Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ad86a6eb",
   "metadata": {},
   "source": [
    "## Inputting negative and positive words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "307ab6e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f2d5bdcd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_Auditor.txt\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_Currencies.txt\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_DatesandNumbers.txt\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_Generic.txt\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_GenericLong.txt\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_Geographic.txt\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_Names.txt\n"
     ]
    }
   ],
   "source": [
    "stopL=[]\n",
    "for filename in os.listdir(r'C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords'):\n",
    "    f = os.path.join(r'C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords', filename)\n",
    "    # checking if it is a file\n",
    "    if os.path.isfile(f):\n",
    "        print(f)\n",
    "        stopL.append(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bb14e554",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_Auditor.txt\n",
      "\n",
      "Line 1: ERNST\n",
      "Line 2: YOUNG\n",
      "Line 3: DELOITTE\n",
      "Line 4: TOUCHE\n",
      "Line 5: KPMG\n",
      "Line 6: PRICEWATERHOUSECOOPERS\n",
      "Line 7: PRICEWATERHOUSE\n",
      "Line 8: COOPERS\n",
      "***************************************************************************\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_Currencies.txt\n",
      "\n",
      "Line 1: AFGHANI\n",
      "Line 2: ARIARY\n",
      "Line 3: BAHT\n",
      "Line 4: BALBOA\n",
      "Line 5: BIRR\n",
      "Line 6: BOLIVAR\n",
      "Line 7: BOLIVIANO\n",
      "Line 8: CEDI\n",
      "Line 9: COLON\n",
      "Line 10: CÓRDOBA\n",
      "Line 11: DALASI\n",
      "Line 12: DENAR\n",
      "Line 13: DINAR\n",
      "Line 14: DIRHAM\n",
      "Line 15: DOBRA\n",
      "Line 16: DONG\n",
      "Line 17: DRAM\n",
      "Line 18: ESCUDO\n",
      "Line 19: EURO\n",
      "Line 20: FLORIN\n",
      "Line 21: FORINT\n",
      "Line 22: GOURDE\n",
      "Line 23: GUARANI\n",
      "Line 24: GULDEN\n",
      "Line 25: HRYVNIA\n",
      "Line 26: KINA\n",
      "Line 27: KIP\n",
      "Line 28: KONVERTIBILNA\n",
      "Line 29: KORUNA\n",
      "Line 30: KRONA\n",
      "Line 31: KRONE\n",
      "Line 32: KROON\n",
      "Line 33: KUNA\n",
      "Line 34: KWACHA\n",
      "Line 35: KWANZA\n",
      "Line 36: KYAT\n",
      "Line 37: LARI\n",
      "Line 38: LATS\n",
      "Line 39: LEK\n",
      "Line 40: LEMPIRA\n",
      "Line 41: LEONE\n",
      "Line 42: LEU\n",
      "Line 43: LEV\n",
      "Line 44: LILANGENI\n",
      "Line 45: LIRA\n",
      "Line 46: LITAS\n",
      "Line 47: LOTI\n",
      "Line 48: MANAT\n",
      "Line 49: METICAL\n",
      "Line 50: NAIRA\n",
      "Line 51: NAKFA\n",
      "Line 52: NEW\n",
      "Line 53: NEW\n",
      "Line 54: NGULTRUM\n",
      "Line 55: NUEVO\n",
      "Line 56: OUGUIYA\n",
      "Line 57: PATACA\n",
      "Line 58: PESO\n",
      "Line 59: POUND\n",
      "Line 60: PULA\n",
      "Line 61: QUETZAL\n",
      "Line 62: RAND\n",
      "Line 63: REAL\n",
      "Line 64: RENMINBI\n",
      "Line 65: RIAL\n",
      "Line 66: RIEL\n",
      "Line 67: RINGGIT\n",
      "Line 68: RIYAL\n",
      "Line 69: RUBLE\n",
      "Line 70: RUFIYAA\n",
      "Line 71: RUPEE\n",
      "Line 72: RUPEE\n",
      "Line 73: RUPIAH\n",
      "Line 74: SHILLING\n",
      "Line 75: SOM\n",
      "Line 76: SOMONI\n",
      "Line 77: SPECIAL\n",
      "Line 78: TAKA\n",
      "Line 79: TALA\n",
      "Line 80: TENGE\n",
      "Line 81: TUGRIK\n",
      "Line 82: VATU\n",
      "Line 83: WON\n",
      "Line 84: YEN\n",
      "Line 85: ZLOTY\n",
      "***************************************************************************\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_DatesandNumbers.txt\n",
      "\n",
      "Line 1: HUNDRED\n",
      "Line 2: THOUSAND\n",
      "Line 3: MILLION\n",
      "Line 4: BILLION\n",
      "Line 5: TRILLION\n",
      "Line 6: DATE\n",
      "Line 7: ANNUAL\n",
      "Line 8: ANNUALLY\n",
      "Line 9: ANNUM\n",
      "Line 10: YEAR\n",
      "Line 11: YEARLY\n",
      "Line 12: QUARTER\n",
      "Line 13: QUARTERLY\n",
      "Line 14: QTR\n",
      "Line 15: MONTH\n",
      "Line 16: MONTHLY\n",
      "Line 17: WEEK\n",
      "Line 18: WEEKLY\n",
      "Line 19: DAY\n",
      "Line 20: DAILY\n",
      "Line 21: JANUARY\n",
      "Line 22: FEBRUARY\n",
      "Line 23: MARCH\n",
      "Line 24: APRIL\n",
      "Line 25: MAY\n",
      "Line 26: JUNE\n",
      "Line 27: JULY\n",
      "Line 28: AUGUST\n",
      "Line 29: SEPTEMBER\n",
      "Line 30: OCTOBER\n",
      "Line 31: NOVEMBER\n",
      "Line 32: DECEMBER\n",
      "Line 33: JAN\n",
      "Line 34: FEB\n",
      "Line 35: MAR\n",
      "Line 36: APR\n",
      "Line 37: MAY\n",
      "Line 38: JUN\n",
      "Line 39: JUL\n",
      "Line 40: AUG\n",
      "Line 41: SEP\n",
      "Line 42: SEPT\n",
      "Line 43: OCT\n",
      "Line 44: NOV\n",
      "Line 45: DEC\n",
      "Line 46: MONDAY\n",
      "Line 47: TUESDAY\n",
      "Line 48: WEDNESDAY\n",
      "Line 49: THURSDAY\n",
      "Line 50: FRIDAY\n",
      "Line 51: SATURDAY\n",
      "Line 52: SUNDAY\n",
      "Line 53: ONE\n",
      "Line 54: TWO\n",
      "Line 55: THREE\n",
      "Line 56: FOUR\n",
      "Line 57: FIVE\n",
      "Line 58: SIX\n",
      "Line 59: SEVEN\n",
      "Line 60: EIGHT\n",
      "Line 61: NINE\n",
      "Line 62: TEN\n",
      "Line 63: ELEVEN\n",
      "Line 64: TWELVE\n",
      "Line 65: THIRTEEN\n",
      "Line 66: FOURTEEN\n",
      "Line 67: FIFTEEN\n",
      "Line 68: SIXTEEN\n",
      "Line 69: SEVENTEEN\n",
      "Line 70: EIGHTEEN\n",
      "Line 71: NINETEEN\n",
      "Line 72: TWENTY\n",
      "Line 73: THIRTY\n",
      "Line 74: FORTY\n",
      "Line 75: FIFTY\n",
      "Line 76: SIXTY\n",
      "Line 77: SEVENTY\n",
      "Line 78: EIGHTY\n",
      "Line 79: NINETY\n",
      "Line 80: FIRST\n",
      "Line 81: SECOND\n",
      "Line 82: THIRD\n",
      "Line 83: FOURTH\n",
      "Line 84: FIFTH\n",
      "Line 85: SIXTH\n",
      "Line 86: SEVENTH\n",
      "Line 87: EIGHTH\n",
      "Line 88: NINTH\n",
      "Line 89: TENTH\n",
      "Line 90: I\n",
      "Line 91: II\n",
      "Line 92: III\n",
      "Line 93: IV\n",
      "Line 94: V\n",
      "Line 95: VI\n",
      "Line 96: VII\n",
      "Line 97: VIII\n",
      "Line 98: IX\n",
      "Line 99: X\n",
      "Line 100: XI\n",
      "Line 101: XII\n",
      "Line 102: XIII\n",
      "Line 103: XIV\n",
      "Line 104: XV\n",
      "Line 105: XVI\n",
      "Line 106: XVII\n",
      "Line 107: XVIII\n",
      "Line 108: XIX\n",
      "Line 109: XX\n",
      "***************************************************************************\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_Generic.txt\n",
      "\n",
      "Line 1: ABOUT\n",
      "Line 2: ABOVE\n",
      "Line 3: AFTER\n",
      "Line 4: AGAIN\n",
      "Line 5: ALL\n",
      "Line 6: AM\n",
      "Line 7: AMONG\n",
      "Line 8: AN\n",
      "Line 9: AND\n",
      "Line 10: ANY\n",
      "Line 11: ARE\n",
      "Line 12: AS\n",
      "Line 13: AT\n",
      "Line 14: BE\n",
      "Line 15: BECAUSE\n",
      "Line 16: BEEN\n",
      "Line 17: BEFORE\n",
      "Line 18: BEING\n",
      "Line 19: BELOW\n",
      "Line 20: BETWEEN\n",
      "Line 21: BOTH\n",
      "Line 22: BUT\n",
      "Line 23: BY\n",
      "Line 24: CAN\n",
      "Line 25: DID\n",
      "Line 26: DO\n",
      "Line 27: DOES\n",
      "Line 28: DOING\n",
      "Line 29: DOWN\n",
      "Line 30: DURING\n",
      "Line 31: EACH\n",
      "Line 32: FEW\n",
      "Line 33: FOR\n",
      "Line 34: FROM\n",
      "Line 35: FURTHER\n",
      "Line 36: HAD\n",
      "Line 37: HAS\n",
      "Line 38: HAVE\n",
      "Line 39: HAVING\n",
      "Line 40: HE\n",
      "Line 41: HER\n",
      "Line 42: HERE\n",
      "Line 43: HERS\n",
      "Line 44: HERSELF\n",
      "Line 45: HIM\n",
      "Line 46: HIMSELF\n",
      "Line 47: HIS\n",
      "Line 48: HOW\n",
      "Line 49: IF\n",
      "Line 50: IN\n",
      "Line 51: INTO\n",
      "Line 52: IS\n",
      "Line 53: IT\n",
      "Line 54: ITS\n",
      "Line 55: ITSELF\n",
      "Line 56: JUST\n",
      "Line 57: ME\n",
      "Line 58: MORE\n",
      "Line 59: MOST\n",
      "Line 60: MY\n",
      "Line 61: MYSELF\n",
      "Line 62: NO\n",
      "Line 63: NOR\n",
      "Line 64: NOT\n",
      "Line 65: NOW\n",
      "Line 66: OF\n",
      "Line 67: OFF\n",
      "Line 68: ON\n",
      "Line 69: ONCE\n",
      "Line 70: ONLY\n",
      "Line 71: OR\n",
      "Line 72: OTHER\n",
      "Line 73: OUR\n",
      "Line 74: OURS\n",
      "Line 75: OURSELVES\n",
      "Line 76: OUT\n",
      "Line 77: OVER\n",
      "Line 78: OWN\n",
      "Line 79: SAME\n",
      "Line 80: SHE\n",
      "Line 81: SHOULD\n",
      "Line 82: SO\n",
      "Line 83: SOME\n",
      "Line 84: SUCH\n",
      "Line 85: THAN\n",
      "Line 86: THAT\n",
      "Line 87: THE\n",
      "Line 88: THEIR\n",
      "Line 89: THEIRS\n",
      "Line 90: THEM\n",
      "Line 91: THEMSELVES\n",
      "Line 92: THEN\n",
      "Line 93: THERE\n",
      "Line 94: THESE\n",
      "Line 95: THEY\n",
      "Line 96: THIS\n",
      "Line 97: THOSE\n",
      "Line 98: THROUGH\n",
      "Line 99: TO\n",
      "Line 100: TOO\n",
      "Line 101: UNDER\n",
      "Line 102: UNTIL\n",
      "Line 103: UP\n",
      "Line 104: VERY\n",
      "Line 105: WAS\n",
      "Line 106: WE\n",
      "Line 107: WERE\n",
      "Line 108: WHAT\n",
      "Line 109: WHEN\n",
      "Line 110: WHERE\n",
      "Line 111: WHICH\n",
      "Line 112: WHILE\n",
      "Line 113: WHO\n",
      "Line 114: WHOM\n",
      "Line 115: WHY\n",
      "Line 116: WITH\n",
      "Line 117: YOU\n",
      "Line 118: YOUR\n",
      "Line 119: YOURS\n",
      "Line 120: YOURSELF\n",
      "Line 121: YOURSELVES\n",
      "***************************************************************************\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_GenericLong.txt\n",
      "\n",
      "Line 1: a\n",
      "Line 2: a's\n",
      "Line 3: able\n",
      "Line 4: about\n",
      "Line 5: above\n",
      "Line 6: according\n",
      "Line 7: accordingly\n",
      "Line 8: across\n",
      "Line 9: actually\n",
      "Line 10: after\n",
      "Line 11: afterwards\n",
      "Line 12: again\n",
      "Line 13: against\n",
      "Line 14: ain't\n",
      "Line 15: all\n",
      "Line 16: allow\n",
      "Line 17: allows\n",
      "Line 18: almost\n",
      "Line 19: alone\n",
      "Line 20: along\n",
      "Line 21: already\n",
      "Line 22: also\n",
      "Line 23: although\n",
      "Line 24: always\n",
      "Line 25: am\n",
      "Line 26: among\n",
      "Line 27: amongst\n",
      "Line 28: an\n",
      "Line 29: and\n",
      "Line 30: another\n",
      "Line 31: any\n",
      "Line 32: anybody\n",
      "Line 33: anyhow\n",
      "Line 34: anyone\n",
      "Line 35: anything\n",
      "Line 36: anyway\n",
      "Line 37: anyways\n",
      "Line 38: anywhere\n",
      "Line 39: apart\n",
      "Line 40: appear\n",
      "Line 41: appreciate\n",
      "Line 42: appropriate\n",
      "Line 43: are\n",
      "Line 44: aren't\n",
      "Line 45: around\n",
      "Line 46: as\n",
      "Line 47: aside\n",
      "Line 48: ask\n",
      "Line 49: asking\n",
      "Line 50: associated\n",
      "Line 51: at\n",
      "Line 52: available\n",
      "Line 53: away\n",
      "Line 54: awfully\n",
      "Line 55: b\n",
      "Line 56: be\n",
      "Line 57: became\n",
      "Line 58: because\n",
      "Line 59: become\n",
      "Line 60: becomes\n",
      "Line 61: becoming\n",
      "Line 62: been\n",
      "Line 63: before\n",
      "Line 64: beforehand\n",
      "Line 65: behind\n",
      "Line 66: being\n",
      "Line 67: believe\n",
      "Line 68: below\n",
      "Line 69: beside\n",
      "Line 70: besides\n",
      "Line 71: best\n",
      "Line 72: better\n",
      "Line 73: between\n",
      "Line 74: beyond\n",
      "Line 75: both\n",
      "Line 76: brief\n",
      "Line 77: but\n",
      "Line 78: by\n",
      "Line 79: c\n",
      "Line 80: c'mon\n",
      "Line 81: c's\n",
      "Line 82: came\n",
      "Line 83: can\n",
      "Line 84: can't\n",
      "Line 85: cannot\n",
      "Line 86: cant\n",
      "Line 87: cause\n",
      "Line 88: causes\n",
      "Line 89: certain\n",
      "Line 90: certainly\n",
      "Line 91: changes\n",
      "Line 92: clearly\n",
      "Line 93: co\n",
      "Line 94: com\n",
      "Line 95: come\n",
      "Line 96: comes\n",
      "Line 97: concerning\n",
      "Line 98: consequently\n",
      "Line 99: consider\n",
      "Line 100: considering\n",
      "Line 101: contain\n",
      "Line 102: containing\n",
      "Line 103: contains\n",
      "Line 104: corresponding\n",
      "Line 105: could\n",
      "Line 106: couldn't\n",
      "Line 107: course\n",
      "Line 108: currently\n",
      "Line 109: d\n",
      "Line 110: definitely\n",
      "Line 111: described\n",
      "Line 112: despite\n",
      "Line 113: did\n",
      "Line 114: didn't\n",
      "Line 115: different\n",
      "Line 116: do\n",
      "Line 117: does\n",
      "Line 118: doesn't\n",
      "Line 119: doing\n",
      "Line 120: don't\n",
      "Line 121: done\n",
      "Line 122: down\n",
      "Line 123: downwards\n",
      "Line 124: during\n",
      "Line 125: e\n",
      "Line 126: each\n",
      "Line 127: edu\n",
      "Line 128: eg\n",
      "Line 129: eight\n",
      "Line 130: either\n",
      "Line 131: else\n",
      "Line 132: elsewhere\n",
      "Line 133: enough\n",
      "Line 134: entirely\n",
      "Line 135: especially\n",
      "Line 136: et\n",
      "Line 137: etc\n",
      "Line 138: even\n",
      "Line 139: ever\n",
      "Line 140: every\n",
      "Line 141: everybody\n",
      "Line 142: everyone\n",
      "Line 143: everything\n",
      "Line 144: everywhere\n",
      "Line 145: ex\n",
      "Line 146: exactly\n",
      "Line 147: example\n",
      "Line 148: except\n",
      "Line 149: f\n",
      "Line 150: far\n",
      "Line 151: few\n",
      "Line 152: fifth\n",
      "Line 153: first\n",
      "Line 154: five\n",
      "Line 155: followed\n",
      "Line 156: following\n",
      "Line 157: follows\n",
      "Line 158: for\n",
      "Line 159: former\n",
      "Line 160: formerly\n",
      "Line 161: forth\n",
      "Line 162: four\n",
      "Line 163: from\n",
      "Line 164: further\n",
      "Line 165: furthermore\n",
      "Line 166: g\n",
      "Line 167: get\n",
      "Line 168: gets\n",
      "Line 169: getting\n",
      "Line 170: given\n",
      "Line 171: gives\n",
      "Line 172: go\n",
      "Line 173: goes\n",
      "Line 174: going\n",
      "Line 175: gone\n",
      "Line 176: got\n",
      "Line 177: gotten\n",
      "Line 178: greetings\n",
      "Line 179: h\n",
      "Line 180: had\n",
      "Line 181: hadn't\n",
      "Line 182: happens\n",
      "Line 183: hardly\n",
      "Line 184: has\n",
      "Line 185: hasn't\n",
      "Line 186: have\n",
      "Line 187: haven't\n",
      "Line 188: having\n",
      "Line 189: he\n",
      "Line 190: he's\n",
      "Line 191: hello\n",
      "Line 192: help\n",
      "Line 193: hence\n",
      "Line 194: her\n",
      "Line 195: here\n",
      "Line 196: here's\n",
      "Line 197: hereafter\n",
      "Line 198: hereby\n",
      "Line 199: herein\n",
      "Line 200: hereupon\n",
      "Line 201: hers\n",
      "Line 202: herself\n",
      "Line 203: hi\n",
      "Line 204: him\n",
      "Line 205: himself\n",
      "Line 206: his\n",
      "Line 207: hither\n",
      "Line 208: hopefully\n",
      "Line 209: how\n",
      "Line 210: howbeit\n",
      "Line 211: however\n",
      "Line 212: i\n",
      "Line 213: i'd\n",
      "Line 214: i'll\n",
      "Line 215: i'm\n",
      "Line 216: i've\n",
      "Line 217: ie\n",
      "Line 218: if\n",
      "Line 219: ignored\n",
      "Line 220: immediate\n",
      "Line 221: in\n",
      "Line 222: inasmuch\n",
      "Line 223: inc\n",
      "Line 224: indeed\n",
      "Line 225: indicate\n",
      "Line 226: indicated\n",
      "Line 227: indicates\n",
      "Line 228: inner\n",
      "Line 229: insofar\n",
      "Line 230: instead\n",
      "Line 231: into\n",
      "Line 232: inward\n",
      "Line 233: is\n",
      "Line 234: isn't\n",
      "Line 235: it\n",
      "Line 236: it'd\n",
      "Line 237: it'll\n",
      "Line 238: it's\n",
      "Line 239: its\n",
      "Line 240: itself\n",
      "Line 241: j\n",
      "Line 242: just\n",
      "Line 243: k\n",
      "Line 244: keep\n",
      "Line 245: keeps\n",
      "Line 246: kept\n",
      "Line 247: know\n",
      "Line 248: knows\n",
      "Line 249: known\n",
      "Line 250: l\n",
      "Line 251: last\n",
      "Line 252: lately\n",
      "Line 253: later\n",
      "Line 254: latter\n",
      "Line 255: latterly\n",
      "Line 256: least\n",
      "Line 257: less\n",
      "Line 258: lest\n",
      "Line 259: let\n",
      "Line 260: let's\n",
      "Line 261: like\n",
      "Line 262: liked\n",
      "Line 263: likely\n",
      "Line 264: little\n",
      "Line 265: look\n",
      "Line 266: looking\n",
      "Line 267: looks\n",
      "Line 268: ltd\n",
      "Line 269: m\n",
      "Line 270: mainly\n",
      "Line 271: many\n",
      "Line 272: may\n",
      "Line 273: maybe\n",
      "Line 274: me\n",
      "Line 275: mean\n",
      "Line 276: meanwhile\n",
      "Line 277: merely\n",
      "Line 278: might\n",
      "Line 279: more\n",
      "Line 280: moreover\n",
      "Line 281: most\n",
      "Line 282: mostly\n",
      "Line 283: much\n",
      "Line 284: must\n",
      "Line 285: my\n",
      "Line 286: myself\n",
      "Line 287: n\n",
      "Line 288: name\n",
      "Line 289: namely\n",
      "Line 290: nd\n",
      "Line 291: near\n",
      "Line 292: nearly\n",
      "Line 293: necessary\n",
      "Line 294: need\n",
      "Line 295: needs\n",
      "Line 296: neither\n",
      "Line 297: never\n",
      "Line 298: nevertheless\n",
      "Line 299: new\n",
      "Line 300: next\n",
      "Line 301: nine\n",
      "Line 302: no\n",
      "Line 303: nobody\n",
      "Line 304: non\n",
      "Line 305: none\n",
      "Line 306: noone\n",
      "Line 307: nor\n",
      "Line 308: normally\n",
      "Line 309: not\n",
      "Line 310: nothing\n",
      "Line 311: novel\n",
      "Line 312: now\n",
      "Line 313: nowhere\n",
      "Line 314: o\n",
      "Line 315: obviously\n",
      "Line 316: of\n",
      "Line 317: off\n",
      "Line 318: often\n",
      "Line 319: oh\n",
      "Line 320: ok\n",
      "Line 321: okay\n",
      "Line 322: old\n",
      "Line 323: on\n",
      "Line 324: once\n",
      "Line 325: one\n",
      "Line 326: ones\n",
      "Line 327: only\n",
      "Line 328: onto\n",
      "Line 329: or\n",
      "Line 330: other\n",
      "Line 331: others\n",
      "Line 332: otherwise\n",
      "Line 333: ought\n",
      "Line 334: our\n",
      "Line 335: ours\n",
      "Line 336: ourselves\n",
      "Line 337: out\n",
      "Line 338: outside\n",
      "Line 339: over\n",
      "Line 340: overall\n",
      "Line 341: own\n",
      "Line 342: p\n",
      "Line 343: particular\n",
      "Line 344: particularly\n",
      "Line 345: per\n",
      "Line 346: perhaps\n",
      "Line 347: placed\n",
      "Line 348: please\n",
      "Line 349: plus\n",
      "Line 350: possible\n",
      "Line 351: presumably\n",
      "Line 352: probably\n",
      "Line 353: provides\n",
      "Line 354: q\n",
      "Line 355: que\n",
      "Line 356: quite\n",
      "Line 357: qv\n",
      "Line 358: r\n",
      "Line 359: rather\n",
      "Line 360: rd\n",
      "Line 361: re\n",
      "Line 362: really\n",
      "Line 363: reasonably\n",
      "Line 364: regarding\n",
      "Line 365: regardless\n",
      "Line 366: regards\n",
      "Line 367: relatively\n",
      "Line 368: respectively\n",
      "Line 369: right\n",
      "Line 370: s\n",
      "Line 371: said\n",
      "Line 372: same\n",
      "Line 373: saw\n",
      "Line 374: say\n",
      "Line 375: saying\n",
      "Line 376: says\n",
      "Line 377: second\n",
      "Line 378: secondly\n",
      "Line 379: see\n",
      "Line 380: seeing\n",
      "Line 381: seem\n",
      "Line 382: seemed\n",
      "Line 383: seeming\n",
      "Line 384: seems\n",
      "Line 385: seen\n",
      "Line 386: self\n",
      "Line 387: selves\n",
      "Line 388: sensible\n",
      "Line 389: sent\n",
      "Line 390: serious\n",
      "Line 391: seriously\n",
      "Line 392: seven\n",
      "Line 393: several\n",
      "Line 394: shall\n",
      "Line 395: she\n",
      "Line 396: should\n",
      "Line 397: shouldn't\n",
      "Line 398: since\n",
      "Line 399: six\n",
      "Line 400: so\n",
      "Line 401: some\n",
      "Line 402: somebody\n",
      "Line 403: somehow\n",
      "Line 404: someone\n",
      "Line 405: something\n",
      "Line 406: sometime\n",
      "Line 407: sometimes\n",
      "Line 408: somewhat\n",
      "Line 409: somewhere\n",
      "Line 410: soon\n",
      "Line 411: sorry\n",
      "Line 412: specified\n",
      "Line 413: specify\n",
      "Line 414: specifying\n",
      "Line 415: still\n",
      "Line 416: sub\n",
      "Line 417: such\n",
      "Line 418: sup\n",
      "Line 419: sure\n",
      "Line 420: t\n",
      "Line 421: t's\n",
      "Line 422: take\n",
      "Line 423: taken\n",
      "Line 424: tell\n",
      "Line 425: tends\n",
      "Line 426: th\n",
      "Line 427: than\n",
      "Line 428: thank\n",
      "Line 429: thanks\n",
      "Line 430: thanx\n",
      "Line 431: that\n",
      "Line 432: that's\n",
      "Line 433: thats\n",
      "Line 434: the\n",
      "Line 435: their\n",
      "Line 436: theirs\n",
      "Line 437: them\n",
      "Line 438: themselves\n",
      "Line 439: then\n",
      "Line 440: thence\n",
      "Line 441: there\n",
      "Line 442: there's\n",
      "Line 443: thereafter\n",
      "Line 444: thereby\n",
      "Line 445: therefore\n",
      "Line 446: therein\n",
      "Line 447: theres\n",
      "Line 448: thereupon\n",
      "Line 449: these\n",
      "Line 450: they\n",
      "Line 451: they'd\n",
      "Line 452: they'll\n",
      "Line 453: they're\n",
      "Line 454: they've\n",
      "Line 455: think\n",
      "Line 456: third\n",
      "Line 457: this\n",
      "Line 458: thorough\n",
      "Line 459: thoroughly\n",
      "Line 460: those\n",
      "Line 461: though\n",
      "Line 462: three\n",
      "Line 463: through\n",
      "Line 464: throughout\n",
      "Line 465: thru\n",
      "Line 466: thus\n",
      "Line 467: to\n",
      "Line 468: together\n",
      "Line 469: too\n",
      "Line 470: took\n",
      "Line 471: toward\n",
      "Line 472: towards\n",
      "Line 473: tried\n",
      "Line 474: tries\n",
      "Line 475: truly\n",
      "Line 476: try\n",
      "Line 477: trying\n",
      "Line 478: twice\n",
      "Line 479: two\n",
      "Line 480: u\n",
      "Line 481: un\n",
      "Line 482: under\n",
      "Line 483: unfortunately\n",
      "Line 484: unless\n",
      "Line 485: unlikely\n",
      "Line 486: until\n",
      "Line 487: unto\n",
      "Line 488: up\n",
      "Line 489: upon\n",
      "Line 490: us\n",
      "Line 491: use\n",
      "Line 492: used\n",
      "Line 493: useful\n",
      "Line 494: uses\n",
      "Line 495: using\n",
      "Line 496: usually\n",
      "Line 497: uucp\n",
      "Line 498: v\n",
      "Line 499: value\n",
      "Line 500: various\n",
      "Line 501: very\n",
      "Line 502: via\n",
      "Line 503: viz\n",
      "Line 504: vs\n",
      "Line 505: w\n",
      "Line 506: want\n",
      "Line 507: wants\n",
      "Line 508: was\n",
      "Line 509: wasn't\n",
      "Line 510: way\n",
      "Line 511: we\n",
      "Line 512: we'd\n",
      "Line 513: we'll\n",
      "Line 514: we're\n",
      "Line 515: we've\n",
      "Line 516: welcome\n",
      "Line 517: well\n",
      "Line 518: went\n",
      "Line 519: were\n",
      "Line 520: weren't\n",
      "Line 521: what\n",
      "Line 522: what's\n",
      "Line 523: whatever\n",
      "Line 524: when\n",
      "Line 525: whence\n",
      "Line 526: whenever\n",
      "Line 527: where\n",
      "Line 528: where's\n",
      "Line 529: whereafter\n",
      "Line 530: whereas\n",
      "Line 531: whereby\n",
      "Line 532: wherein\n",
      "Line 533: whereupon\n",
      "Line 534: wherever\n",
      "Line 535: whether\n",
      "Line 536: which\n",
      "Line 537: while\n",
      "Line 538: whither\n",
      "Line 539: who\n",
      "Line 540: who's\n",
      "Line 541: whoever\n",
      "Line 542: whole\n",
      "Line 543: whom\n",
      "Line 544: whose\n",
      "Line 545: why\n",
      "Line 546: will\n",
      "Line 547: willing\n",
      "Line 548: wish\n",
      "Line 549: with\n",
      "Line 550: within\n",
      "Line 551: without\n",
      "Line 552: won't\n",
      "Line 553: wonder\n",
