(row):\n",
    "    return sum(row == True)                    \n",
    "error_pattern['nb_patterns'] = error_pattern.apply(nb_patterns, axis=1)\n",
    "pattern_frequencies = error_pattern[pattern_name].apply(nb_patterns, axis=0)\n",
    "pattern_frequencies.plot(kind='bar')\n",
    "pattern_frequencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BLACKLIGHT              15\n",
       "BLACKLIGHT2              1\n",
       "CONFIG_NLS_DEFAULT       6\n",
       "CRC32_CLUSTER            2\n",
       "V4L2                    19\n",
       "OVERFLOW2               86\n",
       "ULPI                     1\n",
       "PCM                      1\n",
       "TTM                     13\n",
       "AS68K                  479\n",
       "GEN                    369\n",
       "AICDB                 2476\n",
       "AIC7XXX                162\n",
       "DRM_BRIDGE_CLUSTER       3\n",
       "PINCTRL_CLUSTER          3\n",
       "BTBCM                    2\n",
       "BPFFANCY                 2\n",
       "DEVM                     2\n",
       "DEVM2                    1\n",
       "I2C_CLUSTER              1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "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 numpy as np \n",
    "# error_patternfirst['nb_patterns'] = error_patternfirst.apply(nb_patterns, axis=1)\n",
    "patternfirst_frequencies = error_patternfirst[pattern_name].apply(nb_patterns, axis=0)\n",
    "patternfirst_frequencies.plot(kind='bar')\n",
    "patternfirst_frequencies\n",
    "# np.unique(error_patternfirst['nb_patterns'].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# 'cluster', \n",
    "\n",
    "#patternfirst_frequencies\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3644"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(dfclusterfrequencies['nb_failures'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2a16f3c88>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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npu0yg7q6yrra05e6HF+zbk7WteozM6rrra106nUA7AGWNj0/vrT9WmZuAjbNxsYi4oHMHJqNdc0m62qPdbXHutpTc129vgR0P7AiIpZHxJHAWmBrj2uQJNHjM4DMPBgRlwDbgXnA5sx8pJc1SJIaen4PIDO3Adt6tLlZuZTUBdbVHutqj3W1p9q6IjO7vQ1J0hzkV0FIUqVekwEQEZsjYl9EPDzJ/IiIa8vXTTwUESc3zVsXEU+Ux7oe13VeqWdXRHw/It7RNG93aX8wIh7ocV3DEXGgbPvBiPh007yufXVHC3X9dVNND0fEKxFxXJnXzeO1NCLuiohHI+KRiPj4BH16OsZarKlf46uV2no+xlqsq+djLCLeGBH3RcQPS11/O0GfoyLiG+WY3BsRy5rmXVraH4+Is2ZUTGa+5h7AHwInAw9PMv8c4A4ggNOBe0v7ccCT5efCMr2wh3W9+9D2aHwdxr1N83YDi/p0vIaB2ydonwf8GHgbcCTwQ2Blr+o6rO/7gX/t0fFaDJxcpo8BfnT4fvd6jLVYU7/GVyu19XyMtVJXP8ZYGTMDZfoI4F7g9MP6/BnwlTK9FvhGmV5ZjtFRwPJy7OZ1Wstr8gwgM+8G9k/RZQ1wQzbcAyyIiMXAWcCOzNyfmc8BO4DVvaorM79ftgtwD43PQXRdC8drMl396o426zoXuHm2tj2VzNybmT8o078EHuO3P7He0zHWSk19HF+tHK/JdG2MdVBXT8ZYGTPj5ekR5XH4zdg1wJYy/c/AGRERpX0kM1/OzKeAMRrHsCOvyQBowWRfOTGXvoriIhp/QR6SwHcjYmc0Pg3da+8qp6R3RMQJpW1OHK+I+B0aL6LfbGruyfEqp97vpPFXWrO+jbEpamrWl/E1TW19G2PTHbNej7GImBcRDwL7aPzBMOn4ysyDwAHgd5nl4zXnvgqiBhGxisYv6Hubmt+bmXsi4i3Ajoj4z/IXci/8AHhrZo5HxDnAvwArerTtVrwf+I/MbD5b6PrxiogBGi8In8jM52dz3Z1qpaZ+ja9pauvbGGvx37GnYywzXwFOiogFwK0R8fbMnPBeWDe9Xs8AJvvKiWm/iqLbIuIPgK8CazLzF4faM3NP+bkPuJUZnNa1KzOfP3RKmo3PaRwREYuYA8erWMthp+bdPl4RcQSNF40bM/NbE3Tp+Rhroaa+ja/pauvXGGvlmBU9H2Nl3f8D3MVvXyb89XGJiPnAscAvmO3jNds3OHr1AJYx+U3N9/HqG3T3lfbjgKdo3JxbWKaP62Fdv0/jmt27D2s/Gjimafr7wOoe1vV7/OYzIacCPy3Hbj6Nm5jL+c0NuhN6VVeZfyyN+wRH9+p4lX2/AfjcFH16OsZarKkv46vF2no+xlqpqx9jDHgzsKBMvwn4d+CPDutzMa++CXxLmT6BV98EfpIZ3AR+TV4CioibabyrYFFEPANspHEjhcz8Co1PGp9D45fhReDCMm9/RFxJ4zuJAK7IV5/ydbuuT9O4jvelxv0cDmbjy54GaZwGQuMX4qbM/E4P6/pj4E8j4iDwErA2G6Otq1/d0UJdAB8EvpuZLzQt2tXjBbwHOB/YVa7TAlxG4wW2X2OslZr6Mr5arK0fY6yVuqD3Y2wxsCUa/0HWG2i8uN8eEVcAD2TmVuB64J8iYoxGOK0tNT8SEbcAjwIHgYuzcTmpI34SWJIq9Xq9ByBJmoYBIEmVMgAkqVIGgCRVygCQpEoZAJJUKQNAkiplAEhSpf4fTQPspt90MacAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "error_pattern['nb_patterns'].hist()\n",
    "error_pattern.query(\"AIC7XXX == False\")['nb_patterns'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>BLACKLIGHT</th>\n",
       "      <th>BLACKLIGHT2</th>\n",
       "      <th>CONFIG_NLS_DEFAULT</th>\n",
       "      <th>CRC32_CLUSTER</th>\n",
       "      <th>V4L2</th>\n",
       "      <th>OVERFLOW2</th>\n",
       "      <th>ULPI</th>\n",
       "      <th>PCM</th>\n",
       "      <th>TTM</th>\n",
       "      <th>AS68K</th>\n",
       "      <th>...</th>\n",
       "      <th>AICDB</th>\n",
       "      <th>AIC7XXX</th>\n",
       "      <th>DRM_BRIDGE_CLUSTER</th>\n",
       "      <th>PINCTRL_CLUSTER</th>\n",
       "      <th>BTBCM</th>\n",
       "      <th>BPFFANCY</th>\n",
       "      <th>DEVM</th>\n",
       "      <th>DEVM2</th>\n",
       "      <th>I2C_CLUSTER</th>\n",
       "      <th>nb_patterns</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cid</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",
       "      <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>83619</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51532</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73258</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40041</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45350</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86309</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77193</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39669</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84325</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61148</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67022</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72724</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72676</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77339</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72482</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77373</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60569</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57646</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34546</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56765</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       BLACKLIGHT  BLACKLIGHT2  CONFIG_NLS_DEFAULT  CRC32_CLUSTER   V4L2  \\\n",
       "cid                                                                        \n",
       "83619       False        False               False          False  False   \n",
       "51532       False        False               False          False  False   \n",
       "73258       False        False               False          False  False   \n",
       "40041       False        False               False          False  False   \n",
       "45350       False        False               False          False  False   \n",
       "86309       False        False               False          False  False   \n",
       "77193       False        False               False          False  False   \n",
       "39669       False        False               False          False  False   \n",
       "84325       False        False               False          False  False   \n",
       "61148       False        False               False          False  False   \n",
       "67022       False        False               False          False  False   \n",
       "72724       False        False               False          False  False   \n",
       "72676       False        False               False          False  False   \n",
       "77339       False        False               False          False  False   \n",
       "72482       False        False               False          False  False   \n",
       "77373       False        False               False          False  False   \n",
       "60569       False        False               False          False  False   \n",
       "57646       False        False               False          False  False   \n",
       "34546       False        False               False          False  False   \n",
       "56765       False        False               False          False  False   \n",
       "\n",
       "       OVERFLOW2   ULPI    PCM    TTM  AS68K     ...       AICDB  AIC7XXX  \\\n",
       "cid                                              ...                        \n",
       "83619      False  False  False  False   True     ...        True     True   \n",
       "51532      False  False  False  False   True     ...        True     True   \n",
       "73258      False  False  False  False   True     ...        True     True   \n",
       "40041      False  False  False  False   True     ...        True     True   \n",
       "45350      False  False  False  False   True     ...        True     True   \n",
       "86309      False  False  False  False   True     ...        True     True   \n",
       "77193      False  False  False  False   True     ...        True     True   \n",
       "39669      False  False  False  False   True     ...        True     True   \n",
       "84325      False  False  False  False   True     ...        True     True   \n",
       "61148      False  False  False  False   True     ...        True     True   \n",
       "67022      False  False  False  False   True     ...        True     True   \n",
       "72724      False  False  False  False   True     ...        True     True   \n",
       "72676      False  False  False  False   True     ...        True     True   \n",
       "77339      False  False  False  False   True     ...        True     True   \n",
       "72482      False  False  False  False   True     ...        True     True   \n",
       "77373      False  False  False  False   True     ...        True     True   \n",
       "60569      False  False  False  False   True     ...        True     True   \n",
       "57646      False  False  False  False   True     ...        True     True   \n",
       "34546      False  False  False  False   True     ...        True     True   \n",
       "56765      False  False  False  False   True     ...        True     True   \n",
       "\n",
       "       DRM_BRIDGE_CLUSTER  PINCTRL_CLUSTER  BTBCM  BPFFANCY   DEVM  DEVM2  \\\n",
       "cid                                                                         \n",
       "83619               False            False  False     False  False  False   \n",
       "51532               False            False  False     False  False  False   \n",
       "73258               False            False  False     False  False  False   \n",
       "40041               False            False  False     False  False  False   \n",
       "45350               False            False  False     False  False  False   \n",
       "86309               False            False  False     False  False  False   \n",
       "77193               False            False  False     False  False  False   \n",
       "39669               False            False  False     False  False  False   \n",
       "84325               False            False  False     False  False  False   \n",
       "61148               False            False  False     False  False  False   \n",
       "67022               False            False  False     False  False  False   \n",
       "72724               False            False  False     False  False  False   \n",
       "72676               False            False  False     False  False  False   \n",
       "77339               False            False  False     False  False  False   \n",
       "72482               False            False  False     False  False  False   \n",
       "77373               False            False  False     False  False  False   \n",
       "60569               False            False  False     False  False  False   \n",
       "57646               False            False  False     False  False  False   \n",
       "34546               False            False  False     False  False  False   \n",
       "56765               False            False  False     False  False  False   \n",
       "\n",
       "       I2C_CLUSTER  nb_patterns  \n",
       "cid                              \n",
       "83619        False            3  \n",
       "51532        False            3  \n",
       "73258        False            3  \n",
       "40041        False            3  \n",
       "45350        False            3  \n",
       "86309        False            3  \n",
       "77193        False            3  \n",
       "39669        False            3  \n",
       "84325        False            3  \n",
       "61148        False            3  \n",
       "67022        False            3  \n",
       "72724        False            3  \n",
       "72676        False            3  \n",
       "77339        False            3  \n",
       "72482        False            3  \n",
       "77373        False            3  \n",
       "60569        False            3  \n",
       "57646        False            3  \n",
       "34546        False            3  \n",
       "56765        False            3  \n",
       "\n",
       "[20 rows x 21 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_pattern.sort_values(by='nb_patterns', ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>BLACKLIGHT</th>\n",
       "      <th>BLACKLIGHT2</th>\n",
       "      <th>CONFIG_NLS_DEFAULT</th>\n",
       "      <th>CRC32_CLUSTER</th>\n",
       "      <th>V4L2</th>\n",
       "      <th>OVERFLOW2</th>\n",
       "      <th>ULPI</th>\n",
       "      <th>PCM</th>\n",
       "      <th>TTM</th>\n",
       "      <th>AS68K</th>\n",
       "      <th>...</th>\n",
       "      <th>AICDB</th>\n",
       "      <th>AIC7XXX</th>\n",
       "      <th>DRM_BRIDGE_CLUSTER</th>\n",
       "      <th>PINCTRL_CLUSTER</th>\n",
       "      <th>BTBCM</th>\n",
       "      <th>BPFFANCY</th>\n",
       "      <th>DEVM</th>\n",
       "      <th>DEVM2</th>\n",
       "      <th>I2C_CLUSTER</th>\n",
       "      <th>nb_patterns</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cid</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",
       "      <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",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [BLACKLIGHT, BLACKLIGHT2, CONFIG_NLS_DEFAULT, CRC32_CLUSTER, V4L2, OVERFLOW2, ULPI, PCM, TTM, AS68K, GEN, AICDB, AIC7XXX, DRM_BRIDGE_CLUSTER, PINCTRL_CLUSTER, BTBCM, BPFFANCY, DEVM, DEVM2, I2C_CLUSTER, nb_patterns]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 21 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#error_pattern['CONFIG_NLS_DEFAULT'].value_counts().plot(kind='bar')\n",
    "error_pattern.query('nb_patterns == 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 21)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_pattern.query('nb_patterns == 0').shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "for cid in error_pattern.query('nb_patterns == 0').index:\n",
    "    print (\"configuration cid\", cid)\n",
    "    #if cid in suspicious_cids:\n",
    "    #    print(\"false positive failure\")\n",
    "    #    continue\n",
    "    \n",
    "    error_message = errorlogs.query(\"cid == \" + str(cid))['error_message'].values\n",
    "    for err in error_message[0].splitlines():\n",
    "        if \"Cyclomatic\" not in err:\n",
    "            print (err)\n",
    "    print()\n",
    "    print()\n",
    "    print()\n",
    "    \n",
    "# 74459, 74460, 74461, 74463, 74464"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "Empty DataFrame\n",
       "Columns: [BLACKLIGHT, BLACKLIGHT2, CONFIG_NLS_DEFAULT, CRC32_CLUSTER, V4L2, OVERFLOW2, ULPI, PCM, TTM, AS68K, GEN, AICDB, AIC7XXX, DRM_BRIDGE_CLUSTER, PINCTRL_CLUSTER, BTBCM, BPFFANCY, DEVM, DEVM2, I2C_CLUSTER, nb_patterns]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 21 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_pattern.query('nb_patterns >= 2 & (AS68K == True & AIC7XXX == False)').sort_values(by='nb_patterns', ascending=False)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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       "Empty DataFrame\n",
       "Columns: [BLACKLIGHT, BLACKLIGHT2, CONFIG_NLS_DEFAULT, CRC32_CLUSTER, V4L2, OVERFLOW2, ULPI, PCM, TTM, AS68K, GEN, AICDB, AIC7XXX, DRM_BRIDGE_CLUSTER, PINCTRL_CLUSTER, BTBCM, BPFFANCY, DEVM, DEVM2, I2C_CLUSTER, nb_patterns]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 21 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_pattern.query('nb_patterns >= 2 & (AS68K == False & AIC7XXX == False & AICDB == True)').sort_values(by='nb_patterns', ascending=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [BLACKLIGHT, BLACKLIGHT2, CONFIG_NLS_DEFAULT, CRC32_CLUSTER, V4L2, OVERFLOW2, ULPI, PCM, TTM, AS68K, GEN, AICDB, AIC7XXX, DRM_BRIDGE_CLUSTER, PINCTRL_CLUSTER, BTBCM, BPFFANCY, DEVM, DEVM2, I2C_CLUSTER, nb_patterns]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 21 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "#error_pattern.query('nb_patterns == 2 & (as68k == False & AIC7XXX == True)').sort_values(by='nb_patterns', ascending=False)\n",
    "error_pattern.query('nb_patterns >= 2 & (AS68K == False & AICDB == False & AIC7XXX == True)').sort_values(by='nb_patterns', ascending=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
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       "</table>\n",
       "<p>2 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       BLACKLIGHT  BLACKLIGHT2  CONFIG_NLS_DEFAULT  CRC32_CLUSTER   V4L2  \\\n",
       "cid                                                                        \n",
       "60939       False        False               False          False  False   \n",
       "78770       False        False               False          False  False   \n",
       "\n",
       "       OVERFLOW2   ULPI    PCM   TTM  AS68K     ...       AICDB  AIC7XXX  \\\n",
       "cid                                             ...                        \n",
       "60939      False  False  False  True  False     ...       False    False   \n",
       "78770      False  False  False  True  False     ...       False    False   \n",
       "\n",
       "       DRM_BRIDGE_CLUSTER  PINCTRL_CLUSTER  BTBCM  BPFFANCY   DEVM  DEVM2  \\\n",
       "cid                                                                         \n",
       "60939               False            False  False     False  False  False   \n",
       "78770               False            False  False     False  False  False   \n",
       "\n",
       "       I2C_CLUSTER  nb_patterns  \n",
       "cid                              \n",
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       "\n",
       "[2 rows x 21 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_pattern.query('nb_patterns >= 2 & (AS68K == False & AIC7XXX == False)').sort_values(by='nb_patterns', ascending=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99949</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>121405</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        BLACKLIGHT  BLACKLIGHT2  CONFIG_NLS_DEFAULT  CRC32_CLUSTER   V4L2  \\\n",
       "cid                                                                         \n",
       "44596        False        False                True          False  False   \n",
       "52277        False        False                True          False  False   \n",
       "60391        False        False                True          False  False   \n",
       "62743        False        False                True          False  False   \n",
       "99949        False        False                True          False  False   \n",
       "121405       False        False                True          False  False   \n",
       "\n",
       "        OVERFLOW2   ULPI    PCM    TTM  AS68K     ...       AICDB  AIC7XXX  \\\n",
       "cid                                               ...                        \n",
       "44596       False  False  False  False  False     ...       False    False   \n",
       "52277       False  False  False  False  False     ...       False    False   \n",
       "60391       False  False  False  False  False     ...       False    False   \n",
       "62743       False  False  False  False  False     ...       False    False   \n",
       "99949       False  False  False  False  False     ...       False    False   \n",
       "121405      False  False  False  False  False     ...       False    False   \n",
       "\n",
       "        DRM_BRIDGE_CLUSTER  PINCTRL_CLUSTER  BTBCM  BPFFANCY   DEVM  DEVM2  \\\n",
       "cid                                                                          \n",
       "44596                False            False  False     False  False  False   \n",
       "52277                False            False  False     False  False  False   \n",
       "60391                False            False  False     False  False  False   \n",
       "62743                False            False  False     False  False  False   \n",
       "99949                False            False  False     False  False  False   \n",
       "121405               False            False  False     False  False  False   \n",
       "\n",
       "        I2C_CLUSTER  nb_patterns  \n",
       "cid                               \n",
       "44596         False            1  \n",
       "52277         False            1  \n",
       "60391         False            1  \n",
       "62743         False            1  \n",
       "99949         False            1  \n",
       "121405        False            1  \n",
       "\n",
       "[6 rows x 21 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# masking effect\n",
    "error_pattern.query('nb_patterns >= 2 & CONFIG_NLS_DEFAULT == True').sort_values(by='nb_patterns', ascending=False)\n",
    "error_pattern.query('CONFIG_NLS_DEFAULT == True').sort_values(by='nb_patterns', ascending=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>BLACKLIGHT</th>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65543</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65140</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64884</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64564</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>64179</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63967</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63879</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63677</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63365</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63112</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62809</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62501</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62070</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61990</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61856</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61696</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61649</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61556</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126432</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>371 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        BLACKLIGHT  BLACKLIGHT2  CONFIG_NLS_DEFAULT  CRC32_CLUSTER   V4L2  \\\n",
       "cid                                                                         \n",
       "60939        False        False               False          False  False   \n",
       "78770        False        False               False          False  False   \n",
       "91189        False        False               False          False  False   \n",
       "93969        False        False               False          False  False   \n",
       "93724        False        False               False          False  False   \n",
       "93416        False        False               False          False  False   \n",
       "93271        False        False               False          False  False   \n",
       "92838        False        False               False          False  False   \n",
       "92120        False        False               False          False  False   \n",
       "91742        False        False               False          False  False   \n",
       "91633        False        False               False          False  False   \n",
       "91291        False        False               False          False  False   \n",
       "91054        False        False               False          False  False   \n",
       "94536        False        False               False          False  False   \n",
       "90975        False        False               False          False  False   \n",
       "90710        False        False               False          False  False   \n",
       "90506        False        False               False          False  False   \n",
       "89757        False        False               False          False  False   \n",
       "89701        False        False               False          False  False   \n",
       "89577        False        False               False          False  False   \n",
       "88748        False        False               False          False  False   \n",
       "88252        False        False               False          False  False   \n",
       "88140        False        False               False          False  False   \n",
       "94391        False        False               False          False  False   \n",
       "30821        False        False               False          False  False   \n",
       "87566        False        False               False          False  False   \n",
       "95092        False        False               False          False  False   \n",
       "99203        False        False               False          False  False   \n",
       "98920        False        False               False          False  False   \n",
       "98902        False        False               False          False  False   \n",
       "...            ...          ...                 ...            ...    ...   \n",
       "58039        False        False               False          False  False   \n",
       "57953        False        False               False          False  False   \n",
       "57837        False        False               False          False  False   \n",
       "57479        False        False               False          False  False   \n",
       "57388        False        False               False          False  False   \n",
       "57008        False        False               False          False  False   \n",
       "60735        False        False               False          False  False   \n",
       "61238        False        False               False          False  False   \n",
       "66445        False        False               False          False  False   \n",
       "61554        False        False               False          False  False   \n",
       "65748        False        False               False          False  False   \n",
       "65543        False        False               False          False  False   \n",
       "65140        False        False               False          False  False   \n",
       "64884        False        False               False          False  False   \n",
       "64564        False        False               False          False  False   \n",
       "64179        False        False               False          False  False   \n",
       "63967        False        False               False          False  False   \n",
       "63879        False        False               False          False  False   \n",
       "63677        False        False               False          False  False   \n",
       "63365        False        False               False          False  False   \n",
       "63112        False        False               False          False  False   \n",
       "62809        False        False               False          False  False   \n",
       "62501        False        False               False          False  False   \n",
       "62070        False        False               False          False  False   \n",
       "61990        False        False               False          False  False   \n",
       "61856        False        False               False          False  False   \n",
       "61696        False        False               False          False  False   \n",
       "61649        False        False               False          False  False   \n",
       "61556        False        False               False          False  False   \n",
       "126432       False        False               False          False  False   \n",
       "\n",
       "        OVERFLOW2   ULPI    PCM    TTM  AS68K     ...       AICDB  AIC7XXX  \\\n",
       "cid                                               ...                        \n",
       "60939       False  False  False   True  False     ...       False    False   \n",
       "78770       False  False  False   True  False     ...       False    False   \n",
       "91189       False  False  False  False  False     ...       False    False   \n",
       "93969       False  False  False  False  False     ...       False    False   \n",
       "93724       False  False  False  False  False     ...       False    False   \n",
       "93416       False  False  False  False  False     ...       False    False   \n",
       "93271       False  False  False  False  False     ...       False    False   \n",
       "92838       False  False  False  False  False     ...       False    False   \n",
       "92120       False  False  False  False  False     ...       False    False   \n",
       "91742       False  False  False  False  False     ...       False    False   \n",
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       "...           ...    ...    ...    ...    ...     ...         ...      ...   \n",
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       "61556       False  False  False  False  False     ...       False    False   \n",
       "126432      False  False  False  False  False     ...       False    False   \n",
       "\n",
       "        DRM_BRIDGE_CLUSTER  PINCTRL_CLUSTER  BTBCM  BPFFANCY   DEVM  DEVM2  \\\n",
       "cid                                                                          \n",
       "60939                False            False  False     False  False  False   \n",
       "78770                False            False  False     False  False  False   \n",
       "91189                False            False  False     False  False  False   \n",
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       "89577                False            False  False     False  False  False   \n",
       "88748                False            False  False     False  False  False   \n",
       "88252                False            False  False     False  False  False   \n",
       "88140                False            False  False     False  False  False   \n",
       "94391                False            False  False     False  False  False   \n",
       "30821                False            False  False     False  False  False   \n",
       "87566                False            False  False     False  False  False   \n",
       "95092                False            False  False     False  False  False   \n",
       "99203                False            False  False     False  False  False   \n",
       "98920                False            False  False     False  False  False   \n",
       "98902                False            False  False     False  False  False   \n",
       "...                    ...              ...    ...       ...    ...    ...   \n",
       "58039                False            False  False     False  False  False   \n",
       "57953                False            False  False     False  False  False   \n",
       "57837                False            False  False     False  False  False   \n",
       "57479                False            False  False     False  False  False   \n",
       "57388                False            False  False     False  False  False   \n",
       "57008                False            False  False     False  False  False   \n",
       "60735                False            False  False     False  False  False   \n",
       "61238                False            False  False     False  False  False   \n",
       "66445                False            False  False     False  False  False   \n",
       "61554                False            False  False     False  False  False   \n",
       "65748                False            False  False     False  False  False   \n",
       "65543                False            False  False     False  False  False   \n",
       "65140                False            False  False     False  False  False   \n",
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       "62809                False            False  False     False  False  False   \n",
       "62501                False            False  False     False  False  False   \n",
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       "61696                False            False  False     False  False  False   \n",
       "61649                False            False  False     False  False  False   \n",
       "61556                False            False  False     False  False  False   \n",
       "126432               False            False  False     False  False  False   \n",
       "\n",
       "        I2C_CLUSTER  nb_patterns  \n",
       "cid                               \n",
       "60939         False            2  \n",
       "78770         False            2  \n",
