practice2_11611803.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dealing with data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 1. The command line\n",
    "The command line is a text oriented way to perform operations with your operating system (looking at files, copying or creating folders, starting programs, etc). \n",
    "\n",
    "It can give you more control and provide a way to \"look under the hood\". In many cases, such as dealing with raw data files, the command line is faster. \n",
    "\n",
    "As computer scientists you should be familiar with the terminal or command line as well as unix (\"Bash\") commands.\n",
    "\n",
    "![Terminal](images/terminal.png)\n",
    "\n",
    "Note: MS Windows provides a different set of command line commands from Unix. Apple computers include the full set of Unix commands as the operating system is more closely based on Unix. Linux is an implementation of Unix. When you installed the Anaconda distribution in the last practical, you also installed the Unix commands onto your system as well. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1. File system (Optional*)\n",
    "To navigate the folder structure of the machine you are on you will typically use commands such as `ls` (list) and `cd` (change directory). You can make a directory with `mkdir` or move (`mv`) and copy (`cp`) files. To delete a file you can `rm` (remove) it. To print the contents of a file you can `cat` (concatenate) it to the screen.\n",
    "\n",
    "Many commands have options you can set when running them. For example to get a listing of files as a vertical list you can pass the `-l` (list) flag, e.g. '`ls -l`'. During the normal course of using the command line, you will learn the most useful flags. The `-r` option is for recursive version of commands so that you can for example delete subfolders when you delete a directory with `rm -r` (be very careful with this command!).\n",
    "\n",
    "If you want to see all possible options you can always read the `man` (manual) page for a command, e.g. '`man ls`'. When you are done reading the `man` page, you can exit by hitting `q` to quit."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can use shell commands in IPython notebooks by prefixing the line with an exclamation point!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\n",
      "Dealing with data solutions.ipynb\n",
      "images\n",
      "practice2_11611803.ipynb\n",
      "test\n"
     ]
    }
   ],
   "source": [
    "!ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "子目录或文件 test 已经存在。\n"
     ]
    }
   ],
   "source": [
    "!mkdir test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 728\n",
      "drwxr-xr-x 1 璧靛姏杈捐揪杈� 197609      0 3鏈�  18 22:25 data\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609 453593 3鏈�  21 17:19 Dealing with data solutions.ipynb\n",
      "drwxr-xr-x 1 璧靛姏杈捐揪杈� 197609      0 3鏈�  14 16:22 images\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609 285370 3鏈�  21 16:34 practice2_11611803.ipynb\n",
      "drwxr-xr-x 1 璧靛姏杈捐揪杈� 197609      0 3鏈�  21 16:33 test\n"
     ]
    }
   ],
   "source": [
    "!ls -l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 60\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609 26799 3鏈�  14 16:22 iris.png\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609 28925 3鏈�  14 16:22 terminal.png\n"
     ]
    }
   ],
   "source": [
    "!ls -l images/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "!cp images/terminal.png test/some_picture.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "some_picture.png\n"
     ]
    }
   ],
   "source": [
    "!ls test/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "rm: cannot remove 'test/': Is a directory\n",
      "rm: cannot remove '#': No such file or directory\n",
      "rm: cannot remove 'you': No such file or directory\n",
      "rm: cannot remove 'cant delete a folder using `rm`!': No such file or directory\n"
     ]
    }
   ],
   "source": [
    "!rm test/ # you can't delete a folder using `rm`!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# WARNING THIS WILL NOT CONFIRM!\n",
    "!rm -rf test/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 728\n",
      "drwxr-xr-x 1 璧靛姏杈捐揪杈� 197609      0 3鏈�  18 22:25 data\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609 453593 3鏈�  21 17:19 Dealing with data solutions.ipynb\n",
      "drwxr-xr-x 1 璧靛姏杈捐揪杈� 197609      0 3鏈�  14 16:22 images\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609 285370 3鏈�  21 16:34 practice2_11611803.ipynb\n"
     ]
    }
   ],
   "source": [
    "!ls -l"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2. Data manipulation and exploration\n",
    "Virtually anything you want to do with a data file can be done at the command line. There are dozens of commands that can be used together to almost anything you would think of! \n",
    "\n",
    "Lets take a look at the the file `data/users.csv`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before we do anything, lets take a look at the first few lines of the file to get an idea of what's in it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "user,variable1,variable2\n",
      "parallelconcerned,145.391881,-6.081689\n",
      "driftmvc,145.7887,-5.207083\n",
      "snowdonevasive,144.295861,-5.826789\n",
      "cobolglaucous,146.726242,-6.569828\n",
      "stylishmugs,147.22005,-9.443383\n",
      "hypergalaxyfibula,143.669186,-3.583828\n",
      "pipetsrockers,-45.425978,61.160517\n",
      "bracesworkable,-51.678064,64.190922\n",
      "spiritedjump,-50.689325,67.016969\n"
     ]
    }
   ],
   "source": [
    "!head data/users.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Maybe we want to see a few more lines of the file,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "user,variable1,variable2\n",
      "parallelconcerned,145.391881,-6.081689\n",
      "driftmvc,145.7887,-5.207083\n",
      "snowdonevasive,144.295861,-5.826789\n",
      "cobolglaucous,146.726242,-6.569828\n",
      "stylishmugs,147.22005,-9.443383\n",
      "hypergalaxyfibula,143.669186,-3.583828\n",
      "pipetsrockers,-45.425978,61.160517\n",
      "bracesworkable,-51.678064,64.190922\n",
      "spiritedjump,-50.689325,67.016969\n",
      "barnevidence,-68.703161,76.531203\n",
      "emeraldclippers,-18.072703,65.659994\n",
      "maintainwiggly,-14.401389,65.283333\n",
      "submittedwavelength,-15.227222,64.295556\n",
      "clucklinnet,-17.425978,65.952328\n"
     ]
    }
   ],
   "source": [
    "!head -15 data/users.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How about the last few lines of the file?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "troubledseptum,135.521667,-29.716667\n",
      "troubledseptum,-118.598889,34.256944\n",
      "organicmajor,-5.435,36.136\n",
      "cobolglaucous,-123.5,48.85\n",
      "troubledseptum,-124.016667,49.616667\n",
      "snaildossier,-124.983333,50.066667\n",
      "unbalancedprotoplanet,-127.028611,50.575556\n",
      "badgefields,-126.833333,50.883333\n",
      "backedammeter,-123.00596,48.618397\n",
      "clucklinnet,-117.1995,32.7552\n"
     ]
    }
   ],
   "source": [
    "!tail data/users.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can count how many lines are in the file by using `wc` (a word counting tool) with the `-l` flag to count lines,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8104 data/users.csv\n"
     ]
    }
   ],
   "source": [
    "!wc -l data/users.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It looks like there are three columns in this file, lets take a look at the first one alone. Here, we can `cut` the field (`-f`) we want as long as we give the proper delimeter (`-d` defaults to tab)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "user\n",
      "parallelconcerned\n",
      "driftmvc\n",
      "snowdonevasive\n",
      "cobolglaucous\n",
      "stylishmugs\n",
      "hypergalaxyfibula\n",
      "pipetsrockers\n",
      "bracesworkable\n",
      "spiritedjump\n",
      "barnevidence\n",
      "emeraldclippers\n",
      "maintainwiggly\n",
      "submittedwavelength\n",
      "clucklinnet\n",
      "bluetailgodwottery\n",
      "microwavejar\n",
      "croutonwrack\n",
      "submittedwavelength\n",
      "moderatohorn\n",
      "heaterinert\n",
      "micaassistant\n",
      "gaudyfea\n",
      "turnoverlovesick\n",
      "amuckpoints\n",
      "allegatorwafers\n",
      "expecteffective\n",
      "mincegaiters\n",
      "peacefulceaseless\n",
      "decanterbalance\n",
      "synonympatisserie\n",
      "starbucksbluetail\n",
      "pipeathlete\n",
      "radicandoceanic\n",
      "somethingalbedo\n",
      "craytugofwar\n",
      "pipetsrockers\n",
      "unbalancedprotoplanet\n",
      "emeraldclippers\n",
      "ischemicfrosted\n",
      "binomialapathetic\n",
      "stairsgobsmacked\n",
      "ledgeindeed\n",
      "badgefields\n",
      "synonympatisserie\n",
      "worldlyventuri\n",
      "globeshameful\n",
      "alloweruptions\n",
      "burritoscarriage\n",
      "grabbig\n",
      "dronessomersault\n",
      "latticelaboratory\n",
      "ellipticalfabricator\n",
      "amuckpoints\n",
      "guavaconfide\n",
      "fundingticket\n",
      "croutonwrack\n",
      "elatedunicorn\n",
      "freelysociable\n",
      "loindecorate\n",
      "micaassistant\n",
      "dweebspices\n",
      "latticelaboratory\n",
      "babyambitious\n",
      "specifiedinnovative\n",
      "colonclipper\n",
      "pipeathlete\n",
      "cranesurgeon\n",
      "belchedsodding\n",
      "actuallyfoot\n",
      "horsesmultiply\n",
      "microwavejar\n",
      "snaildossier\n",
      "globeshameful\n",
      "eontop\n",
      "tendonwench\n",
      "flakyunlawful\n",
      "twitequiver\n",
      "showerspain\n",
      "figsql\n",
      "barnevidence\n",
      "shrillbanjos\n",
      "maintainwiggly\n",
      "fundingticket\n",
      "planktonuses\n",
      "elatedunicorn\n",
      "agenascientists\n",
      "barnevidence\n",
      "swankythough\n",
      "paddlevacuole\n",
      "stairsgobsmacked\n",
      "flickcanapes\n",
      "unicyclistamiable\n",
      "hypergalaxyfibula\n",
      "mtvgrosbeak\n",
      "wordsundress\n",
      "ledgeindeed\n",
      "moderatohorn\n",
      "alloweruptions\n",
      "surmiseteenagers\n",
      "somethingalbedo\n",
      "somethingalbedo\n",
      "hoursethanoate\n",
      "looroasting\n",
      "lymphomamellow\n",
      "stylishmugs\n",
      "dampedbrioche\n",
      "craytugofwar\n",
      "unguardedgiant\n",
      "wordsundress\n",
      "unbalancedprotoplanet\n",
      "epsiloncloning\n",
      "ytterbiumprovincial\n",
      "disjointtoday\n",
      "gogglesknacker\n",
      "croutonwrack\n",
      "bashrower\n",
      "bunchmeats\n",
      "binomialapathetic\n",
      "behaveterminal\n",
      "wonderfulscullian\n",
      "sortinterior\n",
      "loindecorate\n",
      "paddlevacuole\n",
      "hoovessquares\n",
      "hoovessquares\n",
      "musicalchampagne\n",
      "eontop\n",
      "guavaconfide\n",
      "chiselleddessicants\n",
      "popmatrices\n",
      "poundingfrustum\n",
      "easybobolink\n",
      "wisefumbling\n",
      "compareas\n",
      "clucklinnet\n",
      "meggingswine\n",
      "sectionssqueaky\n",
      "crepegrape\n",
      "crepegrape\n",
      "neckedjre\n",
      "micaassistant\n",
      "twitequiver\n",
      "bluetailgodwottery\n",
      "xslhopeful\n",
      "farrowcetti\n",
      "craytugofwar\n",
      "peacefulceaseless\n",
      "cranniescigarette\n",
      "singesculptor\n",
      "specifiedinnovative\n",
      "emeraldclippers\n",
      "tendonwench\n",
      "dampedbrioche\n",
      "snowdonevasive\n",
      "colonclipper\n",
      "bracesworkable\n",
      "duexslt\n",
      "simplicityfairy\n",
      "hoursethanoate\n",
      "flakyunlawful\n",
      "tendonwench\n",
      "showerspain\n",
      "showerspain\n",
      "lasttaiga\n",
      "canalhateful\n",
      "rappelarias\n",
      "hypergalaxyfibula\n",
      "historypant\n",
      "rubbishbladder\n",
      "elatedunicorn\n",
      "cranniescigarette\n",
      "cranesurgeon\n",
      "disjointtoday\n",
      "agenascientists\n",
      "handywrist\n",
      "ledgeindeed\n",
      "gammagot\n",
      "blythpulse\n",
      "blythpulse\n",
      "impetuousfurbelows\n",
      "guavaconfide\n",
      "gravelscientific\n",
      "strungebay\n",
      "analbar\n",
      "xslhopeful\n",
      "wisefumbling\n",
      "compareas\n",
      "gnarledbaggy\n",
      "mincegaiters\n",
      "sociablelemma\n",
      "gnarledbaggy\n",
      "gogglesknacker\n",
      "snowdonevasive\n",
      "cleaningburnt\n",
      "hoovessquares\n",
      "binomialapathetic\n",
      "flinkjordan\n",
      "tyrespan\n",
      "moderatohorn\n",
      "allegatorwafers\n",
      "europiumcentury\n",
      "bluetailgodwottery\n",
      "quadratcranky\n",
      "simplicityfairy\n",
      "wordsundress\n",
      "feverspolystyrene\n",
      "batchquickest\n",
      "alloweruptions\n",
      "alloweruptions\n",
      "mtvgrosbeak\n",
      "snowdonevasive\n",
      "compareas\n",
      "fattyoddball\n",
      "sectionssqueaky\n",
      "fattyoddball\n",
      "fattyoddball\n",
      "guavaconfide\n",
      "maintainwiggly\n",
      "tyrespan\n",
      "behaviourverbena\n",
      "meggingswine\n",
      "elatedunicorn\n",
      "ytterbiumprovincial\n",
      "clucklinnet\n",
      "tweezerscurve\n",
      "gaudyfea\n",
      "freelysociable\n",
      "canalhateful\n",
      "tubingwheatear\n",
      "surmiseteenagers\n",
      "fattyoddball\n",
      "deficientclunking\n",
      "spiritedjump\n",
      "fattyoddball\n",
      "belchedsodding\n",
      "gammagot\n",
      "neighborlyrook\n",
      "completionskylark\n",
      "babyambitious\n",
      "deficientclunking\n",
      "trapdoormongrel\n",
      "singesculptor\n",
      "rigelpaunchy\n",
      "canalhateful\n",
      "completionskylark\n",
      "dweebspices\n",
      "trapdoormongrel\n",
      "microwavejar\n",
      "mincegaiters\n",
      "trapdoormongrel\n",
      "gogglesknacker\n",
      "backedammeter\n",
      "epsiloncloning\n",
      "copalinstruct\n",
      "amuckpoints\n",
      "trapdoormongrel\n",
      "risottospell\n",
      "dialgraft\n",
      "axlevirtue\n",
      "cleaningburnt\n",
      "listenerabandoned\n",
      "pipeathlete\n",
      "gogglesknacker\n",
      "hoovessquares\n",
      "replacedbevy\n",
      "snowdonevasive\n",
      "ashamedmuscles\n",
      "musicalchampagne\n",
      "cowardlyabout\n",
      "hoovessquares\n",
      "stairsgobsmacked\n",
      "eminentallergy\n",
      "eontop\n",
      "twitequiver\n",
      "binomialapathetic\n",
      "horsesmultiply\n",
      "simplicityfairy\n",
      "peacefulceaseless\n",
      "singesculptor\n",
      "bunchmeats\n",
      "meggingswine\n",
      "heomicron\n",
      "farrowcetti\n",
      "fizzlehelp\n",
      "bonelliseal\n",
      "ashamedmuscles\n",
      "deficientclunking\n",
      "neighborlyrook\n",
      "turnoverlovesick\n",
      "popmatrices\n",
      "stairsgobsmacked\n",
      "ellipticalfabricator\n",
      "gnarledbaggy\n",
      "sectionssqueaky\n",
      "gilletteclammy\n",
      "analbar\n",
      "raggedshrink\n",
      "grabbig\n",
      "unbalancedprotoplanet\n",
      "singesculptor\n",
      "bismuthcolloquial\n",
      "worldlyventuri\n",
      "guavaconfide\n",
      "chiselleddessicants\n",
      "trapdoormongrel\n",
      "ceilinjuries\n",
      "rappelarias\n",
      "gnarledbaggy\n",
      "sectionssqueaky\n",
      "europiumcentury\n",
      "gammagot\n",
      "dotwazzack\n",
      "radicandoceanic\n",
      "fixnumquicklime\n",
      "opticsdiameter\n",
      "nursingrash\n",
      "fixnumquicklime\n",
      "synonympatisserie\n",
      "applyingbaker\n",
      "chiselleddessicants\n",
      "freelysociable\n",
      "ashamedmuscles\n",
      "bashrower\n",
      "handywrist\n",
      "emeraldclippers\n",
      "europiumcentury\n",
      "fizzclimbing\n",
      "rappelarias\n",
      "hoovessquares\n",
      "tyrespan\n",
      "swankythough\n",
      "axlevirtue\n",
      "looroasting\n",
      "upbeatodd\n",
      "gilletteclammy\n",
      "ellipticalfabricator\n",
      "lasttaiga\n",
      "musicalchampagne\n",
      "buoyancycowardice\n",
      "fixnumquicklime\n",
      "hoovessquares\n",
      "handywrist\n",
      "rappelarias\n",
      "producecoven\n",
      "colonclipper\n",
      "cheapersyllable\n",
      "unbalancedprotoplanet\n",
      "unicyclistamiable\n",
      "clucklinnet\n",
      "simplicityfairy\n",
      "applyingbaker\n",
      "synonympatisserie\n",
      "casesslippery\n",
      "pancakesgrebe\n",
      "driftmvc\n",
      "blythpulse\n",
      "unguardedgiant\n",
      "bashrower\n",
      "opticsdiameter\n",
      "unbalancedprotoplanet\n",
      "bismuthcolloquial\n",
      "unicyclistamiable\n",
      "ischemicfrosted\n",
      "feverspolystyrene\n",
      "copalinstruct\n",
      "ellipticalfabricator\n",
      "axlevirtue\n",
      "swankythough\n",
      "sectionssqueaky\n",
      "moderatohorn\n",
      "synonympatisserie\n",
      "bracesworkable\n",
      "cranesurgeon\n",
      "stylishmugs\n",
      "translatecyclist\n",
      "gruntdrive\n",
      "wisefumbling\n",
      "troubledseptum\n",
      "bismuthcolloquial\n",
      "hoovessquares\n",
      "flakyunlawful\n",
      "apronextension\n",
      "neighborlyrook\n",
      "advisorlanguage\n",
      "dotwazzack\n",
      "organicmajor\n",
      "craytugofwar\n",
      "chichazard\n",
      "gammagot\n",
      "badgefields\n",
      "sociablelemma\n",
      "disjointtoday\n",
      "quadratcranky\n",
      "singesculptor\n",
      "xslhopeful\n",
      "eontop\n",
      "cobolglaucous\n",
      "guavaconfide\n",
      "ischemicfrosted\n",
      "guavaconfide\n",
      "buoyancycowardice\n",
      "shrillbanjos\n",
      "ledgeindeed\n",
      "advisorlanguage\n",
      "handywrist\n",
      "allocatesposts\n",
      "barnevidence\n",
      "actuallyfoot\n",
      "ischemicfrosted\n",
      "tubingwheatear\n",
      "europiumcentury\n",
      "somethingalbedo\n",
      "easybobolink\n",
      "turnoverlovesick\n",
      "advisorlanguage\n",
      "stylishmugs\n",
      "flickcanapes\n",
      "stunassured\n",
      "freelysociable\n",
      "surmiseteenagers\n",
      "pancakesgrebe\n",
      "rigelpaunchy\n",
      "sociablelemma\n",
      "ytterbiumprovincial\n",
      "sortinterior\n",
      "producecoven\n",
      "deficientclunking\n",
      "looroasting\n",
      "simplicityfairy\n",
      "worldlyventuri\n",
      "figsql\n",
      "poundingfrustum\n",
      "freelysociable\n",
      "agenascientists\n",
      "organicmajor\n",
      "hoovessquares\n",
      "smackswallow\n",
      "musicalchampagne\n",
      "paddlevacuole\n",
      "troubledseptum\n",
      "meatsoffbeat\n",
      "upbeatodd\n",
      "realtorcaustic\n",
      "cartridgesbummage\n",
      "wisefumbling\n",
      "meggingswine\n",
      "sectionssqueaky\n",
      "ceilinjuries\n",
      "latticelaboratory\n",
      "grabbig\n",
      "figsql\n",
      "upbeatodd\n",
      "buoyancycowardice\n",
      "hoursethanoate\n",
      "neckedjre\n",
      "mtvgrosbeak\n",
      "parallelconcerned\n",
      "latticelaboratory\n",
      "eontop\n",
      "poundingfrustum\n",
      "dampedbrioche\n",
      "looroasting\n",
      "rappelarias\n",
      "badgefields\n",
      "clucklinnet\n",
      "frequencywould\n",
      "listenerabandoned\n",
      "carrionscream\n",
      "rubbishbladder\n",
      "unguardedgiant\n",
      "worldlyventuri\n",
      "meatsoffbeat\n",
      "smackswallow\n",
      "poundingfrustum\n",
      "canalhateful\n",
      "craytugofwar\n",
      "binomialapathetic\n",
      "eontop\n",
      "lasttaiga\n",
      "metaiota\n",
      "apronextension\n",
      "bonelliseal\n",
      "risottospell\n",
      "dialgraft\n",
      "strungebay\n",
      "upbeatodd\n",
      "metaiota\n",
      "wordsundress\n",
      "moderatohorn\n",
      "rappelarias\n",
      "historypant\n",
      "historypant\n",
      "organicmajor\n",
      "alloweruptions\n",
      "applyingbaker\n",
      "frequencywould\n",
      "raggedshrink\n",
      "somethingalbedo\n",
      "applyingbaker\n",
      "chiselleddessicants\n",
      "behaviourverbena\n",
      "decanterbalance\n",
      "heaterinert\n",
      "troubledseptum\n",
      "burntrifle\n",
      "blythpulse\n",
      "heaterinert\n",
      "dotwazzack\n",
      "lymphomamellow\n",
      "crepegrape\n",
      "replacedbevy\n",
      "realtorcaustic\n",
      "sectionssqueaky\n",
      "langeredsubset\n",
      "feverspolystyrene\n",
      "europiumcentury\n",
      "backedammeter\n",
      "axlevirtue\n",
      "quadratcranky\n",
      "expecteffective\n",
      "mtvgrosbeak\n",
      "latticelaboratory\n",
      "advisorlanguage\n",
      "poohvireo\n",
      "wonderfulscullian\n",
      "craytugofwar\n",
      "flakyunlawful\n",
      "emeraldclippers\n",
      "tubingwheatear\n",
      "compareas\n",
      "risottospell\n",
      "troubledseptum\n",
      "translatecyclist\n",
      "moderatohorn\n",
      "handywrist\n",
      "sociablelemma\n",
      "loindecorate\n",
      "producecoven\n",
      "organicmajor\n",
      "eontop\n",
      "batchquickest\n",
      "eontop\n",
      "batchquickest\n",
      "tweezerscurve\n",
      "globeshameful\n",
      "moderatohorn\n",
      "cranniescigarette\n",
      "meatsoffbeat\n",
      "ceilinjuries\n",
      "trapdoormongrel\n",
      "ledgeindeed\n",
      "microwavejar\n",
      "singesculptor\n",
      "looroasting\n",
      "metaiota\n",
      "fizzlehelp\n",
      "replacedbevy\n",
      "gnarledbaggy\n",
      "allegatorwafers\n",
      "dweebspices\n",
      "hoovessquares\n",
      "flickcanapes\n",
      "simplicityfairy\n",
      "allocatesposts\n",
      "chichazard\n",
      "binomialapathetic\n",
      "stylishmugs\n",
      "dampedbrioche\n",
      "troubledseptum\n",
      "rubbishbladder\n",
      "flinkjordan\n",
      "mincegaiters\n",
      "impetuousfurbelows\n",
      "historypant\n",
      "dialgraft\n",
      "opticsdiameter\n",
      "pipeathlete\n",
      "globeshameful\n",
      "cartridgesbummage\n",
      "smackswallow\n",
      "bashrower\n",
      "upbeatodd\n",
      "fizzlehelp\n",
      "sociablelemma\n",
      "cobolglaucous\n",
      "meatsoffbeat\n",
      "tyrespan\n",
      "expecteffective\n",
      "lasttaiga\n",
      "handywrist\n",
      "raggedshrink\n",
      "fizzlehelp\n",
      "compareas\n",
      "meatsoffbeat\n",
      "upbeatodd\n",
      "replacedbevy\n",
      "gravelscientific\n",
      "chichazard\n",
      "barnevidence\n",
      "neckedjre\n",
      "privacyhaunt\n",
      "popmatrices\n",
      "troubledseptum\n",
      "mtvgrosbeak\n",
      "crepegrape\n",
      "decanterbalance\n",
      "risottospell\n",
      "eontop\n",
      "strungebay\n",
      "unbalancedprotoplanet\n",
      "raggedshrink\n",
      "burritoscarriage\n",
      "showerspain\n",
      "dampedbrioche\n",
      "bracesworkable\n",
      "ashamedmuscles\n",
      "parallelconcerned\n",
      "heomicron\n",
      "gaudyfea\n",
      "producecoven\n",
      "replacedbevy\n",
      "allegatorwafers\n",
      "planktonuses\n",
      "swankythough\n",
      "horsesmultiply\n",
      "phobosstaccato\n",
      "gilletteclammy\n",
      "dampedbrioche\n",
      "pipeathlete\n",
      "babyambitious\n",
      "ceilinjuries\n",
      "mincegaiters\n",
      "binomialapathetic\n",
      "sociablelemma\n",
      "upbeatodd\n",
      "colonclipper\n",
      "unbalancedprotoplanet\n",
      "amuckpoints\n",
      "moderatohorn\n",
      "planktonuses\n",
      "mtvgrosbeak\n",
      "musicalchampagne\n",
      "impetuousfurbelows\n",
      "cuboidpass\n",
      "gilletteclammy\n",
      "burntrifle\n",
      "gruntdrive\n",
      "badgefields\n",
      "realtorcaustic\n",
      "realtorcaustic\n",
      "dotwazzack\n",
      "bunchmeats\n",
      "smackswallow\n",
      "advisorlanguage\n",
      "flinkjordan\n",
      "fixnumquicklime\n",
      "coatprecious\n",
      "colonclipper\n",
      "fizzlehelp\n",
      "chichazard\n",
      "allocatesposts\n",
      "earmarinated\n",
      "guavaconfide\n",
      "badgefields\n",
      "barnevidence\n",
      "compareas\n",
      "fixnumquicklime\n",
      "simplicityfairy\n",
      "phobosstaccato\n",
      "feverspolystyrene\n",
      "europiumcentury\n",
      "risottospell\n",
      "babyambitious\n",
      "duexslt\n",
      "lasttaiga\n",
      "alloweruptions\n",
      "popmatrices\n",
      "tendonwench\n",
      "hypergalaxyfibula\n",
      "ledgeindeed\n",
      "burntrifle\n",
      "peacefulceaseless\n",
      "binomialapathetic\n",
      "geologybeeping\n",
      "organicmajor\n",
      "peacefulceaseless\n",
      "deficientclunking\n",
      "paddlevacuole\n",
      "handywrist\n",
      "xslhopeful\n",
      "fizzlehelp\n",
      "eminentallergy\n",
      "bunchmeats\n",
      "ashamedmuscles\n",
      "simplicityfairy\n",
      "singesculptor\n",
      "earmarinated\n",
      "meatsoffbeat\n",
      "pipetsrockers\n",
      "applyingbaker\n",
      "gnarledbaggy\n",
      "heaterinert\n",
      "emeraldclippers\n",
      "gaudyfea\n",
      "farrowcetti\n",
      "gammagot\n",
      "allocatesposts\n",
      "rubbishbladder\n",
      "gogglesknacker\n",
      "axlevirtue\n",
      "flinkjordan\n",
      "bismuthcolloquial\n",
      "wisefumbling\n",
      "ceilinjuries\n",
      "worldlyventuri\n",
      "ashamedmuscles\n",
      "cranesurgeon\n",
      "bluetailgodwottery\n",
      "unbalancedprotoplanet\n",
      "pipeathlete\n",
      "mincegaiters\n",
      "rigelpaunchy\n",
      "synonympatisserie\n",
      "analbar\n",
      "tubingwheatear\n",
      "actuallyfoot\n",
      "meggingswine\n",
      "sociablelemma\n",
      "cobolglaucous\n",
      "ashamedmuscles\n",
      "dweebspices\n",
      "poundingfrustum\n",
      "batchquickest\n",
      "peacefulceaseless\n",
      "dronessomersault\n",
      "swankythough\n",
      "tendonwench\n",
      "dialgraft\n",
      "fattyoddball\n",
      "batchquickest\n",
      "coatprecious\n",
      "apronextension\n",
      "mincegaiters\n",
      "radicandoceanic\n",
      "flickcanapes\n",
      "burntrifle\n",
      "disjointtoday\n",
      "troubledseptum\n",
      "tyrespan\n",
      "tendonwench\n",
      "hypergalaxyfibula\n",
      "metaiota\n",
      "smackswallow\n",
      "stairsgobsmacked\n",
      "twitequiver\n",
      "neighborlyrook\n",
      "burntrifle\n",
      "feverspolystyrene\n",
      "micaassistant\n",
      "cobolglaucous\n",
      "ledgeindeed\n",
      "impetuousfurbelows\n",
      "belchedsodding\n",
      "radicandoceanic\n",
      "bunchmeats\n",
      "replacedbevy\n",
      "freelysociable\n",
      "bunchmeats\n",
      "surmiseteenagers\n",
      "latticelaboratory\n",
      "gammagot\n",
      "poohvireo\n",
      "popmatrices\n",
      "rappelarias\n",
      "turnoverlovesick\n",
      "langeredsubset\n",
      "wonderfulscullian\n",
      "snaildossier\n",
      "craytugofwar\n",
      "ashamedmuscles\n",
      "eminentallergy\n",
      "fattyoddball\n",
      "translatecyclist\n",
      "lasttaiga\n",
      "europiumcentury\n",
      "handywrist\n",
      "mtvgrosbeak\n",
      "easybobolink\n",
      "gogglesknacker\n",
      "realtorcaustic\n",
      "neckedjre\n",
      "lickerbond\n",
      "bluetailgodwottery\n",
      "lickerbond\n",
      "barnevidence\n",
      "wordsundress\n",
      "blythpulse\n",
      "musicalchampagne\n",
      "xslhopeful\n",
      "smackswallow\n",
      "expecteffective\n",
      "driftmvc\n",
      "submittedwavelength\n",
      "dialgraft\n",
      "alloweruptions\n",
      "loindecorate\n",
      "farrowcetti\n",
      "burritoscarriage\n",
      "completionskylark\n",
      "mtvgrosbeak\n",
      "copalinstruct\n",
      "fattyoddball\n",
      "peacefulceaseless\n",
      "copalinstruct\n",
      "pleasinghoop\n",
      "disjointtoday\n",
      "compareas\n",
      "frequencywould\n",
      "gilletteclammy\n",
      "historypant\n",
      "tubingwheatear\n",
      "smackswallow\n",
      "upbeatodd\n",
      "gogglesknacker\n",
      "singesculptor\n",
      "popmatrices\n",
      "rigelpaunchy\n",
      "wordsundress\n",
      "croutonwrack\n",
      "trapdoormongrel\n",
      "smackswallow\n",
      "ceilinjuries\n",
      "translatecyclist\n",
      "globeshameful\n",
      "sortinterior\n",
      "binomialapathetic\n",
      "upbeatodd\n",
      "dweebspices\n",
      "replacedbevy\n",
      "latticelaboratory\n",
      "easybobolink\n",
      "tyrespan\n",
      "lickerbond\n",
      "radicandoceanic\n",
      "snaildossier\n",
      "cuboidpass\n",
      "gravelscientific\n",
      "spiritedjump\n",
      "micaassistant\n",
      "stunassured\n",
      "spiritedjump\n",
      "completionskylark\n",
      "dialgraft\n",
      "eminentallergy\n",
      "lickerbond\n",
      "barnevidence\n",
      "snowdonevasive\n",
      "parallelconcerned\n",
      "copalinstruct\n",
      "specifiedinnovative\n",
      "peacefulceaseless\n",
      "ashamedmuscles\n",
      "burritoscarriage\n",
      "dotwazzack\n",
      "driftmvc\n",
      "loindecorate\n",
      "specifiedinnovative\n",
      "poundingfrustum\n",
      "pipeathlete\n",
      "privacyhaunt\n",
      "guavaconfide\n",
      "axlevirtue\n",
      "namibianstabbing\n",
      "amuckpoints\n",
      "wonderfulscullian\n",
      "cobolglaucous\n",
      "quadratcranky\n",
      "poohvireo\n",
      "gruntdrive\n",
      "burntrifle\n",
      "listenerabandoned\n",
      "cartridgesbummage\n",
      "bunchmeats\n",
      "burntrifle\n",
      "crepegrape\n",
      "phobosstaccato\n",
      "instantthwack\n",
      "evaporatingplug\n",
      "singesculptor\n",
      "dampedbrioche\n",
      "specifiedinnovative\n",
      "feverspolystyrene\n",
      "upbeatodd\n",
      "cartridgesbummage\n",
      "farrowcetti\n",
      "binomialapathetic\n",
      "unguardedgiant\n",
      "stunassured\n",
      "cheapersyllable\n",
      "risottospell\n",
      "privacyhaunt\n",
      "moderatohorn\n",
      "decanterbalance\n",
      "gilletteclammy\n",
      "alloweruptions\n",
      "analbar\n",
      "neckedjre\n",
      "chiselleddessicants\n",
      "turnoverlovesick\n",
      "fundingticket\n",
      "planktonuses\n",
      "risottospell\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "micaassistant\n",
      "tweezerscurve\n",
      "raggedshrink\n",
      "flinkjordan\n",
      "frequencywould\n",
      "cleaningburnt\n",
      "eontop\n",
      "cheapersyllable\n",
      "fixnumquicklime\n",
      "gnarledbaggy\n",
      "guavaconfide\n",
      "sociablelemma\n",
      "dweebspices\n",
      "hypergalaxyfibula\n",
      "handywrist\n",
      "twitequiver\n",
      "realtorcaustic\n",
      "bonelliseal\n",
      "epsiloncloning\n",
      "axlevirtue\n",
      "trapdoormongrel\n",
      "disjointtoday\n",
      "unguardedgiant\n",
      "pipetsrockers\n",
      "amuckpoints\n",
      "pancakesgrebe\n",
      "compareas\n",
      "ledgeindeed\n",
      "poundingfrustum\n",
      "fattyoddball\n",
      "sociablelemma\n",
      "burntrifle\n",
      "europiumcentury\n",
      "snaildossier\n",
      "gruntdrive\n",
      "sociablelemma\n",
      "troubledseptum\n",
      "babyambitious\n",
      "worldlyventuri\n",
      "disjointtoday\n",
      "bunchmeats\n",
      "bashrower\n",
      "tubingwheatear\n",
      "evaporatingplug\n",
      "strungebay\n",
      "rubbishbladder\n",
      "nursingrash\n",
      "unicyclistamiable\n",
      "buoyancycowardice\n",
      "actuallyfoot\n",
      "expecteffective\n",
      "neckedjre\n",
      "croutonwrack\n",
      "barnevidence\n",
      "bracesworkable\n",
      "elatedunicorn\n",
      "lymphomamellow\n",
      "ceilinjuries\n",
      "behaveterminal\n",
      "allegatorwafers\n",
      "wonderfulscullian\n",
      "namibianstabbing\n",
      "flinkjordan\n",
      "chichazard\n",
      "peacefulceaseless\n",
      "burntrifle\n",
      "loindecorate\n",
      "driftmvc\n",
      "mtvgrosbeak\n",
      "specifiedinnovative\n",
      "colonclipper\n",
      "hoovessquares\n",
      "freelysociable\n",
      "hoovessquares\n",
      "fizzlehelp\n",
      "hoursethanoate\n",
      "historypant\n",
      "unbalancedprotoplanet\n",
      "crepegrape\n",
      "dronessomersault\n",
      "xslhopeful\n",
      "agenascientists\n",
      "planktonuses\n",
      "cobolglaucous\n",
      "surmiseteenagers\n",
      "driftmvc\n",
      "amuckpoints\n",
      "grabbig\n",
      "cowardlyabout\n",
      "sortinterior\n",
      "smackswallow\n",
      "troubledseptum\n",
      "bashrower\n",
      "synonympatisserie\n",
      "rubbishbladder\n",
      "batchquickest\n",
      "completionskylark\n",
      "fattyoddball\n",
      "mincegaiters\n",
      "bismuthcolloquial\n",
      "freelysociable\n",
      "fizzlehelp\n",
      "snaildossier\n",
      "stunassured\n",
      "alloweruptions\n",
      "fizzlehelp\n",
      "lickerbond\n",
      "bunchmeats\n",
      "chiselleddessicants\n",
      "translatecyclist\n",
      "feverspolystyrene\n",
      "deficientclunking\n",
      "alloweruptions\n",
      "apronextension\n",
      "smackswallow\n",
      "ashamedmuscles\n",
      "parallelconcerned\n",
      "nursingrash\n",
      "pancakesgrebe\n",
      "frequencywould\n",
      "cuboidpass\n",
      "strungebay\n",
      "fattyoddball\n",
      "starbucksbluetail\n",
      "starbucksbluetail\n",
      "bracesworkable\n",
      "worldlyventuri\n",
      "pancakesgrebe\n",
      "heomicron\n",
      "latticelaboratory\n",