      "Line 554: would\n",
      "Line 555: would\n",
      "Line 556: wouldn't\n",
      "Line 557: x\n",
      "Line 558: y\n",
      "Line 559: yes\n",
      "Line 560: yet\n",
      "Line 561: you\n",
      "Line 562: you'd\n",
      "Line 563: you'll\n",
      "Line 564: you're\n",
      "Line 565: you've\n",
      "Line 566: your\n",
      "Line 567: yours\n",
      "Line 568: yourself\n",
      "Line 569: yourselves\n",
      "Line 570: z\n",
      "Line 571: zero\n",
      "***************************************************************************\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_Geographic.txt\n",
      "\n",
      "Line 1: UNITED\n",
      "Line 2: STATE\n",
      "Line 3: NORTH\n",
      "Line 4: SOUTH\n",
      "Line 5: EAST\n",
      "Line 6: NORTHEAST\n",
      "Line 7: NORTHWEST\n",
      "Line 8: SOUTHEAST\n",
      "Line 9: SOUTHWEST\n",
      "Line 10: WEST\n",
      "Line 11: OCEAN\n",
      "Line 12: SEA\n",
      "Line 13: LAKE\n",
      "Line 14: RIVER\n",
      "Line 15: CREEK\n",
      "Line 16: GULF\n",
      "Line 17: MOUNTAIN\n",
      "Line 18: STREET\n",
      "Line 19: BOULEVARD\n",
      "Line 20: BLVD\n",
      "Line 21: PARKWAY\n",
      "Line 22: CITY\n",
      "Line 23: COUNTY\n",
      "Line 24: COUNTRY\n",
      "Line 25: PACIFIC\n",
      "Line 26: ATLANTIC\n",
      "Line 27: INDIAN\n",
      "Line 28: MEDITERRANEAN\n",
      "Line 29: COMMONWEALTH\n",
      "Line 30: AMERICA\n",
      "Line 31: AMERICAN\n",
      "Line 32: YORK\n",
      "Line 33: CHICAGO\n",
      "Line 34: LAS\n",
      "Line 35: VEGAS\n",
      "Line 36: LOS\n",
      "Line 37: ANGELES\n",
      "Line 38: MILWAUKEE\n",
      "Line 39: SUNNYVALE\n",
      "Line 40: FREMONT\n",
      "Line 41: CINCINNATI\n",
      "Line 42: PHILADELPHIA\n",
      "Line 43: MIAMI\n",
      "Line 44: DALLAS\n",
      "Line 45: FORT\n",
      "Line 46: BOSTON\n",
      "Line 47: HOUSTON\n",
      "Line 48: WASHINGTON\n",
      "Line 49: ATLANTA\n",
      "Line 50: DETROIT\n",
      "Line 51: SAN\n",
      "Line 52: FRANSICO\n",
      "Line 53: PHOENIX\n",
      "Line 54: SEATTLE\n",
      "Line 55: DIEGO\n",
      "Line 56: MINNEAPOLIS\n",
      "Line 57: MEMPHIS\n",
      "Line 58: DENVER\n",
      "Line 59: ST\n",
      "Line 60: LOUIS\n",
      "Line 61: PITTSBURGH\n",
      "Line 62: MANHATTAN\n",
      "Line 63: HOLLYWOOD\n",
      "Line 64: COLUMBUS\n",
      "Line 65: INDIANAPOLIS\n",
      "Line 66: MUMBAI\n",
      "Line 67: KARACHI\n",
      "Line 68: ONTARIO\n",
      "Line 69: TORONTO\n",
      "Line 70: CAMBRIDGE\n",
      "Line 71: DELHI\n",
      "Line 72: SAO\n",
      "Line 73: PAULO\n",
      "Line 74: SHANGHAI\n",
      "Line 75: MOSCOW\n",
      "Line 76: SEOUL\n",
      "Line 77: ISTANBUL\n",
      "Line 78: TOKYO\n",
      "Line 79: JAKARTA\n",
      "Line 80: BEIJING\n",
      "Line 81: LONDON\n",
      "Line 82: LUXEMBOURG\n",
      "Line 83: SINGAPORE\n",
      "Line 84: REPUBLIC\n",
      "Line 85: CHINA\n",
      "Line 86: INDIA\n",
      "Line 87: INDONESIA\n",
      "Line 88: BRAZIL\n",
      "Line 89: BRAZILIAN\n",
      "Line 90: PAKISTAN\n",
      "Line 91: BANGLADESH\n",
      "Line 92: RUSSIA\n",
      "Line 93: NIGERIA\n",
      "Line 94: NOVA\n",
      "Line 95: SCOTIA\n",
      "Line 96: JAPAN\n",
      "Line 97: MALAYSIA\n",
      "Line 98: MEXICO\n",
      "Line 99: MEXICAN\n",
      "Line 100: PHILIPPINES\n",
      "Line 101: VIETNAM\n",
      "Line 102: GERMANY\n",
      "Line 103: FRANCE\n",
      "Line 104: KOREA\n",
      "Line 105: SPAIN\n",
      "Line 106: ARGENTINA\n",
      "Line 107: BERMUDA\n",
      "Line 108: COLUMBIA\n",
      "Line 109: PUERTO\n",
      "Line 110: CANADA\n",
      "Line 111: CANADIAN\n",
      "Line 112: AFRICA\n",
      "Line 113: AFRICAN\n",
      "Line 114: CHILE\n",
      "Line 115: CHILEAN\n",
      "Line 116: EUROPE\n",
      "Line 117: EUROPEAN\n",
      "Line 118: USA\n",
      "Line 119: ITALY\n",
      "Line 120: ITALIAN\n",
      "Line 121: AUSTRALIA\n",
      "Line 122: NETHERLANDS\n",
      "Line 123: NORWAY\n",
      "Line 124: PORTUGAL\n",
      "Line 125: TAIWAN\n",
      "Line 126: ARGENTINA\n",
      "Line 127: SWITZERLAND\n",
      "Line 128: SWISS\n",
      "Line 129: SUISSE\n",
      "Line 130: DENMARK\n",
      "Line 131: CZECK\n",
      "Line 132: HUNGARY\n",
      "Line 133: FINLAND\n",
      "Line 134: SCOTLAND\n",
      "Line 135: COSTA\n",
      "Line 136: RICA\n",
      "Line 137: SWEDEN\n",
      "Line 138: BELGIUM\n",
      "Line 139: AUSTRIA\n",
      "Line 140: TURKEY\n",
      "Line 141: POLAND\n",
      "Line 142: INDONESIA\n",
      "Line 143: THAILAND\n",
      "Line 144: VENEZUELA\n",
      "Line 145: ASIA\n",
      "Line 146: ZEALAND\n",
      "Line 147: JAPANESE\n",
      "Line 148: LATIN\n",
      "Line 149: BRITISH\n",
      "Line 150: CHINESE\n",
      "Line 151: ALABAMA\n",
      "Line 152: ALASKA\n",
      "Line 153: ARIZONA\n",
      "Line 154: ARKANSAS\n",
      "Line 155: CALIFORNIA\n",
      "Line 156: COLORADO\n",
      "Line 157: CONNECTICUT\n",
      "Line 158: DELAWARE\n",
      "Line 159: FLORIDA\n",
      "Line 160: GEORGIA\n",
      "Line 161: HAWAII\n",
      "Line 162: IDAHO\n",
      "Line 163: ILLINOIS\n",
      "Line 164: INDIANA\n",
      "Line 165: IOWA\n",
      "Line 166: KANSAS\n",
      "Line 167: KENTUCKY\n",
      "Line 168: LOUISIANA\n",
      "Line 169: MAINE\n",
      "Line 170: MARYLAND\n",
      "Line 171: MASSACHUSETTS\n",
      "Line 172: MICHIGAN\n",
      "Line 173: MINNESOTA\n",
      "Line 174: MISSISSIPPI\n",
      "Line 175: MISSOURI\n",
      "Line 176: MONTANA\n",
      "Line 177: NEBRASKA\n",
      "Line 178: NEVADA\n",
      "Line 179: HAMPSHIRE\n",
      "Line 180: JERSEY\n",
      "Line 181: MEXICO\n",
      "Line 182: NEW\n",
      "Line 183: YORK\n",
      "Line 184: OHIO\n",
      "Line 185: OKLAHOMA\n",
      "Line 186: OREGON\n",
      "Line 187: PENNSYLVANIA\n",
      "Line 188: RHODE\n",
      "Line 189: ISLAND\n",
      "Line 190: CAROLINA\n",
      "Line 191: DAKOTA\n",
      "Line 192: TENNESSEE\n",
      "Line 193: TEXAS\n",
      "Line 194: UTAH\n",
      "Line 195: VERMONT\n",
      "Line 196: VIRGINIA\n",
      "Line 197: WASHINGTON\n",
      "Line 198: WISCONSIN\n",
      "Line 199: WYOMING\n",
      "***************************************************************************\n",
      "C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\StopWords\\StopWords_Names.txt\n",
      "\n",
      "Line 1: SMITH\n",
      "Line 2: JOHNSON\n",
      "Line 3: WILLIAMS\n",
      "Line 4: JONES\n",
      "Line 5: BROWN\n",
      "Line 6: DAVIS\n",
      "Line 7: MILLER\n",
      "Line 8: WILSON\n",
      "Line 9: MOORE\n",
      "Line 10: TAYLOR\n",
      "Line 11: ANDERSON\n",
      "Line 12: THOMAS\n",
      "Line 13: JACKSON\n",
      "Line 14: WHITE\n",
      "Line 15: HARRIS\n",
      "Line 16: MARTIN\n",
      "Line 17: THOMPSON\n",
      "Line 18: GARCIA\n",
      "Line 19: MARTINEZ\n",
      "Line 20: ROBINSON\n",
      "Line 21: CLARK\n",
      "Line 22: RODRIGUEZ\n",
      "Line 23: LEWIS\n",
      "Line 24: LEE\n",
      "Line 25: WALKER\n",
      "Line 26: HALL\n",
      "Line 27: ALLEN\n",
      "Line 28: YOUNG\n",
      "Line 29: HERNANDEZ\n",
      "Line 30: KING\n",
      "Line 31: WRIGHT\n",
      "Line 32: LOPEZ\n",
      "Line 33: HILL\n",
      "Line 34: SCOTT\n",
      "Line 35: GREEN\n",
      "Line 36: ADAMS\n",
      "Line 37: BAKER\n",
      "Line 38: GONZALEZ\n",
      "Line 39: NELSON\n",
      "Line 40: CARTER\n",
      "Line 41: MITCHELL\n",
      "Line 42: PEREZ\n",
      "Line 43: ROBERTS\n",
      "Line 44: TURNER\n",
      "Line 45: PHILLIPS\n",
      "Line 46: CAMPBELL\n",
      "Line 47: PARKER\n",
      "Line 48: EVANS\n",
      "Line 49: EDWARDS\n",
      "Line 50: COLLINS\n",
      "Line 51: STEWART\n",
      "Line 52: SANCHEZ\n",
      "Line 53: MORRIS\n",
      "Line 54: ROGERS\n",
      "Line 55: REED\n",
      "Line 56: COOK\n",
      "Line 57: MORGAN\n",
      "Line 58: BELL\n",
      "Line 59: MURPHY\n",
      "Line 60: BAILEY\n",
      "Line 61: RIVERA\n",
      "Line 62: COOPER\n",
      "Line 63: RICHARDSON\n",
      "Line 64: COX\n",
      "Line 65: HOWARD\n",
      "Line 66: WARD\n",
      "Line 67: TORRES\n",
      "Line 68: PETERSON\n",
      "Line 69: GRAY\n",
      "Line 70: RAMIREZ\n",
      "Line 71: JAMES\n",
      "Line 72: WATSON\n",
      "Line 73: BROOKS\n",
      "Line 74: KELLY\n",
      "Line 75: SANDERS\n",
      "Line 76: PRICE\n",
      "Line 77: BENNETT\n",
      "Line 78: WOOD\n",
      "Line 79: BARNES\n",
      "Line 80: ROSS\n",
      "Line 81: HENDERSON\n",
      "Line 82: COLEMAN\n",
      "Line 83: JENKINS\n",
      "Line 84: PERRY\n",
      "Line 85: POWELL\n",
      "Line 86: LONG\n",
      "Line 87: PATTERSON\n",
      "Line 88: HUGHES\n",
      "Line 89: FLORES\n",
      "Line 90: WASHINGTON\n",
      "Line 91: BUTLER\n",
      "Line 92: SIMMONS\n",
      "Line 93: FOSTER\n",
      "Line 94: GONZALES\n",
      "Line 95: BRYANT\n",
      "Line 96: ALEXANDER\n",
      "Line 97: RUSSELL\n",
      "Line 98: GRIFFIN\n",
      "Line 99: DIAZ\n",
      "Line 100: HAYES\n",
      "Line 101: MYERS\n",
      "Line 102: FORD\n",
      "Line 103: HAMILTON\n",
      "Line 104: GRAHAM\n",
      "Line 105: SULLIVAN\n",
      "Line 106: WALLACE\n",
      "Line 107: WOODS\n",
      "Line 108: COLE\n",
      "Line 109: WEST\n",
      "Line 110: JORDAN\n",
      "Line 111: OWENS\n",
      "Line 112: REYNOLDS\n",
      "Line 113: FISHER\n",
      "Line 114: ELLIS\n",
      "Line 115: HARRISON\n",
      "Line 116: GIBSON\n",
      "Line 117: MCDONALD\n",
      "Line 118: CRUZ\n",
      "Line 119: MARSHALL\n",
      "Line 120: ORTIZ\n",
      "Line 121: GOMEZ\n",
      "Line 122: MURRAY\n",
      "Line 123: FREEMAN\n",
      "Line 124: WELLS\n",
      "Line 125: WEBB\n",
      "Line 126: SIMPSON\n",
      "Line 127: STEVENS\n",
      "Line 128: TUCKER\n",
      "Line 129: PORTER\n",
      "Line 130: HUNTER\n",
      "Line 131: HICKS\n",
      "Line 132: CRAWFORD\n",
      "Line 133: HENRY\n",
      "Line 134: BOYD\n",
      "Line 135: MASON\n",
      "Line 136: MORALES\n",
      "Line 137: KENNEDY\n",
      "Line 138: WARREN\n",
      "Line 139: DIXON\n",
      "Line 140: RAMOS\n",
      "Line 141: REYES\n",
      "Line 142: BURNS\n",
      "Line 143: GORDON\n",
      "Line 144: SHAW\n",
      "Line 145: HOLMES\n",
      "Line 146: RICE\n",
      "Line 147: ROBERTSON\n",
      "Line 148: HUNT\n",
      "Line 149: BLACK\n",
      "Line 150: DANIELS\n",
      "Line 151: PALMER\n",
      "Line 152: MILLS\n",
      "Line 153: NICHOLS\n",
      "Line 154: GRANT\n",
      "Line 155: KNIGHT\n",
      "Line 156: FERGUSON\n",
      "Line 157: ROSE\n",
      "Line 158: STONE\n",
      "Line 159: HAWKINS\n",
      "Line 160: DUNN\n",
      "Line 161: PERKINS\n",
      "Line 162: HUDSON\n",
      "Line 163: SPENCER\n",
      "Line 164: GARDNER\n",
      "Line 165: STEPHENS\n",
      "Line 166: PAYNE\n",
      "Line 167: PIERCE\n",
      "Line 168: BERRY\n",
      "Line 169: MATTHEWS\n",
      "Line 170: ARNOLD\n",
      "Line 171: WAGNER\n",
      "Line 172: WILLIS\n",
      "Line 173: RAY\n",
      "Line 174: WATKINS\n",
      "Line 175: OLSON\n",
      "Line 176: CARROLL\n",
      "Line 177: DUNCAN\n",
      "Line 178: SNYDER\n",
      "Line 179: HART\n",
      "Line 180: CUNNINGHAM\n",
      "Line 181: BRADLEY\n",
      "Line 182: LANE\n",
      "Line 183: ANDREWS\n",
      "Line 184: RUIZ\n",
      "Line 185: HARPER\n",
      "Line 186: FOX\n",
      "Line 187: RILEY\n",
      "Line 188: ARMSTRONG\n",
      "Line 189: CARPENTER\n",
      "Line 190: WEAVER\n",
      "Line 191: GREENE\n",
      "Line 192: LAWRENCE\n",
      "Line 193: ELLIOTT\n",
      "Line 194: CHAVEZ\n",
      "Line 195: SIMS\n",
      "Line 196: AUSTIN\n",
      "Line 197: PETERS\n",
      "Line 198: KELLEY\n",
      "Line 199: FRANKLIN\n",
      "Line 200: LAWSON\n",
      "Line 201: FIELDS\n",
      "Line 202: GUTIERREZ\n",
      "Line 203: RYAN\n",
      "Line 204: SCHMIDT\n",
      "Line 205: CARR\n",
      "Line 206: VASQUEZ\n",
      "Line 207: CASTILLO\n",
      "Line 208: WHEELER\n",
      "Line 209: CHAPMAN\n",
      "Line 210: OLIVER\n",
      "Line 211: MONTGOMERY\n",
      "Line 212: RICHARDS\n",
      "Line 213: WILLIAMSON\n",
      "Line 214: JOHNSTON\n",
      "Line 215: BANKS\n",
      "Line 216: MEYER\n",
      "Line 217: BISHOP\n",
      "Line 218: MCCOY\n",
      "Line 219: HOWELL\n",
      "Line 220: ALVAREZ\n",
      "Line 221: MORRISON\n",
      "Line 222: HANSEN\n",
      "Line 223: FERNANDEZ\n",
      "Line 224: GARZA\n",
      "Line 225: HARVEY\n",
      "Line 226: LITTLE\n",
      "Line 227: BURTON\n",
      "Line 228: STANLEY\n",
      "Line 229: NGUYEN\n",
      "Line 230: GEORGE\n",
      "Line 231: JACOBS\n",
      "Line 232: REID\n",
      "Line 233: KIM\n",
      "Line 234: FULLER\n",
      "Line 235: LYNCH\n",
      "Line 236: DEAN\n",
      "Line 237: GILBERT\n",
      "Line 238: GARRETT\n",
      "Line 239: ROMERO\n",
      "Line 240: WELCH\n",
      "Line 241: LARSON\n",
      "Line 242: FRAZIER\n",
      "Line 243: BURKE\n",
      "Line 244: HANSON\n",
      "Line 245: DAY\n",
      "Line 246: MENDOZA\n",
      "Line 247: MORENO\n",
      "Line 248: BOWMAN\n",
      "Line 249: MEDINA\n",
      "Line 250: FOWLER\n",
      "Line 251: BREWER\n",
      "Line 252: HOFFMAN\n",
      "Line 253: CARLSON\n",
      "Line 254: SILVA\n",
      "Line 255: PEARSON\n",
      "Line 256: HOLLAND\n",
      "Line 257: DOUGLAS\n",
      "Line 258: FLEMING\n",
      "Line 259: JENSEN\n",
      "Line 260: VARGAS\n",
      "Line 261: BYRD\n",
      "Line 262: DAVIDSON\n",
      "Line 263: HOPKINS\n",
      "Line 264: MAY\n",
      "Line 265: TERRY\n",
      "Line 266: HERRERA\n",
      "Line 267: WADE\n",
      "Line 268: SOTO\n",
      "Line 269: WALTERS\n",
      "Line 270: CURTIS\n",
      "Line 271: NEAL\n",
      "Line 272: CALDWELL\n",
      "Line 273: LOWE\n",
      "Line 274: JENNINGS\n",
      "Line 275: BARNETT\n",
      "Line 276: GRAVES\n",
      "Line 277: JIMENEZ\n",
      "Line 278: HORTON\n",
      "Line 279: SHELTON\n",
      "Line 280: BARRETT\n",
      "Line 281: OBRIEN\n",
      "Line 282: CASTRO\n",
      "Line 283: SUTTON\n",
      "Line 284: GREGORY\n",
      "Line 285: MCKINNEY\n",
      "Line 286: LUCAS\n",
      "Line 287: MILES\n",
      "Line 288: CRAIG\n",
      "Line 289: RODRIQUEZ\n",
      "Line 290: CHAMBERS\n",
      "Line 291: HOLT\n",
      "Line 292: LAMBERT\n",
      "Line 293: FLETCHER\n",
      "Line 294: WATTS\n",
      "Line 295: BATES\n",
      "Line 296: HALE\n",
      "Line 297: RHODES\n",
      "Line 298: PENA\n",
      "Line 299: BECK\n",
      "Line 300: NEWMAN\n",
      "Line 301: HAYNES\n",
      "Line 302: MCDANIEL\n",
      "Line 303: MENDEZ\n",
      "Line 304: BUSH\n",
      "Line 305: VAUGHN\n",
      "Line 306: PARKS\n",
      "Line 307: DAWSON\n",
      "Line 308: SANTIAGO\n",
      "Line 309: NORRIS\n",
      "Line 310: HARDY\n",
      "Line 311: LOVE\n",
      "Line 312: STEELE\n",
      "Line 313: CURRY\n",
      "Line 314: POWERS\n",
      "Line 315: SCHULTZ\n",
      "Line 316: BARKER\n",
      "Line 317: GUZMAN\n",
      "Line 318: PAGE\n",
      "Line 319: MUNOZ\n",
      "Line 320: BALL\n",
      "Line 321: KELLER\n",
      "Line 322: CHANDLER\n",
      "Line 323: WEBER\n",
      "Line 324: LEONARD\n",
      "Line 325: WALSH\n",
      "Line 326: LYONS\n",
      "Line 327: RAMSEY\n",
      "Line 328: WOLFE\n",
      "Line 329: SCHNEIDER\n",
      "Line 330: MULLINS\n",
      "Line 331: BENSON\n",
      "Line 332: SHARP\n",
      "Line 333: BOWEN\n",
      "Line 334: DANIEL\n",
      "Line 335: BARBER\n",
      "Line 336: CUMMINGS\n",
      "Line 337: HINES\n",
      "Line 338: BALDWIN\n",
      "Line 339: GRIFFITH\n",
      "Line 340: VALDEZ\n",
      "Line 341: HUBBARD\n",
      "Line 342: SALAZAR\n",
      "Line 343: REEVES\n",
      "Line 344: WARNER\n",
      "Line 345: STEVENSON\n",
      "Line 346: BURGESS\n",
      "Line 347: SANTOS\n",
      "Line 348: TATE\n",
      "Line 349: CROSS\n",
      "Line 350: GARNER\n",
      "Line 351: MANN\n",
      "Line 352: MACK\n",
      "Line 353: MOSS\n",
      "Line 354: THORNTON\n",
      "Line 355: DENNIS\n",
      "Line 356: MCGEE\n",
      "Line 357: FARMER\n",
      "Line 358: DELGADO\n",
      "Line 359: AGUILAR\n",
      "Line 360: VEGA\n",
      "Line 361: GLOVER\n",
      "Line 362: MANNING\n",
      "Line 363: COHEN\n",
      "Line 364: HARMON\n",
      "Line 365: RODGERS\n",
      "Line 366: ROBBINS\n",
      "Line 367: NEWTON\n",
      "Line 368: TODD\n",
      "Line 369: BLAIR\n",
      "Line 370: HIGGINS\n",
      "Line 371: INGRAM\n",
      "Line 372: REESE\n",
      "Line 373: CANNON\n",
      "Line 374: STRICKLAND\n",
      "Line 375: TOWNSEND\n",
      "Line 376: POTTER\n",
      "Line 377: GOODWIN\n",
      "Line 378: WALTON\n",
      "Line 379: ROWE\n",
      "Line 380: HAMPTON\n",
      "Line 381: ORTEGA\n",
      "Line 382: PATTON\n",
      "Line 383: SWANSON\n",
      "Line 384: JOSEPH\n",
      "Line 385: FRANCIS\n",
      "Line 386: GOODMAN\n",
      "Line 387: MALDONADO\n",
      "Line 388: YATES\n",
      "Line 389: BECKER\n",
      "Line 390: ERICKSON\n",
      "Line 391: HODGES\n",
      "Line 392: RIOS\n",
      "Line 393: CONNER\n",
      "Line 394: ADKINS\n",
      "Line 395: WEBSTER\n",
      "Line 396: NORMAN\n",
      "Line 397: MALONE\n",
      "Line 398: HAMMOND\n",
      "Line 399: FLOWERS\n",
      "Line 400: COBB\n",
      "Line 401: MOODY\n",
      "Line 402: QUINN\n",
      "Line 403: BLAKE\n",
      "Line 404: MAXWELL\n",
      "Line 405: POPE\n",
      "Line 406: FLOYD\n",
      "Line 407: OSBORNE\n",
      "Line 408: PAUL\n",
      "Line 409: MCCARTHY\n",
      "Line 410: GUERRERO\n",
      "Line 411: LINDSEY\n",
      "Line 412: ESTRADA\n",
      "Line 413: SANDOVAL\n",
      "Line 414: GIBBS\n",
      "Line 415: TYLER\n",
      "Line 416: GROSS\n",
      "Line 417: FITZGERALD\n",
      "Line 418: STOKES\n",
      "Line 419: DOYLE\n",
      "Line 420: SHERMAN\n",
      "Line 421: SAUNDERS\n",
      "Line 422: WISE\n",
      "Line 423: COLON\n",
      "Line 424: GILL\n",
      "Line 425: ALVARADO\n",
      "Line 426: GREER\n",
      "Line 427: PADILLA\n",
      "Line 428: SIMON\n",
      "Line 429: WATERS\n",
      "Line 430: NUNEZ\n",
      "Line 431: BALLARD\n",
      "Line 432: SCHWARTZ\n",
      "Line 433: MCBRIDE\n",
      "Line 434: HOUSTON\n",
      "Line 435: CHRISTENSEN\n",
      "Line 436: KLEIN\n",
      "Line 437: PRATT\n",
      "Line 438: BRIGGS\n",
      "Line 439: PARSONS\n",
      "Line 440: MCLAUGHLIN\n",
      "Line 441: ZIMMERMAN\n",
      "Line 442: FRENCH\n",
      "Line 443: BUCHANAN\n",
      "Line 444: MORAN\n",
      "Line 445: COPELAND\n",
      "Line 446: ROY\n",
      "Line 447: PITTMAN\n",
      "Line 448: BRADY\n",
      "Line 449: MCCORMICK\n",
      "Line 450: HOLLOWAY\n",
      "Line 451: BROCK\n",
      "Line 452: POOLE\n",
      "Line 453: FRANK\n",
      "Line 454: LOGAN\n",
      "Line 455: OWEN\n",
      "Line 456: BASS\n",
      "Line 457: MARSH\n",
      "Line 458: DRAKE\n",
      "Line 459: WONG\n",
      "Line 460: JEFFERSON\n",
      "Line 461: PARK\n",
      "Line 462: MORTON\n",
      "Line 463: ABBOTT\n",
      "Line 464: SPARKS\n",
      "Line 465: PATRICK\n",
      "Line 466: NORTON\n",
      "Line 467: HUFF\n",
      "Line 468: CLAYTON\n",
      "Line 469: MASSEY\n",
      "Line 470: LLOYD\n",
      "Line 471: FIGUEROA\n",
      "Line 472: CARSON\n",
      "Line 473: BOWERS\n",
      "Line 474: ROBERSON\n",
      "Line 475: BARTON\n",
      "Line 476: TRAN\n",
      "Line 477: LAMB\n",
      "Line 478: HARRINGTON\n",
      "Line 479: CASEY\n",
      "Line 480: BOONE\n",
      "Line 481: CORTEZ\n",
      "Line 482: CLARKE\n",
      "Line 483: MATHIS\n",
      "Line 484: SINGLETON\n",
      "Line 485: WILKINS\n",
      "Line 486: CAIN\n",
      "Line 487: BRYAN\n",
      "Line 488: UNDERWOOD\n",
      "Line 489: HOGAN\n",
      "Line 490: MCKENZIE\n",
      "Line 491: COLLIER\n",
      "Line 492: LUNA\n",
      "Line 493: PHELPS\n",
      "Line 494: MCGUIRE\n",
      "Line 495: ALLISON\n",
      "Line 496: BRIDGES\n",
      "Line 497: WILKERSON\n",
      "Line 498: NASH\n",
      "Line 499: SUMMERS\n",
      "Line 500: ATKINS\n",
      "Line 501: WILCOX\n",
      "Line 502: PITTS\n",
      "Line 503: CONLEY\n",
      "Line 504: MARQUEZ\n",
      "Line 505: BURNETT\n",
      "Line 506: RICHARD\n",
      "Line 507: COCHRAN\n",
      "Line 508: CHASE\n",
      "Line 509: DAVENPORT\n",
      "Line 510: HOOD\n",
      "Line 511: GATES\n",
      "Line 512: CLAY\n",
      "Line 513: AYALA\n",
      "Line 514: SAWYER\n",
      "Line 515: ROMAN\n",
      "Line 516: VAZQUEZ\n",
      "Line 517: DICKERSON\n",
      "Line 518: HODGE\n",
      "Line 519: ACOSTA\n",
      "Line 520: FLYNN\n",
      "Line 521: ESPINOZA\n",
      "Line 522: NICHOLSON\n",
      "Line 523: MONROE\n",
      "Line 524: WOLF\n",
      "Line 525: MORROW\n",
      "Line 526: KIRK\n",
      "Line 527: RANDALL\n",
      "Line 528: ANTHONY\n",
      "Line 529: WHITAKER\n",
      "Line 530: OCONNOR\n",
      "Line 531: SKINNER\n",
      "Line 532: WARE\n",
      "Line 533: MOLINA\n",
      "Line 534: KIRBY\n",
      "Line 535: HUFFMAN\n",
      "Line 536: BRADFORD\n",
      "Line 537: CHARLES\n",
      "Line 538: GILMORE\n",
      "Line 539: DOMINGUEZ\n",
      "Line 540: ONEAL\n",
      "Line 541: BRUCE\n",
      "Line 542: LANG\n",
      "Line 543: COMBS\n",
      "Line 544: KRAMER\n",
      "Line 545: HEATH\n",
      "Line 546: HANCOCK\n",
      "Line 547: GALLAGHER\n",
      "Line 548: GAINES\n",
      "Line 549: SHAFFER\n",
      "Line 550: SHORT\n",
      "Line 551: WIGGINS\n",
      "Line 552: MATHEWS\n",
      "Line 553: MCCLAIN\n",
      "Line 554: FISCHER\n",
      "Line 555: WALL\n",
      "Line 556: SMALL\n",
      "Line 557: MELTON\n",
      "Line 558: HENSLEY\n",
      "Line 559: BOND\n",
      "Line 560: DYER\n",
      "Line 561: CAMERON\n",
      "Line 562: GRIMES\n",
      "Line 563: CONTRERAS\n",
      "Line 564: CHRISTIAN\n",
      "Line 565: WYATT\n",
      "Line 566: BAXTER\n",
      "Line 567: SNOW\n",
      "Line 568: MOSLEY\n",
      "Line 569: SHEPHERD\n",
      "Line 570: LARSEN\n",
      "Line 571: HOOVER\n",
      "Line 572: BEASLEY\n",
      "Line 573: GLENN\n",
      "Line 574: PETERSEN\n",
      "Line 575: WHITEHEAD\n",
      "Line 576: MEYERS\n",
      "Line 577: KEITH\n",
      "Line 578: GARRISON\n",
      "Line 579: VINCENT\n",
      "Line 580: SHIELDS\n",
      "Line 581: HORN\n",
      "Line 582: SAVAGE\n",
      "Line 583: OLSEN\n",
      "Line 584: SCHROEDER\n",
      "Line 585: HARTMAN\n",
      "Line 586: WOODARD\n",
      "Line 587: MUELLER\n",
      "Line 588: KEMP\n",
      "Line 589: DELEON\n",
      "Line 590: BOOTH\n",
      "Line 591: PATEL\n",
      "Line 592: CALHOUN\n",
      "Line 593: WILEY\n",
      "Line 594: EATON\n",
      "Line 595: CLINE\n",
      "Line 596: NAVARRO\n",
      "Line 597: HARRELL\n",
      "Line 598: LESTER\n",
      "Line 599: HUMPHREY\n",
      "Line 600: PARRISH\n",
      "Line 601: DURAN\n",
      "Line 602: HUTCHINSON\n",
      "Line 603: HESS\n",
      "Line 604: DORSEY\n",
      "Line 605: BULLOCK\n",
      "Line 606: ROBLES\n",
      "Line 607: BEARD\n",
      "Line 608: DALTON\n",
      "Line 609: AVILA\n",
      "Line 610: VANCE\n",
      "Line 611: RICH\n",
      "Line 612: BLACKWELL\n",
      "Line 613: YORK\n",
      "Line 614: JOHNS\n",
      "Line 615: BLANKENSHIP\n",
      "Line 616: TREVINO\n",
      "Line 617: SALINAS\n",
      "Line 618: CAMPOS\n",
      "Line 619: PRUITT\n",
      "Line 620: MOSES\n",
      "Line 621: CALLAHAN\n",
      "Line 622: GOLDEN\n",
      "Line 623: MONTOYA\n",
      "Line 624: HARDIN\n",
      "Line 625: GUERRA\n",
      "Line 626: MCDOWELL\n",
      "Line 627: CAREY\n",
      "Line 628: STAFFORD\n",
      "Line 629: GALLEGOS\n",
      "Line 630: HENSON\n",
      "Line 631: WILKINSON\n",
      "Line 632: BOOKER\n",
      "Line 633: MERRITT\n",
      "Line 634: MIRANDA\n",
      "Line 635: ATKINSON\n",
      "Line 636: ORR\n",
      "Line 637: DECKER\n",
      "Line 638: HOBBS\n",
      "Line 639: PRESTON\n",
      "Line 640: TANNER\n",
      "Line 641: KNOX\n",
      "Line 642: PACHECO\n",
      "Line 643: STEPHENSON\n",
      "Line 644: GLASS\n",
      "Line 645: ROJAS\n",
      "Line 646: SERRANO\n",
      "Line 647: MARKS\n",
      "Line 648: HICKMAN\n",
      "Line 649: ENGLISH\n",
      "Line 650: SWEENEY\n",
      "Line 651: STRONG\n",
      "Line 652: PRINCE\n",
      "Line 653: MCCLURE\n",
      "Line 654: CONWAY\n",
      "Line 655: WALTER\n",
      "Line 656: ROTH\n",
      "Line 657: MAYNARD\n",
      "Line 658: FARRELL\n",
      "Line 659: LOWERY\n",
      "Line 660: HURST\n",
      "Line 661: NIXON\n",
      "Line 662: WEISS\n",
      "Line 663: TRUJILLO\n",
      "Line 664: ELLISON\n",
      "Line 665: SLOAN\n",
      "Line 666: JUAREZ\n",
      "Line 667: WINTERS\n",
      "Line 668: MCLEAN\n",
      "Line 669: RANDOLPH\n",
      "Line 670: LEON\n",
      "Line 671: BOYER\n",
      "Line 672: VILLARREAL\n",