       "91189         False            1  \n",
       "93969         False            1  \n",
       "93724         False            1  \n",
       "93416         False            1  \n",
       "93271         False            1  \n",
       "92838         False            1  \n",
       "92120         False            1  \n",
       "91742         False            1  \n",
       "91633         False            1  \n",
       "91291         False            1  \n",
       "91054         False            1  \n",
       "94536         False            1  \n",
       "90975         False            1  \n",
       "90710         False            1  \n",
       "90506         False            1  \n",
       "89757         False            1  \n",
       "89701         False            1  \n",
       "89577         False            1  \n",
       "88748         False            1  \n",
       "88252         False            1  \n",
       "88140         False            1  \n",
       "94391         False            1  \n",
       "30821         False            1  \n",
       "87566         False            1  \n",
       "95092         False            1  \n",
       "99203         False            1  \n",
       "98920         False            1  \n",
       "98902         False            1  \n",
       "...             ...          ...  \n",
       "58039         False            1  \n",
       "57953         False            1  \n",
       "57837         False            1  \n",
       "57479         False            1  \n",
       "57388         False            1  \n",
       "57008         False            1  \n",
       "60735         False            1  \n",
       "61238         False            1  \n",
       "66445         False            1  \n",
       "61554         False            1  \n",
       "65748         False            1  \n",
       "65543         False            1  \n",
       "65140         False            1  \n",
       "64884         False            1  \n",
       "64564         False            1  \n",
       "64179         False            1  \n",
       "63967         False            1  \n",
       "63879         False            1  \n",
       "63677         False            1  \n",
       "63365         False            1  \n",
       "63112         False            1  \n",
       "62809         False            1  \n",
       "62501         False            1  \n",
       "62070         False            1  \n",
       "61990         False            1  \n",
       "61856         False            1  \n",
       "61696         False            1  \n",
       "61649         False            1  \n",
       "61556         False            1  \n",
       "126432        False            1  \n",
       "\n",
       "[371 rows x 21 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# masking effect\n",
    "error_pattern.query('GEN == True').sort_values(by='nb_patterns', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101561</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109530</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113286</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126652</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        BLACKLIGHT  BLACKLIGHT2  CONFIG_NLS_DEFAULT  CRC32_CLUSTER   V4L2  \\\n",
       "cid                                                                         \n",
       "59503         True        False               False          False  False   \n",
       "64086         True        False               False          False  False   \n",
       "65670         True        False               False          False  False   \n",
       "66938         True        False               False          False  False   \n",
       "67750         True        False               False          False  False   \n",
       "75145         True        False               False          False  False   \n",
       "81720         True        False               False          False  False   \n",
       "89618         True        False               False          False  False   \n",
       "93674         True        False               False          False  False   \n",
       "98215         True        False               False          False  False   \n",
       "100734        True        False               False          False  False   \n",
       "101561        True        False               False          False  False   \n",
       "109530        True        False               False          False  False   \n",
       "113286        True        False               False          False  False   \n",
       "126652        True        False               False          False  False   \n",
       "\n",
       "        OVERFLOW2   ULPI    PCM    TTM  AS68K     ...       AICDB  AIC7XXX  \\\n",
       "cid                                               ...                        \n",
       "59503       False  False  False  False  False     ...       False    False   \n",
       "64086       False  False  False  False  False     ...       False    False   \n",
       "65670       False  False  False  False  False     ...       False    False   \n",
       "66938       False  False  False  False  False     ...       False    False   \n",
       "67750       False  False  False  False  False     ...       False    False   \n",
       "75145       False  False  False  False  False     ...       False    False   \n",
       "81720       False  False  False  False  False     ...       False    False   \n",
       "89618       False  False  False  False  False     ...       False    False   \n",
       "93674       False  False  False  False  False     ...       False    False   \n",
       "98215       False  False  False  False  False     ...       False    False   \n",
       "100734      False  False  False  False  False     ...       False    False   \n",
       "101561      False  False  False  False  False     ...       False    False   \n",
       "109530      False  False  False  False  False     ...       False    False   \n",
       "113286      False  False  False  False  False     ...       False    False   \n",
       "126652      False  False  False  False  False     ...       False    False   \n",
       "\n",
       "        DRM_BRIDGE_CLUSTER  PINCTRL_CLUSTER  BTBCM  BPFFANCY   DEVM  DEVM2  \\\n",
       "cid                                                                          \n",
       "59503                False            False  False     False  False  False   \n",
       "64086                False            False  False     False  False  False   \n",
       "65670                False            False  False     False  False  False   \n",
       "66938                False            False  False     False  False  False   \n",
       "67750                False            False  False     False  False  False   \n",
       "75145                False            False  False     False  False  False   \n",
       "81720                False            False  False     False  False  False   \n",
       "89618                False            False  False     False  False  False   \n",
       "93674                False            False  False     False  False  False   \n",
       "98215                False            False  False     False  False  False   \n",
       "100734               False            False  False     False  False  False   \n",
       "101561               False            False  False     False  False  False   \n",
       "109530               False            False  False     False  False  False   \n",
       "113286               False            False  False     False  False  False   \n",
       "126652               False            False  False     False  False  False   \n",
       "\n",
       "        I2C_CLUSTER  nb_patterns  \n",
       "cid                               \n",
       "59503         False            1  \n",
       "64086         False            1  \n",
       "65670         False            1  \n",
       "66938         False            1  \n",
       "67750         False            1  \n",
       "75145         False            1  \n",
       "81720         False            1  \n",
       "89618         False            1  \n",
       "93674         False            1  \n",
       "98215         False            1  \n",
       "100734        False            1  \n",
       "101561        False            1  \n",
       "109530        False            1  \n",
       "113286        False            1  \n",
       "126652        False            1  \n",
       "\n",
       "[15 rows x 21 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_pattern.query('BLACKLIGHT == True').sort_values(by='nb_patterns', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BLACKLIGHT</th>\n",
       "      <th>BLACKLIGHT2</th>\n",
       "      <th>CONFIG_NLS_DEFAULT</th>\n",
       "      <th>CRC32_CLUSTER</th>\n",
       "      <th>V4L2</th>\n",
       "      <th>OVERFLOW2</th>\n",
       "      <th>ULPI</th>\n",
       "      <th>PCM</th>\n",
       "      <th>TTM</th>\n",
       "      <th>AS68K</th>\n",
       "      <th>...</th>\n",
       "      <th>AICDB</th>\n",
       "      <th>AIC7XXX</th>\n",
       "      <th>DRM_BRIDGE_CLUSTER</th>\n",
       "      <th>PINCTRL_CLUSTER</th>\n",
       "      <th>BTBCM</th>\n",
       "      <th>BPFFANCY</th>\n",
       "      <th>DEVM</th>\n",
       "      <th>DEVM2</th>\n",
       "      <th>I2C_CLUSTER</th>\n",
       "      <th>nb_patterns</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cid</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",
       "      <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>37227</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89854</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98605</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       BLACKLIGHT  BLACKLIGHT2  CONFIG_NLS_DEFAULT  CRC32_CLUSTER   V4L2  \\\n",
       "cid                                                                        \n",
       "37227       False        False               False          False  False   \n",
       "89854       False        False               False          False  False   \n",
       "98605       False        False               False          False  False   \n",
       "\n",
       "       OVERFLOW2   ULPI    PCM    TTM  AS68K     ...       AICDB  AIC7XXX  \\\n",
       "cid                                              ...                        \n",
       "37227      False  False  False  False  False     ...       False    False   \n",
       "89854      False  False  False  False  False     ...       False    False   \n",
       "98605      False  False  False  False  False     ...       False    False   \n",
       "\n",
       "       DRM_BRIDGE_CLUSTER  PINCTRL_CLUSTER  BTBCM  BPFFANCY   DEVM  DEVM2  \\\n",
       "cid                                                                         \n",
       "37227               False             True  False     False  False  False   \n",
       "89854               False             True  False     False  False  False   \n",
       "98605               False             True  False     False  False  False   \n",
       "\n",
       "       I2C_CLUSTER  nb_patterns  \n",
       "cid                              \n",
       "37227        False            1  \n",
       "89854        False            1  \n",
       "98605        False            1  \n",
       "\n",
       "[3 rows x 21 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# nice masking effect!\n",
    "error_pattern.query('PINCTRL_CLUSTER == True & (AS68K == False & AIC7XXX == False)').sort_values(by='nb_patterns', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>BLACKLIGHT</th>\n",
       "      <th>BLACKLIGHT2</th>\n",
       "      <th>CONFIG_NLS_DEFAULT</th>\n",
       "      <th>CRC32_CLUSTER</th>\n",
       "      <th>V4L2</th>\n",
       "      <th>OVERFLOW2</th>\n",
       "      <th>ULPI</th>\n",
       "      <th>PCM</th>\n",
       "      <th>TTM</th>\n",
       "      <th>AS68K</th>\n",
       "      <th>...</th>\n",
       "      <th>AICDB</th>\n",
       "      <th>AIC7XXX</th>\n",
       "      <th>DRM_BRIDGE_CLUSTER</th>\n",
       "      <th>PINCTRL_CLUSTER</th>\n",
       "      <th>BTBCM</th>\n",
       "      <th>BPFFANCY</th>\n",
       "      <th>DEVM</th>\n",
       "      <th>DEVM2</th>\n",
       "      <th>I2C_CLUSTER</th>\n",
       "      <th>nb_patterns</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cid</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",
       "      <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>96730</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       BLACKLIGHT  BLACKLIGHT2  CONFIG_NLS_DEFAULT  CRC32_CLUSTER   V4L2  \\\n",
       "cid                                                                        \n",
       "96730       False        False               False          False  False   \n",
       "\n",
       "       OVERFLOW2   ULPI    PCM    TTM  AS68K     ...       AICDB  AIC7XXX  \\\n",
       "cid                                              ...                        \n",
       "96730      False  False  False  False  False     ...       False    False   \n",
       "\n",
       "       DRM_BRIDGE_CLUSTER  PINCTRL_CLUSTER  BTBCM  BPFFANCY   DEVM  DEVM2  \\\n",
       "cid                                                                         \n",
       "96730               False            False  False     False  False  False   \n",
       "\n",
       "       I2C_CLUSTER  nb_patterns  \n",
       "cid                              \n",
       "96730         True            1  \n",
       "\n",
       "[1 rows x 21 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# nice masking effect!\n",
    "error_pattern.query('I2C_CLUSTER == True & (PINCTRL_CLUSTER == False & AS68K == False & AIC7XXX == False)').sort_values(by='nb_patterns', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "# see Hugo notebook here!\n",
    "with open(\"option_columns.json\",\"r\") as f:\n",
    "    option_columns = json.load(f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 96096 entries, 14758 to 110853\n",
      "Columns: 12638 entries, 104_QUAD_8 to compile_success\n",
      "dtypes: float64(3), int64(24), int8(12611)\n",
      "memory usage: 1.1 GB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(96096, 12638)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd \n",
    "rawtuxdata = pd.read_csv(\"dataset_encoded.csv\", dtype={k:\"int8\" for k in option_columns})\n",
    "# rawtuxdata = pd.read_csv(\"dataset_after_encoding.csv\", dtype={k:\"int8\" for k in option_columns})\n",
    "rawtuxdata.query(\"cid >= 30000\", inplace=True)\n",
    "rawtuxdata.info(memory_usage='deep')\n",
    "rawtuxdata.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "for cid in suspicious_cids:\n",
    "    rawtuxdata.query(\"cid != \" + str(cid), inplace=True)\n",
    "    # rawtuxdata = rawtuxdata[rawtuxdata.cid != cid]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cid</th>\n",
       "      <th>X86_64</th>\n",
       "      <th>TRACING</th>\n",
       "      <th>FSI</th>\n",
       "      <th>DRM_VBOXVIDEO</th>\n",
       "      <th>GENERIC_ALLOCATOR</th>\n",
       "      <th>compile_success</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14758</th>\n",
       "      <td>30000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14759</th>\n",
       "      <td>30001</td>\n",
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       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14761</th>\n",
       "      <td>30003</td>\n",
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       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>14762</th>\n",
       "      <td>30004</td>\n",
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       "      <td>2</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14763</th>\n",
       "      <td>30005</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14764</th>\n",
       "      <td>30006</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14765</th>\n",
       "      <td>30007</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14766</th>\n",
       "      <td>30008</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14767</th>\n",
       "      <td>30009</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         cid  X86_64  TRACING  FSI  DRM_VBOXVIDEO  GENERIC_ALLOCATOR  \\\n",
       "14758  30000       0        1    2              1                  1   \n",
       "14759  30001       0        0    1              1                  1   \n",
       "14760  30002       0        1    2              1                  0   \n",
       "14761  30003       0        0    2              1                  1   \n",
       "14762  30004       0        0    2              1                  1   \n",
       "14763  30005       0        0    2              1                  1   \n",
       "14764  30006       0        1    2              1                  1   \n",
       "14765  30007       0        0    1              1                  1   \n",
       "14766  30008       0        1    2              1                  1   \n",
       "14767  30009       0        0    2              1                  1   \n",
       "\n",
       "       compile_success  \n",
       "14758                1  \n",
       "14759                1  \n",
       "14760                1  \n",
       "14761                1  \n",
       "14762                1  \n",
       "14763                1  \n",
       "14764                1  \n",
       "14765                1  \n",
       "14766                1  \n",
       "14767                1  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata[['cid', 'X86_64', 'TRACING', 'FSI', 'DRM_VBOXVIDEO', 'GENERIC_ALLOCATOR', 'compile_success']][:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3621"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(rawtuxdata.query(\"compile_success != 1\").index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{33833,\n",
       " 33836,\n",
       " 33837,\n",
       " 54125,\n",
       " 54126,\n",
       " 54127,\n",
       " 54128,\n",
       " 54129,\n",
       " 56432,\n",
       " 56558,\n",
       " 57249,\n",
       " 70614,\n",
       " 70665,\n",
       " 70709,\n",
       " 70710,\n",
       " 74227,\n",
       " 74233,\n",
       " 78892,\n",
       " 79033,\n",
       " 79141,\n",
       " 88152,\n",
       " 88817,\n",
       " 88909}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(errorlogs['cid']) - set(rawtuxdata['cid']) # duplicates!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{30000,\n",
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       " 30593,\n",
       " 30594,\n",
       " 30595,\n",
       " 30596,\n",
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       " 30598,\n",
       " 30599,\n",
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       " 30658,\n",
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       " 30660,\n",
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       " 30670,\n",
       " 30671,\n",
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       " 30673,\n",
       " 30674,\n",
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       " 30676,\n",
       " 30677,\n",
       " 30678,\n",
       " 30679,\n",
       " 30680,\n",
       " 30681,\n",
       " 30682,\n",
       " 30683,\n",
       " 30684,\n",
       " 30685,\n",
       " 30686,\n",
       " 30687,\n",
       " 30688,\n",
       " 30689,\n",
       " 30690,\n",
       " 30691,\n",
       " 30692,\n",
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       " 30694,\n",
       " 30695,\n",
       " 30696,\n",
       " 30697,\n",
       " 30701,\n",
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       " 30703,\n",
       " 30705,\n",
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       " 30709,\n",
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       " 30712,\n",
       " 30713,\n",
       " 30714,\n",
       " 30715,\n",
       " 30716,\n",
       " 30719,\n",
       " 30720,\n",
       " 30721,\n",
       " 30723,\n",
       " 30724,\n",
       " 30725,\n",
       " 30727,\n",
       " 30728,\n",
       " 30729,\n",
       " 30732,\n",
       " 30733,\n",
       " 30734,\n",
       " 30735,\n",
       " 30736,\n",
       " 30738,\n",
       " 30739,\n",
       " 30740,\n",
       " 30741,\n",
       " 30742,\n",
       " 30743,\n",
       " 30744,\n",
       " 30745,\n",
       " 30746,\n",
       " 30747,\n",
       " 30748,\n",
       " 30749,\n",
       " 30750,\n",
       " 30751,\n",
       " 30752,\n",
       " 30753,\n",
       " 30754,\n",
       " 30755,\n",
       " 30756,\n",
       " 30757,\n",
       " 30758,\n",
       " 30759,\n",
       " 30760,\n",
       " 30761,\n",
       " 30762,\n",
       " 30763,\n",
       " 30764,\n",
       " 30765,\n",
       " 30766,\n",
       " 30767,\n",
       " 30768,\n",
       " 30769,\n",
       " 30770,\n",
       " 30771,\n",
       " 30772,\n",
       " 30773,\n",
       " 30774,\n",
       " 30775,\n",
       " 30776,\n",
       " 30777,\n",
       " 30778,\n",
       " 30779,\n",
       " 30780,\n",
       " 30781,\n",
       " 30782,\n",
       " 30783,\n",
       " 30784,\n",
       " 30785,\n",
       " 30786,\n",
       " 30787,\n",
       " 30788,\n",
       " 30789,\n",
       " 30790,\n",
       " 30791,\n",
       " 30792,\n",
       " 30793,\n",
       " 30794,\n",
       " 30795,\n",
       " 30796,\n",
       " 30797,\n",
       " 30798,\n",
       " 30799,\n",
       " 30800,\n",
       " 30801,\n",
       " 30802,\n",
       " 30803,\n",
       " 30804,\n",
       " 30805,\n",
       " 30807,\n",
       " 30808,\n",
       " 30809,\n",
       " 30810,\n",
       " 30812,\n",
       " 30813,\n",
       " 30814,\n",
       " 30815,\n",
       " 30816,\n",
       " 30817,\n",
       " 30818,\n",
       " 30819,\n",
       " 30820,\n",
       " 30822,\n",
       " 30823,\n",
       " 30824,\n",
       " 30825,\n",
       " 30826,\n",
       " 30827,\n",
       " 30828,\n",
       " 30829,\n",
       " 30830,\n",
       " 30831,\n",
       " 30832,\n",
       " 30833,\n",
       " 30834,\n",
       " 30835,\n",
       " 30836,\n",
       " 30838,\n",
       " 30839,\n",
       " 30840,\n",
       " 30841,\n",
       " 30842,\n",
       " 30843,\n",
       " 30844,\n",
       " 30846,\n",
       " 30847,\n",
       " 30848,\n",
       " 30850,\n",
       " 30851,\n",
       " 30852,\n",
       " 30853,\n",
       " 30854,\n",
       " 30855,\n",
       " 30856,\n",
       " 30857,\n",
       " 30858,\n",
       " 30859,\n",
       " 30860,\n",
       " 30861,\n",
       " 30862,\n",
       " 30863,\n",
       " 30864,\n",
       " 30865,\n",
       " 30866,\n",
       " 30867,\n",
       " 30868,\n",
       " 30869,\n",
       " 30870,\n",
       " 30871,\n",
       " 30872,\n",
       " 30873,\n",
       " 30874,\n",
       " 30875,\n",
       " 30876,\n",
       " 30877,\n",
       " 30878,\n",
       " 30880,\n",
       " 30881,\n",
       " 30882,\n",
       " 30883,\n",
       " 30884,\n",
       " 30885,\n",
       " 30887,\n",
       " 30888,\n",
       " 30889,\n",
       " 30890,\n",
       " 30892,\n",
       " 30893,\n",
       " 30894,\n",
       " 30895,\n",
       " 30896,\n",
       " 30897,\n",
       " 30898,\n",
       " 30899,\n",
       " 30900,\n",
       " 30902,\n",
       " 30903,\n",
       " 30905,\n",
       " 30906,\n",
       " 30907,\n",
       " 30908,\n",
       " 30909,\n",
       " 30910,\n",
       " 30911,\n",
       " 30912,\n",
       " 30913,\n",
       " 30914,\n",
       " 30915,\n",
       " 30916,\n",
       " 30918,\n",
       " 30919,\n",
       " 30920,\n",
       " 30921,\n",
       " 30922,\n",
       " 30923,\n",
       " 30924,\n",
       " 30925,\n",
       " 30926,\n",
       " 30928,\n",
       " 30929,\n",
       " 30930,\n",
       " 30931,\n",
       " 30932,\n",
       " 30933,\n",
       " 30934,\n",
       " 30935,\n",
       " 30936,\n",
       " 30937,\n",
       " 30938,\n",
       " 30939,\n",
       " 30940,\n",
       " 30941,\n",
       " 30942,\n",
       " 30943,\n",
       " 30944,\n",
       " 30945,\n",
       " 30946,\n",
       " 30947,\n",
       " 30948,\n",
       " 30950,\n",
       " 30951,\n",
       " 30952,\n",
       " 30953,\n",
       " 30954,\n",
       " 30955,\n",
       " 30956,\n",
       " 30957,\n",
       " 30958,\n",
       " 30960,\n",
       " 30963,\n",
       " 30965,\n",
       " 30966,\n",
       " 30967,\n",
       " 30968,\n",
       " 30969,\n",
       " 30970,\n",
       " 30972,\n",
       " 30973,\n",
       " 30974,\n",
       " 30975,\n",
       " 30976,\n",
       " 30977,\n",
       " 30978,\n",
       " 30979,\n",
       " 30980,\n",
       " 30981,\n",
       " 30982,\n",
       " 30983,\n",
       " 30984,\n",
       " 30985,\n",
       " 30986,\n",
       " 30987,\n",
       " 30988,\n",
       " 30990,\n",
       " 30991,\n",
       " 30992,\n",
       " 30993,\n",
       " 30994,\n",
       " 30995,\n",
       " 30996,\n",
       " 30997,\n",
       " 30998,\n",
       " 30999,\n",
       " 31000,\n",
       " 31001,\n",
       " 31002,\n",
       " 31003,\n",
       " 31004,\n",
       " 31005,\n",
       " 31006,\n",
       " 31007,\n",
       " 31008,\n",
       " 31009,\n",
       " 31010,\n",
       " 31011,\n",
       " 31013,\n",
       " 31014,\n",
       " 31015,\n",
       " 31016,\n",
       " 31017,\n",
       " 31018,\n",
       " 31019,\n",
       " 31020,\n",
       " 31021,\n",
       " 31022,\n",
       " 31023,\n",
       " 31024,\n",
       " 31026,\n",
       " 31027,\n",
       " 31028,\n",
       " 31029,\n",
       " 31030,\n",
       " 31031,\n",
       " 31032,\n",
       " ...}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(rawtuxdata['cid']) - set(errorlogs['cid'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "basic_head = [\"cid\", \"time\", \"date\"] # \"compile\"\n",
    "compilation_status_column_name = 'compile_success'\n",
    "size_methods = [\"vmlinux\", \"GZIP-bzImage\", \"GZIP-vmlinux\", \"GZIP\", \"BZIP2-bzImage\", \n",
    "              \"BZIP2-vmlinux\", \"BZIP2\", \"LZMA-bzImage\", \"LZMA-vmlinux\", \"LZMA\", \"XZ-bzImage\", \"XZ-vmlinux\", \"XZ\", \n",
    "              \"LZO-bzImage\", \"LZO-vmlinux\", \"LZO\", \"LZ4-bzImage\", \"LZ4-vmlinux\", \"LZ4\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "96094 before the removal of some entries (those with same configurations)\n",
      "96094 after the removal of some entries (those with same configurations)\n"
     ]
    }
   ],
   "source": [
    "print(str(len(rawtuxdata)) + \" before the removal of some entries (those with same configurations)\")\n",
    "# tuxdata.drop_duplicates(subset=tuxdata.columns.difference(['vmlinux']), inplace=True)\n",
    "# rawtuxdata.drop_duplicates(subset=rawtuxdata.columns.difference(size_methods).difference(basic_head), inplace=True)\n",
    "rawtuxdata.drop_duplicates(subset=rawtuxdata.columns.difference(basic_head).difference([compilation_status_column_name]), inplace=True)\n",
    "print(str(len(rawtuxdata)) + \" after the removal of some entries (those with same configurations)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "#rawtuxdata.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>cid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14758</th>\n",
       "      <td>30000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14759</th>\n",
       "      <td>30001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14760</th>\n",
       "      <td>30002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14761</th>\n",
       "      <td>30003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14762</th>\n",
       "      <td>30004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14763</th>\n",
       "      <td>30005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14764</th>\n",
       "      <td>30006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14765</th>\n",
       "      <td>30007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14766</th>\n",
       "      <td>30008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14767</th>\n",
       "      <td>30009</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         cid\n",
       "14758  30000\n",
       "14759  30001\n",
       "14760  30002\n",
       "14761  30003\n",
       "14762  30004\n",
       "14763  30005\n",
       "14764  30006\n",
       "14765  30007\n",
       "14766  30008\n",
       "14767  30009"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata[:10][['cid']]\n",
    "# rawtuxdata.query(\"cid >= 30000\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "30901  False  False     True\n",
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "37341   True  False    False\n",
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "40757   True  False    False\n",
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "48193   True  False    False\n",
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "50359   True  False    False\n",
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "55986   True  False    False\n",
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "59253   True  False    False\n",
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "61758   True  False    False\n",
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "67576   True  False    False\n",
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "79099   True  False    False\n",
      "       AICDB  AS68K  AIC7XXX\n",
      "cid                         \n",
      "84168   True  False    False\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from tabulate import tabulate\n",
    "\n",
    "def pandas_df_to_markdown_table(df):\n",
    "    # Dependent upon ipython\n",
    "    # shamelessly stolen from https://stackoverflow.com/questions/33181846/programmatically-convert-pandas-dataframe-to-markdown-table\n",
    "    from IPython.display import Markdown, display\n",
    "    fmt = ['---' for i in range(len(df.columns))]\n",
    "    df_fmt = pd.DataFrame([fmt], columns=df.columns)\n",
    "    df_formatted = pd.concat([df_fmt, df])\n",
    "    #display(Markdown(df_formatted.to_csv(sep=\"|\", index=False)))\n",
    "    return Markdown(df_formatted.to_csv(sep=\"|\", index=False))\n",
    "#     return df_formatted\n",
    "\n",
    "def df_to_markdown(df, y_index=False):\n",
    "    blob = tabulate(df, headers='keys', tablefmt='pipe')\n",
    "    if not y_index:\n",
    "        # Remove the index with some creative splicing and iteration\n",
    "        return '\\n'.join(['| {}'.format(row.split('|', 2)[-1]) for row in blob.split('\\n')])\n",
    "    return blob\n",
    "\n",
    "\n",
    "generic_mask = rawtuxdata.query(\"cid >= 30000 & GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 & (AIC7XXX_BUILD_FIRMWARE == 1 | AIC79XX_BUILD_FIRMWARE == 1)\")[['cid', compilation_status_column_name, 'AIC7XXX_BUILD_FIRMWARE', 'AIC79XX_BUILD_FIRMWARE', 'GENERIC_ALLOCATOR', 'DRM_VBOXVIDEO']]\n",
    "#print(df_to_markdown(generic_mask))\n",
    "\n",
    "for cid in generic_mask['cid'].values:\n",
    "    print(error_patternfirst.query(\"cid == \" + str(cid))[['AICDB', 'AS68K', 'AIC7XXX']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['drivers/gpu/drm/radeon/radeon_object.c: In function \\'radeon_bo_create\\':\\ndrivers/gpu/drm/radeon/radeon_object.c:242:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\\n #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\\\\n  ^~~~~~~\\ndrivers/gpu/drm/radeon/radeon_object.c:242:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\\n #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\\\\n  ^~~~~~~\\naicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\\n #include \"aicdb.h\"\\n                   ^\\ncompilation terminated.\\naicasm_gram.tab.c: In function \\'yyparse\\':\\naicasm_gram.tab.c:1628:16: warning: implicit declaration of function \\'yylex\\' [-Wimplicit-function-declaration]\\naicasm_macro_gram.tab.c: In function \\'mmparse\\':\\n/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function \\'mmlex\\' [-Wimplicit-function-declaration]\\n #define yylex           mmlex\\n                         ^\\naicasm_macro_gram.tab.c:1199:16: note: in expansion of macro \\'yylex\\'\\naicasm_scan.l: In function \\'yylex\\':\\naicasm_scan.l:420:6: warning: implicit declaration of function \\'mm_switch_to_buffer\\' [-Wimplicit-function-declaration]\\n      yy_switch_to_buffer(temp_state);\\n      ^~~~~~~~~~~~~~~~~~~\\naicasm_scan.l:421:6: warning: implicit declaration of function \\'mmparse\\' [-Wimplicit-function-declaration]\\n      mm_switch_to_buffer(old_state);\\n      ^~~~~~~\\naicasm_scan.l:424:6: warning: implicit declaration of function \\'mm_delete_buffer\\' [-Wimplicit-function-declaration]\\n      yy_switch_to_buffer(old_state);\\n      ^~~~~~~~~~~~~~~~\\nmake[4]: *** [aicasm] Error 1\\nmake[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\\nmake[2]: *** [drivers/scsi/aic7xxx] Error 2\\nmake[2]: *** Waiting for unfinished jobs....\\nmake[1]: *** [drivers/scsi] Error 2\\nmake[1]: *** Waiting for unfinished jobs....\\nmake: *** [drivers] Error 2\\n'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "errorlogs.query(\"cid == 40757\")['error_message'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "warning: (X86_INTEL_LPSS && INTEL_SOC_DTS_IOSF_CORE && SND_SST_IPC_ACPI && MMC_SDHCI_ACPI) selects IOSF_MBI which has unmet direct dependencies (PCI)\n",