      "meggingswine\n",
      "latticelaboratory\n",
      "duexslt\n",
      "fizzclimbing\n",
      "feverspolystyrene\n",
      "behaviourverbena\n",
      "coatprecious\n",
      "instantthwack\n",
      "cobolglaucous\n",
      "dronessomersault\n",
      "decanterbalance\n",
      "organicmajor\n",
      "rappelarias\n",
      "pipetsrockers\n",
      "raggedshrink\n",
      "dweebspices\n",
      "fixnumquicklime\n",
      "ashamedmuscles\n",
      "surmiseteenagers\n",
      "europiumcentury\n",
      "clucklinnet\n",
      "actuallyfoot\n",
      "flinkjordan\n",
      "amuckpoints\n",
      "replacedbevy\n",
      "burntrifle\n",
      "poundingfrustum\n",
      "blythpulse\n",
      "crepegrape\n",
      "behaviourverbena\n",
      "unicyclistamiable\n",
      "tendonwench\n",
      "cartridgesbummage\n",
      "fizzlehelp\n",
      "poundingfrustum\n",
      "worldlyventuri\n",
      "musicalchampagne\n",
      "sociablelemma\n",
      "souffleutility\n",
      "shrillbanjos\n",
      "singesculptor\n",
      "guavaconfide\n",
      "binomialapathetic\n",
      "somethingalbedo\n",
      "clucklinnet\n",
      "looroasting\n",
      "alloweruptions\n",
      "grabbig\n",
      "stairsgobsmacked\n",
      "barnevidence\n",
      "microwavejar\n",
      "geologybeeping\n",
      "langeredsubset\n",
      "loindecorate\n",
      "heomicron\n",
      "sortinterior\n",
      "quadratcranky\n",
      "trapdoormongrel\n",
      "opticsdiameter\n",
      "casesslippery\n",
      "poundingfrustum\n",
      "tubingwheatear\n",
      "babyambitious\n",
      "replacedbevy\n",
      "burntrifle\n",
      "heaterinert\n",
      "stairsgobsmacked\n",
      "badgefields\n",
      "allocatesposts\n",
      "turnoverlovesick\n",
      "meatsoffbeat\n",
      "compareas\n",
      "dronessomersault\n",
      "cranniescigarette\n",
      "croutonwrack\n",
      "shrillbanjos\n",
      "snowdonevasive\n",
      "apronextension\n",
      "sectionssqueaky\n",
      "epsiloncloning\n",
      "rigelpaunchy\n",
      "actuallyfoot\n",
      "snowdonevasive\n",
      "burntrifle\n",
      "heaterinert\n",
      "babyambitious\n",
      "fizzclimbing\n",
      "latticelaboratory\n",
      "eminentallergy\n",
      "croutonwrack\n",
      "radicandoceanic\n",
      "troubledseptum\n",
      "popmatrices\n",
      "wisefumbling\n",
      "babyambitious\n",
      "wordsundress\n",
      "axlevirtue\n",
      "loindecorate\n",
      "langeredsubset\n",
      "emeraldclippers\n",
      "guavaconfide\n",
      "actuallyfoot\n",
      "heomicron\n",
      "ellipticalfabricator\n",
      "looroasting\n",
      "simplicityfairy\n",
      "xslhopeful\n",
      "bracesworkable\n",
      "globeshameful\n",
      "langeredsubset\n",
      "flakyunlawful\n",
      "quadratcranky\n",
      "europiumcentury\n",
      "raggedshrink\n",
      "gnarledbaggy\n",
      "metaiota\n",
      "hypergalaxyfibula\n",
      "croutonwrack\n",
      "badgefields\n",
      "flickcanapes\n",
      "eontop\n",
      "ischemicfrosted\n",
      "rigelpaunchy\n",
      "badgefields\n",
      "strungebay\n",
      "radicandoceanic\n",
      "binomialapathetic\n",
      "gammagot\n",
      "privacyhaunt\n",
      "grabbig\n",
      "dampedbrioche\n",
      "dampedbrioche\n",
      "pipetsrockers\n",
      "metaiota\n",
      "mtvgrosbeak\n",
      "simplicityfairy\n",
      "bismuthcolloquial\n",
      "dronessomersault\n",
      "analbar\n",
      "compareas\n",
      "pancakesgrebe\n",
      "radicandoceanic\n",
      "figsql\n",
      "nursingrash\n",
      "applyingbaker\n",
      "troubledseptum\n",
      "applyingbaker\n",
      "tendonwench\n",
      "mincegaiters\n",
      "duexslt\n",
      "unguardedgiant\n",
      "casesslippery\n",
      "lymphomamellow\n",
      "risottospell\n",
      "binomialapathetic\n",
      "binomialapathetic\n",
      "freelysociable\n",
      "looroasting\n",
      "coatprecious\n",
      "copalinstruct\n",
      "compareas\n",
      "earmarinated\n",
      "bunchmeats\n",
      "casesslippery\n",
      "evaporatingplug\n",
      "frequencywould\n",
      "compareas\n",
      "loindecorate\n",
      "popmatrices\n",
      "buoyancycowardice\n",
      "quadratcranky\n",
      "farrowcetti\n",
      "specifiedinnovative\n",
      "geologybeeping\n",
      "microwavejar\n",
      "geologybeeping\n",
      "gammagot\n",
      "rubbishbladder\n",
      "strungebay\n",
      "spiritedjump\n",
      "metaiota\n",
      "burntrifle\n",
      "twitequiver\n",
      "turnoverlovesick\n",
      "decanterbalance\n",
      "figsql\n",
      "bunchmeats\n",
      "specifiedinnovative\n",
      "compareas\n",
      "dotwazzack\n",
      "cleaningburnt\n",
      "dronessomersault\n",
      "evaporatingplug\n",
      "lickerbond\n",
      "worldlyventuri\n",
      "chiselleddessicants\n",
      "europiumcentury\n",
      "actuallyfoot\n",
      "tyrespan\n",
      "badgefields\n",
      "snaildossier\n",
      "chiselleddessicants\n",
      "handywrist\n",
      "alloweruptions\n",
      "ytterbiumprovincial\n",
      "impetuousfurbelows\n",
      "gilletteclammy\n",
      "fattyoddball\n",
      "ceilinjuries\n",
      "smackswallow\n",
      "dronessomersault\n",
      "strungebay\n",
      "neckedjre\n",
      "applyingbaker\n",
      "meatsoffbeat\n",
      "peacefulceaseless\n",
      "flakyunlawful\n",
      "rubbishbladder\n",
      "singesculptor\n",
      "unicyclistamiable\n",
      "freelysociable\n",
      "cuboidpass\n",
      "worldlyventuri\n",
      "surmiseteenagers\n",
      "unbalancedprotoplanet\n",
      "easybobolink\n",
      "gogglesknacker\n",
      "rubbishbladder\n",
      "radicandoceanic\n",
      "singesculptor\n",
      "unbalancedprotoplanet\n",
      "instantthwack\n",
      "flakyunlawful\n",
      "flakyunlawful\n",
      "stairsgobsmacked\n",
      "rigelpaunchy\n",
      "starbucksbluetail\n",
      "freelysociable\n",
      "binomialapathetic\n",
      "evaporatingplug\n",
      "hypergalaxyfibula\n",
      "smackswallow\n",
      "canalhateful\n",
      "copalinstruct\n",
      "farrowcetti\n",
      "europiumcentury\n",
      "peacefulceaseless\n",
      "analbar\n",
      "instantthwack\n",
      "micaassistant\n",
      "cranniescigarette\n",
      "applyingbaker\n",
      "nursingrash\n",
      "poohvireo\n",
      "starbucksbluetail\n",
      "alloweruptions\n",
      "hoursethanoate\n",
      "dronessomersault\n",
      "musicalchampagne\n",
      "cranniescigarette\n",
      "peacefulceaseless\n",
      "analbar\n",
      "decanterbalance\n",
      "sociablelemma\n",
      "meatsoffbeat\n",
      "moderatohorn\n",
      "microwavejar\n",
      "gogglesknacker\n",
      "tyrespan\n",
      "neckedjre\n",
      "sortinterior\n",
      "burritoscarriage\n",
      "organicmajor\n",
      "twitequiver\n",
      "wisefumbling\n",
      "dweebspices\n",
      "producecoven\n",
      "heomicron\n",
      "bluetailgodwottery\n",
      "opticsdiameter\n",
      "decanterbalance\n",
      "carrionscream\n",
      "gammagot\n",
      "rappelarias\n",
      "neighborlyrook\n",
      "quadratcranky\n",
      "listenerabandoned\n",
      "rigelpaunchy\n",
      "historypant\n",
      "gruntdrive\n",
      "latticelaboratory\n",
      "parallelconcerned\n",
      "figsql\n",
      "bonelliseal\n",
      "poundingfrustum\n",
      "wonderfulscullian\n",
      "completionskylark\n",
      "dotwazzack\n",
      "pipeathlete\n",
      "opticsdiameter\n",
      "showerspain\n",
      "applyingbaker\n",
      "trapdoormongrel\n",
      "lymphomamellow\n",
      "hoovessquares\n",
      "peacefulceaseless\n",
      "dweebspices\n",
      "driftmvc\n",
      "pipeathlete\n",
      "maintainwiggly\n",
      "worldlyventuri\n",
      "backedammeter\n",
      "organicmajor\n",
      "cartridgesbummage\n",
      "cleaningburnt\n",
      "rubbishbladder\n",
      "troubledseptum\n",
      "flinkjordan\n",
      "rigelpaunchy\n",
      "barnevidence\n",
      "hoursethanoate\n",
      "cranniescigarette\n",
      "mtvgrosbeak\n",
      "showerspain\n",
      "gilletteclammy\n",
      "tendonwench\n",
      "wonderfulscullian\n",
      "upbeatodd\n",
      "casesslippery\n",
      "bluetailgodwottery\n",
      "synonympatisserie\n",
      "freelysociable\n",
      "specifiedinnovative\n",
      "unicyclistamiable\n",
      "tweezerscurve\n",
      "upbeatodd\n",
      "babyambitious\n",
      "tweezerscurve\n",
      "applyingbaker\n",
      "crepegrape\n",
      "planktonuses\n",
      "gaudyfea\n",
      "europiumcentury\n",
      "earmarinated\n",
      "deficientclunking\n",
      "dialgraft\n",
      "specifiedinnovative\n",
      "frequencywould\n",
      "cleaningburnt\n",
      "crepegrape\n",
      "fixnumquicklime\n",
      "ashamedmuscles\n",
      "spiritedjump\n",
      "sectionssqueaky\n",
      "bunchmeats\n",
      "dialgraft\n",
      "realtorcaustic\n",
      "twitequiver\n",
      "globeshameful\n",
      "shrillbanjos\n",
      "unguardedgiant\n",
      "wordsundress\n",
      "pleasinghoop\n",
      "freelysociable\n",
      "showerspain\n",
      "disjointtoday\n",
      "epsiloncloning\n",
      "poundingfrustum\n",
      "gruntdrive\n",
      "casesslippery\n",
      "bashrower\n",
      "frequencywould\n",
      "specifiedinnovative\n",
      "bracesworkable\n",
      "impetuousfurbelows\n",
      "unbalancedprotoplanet\n",
      "lasttaiga\n",
      "lickerbond\n",
      "barnevidence\n",
      "peacefulceaseless\n",
      "wonderfulscullian\n",
      "chichazard\n",
      "burntrifle\n",
      "wisefumbling\n",
      "radicandoceanic\n",
      "gogglesknacker\n",
      "burritoscarriage\n",
      "fizzlehelp\n",
      "gruntdrive\n",
      "heaterinert\n",
      "gogglesknacker\n",
      "ellipticalfabricator\n",
      "listenerabandoned\n",
      "snowdonevasive\n",
      "cobolglaucous\n",
      "heaterinert\n",
      "parallelconcerned\n",
      "poundingfrustum\n",
      "ytterbiumprovincial\n",
      "burritoscarriage\n",
      "tyrespan\n",
      "apronextension\n",
      "disjointtoday\n",
      "trapdoormongrel\n",
      "showerspain\n",
      "craytugofwar\n",
      "shrillbanjos\n",
      "cheapersyllable\n",
      "compareas\n",
      "axlevirtue\n",
      "hoursethanoate\n",
      "submittedwavelength\n",
      "meatsoffbeat\n",
      "behaviourverbena\n",
      "barnevidence\n",
      "driftmvc\n",
      "sectionssqueaky\n",
      "parallelconcerned\n",
      "hypergalaxyfibula\n",
      "organicmajor\n",
      "looroasting\n",
      "expecteffective\n",
      "bismuthcolloquial\n",
      "ischemicfrosted\n",
      "actuallyfoot\n",
      "fizzclimbing\n",
      "emeraldclippers\n",
      "cheapersyllable\n",
      "behaveterminal\n",
      "barnevidence\n",
      "fattyoddball\n",
      "stunassured\n",
      "cuboidpass\n",
      "globeshameful\n",
      "risottospell\n",
      "epsiloncloning\n",
      "farrowcetti\n",
      "bonelliseal\n",
      "gogglesknacker\n",
      "planktonuses\n",
      "mtvgrosbeak\n",
      "shrillbanjos\n",
      "cranesurgeon\n",
      "cranniescigarette\n",
      "coatprecious\n",
      "lymphomamellow\n",
      "quadratcranky\n",
      "namibianstabbing\n",
      "synonympatisserie\n",
      "evaporatingplug\n",
      "fixnumquicklime\n",
      "burritoscarriage\n",
      "quadratcranky\n",
      "earmarinated\n",
      "flinkjordan\n",
      "colonclipper\n",
      "starbucksbluetail\n",
      "flinkjordan\n",
      "cowardlyabout\n",
      "craytugofwar\n",
      "bracesworkable\n",
      "bonelliseal\n",
      "gaudyfea\n",
      "rubbishbladder\n",
      "cartridgesbummage\n",
      "translatecyclist\n",
      "phobosstaccato\n",
      "impetuousfurbelows\n",
      "applyingbaker\n",
      "strungebay\n",
      "stunassured\n",
      "unicyclistamiable\n",
      "snowdonevasive\n",
      "apronextension\n",
      "troubledseptum\n",
      "cowardlyabout\n",
      "opticsdiameter\n",
      "pipetsrockers\n",
      "advisorlanguage\n",
      "copalinstruct\n",
      "wisefumbling\n",
      "compareas\n",
      "apronextension\n",
      "smackswallow\n",
      "fundingticket\n",
      "ischemicfrosted\n",
      "maintainwiggly\n",
      "bismuthcolloquial\n",
      "behaveterminal\n",
      "upbeatodd\n",
      "grabbig\n",
      "gravelscientific\n",
      "cowardlyabout\n",
      "sectionssqueaky\n",
      "gogglesknacker\n",
      "submittedwavelength\n",
      "gaudyfea\n",
      "submittedwavelength\n",
      "neckedjre\n",
      "handywrist\n",
      "tubingwheatear\n",
      "batchquickest\n",
      "hoursethanoate\n",
      "actuallyfoot\n",
      "expecteffective\n",
      "apronextension\n",
      "pipeathlete\n",
      "canalhateful\n",
      "burritoscarriage\n",
      "deficientclunking\n",
      "decanterbalance\n",
      "micaassistant\n",
      "sociablelemma\n",
      "backedammeter\n",
      "rappelarias\n",
      "instantthwack\n",
      "ceilinjuries\n",
      "flickcanapes\n",
      "synonympatisserie\n",
      "disjointtoday\n",
      "gravelscientific\n",
      "carrionscream\n",
      "handywrist\n",
      "pleasinghoop\n",
      "neighborlyrook\n",
      "translatecyclist\n",
      "fizzlehelp\n",
      "neckedjre\n",
      "strungebay\n",
      "sortinterior\n",
      "strungebay\n",
      "canalhateful\n",
      "upbeatodd\n",
      "meatsoffbeat\n",
      "wonderfulscullian\n",
      "heomicron\n",
      "bonelliseal\n",
      "hoursethanoate\n",
      "privacyhaunt\n",
      "troubledseptum\n",
      "bunchmeats\n",
      "langeredsubset\n",
      "strungebay\n",
      "peacefulceaseless\n",
      "trapdoormongrel\n",
      "starbucksbluetail\n",
      "binomialapathetic\n",
      "starbucksbluetail\n",
      "somethingalbedo\n",
      "showerspain\n",
      "pipetsrockers\n",
      "completionskylark\n",
      "gilletteclammy\n",
      "earmarinated\n",
      "ellipticalfabricator\n",
      "eminentallergy\n",
      "eminentallergy\n",
      "bunchmeats\n",
      "crepegrape\n",
      "guavaconfide\n",
      "fattyoddball\n",
      "ischemicfrosted\n",
      "lickerbond\n",
      "rubbishbladder\n",
      "worldlyventuri\n",
      "frequencywould\n",
      "canalhateful\n",
      "looroasting\n",
      "clucklinnet\n",
      "snaildossier\n",
      "cleaningburnt\n",
      "dampedbrioche\n",
      "sectionssqueaky\n",
      "wordsundress\n",
      "gilletteclammy\n",
      "risottospell\n",
      "heaterinert\n",
      "flickcanapes\n",
      "submittedwavelength\n",
      "babyambitious\n",
      "compareas\n",
      "parallelconcerned\n",
      "nursingrash\n",
      "surmiseteenagers\n",
      "pleasinghoop\n",
      "fizzlehelp\n",
      "risottospell\n",
      "ashamedmuscles\n",
      "axlevirtue\n",
      "paddlevacuole\n",
      "swankythough\n",
      "producecoven\n",
      "peacefulceaseless\n",
      "troubledseptum\n",
      "maintainwiggly\n",
      "producecoven\n",
      "popmatrices\n",
      "wonderfulscullian\n",
      "dialgraft\n",
      "rappelarias\n",
      "upbeatodd\n",
      "showerspain\n",
      "paddlevacuole\n",
      "poundingfrustum\n",
      "latticelaboratory\n",
      "hoovessquares\n",
      "heomicron\n",
      "lasttaiga\n",
      "pleasinghoop\n",
      "dotwazzack\n",
      "troubledseptum\n",
      "xslhopeful\n",
      "stylishmugs\n",
      "apronextension\n",
      "dronessomersault\n",
      "canalhateful\n",
      "nursingrash\n",
      "advisorlanguage\n",
      "neckedjre\n",
      "binomialapathetic\n",
      "mincegaiters\n",
      "translatecyclist\n",
      "canalhateful\n",
      "grabbig\n",
      "replacedbevy\n",
      "gaudyfea\n",
      "babyambitious\n",
      "mincegaiters\n",
      "specifiedinnovative\n",
      "meatsoffbeat\n",
      "bluetailgodwottery\n",
      "duexslt\n",
      "gogglesknacker\n",
      "hypergalaxyfibula\n",
      "producecoven\n",
      "dotwazzack\n",
      "historypant\n",
      "wisefumbling\n",
      "pleasinghoop\n",
      "listenerabandoned\n",
      "planktonuses\n",
      "dialgraft\n",
      "bashrower\n",
      "langeredsubset\n",
      "popmatrices\n",
      "metaiota\n",
      "dotwazzack\n",
      "wonderfulscullian\n",
      "synonympatisserie\n",
      "completionskylark\n",
      "flickcanapes\n",
      "apronextension\n",
      "blythpulse\n",
      "actuallyfoot\n",
      "frequencywould\n",
      "alloweruptions\n",
      "guavaconfide\n",
      "musicalchampagne\n",
      "rubbishbladder\n",
      "frequencywould\n",
      "neighborlyrook\n",
      "paddlevacuole\n",
      "globeshameful\n",
      "axlevirtue\n",
      "hoovessquares\n",
      "wonderfulscullian\n",
      "evaporatingplug\n",
      "fattyoddball\n",
      "canalhateful\n",
      "duexslt\n",
      "easybobolink\n",
      "gammagot\n",
      "neckedjre\n",
      "planktonuses\n",
      "expecteffective\n",
      "cobolglaucous\n",
      "micaassistant\n",
      "elatedunicorn\n",
      "bunchmeats\n",
      "specifiedinnovative\n",
      "micaassistant\n",
      "buoyancycowardice\n",
      "smackswallow\n",
      "tendonwench\n",
      "nursingrash\n",
      "poundingfrustum\n",
      "ashamedmuscles\n",
      "fixnumquicklime\n",
      "somethingalbedo\n",
      "bashrower\n",
      "apronextension\n",
      "flinkjordan\n",
      "wordsundress\n",
      "paddlevacuole\n",
      "figsql\n",
      "behaviourverbena\n",
      "axlevirtue\n",
      "axlevirtue\n",
      "worldlyventuri\n",
      "alloweruptions\n",
      "risottospell\n",
      "ischemicfrosted\n",
      "ellipticalfabricator\n",
      "dampedbrioche\n",
      "badgefields\n",
      "behaveterminal\n",
      "lasttaiga\n",
      "cowardlyabout\n",
      "quadratcranky\n",
      "expecteffective\n",
      "fixnumquicklime\n",
      "stunassured\n",
      "starbucksbluetail\n",
      "producecoven\n",
      "bunchmeats\n",
      "stairsgobsmacked\n",
      "cheapersyllable\n",
      "dweebspices\n",
      "musicalchampagne\n",
      "raggedshrink\n",
      "axlevirtue\n",
      "twitequiver\n",
      "canalhateful\n",
      "badgefields\n",
      "gaudyfea\n",
      "croutonwrack\n",
      "dronessomersault\n",
      "opticsdiameter\n",
      "ceilinjuries\n",
      "evaporatingplug\n",
      "disjointtoday\n",
      "ischemicfrosted\n",
      "craytugofwar\n",
      "pancakesgrebe\n",
      "handywrist\n",
      "microwavejar\n",
      "europiumcentury\n",
      "shrillbanjos\n",
      "completionskylark\n",
      "copalinstruct\n",
      "rubbishbladder\n",
      "cobolglaucous\n",
      "cuboidpass\n",
      "duexslt\n",
      "organicmajor\n",
      "hypergalaxyfibula\n",
      "hoursethanoate\n",
      "simplicityfairy\n",
      "privacyhaunt\n",
      "flickcanapes\n",
      "feverspolystyrene\n",
      "peacefulceaseless\n",
      "ellipticalfabricator\n",
      "globeshameful\n",
      "fundingticket\n",
      "gruntdrive\n",
      "meatsoffbeat\n",
      "meatsoffbeat\n",
      "wonderfulscullian\n",
      "sortinterior\n",
      "burntrifle\n",
      "hoursethanoate\n",
      "handywrist\n",
      "pancakesgrebe\n",
      "globeshameful\n",
      "flickcanapes\n",
      "guavaconfide\n",
      "dampedbrioche\n",
      "snaildossier\n",
      "eminentallergy\n",
      "rubbishbladder\n",
      "strungebay\n",
      "expecteffective\n",
      "chichazard\n",
      "belchedsodding\n",
      "gammagot\n",
      "stairsgobsmacked\n",
      "alloweruptions\n",
      "surmiseteenagers\n",
      "nursingrash\n",
      "looroasting\n",
      "metaiota\n",
      "belchedsodding\n",
      "nursingrash\n",
      "farrowcetti\n",
      "meggingswine\n",
      "shrillbanjos\n",
      "epsiloncloning\n",
      "snaildossier\n",
      "listenerabandoned\n",
      "lickerbond\n",
      "radicandoceanic\n",
      "bracesworkable\n",
      "behaviourverbena\n",
      "metaiota\n",
      "bonelliseal\n",
      "moderatohorn\n",
      "simplicityfairy\n",
      "raggedshrink\n",
      "copalinstruct\n",
      "poohvireo\n",
      "maintainwiggly\n",
      "compareas\n",
      "simplicityfairy\n",
      "ledgeindeed\n",
      "tyrespan\n",
      "worldlyventuri\n",
      "showerspain\n",
      "craytugofwar\n",
      "stunassured\n",
      "guavaconfide\n",
      "xslhopeful\n",
      "smackswallow\n",
      "mtvgrosbeak\n",
      "namibianstabbing\n",
      "burntrifle\n",
      "gogglesknacker\n",
      "freelysociable\n",
      "lickerbond\n",
      "ceilinjuries\n",
      "allegatorwafers\n",
      "raggedshrink\n",
      "popmatrices\n",
      "wordsundress\n",
      "smackswallow\n",
      "expecteffective\n",
      "unicyclistamiable\n",
      "frequencywould\n",
      "metaiota\n",
      "babyambitious\n",
      "wonderfulscullian\n",
      "amuckpoints\n",
      "tyrespan\n",
      "epsiloncloning\n",
      "strungebay\n",
      "driftmvc\n",
      "easybobolink\n",
      "metaiota\n",
      "advisorlanguage\n",
      "listenerabandoned\n",
      "historypant\n",
      "clucklinnet\n",
      "stunassured\n",
      "chichazard\n",
      "lasttaiga\n",
      "rappelarias\n",
      "planktonuses\n",
      "tendonwench\n",
      "earmarinated\n",
      "dampedbrioche\n",
      "moderatohorn\n",
      "namibianstabbing\n",
      "mtvgrosbeak\n",
      "parallelconcerned\n",
      "earmarinated\n",
      "namibianstabbing\n",
      "tendonwench\n",
      "fattyoddball\n",
      "smackswallow\n",
      "backedammeter\n",
      "shrillbanjos\n",
      "impetuousfurbelows\n",
      "dampedbrioche\n",
      "surmiseteenagers\n",
      "microwavejar\n",
      "frequencywould\n",
      "figsql\n",
      "surmiseteenagers\n",
      "pancakesgrebe\n",
      "mincegaiters\n",
      "pancakesgrebe\n",
      "epsiloncloning\n",
      "batchquickest\n",
      "metaiota\n",
      "coatprecious\n",
      "meatsoffbeat\n",
      "replacedbevy\n",
      "craytugofwar\n",
      "poohvireo\n",
      "crepegrape\n",
      "sortinterior\n",
      "unicyclistamiable\n",
      "heomicron\n",
      "tubingwheatear\n",
      "langeredsubset\n",
      "lasttaiga\n",
      "driftmvc\n",
      "moderatohorn\n",
      "backedammeter\n",
      "smackswallow\n",
      "submittedwavelength\n",
      "advisorlanguage\n",
      "handywrist\n",
      "neckedjre\n",
      "nursingrash\n",
      "unbalancedprotoplanet\n",
      "surmiseteenagers\n",
      "fattyoddball\n",
      "europiumcentury\n",
      "decanterbalance\n",
      "lickerbond\n",
      "raggedshrink\n",
      "horsesmultiply\n",
      "gilletteclammy\n",
      "turnoverlovesick\n",
      "latticelaboratory\n",
      "wisefumbling\n",
      "batchquickest\n",
      "xslhopeful\n",
      "namibianstabbing\n",
      "dronessomersault\n",
      "bluetailgodwottery\n",
      "applyingbaker\n",
      "loindecorate\n",
      "flinkjordan\n",
      "flinkjordan\n",
      "ceilinjuries\n",
      "clucklinnet\n",
      "gilletteclammy\n",
      "gogglesknacker\n",
      "belchedsodding\n",
      "sectionssqueaky\n",
      "flickcanapes\n",
      "strungebay\n",
      "namibianstabbing\n",
      "pancakesgrebe\n",
      "unguardedgiant\n",
      "turnoverlovesick\n",
      "bracesworkable\n",
      "unguardedgiant\n",
      "phobosstaccato\n",
      "flinkjordan\n",
      "wonderfulscullian\n",
      "singesculptor\n",
      "spiritedjump\n",
      "flickcanapes\n",
      "europiumcentury\n",
      "dronessomersault\n",
      "fixnumquicklime\n",
      "paddlevacuole\n",
      "showerspain\n",
      "wordsundress\n",
      "copalinstruct\n",
      "dweebspices\n",
      "strungebay\n",
      "ceilinjuries\n",
      "rappelarias\n",
      "completionskylark\n",
      "elatedunicorn\n",
      "organicmajor\n",
      "gruntdrive\n",
      "snowdonevasive\n",
      "worldlyventuri\n",
      "tubingwheatear\n",
      "actuallyfoot\n",
      "compareas\n",
      "actuallyfoot\n",
      "specifiedinnovative\n",
      "dweebspices\n",
      "peacefulceaseless\n",
      "gilletteclammy\n",
      "badgefields\n",
      "duexslt\n",
      "cranniescigarette\n",
      "epsiloncloning\n",
      "looroasting\n",
      "bunchmeats\n",
      "submittedwavelength\n",
      "horsesmultiply\n",
      "stairsgobsmacked\n",
      "feverspolystyrene\n",
      "pipetsrockers\n",
      "cowardlyabout\n",
      "historypant\n",
      "pipetsrockers\n",
      "colonclipper\n",
      "synonympatisserie\n",
      "casesslippery\n",
      "microwavejar\n",
      "instantthwack\n",
      "surmiseteenagers\n",
      "colonclipper\n",
      "fixnumquicklime\n",
      "stylishmugs\n",
      "allocatesposts\n",
      "copalinstruct\n",
      "troubledseptum\n",
      "flakyunlawful\n",
      "completionskylark\n",
      "unbalancedprotoplanet\n",
      "driftmvc\n",
      "fizzclimbing\n",
      "mtvgrosbeak\n",
      "emeraldclippers\n",
      "ellipticalfabricator\n",
      "upbeatodd\n",
      "cleaningburnt\n",
      "figsql\n",
      "allegatorwafers\n",
      "badgefields\n",
      "decanterbalance\n",
      "ytterbiumprovincial\n",
      "pancakesgrebe\n",
      "expecteffective\n",
      "sortinterior\n",
      "gilletteclammy\n",
      "replacedbevy\n",
      "deficientclunking\n",
      "loindecorate\n",
      "casesslippery\n",
      "canalhateful\n",
      "easybobolink\n",
      "loindecorate\n",
      "wisefumbling\n",
      "flinkjordan\n",
      "hoovessquares\n",
      "cheapersyllable\n",
      "frequencywould\n",
      "realtorcaustic\n",
      "belchedsodding\n",
      "compareas\n",
      "neighborlyrook\n",
      "dotwazzack\n",
      "singesculptor\n",
      "alloweruptions\n",
      "souffleutility\n",
      "singesculptor\n",
      "ischemicfrosted\n",
      "badgefields\n",
      "pancakesgrebe\n",
      "gruntdrive\n",
      "coatprecious\n",
      "maintainwiggly\n",
      "croutonwrack\n",
      "axlevirtue\n",
      "ytterbiumprovincial\n",
      "farrowcetti\n",
      "microwavejar\n",
      "hypergalaxyfibula\n",
      "backedammeter\n",
      "maintainwiggly\n",
      "expecteffective\n",
      "figsql\n",
      "producecoven\n",
      "feverspolystyrene\n",
      "meggingswine\n",
      "poundingfrustum\n",
      "dotwazzack\n",
      "cleaningburnt\n",
      "hoursethanoate\n",
      "wonderfulscullian\n",
      "looroasting\n",
      "unbalancedprotoplanet\n",
      "croutonwrack\n",
      "wonderfulscullian\n",
      "micaassistant\n",
      "opticsdiameter\n",
      "pipetsrockers\n",
      "canalhateful\n",
      "gruntdrive\n",
      "gravelscientific\n",
      "namibianstabbing\n",
      "planktonuses\n",
      "namibianstabbing\n",
      "figsql\n",
      "gravelscientific\n",
      "tubingwheatear\n",
      "burritoscarriage\n",
      "allegatorwafers\n",
      "showerspain\n",
      "dotwazzack\n",
      "twitequiver\n",
      "fattyoddball\n",
      "elatedunicorn\n",
      "globeshameful\n",
      "phobosstaccato\n",
      "poundingfrustum\n",
      "horsesmultiply\n",
      "gammagot\n",
      "tweezerscurve\n",
      "dotwazzack\n",
      "realtorcaustic\n",
      "ledgeindeed\n",
      "dialgraft\n",
      "snowdonevasive\n",
      "ashamedmuscles\n",
      "blythpulse\n",
      "somethingalbedo\n",
      "feverspolystyrene\n",
      "carrionscream\n",
      "copalinstruct\n",
      "bunchmeats\n",
      "paddlevacuole\n",
      "horsesmultiply\n",
      "rigelpaunchy\n",
      "tendonwench\n",
      "meggingswine\n",
      "wordsundress\n",
      "eminentallergy\n",
      "sectionssqueaky\n",
      "pipeathlete\n",
      "globeshameful\n",
      "mtvgrosbeak\n",
      "applyingbaker\n",
      "moderatohorn\n",
      "craytugofwar\n",
      "binomialapathetic\n",
      "decanterbalance\n",
      "translatecyclist\n",
      "maintainwiggly\n",
      "somethingalbedo\n",
      "expecteffective\n",
      "ceilinjuries\n",
      "deficientclunking\n",
      "chichazard\n",
      "shrillbanjos\n",
      "crepegrape\n",
      "xslhopeful\n",
      "strungebay\n",
      "turnoverlovesick\n",
      "chichazard\n",
      "dampedbrioche\n",
      "frequencywould\n",
      "rigelpaunchy\n",
      "unguardedgiant\n",
      "xslhopeful\n",
      "dronessomersault\n",
      "epsiloncloning\n",
      "europiumcentury\n",
      "planktonuses\n",
      "rappelarias\n",
      "musicalchampagne\n",
      "showerspain\n",
      "eminentallergy\n",
      "tubingwheatear\n",
      "neckedjre\n",
      "burritoscarriage\n",
      "globeshameful\n",
      "producecoven\n",
      "wordsundress\n",
      "rubbishbladder\n",
      "replacedbevy\n",
      "gaudyfea\n",
      "showerspain\n",
      "farrowcetti\n",
      "geologybeeping\n",
      "croutonwrack\n",
      "bismuthcolloquial\n",
      "unicyclistamiable\n",
      "allegatorwafers\n",
      "gilletteclammy\n",
      "frequencywould\n",
      "cleaningburnt\n",
      "planktonuses\n",
      "freelysociable\n",
      "feverspolystyrene\n",
      "historypant\n",
      "tubingwheatear\n",
      "specifiedinnovative\n",
      "cowardlyabout\n",
      "handywrist\n",
      "loindecorate\n",
      "phobosstaccato\n",
      "dronessomersault\n",
      "historypant\n",
      "gravelscientific\n",
      "burritoscarriage\n",
      "babyambitious\n",
      "eminentallergy\n",
      "cranniescigarette\n",
      "hypergalaxyfibula\n",
      "earmarinated\n",
      "paddlevacuole\n",
      "cranniescigarette\n",
      "freelysociable\n",
      "organicmajor\n",
      "translatecyclist\n",
      "ischemicfrosted\n",
      "rappelarias\n",
      "ytterbiumprovincial\n",
      "tweezerscurve\n",
      "globeshameful\n",
      "flinkjordan\n",
      "cuboidpass\n",
      "fizzlehelp\n",
      "fizzlehelp\n",
      "micaassistant\n",
      "heaterinert\n",
      "gilletteclammy\n",
      "badgefields\n",
      "disjointtoday\n",
      "planktonuses\n",
      "tubingwheatear\n",
      "apronextension\n",
      "ceilinjuries\n",
      "crepegrape\n",
      "spiritedjump\n",
      "cheapersyllable\n",
      "stylishmugs\n",
      "binomialapathetic\n",
      "dampedbrioche\n",
      "somethingalbedo\n",
      "unbalancedprotoplanet\n",
      "chichazard\n",
      "chiselleddessicants\n",
      "rigelpaunchy\n",
      "hypergalaxyfibula\n",
      "buoyancycowardice\n",
      "cobolglaucous\n",
      "pipeathlete\n",
      "handywrist\n",
      "emeraldclippers\n",
      "realtorcaustic\n",
      "amuckpoints\n",
      "applyingbaker\n",
      "mincegaiters\n",
      "carrionscream\n",
      "deficientclunking\n",
      "alloweruptions\n",
      "spiritedjump\n",
      "gilletteclammy\n",
      "rigelpaunchy\n",
      "completionskylark\n",
      "trapdoormongrel\n",
      "cranesurgeon\n",
      "cheapersyllable\n",
      "shrillbanjos\n",
      "microwavejar\n",
      "wisefumbling\n",
      "chiselleddessicants\n",
      "gilletteclammy\n",
      "poundingfrustum\n",
      "burritoscarriage\n",
      "fizzclimbing\n",
      "paddlevacuole\n",
      "radicandoceanic\n",
      "trapdoormongrel\n",
      "bunchmeats\n",
      "turnoverlovesick\n",
      "somethingalbedo\n",
      "translatecyclist\n",
      "ytterbiumprovincial\n",
      "micaassistant\n",
      "fizzclimbing\n",
      "somethingalbedo\n",
      "heomicron\n",
      "eminentallergy\n",
      "figsql\n",
      "turnoverlovesick\n",
      "guavaconfide\n",
      "pancakesgrebe\n",
      "popmatrices\n",
      "phobosstaccato\n",
      "snowdonevasive\n",
      "ceilinjuries\n",
      "langeredsubset\n",
      "heaterinert\n",
      "chichazard\n",
      "gilletteclammy\n",
      "organicmajor\n",
      "horsesmultiply\n",
      "easybobolink\n",
      "cheapersyllable\n",
      "starbucksbluetail\n",
      "cleaningburnt\n",
      "planktonuses\n",
      "analbar\n",
      "tyrespan\n",
      "canalhateful\n",
      "expecteffective\n",
      "grabbig\n",
      "lasttaiga\n",
      "disjointtoday\n",
      "lickerbond\n",
      "twitequiver\n",
      "unbalancedprotoplanet\n",
      "quadratcranky\n",
      "eminentallergy\n",
      "looroasting\n",
      "globeshameful\n",
      "horsesmultiply\n",
      "impetuousfurbelows\n",
      "cleaningburnt\n",
      "specifiedinnovative\n",
      "bunchmeats\n",
      "risottospell\n",
      "backedammeter\n",
      "cranniescigarette\n",
      "musicalchampagne\n",
      "specifiedinnovative\n",
      "heaterinert\n",
      "gravelscientific\n",
      "sortinterior\n",
      "somethingalbedo\n",
      "copalinstruct\n",
      "cranniescigarette\n",
      "somethingalbedo\n",
      "completionskylark\n",
      "agenascientists\n",
      "gammagot\n",
      "looroasting\n",
      "opticsdiameter\n",
      "deficientclunking\n",
      "craytugofwar\n",
      "sociablelemma\n",
      "handywrist\n",
      "coatprecious\n",
      "gaudyfea\n",
      "ischemicfrosted\n",
      "cobolglaucous\n",
      "ledgeindeed\n",
      "bismuthcolloquial\n",
      "unbalancedprotoplanet\n",
      "globeshameful\n",
      "feverspolystyrene\n",
      "unguardedgiant\n",
      "gammagot\n",
      "dampedbrioche\n",
      "chichazard\n",
      "strungebay\n",
      "eontop\n",
      "maintainwiggly\n",
      "loindecorate\n",
      "gaudyfea\n",
      "cobolglaucous\n",
      "listenerabandoned\n",
      "historypant\n",
      "flakyunlawful\n",
      "synonympatisserie\n",
      "dotwazzack\n",
      "listenerabandoned\n",
      "earmarinated\n",
      "advisorlanguage\n",
      "hoovessquares\n",
      "submittedwavelength\n",
      "rigelpaunchy\n",
      "bunchmeats\n",
      "nursingrash\n",
      "ischemicfrosted\n",
      "handywrist\n",
      "handywrist\n",
      "hypergalaxyfibula\n",
      "phobosstaccato\n",
      "peacefulceaseless\n",
      "driftmvc\n",
      "peacefulceaseless\n",
      "handywrist\n",
      "stairsgobsmacked\n",
      "barnevidence\n",
      "bonelliseal\n",
      "bluetailgodwottery\n",