      "Line 673: MCCALL\n",
      "Line 674: GENTRY\n",
      "Line 675: CARRILLO\n",
      "Line 676: KENT\n",
      "Line 677: AYERS\n",
      "Line 678: LARA\n",
      "Line 679: SHANNON\n",
      "Line 680: SEXTON\n",
      "Line 681: PACE\n",
      "Line 682: HULL\n",
      "Line 683: LEBLANC\n",
      "Line 684: BROWNING\n",
      "Line 685: VELASQUEZ\n",
      "Line 686: LEACH\n",
      "Line 687: CHANG\n",
      "Line 688: HOUSE\n",
      "Line 689: SELLERS\n",
      "Line 690: HERRING\n",
      "Line 691: NOBLE\n",
      "Line 692: FOLEY\n",
      "Line 693: BARTLETT\n",
      "Line 694: MERCADO\n",
      "Line 695: LANDRY\n",
      "Line 696: DURHAM\n",
      "Line 697: WALLS\n",
      "Line 698: BARR\n",
      "Line 699: MCKEE\n",
      "Line 700: BAUER\n",
      "Line 701: RIVERS\n",
      "Line 702: EVERETT\n",
      "Line 703: BRADSHAW\n",
      "Line 704: PUGH\n",
      "Line 705: VELEZ\n",
      "Line 706: RUSH\n",
      "Line 707: ESTES\n",
      "Line 708: DODSON\n",
      "Line 709: MORSE\n",
      "Line 710: SHEPPARD\n",
      "Line 711: WEEKS\n",
      "Line 712: CAMACHO\n",
      "Line 713: BEAN\n",
      "Line 714: BARRON\n",
      "Line 715: LIVINGSTON\n",
      "Line 716: MIDDLETON\n",
      "Line 717: SPEARS\n",
      "Line 718: BRANCH\n",
      "Line 719: BLEVINS\n",
      "Line 720: CHEN\n",
      "Line 721: KERR\n",
      "Line 722: MCCONNELL\n",
      "Line 723: HATFIELD\n",
      "Line 724: HARDING\n",
      "Line 725: ASHLEY\n",
      "Line 726: SOLIS\n",
      "Line 727: HERMAN\n",
      "Line 728: FROST\n",
      "Line 729: GILES\n",
      "Line 730: BLACKBURN\n",
      "Line 731: WILLIAM\n",
      "Line 732: PENNINGTON\n",
      "Line 733: WOODWARD\n",
      "Line 734: FINLEY\n",
      "Line 735: MCINTOSH\n",
      "Line 736: KOCH\n",
      "Line 737: BEST\n",
      "Line 738: SOLOMON\n",
      "Line 739: MCCULLOUGH\n",
      "Line 740: DUDLEY\n",
      "Line 741: NOLAN\n",
      "Line 742: BLANCHARD\n",
      "Line 743: RIVAS\n",
      "Line 744: BRENNAN\n",
      "Line 745: MEJIA\n",
      "Line 746: KANE\n",
      "Line 747: BENTON\n",
      "Line 748: JOYCE\n",
      "Line 749: BUCKLEY\n",
      "Line 750: HALEY\n",
      "Line 751: VALENTINE\n",
      "Line 752: MADDOX\n",
      "Line 753: RUSSO\n",
      "Line 754: MCKNIGHT\n",
      "Line 755: BUCK\n",
      "Line 756: MOON\n",
      "Line 757: MCMILLAN\n",
      "Line 758: CROSBY\n",
      "Line 759: BERG\n",
      "Line 760: DOTSON\n",
      "Line 761: MAYS\n",
      "Line 762: ROACH\n",
      "Line 763: CHURCH\n",
      "Line 764: CHAN\n",
      "Line 765: RICHMOND\n",
      "Line 766: MEADOWS\n",
      "Line 767: FAULKNER\n",
      "Line 768: ONEILL\n",
      "Line 769: KNAPP\n",
      "Line 770: KLINE\n",
      "Line 771: BARRY\n",
      "Line 772: OCHOA\n",
      "Line 773: JACOBSON\n",
      "Line 774: GAY\n",
      "Line 775: AVERY\n",
      "Line 776: HENDRICKS\n",
      "Line 777: HORNE\n",
      "Line 778: SHEPARD\n",
      "Line 779: HEBERT\n",
      "Line 780: CHERRY\n",
      "Line 781: CARDENAS\n",
      "Line 782: MCINTYRE\n",
      "Line 783: WHITNEY\n",
      "Line 784: WALLER\n",
      "Line 785: HOLMAN\n",
      "Line 786: DONALDSON\n",
      "Line 787: CANTU\n",
      "Line 788: TERRELL\n",
      "Line 789: MORIN\n",
      "Line 790: GILLESPIE\n",
      "Line 791: FUENTES\n",
      "Line 792: TILLMAN\n",
      "Line 793: SANFORD\n",
      "Line 794: BENTLEY\n",
      "Line 795: PECK\n",
      "Line 796: KEY\n",
      "Line 797: SALAS\n",
      "Line 798: ROLLINS\n",
      "Line 799: GAMBLE\n",
      "Line 800: DICKSON\n",
      "Line 801: BATTLE\n",
      "Line 802: SANTANA\n",
      "Line 803: CABRERA\n",
      "Line 804: CERVANTES\n",
      "Line 805: HOWE\n",
      "Line 806: HINTON\n",
      "Line 807: HURLEY\n",
      "Line 808: SPENCE\n",
      "Line 809: ZAMORA\n",
      "Line 810: YANG\n",
      "Line 811: MCNEIL\n",
      "Line 812: SUAREZ\n",
      "Line 813: CASE\n",
      "Line 814: PETTY\n",
      "Line 815: GOULD\n",
      "Line 816: MCFARLAND\n",
      "Line 817: SAMPSON\n",
      "Line 818: CARVER\n",
      "Line 819: BRAY\n",
      "Line 820: ROSARIO\n",
      "Line 821: MACDONALD\n",
      "Line 822: STOUT\n",
      "Line 823: HESTER\n",
      "Line 824: MELENDEZ\n",
      "Line 825: DILLON\n",
      "Line 826: FARLEY\n",
      "Line 827: HOPPER\n",
      "Line 828: GALLOWAY\n",
      "Line 829: POTTS\n",
      "Line 830: BERNARD\n",
      "Line 831: JOYNER\n",
      "Line 832: STEIN\n",
      "Line 833: AGUIRRE\n",
      "Line 834: OSBORN\n",
      "Line 835: MERCER\n",
      "Line 836: BENDER\n",
      "Line 837: FRANCO\n",
      "Line 838: ROWLAND\n",
      "Line 839: SYKES\n",
      "Line 840: BENJAMIN\n",
      "Line 841: TRAVIS\n",
      "Line 842: PICKETT\n",
      "Line 843: CRANE\n",
      "Line 844: SEARS\n",
      "Line 845: MAYO\n",
      "Line 846: DUNLAP\n",
      "Line 847: HAYDEN\n",
      "Line 848: WILDER\n",
      "Line 849: MCKAY\n",
      "Line 850: COFFEY\n",
      "Line 851: MCCARTY\n",
      "Line 852: EWING\n",
      "Line 853: COOLEY\n",
      "Line 854: VAUGHAN\n",
      "Line 855: BONNER\n",
      "Line 856: COTTON\n",
      "Line 857: HOLDER\n",
      "Line 858: STARK\n",
      "Line 859: FERRELL\n",
      "Line 860: CANTRELL\n",
      "Line 861: FULTON\n",
      "Line 862: LYNN\n",
      "Line 863: LOTT\n",
      "Line 864: CALDERON\n",
      "Line 865: ROSA\n",
      "Line 866: POLLARD\n",
      "Line 867: HOOPER\n",
      "Line 868: BURCH\n",
      "Line 869: MULLEN\n",
      "Line 870: FRY\n",
      "Line 871: RIDDLE\n",
      "Line 872: LEVY\n",
      "Line 873: DAVID\n",
      "Line 874: DUKE\n",
      "Line 875: ODONNELL\n",
      "Line 876: GUY\n",
      "Line 877: MICHAEL\n",
      "Line 878: BRITT\n",
      "Line 879: FREDERICK\n",
      "Line 880: DAUGHERTY\n",
      "Line 881: BERGER\n",
      "Line 882: DILLARD\n",
      "Line 883: ALSTON\n",
      "Line 884: JARVIS\n",
      "Line 885: FRYE\n",
      "Line 886: RIGGS\n",
      "Line 887: CHANEY\n",
      "Line 888: ODOM\n",
      "Line 889: DUFFY\n",
      "Line 890: FITZPATRICK\n",
      "Line 891: VALENZUELA\n",
      "Line 892: MERRILL\n",
      "Line 893: MAYER\n",
      "Line 894: ALFORD\n",
      "Line 895: MCPHERSON\n",
      "Line 896: ACEVEDO\n",
      "Line 897: DONOVAN\n",
      "Line 898: BARRERA\n",
      "Line 899: ALBERT\n",
      "Line 900: COTE\n",
      "Line 901: REILLY\n",
      "Line 902: COMPTON\n",
      "Line 903: RAYMOND\n",
      "Line 904: MOONEY\n",
      "Line 905: MCGOWAN\n",
      "Line 906: CRAFT\n",
      "Line 907: CLEVELAND\n",
      "Line 908: CLEMONS\n",
      "Line 909: WYNN\n",
      "Line 910: NIELSEN\n",
      "Line 911: BAIRD\n",
      "Line 912: STANTON\n",
      "Line 913: SNIDER\n",
      "Line 914: ROSALES\n",
      "Line 915: BRIGHT\n",
      "Line 916: WITT\n",
      "Line 917: STUART\n",
      "Line 918: HAYS\n",
      "Line 919: HOLDEN\n",
      "Line 920: RUTLEDGE\n",
      "Line 921: KINNEY\n",
      "Line 922: CLEMENTS\n",
      "Line 923: CASTANEDA\n",
      "Line 924: SLATER\n",
      "Line 925: HAHN\n",
      "Line 926: EMERSON\n",
      "Line 927: CONRAD\n",
      "Line 928: BURKS\n",
      "Line 929: DELANEY\n",
      "Line 930: PATE\n",
      "Line 931: LANCASTER\n",
      "Line 932: SWEET\n",
      "Line 933: JUSTICE\n",
      "Line 934: TYSON\n",
      "Line 935: SHARPE\n",
      "Line 936: WHITFIELD\n",
      "Line 937: TALLEY\n",
      "Line 938: MACIAS\n",
      "Line 939: IRWIN\n",
      "Line 940: BURRIS\n",
      "Line 941: RATLIFF\n",
      "Line 942: MCCRAY\n",
      "Line 943: MADDEN\n",
      "Line 944: KAUFMAN\n",
      "Line 945: BEACH\n",
      "Line 946: GOFF\n",
      "Line 947: CASH\n",
      "Line 948: BOLTON\n",
      "Line 949: MCFADDEN\n",
      "Line 950: LEVINE\n",
      "Line 951: GOOD\n",
      "Line 952: BYERS\n",
      "Line 953: KIRKLAND\n",
      "Line 954: KIDD\n",
      "Line 955: WORKMAN\n",
      "Line 956: CARNEY\n",
      "Line 957: DALE\n",
      "Line 958: MCLEOD\n",
      "Line 959: HOLCOMB\n",
      "Line 960: ENGLAND\n",
      "Line 961: FINCH\n",
      "Line 962: HEAD\n",
      "Line 963: BURT\n",
      "Line 964: HENDRIX\n",
      "Line 965: SOSA\n",
      "Line 966: HANEY\n",
      "Line 967: FRANKS\n",
      "Line 968: SARGENT\n",
      "Line 969: NIEVES\n",
      "Line 970: DOWNS\n",
      "Line 971: RASMUSSEN\n",
      "Line 972: BIRD\n",
      "Line 973: HEWITT\n",
      "Line 974: LINDSAY\n",
      "Line 975: LE\n",
      "Line 976: FOREMAN\n",
      "Line 977: VALENCIA\n",
      "Line 978: ONEIL\n",
      "Line 979: DELACRUZ\n",
      "Line 980: VINSON\n",
      "Line 981: DEJESUS\n",
      "Line 982: HYDE\n",
      "Line 983: FORBES\n",
      "Line 984: GILLIAM\n",
      "Line 985: GUTHRIE\n",
      "Line 986: WOOTEN\n",
      "Line 987: HUBER\n",
      "Line 988: BARLOW\n",
      "Line 989: BOYLE\n",
      "Line 990: MCMAHON\n",
      "Line 991: BUCKNER\n",
      "Line 992: ROCHA\n",
      "Line 993: PUCKETT\n",
      "Line 994: LANGLEY\n",
      "Line 995: KNOWLES\n",
      "Line 996: COOKE\n",
      "Line 997: VELAZQUEZ\n",
      "Line 998: WHITLEY\n",
      "Line 999: NOEL\n",
      "Line 1000: VANG\n",
      "Line 1001: SHEA\n",
      "Line 1002: ROUSE\n",
      "Line 1003: HARTLEY\n",
      "Line 1004: MAYFIELD\n",
      "Line 1005: ELDER\n",
      "Line 1006: RANKIN\n",
      "Line 1007: HANNA\n",
      "Line 1008: COWAN\n",
      "Line 1009: LUCERO\n",
      "Line 1010: ARROYO\n",
      "Line 1011: SLAUGHTER\n",
      "Line 1012: HAAS\n",
      "Line 1013: OCONNELL\n",
      "Line 1014: MINOR\n",
      "Line 1015: KENDRICK\n",
      "Line 1016: SHIRLEY\n",
      "Line 1017: KENDALL\n",
      "Line 1018: BOUCHER\n",
      "Line 1019: ARCHER\n",
      "Line 1020: BOGGS\n",
      "Line 1021: ODELL\n",
      "Line 1022: DOUGHERTY\n",
      "Line 1023: ANDERSEN\n",
      "Line 1024: NEWELL\n",
      "Line 1025: CROWE\n",
      "Line 1026: WANG\n",
      "Line 1027: FRIEDMAN\n",
      "Line 1028: BLAND\n",
      "Line 1029: SWAIN\n",
      "Line 1030: HOLLEY\n",
      "Line 1031: FELIX\n",
      "Line 1032: PEARCE\n",
      "Line 1033: CHILDS\n",
      "Line 1034: YARBROUGH\n",
      "Line 1035: GALVAN\n",
      "Line 1036: PROCTOR\n",
      "Line 1037: MEEKS\n",
      "Line 1038: LOZANO\n",
      "Line 1039: MORA\n",
      "Line 1040: RANGEL\n",
      "Line 1041: BACON\n",
      "Line 1042: VILLANUEVA\n",
      "Line 1043: SCHAEFER\n",
      "Line 1044: ROSADO\n",
      "Line 1045: HELMS\n",
      "Line 1046: BOYCE\n",
      "Line 1047: GOSS\n",
      "Line 1048: STINSON\n",
      "Line 1049: SMART\n",
      "Line 1050: LAKE\n",
      "Line 1051: IBARRA\n",
      "Line 1052: HUTCHINS\n",
      "Line 1053: COVINGTON\n",
      "Line 1054: REYNA\n",
      "Line 1055: GREGG\n",
      "Line 1056: WERNER\n",
      "Line 1057: CROWLEY\n",
      "Line 1058: HATCHER\n",
      "Line 1059: MACKEY\n",
      "Line 1060: BUNCH\n",
      "Line 1061: WOMACK\n",
      "Line 1062: POLK\n",
      "Line 1063: JAMISON\n",
      "Line 1064: DODD\n",
      "Line 1065: CHILDRESS\n",
      "Line 1066: CHILDERS\n",
      "Line 1067: CAMP\n",
      "Line 1068: VILLA\n",
      "Line 1069: DYE\n",
      "Line 1070: SPRINGER\n",
      "Line 1071: MAHONEY\n",
      "Line 1072: DAILEY\n",
      "Line 1073: BELCHER\n",
      "Line 1074: LOCKHART\n",
      "Line 1075: GRIGGS\n",
      "Line 1076: COSTA\n",
      "Line 1077: CONNOR\n",
      "Line 1078: BRANDT\n",
      "Line 1079: WINTER\n",
      "Line 1080: WALDEN\n",
      "Line 1081: MOSER\n",
      "Line 1082: TRACY\n",
      "Line 1083: TATUM\n",
      "Line 1084: MCCANN\n",
      "Line 1085: AKERS\n",
      "Line 1086: LUTZ\n",
      "Line 1087: PRYOR\n",
      "Line 1088: LAW\n",
      "Line 1089: OROZCO\n",
      "Line 1090: MCALLISTER\n",
      "Line 1091: LUGO\n",
      "Line 1092: DAVIES\n",
      "Line 1093: SHOEMAKER\n",
      "Line 1094: MADISON\n",
      "Line 1095: RUTHERFORD\n",
      "Line 1096: NEWSOME\n",
      "Line 1097: MAGEE\n",
      "Line 1098: CHAMBERLAIN\n",
      "Line 1099: BLANTON\n",
      "Line 1100: SIMMS\n",
      "Line 1101: GODFREY\n",
      "Line 1102: FLANAGAN\n",
      "Line 1103: CRUM\n",
      "Line 1104: CORDOVA\n",
      "Line 1105: ESCOBAR\n",
      "Line 1106: DOWNING\n",
      "Line 1107: SINCLAIR\n",
      "Line 1108: DONAHUE\n",
      "Line 1109: KRUEGER\n",
      "Line 1110: MCGINNIS\n",
      "Line 1111: GORE\n",
      "Line 1112: FARRIS\n",
      "Line 1113: WEBBER\n",
      "Line 1114: CORBETT\n",
      "Line 1115: ANDRADE\n",
      "Line 1116: STARR\n",
      "Line 1117: LYON\n",
      "Line 1118: YODER\n",
      "Line 1119: HASTINGS\n",
      "Line 1120: MCGRATH\n",
      "Line 1121: SPIVEY\n",
      "Line 1122: KRAUSE\n",
      "Line 1123: HARDEN\n",
      "Line 1124: CRABTREE\n",
      "Line 1125: KIRKPATRICK\n",
      "Line 1126: HOLLIS\n",
      "Line 1127: BRANDON\n",
      "Line 1128: ARRINGTON\n",
      "Line 1129: ERVIN\n",
      "Line 1130: CLIFTON\n",
      "Line 1131: RITTER\n",
      "Line 1132: MCGHEE\n",
      "Line 1133: BOLDEN\n",
      "Line 1134: MALONEY\n",
      "Line 1135: GAGNON\n",
      "Line 1136: DUNBAR\n",
      "Line 1137: PONCE\n",
      "Line 1138: PIKE\n",
      "Line 1139: MAYES\n",
      "Line 1140: HEARD\n",
      "Line 1141: BEATTY\n",
      "Line 1142: MOBLEY\n",
      "Line 1143: KIMBALL\n",
      "Line 1144: BUTTS\n",
      "Line 1145: MONTES\n",
      "Line 1146: HERBERT\n",
      "Line 1147: GRADY\n",
      "Line 1148: ELDRIDGE\n",
      "Line 1149: BRAUN\n",
      "Line 1150: HAMM\n",
      "Line 1151: GIBBONS\n",
      "Line 1152: SEYMOUR\n",
      "Line 1153: MOYER\n",
      "Line 1154: MANLEY\n",
      "Line 1155: HERRON\n",
      "Line 1156: PLUMMER\n",
      "Line 1157: ELMORE\n",
      "Line 1158: CRAMER\n",
      "Line 1159: GARY\n",
      "Line 1160: RUCKER\n",
      "Line 1161: HILTON\n",
      "Line 1162: BLUE\n",
      "Line 1163: PIERSON\n",
      "Line 1164: FONTENOT\n",
      "Line 1165: FIELD\n",
      "Line 1166: RUBIO\n",
      "Line 1167: GRACE\n",
      "Line 1168: GOLDSTEIN\n",
      "Line 1169: ELKINS\n",
      "Line 1170: WILLS\n",
      "Line 1171: NOVAK\n",
      "Line 1172: JOHN\n",
      "Line 1173: HICKEY\n",
      "Line 1174: WORLEY\n",
      "Line 1175: GORMAN\n",
      "Line 1176: KATZ\n",
      "Line 1177: DICKINSON\n",
      "Line 1178: BROUSSARD\n",
      "Line 1179: FRITZ\n",
      "Line 1180: WOODRUFF\n",
      "Line 1181: CROW\n",
      "Line 1182: CHRISTOPHER\n",
      "Line 1183: BRITTON\n",
      "Line 1184: FORREST\n",
      "Line 1185: NANCE\n",
      "Line 1186: LEHMAN\n",
      "Line 1187: BINGHAM\n",
      "Line 1188: ZUNIGA\n",
      "Line 1189: WHALEY\n",
      "Line 1190: SHAFER\n",
      "Line 1191: COFFMAN\n",
      "Line 1192: STEWARD\n",
      "Line 1193: DELAROSA\n",
      "Line 1194: NIX\n",
      "Line 1195: NEELY\n",
      "Line 1196: NUMBERS\n",
      "Line 1197: MATA\n",
      "Line 1198: MANUEL\n",
      "Line 1199: DAVILA\n",
      "Line 1200: MCCABE\n",
      "Line 1201: KESSLER\n",
      "Line 1202: EMERY\n",
      "Line 1203: BOWLING\n",
      "Line 1204: HINKLE\n",
      "Line 1205: WELSH\n",
      "Line 1206: PAGAN\n",
      "Line 1207: GOLDBERG\n",
      "Line 1208: GOINS\n",
      "Line 1209: CROUCH\n",
      "Line 1210: CUEVAS\n",
      "Line 1211: QUINONES\n",
      "Line 1212: MCDERMOTT\n",
      "Line 1213: HENDRICKSON\n",
      "Line 1214: SAMUELS\n",
      "Line 1215: DENTON\n",
      "Line 1216: BERGERON\n",
      "Line 1217: LAM\n",
      "Line 1218: IVEY\n",
      "Line 1219: LOCKE\n",
      "Line 1220: HAINES\n",
      "Line 1221: THURMAN\n",
      "Line 1222: SNELL\n",
      "Line 1223: HOSKINS\n",
      "Line 1224: BYRNE\n",
      "Line 1225: MILTON\n",
      "Line 1226: WINSTON\n",
      "Line 1227: ARTHUR\n",
      "Line 1228: ARIAS\n",
      "Line 1229: STANFORD\n",
      "Line 1230: ROE\n",
      "Line 1231: CORBIN\n",
      "Line 1232: BELTRAN\n",
      "Line 1233: CHAPPELL\n",
      "Line 1234: HURT\n",
      "Line 1235: DOWNEY\n",
      "Line 1236: DOOLEY\n",
      "Line 1237: TUTTLE\n",
      "Line 1238: COUCH\n",
      "Line 1239: PAYTON\n",
      "Line 1240: MCELROY\n",
      "Line 1241: CROCKETT\n",
      "Line 1242: GROVES\n",
      "Line 1243: CLEMENT\n",
      "Line 1244: LESLIE\n",
      "Line 1245: CARTWRIGHT\n",
      "Line 1246: DICKEY\n",
      "Line 1247: MCGILL\n",
      "Line 1248: DUBOIS\n",
      "Line 1249: MUNIZ\n",
      "Line 1250: ERWIN\n",
      "Line 1251: SELF\n",
      "Line 1252: TOLBERT\n",
      "Line 1253: DEMPSEY\n",
      "Line 1254: CISNEROS\n",
      "Line 1255: SEWELL\n",
      "Line 1256: LATHAM\n",
      "Line 1257: GARLAND\n",
      "Line 1258: VIGIL\n",
      "Line 1259: TAPIA\n",
      "Line 1260: STERLING\n",
      "Line 1261: RAINEY\n",
      "Line 1262: NORWOOD\n",
      "Line 1263: LACY\n",
      "Line 1264: STROUD\n",
      "Line 1265: MEADE\n",
      "Line 1266: AMOS\n",
      "Line 1267: TIPTON\n",
      "Line 1268: LORD\n",
      "Line 1269: KUHN\n",
      "Line 1270: HILLIARD\n",
      "Line 1271: BONILLA\n",
      "Line 1272: TEAGUE\n",
      "Line 1273: COURTNEY\n",
      "Line 1274: GUNN\n",
      "Line 1275: HO\n",
      "Line 1276: GREENWOOD\n",
      "Line 1277: CORREA\n",
      "Line 1278: REECE\n",
      "Line 1279: WESTON\n",
      "Line 1280: POE\n",
      "Line 1281: TRENT\n",
      "Line 1282: PINEDA\n",
      "Line 1283: PHIPPS\n",
      "Line 1284: FREY\n",
      "Line 1285: KAISER\n",
      "Line 1286: AMES\n",
      "Line 1287: PAIGE\n",
      "Line 1288: GUNTER\n",
      "Line 1289: SCHMITT\n",
      "Line 1290: MILLIGAN\n",
      "Line 1291: ESPINOSA\n",
      "Line 1292: CARLTON\n",
      "Line 1293: BOWDEN\n",
      "Line 1294: VICKERS\n",
      "Line 1295: LOWRY\n",
      "Line 1296: PRITCHARD\n",
      "Line 1297: COSTELLO\n",
      "Line 1298: PIPER\n",
      "Line 1299: MCCLELLAN\n",
      "Line 1300: LOVELL\n",
      "Line 1301: DREW\n",
      "Line 1302: SHEEHAN\n",
      "Line 1303: QUICK\n",
      "Line 1304: HATCH\n",
      "Line 1305: DOBSON\n",
      "Line 1306: SINGH\n",
      "Line 1307: JEFFRIES\n",
      "Line 1308: HOLLINGSWORTH\n",
      "Line 1309: SORENSEN\n",
      "Line 1310: MEZA\n",
      "Line 1311: FINK\n",
      "Line 1312: DONNELLY\n",
      "Line 1313: BURRELL\n",
      "Line 1314: BRUNO\n",
      "Line 1315: TOMLINSON\n",
      "Line 1316: COLBERT\n",
      "Line 1317: BILLINGS\n",
      "Line 1318: RITCHIE\n",
      "Line 1319: HELTON\n",
      "Line 1320: SUTHERLAND\n",
      "Line 1321: PEOPLES\n",
      "Line 1322: MCQUEEN\n",
      "Line 1323: GASTON\n",
      "Line 1324: THOMASON\n",
      "Line 1325: MCKINLEY\n",
      "Line 1326: GIVENS\n",
      "Line 1327: CROCKER\n",
      "Line 1328: VOGEL\n",
      "Line 1329: ROBISON\n",
      "Line 1330: DUNHAM\n",
      "Line 1331: COKER\n",
      "Line 1332: SWARTZ\n",
      "Line 1333: KEYS\n",
      "Line 1334: LILLY\n",
      "Line 1335: LADNER\n",
      "Line 1336: HANNAH\n",
      "Line 1337: WILLARD\n",
      "Line 1338: RICHTER\n",
      "Line 1339: HARGROVE\n",
      "Line 1340: EDMONDS\n",
      "Line 1341: BRANTLEY\n",
      "Line 1342: ALBRIGHT\n",
      "Line 1343: MURDOCK\n",
      "Line 1344: BOSWELL\n",
      "Line 1345: MULLER\n",
      "Line 1346: QUINTERO\n",
      "Line 1347: PADGETT\n",
      "Line 1348: KENNEY\n",
      "Line 1349: DALY\n",
      "Line 1350: CONNOLLY\n",
      "Line 1351: PIERRE\n",
      "Line 1352: INMAN\n",
      "Line 1353: QUINTANA\n",
      "Line 1354: LUND\n",
      "Line 1355: BARNARD\n",
      "Line 1356: VILLEGAS\n",
      "Line 1357: SIMONS\n",
      "Line 1358: LAND\n",
      "Line 1359: HUGGINS\n",
      "Line 1360: TIDWELL\n",
      "Line 1361: SANDERSON\n",
      "Line 1362: BULLARD\n",
      "Line 1363: MCCLENDON\n",
      "Line 1364: DUARTE\n",
      "Line 1365: DRAPER\n",
      "Line 1366: MEREDITH\n",
      "Line 1367: MARRERO\n",
      "Line 1368: DWYER\n",
      "Line 1369: ABRAMS\n",
      "Line 1370: STOVER\n",
      "Line 1371: GOODE\n",
      "Line 1372: FRASER\n",
      "Line 1373: CREWS\n",
      "Line 1374: BERNAL\n",
      "Line 1375: SMILEY\n",
      "Line 1376: GODWIN\n",
      "Line 1377: FISH\n",
      "Line 1378: CONKLIN\n",
      "Line 1379: MCNEAL\n",
      "Line 1380: BACA\n",
      "Line 1381: ESPARZA\n",
      "Line 1382: CROWDER\n",
      "Line 1383: BOWER\n",
      "Line 1384: NICHOLAS\n",
      "Line 1385: CHUNG\n",
      "Line 1386: BREWSTER\n",
      "Line 1387: MCNEILL\n",
      "Line 1388: DICK\n",
      "Line 1389: RODRIGUES\n",
      "Line 1390: LEAL\n",
      "Line 1391: COATES\n",
      "Line 1392: RAINES\n",
      "Line 1393: MCCAIN\n",
      "Line 1394: MCCORD\n",
      "Line 1395: MINER\n",
      "Line 1396: HOLBROOK\n",
      "Line 1397: SWIFT\n",
      "Line 1398: DUKES\n",
      "Line 1399: CARLISLE\n",
      "Line 1400: ALDRIDGE\n",
      "Line 1401: ACKERMAN\n",
      "Line 1402: STARKS\n",
      "Line 1403: RICKS\n",
      "Line 1404: HOLLIDAY\n",
      "Line 1405: FERRIS\n",
      "Line 1406: HAIRSTON\n",
      "Line 1407: SHEFFIELD\n",
      "Line 1408: LANGE\n",
      "Line 1409: FOUNTAIN\n",
      "Line 1410: MARINO\n",
      "Line 1411: DOSS\n",
      "Line 1412: BETTS\n",
      "Line 1413: KAPLAN\n",
      "Line 1414: CARMICHAEL\n",
      "Line 1415: BLOOM\n",
      "Line 1416: RUFFIN\n",
      "Line 1417: PENN\n",
      "Line 1418: KERN\n",
      "Line 1419: BOWLES\n",
      "Line 1420: SIZEMORE\n",
      "Line 1421: LARKIN\n",
      "Line 1422: DUPREE\n",
      "Line 1423: JEWELL\n",
      "Line 1424: SILVER\n",
      "Line 1425: SEALS\n",
      "Line 1426: METCALF\n",
      "Line 1427: HUTCHISON\n",
      "Line 1428: HENLEY\n",
      "Line 1429: FARR\n",
      "Line 1430: CASTLE\n",
      "Line 1431: MCCAULEY\n",
      "Line 1432: HANKINS\n",
      "Line 1433: GUSTAFSON\n",
      "Line 1434: DEAL\n",
      "Line 1435: CURRAN\n",
      "Line 1436: ASH\n",
      "Line 1437: WADDELL\n",
      "Line 1438: RAMEY\n",
      "Line 1439: CATES\n",
      "Line 1440: POLLOCK\n",
      "Line 1441: MAJOR\n",
      "Line 1442: IRVIN\n",
      "Line 1443: CUMMINS\n",
      "Line 1444: MESSER\n",
      "Line 1445: HELLER\n",
      "Line 1446: DEWITT\n",
      "Line 1447: LIN\n",
      "Line 1448: FUNK\n",
      "Line 1449: CORNETT\n",
      "Line 1450: PALACIOS\n",
      "Line 1451: GALINDO\n",
      "Line 1452: CANO\n",
      "Line 1453: HATHAWAY\n",
      "Line 1454: SINGER\n",
      "Line 1455: PHAM\n",
      "Line 1456: ENRIQUEZ\n",
      "Line 1457: AARON\n",
      "Line 1458: SALGADO\n",
      "Line 1459: PELLETIER\n",
      "Line 1460: PAINTER\n",
      "Line 1461: WISEMAN\n",
      "Line 1462: BLOUNT\n",
      "Line 1463: HAND\n",
      "Line 1464: FELICIANO\n",
      "Line 1465: TEMPLE\n",
      "Line 1466: HOUSER\n",
      "Line 1467: DOHERTY\n",
      "Line 1468: MEAD\n",
      "Line 1469: MCGRAW\n",
      "Line 1470: TONEY\n",
      "Line 1471: SWAN\n",
      "Line 1472: MELVIN\n",
      "Line 1473: CAPPS\n",
      "Line 1474: BLANCO\n",
      "Line 1475: BLACKMON\n",
      "Line 1476: WESLEY\n",
      "Line 1477: THOMSON\n",
      "Line 1478: MCMANUS\n",
      "Line 1479: FAIR\n",
      "Line 1480: BURKETT\n",
      "Line 1481: POST\n",
      "Line 1482: GLEASON\n",
      "Line 1483: RUDOLPH\n",
      "Line 1484: OTT\n",
      "Line 1485: DICKENS\n",
      "Line 1486: CORMIER\n",
      "Line 1487: VOSS\n",
      "Line 1488: RUSHING\n",
      "Line 1489: ROSENBERG\n",
      "Line 1490: HURD\n",
      "Line 1491: DUMAS\n",
      "Line 1492: BENITEZ\n",
      "Line 1493: ARELLANO\n",
      "Line 1494: STORY\n",
      "Line 1495: MARIN\n",
      "Line 1496: CAUDILL\n",
      "Line 1497: BRAGG\n",
      "Line 1498: JARAMILLO\n",
      "Line 1499: HUERTA\n",
      "Line 1500: GIPSON\n",
      "Line 1501: COLVIN\n",
      "Line 1502: BIGGS\n",
      "Line 1503: VELA\n",
      "Line 1504: PLATT\n",
      "Line 1505: CASSIDY\n",
      "Line 1506: TOMPKINS\n",
      "Line 1507: MCCOLLUM\n",
      "Line 1508: KAY\n",
      "Line 1509: GABRIEL\n",
      "Line 1510: DOLAN\n",
      "Line 1511: DALEY\n",
      "Line 1512: CRUMP\n",
      "Line 1513: STREET\n",
      "Line 1514: SNEED\n",
      "Line 1515: KILGORE\n",
      "Line 1516: GROVE\n",
      "Line 1517: GRIMM\n",
      "Line 1518: DAVISON\n",
      "Line 1519: BRUNSON\n",
      "Line 1520: PRATER\n",
      "Line 1521: MARCUM\n",
      "Line 1522: DEVINE\n",
      "Line 1523: KYLE\n",
      "Line 1524: DODGE\n",
      "Line 1525: STRATTON\n",
      "Line 1526: ROSAS\n",
      "Line 1527: CHOI\n",
      "Line 1528: TRIPP\n",
      "Line 1529: LEDBETTER\n",
      "Line 1530: LAY\n",
      "Line 1531: HIGHTOWER\n",
      "Line 1532: HAYWOOD\n",
      "Line 1533: FELDMAN\n",
      "Line 1534: EPPS\n",
      "Line 1535: YEAGER\n",
      "Line 1536: POSEY\n",
      "Line 1537: SYLVESTER\n",
      "Line 1538: SCRUGGS\n",
      "Line 1539: COPE\n",
      "Line 1540: STUBBS\n",
      "Line 1541: RICHEY\n",
      "Line 1542: OVERTON\n",
      "Line 1543: TROTTER\n",
      "Line 1544: SPRAGUE\n",
      "Line 1545: CORDERO\n",
      "Line 1546: BUTCHER\n",
      "Line 1547: BURGER\n",
      "Line 1548: STILES\n",
      "Line 1549: BURGOS\n",
      "Line 1550: WOODSON\n",