      "warning: (X86_INTEL_LPSS && INTEL_SOC_DTS_IOSF_CORE && SND_SST_IPC_ACPI && MMC_SDHCI_ACPI) selects IOSF_MBI which has unmet direct dependencies (PCI)\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function ‘yyparse’:\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function ‘yylex’ [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function ‘mmparse’:\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function ‘mmlex’ [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro ‘yylex’\n",
      "aicasm_scan.l: In function ‘yylex’:\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function ‘mm_switch_to_buffer’ [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function ‘mmparse’ [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function ‘mm_delete_buffer’ [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "make[4]: flex: Command not found\n",
      "make[4]: *** [/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_scan.c] Error 127\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "In file included from ./include/linux/mtd/spi-nor.h:14:0,\n",
      "                 from drivers/spi/spi-bcm-qspi.c:28:\n",
      "./include/linux/mtd/cfi.h:76:2: warning: #warning No CONFIG_MTD_CFI_Ix selected. No NOR chip support can work. [-Wcpp]\n",
      " #warning No CONFIG_MTD_CFI_Ix selected. No NOR chip support can work.\n",
      "  ^~~~~~~\n",
      "In file included from ./include/linux/mtd/spi-nor.h:14:0,\n",
      "                 from drivers/spi/spi-bcm-qspi.c:28:\n",
      "./include/linux/mtd/cfi.h:76:2: warning: #warning No CONFIG_MTD_CFI_Ix selected. No NOR chip support can work. [-Wcpp]\n",
      " #warning No CONFIG_MTD_CFI_Ix selected. No NOR chip support can work.\n",
      "  ^~~~~~~\n",
      "make: *** [drivers] Error 2\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "In file included from /usr/include/linux/filter.h:9:0,\n",
      "                 from samples/seccomp/bpf-fancy.c:12:\n",
      "/usr/include/linux/types.h:4:23: fatal error: asm/types.h: No such file or directory\n",
      " #include <asm/types.h>\n",
      "                       ^\n",
      "compilation terminated.\n",
      "make[2]: *** [samples/seccomp/bpf-fancy.o] Error 1\n",
      "make[1]: *** [samples/seccomp] Error 2\n",
      "make: *** [samples] Error 2\n",
      "make: *** Waiting for unfinished jobs....\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "In file included from /usr/include/stdio.h:27:0,\n",
      "                 from samples/seccomp/bpf-fancy.c:15:\n",
      "/usr/include/features.h:364:25: fatal error: sys/cdefs.h: No such file or directory\n",
      " #  include <sys/cdefs.h>\n",
      "                         ^\n",
      "compilation terminated.\n",
      "make[2]: *** [samples/seccomp/bpf-fancy.o] Error 1\n",
      "make[1]: *** [samples/seccomp] Error 2\n",
      "make: *** [samples] Error 2\n",
      "make: *** Waiting for unfinished jobs....\n",
      "lib/ubsan.o: warning: objtool: val_to_string.constprop.4()+0xaf: leave instruction with modified stack frame\n",
      "/bin/sh: 1: as68k: not found\n",
      "make[3]: *** [drivers/net/wan/wanxlfw.inc] Error 127\n",
      "make[2]: *** [drivers/net/wan] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/net] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "crypto/twofish_common.c: In function '__twofish_setkey':\n",
      "crypto/twofish_common.c:700:1: warning: the frame size of 4992 bytes is larger than 2048 bytes [-Wframe-larger-than=]\n",
      " }\n",
      " ^\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In file included from ./include/linux/bitmap.h:8:0,\n",
      "                 from ./include/linux/cpumask.h:11,\n",
      "                 from ./arch/x86/include/asm/cpumask.h:4,\n",
      "                 from ./arch/x86/include/asm/msr.h:10,\n",
      "                 from ./arch/x86/include/asm/processor.h:20,\n",
      "                 from ./arch/x86/include/asm/cpufeature.h:4,\n",
      "                 from ./arch/x86/include/asm/thread_info.h:52,\n",
      "                 from ./include/linux/thread_info.h:37,\n",
      "                 from ./arch/x86/include/asm/preempt.h:6,\n",
      "                 from ./include/linux/preempt.h:80,\n",
      "                 from ./include/linux/spinlock.h:50,\n",
      "                 from drivers/infiniband/core/core_priv.h:37,\n",
      "                 from drivers/infiniband/core/roce_gid_mgmt.c:33:\n",
      "In function 'memcpy',\n",
      "    inlined from 'rdma_ip2gid' at ./include/rdma/ib_addr.h:175:3,\n",
      "    inlined from 'addr_event.isra.0.constprop' at drivers/infiniband/core/roce_gid_mgmt.c:691:2,\n",
      "    inlined from 'inetaddr_event' at drivers/infiniband/core/roce_gid_mgmt.c:714:9:\n",
      "./include/linux/string.h:305:4: error: call to '__read_overflow2' declared with attribute error: detected read beyond size of object passed as 2nd parameter\n",
      "    __read_overflow2();\n",
      "    ^~~~~~~~~~~~~~~~~~\n",
      "make[3]: *** [drivers/infiniband/core/roce_gid_mgmt.o] Error 1\n",
      "make[2]: *** [drivers/infiniband/core] Error 2\n",
      "make[1]: *** [drivers/infiniband] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "In file included from ./include/linux/bitmap.h:8:0,\n",
      "                 from ./include/linux/cpumask.h:11,\n",
      "                 from ./arch/x86/include/asm/cpumask.h:4,\n",
      "                 from ./arch/x86/include/asm/msr.h:10,\n",
      "                 from ./arch/x86/include/asm/processor.h:20,\n",
      "                 from ./arch/x86/include/asm/cpufeature.h:4,\n",
      "                 from ./arch/x86/include/asm/thread_info.h:52,\n",
      "                 from ./include/linux/thread_info.h:37,\n",
      "                 from ./arch/x86/include/asm/preempt.h:6,\n",
      "                 from ./include/linux/preempt.h:80,\n",
      "                 from ./include/linux/spinlock.h:50,\n",
      "                 from drivers/infiniband/core/core_priv.h:37,\n",
      "                 from drivers/infiniband/core/roce_gid_mgmt.c:33:\n",
      "In function 'memcpy',\n",
      "    inlined from 'rdma_ip2gid' at ./include/rdma/ib_addr.h:175:3,\n",
      "    inlined from 'addr_event.isra.0.constprop' at drivers/infiniband/core/roce_gid_mgmt.c:691:2,\n",
      "    inlined from 'inetaddr_event' at drivers/infiniband/core/roce_gid_mgmt.c:714:9:\n",
      "./include/linux/string.h:305:4: error: call to '__read_overflow2' declared with attribute error: detected read beyond size of object passed as 2nd parameter\n",
      "    __read_overflow2();\n",
      "    ^~~~~~~~~~~~~~~~~~\n",
      "make[3]: *** [drivers/infiniband/core/roce_gid_mgmt.o] Error 1\n",
      "make[2]: *** [drivers/infiniband/core] Error 2\n",
      "make[1]: *** [drivers/infiniband] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "In file included from ./include/linux/uaccess.h:13:0,\n",
      "                 from ./include/linux/highmem.h:8,\n",
      "                 from fs/binfmt_elf.c:28:\n",
      "fs/binfmt_elf.c: In function 'create_elf_tables':\n",
      "./arch/x86/include/asm/uaccess_64.h:143:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(4[(u16 *)src], 4 + (u16 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "./arch/x86/include/asm/uaccess_64.h:143:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(4[(u16 *)src], 4 + (u16 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "./arch/x86/include/asm/uaccess_64.h:154:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(1[(u64 *)src], 1 + (u64 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "./arch/x86/include/asm/uaccess_64.h:154:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(1[(u64 *)src], 1 + (u64 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "In file included from ./include/linux/uaccess.h:13:0,\n",
      "                 from ./include/linux/highmem.h:8,\n",
      "                 from fs/binfmt_elf.c:28,\n",
      "                 from fs/compat_binfmt_elf.c:131:\n",
      "fs/binfmt_elf.c: In function 'create_elf_tables':\n",
      "./arch/x86/include/asm/uaccess_64.h:143:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(4[(u16 *)src], 4 + (u16 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "./arch/x86/include/asm/uaccess_64.h:143:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(4[(u16 *)src], 4 + (u16 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "./arch/x86/include/asm/uaccess_64.h:154:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(1[(u64 *)src], 1 + (u64 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "./arch/x86/include/asm/uaccess_64.h:154:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(1[(u64 *)src], 1 + (u64 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "/bin/sh: 1: as68k: not found\n",
      "make[3]: *** [drivers/net/wan/wanxlfw.inc] Error 127\n",
      "make[2]: *** [drivers/net/wan] Error 2\n",
      "make[1]: *** [drivers/net] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "In file included from ./include/linux/bitmap.h:8:0,\n",
      "                 from ./include/linux/cpumask.h:11,\n",
      "                 from ./arch/x86/include/asm/cpumask.h:4,\n",
      "                 from ./arch/x86/include/asm/msr.h:10,\n",
      "                 from ./arch/x86/include/asm/processor.h:20,\n",
      "                 from ./arch/x86/include/asm/cpufeature.h:4,\n",
      "                 from ./arch/x86/include/asm/thread_info.h:52,\n",
      "                 from ./include/linux/thread_info.h:37,\n",
      "                 from ./arch/x86/include/asm/preempt.h:6,\n",
      "                 from ./include/linux/preempt.h:80,\n",
      "                 from ./include/linux/spinlock.h:50,\n",
      "                 from drivers/infiniband/core/core_priv.h:37,\n",
      "                 from drivers/infiniband/core/roce_gid_mgmt.c:33:\n",
      "In function 'memcpy',\n",
      "    inlined from 'rdma_ip2gid' at ./include/rdma/ib_addr.h:175:3,\n",
      "    inlined from 'addr_event.isra.0.constprop' at drivers/infiniband/core/roce_gid_mgmt.c:691:2,\n",
      "    inlined from 'inetaddr_event' at drivers/infiniband/core/roce_gid_mgmt.c:714:9:\n",
      "./include/linux/string.h:305:4: error: call to '__read_overflow2' declared with attribute error: detected read beyond size of object passed as 2nd parameter\n",
      "    __read_overflow2();\n",
      "    ^~~~~~~~~~~~~~~~~~\n",
      "make[3]: *** [drivers/infiniband/core/roce_gid_mgmt.o] Error 1\n",
      "make[2]: *** [drivers/infiniband/core] Error 2\n",
      "make[1]: *** [drivers/infiniband] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "lib/ubsan.o: warning: objtool: val_to_string.constprop.4()+0xaf: leave instruction with modified stack frame\n",
      "/bin/sh: 1: as68k: not found\n",
      "make[3]: *** [drivers/net/wan/wanxlfw.inc] Error 127\n",
      "make[3]: *** Waiting for unfinished jobs....\n",
      "make[2]: *** [drivers/net/wan] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "aicasm_symbol.c: In function 'aic_print_reg_dump_end':\n",
      "aicasm_symbol.c:397:13: warning: implicit declaration of function 'tolower' [-Wimplicit-function-declaration]\n",
      "   *letter = tolower(*letter);\n",
      "             ^~~~~~~\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "drivers/scsi/aic7xxx/aicasm/aicasm: 880 instructions used\n",
      "drivers/scsi/aic7xxx/aicasm/aicasm: 25 of 37 register definitions used\n",
      "make[1]: *** [drivers/net] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "drivers/gpu/drm/radeon/radeon_object.c: In function 'radeon_bo_create':\n",
      "drivers/gpu/drm/radeon/radeon_object.c:242:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\n",
      " #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\n",
      "  ^~~~~~~\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "drivers/gpu/drm/amd/amdgpu/amdgpu_object.c: In function 'amdgpu_bo_create_restricted':\n",
      "drivers/gpu/drm/amd/amdgpu/amdgpu_object.c:378:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\n",
      " #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\n",
      "  ^~~~~~~\n",
      "drivers/staging/vboxvideo/vbox_hgsmi.o: In function `hgsmi_buffer_alloc':\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_hgsmi.c:76: undefined reference to `gen_pool_dma_alloc'\n",
      "drivers/staging/vboxvideo/vbox_hgsmi.o: In function `hgsmi_buffer_free':\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_hgsmi.c:101: undefined reference to `gen_pool_free'\n",
      "drivers/staging/vboxvideo/vbox_hgsmi.o: In function `hgsmi_buffer_submit':\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_hgsmi.c:108: undefined reference to `gen_pool_virt_to_phys'\n",
      "drivers/staging/vboxvideo/vbox_main.o: In function `vbox_hw_fini':\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_main.c:348: undefined reference to `gen_pool_destroy'\n",
      "drivers/staging/vboxvideo/vbox_main.o: In function `vbox_driver_load':\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_main.c:295: undefined reference to `gen_pool_create'\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_main.c:299: undefined reference to `gen_pool_add_virt'\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_main.c:339: undefined reference to `gen_pool_destroy'\n",
      "make: *** [vmlinux] Error 1\n",
      "drivers/gpu/drm/radeon/radeon_object.c: In function 'radeon_bo_create':\n",
      "drivers/gpu/drm/radeon/radeon_object.c:242:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\n",
      " #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\n",
      "  ^~~~~~~\n",
      "drivers/staging/vboxvideo/vbox_hgsmi.o: In function `hgsmi_buffer_alloc':\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_hgsmi.c:76: undefined reference to `gen_pool_dma_alloc'\n",
      "drivers/staging/vboxvideo/vbox_hgsmi.o: In function `hgsmi_buffer_free':\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_hgsmi.c:101: undefined reference to `gen_pool_free'\n",
      "drivers/staging/vboxvideo/vbox_hgsmi.o: In function `hgsmi_buffer_submit':\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_hgsmi.c:108: undefined reference to `gen_pool_virt_to_phys'\n",
      "drivers/staging/vboxvideo/vbox_main.o: In function `vbox_hw_fini':\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_main.c:348: undefined reference to `gen_pool_destroy'\n",
      "drivers/staging/vboxvideo/vbox_main.o: In function `vbox_driver_load':\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_main.c:295: undefined reference to `gen_pool_create'\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_main.c:299: undefined reference to `gen_pool_add_virt'\n",
      "/TuxML/linux-4.13.3/drivers/staging/vboxvideo/vbox_main.c:339: undefined reference to `gen_pool_destroy'\n",
      "make: *** [vmlinux] Error 1\n",
      "drivers/gpu/drm/radeon/radeon_object.c: In function 'radeon_bo_create':\n",
      "drivers/gpu/drm/radeon/radeon_object.c:242:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\n",
      " #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\n",
      "  ^~~~~~~\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n"
     ]
    }
   ],
   "source": [
    "cid_errors_not_in_configdata = set(errorlogs['cid']) - set(rawtuxdata['cid'])\n",
    "for cid in cid_errors_not_in_configdata:\n",
    "    error_message = errorlogs.query(\"cid == \" + str(cid))['error_message'].values\n",
    "    for err in error_message[0].splitlines():\n",
    "        if \"Cyclomatic\" not in err:\n",
    "            print (err)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((3621, 2), (3621, 20), (3621, 21))"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TODO: workaround \n",
    "# see issue here: https://github.com/TuxML/compilation-analysis/issues/7\n",
    "for cid in cid_errors_not_in_configdata:\n",
    "    errorlogs = errorlogs[errorlogs.cid != cid]\n",
    "    error_patternfirst = error_patternfirst[error_patternfirst.index != cid]\n",
    "    error_pattern = error_pattern[error_pattern.index != cid]\n",
    "\n",
    "errorlogs.shape, error_patternfirst.shape, error_pattern.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BLACKLIGHT              15\n",
       "BLACKLIGHT2              1\n",
       "CONFIG_NLS_DEFAULT       6\n",
       "CRC32_CLUSTER            2\n",
       "V4L2                    19\n",
       "OVERFLOW2               83\n",
       "ULPI                     1\n",
       "PCM                      1\n",
       "TTM                     13\n",
       "AS68K                  476\n",
       "GEN                    367\n",
       "AICDB                 2464\n",
       "AIC7XXX                161\n",
       "DRM_BRIDGE_CLUSTER       3\n",
       "PINCTRL_CLUSTER          3\n",
       "BTBCM                    2\n",
       "BPFFANCY                 0\n",
       "DEVM                     2\n",
       "DEVM2                    1\n",
       "I2C_CLUSTER              1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 41,
     "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": [
    "patternfirst_frequencies = error_patternfirst[pattern_name].apply(nb_patterns, axis=0)\n",
    "patternfirst_frequencies.plot(kind='bar')\n",
    "patternfirst_frequencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3621"
      ]
     },
     "execution_count": 245,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(patternfirst_frequencies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "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>cluster</th>\n",
       "      <th>error message</th>\n",
       "      <th>nb_failures</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>AICDB</td>\n",
       "      <td>aicdb.h: No such file or directory</td>\n",
       "      <td>2464</td>\n",
       "      <td>68.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>AS68K</td>\n",
       "      <td>as68k: not found</td>\n",
       "      <td>476</td>\n",
       "      <td>13.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>GEN</td>\n",
       "      <td>undefined reference to `gen_pool</td>\n",
       "      <td>367</td>\n",
       "      <td>10.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>AIC7XXX</td>\n",
       "      <td>[drivers/scsi/aic7xxx/aicasm/aicasm] Error 2</td>\n",
       "      <td>161</td>\n",
       "      <td>4.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>OVERFLOW2</td>\n",
       "      <td>__read_overflow2</td>\n",
       "      <td>83</td>\n",
       "      <td>2.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>V4L2</td>\n",
       "      <td>undefined reference to `v4l2</td>\n",
       "      <td>19</td>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BLACKLIGHT</td>\n",
       "      <td>undefined reference to `backlight_device</td>\n",
       "      <td>15</td>\n",
       "      <td>0.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>TTM</td>\n",
       "      <td>undefined reference to `ttm</td>\n",
       "      <td>13</td>\n",
       "      <td>0.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CONFIG_NLS_DEFAULT</td>\n",
       "      <td>CONFIG_NLS_DEFAULT</td>\n",
       "      <td>6</td>\n",
       "      <td>0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DRM_BRIDGE_CLUSTER</td>\n",
       "      <td>undefined reference to `drm_panel_bridge_add</td>\n",
       "      <td>3</td>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>PINCTRL_CLUSTER</td>\n",
       "      <td>[drivers/pinctrl/pinctrl-mcp23s08.o] Error</td>\n",
       "      <td>3</td>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CRC32_CLUSTER</td>\n",
       "      <td>undefined reference to `crc32</td>\n",
       "      <td>2</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>BTBCM</td>\n",
       "      <td>undefined reference to `btbcm_set_bdaddr</td>\n",
       "      <td>2</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>DEVM</td>\n",
       "      <td>undefined reference to `__devm_regmap</td>\n",
       "      <td>2</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>PCM</td>\n",
       "      <td>undefined reference to `atmel_pcm_dma_platform</td>\n",
       "      <td>1</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ULPI</td>\n",
       "      <td>undefined reference to `ulpi</td>\n",
       "      <td>1</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BLACKLIGHT2</td>\n",
       "      <td>error: ‘intel_backlight_device_register’</td>\n",
       "      <td>1</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>I2C_CLUSTER</td>\n",
       "      <td>error: implicit declaration of function ‘i2c_g...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>DEVM2</td>\n",
       "      <td>undefined reference to `devm_of_led</td>\n",
       "      <td>1</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>BPFFANCY</td>\n",
       "      <td>bpf-fancy</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               cluster                                      error message  \\\n",
       "12               AICDB                 aicdb.h: No such file or directory   \n",
       "9                AS68K                                   as68k: not found   \n",
       "10                 GEN                   undefined reference to `gen_pool   \n",
       "11             AIC7XXX       [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2   \n",
       "5            OVERFLOW2                                   __read_overflow2   \n",
       "4                 V4L2                       undefined reference to `v4l2   \n",
       "0           BLACKLIGHT           undefined reference to `backlight_device   \n",
       "8                  TTM                        undefined reference to `ttm   \n",
       "2   CONFIG_NLS_DEFAULT                                 CONFIG_NLS_DEFAULT   \n",
       "13  DRM_BRIDGE_CLUSTER       undefined reference to `drm_panel_bridge_add   \n",
       "14     PINCTRL_CLUSTER         [drivers/pinctrl/pinctrl-mcp23s08.o] Error   \n",
       "3        CRC32_CLUSTER                      undefined reference to `crc32   \n",
       "15               BTBCM           undefined reference to `btbcm_set_bdaddr   \n",
       "17                DEVM              undefined reference to `__devm_regmap   \n",
       "7                  PCM     undefined reference to `atmel_pcm_dma_platform   \n",
       "6                 ULPI                       undefined reference to `ulpi   \n",
       "1          BLACKLIGHT2           error: ‘intel_backlight_device_register’   \n",
       "18         I2C_CLUSTER  error: implicit declaration of function ‘i2c_g...   \n",
       "19               DEVM2                undefined reference to `devm_of_led   \n",
       "16            BPFFANCY                                          bpf-fancy   \n",
       "\n",
       "    nb_failures  percentage  \n",
       "12         2464       68.05  \n",
       "9           476       13.15  \n",
       "10          367       10.14  \n",
       "11          161        4.45  \n",
       "5            83        2.29  \n",
       "4            19        0.52  \n",
       "0            15        0.41  \n",
       "8            13        0.36  \n",
       "2             6        0.17  \n",
       "13            3        0.08  \n",
       "14            3        0.08  \n",
       "3             2        0.06  \n",
       "15            2        0.06  \n",
       "17            2        0.06  \n",
       "7             1        0.03  \n",
       "6             1        0.03  \n",
       "1             1        0.03  \n",
       "18            1        0.03  \n",
       "19            1        0.03  \n",
       "16            0        0.00  "
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "dfcluster = pd.DataFrame(columns=[\"cluster\", \"error message\"])\n",
    "i = 0\n",
    "for p in patterns:\n",
    "    dfcluster.loc[i] = p.name, patterns[p]\n",
    "    i = i + 1\n",
    "    \n",
    "# dfcluster\n",
    "#\n",
    "dfpatternfirst_frequencies = pd.DataFrame(columns=['nb_failures'], data=patternfirst_frequencies).rename_axis('cluster').reset_index()\n",
    "dfclusterfrequencies = pd.merge(dfcluster, dfpatternfirst_frequencies, on=\"cluster\", how=\"outer\")\n",
    "\n",
    "total_occurences = np.sum(dfclusterfrequencies['nb_failures'])\n",
    "\n",
    "dfclusterfrequencies['percentage'] = round((dfclusterfrequencies['nb_failures'] / total_occurences) * 100, 2)\n",
    "dfclusterfrequencies.sort_values(by='nb_failures', ascending=False)\n",
    "#dfpatternfirst_frequencies['cluster'] = dfpatternfirst_frequencies.index\n",
    "#dfpatternfirst_frequencies.reset_index(inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3621"
      ]
     },
     "execution_count": 247,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(dfclusterfrequencies['nb_failures'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('clusters.tex', 'w') as f:\n",
    "    f.write(dfclusterfrequencies.to_latex(index=False))\n",
    "\n",
    "with open('clusters-AM.csv', 'w') as f:\n",
    "    f.write(dfclusterfrequencies.to_csv())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\\\begin{tabular}{llrr}\\n\\\\toprule\\n            cluster &                                      error message &  nb\\\\_failures &  percentage \\\\\\\\\\n\\\\midrule\\n         BLACKLIGHT &           undefined reference to `backlight\\\\_device &           15 &        0.41 \\\\\\\\\\n        BLACKLIGHT2 &           error: ‘intel\\\\_backlight\\\\_device\\\\_register’ &            1 &        0.03 \\\\\\\\\\n CONFIG\\\\_NLS\\\\_DEFAULT &                                 CONFIG\\\\_NLS\\\\_DEFAULT &            6 &        0.17 \\\\\\\\\\n      CRC32\\\\_CLUSTER &                      undefined reference to `crc32 &            2 &        0.06 \\\\\\\\\\n               V4L2 &                       undefined reference to `v4l2 &           19 &        0.52 \\\\\\\\\\n          OVERFLOW2 &                                   \\\\_\\\\_read\\\\_overflow2 &           83 &        2.29 \\\\\\\\\\n               ULPI &                       undefined reference to `ulpi &            1 &        0.03 \\\\\\\\\\n                PCM &     undefined reference to `atmel\\\\_pcm\\\\_dma\\\\_platform &            1 &        0.03 \\\\\\\\\\n                TTM &                        undefined reference to `ttm &           13 &        0.36 \\\\\\\\\\n              AS68K &                                   as68k: not found &          476 &       13.15 \\\\\\\\\\n                GEN &                   undefined reference to `gen\\\\_pool &          367 &       10.14 \\\\\\\\\\n            AIC7XXX &       [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2 &          161 &        4.45 \\\\\\\\\\n              AICDB &                 aicdb.h: No such file or directory &         2464 &       68.05 \\\\\\\\\\n DRM\\\\_BRIDGE\\\\_CLUSTER &       undefined reference to `drm\\\\_panel\\\\_bridge\\\\_add &            3 &        0.08 \\\\\\\\\\n    PINCTRL\\\\_CLUSTER &         [drivers/pinctrl/pinctrl-mcp23s08.o] Error &            3 &        0.08 \\\\\\\\\\n              BTBCM &           undefined reference to `btbcm\\\\_set\\\\_bdaddr &            2 &        0.06 \\\\\\\\\\n           BPFFANCY &                                          bpf-fancy &            0 &        0.00 \\\\\\\\\\n               DEVM &              undefined reference to `\\\\_\\\\_devm\\\\_regmap &            2 &        0.06 \\\\\\\\\\n        I2C\\\\_CLUSTER &  error: implicit declaration of function ‘i2c\\\\_g... &            1 &        0.03 \\\\\\\\\\n              DEVM2 &                undefined reference to `devm\\\\_of\\\\_led &            1 &        0.03 \\\\\\\\\\n\\\\bottomrule\\n\\\\end{tabular}\\n'"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfclusterfrequencies.to_latex(index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "rawtuxdata.fillna(-1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None,\n",
       "            max_features=None, max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n",
       "            splitter='best')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import tree\n",
    "\n",
    "\n",
    "TESTING_SIZE= 0.001 #0.99 # 0.001 # 0.9\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    rawtuxdata\n",
    "    .drop(columns=[\"cid\"])\n",
    "    # .drop(columns=size_methods)\n",
    "    .drop(columns=compilation_status_column_name), \n",
    "    rawtuxdata[compilation_status_column_name], test_size=TESTING_SIZE, random_state=0)  \n",
    "clf = tree.DecisionTreeClassifier() #GradientBoostingClassifier(n_estimators=100) #RandomForestRegressor(n_estimators=100) #   #GradientBoostingRegressor(n_estimators=100)  \n",
    "clf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 1.0\n",
      "Precision score: 1.0\n",
      "Recall score: 1.0\n",
      "F1 score: 1.0\n",
      "Balanced accuracy score: 1.0\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, balanced_accuracy_score\n",
    "\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "acc = accuracy_score (y_test, y_pred)\n",
    "prec = precision_score (y_test, y_pred)\n",
    "reca = recall_score (y_test, y_pred)\n",
    "f1 = f1_score (y_test, y_pred)\n",
    "balance_acc = balanced_accuracy_score (y_test, y_pred)\n",
    "print(\"Accuracy score:\", acc)\n",
    "print(\"Precision score:\", prec)\n",
    "print(\"Recall score:\", reca)\n",
    "print(\"F1 score:\", f1)\n",
    "print(\"Balanced accuracy score:\", balance_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "del X_train\n",
    "del X_test \n",
    "del y_train \n",
    "del y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "import graphviz \n",
    "\n",
    "def printTree(clf, feature_names):\n",
    "    dot_data = tree.export_graphviz(clf, out_file=None, \n",
    "                         feature_names=feature_names,  \n",
    "                         filled=True, rounded=True,\n",
    "                         special_characters=True)  \n",
    "    graph = graphviz.Source(dot_data)  \n",
    "    graph.render(\"TUXML_compilation_failures\")\n",
    "    \n",
    "# printTree(clf, rawtuxdata.drop(columns=[\"cid\"]).drop(columns=size_methods).drop(columns=compilation_status_column_name).columns)\n",
    "printTree(clf, rawtuxdata.drop(columns=[\"cid\"]).drop(columns=compilation_status_column_name).columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>compile_success</th>\n",
       "      <th>INITRAMFS_SOURCE</th>\n",
       "      <th>cid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [compile_success, INITRAMFS_SOURCE, cid]\n",
       "Index: []"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata.query(\"AIC79XX_BUILD_FIRMWARE == 1 & VIDEO_SAA7134_GO7007 == 2 & VFIO_PCI_INTX == 1\")[[compilation_status_column_name, 'INITRAMFS_SOURCE']]\n",
    "\n",