      "cleaningburnt\n",
      "bismuthcolloquial\n",
      "lasttaiga\n",
      "fundingticket\n",
      "chiselleddessicants\n",
      "axlevirtue\n",
      "deficientclunking\n",
      "snowdonevasive\n",
      "surmiseteenagers\n",
      "cartridgesbummage\n",
      "apronextension\n",
      "eminentallergy\n",
      "spiritedjump\n",
      "cobolglaucous\n",
      "musicalchampagne\n",
      "tweezerscurve\n",
      "strungebay\n",
      "backedammeter\n",
      "snaildossier\n",
      "looroasting\n",
      "actuallyfoot\n",
      "croutonwrack\n",
      "quadratcranky\n",
      "bunchmeats\n",
      "dotwazzack\n",
      "behaviourverbena\n",
      "canalhateful\n",
      "metaiota\n",
      "upbeatodd\n",
      "feverspolystyrene\n",
      "chichazard\n",
      "blythpulse\n",
      "eontop\n",
      "meatsoffbeat\n",
      "ashamedmuscles\n",
      "impetuousfurbelows\n",
      "farrowcetti\n",
      "allocatesposts\n",
      "looroasting\n",
      "mtvgrosbeak\n",
      "geologybeeping\n",
      "starbucksbluetail\n",
      "organicmajor\n",
      "impetuousfurbelows\n",
      "binomialapathetic\n",
      "poohvireo\n",
      "freelysociable\n",
      "evaporatingplug\n",
      "impetuousfurbelows\n",
      "sociablelemma\n",
      "chichazard\n",
      "wonderfulscullian\n",
      "micaassistant\n",
      "axlevirtue\n",
      "microwavejar\n",
      "europiumcentury\n",
      "rubbishbladder\n",
      "analbar\n",
      "paddlevacuole\n",
      "duexslt\n",
      "trapdoormongrel\n",
      "spiritedjump\n",
      "actuallyfoot\n",
      "buoyancycowardice\n",
      "blythpulse\n",
      "gravelscientific\n",
      "shrillbanjos\n",
      "simplicityfairy\n",
      "strungebay\n",
      "cobolglaucous\n",
      "turnoverlovesick\n",
      "ledgeindeed\n",
      "cuboidpass\n",
      "axlevirtue\n",
      "stunassured\n",
      "duexslt\n",
      "actuallyfoot\n",
      "snowdonevasive\n",
      "gaudyfea\n",
      "expecteffective\n",
      "hypergalaxyfibula\n",
      "twitequiver\n",
      "paddlevacuole\n",
      "chiselleddessicants\n",
      "organicmajor\n",
      "surmiseteenagers\n",
      "mtvgrosbeak\n",
      "ischemicfrosted\n",
      "gnarledbaggy\n",
      "swankythough\n",
      "looroasting\n",
      "canalhateful\n",
      "lickerbond\n",
      "troubledseptum\n",
      "actuallyfoot\n",
      "flickcanapes\n",
      "cuboidpass\n",
      "apronextension\n",
      "blythpulse\n",
      "burritoscarriage\n",
      "unicyclistamiable\n",
      "epsiloncloning\n",
      "fixnumquicklime\n",
      "organicmajor\n",
      "badgefields\n",
      "dweebspices\n",
      "disjointtoday\n",
      "coatprecious\n",
      "ellipticalfabricator\n",
      "musicalchampagne\n",
      "producecoven\n",
      "stunassured\n",
      "buoyancycowardice\n",
      "wordsundress\n",
      "tweezerscurve\n",
      "bonelliseal\n",
      "mtvgrosbeak\n",
      "snowdonevasive\n",
      "gruntdrive\n",
      "opticsdiameter\n",
      "twitequiver\n",
      "replacedbevy\n",
      "impetuousfurbelows\n",
      "swankythough\n",
      "metaiota\n",
      "copalinstruct\n",
      "blythpulse\n",
      "realtorcaustic\n",
      "binomialapathetic\n",
      "xslhopeful\n",
      "ischemicfrosted\n",
      "bismuthcolloquial\n",
      "producecoven\n",
      "mincegaiters\n",
      "evaporatingplug\n",
      "sectionssqueaky\n",
      "evaporatingplug\n",
      "ytterbiumprovincial\n",
      "bunchmeats\n",
      "stunassured\n",
      "showerspain\n",
      "dotwazzack\n",
      "heomicron\n",
      "chichazard\n",
      "microwavejar\n",
      "turnoverlovesick\n",
      "completionskylark\n",
      "axlevirtue\n",
      "bluetailgodwottery\n",
      "ytterbiumprovincial\n",
      "spiritedjump\n",
      "crepegrape\n",
      "namibianstabbing\n",
      "apronextension\n",
      "sortinterior\n",
      "somethingalbedo\n",
      "souffleutility\n",
      "craytugofwar\n",
      "shrillbanjos\n",
      "ceilinjuries\n",
      "micaassistant\n",
      "pancakesgrebe\n",
      "microwavejar\n",
      "babyambitious\n",
      "backedammeter\n",
      "swankythough\n",
      "easybobolink\n",
      "gilletteclammy\n",
      "bluetailgodwottery\n",
      "bunchmeats\n",
      "gogglesknacker\n",
      "binomialapathetic\n",
      "disjointtoday\n",
      "dialgraft\n",
      "latticelaboratory\n",
      "ledgeindeed\n",
      "buoyancycowardice\n",
      "disjointtoday\n",
      "producecoven\n",
      "paddlevacuole\n",
      "pipetsrockers\n",
      "musicalchampagne\n",
      "wonderfulscullian\n",
      "hypergalaxyfibula\n",
      "starbucksbluetail\n",
      "gaudyfea\n",
      "ytterbiumprovincial\n",
      "carrionscream\n",
      "burritoscarriage\n",
      "showerspain\n",
      "gammagot\n",
      "dampedbrioche\n",
      "tendonwench\n",
      "swankythough\n",
      "listenerabandoned\n",
      "neckedjre\n",
      "burntrifle\n",
      "cowardlyabout\n",
      "horsesmultiply\n",
      "synonympatisserie\n",
      "fizzclimbing\n",
      "starbucksbluetail\n",
      "hypergalaxyfibula\n",
      "musicalchampagne\n",
      "gruntdrive\n",
      "behaviourverbena\n",
      "historypant\n",
      "rubbishbladder\n",
      "bluetailgodwottery\n",
      "shrillbanjos\n",
      "tendonwench\n",
      "namibianstabbing\n",
      "easybobolink\n",
      "ellipticalfabricator\n",
      "unguardedgiant\n",
      "unbalancedprotoplanet\n",
      "croutonwrack\n",
      "gnarledbaggy\n",
      "grabbig\n",
      "crepegrape\n",
      "singesculptor\n",
      "cuboidpass\n",
      "rigelpaunchy\n",
      "tubingwheatear\n",
      "latticelaboratory\n",
      "ceilinjuries\n",
      "deficientclunking\n",
      "quadratcranky\n",
      "pleasinghoop\n",
      "moderatohorn\n",
      "latticelaboratory\n",
      "spiritedjump\n",
      "spiritedjump\n",
      "farrowcetti\n",
      "historypant\n",
      "driftmvc\n",
      "smackswallow\n",
      "tyrespan\n",
      "farrowcetti\n",
      "figsql\n",
      "pancakesgrebe\n",
      "lymphomamellow\n",
      "submittedwavelength\n",
      "risottospell\n",
      "axlevirtue\n",
      "easybobolink\n",
      "badgefields\n",
      "gaudyfea\n",
      "sortinterior\n",
      "sectionssqueaky\n",
      "gilletteclammy\n",
      "analbar\n",
      "peacefulceaseless\n",
      "surmiseteenagers\n",
      "dronessomersault\n",
      "microwavejar\n",
      "paddlevacuole\n",
      "clucklinnet\n",
      "sortinterior\n",
      "amuckpoints\n",
      "stairsgobsmacked\n",
      "wordsundress\n",
      "burntrifle\n",
      "trapdoormongrel\n",
      "wordsundress\n",
      "neckedjre\n",
      "compareas\n",
      "ellipticalfabricator\n",
      "applyingbaker\n",
      "neckedjre\n",
      "cranesurgeon\n",
      "farrowcetti\n",
      "barnevidence\n",
      "surmiseteenagers\n",
      "figsql\n",
      "carrionscream\n",
      "bluetailgodwottery\n",
      "sectionssqueaky\n",
      "deficientclunking\n",
      "cobolglaucous\n",
      "simplicityfairy\n",
      "mincegaiters\n",
      "langeredsubset\n",
      "unicyclistamiable\n",
      "upbeatodd\n",
      "frequencywould\n",
      "poohvireo\n",
      "analbar\n",
      "peacefulceaseless\n",
      "disjointtoday\n",
      "coatprecious\n",
      "cranniescigarette\n",
      "applyingbaker\n",
      "ytterbiumprovincial\n",
      "advisorlanguage\n",
      "feverspolystyrene\n",
      "easybobolink\n",
      "dampedbrioche\n",
      "unicyclistamiable\n",
      "latticelaboratory\n",
      "wordsundress\n",
      "raggedshrink\n",
      "peacefulceaseless\n",
      "barnevidence\n",
      "planktonuses\n",
      "namibianstabbing\n",
      "looroasting\n",
      "bluetailgodwottery\n",
      "farrowcetti\n",
      "looroasting\n",
      "hoursethanoate\n",
      "pipeathlete\n",
      "unguardedgiant\n",
      "driftmvc\n",
      "driftmvc\n",
      "gravelscientific\n",
      "smackswallow\n",
      "flickcanapes\n",
      "looroasting\n",
      "tubingwheatear\n",
      "expecteffective\n",
      "neckedjre\n",
      "wordsundress\n",
      "unicyclistamiable\n",
      "driftmvc\n",
      "flickcanapes\n",
      "fattyoddball\n",
      "metaiota\n",
      "tyrespan\n",
      "replacedbevy\n",
      "gruntdrive\n",
      "singesculptor\n",
      "geologybeeping\n",
      "babyambitious\n",
      "driftmvc\n",
      "cartridgesbummage\n",
      "alloweruptions\n",
      "cowardlyabout\n",
      "neighborlyrook\n",
      "phobosstaccato\n",
      "ledgeindeed\n",
      "singesculptor\n",
      "belchedsodding\n",
      "stylishmugs\n",
      "gammagot\n",
      "alloweruptions\n",
      "souffleutility\n",
      "behaveterminal\n",
      "decanterbalance\n",
      "ytterbiumprovincial\n",
      "figsql\n",
      "hypergalaxyfibula\n",
      "globeshameful\n",
      "chiselleddessicants\n",
      "meatsoffbeat\n",
      "cowardlyabout\n",
      "microwavejar\n",
      "phobosstaccato\n",
      "compareas\n",
      "namibianstabbing\n",
      "ledgeindeed\n",
      "ischemicfrosted\n",
      "peacefulceaseless\n",
      "behaveterminal\n",
      "tendonwench\n",
      "europiumcentury\n",
      "ceilinjuries\n",
      "hoovessquares\n",
      "parallelconcerned\n",
      "smackswallow\n",
      "producecoven\n",
      "batchquickest\n",
      "rappelarias\n",
      "globeshameful\n",
      "starbucksbluetail\n",
      "applyingbaker\n",
      "lasttaiga\n",
      "sectionssqueaky\n",
      "flakyunlawful\n",
      "duexslt\n",
      "tweezerscurve\n",
      "dotwazzack\n",
      "cuboidpass\n",
      "rubbishbladder\n",
      "parallelconcerned\n",
      "globeshameful\n",
      "croutonwrack\n",
      "micaassistant\n",
      "carrionscream\n",
      "privacyhaunt\n",
      "alloweruptions\n",
      "babyambitious\n",
      "eminentallergy\n",
      "copalinstruct\n",
      "hoursethanoate\n",
      "chichazard\n",
      "applyingbaker\n",
      "analbar\n",
      "cranesurgeon\n",
      "gogglesknacker\n",
      "translatecyclist\n",
      "amuckpoints\n",
      "wisefumbling\n",
      "axlevirtue\n",
      "hoursethanoate\n",
      "moderatohorn\n",
      "swankythough\n",
      "cheapersyllable\n",
      "troubledseptum\n",
      "simplicityfairy\n",
      "risottospell\n",
      "swankythough\n",
      "meatsoffbeat\n",
      "duexslt\n",
      "wisefumbling\n",
      "freelysociable\n",
      "specifiedinnovative\n",
      "lickerbond\n",
      "flickcanapes\n",
      "flickcanapes\n",
      "applyingbaker\n",
      "completionskylark\n",
      "grabbig\n",
      "rigelpaunchy\n",
      "analbar\n",
      "strungebay\n",
      "alloweruptions\n",
      "musicalchampagne\n",
      "hoovessquares\n",
      "historypant\n",
      "showerspain\n",
      "hoursethanoate\n",
      "historypant\n",
      "latticelaboratory\n",
      "poundingfrustum\n",
      "specifiedinnovative\n",
      "dampedbrioche\n",
      "meatsoffbeat\n",
      "quadratcranky\n",
      "europiumcentury\n",
      "deficientclunking\n",
      "heaterinert\n",
      "alloweruptions\n",
      "swankythough\n",
      "globeshameful\n",
      "carrionscream\n",
      "bismuthcolloquial\n",
      "turnoverlovesick\n",
      "flinkjordan\n",
      "moderatohorn\n",
      "duexslt\n",
      "submittedwavelength\n",
      "gaudyfea\n",
      "dialgraft\n",
      "cleaningburnt\n",
      "amuckpoints\n",
      "stairsgobsmacked\n",
      "carrionscream\n",
      "submittedwavelength\n",
      "coatprecious\n",
      "globeshameful\n",
      "neckedjre\n",
      "quadratcranky\n",
      "rubbishbladder\n",
      "cartridgesbummage\n",
      "applyingbaker\n",
      "shrillbanjos\n",
      "flinkjordan\n",
      "casesslippery\n",
      "stairsgobsmacked\n",
      "earmarinated\n",
      "epsiloncloning\n",
      "frequencywould\n",
      "upbeatodd\n",
      "tubingwheatear\n",
      "fizzclimbing\n",
      "quadratcranky\n",
      "europiumcentury\n",
      "showerspain\n",
      "mincegaiters\n",
      "flinkjordan\n",
      "figsql\n",
      "somethingalbedo\n",
      "behaviourverbena\n",
      "blythpulse\n",
      "bonelliseal\n",
      "behaveterminal\n",
      "ytterbiumprovincial\n",
      "gogglesknacker\n",
      "synonympatisserie\n",
      "impetuousfurbelows\n",
      "buoyancycowardice\n",
      "tweezerscurve\n",
      "copalinstruct\n",
      "realtorcaustic\n",
      "stairsgobsmacked\n",
      "grabbig\n",
      "sociablelemma\n",
      "gilletteclammy\n",
      "ashamedmuscles\n",
      "sociablelemma\n",
      "spiritedjump\n",
      "upbeatodd\n",
      "impetuousfurbelows\n",
      "advisorlanguage\n",
      "stunassured\n",
      "rubbishbladder\n",
      "smackswallow\n",
      "dotwazzack\n",
      "risottospell\n",
      "dampedbrioche\n",
      "surmiseteenagers\n",
      "lasttaiga\n",
      "tweezerscurve\n",
      "freelysociable\n",
      "europiumcentury\n",
      "neighborlyrook\n",
      "eminentallergy\n",
      "souffleutility\n",
      "maintainwiggly\n",
      "meggingswine\n",
      "dotwazzack\n",
      "worldlyventuri\n",
      "bracesworkable\n",
      "analbar\n",
      "eontop\n",
      "looroasting\n",
      "replacedbevy\n",
      "dweebspices\n",
      "burritoscarriage\n",
      "gaudyfea\n",
      "alloweruptions\n",
      "evaporatingplug\n",
      "epsiloncloning\n",
      "gravelscientific\n",
      "strungebay\n",
      "poundingfrustum\n",
      "microwavejar\n",
      "snaildossier\n",
      "geologybeeping\n",
      "easybobolink\n",
      "tweezerscurve\n",
      "barnevidence\n",
      "ledgeindeed\n",
      "buoyancycowardice\n",
      "lickerbond\n",
      "langeredsubset\n",
      "flinkjordan\n",
      "crepegrape\n",
      "fattyoddball\n",
      "frequencywould\n",
      "privacyhaunt\n",
      "tweezerscurve\n",
      "flakyunlawful\n",
      "realtorcaustic\n",
      "parallelconcerned\n",
      "pipeathlete\n",
      "heomicron\n",
      "dronessomersault\n",
      "cuboidpass\n",
      "realtorcaustic\n",
      "dweebspices\n",
      "nursingrash\n",
      "realtorcaustic\n",
      "cranniescigarette\n",
      "flinkjordan\n",
      "nursingrash\n",
      "completionskylark\n",
      "impetuousfurbelows\n",
      "phobosstaccato\n",
      "epsiloncloning\n",
      "gogglesknacker\n",
      "badgefields\n",
      "dotwazzack\n",
      "lickerbond\n",
      "tweezerscurve\n",
      "canalhateful\n",
      "snaildossier\n",
      "worldlyventuri\n",
      "decanterbalance\n",
      "canalhateful\n",
      "somethingalbedo\n",
      "opticsdiameter\n",
      "dampedbrioche\n",
      "bluetailgodwottery\n",
      "handywrist\n",
      "poundingfrustum\n",
      "meggingswine\n",
      "gruntdrive\n",
      "flakyunlawful\n",
      "barnevidence\n",
      "feverspolystyrene\n",
      "burntrifle\n",
      "flakyunlawful\n",
      "grabbig\n",
      "completionskylark\n",
      "globeshameful\n",
      "epsiloncloning\n",
      "pipeathlete\n",
      "dialgraft\n",
      "rubbishbladder\n",
      "dronessomersault\n",
      "epsiloncloning\n",
      "gnarledbaggy\n",
      "europiumcentury\n",
      "bashrower\n",
      "feverspolystyrene\n",
      "tubingwheatear\n",
      "allegatorwafers\n",
      "poundingfrustum\n",
      "expecteffective\n",
      "backedammeter\n",
      "pancakesgrebe\n",
      "flickcanapes\n",
      "gaudyfea\n",
      "mincegaiters\n",
      "quadratcranky\n",
      "duexslt\n",
      "gogglesknacker\n",
      "snowdonevasive\n",
      "completionskylark\n",
      "ashamedmuscles\n",
      "stunassured\n",
      "feverspolystyrene\n",
      "ellipticalfabricator\n",
      "trapdoormongrel\n",
      "easybobolink\n",
      "rubbishbladder\n",
      "behaveterminal\n",
      "canalhateful\n",
      "dotwazzack\n",
      "dampedbrioche\n",
      "babyambitious\n",
      "snaildossier\n",
      "completionskylark\n",
      "ledgeindeed\n",
      "mincegaiters\n",
      "coatprecious\n",
      "pleasinghoop\n",
      "fundingticket\n",
      "behaviourverbena\n",
      "agenascientists\n",
      "fixnumquicklime\n",
      "burritoscarriage\n",
      "axlevirtue\n",
      "tweezerscurve\n",
      "eontop\n",
      "behaviourverbena\n",
      "compareas\n",
      "crepegrape\n",
      "strungebay\n",
      "cowardlyabout\n",
      "amuckpoints\n",
      "somethingalbedo\n",
      "dronessomersault\n",
      "decanterbalance\n",
      "stunassured\n",
      "pleasinghoop\n",
      "guavaconfide\n",
      "gammagot\n",
      "cobolglaucous\n",
      "belchedsodding\n",
      "handywrist\n",
      "casesslippery\n",
      "deficientclunking\n",
      "cowardlyabout\n",
      "privacyhaunt\n",
      "worldlyventuri\n",
      "historypant\n",
      "europiumcentury\n",
      "translatecyclist\n",
      "wisefumbling\n",
      "swankythough\n",
      "gilletteclammy\n",
      "dronessomersault\n",
      "planktonuses\n",
      "parallelconcerned\n",
      "planktonuses\n",
      "farrowcetti\n",
      "behaviourverbena\n",
      "ischemicfrosted\n",
      "realtorcaustic\n",
      "fundingticket\n",
      "figsql\n",
      "badgefields\n",
      "geologybeeping\n",
      "sociablelemma\n",
      "behaviourverbena\n",
      "mincegaiters\n",
      "handywrist\n",
      "applyingbaker\n",
      "completionskylark\n",
      "actuallyfoot\n",
      "spiritedjump\n",
      "fattyoddball\n",
      "micaassistant\n",
      "ceilinjuries\n",
      "stairsgobsmacked\n",
      "globeshameful\n",
      "wordsundress\n",
      "belchedsodding\n",
      "grabbig\n",
      "micaassistant\n",
      "batchquickest\n",
      "bunchmeats\n",
      "langeredsubset\n",
      "fizzlehelp\n",
      "alloweruptions\n",
      "gnarledbaggy\n",
      "grabbig\n",
      "advisorlanguage\n",
      "guavaconfide\n",
      "gammagot\n",
      "heaterinert\n",
      "gnarledbaggy\n",
      "buoyancycowardice\n",
      "bashrower\n",
      "moderatohorn\n",
      "langeredsubset\n",
      "stylishmugs\n",
      "fundingticket\n",
      "ellipticalfabricator\n",
      "showerspain\n",
      "emeraldclippers\n",
      "cartridgesbummage\n",
      "ceilinjuries\n",
      "mtvgrosbeak\n",
      "compareas\n",
      "canalhateful\n",
      "belchedsodding\n",
      "namibianstabbing\n",
      "carrionscream\n",
      "dotwazzack\n",
      "earmarinated\n",
      "singesculptor\n",
      "analbar\n",
      "apronextension\n",
      "gnarledbaggy\n",
      "unbalancedprotoplanet\n",
      "worldlyventuri\n",
      "cartridgesbummage\n",
      "globeshameful\n",
      "earmarinated\n",
      "grabbig\n",
      "blythpulse\n",
      "eminentallergy\n",
      "driftmvc\n",
      "shrillbanjos\n",
      "horsesmultiply\n",
      "eontop\n",
      "cartridgesbummage\n",
      "crepegrape\n",
      "raggedshrink\n",
      "instantthwack\n",
      "clucklinnet\n",
      "bunchmeats\n",
      "namibianstabbing\n",
      "poundingfrustum\n",
      "latticelaboratory\n",
      "lymphomamellow\n",
      "blythpulse\n",
      "ashamedmuscles\n",
      "backedammeter\n",
      "impetuousfurbelows\n",
      "gogglesknacker\n",
      "ceilinjuries\n",
      "ledgeindeed\n",
      "somethingalbedo\n",
      "carrionscream\n",
      "unbalancedprotoplanet\n",
      "gnarledbaggy\n",
      "gammagot\n",
      "gravelscientific\n",
      "epsiloncloning\n",
      "nursingrash\n",
      "backedammeter\n",
      "ceilinjuries\n",
      "looroasting\n",
      "epsiloncloning\n",
      "applyingbaker\n",
      "bashrower\n",
      "translatecyclist\n",
      "copalinstruct\n",
      "dialgraft\n",
      "dialgraft\n",
      "bismuthcolloquial\n",
      "sectionssqueaky\n",
      "fixnumquicklime\n",
      "swankythough\n",
      "cranniescigarette\n",
      "cheapersyllable\n",
      "cranniescigarette\n",
      "troubledseptum\n",
      "easybobolink\n",
      "backedammeter\n",
      "unicyclistamiable\n",
      "dialgraft\n",
      "namibianstabbing\n",
      "nursingrash\n",
      "alloweruptions\n",
      "emeraldclippers\n",
      "feverspolystyrene\n",
      "easybobolink\n",
      "somethingalbedo\n",
      "raggedshrink\n",
      "twitequiver\n",
      "carrionscream\n",
      "barnevidence\n",
      "compareas\n",
      "impetuousfurbelows\n",
      "tendonwench\n",
      "evaporatingplug\n",
      "barnevidence\n",
      "flickcanapes\n",
      "planktonuses\n",
      "handywrist\n",
      "hypergalaxyfibula\n",
      "decanterbalance\n",
      "behaveterminal\n",
      "snowdonevasive\n",
      "pipetsrockers\n",
      "decanterbalance\n",
      "tweezerscurve\n",
      "decanterbalance\n",
      "rappelarias\n",
      "ceilinjuries\n",
      "hoursethanoate\n",
      "radicandoceanic\n",
      "gravelscientific\n",
      "replacedbevy\n",
      "stairsgobsmacked\n",
      "behaveterminal\n",
      "fattyoddball\n",
      "snowdonevasive\n",
      "chichazard\n",
      "ellipticalfabricator\n",
      "freelysociable\n",
      "cranesurgeon\n",
      "neighborlyrook\n",
      "europiumcentury\n",
      "fizzclimbing\n",
      "babyambitious\n",
      "simplicityfairy\n",
      "unbalancedprotoplanet\n",
      "simplicityfairy\n",
      "compareas\n",
      "grabbig\n",
      "impetuousfurbelows\n",
      "xslhopeful\n",
      "swankythough\n",
      "maintainwiggly\n",
      "carrionscream\n",
      "axlevirtue\n",
      "hypergalaxyfibula\n",
      "instantthwack\n",
      "souffleutility\n",
      "worldlyventuri\n",
      "replacedbevy\n",
      "meatsoffbeat\n",
      "gruntdrive\n",
      "driftmvc\n",
      "upbeatodd\n",
      "xslhopeful\n",
      "ledgeindeed\n",
      "casesslippery\n",
      "canalhateful\n",
      "cartridgesbummage\n",
      "easybobolink\n",
      "lymphomamellow\n",
      "crepegrape\n",
      "barnevidence\n",
      "sortinterior\n",
      "lymphomamellow\n",
      "disjointtoday\n",
      "driftmvc\n",
      "realtorcaustic\n",
      "ledgeindeed\n",
      "deficientclunking\n",
      "starbucksbluetail\n",
      "elatedunicorn\n",
      "fundingticket\n",
      "geologybeeping\n",
      "flinkjordan\n",
      "earmarinated\n",
      "ischemicfrosted\n",
      "risottospell\n",
      "coatprecious\n",
      "wonderfulscullian\n",
      "gnarledbaggy\n",
      "amuckpoints\n",
      "axlevirtue\n",
      "cranesurgeon\n",
      "bluetailgodwottery\n",
      "sectionssqueaky\n",
      "surmiseteenagers\n",
      "upbeatodd\n",
      "singesculptor\n",
      "backedammeter\n",
      "ceilinjuries\n",
      "belchedsodding\n",
      "gilletteclammy\n",
      "shrillbanjos\n",
      "figsql\n",
      "cranesurgeon\n",
      "figsql\n",
      "latticelaboratory\n",
      "carrionscream\n",
      "neighborlyrook\n",
      "loindecorate\n",
      "dotwazzack\n",
      "turnoverlovesick\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "farrowcetti\n",
      "looroasting\n",
      "flickcanapes\n",
      "behaviourverbena\n",
      "hoursethanoate\n",
      "lasttaiga\n",
      "buoyancycowardice\n",
      "fizzclimbing\n",
      "applyingbaker\n",
      "driftmvc\n",
      "elatedunicorn\n",
      "geologybeeping\n",
      "peacefulceaseless\n",
      "xslhopeful\n",
      "ledgeindeed\n",
      "pipeathlete\n",
      "barnevidence\n",
      "cranesurgeon\n",
      "historypant\n",
      "organicmajor\n",
      "compareas\n",
      "allegatorwafers\n",
      "paddlevacuole\n",
      "shrillbanjos\n",
      "peacefulceaseless\n",
      "wordsundress\n",
      "shrillbanjos\n",
      "cheapersyllable\n",
      "apronextension\n",
      "lymphomamellow\n",
      "grabbig\n",
      "burritoscarriage\n",
      "privacyhaunt\n",
      "loindecorate\n",
      "stunassured\n",
      "spiritedjump\n",
      "rigelpaunchy\n",
      "lickerbond\n",
      "snowdonevasive\n",
      "starbucksbluetail\n",
      "globeshameful\n",
      "flickcanapes\n",
      "heomicron\n",
      "canalhateful\n",
      "cleaningburnt\n",
      "lasttaiga\n",
      "lasttaiga\n",
      "instantthwack\n",
      "upbeatodd\n",
      "evaporatingplug\n",
      "gaudyfea\n",
      "loindecorate\n",
      "casesslippery\n",
      "unbalancedprotoplanet\n",
      "organicmajor\n",
      "batchquickest\n",
      "backedammeter\n",
      "nursingrash\n",
      "parallelconcerned\n",
      "rappelarias\n",
      "fizzclimbing\n",
      "lickerbond\n",
      "ceilinjuries\n",
      "looroasting\n",
      "belchedsodding\n",
      "babyambitious\n",
      "smackswallow\n",
      "flakyunlawful\n",
      "specifiedinnovative\n",
      "fattyoddball\n",
      "coatprecious\n",
      "somethingalbedo\n",
      "bismuthcolloquial\n",
      "souffleutility\n",
      "cranniescigarette\n",
      "deficientclunking\n",
      "cobolglaucous\n",
      "gravelscientific\n",
      "planktonuses\n",
      "deficientclunking\n",
      "guavaconfide\n",
      "cheapersyllable\n",
      "neighborlyrook\n",
      "sectionssqueaky\n",
      "unicyclistamiable\n",
      "stunassured\n",
      "somethingalbedo\n",
      "spiritedjump\n",
      "driftmvc\n",
      "bismuthcolloquial\n",
      "stylishmugs\n",
      "belchedsodding\n",
      "dialgraft\n",
      "poundingfrustum\n",
      "colonclipper\n",
      "clucklinnet\n",
      "belchedsodding\n",
      "globeshameful\n",
      "privacyhaunt\n",
      "neighborlyrook\n",
      "actuallyfoot\n",
      "wisefumbling\n",
      "ischemicfrosted\n",
      "mtvgrosbeak\n",
      "popmatrices\n",
      "starbucksbluetail\n",
      "loindecorate\n",
      "risottospell\n",
      "tubingwheatear\n",
      "compareas\n",
      "clucklinnet\n",
      "duexslt\n",
      "neckedjre\n",
      "evaporatingplug\n",
      "musicalchampagne\n",
      "cranesurgeon\n",
      "lasttaiga\n",
      "bismuthcolloquial\n",
      "evaporatingplug\n",
      "pancakesgrebe\n",
      "buoyancycowardice\n",
      "fundingticket\n",
      "duexslt\n",
      "decanterbalance\n",
      "stunassured\n",
      "translatecyclist\n",
      "burritoscarriage\n",
      "fizzclimbing\n",
      "bonelliseal\n",
      "loindecorate\n",
      "easybobolink\n",
      "translatecyclist\n",
      "starbucksbluetail\n",
      "smackswallow\n",
      "belchedsodding\n",
      "behaveterminal\n",
      "batchquickest\n",
      "showerspain\n",
      "unguardedgiant\n",
      "radicandoceanic\n",
      "epsiloncloning\n",
      "agenascientists\n",
      "farrowcetti\n",
      "gilletteclammy\n",
      "dronessomersault\n",
      "wisefumbling\n",
      "starbucksbluetail\n",
      "hoovessquares\n",
      "flakyunlawful\n",
      "hoovessquares\n",
      "wisefumbling\n",
      "blythpulse\n",
      "compareas\n",
      "babyambitious\n",
      "stunassured\n",
      "tubingwheatear\n",
      "pleasinghoop\n",
      "shrillbanjos\n",
      "twitequiver\n",
      "ceilinjuries\n",
      "strungebay\n",
      "alloweruptions\n",
      "meatsoffbeat\n",
      "emeraldclippers\n",
      "backedammeter\n",
      "ledgeindeed\n",
      "ellipticalfabricator\n",
      "latticelaboratory\n",
      "showerspain\n",
      "epsiloncloning\n",
      "swankythough\n",
      "blythpulse\n",
      "burntrifle\n",
      "unicyclistamiable\n",
      "belchedsodding\n",
      "micaassistant\n",
      "flinkjordan\n",
      "badgefields\n",
      "clucklinnet\n",
      "upbeatodd\n",
      "planktonuses\n",
      "allocatesposts\n",
      "upbeatodd\n",
      "bunchmeats\n",
      "snowdonevasive\n",
      "namibianstabbing\n",
      "trapdoormongrel\n",
      "gravelscientific\n",
      "latticelaboratory\n",
      "worldlyventuri\n",
      "instantthwack\n",
      "casesslippery\n",
      "handywrist\n",
      "producecoven\n",
      "clucklinnet\n",
      "duexslt\n",
      "farrowcetti\n",
      "globeshameful\n",
      "disjointtoday\n",
      "applyingbaker\n",
      "babyambitious\n",
      "badgefields\n",
      "horsesmultiply\n",
      "peacefulceaseless\n",
      "mtvgrosbeak\n",
      "strungebay\n",
      "burntrifle\n",
      "dampedbrioche\n",
      "privacyhaunt\n",
      "gammagot\n",
      "swankythough\n",
      "mincegaiters\n",
      "ellipticalfabricator\n",
      "cuboidpass\n",
      "cranniescigarette\n",
      "flinkjordan\n",
      "popmatrices\n",
      "neighborlyrook\n",
      "heaterinert\n",
      "europiumcentury\n",
      "cobolglaucous\n",
      "behaveterminal\n",
      "instantthwack\n",
      "flakyunlawful\n",
      "dronessomersault\n",
      "poundingfrustum\n",
      "somethingalbedo\n",
      "heaterinert\n",
      "maintainwiggly\n",
      "pleasinghoop\n",
      "ischemicfrosted\n",
      "freelysociable\n",
      "pipeathlete\n",
      "dweebspices\n",
      "meatsoffbeat\n",
      "twitequiver\n",
      "unicyclistamiable\n",
      "allegatorwafers\n",
      "xslhopeful\n",
      "heaterinert\n",
      "peacefulceaseless\n",
      "worldlyventuri\n",
      "nursingrash\n",
      "stairsgobsmacked\n",
      "stylishmugs\n",
      "hoovessquares\n",
      "copalinstruct\n",
      "feverspolystyrene\n",
      "analbar\n",
      "stunassured\n",
      "blythpulse\n",
      "ledgeindeed\n",
      "epsiloncloning\n",
      "advisorlanguage\n",
      "neighborlyrook\n",
      "stylishmugs\n",
      "instantthwack\n",
      "peacefulceaseless\n",
      "driftmvc\n",
      "cheapersyllable\n",
      "lymphomamellow\n",
      "cuboidpass\n",
      "burntrifle\n",
      "tyrespan\n",
      "axlevirtue\n",
      "coatprecious\n",
      "eminentallergy\n",
      "coatprecious\n",
      "meatsoffbeat\n",
      "lickerbond\n",
      "looroasting\n",
      "feverspolystyrene\n",
      "completionskylark\n",
      "hoovessquares\n",
      "wisefumbling\n",
      "starbucksbluetail\n",
      "opticsdiameter\n",
      "loindecorate\n",
      "moderatohorn\n",
      "lymphomamellow\n",
      "fizzclimbing\n",
      "sectionssqueaky\n",
      "cowardlyabout\n",
      "loindecorate\n",
      "snowdonevasive\n",
      "rappelarias\n",
      "privacyhaunt\n",
      "ellipticalfabricator\n",
      "snaildossier\n",
      "driftmvc\n",
      "crepegrape\n",
      "easybobolink\n",
      "planktonuses\n",
      "peacefulceaseless\n",
      "clucklinnet\n",
      "belchedsodding\n",
      "producecoven\n",
      "loindecorate\n",
      "buoyancycowardice\n",
      "poohvireo\n",
      "actuallyfoot\n",
      "allocatesposts\n",
      "producecoven\n",
      "canalhateful\n",
      "poundingfrustum\n",
      "applyingbaker\n",
      "stylishmugs\n",
      "hoovessquares\n",
      "buoyancycowardice\n",
      "wordsundress\n",
      "bluetailgodwottery\n",
      "evaporatingplug\n",
      "cleaningburnt\n",
      "pancakesgrebe\n",
      "flickcanapes\n",
      "actuallyfoot\n",
      "emeraldclippers\n",
      "ytterbiumprovincial\n",
      "showerspain\n",
      "wonderfulscullian\n",
      "cobolglaucous\n",
      "cuboidpass\n",
      "fizzclimbing\n",
      "actuallyfoot\n",
      "spiritedjump\n",
      "gnarledbaggy\n",
      "poundingfrustum\n",
      "bracesworkable\n",
      "instantthwack\n",
      "colonclipper\n",
      "frequencywould\n",
      "carrionscream\n",
      "ashamedmuscles\n",
      "hoursethanoate\n",
      "copalinstruct\n",
      "dronessomersault\n",
      "frequencywould\n",
      "fizzclimbing\n",
      "starbucksbluetail\n",
      "duexslt\n",
      "worldlyventuri\n",
      "mincegaiters\n",
      "dialgraft\n",
      "behaveterminal\n",
      "metaiota\n",
      "tyrespan\n",
      "meggingswine\n",
      "meggingswine\n",
      "dialgraft\n",
      "grabbig\n",
      "singesculptor\n",
      "gravelscientific\n",
      "expecteffective\n",
      "looroasting\n",
      "europiumcentury\n",
      "radicandoceanic\n",
      "simplicityfairy\n",
      "ellipticalfabricator\n",
      "heomicron\n",
      "radicandoceanic\n",
      "cobolglaucous\n",
      "driftmvc\n",
      "musicalchampagne\n",
      "loindecorate\n",
      "clucklinnet\n",
      "hoovessquares\n",
      "eminentallergy\n",
      "snowdonevasive\n",
      "popmatrices\n",
      "bismuthcolloquial\n",
      "poohvireo\n",
      "amuckpoints\n",
      "rappelarias\n",
      "agenascientists\n",
      "worldlyventuri\n",
      "singesculptor\n",
      "burntrifle\n",
      "heomicron\n",
      "elatedunicorn\n",
      "ashamedmuscles\n",
      "synonympatisserie\n",
      "fixnumquicklime\n",
      "poohvireo\n",
      "europiumcentury\n",
      "nursingrash\n",
      "epsiloncloning\n",
      "xslhopeful\n",
      "craytugofwar\n",
      "gravelscientific\n",
      "poundingfrustum\n",
      "dronessomersault\n",
      "backedammeter\n",
      "musicalchampagne\n",
      "carrionscream\n",
      "specifiedinnovative\n",
      "evaporatingplug\n",
      "emeraldclippers\n",
      "canalhateful\n",
      "specifiedinnovative\n",
      "twitequiver\n",
      "hoursethanoate\n",
      "replacedbevy\n",
      "crepegrape\n",
      "gogglesknacker\n",
      "badgefields\n",
      "raggedshrink\n",
      "dotwazzack\n",
      "bluetailgodwottery\n",
      "flakyunlawful\n",
      "guavaconfide\n",
      "buoyancycowardice\n",
      "gilletteclammy\n",
      "rubbishbladder\n",
      "wisefumbling\n",
      "coatprecious\n",
      "mtvgrosbeak\n",
      "geologybeeping\n",
      "grabbig\n",
      "heomicron\n",
      "flinkjordan\n",
      "fixnumquicklime\n",
      "wonderfulscullian\n",
      "snaildossier\n",
      "globeshameful\n",
      "snaildossier\n",
      "spiritedjump\n",
      "globeshameful\n",
      "wordsundress\n",
      "chichazard\n",
      "completionskylark\n",
      "strungebay\n",
      "bracesworkable\n",
      "rigelpaunchy\n",
      "listenerabandoned\n",
      "dronessomersault\n",
      "fizzlehelp\n",
      "swankythough\n",
      "bismuthcolloquial\n",
      "cranesurgeon\n",
      "ellipticalfabricator\n",
      "cleaningburnt\n",
      "unicyclistamiable\n",
      "batchquickest\n",
      "dampedbrioche\n",