      "Line 1551: HORNER\n",
      "Line 1552: BASSETT\n",
      "Line 1553: PURCELL\n",
      "Line 1554: HASKINS\n",
      "Line 1555: GEE\n",
      "Line 1556: AKINS\n",
      "Line 1557: ABRAHAM\n",
      "Line 1558: HOYT\n",
      "Line 1559: ZIEGLER\n",
      "Line 1560: SPAULDING\n",
      "Line 1561: HADLEY\n",
      "Line 1562: GRUBBS\n",
      "Line 1563: SUMNER\n",
      "Line 1564: MURILLO\n",
      "Line 1565: ZAVALA\n",
      "Line 1566: SHOOK\n",
      "Line 1567: LOCKWOOD\n",
      "Line 1568: JARRETT\n",
      "Line 1569: DRISCOLL\n",
      "Line 1570: DAHL\n",
      "Line 1571: THORPE\n",
      "Line 1572: SHERIDAN\n",
      "Line 1573: REDMOND\n",
      "Line 1574: PUTNAM\n",
      "Line 1575: MCWILLIAMS\n",
      "Line 1576: MCRAE\n",
      "Line 1577: CORNELL\n",
      "Line 1578: FELTON\n",
      "Line 1579: ROMANO\n",
      "Line 1580: JOINER\n",
      "Line 1581: SADLER\n",
      "Line 1582: HEDRICK\n",
      "Line 1583: HAGER\n",
      "Line 1584: HAGEN\n",
      "Line 1585: FITCH\n",
      "Line 1586: COULTER\n",
      "Line 1587: THACKER\n",
      "Line 1588: MANSFIELD\n",
      "Line 1589: LANGSTON\n",
      "Line 1590: GUIDRY\n",
      "Line 1591: FERREIRA\n",
      "Line 1592: CORLEY\n",
      "Line 1593: CONN\n",
      "Line 1594: ROSSI\n",
      "Line 1595: LACKEY\n",
      "Line 1596: CODY\n",
      "Line 1597: BAEZ\n",
      "Line 1598: SAENZ\n",
      "Line 1599: MCNAMARA\n",
      "Line 1600: DARNELL\n",
      "Line 1601: MICHEL\n",
      "Line 1602: MCMULLEN\n",
      "Line 1603: MCKENNA\n",
      "Line 1604: MCDONOUGH\n",
      "Line 1605: LINK\n",
      "Line 1606: ENGEL\n",
      "Line 1607: BROWNE\n",
      "Line 1608: ROPER\n",
      "Line 1609: PEACOCK\n",
      "Line 1610: EUBANKS\n",
      "Line 1611: DRUMMOND\n",
      "Line 1612: STRINGER\n",
      "Line 1613: PRITCHETT\n",
      "Line 1614: PARHAM\n",
      "Line 1615: MIMS\n",
      "Line 1616: LANDERS\n",
      "Line 1617: HAM\n",
      "Line 1618: GRAYSON\n",
      "Line 1619: STACY\n",
      "Line 1620: SCHAFER\n",
      "Line 1621: EGAN\n",
      "Line 1622: TIMMONS\n",
      "Line 1623: OHARA\n",
      "Line 1624: KEEN\n",
      "Line 1625: HAMLIN\n",
      "Line 1626: FINN\n",
      "Line 1627: CORTES\n",
      "Line 1628: MCNAIR\n",
      "Line 1629: LOUIS\n",
      "Line 1630: CLIFFORD\n",
      "Line 1631: NADEAU\n",
      "Line 1632: MOSELEY\n",
      "Line 1633: MICHAUD\n",
      "Line 1634: ROSEN\n",
      "Line 1635: OAKES\n",
      "Line 1636: KURTZ\n",
      "Line 1637: JEFFERS\n",
      "Line 1638: CALLOWAY\n",
      "Line 1639: BEAL\n",
      "Line 1640: BAUTISTA\n",
      "Line 1641: WINN\n",
      "Line 1642: SUGGS\n",
      "Line 1643: STERN\n",
      "Line 1644: STAPLETON\n",
      "Line 1645: LYLES\n",
      "Line 1646: LAIRD\n",
      "Line 1647: MONTANO\n",
      "Line 1648: DIAMOND\n",
      "Line 1649: DAWKINS\n",
      "Line 1650: ROLAND\n",
      "Line 1651: HAGAN\n",
      "Line 1652: GOLDMAN\n",
      "Line 1653: BRYSON\n",
      "Line 1654: BARAJAS\n",
      "Line 1655: LOVETT\n",
      "Line 1656: SEGURA\n",
      "Line 1657: METZ\n",
      "Line 1658: LOCKETT\n",
      "Line 1659: LANGFORD\n",
      "Line 1660: HINSON\n",
      "Line 1661: EASTMAN\n",
      "Line 1662: ROCK\n",
      "Line 1663: HOOKS\n",
      "Line 1664: WOODY\n",
      "Line 1665: SMALLWOOD\n",
      "Line 1666: SHAPIRO\n",
      "Line 1667: CROWELL\n",
      "Line 1668: WHALEN\n",
      "Line 1669: TRIPLETT\n",
      "Line 1670: HOOKER\n",
      "Line 1671: CHATMAN\n",
      "Line 1672: ALDRICH\n",
      "Line 1673: CAHILL\n",
      "Line 1674: YOUNGBLOOD\n",
      "Line 1675: YBARRA\n",
      "Line 1676: STALLINGS\n",
      "Line 1677: SHEETS\n",
      "Line 1678: SAMUEL\n",
      "Line 1679: REEDER\n",
      "Line 1680: PERSON\n",
      "Line 1681: PACK\n",
      "Line 1682: LACEY\n",
      "Line 1683: CONNELLY\n",
      "Line 1684: BATEMAN\n",
      "Line 1685: ABERNATHY\n",
      "Line 1686: WINKLER\n",
      "Line 1687: WILKES\n",
      "Line 1688: MASTERS\n",
      "Line 1689: HACKETT\n",
      "Line 1690: GRANGER\n",
      "Line 1691: GILLIS\n",
      "Line 1692: SCHMITZ\n",
      "Line 1693: SAPP\n",
      "Line 1694: NAPIER\n",
      "Line 1695: SOUZA\n",
      "Line 1696: LANIER\n",
      "Line 1697: GOMES\n",
      "Line 1698: WEIR\n",
      "Line 1699: OTERO\n",
      "Line 1700: LEDFORD\n",
      "Line 1701: BURROUGHS\n",
      "Line 1702: BABCOCK\n",
      "Line 1703: VENTURA\n",
      "Line 1704: SIEGEL\n",
      "Line 1705: DUGAN\n",
      "Line 1706: CLINTON\n",
      "Line 1707: CHRISTIE\n",
      "Line 1708: BLEDSOE\n",
      "Line 1709: ATWOOD\n",
      "Line 1710: WRAY\n",
      "Line 1711: VARNER\n",
      "Line 1712: SPANGLER\n",
      "Line 1713: OTTO\n",
      "Line 1714: ANAYA\n",
      "Line 1715: STALEY\n",
      "Line 1716: KRAFT\n",
      "Line 1717: FOURNIER\n",
      "Line 1718: EDDY\n",
      "Line 1719: BELANGER\n",
      "Line 1720: WOLFF\n",
      "Line 1721: THORNE\n",
      "Line 1722: BYNUM\n",
      "Line 1723: BURNETTE\n",
      "Line 1724: BOYKIN\n",
      "Line 1725: SWENSON\n",
      "Line 1726: PURVIS\n",
      "Line 1727: PINA\n",
      "Line 1728: KHAN\n",
      "Line 1729: DUVALL\n",
      "Line 1730: DARBY\n",
      "Line 1731: XIONG\n",
      "Line 1732: KAUFFMAN\n",
      "Line 1733: ALI\n",
      "Line 1734: YU\n",
      "Line 1735: HEALY\n",
      "Line 1736: ENGLE\n",
      "Line 1737: CORONA\n",
      "Line 1738: BENOIT\n",
      "Line 1739: VALLE\n",
      "Line 1740: STEINER\n",
      "Line 1741: SPICER\n",
      "Line 1742: SHAVER\n",
      "Line 1743: RANDLE\n",
      "Line 1744: LUNDY\n",
      "Line 1745: DOW\n",
      "Line 1746: CHIN\n",
      "Line 1747: CALVERT\n",
      "Line 1748: STATON\n",
      "Line 1749: NEFF\n",
      "Line 1750: KEARNEY\n",
      "Line 1751: DARDEN\n",
      "Line 1752: OAKLEY\n",
      "Line 1753: MEDEIROS\n",
      "Line 1754: MCCRACKEN\n",
      "Line 1755: CRENSHAW\n",
      "Line 1756: BLOCK\n",
      "Line 1757: BEAVER\n",
      "Line 1758: PERDUE\n",
      "Line 1759: DILL\n",
      "Line 1760: WHITTAKER\n",
      "Line 1761: TOBIN\n",
      "Line 1762: CORNELIUS\n",
      "Line 1763: WASHBURN\n",
      "Line 1764: HOGUE\n",
      "Line 1765: GOODRICH\n",
      "Line 1766: EASLEY\n",
      "Line 1767: BRAVO\n",
      "Line 1768: DENNISON\n",
      "Line 1769: VERA\n",
      "Line 1770: SHIPLEY\n",
      "Line 1771: KERNS\n",
      "Line 1772: JORGENSEN\n",
      "Line 1773: CRAIN\n",
      "Line 1774: ABEL\n",
      "Line 1775: VILLALOBOS\n",
      "Line 1776: MAURER\n",
      "Line 1777: LONGORIA\n",
      "Line 1778: KEENE\n",
      "Line 1779: COON\n",
      "Line 1780: SIERRA\n",
      "Line 1781: WITHERSPOON\n",
      "Line 1782: STAPLES\n",
      "Line 1783: PETTIT\n",
      "Line 1784: KINCAID\n",
      "Line 1785: EASON\n",
      "Line 1786: MADRID\n",
      "Line 1787: ECHOLS\n",
      "Line 1788: LUSK\n",
      "Line 1789: WU\n",
      "Line 1790: STAHL\n",
      "Line 1791: CURRIE\n",
      "Line 1792: THAYER\n",
      "Line 1793: SHULTZ\n",
      "Line 1794: SHERWOOD\n",
      "Line 1795: MCNALLY\n",
      "Line 1796: SEAY\n",
      "Line 1797: NORTH\n",
      "Line 1798: MAHER\n",
      "Line 1799: KENNY\n",
      "Line 1800: HOPE\n",
      "Line 1801: GAGNE\n",
      "Line 1802: BARROW\n",
      "Line 1803: NAVA\n",
      "Line 1804: MYLES\n",
      "Line 1805: MORELAND\n",
      "Line 1806: HONEYCUTT\n",
      "Line 1807: HEARN\n",
      "Line 1808: DIGGS\n",
      "Line 1809: CARON\n",
      "Line 1810: WHITTEN\n",
      "Line 1811: WESTBROOK\n",
      "Line 1812: STOVALL\n",
      "Line 1813: RAGLAND\n",
      "Line 1814: QUEEN\n",
      "Line 1815: MUNSON\n",
      "Line 1816: MEIER\n",
      "Line 1817: LOONEY\n",
      "Line 1818: KIMBLE\n",
      "Line 1819: JOLLY\n",
      "Line 1820: HOBSON\n",
      "Line 1821: LONDON\n",
      "Line 1822: GODDARD\n",
      "Line 1823: CULVER\n",
      "Line 1824: BURR\n",
      "Line 1825: PRESLEY\n",
      "Line 1826: NEGRON\n",
      "Line 1827: CONNELL\n",
      "Line 1828: TOVAR\n",
      "Line 1829: MARCUS\n",
      "Line 1830: HUDDLESTON\n",
      "Line 1831: HAMMER\n",
      "Line 1832: ASHBY\n",
      "Line 1833: SALTER\n",
      "Line 1834: ROOT\n",
      "Line 1835: PENDLETON\n",
      "Line 1836: OLEARY\n",
      "Line 1837: NICKERSON\n",
      "Line 1838: MYRICK\n",
      "Line 1839: JUDD\n",
      "Line 1840: JACOBSEN\n",
      "Line 1841: ELLIOT\n",
      "Line 1842: BAIN\n",
      "Line 1843: ADAIR\n",
      "Line 1844: STARNES\n",
      "Line 1845: SHELDON\n",
      "Line 1846: MATOS\n",
      "Line 1847: LIGHT\n",
      "Line 1848: BUSBY\n",
      "Line 1849: HERNDON\n",
      "Line 1850: HANLEY\n",
      "Line 1851: BELLAMY\n",
      "Line 1852: JACK\n",
      "Line 1853: DOTY\n",
      "Line 1854: BARTLEY\n",
      "Line 1855: YAZZIE\n",
      "Line 1856: ROWELL\n",
      "Line 1857: PARSON\n",
      "Line 1858: GIFFORD\n",
      "Line 1859: CULLEN\n",
      "Line 1860: CHRISTIANSEN\n",
      "Line 1861: BENAVIDES\n",
      "Line 1862: BARNHART\n",
      "Line 1863: TALBOT\n",
      "Line 1864: MOCK\n",
      "Line 1865: CRANDALL\n",
      "Line 1866: CONNORS\n",
      "Line 1867: BONDS\n",
      "Line 1868: WHITT\n",
      "Line 1869: GAGE\n",
      "Line 1870: BERGMAN\n",
      "Line 1871: ARREDONDO\n",
      "Line 1872: ADDISON\n",
      "Line 1873: MARION\n",
      "Line 1874: LUJAN\n",
      "Line 1875: DOWDY\n",
      "Line 1876: JERNIGAN\n",
      "Line 1877: HUYNH\n",
      "Line 1878: BOUCHARD\n",
      "Line 1879: DUTTON\n",
      "Line 1880: RHOADES\n",
      "Line 1881: OUELLETTE\n",
      "Line 1882: KISER\n",
      "Line 1883: RUBIN\n",
      "Line 1884: HERRINGTON\n",
      "Line 1885: HARE\n",
      "Line 1886: DENNY\n",
      "Line 1887: BLACKMAN\n",
      "Line 1888: BABB\n",
      "Line 1889: ALLRED\n",
      "Line 1890: RUDD\n",
      "Line 1891: PAULSON\n",
      "Line 1892: OGDEN\n",
      "Line 1893: KOENIG\n",
      "Line 1894: JACOB\n",
      "Line 1895: IRVING\n",
      "Line 1896: GEIGER\n",
      "Line 1897: BEGAY\n",
      "Line 1898: PARRA\n",
      "Line 1899: CHAMPION\n",
      "Line 1900: LASSITER\n",
      "Line 1901: HAWK\n",
      "Line 1902: ESPOSITO\n",
      "Line 1903: CHO\n",
      "Line 1904: WALDRON\n",
      "Line 1905: VERNON\n",
      "Line 1906: RANSOM\n",
      "Line 1907: PRATHER\n",
      "Line 1908: KEENAN\n",
      "Line 1909: JEAN\n",
      "Line 1910: GROVER\n",
      "Line 1911: CHACON\n",
      "Line 1912: VICK\n",
      "Line 1913: SANDS\n",
      "Line 1914: ROARK\n",
      "Line 1915: PARR\n",
      "Line 1916: MAYBERRY\n",
      "Line 1917: GREENBERG\n",
      "Line 1918: COLEY\n",
      "Line 1919: BRUNER\n",
      "Line 1920: WHITMAN\n",
      "Line 1921: SKAGGS\n",
      "Line 1922: SHIPMAN\n",
      "Line 1923: MEANS\n",
      "Line 1924: LEARY\n",
      "Line 1925: HUTTON\n",
      "Line 1926: ROMO\n",
      "Line 1927: MEDRANO\n",
      "Line 1928: LADD\n",
      "Line 1929: KRUSE\n",
      "Line 1930: FRIEND\n",
      "Line 1931: DARLING\n",
      "Line 1932: ASKEW\n",
      "Line 1933: VALENTIN\n",
      "Line 1934: SCHULZ\n",
      "Line 1935: ALFARO\n",
      "Line 1936: TABOR\n",
      "Line 1937: MOHR\n",
      "Line 1938: GALLO\n",
      "Line 1939: BERMUDEZ\n",
      "Line 1940: PEREIRA\n",
      "Line 1941: ISAAC\n",
      "Line 1942: BLISS\n",
      "Line 1943: REAVES\n",
      "Line 1944: FLINT\n",
      "Line 1945: COMER\n",
      "Line 1946: BOSTON\n",
      "Line 1947: WOODALL\n",
      "Line 1948: NAQUIN\n",
      "Line 1949: GUEVARA\n",
      "Line 1950: EARL\n",
      "Line 1951: DELONG\n",
      "Line 1952: CARRIER\n",
      "Line 1953: PICKENS\n",
      "Line 1954: BRAND\n",
      "Line 1955: TILLEY\n",
      "Line 1956: SCHAFFER\n",
      "Line 1957: READ\n",
      "Line 1958: LIM\n",
      "Line 1959: KNUTSON\n",
      "Line 1960: FENTON\n",
      "Line 1961: DORAN\n",
      "Line 1962: CHU\n",
      "Line 1963: VOGT\n",
      "Line 1964: VANN\n",
      "Line 1965: PRESCOTT\n",
      "Line 1966: MCLAIN\n",
      "Line 1967: LANDIS\n",
      "Line 1968: CORCORAN\n",
      "Line 1969: AMBROSE\n",
      "Line 1970: ZAPATA\n",
      "Line 1971: HYATT\n",
      "Line 1972: HEMPHILL\n",
      "Line 1973: FAULK\n",
      "Line 1974: CALL\n",
      "Line 1975: DOVE\n",
      "Line 1976: BOUDREAUX\n",
      "Line 1977: ARAGON\n",
      "Line 1978: WHITLOCK\n",
      "Line 1979: TREJO\n",
      "Line 1980: TACKETT\n",
      "Line 1981: SHEARER\n",
      "Line 1982: SALDANA\n",
      "Line 1983: HANKS\n",
      "Line 1984: GOLD\n",
      "Line 1985: DRIVER\n",
      "Line 1986: MCKINNON\n",
      "Line 1987: KOEHLER\n",
      "Line 1988: CHAMPAGNE\n",
      "Line 1989: BOURGEOIS\n",
      "Line 1990: POOL\n",
      "Line 1991: KEYES\n",
      "Line 1992: GOODSON\n",
      "Line 1993: FOOTE\n",
      "Line 1994: EARLY\n",
      "Line 1995: LUNSFORD\n",
      "Line 1996: GOLDSMITH\n",
      "Line 1997: FLOOD\n",
      "Line 1998: WINSLOW\n",
      "Line 1999: SAMS\n",
      "Line 2000: REAGAN\n",
      "Line 2001: MCCLOUD\n",
      "Line 2002: HOUGH\n",
      "Line 2003: ESQUIVEL\n",
      "Line 2004: NAYLOR\n",
      "Line 2005: LOOMIS\n",
      "Line 2006: CORONADO\n",
      "Line 2007: LUDWIG\n",
      "Line 2008: BRASWELL\n",
      "Line 2009: BEARDEN\n",
      "Line 2010: SHERRILL\n",
      "Line 2011: HUANG\n",
      "Line 2012: FAGAN\n",
      "Line 2013: EZELL\n",
      "Line 2014: EDMONDSON\n",
      "Line 2015: CYR\n",
      "Line 2016: CRONIN\n",
      "Line 2017: NUNN\n",
      "Line 2018: LEMON\n",
      "Line 2019: GUILLORY\n",
      "Line 2020: GRIER\n",
      "Line 2021: DUBOSE\n",
      "Line 2022: TRAYLOR\n",
      "Line 2023: RYDER\n",
      "Line 2024: DOBBINS\n",
      "Line 2025: COYLE\n",
      "Line 2026: APONTE\n",
      "Line 2027: WHITMORE\n",
      "Line 2028: SMALLS\n",
      "Line 2029: ROWAN\n",
      "Line 2030: MALLOY\n",
      "Line 2031: CARDONA\n",
      "Line 2032: BRAXTON\n",
      "Line 2033: BORDEN\n",
      "Line 2034: HUMPHRIES\n",
      "Line 2035: CARRASCO\n",
      "Line 2036: RUFF\n",
      "Line 2037: METZGER\n",
      "Line 2038: HUNTLEY\n",
      "Line 2039: HINOJOSA\n",
      "Line 2040: FINNEY\n",
      "Line 2041: MADSEN\n",
      "Line 2042: HONG\n",
      "Line 2043: HILLS\n",
      "Line 2044: ERNST\n",
      "Line 2045: DOZIER\n",
      "Line 2046: BURKHART\n",
      "Line 2047: BOWSER\n",
      "Line 2048: PERALTA\n",
      "Line 2049: DAIGLE\n",
      "Line 2050: WHITTINGTON\n",
      "Line 2051: SORENSON\n",
      "Line 2052: SAUCEDO\n",
      "Line 2053: ROCHE\n",
      "Line 2054: REDDING\n",
      "Line 2055: LOYD\n",
      "Line 2056: FUGATE\n",
      "Line 2057: AVALOS\n",
      "Line 2058: WAITE\n",
      "Line 2059: LIND\n",
      "Line 2060: HUSTON\n",
      "Line 2061: HAY\n",
      "Line 2062: BENEDICT\n",
      "Line 2063: HAWTHORNE\n",
      "Line 2064: HAMBY\n",
      "Line 2065: BOYLES\n",
      "Line 2066: BOLES\n",
      "Line 2067: REGAN\n",
      "Line 2068: FAUST\n",
      "Line 2069: CROOK\n",
      "Line 2070: BEAM\n",
      "Line 2071: BARGER\n",
      "Line 2072: HINDS\n",
      "Line 2073: GALLARDO\n",
      "Line 2074: ELIAS\n",
      "Line 2075: WILLOUGHBY\n",
      "Line 2076: WILLINGHAM\n",
      "Line 2077: WILBURN\n",
      "Line 2078: ECKERT\n",
      "Line 2079: BUSCH\n",
      "Line 2080: ZEPEDA\n",
      "Line 2081: WORTHINGTON\n",
      "Line 2082: TINSLEY\n",
      "Line 2083: RUSS\n",
      "Line 2084: LI\n",
      "Line 2085: HOFF\n",
      "Line 2086: HAWLEY\n",
      "Line 2087: CARMONA\n",
      "Line 2088: VARELA\n",
      "Line 2089: RECTOR\n",
      "Line 2090: NEWCOMB\n",
      "Line 2091: MALLORY\n",
      "Line 2092: KINSEY\n",
      "Line 2093: DUBE\n",
      "Line 2094: WHATLEY\n",
      "Line 2095: STRANGE\n",
      "Line 2096: RAGSDALE\n",
      "Line 2097: IVY\n",
      "Line 2098: BERNSTEIN\n",
      "Line 2099: BECERRA\n",
      "Line 2100: YOST\n",
      "Line 2101: MATTSON\n",
      "Line 2102: LY\n",
      "Line 2103: FELDER\n",
      "Line 2104: CHEEK\n",
      "Line 2105: LUKE\n",
      "Line 2106: HANDY\n",
      "Line 2107: GROSSMAN\n",
      "Line 2108: GAUTHIER\n",
      "Line 2109: ESCOBEDO\n",
      "Line 2110: BRADEN\n",
      "Line 2111: BECKMAN\n",
      "Line 2112: MOTT\n",
      "Line 2113: HILLMAN\n",
      "Line 2114: GIL\n",
      "Line 2115: FLAHERTY\n",
      "Line 2116: DYKES\n",
      "Line 2117: DOE\n",
      "Line 2118: STOCKTON\n",
      "Line 2119: STEARNS\n",
      "Line 2120: LOFTON\n",
      "Line 2121: KITCHEN\n",
      "Line 2122: COATS\n",
      "Line 2123: CAVAZOS\n",
      "Line 2124: BEAVERS\n",
      "Line 2125: BARRIOS\n",
      "Line 2126: TANG\n",
      "Line 2127: PARISH\n",
      "Line 2128: MOSHER\n",
      "Line 2129: LINCOLN\n",
      "Line 2130: CARDWELL\n",
      "Line 2131: COLES\n",
      "Line 2132: BURNHAM\n",
      "Line 2133: WELLER\n",
      "Line 2134: LEMONS\n",
      "Line 2135: BEEBE\n",
      "Line 2136: AGUILERA\n",
      "Line 2137: RING\n",
      "Line 2138: PARNELL\n",
      "Line 2139: HARMAN\n",
      "Line 2140: COUTURE\n",
      "Line 2141: ALLEY\n",
      "Line 2142: SCHUMACHER\n",
      "Line 2143: REDD\n",
      "Line 2144: DOBBS\n",
      "Line 2145: BLUM\n",
      "Line 2146: BLALOCK\n",
      "Line 2147: MERCHANT\n",
      "Line 2148: ENNIS\n",
      "Line 2149: DENSON\n",
      "Line 2150: COTTRELL\n",
      "Line 2151: CHESTER\n",
      "Line 2152: BRANNON\n",
      "Line 2153: BAGLEY\n",
      "Line 2154: AVILES\n",
      "Line 2155: WATT\n",
      "Line 2156: SOUSA\n",
      "Line 2157: ROSENTHAL\n",
      "Line 2158: ROONEY\n",
      "Line 2159: DIETZ\n",
      "Line 2160: BLANK\n",
      "Line 2161: PAQUETTE\n",
      "Line 2162: MCCLELLAND\n",
      "Line 2163: DUFF\n",
      "Line 2164: VELASCO\n",
      "Line 2165: LENTZ\n",
      "Line 2166: GRUBB\n",
      "Line 2167: BURROWS\n",
      "Line 2168: BARBOUR\n",
      "Line 2169: ULRICH\n",
      "Line 2170: SHOCKLEY\n",
      "Line 2171: RADER\n",
      "Line 2172: GERMAN\n",
      "Line 2173: BEYER\n",
      "Line 2174: MIXON\n",
      "Line 2175: LAYTON\n",
      "Line 2176: ALTMAN\n",
      "Line 2177: ALONZO\n",
      "Line 2178: WEATHERS\n",
      "Line 2179: TITUS\n",
      "Line 2180: STONER\n",
      "Line 2181: SQUIRES\n",
      "Line 2182: SHIPP\n",
      "Line 2183: PRIEST\n",
      "Line 2184: LIPSCOMB\n",
      "Line 2185: CUTLER\n",
      "Line 2186: CABALLERO\n",
      "Line 2187: ZIMMER\n",
      "Line 2188: WILLETT\n",
      "Line 2189: THURSTON\n",
      "Line 2190: STOREY\n",
      "Line 2191: MEDLEY\n",
      "Line 2192: LYLE\n",
      "Line 2193: EPPERSON\n",
      "Line 2194: SHAH\n",
      "Line 2195: MCMILLIAN\n",
      "Line 2196: BAGGETT\n",
      "Line 2197: TORREZ\n",
      "Line 2198: LAWS\n",
      "Line 2199: HIRSCH\n",
      "Line 2200: DENT\n",
      "Line 2201: COREY\n",
      "Line 2202: POIRIER\n",
      "Line 2203: PEACHEY\n",
      "Line 2204: JACQUES\n",
      "Line 2205: FARRAR\n",
      "Line 2206: CREECH\n",
      "Line 2207: BARTH\n",
      "Line 2208: TRIMBLE\n",
      "Line 2209: FRANCE\n",
      "Line 2210: DUPRE\n",
      "Line 2211: ALBRECHT\n",
      "Line 2212: SAMPLE\n",
      "Line 2213: LAWLER\n",
      "Line 2214: CRISP\n",
      "Line 2215: CONROY\n",
      "Line 2216: CHADWICK\n",
      "Line 2217: WETZEL\n",
      "Line 2218: NESBITT\n",
      "Line 2219: MURRY\n",
      "Line 2220: JAMESON\n",
      "Line 2221: WILHELM\n",
      "Line 2222: PATTEN\n",
      "Line 2223: MINTON\n",
      "Line 2224: MATSON\n",
      "Line 2225: KIMBROUGH\n",
      "Line 2226: IVERSON\n",
      "Line 2227: GUINN\n",
      "Line 2228: GALE\n",
      "Line 2229: FORTUNE\n",
      "Line 2230: CROFT\n",
      "Line 2231: TOTH\n",
      "Line 2232: PULLIAM\n",
      "Line 2233: NUGENT\n",
      "Line 2234: NEWBY\n",
      "Line 2235: LITTLEJOHN\n",
      "Line 2236: DIAS\n",
      "Line 2237: CANALES\n",
      "Line 2238: BERNIER\n",
      "Line 2239: BARON\n",
      "Line 2240: BARNEY\n",
      "Line 2241: SINGLETARY\n",
      "Line 2242: RENTERIA\n",
      "Line 2243: PRUETT\n",
      "Line 2244: MCHUGH\n",
      "Line 2245: MABRY\n",
      "Line 2246: LANDRUM\n",
      "Line 2247: BROWER\n",
      "Line 2248: WELDON\n",
      "Line 2249: STODDARD\n",
      "Line 2250: RUTH\n",
      "Line 2251: CAGLE\n",
      "Line 2252: STJOHN\n",
      "Line 2253: SCALES\n",
      "Line 2254: KOHLER\n",
      "Line 2255: KELLOGG\n",
      "Line 2256: HOPSON\n",
      "Line 2257: GANT\n",
      "Line 2258: THARP\n",
      "Line 2259: GANN\n",
      "Line 2260: ZEIGLER\n",
      "Line 2261: PRINGLE\n",
      "Line 2262: HAMMONS\n",
      "Line 2263: FAIRCHILD\n",
      "Line 2264: DEATON\n",
      "Line 2265: CHAVIS\n",
      "Line 2266: CARNES\n",
      "Line 2267: ROWLEY\n",
      "Line 2268: MATLOCK\n",
      "Line 2269: LIBBY\n",
      "Line 2270: KEARNS\n",
      "Line 2271: IRIZARRY\n",
      "Line 2272: CARRINGTON\n",
      "Line 2273: STARKEY\n",
      "Line 2274: PEPPER\n",
      "Line 2275: LOPES\n",
      "Line 2276: JARRELL\n",
      "Line 2277: FAY\n",
      "Line 2278: CRAVEN\n",
      "Line 2279: BEVERLY\n",
      "Line 2280: BAUM\n",
      "Line 2281: SPAIN\n",
      "Line 2282: LITTLEFIELD\n",
      "Line 2283: LINN\n",
      "Line 2284: HUMPHREYS\n",
      "Line 2285: HOOK\n",
      "Line 2286: HIGH\n",
      "Line 2287: ETHERIDGE\n",
      "Line 2288: CUELLAR\n",
      "Line 2289: CHASTAIN\n",
      "Line 2290: CHANCE\n",
      "Line 2291: BUNDY\n",
      "Line 2292: SPEER\n",
      "Line 2293: SKELTON\n",
      "Line 2294: QUIROZ\n",
      "Line 2295: PYLE\n",
      "Line 2296: PORTILLO\n",
      "Line 2297: PONDER\n",
      "Line 2298: MOULTON\n",
      "Line 2299: MACHADO\n",
      "Line 2300: LIU\n",
      "Line 2301: KILLIAN\n",
      "Line 2302: HUTSON\n",
      "Line 2303: HITCHCOCK\n",
      "Line 2304: ELLSWORTH\n",
      "Line 2305: DOWLING\n",
      "Line 2306: CLOUD\n",
      "Line 2307: BURDICK\n",
      "Line 2308: SPANN\n",
      "Line 2309: PEDERSEN\n",
      "Line 2310: LEVIN\n",
      "Line 2311: LEGGETT\n",
      "Line 2312: HAYWARD\n",
      "Line 2313: HACKER\n",
      "Line 2314: DIETRICH\n",
      "Line 2315: BEAULIEU\n",
      "Line 2316: BARKSDALE\n",
      "Line 2317: WAKEFIELD\n",
      "Line 2318: SNOWDEN\n",
      "Line 2319: PARIS\n",
      "Line 2320: BRISCOE\n",
      "Line 2321: BOWIE\n",
      "Line 2322: BERMAN\n",
      "Line 2323: OGLE\n",
      "Line 2324: MCGREGOR\n",
      "Line 2325: LAUGHLIN\n",
      "Line 2326: HELM\n",
      "Line 2327: BURDEN\n",
      "Line 2328: WHEATLEY\n",
      "Line 2329: SCHREIBER\n",
      "Line 2330: PRESSLEY\n",
      "Line 2331: PARRIS\n",
      "Line 2332: NG\n",
      "Line 2333: ALANIZ\n",
      "Line 2334: AGEE\n",
      "Line 2335: URBAN\n",
      "Line 2336: SWANN\n",
      "Line 2337: SNODGRASS\n",
      "Line 2338: SCHUSTER\n",
      "Line 2339: RADFORD\n",
      "Line 2340: MONK\n",
      "Line 2341: MATTINGLY\n",
      "Line 2342: MAIN\n",
      "Line 2343: LAMAR\n",
      "Line 2344: HARP\n",
      "Line 2345: GIRARD\n",
      "Line 2346: CHENEY\n",
      "Line 2347: YANCEY\n",
      "Line 2348: WAGONER\n",
      "Line 2349: RIDLEY\n",
      "Line 2350: LOMBARDO\n",
      "Line 2351: LAU\n",
      "Line 2352: HUDGINS\n",
      "Line 2353: GASKINS\n",
      "Line 2354: DUCKWORTH\n",
      "Line 2355: COE\n",
      "Line 2356: COBURN\n",
      "Line 2357: WILLEY\n",
      "Line 2358: PRADO\n",
      "Line 2359: NEWBERRY\n",
      "Line 2360: MAGANA\n",
      "Line 2361: HAMMONDS\n",
      "Line 2362: ELAM\n",
      "Line 2363: WHIPPLE\n",
      "Line 2364: SLADE\n",
      "Line 2365: SERNA\n",
      "Line 2366: OJEDA\n",
      "Line 2367: LILES\n",
      "Line 2368: DORMAN\n",
      "Line 2369: DIEHL\n",
      "Line 2370: ANGEL\n",
      "Line 2371: UPTON\n",
      "Line 2372: REARDON\n",
      "Line 2373: MICHAELS\n",
      "Line 2374: KELSEY\n",
      "Line 2375: GOETZ\n",
      "Line 2376: ELLER\n",
      "Line 2377: BAUMAN\n",
      "Line 2378: BAER\n",
      "Line 2379: AUGUSTINE\n",
      "Line 2380: LAYNE\n",
      "Line 2381: HUMMEL\n",
      "Line 2382: BRENNER\n",
      "Line 2383: AMAYA\n",
      "Line 2384: ADAMSON\n",
      "Line 2385: ORNELAS\n",
      "Line 2386: DOWELL\n",
      "Line 2387: CLOUTIER\n",
      "Line 2388: CHRISTY\n",
      "Line 2389: CASTELLANOS\n",
      "Line 2390: WING\n",
      "Line 2391: WELLMAN\n",
      "Line 2392: SAYLOR\n",
      "Line 2393: OROURKE\n",
      "Line 2394: MOYA\n",
      "Line 2395: MONTALVO\n",
      "Line 2396: KILPATRICK\n",
      "Line 2397: HARLEY\n",
      "Line 2398: DURBIN\n",
      "Line 2399: SHELL\n",
      "Line 2400: OLDHAM\n",
      "Line 2401: KANG\n",
      "Line 2402: GARVIN\n",
      "Line 2403: FOSS\n",
      "Line 2404: BRANHAM\n",
      "Line 2405: BARTHOLOMEW\n",
      "Line 2406: TEMPLETON\n",
      "Line 2407: MAGUIRE\n",
      "Line 2408: HOLTON\n",
      "Line 2409: ALONSO\n",
      "Line 2410: RIDER\n",
      "Line 2411: MONAHAN\n",
      "Line 2412: MCCORMACK\n",
      "Line 2413: BEATY\n",
      "Line 2414: ANDERS\n",
      "Line 2415: STREETER\n",
      "Line 2416: NIETO\n",
      "Line 2417: NIELSON\n",