    "rawtuxdata.query(\"AIC79XX_BUILD_FIRMWARE == 1 & \" + compilation_status_column_name + \" == 1\")[[compilation_status_column_name, 'INITRAMFS_SOURCE', 'cid']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI <= 0.5 & NFS_V2 <= 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI <= 0.5 & NFS_V2 > 0.5 ---> [[0. 7.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI > 0.5 & WIL6210_TRACING <= 0.5 & INFINIBAND_ISERT <= 1.5 & SPI_SH_MSIOF <= 0.5 & AD525X_DPOT_I2C <= 1.5 ---> [[ 0. 28.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI > 0.5 & WIL6210_TRACING <= 0.5 & INFINIBAND_ISERT <= 1.5 & SPI_SH_MSIOF <= 0.5 & AD525X_DPOT_I2C > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI > 0.5 & WIL6210_TRACING <= 0.5 & INFINIBAND_ISERT <= 1.5 & SPI_SH_MSIOF > 0.5 & RT_MUTEXES <= 0.5 & USB_CONFIGFS_F_TCM <= 0.5 ---> [[ 0. 51.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI > 0.5 & WIL6210_TRACING <= 0.5 & INFINIBAND_ISERT <= 1.5 & SPI_SH_MSIOF > 0.5 & RT_MUTEXES <= 0.5 & USB_CONFIGFS_F_TCM > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI > 0.5 & WIL6210_TRACING <= 0.5 & INFINIBAND_ISERT <= 1.5 & SPI_SH_MSIOF > 0.5 & RT_MUTEXES > 0.5 ---> [[   0. 4719.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI > 0.5 & WIL6210_TRACING <= 0.5 & INFINIBAND_ISERT > 1.5 & SENSORS_LM87 <= 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI > 0.5 & WIL6210_TRACING <= 0.5 & INFINIBAND_ISERT > 1.5 & SENSORS_LM87 > 1.5 ---> [[ 0. 10.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI > 0.5 & WIL6210_TRACING > 0.5 & RCU_NEED_SEGCBLIST <= 0.5 ---> [[0. 7.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI > 0.5 & WIL6210_TRACING > 0.5 & RCU_NEED_SEGCBLIST > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN > 0.5 & TEST_SYSCTL <= 0.5 & MCP4531 <= 1.5 ---> [[2. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN > 0.5 & TEST_SYSCTL <= 0.5 & MCP4531 > 1.5 ---> [[0. 1.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN > 0.5 & TEST_SYSCTL > 0.5 & XEN_BACKEND <= 0.5 ---> [[ 0. 44.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN > 0.5 & TEST_SYSCTL > 0.5 & XEN_BACKEND > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO > 1.5 ---> [[369.   0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC <= 0.5 & VIDEO_MUX <= 1.5 & SND_AT91_SOC_SAM9G20_WM8731 <= 1.5 ---> [[  0. 360.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC <= 0.5 & VIDEO_MUX <= 1.5 & SND_AT91_SOC_SAM9G20_WM8731 > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC <= 0.5 & VIDEO_MUX > 1.5 & VIDEO_V4L2 <= 1.0 ---> [[13.  0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC <= 0.5 & VIDEO_MUX > 1.5 & VIDEO_V4L2 > 1.0 ---> [[ 0. 59.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 <= 0.5 & MCP4725 <= 1.5 ---> [[ 0. 36.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 <= 0.5 & MCP4725 > 1.5 ---> [[2. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS <= 0.5 & DVB_DUMMY_FE <= 1.5 ---> [[ 0. 43.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS <= 0.5 & DVB_DUMMY_FE > 1.5 ---> [[2. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN <= 0.5 & SND_MXS_SOC <= 1.5 & INTEGRITY_ASYMMETRIC_KEYS <= 0.5 ---> [[ 0. 87.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN <= 0.5 & SND_MXS_SOC <= 1.5 & INTEGRITY_ASYMMETRIC_KEYS > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN <= 0.5 & SND_MXS_SOC > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY <= 1.5 & CAN_PEAK_USB <= 1.5 & VIDEO_STI_DELTA_DRIVER <= 1.5 & DRM_R128 <= 1.5 ---> [[   0. 1222.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY <= 1.5 & CAN_PEAK_USB <= 1.5 & VIDEO_STI_DELTA_DRIVER <= 1.5 & DRM_R128 > 1.5 & BACKLIGHT_CLASS_DEVICE <= 1.0 & TCP_CONG_WESTWOOD <= 1.5 ---> [[2. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY <= 1.5 & CAN_PEAK_USB <= 1.5 & VIDEO_STI_DELTA_DRIVER <= 1.5 & DRM_R128 > 1.5 & BACKLIGHT_CLASS_DEVICE <= 1.0 & TCP_CONG_WESTWOOD > 1.5 ---> [[0. 1.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY <= 1.5 & CAN_PEAK_USB <= 1.5 & VIDEO_STI_DELTA_DRIVER <= 1.5 & DRM_R128 > 1.5 & BACKLIGHT_CLASS_DEVICE > 1.0 ---> [[ 0. 43.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY <= 1.5 & CAN_PEAK_USB <= 1.5 & VIDEO_STI_DELTA_DRIVER > 1.5 & GPIO_SCH <= 1.5 ---> [[0. 4.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY <= 1.5 & CAN_PEAK_USB <= 1.5 & VIDEO_STI_DELTA_DRIVER > 1.5 & GPIO_SCH > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY <= 1.5 & CAN_PEAK_USB > 1.5 & SND_SOC_SGTL5000 <= 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY <= 1.5 & CAN_PEAK_USB > 1.5 & SND_SOC_SGTL5000 > 0.5 ---> [[0. 3.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY > 1.5 & MTD_DOCG3 <= 0.5 ---> [[0. 1.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY > 1.5 & MTD_DOCG3 > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB <= 0.5 & DRM_I2C_NXP_TDA998X <= 1.5 & USB_STORAGE_REALTEK <= 1.5 ---> [[  0. 120.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB <= 0.5 & DRM_I2C_NXP_TDA998X <= 1.5 & USB_STORAGE_REALTEK > 1.5 & LEDS_TRIGGER_MTD <= 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB <= 0.5 & DRM_I2C_NXP_TDA998X <= 1.5 & USB_STORAGE_REALTEK > 1.5 & LEDS_TRIGGER_MTD > 0.5 ---> [[0. 1.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB <= 0.5 & DRM_I2C_NXP_TDA998X > 1.5 & F2FS_STAT_FS <= 0.5 ---> [[0. 4.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB <= 0.5 & DRM_I2C_NXP_TDA998X > 1.5 & F2FS_STAT_FS > 0.5 ---> [[3. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB > 0.5 & SND_SOC_INTEL_KBL_RT5663_RT5514_MAX98927_MACH <= 1.5 & MMC_SDHCI_PXAV2 <= 1.5 & MTD_SBC_GXX <= 1.5 ---> [[   0. 3629.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB > 0.5 & SND_SOC_INTEL_KBL_RT5663_RT5514_MAX98927_MACH <= 1.5 & MMC_SDHCI_PXAV2 <= 1.5 & MTD_SBC_GXX > 1.5 & SATA_VIA <= 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB > 0.5 & SND_SOC_INTEL_KBL_RT5663_RT5514_MAX98927_MACH <= 1.5 & MMC_SDHCI_PXAV2 <= 1.5 & MTD_SBC_GXX > 1.5 & SATA_VIA > 0.5 ---> [[ 0. 31.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB > 0.5 & SND_SOC_INTEL_KBL_RT5663_RT5514_MAX98927_MACH <= 1.5 & MMC_SDHCI_PXAV2 > 1.5 & JOYSTICK_WARRIOR <= 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB > 0.5 & SND_SOC_INTEL_KBL_RT5663_RT5514_MAX98927_MACH <= 1.5 & MMC_SDHCI_PXAV2 > 1.5 & JOYSTICK_WARRIOR > 0.5 ---> [[ 0. 18.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB > 0.5 & SND_SOC_INTEL_KBL_RT5663_RT5514_MAX98927_MACH > 1.5 & EVM <= 0.5 ---> [[0. 9.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB > 0.5 & SND_SOC_INTEL_KBL_RT5663_RT5514_MAX98927_MACH > 1.5 & EVM > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE > 1.5 & DVB_AF9013 <= 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE > 1.5 & DVB_AF9013 > 0.5 ---> [[0. 6.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX > 1.5 & FB_TFT_ST7735R <= 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX > 1.5 & FB_TFT_ST7735R > 0.5 ---> [[0. 3.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 > 1.5 & LCD_S6E63M0 <= 1.0 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 > 1.5 & LCD_S6E63M0 > 1.0 ---> [[0. 1.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA <= 1.5 & TCM_USER2 <= 1.5 & SCSI_AIC94XX <= 1.5 & ZRAM <= 1.5 ---> [[   0. 2480.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA <= 1.5 & TCM_USER2 <= 1.5 & SCSI_AIC94XX <= 1.5 & ZRAM > 1.5 & CRYPTO_RMD128 <= 1.5 ---> [[0. 7.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA <= 1.5 & TCM_USER2 <= 1.5 & SCSI_AIC94XX <= 1.5 & ZRAM > 1.5 & CRYPTO_RMD128 > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA <= 1.5 & TCM_USER2 <= 1.5 & SCSI_AIC94XX > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA <= 1.5 & TCM_USER2 > 1.5 & NLS_MAC_GAELIC <= 0.5 ---> [[0. 1.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA <= 1.5 & TCM_USER2 > 1.5 & NLS_MAC_GAELIC > 0.5 ---> [[2. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA > 1.5 ---> [[2. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC <= 0.5 & SND_PDAUDIOCF <= 1.5 & PTP_1588_CLOCK_GIANFAR <= 0.5 & MAC802154 <= 1.5 ---> [[0. 3.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC <= 0.5 & SND_PDAUDIOCF <= 1.5 & PTP_1588_CLOCK_GIANFAR <= 0.5 & MAC802154 > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC <= 0.5 & SND_PDAUDIOCF <= 1.5 & PTP_1588_CLOCK_GIANFAR > 0.5 & CAN_PEAK_PCIEFD <= 1.5 ---> [[  0. 688.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC <= 0.5 & SND_PDAUDIOCF <= 1.5 & PTP_1588_CLOCK_GIANFAR > 0.5 & CAN_PEAK_PCIEFD > 1.5 & SENSORS_LM93 <= 1.5 ---> [[0. 8.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC <= 0.5 & SND_PDAUDIOCF <= 1.5 & PTP_1588_CLOCK_GIANFAR > 0.5 & CAN_PEAK_PCIEFD > 1.5 & SENSORS_LM93 > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC <= 0.5 & SND_PDAUDIOCF > 1.5 & SND_JACK_INPUT_DEV <= 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC <= 0.5 & SND_PDAUDIOCF > 1.5 & SND_JACK_INPUT_DEV > 0.5 ---> [[0. 2.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO <= 0.5 & SND_SOC_GTM601 <= 1.5 & PINCTRL_AS3722 <= 1.5 ---> [[  0. 786.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO <= 0.5 & SND_SOC_GTM601 <= 1.5 & PINCTRL_AS3722 > 1.5 & CHARGER_SMB347 <= 1.5 ---> [[0. 1.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO <= 0.5 & SND_SOC_GTM601 <= 1.5 & PINCTRL_AS3722 > 1.5 & CHARGER_SMB347 > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO <= 0.5 & SND_SOC_GTM601 > 1.5 ---> [[2. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN <= 0.5 & SND_AZT3328 <= 1.5 ---> [[  0. 115.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN <= 0.5 & SND_AZT3328 > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM <= 0.5 & VIDEO_SOLO6X10 <= 1.5 & USB_CHIPIDEA_PCI <= 1.5 & VIDEO_LM3646 <= 1.5 ---> [[   0. 1140.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM <= 0.5 & VIDEO_SOLO6X10 <= 1.5 & USB_CHIPIDEA_PCI <= 1.5 & VIDEO_LM3646 > 1.5 & REGULATOR_RN5T618 <= 1.5 ---> [[ 0. 18.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM <= 0.5 & VIDEO_SOLO6X10 <= 1.5 & USB_CHIPIDEA_PCI <= 1.5 & VIDEO_LM3646 > 1.5 & REGULATOR_RN5T618 > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM <= 0.5 & VIDEO_SOLO6X10 <= 1.5 & USB_CHIPIDEA_PCI > 1.5 & USB_F_MASS_STORAGE <= 1.5 ---> [[ 0. 10.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM <= 0.5 & VIDEO_SOLO6X10 <= 1.5 & USB_CHIPIDEA_PCI > 1.5 & USB_F_MASS_STORAGE > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM <= 0.5 & VIDEO_SOLO6X10 > 1.5 & 60XX_WDT <= 0.5 ---> [[0. 1.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM <= 0.5 & VIDEO_SOLO6X10 > 1.5 & 60XX_WDT > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 <= 0.5 & USB_MUSB_GADGET <= 0.5 & VIPERBOARD_ADC <= 1.5 ---> [[   0. 1146.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 <= 0.5 & USB_MUSB_GADGET <= 0.5 & VIPERBOARD_ADC > 1.5 & KARMA_PARTITION <= 0.5 ---> [[ 0. 12.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 <= 0.5 & USB_MUSB_GADGET <= 0.5 & VIPERBOARD_ADC > 1.5 & KARMA_PARTITION > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 <= 0.5 & USB_MUSB_GADGET > 0.5 & DRM_I915 <= 1.5 ---> [[ 0. 24.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 <= 0.5 & USB_MUSB_GADGET > 0.5 & DRM_I915 > 1.5 ---> [[2. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS <= 1.5 & CHARGER_AXP20X <= 1.5 & DVB_BUDGET <= 1.5 ---> [[   0. 3449.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS <= 1.5 & CHARGER_AXP20X <= 1.5 & DVB_BUDGET > 1.5 & SERIAL_CLPS711X_CONSOLE <= 0.5 ---> [[ 0. 26.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS <= 1.5 & CHARGER_AXP20X <= 1.5 & DVB_BUDGET > 1.5 & SERIAL_CLPS711X_CONSOLE > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS <= 1.5 & CHARGER_AXP20X > 1.5 & GPIO_WHISKEY_COVE <= 1.5 ---> [[ 0. 25.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS <= 1.5 & CHARGER_AXP20X > 1.5 & GPIO_WHISKEY_COVE > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS > 1.5 & FSI_MASTER_HUB <= 1.5 ---> [[ 0. 21.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS > 1.5 & FSI_MASTER_HUB > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 > 1.5 & DM_PERSISTENT_DATA <= 1.5 ---> [[0. 9.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 > 1.5 & DM_PERSISTENT_DATA > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR <= 1.5 & SND_AT73C213 <= 0.5 & IMA_READ_POLICY <= 0.5 ---> [[  0. 578.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR <= 1.5 & SND_AT73C213 <= 0.5 & IMA_READ_POLICY > 0.5 & SI1145 <= 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR <= 1.5 & SND_AT73C213 <= 0.5 & IMA_READ_POLICY > 0.5 & SI1145 > 0.5 ---> [[0. 9.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR <= 1.5 & SND_AT73C213 > 0.5 & VIDEO_SOLO6X10 <= 1.5 ---> [[    0. 64638.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR <= 1.5 & SND_AT73C213 > 0.5 & VIDEO_SOLO6X10 > 1.5 & MEMCG_SWAP_ENABLED <= 0.5 ---> [[   0. 1156.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR <= 1.5 & SND_AT73C213 > 0.5 & VIDEO_SOLO6X10 > 1.5 & MEMCG_SWAP_ENABLED > 0.5 & SERIAL_KGDB_NMI <= 0.5 ---> [[ 0. 28.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR <= 1.5 & SND_AT73C213 > 0.5 & VIDEO_SOLO6X10 > 1.5 & MEMCG_SWAP_ENABLED > 0.5 & SERIAL_KGDB_NMI > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR > 1.5 & GPIOLIB <= 0.5 & FB_S1D13XXX <= 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR > 1.5 & GPIOLIB <= 0.5 & FB_S1D13XXX > 1.5 ---> [[0. 4.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR > 1.5 & GPIOLIB > 0.5 ---> [[  0. 250.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK > 1.5 & USB_GSPCA_OV534 <= 1.5 ---> [[  0. 180.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK > 1.5 & USB_GSPCA_OV534 > 1.5 & GCC_PLUGIN_CYC_COMPLEXITY <= 0.5 ---> [[0. 4.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK > 1.5 & USB_GSPCA_OV534 > 1.5 & GCC_PLUGIN_CYC_COMPLEXITY > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS <= 0.5 & I40EVF <= 0.5 & SND_MIA <= 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS <= 0.5 & I40EVF <= 0.5 & SND_MIA > 0.5 ---> [[0. 9.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS <= 0.5 & I40EVF > 0.5 & VIDEO_XILINX_TPG <= 0.5 & SOLARIS_X86_PARTITION <= 0.5 ---> [[ 0. 16.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS <= 0.5 & I40EVF > 0.5 & VIDEO_XILINX_TPG <= 0.5 & SOLARIS_X86_PARTITION > 0.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS <= 0.5 & I40EVF > 0.5 & VIDEO_XILINX_TPG > 0.5 ---> [[   0. 4579.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE <= 0.5 ---> [[  0. 231.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 <= 1.5 & IPV6 <= 0.5 ---> [[ 0. 36.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 <= 1.5 & IPV6 > 0.5 & UBSAN_NULL <= 0.5 & UBSAN_ALIGNMENT <= 0.5 ---> [[ 0. 22.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 <= 1.5 & IPV6 > 0.5 & UBSAN_NULL <= 0.5 & UBSAN_ALIGNMENT > 0.5 ---> [[24.  0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 <= 1.5 & IPV6 > 0.5 & UBSAN_NULL > 0.5 ---> [[46.  0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 > 1.5 & PTP_1588_CLOCK_KVM <= 1.5 ---> [[  0. 118.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 > 1.5 & PTP_1588_CLOCK_KVM > 1.5 ---> [[1. 0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE > 0.5 ---> [[421.   0.]]\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE > 0.5 ---> [[1073.    0.]]\n",
      "AIC79XX_BUILD_FIRMWARE > 0.5 ---> [[1612.    0.]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.tree import _tree\n",
    "\n",
    "def tree_to_rules(tree, feature_names):\n",
    "    tree_ = tree.tree_\n",
    "    feature_name = [\n",
    "        feature_names[i] if i != _tree.TREE_UNDEFINED else \"undefined!\"\n",
    "        for i in tree_.feature\n",
    "    ]\n",
    "    #print (\"def tree({}):\".format(\", \".join(feature_names)))\n",
    "\n",
    "    def recurse(node, previous_rules):\n",
    "        if tree_.feature[node] != _tree.TREE_UNDEFINED:\n",
    "            name = feature_name[node]\n",
    "            threshold = tree_.threshold[node]\n",
    "            #print (\"{}if {} <= {}:\".format(indent, name, threshold))\n",
    "            recurse(tree_.children_left[node], previous_rules+[name + \" <= \" + str(threshold)])\n",
    "            #print (\"{}else:  # if {} > {}\".format(indent, name, threshold))\n",
    "            recurse(tree_.children_right[node], previous_rules+[name + \" > \" + str(threshold)])\n",
    "        else:\n",
    "            print(\" & \".join(previous_rules) + \" ---> \" + str(tree_.value[node]))\n",
    "\n",
    "    recurse(0, [])\n",
    "    \n",
    "#tree_to_rules(clf, rawtuxdata.drop(columns=[\"cid\"]).drop(columns=size_methods).drop(columns=compilation_status_column_name).columns)\n",
    "tree_to_rules(clf, rawtuxdata.drop(columns=[\"cid\"]).drop(columns=compilation_status_column_name).columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tree_to_failure_rules(tree, feature_names):\n",
    "    tree_ = tree.tree_\n",
    "    feature_name = [\n",
    "        feature_names[i] if i != _tree.TREE_UNDEFINED else \"undefined!\"\n",
    "        for i in tree_.feature\n",
    "    ]\n",
    "    #print (\"def tree({}):\".format(\", \".join(feature_names)))\n",
    "\n",
    "    def recurse(node, previous_rules, acc):\n",
    "        if tree_.feature[node] != _tree.TREE_UNDEFINED:\n",
    "            name = feature_name[node]\n",
    "            threshold = tree_.threshold[node]\n",
    "            #print (\"{}if {} <= {}:\".format(indent, name, threshold))\n",
    "            recurse(tree_.children_left[node], previous_rules+[name + \" <= \" + str(threshold)], acc)\n",
    "            #print (\"{}else:  # if {} > {}\".format(indent, name, threshold))\n",
    "            recurse(tree_.children_right[node], previous_rules+[name + \" > \" + str(threshold)], acc)\n",
    "        else:\n",
    "            if tree_.value[node][0][0] > tree_.value[node][0][1]:\n",
    "                #print(\" & \".join(previous_rules) + \" ---> \" + str(tree_.value[node]))\n",
    "                acc.append(\" & \".join(previous_rules))\n",
    "\n",
    "    acc = []\n",
    "    recurse(0, [], acc)\n",
    "    return acc\n",
    "    \n",
    "# all_paths = tree_to_failure_rules(clf, rawtuxdata.drop(columns=[\"cid\"]).drop(columns=size_methods).drop(columns=compilation_status_column_name).columns)\n",
    "all_paths = tree_to_failure_rules(clf, rawtuxdata.drop(columns=[\"cid\"]).drop(columns=compilation_status_column_name).columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO <= 0.5 & SND_SOC_GTM601 > 1.5'"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "    \n",
    "def find_rule_for_configuration(tree, feature_names, configuration):\n",
    "    tree_ = tree.tree_\n",
    "    feature_name = [\n",
    "        feature_names[i] if i != _tree.TREE_UNDEFINED else \"undefined!\"\n",
    "        for i in tree_.feature\n",
    "    ]\n",
    "    \n",
    "    def recurse(node, previous_rules, configuration):\n",
    "        if tree_.feature[node] != _tree.TREE_UNDEFINED:\n",
    "            name = feature_name[node]\n",
    "            threshold = tree_.threshold[node]\n",
    "            #print (\"{}if {} <= {}:\".format(indent, name, threshold))\n",
    "            if configuration[name] <= threshold:\n",
    "                return recurse(tree_.children_left[node], previous_rules+[name + \" <= \" + str(threshold)], configuration)\n",
    "            #print (\"{}else:  # if {} > {}\".format(indent, name, threshold))\n",
    "            else:\n",
    "                return recurse(tree_.children_right[node], previous_rules+[name + \" > \" + str(threshold)], configuration)\n",
    "        else:\n",
    "            #if tree_.value[node][0][0] > tree_.value[node][0][1]:\n",
    "            #print(\" & \".join(previous_rules))\n",
    "            return \" & \".join(previous_rules)\n",
    "       \n",
    "    return recurse(0, [], configuration)\n",
    "    \n",
    "def find_rule_for_configuration_id(cid):\n",
    "    # return find_rule_for_configuration(clf, rawtuxdata.drop(columns=[\"cid\"]).drop(columns=size_methods).drop(columns=compilation_status_column_name).columns, rawtuxdata.query(\"cid == \" + str(cid)).iloc[0]) \n",
    "    return find_rule_for_configuration(clf, rawtuxdata.drop(columns=[\"cid\"]).drop(columns=compilation_status_column_name).columns, rawtuxdata.query(\"cid == \" + str(cid)).iloc[0]) \n",
    "\n",
    "find_rule_for_configuration_id(92072)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3108, 12638)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata.query(\"AIC7XXX_BUILD_FIRMWARE == 1 | AIC79XX_BUILD_FIRMWARE == 1 | WANXL_BUILD_FIRMWARE == 1\").shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0])"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata.query(\"(AIC7XXX_BUILD_FIRMWARE == 0 & AIC79XX_BUILD_FIRMWARE == 0) & WANXL_BUILD_FIRMWARE == 1\")['compile_success'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(513, 12638)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata.query(\"AIC7XXX_BUILD_FIRMWARE == 0 & AIC79XX_BUILD_FIRMWARE == 0 & WANXL_BUILD_FIRMWARE == 0 & compile_success == False\").shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "generic allocator bug with firmwares' failures (13, 12638)\n",
      "\n",
      "\n",
      "###### configuration id 30901\n",
      "ErrorLog.AIC7XXX\n",
      "make[4]: flex: Command not found\n",
      "make[4]: *** [/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_scan.c] Error 127\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 36364\n",
      "ErrorLog.AS68K\n",
      "In file included from ./include/linux/uaccess.h:13:0,\n",
      "                 from ./include/linux/highmem.h:8,\n",
      "                 from fs/binfmt_elf.c:28:\n",
      "fs/binfmt_elf.c: In function 'create_elf_tables':\n",
      "./arch/x86/include/asm/uaccess_64.h:143:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(4[(u16 *)src], 4 + (u16 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "./arch/x86/include/asm/uaccess_64.h:143:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(4[(u16 *)src], 4 + (u16 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "./arch/x86/include/asm/uaccess_64.h:154:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(1[(u64 *)src], 1 + (u64 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "./arch/x86/include/asm/uaccess_64.h:154:20: warning: array subscript is above array bounds [-Warray-bounds]\n",
      "    __put_user_asm(1[(u64 *)src], 1 + (u64 __user *)dst,\n",
      "                    ^\n",
      "./arch/x86/include/asm/uaccess.h:468:16: note: in definition of macro '__put_user_asm'\n",
      "        : ltype(x), \"m\" (__m(addr)), \"i\" (errret), \"0\" (err))\n",
      "                ^\n",
      "drivers/gpu/drm/radeon/radeon_object.c: In function 'radeon_bo_create':\n",
      "drivers/gpu/drm/radeon/radeon_object.c:242:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\n",
      " #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\n",
      "  ^~~~~~~\n",
      "/bin/sh: 1: as68k: not found\n",
      "make[3]: *** [drivers/net/wan/wanxlfw.inc] Error 127\n",
      "make[2]: *** [drivers/net/wan] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/net] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 37341\n",
      "ErrorLog.AICDB\n",
      "ErrorLog.AIC7XXX\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 40757\n",
      "ErrorLog.AICDB\n",
      "ErrorLog.AIC7XXX\n",
      "drivers/gpu/drm/radeon/radeon_object.c: In function 'radeon_bo_create':\n",
      "drivers/gpu/drm/radeon/radeon_object.c:242:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\n",
      " #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\n",
      "  ^~~~~~~\n",
      "drivers/gpu/drm/radeon/radeon_object.c:242:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\n",
      " #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\n",
      "  ^~~~~~~\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 48193\n",
      "ErrorLog.AICDB\n",
      "ErrorLog.AIC7XXX\n",
      "kernel/sysctl_binary.c: In function 'SYSC_sysctl':\n",
      "kernel/sysctl_binary.c:1413:23: note: userspace variable will be forcibly initialized\n",
      "  struct __sysctl_args tmp;\n",
      "                       ^~~\n",
      "kernel/ptrace.c: In function 'ptrace_peek_siginfo':\n",
      "kernel/ptrace.c:712:13: note: userspace variable will be forcibly initialized\n",
      "   siginfo_t info;\n",
      "             ^~~~\n",
      "kernel/ptrace.c: In function 'ptrace_request':\n",
      "kernel/ptrace.c:1076:16: note: userspace variable will be forcibly initialized\n",
      "   struct iovec kiov;\n",
      "                ^~~~\n",
      "kernel/ptrace.c:890:12: note: userspace variable will be forcibly initialized\n",
      "  siginfo_t siginfo, *si;\n",
      "            ^~~~~~~\n",
      "kernel/signal.c: In function 'SYSC_sigaltstack':\n",
      "kernel/signal.c:3209:15: note: userspace variable will be forcibly initialized\n",
      "  stack_t new, old;\n",
      "               ^~~\n",
      "kernel/signal.c:3209:10: note: userspace variable will be forcibly initialized\n",
      "  stack_t new, old;\n",
      "          ^~~\n",
      "kernel/signal.c: In function 'do_notify_parent_cldstop':\n",
      "kernel/signal.c:1706:17: note: userspace variable will be forcibly initialized\n",
      "  struct siginfo info;\n",
      "                 ^~~~\n",
      "kernel/signal.c: In function 'ptrace_do_notify':\n",
      "kernel/signal.c:1929:12: note: userspace variable will be forcibly initialized\n",
      "  siginfo_t info;\n",
      "            ^~~~\n",
      "kernel/signal.c: In function 'SYSC_rt_tgsigqueueinfo':\n",
      "kernel/signal.c:3071:12: note: userspace variable will be forcibly initialized\n",
      "  siginfo_t info;\n",
      "            ^~~~\n",
      "kernel/signal.c: In function 'SYSC_kill':\n",
      "kernel/signal.c:2917:17: note: userspace variable will be forcibly initialized\n",
      "  struct siginfo info;\n",
      "                 ^~~~\n",
      "kernel/signal.c: In function 'SYSC_rt_sigqueueinfo':\n",
      "kernel/signal.c:3030:12: note: userspace variable will be forcibly initialized\n",
      "  siginfo_t info;\n",
      "            ^~~~\n",
      "kernel/signal.c: In function 'do_notify_parent':\n",
      "kernel/signal.c:1602:17: note: userspace variable will be forcibly initialized\n",
      "  struct siginfo info;\n",
      "                 ^~~~\n",
      "In file included from arch/x86/entry/common.c:17:0:\n",
      "arch/x86/entry/common.c: In function 'tracehook_report_syscall_exit':\n",
      "./include/linux/tracehook.h:126:13: note: userspace variable will be forcibly initialized\n",
      "   siginfo_t info;\n",
      "             ^~~~\n",
      "kernel/signal.c: In function 'SYSC_rt_sigtimedwait':\n",
      "kernel/signal.c:2851:12: note: userspace variable will be forcibly initialized\n",
      "  siginfo_t info;\n",
      "            ^~~~\n",
      "kernel/signal.c: In function 'restore_altstack':\n",
      "kernel/signal.c:3222:10: note: userspace variable will be forcibly initialized\n",
      "  stack_t new;\n",
      "          ^~~\n",
      "arch/x86/entry/vsyscall/vsyscall_64.c: In function 'write_ok_or_segv':\n",
      "arch/x86/entry/vsyscall/vsyscall_64.c:105:13: note: userspace variable will be forcibly initialized\n",
      "   siginfo_t info;\n",
      "             ^~~~\n",
      "arch/x86/kernel/signal.c: In function 'do_signal':\n",
      "arch/x86/kernel/signal.c:806:17: note: userspace variable will be forcibly initialized\n",
      "  struct ksignal ksig;\n",
      "                 ^~~~\n",
      "arch/x86/kernel/traps.c: In function 'math_error':\n",
      "arch/x86/kernel/traps.c:827:12: note: userspace variable will be forcibly initialized\n",
      "  siginfo_t info;\n",
      "            ^~~~\n",
      "arch/x86/kernel/traps.c: In function 'do_error_trap':\n",
      "arch/x86/kernel/traps.c:303:12: note: userspace variable will be forcibly initialized\n",
      "  siginfo_t info;\n",
      "            ^~~~\n",
      "arch/x86/mm/fault.c: In function 'force_sig_info_fault':\n",
      "arch/x86/mm/fault.c:231:12: note: userspace variable will be forcibly initialized\n",
      "  siginfo_t info;\n",
      "            ^~~~\n",
      "In file included from fs/read_write.c:12:0:\n",
      "fs/read_write.c: In function 'iov_iter_iovec':\n",
      "./include/linux/uio.h:69:9: note: userspace variable will be forcibly initialized\n",
      "  return (struct iovec) {\n",
      "         ^\n",
      "fs/read_write.c: In function 'new_sync_read':\n",
      "fs/read_write.c:391:15: note: userspace variable will be forcibly initialized\n",
      "  struct iovec iov = { .iov_base = buf, .iov_len = len };\n",
      "               ^~~\n",
      "fs/read_write.c: In function 'new_sync_write':\n",
      "fs/read_write.c:448:15: note: userspace variable will be forcibly initialized\n",
      "  struct iovec iov = { .iov_base = (void __user *)buf, .iov_len = len };\n",
      "               ^~~\n",
      "In file included from fs/read_write.c:12:0:\n",
      "fs/read_write.c: In function 'do_loop_readv_writev':\n",
      "./include/linux/uio.h:69:9: note: userspace variable will be forcibly initialized\n",
      "  return (struct iovec) {\n",
      "         ^\n",
      "fs/read_write.c:666:16: note: userspace variable will be forcibly initialized\n",
      "   struct iovec iovec = iov_iter_iovec(iter);\n",
      "                ^~~~~\n",
      "fs/exec.c: In function 'count':\n",
      "fs/exec.c:465:12: note: userspace variable will be forcibly initialized\n",
      " static int count(struct user_arg_ptr argv, int max)\n",
      "            ^~~~~\n",
      "fs/exec.c: In function 'copy_strings':\n",
      "fs/exec.c:496:12: note: userspace variable will be forcibly initialized\n",
      " static int copy_strings(int argc, struct user_arg_ptr argv,\n",
      "            ^~~~~~~~~~~~\n",
      "fs/exec.c: In function 'copy_strings_kernel':\n",
      "fs/exec.c:592:22: note: userspace variable will be forcibly initialized\n",
      "  struct user_arg_ptr argv = {\n",
      "                      ^~~~\n",
      "fs/exec.c: In function 'do_execveat_common':\n",
      "fs/exec.c:592:22: note: userspace variable will be forcibly initialized\n",
      "fs/exec.c: In function 'do_execve':\n",
      "fs/exec.c:1833:22: note: userspace variable will be forcibly initialized\n",
      "  struct user_arg_ptr envp = { .ptr.native = __envp };\n",
      "                      ^~~~\n",
      "fs/exec.c:1832:22: note: userspace variable will be forcibly initialized\n",
      "  struct user_arg_ptr argv = { .ptr.native = __argv };\n",
      "                      ^~~~\n",
      "fs/exec.c: In function 'SYSC_execve':\n",
      "fs/exec.c:1832:22: note: userspace variable will be forcibly initialized\n",
      "fs/exec.c:1833:22: note: userspace variable will be forcibly initialized\n",
      "  struct user_arg_ptr envp = { .ptr.native = __envp };\n",
      "                      ^~~~\n",
      "fs/exec.c: In function 'do_execveat':\n",
      "fs/exec.c:1843:22: note: userspace variable will be forcibly initialized\n",
      "  struct user_arg_ptr envp = { .ptr.native = __envp };\n",
      "                      ^~~~\n",
      "fs/exec.c:1842:22: note: userspace variable will be forcibly initialized\n",
      "  struct user_arg_ptr argv = { .ptr.native = __argv };\n",
      "                      ^~~~\n",
      "fs/exec.c: In function 'SYSC_execveat':\n",
      "fs/exec.c:1842:22: note: userspace variable will be forcibly initialized\n",
      "fs/exec.c:1843:22: note: userspace variable will be forcibly initialized\n",
      "  struct user_arg_ptr envp = { .ptr.native = __envp };\n",
      "                      ^~~~\n",
      "fs/fcntl.c: In function 'send_sigio_to_task':\n",
      "fs/fcntl.c:733:13: note: userspace variable will be forcibly initialized\n",
      "   siginfo_t si;\n",
      "             ^~\n",
      "fs/splice.c: In function 'vmsplice_to_user':\n",
      "fs/splice.c:1265:21: note: userspace variable will be forcibly initialized\n",
      "  struct splice_desc sd;\n",
      "                     ^~\n",
      "arch/x86/kernel/ptrace.c: In function 'send_sigtrap':\n",
      "arch/x86/kernel/ptrace.c:1396:17: note: userspace variable will be forcibly initialized\n",
      "  struct siginfo info;\n",
      "                 ^~~~\n",
      "arch/x86/kernel/stacktrace.c: In function '__save_stack_trace_user':\n",
      "arch/x86/kernel/stacktrace.c:207:27: note: userspace variable will be forcibly initialized\n",
      "   struct stack_frame_user frame;\n",
      "                           ^~~~~\n",
      "kernel/time/posix-timers.c: In function 'SYSC_timer_create':\n",
      "kernel/time/posix-timers.c:577:14: note: userspace variable will be forcibly initialized\n",
      "   sigevent_t event;\n",
      "              ^~~~~\n",
      "security/keys/keyring.c: In function 'keyring_read':\n",
      "security/keys/keyring.c:461:39: note: userspace variable will be forcibly initialized\n",
      "  struct keyring_read_iterator_context ctx;\n",
      "                                       ^~~\n",
      "security/keys/keyctl.c: In function 'keyctl_instantiate_key':\n",
      "security/keys/keyctl.c:1122:16: note: userspace variable will be forcibly initialized\n",
      "   struct iovec iov;\n",
      "                ^~~\n",
      "In file included from block/bio.c:22:0:\n",
      "block/bio.c: In function 'iov_iter_iovec':\n",
      "./include/linux/uio.h:69:9: note: userspace variable will be forcibly initialized\n",
      "  return (struct iovec) {\n",
      "         ^\n",
      "block/bio.c: In function 'bio_map_user_iov':\n",
      "./include/linux/uio.h:69:9: note: userspace variable will be forcibly initialized\n",
      "./include/linux/uio.h:69:9: note: userspace variable will be forcibly initialized\n",
      "block/bio.c:1329:15: note: userspace variable will be forcibly initialized\n",
      "  struct iovec iov;\n",
      "               ^~~\n",
      "block/blk-map.c: In function 'blk_rq_map_user':\n",
      "block/blk-map.c:160:15: note: userspace variable will be forcibly initialized\n",
      "  struct iovec iov;\n",
      "               ^~~\n",
      "block/ioctl.c: In function 'blkpg_ioctl':\n",
      "block/ioctl.c:18:25: note: userspace variable will be forcibly initialized\n",
      "  struct blkpg_ioctl_arg a;\n",
      "                         ^\n",
      "block/scsi_ioctl.c: In function 'scsi_cmd_ioctl':\n",
      "block/scsi_ioctl.c:612:21: note: userspace variable will be forcibly initialized\n",
      "    struct sg_io_hdr hdr;\n",
      "                     ^~~\n",
      "block/scsi_ioctl.c:611:33: note: userspace variable will be forcibly initialized\n",
      "    struct cdrom_generic_command cgc;\n",
      "                                 ^~~\n",
      "block/scsi_ioctl.c:597:21: note: userspace variable will be forcibly initialized\n",
      "    struct sg_io_hdr hdr;\n",
      "                     ^~~\n",
      "sound/core/control.c: In function 'snd_ctl_elem_list':\n",
      "sound/core/control.c:750:27: note: userspace variable will be forcibly initialized\n",
      "  struct snd_ctl_elem_list list;\n",
      "                           ^~~~\n",
      "sound/core/hwdep.c: In function 'snd_hwdep_dsp_load':\n",
      "sound/core/hwdep.c:223:29: note: userspace variable will be forcibly initialized\n",
      "  struct snd_hwdep_dsp_image info;\n",
      "                             ^~~~\n",
      "sound/core/pcm_native.c: In function 'snd_pcm_capture_ioctl1':\n",
      "sound/core/pcm_native.c:2971:20: note: userspace variable will be forcibly initialized\n",
      "   struct snd_xfern xfern;\n",
      "                    ^~~~~\n",
      "sound/core/pcm_native.c:2955:20: note: userspace variable will be forcibly initialized\n",
      "   struct snd_xferi xferi;\n",
      "                    ^~~~~\n",
      "sound/core/pcm_native.c: In function 'snd_pcm_playback_ioctl1':\n",
      "sound/core/pcm_native.c:2891:20: note: userspace variable will be forcibly initialized\n",
      "   struct snd_xfern xfern;\n",
      "                    ^~~~~\n",
      "sound/core/pcm_native.c:2875:20: note: userspace variable will be forcibly initialized\n",
      "   struct snd_xferi xferi;\n",
      "                    ^~~~~\n",
      "lib/iov_iter.c: In function 'iov_iter_fault_in_readable':\n",
      "lib/iov_iter.c:418:15: note: userspace variable will be forcibly initialized\n",
      "  struct iovec v;\n",
      "               ^\n",