      "producecoven\n",
      "bracesworkable\n",
      "cartridgesbummage\n",
      "strungebay\n",
      "compareas\n",
      "blythpulse\n",
      "shrillbanjos\n",
      "disjointtoday\n",
      "popmatrices\n",
      "geologybeeping\n",
      "upbeatodd\n",
      "poohvireo\n",
      "lickerbond\n",
      "trapdoormongrel\n",
      "gaudyfea\n",
      "horsesmultiply\n",
      "bonelliseal\n",
      "dweebspices\n",
      "cranniescigarette\n",
      "behaveterminal\n",
      "deficientclunking\n",
      "freelysociable\n",
      "disjointtoday\n",
      "troubledseptum\n",
      "cobolglaucous\n",
      "rubbishbladder\n",
      "loindecorate\n",
      "crepegrape\n",
      "parallelconcerned\n",
      "quadratcranky\n",
      "mincegaiters\n",
      "historypant\n",
      "blythpulse\n",
      "binomialapathetic\n",
      "quadratcranky\n",
      "gruntdrive\n",
      "worldlyventuri\n",
      "cleaningburnt\n",
      "pleasinghoop\n",
      "ytterbiumprovincial\n",
      "maintainwiggly\n",
      "duexslt\n",
      "ischemicfrosted\n",
      "chichazard\n",
      "barnevidence\n",
      "burntrifle\n",
      "guavaconfide\n",
      "amuckpoints\n",
      "heaterinert\n",
      "amuckpoints\n",
      "rubbishbladder\n",
      "clucklinnet\n",
      "radicandoceanic\n",
      "crepegrape\n",
      "gnarledbaggy\n",
      "metaiota\n",
      "tyrespan\n",
      "handywrist\n",
      "dweebspices\n",
      "ischemicfrosted\n",
      "pleasinghoop\n",
      "handywrist\n",
      "smackswallow\n",
      "unguardedgiant\n",
      "burritoscarriage\n",
      "synonympatisserie\n",
      "belchedsodding\n",
      "copalinstruct\n",
      "radicandoceanic\n",
      "cranniescigarette\n",
      "europiumcentury\n",
      "chiselleddessicants\n",
      "privacyhaunt\n",
      "deficientclunking\n",
      "privacyhaunt\n",
      "opticsdiameter\n",
      "croutonwrack\n",
      "metaiota\n",
      "heomicron\n",
      "gaudyfea\n",
      "fixnumquicklime\n",
      "crepegrape\n",
      "langeredsubset\n",
      "showerspain\n",
      "gruntdrive\n",
      "tubingwheatear\n",
      "pancakesgrebe\n",
      "unguardedgiant\n",
      "tubingwheatear\n",
      "souffleutility\n",
      "paddlevacuole\n",
      "apronextension\n",
      "neighborlyrook\n",
      "surmiseteenagers\n",
      "behaviourverbena\n",
      "musicalchampagne\n",
      "wordsundress\n",
      "worldlyventuri\n",
      "instantthwack\n",
      "bunchmeats\n",
      "gaudyfea\n",
      "allocatesposts\n",
      "surmiseteenagers\n",
      "analbar\n",
      "popmatrices\n",
      "canalhateful\n",
      "maintainwiggly\n",
      "cranesurgeon\n",
      "freelysociable\n",
      "pancakesgrebe\n",
      "agenascientists\n",
      "allocatesposts\n",
      "feverspolystyrene\n",
      "poundingfrustum\n",
      "chiselleddessicants\n",
      "flinkjordan\n",
      "babyambitious\n",
      "farrowcetti\n",
      "ischemicfrosted\n",
      "turnoverlovesick\n",
      "deficientclunking\n",
      "burritoscarriage\n",
      "risottospell\n",
      "grabbig\n",
      "eminentallergy\n",
      "metaiota\n",
      "croutonwrack\n",
      "quadratcranky\n",
      "looroasting\n",
      "crepegrape\n",
      "neighborlyrook\n",
      "stunassured\n",
      "frequencywould\n",
      "impetuousfurbelows\n",
      "parallelconcerned\n",
      "compareas\n",
      "allocatesposts\n",
      "cowardlyabout\n",
      "easybobolink\n",
      "behaveterminal\n",
      "peacefulceaseless\n",
      "ischemicfrosted\n",
      "compareas\n",
      "flakyunlawful\n",
      "twitequiver\n",
      "cowardlyabout\n",
      "listenerabandoned\n",
      "langeredsubset\n",
      "poohvireo\n",
      "belchedsodding\n",
      "handywrist\n",
      "geologybeeping\n",
      "bashrower\n",
      "flickcanapes\n",
      "realtorcaustic\n",
      "emeraldclippers\n",
      "handywrist\n",
      "sortinterior\n",
      "guavaconfide\n",
      "rappelarias\n",
      "worldlyventuri\n",
      "duexslt\n",
      "popmatrices\n",
      "expecteffective\n",
      "ashamedmuscles\n",
      "deficientclunking\n",
      "latticelaboratory\n",
      "chichazard\n",
      "gilletteclammy\n",
      "evaporatingplug\n",
      "singesculptor\n",
      "evaporatingplug\n",
      "binomialapathetic\n",
      "copalinstruct\n",
      "musicalchampagne\n",
      "radicandoceanic\n",
      "flakyunlawful\n",
      "raggedshrink\n",
      "burritoscarriage\n",
      "behaveterminal\n",
      "trapdoormongrel\n",
      "popmatrices\n",
      "emeraldclippers\n",
      "dweebspices\n",
      "lickerbond\n",
      "ashamedmuscles\n",
      "planktonuses\n",
      "opticsdiameter\n",
      "risottospell\n",
      "pancakesgrebe\n",
      "historypant\n",
      "bonelliseal\n",
      "fizzlehelp\n",
      "singesculptor\n",
      "elatedunicorn\n",
      "loindecorate\n",
      "heaterinert\n",
      "stairsgobsmacked\n",
      "loindecorate\n",
      "submittedwavelength\n",
      "easybobolink\n",
      "fizzlehelp\n",
      "horsesmultiply\n",
      "dialgraft\n",
      "frequencywould\n",
      "meggingswine\n",
      "cobolglaucous\n",
      "feverspolystyrene\n",
      "badgefields\n",
      "cobolglaucous\n",
      "evaporatingplug\n",
      "neckedjre\n",
      "poohvireo\n",
      "gravelscientific\n",
      "ellipticalfabricator\n",
      "buoyancycowardice\n",
      "troubledseptum\n",
      "craytugofwar\n",
      "mincegaiters\n",
      "chiselleddessicants\n",
      "cartridgesbummage\n",
      "microwavejar\n",
      "smackswallow\n",
      "earmarinated\n",
      "driftmvc\n",
      "rappelarias\n",
      "pleasinghoop\n",
      "smackswallow\n",
      "strungebay\n",
      "bonelliseal\n",
      "freelysociable\n",
      "fattyoddball\n",
      "lickerbond\n",
      "elatedunicorn\n",
      "privacyhaunt\n",
      "cartridgesbummage\n",
      "duexslt\n",
      "rigelpaunchy\n",
      "bonelliseal\n",
      "submittedwavelength\n",
      "ellipticalfabricator\n",
      "pleasinghoop\n",
      "tyrespan\n",
      "casesslippery\n",
      "unguardedgiant\n",
      "burntrifle\n",
      "spiritedjump\n",
      "opticsdiameter\n",
      "fundingticket\n",
      "wordsundress\n",
      "completionskylark\n",
      "replacedbevy\n",
      "privacyhaunt\n",
      "risottospell\n",
      "rigelpaunchy\n",
      "sectionssqueaky\n",
      "frequencywould\n",
      "batchquickest\n",
      "phobosstaccato\n",
      "tendonwench\n",
      "colonclipper\n",
      "showerspain\n",
      "tweezerscurve\n",
      "freelysociable\n",
      "synonympatisserie\n",
      "binomialapathetic\n",
      "moderatohorn\n",
      "blythpulse\n",
      "amuckpoints\n",
      "disjointtoday\n",
      "behaveterminal\n",
      "metaiota\n",
      "ashamedmuscles\n",
      "meatsoffbeat\n",
      "mtvgrosbeak\n",
      "deficientclunking\n",
      "cranniescigarette\n",
      "elatedunicorn\n",
      "frequencywould\n",
      "peacefulceaseless\n",
      "wordsundress\n",
      "agenascientists\n",
      "heaterinert\n",
      "tweezerscurve\n",
      "coatprecious\n",
      "grabbig\n",
      "analbar\n",
      "specifiedinnovative\n",
      "chichazard\n",
      "showerspain\n",
      "globeshameful\n",
      "blythpulse\n",
      "popmatrices\n",
      "carrionscream\n",
      "belchedsodding\n",
      "completionskylark\n",
      "copalinstruct\n",
      "loindecorate\n",
      "fattyoddball\n",
      "ashamedmuscles\n",
      "fundingticket\n",
      "risottospell\n",
      "apronextension\n",
      "flakyunlawful\n",
      "mincegaiters\n",
      "parallelconcerned\n",
      "batchquickest\n",
      "ashamedmuscles\n",
      "blythpulse\n",
      "poohvireo\n",
      "metaiota\n",
      "nursingrash\n",
      "sectionssqueaky\n",
      "radicandoceanic\n",
      "langeredsubset\n",
      "rappelarias\n",
      "coatprecious\n",
      "unicyclistamiable\n",
      "smackswallow\n",
      "dweebspices\n",
      "clucklinnet\n",
      "meggingswine\n",
      "unguardedgiant\n",
      "peacefulceaseless\n",
      "starbucksbluetail\n",
      "eontop\n",
      "risottospell\n",
      "tubingwheatear\n",
      "deficientclunking\n",
      "opticsdiameter\n",
      "buoyancycowardice\n",
      "replacedbevy\n",
      "wordsundress\n",
      "loindecorate\n",
      "cheapersyllable\n",
      "poohvireo\n",
      "simplicityfairy\n",
      "flickcanapes\n",
      "organicmajor\n",
      "raggedshrink\n",
      "behaveterminal\n",
      "bismuthcolloquial\n",
      "bonelliseal\n",
      "bracesworkable\n",
      "sociablelemma\n",
      "compareas\n",
      "fizzclimbing\n",
      "quadratcranky\n",
      "bunchmeats\n",
      "loindecorate\n",
      "quadratcranky\n",
      "analbar\n",
      "realtorcaustic\n",
      "tyrespan\n",
      "nursingrash\n",
      "smackswallow\n",
      "popmatrices\n",
      "cuboidpass\n",
      "completionskylark\n",
      "starbucksbluetail\n",
      "listenerabandoned\n",
      "clucklinnet\n",
      "snaildossier\n",
      "evaporatingplug\n",
      "carrionscream\n",
      "behaviourverbena\n",
      "buoyancycowardice\n",
      "raggedshrink\n",
      "advisorlanguage\n",
      "bashrower\n",
      "gruntdrive\n",
      "flinkjordan\n",
      "pipetsrockers\n",
      "actuallyfoot\n",
      "musicalchampagne\n",
      "meatsoffbeat\n",
      "replacedbevy\n",
      "microwavejar\n",
      "geologybeeping\n",
      "ytterbiumprovincial\n",
      "hoursethanoate\n",
      "opticsdiameter\n",
      "actuallyfoot\n",
      "amuckpoints\n",
      "lickerbond\n",
      "flinkjordan\n",
      "freelysociable\n",
      "nursingrash\n",
      "bracesworkable\n",
      "hoursethanoate\n",
      "paddlevacuole\n",
      "unbalancedprotoplanet\n",
      "chichazard\n",
      "upbeatodd\n",
      "cleaningburnt\n",
      "dampedbrioche\n",
      "lasttaiga\n",
      "flakyunlawful\n",
      "casesslippery\n",
      "elatedunicorn\n",
      "producecoven\n",
      "loindecorate\n",
      "advisorlanguage\n",
      "moderatohorn\n",
      "decanterbalance\n",
      "translatecyclist\n",
      "raggedshrink\n",
      "eontop\n",
      "ytterbiumprovincial\n",
      "phobosstaccato\n",
      "stairsgobsmacked\n",
      "alloweruptions\n",
      "dweebspices\n",
      "emeraldclippers\n",
      "mtvgrosbeak\n",
      "lasttaiga\n",
      "emeraldclippers\n",
      "compareas\n",
      "pleasinghoop\n",
      "wonderfulscullian\n",
      "europiumcentury\n",
      "allegatorwafers\n",
      "ytterbiumprovincial\n",
      "namibianstabbing\n",
      "colonclipper\n",
      "chichazard\n",
      "neighborlyrook\n",
      "radicandoceanic\n",
      "cartridgesbummage\n",
      "popmatrices\n",
      "rigelpaunchy\n",
      "binomialapathetic\n",
      "gruntdrive\n",
      "hoovessquares\n",
      "emeraldclippers\n",
      "risottospell\n",
      "twitequiver\n",
      "sectionssqueaky\n",
      "starbucksbluetail\n",
      "pipetsrockers\n",
      "croutonwrack\n",
      "flickcanapes\n",
      "showerspain\n",
      "cheapersyllable\n",
      "rubbishbladder\n",
      "latticelaboratory\n",
      "ischemicfrosted\n",
      "looroasting\n",
      "neckedjre\n",
      "parallelconcerned\n",
      "neckedjre\n",
      "upbeatodd\n",
      "copalinstruct\n",
      "looroasting\n",
      "hoovessquares\n",
      "dronessomersault\n",
      "spiritedjump\n",
      "translatecyclist\n",
      "dweebspices\n",
      "barnevidence\n",
      "shrillbanjos\n",
      "geologybeeping\n",
      "behaveterminal\n",
      "driftmvc\n",
      "lymphomamellow\n",
      "easybobolink\n",
      "ashamedmuscles\n",
      "guavaconfide\n",
      "chiselleddessicants\n",
      "tendonwench\n",
      "showerspain\n",
      "binomialapathetic\n",
      "rigelpaunchy\n",
      "mincegaiters\n",
      "cranniescigarette\n",
      "gogglesknacker\n",
      "trapdoormongrel\n",
      "dotwazzack\n",
      "tubingwheatear\n",
      "compareas\n",
      "dotwazzack\n",
      "gravelscientific\n",
      "ytterbiumprovincial\n",
      "opticsdiameter\n",
      "fixnumquicklime\n",
      "amuckpoints\n",
      "ischemicfrosted\n",
      "cleaningburnt\n",
      "hypergalaxyfibula\n",
      "starbucksbluetail\n",
      "risottospell\n",
      "pleasinghoop\n",
      "meatsoffbeat\n",
      "lymphomamellow\n",
      "surmiseteenagers\n",
      "stylishmugs\n",
      "radicandoceanic\n",
      "privacyhaunt\n",
      "dweebspices\n",
      "sectionssqueaky\n",
      "pipeathlete\n",
      "shrillbanjos\n",
      "metaiota\n",
      "advisorlanguage\n",
      "synonympatisserie\n",
      "sortinterior\n",
      "mincegaiters\n",
      "lickerbond\n",
      "ashamedmuscles\n",
      "cobolglaucous\n",
      "submittedwavelength\n",
      "pancakesgrebe\n",
      "langeredsubset\n",
      "lickerbond\n",
      "advisorlanguage\n",
      "compareas\n",
      "chichazard\n",
      "expecteffective\n",
      "loindecorate\n",
      "allegatorwafers\n",
      "sortinterior\n",
      "microwavejar\n",
      "earmarinated\n",
      "gnarledbaggy\n",
      "binomialapathetic\n",
      "ischemicfrosted\n",
      "hoursethanoate\n",
      "bismuthcolloquial\n",
      "cobolglaucous\n",
      "flakyunlawful\n",
      "singesculptor\n",
      "looroasting\n",
      "upbeatodd\n",
      "historypant\n",
      "easybobolink\n",
      "allegatorwafers\n",
      "listenerabandoned\n",
      "heaterinert\n",
      "buoyancycowardice\n",
      "horsesmultiply\n",
      "buoyancycowardice\n",
      "cowardlyabout\n",
      "mincegaiters\n",
      "cheapersyllable\n",
      "neighborlyrook\n",
      "craytugofwar\n",
      "completionskylark\n",
      "canalhateful\n",
      "casesslippery\n",
      "epsiloncloning\n",
      "dampedbrioche\n",
      "snowdonevasive\n",
      "burntrifle\n",
      "ashamedmuscles\n",
      "craytugofwar\n",
      "tyrespan\n",
      "eontop\n",
      "organicmajor\n",
      "ceilinjuries\n",
      "expecteffective\n",
      "trapdoormongrel\n",
      "surmiseteenagers\n",
      "behaveterminal\n",
      "bluetailgodwottery\n",
      "craytugofwar\n",
      "historypant\n",
      "spiritedjump\n",
      "coatprecious\n",
      "neighborlyrook\n",
      "opticsdiameter\n",
      "backedammeter\n",
      "elatedunicorn\n",
      "rubbishbladder\n",
      "rigelpaunchy\n",
      "feverspolystyrene\n",
      "somethingalbedo\n",
      "apronextension\n",
      "hypergalaxyfibula\n",
      "actuallyfoot\n",
      "buoyancycowardice\n",
      "deficientclunking\n",
      "coatprecious\n",
      "dampedbrioche\n",
      "troubledseptum\n",
      "shrillbanjos\n",
      "mtvgrosbeak\n",
      "batchquickest\n",
      "agenascientists\n",
      "simplicityfairy\n",
      "paddlevacuole\n",
      "snowdonevasive\n",
      "metaiota\n",
      "heomicron\n",
      "babyambitious\n",
      "feverspolystyrene\n",
      "gaudyfea\n",
      "fundingticket\n",
      "heomicron\n",
      "sociablelemma\n",
      "meatsoffbeat\n",
      "wonderfulscullian\n",
      "rigelpaunchy\n",
      "horsesmultiply\n",
      "blythpulse\n",
      "poundingfrustum\n",
      "dialgraft\n",
      "behaveterminal\n",
      "worldlyventuri\n",
      "xslhopeful\n",
      "backedammeter\n",
      "actuallyfoot\n",
      "cranniescigarette\n",
      "lasttaiga\n",
      "craytugofwar\n",
      "tubingwheatear\n",
      "allegatorwafers\n",
      "craytugofwar\n",
      "looroasting\n",
      "grabbig\n",
      "expecteffective\n",
      "singesculptor\n",
      "bismuthcolloquial\n",
      "fattyoddball\n",
      "upbeatodd\n",
      "burntrifle\n",
      "namibianstabbing\n",
      "flinkjordan\n",
      "behaveterminal\n",
      "eminentallergy\n",
      "babyambitious\n",
      "batchquickest\n",
      "craytugofwar\n",
      "bashrower\n",
      "croutonwrack\n",
      "fizzclimbing\n",
      "duexslt\n",
      "tubingwheatear\n",
      "hoursethanoate\n",
      "behaveterminal\n",
      "lasttaiga\n",
      "ledgeindeed\n",
      "canalhateful\n",
      "submittedwavelength\n",
      "horsesmultiply\n",
      "hoovessquares\n",
      "burritoscarriage\n",
      "privacyhaunt\n",
      "meggingswine\n",
      "axlevirtue\n",
      "organicmajor\n",
      "unguardedgiant\n",
      "wonderfulscullian\n",
      "coatprecious\n",
      "bracesworkable\n",
      "elatedunicorn\n",
      "micaassistant\n",
      "bunchmeats\n",
      "lymphomamellow\n",
      "lymphomamellow\n",
      "rubbishbladder\n",
      "privacyhaunt\n",
      "singesculptor\n",
      "completionskylark\n",
      "pipeathlete\n",
      "disjointtoday\n",
      "meatsoffbeat\n",
      "dronessomersault\n",
      "raggedshrink\n",
      "risottospell\n",
      "fundingticket\n",
      "deficientclunking\n",
      "sortinterior\n",
      "flickcanapes\n",
      "bunchmeats\n",
      "grabbig\n",
      "dronessomersault\n",
      "rappelarias\n",
      "evaporatingplug\n",
      "instantthwack\n",
      "cheapersyllable\n",
      "burntrifle\n",
      "bunchmeats\n",
      "poohvireo\n",
      "raggedshrink\n",
      "trapdoormongrel\n",
      "poohvireo\n",
      "ashamedmuscles\n",
      "croutonwrack\n",
      "unicyclistamiable\n",
      "shrillbanjos\n",
      "guavaconfide\n",
      "dotwazzack\n",
      "impetuousfurbelows\n",
      "ledgeindeed\n",
      "looroasting\n",
      "cartridgesbummage\n",
      "cheapersyllable\n",
      "allocatesposts\n",
      "gravelscientific\n",
      "fizzlehelp\n",
      "pipetsrockers\n",
      "metaiota\n",
      "producecoven\n",
      "namibianstabbing\n",
      "trapdoormongrel\n",
      "somethingalbedo\n",
      "coatprecious\n",
      "replacedbevy\n",
      "rigelpaunchy\n",
      "dronessomersault\n",
      "shrillbanjos\n",
      "lickerbond\n",
      "pipetsrockers\n",
      "easybobolink\n",
      "maintainwiggly\n",
      "planktonuses\n",
      "maintainwiggly\n",
      "gogglesknacker\n",
      "parallelconcerned\n",
      "risottospell\n",
      "figsql\n",
      "unguardedgiant\n",
      "casesslippery\n",
      "starbucksbluetail\n",
      "sectionssqueaky\n",
      "flickcanapes\n",
      "crepegrape\n",
      "musicalchampagne\n",
      "fizzlehelp\n",
      "submittedwavelength\n",
      "sortinterior\n",
      "burntrifle\n",
      "agenascientists\n",
      "dampedbrioche\n",
      "heomicron\n",
      "hoovessquares\n",
      "fattyoddball\n",
      "heaterinert\n",
      "tubingwheatear\n",
      "gruntdrive\n",
      "rappelarias\n",
      "expecteffective\n",
      "freelysociable\n",
      "burntrifle\n",
      "gnarledbaggy\n",
      "axlevirtue\n",
      "allegatorwafers\n",
      "analbar\n",
      "figsql\n",
      "belchedsodding\n",
      "micaassistant\n",
      "cranniescigarette\n",
      "listenerabandoned\n",
      "allegatorwafers\n",
      "feverspolystyrene\n",
      "worldlyventuri\n",
      "elatedunicorn\n",
      "feverspolystyrene\n",
      "heomicron\n",
      "specifiedinnovative\n",
      "pipeathlete\n",
      "neckedjre\n",
      "farrowcetti\n",
      "alloweruptions\n",
      "stylishmugs\n",
      "snaildossier\n",
      "fundingticket\n",
      "compareas\n",
      "showerspain\n",
      "rubbishbladder\n",
      "europiumcentury\n",
      "burritoscarriage\n",
      "allocatesposts\n",
      "flickcanapes\n",
      "colonclipper\n",
      "ceilinjuries\n",
      "clucklinnet\n",
      "namibianstabbing\n",
      "ceilinjuries\n",
      "maintainwiggly\n",
      "upbeatodd\n",
      "organicmajor\n",
      "backedammeter\n",
      "langeredsubset\n",
      "amuckpoints\n",
      "geologybeeping\n",
      "craytugofwar\n",
      "trapdoormongrel\n",
      "microwavejar\n",
      "pipeathlete\n",
      "batchquickest\n",
      "unicyclistamiable\n",
      "meggingswine\n",
      "wisefumbling\n",
      "earmarinated\n",
      "gogglesknacker\n",
      "cranesurgeon\n",
      "belchedsodding\n",
      "farrowcetti\n",
      "farrowcetti\n",
      "gammagot\n",
      "neighborlyrook\n",
      "ceilinjuries\n",
      "historypant\n",
      "rubbishbladder\n",
      "quadratcranky\n",
      "bismuthcolloquial\n",
      "tyrespan\n",
      "bashrower\n",
      "globeshameful\n",
      "batchquickest\n",
      "tweezerscurve\n",
      "eontop\n",
      "decanterbalance\n",
      "somethingalbedo\n",
      "cobolglaucous\n",
      "dialgraft\n",
      "submittedwavelength\n",
      "dweebspices\n",
      "agenascientists\n",
      "completionskylark\n",
      "emeraldclippers\n",
      "easybobolink\n",
      "bismuthcolloquial\n",
      "moderatohorn\n",
      "bashrower\n",
      "heomicron\n",
      "farrowcetti\n",
      "starbucksbluetail\n",
      "dweebspices\n",
      "gogglesknacker\n",
      "spiritedjump\n",
      "bashrower\n",
      "cranniescigarette\n",
      "applyingbaker\n",
      "farrowcetti\n",
      "rigelpaunchy\n",
      "ceilinjuries\n",
      "unicyclistamiable\n",
      "moderatohorn\n",
      "horsesmultiply\n",
      "hoursethanoate\n",
      "agenascientists\n",
      "fizzclimbing\n",
      "producecoven\n",
      "heaterinert\n",
      "metaiota\n",
      "realtorcaustic\n",
      "allocatesposts\n",
      "listenerabandoned\n",
      "mtvgrosbeak\n",
      "geologybeeping\n",
      "guavaconfide\n",
      "troubledseptum\n",
      "bluetailgodwottery\n",
      "unbalancedprotoplanet\n",
      "moderatohorn\n",
      "agenascientists\n",
      "translatecyclist\n",
      "translatecyclist\n",
      "cleaningburnt\n",
      "troubledseptum\n",
      "handywrist\n",
      "wisefumbling\n",
      "flickcanapes\n",
      "evaporatingplug\n",
      "stunassured\n",
      "historypant\n",
      "microwavejar\n",
      "tubingwheatear\n",
      "allocatesposts\n",
      "raggedshrink\n",
      "croutonwrack\n",
      "cobolglaucous\n",
      "impetuousfurbelows\n",
      "carrionscream\n",
      "tyrespan\n",
      "xslhopeful\n",
      "figsql\n",
      "farrowcetti\n",
      "wisefumbling\n",
      "surmiseteenagers\n",
      "sortinterior\n",
      "colonclipper\n",
      "amuckpoints\n",
      "showerspain\n",
      "simplicityfairy\n",
      "singesculptor\n",
      "opticsdiameter\n",
      "neckedjre\n",
      "gruntdrive\n",
      "latticelaboratory\n",
      "meatsoffbeat\n",
      "canalhateful\n",
      "deficientclunking\n",
      "trapdoormongrel\n",
      "agenascientists\n",
      "binomialapathetic\n",
      "gogglesknacker\n",
      "flinkjordan\n",
      "disjointtoday\n",
      "risottospell\n",
      "ytterbiumprovincial\n",
      "lymphomamellow\n",
      "tyrespan\n",
      "micaassistant\n",
      "coatprecious\n",
      "grabbig\n",
      "opticsdiameter\n",
      "bluetailgodwottery\n",
      "colonclipper\n",
      "translatecyclist\n",
      "bashrower\n",
      "cobolglaucous\n",
      "analbar\n",
      "cartridgesbummage\n",
      "poundingfrustum\n",
      "starbucksbluetail\n",
      "gruntdrive\n",
      "simplicityfairy\n",
      "frequencywould\n",
      "cobolglaucous\n",
      "badgefields\n",
      "parallelconcerned\n",
      "burritoscarriage\n",
      "nursingrash\n",
      "fattyoddball\n",
      "producecoven\n",
      "craytugofwar\n",
      "dialgraft\n",
      "dotwazzack\n",
      "compareas\n",
      "microwavejar\n",
      "planktonuses\n",
      "turnoverlovesick\n",
      "loindecorate\n",
      "realtorcaustic\n",
      "heomicron\n",
      "heaterinert\n",
      "completionskylark\n",
      "cheapersyllable\n",
      "amuckpoints\n",
      "earmarinated\n",
      "radicandoceanic\n",
      "clucklinnet\n",
      "cranniescigarette\n",
      "pancakesgrebe\n",
      "singesculptor\n",
      "casesslippery\n",
      "cranesurgeon\n",
      "latticelaboratory\n",
      "unicyclistamiable\n",
      "specifiedinnovative\n",
      "mincegaiters\n",
      "neighborlyrook\n",
      "burritoscarriage\n",
      "instantthwack\n",
      "ceilinjuries\n",
      "disjointtoday\n",
      "fizzclimbing\n",
      "epsiloncloning\n",
      "pipeathlete\n",
      "farrowcetti\n",
      "farrowcetti\n",
      "dotwazzack\n",
      "applyingbaker\n",
      "starbucksbluetail\n",
      "spiritedjump\n",
      "eontop\n",
      "starbucksbluetail\n",
      "sortinterior\n",
      "meggingswine\n",
      "surmiseteenagers\n",
      "badgefields\n",
      "wisefumbling\n",
      "ischemicfrosted\n",
      "elatedunicorn\n",
      "troubledseptum\n",
      "tendonwench\n",
      "freelysociable\n",
      "cuboidpass\n",
      "completionskylark\n",
      "clucklinnet\n",
      "barnevidence\n",
      "agenascientists\n",
      "casesslippery\n",
      "spiritedjump\n",
      "unbalancedprotoplanet\n",
      "flickcanapes\n",
      "earmarinated\n",
      "belchedsodding\n",
      "pipetsrockers\n",
      "unguardedgiant\n",
      "europiumcentury\n",
      "applyingbaker\n",
      "elatedunicorn\n",
      "batchquickest\n",
      "fizzclimbing\n",
      "croutonwrack\n",
      "historypant\n",
      "specifiedinnovative\n",
      "impetuousfurbelows\n",
      "producecoven\n",
      "fixnumquicklime\n",
      "amuckpoints\n",
      "ellipticalfabricator\n",
      "figsql\n",
      "listenerabandoned\n",
      "bluetailgodwottery\n",
      "clucklinnet\n",
      "meatsoffbeat\n",
      "clucklinnet\n",
      "sortinterior\n",
      "ytterbiumprovincial\n",
      "copalinstruct\n",
      "troubledseptum\n",
      "easybobolink\n",
      "flinkjordan\n",
      "lickerbond\n",
      "tyrespan\n",
      "fizzclimbing\n",
      "grabbig\n",
      "turnoverlovesick\n",
      "driftmvc\n",
      "flickcanapes\n",
      "stunassured\n",
      "unbalancedprotoplanet\n",
      "casesslippery\n",
      "agenascientists\n",
      "surmiseteenagers\n",
      "alloweruptions\n",
      "carrionscream\n",
      "flickcanapes\n",
      "synonympatisserie\n",
      "trapdoormongrel\n",
      "neighborlyrook\n",
      "bonelliseal\n",
      "musicalchampagne\n",
      "stylishmugs\n",
      "listenerabandoned\n",
      "radicandoceanic\n",
      "badgefields\n",
      "cowardlyabout\n",
      "simplicityfairy\n",
      "crepegrape\n",
      "snaildossier\n",
      "alloweruptions\n",
      "translatecyclist\n",
      "musicalchampagne\n",
      "bunchmeats\n",
      "showerspain\n",
      "mincegaiters\n",
      "ytterbiumprovincial\n",
      "bluetailgodwottery\n",
      "listenerabandoned\n",
      "alloweruptions\n",
      "flinkjordan\n",
      "stylishmugs\n",
      "raggedshrink\n",
      "singesculptor\n",
      "grabbig\n",
      "allegatorwafers\n",
      "sociablelemma\n",
      "lasttaiga\n",
      "hoursethanoate\n",
      "pancakesgrebe\n",
      "eontop\n",
      "namibianstabbing\n",
      "popmatrices\n",
      "dronessomersault\n",
      "figsql\n",
      "synonympatisserie\n",
      "burritoscarriage\n",
      "binomialapathetic\n",
      "souffleutility\n",
      "hoovessquares\n",
      "privacyhaunt\n",
      "souffleutility\n",
      "bluetailgodwottery\n",
      "gaudyfea\n",
      "somethingalbedo\n",
      "opticsdiameter\n",
      "rigelpaunchy\n",
      "showerspain\n",
      "unbalancedprotoplanet\n",
      "raggedshrink\n",
      "easybobolink\n",
      "agenascientists\n",
      "gaudyfea\n",
      "spiritedjump\n",
      "bonelliseal\n",
      "tubingwheatear\n",
      "translatecyclist\n",
      "ischemicfrosted\n",
      "bismuthcolloquial\n",
      "binomialapathetic\n",
      "badgefields\n",
      "snowdonevasive\n",
      "realtorcaustic\n",
      "pleasinghoop\n",
      "bracesworkable\n",
      "unbalancedprotoplanet\n",
      "sectionssqueaky\n",
      "radicandoceanic\n",
      "alloweruptions\n",
      "compareas\n",
      "cranesurgeon\n",
      "bluetailgodwottery\n",
      "behaveterminal\n",
      "dotwazzack\n",
      "disjointtoday\n",
      "batchquickest\n",
      "gammagot\n",
      "translatecyclist\n",
      "horsesmultiply\n",
      "disjointtoday\n",
      "planktonuses\n",
      "mincegaiters\n",
      "stunassured\n",
      "fizzlehelp\n",
      "dronessomersault\n",
      "badgefields\n",
      "synonympatisserie\n",
      "tendonwench\n",
      "hoursethanoate\n",
      "buoyancycowardice\n",
      "buoyancycowardice\n",
      "risottospell\n",
      "paddlevacuole\n",
      "radicandoceanic\n",
      "globeshameful\n",
      "eminentallergy\n",
      "moderatohorn\n",
      "gravelscientific\n",
      "musicalchampagne\n",
      "sectionssqueaky\n",
      "buoyancycowardice\n",
      "driftmvc\n",
      "hypergalaxyfibula\n",
      "spiritedjump\n",
      "namibianstabbing\n",
      "bashrower\n",
      "compareas\n",
      "historypant\n",
      "gravelscientific\n",
      "babyambitious\n",
      "upbeatodd\n",
      "singesculptor\n",
      "fattyoddball\n",
      "duexslt\n",
      "fizzlehelp\n",
      "starbucksbluetail\n",
      "smackswallow\n",
      "mincegaiters\n",
      "submittedwavelength\n",
      "mincegaiters\n",
      "risottospell\n",
      "elatedunicorn\n",
      "gnarledbaggy\n",
      "translatecyclist\n",
      "upbeatodd\n",
      "realtorcaustic\n",
      "compareas\n",
      "risottospell\n",
      "allocatesposts\n",
      "compareas\n",
      "planktonuses\n",
      "bismuthcolloquial\n",
      "eontop\n",
      "souffleutility\n",
      "cobolglaucous\n",
      "cranniescigarette\n",
      "copalinstruct\n",
      "ellipticalfabricator\n",
      "heaterinert\n",
      "amuckpoints\n",
      "bracesworkable\n",
      "completionskylark\n",
      "bracesworkable\n",
      "geologybeeping\n",
      "clucklinnet\n",
      "musicalchampagne\n",
      "gravelscientific\n",
      "crepegrape\n",
      "ellipticalfabricator\n",
      "cuboidpass\n",
      "feverspolystyrene\n",
      "eminentallergy\n",
      "bracesworkable\n",
      "pancakesgrebe\n",
      "sectionssqueaky\n",
      "popmatrices\n",
      "xslhopeful\n",
      "behaviourverbena\n",
      "elatedunicorn\n",
      "applyingbaker\n",
      "cobolglaucous\n",
      "replacedbevy\n",
      "completionskylark\n",
      "planktonuses\n",
      "worldlyventuri\n",
      "shrillbanjos\n",
      "tweezerscurve\n",
      "guavaconfide\n",
      "showerspain\n",
      "xslhopeful\n",
      "hoovessquares\n",
      "twitequiver\n",
      "sortinterior\n",
      "worldlyventuri\n",
      "gilletteclammy\n",
      "wisefumbling\n",
      "figsql\n",
      "crepegrape\n",
      "peacefulceaseless\n",
      "guavaconfide\n",
      "advisorlanguage\n",
      "strungebay\n",
      "completionskylark\n",
      "tyrespan\n",
      "geologybeeping\n",
      "horsesmultiply\n",
      "eontop\n",
      "poundingfrustum\n",
      "crepegrape\n",
      "coatprecious\n",
      "namibianstabbing\n",
      "bashrower\n",
      "wordsundress\n",
      "rubbishbladder\n",
      "lymphomamellow\n",
      "badgefields\n",
      "clucklinnet\n",
      "neckedjre\n",
      "parallelconcerned\n",
      "privacyhaunt\n",
      "parallelconcerned\n",
      "easybobolink\n",
      "showerspain\n",
      "mtvgrosbeak\n",
      "fattyoddball\n",
      "cartridgesbummage\n",
      "geologybeeping\n",
      "unguardedgiant\n",
      "musicalchampagne\n",
      "clucklinnet\n",
      "binomialapathetic\n",
      "epsiloncloning\n",
      "burntrifle\n",
      "mtvgrosbeak\n",
      "sortinterior\n",
      "sociablelemma\n",
      "heaterinert\n",
      "xslhopeful\n",
      "fixnumquicklime\n",
      "figsql\n",
      "bashrower\n",
      "badgefields\n",
      "badgefields\n",
      "babyambitious\n",
      "neighborlyrook\n",
      "stunassured\n",
      "earmarinated\n",
      "fizzlehelp\n",
      "behaviourverbena\n",
      "horsesmultiply\n",
      "tweezerscurve\n",
      "colonclipper\n",
      "surmiseteenagers\n",
      "latticelaboratory\n",
      "allocatesposts\n",
      "earmarinated\n",
      "trapdoormongrel\n",
      "lasttaiga\n",
      "epsiloncloning\n",
      "pleasinghoop\n",
      "parallelconcerned\n",
      "listenerabandoned\n",
      "tendonwench\n",
      "worldlyventuri\n",
      "swankythough\n",
      "quadratcranky\n",
      "casesslippery\n",
      "gruntdrive\n",
      "lymphomamellow\n",
      "bluetailgodwottery\n",
      "neighborlyrook\n",
      "gnarledbaggy\n",
      "completionskylark\n",
      "wisefumbling\n",
      "poundingfrustum\n",
      "gravelscientific\n",
      "binomialapathetic\n",
      "heomicron\n",
      "tubingwheatear\n",
      "tubingwheatear\n",
      "craytugofwar\n",
      "elatedunicorn\n",
      "alloweruptions\n",
      "gruntdrive\n",
      "twitequiver\n",
      "completionskylark\n",
      "frequencywould\n",
      "gaudyfea\n",
      "replacedbevy\n",
      "stunassured\n",
      "canalhateful\n",
      "ledgeindeed\n",
      "geologybeeping\n",
      "compareas\n",
      "shrillbanjos\n",
      "wonderfulscullian\n",
      "latticelaboratory\n",
      "tendonwench\n",
      "flickcanapes\n",
      "ellipticalfabricator\n",
      "latticelaboratory\n",
      "horsesmultiply\n",
      "smackswallow\n",
      "dialgraft\n",
      "impetuousfurbelows\n",
      "unguardedgiant\n",
      "epsiloncloning\n",
      "chiselleddessicants\n",
      "souffleutility\n",
      "easybobolink\n",
      "sectionssqueaky\n",
      "frequencywould\n",
      "sectionssqueaky\n",
      "guavaconfide\n",
      "smackswallow\n",
      "wisefumbling\n",
      "advisorlanguage\n",
      "guavaconfide\n",
      "craytugofwar\n",
      "specifiedinnovative\n",
      "xslhopeful\n",
      "turnoverlovesick\n",
      "twitequiver\n",
      "neckedjre\n",
      "pancakesgrebe\n",
      "buoyancycowardice\n",
      "surmiseteenagers\n",
      "actuallyfoot\n",
      "freelysociable\n",
      "wonderfulscullian\n",
      "agenascientists\n",
      "epsiloncloning\n",
      "pipetsrockers\n",
      "metaiota\n",
      "gravelscientific\n",
      "cartridgesbummage\n",
      "fattyoddball\n",
      "tyrespan\n",