      "Line 2418: MOFFETT\n",
      "Line 2419: LANKFORD\n",
      "Line 2420: KEATING\n",
      "Line 2421: HECK\n",
      "Line 2422: GATLIN\n",
      "Line 2423: DELATORRE\n",
      "Line 2424: CALLAWAY\n",
      "Line 2425: ADCOCK\n",
      "Line 2426: WORRELL\n",
      "Line 2427: UNGER\n",
      "Line 2428: ROBINETTE\n",
      "Line 2429: NOWAK\n",
      "Line 2430: JETER\n",
      "Line 2431: BRUNNER\n",
      "Line 2432: ASHTON\n",
      "Line 2433: STEEN\n",
      "Line 2434: PARROTT\n",
      "Line 2435: OVERSTREET\n",
      "Line 2436: NOBLES\n",
      "Line 2437: MONTANEZ\n",
      "Line 2438: LUTHER\n",
      "Line 2439: CLEVENGER\n",
      "Line 2440: BRINKLEY\n",
      "Line 2441: TRAHAN\n",
      "Line 2442: QUARLES\n",
      "Line 2443: PICKERING\n",
      "Line 2444: PEDERSON\n",
      "Line 2445: JANSEN\n",
      "Line 2446: GRANTHAM\n",
      "Line 2447: GILCHRIST\n",
      "Line 2448: CRESPO\n",
      "Line 2449: AIKEN\n",
      "Line 2450: SCHELL\n",
      "Line 2451: SCHAEFFER\n",
      "Line 2452: LORENZ\n",
      "Line 2453: LEYVA\n",
      "Line 2454: HARMS\n",
      "Line 2455: DYSON\n",
      "Line 2456: WALLIS\n",
      "Line 2457: PEASE\n",
      "Line 2458: LEAVITT\n",
      "Line 2459: HYMAN\n",
      "Line 2460: CHENG\n",
      "Line 2461: CAVANAUGH\n",
      "Line 2462: BATTS\n",
      "Line 2463: WARDEN\n",
      "Line 2464: SEAMAN\n",
      "Line 2465: ROCKWELL\n",
      "Line 2466: QUEZADA\n",
      "Line 2467: PAXTON\n",
      "Line 2468: LINDER\n",
      "Line 2469: HOUCK\n",
      "Line 2470: FONTAINE\n",
      "Line 2471: DURANT\n",
      "Line 2472: CARUSO\n",
      "Line 2473: ADLER\n",
      "Line 2474: PIMENTEL\n",
      "Line 2475: MIZE\n",
      "Line 2476: LYTLE\n",
      "Line 2477: DONALD\n",
      "Line 2478: CLEARY\n",
      "Line 2479: CASON\n",
      "Line 2480: ACKER\n",
      "Line 2481: SWITZER\n",
      "Line 2482: SALMON\n",
      "Line 2483: ISAACS\n",
      "Line 2484: HIGGINBOTHAM\n",
      "Line 2485: HAN\n",
      "Line 2486: WATERMAN\n",
      "Line 2487: VANDYKE\n",
      "Line 2488: STAMPER\n",
      "Line 2489: SISK\n",
      "Line 2490: SHULER\n",
      "Line 2491: RIDDICK\n",
      "Line 2492: REDMAN\n",
      "Line 2493: MCMAHAN\n",
      "Line 2494: LEVESQUE\n",
      "Line 2495: HATTON\n",
      "Line 2496: BRONSON\n",
      "Line 2497: BOLLINGER\n",
      "Line 2498: ARNETT\n",
      "Line 2499: OKEEFE\n",
      "Line 2500: GERBER\n",
      "Line 2501: GANNON\n",
      "Line 2502: FARNSWORTH\n",
      "Line 2503: BAUGHMAN\n",
      "Line 2504: SILVERMAN\n",
      "Line 2505: SATTERFIELD\n",
      "Line 2506: ROYAL\n",
      "Line 2507: MCCRARY\n",
      "Line 2508: KOWALSKI\n",
      "Line 2509: JOY\n",
      "Line 2510: GRIGSBY\n",
      "Line 2511: GRECO\n",
      "Line 2512: CABRAL\n",
      "Line 2513: TROUT\n",
      "Line 2514: RINEHART\n",
      "Line 2515: MAHON\n",
      "Line 2516: LINTON\n",
      "Line 2517: GOODEN\n",
      "Line 2518: CURLEY\n",
      "Line 2519: BAUGH\n",
      "Line 2520: WYMAN\n",
      "Line 2521: WEINER\n",
      "Line 2522: SCHWAB\n",
      "Line 2523: SCHULER\n",
      "Line 2524: MORRISSEY\n",
      "Line 2525: MAHAN\n",
      "Line 2526: COY\n",
      "Line 2527: BUNN\n",
      "Line 2528: ANDREW\n",
      "Line 2529: THRASHER\n",
      "Line 2530: SPEAR\n",
      "Line 2531: WAGGONER\n",
      "Line 2532: SHELLEY\n",
      "Line 2533: ROBERT\n",
      "Line 2534: QUALLS\n",
      "Line 2535: PURDY\n",
      "Line 2536: MCWHORTER\n",
      "Line 2537: MAULDIN\n",
      "Line 2538: MARK\n",
      "Line 2539: JORDON\n",
      "Line 2540: GILMAN\n",
      "Line 2541: PERRYMAN\n",
      "Line 2542: NEWSOM\n",
      "Line 2543: MENARD\n",
      "Line 2544: MARTINO\n",
      "Line 2545: GRAF\n",
      "Line 2546: BILLINGSLEY\n",
      "Line 2547: ARTIS\n",
      "Line 2548: SIMPKINS\n",
      "Line 2549: SALISBURY\n",
      "Line 2550: QUINTANILLA\n",
      "Line 2551: GILLILAND\n",
      "Line 2552: FRALEY\n",
      "Line 2553: FOUST\n",
      "Line 2554: CROUSE\n",
      "Line 2555: SCARBOROUGH\n",
      "Line 2556: NGO\n",
      "Line 2557: GRISSOM\n",
      "Line 2558: FULTZ\n",
      "Line 2559: RICO\n",
      "Line 2560: MARLOW\n",
      "Line 2561: MARKHAM\n",
      "Line 2562: MADRIGAL\n",
      "Line 2563: LAWTON\n",
      "Line 2564: BARFIELD\n",
      "Line 2565: WHITING\n",
      "Line 2566: VARNEY\n",
      "Line 2567: SCHWARZ\n",
      "Line 2568: HUEY\n",
      "Line 2569: GOOCH\n",
      "Line 2570: ARCE\n",
      "Line 2571: WHEAT\n",
      "Line 2572: TRUONG\n",
      "Line 2573: POULIN\n",
      "Line 2574: MACKENZIE\n",
      "Line 2575: LEONE\n",
      "Line 2576: HURTADO\n",
      "Line 2577: SELBY\n",
      "Line 2578: GAITHER\n",
      "Line 2579: FORTNER\n",
      "Line 2580: CULPEPPER\n",
      "Line 2581: COUGHLIN\n",
      "Line 2582: BRINSON\n",
      "Line 2583: BOUDREAU\n",
      "Line 2584: BARKLEY\n",
      "Line 2585: BALES\n",
      "Line 2586: STEPP\n",
      "Line 2587: HOLM\n",
      "Line 2588: TAN\n",
      "Line 2589: SCHILLING\n",
      "Line 2590: MORRELL\n",
      "Line 2591: KAHN\n",
      "Line 2592: HEATON\n",
      "Line 2593: GAMEZ\n",
      "Line 2594: DOUGLASS\n",
      "Line 2595: CAUSEY\n",
      "Line 2596: BROTHERS\n",
      "Line 2597: TURPIN\n",
      "Line 2598: SHANKS\n",
      "Line 2599: SCHRADER\n",
      "Line 2600: MEEK\n",
      "Line 2601: ISOM\n",
      "Line 2602: HARDISON\n",
      "Line 2603: CARRANZA\n",
      "Line 2604: YANEZ\n",
      "Line 2605: WAY\n",
      "Line 2606: SCROGGINS\n",
      "Line 2607: SCHOFIELD\n",
      "Line 2608: RUNYON\n",
      "Line 2609: RATCLIFF\n",
      "Line 2610: MURRELL\n",
      "Line 2611: MOELLER\n",
      "Line 2612: IRBY\n",
      "Line 2613: CURRIER\n",
      "Line 2614: BUTTERFIELD\n",
      "Line 2615: YEE\n",
      "Line 2616: RALSTON\n",
      "Line 2617: PULLEN\n",
      "Line 2618: PINSON\n",
      "Line 2619: ESTEP\n",
      "Line 2620: EAST\n",
      "Line 2621: CARBONE\n",
      "Line 2622: LANCE\n",
      "Line 2623: HAWKS\n",
      "Line 2624: ELLINGTON\n",
      "Line 2625: CASILLAS\n",
      "Line 2626: SPURLOCK\n",
      "Line 2627: SIKES\n",
      "Line 2628: MOTLEY\n",
      "Line 2629: MCCARTNEY\n",
      "Line 2630: KRUGER\n",
      "Line 2631: ISBELL\n",
      "Line 2632: HOULE\n",
      "Line 2633: FRANCISCO\n",
      "Line 2634: BURK\n",
      "Line 2635: BONE\n",
      "Line 2636: TOMLIN\n",
      "Line 2637: SHELBY\n",
      "Line 2638: QUIGLEY\n",
      "Line 2639: NEUMANN\n",
      "Line 2640: LOVELACE\n",
      "Line 2641: FENNELL\n",
      "Line 2642: COLBY\n",
      "Line 2643: CHEATHAM\n",
      "Line 2644: BUSTAMANTE\n",
      "Line 2645: SKIDMORE\n",
      "Line 2646: HIDALGO\n",
      "Line 2647: FORMAN\n",
      "Line 2648: CULP\n",
      "Line 2649: BOWENS\n",
      "Line 2650: BETANCOURT\n",
      "Line 2651: AQUINO\n",
      "Line 2652: ROBB\n",
      "Line 2653: REA\n",
      "Line 2654: MILNER\n",
      "Line 2655: MARTEL\n",
      "Line 2656: GRESHAM\n",
      "Line 2657: WILES\n",
      "Line 2658: RICKETTS\n",
      "Line 2659: GAVIN\n",
      "Line 2660: DOWD\n",
      "Line 2661: COLLAZO\n",
      "Line 2662: BOSTIC\n",
      "Line 2663: BLAKELY\n",
      "Line 2664: SHERROD\n",
      "Line 2665: POWER\n",
      "Line 2666: KENYON\n",
      "Line 2667: GANDY\n",
      "Line 2668: EBERT\n",
      "Line 2669: DELOACH\n",
      "Line 2670: CARY\n",
      "Line 2671: BULL\n",
      "Line 2672: ALLARD\n",
      "Line 2673: SAUER\n",
      "Line 2674: ROBINS\n",
      "Line 2675: OLIVARES\n",
      "Line 2676: GILLETTE\n",
      "Line 2677: CHESTNUT\n",
      "Line 2678: BOURQUE\n",
      "Line 2679: PAINE\n",
      "Line 2680: LYMAN\n",
      "Line 2681: HITE\n",
      "Line 2682: HAUSER\n",
      "Line 2683: DEVORE\n",
      "Line 2684: CRAWLEY\n",
      "Line 2685: CHAPA\n",
      "Line 2686: VU\n",
      "Line 2687: TOBIAS\n",
      "Line 2688: TALBERT\n",
      "Line 2689: POINDEXTER\n",
      "Line 2690: MILLARD\n",
      "Line 2691: MEADOR\n",
      "Line 2692: MCDUFFIE\n",
      "Line 2693: MATTOX\n",
      "Line 2694: KRAUS\n",
      "Line 2695: HARKINS\n",
      "Line 2696: CHOATE\n",
      "Line 2697: BESS\n",
      "Line 2698: WREN\n",
      "Line 2699: SLEDGE\n",
      "Line 2700: SANBORN\n",
      "Line 2701: OUTLAW\n",
      "Line 2702: KINDER\n",
      "Line 2703: GEARY\n",
      "Line 2704: CORNWELL\n",
      "Line 2705: BARCLAY\n",
      "Line 2706: ADAM\n",
      "Line 2707: ABNEY\n",
      "Line 2708: SEWARD\n",
      "Line 2709: RHOADS\n",
      "Line 2710: HOWLAND\n",
      "Line 2711: FORTIER\n",
      "Line 2712: EASTER\n",
      "Line 2713: BENNER\n",
      "Line 2714: VINES\n",
      "Line 2715: TUBBS\n",
      "Line 2716: TROUTMAN\n",
      "Line 2717: RAPP\n",
      "Line 2718: NOE\n",
      "Line 2719: MCCURDY\n",
      "Line 2720: HARDER\n",
      "Line 2721: DELUCA\n",
      "Line 2722: WESTMORELAND\n",
      "Line 2723: SOUTH\n",
      "Line 2724: HAVENS\n",
      "Line 2725: GUAJARDO\n",
      "Line 2726: ELY\n",
      "Line 2727: CLARY\n",
      "Line 2728: SEAL\n",
      "Line 2729: MEEHAN\n",
      "Line 2730: HERZOG\n",
      "Line 2731: GUILLEN\n",
      "Line 2732: ASHCRAFT\n",
      "Line 2733: WAUGH\n",
      "Line 2734: RENNER\n",
      "Line 2735: MILAM\n",
      "Line 2736: JUNG\n",
      "Line 2737: ELROD\n",
      "Line 2738: CHURCHILL\n",
      "Line 2739: BUFORD\n",
      "Line 2740: BREAUX\n",
      "Line 2741: BOLIN\n",
      "Line 2742: ASHER\n",
      "Line 2743: WINDHAM\n",
      "Line 2744: TIRADO\n",
      "Line 2745: PEMBERTON\n",
      "Line 2746: NOLEN\n",
      "Line 2747: NOLAND\n",
      "Line 2748: KNOTT\n",
      "Line 2749: EMMONS\n",
      "Line 2750: CORNISH\n",
      "Line 2751: CHRISTENSON\n",
      "Line 2752: BROWNLEE\n",
      "Line 2753: BARBEE\n",
      "Line 2754: WALDROP\n",
      "Line 2755: PITT\n",
      "Line 2756: OLVERA\n",
      "Line 2757: LOMBARDI\n",
      "Line 2758: GRUBER\n",
      "Line 2759: GAFFNEY\n",
      "Line 2760: EGGLESTON\n",
      "Line 2761: BANDA\n",
      "Line 2762: ARCHULETA\n",
      "Line 2763: STILL\n",
      "Line 2764: SLONE\n",
      "Line 2765: PREWITT\n",
      "Line 2766: PFEIFFER\n",
      "Line 2767: NETTLES\n",
      "Line 2768: MENA\n",
      "Line 2769: MCADAMS\n",
      "Line 2770: HENNING\n",
      "Line 2771: GARDINER\n",
      "Line 2772: CROMWELL\n",
      "Line 2773: CHISHOLM\n",
      "Line 2774: BURLESON\n",
      "Line 2775: BOX\n",
      "Line 2776: VEST\n",
      "Line 2777: OGLESBY\n",
      "Line 2778: MCCARTER\n",
      "Line 2779: MALCOLM\n",
      "Line 2780: LUMPKIN\n",
      "Line 2781: LARUE\n",
      "Line 2782: GREY\n",
      "Line 2783: WOFFORD\n",
      "Line 2784: VANHORN\n",
      "Line 2785: THORN\n",
      "Line 2786: TEEL\n",
      "Line 2787: SWAFFORD\n",
      "Line 2788: STCLAIR\n",
      "Line 2789: STANFIELD\n",
      "Line 2790: OCAMPO\n",
      "Line 2791: HERRMANN\n",
      "Line 2792: HANNON\n",
      "Line 2793: ARSENAULT\n",
      "Line 2794: ROUSH\n",
      "Line 2795: MCALISTER\n",
      "Line 2796: HIATT\n",
      "Line 2797: GUNDERSON\n",
      "Line 2798: FORSYTHE\n",
      "Line 2799: DUGGAN\n",
      "Line 2800: DELVALLE\n",
      "Line 2801: CINTRON\n",
      "Line 2802: WILKS\n",
      "Line 2803: WEINSTEIN\n",
      "Line 2804: URIBE\n",
      "Line 2805: RIZZO\n",
      "Line 2806: NOYES\n",
      "Line 2807: MCLENDON\n",
      "Line 2808: GURLEY\n",
      "Line 2809: BETHEA\n",
      "Line 2810: WINSTEAD\n",
      "Line 2811: MAPLES\n",
      "Line 2812: HARRY\n",
      "Line 2813: GUYTON\n",
      "Line 2814: GIORDANO\n",
      "Line 2815: ALDERMAN\n",
      "Line 2816: VALDES\n",
      "Line 2817: POLANCO\n",
      "Line 2818: PAPPAS\n",
      "Line 2819: LIVELY\n",
      "Line 2820: GROGAN\n",
      "Line 2821: GRIFFITHS\n",
      "Line 2822: BOBO\n",
      "Line 2823: AREVALO\n",
      "Line 2824: WHITSON\n",
      "Line 2825: SOWELL\n",
      "Line 2826: RENDON\n",
      "Line 2827: MATTHEW\n",
      "Line 2828: JULIAN\n",
      "Line 2829: FERNANDES\n",
      "Line 2830: FARROW\n",
      "Line 2831: EDMOND\n",
      "Line 2832: BENAVIDEZ\n",
      "Line 2833: AYRES\n",
      "Line 2834: ALICEA\n",
      "Line 2835: STUMP\n",
      "Line 2836: SMALLEY\n",
      "Line 2837: SEITZ\n",
      "Line 2838: SCHULTE\n",
      "Line 2839: GILLEY\n",
      "Line 2840: GALLANT\n",
      "Line 2841: DEWEY\n",
      "Line 2842: CASPER\n",
      "Line 2843: CANFIELD\n",
      "Line 2844: WOLFORD\n",
      "Line 2845: OMALLEY\n",
      "Line 2846: MCNUTT\n",
      "Line 2847: MCNULTY\n",
      "Line 2848: MCGOVERN\n",
      "Line 2849: HARDMAN\n",
      "Line 2850: HARBIN\n",
      "Line 2851: COWART\n",
      "Line 2852: CHAVARRIA\n",
      "Line 2853: BRINK\n",
      "Line 2854: BECKETT\n",
      "Line 2855: BAGWELL\n",
      "Line 2856: ARMSTEAD\n",
      "Line 2857: ANGLIN\n",
      "Line 2858: ABREU\n",
      "Line 2859: REYNOSO\n",
      "Line 2860: KREBS\n",
      "Line 2861: JETT\n",
      "Line 2862: HOFFMANN\n",
      "Line 2863: GREENFIELD\n",
      "Line 2864: FORTE\n",
      "Line 2865: BURNEY\n",
      "Line 2866: BROOME\n",
      "Line 2867: SISSON\n",
      "Line 2868: PARENT\n",
      "Line 2869: JUDE\n",
      "Line 2870: YOUNGER\n",
      "Line 2871: TRAMMELL\n",
      "Line 2872: PARTRIDGE\n",
      "Line 2873: MARVIN\n",
      "Line 2874: MACE\n",
      "Line 2875: LOMAX\n",
      "Line 2876: LEMIEUX\n",
      "Line 2877: GOSSETT\n",
      "Line 2878: FRANTZ\n",
      "Line 2879: FOGLE\n",
      "Line 2880: COONEY\n",
      "Line 2881: BROUGHTON\n",
      "Line 2882: PENCE\n",
      "Line 2883: PAULSEN\n",
      "Line 2884: NEIL\n",
      "Line 2885: MUNCY\n",
      "Line 2886: MCARTHUR\n",
      "Line 2887: HOLLINS\n",
      "Line 2888: EDWARD\n",
      "Line 2889: BEAUCHAMP\n",
      "Line 2890: WITHERS\n",
      "Line 2891: OSORIO\n",
      "Line 2892: MULLIGAN\n",
      "Line 2893: HOYLE\n",
      "Line 2894: FOY\n",
      "Line 2895: DOCKERY\n",
      "Line 2896: COCKRELL\n",
      "Line 2897: BEGLEY\n",
      "Line 2898: AMADOR\n",
      "Line 2899: ROBY\n",
      "Line 2900: RAINS\n",
      "Line 2901: LINDQUIST\n",
      "Line 2902: GENTILE\n",
      "Line 2903: EVERHART\n",
      "Line 2904: BOHANNON\n",
      "Line 2905: WYLIE\n",
      "Line 2906: THAO\n",
      "Line 2907: SOMMERS\n",
      "Line 2908: PURNELL\n",
      "Line 2909: PALMA\n",
      "Line 2910: FORTIN\n",
      "Line 2911: DUNNING\n",
      "Line 2912: BREEDEN\n",
      "Line 2913: VAIL\n",
      "Line 2914: PHELAN\n",
      "Line 2915: PHAN\n",
      "Line 2916: MARX\n",
      "Line 2917: COSBY\n",
      "Line 2918: COLBURN\n",
      "Line 2919: CHONG\n",
      "Line 2920: BOLING\n",
      "Line 2921: BIDDLE\n",
      "Line 2922: LEDESMA\n",
      "Line 2923: GADDIS\n",
      "Line 2924: DENNEY\n",
      "Line 2925: CHOW\n",
      "Line 2926: BUENO\n",
      "Line 2927: BERRIOS\n",
      "Line 2928: WICKER\n",
      "Line 2929: TOLLIVER\n",
      "Line 2930: THIBODEAUX\n",
      "Line 2931: NAGLE\n",
      "Line 2932: LAVOIE\n",
      "Line 2933: FISK\n",
      "Line 2934: DO\n",
      "Line 2935: CRIST\n",
      "Line 2936: BARBOSA\n",
      "Line 2937: REEDY\n",
      "Line 2938: MARCH\n",
      "Line 2939: LOCKLEAR\n",
      "Line 2940: KOLB\n",
      "Line 2941: HIMES\n",
      "Line 2942: BEHRENS\n",
      "Line 2943: BECKWITH\n",
      "Line 2944: BECKHAM\n",
      "Line 2945: WEEMS\n",
      "Line 2946: WAHL\n",
      "Line 2947: SHORTER\n",
      "Line 2948: SHACKELFORD\n",
      "Line 2949: REES\n",
      "Line 2950: MUSE\n",
      "Line 2951: FREE\n",
      "Line 2952: CERDA\n",
      "Line 2953: VALADEZ\n",
      "Line 2954: THIBODEAU\n",
      "Line 2955: SAAVEDRA\n",
      "Line 2956: RIDGEWAY\n",
      "Line 2957: REITER\n",
      "Line 2958: MCHENRY\n",
      "Line 2959: MAJORS\n",
      "Line 2960: LACHANCE\n",
      "Line 2961: KEATON\n",
      "Line 2962: ISRAEL\n",
      "Line 2963: FERRARA\n",
      "Line 2964: FALCON\n",
      "Line 2965: CLEMENS\n",
      "Line 2966: BLOCKER\n",
      "Line 2967: APPLEGATE\n",
      "Line 2968: PAZ\n",
      "Line 2969: NEEDHAM\n",
      "Line 2970: MOJICA\n",
      "Line 2971: KUYKENDALL\n",
      "Line 2972: HAMEL\n",
      "Line 2973: ESCAMILLA\n",
      "Line 2974: DOUGHTY\n",
      "Line 2975: BURCHETT\n",
      "Line 2976: AINSWORTH\n",
      "Line 2977: WILBUR\n",
      "Line 2978: VIDAL\n",
      "Line 2979: UPCHURCH\n",
      "Line 2980: THIGPEN\n",
      "Line 2981: STRAUSS\n",
      "Line 2982: SPRUILL\n",
      "Line 2983: SOWERS\n",
      "Line 2984: RIGGINS\n",
      "Line 2985: RICKER\n",
      "Line 2986: MCCOMBS\n",
      "Line 2987: HARLOW\n",
      "Line 2988: GARNETT\n",
      "Line 2989: BUFFINGTON\n",
      "Line 2990: YI\n",
      "Line 2991: SOTELO\n",
      "Line 2992: OLIVAS\n",
      "Line 2993: NEGRETE\n",
      "Line 2994: MOREY\n",
      "Line 2995: MACON\n",
      "Line 2996: LOGSDON\n",
      "Line 2997: LAPOINTE\n",
      "Line 2998: FLORENCE\n",
      "Line 2999: CATHEY\n",
      "Line 3000: BIGELOW\n",
      "Line 3001: BELLO\n",
      "Line 3002: WESTFALL\n",
      "Line 3003: STUBBLEFIELD\n",
      "Line 3004: PEAK\n",
      "Line 3005: LINDLEY\n",
      "Line 3006: JEFFREY\n",
      "Line 3007: HEIN\n",
      "Line 3008: HAWES\n",
      "Line 3009: FARRINGTON\n",
      "Line 3010: EDGE\n",
      "Line 3011: BREEN\n",
      "Line 3012: BIRCH\n",
      "Line 3013: WILDE\n",
      "Line 3014: STEED\n",
      "Line 3015: SEPULVEDA\n",
      "Line 3016: REINHARDT\n",
      "Line 3017: PROFFITT\n",
      "Line 3018: MINTER\n",
      "Line 3019: MESSINA\n",
      "Line 3020: MCNABB\n",
      "Line 3021: MAIER\n",
      "Line 3022: KEELER\n",
      "Line 3023: GAMBOA\n",
      "Line 3024: DONOHUE\n",
      "Line 3025: DEXTER\n",
      "Line 3026: BASHAM\n",
      "Line 3027: SHINN\n",
      "Line 3028: ORLANDO\n",
      "Line 3029: CROOKS\n",
      "Line 3030: COTA\n",
      "Line 3031: BORDERS\n",
      "Line 3032: BILLS\n",
      "Line 3033: BACHMAN\n",
      "Line 3034: TISDALE\n",
      "Line 3035: TAVARES\n",
      "Line 3036: SCHMID\n",
      "Line 3037: PICKARD\n",
      "Line 3038: JASPER\n",
      "Line 3039: GULLEY\n",
      "Line 3040: FONSECA\n",
      "Line 3041: DELOSSANTOS\n",
      "Line 3042: CONDON\n",
      "Line 3043: CLANCY\n",
      "Line 3044: BATISTA\n",
      "Line 3045: WICKS\n",
      "Line 3046: WADSWORTH\n",
      "Line 3047: NEW\n",
      "Line 3048: MARTELL\n",
      "Line 3049: LO\n",
      "Line 3050: LITTLETON\n",
      "Line 3051: ISON\n",
      "Line 3052: HAAG\n",
      "Line 3053: FOLSOM\n",
      "Line 3054: BRUMFIELD\n",
      "Line 3055: BROYLES\n",
      "Line 3056: BRITO\n",
      "Line 3057: MIRELES\n",
      "Line 3058: MCDONNELL\n",
      "Line 3059: LECLAIR\n",
      "Line 3060: HAMBLIN\n",
      "Line 3061: GOUGH\n",
      "Line 3062: FANNING\n",
      "Line 3063: BINDER\n",
      "Line 3064: WINFIELD\n",
      "Line 3065: WHITWORTH\n",
      "Line 3066: SORIANO\n",
      "Line 3067: PALUMBO\n",
      "Line 3068: NEWKIRK\n",
      "Line 3069: MANGUM\n",
      "Line 3070: HUTCHERSON\n",
      "Line 3071: COMSTOCK\n",
      "Line 3072: CECIL\n",
      "Line 3073: CARLIN\n",
      "Line 3074: BEALL\n",
      "Line 3075: BAIR\n",
      "Line 3076: WENDT\n",
      "Line 3077: WATTERS\n",
      "Line 3078: WALLING\n",
      "Line 3079: PUTMAN\n",
      "Line 3080: OTOOLE\n",
      "Line 3081: OLIVA\n",
      "Line 3082: MORLEY\n",
      "Line 3083: MARES\n",
      "Line 3084: LEMUS\n",
      "Line 3085: KEENER\n",
      "Line 3086: JEFFERY\n",
      "Line 3087: HUNDLEY\n",
      "Line 3088: DIAL\n",
      "Line 3089: DAMICO\n",
      "Line 3090: BILLUPS\n",
      "Line 3091: STROTHER\n",
      "Line 3092: MCFARLANE\n",
      "Line 3093: LAMM\n",
      "Line 3094: EAVES\n",
      "Line 3095: CRUTCHER\n",
      "Line 3096: CARABALLO\n",
      "Line 3097: CANTY\n",
      "Line 3098: ATWELL\n",
      "Line 3099: TAFT\n",
      "Line 3100: SILER\n",
      "Line 3101: RUST\n",
      "Line 3102: RAWLS\n",
      "Line 3103: RAWLINGS\n",
      "Line 3104: PRIETO\n",
      "Line 3105: NILES\n",
      "Line 3106: MCNEELY\n",
      "Line 3107: MCAFEE\n",
      "Line 3108: HULSEY\n",
      "Line 3109: HARLAN\n",
      "Line 3110: HACKNEY\n",
      "Line 3111: GALVEZ\n",
      "Line 3112: ESCALANTE\n",
      "Line 3113: DELAGARZA\n",
      "Line 3114: CRIDER\n",
      "Line 3115: CHARLTON\n",
      "Line 3116: BANDY\n",
      "Line 3117: WILBANKS\n",
      "Line 3118: STOWE\n",
      "Line 3119: STEINBERG\n",
      "Line 3120: SAMSON\n",
      "Line 3121: RENFRO\n",
      "Line 3122: MASTERSON\n",
      "Line 3123: MASSIE\n",
      "Line 3124: LANHAM\n",
      "Line 3125: HASKELL\n",
      "Line 3126: HAMRICK\n",
      "Line 3127: FORT\n",
      "Line 3128: DEHART\n",
      "Line 3129: CARD\n",
      "Line 3130: BURDETTE\n",
      "Line 3131: BRANSON\n",
      "Line 3132: BOURNE\n",
      "Line 3133: BABIN\n",
      "Line 3134: ALEMAN\n",
      "Line 3135: WORTHY\n",
      "Line 3136: TIBBS\n",
      "Line 3137: SWEAT\n",
      "Line 3138: SMOOT\n",
      "Line 3139: SLACK\n",
      "Line 3140: PARADIS\n",
      "Line 3141: PACKARD\n",
      "Line 3142: MULL\n",
      "Line 3143: LUCE\n",
      "Line 3144: HOUGHTON\n",
      "Line 3145: GANTT\n",
      "Line 3146: FURMAN\n",
      "Line 3147: DANNER\n",
      "Line 3148: CHRISTIANSON\n",
      "Line 3149: BURGE\n",
      "Line 3150: BRODERICK\n",
      "Line 3151: ASHFORD\n",
      "Line 3152: ARNDT\n",
      "Line 3153: ALMEIDA\n",
      "Line 3154: STALLWORTH\n",
      "Line 3155: SHADE\n",
      "Line 3156: SEARCY\n",
      "Line 3157: SAGER\n",
      "Line 3158: NOONAN\n",
      "Line 3159: MCLEMORE\n",
      "Line 3160: MCINTIRE\n",
      "Line 3161: MAXEY\n",
      "Line 3162: LAVIGNE\n",
      "Line 3163: JOBE\n",
      "Line 3164: IRELAND\n",
      "Line 3165: FERRER\n",
      "Line 3166: FALK\n",
      "Line 3167: EDGAR\n",
      "Line 3168: COFFIN\n",
      "Line 3169: BYRNES\n",
      "Line 3170: ARANDA\n",
      "Line 3171: APODACA\n",
      "Line 3172: STAMPS\n",
      "Line 3173: ROUNDS\n",
      "Line 3174: PEEK\n",
      "Line 3175: OLMSTEAD\n",
      "Line 3176: LEWANDOWSKI\n",
      "Line 3177: KAMINSKI\n",
      "Line 3178: HER\n",
      "Line 3179: DUNAWAY\n",
      "Line 3180: BRUNS\n",
      "Line 3181: BRACKETT\n",
      "Line 3182: AMATO\n",
      "Line 3183: REICH\n",
      "Line 3184: MCCLUNG\n",
      "Line 3185: LACROIX\n",
      "Line 3186: KOONTZ\n",
      "Line 3187: HERRICK\n",
      "Line 3188: HARDESTY\n",
      "Line 3189: FLANDERS\n",
      "Line 3190: COUSINS\n",
      "Line 3191: CLOSE\n",
      "Line 3192: CATO\n",
      "Line 3193: CADE\n",
      "Line 3194: VICKERY\n",
      "Line 3195: SHANK\n",
      "Line 3196: NAGEL\n",
      "Line 3197: DUPUIS\n",
      "Line 3198: CROTEAU\n",
      "Line 3199: COTTER\n",
      "Line 3200: CABLE\n",
      "Line 3201: STUCKEY\n",
      "Line 3202: STINE\n",
      "Line 3203: PORTERFIELD\n",
      "Line 3204: PAULEY\n",
      "Line 3205: NYE\n",
      "Line 3206: MOFFITT\n",
      "Line 3207: LU\n",
      "Line 3208: KNUDSEN\n",
      "Line 3209: HARDWICK\n",
      "Line 3210: GOFORTH\n",
      "Line 3211: DUPONT\n",
      "Line 3212: BLUNT\n",
      "Line 3213: BARROWS\n",
      "Line 3214: BARNHILL\n",
      "Line 3215: SHULL\n",
      "Line 3216: RASH\n",
      "Line 3217: RALPH\n",
      "Line 3218: PENNY\n",
      "Line 3219: LORENZO\n",
      "Line 3220: LOFTIS\n",
      "Line 3221: LEMAY\n",
      "Line 3222: KITCHENS\n",
      "Line 3223: HORVATH\n",
      "Line 3224: GRENIER\n",
      "Line 3225: FUCHS\n",
      "Line 3226: FAIRBANKS\n",
      "Line 3227: CULBERTSON\n",
      "Line 3228: CALKINS\n",
      "Line 3229: BURNSIDE\n",
      "Line 3230: BEATTIE\n",
      "Line 3231: ASHWORTH\n",
      "Line 3232: ALBERTSON\n",
      "Line 3233: WERTZ\n",
      "Line 3234: VO\n",
      "Line 3235: VAUGHT\n",
      "Line 3236: VALLEJO\n",
      "Line 3237: TYREE\n",
      "Line 3238: TURK\n",
      "Line 3239: TUCK\n",
      "Line 3240: TIJERINA\n",
      "Line 3241: SAGE\n",
      "Line 3242: PICARD\n",
      "Line 3243: PETERMAN\n",
      "Line 3244: OTIS\n",
      "Line 3245: MARROQUIN\n",
      "Line 3246: MARR\n",
      "Line 3247: LANTZ\n",
      "Line 3248: HOANG\n",
      "Line 3249: DEMARCO\n",
      "Line 3250: DAILY\n",
      "Line 3251: CONE\n",
      "Line 3252: BERUBE\n",
      "Line 3253: BARNETTE\n",
      "Line 3254: WHARTON\n",
      "Line 3255: STINNETT\n",
      "Line 3256: SLOCUM\n",
      "Line 3257: SCANLON\n",
      "Line 3258: SANDER\n",
      "Line 3259: PINTO\n",
      "Line 3260: MANCUSO\n",
      "Line 3261: LIMA\n",
      "Line 3262: JUDGE\n",
      "Line 3263: HEADLEY\n",
      "Line 3264: EPSTEIN\n",
      "Line 3265: COUNTS\n",
      "Line 3266: CLARKSON\n",
      "Line 3267: CARNAHAN\n",
      "Line 3268: BRICE\n",
      "Line 3269: BOREN\n",
      "Line 3270: ARTEAGA\n",
      "Line 3271: ADAME\n",
      "Line 3272: ZOOK\n",
      "Line 3273: WHITTLE\n",
      "Line 3274: WHITEHURST\n",
      "Line 3275: WENZEL\n",
      "Line 3276: SAXTON\n",
      "Line 3277: RHEA\n",
      "Line 3278: REDDICK\n",