      "lib/iov_iter.c: In function '_copy_to_iter':\n",
      "lib/iov_iter.c:565:32: note: userspace variable will be forcibly initialized\n",
      "  iterate_and_advance(i, bytes, v,\n",
      "                                ^\n",
      "lib/iov_iter.c:119:17: note: in definition of macro 'iterate_and_advance'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function '_copy_from_iter':\n",
      "lib/iov_iter.c:585:32: note: userspace variable will be forcibly initialized\n",
      "  iterate_and_advance(i, bytes, v,\n",
      "                                ^\n",
      "lib/iov_iter.c:119:17: note: in definition of macro 'iterate_and_advance'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function '_copy_from_iter_nocache':\n",
      "lib/iov_iter.c:630:32: note: userspace variable will be forcibly initialized\n",
      "  iterate_and_advance(i, bytes, v,\n",
      "                                ^\n",
      "lib/iov_iter.c:119:17: note: in definition of macro 'iterate_and_advance'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function '_copy_from_iter_flushcache':\n",
      "lib/iov_iter.c:650:32: note: userspace variable will be forcibly initialized\n",
      "  iterate_and_advance(i, bytes, v,\n",
      "                                ^\n",
      "lib/iov_iter.c:119:17: note: in definition of macro 'iterate_and_advance'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'iov_iter_zero':\n",
      "lib/iov_iter.c:761:32: note: userspace variable will be forcibly initialized\n",
      "  iterate_and_advance(i, bytes, v,\n",
      "                                ^\n",
      "lib/iov_iter.c:119:17: note: in definition of macro 'iterate_and_advance'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'iov_iter_copy_from_user_atomic':\n",
      "lib/iov_iter.c:784:30: note: userspace variable will be forcibly initialized\n",
      "  iterate_all_kinds(i, bytes, v,\n",
      "                              ^\n",
      "lib/iov_iter.c:88:17: note: in definition of macro 'iterate_all_kinds'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'iov_iter_advance':\n",
      "lib/iov_iter.c:847:31: note: userspace variable will be forcibly initialized\n",
      "  iterate_and_advance(i, size, v, 0, 0, 0)\n",
      "                               ^\n",
      "lib/iov_iter.c:119:17: note: in definition of macro 'iterate_and_advance'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function '_copy_from_iter_full':\n",
      "lib/iov_iter.c:608:30: note: userspace variable will be forcibly initialized\n",
      "  iterate_all_kinds(i, bytes, v, ({\n",
      "                              ^\n",
      "lib/iov_iter.c:88:17: note: in definition of macro 'iterate_all_kinds'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function '_copy_from_iter_full_nocache':\n",
      "lib/iov_iter.c:673:30: note: userspace variable will be forcibly initialized\n",
      "  iterate_all_kinds(i, bytes, v, ({\n",
      "                              ^\n",
      "lib/iov_iter.c:88:17: note: in definition of macro 'iterate_all_kinds'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'iov_iter_alignment':\n",
      "lib/iov_iter.c:982:29: note: userspace variable will be forcibly initialized\n",
      "  iterate_all_kinds(i, size, v,\n",
      "                             ^\n",
      "lib/iov_iter.c:88:17: note: in definition of macro 'iterate_all_kinds'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'iov_iter_gap_alignment':\n",
      "lib/iov_iter.c:1001:29: note: userspace variable will be forcibly initialized\n",
      "  iterate_all_kinds(i, size, v,\n",
      "                             ^\n",
      "lib/iov_iter.c:88:17: note: in definition of macro 'iterate_all_kinds'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'iov_iter_get_pages':\n",
      "lib/iov_iter.c:1066:32: note: userspace variable will be forcibly initialized\n",
      "  iterate_all_kinds(i, maxsize, v, ({\n",
      "                                ^\n",
      "lib/iov_iter.c:88:17: note: in definition of macro 'iterate_all_kinds'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'iov_iter_get_pages_alloc':\n",
      "lib/iov_iter.c:1143:32: note: userspace variable will be forcibly initialized\n",
      "  iterate_all_kinds(i, maxsize, v, ({\n",
      "                                ^\n",
      "lib/iov_iter.c:88:17: note: in definition of macro 'iterate_all_kinds'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'csum_and_copy_from_iter':\n",
      "lib/iov_iter.c:1188:32: note: userspace variable will be forcibly initialized\n",
      "  iterate_and_advance(i, bytes, v, ({\n",
      "                                ^\n",
      "lib/iov_iter.c:119:17: note: in definition of macro 'iterate_and_advance'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'csum_and_copy_from_iter_full':\n",
      "lib/iov_iter.c:1232:30: note: userspace variable will be forcibly initialized\n",
      "  iterate_all_kinds(i, bytes, v, ({\n",
      "                              ^\n",
      "lib/iov_iter.c:88:17: note: in definition of macro 'iterate_all_kinds'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'csum_and_copy_to_iter':\n",
      "lib/iov_iter.c:1275:32: note: userspace variable will be forcibly initialized\n",
      "  iterate_and_advance(i, bytes, v, ({\n",
      "                                ^\n",
      "lib/iov_iter.c:119:17: note: in definition of macro 'iterate_and_advance'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "lib/iov_iter.c: In function 'iov_iter_npages':\n",
      "lib/iov_iter.c:1327:36: note: userspace variable will be forcibly initialized\n",
      "  } else iterate_all_kinds(i, size, v, ({\n",
      "                                    ^\n",
      "lib/iov_iter.c:88:17: note: in definition of macro 'iterate_all_kinds'\n",
      "    struct iovec v;    \\\n",
      "                 ^\n",
      "drivers/block/floppy.c: In function 'raw_cmd_copyout':\n",
      "drivers/block/floppy.c:3073:25: note: userspace variable will be forcibly initialized\n",
      "   struct floppy_raw_cmd cmd = *ptr;\n",
      "                         ^~~\n",
      "drivers/block/DAC960.c: In function 'DAC960_gam_ioctl':\n",
      "drivers/block/DAC960.c:7007:30: note: userspace variable will be forcibly initialized\n",
      "  DAC960_V2_GetHealthStatus_T GetHealthStatus;\n",
      "                              ^~~~~~~~~~~~~~~\n",
      "drivers/block/DAC960.c:6843:26: note: userspace variable will be forcibly initialized\n",
      "  DAC960_V2_UserCommand_T UserCommand;\n",
      "                          ^~~~~~~~~~~\n",
      "drivers/block/DAC960.c:6676:26: note: userspace variable will be forcibly initialized\n",
      "  DAC960_V1_UserCommand_T UserCommand;\n",
      "                          ^~~~~~~~~~~\n",
      "drivers/block/skd_main.c: In function 'skd_sg_io_copy_buffer':\n",
      "drivers/block/skd_main.c:1595:18: note: userspace variable will be forcibly initialized\n",
      "  struct sg_iovec curiov;\n",
      "                  ^~~~~~\n",
      "drivers/block/skd_main.c: In function 'skd_ioctl_sg_io':\n",
      "drivers/block/skd_main.c:1247:19: note: userspace variable will be forcibly initialized\n",
      "  struct skd_sg_io sksgio;\n",
      "                   ^~~~~~\n",
      "In file included from fs/jffs2/background.c:19:0:\n",
      "fs/jffs2/background.c: In function 'kernel_dequeue_signal':\n",
      "./include/linux/sched/signal.h:268:12: note: userspace variable will be forcibly initialized\n",
      "  siginfo_t __info;\n",
      "            ^~~~~~\n",
      "drivers/cdrom/cdrom.c: In function 'mmc_ioctl_cdrom_read_audio':\n",
      "drivers/cdrom/cdrom.c:3006:26: note: userspace variable will be forcibly initialized\n",
      "  struct cdrom_read_audio ra;\n",
      "                          ^~\n",
      "drivers/char/mwave/mwavedd.c: In function 'mwave_ioctl':\n",
      "drivers/char/mwave/mwavedd.c:259:17: note: userspace variable will be forcibly initialized\n",
      "    MW_READWRITE rWriteData;\n",
      "                 ^~~~~~~~~~\n",
      "drivers/char/mwave/mwavedd.c:236:17: note: userspace variable will be forcibly initialized\n",
      "    MW_READWRITE rWriteData;\n",
      "                 ^~~~~~~~~~\n",
      "drivers/char/mwave/mwavedd.c:213:17: note: userspace variable will be forcibly initialized\n",
      "    MW_READWRITE rReadData;\n",
      "                 ^~~~~~~~~\n",
      "drivers/char/mwave/mwavedd.c:190:17: note: userspace variable will be forcibly initialized\n",
      "    MW_READWRITE rReadData;\n",
      "                 ^~~~~~~~~\n",
      "fs/eventpoll.c: In function 'ep_send_events':\n",
      "fs/eventpoll.c:1718:29: note: userspace variable will be forcibly initialized\n",
      "  struct ep_send_events_data esed;\n",
      "                             ^~~~\n",
      "fs/eventpoll.c: In function 'ep_poll':\n",
      "fs/eventpoll.c:1718:29: note: userspace variable will be forcibly initialized\n",
      "fs/signalfd.c: In function 'signalfd_read':\n",
      "fs/signalfd.c:211:12: note: userspace variable will be forcibly initialized\n",
      "  siginfo_t info;\n",
      "            ^~~~\n",
      "drivers/hid/uhid.c: In function 'uhid_dev_create':\n",
      "drivers/hid/uhid.c:535:25: note: userspace variable will be forcibly initialized\n",
      "  struct uhid_create_req orig;\n",
      "                         ^~~~\n",
      "drivers/i2c/i2c-dev.c: In function 'i2cdev_ioctl_rdwr':\n",
      "drivers/i2c/i2c-dev.c:243:29: note: userspace variable will be forcibly initialized\n",
      "  struct i2c_rdwr_ioctl_data rdwr_arg;\n",
      "                             ^~~~~~~~\n",
      "drivers/i2c/i2c-dev.c: In function 'i2cdev_ioctl_smbus':\n",
      "drivers/i2c/i2c-dev.c:333:30: note: userspace variable will be forcibly initialized\n",
      "  struct i2c_smbus_ioctl_data data_arg;\n",
      "                              ^~~~~~~~\n",
      "drivers/input/ff-memless.c: In function 'ml_play_effects':\n",
      "drivers/input/ff-memless.c:404:19: note: userspace variable will be forcibly initialized\n",
      "  struct ff_effect effect;\n",
      "                   ^~~~~~\n",
      "drivers/input/evdev.c: In function 'evdev_do_ioctl':\n",
      "drivers/input/evdev.c:1067:19: note: userspace variable will be forcibly initialized\n",
      "  struct ff_effect effect;\n",
      "                   ^~~~~~\n",
      "drivers/input/misc/uinput.c: In function 'uinput_ioctl_handler':\n",
      "drivers/input/misc/uinput.c:792:26: note: userspace variable will be forcibly initialized\n",
      "  struct uinput_ff_upload ff_up;\n",
      "                          ^~~~~\n",
      "drivers/mtd/mtdchar.c: In function 'mtdchar_ioctl':\n",
      "drivers/mtd/mtdchar.c:1035:26: note: userspace variable will be forcibly initialized\n",
      "   struct blkpg_ioctl_arg a;\n",
      "                          ^\n",
      "drivers/mtd/mtdchar.c:806:22: note: userspace variable will be forcibly initialized\n",
      "   struct mtd_oob_buf buf;\n",
      "                      ^~~\n",
      "drivers/mtd/mtdchar.c:792:22: note: userspace variable will be forcibly initialized\n",
      "   struct mtd_oob_buf buf;\n",
      "                      ^~~\n",
      "drivers/gpu/drm/qxl/qxl_ioctl.c: In function 'qxl_execbuffer_ioctl':\n",
      "drivers/gpu/drm/qxl/qxl_ioctl.c:279:25: note: userspace variable will be forcibly initialized\n",
      "  struct drm_qxl_command user_cmd;\n",
      "                         ^~~~~~~~\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 50359\n",
      "ErrorLog.AICDB\n",
      "ErrorLog.AIC7XXX\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 53234\n",
      "ErrorLog.AS68K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/bin/sh: 1: as68k: not found\n",
      "make[3]: *** [drivers/net/wan/wanxlfw.inc] Error 127\n",
      "make[3]: *** Waiting for unfinished jobs....\n",
      "make[2]: *** [drivers/net/wan] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/net] Error 2\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 55986\n",
      "ErrorLog.AICDB\n",
      "ErrorLog.AIC7XXX\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 59253\n",
      "ErrorLog.AICDB\n",
      "ErrorLog.AIC7XXX\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 61758\n",
      "ErrorLog.AICDB\n",
      "ErrorLog.AIC7XXX\n",
      "drivers/gpu/drm/radeon/radeon_object.c: In function 'radeon_bo_create':\n",
      "drivers/gpu/drm/radeon/radeon_object.c:242:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\n",
      " #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\n",
      "  ^~~~~~~\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 67576\n",
      "ErrorLog.AICDB\n",
      "ErrorLog.AIC7XXX\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function 'yyparse':\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function 'yylex' [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function 'mmparse':\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function 'mmlex' [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro 'yylex'\n",
      "aicasm_scan.l: In function 'yylex':\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function 'mm_switch_to_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function 'mmparse' [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function 'mm_delete_buffer' [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "drivers/gpu/drm/radeon/radeon_object.c: In function 'radeon_bo_create':\n",
      "drivers/gpu/drm/radeon/radeon_object.c:242:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\n",
      " #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\n",
      "  ^~~~~~~\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 79099\n",
      "ErrorLog.AICDB\n",
      "ErrorLog.AIC7XXX\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function ‘yyparse’:\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function ‘yylex’ [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function ‘mmparse’:\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function ‘mmlex’ [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro ‘yylex’\n",
      "aicasm_scan.l: In function ‘yylex’:\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function ‘mm_switch_to_buffer’ [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function ‘mmparse’ [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function ‘mm_delete_buffer’ [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[2]: *** Waiting for unfinished jobs....\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n",
      "###### configuration id 84168\n",
      "ErrorLog.AICDB\n",
      "ErrorLog.AIC7XXX\n",
      "drivers/gpu/drm/amd/amdgpu/amdgpu_object.c: In function ‘amdgpu_bo_create_restricted’:\n",
      "drivers/gpu/drm/amd/amdgpu/amdgpu_object.c:378:2: warning: #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance thanks to write-combining [-Wcpp]\n",
      " #warning Please enable CONFIG_MTRR and CONFIG_X86_PAT for better performance \\\n",
      "  ^~~~~~~\n",
      "aicasm_symbol.c:48:19: fatal error: aicdb.h: No such file or directory\n",
      " #include \"aicdb.h\"\n",
      "                   ^\n",
      "compilation terminated.\n",
      "aicasm_gram.tab.c: In function ‘yyparse’:\n",
      "aicasm_gram.tab.c:1628:16: warning: implicit declaration of function ‘yylex’ [-Wimplicit-function-declaration]\n",
      "aicasm_macro_gram.tab.c: In function ‘mmparse’:\n",
      "/TuxML/linux-4.13.3/drivers/scsi/aic7xxx/aicasm//aicasm_macro_gram.c:64:25: warning: implicit declaration of function ‘mmlex’ [-Wimplicit-function-declaration]\n",
      " #define yylex           mmlex\n",
      "                         ^\n",
      "aicasm_macro_gram.tab.c:1199:16: note: in expansion of macro ‘yylex’\n",
      "aicasm_scan.l: In function ‘yylex’:\n",
      "aicasm_scan.l:420:6: warning: implicit declaration of function ‘mm_switch_to_buffer’ [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(temp_state);\n",
      "      ^~~~~~~~~~~~~~~~~~~\n",
      "aicasm_scan.l:421:6: warning: implicit declaration of function ‘mmparse’ [-Wimplicit-function-declaration]\n",
      "      mm_switch_to_buffer(old_state);\n",
      "      ^~~~~~~\n",
      "aicasm_scan.l:424:6: warning: implicit declaration of function ‘mm_delete_buffer’ [-Wimplicit-function-declaration]\n",
      "      yy_switch_to_buffer(old_state);\n",
      "      ^~~~~~~~~~~~~~~~\n",
      "make[4]: *** [aicasm] Error 1\n",
      "make[3]: *** [drivers/scsi/aic7xxx/aicasm/aicasm] Error 2\n",
      "make[2]: *** [drivers/scsi/aic7xxx] Error 2\n",
      "make[1]: *** [drivers/scsi] Error 2\n",
      "make[1]: *** Waiting for unfinished jobs....\n",
      "make: *** [drivers] Error 2\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "basic conclusion: bug GENERIC_ALLOCATOR + DRM_VBOXVIDEO is always masked by firmwares-like failures\n",
    "'''\n",
    "generic_allocator_mask_firmwares = rawtuxdata.query(\"GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 & (AIC7XXX_BUILD_FIRMWARE == 1 | AIC79XX_BUILD_FIRMWARE == 1 | WANXL_BUILD_FIRMWARE == 1)  & compile_success == False\")\n",
    "print(\"generic allocator bug with firmwares' failures\", generic_allocator_mask_firmwares.shape)\n",
    "print()\n",
    "print()\n",
    "for cid in generic_allocator_mask_firmwares['cid']:\n",
    "    print (\"###### configuration id\", cid)\n",
    "    err_pattern = error_pattern.query(\"cid == \" + str(cid)).iloc[0]\n",
    "    for err in ErrorLog:\n",
    "        if (err_pattern[err.name]):\n",
    "            print(err)\n",
    "    error_messages = errorlogs.query(\"cid == \" + str(cid)).iloc[0]['error_message'].splitlines()\n",
    "    for error in error_messages:\n",
    "        if \"Cyclomatic \" not in error:\n",
    "            print(error)\n",
    "    print()\n",
    "    print()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "generic allocator bug *without* firmwares' failures (369, 12638)\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "basic conclusion: bug GENERIC_ALLOCATOR + DRM_VBOXVIDEO is not dominated by other bugs than firmware\n",
    "'''\n",
    "\n",
    "generic_allocator_mask_notfirmware = rawtuxdata.query(\"GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 & ~(AIC7XXX_BUILD_FIRMWARE == 1 | AIC79XX_BUILD_FIRMWARE == 1 | WANXL_BUILD_FIRMWARE == 1)  & compile_success == 0\")\n",
    "\n",
    "\n",
    "print(\"generic allocator bug *without* firmwares' failures\", generic_allocator_mask_notfirmware.shape)\n",
    "print()\n",
    "print()\n",
    "for cid in generic_allocator_mask_notfirmware['cid']:\n",
    "    err_pattern = error_pattern.query(\"cid == \" + str(cid)).iloc[0]\n",
    "    if not (err_pattern[ErrorLog.GEN.name]):\n",
    "        print (\"###### configuration id\", cid)\n",
    "        print(\"GENERIC allocator NOT found\")\n",
    "    #else:\n",
    "    #    for err in ErrorLog:\n",
    "    #        if (err_pattern[err.name]):\n",
    "    #            print(err)\n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ~(AIC7XXX_BUILD_FIRMWARE == 1 | AIC79XX_BUILD_FIRMWARE == 1 | WANXL_BUILD_FIRMWARE == 1)  &\n",
    "# Mathieu: I'm deactivating it, it's time-consuming and error-prone \n",
    "if False:\n",
    "    for path1 in all_paths[::-1]:\n",
    "        # collect all cids related to a path\n",
    "        path_cids = rawtuxdata.query(path1 + \" & compile_success == False\")['cid'].values\n",
    "        spath_cids = set(path_cids)\n",
    "        print (path1)\n",
    "        for path2 in all_paths[::-1]:\n",
    "            if (path1 != path2):                \n",
    "                for cid in path_cids:\n",
    "                    # report whether an alternate path/rule can match the cid \n",
    "                    #print (cid)\n",
    "                    overlap = rawtuxdata.query(path2 + \" & compile_success == False & cid == \" + str(cid)) #['cid'].values\n",
    "                    #overlap = list(spath_cids & set(path_cids2)) \n",
    "                    if len(overlap) > 0:\n",
    "                        print(path1, \"also hold with\\n\", path2, \"=> #\", overlap)\n",
    "                        print()\n",
    "    \n",
    "       \n",
    "#    for path2 in all_paths:\n",
    "#        if (path1 != path2):\n",
    "#            overlap = len(rawtuxdata.query(path1 + \" | ~(\" + path2 + \") & compile_success == False\").index)\n",
    "#            if  overlap > 0:\n",
    "#                print(path1, \"also hold with\\n\", path2, \"=> #\", overlap)\n",
    "#                print()\n",
    "        \n",
    "        \n",
    "#"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: classification on clusters!\n",
    "rawtuxdata = pd.merge(rawtuxdata, error_patternfirst, on='cid', how='outer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((96094, 12658), (3621, 20))"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata.shape, error_patternfirst.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2464, 12658)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata.query(ErrorLog.AICDB.name + \" == True\").shape\n",
    "# rawtuxdata['cid']\n",
    "# configwithclusters['cid']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.utils.multiclass import unique_labels\n",
    "\n",
    "\n",
    "def plot_confusion_matrix(y_true, y_pred, classes,\n",
    "                          normalize=False,\n",
    "                          title=None,\n",
    "                          cmap=plt.cm.Blues):\n",
    "    \"\"\"\n",
    "    This function prints and plots the confusion matrix.\n",
    "    Normalization can be applied by setting `normalize=True`.\n",
    "    \"\"\"\n",
    "    if not title:\n",
    "        if normalize:\n",
    "            title = 'Normalized confusion matrix'\n",
    "        else:\n",
    "            title = 'Confusion matrix, without normalization'\n",
    "\n",
    "    # Compute confusion matrix\n",
    "    cm = confusion_matrix(y_true, y_pred)\n",
    "    # Only use the labels that appear in the data\n",
    "    classes = classes[unique_labels(y_true, y_pred)]\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "        #print(\"Normalized confusion matrix\")\n",
    "    else:\n",
    "        #print('Confusion matrix, without normalization')\n",
    "        pass\n",
    "\n",
    "    #print(cm)\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(15, 15))\n",
    "    im = ax.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    ax.figure.colorbar(im, ax=ax)\n",
    "    # We want to show all ticks...\n",
    "    ax.set(xticks=np.arange(cm.shape[1]),\n",
    "           yticks=np.arange(cm.shape[0]),\n",
    "           # ... and label them with the respective list entries\n",
    "           xticklabels=classes, yticklabels=classes,\n",
    "           title=title,\n",
    "           ylabel='True label',\n",
    "           xlabel='Predicted label')\n",
    "\n",
    "    # Rotate the tick labels and set their alignment.\n",
    "    plt.setp(ax.get_xticklabels(), rotation=45, ha=\"right\",\n",
    "             rotation_mode=\"anchor\")\n",
    "\n",
    "    # Loop over data dimensions and create text annotations.\n",
    "    fmt = '.2f' if normalize else 'd'\n",
    "    thresh = cm.max() / 2.\n",
    "    for i in range(cm.shape[0]):\n",
    "        for j in range(cm.shape[1]):\n",
    "            ax.text(j, i, format(cm[i, j], fmt),\n",
    "                    ha=\"center\", va=\"center\",\n",
    "                    color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "    fig.tight_layout()\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "for err in ErrorLog:\n",
    "    rawtuxdata[err.name] = rawtuxdata[err.name].fillna(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['NO_FAILURE', 'AS68K', 'AIC7XXX', 'OVERFLOW2', 'GEN', 'V4L2',\n",
       "       'DRM_BRIDGE_CLUSTER', 'AICDB', 'PINCTRL_CLUSTER',\n",
       "       'CONFIG_NLS_DEFAULT', 'TTM', 'CRC32_CLUSTER', 'BTBCM',\n",
       "       'BLACKLIGHT', 'DEVM2', 'DEVM', 'BLACKLIGHT2', 'I2C_CLUSTER', 'PCM',\n",
       "       'ULPI'], dtype=object)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "create a column with the first kind/cluster of error message that pops out\n",
    "it will be a label\n",
    "allows multi-class classification (instead of simply binary classification)\n",
    "TODO: applies to error_patternfirst and error_pattern\n",
    "'''\n",
    "\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "# FIXE: enum auto() does not work\n",
    "def which_pattern(row):\n",
    "    for err in ErrorLog:\n",
    "        if (row[err.name]):\n",
    "            return err.name\n",
    "    return \"NO_FAILURE\"\n",
    "cluster_errorfirst = rawtuxdata.apply(which_pattern, axis=1)\n",
    "cluster_errorfirst.unique()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# encoding strings as labels\n",
    "le_cluster = LabelEncoder()\n",
    "rawtuxdata['cluster_errorfirst'] = le_cluster.fit_transform(cluster_errorfirst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 0.9998959417273673\n",
      "Precision score: 0.6666666666666666\n",
      "Recall score: 1.0\n",
      "F1 score: 0.8\n",
      "Balanced accuracy score: 0.9999479600333057\n",
      "Matthews corr score: 0.81645408936719\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9608\n",
      "        True       0.67      1.00      0.80         2\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       0.83      1.00      0.90      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:543: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 1.0\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 1.0\n",
      "Matthews corr score: 0.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9610\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       1.00      1.00      1.00      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 due to no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:543: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 0.9997918834547347\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 0.5\n",
      "Matthews corr score: 0.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9608\n",
      "        True       0.00      0.00      0.00         2\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       0.50      0.50      0.50      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n",
      "Accuracy score: 0.9997918834547347\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 0.4999479654490582\n",
      "Matthews corr score: -0.00010406910188365075\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9609\n",
      "        True       0.00      0.00      0.00         1\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       0.50      0.50      0.50      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n",
      "Accuracy score: 1.0\n",
      "Precision score: 1.0\n",
      "Recall score: 1.0\n",
      "F1 score: 1.0\n",
      "Balanced accuracy score: 1.0\n",
      "Matthews corr score: 1.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9608\n",
      "        True       1.00      1.00      1.00         2\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       1.00      1.00      1.00      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n",
      "Accuracy score: 1.0\n",
      "Precision score: 1.0\n",
      "Recall score: 1.0\n",
      "F1 score: 1.0\n",
      "Balanced accuracy score: 1.0\n",
      "Matthews corr score: 1.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9605\n",
      "        True       1.00      1.00      1.00         5\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       1.00      1.00      1.00      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1145: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples.\n",
      "  'recall', 'true', average, warn_for)\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1145: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 due to no true samples.\n",
      "  'recall', 'true', average, warn_for)\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1437: UserWarning: y_pred contains classes not in y_true\n",
      "  warnings.warn('y_pred contains classes not in y_true')\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:543: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 0.9998959417273673\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 0.9998959417273673\n",
      "Matthews corr score: 0.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1145: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n",
      "  'recall', 'true', average, warn_for)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9610\n",
      "        True       0.00      0.00      0.00         0\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       0.50      0.50      0.50      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:543: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 1.0\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 1.0\n",
      "Matthews corr score: 0.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9610\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       1.00      1.00      1.00      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n",
      "Accuracy score: 1.0\n",
      "Precision score: 1.0\n",
      "Recall score: 1.0\n",
      "F1 score: 1.0\n",
      "Balanced accuracy score: 1.0\n",
      "Matthews corr score: 1.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9608\n",
      "        True       1.00      1.00      1.00         2\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       1.00      1.00      1.00      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n",
      "Accuracy score: 0.9994797086368367\n",
      "Precision score: 0.9215686274509803\n",
      "Recall score: 0.9791666666666666\n",
      "F1 score: 0.9494949494949494\n",
      "Balanced accuracy score: 0.9893741720699993\n",
      "Matthews corr score: 0.9496743535996093\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9562\n",
      "        True       0.92      0.98      0.95        48\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       0.96      0.99      0.97      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n",
      "Accuracy score: 0.999687825182102\n",
      "Precision score: 0.918918918918919\n",
      "Recall score: 1.0\n",
      "F1 score: 0.9577464788732395\n",
      "Balanced accuracy score: 0.99984335839599\n",
      "Matthews corr score: 0.9584524177297951\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9576\n",
      "        True       0.92      1.00      0.96        34\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       0.96      1.00      0.98      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n",
      "Accuracy score: 0.9992715920915712\n",
      "Precision score: 0.984\n",
      "Recall score: 0.9879518072289156\n",
      "F1 score: 0.9859719438877755\n",
      "Balanced accuracy score: 0.9937622512268924\n",
      "Matthews corr score: 0.9856001198005799\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9361\n",
      "        True       0.98      0.99      0.99       249\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       0.99      0.99      0.99      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n",
      "Accuracy score: 0.9998959417273673\n",
      "Precision score: 0.9285714285714286\n",
      "Recall score: 1.0\n",
      "F1 score: 0.962962962962963\n",
      "Balanced accuracy score: 0.9999479003855372\n",
      "Matthews corr score: 0.9635739059068427\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9597\n",
      "        True       0.93      1.00      0.96        13\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       0.96      1.00      0.98      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n",
      "Accuracy score: 0.999687825182102\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 0.49989593089811635\n",
      "Matthews corr score: -0.00014718359413934046\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9609\n",
      "        True       0.00      0.00      0.00         1\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       0.50      0.50      0.50      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:543: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 1.0\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 1.0\n",
      "Matthews corr score: 0.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9610\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       1.00      1.00      1.00      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1145: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples.\n",
      "  'recall', 'true', average, warn_for)\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1145: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 due to no true samples.\n",
      "  'recall', 'true', average, warn_for)\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1437: UserWarning: y_pred contains classes not in y_true\n",
      "  warnings.warn('y_pred contains classes not in y_true')\n",
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:543: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 0.9998959417273673\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 0.9998959417273673\n",
      "Matthews corr score: 0.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:1145: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n",
      "  'recall', 'true', average, warn_for)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9610\n",