      "meatsoffbeat\n",
      "unicyclistamiable\n",
      "stunassured\n",
      "analbar\n",
      "looroasting\n",
      "tyrespan\n",
      "agenascientists\n",
      "unicyclistamiable\n",
      "historypant\n",
      "flakyunlawful\n",
      "compareas\n",
      "mtvgrosbeak\n",
      "stylishmugs\n",
      "heaterinert\n",
      "specifiedinnovative\n",
      "wordsundress\n",
      "bismuthcolloquial\n",
      "geologybeeping\n",
      "batchquickest\n",
      "canalhateful\n",
      "starbucksbluetail\n",
      "coatprecious\n",
      "sociablelemma\n",
      "rappelarias\n",
      "lymphomamellow\n",
      "agenascientists\n",
      "submittedwavelength\n",
      "ischemicfrosted\n",
      "trapdoormongrel\n",
      "tendonwench\n",
      "impetuousfurbelows\n",
      "carrionscream\n",
      "tweezerscurve\n",
      "eminentallergy\n",
      "showerspain\n",
      "unguardedgiant\n",
      "deficientclunking\n",
      "tendonwench\n",
      "lickerbond\n",
      "duexslt\n",
      "cowardlyabout\n",
      "flickcanapes\n",
      "souffleutility\n",
      "peacefulceaseless\n",
      "micaassistant\n",
      "cowardlyabout\n",
      "actuallyfoot\n",
      "amuckpoints\n",
      "rigelpaunchy\n",
      "replacedbevy\n",
      "shrillbanjos\n",
      "guavaconfide\n",
      "bunchmeats\n",
      "sociablelemma\n",
      "agenascientists\n",
      "fizzlehelp\n",
      "meggingswine\n",
      "cranesurgeon\n",
      "troubledseptum\n",
      "pleasinghoop\n",
      "fundingticket\n",
      "binomialapathetic\n",
      "geologybeeping\n",
      "planktonuses\n",
      "cartridgesbummage\n",
      "namibianstabbing\n",
      "surmiseteenagers\n",
      "coatprecious\n",
      "carrionscream\n",
      "ischemicfrosted\n",
      "bashrower\n",
      "poohvireo\n",
      "lymphomamellow\n",
      "actuallyfoot\n",
      "batchquickest\n",
      "deficientclunking\n",
      "colonclipper\n",
      "cobolglaucous\n",
      "bonelliseal\n",
      "maintainwiggly\n",
      "craytugofwar\n",
      "swankythough\n",
      "sectionssqueaky\n",
      "flinkjordan\n",
      "unbalancedprotoplanet\n",
      "frequencywould\n",
      "fizzclimbing\n",
      "shrillbanjos\n",
      "unicyclistamiable\n",
      "gruntdrive\n",
      "cartridgesbummage\n",
      "quadratcranky\n",
      "buoyancycowardice\n",
      "snowdonevasive\n",
      "ledgeindeed\n",
      "binomialapathetic\n",
      "twitequiver\n",
      "behaviourverbena\n",
      "rigelpaunchy\n",
      "troubledseptum\n",
      "hoursethanoate\n",
      "fizzlehelp\n",
      "binomialapathetic\n",
      "bracesworkable\n",
      "namibianstabbing\n",
      "freelysociable\n",
      "wonderfulscullian\n",
      "easybobolink\n",
      "raggedshrink\n",
      "agenascientists\n",
      "horsesmultiply\n",
      "simplicityfairy\n",
      "gaudyfea\n",
      "mtvgrosbeak\n",
      "gnarledbaggy\n",
      "behaviourverbena\n",
      "clucklinnet\n",
      "pipetsrockers\n",
      "gaudyfea\n",
      "fundingticket\n",
      "tendonwench\n",
      "disjointtoday\n",
      "opticsdiameter\n",
      "musicalchampagne\n",
      "ellipticalfabricator\n",
      "compareas\n",
      "neighborlyrook\n",
      "babyambitious\n",
      "lickerbond\n",
      "shrillbanjos\n",
      "ytterbiumprovincial\n",
      "frequencywould\n",
      "globeshameful\n",
      "planktonuses\n",
      "turnoverlovesick\n",
      "batchquickest\n",
      "upbeatodd\n",
      "quadratcranky\n",
      "stairsgobsmacked\n",
      "cowardlyabout\n",
      "crepegrape\n",
      "analbar\n",
      "geologybeeping\n",
      "heaterinert\n",
      "unguardedgiant\n",
      "copalinstruct\n",
      "gaudyfea\n",
      "simplicityfairy\n",
      "farrowcetti\n",
      "disjointtoday\n",
      "fattyoddball\n",
      "rigelpaunchy\n",
      "sectionssqueaky\n",
      "compareas\n",
      "advisorlanguage\n",
      "ellipticalfabricator\n",
      "producecoven\n",
      "souffleutility\n",
      "swankythough\n",
      "blythpulse\n",
      "unicyclistamiable\n",
      "trapdoormongrel\n",
      "maintainwiggly\n",
      "spiritedjump\n",
      "geologybeeping\n",
      "risottospell\n",
      "phobosstaccato\n",
      "binomialapathetic\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "specifiedinnovative\n",
      "heomicron\n",
      "snaildossier\n",
      "wordsundress\n",
      "figsql\n",
      "quadratcranky\n",
      "batchquickest\n",
      "privacyhaunt\n",
      "bashrower\n",
      "chichazard\n",
      "trapdoormongrel\n",
      "spiritedjump\n",
      "clucklinnet\n",
      "historypant\n",
      "frequencywould\n",
      "deficientclunking\n",
      "poundingfrustum\n",
      "duexslt\n",
      "somethingalbedo\n",
      "bismuthcolloquial\n",
      "tweezerscurve\n",
      "easybobolink\n",
      "trapdoormongrel\n",
      "ashamedmuscles\n",
      "fizzlehelp\n",
      "eontop\n",
      "ischemicfrosted\n",
      "replacedbevy\n",
      "deficientclunking\n",
      "stylishmugs\n",
      "gammagot\n",
      "latticelaboratory\n",
      "bracesworkable\n",
      "paddlevacuole\n",
      "globeshameful\n",
      "synonympatisserie\n",
      "upbeatodd\n",
      "rubbishbladder\n",
      "advisorlanguage\n",
      "analbar\n",
      "gogglesknacker\n",
      "casesslippery\n",
      "compareas\n",
      "backedammeter\n",
      "strungebay\n",
      "ashamedmuscles\n",
      "disjointtoday\n",
      "eminentallergy\n",
      "fizzlehelp\n",
      "latticelaboratory\n",
      "stairsgobsmacked\n",
      "disjointtoday\n",
      "gogglesknacker\n",
      "moderatohorn\n",
      "showerspain\n",
      "emeraldclippers\n",
      "rappelarias\n",
      "organicmajor\n",
      "handywrist\n",
      "allocatesposts\n",
      "rigelpaunchy\n",
      "gnarledbaggy\n",
      "allegatorwafers\n",
      "realtorcaustic\n",
      "submittedwavelength\n",
      "tubingwheatear\n",
      "carrionscream\n",
      "unguardedgiant\n",
      "chichazard\n",
      "earmarinated\n",
      "fizzclimbing\n",
      "fizzclimbing\n",
      "unguardedgiant\n",
      "fizzlehelp\n",
      "looroasting\n",
      "epsiloncloning\n",
      "agenascientists\n",
      "gaudyfea\n",
      "langeredsubset\n",
      "binomialapathetic\n",
      "hoovessquares\n",
      "unguardedgiant\n",
      "impetuousfurbelows\n",
      "coatprecious\n",
      "simplicityfairy\n",
      "dweebspices\n",
      "sociablelemma\n",
      "wonderfulscullian\n",
      "moderatohorn\n",
      "tweezerscurve\n",
      "fizzclimbing\n",
      "troubledseptum\n",
      "cowardlyabout\n",
      "strungebay\n",
      "swankythough\n",
      "unguardedgiant\n",
      "cowardlyabout\n",
      "upbeatodd\n",
      "burntrifle\n",
      "emeraldclippers\n",
      "cranesurgeon\n",
      "langeredsubset\n",
      "advisorlanguage\n",
      "advisorlanguage\n",
      "maintainwiggly\n",
      "ischemicfrosted\n",
      "cobolglaucous\n",
      "craytugofwar\n",
      "upbeatodd\n",
      "submittedwavelength\n",
      "cleaningburnt\n",
      "smackswallow\n",
      "fizzlehelp\n",
      "pipetsrockers\n",
      "applyingbaker\n",
      "heaterinert\n",
      "europiumcentury\n",
      "realtorcaustic\n",
      "casesslippery\n",
      "hoursethanoate\n",
      "dotwazzack\n",
      "mtvgrosbeak\n",
      "expecteffective\n",
      "binomialapathetic\n",
      "latticelaboratory\n",
      "allocatesposts\n",
      "rigelpaunchy\n",
      "fattyoddball\n",
      "pipeathlete\n",
      "twitequiver\n",
      "completionskylark\n",
      "figsql\n",
      "fizzclimbing\n",
      "chiselleddessicants\n",
      "paddlevacuole\n",
      "craytugofwar\n",
      "mincegaiters\n",
      "gnarledbaggy\n",
      "unbalancedprotoplanet\n",
      "epsiloncloning\n",
      "clucklinnet\n",
      "starbucksbluetail\n",
      "loindecorate\n",
      "instantthwack\n",
      "carrionscream\n",
      "rigelpaunchy\n",
      "evaporatingplug\n",
      "flakyunlawful\n",
      "tendonwench\n",
      "privacyhaunt\n",
      "burntrifle\n",
      "decanterbalance\n",
      "pipeathlete\n",
      "cowardlyabout\n",
      "carrionscream\n",
      "maintainwiggly\n",
      "fixnumquicklime\n",
      "realtorcaustic\n",
      "twitequiver\n",
      "snaildossier\n",
      "snowdonevasive\n",
      "hypergalaxyfibula\n",
      "tubingwheatear\n",
      "quadratcranky\n",
      "clucklinnet\n",
      "casesslippery\n",
      "duexslt\n",
      "organicmajor\n",
      "gammagot\n",
      "farrowcetti\n",
      "historypant\n",
      "analbar\n",
      "gaudyfea\n",
      "dialgraft\n",
      "analbar\n",
      "risottospell\n",
      "ceilinjuries\n",
      "behaveterminal\n",
      "snowdonevasive\n",
      "shrillbanjos\n",
      "dronessomersault\n",
      "eminentallergy\n",
      "snowdonevasive\n",
      "expecteffective\n",
      "handywrist\n",
      "fizzlehelp\n",
      "fizzlehelp\n",
      "cartridgesbummage\n",
      "duexslt\n",
      "eminentallergy\n",
      "ytterbiumprovincial\n",
      "casesslippery\n",
      "paddlevacuole\n",
      "maintainwiggly\n",
      "binomialapathetic\n",
      "behaveterminal\n",
      "elatedunicorn\n",
      "stunassured\n",
      "fizzclimbing\n",
      "axlevirtue\n",
      "neckedjre\n",
      "tweezerscurve\n",
      "frequencywould\n",
      "copalinstruct\n",
      "badgefields\n",
      "gravelscientific\n",
      "lasttaiga\n",
      "producecoven\n",
      "raggedshrink\n",
      "poundingfrustum\n",
      "pancakesgrebe\n",
      "somethingalbedo\n",
      "eontop\n",
      "amuckpoints\n",
      "eminentallergy\n",
      "figsql\n",
      "amuckpoints\n",
      "gilletteclammy\n",
      "flinkjordan\n",
      "copalinstruct\n",
      "dweebspices\n",
      "ceilinjuries\n",
      "dronessomersault\n",
      "upbeatodd\n",
      "translatecyclist\n",
      "wordsundress\n",
      "instantthwack\n",
      "eminentallergy\n",
      "tubingwheatear\n",
      "quadratcranky\n",
      "bracesworkable\n",
      "alloweruptions\n",
      "cartridgesbummage\n",
      "bismuthcolloquial\n",
      "gaudyfea\n",
      "hoovessquares\n",
      "starbucksbluetail\n",
      "frequencywould\n",
      "musicalchampagne\n",
      "eontop\n",
      "loindecorate\n",
      "expecteffective\n",
      "unbalancedprotoplanet\n",
      "apronextension\n",
      "bunchmeats\n",
      "badgefields\n",
      "shrillbanjos\n",
      "namibianstabbing\n",
      "lymphomamellow\n",
      "showerspain\n",
      "evaporatingplug\n",
      "snowdonevasive\n",
      "neckedjre\n",
      "barnevidence\n",
      "belchedsodding\n",
      "wonderfulscullian\n",
      "coatprecious\n",
      "poohvireo\n",
      "expecteffective\n",
      "gilletteclammy\n",
      "duexslt\n",
      "fizzlehelp\n",
      "smackswallow\n",
      "ellipticalfabricator\n",
      "farrowcetti\n",
      "amuckpoints\n",
      "microwavejar\n",
      "casesslippery\n",
      "badgefields\n",
      "producecoven\n",
      "xslhopeful\n",
      "backedammeter\n",
      "backedammeter\n",
      "producecoven\n",
      "metaiota\n",
      "pleasinghoop\n",
      "fattyoddball\n",
      "wordsundress\n",
      "casesslippery\n",
      "casesslippery\n",
      "agenascientists\n",
      "analbar\n",
      "pleasinghoop\n",
      "phobosstaccato\n",
      "casesslippery\n",
      "fixnumquicklime\n",
      "europiumcentury\n",
      "flickcanapes\n",
      "tubingwheatear\n",
      "ellipticalfabricator\n",
      "specifiedinnovative\n",
      "axlevirtue\n",
      "canalhateful\n",
      "behaveterminal\n",
      "barnevidence\n",
      "turnoverlovesick\n",
      "mincegaiters\n",
      "poundingfrustum\n",
      "allegatorwafers\n",
      "cobolglaucous\n",
      "planktonuses\n",
      "strungebay\n",
      "fizzclimbing\n",
      "stairsgobsmacked\n",
      "eminentallergy\n",
      "unbalancedprotoplanet\n",
      "gammagot\n",
      "analbar\n",
      "dweebspices\n",
      "casesslippery\n",
      "eminentallergy\n",
      "hypergalaxyfibula\n",
      "chiselleddessicants\n",
      "stairsgobsmacked\n",
      "langeredsubset\n",
      "xslhopeful\n",
      "pipeathlete\n",
      "dialgraft\n",
      "bismuthcolloquial\n",
      "listenerabandoned\n",
      "pipeathlete\n",
      "bunchmeats\n",
      "stunassured\n",
      "grabbig\n",
      "emeraldclippers\n",
      "instantthwack\n",
      "sectionssqueaky\n",
      "ceilinjuries\n",
      "unguardedgiant\n",
      "europiumcentury\n",
      "lymphomamellow\n",
      "gammagot\n",
      "tubingwheatear\n",
      "surmiseteenagers\n",
      "impetuousfurbelows\n",
      "frequencywould\n",
      "pipeathlete\n",
      "bismuthcolloquial\n",
      "worldlyventuri\n",
      "earmarinated\n",
      "craytugofwar\n",
      "bismuthcolloquial\n",
      "applyingbaker\n",
      "disjointtoday\n",
      "epsiloncloning\n",
      "axlevirtue\n",
      "eontop\n",
      "souffleutility\n",
      "fizzlehelp\n",
      "microwavejar\n",
      "privacyhaunt\n",
      "pipetsrockers\n",
      "wisefumbling\n",
      "dialgraft\n",
      "backedammeter\n",
      "fundingticket\n",
      "ledgeindeed\n",
      "ytterbiumprovincial\n",
      "earmarinated\n",
      "gruntdrive\n",
      "gruntdrive\n",
      "metaiota\n",
      "snowdonevasive\n",
      "heaterinert\n",
      "privacyhaunt\n",
      "sociablelemma\n",
      "behaveterminal\n",
      "unbalancedprotoplanet\n",
      "parallelconcerned\n",
      "rubbishbladder\n",
      "applyingbaker\n",
      "expecteffective\n",
      "singesculptor\n",
      "ashamedmuscles\n",
      "fizzlehelp\n",
      "impetuousfurbelows\n",
      "opticsdiameter\n",
      "deficientclunking\n",
      "amuckpoints\n",
      "rubbishbladder\n",
      "bluetailgodwottery\n",
      "evaporatingplug\n",
      "gammagot\n",
      "parallelconcerned\n",
      "behaveterminal\n",
      "instantthwack\n",
      "agenascientists\n",
      "upbeatodd\n",
      "agenascientists\n",
      "croutonwrack\n",
      "surmiseteenagers\n",
      "actuallyfoot\n",
      "flickcanapes\n",
      "frequencywould\n",
      "unbalancedprotoplanet\n",
      "allocatesposts\n",
      "heaterinert\n",
      "belchedsodding\n",
      "xslhopeful\n",
      "fattyoddball\n",
      "driftmvc\n",
      "producecoven\n",
      "synonympatisserie\n",
      "smackswallow\n",
      "latticelaboratory\n",
      "coatprecious\n",
      "heaterinert\n",
      "bracesworkable\n",
      "nursingrash\n",
      "pipetsrockers\n",
      "privacyhaunt\n",
      "allocatesposts\n",
      "bismuthcolloquial\n",
      "translatecyclist\n",
      "frequencywould\n",
      "producecoven\n",
      "dweebspices\n",
      "barnevidence\n",
      "dampedbrioche\n",
      "paddlevacuole\n",
      "bracesworkable\n",
      "frequencywould\n",
      "globeshameful\n",
      "frequencywould\n",
      "opticsdiameter\n",
      "troubledseptum\n",
      "dronessomersault\n",
      "submittedwavelength\n",
      "pipetsrockers\n",
      "ellipticalfabricator\n",
      "ceilinjuries\n",
      "fizzclimbing\n",
      "ledgeindeed\n",
      "croutonwrack\n",
      "realtorcaustic\n",
      "ceilinjuries\n",
      "apronextension\n",
      "pancakesgrebe\n",
      "phobosstaccato\n",
      "eminentallergy\n",
      "tendonwench\n",
      "babyambitious\n",
      "somethingalbedo\n",
      "bismuthcolloquial\n",
      "wonderfulscullian\n",
      "chichazard\n",
      "pleasinghoop\n",
      "flickcanapes\n",
      "frequencywould\n",
      "dronessomersault\n",
      "dweebspices\n",
      "pipeathlete\n",
      "advisorlanguage\n",
      "lymphomamellow\n",
      "turnoverlovesick\n",
      "gravelscientific\n",
      "mincegaiters\n",
      "lasttaiga\n",
      "raggedshrink\n",
      "guavaconfide\n",
      "bluetailgodwottery\n",
      "synonympatisserie\n",
      "ceilinjuries\n",
      "dronessomersault\n",
      "copalinstruct\n",
      "cranniescigarette\n",
      "bashrower\n",
      "peacefulceaseless\n",
      "wordsundress\n",
      "expecteffective\n",
      "farrowcetti\n",
      "upbeatodd\n",
      "mtvgrosbeak\n",
      "xslhopeful\n",
      "deficientclunking\n",
      "mtvgrosbeak\n",
      "babyambitious\n",
      "hoovessquares\n",
      "globeshameful\n",
      "surmiseteenagers\n",
      "moderatohorn\n",
      "gruntdrive\n",
      "farrowcetti\n",
      "hypergalaxyfibula\n",
      "alloweruptions\n",
      "coatprecious\n",
      "backedammeter\n",
      "shrillbanjos\n",
      "burntrifle\n",
      "mincegaiters\n",
      "metaiota\n",
      "quadratcranky\n",
      "fizzlehelp\n",
      "buoyancycowardice\n",
      "fundingticket\n",
      "stunassured\n",
      "popmatrices\n",
      "easybobolink\n",
      "gilletteclammy\n",
      "compareas\n",
      "stunassured\n",
      "colonclipper\n",
      "gammagot\n",
      "unbalancedprotoplanet\n",
      "organicmajor\n",
      "dotwazzack\n",
      "surmiseteenagers\n",
      "pleasinghoop\n",
      "ceilinjuries\n",
      "dotwazzack\n",
      "europiumcentury\n",
      "agenascientists\n",
      "freelysociable\n",
      "trapdoormongrel\n",
      "phobosstaccato\n",
      "cartridgesbummage\n",
      "maintainwiggly\n",
      "parallelconcerned\n",
      "deficientclunking\n",
      "troubledseptum\n",
      "listenerabandoned\n",
      "barnevidence\n",
      "crepegrape\n",
      "bluetailgodwottery\n",
      "ellipticalfabricator\n",
      "producecoven\n",
      "europiumcentury\n",
      "stunassured\n",
      "allegatorwafers\n",
      "driftmvc\n",
      "synonympatisserie\n",
      "duexslt\n",
      "gogglesknacker\n",
      "snaildossier\n",
      "simplicityfairy\n",
      "fundingticket\n",
      "carrionscream\n",
      "specifiedinnovative\n",
      "buoyancycowardice\n",
      "bismuthcolloquial\n",
      "cobolglaucous\n",
      "barnevidence\n",
      "buoyancycowardice\n",
      "globeshameful\n",
      "croutonwrack\n",
      "cheapersyllable\n",
      "fizzlehelp\n",
      "looroasting\n",
      "blythpulse\n",
      "sociablelemma\n",
      "pleasinghoop\n",
      "swankythough\n",
      "nursingrash\n",
      "starbucksbluetail\n",
      "epsiloncloning\n",
      "radicandoceanic\n",
      "synonympatisserie\n",
      "poundingfrustum\n",
      "bashrower\n",
      "surmiseteenagers\n",
      "actuallyfoot\n",
      "rigelpaunchy\n",
      "colonclipper\n",
      "ytterbiumprovincial\n",
      "dronessomersault\n",
      "souffleutility\n",
      "tendonwench\n",
      "phobosstaccato\n",
      "rubbishbladder\n",
      "ceilinjuries\n",
      "submittedwavelength\n",
      "rigelpaunchy\n",
      "synonympatisserie\n",
      "bonelliseal\n",
      "dotwazzack\n",
      "epsiloncloning\n",
      "bluetailgodwottery\n",
      "burritoscarriage\n",
      "sectionssqueaky\n",
      "compareas\n",
      "copalinstruct\n",
      "loindecorate\n",
      "microwavejar\n",
      "spiritedjump\n",
      "chichazard\n",
      "duexslt\n",
      "disjointtoday\n",
      "tweezerscurve\n",
      "radicandoceanic\n",
      "phobosstaccato\n",
      "stairsgobsmacked\n",
      "bracesworkable\n",
      "wisefumbling\n",
      "gnarledbaggy\n",
      "realtorcaustic\n",
      "starbucksbluetail\n",
      "quadratcranky\n",
      "dampedbrioche\n",
      "spiritedjump\n",
      "sociablelemma\n",
      "phobosstaccato\n",
      "worldlyventuri\n",
      "gammagot\n",
      "pipetsrockers\n",
      "belchedsodding\n",
      "unguardedgiant\n",
      "instantthwack\n",
      "decanterbalance\n",
      "badgefields\n",
      "cleaningburnt\n",
      "barnevidence\n",
      "lasttaiga\n",
      "actuallyfoot\n",
      "hypergalaxyfibula\n",
      "organicmajor\n",
      "completionskylark\n",
      "actuallyfoot\n",
      "compareas\n",
      "blythpulse\n",
      "opticsdiameter\n",
      "risottospell\n",
      "carrionscream\n",
      "parallelconcerned\n",
      "privacyhaunt\n",
      "gruntdrive\n",
      "strungebay\n",
      "chichazard\n",
      "sectionssqueaky\n",
      "cranniescigarette\n",
      "decanterbalance\n",
      "twitequiver\n",
      "lickerbond\n",
      "smackswallow\n",
      "simplicityfairy\n",
      "cartridgesbummage\n",
      "applyingbaker\n",
      "xslhopeful\n",
      "blythpulse\n",
      "pipeathlete\n",
      "moderatohorn\n",
      "craytugofwar\n",
      "alloweruptions\n",
      "opticsdiameter\n",
      "microwavejar\n",
      "cobolglaucous\n",
      "freelysociable\n",
      "unicyclistamiable\n",
      "gruntdrive\n",
      "croutonwrack\n",
      "dweebspices\n",
      "swankythough\n",
      "gaudyfea\n",
      "gravelscientific\n",
      "organicmajor\n",
      "behaviourverbena\n",
      "stunassured\n",
      "maintainwiggly\n",
      "smackswallow\n",
      "namibianstabbing\n",
      "poohvireo\n",
      "frequencywould\n",
      "fixnumquicklime\n",
      "cowardlyabout\n",
      "dotwazzack\n",
      "neighborlyrook\n",
      "fizzclimbing\n",
      "tyrespan\n",
      "poohvireo\n",
      "babyambitious\n",
      "pancakesgrebe\n",
      "ytterbiumprovincial\n",
      "eminentallergy\n",
      "historypant\n",
      "lasttaiga\n",
      "tweezerscurve\n",
      "alloweruptions\n",
      "elatedunicorn\n",
      "worldlyventuri\n",
      "submittedwavelength\n",
      "wisefumbling\n",
      "croutonwrack\n",
      "maintainwiggly\n",
      "cheapersyllable\n",
      "latticelaboratory\n",
      "allegatorwafers\n",
      "buoyancycowardice\n",
      "ytterbiumprovincial\n",
      "advisorlanguage\n",
      "producecoven\n",
      "evaporatingplug\n",
      "maintainwiggly\n",
      "decanterbalance\n",
      "paddlevacuole\n",
      "xslhopeful\n",
      "specifiedinnovative\n",
      "hypergalaxyfibula\n",
      "paddlevacuole\n",
      "turnoverlovesick\n",
      "horsesmultiply\n",
      "bashrower\n",
      "pleasinghoop\n",
      "souffleutility\n",
      "wisefumbling\n",
      "replacedbevy\n",
      "ellipticalfabricator\n",
      "worldlyventuri\n",
      "realtorcaustic\n",
      "wonderfulscullian\n",
      "translatecyclist\n",
      "specifiedinnovative\n",
      "loindecorate\n",
      "feverspolystyrene\n",
      "backedammeter\n",
      "rappelarias\n",
      "burntrifle\n",
      "casesslippery\n",
      "gogglesknacker\n",
      "fizzclimbing\n",
      "guavaconfide\n",
      "barnevidence\n",
      "hoovessquares\n",
      "burntrifle\n",
      "namibianstabbing\n",
      "croutonwrack\n",
      "completionskylark\n",
      "gogglesknacker\n",
      "trapdoormongrel\n",
      "heaterinert\n",
      "dampedbrioche\n",
      "spiritedjump\n",
      "europiumcentury\n",
      "bunchmeats\n",
      "dampedbrioche\n",
      "stairsgobsmacked\n",
      "specifiedinnovative\n",
      "cobolglaucous\n",
      "bracesworkable\n",
      "nursingrash\n",
      "ellipticalfabricator\n",
      "meggingswine\n",
      "privacyhaunt\n",
      "babyambitious\n",
      "cartridgesbummage\n",
      "clucklinnet\n",
      "craytugofwar\n",
      "spiritedjump\n",
      "europiumcentury\n",
      "dampedbrioche\n",
      "chichazard\n",
      "rigelpaunchy\n",
      "heaterinert\n",
      "analbar\n",
      "cartridgesbummage\n",
      "snowdonevasive\n",
      "bonelliseal\n",
      "evaporatingplug\n",
      "agenascientists\n",
      "souffleutility\n",
      "impetuousfurbelows\n",
      "snaildossier\n",
      "phobosstaccato\n",
      "cowardlyabout\n",
      "sectionssqueaky\n",
      "europiumcentury\n",
      "mincegaiters\n",
      "feverspolystyrene\n",
      "raggedshrink\n",
      "burritoscarriage\n",
      "chiselleddessicants\n",
      "strungebay\n",
      "realtorcaustic\n",
      "cobolglaucous\n",
      "epsiloncloning\n",
      "mtvgrosbeak\n",
      "gilletteclammy\n",
      "epsiloncloning\n",
      "wordsundress\n",
      "analbar\n",
      "handywrist\n",
      "allocatesposts\n",
      "behaviourverbena\n",
      "carrionscream\n",
      "stylishmugs\n",
      "moderatohorn\n",
      "rappelarias\n",
      "emeraldclippers\n",
      "farrowcetti\n",
      "gaudyfea\n",
      "blythpulse\n",
      "nursingrash\n",
      "radicandoceanic\n",
      "organicmajor\n",
      "mtvgrosbeak\n",
      "simplicityfairy\n",
      "eminentallergy\n",
      "chichazard\n",
      "gogglesknacker\n",
      "tendonwench\n",
      "fattyoddball\n",
      "trapdoormongrel\n",
      "turnoverlovesick\n",
      "trapdoormongrel\n",
      "gnarledbaggy\n",
      "instantthwack\n",
      "coatprecious\n",
      "bracesworkable\n",
      "phobosstaccato\n",
      "opticsdiameter\n",
      "instantthwack\n",
      "meggingswine\n",
      "ceilinjuries\n",
      "eontop\n",
      "rappelarias\n",
      "behaveterminal\n",
      "bismuthcolloquial\n",
      "hoovessquares\n",
      "neighborlyrook\n",
      "decanterbalance\n",
      "tyrespan\n",
      "stylishmugs\n",
      "mtvgrosbeak\n",
      "translatecyclist\n",
      "badgefields\n",
      "upbeatodd\n",
      "tubingwheatear\n",
      "replacedbevy\n",
      "applyingbaker\n",
      "unguardedgiant\n",
      "neighborlyrook\n",
      "globeshameful\n",
      "grabbig\n",
      "quadratcranky\n",
      "hoovessquares\n",
      "neckedjre\n",
      "realtorcaustic\n",
      "unguardedgiant\n",
      "gaudyfea\n",
      "snowdonevasive\n",
      "somethingalbedo\n",
      "tweezerscurve\n",
      "organicmajor\n",
      "compareas\n",
      "batchquickest\n",
      "raggedshrink\n",
      "bluetailgodwottery\n",
      "earmarinated\n",
      "axlevirtue\n",
      "surmiseteenagers\n",
      "grabbig\n",
      "fizzlehelp\n",
      "fattyoddball\n",
      "crepegrape\n",
      "lymphomamellow\n",
      "turnoverlovesick\n",
      "bunchmeats\n",
      "shrillbanjos\n",
      "shrillbanjos\n",
      "burntrifle\n",
      "pipetsrockers\n",
      "grabbig\n",
      "starbucksbluetail\n",
      "babyambitious\n",
      "ytterbiumprovincial\n",
      "flickcanapes\n",
      "submittedwavelength\n",
      "hoovessquares\n",
      "worldlyventuri\n",
      "cranesurgeon\n",
      "actuallyfoot\n",
      "dweebspices\n",
      "figsql\n",
      "parallelconcerned\n",
      "completionskylark\n",
      "smackswallow\n",
      "showerspain\n",
      "wonderfulscullian\n",
      "freelysociable\n",
      "apronextension\n",
      "meggingswine\n",
      "poundingfrustum\n",
      "tendonwench\n",
      "amuckpoints\n",
      "looroasting\n",
      "alloweruptions\n",
      "copalinstruct\n",
      "canalhateful\n",
      "meatsoffbeat\n",
      "smackswallow\n",
      "cranniescigarette\n",
      "copalinstruct\n",
      "amuckpoints\n",
      "barnevidence\n",
      "duexslt\n",
      "upbeatodd\n",
      "wordsundress\n",
      "babyambitious\n",
      "horsesmultiply\n",
      "specifiedinnovative\n",
      "heaterinert\n",
      "binomialapathetic\n",
      "binomialapathetic\n",
      "frequencywould\n",
      "bonelliseal\n",
      "bracesworkable\n",
      "starbucksbluetail\n",
      "poundingfrustum\n",
      "gravelscientific\n",
      "smackswallow\n",
      "snaildossier\n",
      "paddlevacuole\n",
      "organicmajor\n",
      "peacefulceaseless\n",
      "raggedshrink\n",
      "cartridgesbummage\n",
      "unguardedgiant\n",
      "behaviourverbena\n",
      "bashrower\n",
      "fizzlehelp\n",
      "binomialapathetic\n",
      "cheapersyllable\n",
      "batchquickest\n",
      "specifiedinnovative\n",
      "poohvireo\n",
      "carrionscream\n",
      "completionskylark\n",
      "chichazard\n",
      "troubledseptum\n",
      "figsql\n",
      "tubingwheatear\n",
      "frequencywould\n",
      "submittedwavelength\n",
      "producecoven\n",
      "cartridgesbummage\n",
      "earmarinated\n",
      "burritoscarriage\n",
      "tyrespan\n",
      "fattyoddball\n",
      "coatprecious\n",
      "burntrifle\n",
      "applyingbaker\n",
      "poohvireo\n",
      "shrillbanjos\n",
      "specifiedinnovative\n",
      "chiselleddessicants\n",
      "applyingbaker\n",
      "mtvgrosbeak\n",
      "handywrist\n",
      "nursingrash\n",
      "rappelarias\n",
      "crepegrape\n",
      "submittedwavelength\n",
      "pipeathlete\n",
      "swankythough\n",
      "epsiloncloning\n",
      "unicyclistamiable\n",
      "hypergalaxyfibula\n",
      "flinkjordan\n",
      "ashamedmuscles\n",
      "translatecyclist\n",
      "completionskylark\n",
      "latticelaboratory\n",
      "eontop\n",
      "translatecyclist\n",
      "meggingswine\n",
      "peacefulceaseless\n",
      "carrionscream\n",
      "microwavejar\n",
      "fattyoddball\n",
      "binomialapathetic\n",
      "gaudyfea\n",
      "deficientclunking\n",
      "nursingrash\n",
      "worldlyventuri\n",
      "planktonuses\n",
      "unicyclistamiable\n",
      "microwavejar\n",
      "geologybeeping\n",
      "frequencywould\n",
      "impetuousfurbelows\n",
      "loindecorate\n",
      "moderatohorn\n",
      "allocatesposts\n",
      "europiumcentury\n",
      "allocatesposts\n",
      "fattyoddball\n",
      "cranesurgeon\n",
      "rubbishbladder\n",
      "behaveterminal\n",
      "meggingswine\n",
      "meggingswine\n",
      "analbar\n",
      "tubingwheatear\n",
      "bracesworkable\n",
      "pipetsrockers\n",
      "parallelconcerned\n",
      "troubledseptum\n",
      "risottospell\n",
      "cuboidpass\n",
      "specifiedinnovative\n",
      "gammagot\n",
      "ashamedmuscles\n",
      "shrillbanjos\n",
      "ashamedmuscles\n",
      "wonderfulscullian\n",
      "gammagot\n",
      "binomialapathetic\n",
      "bracesworkable\n",
      "flickcanapes\n",
      "europiumcentury\n",
      "canalhateful\n",
      "fundingticket\n",
      "hoursethanoate\n",
      "souffleutility\n",
      "bracesworkable\n",
      "tubingwheatear\n",
      "belchedsodding\n",
      "tubingwheatear\n",
      "pleasinghoop\n",
      "snowdonevasive\n",
      "looroasting\n",
      "neighborlyrook\n",
      "cheapersyllable\n",
      "upbeatodd\n",
      "decanterbalance\n",
      "bracesworkable\n",
      "burntrifle\n",
      "duexslt\n",
      "worldlyventuri\n",
      "burntrifle\n",
      "moderatohorn\n",
      "snaildossier\n",
      "snaildossier\n",
      "farrowcetti\n",
      "eontop\n",
      "ashamedmuscles\n",
      "showerspain\n",
      "cowardlyabout\n",
      "burritoscarriage\n",
      "duexslt\n",
      "duexslt\n",
      "unicyclistamiable\n",
      "alloweruptions\n",
      "smackswallow\n",
      "swankythough\n",
      "globeshameful\n",
      "driftmvc\n",
      "swankythough\n",
      "geologybeeping\n",
      "cowardlyabout\n",
      "dampedbrioche\n",
      "meatsoffbeat\n",
      "dotwazzack\n",
      "flinkjordan\n",
      "belchedsodding\n",
      "poundingfrustum\n",
      "frequencywould\n",
      "organicmajor\n",
      "poohvireo\n",
      "coatprecious\n",
      "gammagot\n",
      "copalinstruct\n",
      "buoyancycowardice\n",
      "barnevidence\n",
      "wisefumbling\n",
      "trapdoormongrel\n",
      "hoovessquares\n",
      "microwavejar\n",
      "stunassured\n",
      "peacefulceaseless\n",
      "alloweruptions\n",
      "poundingfrustum\n",
      "buoyancycowardice\n",
      "casesslippery\n",
      "deficientclunking\n",
      "canalhateful\n",
      "peacefulceaseless\n",
      "snaildossier\n",
      "dialgraft\n",
      "lasttaiga\n",
      "spiritedjump\n",
      "neckedjre\n",
      "cartridgesbummage\n",
      "badgefields\n",
      "analbar\n",
      "coatprecious\n",
      "geologybeeping\n",
      "chiselleddessicants\n",
      "bashrower\n",
      "bluetailgodwottery\n",
      "quadratcranky\n",
      "completionskylark\n",
      "opticsdiameter\n",
      "privacyhaunt\n",
      "fattyoddball\n",
      "crepegrape\n",
      "cartridgesbummage\n",
      "micaassistant\n",
      "strungebay\n",
      "dotwazzack\n",
      "tendonwench\n",
      "submittedwavelength\n",
      "horsesmultiply\n",
      "cartridgesbummage\n",
      "gruntdrive\n",
      "paddlevacuole\n",
      "cheapersyllable\n",
      "dialgraft\n",
      "badgefields\n",
      "instantthwack\n",
      "mincegaiters\n",
      "cartridgesbummage\n",
      "organicmajor\n",
      "barnevidence\n",
      "sociablelemma\n",
      "emeraldclippers\n",
      "fizzlehelp\n",
      "disjointtoday\n",
      "bismuthcolloquial\n",
      "submittedwavelength\n",
      "gruntdrive\n",
      "xslhopeful\n",
      "epsiloncloning\n",
      "poohvireo\n",
      "burntrifle\n",
      "unguardedgiant\n",
      "deficientclunking\n",
      "neckedjre\n",
      "shrillbanjos\n",
      "decanterbalance\n",
      "troubledseptum\n",
      "impetuousfurbelows\n",
      "nursingrash\n",
      "europiumcentury\n",
      "fundingticket\n",
      "tubingwheatear\n",
      "expecteffective\n",
      "clucklinnet\n",
      "wonderfulscullian\n",
      "submittedwavelength\n",
      "singesculptor\n",
      "neighborlyrook\n",
      "sectionssqueaky\n",
      "allegatorwafers\n",
      "cleaningburnt\n",
      "chichazard\n",
      "pipeathlete\n",
      "bunchmeats\n",
      "tyrespan\n",
      "micaassistant\n",
      "spiritedjump\n",
      "moderatohorn\n",
      "advisorlanguage\n",
      "heomicron\n",
      "allegatorwafers\n",
      "backedammeter\n",
      "bluetailgodwottery\n",
      "applyingbaker\n",
      "tendonwench\n",
      "crepegrape\n",
      "axlevirtue\n",
      "twitequiver\n",
      "microwavejar\n",
      "gravelscientific\n",
      "synonympatisserie\n",
      "submittedwavelength\n",
      "pipetsrockers\n",
      "emeraldclippers\n",
      "driftmvc\n",
      "heomicron\n",
      "impetuousfurbelows\n",
      "globeshameful\n",
      "applyingbaker\n",
      "behaveterminal\n",
      "rubbishbladder\n",
      "hypergalaxyfibula\n",
      "synonympatisserie\n",
      "risottospell\n",
      "synonympatisserie\n",
      "epsiloncloning\n",
      "expecteffective\n",