      "Line 3279: PUENTE\n",
      "Line 3280: HAZEL\n",
      "Line 3281: HANDLEY\n",
      "Line 3282: HAGGERTY\n",
      "Line 3283: EARLEY\n",
      "Line 3284: DEVLIN\n",
      "Line 3285: DALLAS\n",
      "Line 3286: CHAFFIN\n",
      "Line 3287: CADY\n",
      "Line 3288: AHMED\n",
      "Line 3289: ACUNA\n",
      "Line 3290: SOLANO\n",
      "Line 3291: SIGLER\n",
      "Line 3292: POLLACK\n",
      "Line 3293: PENDERGRASS\n",
      "Line 3294: OSTRANDER\n",
      "Line 3295: JANES\n",
      "Line 3296: FRANCOIS\n",
      "Line 3297: FINE\n",
      "Line 3298: CRUTCHFIELD\n",
      "Line 3299: CORDELL\n",
      "Line 3300: CHAMBERLIN\n",
      "Line 3301: BRUBAKER\n",
      "Line 3302: BAPTISTE\n",
      "Line 3303: WILLSON\n",
      "Line 3304: REIS\n",
      "Line 3305: NEELEY\n",
      "Line 3306: MULLIN\n",
      "Line 3307: MERCIER\n",
      "Line 3308: LIRA\n",
      "Line 3309: LAYMAN\n",
      "Line 3310: KEELING\n",
      "Line 3311: HIGDON\n",
      "Line 3312: GUEST\n",
      "Line 3313: FORRESTER\n",
      "Line 3314: ESPINAL\n",
      "Line 3315: DION\n",
      "Line 3316: CHAPIN\n",
      "Line 3317: CARL\n",
      "Line 3318: WARFIELD\n",
      "Line 3319: TOLEDO\n",
      "Line 3320: PULIDO\n",
      "Line 3321: PEEBLES\n",
      "Line 3322: NAGY\n",
      "Line 3323: MONTAGUE\n",
      "Line 3324: MELLO\n",
      "Line 3325: LEAR\n",
      "Line 3326: JAEGER\n",
      "Line 3327: HOGG\n",
      "Line 3328: GRAFF\n",
      "Line 3329: FURR\n",
      "Line 3330: DERRICK\n",
      "Line 3331: CAVE\n",
      "Line 3332: CANADA\n",
      "Line 3333: SOLIZ\n",
      "Line 3334: POORE\n",
      "Line 3335: MENDENHALL\n",
      "Line 3336: MCLAURIN\n",
      "Line 3337: MAESTAS\n",
      "Line 3338: LOW\n",
      "Line 3339: GABLE\n",
      "Line 3340: BELT\n",
      "Line 3341: BARRAZA\n",
      "Line 3342: TILLERY\n",
      "Line 3343: SNEAD\n",
      "Line 3344: POND\n",
      "Line 3345: NEILL\n",
      "Line 3346: MCCULLOCH\n",
      "Line 3347: MCCORKLE\n",
      "Line 3348: LIGHTFOOT\n",
      "Line 3349: HUTCHINGS\n",
      "Line 3350: HOLLOMAN\n",
      "Line 3351: HARNESS\n",
      "Line 3352: DORN\n",
      "Line 3353: COUNCIL\n",
      "Line 3354: BOCK\n",
      "Line 3355: ZIELINSKI\n",
      "Line 3356: TURLEY\n",
      "Line 3357: TREADWELL\n",
      "Line 3358: STPIERRE\n",
      "Line 3359: STARLING\n",
      "Line 3360: SOMERS\n",
      "Line 3361: OSWALD\n",
      "Line 3362: MERRICK\n",
      "Line 3363: MARQUIS\n",
      "Line 3364: IVORY\n",
      "Line 3365: EASTERLING\n",
      "Line 3366: BIVENS\n",
      "Line 3367: TRUITT\n",
      "Line 3368: POSTON\n",
      "Line 3369: PARRY\n",
      "Line 3370: ONTIVEROS\n",
      "Line 3371: OLIVAREZ\n",
      "Line 3372: NEVILLE\n",
      "Line 3373: MOREAU\n",
      "Line 3374: MEDLIN\n",
      "Line 3375: MA\n",
      "Line 3376: LENZ\n",
      "Line 3377: KNOWLTON\n",
      "Line 3378: FAIRLEY\n",
      "Line 3379: COBBS\n",
      "Line 3380: CHISOLM\n",
      "Line 3381: BANNISTER\n",
      "Line 3382: WOODWORTH\n",
      "Line 3383: TOLER\n",
      "Line 3384: OCASIO\n",
      "Line 3385: NORIEGA\n",
      "Line 3386: NEUMAN\n",
      "Line 3387: MOYE\n",
      "Line 3388: MILBURN\n",
      "Line 3389: MCCLANAHAN\n",
      "Line 3390: LILLEY\n",
      "Line 3391: HANES\n",
      "Line 3392: FLANNERY\n",
      "Line 3393: DELLINGER\n",
      "Line 3394: DANIELSON\n",
      "Line 3395: CONTI\n",
      "Line 3396: BLODGETT\n",
      "Line 3397: BEERS\n",
      "Line 3398: WEATHERFORD\n",
      "Line 3399: STRAIN\n",
      "Line 3400: KARR\n",
      "Line 3401: HITT\n",
      "Line 3402: DENHAM\n",
      "Line 3403: CUSTER\n",
      "Line 3404: COBLE\n",
      "Line 3405: CLOUGH\n",
      "Line 3406: CASTEEL\n",
      "Line 3407: BOLDUC\n",
      "Line 3408: BATCHELOR\n",
      "Line 3409: AMMONS\n",
      "Line 3410: WHITLOW\n",
      "Line 3411: TIERNEY\n",
      "Line 3412: STATEN\n",
      "Line 3413: SIBLEY\n",
      "Line 3414: SEIFERT\n",
      "Line 3415: SCHUBERT\n",
      "Line 3416: SALCEDO\n",
      "Line 3417: MATTISON\n",
      "Line 3418: LANEY\n",
      "Line 3419: HAGGARD\n",
      "Line 3420: GROOMS\n",
      "Line 3421: DIX\n",
      "Line 3422: DEES\n",
      "Line 3423: CROMER\n",
      "Line 3424: COOKS\n",
      "Line 3425: COLSON\n",
      "Line 3426: CASWELL\n",
      "Line 3427: ZARATE\n",
      "Line 3428: SWISHER\n",
      "Line 3429: STACEY\n",
      "Line 3430: SHIN\n",
      "Line 3431: RAGAN\n",
      "Line 3432: PRIDGEN\n",
      "Line 3433: MCVEY\n",
      "Line 3434: MATHENY\n",
      "Line 3435: LEIGH\n",
      "Line 3436: LAFLEUR\n",
      "Line 3437: FRANZ\n",
      "Line 3438: FERRARO\n",
      "Line 3439: DUGGER\n",
      "Line 3440: WHITESIDE\n",
      "Line 3441: RIGSBY\n",
      "Line 3442: MCMURRAY\n",
      "Line 3443: LEHMANN\n",
      "Line 3444: LARGE\n",
      "Line 3445: JACOBY\n",
      "Line 3446: HILDEBRAND\n",
      "Line 3447: HENDRICK\n",
      "Line 3448: HEADRICK\n",
      "Line 3449: GOAD\n",
      "Line 3450: FINCHER\n",
      "Line 3451: DRURY\n",
      "Line 3452: BORGES\n",
      "Line 3453: ARCHIBALD\n",
      "Line 3454: ALBERS\n",
      "Line 3455: WOODCOCK\n",
      "Line 3456: TRAPP\n",
      "Line 3457: SOARES\n",
      "Line 3458: SEATON\n",
      "Line 3459: RICHIE\n",
      "Line 3460: MONSON\n",
      "Line 3461: LUCKETT\n",
      "Line 3462: LINDBERG\n",
      "Line 3463: KOPP\n",
      "Line 3464: KEETON\n",
      "Line 3465: HSU\n",
      "Line 3466: HEALEY\n",
      "Line 3467: GARVEY\n",
      "Line 3468: GADDY\n",
      "Line 3469: FAIN\n",
      "Line 3470: BURCHFIELD\n",
      "Line 3471: BADGER\n",
      "Line 3472: WENTWORTH\n",
      "Line 3473: STRAND\n",
      "Line 3474: STACK\n",
      "Line 3475: SPOONER\n",
      "Line 3476: SAUCIER\n",
      "Line 3477: SALES\n",
      "Line 3478: RUBY\n",
      "Line 3479: RICCI\n",
      "Line 3480: PLUNKETT\n",
      "Line 3481: PANNELL\n",
      "Line 3482: NESS\n",
      "Line 3483: LEGER\n",
      "Line 3484: HOY\n",
      "Line 3485: FREITAS\n",
      "Line 3486: FONG\n",
      "Line 3487: ELIZONDO\n",
      "Line 3488: DUVAL\n",
      "Line 3489: CHUN\n",
      "Line 3490: CALVIN\n",
      "Line 3491: BEAUDOIN\n",
      "Line 3492: URBINA\n",
      "Line 3493: STOCK\n",
      "Line 3494: RICKARD\n",
      "Line 3495: PARTIN\n",
      "Line 3496: MOE\n",
      "Line 3497: MCGREW\n",
      "Line 3498: MCCLINTOCK\n",
      "Line 3499: LEDOUX\n",
      "Line 3500: FORSYTH\n",
      "Line 3501: FAISON\n",
      "Line 3502: DEVRIES\n",
      "Line 3503: BERTRAND\n",
      "Line 3504: WASSON\n",
      "Line 3505: TILTON\n",
      "Line 3506: SCARBROUGH\n",
      "Line 3507: PRIDE\n",
      "Line 3508: OH\n",
      "Line 3509: LEUNG\n",
      "Line 3510: LARRY\n",
      "Line 3511: IRVINE\n",
      "Line 3512: GARBER\n",
      "Line 3513: DENNING\n",
      "Line 3514: CORRAL\n",
      "Line 3515: COLLEY\n",
      "Line 3516: CASTLEBERRY\n",
      "Line 3517: BOWLIN\n",
      "Line 3518: BOGAN\n",
      "Line 3519: BEALE\n",
      "Line 3520: BAINES\n",
      "Line 3521: TRUE\n",
      "Line 3522: TRICE\n",
      "Line 3523: RAYBURN\n",
      "Line 3524: PARKINSON\n",
      "Line 3525: PAK\n",
      "Line 3526: NUNES\n",
      "Line 3527: MCMILLEN\n",
      "Line 3528: LEAHY\n",
      "Line 3529: LEA\n",
      "Line 3530: KIMMEL\n",
      "Line 3531: HIGGS\n",
      "Line 3532: FULMER\n",
      "Line 3533: CARDEN\n",
      "Line 3534: BEDFORD\n",
      "Line 3535: TAGGART\n",
      "Line 3536: SPEARMAN\n",
      "Line 3537: REGISTER\n",
      "Line 3538: PRICHARD\n",
      "Line 3539: MORRILL\n",
      "Line 3540: KOONCE\n",
      "Line 3541: HEINZ\n",
      "Line 3542: HEDGES\n",
      "Line 3543: GUENTHER\n",
      "Line 3544: GRICE\n",
      "Line 3545: FINDLEY\n",
      "Line 3546: EARLE\n",
      "Line 3547: DOVER\n",
      "Line 3548: CREIGHTON\n",
      "Line 3549: BOOTHE\n",
      "Line 3550: BAYER\n",
      "Line 3551: ARREOLA\n",
      "Line 3552: VITALE\n",
      "Line 3553: VALLES\n",
      "Line 3554: SEE\n",
      "Line 3555: RANEY\n",
      "Line 3556: PETER\n",
      "Line 3557: OSGOOD\n",
      "Line 3558: LOWELL\n",
      "Line 3559: HANLON\n",
      "Line 3560: BURLEY\n",
      "Line 3561: BOUNDS\n",
      "Line 3562: WORDEN\n",
      "Line 3563: WEATHERLY\n",
      "Line 3564: VETTER\n",
      "Line 3565: TANAKA\n",
      "Line 3566: STILTNER\n",
      "Line 3567: SELL\n",
      "Line 3568: NEVAREZ\n",
      "Line 3569: MOSBY\n",
      "Line 3570: MONTERO\n",
      "Line 3571: MELANCON\n",
      "Line 3572: HARTER\n",
      "Line 3573: HAMER\n",
      "Line 3574: GOBLE\n",
      "Line 3575: GLADDEN\n",
      "Line 3576: GIST\n",
      "Line 3577: GINN\n",
      "Line 3578: AKIN\n",
      "Line 3579: ZARAGOZA\n",
      "Line 3580: TOWNS\n",
      "Line 3581: TARVER\n",
      "Line 3582: SAMMONS\n",
      "Line 3583: ROYSTER\n",
      "Line 3584: OREILLY\n",
      "Line 3585: MUIR\n",
      "Line 3586: MOREHEAD\n",
      "Line 3587: LUSTER\n",
      "Line 3588: KINGSLEY\n",
      "Line 3589: KELSO\n",
      "Line 3590: GRISHAM\n",
      "Line 3591: GLYNN\n",
      "Line 3592: BAUMANN\n",
      "Line 3593: ALVES\n",
      "Line 3594: YOUNT\n",
      "Line 3595: TAMAYO\n",
      "Line 3596: TAM\n",
      "Line 3597: PATERSON\n",
      "Line 3598: OATES\n",
      "Line 3599: MENENDEZ\n",
      "Line 3600: LONGO\n",
      "Line 3601: HARGIS\n",
      "Line 3602: GREENLEE\n",
      "Line 3603: GILLEN\n",
      "Line 3604: DESANTIS\n",
      "Line 3605: CONOVER\n",
      "Line 3606: BREEDLOVE\n",
      "Line 3607: WAYNE\n",
      "Line 3608: SUMPTER\n",
      "Line 3609: SCHERER\n",
      "Line 3610: RUPP\n",
      "Line 3611: REICHERT\n",
      "Line 3612: HEREDIA\n",
      "Line 3613: FALLON\n",
      "Line 3614: CREEL\n",
      "Line 3615: COHN\n",
      "Line 3616: CLEMMONS\n",
      "Line 3617: CASAS\n",
      "Line 3618: BICKFORD\n",
      "Line 3619: BELTON\n",
      "Line 3620: BACH\n",
      "Line 3621: WILLIFORD\n",
      "Line 3622: WHITCOMB\n",
      "Line 3623: TENNANT\n",
      "Line 3624: SUTTER\n",
      "Line 3625: STULL\n",
      "Line 3626: SESSIONS\n",
      "Line 3627: MCCALLUM\n",
      "Line 3628: MANSON\n",
      "Line 3629: LANGLOIS\n",
      "Line 3630: KEEL\n",
      "Line 3631: KEEGAN\n",
      "Line 3632: EMANUEL\n",
      "Line 3633: DANGELO\n",
      "Line 3634: DANCY\n",
      "Line 3635: DAMRON\n",
      "Line 3636: CLAPP\n",
      "Line 3637: CLANTON\n",
      "Line 3638: BANKSTON\n",
      "Line 3639: TRINIDAD\n",
      "Line 3640: OLIVEIRA\n",
      "Line 3641: MINTZ\n",
      "Line 3642: MCINNIS\n",
      "Line 3643: MARTENS\n",
      "Line 3644: MABE\n",
      "Line 3645: LASTER\n",
      "Line 3646: JOLLEY\n",
      "Line 3647: IRISH\n",
      "Line 3648: HILDRETH\n",
      "Line 3649: HEFNER\n",
      "Line 3650: GLASER\n",
      "Line 3651: DUCKETT\n",
      "Line 3652: DEMERS\n",
      "Line 3653: BROCKMAN\n",
      "Line 3654: BLAIS\n",
      "Line 3655: BACK\n",
      "Line 3656: ALCORN\n",
      "Line 3657: AGNEW\n",
      "Line 3658: TOLIVER\n",
      "Line 3659: TICE\n",
      "Line 3660: SONG\n",
      "Line 3661: SEELEY\n",
      "Line 3662: NAJERA\n",
      "Line 3663: MUSSER\n",
      "Line 3664: MCFALL\n",
      "Line 3665: LAPLANTE\n",
      "Line 3666: GALVIN\n",
      "Line 3667: FAJARDO\n",
      "Line 3668: DOAN\n",
      "Line 3669: COYNE\n",
      "Line 3670: COPLEY\n",
      "Line 3671: CLAWSON\n",
      "Line 3672: CHEUNG\n",
      "Line 3673: BARONE\n",
      "Line 3674: WYNNE\n",
      "Line 3675: WOODLEY\n",
      "Line 3676: TREMBLAY\n",
      "Line 3677: STOLL\n",
      "Line 3678: SPARROW\n",
      "Line 3679: SPARKMAN\n",
      "Line 3680: SCHWEITZER\n",
      "Line 3681: SASSER\n",
      "Line 3682: SAMPLES\n",
      "Line 3683: RONEY\n",
      "Line 3684: RAMON\n",
      "Line 3685: LEGG\n",
      "Line 3686: LAI\n",
      "Line 3687: JOE\n",
      "Line 3688: HEIM\n",
      "Line 3689: FARIAS\n",
      "Line 3690: CONCEPCION\n",
      "Line 3691: COLWELL\n",
      "Line 3692: CHRISTMAN\n",
      "Line 3693: BRATCHER\n",
      "Line 3694: ALBA\n",
      "Line 3695: WINCHESTER\n",
      "Line 3696: UPSHAW\n",
      "Line 3697: SOUTHERLAND\n",
      "Line 3698: SORRELL\n",
      "Line 3699: SHAY\n",
      "Line 3700: SELLS\n",
      "Line 3701: MOUNT\n",
      "Line 3702: MCCLOSKEY\n",
      "Line 3703: MARTINDALE\n",
      "Line 3704: LUTTRELL\n",
      "Line 3705: LOVELESS\n",
      "Line 3706: LOVEJOY\n",
      "Line 3707: LINARES\n",
      "Line 3708: LATIMER\n",
      "Line 3709: HOLLY\n",
      "Line 3710: EMBRY\n",
      "Line 3711: COOMBS\n",
      "Line 3712: BRATTON\n",
      "Line 3713: BOSTICK\n",
      "Line 3714: BOSS\n",
      "Line 3715: VENABLE\n",
      "Line 3716: TUGGLE\n",
      "Line 3717: TORO\n",
      "Line 3718: STAGGS\n",
      "Line 3719: SANDLIN\n",
      "Line 3720: JEFFERIES\n",
      "Line 3721: HECKMAN\n",
      "Line 3722: GRIFFIS\n",
      "Line 3723: CRAYTON\n",
      "Line 3724: CLEM\n",
      "Line 3725: BUTTON\n",
      "Line 3726: BROWDER\n",
      "Line 3727: ALLAN\n",
      "Line 3728: THORTON\n",
      "Line 3729: STURGILL\n",
      "Line 3730: SPROUSE\n",
      "Line 3731: ROYER\n",
      "Line 3732: ROUSSEAU\n",
      "Line 3733: RIDENOUR\n",
      "Line 3734: POGUE\n",
      "Line 3735: PERALES\n",
      "Line 3736: PEEPLES\n",
      "Line 3737: METZLER\n",
      "Line 3738: MESA\n",
      "Line 3739: MCCUTCHEON\n",
      "Line 3740: MCBEE\n",
      "Line 3741: JAY\n",
      "Line 3742: HORNSBY\n",
      "Line 3743: HEFFNER\n",
      "Line 3744: CORRIGAN\n",
      "Line 3745: ARMIJO\n",
      "Line 3746: VUE\n",
      "Line 3747: ROMEO\n",
      "Line 3748: PLANTE\n",
      "Line 3749: PEYTON\n",
      "Line 3750: PAREDES\n",
      "Line 3751: MACKLIN\n",
      "Line 3752: HUSSEY\n",
      "Line 3753: HODGSON\n",
      "Line 3754: GRANADOS\n",
      "Line 3755: FRIAS\n",
      "Line 3756: CARMAN\n",
      "Line 3757: BRENT\n",
      "Line 3758: BECNEL\n",
      "Line 3759: BATTEN\n",
      "Line 3760: ALMANZA\n",
      "Line 3761: TURNEY\n",
      "Line 3762: TEAL\n",
      "Line 3763: STURGEON\n",
      "Line 3764: MEEKER\n",
      "Line 3765: MCDANIELS\n",
      "Line 3766: LIMON\n",
      "Line 3767: KEENEY\n",
      "Line 3768: KEE\n",
      "Line 3769: HUTTO\n",
      "Line 3770: HOLGUIN\n",
      "Line 3771: GORHAM\n",
      "Line 3772: FISHMAN\n",
      "Line 3773: FIERRO\n",
      "Line 3774: BLANCHETTE\n",
      "Line 3775: RODRIGUE\n",
      "Line 3776: REDDY\n",
      "Line 3777: OSBURN\n",
      "Line 3778: ODEN\n",
      "Line 3779: LERMA\n",
      "Line 3780: KIRKWOOD\n",
      "Line 3781: KEEFER\n",
      "Line 3782: HAUGEN\n",
      "Line 3783: HAMMETT\n",
      "Line 3784: CHALMERS\n",
      "Line 3785: CARLOS\n",
      "Line 3786: BRINKMAN\n",
      "Line 3787: BAUMGARTNER\n",
      "Line 3788: ZHANG\n",
      "Line 3789: VALERIO\n",
      "Line 3790: TELLEZ\n",
      "Line 3791: STEFFEN\n",
      "Line 3792: SHUMATE\n",
      "Line 3793: SAULS\n",
      "Line 3794: RIPLEY\n",
      "Line 3795: KEMPER\n",
      "Line 3796: JACKS\n",
      "Line 3797: GUFFEY\n",
      "Line 3798: EVERS\n",
      "Line 3799: CRADDOCK\n",
      "Line 3800: CARVALHO\n",
      "Line 3801: BLAYLOCK\n",
      "Line 3802: BANUELOS\n",
      "Line 3803: BALDERAS\n",
      "Line 3804: WOODEN\n",
      "Line 3805: WHEATON\n",
      "Line 3806: TURNBULL\n",
      "Line 3807: SHUMAN\n",
      "Line 3808: POINTER\n",
      "Line 3809: MOSIER\n",
      "Line 3810: MCCUE\n",
      "Line 3811: LIGON\n",
      "Line 3812: KOZLOWSKI\n",
      "Line 3813: JOHANSEN\n",
      "Line 3814: INGLE\n",
      "Line 3815: HERR\n",
      "Line 3816: BRIONES\n",
      "Line 3817: SOUTHERN\n",
      "Line 3818: SNIPES\n",
      "Line 3819: RICKMAN\n",
      "Line 3820: PIPKIN\n",
      "Line 3821: PEACE\n",
      "Line 3822: PANTOJA\n",
      "Line 3823: OROSCO\n",
      "Line 3824: MONIZ\n",
      "Line 3825: LAWLESS\n",
      "Line 3826: KUNKEL\n",
      "Line 3827: HIBBARD\n",
      "Line 3828: GALARZA\n",
      "Line 3829: ENOS\n",
      "Line 3830: BUSSEY\n",
      "Line 3831: SETTLE\n",
      "Line 3832: SCHOTT\n",
      "Line 3833: SALCIDO\n",
      "Line 3834: PERREAULT\n",
      "Line 3835: MCDOUGAL\n",
      "Line 3836: MCCOOL\n",
      "Line 3837: HAIGHT\n",
      "Line 3838: GARRIS\n",
      "Line 3839: FERRY\n",
      "Line 3840: EASTON\n",
      "Line 3841: CONYERS\n",
      "Line 3842: ATHERTON\n",
      "Line 3843: WIMBERLY\n",
      "Line 3844: UTLEY\n",
      "Line 3845: STEPHEN\n",
      "Line 3846: SPELLMAN\n",
      "Line 3847: SMITHSON\n",
      "Line 3848: SLAGLE\n",
      "Line 3849: SKIPPER\n",
      "Line 3850: RITCHEY\n",
      "Line 3851: RAND\n",
      "Line 3852: PETIT\n",
      "Line 3853: OSULLIVAN\n",
      "Line 3854: OAKS\n",
      "Line 3855: NUTT\n",
      "Line 3856: MCVAY\n",
      "Line 3857: MCCREARY\n",
      "Line 3858: MAYHEW\n",
      "Line 3859: KNOLL\n",
      "Line 3860: JEWETT\n",
      "Line 3861: HARWOOD\n",
      "Line 3862: HAILEY\n",
      "Line 3863: CARDOZA\n",
      "Line 3864: ASHE\n",
      "Line 3865: ARRIAGA\n",
      "Line 3866: ANDRES\n",
      "Line 3867: ZELLER\n",
      "Line 3868: WIRTH\n",
      "Line 3869: WHITMIRE\n",
      "Line 3870: STAUFFER\n",
      "Line 3871: SPRING\n",
      "Line 3872: ROUNTREE\n",
      "Line 3873: REDDEN\n",
      "Line 3874: MCCAFFREY\n",
      "Line 3875: MARTZ\n",
      "Line 3876: LOVING\n",
      "Line 3877: LAROSE\n",
      "Line 3878: LANGDON\n",
      "Line 3879: HUMES\n",
      "Line 3880: GASKIN\n",
      "Line 3881: FABER\n",
      "Line 3882: DOLL\n",
      "Line 3883: DEVITO\n",
      "Line 3884: CASS\n",
      "Line 3885: ALMOND\n",
      "Line 3886: WINGFIELD\n",
      "Line 3887: WINGATE\n",
      "Line 3888: VILLAREAL\n",
      "Line 3889: TYNER\n",
      "Line 3890: SMOTHERS\n",
      "Line 3891: SEVERSON\n",
      "Line 3892: RENO\n",
      "Line 3893: PENNELL\n",
      "Line 3894: MAUPIN\n",
      "Line 3895: LEIGHTON\n",
      "Line 3896: JANSSEN\n",
      "Line 3897: HASSELL\n",
      "Line 3898: HALLMAN\n",
      "Line 3899: HALCOMB\n",
      "Line 3900: FOLSE\n",
      "Line 3901: FITZSIMMONS\n",
      "Line 3902: FAHEY\n",
      "Line 3903: CRANFORD\n",
      "Line 3904: BOLEN\n",
      "Line 3905: BATTLES\n",
      "Line 3906: BATTAGLIA\n",
      "Line 3907: WOOLDRIDGE\n",
      "Line 3908: WEED\n",
      "Line 3909: TRASK\n",
      "Line 3910: ROSSER\n",
      "Line 3911: REGALADO\n",
      "Line 3912: MCEWEN\n",
      "Line 3913: KEEFE\n",
      "Line 3914: FUQUA\n",
      "Line 3915: ECHEVARRIA\n",
      "Line 3916: DOMINGO\n",
      "Line 3917: DANG\n",
      "Line 3918: CARO\n",
      "Line 3919: BOYNTON\n",
      "Line 3920: ANDRUS\n",
      "Line 3921: WILD\n",
      "Line 3922: VIERA\n",
      "Line 3923: VANMETER\n",
      "Line 3924: TABER\n",
      "Line 3925: SPRADLIN\n",
      "Line 3926: SEIBERT\n",
      "Line 3927: PROVOST\n",
      "Line 3928: PRENTICE\n",
      "Line 3929: OLIPHANT\n",
      "Line 3930: LAPORTE\n",
      "Line 3931: HWANG\n",
      "Line 3932: HATCHETT\n",
      "Line 3933: HASS\n",
      "Line 3934: GREINER\n",
      "Line 3935: FREEDMAN\n",
      "Line 3936: COVERT\n",
      "Line 3937: CHILTON\n",
      "Line 3938: BYARS\n",
      "Line 3939: WIESE\n",
      "Line 3940: VENEGAS\n",
      "Line 3941: SWANK\n",
      "Line 3942: SHRADER\n",
      "Line 3943: RODERICK\n",
      "Line 3944: ROBERGE\n",
      "Line 3945: MULLIS\n",
      "Line 3946: MORTENSEN\n",
      "Line 3947: MCCUNE\n",
      "Line 3948: MARLOWE\n",
      "Line 3949: KIRCHNER\n",
      "Line 3950: KECK\n",
      "Line 3951: ISAACSON\n",
      "Line 3952: HOSTETLER\n",
      "Line 3953: HALVERSON\n",
      "Line 3954: GUNTHER\n",
      "Line 3955: GRISWOLD\n",
      "Line 3956: GERARD\n",
      "Line 3957: FENNER\n",
      "Line 3958: DURDEN\n",
      "Line 3959: BLACKWOOD\n",
      "Line 3960: BERTRAM\n",
      "Line 3961: AHRENS\n",
      "Line 3962: SAWYERS\n",
      "Line 3963: SAVOY\n",
      "Line 3964: NABORS\n",
      "Line 3965: MCSWAIN\n",
      "Line 3966: MACKAY\n",
      "Line 3967: LOY\n",
      "Line 3968: LAVENDER\n",
      "Line 3969: LASH\n",
      "Line 3970: LABBE\n",
      "Line 3971: JESSUP\n",
      "Line 3972: HUBERT\n",
      "Line 3973: FULLERTON\n",
      "Line 3974: DONNELL\n",
      "Line 3975: CRUSE\n",
      "Line 3976: CRITTENDEN\n",
      "Line 3977: CORREIA\n",
      "Line 3978: CENTENO\n",
      "Line 3979: CAUDLE\n",
      "Line 3980: CANADY\n",
      "Line 3981: CALLENDER\n",
      "Line 3982: ALARCON\n",
      "Line 3983: AHERN\n",
      "Line 3984: WINFREY\n",
      "Line 3985: TRIBBLE\n",
      "Line 3986: TOM\n",
      "Line 3987: STYLES\n",
      "Line 3988: SALLEY\n",
      "Line 3989: RODEN\n",
      "Line 3990: MUSGROVE\n",
      "Line 3991: MINNICK\n",
      "Line 3992: FORTENBERRY\n",
      "Line 3993: CARRION\n",
      "Line 3994: BUNTING\n",
      "Line 3995: BETHEL\n",
      "Line 3996: BATISTE\n",
      "Line 3997: WOO\n",
      "Line 3998: WHITED\n",
      "Line 3999: UNDERHILL\n",
      "Line 4000: STILLWELL\n",
      "Line 4001: SILVIA\n",
      "Line 4002: RAUCH\n",
      "Line 4003: PIPPIN\n",
      "Line 4004: PERRIN\n",
      "Line 4005: MESSENGER\n",
      "Line 4006: MANCINI\n",
      "Line 4007: LISTER\n",
      "Line 4008: KINARD\n",
      "Line 4009: HARTMANN\n",
      "Line 4010: FLECK\n",
      "Line 4011: BROADWAY\n",
      "Line 4012: WILT\n",
      "Line 4013: TREADWAY\n",
      "Line 4014: THORNHILL\n",
      "Line 4015: SPEED\n",
      "Line 4016: SPALDING\n",
      "Line 4017: SAM\n",
      "Line 4018: RAFFERTY\n",
      "Line 4019: PITRE\n",
      "Line 4020: PATINO\n",
      "Line 4021: ORDONEZ\n",
      "Line 4022: LINKOUS\n",
      "Line 4023: KELLEHER\n",
      "Line 4024: HOMAN\n",
      "Line 4025: HOLIDAY\n",
      "Line 4026: GALBRAITH\n",
      "Line 4027: FEENEY\n",
      "Line 4028: DORRIS\n",
      "Line 4029: CURTIN\n",
      "Line 4030: COWARD\n",
      "Line 4031: CAMARILLO\n",
      "Line 4032: BUSS\n",
      "Line 4033: BUNNELL\n",
      "Line 4034: BOLT\n",
      "Line 4035: BEELER\n",
      "Line 4036: AUTRY\n",
      "Line 4037: ALCALA\n",
      "Line 4038: WITTE\n",
      "Line 4039: WENTZ\n",
      "Line 4040: STIDHAM\n",
      "Line 4041: SHIVELY\n",
      "Line 4042: NUNLEY\n",
      "Line 4043: MEACHAM\n",
      "Line 4044: MARTINS\n",
      "Line 4045: LEMKE\n",
      "Line 4046: LEFEBVRE\n",
      "Line 4047: KAYE\n",
      "Line 4048: HYNES\n",
      "Line 4049: HOROWITZ\n",
      "Line 4050: HOPPE\n",
      "Line 4051: HOLCOMBE\n",
      "Line 4052: ESTRELLA\n",
      "Line 4053: DUNNE\n",
      "Line 4054: DERR\n",
      "Line 4055: COCHRANE\n",
      "Line 4056: BRITTAIN\n",
      "Line 4057: BEDARD\n",
      "Line 4058: BEAUREGARD\n",
      "Line 4059: TORRENCE\n",
      "Line 4060: STRUNK\n",
      "Line 4061: SORIA\n",
      "Line 4062: SIMONSON\n",
      "Line 4063: SHUMAKER\n",
      "Line 4064: SCOGGINS\n",
      "Line 4065: PACKER\n",
      "Line 4066: OCONNER\n",
      "Line 4067: MORIARTY\n",
      "Line 4068: LEROY\n",
      "Line 4069: KUNTZ\n",
      "Line 4070: IVES\n",
      "Line 4071: HUTCHESON\n",
      "Line 4072: HORAN\n",
      "Line 4073: HALES\n",
      "Line 4074: GARMON\n",
      "Line 4075: FITTS\n",
      "Line 4076: DELL\n",
      "Line 4077: BOHN\n",
      "Line 4078: ATCHISON\n",
      "Line 4079: WORTH\n",
      "Line 4080: WISNIEWSKI\n",
      "Line 4081: WILL\n",
      "Line 4082: VANWINKLE\n",
      "Line 4083: STURM\n",
      "Line 4084: SALLEE\n",
      "Line 4085: PROSSER\n",
      "Line 4086: MOEN\n",
      "Line 4087: LUNDBERG\n",
      "Line 4088: KUNZ\n",
      "Line 4089: KOHL\n",
      "Line 4090: KEANE\n",
      "Line 4091: JORGENSON\n",
      "Line 4092: JAYNES\n",
      "Line 4093: FUNDERBURK\n",
      "Line 4094: FREED\n",
      "Line 4095: FRAME\n",
      "Line 4096: DURR\n",
      "Line 4097: CREAMER\n",
      "Line 4098: COSGROVE\n",
      "Line 4099: CANDELARIA\n",
      "Line 4100: BERLIN\n",
      "Line 4101: BATSON\n",
      "Line 4102: VANHOOSE\n",
      "Line 4103: THOMSEN\n",
      "Line 4104: TEETER\n",
      "Line 4105: SOMMER\n",
      "Line 4106: SMYTH\n",
      "Line 4107: SENA\n",
      "Line 4108: REDMON\n",
      "Line 4109: ORELLANA\n",
      "Line 4110: MANESS\n",
      "Line 4111: LENNON\n",
      "Line 4112: HEFLIN\n",
      "Line 4113: GOULET\n",
      "Line 4114: FRICK\n",
      "Line 4115: FORNEY\n",
      "Line 4116: DOLLAR\n",
      "Line 4117: BUNKER\n",
      "Line 4118: ASBURY\n",
      "Line 4119: AGUIAR\n",
      "Line 4120: TALBOTT\n",
      "Line 4121: SOUTHARD\n",
      "Line 4122: PLEASANT\n",
      "Line 4123: MOWERY\n",
      "Line 4124: MEARS\n",
      "Line 4125: LEMMON\n",
      "Line 4126: KRIEGER\n",
      "Line 4127: HICKSON\n",
      "Line 4128: GRACIA\n",
      "Line 4129: ELSTON\n",
      "Line 4130: DUONG\n",
      "Line 4131: DELGADILLO\n",
      "Line 4132: DAYTON\n",
      "Line 4133: DASILVA\n",
      "Line 4134: CONAWAY\n",
      "Line 4135: CATRON\n",
      "Line 4136: BRUTON\n",
      "Line 4137: BRADBURY\n",
      "Line 4138: BORDELON\n",