      "        True       0.00      0.00      0.00         0\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       0.50      0.50      0.50      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:543: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 1.0\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 1.0\n",
      "Matthews corr score: 0.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9610\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       1.00      1.00      1.00      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:543: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 1.0\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 1.0\n",
      "Matthews corr score: 0.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9610\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       1.00      1.00      1.00      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:543: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 1.0\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 1.0\n",
      "Matthews corr score: 0.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9610\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       1.00      1.00      1.00      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/sklearn/metrics/classification.py:543: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  mcc = cov_ytyp / np.sqrt(cov_ytyt * cov_ypyp)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score: 1.0\n",
      "Precision score: 0.0\n",
      "Recall score: 0.0\n",
      "F1 score: 0.0\n",
      "Balanced accuracy score: 1.0\n",
      "Matthews corr score: 0.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       1.00      1.00      1.00      9610\n",
      "\n",
      "   micro avg       1.00      1.00      1.00      9610\n",
      "   macro avg       1.00      1.00      1.00      9610\n",
      "weighted avg       1.00      1.00      1.00      9610\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import matthews_corrcoef\n",
    "from sklearn import tree\n",
    "from sklearn.metrics import classification_report\n",
    "import graphviz \n",
    "\n",
    "'''\n",
    "1. when cluster_of_interest == 'cluster_errorfirst' it is a multiclass classification (multi-class is all clusters' errors)\n",
    "2. when cluster_of_interest is the name of a cluster, it is a per class classification \n",
    "(ie we aim to recognize a specific failure and the rest is either other failure or NO failure)\n",
    "3. for simple failure/no failure, see elsewhere\n",
    "4. (TODO) it is also possible to have a look at a subset of clusters (not all), but not generalized here (I've made some experiments though)\n",
    "'''\n",
    "def mk_decisiontree_overcluster(cluster_of_interest, print_cfmatrix=True):\n",
    "\n",
    "    TESTING_SIZE_CLUSTER= 0.1 #0.99 # 0.001 # 0.9\n",
    "    X_train_cluster, X_test_cluster, y_train_cluster, y_test_cluster = train_test_split(\n",
    "        rawtuxdata\n",
    "        .drop(columns=[\"cid\"])\n",
    "        .drop(columns=['cluster_errorfirst'])\n",
    "       # .drop(columns=[\"nb_patterns\"])\n",
    "        .drop(columns=pattern_name)\n",
    "       # .drop(columns=size_methods)\n",
    "        .drop(columns=compilation_status_column_name), \n",
    "        rawtuxdata[cluster_of_interest], ### can be 'cluster_errorfirst' column ie all clusters are of interest!\n",
    "        test_size=TESTING_SIZE_CLUSTER, random_state=0)  \n",
    "\n",
    "    clf_cluster = tree.DecisionTreeClassifier() #GradientBoostingClassifier(n_estimators=100) #RandomForestRegressor(n_estimators=100) #   #GradientBoostingRegressor(n_estimators=100)  \n",
    "    clf_cluster.fit(X_train_cluster, y_train_cluster)\n",
    "        \n",
    "    ######## eval_decisiontree\n",
    "    y_pred_cluster = clf_cluster.predict(X_test_cluster)\n",
    "\n",
    "    acc_cl = accuracy_score (y_test_cluster, y_pred_cluster)\n",
    "    if (cluster_of_interest == 'cluster_errorfirst'):\n",
    "        #### multi-class\n",
    "        average_method_cl = 'micro'\n",
    "        prec_cl = precision_score (y_test_cluster, y_pred_cluster, average=average_method_cl)\n",
    "        reca_cl = recall_score (y_test_cluster, y_pred_cluster, average=average_method_cl)\n",
    "        f1_cl = f1_score (y_test_cluster, y_pred_cluster, average=average_method_cl)\n",
    "    else:\n",
    "        prec_cl = precision_score (y_test_cluster, y_pred_cluster)\n",
    "        reca_cl = recall_score (y_test_cluster, y_pred_cluster)\n",
    "        f1_cl = f1_score (y_test_cluster, y_pred_cluster)\n",
    "        \n",
    "    balance_acc_cl = balanced_accuracy_score (y_test_cluster, y_pred_cluster)\n",
    "    matt_cl = matthews_corrcoef(y_test_cluster, y_pred_cluster) \n",
    "\n",
    "\n",
    "    print(\"Accuracy score:\", acc_cl)\n",
    "    print(\"Precision score:\", prec_cl)\n",
    "    print(\"Recall score:\", reca_cl)\n",
    "    print(\"F1 score:\", f1_cl)\n",
    "    print(\"Balanced accuracy score:\", balance_acc_cl)\n",
    "\n",
    "    print(\"Matthews corr score:\", matt_cl)\n",
    "    \n",
    "    ######### plot decision tree\n",
    "    # ft_names =  rawtuxdata.drop(columns=[\"cid\", 'cluster_errorfirst']).drop(columns=pattern_name).drop(columns=size_methods).drop(columns=compilation_status_column_name).columns\n",
    "    ft_names =  rawtuxdata.drop(columns=[\"cid\", 'cluster_errorfirst']).drop(columns=pattern_name).drop(columns=compilation_status_column_name).columns\n",
    "    #\n",
    "    # TODO: \n",
    "    if (cluster_of_interest == 'cluster_errorfirst'):\n",
    "        cl_names = [list(le_cluster.classes_)[i] for i in clf_cluster.classes_] # list(le_cluster.classes_) \n",
    "    else:\n",
    "        cl_names = [] \n",
    "        cl_names.append('NOFAILURE_WITH_' + cluster_of_interest)\n",
    "        cl_names.append(cluster_of_interest)\n",
    "    dot_data = tree.export_graphviz(clf_cluster, out_file=None, \n",
    "                             feature_names=ft_names,\n",
    "                             class_names = cl_names,\n",
    "                             filled=True, rounded=True,\n",
    "                             special_characters=True)  \n",
    "    graph = graphviz.Source(dot_data)  \n",
    "    graph.render(\"TUXML_compilation_failures_clusters_\" + cluster_of_interest)\n",
    "    \n",
    "    ######## confusion matrix\n",
    "    \n",
    "    #np.set_printoptions(precision=2)\n",
    "    # Plot non-normalized confusion matrix\n",
    "    if print_cfmatrix:\n",
    "        plot_confusion_matrix(y_test_cluster, y_pred_cluster, classes=np.array(cl_names),\n",
    "                              title='Confusion matrix, without normalization')\n",
    "\n",
    "        # Plot normalized confusion matrix\n",
    "        plot_confusion_matrix(y_test_cluster, y_pred_cluster, classes=np.array(cl_names), normalize=True,\n",
    "                              title='Normalized confusion matrix')\n",
    "\n",
    "        plt.show() \n",
    "    \n",
    "    \n",
    "    ###### classification report \n",
    "    print(classification_report(y_test_cluster, y_pred_cluster)) # labels=np.array(cl_names)\n",
    "        \n",
    "\n",
    "# mk_decisiontree_overcluster('cluster_errorfirst')\n",
    "\n",
    "for cl in ErrorLog:\n",
    "    mk_decisiontree_overcluster(cl.name, print_cfmatrix=False)\n",
    "    \n",
    "    # ErrorLog.GEN.name # ErrorLog.OVERFLOW2.name ErrorLog.CONFIG_NLS_DEFAULT.name #\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "# list(zip(cl_names, clf_cluster.classes_))\n",
    "#for i in clf_cluster.classes_:\n",
    "#    print(list(le_cluster.classes_)[i])\n",
    "#clf_cluster.classes_, cl_names, cl_names[13]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "#error_patternfirst[ErrorLog.I2C.name]\n",
    "#rawtuxdata.query(\"cid == 96730\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>BLACKLIGHT</th>\n",
       "      <th>BLACKLIGHT2</th>\n",
       "      <th>CONFIG_NLS_DEFAULT</th>\n",
       "      <th>CRC32_CLUSTER</th>\n",
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       "      <th>AICDB</th>\n",
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       "      <th>DEVM</th>\n",
       "      <th>DEVM2</th>\n",
       "      <th>I2C_CLUSTER</th>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <th>6</th>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <th>7</th>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    BLACKLIGHT  BLACKLIGHT2  CONFIG_NLS_DEFAULT  CRC32_CLUSTER   V4L2  \\\n",
       "0        False        False               False          False  False   \n",
       "1        False        False               False          False  False   \n",
       "2        False        False               False          False  False   \n",
       "3        False        False               False          False  False   \n",
       "4        False        False               False          False  False   \n",
       "5        False        False               False          False  False   \n",
       "6        False        False               False          False  False   \n",
       "7        False        False               False          False  False   \n",
       "8        False        False               False          False  False   \n",
       "9        False        False               False          False  False   \n",
       "10       False        False               False          False  False   \n",
       "11       False        False               False          False  False   \n",
       "12       False        False               False          False  False   \n",
       "13       False        False               False          False  False   \n",
       "14       False        False               False          False  False   \n",
       "15       False        False               False          False  False   \n",
       "16       False        False               False          False  False   \n",
       "17       False        False               False          False  False   \n",
       "18       False        False               False          False  False   \n",
       "19       False        False               False          False  False   \n",
       "\n",
       "    OVERFLOW2   ULPI    PCM    TTM  AS68K    GEN  AICDB  AIC7XXX  \\\n",
       "0       False  False  False  False  False  False  False    False   \n",
       "1       False  False  False  False  False  False  False    False   \n",
       "2       False  False  False  False  False  False  False    False   \n",
       "3       False  False  False  False  False  False  False    False   \n",
       "4       False  False  False  False  False  False  False    False   \n",
       "5       False  False  False  False  False  False  False    False   \n",
       "6       False  False  False  False  False  False  False    False   \n",
       "7       False  False  False  False  False  False  False    False   \n",
       "8       False  False  False  False  False  False  False    False   \n",
       "9       False  False  False  False  False  False  False    False   \n",
       "10      False  False  False  False  False  False  False    False   \n",
       "11      False  False  False  False  False  False  False    False   \n",
       "12      False  False  False  False  False  False  False    False   \n",
       "13      False  False  False  False  False  False  False    False   \n",
       "14      False  False  False  False  False  False  False    False   \n",
       "15      False  False  False  False  False  False  False    False   \n",
       "16      False  False  False  False  False  False  False    False   \n",
       "17      False  False  False  False  False  False  False    False   \n",
       "18      False  False  False  False  False  False  False    False   \n",
       "19      False  False  False  False  False  False  False    False   \n",
       "\n",
       "    DRM_BRIDGE_CLUSTER  PINCTRL_CLUSTER  BTBCM  BPFFANCY   DEVM  DEVM2  \\\n",
       "0                False            False  False     False  False  False   \n",
       "1                False            False  False     False  False  False   \n",
       "2                False            False  False     False  False  False   \n",
       "3                False            False  False     False  False  False   \n",
       "4                False            False  False     False  False  False   \n",
       "5                False            False  False     False  False  False   \n",
       "6                False            False  False     False  False  False   \n",
       "7                False            False  False     False  False  False   \n",
       "8                False            False  False     False  False  False   \n",
       "9                False            False  False     False  False  False   \n",
       "10               False            False  False     False  False  False   \n",
       "11               False            False  False     False  False  False   \n",
       "12               False            False  False     False  False  False   \n",
       "13               False            False  False     False  False  False   \n",
       "14               False            False  False     False  False  False   \n",
       "15               False            False  False     False  False  False   \n",
       "16               False            False  False     False  False  False   \n",
       "17               False            False  False     False  False  False   \n",
       "18               False            False  False     False  False  False   \n",
       "19               False            False  False     False  False  False   \n",
       "\n",
       "    I2C_CLUSTER  \n",
       "0         False  \n",
       "1         False  \n",
       "2         False  \n",
       "3         False  \n",
       "4         False  \n",
       "5         False  \n",
       "6         False  \n",
       "7         False  \n",
       "8         False  \n",
       "9         False  \n",
       "10        False  \n",
       "11        False  \n",
       "12        False  \n",
       "13        False  \n",
       "14        False  \n",
       "15        False  \n",
       "16        False  \n",
       "17        False  \n",
       "18        False  \n",
       "19        False  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata[pattern_name][:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AIC79XX_BUILD_FIRMWARE > 0.5 => {'OVERFLOW2', 'AS68K', 'AICDB', 'AIC7XXX'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE > 0.5 => {'OVERFLOW2', 'AS68K', 'AICDB', 'AIC7XXX'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE > 0.5 => {'AS68K'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 > 1.5 & PTP_1588_CLOCK_KVM > 1.5 => {'DEVM2'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 <= 1.5 & IPV6 > 0.5 & UBSAN_NULL > 0.5 => {'OVERFLOW2'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 <= 1.5 & IPV6 > 0.5 & UBSAN_NULL <= 0.5 & UBSAN_ALIGNMENT > 0.5 => {'OVERFLOW2'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS <= 0.5 & I40EVF > 0.5 & VIDEO_XILINX_TPG <= 0.5 & SOLARIS_X86_PARTITION > 0.5 => {'V4L2'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS <= 0.5 & I40EVF <= 0.5 & SND_MIA <= 0.5 => {'TTM'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK > 1.5 & USB_GSPCA_OV534 > 1.5 & GCC_PLUGIN_CYC_COMPLEXITY > 0.5 => {'BLACKLIGHT'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR > 1.5 & GPIOLIB <= 0.5 & FB_S1D13XXX <= 1.5 => {'PINCTRL_CLUSTER'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR <= 1.5 & SND_AT73C213 > 0.5 & VIDEO_SOLO6X10 > 1.5 & MEMCG_SWAP_ENABLED > 0.5 & SERIAL_KGDB_NMI > 0.5 => {'BLACKLIGHT2'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR <= 1.5 & SND_AT73C213 <= 0.5 & IMA_READ_POLICY > 0.5 & SI1145 <= 0.5 => {'DRM_BRIDGE_CLUSTER'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 > 1.5 & DM_PERSISTENT_DATA > 1.5 => {'BLACKLIGHT'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS > 1.5 & FSI_MASTER_HUB > 1.5 => {'PINCTRL_CLUSTER'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS <= 1.5 & CHARGER_AXP20X > 1.5 & GPIO_WHISKEY_COVE > 1.5 => {'TTM'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS <= 1.5 & CHARGER_AXP20X <= 1.5 & DVB_BUDGET > 1.5 & SERIAL_CLPS711X_CONSOLE > 0.5 => {'BLACKLIGHT'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 <= 0.5 & USB_MUSB_GADGET > 0.5 & DRM_I915 > 1.5 => {'TTM', 'BLACKLIGHT'}\n",
      "\n",
      "AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 <= 0.5 & USB_MUSB_GADGET <= 0.5 & VIPERBOARD_ADC > 1.5 & KARMA_PARTITION > 0.5 => {'BLACKLIGHT'}\n",
      "\n"
     ]
    },
    {
     "ename": "SyntaxError",
     "evalue": "Python keyword not valid identifier in numexpr query (<unknown>, line 1)",
     "output_type": "error",
     "traceback": [
      "Traceback \u001b[0;36m(most recent call last)\u001b[0m:\n",
      "  File \u001b[1;32m\"/usr/local/lib/python3.7/site-packages/IPython/core/interactiveshell.py\"\u001b[0m, line \u001b[1;32m3267\u001b[0m, in \u001b[1;35mrun_code\u001b[0m\n    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \u001b[1;32m\"<ipython-input-68-905ce86caba7>\"\u001b[0m, line \u001b[1;32m2\u001b[0m, in \u001b[1;35m<module>\u001b[0m\n    configs_path = rawtuxdata.query(path + \" & compile_success == False\")\n",
      "  File \u001b[1;32m\"/usr/local/lib/python3.7/site-packages/pandas/core/frame.py\"\u001b[0m, line \u001b[1;32m2847\u001b[0m, in \u001b[1;35mquery\u001b[0m\n    res = self.eval(expr, **kwargs)\n",
      "  File \u001b[1;32m\"/usr/local/lib/python3.7/site-packages/pandas/core/frame.py\"\u001b[0m, line \u001b[1;32m2962\u001b[0m, in \u001b[1;35meval\u001b[0m\n    return _eval(expr, inplace=inplace, **kwargs)\n",
      "  File \u001b[1;32m\"/usr/local/lib/python3.7/site-packages/pandas/core/computation/eval.py\"\u001b[0m, line \u001b[1;32m291\u001b[0m, in \u001b[1;35meval\u001b[0m\n    truediv=truediv)\n",
      "  File \u001b[1;32m\"/usr/local/lib/python3.7/site-packages/pandas/core/computation/expr.py\"\u001b[0m, line \u001b[1;32m739\u001b[0m, in \u001b[1;35m__init__\u001b[0m\n    self.terms = self.parse()\n",
      "  File \u001b[1;32m\"/usr/local/lib/python3.7/site-packages/pandas/core/computation/expr.py\"\u001b[0m, line \u001b[1;32m756\u001b[0m, in \u001b[1;35mparse\u001b[0m\n    return self._visitor.visit(self.expr)\n",
      "  File \u001b[1;32m\"/usr/local/lib/python3.7/site-packages/pandas/core/computation/expr.py\"\u001b[0m, line \u001b[1;32m317\u001b[0m, in \u001b[1;35mvisit\u001b[0m\n    raise e\n",
      "  File \u001b[1;32m\"/usr/local/lib/python3.7/site-packages/pandas/core/computation/expr.py\"\u001b[0m, line \u001b[1;32m311\u001b[0m, in \u001b[1;35mvisit\u001b[0m\n    node = ast.fix_missing_locations(ast.parse(clean))\n",
      "\u001b[0;36m  File \u001b[0;32m\"/usr/local/Cellar/python/3.7.2_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/ast.py\"\u001b[0;36m, line \u001b[0;32m35\u001b[0;36m, in \u001b[0;35mparse\u001b[0;36m\u001b[0m\n\u001b[0;31m    return compile(source, filename, mode, PyCF_ONLY_AST)\u001b[0m\n",
      "\u001b[0;36m  File \u001b[0;32m\"<unknown>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    AIC79XX_BUILD_FIRMWARE <=0.5 and AIC7XXX_BUILD_FIRMWARE <=0.5 and WANXL_BUILD_FIRMWARE <=0.5 and GENERIC_ALLOCATOR >0.5 and UBSAN_SANITIZE_ALL <=0.5 and VIDEO_XILINX_VTC >0.5 and CRC32 >0.5 and VIDEO_S5P_MIPI_CSIS >0.5 and VIDEO_RCAR_VIN >0.5 and XEN_PCIDEV_FRONTEND >0.5 and VME_CA91CX42 >0.5 and NLS >1.5 and USB_PULSE8_CEC >0.5 and REGMAP_MMIO >0.5 and FUSION_LAN >0.5 and USB_F_TCM <=0.5 and VIDEO_SOLO6X10 >1.5 and 60 XX_WDT >0.5 and compile_success ==False\u001b[0m\n\u001b[0m                                                                                                                                                                                                                                                                                                                                                                                                                                                ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m Python keyword not valid identifier in numexpr query\n"
     ]
    }
   ],
   "source": [
    "for path in all_paths[::-1]: # all_paths[::-1]:\n",
    "    configs_path = rawtuxdata.query(path + \" & compile_success == 0\")\n",
    "    clusters_path = []\n",
    "    for ind, cfg in configs_path.iterrows():  \n",
    "        cluster_cfg = []\n",
    "        for err in ErrorLog:\n",
    "            if(cfg[err.name]):\n",
    "                cluster_cfg.append(err.name)                \n",
    "        assert(len(set(cluster_cfg)) == 1)\n",
    "        clusters_path.append(cluster_cfg[0])\n",
    "                \n",
    "    print(path, \"=>\", set(clusters_path))\n",
    "    print()\n",
    "        \n",
    "    # configs_path['cid'].values\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rawtuxdata['PM_STD_PARTITION']  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ErrorLog.BLACKLIGHT => {'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM <= 0.5 & VIDEO_SOLO6X10 > 1.5 & 60XX_WDT > 0.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY <= 1.5 & CAN_PEAK_USB <= 1.5 & VIDEO_STI_DELTA_DRIVER <= 1.5 & DRM_R128 > 1.5 & BACKLIGHT_CLASS_DEVICE <= 1.0 & TCP_CONG_WESTWOOD <= 1.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC <= 0.5 & SND_PDAUDIOCF <= 1.5 & PTP_1588_CLOCK_GIANFAR > 0.5 & CAN_PEAK_PCIEFD > 1.5 & SENSORS_LM93 > 1.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 > 1.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 > 1.5 & DM_PERSISTENT_DATA > 1.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO <= 1.5 & HFI1_VERBS_31BIT_PSN <= 0.5 & ISDN_DRV_AVMB1_T1PCI > 0.5 & WIL6210_TRACING <= 0.5 & INFINIBAND_ISERT <= 1.5 & SPI_SH_MSIOF <= 0.5 & AD525X_DPOT_I2C > 1.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 <= 0.5 & USB_MUSB_GADGET > 0.5 & DRM_I915 > 1.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK > 1.5 & USB_GSPCA_OV534 > 1.5 & GCC_PLUGIN_CYC_COMPLEXITY > 0.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB <= 0.5 & DRM_I2C_NXP_TDA998X <= 1.5 & USB_STORAGE_REALTEK > 1.5 & LEDS_TRIGGER_MTD <= 0.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 <= 0.5 & USB_MUSB_GADGET <= 0.5 & VIPERBOARD_ADC > 1.5 & KARMA_PARTITION > 0.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND <= 0.5 & SND_SOC_IMX_WM8962 <= 1.5 & BRIDGE_EBT_ARPREPLY > 1.5 & MTD_DOCG3 > 0.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T <= 0.5 & SND_AT73C213 <= 1.5 & USB_SL811_CS <= 1.5 & CHARGER_AXP20X <= 1.5 & DVB_BUDGET > 1.5 & SERIAL_CLPS711X_CONSOLE > 0.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX <= 1.5 & TYPEC_WCOVE <= 1.5 & GPIOLIB <= 0.5 & DRM_I2C_NXP_TDA998X > 1.5 & F2FS_STAT_FS > 0.5'}\n",
      "\n",
      "ErrorLog.BLACKLIGHT2 => {'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS > 1.5 & USB_PULSE8_CEC > 0.5 & REGMAP_MMIO > 0.5 & FUSION_LAN > 0.5 & USB_F_TCM > 0.5 & EDAC_PND2 > 0.5 & NET_ACT_CONNMARK <= 1.5 & I2C_EG20T > 0.5 & INFINIBAND_QEDR <= 1.5 & SND_AT73C213 > 0.5 & VIDEO_SOLO6X10 > 1.5 & MEMCG_SWAP_ENABLED > 0.5 & SERIAL_KGDB_NMI > 0.5'}\n",
      "\n",
      "ErrorLog.CONFIG_NLS_DEFAULT => {'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA <= 1.5 & TCM_USER2 > 1.5 & NLS_MAC_GAELIC > 0.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA <= 1.5 & TCM_USER2 <= 1.5 & SCSI_AIC94XX <= 1.5 & ZRAM > 1.5 & CRYPTO_RMD128 > 1.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA > 1.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 > 0.5 & NLS <= 1.5 & PARIDE_EPIA <= 1.5 & TCM_USER2 <= 1.5 & SCSI_AIC94XX > 1.5'}\n",
      "\n",
      "ErrorLog.CRC32_CLUSTER => {'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 <= 0.5 & MCP4725 > 1.5'}\n",
      "\n",
      "ErrorLog.V4L2 => {'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS <= 0.5 & DVB_DUMMY_FE > 1.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS <= 0.5 & I40EVF > 0.5 & VIDEO_XILINX_TPG <= 0.5 & SOLARIS_X86_PARTITION > 0.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN <= 0.5 & SND_MXS_SOC > 1.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN <= 0.5 & SND_MXS_SOC <= 1.5 & INTEGRITY_ASYMMETRIC_KEYS > 0.5', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC <= 0.5 & VIDEO_MUX > 1.5 & VIDEO_V4L2 <= 1.0', 'AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR > 0.5 & UBSAN_SANITIZE_ALL <= 0.5 & VIDEO_XILINX_VTC > 0.5 & CRC32 > 0.5 & VIDEO_S5P_MIPI_CSIS > 0.5 & VIDEO_RCAR_VIN > 0.5 & XEN_PCIDEV_FRONTEND > 0.5 & VME_CA91CX42 <= 0.5 & PWRSEQ_SD8787 <= 1.5 & VIDEO_MUX > 1.5 & FB_TFT_ST7735R <= 0.5'}\n",
      "\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-69-b55542705782>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      8\u001b[0m         \u001b[0;31m# path = find_rule_for_configuration_id(cid)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m         \u001b[0;31m# path = find_rule_for_configuration(clf, rawtuxdata.drop(columns=pattern_name).drop(columns=[\"cid\"]).drop(columns=size_methods).drop(columns=compilation_status_column_name).columns, rawtuxdata.query(\"cid == \" + str(cid)).iloc[0])\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m         \u001b[0mpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfind_rule_for_configuration\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrawtuxdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpattern_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"cid\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcompilation_status_column_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrawtuxdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"cid == \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m         \u001b[0mpath_clusters\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[1;32m   3695\u001b[0m                                            \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3696\u001b[0m                                            \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minplace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minplace\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3697\u001b[0;31m                                            errors=errors)\n\u001b[0m\u001b[1;32m   3698\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3699\u001b[0m     @rewrite_axis_style_signature('mapper', [('copy', True),\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[1;32m   3109\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;32min\u001b[0m \u001b[0maxes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3110\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3111\u001b[0;31m                 \u001b[0mobj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_drop_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3112\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3113\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0minplace\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m_drop_axis\u001b[0;34m(self, labels, axis, level, errors)\u001b[0m\n\u001b[1;32m   3142\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3143\u001b[0m                 \u001b[0mnew_axis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3144\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0maxis_name\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnew_axis\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3145\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3146\u001b[0m         \u001b[0;31m# Case for non-unique axis\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    185\u001b[0m         \u001b[0;34m@\u001b[0m\u001b[0mwraps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    186\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 187\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    188\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    189\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mPY2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36mreindex\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   3564\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'axis'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3565\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'labels'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3566\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3567\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3568\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mAppender\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_shared_docs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'reindex_axis'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0m_shared_doc_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mreindex\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   3687\u001b[0m         \u001b[0;31m# perform the reindex on the axes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3688\u001b[0m         return self._reindex_axes(axes, level, limit, tolerance, method,\n\u001b[0;32m-> 3689\u001b[0;31m                                   fill_value, copy).__finalize__(self)\n\u001b[0m\u001b[1;32m   3690\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3691\u001b[0m     def _reindex_axes(self, axes, level, limit, tolerance, method, fill_value,\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_reindex_axes\u001b[0;34m(self, axes, level, limit, tolerance, method, fill_value, copy)\u001b[0m\n\u001b[1;32m   3494\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcolumns\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3495\u001b[0m             frame = frame._reindex_columns(columns, method, copy, level,\n\u001b[0;32m-> 3496\u001b[0;31m                                            fill_value, limit, tolerance)\n\u001b[0m\u001b[1;32m   3497\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3498\u001b[0m         \u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'index'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_reindex_columns\u001b[0;34m(self, new_columns, method, copy, level, fill_value, limit, tolerance)\u001b[0m\n\u001b[1;32m   3519\u001b[0m         return self._reindex_with_indexers({1: [new_columns, indexer]},\n\u001b[1;32m   3520\u001b[0m                                            \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfill_value\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfill_value\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3521\u001b[0;31m                                            allow_dups=False)\n\u001b[0m\u001b[1;32m   3522\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3523\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_reindex_multi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfill_value\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m_reindex_with_indexers\u001b[0;34m(self, reindexers, fill_value, copy, allow_dups)\u001b[0m\n\u001b[1;32m   3808\u001b[0m                                                 \u001b[0mfill_value\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfill_value\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3809\u001b[0m                                                 \u001b[0mallow_dups\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mallow_dups\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3810\u001b[0;31m                                                 copy=copy)\n\u001b[0m\u001b[1;32m   3811\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3812\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcopy\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mnew_data\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mreindex_indexer\u001b[0;34m(self, new_axis, indexer, axis, fill_value, allow_dups, copy)\u001b[0m\n\u001b[1;32m   4419\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0maxis\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4420\u001b[0m             new_blocks = self._slice_take_blocks_ax0(indexer,\n\u001b[0;32m-> 4421\u001b[0;31m                                                      fill_tuple=(fill_value,))\n\u001b[0m\u001b[1;32m   4422\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4423\u001b[0m             new_blocks = [blk.take_nd(indexer, axis=axis, fill_tuple=(\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36m_slice_take_blocks_ax0\u001b[0;34m(self, slice_or_indexer, fill_tuple)\u001b[0m\n\u001b[1;32m   4499\u001b[0m                     blocks.append(blk.take_nd(blklocs[mgr_locs.indexer],\n\u001b[1;32m   4500\u001b[0m                                               \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnew_mgr_locs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmgr_locs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4501\u001b[0;31m                                               fill_tuple=None))\n\u001b[0m\u001b[1;32m   4502\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4503\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mblocks\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mtake_nd\u001b[0;34m(self, indexer, axis, new_mgr_locs, fill_tuple)\u001b[0m\n\u001b[1;32m   1252\u001b[0m             \u001b[0mfill_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfill_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1253\u001b[0m             new_values = algos.take_nd(values, indexer, axis=axis,\n\u001b[0;32m-> 1254\u001b[0;31m                                        allow_fill=False)\n\u001b[0m\u001b[1;32m   1255\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1256\u001b[0m             \u001b[0mfill_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfill_tuple\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/core/algorithms.py\u001b[0m in \u001b[0;36mtake_nd\u001b[0;34m(arr, indexer, axis, out, fill_value, mask_info, allow_fill)\u001b[0m\n\u001b[1;32m   1657\u001b[0m     func = _get_take_nd_function(arr.ndim, arr.dtype, out.dtype, axis=axis,\n\u001b[1;32m   1658\u001b[0m                                  mask_info=mask_info)\n\u001b[0;32m-> 1659\u001b[0;31m     \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfill_value\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1660\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1661\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mflip_order\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "cluster_to_paths = []\n",