      "barnevidence\n",
      "decanterbalance\n",
      "fundingticket\n",
      "carrionscream\n",
      "handywrist\n",
      "wordsundress\n",
      "paddlevacuole\n",
      "mtvgrosbeak\n",
      "turnoverlovesick\n",
      "agenascientists\n",
      "lickerbond\n",
      "stylishmugs\n",
      "neckedjre\n",
      "rubbishbladder\n",
      "xslhopeful\n",
      "horsesmultiply\n",
      "cheapersyllable\n",
      "babyambitious\n",
      "cuboidpass\n",
      "poundingfrustum\n",
      "advisorlanguage\n",
      "expecteffective\n",
      "cranniescigarette\n",
      "cleaningburnt\n",
      "eminentallergy\n",
      "blythpulse\n",
      "lasttaiga\n",
      "risottospell\n",
      "analbar\n",
      "flinkjordan\n",
      "souffleutility\n",
      "xslhopeful\n",
      "evaporatingplug\n",
      "deficientclunking\n",
      "opticsdiameter\n",
      "realtorcaustic\n",
      "bunchmeats\n",
      "opticsdiameter\n",
      "pipeathlete\n",
      "allegatorwafers\n",
      "sortinterior\n",
      "wonderfulscullian\n",
      "crepegrape\n",
      "colonclipper\n",
      "bluetailgodwottery\n",
      "pipeathlete\n",
      "tubingwheatear\n",
      "horsesmultiply\n",
      "chichazard\n",
      "swankythough\n",
      "chiselleddessicants\n",
      "instantthwack\n",
      "parallelconcerned\n",
      "fizzclimbing\n",
      "phobosstaccato\n",
      "compareas\n",
      "ellipticalfabricator\n",
      "raggedshrink\n",
      "singesculptor\n",
      "farrowcetti\n",
      "lasttaiga\n",
      "apronextension\n",
      "turnoverlovesick\n",
      "souffleutility\n",
      "replacedbevy\n",
      "sortinterior\n",
      "dotwazzack\n",
      "lickerbond\n",
      "fundingticket\n",
      "somethingalbedo\n",
      "rigelpaunchy\n",
      "dotwazzack\n",
      "shrillbanjos\n",
      "clucklinnet\n",
      "upbeatodd\n",
      "deficientclunking\n",
      "belchedsodding\n",
      "cranesurgeon\n",
      "duexslt\n",
      "ellipticalfabricator\n",
      "hoursethanoate\n",
      "instantthwack\n",
      "privacyhaunt\n",
      "craytugofwar\n",
      "snaildossier\n",
      "expecteffective\n",
      "emeraldclippers\n",
      "peacefulceaseless\n",
      "cartridgesbummage\n",
      "listenerabandoned\n",
      "poohvireo\n",
      "wordsundress\n",
      "unbalancedprotoplanet\n",
      "spiritedjump\n",
      "globeshameful\n",
      "chiselleddessicants\n",
      "gaudyfea\n",
      "gaudyfea\n",
      "cranniescigarette\n",
      "phobosstaccato\n",
      "allocatesposts\n",
      "croutonwrack\n",
      "privacyhaunt\n",
      "bismuthcolloquial\n",
      "opticsdiameter\n",
      "heaterinert\n",
      "popmatrices\n",
      "analbar\n",
      "producecoven\n",
      "emeraldclippers\n",
      "somethingalbedo\n",
      "planktonuses\n",
      "stunassured\n",
      "poundingfrustum\n",
      "gaudyfea\n",
      "rappelarias\n",
      "twitequiver\n",
      "globeshameful\n",
      "dronessomersault\n",
      "quadratcranky\n",
      "ellipticalfabricator\n",
      "dweebspices\n",
      "producecoven\n",
      "hoursethanoate\n",
      "tubingwheatear\n",
      "copalinstruct\n",
      "heaterinert\n",
      "microwavejar\n",
      "deficientclunking\n",
      "xslhopeful\n",
      "organicmajor\n",
      "rubbishbladder\n",
      "allocatesposts\n",
      "raggedshrink\n",
      "poundingfrustum\n",
      "flinkjordan\n",
      "earmarinated\n",
      "burritoscarriage\n",
      "amuckpoints\n",
      "microwavejar\n",
      "agenascientists\n",
      "smackswallow\n",
      "decanterbalance\n",
      "translatecyclist\n",
      "frequencywould\n",
      "nursingrash\n",
      "heaterinert\n",
      "heaterinert\n",
      "casesslippery\n",
      "meggingswine\n",
      "lickerbond\n",
      "moderatohorn\n",
      "grabbig\n",
      "grabbig\n",
      "epsiloncloning\n",
      "gruntdrive\n",
      "upbeatodd\n",
      "deficientclunking\n",
      "metaiota\n",
      "geologybeeping\n",
      "cowardlyabout\n",
      "hypergalaxyfibula\n",
      "turnoverlovesick\n",
      "swankythough\n",
      "risottospell\n",
      "turnoverlovesick\n",
      "figsql\n",
      "fizzclimbing\n",
      "elatedunicorn\n",
      "gravelscientific\n",
      "starbucksbluetail\n",
      "behaviourverbena\n",
      "submittedwavelength\n",
      "showerspain\n",
      "globeshameful\n",
      "ceilinjuries\n",
      "casesslippery\n",
      "barnevidence\n",
      "pipetsrockers\n",
      "wisefumbling\n",
      "farrowcetti\n",
      "upbeatodd\n",
      "dotwazzack\n",
      "gruntdrive\n",
      "behaveterminal\n",
      "loindecorate\n",
      "advisorlanguage\n",
      "metaiota\n",
      "deficientclunking\n",
      "decanterbalance\n",
      "shrillbanjos\n",
      "chichazard\n",
      "europiumcentury\n",
      "unicyclistamiable\n",
      "fixnumquicklime\n",
      "europiumcentury\n",
      "unguardedgiant\n",
      "peacefulceaseless\n",
      "somethingalbedo\n",
      "heaterinert\n",
      "sociablelemma\n",
      "fizzclimbing\n",
      "grabbig\n",
      "quadratcranky\n",
      "stunassured\n",
      "frequencywould\n",
      "ledgeindeed\n",
      "fixnumquicklime\n",
      "bismuthcolloquial\n",
      "tubingwheatear\n",
      "troubledseptum\n",
      "fattyoddball\n",
      "maintainwiggly\n",
      "cheapersyllable\n",
      "duexslt\n",
      "belchedsodding\n",
      "dweebspices\n",
      "historypant\n",
      "gammagot\n",
      "quadratcranky\n",
      "unbalancedprotoplanet\n",
      "spiritedjump\n",
      "neckedjre\n",
      "showerspain\n",
      "somethingalbedo\n",
      "allocatesposts\n",
      "popmatrices\n",
      "sociablelemma\n",
      "colonclipper\n",
      "decanterbalance\n",
      "ashamedmuscles\n",
      "lymphomamellow\n",
      "heaterinert\n",
      "duexslt\n",
      "neighborlyrook\n",
      "turnoverlovesick\n",
      "expecteffective\n",
      "feverspolystyrene\n",
      "quadratcranky\n",
      "peacefulceaseless\n",
      "frequencywould\n",
      "lymphomamellow\n",
      "rigelpaunchy\n",
      "compareas\n",
      "rigelpaunchy\n",
      "tubingwheatear\n",
      "swankythough\n",
      "poundingfrustum\n",
      "nursingrash\n",
      "micaassistant\n",
      "wisefumbling\n",
      "handywrist\n",
      "flinkjordan\n",
      "cranniescigarette\n",
      "impetuousfurbelows\n",
      "dronessomersault\n",
      "expecteffective\n",
      "impetuousfurbelows\n",
      "swankythough\n",
      "badgefields\n",
      "upbeatodd\n",
      "disjointtoday\n",
      "swankythough\n",
      "europiumcentury\n",
      "privacyhaunt\n",
      "sociablelemma\n",
      "gaudyfea\n",
      "smackswallow\n",
      "planktonuses\n",
      "souffleutility\n",
      "twitequiver\n",
      "figsql\n",
      "replacedbevy\n",
      "translatecyclist\n",
      "meggingswine\n",
      "allegatorwafers\n",
      "clucklinnet\n",
      "privacyhaunt\n",
      "duexslt\n",
      "planktonuses\n",
      "unguardedgiant\n",
      "souffleutility\n",
      "cartridgesbummage\n",
      "cuboidpass\n",
      "phobosstaccato\n",
      "carrionscream\n",
      "upbeatodd\n",
      "worldlyventuri\n",
      "belchedsodding\n",
      "axlevirtue\n",
      "craytugofwar\n",
      "gravelscientific\n",
      "agenascientists\n",
      "earmarinated\n",
      "binomialapathetic\n",
      "ellipticalfabricator\n",
      "ceilinjuries\n",
      "loindecorate\n",
      "souffleutility\n",
      "ischemicfrosted\n",
      "specifiedinnovative\n",
      "carrionscream\n",
      "heaterinert\n",
      "guavaconfide\n",
      "cuboidpass\n",
      "duexslt\n",
      "ceilinjuries\n",
      "alloweruptions\n",
      "radicandoceanic\n",
      "disjointtoday\n",
      "musicalchampagne\n",
      "gammagot\n",
      "handywrist\n",
      "croutonwrack\n",
      "amuckpoints\n",
      "driftmvc\n",
      "privacyhaunt\n",
      "backedammeter\n",
      "craytugofwar\n",
      "gaudyfea\n",
      "analbar\n",
      "micaassistant\n",
      "mtvgrosbeak\n",
      "cobolglaucous\n",
      "fundingticket\n",
      "handywrist\n",
      "pleasinghoop\n",
      "agenascientists\n",
      "phobosstaccato\n",
      "realtorcaustic\n",
      "gnarledbaggy\n",
      "xslhopeful\n",
      "barnevidence\n",
      "grabbig\n",
      "completionskylark\n",
      "burntrifle\n",
      "behaveterminal\n",
      "bismuthcolloquial\n",
      "ellipticalfabricator\n",
      "gnarledbaggy\n",
      "ashamedmuscles\n",
      "pipetsrockers\n",
      "rubbishbladder\n",
      "heomicron\n",
      "translatecyclist\n",
      "opticsdiameter\n",
      "dotwazzack\n",
      "opticsdiameter\n",
      "snowdonevasive\n",
      "expecteffective\n",
      "paddlevacuole\n",
      "burntrifle\n",
      "grabbig\n",
      "epsiloncloning\n",
      "binomialapathetic\n",
      "coatprecious\n",
      "wisefumbling\n",
      "easybobolink\n",
      "croutonwrack\n",
      "meatsoffbeat\n",
      "croutonwrack\n",
      "apronextension\n",
      "risottospell\n",
      "dronessomersault\n",
      "carrionscream\n",
      "analbar\n",
      "quadratcranky\n",
      "opticsdiameter\n",
      "showerspain\n",
      "driftmvc\n",
      "mincegaiters\n",
      "gilletteclammy\n",
      "gogglesknacker\n",
      "meatsoffbeat\n",
      "cranniescigarette\n",
      "bismuthcolloquial\n",
      "cheapersyllable\n",
      "babyambitious\n",
      "tyrespan\n",
      "namibianstabbing\n",
      "figsql\n",
      "dampedbrioche\n",
      "globeshameful\n",
      "mincegaiters\n",
      "fizzclimbing\n",
      "binomialapathetic\n",
      "flakyunlawful\n",
      "compareas\n",
      "heaterinert\n",
      "colonclipper\n",
      "buoyancycowardice\n",
      "micaassistant\n",
      "canalhateful\n",
      "bashrower\n",
      "actuallyfoot\n",
      "epsiloncloning\n",
      "tendonwench\n",
      "lymphomamellow\n",
      "axlevirtue\n",
      "guavaconfide\n",
      "lickerbond\n",
      "sectionssqueaky\n",
      "tyrespan\n",
      "cleaningburnt\n",
      "fizzclimbing\n",
      "ytterbiumprovincial\n",
      "ellipticalfabricator\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fundingticket\n",
      "impetuousfurbelows\n",
      "cuboidpass\n",
      "realtorcaustic\n",
      "singesculptor\n",
      "grabbig\n",
      "snowdonevasive\n",
      "rubbishbladder\n",
      "bracesworkable\n",
      "xslhopeful\n",
      "burntrifle\n",
      "showerspain\n",
      "burritoscarriage\n",
      "unbalancedprotoplanet\n",
      "radicandoceanic\n",
      "coatprecious\n",
      "upbeatodd\n",
      "horsesmultiply\n",
      "gravelscientific\n",
      "handywrist\n",
      "parallelconcerned\n",
      "neighborlyrook\n",
      "apronextension\n",
      "shrillbanjos\n",
      "nursingrash\n",
      "geologybeeping\n",
      "showerspain\n",
      "realtorcaustic\n",
      "bunchmeats\n",
      "wordsundress\n",
      "trapdoormongrel\n",
      "looroasting\n",
      "farrowcetti\n",
      "carrionscream\n",
      "bismuthcolloquial\n",
      "earmarinated\n",
      "neighborlyrook\n",
      "binomialapathetic\n",
      "colonclipper\n",
      "xslhopeful\n",
      "burntrifle\n",
      "paddlevacuole\n",
      "apronextension\n",
      "somethingalbedo\n",
      "hoovessquares\n",
      "moderatohorn\n",
      "hoursethanoate\n",
      "strungebay\n",
      "burntrifle\n",
      "deficientclunking\n",
      "historypant\n",
      "axlevirtue\n",
      "replacedbevy\n",
      "gilletteclammy\n",
      "earmarinated\n",
      "casesslippery\n",
      "buoyancycowardice\n",
      "blythpulse\n",
      "wordsundress\n",
      "buoyancycowardice\n",
      "turnoverlovesick\n",
      "stylishmugs\n",
      "expecteffective\n",
      "loindecorate\n",
      "advisorlanguage\n",
      "namibianstabbing\n",
      "raggedshrink\n",
      "croutonwrack\n",
      "binomialapathetic\n",
      "instantthwack\n",
      "bonelliseal\n",
      "cartridgesbummage\n",
      "flakyunlawful\n",
      "musicalchampagne\n",
      "mtvgrosbeak\n",
      "rubbishbladder\n",
      "burntrifle\n",
      "looroasting\n",
      "snowdonevasive\n",
      "showerspain\n",
      "metaiota\n",
      "twitequiver\n",
      "amuckpoints\n",
      "binomialapathetic\n",
      "sociablelemma\n",
      "unbalancedprotoplanet\n",
      "cranniescigarette\n",
      "snaildossier\n",
      "decanterbalance\n",
      "expecteffective\n",
      "producecoven\n",
      "eminentallergy\n",
      "flakyunlawful\n",
      "worldlyventuri\n",
      "strungebay\n",
      "gilletteclammy\n",
      "tendonwench\n",
      "emeraldclippers\n",
      "gruntdrive\n",
      "dweebspices\n",
      "poundingfrustum\n",
      "fizzclimbing\n",
      "flinkjordan\n",
      "parallelconcerned\n",
      "wisefumbling\n",
      "fattyoddball\n",
      "elatedunicorn\n",
      "unbalancedprotoplanet\n",
      "frequencywould\n",
      "swankythough\n",
      "cuboidpass\n",
      "grabbig\n",
      "duexslt\n",
      "realtorcaustic\n",
      "microwavejar\n",
      "canalhateful\n",
      "wisefumbling\n",
      "moderatohorn\n",
      "amuckpoints\n",
      "chiselleddessicants\n",
      "ytterbiumprovincial\n",
      "frequencywould\n",
      "stylishmugs\n",
      "upbeatodd\n",
      "cartridgesbummage\n",
      "tubingwheatear\n",
      "expecteffective\n",
      "badgefields\n",
      "eminentallergy\n",
      "ashamedmuscles\n",
      "neckedjre\n",
      "somethingalbedo\n",
      "easybobolink\n",
      "earmarinated\n",
      "handywrist\n",
      "craytugofwar\n",
      "bonelliseal\n",
      "belchedsodding\n",
      "ellipticalfabricator\n",
      "decanterbalance\n",
      "upbeatodd\n",
      "worldlyventuri\n",
      "dampedbrioche\n",
      "alloweruptions\n",
      "cranesurgeon\n",
      "copalinstruct\n",
      "flinkjordan\n",
      "phobosstaccato\n",
      "badgefields\n",
      "buoyancycowardice\n",
      "cheapersyllable\n",
      "disjointtoday\n",
      "amuckpoints\n",
      "stunassured\n",
      "pipetsrockers\n",
      "translatecyclist\n",
      "micaassistant\n",
      "meggingswine\n",
      "ashamedmuscles\n",
      "neighborlyrook\n",
      "ashamedmuscles\n",
      "tyrespan\n",
      "craytugofwar\n",
      "actuallyfoot\n",
      "eontop\n",
      "radicandoceanic\n",
      "elatedunicorn\n",
      "poohvireo\n",
      "lickerbond\n",
      "surmiseteenagers\n",
      "driftmvc\n",
      "fundingticket\n",
      "behaveterminal\n",
      "synonympatisserie\n",
      "ischemicfrosted\n",
      "decanterbalance\n",
      "cheapersyllable\n",
      "epsiloncloning\n",
      "frequencywould\n",
      "pipetsrockers\n",
      "popmatrices\n",
      "grabbig\n",
      "gogglesknacker\n",
      "buoyancycowardice\n",
      "alloweruptions\n",
      "freelysociable\n",
      "neckedjre\n",
      "translatecyclist\n",
      "clucklinnet\n",
      "compareas\n",
      "planktonuses\n",
      "peacefulceaseless\n",
      "ytterbiumprovincial\n",
      "bunchmeats\n",
      "mtvgrosbeak\n",
      "easybobolink\n",
      "backedammeter\n",
      "eminentallergy\n",
      "lymphomamellow\n",
      "driftmvc\n",
      "twitequiver\n",
      "ischemicfrosted\n",
      "flickcanapes\n",
      "rigelpaunchy\n",
      "metaiota\n",
      "snowdonevasive\n",
      "snaildossier\n",
      "realtorcaustic\n",
      "feverspolystyrene\n",
      "eminentallergy\n",
      "evaporatingplug\n",
      "snaildossier\n",
      "popmatrices\n",
      "hoovessquares\n",
      "pipetsrockers\n",
      "unguardedgiant\n",
      "decanterbalance\n",
      "horsesmultiply\n",
      "cowardlyabout\n",
      "neckedjre\n",
      "gammagot\n",
      "planktonuses\n",
      "upbeatodd\n",
      "gruntdrive\n",
      "advisorlanguage\n",
      "ashamedmuscles\n",
      "expecteffective\n",
      "producecoven\n",
      "neighborlyrook\n",
      "instantthwack\n",
      "belchedsodding\n",
      "unguardedgiant\n",
      "sectionssqueaky\n",
      "cuboidpass\n",
      "twitequiver\n",
      "impetuousfurbelows\n",
      "ledgeindeed\n",
      "smackswallow\n",
      "unicyclistamiable\n",
      "compareas\n",
      "loindecorate\n",
      "ceilinjuries\n",
      "snowdonevasive\n",
      "opticsdiameter\n",
      "planktonuses\n",
      "mtvgrosbeak\n",
      "ashamedmuscles\n",
      "dotwazzack\n",
      "stunassured\n",
      "rigelpaunchy\n",
      "binomialapathetic\n",
      "axlevirtue\n",
      "globeshameful\n",
      "eontop\n",
      "duexslt\n",
      "carrionscream\n",
      "dotwazzack\n",
      "dotwazzack\n",
      "maintainwiggly\n",
      "epsiloncloning\n",
      "blythpulse\n",
      "maintainwiggly\n",
      "poohvireo\n",
      "disjointtoday\n",
      "troubledseptum\n",
      "dronessomersault\n",
      "cuboidpass\n",
      "stylishmugs\n",
      "carrionscream\n",
      "producecoven\n",
      "compareas\n",
      "maintainwiggly\n",
      "wisefumbling\n",
      "historypant\n",
      "tubingwheatear\n",
      "xslhopeful\n",
      "stairsgobsmacked\n",
      "twitequiver\n",
      "paddlevacuole\n",
      "epsiloncloning\n",
      "ytterbiumprovincial\n",
      "metaiota\n",
      "specifiedinnovative\n",
      "replacedbevy\n",
      "rigelpaunchy\n",
      "actuallyfoot\n",
      "ytterbiumprovincial\n",
      "flakyunlawful\n",
      "globeshameful\n",
      "eminentallergy\n",
      "raggedshrink\n",
      "ashamedmuscles\n",
      "horsesmultiply\n",
      "planktonuses\n",
      "figsql\n",
      "souffleutility\n",
      "unicyclistamiable\n",
      "meatsoffbeat\n",
      "showerspain\n",
      "musicalchampagne\n",
      "microwavejar\n",
      "cowardlyabout\n",
      "driftmvc\n",
      "neckedjre\n",
      "surmiseteenagers\n",
      "unguardedgiant\n",
      "gilletteclammy\n",
      "coatprecious\n",
      "neckedjre\n",
      "fattyoddball\n",
      "moderatohorn\n",
      "easybobolink\n",
      "clucklinnet\n",
      "casesslippery\n",
      "burntrifle\n",
      "gammagot\n",
      "fundingticket\n",
      "behaviourverbena\n",
      "namibianstabbing\n",
      "simplicityfairy\n",
      "actuallyfoot\n",
      "applyingbaker\n",
      "deficientclunking\n",
      "showerspain\n",
      "cranesurgeon\n",
      "troubledseptum\n",
      "replacedbevy\n",
      "realtorcaustic\n",
      "langeredsubset\n",
      "carrionscream\n",
      "souffleutility\n",
      "gogglesknacker\n",
      "unguardedgiant\n",
      "cowardlyabout\n",
      "simplicityfairy\n",
      "ellipticalfabricator\n",
      "ledgeindeed\n",
      "gammagot\n",
      "colonclipper\n",
      "smackswallow\n",
      "submittedwavelength\n",
      "meatsoffbeat\n",
      "canalhateful\n",
      "cleaningburnt\n",
      "hoovessquares\n",
      "twitequiver\n",
      "rigelpaunchy\n",
      "hoovessquares\n",
      "nursingrash\n",
      "wonderfulscullian\n",
      "twitequiver\n",
      "cleaningburnt\n",
      "synonympatisserie\n",
      "analbar\n",
      "neckedjre\n",
      "behaviourverbena\n",
      "epsiloncloning\n",
      "historypant\n",
      "behaviourverbena\n",
      "heomicron\n",
      "barnevidence\n",
      "disjointtoday\n",
      "axlevirtue\n",
      "spiritedjump\n",
      "lymphomamellow\n",
      "amuckpoints\n",
      "popmatrices\n",
      "fizzclimbing\n",
      "souffleutility\n",
      "burntrifle\n",
      "strungebay\n",
      "apronextension\n",
      "peacefulceaseless\n",
      "bunchmeats\n",
      "chiselleddessicants\n",
      "hoursethanoate\n",
      "cranniescigarette\n",
      "gruntdrive\n",
      "pancakesgrebe\n",
      "ledgeindeed\n",
      "horsesmultiply\n",
      "cranniescigarette\n",
      "langeredsubset\n",
      "impetuousfurbelows\n",
      "sortinterior\n",
      "amuckpoints\n",
      "heomicron\n",
      "mincegaiters\n",
      "apronextension\n",
      "wisefumbling\n",
      "trapdoormongrel\n",
      "ellipticalfabricator\n",
      "carrionscream\n",
      "translatecyclist\n",
      "pleasinghoop\n",
      "tyrespan\n",
      "twitequiver\n",
      "colonclipper\n",
      "deficientclunking\n",
      "swankythough\n",
      "burritoscarriage\n",
      "flakyunlawful\n",
      "easybobolink\n",
      "coatprecious\n",
      "expecteffective\n",
      "troubledseptum\n",
      "upbeatodd\n",
      "submittedwavelength\n",
      "troubledseptum\n",
      "upbeatodd\n",
      "listenerabandoned\n",
      "phobosstaccato\n",
      "ellipticalfabricator\n",
      "starbucksbluetail\n",
      "risottospell\n",
      "batchquickest\n",
      "feverspolystyrene\n",
      "musicalchampagne\n",
      "fizzclimbing\n",
      "fizzlehelp\n",
      "emeraldclippers\n",
      "handywrist\n",
      "mtvgrosbeak\n",
      "horsesmultiply\n",
      "easybobolink\n",
      "sociablelemma\n",
      "specifiedinnovative\n",
      "twitequiver\n",
      "privacyhaunt\n",
      "tweezerscurve\n",
      "translatecyclist\n",
      "colonclipper\n",
      "burritoscarriage\n",
      "translatecyclist\n",
      "stairsgobsmacked\n",
      "clucklinnet\n",
      "ashamedmuscles\n",
      "unbalancedprotoplanet\n",
      "eontop\n",
      "poundingfrustum\n",
      "stunassured\n",
      "ytterbiumprovincial\n",
      "lasttaiga\n",
      "specifiedinnovative\n",
      "producecoven\n",
      "belchedsodding\n",
      "completionskylark\n",
      "unguardedgiant\n",
      "duexslt\n",
      "advisorlanguage\n",
      "binomialapathetic\n",
      "ytterbiumprovincial\n",
      "gnarledbaggy\n",
      "emeraldclippers\n",
      "chichazard\n",
      "strungebay\n",
      "backedammeter\n",
      "fizzclimbing\n",
      "chichazard\n",
      "tweezerscurve\n",
      "ischemicfrosted\n",
      "maintainwiggly\n",
      "lickerbond\n",
      "bonelliseal\n",
      "cleaningburnt\n",
      "decanterbalance\n",
      "alloweruptions\n",
      "easybobolink\n",
      "horsesmultiply\n",
      "popmatrices\n",
      "coatprecious\n",
      "phobosstaccato\n",
      "amuckpoints\n",
      "globeshameful\n",
      "trapdoormongrel\n",
      "fizzlehelp\n",
      "backedammeter\n",
      "bashrower\n",
      "gammagot\n",
      "advisorlanguage\n",
      "duexslt\n",
      "translatecyclist\n",
      "radicandoceanic\n",
      "advisorlanguage\n",
      "emeraldclippers\n",
      "fundingticket\n",
      "agenascientists\n",
      "parallelconcerned\n",
      "farrowcetti\n",
      "risottospell\n",
      "unicyclistamiable\n",
      "evaporatingplug\n",
      "figsql\n",
      "instantthwack\n",
      "cleaningburnt\n",
      "hypergalaxyfibula\n",
      "risottospell\n",
      "simplicityfairy\n",
      "heaterinert\n",
      "sectionssqueaky\n",
      "poohvireo\n",
      "frequencywould\n",
      "cranniescigarette\n",
      "easybobolink\n",
      "rigelpaunchy\n",
      "allegatorwafers\n",
      "epsiloncloning\n",
      "ledgeindeed\n",
      "lasttaiga\n",
      "cleaningburnt\n",
      "earmarinated\n",
      "cowardlyabout\n",
      "bracesworkable\n",
      "ytterbiumprovincial\n",
      "peacefulceaseless\n",
      "duexslt\n",
      "heaterinert\n",
      "singesculptor\n",
      "swankythough\n",
      "advisorlanguage\n",
      "deficientclunking\n",
      "pipetsrockers\n",
      "copalinstruct\n",
      "ashamedmuscles\n",
      "stairsgobsmacked\n",
      "canalhateful\n",
      "worldlyventuri\n",
      "smackswallow\n",
      "guavaconfide\n",
      "pipetsrockers\n",
      "blythpulse\n",
      "impetuousfurbelows\n",
      "copalinstruct\n",
      "impetuousfurbelows\n",
      "cowardlyabout\n",
      "paddlevacuole\n",
      "unicyclistamiable\n",
      "burntrifle\n",
      "stairsgobsmacked\n",
      "producecoven\n",
      "poundingfrustum\n",
      "paddlevacuole\n",
      "moderatohorn\n",
      "rubbishbladder\n",
      "croutonwrack\n",
      "agenascientists\n",
      "croutonwrack\n",
      "bluetailgodwottery\n",
      "craytugofwar\n",
      "expecteffective\n",
      "heomicron\n",
      "phobosstaccato\n",
      "actuallyfoot\n",
      "croutonwrack\n",
      "dweebspices\n",
      "gaudyfea\n",
      "feverspolystyrene\n",
      "disjointtoday\n",
      "namibianstabbing\n",
      "shrillbanjos\n",
      "strungebay\n",
      "emeraldclippers\n",
      "hypergalaxyfibula\n",
      "translatecyclist\n",
      "gogglesknacker\n",
      "surmiseteenagers\n",
      "singesculptor\n",
      "producecoven\n",
      "pleasinghoop\n",
      "craytugofwar\n",
      "completionskylark\n",
      "replacedbevy\n",
      "dotwazzack\n",
      "planktonuses\n",
      "privacyhaunt\n",
      "disjointtoday\n",
      "simplicityfairy\n",
      "sectionssqueaky\n",
      "lasttaiga\n",
      "ytterbiumprovincial\n",
      "mtvgrosbeak\n",
      "producecoven\n",
      "freelysociable\n",
      "gravelscientific\n",
      "swankythough\n",
      "behaveterminal\n",
      "flakyunlawful\n",
      "phobosstaccato\n",
      "synonympatisserie\n",
      "dampedbrioche\n",
      "snaildossier\n",
      "applyingbaker\n",
      "pipetsrockers\n",
      "duexslt\n",
      "pleasinghoop\n",
      "radicandoceanic\n",
      "cheapersyllable\n",
      "flickcanapes\n",
      "pipeathlete\n",
      "tweezerscurve\n",
      "belchedsodding\n",
      "bluetailgodwottery\n",
      "tweezerscurve\n",
      "ellipticalfabricator\n",
      "gogglesknacker\n",
      "gruntdrive\n",
      "surmiseteenagers\n",
      "badgefields\n",
      "unbalancedprotoplanet\n",
      "twitequiver\n",
      "advisorlanguage\n",
      "cartridgesbummage\n",
      "musicalchampagne\n",
      "souffleutility\n",
      "looroasting\n",
      "farrowcetti\n",
      "cuboidpass\n",
      "quadratcranky\n",
      "bonelliseal\n",
      "pipeathlete\n",
      "poundingfrustum\n",
      "gaudyfea\n",
      "souffleutility\n",
      "stylishmugs\n",
      "swankythough\n",
      "meatsoffbeat\n",
      "impetuousfurbelows\n",
      "upbeatodd\n",
      "apronextension\n",
      "chichazard\n",
      "popmatrices\n",
      "popmatrices\n",
      "opticsdiameter\n",
      "lickerbond\n",
      "flickcanapes\n",
      "cartridgesbummage\n",
      "globeshameful\n",
      "coatprecious\n",
      "raggedshrink\n",
      "namibianstabbing\n",
      "gruntdrive\n",
      "shrillbanjos\n",
      "bonelliseal\n",
      "dweebspices\n",
      "cranniescigarette\n",
      "organicmajor\n",
      "musicalchampagne\n",
      "radicandoceanic\n",
      "fizzclimbing\n",
      "souffleutility\n",
      "pancakesgrebe\n",
      "microwavejar\n",
      "privacyhaunt\n",
      "flakyunlawful\n",
      "horsesmultiply\n",
      "batchquickest\n",
      "completionskylark\n",
      "hoursethanoate\n",
      "copalinstruct\n",
      "feverspolystyrene\n",
      "freelysociable\n",
      "cheapersyllable\n",
      "expecteffective\n",
      "compareas\n",
      "decanterbalance\n",
      "burritoscarriage\n",
      "gilletteclammy\n",
      "wisefumbling\n",
      "emeraldclippers\n",
      "lasttaiga\n",
      "gaudyfea\n",
      "eminentallergy\n",
      "poohvireo\n",
      "somethingalbedo\n",
      "blythpulse\n",
      "paddlevacuole\n",
      "popmatrices\n",
      "translatecyclist\n",
      "quadratcranky\n",
      "evaporatingplug\n",
      "pleasinghoop\n",
      "flinkjordan\n",
      "producecoven\n",
      "bismuthcolloquial\n",
      "flinkjordan\n",
      "souffleutility\n",
      "backedammeter\n",
      "meggingswine\n",
      "ellipticalfabricator\n",
      "microwavejar\n",
      "unguardedgiant\n",
      "neckedjre\n",
      "heaterinert\n",
      "sociablelemma\n",
      "gnarledbaggy\n",
      "looroasting\n",
      "synonympatisserie\n",
      "bashrower\n",
      "babyambitious\n",
      "disjointtoday\n",
      "phobosstaccato\n",
      "cobolglaucous\n",
      "axlevirtue\n",
      "hoursethanoate\n",
      "horsesmultiply\n",
      "easybobolink\n",
      "ceilinjuries\n",
      "hoursethanoate\n",
      "spiritedjump\n",
      "axlevirtue\n",
      "singesculptor\n",
      "microwavejar\n",
      "twitequiver\n",
      "epsiloncloning\n",
      "gilletteclammy\n",
      "gnarledbaggy\n",
      "deficientclunking\n",
      "shrillbanjos\n",
      "eminentallergy\n",
      "buoyancycowardice\n",
      "bismuthcolloquial\n",
      "simplicityfairy\n",
      "twitequiver\n",
      "applyingbaker\n",
      "horsesmultiply\n",
      "allocatesposts\n",
      "stylishmugs\n",
      "handywrist\n",
      "emeraldclippers\n",
      "binomialapathetic\n",
      "pipetsrockers\n",
      "babyambitious\n",
      "decanterbalance\n",
      "flickcanapes\n",
      "frequencywould\n",
      "driftmvc\n",
      "advisorlanguage\n",
      "babyambitious\n",
      "smackswallow\n",
      "bracesworkable\n",
      "apronextension\n",
      "babyambitious\n",
      "flinkjordan\n",
      "advisorlanguage\n",
      "hoursethanoate\n",
      "cranesurgeon\n",
      "sociablelemma\n",
      "elatedunicorn\n",
      "binomialapathetic\n",
      "snaildossier\n",
      "wordsundress\n",
      "quadratcranky\n",
      "popmatrices\n",
      "shrillbanjos\n",
      "badgefields\n",
      "ledgeindeed\n",
      "pipetsrockers\n",
      "moderatohorn\n",
      "cleaningburnt\n",
      "souffleutility\n",
      "fizzclimbing\n",
      "geologybeeping\n",
      "gruntdrive\n",
      "burntrifle\n",
      "gaudyfea\n",
      "worldlyventuri\n",
      "pipeathlete\n",
      "bashrower\n",
      "pleasinghoop\n",
      "quadratcranky\n",
      "poohvireo\n",
      "looroasting\n",
      "ceilinjuries\n",
      "unicyclistamiable\n",
      "trapdoormongrel\n",
      "heaterinert\n",
      "gaudyfea\n",
      "loindecorate\n",
      "latticelaboratory\n",
      "allocatesposts\n",
      "troubledseptum\n",
      "tendonwench\n",
      "snowdonevasive\n",
      "cranesurgeon\n",
      "snaildossier\n",
      "rappelarias\n",
      "easybobolink\n",
      "europiumcentury\n",
      "chiselleddessicants\n",
      "namibianstabbing\n",
      "croutonwrack\n",
      "grabbig\n",
      "batchquickest\n",
      "badgefields\n",
      "simplicityfairy\n",
      "cleaningburnt\n",
      "troubledseptum\n",
      "coatprecious\n",
      "meggingswine\n",
      "clucklinnet\n",
      "batchquickest\n",
      "bashrower\n",
      "dronessomersault\n",
      "easybobolink\n",
      "colonclipper\n",
      "unguardedgiant\n",
      "eminentallergy\n",
      "souffleutility\n",
      "pipeathlete\n",
      "gnarledbaggy\n",
      "synonympatisserie\n",
      "advisorlanguage\n",
      "lasttaiga\n",
      "apronextension\n",
      "bracesworkable\n",
      "turnoverlovesick\n",
      "behaveterminal\n",
      "amuckpoints\n",
      "bluetailgodwottery\n",
      "bluetailgodwottery\n",
      "cowardlyabout\n",
      "coatprecious\n",
      "mtvgrosbeak\n",
      "figsql\n",
      "dweebspices\n",
      "bismuthcolloquial\n",
      "hypergalaxyfibula\n",
      "eontop\n",
      "namibianstabbing\n",
      "flakyunlawful\n",
      "bunchmeats\n",
      "cleaningburnt\n",
      "poundingfrustum\n",
      "handywrist\n",
      "flinkjordan\n",
      "coatprecious\n",
      "nursingrash\n",
      "actuallyfoot\n",
      "wonderfulscullian\n",
      "trapdoormongrel\n",
      "bluetailgodwottery\n",
      "flakyunlawful\n",
      "behaviourverbena\n",
      "flinkjordan\n",
      "emeraldclippers\n",
      "trapdoormongrel\n",
      "producecoven\n",
      "snaildossier\n",
      "starbucksbluetail\n",
      "starbucksbluetail\n",
      "cuboidpass\n",
      "evaporatingplug\n",
      "unguardedgiant\n",
      "copalinstruct\n",
      "bluetailgodwottery\n",
      "risottospell\n",
      "badgefields\n",
      "snaildossier\n",
      "submittedwavelength\n",
      "translatecyclist\n",
      "easybobolink\n",
      "musicalchampagne\n",
      "gammagot\n",
      "crepegrape\n",
      "parallelconcerned\n",
      "burritoscarriage\n",
      "dampedbrioche\n",
      "starbucksbluetail\n",
      "neckedjre\n",
      "realtorcaustic\n",
      "fundingticket\n",
      "gnarledbaggy\n",
      "hoursethanoate\n",
      "specifiedinnovative\n",
      "advisorlanguage\n",
      "decanterbalance\n",
      "wonderfulscullian\n",
      "bismuthcolloquial\n",
      "copalinstruct\n",
      "bonelliseal\n",
      "badgefields\n",
      "compareas\n",
      "canalhateful\n",
      "wordsundress\n",
      "risottospell\n",
      "burntrifle\n",
      "horsesmultiply\n",
      "fizzlehelp\n",
      "dronessomersault\n",
      "evaporatingplug\n",
      "freelysociable\n",
      "heomicron\n",
      "submittedwavelength\n",
      "sectionssqueaky\n",
      "turnoverlovesick\n",
      "dotwazzack\n",
      "casesslippery\n",
      "decanterbalance\n",
      "expecteffective\n",
      "translatecyclist\n",
      "axlevirtue\n",
      "twitequiver\n",
      "heaterinert\n",
      "quadratcranky\n",
      "showerspain\n",
      "ellipticalfabricator\n",
      "maintainwiggly\n",
      "handywrist\n",
      "frequencywould\n",
      "worldlyventuri\n",
      "maintainwiggly\n",
      "crepegrape\n",
      "analbar\n",
      "ellipticalfabricator\n",
      "fizzlehelp\n",
      "freelysociable\n",
      "expecteffective\n",
      "parallelconcerned\n",
      "binomialapathetic\n",
      "hoursethanoate\n",
      "stunassured\n",
      "globeshameful\n",
      "badgefields\n",
      "copalinstruct\n",
      "alloweruptions\n",
      "gilletteclammy\n",
      "privacyhaunt\n",
      "croutonwrack\n",
      "grabbig\n",
      "organicmajor\n",
      "ashamedmuscles\n",
      "pipeathlete\n",
      "ashamedmuscles\n",
      "metaiota\n",
      "cheapersyllable\n",
      "actuallyfoot\n",
      "spiritedjump\n",
      "flinkjordan\n",
      "casesslippery\n",
      "emeraldclippers\n",
      "langeredsubset\n",
      "cowardlyabout\n",
      "wordsundress\n",
      "specifiedinnovative\n",
      "instantthwack\n",