      "Line 4139: BIVINS\n",
      "Line 4140: BITTNER\n",
      "Line 4141: BERGSTROM\n",
      "Line 4142: BEALS\n",
      "Line 4143: ABELL\n",
      "Line 4144: WHELAN\n",
      "Line 4145: TRAVERS\n",
      "Line 4146: TEJADA\n",
      "Line 4147: PULLEY\n",
      "Line 4148: PINO\n",
      "Line 4149: NORFLEET\n",
      "Line 4150: NEALY\n",
      "Line 4151: MAES\n",
      "Line 4152: LOPER\n",
      "Line 4153: HELD\n",
      "Line 4154: GERALD\n",
      "Line 4155: GATEWOOD\n",
      "Line 4156: FRIERSON\n",
      "Line 4157: FREUND\n",
      "Line 4158: FINNEGAN\n",
      "Line 4159: CUPP\n",
      "Line 4160: COVEY\n",
      "Line 4161: CATALANO\n",
      "Line 4162: BOEHM\n",
      "Line 4163: BADER\n",
      "Line 4164: YOON\n",
      "Line 4165: WALSTON\n",
      "Line 4166: TENNEY\n",
      "Line 4167: SIPES\n",
      "Line 4168: ROLLER\n",
      "Line 4169: RAWLINS\n",
      "Line 4170: MEDLOCK\n",
      "Line 4171: MCCASKILL\n",
      "Line 4172: MCCALLISTER\n",
      "Line 4173: MARCOTTE\n",
      "Line 4174: MACLEAN\n",
      "Line 4175: HUGHEY\n",
      "Line 4176: HENKE\n",
      "Line 4177: HARWELL\n",
      "Line 4178: GLADNEY\n",
      "Line 4179: GILSON\n",
      "Line 4180: DEW\n",
      "Line 4181: CHISM\n",
      "Line 4182: CASKEY\n",
      "Line 4183: BRANDENBURG\n",
      "Line 4184: BAYLOR\n",
      "Line 4185: VILLASENOR\n",
      "Line 4186: VEAL\n",
      "Line 4187: VAN\n",
      "Line 4188: THATCHER\n",
      "Line 4189: STEGALL\n",
      "Line 4190: SHORE\n",
      "Line 4191: PETRIE\n",
      "Line 4192: NOWLIN\n",
      "Line 4193: NAVARRETE\n",
      "Line 4194: MUHAMMAD\n",
      "Line 4195: LOMBARD\n",
      "Line 4196: LOFTIN\n",
      "Line 4197: LEMASTER\n",
      "Line 4198: KROLL\n",
      "Line 4199: KOVACH\n",
      "Line 4200: KIMBRELL\n",
      "Line 4201: KIDWELL\n",
      "Line 4202: HERSHBERGER\n",
      "Line 4203: FULCHER\n",
      "Line 4204: ENG\n",
      "Line 4205: CANTWELL\n",
      "Line 4206: BUSTOS\n",
      "Line 4207: BOLAND\n",
      "Line 4208: BOBBITT\n",
      "Line 4209: BINKLEY\n",
      "Line 4210: WESTER\n",
      "Line 4211: WEIS\n",
      "Line 4212: VERDIN\n",
      "Line 4213: TONG\n",
      "Line 4214: TILLER\n",
      "Line 4215: SISCO\n",
      "Line 4216: SHARKEY\n",
      "Line 4217: SEYMORE\n",
      "Line 4218: ROSENBAUM\n",
      "Line 4219: ROHR\n",
      "Line 4220: QUINONEZ\n",
      "Line 4221: PINKSTON\n",
      "Line 4222: NATION\n",
      "Line 4223: MALLEY\n",
      "Line 4224: LOGUE\n",
      "Line 4225: LESSARD\n",
      "Line 4226: LERNER\n",
      "Line 4227: LEBRON\n",
      "Line 4228: KRAUSS\n",
      "Line 4229: KLINGER\n",
      "Line 4230: HALSTEAD\n",
      "Line 4231: HALLER\n",
      "Line 4232: GETZ\n",
      "Line 4233: BURROW\n",
      "Line 4234: BRANT\n",
      "Line 4235: ALGER\n",
      "Line 4236: VICTOR\n",
      "Line 4237: SHORES\n",
      "Line 4238: SCULLY\n",
      "Line 4239: POUNDS\n",
      "Line 4240: PFEIFER\n",
      "Line 4241: PERRON\n",
      "Line 4242: NELMS\n",
      "Line 4243: MUNN\n",
      "Line 4244: MCMASTER\n",
      "Line 4245: MCKENNEY\n",
      "Line 4246: MANNS\n",
      "Line 4247: KNUDSON\n",
      "Line 4248: HUTCHENS\n",
      "Line 4249: HUSKEY\n",
      "Line 4250: GOEBEL\n",
      "Line 4251: FLAGG\n",
      "Line 4252: CUSHMAN\n",
      "Line 4253: CLICK\n",
      "Line 4254: CASTELLANO\n",
      "Line 4255: CARDER\n",
      "Line 4256: BUMGARNER\n",
      "Line 4257: BLAINE\n",
      "Line 4258: BIBLE\n",
      "Line 4259: WAMPLER\n",
      "Line 4260: SPINKS\n",
      "Line 4261: ROBSON\n",
      "Line 4262: NEEL\n",
      "Line 4263: MCREYNOLDS\n",
      "Line 4264: MATHIAS\n",
      "Line 4265: MAAS\n",
      "Line 4266: LOERA\n",
      "Line 4267: KASPER\n",
      "Line 4268: JOSE\n",
      "Line 4269: JENSON\n",
      "Line 4270: FLOREZ\n",
      "Line 4271: COONS\n",
      "Line 4272: BUCKINGHAM\n",
      "Line 4273: BROGAN\n",
      "Line 4274: BERRYMAN\n",
      "Line 4275: WILMOTH\n",
      "Line 4276: WILHITE\n",
      "Line 4277: THRASH\n",
      "Line 4278: SHEPHARD\n",
      "Line 4279: SEIDEL\n",
      "Line 4280: SCHULZE\n",
      "Line 4281: ROLDAN\n",
      "Line 4282: PETTIS\n",
      "Line 4283: OBRYAN\n",
      "Line 4284: MAKI\n",
      "Line 4285: MACKIE\n",
      "Line 4286: HATLEY\n",
      "Line 4287: FRAZER\n",
      "Line 4288: FIORE\n",
      "Line 4289: FALLS\n",
      "Line 4290: CHESSER\n",
      "Line 4291: BUI\n",
      "Line 4292: BOTTOMS\n",
      "Line 4293: BISSON\n",
      "Line 4294: BENEFIELD\n",
      "Line 4295: ALLMAN\n",
      "Line 4296: WILKE\n",
      "Line 4297: TRUDEAU\n",
      "Line 4298: TIMM\n",
      "Line 4299: SHIFFLETT\n",
      "Line 4300: RAU\n",
      "Line 4301: MUNDY\n",
      "Line 4302: MILLIKEN\n",
      "Line 4303: MAYERS\n",
      "Line 4304: LEAKE\n",
      "Line 4305: KOHN\n",
      "Line 4306: HUNTINGTON\n",
      "Line 4307: HORSLEY\n",
      "Line 4308: HERMANN\n",
      "Line 4309: GUERIN\n",
      "Line 4310: FRYER\n",
      "Line 4311: FRIZZELL\n",
      "Line 4312: FORET\n",
      "Line 4313: FLEMMING\n",
      "Line 4314: FIFE\n",
      "Line 4315: CRISWELL\n",
      "Line 4316: CARBAJAL\n",
      "Line 4317: BOZEMAN\n",
      "Line 4318: BOISVERT\n",
      "Line 4319: ARCHIE\n",
      "Line 4320: ANTONIO\n",
      "Line 4321: ANGULO\n",
      "Line 4322: WALLEN\n",
      "Line 4323: TAPP\n",
      "Line 4324: SILVERS\n",
      "Line 4325: RAMSAY\n",
      "Line 4326: OSHEA\n",
      "Line 4327: ORTA\n",
      "Line 4328: MOLL\n",
      "Line 4329: MCKEEVER\n",
      "Line 4330: MCGEHEE\n",
      "Line 4331: LUCIANO\n",
      "Line 4332: LINVILLE\n",
      "Line 4333: KIEFER\n",
      "Line 4334: KETCHUM\n",
      "Line 4335: HOWERTON\n",
      "Line 4336: GROCE\n",
      "Line 4337: GAYLORD\n",
      "Line 4338: GASS\n",
      "Line 4339: FUSCO\n",
      "Line 4340: CORBITT\n",
      "Line 4341: BLYTHE\n",
      "Line 4342: BETZ\n",
      "Line 4343: BARTELS\n",
      "Line 4344: AMARAL\n",
      "Line 4345: AIELLO\n",
      "Line 4346: YOO\n",
      "Line 4347: WEDDLE\n",
      "Line 4348: TROY\n",
      "Line 4349: SUN\n",
      "Line 4350: SPERRY\n",
      "Line 4351: SEILER\n",
      "Line 4352: RUNYAN\n",
      "Line 4353: RALEY\n",
      "Line 4354: OVERBY\n",
      "Line 4355: OSTEEN\n",
      "Line 4356: OLDS\n",
      "Line 4357: MCKEOWN\n",
      "Line 4358: MAURO\n",
      "Line 4359: MATNEY\n",
      "Line 4360: LAUER\n",
      "Line 4361: LATTIMORE\n",
      "Line 4362: HINDMAN\n",
      "Line 4363: HARTWELL\n",
      "Line 4364: FREDRICKSON\n",
      "Line 4365: FREDERICKS\n",
      "Line 4366: ESPINO\n",
      "Line 4367: CLEGG\n",
      "Line 4368: CARSWELL\n",
      "Line 4369: CAMBELL\n",
      "Line 4370: BURKHOLDER\n",
      "Line 4371: AUGUST\n",
      "Line 4372: WOODBURY\n",
      "Line 4373: WELKER\n",
      "Line 4374: TOTTEN\n",
      "Line 4375: THORNBURG\n",
      "Line 4376: THERIAULT\n",
      "Line 4377: STITT\n",
      "Line 4378: STAMM\n",
      "Line 4379: STACKHOUSE\n",
      "Line 4380: SIMONE\n",
      "Line 4381: SCHOLL\n",
      "Line 4382: SAXON\n",
      "Line 4383: RIFE\n",
      "Line 4384: RAZO\n",
      "Line 4385: QUINLAN\n",
      "Line 4386: PINKERTON\n",
      "Line 4387: OLIVO\n",
      "Line 4388: NESMITH\n",
      "Line 4389: NALL\n",
      "Line 4390: MATTOS\n",
      "Line 4391: LEAK\n",
      "Line 4392: LAFFERTY\n",
      "Line 4393: JUSTUS\n",
      "Line 4394: GIRON\n",
      "Line 4395: GEER\n",
      "Line 4396: FIELDER\n",
      "Line 4397: EAGLE\n",
      "Line 4398: DRAYTON\n",
      "Line 4399: DORTCH\n",
      "Line 4400: CONNERS\n",
      "Line 4401: CONGER\n",
      "Line 4402: CHAU\n",
      "Line 4403: BOATWRIGHT\n",
      "Line 4404: BILLIOT\n",
      "Line 4405: BARDEN\n",
      "Line 4406: ARMENTA\n",
      "Line 4407: ANTOINE\n",
      "Line 4408: TIBBETTS\n",
      "Line 4409: STEADMAN\n",
      "Line 4410: SLATTERY\n",
      "Line 4411: SIDES\n",
      "Line 4412: RINALDI\n",
      "Line 4413: RAYNOR\n",
      "Line 4414: RAYFORD\n",
      "Line 4415: PINCKNEY\n",
      "Line 4416: PETTIGREW\n",
      "Line 4417: NICKEL\n",
      "Line 4418: MILNE\n",
      "Line 4419: MATTESON\n",
      "Line 4420: HALSEY\n",
      "Line 4421: GONSALVES\n",
      "Line 4422: FELLOWS\n",
      "Line 4423: DURAND\n",
      "Line 4424: DESIMONE\n",
      "Line 4425: COWLEY\n",
      "Line 4426: COWLES\n",
      "Line 4427: BRILL\n",
      "Line 4428: BARHAM\n",
      "Line 4429: BARELA\n",
      "Line 4430: BARBA\n",
      "Line 4431: ASHMORE\n",
      "Line 4432: WITHROW\n",
      "Line 4433: VALENTI\n",
      "Line 4434: TEJEDA\n",
      "Line 4435: SPRIGGS\n",
      "Line 4436: SAYRE\n",
      "Line 4437: SALERNO\n",
      "Line 4438: PLACE\n",
      "Line 4439: PELTIER\n",
      "Line 4440: PEEL\n",
      "Line 4441: MERRIMAN\n",
      "Line 4442: MATHESON\n",
      "Line 4443: LOWMAN\n",
      "Line 4444: LINDSTROM\n",
      "Line 4445: HYLAND\n",
      "Line 4446: HOMER\n",
      "Line 4447: HA\n",
      "Line 4448: GIROUX\n",
      "Line 4449: FRIES\n",
      "Line 4450: FRASIER\n",
      "Line 4451: EARLS\n",
      "Line 4452: DUGAS\n",
      "Line 4453: DAMON\n",
      "Line 4454: DABNEY\n",
      "Line 4455: COLLADO\n",
      "Line 4456: BRISENO\n",
      "Line 4457: BAXLEY\n",
      "Line 4458: ANDRE\n",
      "Line 4459: WORD\n",
      "Line 4460: WHYTE\n",
      "Line 4461: WENGER\n",
      "Line 4462: VANOVER\n",
      "Line 4463: VANBUREN\n",
      "Line 4464: THIEL\n",
      "Line 4465: SCHINDLER\n",
      "Line 4466: SCHILLER\n",
      "Line 4467: RIGBY\n",
      "Line 4468: POMEROY\n",
      "Line 4469: PASSMORE\n",
      "Line 4470: MARBLE\n",
      "Line 4471: MANZO\n",
      "Line 4472: MAHAFFEY\n",
      "Line 4473: LINDGREN\n",
      "Line 4474: LAFLAMME\n",
      "Line 4475: GREATHOUSE\n",
      "Line 4476: FITE\n",
      "Line 4477: FERRARI\n",
      "Line 4478: CALABRESE\n",
      "Line 4479: BAYNE\n",
      "Line 4480: YAMAMOTO\n",
      "Line 4481: WICK\n",
      "Line 4482: TOWNES\n",
      "Line 4483: THAMES\n",
      "Line 4484: STEEL\n",
      "Line 4485: REINHART\n",
      "Line 4486: PEELER\n",
      "Line 4487: NARANJO\n",
      "Line 4488: MONTEZ\n",
      "Line 4489: MCDADE\n",
      "Line 4490: MAST\n",
      "Line 4491: MARKLEY\n",
      "Line 4492: MARCHAND\n",
      "Line 4493: LEEPER\n",
      "Line 4494: KONG\n",
      "Line 4495: KELLUM\n",
      "Line 4496: HUDGENS\n",
      "Line 4497: HENNESSEY\n",
      "Line 4498: HADDEN\n",
      "Line 4499: GUESS\n",
      "Line 4500: GAINEY\n",
      "Line 4501: COPPOLA\n",
      "Line 4502: BORREGO\n",
      "Line 4503: BOLLING\n",
      "Line 4504: BEANE\n",
      "Line 4505: AULT\n",
      "Line 4506: SLATON\n",
      "Line 4507: POLAND\n",
      "Line 4508: PAPE\n",
      "Line 4509: NULL\n",
      "Line 4510: MULKEY\n",
      "Line 4511: LIGHTNER\n",
      "Line 4512: LANGER\n",
      "Line 4513: HILLARD\n",
      "Line 4514: GLASGOW\n",
      "Line 4515: FABIAN\n",
      "Line 4516: ETHRIDGE\n",
      "Line 4517: ENRIGHT\n",
      "Line 4518: DEROSA\n",
      "Line 4519: BASKIN\n",
      "Line 4520: ALFRED\n",
      "Line 4521: WEINBERG\n",
      "Line 4522: TURMAN\n",
      "Line 4523: TINKER\n",
      "Line 4524: SOMERVILLE\n",
      "Line 4525: PARDO\n",
      "Line 4526: NOLL\n",
      "Line 4527: LASHLEY\n",
      "Line 4528: INGRAHAM\n",
      "Line 4529: HILLER\n",
      "Line 4530: HENDON\n",
      "Line 4531: GLAZE\n",
      "Line 4532: FLORA\n",
      "Line 4533: COTHRAN\n",
      "Line 4534: COOKSEY\n",
      "Line 4535: CONTE\n",
      "Line 4536: CARRICO\n",
      "Line 4537: APPLE\n",
      "Line 4538: ABNER\n",
      "Line 4539: WOOLEY\n",
      "Line 4540: SWOPE\n",
      "Line 4541: SUMMERLIN\n",
      "Line 4542: STURGIS\n",
      "Line 4543: STURDIVANT\n",
      "Line 4544: STOTT\n",
      "Line 4545: SPURGEON\n",
      "Line 4546: SPILLMAN\n",
      "Line 4547: SPEIGHT\n",
      "Line 4548: ROUSSEL\n",
      "Line 4549: POPP\n",
      "Line 4550: NUTTER\n",
      "Line 4551: MCKEON\n",
      "Line 4552: MAZZA\n",
      "Line 4553: MAGNUSON\n",
      "Line 4554: LANNING\n",
      "Line 4555: KOZAK\n",
      "Line 4556: JANKOWSKI\n",
      "Line 4557: HEYWARD\n",
      "Line 4558: FORSTER\n",
      "Line 4559: CORWIN\n",
      "Line 4560: CALLAGHAN\n",
      "Line 4561: BAYS\n",
      "Line 4562: WORTHAM\n",
      "Line 4563: USHER\n",
      "Line 4564: THERIOT\n",
      "Line 4565: SAYERS\n",
      "Line 4566: SABO\n",
      "Line 4567: RUPERT\n",
      "Line 4568: POLING\n",
      "Line 4569: NATHAN\n",
      "Line 4570: LOYA\n",
      "Line 4571: LIEBERMAN\n",
      "Line 4572: LEVI\n",
      "Line 4573: LAROCHE\n",
      "Line 4574: LABELLE\n",
      "Line 4575: HOWES\n",
      "Line 4576: HARR\n",
      "Line 4577: GARAY\n",
      "Line 4578: FOGARTY\n",
      "Line 4579: EVERSON\n",
      "Line 4580: DURKIN\n",
      "Line 4581: DOMINQUEZ\n",
      "Line 4582: CHAVES\n",
      "Line 4583: CHAMBLISS\n",
      "Line 4584: ALFONSO\n",
      "Line 4585: WITCHER\n",
      "Line 4586: WILBER\n",
      "Line 4587: VIEIRA\n",
      "Line 4588: VANDIVER\n",
      "Line 4589: TERRILL\n",
      "Line 4590: STOKER\n",
      "Line 4591: SCHREINER\n",
      "Line 4592: NESTOR\n",
      "Line 4593: MOORMAN\n",
      "Line 4594: LIDDELL\n",
      "Line 4595: LEW\n",
      "Line 4596: LAWHORN\n",
      "Line 4597: KRUG\n",
      "Line 4598: IRONS\n",
      "Line 4599: HYLTON\n",
      "Line 4600: HOLLENBECK\n",
      "Line 4601: HERRIN\n",
      "Line 4602: HEMBREE\n",
      "Line 4603: HAIR\n",
      "Line 4604: GOOLSBY\n",
      "Line 4605: GOODIN\n",
      "Line 4606: GILMER\n",
      "Line 4607: FOLTZ\n",
      "Line 4608: DINKINS\n",
      "Line 4609: DAUGHTRY\n",
      "Line 4610: CABAN\n",
      "Line 4611: BRIM\n",
      "Line 4612: BRILEY\n",
      "Line 4613: BILODEAU\n",
      "Line 4614: BEAR\n",
      "Line 4615: WYANT\n",
      "Line 4616: VERGARA\n",
      "Line 4617: TALLENT\n",
      "Line 4618: SWEARINGEN\n",
      "Line 4619: STROUP\n",
      "Line 4620: SHERRY\n",
      "Line 4621: SCRIBNER\n",
      "Line 4622: ROGER\n",
      "Line 4623: QUILLEN\n",
      "Line 4624: PITMAN\n",
      "Line 4625: MONACO\n",
      "Line 4626: MCCANTS\n",
      "Line 4627: MAXFIELD\n",
      "Line 4628: MARTINSON\n",
      "Line 4629: LANDON\n",
      "Line 4630: HOLTZ\n",
      "Line 4631: FLOURNOY\n",
      "Line 4632: BROOKINS\n",
      "Line 4633: BRODY\n",
      "Line 4634: BAUMGARDNER\n",
      "Line 4635: ANGELO\n",
      "Line 4636: STRAUB\n",
      "Line 4637: SILLS\n",
      "Line 4638: ROYBAL\n",
      "Line 4639: ROUNDTREE\n",
      "Line 4640: OSWALT\n",
      "Line 4641: MONEY\n",
      "Line 4642: MCGRIFF\n",
      "Line 4643: MCDOUGALL\n",
      "Line 4644: MCCLEARY\n",
      "Line 4645: MAGGARD\n",
      "Line 4646: GRAGG\n",
      "Line 4647: GOODING\n",
      "Line 4648: GODINEZ\n",
      "Line 4649: DOOLITTLE\n",
      "Line 4650: DONATO\n",
      "Line 4651: COWELL\n",
      "Line 4652: CASSELL\n",
      "Line 4653: BRACKEN\n",
      "Line 4654: APPEL\n",
      "Line 4655: AHMAD\n",
      "Line 4656: ZAMBRANO\n",
      "Line 4657: REUTER\n",
      "Line 4658: PEREA\n",
      "Line 4659: OLIVE\n",
      "Line 4660: NAKAMURA\n",
      "Line 4661: MONAGHAN\n",
      "Line 4662: MICKENS\n",
      "Line 4663: MCCLINTON\n",
      "Line 4664: MCCLARY\n",
      "Line 4665: MARLER\n",
      "Line 4666: KISH\n",
      "Line 4667: JUDKINS\n",
      "Line 4668: GILBREATH\n",
      "Line 4669: FREESE\n",
      "Line 4670: FLANIGAN\n",
      "Line 4671: FELTS\n",
      "Line 4672: ERDMANN\n",
      "Line 4673: DODDS\n",
      "Line 4674: CHEW\n",
      "Line 4675: BROWNELL\n",
      "Line 4676: BRAZIL\n",
      "Line 4677: BOATRIGHT\n",
      "Line 4678: BARRETO\n",
      "Line 4679: SLAYTON\n",
      "Line 4680: SANDBERG\n",
      "Line 4681: SALDIVAR\n",
      "Line 4682: PETTWAY\n",
      "Line 4683: ODUM\n",
      "Line 4684: NARVAEZ\n",
      "Line 4685: MOULTRIE\n",
      "Line 4686: MONTEMAYOR\n",
      "Line 4687: MERRELL\n",
      "Line 4688: LEES\n",
      "Line 4689: KEYSER\n",
      "Line 4690: HOKE\n",
      "Line 4691: HARDAWAY\n",
      "Line 4692: HANNAN\n",
      "Line 4693: GILBERTSON\n",
      "Line 4694: FOGG\n",
      "Line 4695: DUMONT\n",
      "Line 4696: DEBERRY\n",
      "Line 4697: COGGINS\n",
      "Line 4698: CARRERA\n",
      "Line 4699: BUXTON\n",
      "Line 4700: BUCHER\n",
      "Line 4701: BROADNAX\n",
      "Line 4702: BEESON\n",
      "Line 4703: ARAUJO\n",
      "Line 4704: APPLETON\n",
      "Line 4705: AMUNDSON\n",
      "Line 4706: AGUAYO\n",
      "Line 4707: ACKLEY\n",
      "Line 4708: YOCUM\n",
      "Line 4709: WORSHAM\n",
      "Line 4710: SHIVERS\n",
      "Line 4711: SHELLY\n",
      "Line 4712: SANCHES\n",
      "Line 4713: SACCO\n",
      "Line 4714: ROBEY\n",
      "Line 4715: RHODEN\n",
      "Line 4716: PENDER\n",
      "Line 4717: OCHS\n",
      "Line 4718: MCCURRY\n",
      "Line 4719: MADERA\n",
      "Line 4720: LUONG\n",
      "Line 4721: LUIS\n",
      "Line 4722: KNOTTS\n",
      "Line 4723: JACKMAN\n",
      "Line 4724: HEINRICH\n",
      "Line 4725: HARGRAVE\n",
      "Line 4726: GAULT\n",
      "Line 4727: FOREST\n",
      "Line 4728: COMEAUX\n",
      "Line 4729: CHITWOOD\n",
      "Line 4730: CHILD\n",
      "Line 4731: CARAWAY\n",
      "Line 4732: BOETTCHER\n",
      "Line 4733: BERNHARDT\n",
      "Line 4734: BARRIENTOS\n",
      "Line 4735: ZINK\n",
      "Line 4736: WICKHAM\n",
      "Line 4737: WHITEMAN\n",
      "Line 4738: THORP\n",
      "Line 4739: STILLMAN\n",
      "Line 4740: SETTLES\n",
      "Line 4741: SCHOONOVER\n",
      "Line 4742: ROQUE\n",
      "Line 4743: RIDDELL\n",
      "Line 4744: REY\n",
      "Line 4745: PILCHER\n",
      "Line 4746: PHIFER\n",
      "Line 4747: NOVOTNY\n",
      "Line 4748: MAPLE\n",
      "Line 4749: MACLEOD\n",
      "Line 4750: HARDEE\n",
      "Line 4751: HAASE\n",
      "Line 4752: GRIDER\n",
      "Line 4753: FREDRICK\n",
      "Line 4754: EARNEST\n",
      "Line 4755: DOUCETTE\n",
      "Line 4756: CLAUSEN\n",
      "Line 4757: CHRISTMAS\n",
      "Line 4758: BEVINS\n",
      "Line 4759: BEAMON\n",
      "Line 4760: BADILLO\n",
      "Line 4761: TOLLEY\n",
      "Line 4762: TINDALL\n",
      "Line 4763: SOULE\n",
      "Line 4764: SNOOK\n",
      "Line 4765: SEBASTIAN\n",
      "Line 4766: SEALE\n",
      "Line 4767: PITCHER\n",
      "Line 4768: PINKNEY\n",
      "Line 4769: PELLEGRINO\n",
      "Line 4770: NOWELL\n",
      "Line 4771: NEMETH\n",
      "Line 4772: NAIL\n",
      "Line 4773: MONDRAGON\n",
      "Line 4774: MCLANE\n",
      "Line 4775: LUNDGREN\n",
      "Line 4776: INGALLS\n",
      "Line 4777: HUDSPETH\n",
      "Line 4778: HIXSON\n",
      "Line 4779: GEARHART\n",
      "Line 4780: FURLONG\n",
      "Line 4781: DOWNES\n",
      "Line 4782: DIONNE\n",
      "Line 4783: DIBBLE\n",
      "Line 4784: DEYOUNG\n",
      "Line 4785: CORNEJO\n",
      "Line 4786: CAMARA\n",
      "Line 4787: BROOKSHIRE\n",
      "Line 4788: BOYETTE\n",
      "Line 4789: WOLCOTT\n",
      "Line 4790: TRACEY\n",
      "Line 4791: SURRATT\n",
      "Line 4792: SELLARS\n",
      "Line 4793: SEGAL\n",
      "Line 4794: SALYER\n",
      "Line 4795: REEVE\n",
      "Line 4796: RAUSCH\n",
      "Line 4797: PHILIPS\n",
      "Line 4798: LABONTE\n",
      "Line 4799: HARO\n",
      "Line 4800: GOWER\n",
      "Line 4801: FREELAND\n",
      "Line 4802: FAWCETT\n",
      "Line 4803: EADS\n",
      "Line 4804: DRIGGERS\n",
      "Line 4805: DONLEY\n",
      "Line 4806: COLLETT\n",
      "Line 4807: CAGE\n",
      "Line 4808: BROMLEY\n",
      "Line 4809: BOATMAN\n",
      "Line 4810: BALLINGER\n",
      "Line 4811: BALDRIDGE\n",
      "Line 4812: VOLZ\n",
      "Line 4813: TROMBLEY\n",
      "Line 4814: STONGE\n",
      "Line 4815: SILAS\n",
      "Line 4816: SHANAHAN\n",
      "Line 4817: RIVARD\n",
      "Line 4818: RHYNE\n",
      "Line 4819: PEDROZA\n",
      "Line 4820: MATIAS\n",
      "Line 4821: MALLARD\n",
      "Line 4822: JAMIESON\n",
      "Line 4823: HEDGEPETH\n",
      "Line 4824: HARTNETT\n",
      "Line 4825: ESTEVEZ\n",
      "Line 4826: ESKRIDGE\n",
      "Line 4827: DENMAN\n",
      "Line 4828: CHIU\n",
      "Line 4829: CHINN\n",
      "Line 4830: CATLETT\n",
      "Line 4831: CARMACK\n",
      "Line 4832: BUIE\n",
      "Line 4833: BOOK\n",
      "Line 4834: BECHTEL\n",
      "Line 4835: BEARDSLEY\n",
      "Line 4836: BARD\n",
      "Line 4837: BALLOU\n",
      "Line 4838: WINDSOR\n",
      "Line 4839: ULMER\n",
      "Line 4840: STORM\n",
      "Line 4841: SKEEN\n",
      "Line 4842: ROBLEDO\n",
      "Line 4843: RINCON\n",
      "Line 4844: REITZ\n",
      "Line 4845: PIAZZA\n",
      "Line 4846: PEARL\n",
      "Line 4847: MUNGER\n",
      "Line 4848: MOTEN\n",
      "Line 4849: MCMICHAEL\n",
      "Line 4850: LOFTUS\n",
      "Line 4851: LEDET\n",
      "Line 4852: KERSEY\n",
      "Line 4853: GROFF\n",
      "Line 4854: FOWLKES\n",
      "Line 4855: FOLK\n",
      "Line 4856: CRUMPTON\n",
      "Line 4857: COLLETTE\n",
      "Line 4858: CLOUSE\n",
      "Line 4859: BETTIS\n",
      "Line 4860: VILLAGOMEZ\n",
      "Line 4861: TIMMERMAN\n",
      "Line 4862: STROM\n",
      "Line 4863: SAUL\n",
      "Line 4864: SANTORO\n",
      "Line 4865: RODDY\n",
      "Line 4866: PHILLIP\n",
      "Line 4867: PENROD\n",
      "Line 4868: MUSSELMAN\n",
      "Line 4869: MACPHERSON\n",
      "Line 4870: LEBOEUF\n",
      "Line 4871: HARLESS\n",
      "Line 4872: HADDAD\n",
      "Line 4873: GUIDO\n",
      "Line 4874: GOLDING\n",
      "Line 4875: FULKERSON\n",
      "Line 4876: FANNIN\n",
      "Line 4877: DULANEY\n",
      "Line 4878: DOWDELL\n",
      "Line 4879: DEANE\n",
      "Line 4880: COTTLE\n",
      "Line 4881: CEJA\n",
      "Line 4882: CATE\n",
      "Line 4883: BOSLEY\n",
      "Line 4884: BENGE\n",
      "Line 4885: ALBRITTON\n",
      "Line 4886: VOIGT\n",
      "Line 4887: TROWBRIDGE\n",
      "Line 4888: SOILEAU\n",
      "Line 4889: SEELY\n",
      "Line 4890: ROME\n",
      "Line 4891: ROHDE\n",
      "Line 4892: PEARSALL\n",
      "Line 4893: PAULK\n",
      "Line 4894: ORTH\n",
      "Line 4895: NASON\n",
      "Line 4896: MOTA\n",
      "Line 4897: MCMULLIN\n",
      "Line 4898: MARQUARDT\n",
      "Line 4899: MADIGAN\n",
      "Line 4900: HOAG\n",
      "Line 4901: GILLUM\n",
      "Line 4902: GAYLE\n",
      "Line 4903: GABBARD\n",
      "Line 4904: FENWICK\n",
      "Line 4905: FENDER\n",
      "Line 4906: ECK\n",
      "Line 4907: DANFORTH\n",
      "Line 4908: CUSHING\n",
      "Line 4909: CRESS\n",
      "Line 4910: CREED\n",
      "Line 4911: CAZARES\n",
      "Line 4912: CASANOVA\n",
      "Line 4913: BEY\n",
      "Line 4914: BETTENCOURT\n",
      "Line 4915: BARRINGER\n",
      "Line 4916: BABER\n",
      "Line 4917: STANSBERRY\n",
      "Line 4918: SCHRAMM\n",
      "Line 4919: RUTTER\n",
      "Line 4920: RIVERO\n",
      "Line 4921: RACE\n",
      "Line 4922: OQUENDO\n",
      "Line 4923: NECAISE\n",
      "Line 4924: MOUTON\n",
      "Line 4925: MONTENEGRO\n",
      "Line 4926: MILEY\n",
      "Line 4927: MCGOUGH\n",
      "Line 4928: MARRA\n",
      "Line 4929: MACMILLAN\n",
      "Line 4930: LOCK\n",
      "Line 4931: LAMONTAGNE\n",
      "Line 4932: JASSO\n",
      "Line 4933: JAIME\n",
      "Line 4934: HORST\n",
      "Line 4935: HETRICK\n",
      "Line 4936: HEILMAN\n",
      "Line 4937: GAYTAN\n",
      "Line 4938: GALL\n",
      "Line 4939: FRIED\n",
      "Line 4940: FORTNEY\n",
      "Line 4941: EDEN\n",
      "Line 4942: DINGLE\n",
      "Line 4943: DESJARDINS\n",
      "Line 4944: DABBS\n",
      "Line 4945: BURBANK\n",
      "Line 4946: BRIGHAM\n",
      "Line 4947: BRELAND\n",
      "Line 4948: BEAMAN\n",
      "Line 4949: BANNER\n",
      "Line 4950: ARRIOLA\n",
      "Line 4951: YARBOROUGH\n",
      "Line 4952: WALLIN\n",
      "Line 4953: TREAT\n",
      "Line 4954: TOSCANO\n",
      "Line 4955: STOWERS\n",
      "Line 4956: REISS\n",
      "Line 4957: PICHARDO\n",
      "Line 4958: ORTON\n",
      "Line 4959: MITCHEL\n",
      "Line 4960: MICHELS\n",
      "Line 4961: MCNAMEE\n",
      "Line 4962: MCCRORY\n",
      "Line 4963: LEATHERMAN\n",
      "Line 4964: KELL\n",
      "Line 4965: KEISTER\n",
      "Line 4966: JEROME\n",
      "Line 4967: HORNING\n",
      "Line 4968: HARGETT\n",
      "Line 4969: GUAY\n",
      "Line 4970: FRIDAY\n",
      "Line 4971: FERRO\n",
      "Line 4972: DEBOER\n",
      "Line 4973: DAGOSTINO\n",
      "Line 4974: CLEMENTE\n",
      "Line 4975: CHRIST\n",
      "Line 4976: CARPER\n",
      "Line 4977: BOWLER\n",
      "Line 4978: BLANKS\n",
      "Line 4979: BEAUDRY\n",
      "Line 4980: WILLIE\n",
      "Line 4981: TOWLE\n",
      "Line 4982: TAFOYA\n",
      "Line 4983: STRICKLIN\n",
      "Line 4984: STRADER\n",
      "Line 4985: SOPER\n",
      "Line 4986: SONNIER\n",
      "Line 4987: SIGMON\n",
      "Line 4988: SCHENK\n",
      "Line 4989: SADDLER\n",
      "Line 4990: RODMAN\n",
      "Line 4991: PEDIGO\n",
      "Line 4992: MENDES\n",
      "Line 4993: LUNN\n",
      "Line 4994: LOHR\n",
      "Line 4995: LAHR\n",
      "Line 4996: KINGSBURY\n",
      "Line 4997: JARMAN\n",
      "Line 4998: HUME\n",