    "for cluster in ErrorLog:\n",
    "    configs_cluster = rawtuxdata.query(cluster.name + \" == True \" + \"& compile_success == 0\")\n",
    "    path_clusters = []\n",
    "    for ind, cfg in configs_cluster.iterrows():  \n",
    "        cid = cfg['cid']\n",
    "        # print(cid)\n",
    "        # path = find_rule_for_configuration_id(cid)       \n",
    "        # path = find_rule_for_configuration(clf, rawtuxdata.drop(columns=pattern_name).drop(columns=[\"cid\"]).drop(columns=size_methods).drop(columns=compilation_status_column_name).columns, rawtuxdata.query(\"cid == \" + str(cid)).iloc[0])        \n",
    "        path = find_rule_for_configuration(clf, rawtuxdata.drop(columns=pattern_name).drop(columns=[\"cid\"]).drop(columns=compilation_status_column_name).columns, rawtuxdata.query(\"cid == \" + str(cid)).iloc[0])        \n",
    "        path_clusters.append(path)\n",
    "                \n",
    "    print(cluster, \"=>\", set(path_clusters))\n",
    "    print()\n",
    "    cluster_to_paths.append({ cluster : set(path_clusters) })\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#cluster_to_paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>compile_success</th>\n",
       "      <th>AICDB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10691</th>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28848</th>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31337</th>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37153</th>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53540</th>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       compile_success  AICDB\n",
       "10691                0   True\n",
       "28848                0   True\n",
       "31337                0   True\n",
       "37153                0   True\n",
       "53540                0   True"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# AIC79XX_BUILD_FIRMWARE <= 0.5 & AIC7XXX_BUILD_FIRMWARE <= 0.5 & WANXL_BUILD_FIRMWARE <= 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO > 1.5\n",
    "rawtuxdata.query(\"AIC79XX_BUILD_FIRMWARE > 0.5 & GENERIC_ALLOCATOR <= 0.5 & DRM_VBOXVIDEO > 1.5\")[['compile_success', ErrorLog.AICDB.name]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    13\n",
       "1    13\n",
       "2    13\n",
       "3    13\n",
       "4    13\n",
       "5    13\n",
       "6    13\n",
       "7    13\n",
       "8    13\n",
       "9    13\n",
       "Name: cluster_errorfirst, dtype: int64"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata['cluster_errorfirst'][:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[30704],\n",
       "       [30717],\n",
       "       [30718],\n",
       "       [30722],\n",
       "       [30726],\n",
       "       [30731],\n",
       "       [30737],\n",
       "       [30806],\n",
       "       [30811],\n",
       "       [30849],\n",
       "       [30879],\n",
       "       [30886],\n",
       "       [30891],\n",
       "       [30901],\n",
       "       [30904],\n",
       "       [30917],\n",
       "       [30927],\n",
       "       [30959],\n",
       "       [30964],\n",
       "       [30971],\n",
       "       [31012],\n",
       "       [31041],\n",
       "       [31070],\n",
       "       [31098],\n",
       "       [31102],\n",
       "       [31106],\n",
       "       [31119],\n",
       "       [31124],\n",
       "       [31158],\n",
       "       [31177],\n",
       "       [31188],\n",
       "       [31199],\n",
       "       [31200],\n",
       "       [31203],\n",
       "       [31237],\n",
       "       [31260],\n",
       "       [31262],\n",
       "       [31268],\n",
       "       [31281],\n",
       "       [31298],\n",
       "       [31299],\n",
       "       [31316],\n",
       "       [31318],\n",
       "       [31327],\n",
       "       [31334],\n",
       "       [31335],\n",
       "       [31336],\n",
       "       [31364],\n",
       "       [31390],\n",
       "       [31393],\n",
       "       [31399],\n",
       "       [31411],\n",
       "       [31413],\n",
       "       [31416],\n",
       "       [31420],\n",
       "       [31427],\n",
       "       [31445],\n",
       "       [31461],\n",
       "       [31493],\n",
       "       [31536],\n",
       "       [31567],\n",
       "       [31600],\n",
       "       [31628],\n",
       "       [31658],\n",
       "       [31687],\n",
       "       [31717],\n",
       "       [31738],\n",
       "       [31741],\n",
       "       [31745],\n",
       "       [31766],\n",
       "       [31786],\n",
       "       [31799],\n",
       "       [31802],\n",
       "       [31803],\n",
       "       [31816],\n",
       "       [31843],\n",
       "       [31883],\n",
       "       [31899],\n",
       "       [31905],\n",
       "       [31909],\n",
       "       [31935],\n",
       "       [31986],\n",
       "       [32006],\n",
       "       [32031],\n",
       "       [32034],\n",
       "       [32050],\n",
       "       [32054],\n",
       "       [32120],\n",
       "       [32157],\n",
       "       [32161],\n",
       "       [32196],\n",
       "       [32197],\n",
       "       [32207],\n",
       "       [32209],\n",
       "       [32234],\n",
       "       [32236],\n",
       "       [32240],\n",
       "       [32266],\n",
       "       [32284],\n",
       "       [32290],\n",
       "       [32292],\n",
       "       [32305],\n",
       "       [32318],\n",
       "       [32326],\n",
       "       [32394],\n",
       "       [32401],\n",
       "       [32419],\n",
       "       [32430],\n",
       "       [32446],\n",
       "       [32456],\n",
       "       [32457],\n",
       "       [32460],\n",
       "       [32484],\n",
       "       [32508],\n",
       "       [32525],\n",
       "       [32565],\n",
       "       [32619],\n",
       "       [32628],\n",
       "       [32711],\n",
       "       [32761],\n",
       "       [32790],\n",
       "       [32798],\n",
       "       [32808],\n",
       "       [32831],\n",
       "       [32979],\n",
       "       [33003],\n",
       "       [33054],\n",
       "       [33065],\n",
       "       [33077],\n",
       "       [33093],\n",
       "       [33110],\n",
       "       [33117],\n",
       "       [33120],\n",
       "       [33145],\n",
       "       [33150],\n",
       "       [33174],\n",
       "       [33193],\n",
       "       [33283],\n",
       "       [33353],\n",
       "       [33375],\n",
       "       [33383],\n",
       "       [33410],\n",
       "       [33424],\n",
       "       [33449],\n",
       "       [33466],\n",
       "       [33476],\n",
       "       [33532],\n",
       "       [33534],\n",
       "       [33546],\n",
       "       [33573],\n",
       "       [33574],\n",
       "       [33592],\n",
       "       [33648],\n",
       "       [33658],\n",
       "       [33674],\n",
       "       [33684],\n",
       "       [33689],\n",
       "       [33695],\n",
       "       [33728],\n",
       "       [33772],\n",
       "       [33809]])"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata.query(\"cluster_errorfirst == \" + str(le_cluster.transform([ErrorLog.AIC7XXX.name])[0]))[['cid']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "# del cluster_errorfirst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0])"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "le_cluster.transform([ErrorLog.AIC7XXX.name])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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sfOBU2kfJZuZPKMHjsnb+4GDL3SiPZL2D8ljI44E/Dsz/KmNou88cTbl706UL1ffjT/3lP0JpXX37wDL7D7Ru9ndReiOlf/YPKV16jmnf73jHdC/ge1nGCN0y8kV5bO1rImK1cdaf8L4z86YsY2HGczclXFwe5e9B/JAyHuZzY641Pb5GuXt1OaXF+tR22mKyjFN5G2VMxELKz8CZlC4ox0XE5mPs59KBc+CwiFiZcj6+NzPvbPdxKyXwHB4R/2eibybL+KKjKZ8/ewDzM/PHA+fIl4BNosMT05bQqZQukvsMqe+3WZ5YNZqzKGMJ+s+zc9tp/Z95S3r+fx7YdyQIU8ZsDN59eGOXN5mZF2fmeyhdOMf8XOlgZUpguIvy++FVwI6ZOdJV67nAf0XEfZQAchXt8W3Dx99RAtctfe9jt3b+OgN393YALmu39QNKiP7sE6xfUiUxvFuvVE/bgnZTZn50CdefRwkJyy3h3YhJFRGvAJrMXJKndo237eOB/8nMT7QXF2cBm4/R/UySJOl/DcOGplQbFOZTLpgXPIFt/K8JG5MpyniJOynv7xWUJ+JsnZm/nNbCJEmSloDdqDRlIuJTlG4en1/SoDEL/BmlW8u9lK4i71rag8YYA027/B0PaVQR8dVRzq0n2iVIkjRJvLMhSZIkqQrvbEiSJEmqwrAhSZIkqYplp7uA2WrOnDk5b9686S5DkiRNkosvvvj2zOzy1+2lWcOwMU3mzZvHRReN9ah2SZK0NImIsf7gqjQr2Y1KkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUsO90FzFaX/24h8w44dbrLkCRp1rj2oFdPdwnSrOOdDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklTFuGEjirWnohhJkiRJM8e4YSMzE/jBFNQiSZIkaQbp2o3qkoh4QdVKJEmSJM0oy3Zcbitgt4i4DrgPCMpNj02qVSZJkiRpqdY1bLyyahWSJEmSZpxO3agy8zpgbWD79vv7u64rSZIkaXbqFBgi4hPAh4APt5OWA46pVZQkSZKkpV/XuxNvAF5HGa9BZt4ErFyrKEmSJElLv65h46H2EbgJEBFPqVeSJEmSpJmga9g4ISK+BqwaEfsAPwW+Xq8sSZIkSUu7Tk+jyswvRMTLgT8AGwIfz8yfVK1MkiRJ0lKtU9iIiIMz80PAT4ZMkyRJkqTFdO1G9fIh03aczEIkSZIkzSxjho2IeFdEXA5sGBGX9X0tAC4bZ9172383i4jzI+KKdt239i2zXEQcFBG/iYhL2uVGDTERsVJEfC0ifhsRF0fEmRGxVf/+BpY/MiLeNEpdy0TElyLiVxFxeUT8IiLWi4gLI2J+RFwfEbe138+PiHkRcW277Mi0L/XtZ0E77dKI2GGsYyNJkiTNBuN1ozoWOA34J+CAvun3ZOadHfdxP7BnZv4mItYALo6IH2Xm3cCngLnAxpn5x4hYHdhmjG19HVgAbJCZj0XEesBzO9Yx6K3AGsAm7bbWAu7LzJHwsjewZWa+e2SFiADYLjNvH7K9/TLzpIjYDjgc2GAJ65IkSZJmhDHDRmYuBBZGxEeBW9pAsC2wSUQc3QaGMWXmr/u+vykibgWeEREPAfsA62XmH9v5vwdOGLadiHgWsBWwW2Y+1i6/gBI+lsRc4Oa+bd24hNsZdD6w5iRtS5IkSVpqdR2z8R/AoxGxPqXVfm3KXY8JiYgXAssDvwXWB67PzD90XH0jYH5mPjrR/Y7iBOC1bdenQyJi847rndHXjer9Q+a/CvjusBUjYt+IuCgiLnr0/oVLWrckSZK0VOj0NCrgscx8JCL+GviXzPyXiPjlRHYUEXOBbwF7td2WJlrrksjRpmXmjRGxIbB9+3V6RLw5M08fZ5ujdaP6fER8FlgL2HpoMZmHU8IaK8zdYFhtkiRJ0ozR9c7GwxGxK7AncEo7bbmuO4mIpwKnAh/JzAvayVcD67TzurgC2DQintR1v8AdwNP66lgNeDwoZOYfM/O0zNwP+Cyw8wS2PWi/zHw28CHgiCewHUmSJGlG6Bo23k5prf9MZi5oB2Z/q8uKEbE88B3g6Mw8aWR6Zt4PfAP453YZIuIZEfHmYdvJzN8CFwH/GO1tkfYJUa8eY/dnAm8d2T6wN3BGu+4W7YB1ImIZYBPgui7vaRxfBpaJiFdOwrYkSZKkpVansJGZV2bmezPzuPb1gsw8uOM+3gK8DNi7b6zDZu28jwK3AVdGxK8od03GGsPxt8DqwNXt8kcCt7bznhwRN/Z9fSAzTwHOoTwBaz7wYsqdB4BnAt9vt3MZ8AglKIynf8zG0YMzMzOBTwP7d9iWJEmSNGNFuTYeZ6HydzUWWzAz/7xGUbPBCnM3yLl7HTbdZUiSNGtce9BYnSGeuIi4ODO3rLoTaSnTdYB4/w/OisCbgdUmvxxJkiRJM0WnsJGZdwxMOiwiLgY+PvklQURcCKwwMHmPzLy8xv4kSZIkTb5OYSMituh7uQzlTkfXuyITNvJXvCVJkiQtvboGhkP6vn8EuJYy8FuSJEmShurajWq72oVIkiRJmlnGDBsR8YGx5mfmoZNbjiRJkqSZYrw7GyuPMW/8Z+ZKkiRJmrXGDBuZ+Y8AEXEU8L7MvLt9/TQWHcchSZIkSYvo9BfEgU1GggZAZt4FbF6nJEmSJEkzQdewsUx7NwOAiFiNio++lSRJkrT0m8ijb8+PiBPb128GPlOnJEmSJEkzQddH3x4dERcB27eT/jozr6xXliRJkqSlXeeuUG24MGBIkiRJ6qTrmA1JkiRJmhDDhiRJkqQqDBuSJEmSqjBsSJIkSarCsCFJkiSpCsOGJEmSpCr8K+CSJEnSJGmaZkPgeOBZwEd6vd6Xxlh2Hcqfllil1+s92jTNmcAxvV7v61NS7BQwbEiSJEkT1DTNz4HdgUeAk3q93hbtrP2BM3q93mbjbaPX610PrFSvysnVNM2ngJ2B5wCf7vV6B463jt2oJEmSpAlommY5YF3gN8DzgUv6Zq8LXDHF9UTTNFNxXX81JUyd2nUF72xIkiRJE7MxcGWv18umabakDRtN0/wM2AZ4SdM0hwFbABsAn6Z0q1oIfGPkjkDTNPOABcByvV7vkf4dNE1zILB+r9fbfdiybZer84Bt2/08r2ma24BDgZ2Ax4BvAp9ou2itD3wD2Ax4GDi91+u9dSJvutfrHdXWslvXdQwbkiRJUgdN07wd+CKwPLBM0zR3U7pBPdA0zWeBzSkX+I+Pu2iaZg1gT8rdjo2BnzRNM7/X6313EkraA9gRuAoI4ATgVmB94CnAKcANwNeATwE/BrZr69+y731dBqwzyj6O7fV6zZIWaNiQJEmSOuj1et8Evtk0zTnAe4A7gZOBzXu9XgI0TTO4zpl9Ly9rmuY4yt2PyQgbR/Z6vSva/a5OuaOxaq/XewC4r2maLwL7UsLGw5QuXmv0er0bgXP7atxkEmoZyrAhSZIkjaNpmtWAayh3EFYCzgRWaGff1TTNgb1e77Ah620FHES5q7F8u86Jk1TWDX3frwssB9zcF3iW6Vtmf8rdjZ83TXMXcEiv1ztikuoYlWFDkiRJGkev17sTWLVpml2A7Xq93t81TfMd4Cu9Xu+nY6x6LPBlYMder/dgO5ZjTodd3gc8ue/1nw1ZJvu+vwH4IzBncPxHW/8twD4ATdO8BPhp0zRn93q9q5umuYISVoY5ptfrvbNDvUMZNiRJkqTu+p8+tTlw8TjLrwzc2QaNFwJvo4ydGM984EPt3+JYCHx4rIV7vd7NTdP8GDikaZqPAfcC6wFr9Xq9s5qmeTNwftuF6i5KUHmsXXejDvWMPIXrSZQ7Jss2TbMi8HCv13t0tHV89K0kSZLU3fOBS5qmeTrwaK/Xu2uc5Rvgk03T3AN8nDKIe1y9Xu8nlD8OeBkl0JzSYbU9KV21rqQEipOAue28FwAXNk1zL2Wcyft6vd41XWrp82/AA8CuwEfa7/cYa4XIzLHmq5IV5m6Qc/darFufJEmq5NqDXl11+xFxcWZuOf6S0uzhnQ1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFctOdwGz1fPWXIWLDnr1dJchSZIkVeOdDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVIVhQ5IkSVIVhg1JkiRJVRg2JEmSJFVh2JAkSZJUhWFDkiRJUhWGDUmSJElVGDYkSZIkVWHYkCRJklSFYUOSJElSFYYNSZIkSVUYNiRJkiRVYdiQJEmSVEVk5nTXMCtFxD3AVdNdxyw2B7h9uouYxTz+08djP71z7qTeAAAEMklEQVQ8/tOr9vFfNzOfUXH70lJn2ekuYBa7KjO3nO4iZquIuMjjP308/tPHYz+9PP7Ty+MvTT27UUmSJEmqwrAhSZIkqQrDxvQ5fLoLmOU8/tPL4z99PPbTy+M/vTz+0hRzgLgkSZKkKryzIUmSJKkKw0ZlEfGqiLgqIq6OiAOGzF8hIo5v518YEfOmvsqZq8Px/0BEXBkRl0XE6RGx7nTUOVONd/z7lntjRGRE+JSYSdLl2EfEW9rz/4qIOHaqa5zJOnz2rBMRZ0TEL9vPn52mo86ZKCKOiIhbI+JXo8yPiPhS+39zWURsMdU1SrOJYaOiiHgS8BVgR+C5wK4R8dyBxd4B3JWZ6wNfBA6e2ipnro7H/5fAlpm5CXAS8LmprXLm6nj8iYiVgfcBF05thTNXl2MfERsAHwZenJkbAf9vygudoTqe+x8FTsjMzYFdgN7UVjmjHQm8aoz5OwIbtF/7Av86BTVJs5Zho64XAldn5jWZ+RDw78DrB5Z5PXBU+/1JwA4REVNY40w27vHPzDMy8/725QXAWlNc40zW5fwH+BQlZD84lcXNcF2O/T7AVzLzLoDMvHWKa5zJuhz/BJ7afr8KcNMU1jejZebZwJ1jLPJ64OgsLgBWjYi5U1OdNPsYNupaE7ih7/WN7bShy2TmI8BC4OlTUt3M1+X493sHcFrVimaXcY9/231h7cw8dSoLmwW6nPvPBp4dEedFxAURMVZLsCamy/E/ENg9Im4EfgC8Z2pKExP/3SDpCfAviEtAROwObAlsM921zBYRsQxwKLD3NJcyWy1L6UayLeWO3tkR8bzMvHtaq5o9dgWOzMxDImJr4FsRsXFmPjbdhUnSZPLORl2/A9bue71WO23oMhGxLOV2+h1TUt3M1+X4ExF/BXwEeF1m/nGKapsNxjv+KwMbA2dGxLXAi4CTHSQ+Kbqc+zcCJ2fmw5m5APg1JXzoiety/N8BnACQmecDKwJzpqQ6dfrdIGlyGDbq+gWwQUSsFxHLUwYBnjywzMnAXu33bwJ+lv7xk8ky7vGPiM2Br1GChn3WJ9eYxz8zF2bmnMycl5nzKGNmXpeZF01PuTNKl8+e71LuahARcyjdqq6ZyiJnsC7H/3pgB4CIeA4lbNw2pVXOXicDe7ZPpXoRsDAzb57uoqSZym5UFWXmIxHxbuBHwJOAIzLzioj4JHBRZp4MfINy+/xqyoC2Xaav4pml4/H/PLAScGI7Lv/6zHzdtBU9g3Q8/qqg47H/EfCKiLgSeBTYLzO9qzoJOh7/DwL/FhHvpwwW39uGpskREcdRgvScdkzMJ4DlADLzq5QxMjsBVwP3A2+fnkql2cG/IC5JkiSpCrtRSZIkSarCsCFJkiSpCsOGJEmSpCoMG5IkSZKqMGxIkiRJqsKwIUmSJKkKw4YkSZKkKgwbkiRJkqr4/wa274GqM/GyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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RbpKcxLl0rpZFxIMoB7zDbiIlIs6NZZ/0NPX66EzLDan/vpTQcWxmvmuati+iXA0iMz8KfILS9WEnJguzUzewrugjtg+v9Qyb57eBPWOgm03Hd4EHRsS2K9iGYesn3Bk8tufO4PG9zrBuN6t9KL8hX4uIyyj3gK3BiO5Wsy3LjcPnUdbjrv0oJ1Yuqu36EuV7f8GIei6ndI0Z2R1rBe1B2R+fPqpARGwWEe8AfkO5Efocyn0I/9Qpc8KYbeSEWWprdxs5jnIF8ZuUrrWD3XeH+Rzl+zh+4ITT8toT+HEu25VppMz8EaWL1lbTlR2Y7o56Ne67lPsBb6Y86OHZYyZbnn36gcBLKb9JI435rm+MiH+eabkBg/vxNSlX23wwj9rLu8GNJrP5onPTdX1/BXfehPiY+n7qhvG1KWf/d6fsbA+k/EAMu7n8XpSbOjcfmN+GlDNZFwI7jGnXAZRL+ZtQfhSP7tS9lHJweESdz5a1nU+u419OOWheZdjnnLDuRaOW0UA7twF+NTAsge9QzsBtSHnayMvquF0pZ3U2qsvzq935UXa876F00Xgc5XJu9+byxwM/n+Y7DcpBzQUM3OjHmJvLKWdwnk7pu/rZTplDGXFzeR3/dcpBwpaUmyQfW5fvyJsM63T3Bd5GCVKrUM54fRn4Vh2/OqU/8vH1e1mN0hf6cuB1A59hN8pB3NRr0Qymfzuln/b9apu+RznTD/UqFLB9Z9meTOmKNzX9anWeR1Judl4DWLWO25LyoIbtKTckHg58YZ629fvU7+kjE5bvU7oJPaguz13qZ/klo2+4/vP6VZfVzsA69f07mdnN5e+sf69T64n6vntz+Tr1+/8c9YELlAOU9wMP73yO8yjb3j3rOroDAzdYz3T9rGU2p+wDr+DOm2BXoWzjV9O5Mb8ut4MoJxumXs+kHHCtO90yGdPO6W4u7+4/nlDblnV+G1D2008eaNfBwJkj9hnrUg4gvzjwXa7JXbfBVQbnP67t9bt8IWX7fPuYaT5dP8OHKVcDZns7Gbk9Dyn7eu68524VSlfZi+r6sPGIaXakc2M45X7CB9S/73ID9ajvtlsHZTvbgPJ7/Afq7+CYz/c3lAP5+9X3W1BOhLx5oNwy3x0lFO5F2TaCcoxwJfDCOv7xlKsDr6M+HKAumy/Uv2eyT9+l8/4TlO3ppHGfrdWLcoL1ekpAWoPSte+0+WiLr5XvNe8NmPUPtGzweA4lFNxAucT5Ee76w7U/5cz8FZSbvv68gxjcUVEO6K6kXPZ9bGf4t+t0MaZdq1D6d15c6zicO59us5S7PtXqMuD1nWnXpRycXEs5+3OXzzlh3RMFjzr+R8B2nffJnU+1uprSP3zVzvhD6jI5j/ID0A0eD6Yc+N5ACS8fBz41MO0/TPC9HlTr3W5g+P4sGzxuqfO7nnLG6pUD7T2UckP0jZ3XVZ3xUzvii2td51EujQ990lBnujUpV2cuqHVeRrmnaINOmXUoj6O9vNZ97uB3UafPgdc7ZzD9apSD0+tqGz4ErFHHHUPpktQt/5C6rLbsLJ/B+e/fKf8CysHITZSguc48bev71bbdNPBdbjSi/D0pT5a6pJY7hRIAjqKc5VxtyDR3Wb8Gxg0LHjcOvF7TWaajnqT25+BR3z+AcjB6WV2Pf0E5CLtXHR+U7fGcug5cSnnc5/PGraOTrJ+13KXA2QPDjqc8WW/N+v6xlIPCYU/wO5fS3WZqmSxP8Bj8Tj/Y2Q8MHjwez53B443UgDFQ5gG1/VvV7/T2Tt1X1OUwdeA61e7B1y51/rey7Pd8vyFtv4by/xS9YJrP+xg6T91qsJ0cOuSz7D+i7CqUq6Dn18/xE8r9Mu+l3Cy+9pBpdmTIE6nquJkEjzvqcruJ8jt4NJ3f2TGfbyvKVfDL6/QXUPbfqw2UG7bu7ED5XbqKsq39is5vb+f7OYGyj7yGcvJi3874Sffp3eCxIWX7OWm6z9dwvdiFsm+5hXJMsHS+2uJr5XpNnXHTCoiIT1OeQT54A++k0y+lXGJfLe/6fPx5ERFPBnqZuTxP/5qu7i9S+tkeGBH3oxwwbZ2ju6hJkiRpATB4rKAaGs6iHDz/ZgXquNsEj9lU76+4hvL5nkw54/64zFzRR2pKkiTpL8jKcHN5M/VmwJ9RngKyXKFjJfBXlMu4N1K6/LziLz10jLmRb5L/J0Rq6u6+fkbE9qPaON9t092T64y0cHjFQ5IkSVJzXvGQJEmS1JzBQ5IkSVJzi+a7AYIlS5bk0qVL57sZkiRpFpx55plXZfmf1CV1GDzuBpYuXcoZZ5wx382QJEmzICIunO82SHdHdrWSJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNWfwkCRJktScwUOSJElScwYPSZIkSc0ZPCRJkiQ1Z/CQJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNWfwkCRJktScwUOSJElScwYPSZIkSc0ZPCRJkiQ1Z/CQJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNWfwkCRJktScwUOSJElScwYPSZIkSc0ZPCRJkiQ1Z/CQJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNWfwkCRJktScwUOSJElScwYPSZIkSc0ZPCRJkiQ1Z/CQJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNWfwkCRJktScwUOSJElScwYPSZIkSc0ZPCRJkiQ1Z/CQJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnOL5rsBgnN+ez1L3/j1+W6GJEkrhQsO3n2+myCtlLziIUmSJKk5g4ckSZKk5gwekiRJkpozeEiSJElqzuAhSZIkqTmDhyRJkqTmDB6SJEmSmjN4SJIkSWrO4CFJkiSpOYOHJEmSpOYMHpIkSZKaM3hIkiRJas7gIUmSJKk5g4ckSZKk5gwekiRJkpozeEiSJElqzuAhSZIkqTmDhyRJkqTmDB6SJEmSmjN4SJIkSWrO4CFJkiSpOYOHJEmSpOYMHpIkSZKaM3hIkiRJas7gIUmSJKk5g4ckSZKk5gwekiRJkpozeEiSJElqzuAhSZIkqTmDhyRJkqTmDB6SJEmSmjN4SJIkSWrO4CFJkiSpOYOHJEmSpOYMHpIkSZKaM3hIkiRJas7gIUmSJKk5g4ckSZKk5gwekiRJkpozeEiSJElqzuAhSZIkqTmDhyRJkqTmDB6SJEmSmjN4SJIkSWrO4CFJkiSpOYOHJEmSpOYMHpIkSZKaM3hIkiRJas7gIUmSJKk5g4ckSZKk5gwekiRJkpqbNnhEseFcNEaSJEnSwjRt8MjMBI6fg7ZIkiRJWqAm7Wr144h4dNOWSJIkSVqwFk1YbjvghRFxIXATEJSLIQ9v1jJJkiRJC8akweMpTVshSZIkaUGbqKtVZl4IbAg8qf5986TTSpIkSdJE4SEiDgTeALypDloNOLxVoyRJkiQtLJNetdgTeCbl/g4y83fAWq0aJUmSJGlhmTR4/Kk+VjcBImLNdk2SJEmStNBMGjyOioiPAYsj4qXAt4FPtmuWJEmSpIVkoqdaZea/RcSuwO+BhwBvzcxvNW2ZJEmSpAVjouAREe/OzDcA3xoyTJIkSZLGmrSr1a5Dhu02boKIuD0izoqIn0bEjyPi8XX40oj42YhpFkXElRFx8MDw1SLi4Ij4da3r1IjYrY67ICKW1L8fFRG/iYitI2L/iPjIkHl0y98/Io6MiPMj4sxa75513I4RcdzAtIdGxHMi4iv1s50XEdfXv8+KiMdHxBER8cuI+FlEfDoiVhu3nCRJkqSVwdjgERGviIhzgIdExNmd12+As6ep+5bMfGRmPoLyGN5/naA9uwK/Ap4bEdEZ/g5gfWCrzNwGeBYDT9WKiIcDRwPPz8yfTDejWv8xwMmZ+aDMfBSwF/DA6abNzD0z85HAAcD36ud8ZGb+ADgC2AJ4GHDPWkaSJElaqU3X1epI4ARKaHhjZ/gNmXnNDOZzH+DaCcrtDfw78ArgccAPIuJewEuBTTLzjwCZeTlwVGe6hwKHAftk5ukTtulJlKd1fXRqQP3PET884fRDZebxU39HxOlMEGQkSZKkhW5s8MjM64HrI+ItwGWZ+ceI2BF4eER8NjOvGzP5PSPiLGANytWKJ42bV0SsAewC/B2wmBJCfgBsClyUmb8fM/lXgRdl5inj5jFgS+DH05TZvn6GKRsBx40q3FW7WO0DvHoGbZIkSZIWpEnv8fhP4PaI2BT4OLAh5WrIOFNdrbYAngp8dqD71KCnAydm5i11fs+KiFUnbN+3gQNmUH4ZEXFIvR/lR53B3W5UjwSOnUGVfUo3ru+NmN/LIuKMiDjj9puvX95mS5IkSX8RJg0ed2TmbcDfAh/OzNdRrmJMJDNPBZYA640ptjewS0RcAJwJrEu5SnIesFFE3GfMtK+q//YnbRNwLrBNp42vBHaepo0TiYgDaz2vGVUmMz+emdtm5rar3mvtFZ2lJEmSdLc2afC4NSL2Bvblzq5GEz+tKSK2AFYFrh4x/j7A9sBGmbk0M5cCrwT2zsybgU8B/x4R96jl14uI53aquAN4AbBFRLx9wmZ9F1gjIl7RGXavST/TKBFxAPCU2vY7VrQ+SZIkaSGYNHi8mHKz97sy8zcRsQnwuWmmuefUY2aBLwL7ZebtddxDIuKSqRewJ/DdqZvHq68Cz4iI1YG3AFcCP6+P4j2O8p8Z/llm/gF4JvDMiHhlHbx/dz4R8cBO+aQ8HeuJ9RG8p1NuUF/R/5vko8D9gVPr53/rCtYnSZIk/cWLcvyt+bT6+pvl+vt9cL6bIUnSSuGCg3dvWn9EnJmZ2zadifQXaNL/ufw3wDIJJTMfNOstkiRJkrTgTBQ8gG5qXwN4LrDO7DdHkiRJ0kI00T0emXl15/XbzPwg0PY6pSRJkqQFY9KuVtt03q5CuQIy6dUSSZIkSSu5ScPD+zp/3wZcADxv1lsjSZIkaUGaKHhk5k6tGyJJkiRp4RobPCJi5P+8DZCZ75/d5kiSJElaiKa74rHWmHH+ByCSJEmSJjI2eGTm2wAi4jDg1Zl5XX1/X+5634ckSZIkjTTR43SBh0+FDoDMvBbYuk2TJEmSJC00kwaPVepVDgAiYh18nK4kSZKkCc3kcbqnRsSX6vvnAu9q0yRJkiRJC82kj9P9bEScATypDvrbzPx5u2ZJkiRJWkgm7i5Vg4ZhQ5IkSdKMTXqPhyRJkiQtN4OHJEmSpOYMHpIkSZKaM3hIkiRJas7gIUmSJKk5g4ckSZKk5vzfxyVJkqQGer3eQ4AvAg8G3tzv9z80puxGlP+6Yu1+v397r9c7CTi83+9/ck4aOwcMHpIkSdIK6PV6pwMvAm4Dju73+9vUUa8HTuz3+4+cro5+v38RcO92rZxdvV7vHcCzgIcC7+z3+wdNN41drSRJkqTl1Ov1VgM2Bn4NPAr4cWf0xsC5c9ye6PV6c3GMfx4lWH190gm84iFJkiQtv62An/f7/ez1ettSg0ev1/su8ETgb3q93geBbYDNgHdSul5dD3xq6kpBr9dbCvwGWK3f79/WnUGv1zsI2LTf779oWNnaLev7wI51Pg/r9XpXAu8HngbcAXwGOLB249oU+BTwSOBW4Dv9fv/5M/nQ/X7/sNqWF046jcFDkiRJmqFer/di4APAPYBVer3edZSuUrf0er1/AbamHOz/+T6NXq/3AGBfylWQrYBv9Xq9s/r9/jGz0KR9gN2AXwIBHAVcAWwKrAkcB1wMfAx4B/BNYKfa/m07n+tsYKMR8ziy3+/3lreBBg9JkiRphvr9/meAz/R6ve8Bfw9cAxwLbN3v9xOg1+sNTnNS5+3ZvV7v85SrIrMRPA7t9/vn1vnen3KlY3G/378FuKnX630AeBkleNxK6Qb2gH6/fwlwSqeND5+Ftgxl8JDeAUi2AAAI70lEQVQkSZJmoNfrrQOcT7mycG/gJGD1OvraXq93UL/f/+CQ6bYDDqZc7bhHneZLs9Ssizt/bwysBlzaCT+rdMq8nnLV4/Rer3ct8L5+v//pWWrHSAYPSZIkaQb6/f41wOJer7cXsFO/3/+7Xq/3FeCQfr//7TGTHgl8BNit3+//od77sWSCWd4E3Kvz/q+GlMnO3xcDfwSWDN4vUtt/GfBSgF6v9zfAt3u93sn9fv+8Xq93LiW4DHN4v99/+QTtHcrgIUmSJC2f7lOstgbOnKb8WsA1NXQ8BngB5V6L6ZwFvKH+Xx/XA28aV7jf71/a6/W+Cbyv1+v9P+BGYBPggf1+/797vd5zgVNrN6trKaHljjrtlhO0Z+ppXqtSrqQs6vV6awC39vv920dN4+N0JUmSpOXzKODHvV5vXeD2fr9/7TTle8Dbe73eDcBbKTeAT6vf73+L8h8Rnk0JN8dNMNm+lO5cP6eEi6OB9eu4RwM/7PV6N1LuS3l1v98/f5K2dHwCuAXYG3hz/XufcRNEZo4brzmw+vqb5fr7LdMNUJIkNXDBwbs3rT8izszMbacvKa1cvOIhSZIkqTmDhyRJkqTmDB6SJEmSmjN4SJIkSWrO4CFJkiSpOYOHJEmSpOYMHpIkSZKaM3hIkiRJas7gIUmSJKk5g4ckSZKk5gwekiRJkpozeEiSJElqzuAhSZIkqTmDhyRJkqTmDB6SJEmSmjN4SJIkSWrO4CFJkiSpOYOHJEmSpOYMHpIkSZKaM3hIkiRJas7gIUmSJKk5g4ckSZKk5gwekiRJkpozeEiSJElqzuAhSZIkqTmDhyRJkqTmDB6SJEmSmjN4SJIkSWrO4CFJkiSpOYOHJEmSpOYMHpIkSZKaM3hIkiRJam7RfDdA8LAN1uaMg3ef72ZIkiRJzXjFQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNWfwkCRJktScwUOSJElScwYPSZIkSc0ZPCRJkiQ1Z/CQJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNWfwkCRJktScwUOSJElScwYPSZIkSc0ZPCRJkiQ1Z/CQJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNWfwkCRJktScwUOSJElScwYPSZIkSc0ZPCRJkiQ1Z/CQJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNWfwkCRJktScwUOSJElScwYPSZIkSc0ZPCRJkiQ1Z/CQJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNWfwkCRJktScwUOSJElScwYPSZIkSc0ZPCRJkiQ1Z/CQJEmS1JzBQ5IkSVJzBg9JkiRJzRk8JEmSJDVn8JAkSZLUnMFDkiRJUnMGD0mSJEnNGTwkSZIkNReZOd9tWOlFxA3AL+e7HSupJcBV892IlZjLf365/OePy35+tV7+G2fmeg3rl/4iLZrvBgiAX2bmtvPdiJVRRJzhsp8/Lv/55fKfPy77+eXyl+aHXa0kSZIkNWfwkCRJktScwePu4ePz3YCVmMt+frn855fLf/647OeXy1+aB95cLkmSJKk5r3hIkiRJas7gMYci4qkR8cuIOC8i3jhk/OoR8cU6/ocRsXTuW7kwTbDsXxMRP4+IsyPiOxGx8Xy0c6Gabvl3yj07IjIifNrMLJlk2UfE8+r6f25EHDnXbVzIJtj3bBQRJ0bET+r+52nz0c6FKCI+HRFXRMTPRoyPiPhQ/W7Ojoht5rqN0srG4DFHImJV4BBgN+Cvgb0j4q8Hir0EuDYzNwU+ALx7blu5ME247H8CbJuZDweOBt4zt61cuCZc/kTEWsCrgR/ObQsXrkmWfURsBrwJeEJmbgn845w3dIGacN1/C3BUZm4N7AX057aVC9qhwFPHjN8N2Ky+Xgb8xxy0SVqpGTzmzmOA8zLz/Mz8E/AFYI+BMnsAh9W/jwZ2joiYwzYuVNMu+8w8MTNvrm9PAx44x21cyCZZ9wHeQQnbf5jLxi1wkyz7lwKHZOa1AJl5xRy3cSGbZPkncJ/699rA7+awfQtaZp4MXDOmyB7AZ7M4DVgcEevPTeuklZPBY+5sAFzceX9JHTa0TGbeBlwPrDsnrVvYJln2XS8BTmjaopXLtMu/dnHYMDO/PpcNWwlMsu5vDmweEd+PiNMiYtwZYs3MJMv/IOBFEXEJcDzw93PTNDHz3wZJK8j/uVzqiIgXAdsCT5zvtqwsImIV4P3A/vPclJXVIkpXkx0pV/pOjoiHZeZ189qqlcfewKGZ+b6IeBzwuYjYKjPvmO+GSdJs84rH3PktsGHn/QPrsKFlImIR5bL71XPSuoVtkmVPROwCvBl4Zmb+cY7atjKYbvmvBWwFnBQRFwCPBY71BvNZMcm6fwlwbGbempm/AX5FCSJacZMs/5cARwFk5qnAGsCSOWmdJvptkDR7DB5z50fAZhGxSUTcg3IT4bEDZY4F9qt/Pwf4bvofrcyGaZd9RGwNfIwSOuzjPrvGLv/MvD4zl2Tm0sxcSrnH5pmZecb8NHdBmWS/cwzlagcRsYTS9er8uWzkAjbJ8r8I2BkgIh5KCR5XzmkrV17HAvvWp1s9Frg+My+d70ZJC5ldreZIZt4WEa8CvgGsCnw6M8+NiLcDZ2TmscCnKJfZz6PcELfX/LV44Zhw2b8XuDfwpXo//0WZ+cx5a/QCMuHyVwMTLvtvAE+OiJ8DtwOvy0yvtM6CCZf/PwGfiIj/S7nRfH9POM2OiPg8JVQvqffQHAisBpCZH6XcU/M04DzgZuDF89NSaeXh/1wuSZIkqTm7WkmSJElqzuAhSZIkqTmDhyRJkqTmDB6SJEmSmjN4SJIkSWrO4CFJkiSpOYOHJEmSpOYMHpIkSZKa+/8lELR7iQAnsgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "faulty_options = [\"AIC79XX_BUILD_FIRMWARE == 1\", # AICDB\n",
    "                  \"AIC7XXX_BUILD_FIRMWARE == 1\", # AICDB\n",
    "                  \"WANXL_BUILD_FIRMWARE == 1\", # AS68K \n",
    "                 \"GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2\", # GEN\n",
    "                 \"UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5)\",  # OVERFLOW2       \n",
    "                 \"VIDEO_MUX == 2 & VIDEO_V4L2 == 0\", # V4L2 # note REGMAP_I2C comes with VIDEO_V4L2!\n",
    "                 \"BACKLIGHT_CLASS_DEVICE == 0 & (DRM_I915 == 2 | (DRM_SAVAGE == 2 & CPU_FREQ_GOV_COMMON >= 1))\", # BLACKLIGHT # missing one?\n",
    "                 \"DRM_VBOXVIDEO == 2 & DRM_TTM <= 1\", # TTM # it's another bug... note that DRM_TTM is not necessarily with GENERIC_ALLOCATOR in our datatset: the DT is statistically right and the causality is good!\n",
    "                 \"CRC32 == 0 & (COMEDI_AIO_AIO12_8 == 0 | MAX1363 == 2)\", # CRC32 # not sufficient to capture the two failures (but CRC32 is clearly here!)\n",
    "                 \"NLS <= 1.5 & ((TCM_USER2 == 2 & HID_GYRATION == 2) | (SCSI_DPT_I2O == 2 & SCIF_BUS == 2))\", # CONFIG_NS_DEFAULT (other failures)\n",
    "                 \"REGMAP_IRQ == 0 & USB_F_TCM == 0 & HID_KEYTOUCH >= 1\", # ULPI\n",
    "                  \"VIDEO_ATOMISP == 0 & EXTRA_FIRMWARE <= 532.5\", # I2C_CLUSTER\n",
    "                  \"VIDEO_SAA7134_GO7007 == 0 & SND_SOC_RT5514_SPI == 2\", # PCM\n",
    "                  \"MLXSW_SPECTRUM == 2 & NEW_LEDS == 0\", # DEVM (see also LEDS_CLASS)\n",
    "                  \"VIDEO_SOLO6X10 == 2 & MEMCG_SWAP_ENABLED >= 1 & MFD_SYSCON == 0\" # BLACKLIGHT 2\n",
    "                  \n",
    "                 ]\n",
    "for faulty_option in faulty_options:\n",
    "    cl_frequencies_per_faultyopt = rawtuxdata.query(faulty_option)['cluster_errorfirst'].value_counts()\n",
    "    df_frequencies = pd.DataFrame(cl_frequencies_per_faultyopt)\n",
    "    df_frequencies['cluster'] = le_cluster.inverse_transform(cl_frequencies_per_faultyopt.index)\n",
    "    #df_frequencies.plot.bar(stacked=True)\n",
    "    ax = df_frequencies.plot.barh(y='cluster_errorfirst', x='cluster', legend=False, figsize=(9, 5)) #pie()\n",
    "    ax.set_alpha(0.8)\n",
    "    for i in ax.patches:\n",
    "        ax.text(i.get_width()+.3, i.get_y()+.38, \\\n",
    "                \"#failures=\" + str(round(i.get_width(), 2)), fontsize=12,\n",
    "                    color='dimgrey')\n",
    "    \n",
    "    ax.invert_yaxis()\n",
    "    #ax.set_yticklabels(ax.get_ylabel(), fontsize=14)\n",
    "    plt.title(\"faulty option (bug) \" + faulty_option)    \n",
    "    plt.savefig(faulty_option.replace(\" \", \"\").replace(\"=\", \"\").replace(\"<\", \"\").replace(\">\", \"\").replace(\".\", \"\").replace(\"&\", \"\").replace(\"(\", \"\").replace(\")\", \"\") + \"-faulty.pdf\")\n",
    "    plt.show()\n",
    "    # print(df_frequencies)\n",
    "#le_cluster.inverse_transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3373"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ftuniques = []\n",
    "for col in rawtuxdata.query(\"EXTRA_FIRMWARE <= 532.5\"):\n",
    "    ft = rawtuxdata[col]    \n",
    "    if len(ft.unique()) == 1:\n",
    "        ftuniques.append(col)\n",
    "        \n",
    "len(ftuniques)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GENERIC_ALLOCATOR</th>\n",
       "      <th>compile_success</th>\n",
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       "      <td>1</td>\n",
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       "      <th>82294</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>84731</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       GENERIC_ALLOCATOR  compile_success\n",
       "15492                  1                0\n",
       "25764                  1                0\n",
       "29548                  1                0\n",
       "30522                  0                0\n",
       "36309                  1                0\n",
       "37220                  1                0\n",
       "38178                  1                0\n",
       "40211                  1                0\n",
       "48165                  0                0\n",
       "63904                  1                0\n",
       "64812                  1                0\n",
       "82294                  1                0\n",
       "84731                  1                0"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata.query(\"DRM_VBOXVIDEO == 2 & DRM_TTM <= 1\")[['GENERIC_ALLOCATOR', compilation_status_column_name]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VIDEO_V4L2</th>\n",
       "      <th>compile_success</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>1266</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>76143</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>78191</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>83095</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88385</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88424</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>92040</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94329</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       VIDEO_V4L2  compile_success\n",
       "1266            0                0\n",
       "2198            0                0\n",
       "15973           0                0\n",
       "28966           0                0\n",
       "33740           0                0\n",
       "39907           0                0\n",
       "41887           0                0\n",
       "44136           0                0\n",
       "61227           0                0\n",
       "66694           0                0\n",
       "69754           0                0\n",
       "71062           0                0\n",
       "75726           0                0\n",
       "76143           0                0\n",
       "78191           0                0\n",
       "83095           0                0\n",
       "88385           0                0\n",
       "88424           0                0\n",
       "92040           0                0\n",
       "94329           0                0"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata.query(\"VIDEO_MUX == 2 & REGMAP_I2C == 0\")[['VIDEO_V4L2', compilation_status_column_name]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i, cf in rawtuxdata.iterrows():\n",
    "    #cf.query(compilation_status_column_name + \" == 0\")\n",
    "    # cf[faulty_options[0]]\n",
    "#   print(cf)\n",
    "#    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bug interaction (1-wise) 1614 AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 505 AIC79XX_BUILD_FIRMWARE == 1 AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 21 AIC79XX_BUILD_FIRMWARE == 1 AIC7XXX_BUILD_FIRMWARE == 1 WANXL_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 2 AIC79XX_BUILD_FIRMWARE == 1 AIC7XXX_BUILD_FIRMWARE == 1 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2\n",
      "bug interaction (3-wise) 4 AIC79XX_BUILD_FIRMWARE == 1 AIC7XXX_BUILD_FIRMWARE == 1 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5)\n",
      "bug interaction (2-wise) 85 AIC79XX_BUILD_FIRMWARE == 1 WANXL_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 21 AIC79XX_BUILD_FIRMWARE == 1 WANXL_BUILD_FIRMWARE == 1 AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 5 AIC79XX_BUILD_FIRMWARE == 1 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2\n",
      "bug interaction (3-wise) 2 AIC79XX_BUILD_FIRMWARE == 1 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 7 AIC79XX_BUILD_FIRMWARE == 1 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5)\n",
      "bug interaction (3-wise) 4 AIC79XX_BUILD_FIRMWARE == 1 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5) AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (1-wise) 1578 AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 505 AIC7XXX_BUILD_FIRMWARE == 1 AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 21 AIC7XXX_BUILD_FIRMWARE == 1 AIC79XX_BUILD_FIRMWARE == 1 WANXL_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 2 AIC7XXX_BUILD_FIRMWARE == 1 AIC79XX_BUILD_FIRMWARE == 1 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2\n",
      "bug interaction (3-wise) 4 AIC7XXX_BUILD_FIRMWARE == 1 AIC79XX_BUILD_FIRMWARE == 1 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5)\n",
      "bug interaction (2-wise) 63 AIC7XXX_BUILD_FIRMWARE == 1 WANXL_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 21 AIC7XXX_BUILD_FIRMWARE == 1 WANXL_BUILD_FIRMWARE == 1 AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 8 AIC7XXX_BUILD_FIRMWARE == 1 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2\n",
      "bug interaction (3-wise) 2 AIC7XXX_BUILD_FIRMWARE == 1 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 5 AIC7XXX_BUILD_FIRMWARE == 1 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5)\n",
      "bug interaction (3-wise) 4 AIC7XXX_BUILD_FIRMWARE == 1 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5) AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (1-wise) 548 WANXL_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 85 WANXL_BUILD_FIRMWARE == 1 AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 21 WANXL_BUILD_FIRMWARE == 1 AIC79XX_BUILD_FIRMWARE == 1 AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 63 WANXL_BUILD_FIRMWARE == 1 AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 21 WANXL_BUILD_FIRMWARE == 1 AIC7XXX_BUILD_FIRMWARE == 1 AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 2 WANXL_BUILD_FIRMWARE == 1 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2\n",
      "bug interaction (2-wise) 1 WANXL_BUILD_FIRMWARE == 1 VIDEO_MUX == 2 & VIDEO_V4L2 == 0\n",
      "bug interaction (1-wise) 382 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2\n",
      "bug interaction (2-wise) 5 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 2 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 AIC79XX_BUILD_FIRMWARE == 1 AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 8 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 2 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 AIC7XXX_BUILD_FIRMWARE == 1 AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 2 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 WANXL_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 2 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2 DRM_VBOXVIDEO == 2 & DRM_TTM <= 1\n",