      "realtorcaustic\n",
      "epsiloncloning\n",
      "globeshameful\n",
      "hypergalaxyfibula\n",
      "quadratcranky\n",
      "meatsoffbeat\n",
      "clucklinnet\n",
      "freelysociable\n",
      "belchedsodding\n",
      "hoursethanoate\n",
      "pancakesgrebe\n",
      "opticsdiameter\n",
      "craytugofwar\n",
      "hypergalaxyfibula\n",
      "singesculptor\n",
      "unguardedgiant\n",
      "frequencywould\n",
      "privacyhaunt\n",
      "apronextension\n",
      "unbalancedprotoplanet\n",
      "snowdonevasive\n",
      "ashamedmuscles\n",
      "xslhopeful\n",
      "fattyoddball\n",
      "turnoverlovesick\n",
      "phobosstaccato\n",
      "deficientclunking\n",
      "ellipticalfabricator\n",
      "peacefulceaseless\n",
      "bracesworkable\n",
      "strungebay\n",
      "sortinterior\n",
      "dampedbrioche\n",
      "bunchmeats\n",
      "unguardedgiant\n",
      "guavaconfide\n",
      "snowdonevasive\n",
      "burritoscarriage\n",
      "radicandoceanic\n",
      "alloweruptions\n",
      "casesslippery\n",
      "producecoven\n",
      "troubledseptum\n",
      "flickcanapes\n",
      "flinkjordan\n",
      "tweezerscurve\n",
      "producecoven\n",
      "completionskylark\n",
      "bashrower\n",
      "epsiloncloning\n",
      "instantthwack\n",
      "compareas\n",
      "impetuousfurbelows\n",
      "privacyhaunt\n",
      "looroasting\n",
      "microwavejar\n",
      "impetuousfurbelows\n",
      "planktonuses\n",
      "raggedshrink\n",
      "behaveterminal\n",
      "ledgeindeed\n",
      "colonclipper\n",
      "radicandoceanic\n",
      "expecteffective\n",
      "lasttaiga\n",
      "tubingwheatear\n",
      "ellipticalfabricator\n",
      "bluetailgodwottery\n",
      "risottospell\n",
      "behaveterminal\n",
      "lymphomamellow\n",
      "hoovessquares\n",
      "lasttaiga\n",
      "blythpulse\n",
      "pipeathlete\n",
      "clucklinnet\n",
      "somethingalbedo\n",
      "fattyoddball\n",
      "upbeatodd\n",
      "hoovessquares\n",
      "flakyunlawful\n",
      "microwavejar\n",
      "cowardlyabout\n",
      "disjointtoday\n",
      "figsql\n",
      "amuckpoints\n",
      "trapdoormongrel\n",
      "figsql\n",
      "burritoscarriage\n",
      "clucklinnet\n",
      "clucklinnet\n",
      "bunchmeats\n",
      "snaildossier\n",
      "namibianstabbing\n",
      "listenerabandoned\n",
      "lasttaiga\n",
      "eminentallergy\n",
      "looroasting\n",
      "babyambitious\n",
      "fixnumquicklime\n",
      "trapdoormongrel\n",
      "fixnumquicklime\n",
      "micaassistant\n",
      "badgefields\n",
      "bracesworkable\n",
      "snowdonevasive\n",
      "xslhopeful\n",
      "loindecorate\n",
      "pipetsrockers\n",
      "tubingwheatear\n",
      "ashamedmuscles\n",
      "gaudyfea\n",
      "alloweruptions\n",
      "actuallyfoot\n",
      "copalinstruct\n",
      "cheapersyllable\n",
      "disjointtoday\n",
      "grabbig\n",
      "cheapersyllable\n",
      "hoovessquares\n",
      "hypergalaxyfibula\n",
      "translatecyclist\n",
      "barnevidence\n",
      "unicyclistamiable\n",
      "blythpulse\n",
      "producecoven\n",
      "stylishmugs\n",
      "driftmvc\n",
      "eontop\n",
      "burntrifle\n",
      "burntrifle\n",
      "planktonuses\n",
      "pipetsrockers\n",
      "spiritedjump\n",
      "poohvireo\n",
      "horsesmultiply\n",
      "surmiseteenagers\n",
      "planktonuses\n",
      "barnevidence\n",
      "clucklinnet\n",
      "radicandoceanic\n",
      "simplicityfairy\n",
      "sectionssqueaky\n",
      "ellipticalfabricator\n",
      "ceilinjuries\n",
      "dweebspices\n",
      "alloweruptions\n",
      "easybobolink\n",
      "blythpulse\n",
      "flinkjordan\n",
      "turnoverlovesick\n",
      "elatedunicorn\n",
      "globeshameful\n",
      "gaudyfea\n",
      "spiritedjump\n",
      "copalinstruct\n",
      "singesculptor\n",
      "clucklinnet\n",
      "flickcanapes\n",
      "flakyunlawful\n",
      "fizzclimbing\n",
      "gaudyfea\n",
      "burntrifle\n",
      "planktonuses\n",
      "evaporatingplug\n",
      "rigelpaunchy\n",
      "badgefields\n",
      "neckedjre\n",
      "sociablelemma\n",
      "unbalancedprotoplanet\n",
      "actuallyfoot\n",
      "fizzlehelp\n",
      "flickcanapes\n",
      "snowdonevasive\n",
      "sociablelemma\n",
      "alloweruptions\n",
      "sociablelemma\n",
      "earmarinated\n",
      "bluetailgodwottery\n",
      "looroasting\n",
      "completionskylark\n",
      "bunchmeats\n",
      "batchquickest\n",
      "cobolglaucous\n",
      "pancakesgrebe\n",
      "agenascientists\n",
      "somethingalbedo\n",
      "heomicron\n",
      "organicmajor\n",
      "latticelaboratory\n",
      "sortinterior\n",
      "easybobolink\n",
      "producecoven\n",
      "badgefields\n",
      "ashamedmuscles\n",
      "bonelliseal\n",
      "pancakesgrebe\n",
      "bonelliseal\n",
      "specifiedinnovative\n",
      "driftmvc\n",
      "burntrifle\n",
      "analbar\n",
      "craytugofwar\n",
      "smackswallow\n",
      "cartridgesbummage\n",
      "cartridgesbummage\n",
      "heaterinert\n",
      "spiritedjump\n",
      "rigelpaunchy\n",
      "musicalchampagne\n",
      "sociablelemma\n",
      "behaviourverbena\n",
      "wisefumbling\n",
      "unguardedgiant\n",
      "guavaconfide\n",
      "impetuousfurbelows\n",
      "expecteffective\n",
      "dotwazzack\n",
      "translatecyclist\n",
      "ledgeindeed\n",
      "replacedbevy\n",
      "planktonuses\n",
      "meatsoffbeat\n",
      "opticsdiameter\n",
      "globeshameful\n",
      "ellipticalfabricator\n",
      "stunassured\n",
      "fizzlehelp\n",
      "langeredsubset\n",
      "chiselleddessicants\n",
      "colonclipper\n",
      "decanterbalance\n",
      "strungebay\n",
      "bunchmeats\n",
      "twitequiver\n",
      "gruntdrive\n",
      "sortinterior\n",
      "cartridgesbummage\n",
      "fattyoddball\n",
      "figsql\n",
      "axlevirtue\n",
      "turnoverlovesick\n",
      "rappelarias\n",
      "instantthwack\n",
      "meatsoffbeat\n",
      "behaveterminal\n",
      "pleasinghoop\n",
      "raggedshrink\n",
      "souffleutility\n",
      "strungebay\n",
      "alloweruptions\n",
      "moderatohorn\n",
      "carrionscream\n",
      "pipetsrockers\n",
      "realtorcaustic\n",
      "blythpulse\n",
      "realtorcaustic\n",
      "privacyhaunt\n",
      "emeraldclippers\n",
      "fixnumquicklime\n",
      "sectionssqueaky\n",
      "earmarinated\n",
      "lickerbond\n",
      "fixnumquicklime\n",
      "badgefields\n",
      "nursingrash\n",
      "pancakesgrebe\n",
      "nursingrash\n",
      "ellipticalfabricator\n",
      "amuckpoints\n",
      "craytugofwar\n",
      "applyingbaker\n",
      "geologybeeping\n",
      "snaildossier\n",
      "hoovessquares\n",
      "eminentallergy\n",
      "eontop\n",
      "heaterinert\n",
      "rubbishbladder\n",
      "actuallyfoot\n",
      "rappelarias\n",
      "musicalchampagne\n",
      "pleasinghoop\n",
      "chichazard\n",
      "strungebay\n",
      "phobosstaccato\n",
      "sectionssqueaky\n",
      "axlevirtue\n",
      "unicyclistamiable\n",
      "sortinterior\n",
      "risottospell\n",
      "troubledseptum\n",
      "troubledseptum\n",
      "organicmajor\n",
      "cobolglaucous\n",
      "troubledseptum\n",
      "snaildossier\n",
      "unbalancedprotoplanet\n",
      "badgefields\n",
      "backedammeter\n",
      "clucklinnet\n"
     ]
    }
   ],
   "source": [
    "!cut -f1 -d','  data/users.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's a lot of output. Let's combine the `cut` command with the `head` command by _piping_ the output of one command into another one,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "actuallyfoot\n",
      "allegatorwafers\n",
      "alloweruptions\n",
      "amuckpoints\n",
      "amuckpoints\n",
      "babyambitious\n",
      "badgefields\n",
      "barnevidence\n",
      "belchedsodding\n",
      "binomialapathetic\n",
      "bluetailgodwottery\n",
      "bracesworkable\n",
      "burritoscarriage\n",
      "clucklinnet\n",
      "cobolglaucous\n",
      "colonclipper\n",
      "cranesurgeon\n",
      "craytugofwar\n",
      "croutonwrack\n",
      "croutonwrack\n",
      "decanterbalance\n",
      "driftmvc\n",
      "dronessomersault\n",
      "dweebspices\n",
      "elatedunicorn\n",
      "ellipticalfabricator\n",
      "emeraldclippers\n",
      "emeraldclippers\n",
      "eontop\n",
      "expecteffective\n",
      "figsql\n",
      "flakyunlawful\n",
      "freelysociable\n",
      "fundingticket\n",
      "gaudyfea\n",
      "globeshameful\n",
      "globeshameful\n",
      "grabbig\n",
      "guavaconfide\n",
      "heaterinert\n",
      "horsesmultiply\n",
      "hypergalaxyfibula\n",
      "ischemicfrosted\n",
      "latticelaboratory\n",
      "latticelaboratory\n",
      "ledgeindeed\n",
      "loindecorate\n",
      "maintainwiggly\n",
      "micaassistant\n",
      "micaassistant\n",
      "microwavejar\n",
      "microwavejar\n",
      "mincegaiters\n",
      "moderatohorn\n",
      "parallelconcerned\n",
      "peacefulceaseless\n",
      "pipeathlete\n",
      "pipeathlete\n",
      "pipetsrockers\n",
      "pipetsrockers\n",
      "radicandoceanic\n",
      "showerspain\n",
      "snaildossier\n",
      "snowdonevasive\n",
      "somethingalbedo\n",
      "specifiedinnovative\n",
      "spiritedjump\n",
      "stairsgobsmacked\n",
      "starbucksbluetail\n",
      "stylishmugs\n",
      "submittedwavelength\n",
      "submittedwavelength\n",
      "synonympatisserie\n",
      "synonympatisserie\n",
      "tendonwench\n",
      "turnoverlovesick\n",
      "twitequiver\n",
      "unbalancedprotoplanet\n",
      "user\n",
      "worldlyventuri\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "cut: write error\n"
     ]
    }
   ],
   "source": [
    "!cut -f1 -d',' data/users.csv | head -80 |sort\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use pipes (`|`) to string together many commands to create very powerful one liners. For example, lets get the number of unique users in the first column. We will get all values from the first column, sort them, find all unique values, and then count the number of lines,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "201\n"
     ]
    }
   ],
   "source": [
    "!cut -f1 -d',' data/users.csv | sort | uniq | wc -l"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or, we can get a list of the top-10 most frequently occuring users. If we give `uniq` the `-c` flag, it will return the number of times each value occurs. Since these counts are the first entry in each new line, we can tell `sort` to expect numbers (`-n`) and to give us the results in reverse (`-r`) order. Note, that when you want to use two or more single letter flags, you can just place them one after another."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     59 compareas\n",
      "     56 upbeatodd\n",
      "     56 burntrifle\n",
      "     56 binomialapathetic\n",
      "     54 frequencywould\n",
      "     54 ellipticalfabricator\n",
      "     53 globeshameful\n",
      "     52 badgefields\n",
      "     52 ashamedmuscles\n",
      "     51 alloweruptions\n"
     ]
    }
   ],
   "source": [
    "!cut -f1 -d',' data/users.csv | sort | uniq -c | sort -nr | head"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After some exploration we decide we want to keep only part of our data and bring it into a new file. Let's find all the records that have a negative value in the second and third columns and put these results in a file called `data/negative_users.csv`. Searching through files can be done using _[regular expressions](http://www.robelle.com/smugbook/regexpr.html#expression)_ with a tool called `grep` (Global Regular Expression Printer). You can direct output into a file using a `>`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "!grep '.*,-.*,-.*' data/users.csv > data/negative_users.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can check the data folder to see if our new file is in there,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 332\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609  19664 3鏈�  21 17:41 negative_users.csv\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609   2612 3鏈�  14 16:22 survey.csv\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609  14361 3鏈�  18 22:25 TrainData_2015.1.1_2015.2.19.csv\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609  14338 3鏈�  18 21:49 TrainData_2015.1.1_2015.2.19.txt\n",
      "-rw-r--r-- 1 璧靛姏杈捐揪杈� 197609 278665 3鏈�  14 16:22 users.csv\n",
      "dialgraft\n",
      "quadratcranky\n",
      "craytugofwar\n",
      "poohvireo\n",
      "unicyclistamiable\n",
      "heomicron\n",
      "driftmvc\n",
      "moderatohorn\n",
      "backedammeter\n",
      "smackswallow\n",
      "submittedwavelength\n",
      "advisorlanguage\n",
      "handywrist\n",
      "neckedjre\n",
      "nursingrash\n"
     ]
    }
   ],
   "source": [
    "!ls -l data \n",
    "!head -15 data/negative_users.csv | cut -f1 -d','"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Using Python, IPython, and Pandas\n",
    "The command line is great for a first step in data exploration. However, to do some more in depth operations you will generally want to move to a language and environment better suited for involved data manipulation. Here, we will discuss the use of Python as a data crunching tool.\n",
    "\n",
    "In this section we will only discuss the use of `pandas` to explore data with data frames. You can also explore data line by line by \"streaming\" it; but that is beyond this class. Streaming in data is very useful for highly unstructured data. If you are interested in this, feel free to ask about it on the class forums!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1. Example one: User exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For structured data like we have here, we will use `pandas`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Read in data/users.csv using Pandas\n",
    "import pandas as pd\n",
    "users = pd.read_csv(\"data/users.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user</th>\n",
       "      <th>variable1</th>\n",
       "      <th>variable2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>parallelconcerned</td>\n",
       "      <td>145.391881</td>\n",
       "      <td>-6.081689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>driftmvc</td>\n",
       "      <td>145.788700</td>\n",
       "      <td>-5.207083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>snowdonevasive</td>\n",
       "      <td>144.295861</td>\n",
       "      <td>-5.826789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>cobolglaucous</td>\n",
       "      <td>146.726242</td>\n",
       "      <td>-6.569828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>stylishmugs</td>\n",
       "      <td>147.220050</td>\n",
       "      <td>-9.443383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                user   variable1  variable2\n",
       "0  parallelconcerned  145.391881  -6.081689\n",
       "1           driftmvc  145.788700  -5.207083\n",
       "2     snowdonevasive  144.295861  -5.826789\n",
       "3      cobolglaucous  146.726242  -6.569828\n",
       "4        stylishmugs  147.220050  -9.443383"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Take a look at the Panda's DataFrame\n",
    "users.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variable1</th>\n",
       "      <th>variable2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8103.000000</td>\n",
       "      <td>8103.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-3.896185</td>\n",
       "      <td>26.822602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>85.900306</td>\n",
       "      <td>27.867650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-179.877000</td>\n",
       "      <td>-89.999997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-79.022498</td>\n",
       "      <td>8.824928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.324490</td>\n",
       "      <td>34.988800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>49.806862</td>\n",
       "      <td>47.957599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>179.951000</td>\n",
       "      <td>82.517778</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         variable1    variable2\n",
       "count  8103.000000  8103.000000\n",
       "mean     -3.896185    26.822602\n",
       "std      85.900306    27.867650\n",
       "min    -179.877000   -89.999997\n",
       "25%     -79.022498     8.824928\n",
       "50%       5.324490    34.988800\n",
       "75%      49.806862    47.957599\n",
       "max     179.951000    82.517778"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user</th>\n",
       "      <th>variable1</th>\n",
       "      <th>variable2</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>parallelconcerned</td>\n",
       "      <td>145.391881</td>\n",
       "      <td>-6.081689</td>\n",
       "      <td>139.310192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>driftmvc</td>\n",
       "      <td>145.788700</td>\n",
       "      <td>-5.207083</td>\n",
       "      <td>140.581617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>snowdonevasive</td>\n",
       "      <td>144.295861</td>\n",
       "      <td>-5.826789</td>\n",
       "      <td>138.469072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>cobolglaucous</td>\n",
       "      <td>146.726242</td>\n",
       "      <td>-6.569828</td>\n",
       "      <td>140.156414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>stylishmugs</td>\n",
       "      <td>147.220050</td>\n",
       "      <td>-9.443383</td>\n",
       "      <td>137.776667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                user   variable1  variable2         sum\n",
       "0  parallelconcerned  145.391881  -6.081689  139.310192\n",
       "1           driftmvc  145.788700  -5.207083  140.581617\n",
       "2     snowdonevasive  144.295861  -5.826789  138.469072\n",
       "3      cobolglaucous  146.726242  -6.569828  140.156414\n",
       "4        stylishmugs  147.220050  -9.443383  137.776667"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add another column to this DataFrame\n",
    "users['sum'] = users['variable1'] + users['variable2']\n",
    "users.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Python and Pandas allow us to do complex tasks very easily, such as plotting.\n",
    "\n",
    "Let's visualize the relationship between variable1 vs. variable2 in these data with a scatterplot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1b92aaadb38>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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viXfaukmYOPLg5/0ajqcoD8C6Z4dx7ryE+oXtY9HSks3gDxZfjmcOFU1DMc+O\nlbGquzWQ/rp2hI6SJOZ0JATgkbsu1pR/+PZ2z3o1X+pwQiwMFh07SHufGoJ2LilPMDbsPuros5yE\newZN4gW+k2y6OKJEDmgbiTcjUQhzVPPhhQl0XVkJCLDKfdjxY/+F/dJ51s3GFdyMZGV3q29C7eyY\ns3LhSlaz3fH0F4brhL3CaMl5qXK7ET1Bk3iTTpSXV16iRPD4YeBRskZPbl7eUEcuv6N1ouZjKZXH\nsWbnEH5w+G1LAVr2OR4yRcCdXfavndNIsKXzZtaZPB/YdcTRZ5jhNDCNHR4/iuZAP0i8hh/l5ZXX\nbMy3o+vKmQ3Vx9FjtFRGx4MvutJ01Pidjbsx347XT/8mEH+BXSbYnYboxzicnP/uq2Y4Oo/aWkX9\nhWFPG8+oFz8zpmVsafxj5Qnbpp1GV1fqSMDLshmUxycmzaxKxFIuArIn8QIfiO7yyg/U31XddrBR\nvBBaQRSa2n7PdXVhuFZhfM2C3fNfGCziJyPvNfTZfmrMv/nA/r344HPG9nf1fWKGVYlsbaKV9llR\nHr/iaAmrdwxh4NSZ0AJAmkLgNyvatoM3PfojvPruudDGE5TfRG+CF4Fv//y7qR+k/Ww//RFOFg56\nK4HCYBEbdh+1rcTo1UVS4/R8bTswgq4r7ftTvCTxNnzhIvvWXI+tPR0Nx1m7JUy/STyCV/3Did/K\nzUpM+9le93FQaNQPpGjjdoR9NpOyVRrEzfny0r/hBNHwmwxF+y0MFj0LmYsDUa9D5Cfqmvx2sFM/\nSMvfvvxqzedfMiWFkoc2/DRVMlhTLsuK2O39oJcNa5Wp7+Z8OfEveIlo+E1KGMvJNTvDq6vjtOtV\nEkhRJTtVXZPfDnqRbVa8+u65mr4RH3go7AFgnCuRN25MRYXBItbY7P2gNU2ZZeorWbluW1SGUVtH\nBH4TE7SZY4IrxdTa+vagrW9P4I1lwqyvEgbM7iZ2pYerU9SO2ijluazddQR2ph89s5dRpv6G3Ucn\nJwKgMhk5fZ68jKSziwj8Juaxno5Qj7/twAjmBlwAbsa0YOvWhAkDruvBfM+F+UutfbtZJfiFHdPS\njGkZ3dpCRvb50VK5biKITsqfMSLwm5h8Zw5bQxb6DAQq9NffYh5xERQpqti5/caoWKAZ/YVhWxqx\nFnWyVr4zN9kjwC0E/89RriWLrT0dGPyGvtkrSisVLxCB3+TkO3M4uXk5PvHRqaGNgYHAzDv5zlwk\nbPkTDJTHJ5D2K5xFhdNa7G6d29pM50b9RIxKeYpGMTrFKYJpETnAOFM/ritFEfgCAODguptwcvNy\nbO3psEw08YPvHQwugmb7Pdciwj0UAAAcmklEQVQ1VCLCKyYYGA+oxVQQSW96yURRaNZz3VX6E7yd\nhi/KSiXXkq0pK73+loWemKyC9mNJWKaGoHtRRg0lbDPoJK0Jdlfh0C2KcEpaqKZRUxa/TRPzZ0/X\n3X73kjmhn+OfjLyHpfNm4sBrZzHOjDQR7l4yx3a2q1mmviIrUi4L933v4EigWbe+C3wi+jyAvwKQ\nBvA/mXmz38d0S5R7UQZJf2E4lIxcv2vtaEmi0L80kwJANQ5Fr4sFzp89veb+mD97OvatuV533yic\n41J5HCd/VfK8W516ItDKDrsE3UPYV4FPRGkAfwvgJgBvAvg3ItrNzD/z87huMWuWkhSBb7WCKQwW\nsT2khzMIs4MWpeCc0cMatZLLVpTKE9ja0+HrKtVIuBuxMd+Ol4+dDiUMUcHve0tbpPHSjP3EsyBX\ntn5r+J8F8Atmfg0AiOj7AG4DEEmB76ZZSpxQOvoopXj1ijk9+NzR0MLLGJVWiEHHy5tVVA27/pAb\nolgsMOxniAHMW/v8pElnnNnz6pXqLHbFMmCHIAuq+S3wcwDUZfPeBLDE52O6JunNUjbsPqpbd10p\n5gQ4bzThNftPnAlN6Gsf/MJgMXbC3ovokUabs+vhpvyA1ygrNeW3kcm2UT+em+JzisnLb6Hvt8DX\nc9HX3EtEdC+AewGgtdXbyAmnF6532YK6pX2SmqWYFYzasvc4zn14IcDRGLP/xBm0VWPzw6whHkbq\neyNk0uRJnoGZcHYbdNO7bEHN6jIqlMrjWL1jaLKuVApAOk0oj1+cFO6rvm53ZeB2NbPtwAhePnba\n1/vdb4H/JgB1cO6nALyl3oGZHwfwOAB0dXV5dje4ccA2U7MULW9Va4VEDfUDpzxoQDDXKGwzhBPS\nRNjypcWeaKq9yxYYFtZz685QjuukLHEYTACYGK/9ksp/VisDhUZWM34HihD76JAioikA/h3A5wAU\nAfwbgD9k5qN6+3d1dfHAwIAnx1aKGmnJtWSxv+9GT44RNzofetHQZJOLwJLbDpk0AVzbEjCbSeum\nxTeK0T0EAFMIYETHoast42sUNfKJj07FwXU3WX6e0b3ixfOj2NLjTks2g6H1N9dt1zv3mRQ5Wt04\nPc9EdIiZu6z28zXxipkvAPgagL0Afg5gp5Gw95qkO2DdsP6WhbqZnZkUoXfZAkwLqU6+E8rjXPfg\nOM0ktYtRPZj5s6fjF5uW45G7Fnt+TDfMmJapm+wefO6orh35nffP46ZHf2T5mXqJRV6ZN6PWe9gt\no6WybuKUXrLWljsXO0r280tO+R6Hz8zPA3je7+NoSboD1g2KUHjwuaOT2pu6VvqDzx31tA9pkPjx\ngFiZ+PKdOax7dniyd2lYaO32hcGiqfPdjiPaT/Pmxnx7YnIfjJytekEA+c4cuq6caasPhV9yKrGZ\ntkl3wLrFLGRvNOQInUbw6wGxCnF8+Pb2UBvJrOpu1dXuG8XvjPO4mBDtsO3ACHYdehPfWrHI8hwp\nr5slafkpp6K/hneJUQ2MZnDAuiWuqx+nD0h/YRjz1j6Ptr49mLf2+YbqmeQ7c5g+NbwywFrN0kq7\nt4NZ0w+viFL5ZC8YK09g9Y4hW/eSVjbNmJZBSzYTiJxKrIYPOE9AaUSr0TZGnjEtg/W32G8rFwXM\nojOijJMHpL8wXGNOGGduOAZ6LGSTjho7voy0RWhlEBnnapNRUjR9oKLtH3ztV5bZyOokrSCjAhOr\n4TulEa1GaaGmDjc7O1YOtaWfG+I0OalxMm51VyY72+0Q5spIu1qxIzytgkWCCnjId+awv+/GwHsy\n+F2/89V3z9lyjAexktIiAh+VE3//zsOGWo0VG3Yf1W0YMcGV1+JELqZmHbsYhQM2EibYu2yBYc11\nv9l2YKQug9QKqwnK6HU//SQfu8Q/805LNlNj2n2sp8P3+/zVd8+hrW+Paccxs5WUXzS9wFdmWaOH\nxY5WY5ZIEuUkEz3i5tR2WkrAqD57I3Xb8505PHpXuJ3D7GLH32HU9MOve6MwWISfwWHKM/hYT8dk\nw5OgwrPNtPYwQsebXuBb1b2IqyPTLfnOHLIxiMdXcFpKwCgGvNHY8HxnLhLNPoxw4hD0K+ChMFjE\n0s0vYa5G83VTe8YpSqHAtr49aOvbE2hWuZ7WXhgsImVwv/gpcxLntFU7QS7LZkBUCTc0coiYzaZ2\ntZoZ0zKGkRFxbIW2acWiWDhvW7L1CUdWKI7ZJw++4aoZhhlRzR51kx3rdcVNs1InzZAMWRwtTZZB\nNrMq+B067mtpBac0UlqhMFisSSgyggCs7G6dfMCN0ufTRHjkrsW6N31/YRjbD45M1hXJpIALE/UV\nBtMpwiN36n9G1Fn4jX8KPaHIDEJliR6lc9sWYDN2u2TS9TV2wsCs1AkAyzIohcEiHth1JLaJgcDF\na2EUmWQmc6yIRGmFoFBmTDvxx4yKo0uJlzWyV+qd+P7CMNr69mDbgZGaIlLlqrCfqop3IwLu/uyc\n0B80t0Qp1FCPlToJR0I9mRRF4jyZ2avt+AzynTn87JtfwMnNy3Fy83Ks6m6dNKGlCMhmUpPmpyD6\nFWczaceO+vI4T1of9Jhg9v1aJcKk48YG+OTBN7Ax314TD2wWC6uN39bjvKrKHjPwzKEiuq6cGYkH\nzilRqF9uRpB9QO0Q1fDbqGjEZqVO3JRx2Jhv170HnDYfsSKdInz0kikYLZXryiMPnDrjuEREcbRk\nmGUchL8wEQLfjWBS28/M7JV2BL0RcW6PGNckrLCIW+38oLEqdeKVz8BrB/D4BGP6JVN0q2Iq49X6\ng6zkhd65AIC33iuhvzDsqzITe4HvVrOyE1HRiLBXiKtDSimmFnYHrLgQ1+scFH4VY9NmuPuBmUKp\nt9Kwkhn5zhyeGhjB/hNnarYz+9/5KvYC/4FdR1y9TxuGp5fi3Ej2pQIDvs/afrH+loW4b8dQJBuj\nRI2om8CigB+RP1HsomVFf2G4Ttir2XZgxDd5EXunrRsb5dJ5M2tOqFGKs1dhdmoncZzId+awsrvV\n91T0JNC7bEGlOUtMMIqJjxNb9h4PTNjbeX6Vc2qFHauBX9cj9gLfDT8Zea/mhBqlOHuJF6uFMNiY\nbw8kFd0JURqLQr4zhy1fikZDFDUt2UydcO8vDAdew8VLlO8T5Ipq24ERLHl4n+mYlHPqBX75hJpS\n4Gsz34Kwv0Y1KccOSpGrlmw0ksiiXP4halr+aKmM1TuGaoT79gMjgddwaZTCYBGdD72Itr49k98n\naN55/7yh0PfaWeyXTIq9wHfblk99Qi8LQJBFOe3eLhtudVbGwA8yqehW9dyy9zjK4/5O7BkPqrQZ\njTCqjueVT7yC1TuGIhFA8M7753W3e33u/ArRjL3A/9aKRa4qFapPqBtZPH/29EnTgp23XzKFYrNk\nNiIKgvZCNMLKdQlCYPpps45i3SgrB2dU8PLcZdIkHa+MUCoVKoWe7KDN4nPT2k/pC7q1pwOP2ajn\nPVaeiJWd1Iiw7edRFEoKUR6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BZu4KexxWyDi9Jy5jlXF6T5zGaoaYdARBEJoEEfiCIAhN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\nz2gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b929ff2d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "plt.scatter(users['variable1'], users['variable2'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can update our DataFrame given the new information we discovered."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user</th>\n",
       "      <th>feature1</th>\n",
       "      <th>feature2</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>parallelconcerned</td>\n",
       "      <td>145.391881</td>\n",
       "      <td>-6.081689</td>\n",
       "      <td>139.310192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>driftmvc</td>\n",
       "      <td>145.788700</td>\n",
       "      <td>-5.207083</td>\n",
       "      <td>140.581617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>snowdonevasive</td>\n",
       "      <td>144.295861</td>\n",
       "      <td>-5.826789</td>\n",
       "      <td>138.469072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>cobolglaucous</td>\n",
       "      <td>146.726242</td>\n",
       "      <td>-6.569828</td>\n",
       "      <td>140.156414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>stylishmugs</td>\n",
       "      <td>147.220050</td>\n",
       "      <td>-9.443383</td>\n",
       "      <td>137.776667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                user    feature1  feature2         sum\n",
       "0  parallelconcerned  145.391881 -6.081689  139.310192\n",
       "1           driftmvc  145.788700 -5.207083  140.581617\n",
       "2     snowdonevasive  144.295861 -5.826789  138.469072\n",
       "3      cobolglaucous  146.726242 -6.569828  140.156414\n",
       "4        stylishmugs  147.220050 -9.443383  137.776667"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.columns = ['user', 'feature1', 'feature2', 'sum']\n",
    "users.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2. Example 2: Survey responses\n",
    "Let's read in an edited version of your survey responses. Since the data is very well structured (it's a nicely formatted .csv file) we will simply use `pandas`. This file is located in the `data/` folder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "survey = pd.read_csv('data/survey.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have the data, let's take a look at what we have."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>stern</th>\n",
       "      <th>regression</th>\n",
       "      <th>database</th>\n",
       "      <th>cloud</th>\n",
       "      <th>api</th>\n",
       "      <th>season</th>\n",
       "      <th>terminal</th>\n",
       "      <th>python</th>\n",
       "      <th>machinelearning</th>\n",
       "      <th>statistics</th>\n",
       "      <th>mathematics</th>\n",
       "      <th>datavisualization</th>\n",
       "      <th>business</th>\n",
       "      <th>communication</th>\n",
       "      <th>fruit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Finance</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Summer</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>Apples</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Finance</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fall</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>Oranges</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Finance</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Summer</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>Apples</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Statistics</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Summer</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>Apples</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Information System</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fall</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>Oranges</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   timestamp               stern regression database cloud  api  season  \\\n",
       "0          1             Finance        Yes       No    No   No  Summer   \n",
       "1          2             Finance        Yes      Yes   Yes  Yes    Fall   \n",
       "2          3             Finance        Yes       No    No   No  Summer   \n",
       "3          4          Statistics        Yes      Yes   Yes  Yes  Summer   \n",
       "4          5  Information System        Yes      Yes   Yes  Yes    Fall   \n",
       "\n",
       "   terminal  python  machinelearning  statistics  mathematics  \\\n",
       "0         4       6                4           7            9   \n",
       "1         5       1                1           6            8   \n",
       "2         1       5                1           5            8   \n",
       "3         3       5                1           8            7   \n",
       "4         2       5                1           6            5   \n",
       "\n",
       "   datavisualization  business  communication    fruit  \n",
       "0                  6         7              7   Apples  \n",
       "1                  6         8             10  Oranges  \n",
       "2                  1         6              8   Apples  \n",
       "3                  6         6              7   Apples  \n",
       "4                  1         8              8  Oranges  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have a lot of data here. How can we start to make sense of it? Using the pandas `describe()` method, we can get a summary of the numeric features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>terminal</th>\n",
       "      <th>python</th>\n",
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       "      <th>datavisualization</th>\n",
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       "      <th>communication</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>41.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>41.00000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>41.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>21.000000</td>\n",
       "      <td>2.341463</td>\n",
       "      <td>3.487805</td>\n",
       "      <td>1.439024</td>\n",
       "      <td>5.951220</td>\n",
       "      <td>6.97561</td>\n",
       "      <td>4.487805</td>\n",
       "      <td>7.170732</td>\n",
       "      <td>7.609756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>11.979149</td>\n",
       "      <td>1.931447</td>\n",
       "      <td>2.460914</td>\n",
       "      <td>0.975930</td>\n",
       "      <td>1.642425</td>\n",
       "      <td>1.35070</td>\n",
       "      <td>2.550705</td>\n",
       "      <td>1.828967</td>\n",
       "      <td>1.497966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.00000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>21.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>7.00000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>31.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>8.00000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>41.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.00000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       timestamp   terminal     python  machinelearning  statistics  \\\n",
       "count  41.000000  41.000000  41.000000        41.000000   41.000000   \n",
       "mean   21.000000   2.341463   3.487805         1.439024    5.951220   \n",
       "std    11.979149   1.931447   2.460914         0.975930    1.642425   \n",
       "min     1.000000   1.000000   1.000000         1.000000    1.000000   \n",
       "25%    11.000000   1.000000   1.000000         1.000000    5.000000   \n",
       "50%    21.000000   1.000000   3.000000         1.000000    6.000000   \n",
       "75%    31.000000   3.000000   5.000000         1.000000    7.000000   \n",
       "max    41.000000   7.000000   8.000000         5.000000    8.000000   \n",
       "\n",
       "       mathematics  datavisualization   business  communication  \n",
       "count     41.00000          41.000000  41.000000      41.000000  \n",
       "mean       6.97561           4.487805   7.170732       7.609756  \n",
       "std        1.35070           2.550705   1.828967       1.497966  \n",
       "min        3.00000           1.000000   1.000000       3.000000  \n",
       "25%        6.00000           2.000000   7.000000       7.000000  \n",
       "50%        7.00000           5.000000   8.000000       8.000000  \n",
       "75%        8.00000           6.000000   8.000000       9.000000  \n",
       "max        9.00000           9.000000  10.000000      10.000000  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You might find it easier to flip the data frame,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
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       "      <th>max</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>timestamp</th>\n",
       "      <td>41.0</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>11.979149</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
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       "      <td>31.0</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>terminal</th>\n",
       "      <td>41.0</td>\n",
       "      <td>2.341463</td>\n",
       "      <td>1.931447</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
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       "    <tr>\n",
       "      <th>python</th>\n",
       "      <td>41.0</td>\n",
       "      <td>3.487805</td>\n",
       "      <td>2.460914</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
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       "    <tr>\n",
       "      <th>machinelearning</th>\n",