      "bug interaction (1-wise) 84 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5)\n",
      "bug interaction (2-wise) 7 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5) AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 4 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5) AIC79XX_BUILD_FIRMWARE == 1 AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (2-wise) 5 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5) AIC7XXX_BUILD_FIRMWARE == 1\n",
      "bug interaction (3-wise) 4 UBSAN_SANITIZE_ALL > 0.5 & INFINIBAND_ADDR_TRANS > 0.5 & FORTIFY_SOURCE > 0.5 & IPV6 == 1 & (UBSAN_NULL > 0.5 | UBSAN_ALIGNMENT > 0.5) AIC7XXX_BUILD_FIRMWARE == 1 AIC79XX_BUILD_FIRMWARE == 1\n",
      "bug interaction (1-wise) 20 VIDEO_MUX == 2 & VIDEO_V4L2 == 0\n",
      "bug interaction (2-wise) 1 VIDEO_MUX == 2 & VIDEO_V4L2 == 0 WANXL_BUILD_FIRMWARE == 1\n",
      "bug interaction (1-wise) 14 BACKLIGHT_CLASS_DEVICE == 0 & (DRM_I915 == 2 | (DRM_SAVAGE == 2 & CPU_FREQ_GOV_COMMON >= 1))\n",
      "bug interaction (1-wise) 13 DRM_VBOXVIDEO == 2 & DRM_TTM <= 1\n",
      "bug interaction (2-wise) 2 DRM_VBOXVIDEO == 2 & DRM_TTM <= 1 GENERIC_ALLOCATOR == 0 & DRM_VBOXVIDEO == 2\n",
      "bug interaction (1-wise) 2 CRC32 == 0 & (COMEDI_AIO_AIO12_8 == 0 | MAX1363 == 2)\n",
      "bug interaction (1-wise) 3 NLS <= 1.5 & ((TCM_USER2 == 2 & HID_GYRATION == 2) | (SCSI_DPT_I2O == 2 & SCIF_BUS == 2))\n",
      "bug interaction (1-wise) 1 REGMAP_IRQ == 0 & USB_F_TCM == 0 & HID_KEYTOUCH >= 1\n",
      "bug interaction (1-wise) 1 VIDEO_ATOMISP == 0 & EXTRA_FIRMWARE <= 532.5\n",
      "bug interaction (1-wise) 1 VIDEO_SAA7134_GO7007 == 0 & SND_SOC_RT5514_SPI == 2\n",
      "bug interaction (1-wise) 1 MLXSW_SPECTRUM == 2 & NEW_LEDS == 0\n",
      "bug interaction (1-wise) 1 VIDEO_SOLO6X10 == 2 & MEMCG_SWAP_ENABLED >= 1 & MFD_SYSCON == 0\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "how bugs interact? \n",
    "It's a weird implementation (ie code is redundant) but I found difficult to generalize (TODO of course)\n",
    "'''\n",
    "columns_bugs_interaction = ['degree_interaction', 'faulty_options', 'nb_failures', 'clusters']\n",
    "bugs_interaction = pd.DataFrame(columns=columns_bugs_interaction)\n",
    "for faulty_option in faulty_options:\n",
    "    n_interactions1 = len(rawtuxdata.query(faulty_option).index)\n",
    "    if (n_interactions1 > 0):\n",
    "        print(\"bug interaction (1-wise)\", n_interactions1, faulty_option)\n",
    "        cluster_error1 = rawtuxdata.query(faulty_option)['cluster_errorfirst'].value_counts()\n",
    "        cl_error1 = list(zip(le_cluster.inverse_transform(cluster_error1.index), cluster_error1.values))       \n",
    "        # val1 = (1, faulty_option, n_interactions1, cl_error1)\n",
    "        val1 = (1, sorted(set([faulty_option])), n_interactions1, cl_error1)\n",
    "        bugs_interaction = bugs_interaction.append(pd.DataFrame([val1], columns=columns_bugs_interaction), ignore_index=True)\n",
    "        for faulty_option2 in faulty_options:\n",
    "            if (faulty_option != faulty_option2):\n",
    "                n_interactions2 = len(rawtuxdata.query(faulty_option + \" & \" + faulty_option2).index)\n",
    "                if (n_interactions2 > 0):\n",
    "                    print(\"bug interaction (2-wise)\", n_interactions2, faulty_option, faulty_option2)\n",
    "                    cluster_error2 = rawtuxdata.query(faulty_option + \" & \" + faulty_option2)['cluster_errorfirst'].value_counts()\n",
    "                    cl_error2 = list(zip(le_cluster.inverse_transform(cluster_error2.index), cluster_error2.values))\n",
    "                    # val2 = (2, faulty_option + \" WITH \" + faulty_option2, n_interactions2, cl_error2)\n",
    "                    val2 = (2, sorted(set([faulty_option, faulty_option2])), n_interactions2, cl_error2)\n",
    "                    \n",
    "                    bugs_interaction = bugs_interaction.append(pd.DataFrame([val2], columns=columns_bugs_interaction), ignore_index=True)\n",
    "                    for faulty_option3 in faulty_options:\n",
    "                        if (faulty_option3 != faulty_option and faulty_option3 != faulty_option2):\n",
    "                            n_interactions3 = len(rawtuxdata.query(faulty_option + \" & \" + faulty_option2 + \" & \" + faulty_option3).index)\n",
    "                            if (n_interactions3 > 0):\n",
    "                                print(\"bug interaction (3-wise)\", n_interactions3, faulty_option, faulty_option2, faulty_option3)\n",
    "                                cluster_error3 = rawtuxdata.query(faulty_option + \" & \" + faulty_option2 + \" & \" + faulty_option3)['cluster_errorfirst'].value_counts()\n",
    "                                cl_error3 = list(zip(le_cluster.inverse_transform(cluster_error3.index), cluster_error3.values))\n",
    "                                # val3 = (3, faulty_option + \" WITH \" + faulty_option2 + \" WITH \" + faulty_option3, n_interactions3, cl_error3)\n",
    "                                val3 = (3, sorted(set([faulty_option, faulty_option2, faulty_option3])), n_interactions3, cl_error3)\n",
    "                               \n",
    "                                bugs_interaction = bugs_interaction.append(pd.DataFrame([val3], columns=columns_bugs_interaction), ignore_index=True)                  \n",
    "                                for faulty_option4 in faulty_options:\n",
    "                                    if (faulty_option4 != faulty_option and faulty_option4 != faulty_option2 and faulty_option4 != faulty_option3):\n",
    "                                        n_interactions4 = len(rawtuxdata.query(faulty_option + \" & \" + faulty_option2 + \" & \" + faulty_option3 + \" & \" + faulty_option4).index)\n",
    "                                        ### FIXME we never found 4-interactions so I did not implement the add to bugs_interaction\n",
    "                                        if (n_interactions4 > 0):\n",
    "                                            print(\"bug interaction (4-wise)\", n_interactions4, faulty_option, faulty_option2, faulty_option3, faulty_option4)\n",
    "                                           \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(53, 4)"
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bugs_interaction.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "metadata": {},
   "outputs": [],
   "source": [
    "# bugs_interaction.drop_duplicates()\n",
    "# weird (sorted set as string) to make it comparable and thus duplicable\n",
    "ltx_bugs_interaction = bugs_interaction.iloc[bugs_interaction.astype(str).drop_duplicates().index]\n",
    "ltx_bugs_interaction.loc[:,'faulty_options'] = ltx_bugs_interaction['faulty_options'].apply(lambda x: [e.replace(\">0.5\", \"\").replace(\"==\", \"\").replace(\"1\", \"\").replace(\"2\", \"\").replace(\"0\", \"\").replace(\" \", \"\").replace(\"<=\", \"\").replace(\"_BUILD_FIRMWARE\", \"\") for e in x]) \n",
    "ltx = ltx_bugs_interaction.sort_values(by=\"degree_interaction\", ascending=False).rename(columns={'degree_interaction': 'degree'})[:13].to_latex(index=False) # , longtable=True)\n",
    "with open('bugsinteraction.tex', 'w') as f:\n",
    "    f.write(ltx)\n",
    "    \n",
    "# ltx_bugs_interaction['faulty_options'] = \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "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>faulty_options</th>\n",
       "      <th>nb_failures</th>\n",
       "      <th>degree_interaction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   faulty_options nb_failures  degree_interaction\n",
       "0               1                              18"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame([(1, \"\", 18)],\n",
    "             columns=['faulty_options', 'nb_failures', 'degree_interaction'])\n",
    "    \n",
    "#    1, \"\", 18)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for cluster BLACKLIGHT\n"
     ]
    },
    {
     "data": {
      "image/png": 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JkiR1YJCWJEmSJKkDg7QkSZIkSR0YpCVJkiRJ6sAgLUmSJElSBwZpSZIkSZI6MEhLkiRJktSBQVqSJEmSpA4M0pIkSZIkdWCQliRJkiSpA4O0JEmSJEkdGKQlSZIkSerAIC1JkiRJUgcGaUmSJEmSOjBIS5IkSZLUgUFakiRJkqQODNKSJEmSJHVgkJYkSZIkqQODtCRJkiRJHRikJUmSJEnqwCAtSZIkSVIHBmlJkiRJkjowSEuSJEmS1IFBWpIkSZKkDgzSkiRJkiR1YJCWJEmSJKkDg7QkSZIkSR0YpCVJkiRJ6sAgLUmSJElSBwZpSZIkSZI6mPRBOsk3k1TP654k5yR57jDtv5hkZpJ3DrN+qSQfTvKbJI8kmZ7kl0n+LcnSPcc8p2+77dr2n27/PijJH0ao+8IkX+pbtnqSI5Ncm+TRJHcl+d8k70myQk+7aUk+NGCfH0oyrWf/NcJr2nC19e3z2UmOS3JzkseS3JjktCRb9rSpJG8Yw75+l2RGkg0GrFs1yTHtuT2W5M4k5yd5RU+bdZOcmOSWts1tSX6Q5AVjPJdpPef/aHtO30/ymgFth7tu/55kx/Yz9KxhjvOrJN9pfx/0WVkxycFJrkry1/ZcL0zyliSLtW2Ge/++N5ZzHS9JXt+ex2Ptzx0muiZJkiRpbk36IN06D1izfb0SWBb4fn+jNgjvAnwG2HPA+qWAHwMHAMcDLwFeCHwB2A3YYtDBk7wNOB3Yv6o+NicnkGQd4HLg1cDHgU2BFwOHAi8HXttxlzvyt2vyvHbZ63uWvWgMNU1ta3oe8C5gI+A1wGXA0V2KSbIZsBrwbWCPAU1OBzZr120AbAf8EPi7dvslgZ8AqwJvbNu8HrgEeHqHUj5Fc/4bAG8GpgHf7/9So/VO/na9hl7fAs4G7qH5TPSf58bteXx90MGTrAxcDOwOfA6YCvxTu9+PA73h/PgBx/+3Duc6XyXZAjgZOAnYpP15apIXT2hhkiRJ0lxaYqILGCePVdUd7e93JDkSODvJslX11552O9IEp0OA9ybZuKp6e43fB7wU2KyqLu1Z/uckpwEr0CfJ+4DPAntU1YlzcQ5fAZ4EplbVw73HBs5Jki47q6rpPTXOaH+d3nOdRtQe75vADcBLqmpmz+orknylSz00Afk7wJnAKUkOqKoZ7bFWBrYCXlFV57ftbwR+3bP984BnA6+uqut62lzcsY6/9FyDm4BfJPkj8NUkp1fVBT1t7x/ueiX5NvCOJJ+qquo7zxuACwZtR/PFyLrAc6rqlp7l1yb5bl/bR8b6fk2Q9wEXVNUh7d+HJHlZu/wtE1eWJEmSNHcWlR7pWZKsCLwJ+H1fiIamF/rEqnqEpge0v1d6F+C8vhANQFU9WVUP9h3r0zTBaIe5CdFJ/g54FfDlvhDde/watHw+2oQmvH6uL0QP1XP/WHeUZHma3t8TgYuAv9L0OA95qH29Nskyw+zmbpovGl6fZF5/QXQccB9ND3eXbdYBth5a0I5oeCvwjUHvVzts+83ASX0hGoCqerSqHu1W+lP2v0uSh0Z57dLT/tgxtB84fL21BXBu37IfA1sOaCtJkiQtNBaVIP3qoX/4Aw/S9Crv3Nsgybo0vZ5DvX7fBt7aDvcesj7wxzEe8xU0Q8B3qqr/NzfFA+sBAa7uXdjeCzwUaI7t2+aQ/tBD09M+r6zf/hzr9RjJTsDNVfWbNmCeSM+XGG3P9DtoQuj9SS5OckTvEOGquhV4L3Bg2+Zn7X3Gz2MutV8UXAP8Q9+qEwYEy39st/kT8AueOkz9dcAUmiHZg6zSrh/rNd1rwPH3HqH9WTRfgIz0Oqun/YFjaH/bCMdbA7izb9md7XJJkiRpobWoDO3+ObBX+/sUYG/g3CQvrqqb2+V7AOf3DJW9EHgE2J7mPk9owuxY/QFYCfhEkl906aHtYCtgceBrQH9P7RdoekV77cG8G1LbaSj5KPYETuj5+wTgo0meUVW3AVTV6Ul+QHPOW9DcK/7Bdgj4oW2bL7dDql9Gc//464D9kuxeVb37nxMB+nuRPwz8qG/ZTT2/fx34SpKV2/d/d+BHQ+c0zDG6OBn4ZN+yu4drXFV/Af4y1p1X1V3AXR1rkiRJkia9RaVH+pGquq59/ZomuD2NNlwnWZymx/NVaWaNngE8DqzFU4d3XwNsOMZj3k7T870ScF6SKXNR/3U0Ie4pM41X1Z/b+4EfGbDNvT3nfF3b7t65qKHfNe3PsV6PgdLMnv4S4NCea/9Hmi8InjJZVzu0+SdV9amq2pLmi4KD2iHTQ23+UlVnVdUBwPNp7kU+eC5rXJxm8rEb+lbd0X+Nq+rxnvWnAk8AOydZm2aiu4GTjLXuBu5n7Nf0gQHHf2CE8xjvod13AKv3LVu9XS5JkiQttBaVHul+RXM/7XLt36+mmf15Kk2AHvIsmom81qmqaTSTYR2WZGr/fdLt/a0r9N4nXVW3JvkX4KfA+UleUVWdw2xV3ZvkXGCfJEdX1UNd9zEf/Ba4CvhwkpP775Pu6YUdzR7Ar5j9fvTXA7snOXSE+7+vovkML8NT3zeguW88yZ9oZjifG3sCKwOnddmoqh5uJwjbg+bzdTdwzgjtn0zz+Kq3t5OUPeU+6aH7w+fiPumzaK71SHqHYh8IHDFK+5GGdl9Mc4vD53qWvQL431H2KUmSJC3QFpUgvXSSofsypwD70MywfXa7bE/gh1V1ed92f0hyNc2Q3AOBo4BtgZ8k+QTNkPEHgBcAHwI+SjMkfJaqur0N0+cDP03y8qq6p129TJJN+o75SFVdw+z2prnn9rIkBwG/A2bQPH7r+cw+qdN81YbU3WgeLXZRkkNoepKXA7aheQTV1J5N1hlwrn8G3g4c0jc7OknupbnmL0vyO5re3W8AV9AMT54K7EszHP/Bdt+fpBkWfhVNsH4pzXvXP9v1SFZsPytLAmvT3L/9HuBLVfWzvrYr93yuhjzU90XHcTQjH9YF/mtoJvIRHAD8C/CrJB+jeXzXYzTD2fej+fxNa9suN+D4j/fOyN5rAoZ2/yfw8yT70czGvgPNsPt/mot9SpIkSRNuUQnS/0oz1BqaIPEnmknALkyyOs0M0bsOs+2pwG5JDqqqx5K8gubxPXvQPNbqUZpJwI5nmJ62qrozzWN/zgMuSPLydtWzgd/0Nb+MpwbQoX3ckOQFwP40Q5XXphk2/EfgGGDQc47nq6q6JMkLab5AOJbmOdC30zyWap++5p9jdrvSPPf59AH7vj3JL2i+5NgN+CXwHzQTry0N3EozQuDT7Sa30Ay9PpBmtuzFaO5XPoLmueBjdWD7epymB/lSYMeqOmtA2/8asOwQYNazwttr9HvgH5n9nvXZVNX0JJvTfEnwkfZcHqT5cuBgnnoP9m7M/qzqX7CABNWq+t8kb6Z5jz4FXA+8qapG6xWXJEmSFmgZ/6cmSVI3S6+5fq2561ETXYYkSZLms2mf2XZCj5/ksqqarWOz36Iy2ZgkSZIkSfOEQVoDJdlqpNmaJ7q+rkaZsfrKia5PkiRJ0sJjUblHWt1dCvRPDrYwG2nG6ifGsxBJkiRJCzeDtAaqqr/SPL96Uug6Y7UkSZIkDceh3ZIkSZIkdTDHQTrJJ5J8Y14WowVLkmntM7BHa+dnQZIkSdIiY46CdJLVgA/yt2f4kuSbSap9PZHkriQXJHl3kiX7tr+wp+3jSa5PcliSpfvaDbXZqm/54klubde9YYw1T0vyoZ6/V29rvi3JI0l+lGT9vm32as/h/vZY6wyz3+p7dXlu8XyXZP8kv07yYJK7k5ydZON5tO+F8bPw/CT/neSOJI8muSnJ6Un+fkDbLyaZmeSdfcs/0F7P5QZsM1TToX3Ld2z3ddIItW2f5Lwk05P8Nck1Sb6V5EU9bd4x4DM39FpmLNdgfmuv8XeT3Nyex9VJ9k3iKBhJkiQt9Ob0H7V7ApdU1Q19y88D1gTWAV4JnA18EvifJMv3tT2+bbsesC/wbuCgAce6Gdi9b9k2wIw5rJ0kAc4E1ge2B14A3Aic11fncsC5w9TV61M05zL0+vTIzcfdvwDHAFsCW9Ncu/OSPH0e7Huh+iwkWRU4H3gI2BZ4LvA24HrgaX1tlwZ2AT5Dc569TgCWBnYacJht2vM5rm/5nsDhwPZJpgyo7RDgNOD3NJ/L5wJvAq4CPtfX/BGe+plbE1izqh4dfObj7oXA3TTX9nnAJ4CPA/tNZFGSJEnSvDCnQXpnmmDU77GquqOqbq2q31bVF2hC3KY0AanXI23bm6rqdOAnNIGr3zeBnZKs0LNsj3b5nFof2BzYu6ouqaqrgXcBywJvGWpUVUdV1WHARaPs7y/tuQy9FqjHQ1XVq6rq+Kr6Q1X9nibcrAq8ZB7sfmH7LLwEmALsVlWXVdW0qvpZVe3bXpteOwLTgEOAjXp78avqbpqZwPuD/VBNF1bV9UMLkqwFvAw4AvglTUCnZ/2LgY8CH6iq91fVz6vqxqr6TVV9tt22V/V95u6oqjs6XIf5qqq+UVXvraoLq+qGqvoe8BXg9RNdmyRJkjS3OgfpthdzI5rHI42qqv4A/IgR/gGd5Pk0AWfQY4iuAP5I0zM3NJR4G5pezDk1NGx4Vu9dVT0JPAb80xzs70NJ7k3y2yQHJFlqpMZJPpoRntHcvrbqaf/D0dp3rHdFmvf+vjk4197zWBg/C3fQnPsb2pEJI9kTOLGqHgFOZ/Ze6eOArZKs11P/6sB2zN4bvRtwblXdS9ObvUff+p1pesmPGVRIVdUotY5qDJ+5H/a0HfE54u3rox1LeBpz+ZmTJEmSFgRz8virZwEBbuuwzVXAv/Yt2yvJO4AlgaWAJ2mG9A7yDZqev+OAtwMXVdW00XPQsP4E3AQc2t77+hDwfmAtmiGyXXwR+A1wL7AZzTDgdZk9dPU6FjhllP3e2vP7njS95fPKfwK/BS6ey/0sdJ+Fqvple+/yt4AvJ/k1cCFwUlXdONQuybrAVvyt5/jbwClJPlJVj7XLzuVvw82HQuXbaT5Pp/fsKzRBeqgn/rT22FOrauhLiA2AG6pqRs92e9MMBR+yUVXd1P6+/IAvUK6oqi1HOP3Rngv+157fx/Ic8emjrJ8lyabAO+jriR9lm72AvQAWf9qqY91MkiRJmu/mJEgPBbou92IG6O9RO5nmntmnAR8B7muH9Q7yHeDzSZ5DE1oO7nDs2VTVE0l2pAlj9wIzae7p/WFba5d9faHnzyuSPAic3Aaue4fZZjodQkhV3Tp6q7FJ8gWaXvd/qqqZc7m7hfKzUFUHtNdha5oh/nsAByR5bVWd3zbbAzi/Z7j0hTT3JW/f1ktVPZnkeGDPJB9vr+fuNKG895q8nGY4+dntdg8lObM9xki9+SfRhPWNge/z1BEkjzB70H2MEVTVmJ8LPi+fI96+Vz8AjhrhfR1Uw9eArwEsveb6c90jL0mSJM0rc3KP9D3tz9kmSxrBRkD/ZFQPVNV1VXU58FZg67ZXcjZV9QBwBk1P7ho0oWKutPfHbgKsTDNJ06uBvxtQZ1e/an+uN1yDiRraneRImnvAtx4wOdicWGg/C1V1b1WdWlUfBDakuRf649DMuk3Te/qqJDOSzAAepxmx0D/SYGiitFcl2ZJmgrCv97XZk+Zz9nDP/t4MvCV/m/X7GuDZ6ZnVvKoeaMPvLYNPoa7re9080jlPxNDuJM+l+RLie1XlRGOSJEmaFOakR/p64EGaQHTVaI3TTND0akaYybrtIT4UOCzJKe09qf2OA34KfHlezkzcBjPSPPpqKm2YmgtDvYS3j9Bm3Id2J/lPmnuLX1ZVf5qbffWYFJ+Fqno8yfXAM9pFQ1+qTKUJ0EOeBZyTZJ2qmtZue2OS82h6l+8HLquq3w5t0N5Hvj2wK3B536HPB95AM2z8u8B7gfcAX2D+GNeh3Uk2onmfTqmq949eniRJkrRw6Byk2+Gs59EMDz6tb/XSSdag6elelWZI60eBy2hmKx7Jd4BDgX146n2hQ8e9IM2ji/7SteZBkuxE06N6I/CPNPcNn1lV5/a0WYOm13ODdtFGSVYGbqqq6Um2oBkafAHwAPAi4EjgrJ57WWcz3kO7k3yZZqbu7YH72vMCeGhuZhhfGD8LSbaj6Q3+Hk3imoZRAAAU3ElEQVQvcIDXAP+X5hFN0Hxx8cO2h7zXH5JcTTN8+8Ce5ccBJ9KE7g/3bfM2mi8bTuofSp/kjPZY327v3T4c+Fya51mfRnMf/+q09wnT3ILQs/ms97HX3cMN2R/Pod1JnkcToi+gmYtgVq0L0uzikiRJ0pyY08dffQ14UzsEtte/0vTE3kTT2/ZamucB/3NVPTzSDqvqceBLwL5JVhymzT09Ez3NrTVpegL/RDNh2An0PPqq9e80E4md1P79g/bv17Z/P0bTy3shTY/sp4D/GrCfibY3zUzd59O8P0OvD82DfS9sn4WraCYDO4LmvbyEZjj5h2gC39Cs2/1fDAw5FdgtSe//ds6k+SJlMZovAXrtQfMFzaBweyrNrN8btOf0EeCNNF/snEUTZM8AVqC5br1Dt5fjqe/l0GvdUc5/vOwErEbzv4/+GiVJkqSFWub0qTpJLgaOqaoT5m1JWlAkmQa8o6ouHKWdnwXNV0uvuX6tuetRE12GJEmS5rNpn9l2Qo+f5LKqmjpauzntkQb4t7ncXpOHnwVJkiRJi4w5mWwMgKq6ArhiHtYyx5LsAnx1mNU3VtXzxrOeRY2fBUmSJEmLkjkO0guYs/jbY6f6PTGehUwyR9E8Fmph4mdBkiRJ0nw1KYJ0Vf2FeTSbt/6mqha6m1L9LEiSJEma37yvVdJ8lWS1JHcnWatv+alJPjhRdUmSJElzapEI0kl2TPLTJPcneTjJ75MckmS1dv07klTP6/YkpyRZt2cfleQNA/b9zSTnjLGOC/uOM/RaecD6x5Ncn+SwJEv37WfQPirJv/e0WSzJe5L8NslfkzzYXoNtOl67JNk9yS/afTyc5KokX07y3L62Kyc5IskNbf13Jfleb7skX0xy7TDHmtLWuteg9QPab5Lk5CR3JHksyXXt+/GPfe12TnJxkofa+n+V5K19bdZpr+HMJM8apq5KMrVn+dB136qv/eJJbh30mUny4iRnJZne1vynJJ9Iskxfu2nD7PugJH8Yy/UZL0n2SnJB+7+vSrJO7/qquovmUXOf7Nv0U8ABSVYan0olSZKkeWPSB+kkh9A8r/e3NM8H3gj4D5rn7b6rp+kjNM+WfgawM7AJcFZmfz7y3Dq+PU7v64EB69cD9gXeTfP85X7vHLCfb/Ws/w5wMM3EW88DtgB+DZyT5F2MQZLQPF/7y8CPgVcBGwK7AffRE4ySTAEuBralub7r0Tw7enng10le1DY9DlgvyUsHHHIXYCbw3THUth3NvdArAG8Dngu8meY5xZ/pafdZmmv638ALgRfQPJv5uCSfYXa3tufXX9ddw5RyM7B737JtgBkDan4t8D/AvTTP2d6A5hruBZybZKm+TR4FPjvMcYfV/0XAOFgOOJfBn9MhxwO7JHn60IKq+j1wA81zvCVJkqSFxqS4R3o4STYDPgp8sKq+0LPqRuCnQz3BraqqO9rfb0/ySeBEmkB49Tws65Ge44y2/qYkOwOvBPbva3f/cPtJ8kbgTcAOVXVmz6qPtL3bRyU5u6puGaXWN9KEyNdV1Vk9y28CftUG7SGHAM8C1q+q23rqfx1wKXB8kn+sqt8luZQmfP6s73h7AKe09zkPK8lyNMHsx1X12p5VfwYu7enh34zmy4j3993v/dkkjwFHJjmjqi7pWfdN4B1JPlV/e8j6Hu3yAweU803gA0neU1UPDde+rfk44P9VVW9QvzHJ1TTX6D+Az/Ws+xqwV5Idq+qMka5Jn2+lGW3xLeDEnvdjvhi6tr299QPa/CHJbcCOwNd7Vp0FvIXmyxpJkiRpoTDZe6R3AR4Gjh60sqruH2Hbv7Y/l5zXRY1VkucDL6H7bNO7ANf2heghnwOWAl4/hv3sDFzdF6JnGQqaSRaj6Q0+qT+0VdWTwOdpesX/T7v4OOANSZ421C7JpjSjAI4bQ12vAlahp+e575hD7+suwEPAMQOafYXms/GWvuX/D1gG2Lqt6wXAs4FThqnlCuCPNF9c0AbYbWiC/qCaDx9Q7+XA+TTXu9fNNJ/dw5J0+dLrjcCxwBtovsz4cTu8fdlBjdsh7yO9ftjh2CO5BOgfiXAJsNlwtUmSJEkLoskepNcHrq+qTkE0zaRIHwZuAa6ZxzXt1RdSjh1m/WM0w9FX5am9lENOGBB4hu4N3oAm3M2mqm4FHgSeM4ZaN6CvNz7JZ3uP2S5eFZgy3DGBq9qfQ8f8TvvzzT1t9gD+VFW/GENd67c/hzvekA2AG6rq8f4VVfUYcD2zX4cZNPfzDg3X3oMmRD88wnG+0dP+7cBFVTVtQC0j1XzVgFoADqO5vnuOcPynqKq7q+roqtoM2Jimt/tQ4M4kxw0YVr/JKK8xH3sUtwHrDFi2JM0tFZIkSdJCYVIP7QYyepNZlm+DYWju+bwc2HFQCJtLJ/PUSZceHGb904CPAPdV1ekD9vNh4Ed9y27qUMecntfngP8CXs0wPf2jqaoHk5xKEz6/1k60tTPN8PCx6PK+zolvAL9JsgZNXduO0v47wOeTPIfmnA6eV4VU1X1JDgM+keSEOdj+TzQTen0MeA9Nj/ju9FzDqrpuXtU7ir8C/T3PQyM/7JGWJEnSQmOyB+lrgK2SLDWGQPwITe/bk8CdVdXfA/kXYNDswivz1MnCRvPAKMFl1vp2Zukrk7yjqr7Z1+6OEfZzDc2kYLNJ8kyakD6WnvZraCbxmqWq7gHuSdJ7f/bdwP00E7kNMrS895jHAT9PshHNdV+ep06WNlpd0Jzj/47SbqskS7c90LO094o/G7igf6OqujrJ5TSTnt1RVRf3z0Td1/6BJGfQDKdeA/j+CDVvBAzqdd+I4d+To2lC8AeGq2E47fu9C82EXhvQ3JP8rb42Dw3YtNf/VFWn2d6H8XSaz0r/MgYslyRJkhZYk31o93doAto+g1YOmGzsuqq6YUCIhmaI8wv7tl8ceD7zdjKy3oKeoBmSe1g7WdVYnQSsn2T7Aev2pZkN+uQx7Oe7wAZJdhylzieB7wE7J3nKEN32/ukPAlcCv+vZ5n9ortse7eusqhprmDoXuAfYb9DKnvf1uzTv/6BZyvdu131nwDpogv6/0PROj8VQ++9U1aPD1HwvzUiC/no3BV5O877Npt3fx9ttVx2tkCQrJtk1yXk0oxS2p5nMa42qemNV/aBvk/Ea2r0xzUiP/mW3VtWd8+gYkiRJ0nw3qXukq+pXSQ4HPtfe93w6zX3P69KEt+uY/dm2w/kCzczTVwI/oRn+/R6aHrWvzevae3yHJkzvw1Mnqlq5HXrc66F25uhTaWZH/maS/WgeXbUszf27+wBvr6p7x3Dsk2lC2EntY6R+BNwBrE3Tw/lkT9sDaMLgeUk+QnN/9zNpZk1fH9i6ZxbsId+gmY18JUYfPj1LVT2cZE/g1CQ/AI4CrqV5L3YANgW2rapfJvk8zSzdS9P0FFfb5mDgs30zdvf6NnA2TU/7WGq6IMmqNCMXhqv5ncApSb5B08t8L7AlcARwEfCfIxziBJovJHanubd7JGfS9LafALyrqgY+t7untrka2t1+Dtfgb/eBb9R+mXFTVU1v2yxH80XUR/s234rm8ylJkiQtNCZ7jzRV9RGaSa02pZmR+SrgSzQ9dYNmcx5uP9+leb7wbjSTN/2IJjxsNcrjrOZKOyT9S8C+SVbsWfVfNM9M7n3t125TNPf2HkjTG/tHmh7h9wEvraqBPZ8Djl00s1q/l2bW6Z/QDD/+Nk0I3LSn7XRgc5rr8kWasHc2zT2wm1XVrwcc4ls0vcK30DFMVdV/0zwb+xGax5RdTfMFwto0ve5D7T5E06O6A024/x3NjOV7VtXAHu12u5lVdU9VzfY86BG2uad/CHnf+u8D/wysBvyUJvx/kuZxUK8c6faDttf/IzQzio9mb2Ddqvr4aCF6Hvl34Df8rUf9B+3fvY8mex1NsP6foQXtvfE70HyWJUmSpIVGZu8k1GSUZAOa+4F/Bry1DWbSuEhyCXBUVX2nZ9m7aZ5R/srRtl96zfVrzV2PGq2ZJEmSFnLTPjPmgarzRZLLqmrqaO0mfY+0GlV1DfAymh7lTSa4HC1C2mdrn0Zzz3qvJ2huj5AkSZIWKgbpeSTJVgOe69z/vOUJVVXXVNVBVXU5QJIfjlBz/72s4ybJLiPUdeVE1aU5U1V3VdXh/ffIV9XXqmq+TNQnSZIkzU+TerKxcXYpC19P754M//ze6eNZSJ+zgF8Ns+6J8SxEkiRJkvoZpOeRqvorzSzgC42qunWiaxikqv7CMLNfS5IkSdJEc2i3JEmSJEkdGKQlSZIkSerAIC1JkiRJUgcGaUmSJEmSOjBIS5IkSZLUgUFakiRJkqQODNKSJEmSJHVgkJYkSZIkqQODtCRJkiRJHRikJUmSJEnqwCAtSZIkSVIHBmlJkiRJkjowSEuSJEmS1IFBWpIkSZKkDgzSkiRJkiR1YJCWJEmSJKkDg7QkSZIkSR0YpCVJkiRJ6sAgLUmSJElSBwZpSZIkSZI6MEhLkiRJktSBQVqSJEmSpA4M0pIkSZIkdWCQliRJkiSpA4O0JEmSJEkdGKQlSZIkSerAIC1JkiRJUgcGaUmSJEmSOjBIS5IkSZLUgUFakiRJkqQODNKSJEmSJHVgkJYkSZIkqQODtCRJkiRJHRikJUmSJEnqwCAtSZIkSVIHBmlJkiRJkjowSEuSJEmS1IFBWpIkSZKkDgzSkiRJkiR1YJCWJEmSJKkDg7QkSZIkSR0sMdEFSNJo/vGZK3HpZ7ad6DIkSZIkwB5pSZIkSZI6MUhLkiRJktSBQVqSJEmSpA4M0pIkSZIkdWCQliRJkiSpA4O0JEmSJEkdGKQlSZIkSerAIC1JkiRJUgcGaUmSJEmSOjBIS5IkSZLUgUFakiRJkqQODNKSJEmSJHVgkJYkSZIkqQODtCRJkiRJHRikJUmSJEnqwCAtSZIkSVIHBmlJkiRJkjowSEuSJEmS1IFBWpIkSZKkDgzSkiRJkiR1YJCWJEmSJKkDg7QkSZIkSR0YpCVJkiRJ6sAgLUmSJElSBwZpSZIkSZI6MEhLkiRJktSBQVqSJEmSpA4M0pIkSZIkdWCQliRJkiSpA4O0JEmSJEkdGKQlSZIkSerAIC1JkiRJUgcGaUmSJEmSOjBIS5IkSZLUgUFakiRJkqQODNKSJEmSJHVgkJYkSZIkqQODtCRJkiRJHRikJUmSJEnqwCAtSZIkSVIHBmlJkiRJkjowSEuSJEmS1IFBWpIkSZKkDgzSkiRJkiR1YJCWJEmSJKkDg7QkSZIkSR0YpCVJkiRJ6sAgLUmSJElSBwZpSZIkSZI6MEhLkiRJktSBQVqSJEmSpA4M0pIkSZIkdWCQliRJkiSpA4O0JEmSJEkdGKQlSZIkSerAIC1JkiRJUgcGaUmSJEmSOjBIS5IkSZLUgUFakiRJkqQODNKSJEmSJHVgkJYkSZIkqQODtCRJkiRJHRikJUmSJEnqwCAtSZIkSVIHBmlJkiRJkjowSEuSJEmS1IFBWpIkSZKkDlJVE12DJI0oyV+Aqye6jkXEKsA9E13EIsJrPX681uPHaz2+vN7jx2s9fib6Wv99Va06WqMlxqMSSZpLV1fV1IkuYlGQ5FKv9fjwWo8fr/X48VqPL6/3+PFaj5+F5Vo7tFuSJEmSpA4M0pIkSZIkdWCQlrQw+NpEF7AI8VqPH6/1+PFajx+v9fjyeo8fr/X4WSiutZONSZIkSZLUgT3SkiRJkiR1YJCWtEBL8uokVye5Lsl+E13PZJVk7SQXJLkqyZVJ/mOia5rskiye5DdJzpnoWiazJCsnOS3Jn5L8MckWE13TZJXk/e1/P/6Q5LtJlpnomiaLJN9IcleSP/Qse3qSnyS5tv05ZSJrnCyGudafa/8bckWS7ydZeSJrnEwGXe+edR9MUklWmYjaRmOQlrTASrI48GVgG2Aj4C1JNprYqiatGcAHq2ojYHPg3V7r+e4/gD9OdBGLgP8EflRVzwWej9d8vkjyTOC9wNSq2hhYHHjzxFY1qXwTeHXfsv2A86tqfeD89m/NvW8y+7X+CbBxVf0f4Bpg//EuahL7JrNfb5KsDbwSuGm8Cxorg7SkBdlmwHVVdUNVPQ58D3jdBNc0KVXV7VV1efv7X2jCxjMntqrJK8lawLbA1ye6lsksyUrAPwPHAVTV41V1/8RWNaktASybZAlgOeC2Ca5n0qiqnwPT+xa/DvhW+/u3gO3HtahJatC1rqpzq2pG++cvgbXGvbBJapjPNsCRwL7AAjuhl0Fa0oLsmcDNPX/fguFuvkuyDvAC4FcTW8mkdhTNPxCenOhCJrl1gbuB49th9F9PsvxEFzUZVdWtwBE0vUe3Aw9U1bkTW9Wkt3pV3d7+fgew+kQWswjZHfjhRBcxmSV5HXBrVf1uomsZiUFakjRLkhWA04H3VdWDE13PZJRkO+CuqrpsomtZBCwBbAp8papeADyMw1/ni/b+3NfRfHnxDGD5JG+d2KoWHdU8hmeB7bmbLJIcQHMr1EkTXctklWQ54KPAgRNdy2gM0pIWZLcCa/f8vVa7TPNBkiVpQvRJVXXGRNczib0EeG2SaTS3K2yd5MSJLWnSugW4paqGRlecRhOsNe/9K/Dnqrq7qp4AzgC2nOCaJrs7k6wJ0P68a4LrmdSSvAPYDtilfH7w/PRsmi/kftf+/+RawOVJ1pjQqgYwSEtakP0aWD/JukmWopm45qwJrmlSShKa+0j/WFVfmOh6JrOq2r+q1qqqdWg+0z+tKnvu5oOqugO4Oclz2kUvB66awJIms5uAzZMs1/735OU4sdv8dhawa/v7rsB/T2Atk1qSV9PcjvPaqnpkouuZzKrq91W1WlWt0/7/5C3Apu1/zxcoBmlJC6x2Yo99gB/T/IPslKq6cmKrmrReAryNpnf0t+3r/050UdI88B7gpCRXAJsAh05wPZNS2+t/GnA58Huaf2N+bUKLmkSSfBe4GHhOkluS7AF8BnhFkmtpRgR8ZiJrnCyGudZfAlYEftL+/+OxE1rkJDLM9V4oxJEJkiRJkiSNnT3SkiRJkiR1YJCWJEmSJKkDg7QkSZIkSR0YpCVJkiRJ6sAgLUmSJElSBwZpSZIkSZI6MEhLkiRJktSBQVqSJEmSpA7+P/lZDd5FvIpCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster BLACKLIGHT2\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster CONFIG_NLS_DEFAULT\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster CRC32_CLUSTER\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster V4L2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster OVERFLOW2\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster ULPI\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster PCM\n"
     ]
    },
    {
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      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster TTM\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster AS68K\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster GEN\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster AICDB\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster AIC7XXX\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "for cluster DRM_BRIDGE_CLUSTER\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "Empty 'DataFrame': no numeric data to plot",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-294-50cc18e96aad>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     16\u001b[0m             \u001b[0mnf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnf\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0;31m# print(faulty_opts_freq)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m     \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfaulty_opts_freq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbarh\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'freq'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'faulty_option'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlegend\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m12\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     19\u001b[0m     \u001b[0mftlabels\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfaulty_opts_freq\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'faulty_option'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     20\u001b[0m     \u001b[0mftlabels_nice\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"&\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"\\n\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfaulty_opts_freq\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'faulty_option'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mbarh\u001b[0;34m(self, x, y, **kwds)\u001b[0m\n\u001b[1;32m   3168\u001b[0m             \u001b[0;34m>>\u001b[0m\u001b[0;34m>\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbarh\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'lifespan'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3169\u001b[0m         \"\"\"\n\u001b[0;32m-> 3170\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'barh'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3171\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3172\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mbox\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mby\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)\u001b[0m\n\u001b[1;32m   2939\u001b[0m                           \u001b[0mfontsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfontsize\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2940\u001b[0m                           \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2941\u001b[0;31m                           sort_columns=sort_columns, **kwds)\n\u001b[0m\u001b[1;32m   2942\u001b[0m     \u001b[0m__call__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplot_frame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2943\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mplot_frame\u001b[0;34m(data, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)\u001b[0m\n\u001b[1;32m   1975\u001b[0m                  \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1976\u001b[0m                  \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msort_columns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msort_columns\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1977\u001b[0;31m                  **kwds)\n\u001b[0m\u001b[1;32m   1978\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1979\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_plot\u001b[0;34m(data, x, y, subplots, ax, kind, **kwds)\u001b[0m\n\u001b[1;32m   1802\u001b[0m         \u001b[0mplot_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mklass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubplots\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1803\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1804\u001b[0;31m     \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1805\u001b[0m     \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1806\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    256\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    257\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_args_adjust\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 258\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compute_plot_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    259\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setup_subplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    260\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    371\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mis_empty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    372\u001b[0m             raise TypeError('Empty {0!r}: no numeric data to '\n\u001b[0;32m--> 373\u001b[0;31m                             'plot'.format(numeric_data.__class__.__name__))\n\u001b[0m\u001b[1;32m    374\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    375\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumeric_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: Empty 'DataFrame': no numeric data to plot"
     ]
    }
   ],
   "source": [
    "#from matplotlib import rcParams\n",
    "#rcParams.update({'figure.autolayout': False})\n",
    "\n",
    "for errcl in ErrorLog:\n",
    "    cl_name = errcl.name\n",
    "    cfs = rawtuxdata.query(cl_name + \" == True\")\n",
    "    print(\"for cluster\", cl_name)\n",
    "    faulty_opts_freq = pd.DataFrame(columns=[\"faulty_option\", \"freq\"])\n",
    "    nf = 0\n",
    "    for faulty_option in faulty_options:\n",
    "        flt = cfs.query(faulty_option)\n",
    "        nflt = len(flt.index)\n",
    "        if nflt > 0:\n",
    "            #print(\"faulty option:\", faulty_option, nflt)\n",
    "            faulty_opts_freq.loc[nf] = (faulty_option, nflt)\n",
    "            nf = nf + 1\n",
    "    # print(faulty_opts_freq)\n",
    "    ax = faulty_opts_freq.plot.barh(y='freq', x='faulty_option', legend=False, figsize=(12, 5))\n",
    "    ftlabels = faulty_opts_freq['faulty_option'].values\n",
    "    ftlabels_nice = [v.replace(\"&\", \"\\n\") for v in faulty_opts_freq['faulty_option'].values]\n",
    "    # print(ftlabels_nice)\n",
    "    ax.set_yticklabels(ftlabels_nice, fontsize=14)\n",
    "    ax.set_ylabel(\"\")\n",
    "    for i in ax.patches:\n",
    "        ax.text(i.get_width()-8, i.get_y()-.08, \\\n",
    "                \"#failures=\" + str(round(i.get_width(), 2)), fontsize=12,\n",
    "                    color='dimgrey')\n",
    "    \n",
    "    ax.invert_yaxis()\n",
    "    plt.title(\"cluster: \" + cl_name)\n",
    "#    plt.tight_layout()\n",
    "    plt.savefig(cl_name + \"-possiblebugs.pdf\", bbox_inches = \"tight\")\n",
    "    plt.show()\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3460, 59366, 5.8282518613347705, 3101, 0.6047232422598794, 5.223528619074891)"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# len(errorlogs.index), \n",
    "# with pure random \n",
    "nfailures = len(errorlogs.query(\"cid >= 30000 & cid <= 90000\").index)\n",
    "nconfs = len(rawtuxdata.query(\"cid >= 30000 & cid <= 90000\").index)\n",
    "n_threefaulty = len(rawtuxdata.query(\"cid >= 30000 & cid <= 90000 & cluster_errorfirst == \" + str(le_cluster.transform([ErrorLog.AIC7XXX.name])[0]) + \"| cluster_errorfirst == \" + str(le_cluster.transform([ErrorLog.AICDB.name])[0]) + \" | cluster_errorfirst == \" + str(le_cluster.transform([ErrorLog.AS68K.name])[0])).index)\n",
    "nfailures, nconfs, (nfailures / nconfs) * 100, n_threefaulty, ((nfailures - n_threefaulty) / nconfs) * 100, (nfailures / nconfs) * 100 - ((nfailures - n_threefaulty) / nconfs) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(161, 36729, 0.43834572136458927)"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# after specialization \n",
    "nfailures_spe = len(errorlogs.query(\"cid >= 90000\").index)\n",
    "nconfs_spe = len(rawtuxdata.query(\"cid >= 90000\").index)\n",
    "nfailures_spe, nconfs_spe, (nfailures_spe / nconfs_spe) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    13\n",
       "1    13\n",
       "2    13\n",
       "3    13\n",
       "4    13\n",
       "Name: cluster_errorfirst, dtype: int64"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawtuxdata['cluster_errorfirst'][:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "le_cluster.transform([ErrorLog.AIC7XXX.name])[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3621"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(errorlogs.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19"
      ]
     },
     "execution_count": 344,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "clusters_and_faults = pd.read_csv('clusters-AM-withfault.csv')\n",
    "#clusters_and_faults['failures'] = [(str(cluf['nb_failures']) + \" (\" + str(cluf['percentage']) + \"%)\") for i, cluf in clusters_and_faults.iterrows()]\n",
    "\n",
    "#clusters_and_faults['failures'] = \n",
    "# 'nb_failures', 'percentage'\n",
    "clusters_and_faults_fortex = clusters_and_faults.sort_values(by='nb_failures', ascending=False).drop(columns=['Unnamed: 0', 'Note', 'Github issue']).query(\"cluster != 'BPFFANCY'\")#[['cluster', 'failures', 'error message', 'bug (faulty option)', 'Bug?', 'Fix', ]]\n",
    "\n",
    "with open('clustersfaults.tex', 'w') as f:\n",
    "    f.write(clusters_and_faults_fortex.to_latex(index=False))\n",
    "\n",
    "\n",
    "len(clusters_and_faults_fortex.index)\n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12659, 3373, 9286)"
      ]
     },
     "execution_count": 259,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "number of options with more than one value (always 'y' or always 'n' does not count)\n",
    "'''\n",
    "nunique = 0\n",
    "for col in rawtuxdata:\n",
    "    opt = rawtuxdata[col]    \n",
    "    if len(opt.unique()) <= 1:\n",
    "        nunique = nunique + 1\n",
    "        \n",
    "len(rawtuxdata.columns), nunique, len(rawtuxdata.columns) - nunique\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "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>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3621.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>21734.601491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>59995.739333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>27.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>28.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>37.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>300110.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   0\n",
       "count    3621.000000\n",
       "mean    21734.601491\n",
       "std     59995.739333\n",
       "min         3.000000\n",
       "25%        27.000000\n",
       "50%        28.000000\n",
       "75%        37.000000\n",
       "max    300110.000000"
      ]
     },
     "execution_count": 297,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame([len(error.splitlines()) for error in errorlogs['error_message']]).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "92.32256282794809"
      ]
     },
     "execution_count": 329,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "warnings_occ = pd.DataFrame([((\"warnings\" in error) or (\"Warning:\" in error)) for error in errorlogs['error_message']])[0].value_counts()\n",
    "(warnings_occ[0] / (warnings_occ[0] + warnings_occ[1])) * 100\n",
    "#(3103 / (3103+518)) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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