       "      <td>41.0</td>\n",
       "      <td>1.439024</td>\n",
       "      <td>0.975930</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>statistics</th>\n",
       "      <td>41.0</td>\n",
       "      <td>5.951220</td>\n",
       "      <td>1.642425</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mathematics</th>\n",
       "      <td>41.0</td>\n",
       "      <td>6.975610</td>\n",
       "      <td>1.350700</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datavisualization</th>\n",
       "      <td>41.0</td>\n",
       "      <td>4.487805</td>\n",
       "      <td>2.550705</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>business</th>\n",
       "      <td>41.0</td>\n",
       "      <td>7.170732</td>\n",
       "      <td>1.828967</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>communication</th>\n",
       "      <td>41.0</td>\n",
       "      <td>7.609756</td>\n",
       "      <td>1.497966</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   count       mean        std  min   25%   50%   75%   max\n",
       "timestamp           41.0  21.000000  11.979149  1.0  11.0  21.0  31.0  41.0\n",
       "terminal            41.0   2.341463   1.931447  1.0   1.0   1.0   3.0   7.0\n",
       "python              41.0   3.487805   2.460914  1.0   1.0   3.0   5.0   8.0\n",
       "machinelearning     41.0   1.439024   0.975930  1.0   1.0   1.0   1.0   5.0\n",
       "statistics          41.0   5.951220   1.642425  1.0   5.0   6.0   7.0   8.0\n",
       "mathematics         41.0   6.975610   1.350700  3.0   6.0   7.0   8.0   9.0\n",
       "datavisualization   41.0   4.487805   2.550705  1.0   2.0   5.0   6.0   9.0\n",
       "business            41.0   7.170732   1.828967  1.0   7.0   8.0   8.0  10.0\n",
       "communication       41.0   7.609756   1.497966  3.0   7.0   8.0   9.0  10.0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey.describe().transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Do we have other features that weren't listed here? Some that aren't numeric? Let's take a look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['timestamp', 'stern', 'regression', 'database', 'cloud', 'api',\n",
       "       'season', 'terminal', 'python', 'machinelearning', 'statistics',\n",
       "       'mathematics', 'datavisualization', 'business', 'communication',\n",
       "       'fruit'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are more fields here than we saw in our description. If we go back and look at the head of the data, we will see a few fields are Yes/No. Let's turn these into 0's and 1's."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for field in ['regression', 'database', 'cloud', 'api']:\n",
    "    survey[field] = (survey[field] == \"Yes\").astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>timestamp</th>\n",
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       "      <td>21.000000</td>\n",
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       "    <tr>\n",
       "      <th>regression</th>\n",
       "      <td>41.0</td>\n",
       "      <td>0.682927</td>\n",
       "      <td>0.471117</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>database</th>\n",
       "      <td>41.0</td>\n",
       "      <td>0.365854</td>\n",
       "      <td>0.487652</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>cloud</th>\n",
       "      <td>41.0</td>\n",
       "      <td>0.219512</td>\n",
       "      <td>0.419058</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>api</th>\n",
       "      <td>41.0</td>\n",
       "      <td>0.268293</td>\n",
       "      <td>0.448575</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>terminal</th>\n",
       "      <td>41.0</td>\n",
       "      <td>2.341463</td>\n",
       "      <td>1.931447</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
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       "    <tr>\n",
       "      <th>python</th>\n",
       "      <td>41.0</td>\n",
       "      <td>3.487805</td>\n",
       "      <td>2.460914</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinelearning</th>\n",
       "      <td>41.0</td>\n",
       "      <td>1.439024</td>\n",
       "      <td>0.975930</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>statistics</th>\n",
       "      <td>41.0</td>\n",
       "      <td>5.951220</td>\n",
       "      <td>1.642425</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mathematics</th>\n",
       "      <td>41.0</td>\n",
       "      <td>6.975610</td>\n",
       "      <td>1.350700</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datavisualization</th>\n",
       "      <td>41.0</td>\n",
       "      <td>4.487805</td>\n",
       "      <td>2.550705</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>business</th>\n",
       "      <td>41.0</td>\n",
       "      <td>7.170732</td>\n",
       "      <td>1.828967</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>communication</th>\n",
       "      <td>41.0</td>\n",
       "      <td>7.609756</td>\n",
       "      <td>1.497966</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   count       mean        std  min   25%   50%   75%   max\n",
       "timestamp           41.0  21.000000  11.979149  1.0  11.0  21.0  31.0  41.0\n",
       "regression          41.0   0.682927   0.471117  0.0   0.0   1.0   1.0   1.0\n",
       "database            41.0   0.365854   0.487652  0.0   0.0   0.0   1.0   1.0\n",
       "cloud               41.0   0.219512   0.419058  0.0   0.0   0.0   0.0   1.0\n",
       "api                 41.0   0.268293   0.448575  0.0   0.0   0.0   1.0   1.0\n",
       "terminal            41.0   2.341463   1.931447  1.0   1.0   1.0   3.0   7.0\n",
       "python              41.0   3.487805   2.460914  1.0   1.0   3.0   5.0   8.0\n",
       "machinelearning     41.0   1.439024   0.975930  1.0   1.0   1.0   1.0   5.0\n",
       "statistics          41.0   5.951220   1.642425  1.0   5.0   6.0   7.0   8.0\n",
       "mathematics         41.0   6.975610   1.350700  3.0   6.0   7.0   8.0   9.0\n",
       "datavisualization   41.0   4.487805   2.550705  1.0   2.0   5.0   6.0   9.0\n",
       "business            41.0   7.170732   1.828967  1.0   7.0   8.0   8.0  10.0\n",
       "communication       41.0   7.609756   1.497966  3.0   7.0   8.0   9.0  10.0"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey.describe().transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have already seen how to get scatter plots in the previous example. Let's look at a histogram here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IBpBkbyYhcGlVXTF2PSM6GnhVkruYzDp7bJJLxi1pVJuATVX18AjxcibB0KKXA3dW1XxV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\n/NDCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b92aa89c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "plt.hist(survey['business'], bins=range(1, 11))\n",
    "plt.ylabel('buiiness')\n",
    "plt.xlabel('Rank')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at one more type of plot. A very simple line graph. Maybe we are curious about the trend of experience given the timestamp a student submitted their survey. In our data, we have a `timestamp` field as well as all of the experience reports. Let's put a few on a graph and take a look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XYvHixdj52K/YE52V+NGPfsRkqi/bhnv+9h8V/w5TU1O45ZZbsHHjRpx77rl46qmnAAA9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\nWeb8f3o6IYVllBksAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b92ac789e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(survey['timestamp'], survey['terminal'], label=\"Terminal\")\n",
    "plt.plot(survey['timestamp'], survey['business'], label=\"Business\")\n",
    "plt.plot(survey['timestamp'], survey['machinelearning'], label=\"Machine Learning\")\n",
    "plt.ylabel(\"Experience\")\n",
    "plt.xlabel(\"Time Submitted\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Getting data from the internet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This section looks at obtaining data are loading it into Python."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1. Excercise: Downloading the Iris dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One of the most famous datasets in Machine Learning is the Iris dataset. We looked at it in lectures, it is referred to in the text book, it is used in many publications. \n",
    "\n",
    "First lets download it from the UCI Machine Learning repository: http://mlearn.ics.uci.edu/MLRepository.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We make use of urllib. It is a python library that is part of the base package - it is for downloading urls. \n",
    "\n",
    "Read the doc! \n",
    "https://docs.python.org/3/library/urllib.html#module-urllib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import urllib.request\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data'\n",
    "response = urllib.request.urlopen(url)\n",
    "data = response.read()      # a raw bits 'bytes' object\n",
    "text = data.decode('utf-8') # use the utf-8 string format to create a string 'str' object \n",
    "iris_df=pd.read_csv(url, names=(\"sepal length\",\"sepal width\",\"petal length\",\"petal width\",\"class\")) # Panda object"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Take a look at the file contents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'5.1,3.5,1.4,0.2,Iris-setosa\\n4.9,3.0,1.4,0.2,Iris-setosa\\n4.7,3.2,1.3,0.2,Iris-setosa\\n4.6,3.1,1.5,0.2,Iris-setosa\\n5.0,3.6,1.4,0.2,Iris-setosa\\n5.4,3.9,1.7,0.4,Iris-setosa\\n4.6,3.4,1.4,0.3,Iris-setosa\\n5.0,3.4,1.5,0.2,Iris-setosa\\n4.4,2.9,1.4,0.2,Iris-setosa\\n4.9,3.1,1.5,0.1,Iris-setosa\\n5.4,3.7,1.5,0.2,Iris-setosa\\n4.8,3.4,1.6,0.2,Iris-setosa\\n4.8,3.0,1.4,0.1,Iris-setosa\\n4.3,3.0,1.1,0.1,Iris-setosa\\n5.8,4.0,1.2,0.2,Iris-setosa\\n5.7,4.4,1.5,0.4,Iris-setosa\\n5.4,3.9,1.3,0.4,Iris-setosa\\n5.1,3.5,1.4,0.3,Iris-setosa\\n5.7,3.8,1.7,0.3,Iris-setosa\\n5.1,3.8,1.5,0.3,Iris-setosa\\n5.4,3.4,1.7,0.2,Iris-setosa\\n5.1,3.7,1.5,0.4,Iris-setosa\\n4.6,3.6,1.0,0.2,Iris-setosa\\n5.1,3.3,1.7,0.5,Iris-setosa\\n4.8,3.4,1.9,0.2,Iris-setosa\\n5.0,3.0,1.6,0.2,Iris-setosa\\n5.0,3.4,1.6,0.4,Iris-setosa\\n5.2,3.5,1.5,0.2,Iris-setosa\\n5.2,3.4,1.4,0.2,Iris-setosa\\n4.7,3.2,1.6,0.2,Iris-setosa\\n4.8,3.1,1.6,0.2,Iris-setosa\\n5.4,3.4,1.5,0.4,Iris-setosa\\n5.2,4.1,1.5,0.1,Iris-setosa\\n5.5,4.2,1.4,0.2,Iris-setosa\\n4.9,3.1,1.5,0.1,Iris-setosa\\n5.0,3.2,1.2,0.2,Iris-setosa\\n5.5,3.5,1.3,0.2,Iris-setosa\\n4.9,3.1,1.5,0.1,Iris-setosa\\n4.4,3.0,1.3,0.2,Iris-setosa\\n5.1,3.4,1.5,0.2,Iris-setosa\\n5.0,3.5,1.3,0.3,Iris-setosa\\n4.5,2.3,1.3,0.3,Iris-setosa\\n4.4,3.2,1.3,0.2,Iris-setosa\\n5.0,3.5,1.6,0.6,Iris-setosa\\n5.1,3.8,1.9,0.4,Iris-setosa\\n4.8,3.0,1.4,0.3,Iris-setosa\\n5.1,3.8,1.6,0.2,Iris-setosa\\n4.6,3.2,1.4,0.2,Iris-setosa\\n5.3,3.7,1.5,0.2,Iris-setosa\\n5.0,3.3,1.4,0.2,Iris-setosa\\n7.0,3.2,4.7,1.4,Iris-versicolor\\n6.4,3.2,4.5,1.5,Iris-versicolor\\n6.9,3.1,4.9,1.5,Iris-versicolor\\n5.5,2.3,4.0,1.3,Iris-versicolor\\n6.5,2.8,4.6,1.5,Iris-versicolor\\n5.7,2.8,4.5,1.3,Iris-versicolor\\n6.3,3.3,4.7,1.6,Iris-versicolor\\n4.9,2.4,3.3,1.0,Iris-versicolor\\n6.6,2.9,4.6,1.3,Iris-versicolor\\n5.2,2.7,3.9,1.4,Iris-versicolor\\n5.0,2.0,3.5,1.0,Iris-versicolor\\n5.9,3.0,4.2,1.5,Iris-versicolor\\n6.0,2.2,4.0,1.0,Iris-versicolor\\n6.1,2.9,4.7,1.4,Iris-versicolor\\n5.6,2.9,3.6,1.3,Iris-versicolor\\n6.7,3.1,4.4,1.4,Iris-versicolor\\n5.6,3.0,4.5,1.5,Iris-versicolor\\n5.8,2.7,4.1,1.0,Iris-versicolor\\n6.2,2.2,4.5,1.5,Iris-versicolor\\n5.6,2.5,3.9,1.1,Iris-versicolor\\n5.9,3.2,4.8,1.8,Iris-versicolor\\n6.1,2.8,4.0,1.3,Iris-versicolor\\n6.3,2.5,4.9,1.5,Iris-versicolor\\n6.1,2.8,4.7,1.2,Iris-versicolor\\n6.4,2.9,4.3,1.3,Iris-versicolor\\n6.6,3.0,4.4,1.4,Iris-versicolor\\n6.8,2.8,4.8,1.4,Iris-versicolor\\n6.7,3.0,5.0,1.7,Iris-versicolor\\n6.0,2.9,4.5,1.5,Iris-versicolor\\n5.7,2.6,3.5,1.0,Iris-versicolor\\n5.5,2.4,3.8,1.1,Iris-versicolor\\n5.5,2.4,3.7,1.0,Iris-versicolor\\n5.8,2.7,3.9,1.2,Iris-versicolor\\n6.0,2.7,5.1,1.6,Iris-versicolor\\n5.4,3.0,4.5,1.5,Iris-versicolor\\n6.0,3.4,4.5,1.6,Iris-versicolor\\n6.7,3.1,4.7,1.5,Iris-versicolor\\n6.3,2.3,4.4,1.3,Iris-versicolor\\n5.6,3.0,4.1,1.3,Iris-versicolor\\n5.5,2.5,4.0,1.3,Iris-versicolor\\n5.5,2.6,4.4,1.2,Iris-versicolor\\n6.1,3.0,4.6,1.4,Iris-versicolor\\n5.8,2.6,4.0,1.2,Iris-versicolor\\n5.0,2.3,3.3,1.0,Iris-versicolor\\n5.6,2.7,4.2,1.3,Iris-versicolor\\n5.7,3.0,4.2,1.2,Iris-versicolor\\n5.7,2.9,4.2,1.3,Iris-versicolor\\n6.2,2.9,4.3,1.3,Iris-versicolor\\n5.1,2.5,3.0,1.1,Iris-versicolor\\n5.7,2.8,4.1,1.3,Iris-versicolor\\n6.3,3.3,6.0,2.5,Iris-virginica\\n5.8,2.7,5.1,1.9,Iris-virginica\\n7.1,3.0,5.9,2.1,Iris-virginica\\n6.3,2.9,5.6,1.8,Iris-virginica\\n6.5,3.0,5.8,2.2,Iris-virginica\\n7.6,3.0,6.6,2.1,Iris-virginica\\n4.9,2.5,4.5,1.7,Iris-virginica\\n7.3,2.9,6.3,1.8,Iris-virginica\\n6.7,2.5,5.8,1.8,Iris-virginica\\n7.2,3.6,6.1,2.5,Iris-virginica\\n6.5,3.2,5.1,2.0,Iris-virginica\\n6.4,2.7,5.3,1.9,Iris-virginica\\n6.8,3.0,5.5,2.1,Iris-virginica\\n5.7,2.5,5.0,2.0,Iris-virginica\\n5.8,2.8,5.1,2.4,Iris-virginica\\n6.4,3.2,5.3,2.3,Iris-virginica\\n6.5,3.0,5.5,1.8,Iris-virginica\\n7.7,3.8,6.7,2.2,Iris-virginica\\n7.7,2.6,6.9,2.3,Iris-virginica\\n6.0,2.2,5.0,1.5,Iris-virginica\\n6.9,3.2,5.7,2.3,Iris-virginica\\n5.6,2.8,4.9,2.0,Iris-virginica\\n7.7,2.8,6.7,2.0,Iris-virginica\\n6.3,2.7,4.9,1.8,Iris-virginica\\n6.7,3.3,5.7,2.1,Iris-virginica\\n7.2,3.2,6.0,1.8,Iris-virginica\\n6.2,2.8,4.8,1.8,Iris-virginica\\n6.1,3.0,4.9,1.8,Iris-virginica\\n6.4,2.8,5.6,2.1,Iris-virginica\\n7.2,3.0,5.8,1.6,Iris-virginica\\n7.4,2.8,6.1,1.9,Iris-virginica\\n7.9,3.8,6.4,2.0,Iris-virginica\\n6.4,2.8,5.6,2.2,Iris-virginica\\n6.3,2.8,5.1,1.5,Iris-virginica\\n6.1,2.6,5.6,1.4,Iris-virginica\\n7.7,3.0,6.1,2.3,Iris-virginica\\n6.3,3.4,5.6,2.4,Iris-virginica\\n6.4,3.1,5.5,1.8,Iris-virginica\\n6.0,3.0,4.8,1.8,Iris-virginica\\n6.9,3.1,5.4,2.1,Iris-virginica\\n6.7,3.1,5.6,2.4,Iris-virginica\\n6.9,3.1,5.1,2.3,Iris-virginica\\n5.8,2.7,5.1,1.9,Iris-virginica\\n6.8,3.2,5.9,2.3,Iris-virginica\\n6.7,3.3,5.7,2.5,Iris-virginica\\n6.7,3.0,5.2,2.3,Iris-virginica\\n6.3,2.5,5.0,1.9,Iris-virginica\\n6.5,3.0,5.2,2.0,Iris-virginica\\n6.2,3.4,5.4,2.3,Iris-virginica\\n5.9,3.0,5.1,1.8,Iris-virginica\\n\\n'"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2. Decision Tree Learning wiht sklearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length</th>\n",
       "      <th>sepal width</th>\n",
       "      <th>petal length</th>\n",
       "      <th>petal width</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal length  sepal width  petal length  petal width        class\n",
       "0           5.1          3.5           1.4          0.2  Iris-setosa\n",
       "1           4.9          3.0           1.4          0.2  Iris-setosa\n",
       "2           4.7          3.2           1.3          0.2  Iris-setosa\n",
       "3           4.6          3.1           1.5          0.2  Iris-setosa\n",
       "4           5.0          3.6           1.4          0.2  Iris-setosa"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_df[:].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Please refer to the Panda documentation during this practical.\n",
    "\n",
    "read csv method doc: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html#pandas.read_csv\n",
    "\n",
    "Some information on merging and combining data frames is at the following link: https://pandas.pydata.org/pandas-docs/stable/merging.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HwKgLfnyAGlZtO46P5x5BlRgdxj/QAtVjLR7tubnsa3D+PNCtG1dV9TdEPIT3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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b92d299940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "x = iris_df[\"sepal length\"]\n",
    "y = iris_df[\"sepal width\"]\n",
    "iris_df[\"class\"]\n",
    "colors = {'Iris-setosa':'red', 'Iris-virginica':'blue', 'Iris-versicolor':'green'}\n",
    "\n",
    "plt.scatter(x, y, c = iris_df[\"class\"].apply(lambda x: colors[x]))\n",
    "\n",
    "#labels\n",
    "plt.xlabel('sepal length')\n",
    "plt.ylabel('sepal width')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Produce a 3-D plot similar to the one from lecture 1 using matplotlib. \n",
    "\n",
    "You should refer to the matplotlib documentation for 3d plotting - see https://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html\n",
    "\n",
    "Recall this image from lecture 1:\n",
    "![Iris](images/iris.png)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mpl_toolkits.mplot3d.art3d.Path3DCollection at 0x1b92d2489e8>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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y1FNvUl3tY8mSdbS0FFJQAD6fTnW1UaQzV8xkTj8+Pr6QvZCXAvcA/wsMAC6g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Pvb3161UdE3vvENfvnLX7J9+3Y0TeNLX/oSe/fu5YorruCmm25idnaWffv2MTk5ydVXX01LS0uO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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b92d2167b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "x = iris_df[\"sepal length\"]\n",
    "y = iris_df[\"petal length\"]\n",
    "z = iris_df[\"petal width\"]\n",
    "iris_df[\"class\"]\n",
    "colors = {'Iris-setosa':'yellow', 'Iris-virginica':'blue', 'Iris-versicolor':'RED'}\n",
    "ax = plt.figure().add_subplot(111, projection='3d')\n",
    "\n",
    "ax.set_xlabel(\"x sepal length\")\n",
    "ax.set_ylabel(\"y petal length\")\n",
    "ax.set_zlabel(\"z petal width\")\n",
    "ax.legend()\n",
    "ax.scatter(x, y, z, s = 20, c = iris_df[\"class\"].apply(lambda x: colors[x]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plot shows the values of two attributes of Iris and indicates the flower class by color.\n",
    "\n",
    "Now we learn a decision tree to classify the iris dataset.\n",
    "\n",
    "Please read the documentation for Decision Trees in sklearn http://scikit-learn.org/stable/modules/tree.html#tree-classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import tree\n",
    "\n",
    "attributes = iris_df[[\"sepal length\",\"sepal width\",\"petal length\",\"petal width\"]]\n",
    "target = iris_df[[\"class\"]]\n",
    "\n",
    "clf = tree.DecisionTreeClassifier(criterion='entropy')\n",
    "clf = clf.fit(attributes,target)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use the decision tree for prediction.\n",
    "\n",
    "First lets predict the values of a feature vector containing [1,1,1,1]:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Iris-versicolor'], dtype=object)"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.predict([[1,1,1,1]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay was predicted to be versicolor."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now try predicting the values of the whole dataset that was used for learning the decision tree and compare with original training data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>prediction</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     prediction        class\n",
       "0   Iris-setosa  Iris-setosa\n",
       "1   Iris-setosa  Iris-setosa\n",
       "2   Iris-setosa  Iris-setosa\n",
       "3   Iris-setosa  Iris-setosa\n",
       "4   Iris-setosa  Iris-setosa\n",
       "5   Iris-setosa  Iris-setosa\n",
       "6   Iris-setosa  Iris-setosa\n",
       "7   Iris-setosa  Iris-setosa\n",
       "8   Iris-setosa  Iris-setosa\n",
       "9   Iris-setosa  Iris-setosa\n",
       "10  Iris-setosa  Iris-setosa\n",
       "11  Iris-setosa  Iris-setosa\n",
       "12  Iris-setosa  Iris-setosa\n",
       "13  Iris-setosa  Iris-setosa\n",
       "14  Iris-setosa  Iris-setosa"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction = clf.predict(attributes)\n",
    "prediction_df = pd.DataFrame({\"prediction\": prediction})\n",
    "prediction_df.head()\n",
    "\n",
    "# create a result that contains the training data classes and the prediction result\n",
    "# use the pandas function concat to join the data frames - note the axis parameter means to join columns\n",
    "training_result = pd.concat([prediction_df, target], axis=1)\n",
    "training_result.head(15)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How can we work out the percentage of correctly classified examples - that is where prediction is equal to the target class in Python?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n"
     ]
    }
   ],
   "source": [
    "# write the code to calculate the misclassifications here...\n",
    "# calculate the proportion of records where the predicted class is not equal to the actual class\n",
    "\n",
    "res = iris_df.loc[:,\"class\"]\n",
    "res2 = res.tolist()\n",
    "counter = 0\n",
    "for i in range(len(prediction)):\n",
    "    if(prediction[i] != res2[i]):\n",
    "        counter += 1\n",
    "\n",
    "print(counter * 100 /len(res))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Training data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You will have noticed there was a very high correspondance between the target and the classification by the decision tree which is not surprising given the decision tree was learned from this information.\n",
    "\n",
    "What if we don't use all of the training data for learning the decision model?\n",
    "\n",
    "In the following we use every second line in the original data file to learn the decision tree that is based on only half the data (the example uses every second row to learn the decision tree):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "attributes_training = attributes[attributes.index % 2 != 0]  # Use very 2rd row, exclude every second element starting from 0 \n",
    "                                                            #(note: % is the modulo operator)\n",
    "target_training = target[target.index % 2 != 0] # every second row\n",
    "\n",
    "# learn the decision tree\n",
    "clf2 = tree.DecisionTreeClassifier(criterion='entropy')\n",
    "clf2 = clf.fit(attributes_training,target_training)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now lets use this model for prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    prediction\n",
       "0  Iris-setosa\n",
       "1  Iris-setosa\n",
       "2  Iris-setosa\n",
       "3  Iris-setosa\n",
       "4  Iris-setosa"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attributes_test = attributes[attributes.index % 2 != 1]  # Use very 2rd row, exclude every second element starting from 0 \n",
    "                                                            #(note: % is the modulo operator)\n",
    "\n",
    "prediction = clf.predict(attributes_test)\n",
    "prediction_df_1 = pd.DataFrame({\"prediction\": prediction,})\n",
    "prediction_df_1.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To evaluate how good the decision tree is at making predictions on \"new\", unseen data (that is unseen during the process of constructing the model) compare the actual value of the target (ie the one in the file) with decision tree predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>prediction</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    prediction        class\n",
       "0  Iris-setosa  Iris-setosa\n",
       "1  Iris-setosa  Iris-setosa\n",
       "2  Iris-setosa  Iris-setosa\n",
       "3  Iris-setosa  Iris-setosa\n",
       "4  Iris-setosa  Iris-setosa"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "actual_class_test = target[target.index % 2 != 1] \n",
    "actual_class_test.index=range(75)\n",
    "\n",
    "training_result = pd.concat([prediction_df_1, actual_class_test], axis=1)\n",
    "\n",
    "training_result.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the above you can quickly observe the results of the prediction differ from the original dataset. \n",
    "\n",
    "Use your method to calculate the misclassification percentage to evaluate the decision tree classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error rate = 6.666667 percent\n"
     ]
    }
   ],
   "source": [
    "rowNum = training_result[\"prediction\"].count()\n",
    "wrongNum = sum(training_result[\"prediction\"] != training_result[\"class\"])\n",
    "percentage = (wrongNum / rowNum) * 100\n",
    "print (\"Error rate = %f percent\" % percentage)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Exercise"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now download another dataset from the UCI Machine Learning Repository and perform a similar analysis.\n",
    "\n",
    "Make sure to choose one the classification problems: https://archive.ics.uci.edu/ml/datasets.html?format=&task=cla&att=&area=&numAtt=&numIns=100to1000&type=&sort=nameUp&view=table\n",
    "\n",
    "It would be a good idea to have a look also at the dataset in your browser to find one us\n",
    "\n",
    "1. First perform some initial examinations of the data using head etc\n",
    "1. Then generate summary statistics\n",
    "1. Next generate some plots to visualise the data\n",
    "1. Then learn a decision tree classifier "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>Left-Weight</th>\n",
       "      <th>Left-Distance</th>\n",
       "      <th>Right-Weight</th>\n",
       "      <th>Right-Distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>R</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>R</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>R</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  class  Left-Weight  Left-Distance  Right-Weight  Right-Distance\n",
       "0     B            1              1             1               1\n",
       "1     R            1              1             1               2\n",
       "2     R            1              1             1               3\n",
       "3     R            1              1             1               4\n",
       "4     R            1              1             1               5"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# You can put your code here and try to make it easy for another person to read.\n",
    "# For the final version you probably don't need more than one cells for each of the \n",
    "# points 1-4 above. Make sure to delete  empty cells when you are finished using the little \n",
    "# sissors icon at the top\n",
    "import urllib.request\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/balance-scale/balance-scale.data'\n",
    "response = urllib.request.urlopen(url)\n",
    "data = response.read()      # a raw bits 'bytes' object\n",
    "text = data.decode('utf-8') # use the utf-8 string format to create a string 'str' object \n",
    "balence_df=pd.read_csv(url, names=(\"class\",\"Left-Weight\",\"Left-Distance\",\"Right-Weight\",\"Right-Distance\"))\n",
    "balence_df.head()# Panda object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Left-Weight</th>\n",
       "      <td>625.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.415346</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Left-Distance</th>\n",
       "      <td>625.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.415346</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Right-Weight</th>\n",
       "      <td>625.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.415346</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Right-Distance</th>\n",
       "      <td>625.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.415346</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                count  mean       std  min  25%  50%  75%  max\n",
       "Left-Weight     625.0   3.0  1.415346  1.0  2.0  3.0  4.0  5.0\n",
       "Left-Distance   625.0   3.0  1.415346  1.0  2.0  3.0  4.0  5.0\n",
       "Right-Weight    625.0   3.0  1.415346  1.0  2.0  3.0  4.0  5.0\n",
       "Right-Distance  625.0   3.0  1.415346  1.0  2.0  3.0  4.0  5.0"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "balence_df.describe().transpose()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8x5rJr2VLe7sGD7ba9fHH9jI1aljtysmxl3HLHXdY7fowSDKuAQNUu4BMly72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\nGUiSMBlIkjAZSJKAD1L9lkfn2zRRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21cf2f53c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "rw = balence_df.loc[:,\"Right-Weight\"]\n",
    "rd = balence_df.loc[:,\"Right-Distance\"]\n",
    "lw = balence_df.loc[:,\"Left-Weight\"]\n",
    "ld = balence_df.loc[:,\"Left-Distance\"]\n",
    "   \n",
    "x = rw * rd\n",
    "y = lw * ld\n",
    "colors = {'R':'red', 'L':'blue', 'B':'green'}\n",
    "plt.scatter(x,y,c= balence_df[\"class\"].apply(lambda x: colors[x]))\n",
    "plt.xlabel('right_weight*distance')\n",
    "plt.ylabel('left_weight*distance')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['R', 'B', 'L'], dtype=object)"
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import tree\n",
    "attribute2 = pd.DataFrame({\"right\":rw*rd,\"left\":lw*ld})\n",
    "target2 = balence_df[[\"class\"]]\n",
    "\n",
    "clf = tree.DecisionTreeClassifier(criterion='entropy')\n",
    "clf = clf.fit(attribute2, target2)\n",
    "#print(attrddibute)\n",
    "clf.predict([[1,2],[1,1],[2,1]])"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
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    {
     "data": {
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>prediction</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "      <th>2</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "      <th>6</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "      <th>7</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>R</td>\n",
       "      <td>R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>602</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>604</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>606</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>607</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>608</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>613</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>614</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>616</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>617</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>618</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>619</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624</th>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>625 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    prediction class\n",
       "0            B     B\n",
       "1            R     R\n",
       "2            R     R\n",
       "3            R     R\n",
       "4            R     R\n",
       "5            R     R\n",
       "6            R     R\n",
       "7            R     R\n",
       "8            R     R\n",
       "9            R     R\n",
       "10           R     R\n",
       "11           R     R\n",
       "12           R     R\n",
       "13           R     R\n",
       "14           R     R\n",
       "15           R     R\n",
       "16           R     R\n",
       "17           R     R\n",
       "18           R     R\n",
       "19           R     R\n",
       "20           R     R\n",
       "21           R     R\n",
       "22           R     R\n",
       "23           R     R\n",
       "24           R     R\n",
       "25           L     L\n",
       "26           B     B\n",
       "27           R     R\n",
       "28           R     R\n",
       "29           R     R\n",
       "..         ...   ...\n",
       "595          L     L\n",
       "596          L     L\n",
       "597          L     L\n",
       "598          B     B\n",
       "599          R     R\n",
       "600          L     L\n",
       "601          L     L\n",
       "602          L     L\n",
       "603          L     L\n",
       "604          L     L\n",
       "605          L     L\n",
       "606          L     L\n",
       "607          L     L\n",
       "608          L     L\n",
       "609          L     L\n",
       "610          L     L\n",
       "611          L     L\n",
       "612          L     L\n",
       "613          L     L\n",
       "614          L     L\n",
       "615          L     L\n",
       "616          L     L\n",
       "617          L     L\n",
       "618          L     L\n",
       "619          L     L\n",
       "620          L     L\n",
       "621          L     L\n",
       "622          L     L\n",
       "623          L     L\n",
       "624          B     B\n",
       "\n",
       "[625 rows x 2 columns]"
      ]
     },
     "execution_count": 282,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction2 = clf.predict(attribute2)\n",
    "prediction2_df = pd.DataFrame({\"prediction\": prediction2})\n",
    "training_result2 = pd.concat([prediction2_df, target2], axis=1)\n",
    "training_result2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "col1 = training_result2.loc[:,\"class\"]\n",
    "col2 = training_result2.loc[:,\"prediction\"]\n",
    "col1_list = col1.tolist()\n",
    "col2_list = col2.tolist()\n",
    "counter2 = 0\n",
    "for i in range(len(col1)):\n",
    "    if(col1_list[i] != col2_list[i]):\n",
    "        counter2 += 1\n",
    "#training_result2[1]\n",
    "print(counter2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Going forward\n",
    "Spend some time to go over the work in this and the previous tutorial to become confortable with the material. Also don't worry too much if you are not quite comfortable with parts 3 and 4. Programming in Python, and programming generally, requires frequent consulting of docs and searching online especially when you are starting out with a new tool."
   ]
  }
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