      "Line 4999: HOLLIMAN\n",
      "Line 5000: HOFMANN\n",
      "Line 5001: HAWORTH\n",
      "Line 5002: HARRELSON\n",
      "Line 5003: HAMBRICK\n",
      "Line 5004: FLICK\n",
      "Line 5005: EDMUNDS\n",
      "Line 5006: DACOSTA\n",
      "Line 5007: CROSSMAN\n",
      "Line 5008: COLSTON\n",
      "Line 5009: CHAPLIN\n",
      "Line 5010: CARRELL\n",
      "Line 5011: BUDD\n",
      "Line 5012: WEILER\n",
      "Line 5013: WAITS\n",
      "Line 5014: VIOLA\n",
      "Line 5015: VALENTINO\n",
      "Line 5016: TRANTHAM\n",
      "Line 5017: TARR\n",
      "Line 5018: STRAIGHT\n",
      "Line 5019: SOLORIO\n",
      "Line 5020: ROEBUCK\n",
      "Line 5021: POWE\n",
      "Line 5022: PLANK\n",
      "Line 5023: PETTUS\n",
      "Line 5024: PALM\n",
      "Line 5025: PAGANO\n",
      "Line 5026: MINK\n",
      "Line 5027: LUKER\n",
      "Line 5028: LEATHERS\n",
      "Line 5029: JOSLIN\n",
      "Line 5030: HARTZELL\n",
      "Line 5031: GAMBRELL\n",
      "Line 5032: FEARS\n",
      "Line 5033: DEUTSCH\n",
      "Line 5034: CEPEDA\n",
      "Line 5035: CARTY\n",
      "Line 5036: CAPUTO\n",
      "Line 5037: BREWINGTON\n",
      "Line 5038: BEDELL\n",
      "Line 5039: BALLEW\n",
      "Line 5040: APPLEWHITE\n",
      "Line 5041: WARNOCK\n",
      "Line 5042: WALZ\n",
      "Line 5043: URENA\n",
      "Line 5044: TUDOR\n",
      "Line 5045: REEL\n",
      "Line 5046: PIGG\n",
      "Line 5047: PARTON\n",
      "Line 5048: MICKELSON\n",
      "Line 5049: MEAGHER\n",
      "Line 5050: MCLELLAN\n",
      "Line 5051: MCCULLEY\n",
      "Line 5052: MANDEL\n",
      "Line 5053: LEECH\n",
      "Line 5054: LAVALLEE\n",
      "Line 5055: KRAEMER\n",
      "Line 5056: KLING\n",
      "Line 5057: KIPP\n",
      "Line 5058: KINGSTON\n",
      "Line 5059: KEHOE\n",
      "Line 5060: HOCHSTETLER\n",
      "Line 5061: HARRIMAN\n",
      "Line 5062: GREGOIRE\n",
      "Line 5063: GRABOWSKI\n",
      "Line 5064: GOSSELIN\n",
      "Line 5065: GAMMON\n",
      "Line 5066: FANCHER\n",
      "Line 5067: EDENS\n",
      "Line 5068: DESAI\n",
      "Line 5069: BUTT\n",
      "Line 5070: BRANNAN\n",
      "Line 5071: ARMENDARIZ\n",
      "Line 5072: WOOLSEY\n",
      "Line 5073: WHITEHOUSE\n",
      "Line 5074: WHETSTONE\n",
      "Line 5075: USSERY\n",
      "Line 5076: TOWNE\n",
      "Line 5077: TOWER\n",
      "Line 5078: TESTA\n",
      "Line 5079: TALLMAN\n",
      "Line 5080: STUDER\n",
      "Line 5081: STRAIT\n",
      "Line 5082: STEINMETZ\n",
      "Line 5083: SORRELLS\n",
      "Line 5084: SAUCEDA\n",
      "Line 5085: ROLFE\n",
      "Line 5086: RAE\n",
      "Line 5087: PADDOCK\n",
      "Line 5088: MITCHEM\n",
      "Line 5089: MCGINN\n",
      "Line 5090: MCCREA\n",
      "Line 5091: LUCK\n",
      "Line 5092: LOVATO\n",
      "Line 5093: LING\n",
      "Line 5094: HAZEN\n",
      "Line 5095: GILPIN\n",
      "Line 5096: GAYNOR\n",
      "Line 5097: FIKE\n",
      "Line 5098: DEVOE\n",
      "Line 5099: DELRIO\n",
      "Line 5100: CURIEL\n",
      "Line 5101: BURKHARDT\n",
      "Line 5102: BRISTOL\n",
      "Line 5103: BODE\n",
      "Line 5104: BACKUS\n",
      "Line 5105: ALTON\n",
      "Line 5106: ZINN\n",
      "Line 5107: WATANABE\n",
      "Line 5108: WACHTER\n",
      "Line 5109: VANPELT\n",
      "Line 5110: TURNAGE\n",
      "Line 5111: SHANER\n",
      "Line 5112: SCHRODER\n",
      "Line 5113: SATO\n",
      "Line 5114: RIORDAN\n",
      "Line 5115: QUIMBY\n",
      "Line 5116: PORTIS\n",
      "Line 5117: NATALE\n",
      "Line 5118: MCKOY\n",
      "Line 5119: MCCOWN\n",
      "Line 5120: MARKER\n",
      "Line 5121: LUCIO\n",
      "Line 5122: KILMER\n",
      "Line 5123: KARL\n",
      "Line 5124: HOTCHKISS\n",
      "Line 5125: HESSE\n",
      "Line 5126: HALBERT\n",
      "Line 5127: GWINN\n",
      "Line 5128: GODSEY\n",
      "Line 5129: DESMOND\n",
      "Line 5130: DELISLE\n",
      "Line 5131: CHRISMAN\n",
      "Line 5132: CANTER\n",
      "Line 5133: BROOK\n",
      "Line 5134: ARBOGAST\n",
      "Line 5135: ANGELL\n",
      "Line 5136: ACREE\n",
      "Line 5137: YANCY\n",
      "Line 5138: WOOLLEY\n",
      "Line 5139: WESSON\n",
      "Line 5140: WEATHERSPOON\n",
      "Line 5141: TRAINOR\n",
      "Line 5142: STOCKMAN\n",
      "Line 5143: SPILLER\n",
      "Line 5144: SIPE\n",
      "Line 5145: ROOKS\n",
      "Line 5146: REAVIS\n",
      "Line 5147: PROPST\n",
      "Line 5148: PORRAS\n",
      "Line 5149: NEILSON\n",
      "Line 5150: MULLENS\n",
      "Line 5151: LOUCKS\n",
      "Line 5152: LLEWELLYN\n",
      "Line 5153: LAMONT\n",
      "Line 5154: KUMAR\n",
      "Line 5155: KOESTER\n",
      "Line 5156: KLINGENSMITH\n",
      "Line 5157: KIRSCH\n",
      "Line 5158: KESTER\n",
      "Line 5159: HONAKER\n",
      "Line 5160: HODSON\n",
      "Line 5161: HENNESSY\n",
      "Line 5162: HELMICK\n",
      "Line 5163: GARRITY\n",
      "Line 5164: GARIBAY\n",
      "Line 5165: FEE\n",
      "Line 5166: DRAIN\n",
      "Line 5167: CASAREZ\n",
      "Line 5168: CALLIS\n",
      "Line 5169: BOTELLO\n",
      "Line 5170: BAY\n",
      "Line 5171: AYCOCK\n",
      "Line 5172: AVANT\n",
      "Line 5173: ANGLE\n",
      "Line 5174: WINGARD\n",
      "Line 5175: WAYMAN\n",
      "Line 5176: TULLY\n",
      "Line 5177: THEISEN\n",
      "Line 5178: SZYMANSKI\n",
      "Line 5179: STANSBURY\n",
      "Line 5180: SEGOVIA\n",
      "Line 5181: RUDY\n",
      "Line 5182: RAINWATER\n",
      "Line 5183: PREECE\n",
      "Line 5184: PIRTLE\n",
      "Line 5185: PADRON\n",
      "Line 5186: MINCEY\n",
      "Line 5187: MCKELVEY\n",
      "Line 5188: MATHES\n",
      "Line 5189: MARTY\n",
      "Line 5190: LARRABEE\n",
      "Line 5191: KORNEGAY\n",
      "Line 5192: KLUG\n",
      "Line 5193: JUDY\n",
      "Line 5194: INGERSOLL\n",
      "Line 5195: HECHT\n",
      "Line 5196: GERMAIN\n",
      "Line 5197: EGGERS\n",
      "Line 5198: DYKSTRA\n",
      "Line 5199: DENIS\n",
      "Line 5200: DEERING\n",
      "Line 5201: DECOTEAU\n",
      "Line 5202: DEASON\n",
      "Line 5203: DEARING\n",
      "Line 5204: COFIELD\n",
      "Line 5205: CARRIGAN\n",
      "Line 5206: BRUSH\n",
      "Line 5207: BONHAM\n",
      "Line 5208: BAHR\n",
      "Line 5209: AUCOIN\n",
      "Line 5210: APPLEBY\n",
      "Line 5211: ALMONTE\n",
      "Line 5212: YAGER\n",
      "Line 5213: WOMBLE\n",
      "Line 5214: WIMMER\n",
      "Line 5215: WEIMER\n",
      "Line 5216: VANDERPOOL\n",
      "Line 5217: STANCIL\n",
      "Line 5218: SPRINKLE\n",
      "Line 5219: ROMINE\n",
      "Line 5220: REMINGTON\n",
      "Line 5221: PFAFF\n",
      "Line 5222: PECKHAM\n",
      "Line 5223: OLIVERA\n",
      "Line 5224: MERAZ\n",
      "Line 5225: MAZE\n",
      "Line 5226: LATHROP\n",
      "Line 5227: KOEHN\n",
      "Line 5228: JONAS\n",
      "Line 5229: HAZELTON\n",
      "Line 5230: HALVORSON\n",
      "Line 5231: HALLOCK\n",
      "Line 5232: HADDOCK\n",
      "Line 5233: DUCHARME\n",
      "Line 5234: DEHAVEN\n",
      "Line 5235: COLTON\n",
      "Line 5236: CARUTHERS\n",
      "Line 5237: BREHM\n",
      "Line 5238: BOSWORTH\n",
      "Line 5239: BOST\n",
      "Line 5240: BLOW\n",
      "Line 5241: BIAS\n",
      "Line 5242: BEEMAN\n",
      "Line 5243: BASILE\n",
      "Line 5244: BANE\n",
      "Line 5245: AIKENS\n",
      "Line 5246: ZACHARY\n",
      "Line 5247: WOLD\n",
      "Line 5248: WALTHER\n",
      "Line 5249: TABB\n",
      "Line 5250: SUBER\n",
      "Line 5251: STRAWN\n",
      "Line 5252: STOCKS\n",
      "Line 5253: STOCKER\n",
      "Line 5254: SHIREY\n",
      "Line 5255: SCHLOSSER\n",
      "Line 5256: SALVADOR\n",
      "Line 5257: RIEDEL\n",
      "Line 5258: REMBERT\n",
      "Line 5259: REIMER\n",
      "Line 5260: PYLES\n",
      "Line 5261: PICKLE\n",
      "Line 5262: PEELE\n",
      "Line 5263: MERRIWEATHER\n",
      "Line 5264: LETOURNEAU\n",
      "Line 5265: LATTA\n",
      "Line 5266: KIDDER\n",
      "Line 5267: HIXON\n",
      "Line 5268: HILLIS\n",
      "Line 5269: HIGHT\n",
      "Line 5270: HERBST\n",
      "Line 5271: HENRIQUEZ\n",
      "Line 5272: HAYGOOD\n",
      "Line 5273: HAMILL\n",
      "Line 5274: GABEL\n",
      "Line 5275: FRITTS\n",
      "Line 5276: EUBANK\n",
      "Line 5277: DUTY\n",
      "Line 5278: DAWES\n",
      "Line 5279: CORRELL\n",
      "Line 5280: COFFEE\n",
      "Line 5281: CHA\n",
      "Line 5282: BUSHEY\n",
      "Line 5283: BUCHHOLZ\n",
      "Line 5284: BROTHERTON\n",
      "Line 5285: BRIDGE\n",
      "Line 5286: BOTTS\n",
      "Line 5287: BARNWELL\n",
      "Line 5288: AUGER\n",
      "Line 5289: ATCHLEY\n",
      "Line 5290: WESTPHAL\n",
      "Line 5291: VEILLEUX\n",
      "Line 5292: ULLOA\n",
      "Line 5293: TRUMAN\n",
      "Line 5294: STUTZMAN\n",
      "Line 5295: SHRIVER\n",
      "Line 5296: RYALS\n",
      "Line 5297: PRIOR\n",
      "Line 5298: PILKINGTON\n",
      "Line 5299: NEWPORT\n",
      "Line 5300: MOYERS\n",
      "Line 5301: MIRACLE\n",
      "Line 5302: MARRS\n",
      "Line 5303: MANGRUM\n",
      "Line 5304: MADDUX\n",
      "Line 5305: LOCKARD\n",
      "Line 5306: LAING\n",
      "Line 5307: KUHL\n",
      "Line 5308: HARNEY\n",
      "Line 5309: HAMMOCK\n",
      "Line 5310: HAMLETT\n",
      "Line 5311: FELKER\n",
      "Line 5312: DOERR\n",
      "Line 5313: DEPRIEST\n",
      "Line 5314: CARRASQUILLO\n",
      "Line 5315: CAROTHERS\n",
      "Line 5316: BOGLE\n",
      "Line 5317: BLOOD\n",
      "Line 5318: BISCHOFF\n",
      "Line 5319: BERGEN\n",
      "Line 5320: ALBANESE\n",
      "Line 5321: WYCKOFF\n",
      "Line 5322: VERMILLION\n",
      "Line 5323: VANSICKLE\n",
      "Line 5324: THIBAULT\n",
      "Line 5325: TETREAULT\n",
      "Line 5326: STICKNEY\n",
      "Line 5327: SHOEMAKE\n",
      "Line 5328: RUGGIERO\n",
      "Line 5329: RAWSON\n",
      "Line 5330: RACINE\n",
      "Line 5331: PHILPOT\n",
      "Line 5332: PASCHAL\n",
      "Line 5333: MCELHANEY\n",
      "Line 5334: MATHISON\n",
      "Line 5335: LEGRAND\n",
      "Line 5336: LAPIERRE\n",
      "Line 5337: KWAN\n",
      "Line 5338: KREMER\n",
      "Line 5339: JILES\n",
      "Line 5340: HILBERT\n",
      "Line 5341: GEYER\n",
      "Line 5342: FAIRCLOTH\n",
      "Line 5343: EHLERS\n",
      "Line 5344: EGBERT\n",
      "Line 5345: DESROSIERS\n",
      "Line 5346: DALRYMPLE\n",
      "Line 5347: COTTEN\n",
      "Line 5348: CASHMAN\n",
      "Line 5349: CADENA\n",
      "Line 5350: BREEDING\n",
      "Line 5351: BOARDMAN\n",
      "Line 5352: ALCARAZ\n",
      "Line 5353: AHN\n",
      "Line 5354: WYRICK\n",
      "Line 5355: THERRIEN\n",
      "Line 5356: TANKERSLEY\n",
      "Line 5357: STRICKLER\n",
      "Line 5358: PURYEAR\n",
      "Line 5359: PLOURDE\n",
      "Line 5360: PATTISON\n",
      "Line 5361: PARDUE\n",
      "Line 5362: MILAN\n",
      "Line 5363: MCGINTY\n",
      "Line 5364: MCEVOY\n",
      "Line 5365: LANDRETH\n",
      "Line 5366: KUHNS\n",
      "Line 5367: KOON\n",
      "Line 5368: HEWETT\n",
      "Line 5369: GIDDENS\n",
      "Line 5370: EVERETTE\n",
      "Line 5371: EMERICK\n",
      "Line 5372: EADES\n",
      "Line 5373: DEANGELIS\n",
      "Line 5374: COSME\n",
      "Line 5375: CEBALLOS\n",
      "Line 5376: BIRDSONG\n",
      "Line 5377: BENHAM\n",
      "Line 5378: BEMIS\n",
      "Line 5379: ARMOUR\n",
      "Line 5380: ANGUIANO\n",
      "Line 5381: ANGELES\n",
      "Line 5382: WELBORN\n",
      "Line 5383: TSOSIE\n",
      "Line 5384: STORMS\n",
      "Line 5385: SHOUP\n",
      "Line 5386: SESSOMS\n",
      "Line 5387: SAMANIEGO\n",
      "Line 5388: ROOD\n",
      "Line 5389: ROJO\n",
      "Line 5390: RHINEHART\n",
      "Line 5391: RABY\n",
      "Line 5392: NORTHCUTT\n",
      "Line 5393: MYER\n",
      "Line 5394: MUNGUIA\n",
      "Line 5395: MOREHOUSE\n",
      "Line 5396: MORE\n",
      "Line 5397: MCDEVITT\n",
      "Line 5398: MATEO\n",
      "Line 5399: MALLETT\n",
      "Line 5400: LOZADA\n",
      "Line 5401: LEMOINE\n",
      "Line 5402: KUEHN\n",
      "Line 5403: HALLETT\n",
      "Line 5404: GRIM\n",
      "Line 5405: GILLARD\n",
      "Line 5406: GAYLOR\n",
      "Line 5407: GARMAN\n",
      "Line 5408: GALLAHER\n",
      "Line 5409: FEASTER\n",
      "Line 5410: FARIS\n",
      "Line 5411: DARROW\n",
      "Line 5412: DARDAR\n",
      "Line 5413: CONEY\n",
      "Line 5414: CARREON\n",
      "Line 5415: BYRON\n",
      "Line 5416: BRAITHWAITE\n",
      "Line 5417: BOYLAN\n",
      "Line 5418: BOYETT\n",
      "Line 5419: BORN\n",
      "Line 5420: BIXLER\n",
      "Line 5421: BIGHAM\n",
      "Line 5422: BENFORD\n",
      "Line 5423: BARRAGAN\n",
      "Line 5424: BARNUM\n",
      "Line 5425: ZUBER\n",
      "Line 5426: WYCHE\n",
      "Line 5427: WESTCOTT\n",
      "Line 5428: VINING\n",
      "Line 5429: STOLTZFUS\n",
      "Line 5430: SIMONDS\n",
      "Line 5431: SHUPE\n",
      "Line 5432: SABIN\n",
      "Line 5433: RUBLE\n",
      "Line 5434: RITTENHOUSE\n",
      "Line 5435: RICHMAN\n",
      "Line 5436: PERRONE\n",
      "Line 5437: MULHOLLAND\n",
      "Line 5438: MILLAN\n",
      "Line 5439: MEISTER\n",
      "Line 5440: MATHEW\n",
      "Line 5441: LOMELI\n",
      "Line 5442: KITE\n",
      "Line 5443: JEMISON\n",
      "Line 5444: HULETT\n",
      "Line 5445: HOLLER\n",
      "Line 5446: HICKERSON\n",
      "Line 5447: HEROLD\n",
      "Line 5448: HAZELWOOD\n",
      "Line 5449: GRIFFEN\n",
      "Line 5450: GAUSE\n",
      "Line 5451: FORDE\n",
      "Line 5452: EISENBERG\n",
      "Line 5453: DILWORTH\n",
      "Line 5454: CHARRON\n",
      "Line 5455: CHAISSON\n",
      "Line 5456: BRODIE\n",
      "Line 5457: BRISTOW\n",
      "Line 5458: BREUNIG\n",
      "Line 5459: BRACE\n",
      "Line 5460: BOUTWELL\n",
      "Line 5461: BENTZ\n",
      "Line 5462: BELK\n",
      "Line 5463: BAYLESS\n",
      "Line 5464: BATCHELDER\n",
      "Line 5465: BARAN\n",
      "Line 5466: BAEZA\n",
      "Line 5467: ZIMMERMANN\n",
      "Line 5468: WEATHERSBY\n",
      "Line 5469: VOLK\n",
      "Line 5470: TOOLE\n",
      "Line 5471: THEIS\n",
      "Line 5472: TEDESCO\n",
      "Line 5473: SHINE\n",
      "Line 5474: SEARLE\n",
      "Line 5475: SCHENCK\n",
      "Line 5476: SATTERWHITE\n",
      "Line 5477: SANDY\n",
      "Line 5478: RUELAS\n",
      "Line 5479: ROYCE\n",
      "Line 5480: RANKINS\n",
      "Line 5481: PARTIDA\n",
      "Line 5482: NESBIT\n",
      "Line 5483: MOREL\n",
      "Line 5484: MENCHACA\n",
      "Line 5485: LEVASSEUR\n",
      "Line 5486: KAYLOR\n",
      "Line 5487: JOHNSTONE\n",
      "Line 5488: HULSE\n",
      "Line 5489: HOLLAR\n",
      "Line 5490: HERSEY\n",
      "Line 5491: HARRIGAN\n",
      "Line 5492: HARBISON\n",
      "Line 5493: GUYER\n",
      "Line 5494: GISH\n",
      "Line 5495: GIESE\n",
      "Line 5496: GERLACH\n",
      "Line 5497: GELLER\n",
      "Line 5498: GEISLER\n",
      "Line 5499: FALCONE\n",
      "Line 5500: ERNEST\n",
      "Line 5501: ELWELL\n",
      "Line 5502: DOUCET\n",
      "Line 5503: DEESE\n",
      "Line 5504: DARR\n",
      "Line 5505: CORDER\n",
      "Line 5506: CHAFIN\n",
      "Line 5507: BYLER\n",
      "Line 5508: BUSSELL\n",
      "Line 5509: BURDETT\n",
      "Line 5510: BRASHER\n",
      "Line 5511: BOWE\n",
      "Line 5512: BELLINGER\n",
      "Line 5513: BASTIAN\n",
      "Line 5514: BARNER\n",
      "Line 5515: ALLEYNE\n",
      "Line 5516: WILBORN\n",
      "Line 5517: WEIL\n",
      "Line 5518: WEGNER\n",
      "Line 5519: WALES\n",
      "Line 5520: TATRO\n",
      "Line 5521: SPITZER\n",
      "Line 5522: SMITHERS\n",
      "Line 5523: SCHOEN\n",
      "Line 5524: RESENDEZ\n",
      "Line 5525: PETE\n",
      "Line 5526: PARISI\n",
      "Line 5527: OVERMAN\n",
      "Line 5528: OBRIAN\n",
      "Line 5529: MUDD\n",
      "Line 5530: MOY\n",
      "Line 5531: MCLAREN\n",
      "Line 5532: MAHLER\n",
      "Line 5533: MAGGIO\n",
      "Line 5534: LINDNER\n",
      "Line 5535: LALONDE\n",
      "Line 5536: LACASSE\n",
      "Line 5537: LABOY\n",
      "Line 5538: KILLION\n",
      "Line 5539: KAHL\n",
      "Line 5540: JESSEN\n",
      "Line 5541: JAMERSON\n",
      "Line 5542: HOUK\n",
      "Line 5543: HENSHAW\n",
      "Line 5544: GUSTIN\n",
      "Line 5545: GROOM\n",
      "Line 5546: GRABER\n",
      "Line 5547: DURST\n",
      "Line 5548: DUENAS\n",
      "Line 5549: DAVEY\n",
      "Line 5550: CUNDIFF\n",
      "Line 5551: CONLON\n",
      "Line 5552: COLUNGA\n",
      "Line 5553: COAKLEY\n",
      "Line 5554: CHILES\n",
      "Line 5555: CAPERS\n",
      "Line 5556: BUELL\n",
      "Line 5557: BRICKER\n",
      "Line 5558: BISSONNETTE\n",
      "Line 5559: BIRMINGHAM\n",
      "Line 5560: BARTZ\n",
      "Line 5561: BAGBY\n",
      "Line 5562: ZAYAS\n",
      "Line 5563: VOLPE\n",
      "Line 5564: TREECE\n",
      "Line 5565: TOOMBS\n",
      "Line 5566: THOM\n",
      "Line 5567: TERRAZAS\n",
      "Line 5568: SWINNEY\n",
      "Line 5569: SKILES\n",
      "Line 5570: SILVEIRA\n",
      "Line 5571: SHOUSE\n",
      "Line 5572: SENN\n",
      "Line 5573: RAMBO\n",
      "Line 5574: RAMAGE\n",
      "Line 5575: NEZ\n",
      "Line 5576: MOUA\n",
      "Line 5577: MARLIN\n",
      "Line 5578: MALIK\n",
      "Line 5579: LANGHAM\n",
      "Line 5580: KYLES\n",
      "Line 5581: HOLSTON\n",
      "Line 5582: HOAGLAND\n",
      "Line 5583: HERD\n",
      "Line 5584: HECTOR\n",
      "Line 5585: FELLER\n",
      "Line 5586: EMORY\n",
      "Line 5587: DENISON\n",
      "Line 5588: CORLISS\n",
      "Line 5589: CARRAWAY\n",
      "Line 5590: BURFORD\n",
      "Line 5591: BICKEL\n",
      "Line 5592: AMBRIZ\n",
      "Line 5593: ABERCROMBIE\n",
      "Line 5594: YAMADA\n",
      "Line 5595: WINNER\n",
      "Line 5596: WEIDNER\n",
      "Line 5597: WADDLE\n",
      "Line 5598: VERDUZCO\n",
      "Line 5599: THURMOND\n",
      "Line 5600: SWINDLE\n",
      "Line 5601: SCHROCK\n",
      "Line 5602: SANABRIA\n",
      "Line 5603: ROSENBERGER\n",
      "Line 5604: PROBST\n",
      "Line 5605: PEABODY\n",
      "Line 5606: OLINGER\n",
      "Line 5607: NEIGHBORS\n",
      "Line 5608: NAZARIO\n",
      "Line 5609: MCCAFFERTY\n",
      "Line 5610: MCBROOM\n",
      "Line 5611: MCABEE\n",
      "Line 5612: MAZUR\n",
      "Line 5613: MATHERNE\n",
      "Line 5614: MAPES\n",
      "Line 5615: LEVERETT\n",
      "Line 5616: KILLINGSWORTH\n",
      "Line 5617: HEISLER\n",
      "Line 5618: GRIEGO\n",
      "Line 5619: GRANDE\n",
      "Line 5620: GOSNELL\n",
      "Line 5621: FRANKEL\n",
      "Line 5622: FRANKE\n",
      "Line 5623: FERRANTE\n",
      "Line 5624: FENN\n",
      "Line 5625: ELMER\n",
      "Line 5626: EHRLICH\n",
      "Line 5627: CHRISTOPHERSO\n",
      "Line 5628: CHICK\n",
      "Line 5629: CHASSE\n",
      "Line 5630: CHANCELLOR\n",
      "Line 5631: CATON\n",
      "Line 5632: BRUNELLE\n",
      "Line 5633: BLY\n",
      "Line 5634: BLOOMFIELD\n",
      "Line 5635: BABBITT\n",
      "Line 5636: AZEVEDO\n",
      "Line 5637: ABRAMSON\n",
      "Line 5638: ABLES\n",
      "Line 5639: ABEYTA\n",
      "Line 5640: YOUMANS\n",
      "Line 5641: WOZNIAK\n",
      "Line 5642: WAINWRIGHT\n",
      "Line 5643: SUMMER\n",
      "Line 5644: STOWELL\n",
      "Line 5645: SMITHERMAN\n",
      "Line 5646: SITES\n",
      "Line 5647: SAMUELSON\n",
      "Line 5648: RUNGE\n",
      "Line 5649: RULE\n",
      "Line 5650: ROTHMAN\n",
      "Line 5651: ROSENFELD\n",
      "Line 5652: QUAN\n",
      "Line 5653: PEAKE\n",
      "Line 5654: OXFORD\n",
      "Line 5655: OWINGS\n",
      "Line 5656: OLMOS\n",
      "Line 5657: MUNRO\n",
      "Line 5658: MOREIRA\n",
      "Line 5659: LEATHERWOOD\n",
      "Line 5660: LARKINS\n",
      "Line 5661: KRANTZ\n",
      "Line 5662: KOVACS\n",
      "Line 5663: KIZER\n",
      "Line 5664: KINDRED\n",
      "Line 5665: KARNES\n",
      "Line 5666: JAFFE\n",
      "Line 5667: HUBBELL\n",
      "Line 5668: HOSEY\n",
      "Line 5669: HAUCK\n",
      "Line 5670: HAROLD\n",
      "Line 5671: GOODELL\n",
      "Line 5672: FAVORS\n",
      "Line 5673: ERDMAN\n",
      "Line 5674: DVORAK\n",
      "Line 5675: DOANE\n",
      "Line 5676: CURETON\n",
      "Line 5677: COFER\n",
      "Line 5678: BUEHLER\n",
      "Line 5679: BIERMAN\n",
      "Line 5680: BERNDT\n",
      "Line 5681: BANTA\n",
      "Line 5682: ANNIS\n",
      "Line 5683: ABRAM\n",
      "Line 5684: ABDULLAH\n",
      "Line 5685: WARWICK\n",
      "Line 5686: WALTZ\n",
      "Line 5687: TURCOTTE\n",
      "Line 5688: TRINH\n",
      "Line 5689: TORREY\n",
      "Line 5690: STITH\n",
      "Line 5691: SEGER\n",
      "Line 5692: SACHS\n",
      "Line 5693: QUESADA\n",
      "Line 5694: PINDER\n",
      "Line 5695: PEPPERS\n",
      "Line 5696: PASCUAL\n",
      "Line 5697: PASCHALL\n",
      "Line 5698: PARKHURST\n",
      "Line 5699: OZUNA\n",
      "Line 5700: OSTER\n",
      "Line 5701: NICHOLLS\n",
      "Line 5702: MORTIMER\n",
      "Line 5703: LHEUREUX\n",
      "Line 5704: LAVALLEY\n",
      "Line 5705: KIMURA\n",
      "Line 5706: JABLONSKI\n",
      "Line 5707: HAUN\n",
      "Line 5708: GOURLEY\n",
      "Line 5709: GILLIGAN\n",
      "Line 5710: FIX\n",
      "Line 5711: DERBY\n",
      "Line 5712: CROY\n",
      "Line 5713: COTTO\n",
      "Line 5714: CARGILL\n",
      "Line 5715: BURWELL\n",
      "Line 5716: BURGETT\n",
      "Line 5717: BUCKMAN\n",
      "Line 5718: BRETT\n",
      "Line 5719: BOOHER\n",
      "Line 5720: ADORNO\n",
      "Line 5721: WRENN\n",
      "Line 5722: WHITTEMORE\n",
      "Line 5723: URIAS\n",
      "Line 5724: SZABO\n",
      "Line 5725: SAYLES\n",
      "Line 5726: SAIZ\n",
      "Line 5727: RUTLAND\n",
      "Line 5728: RAEL\n",
      "Line 5729: PLANT\n",
      "Line 5730: PHARR\n",
      "Line 5731: PENNEY\n",
      "Line 5732: PELKEY\n",
      "Line 5733: OGRADY\n",
      "Line 5734: NICKELL\n",
      "Line 5735: MUSICK\n",
      "Line 5736: MOATS\n",
      "Line 5737: MATHER\n",
      "Line 5738: MASSA\n",
      "Line 5739: LAURENT\n",
      "Line 5740: KIRSCHNER\n",
      "Line 5741: KIEFFER\n",
      "Line 5742: KELLAR\n",
      "Line 5743: HENDERSHOT\n",
      "Line 5744: GOTT\n",
      "Line 5745: GODOY\n",
      "Line 5746: GADSON\n",
      "Line 5747: FURTADO\n",
      "Line 5748: FIEDLER\n",
      "Line 5749: ERSKINE\n",
      "Line 5750: EDISON\n",
      "Line 5751: DUTCHER\n",
      "Line 5752: DEVER\n",
      "Line 5753: DAGGETT\n",
      "Line 5754: CHEVALIER\n",
      "Line 5755: CHAO\n",
      "Line 5756: BRAKE\n",
      "Line 5757: BALLESTEROS\n",
      "Line 5758: AMERSON\n",
      "Line 5759: ALEJANDRO\n",
      "Line 5760: WINGO\n",
      "Line 5761: WALDON\n",
      "Line 5762: TROTT\n",
      "Line 5763: SPIKES\n",
      "Line 5764: SILVEY\n",
      "Line 5765: SHOWERS\n",
      "Line 5766: SCHLEGEL\n",
      "Line 5767: RUE\n",
      "Line 5768: RITZ\n",
      "Line 5769: PEPIN\n",
      "Line 5770: PELAYO\n",
      "Line 5771: PARSLEY\n",
      "Line 5772: PALERMO\n",
      "Line 5773: MOOREHEAD\n",
      "Line 5774: MCHALE\n",
      "Line 5775: LETT\n",
      "Line 5776: KOCHER\n",
      "Line 5777: KILBURN\n",
      "Line 5778: IGLESIAS\n",
      "Line 5779: HUMBLE\n",
      "Line 5780: HULBERT\n",
      "Line 5781: HUCKABY\n",
      "Line 5782: HIX\n",
      "Line 5783: HAVEN\n",
      "Line 5784: HARTFORD\n",
      "Line 5785: HARDIMAN\n",
      "Line 5786: GURNEY\n",
      "Line 5787: GRIGG\n",
      "Line 5788: GRASSO\n",
      "Line 5789: GOINGS\n",
      "Line 5790: FILLMORE\n",
      "Line 5791: FARBER\n",
      "Line 5792: DEPEW\n",
      "Line 5793: DANDREA\n",
      "Line 5794: DAME\n",
      "Line 5795: COWEN\n",
      "Line 5796: COVARRUBIAS\n",
      "Line 5797: CORY\n",
      "Line 5798: BURRUS\n",
      "Line 5799: BRACY\n",
      "Line 5800: ARDOIN\n",
      "Line 5801: THOMPKINS\n",
      "Line 5802: SUZUKI\n",
      "Line 5803: STANDLEY\n",
      "Line 5804: RUSSEL\n",
      "Line 5805: RADCLIFFE\n",
      "Line 5806: POHL\n",
      "Line 5807: PERSAUD\n",
      "Line 5808: PERCY\n",
      "Line 5809: PARENTEAU\n",
      "Line 5810: PABON\n",
      "Line 5811: NEWSON\n",
      "Line 5812: NEWHOUSE\n",
      "Line 5813: NAPOLITANO\n",
      "Line 5814: MULCAHY\n",
      "Line 5815: MAYA\n",
      "Line 5816: MALAVE\n",
      "Line 5817: KEIM\n",
      "Line 5818: HOOTEN\n",
      "Line 5819: HERNANDES\n",
      "Line 5820: HEFFERNAN\n",
      "Line 5821: HEARNE\n",
      "Line 5822: GREENLEAF\n",
      "Line 5823: GLICK\n",
      "Line 5824: FUHRMAN\n",
      "Line 5825: FETTER\n",
      "Line 5826: FARIA\n",
      "Line 5827: DISHMAN\n",
      "Line 5828: DICKENSON\n",
      "Line 5829: CRITES\n",
      "Line 5830: CRISS\n",
      "Line 5831: CLAPPER\n",
      "Line 5832: CHENAULT\n",
      "Line 5833: CASTOR\n",
      "Line 5834: CASTO\n",
      "Line 5835: BUGG\n",
      "Line 5836: BOVE\n",
      "Line 5837: BONNEY\n",
      "Line 5838: BLESSING\n",
      "Line 5839: ARD\n",
      "Line 5840: ANDERTON\n",
      "Line 5841: ALLGOOD\n",
      "Line 5842: ALDERSON\n",
      "Line 5843: WOODMAN\n",
      "Line 5844: WISDOM\n",
      "Line 5845: WARRICK\n",
      "Line 5846: TOOMEY\n",
      "Line 5847: TOOLEY\n",
      "Line 5848: TARRANT\n",
      "Line 5849: SUMMERVILLE\n",
      "Line 5850: STEBBINS\n",
      "Line 5851: SOKOL\n",
      "Line 5852: SINK\n",
      "Line 5853: SEARLES\n",
      "Line 5854: SCHUTZ\n",
      "Line 5855: SCHUMANN\n",
      "Line 5856: SCHEER\n",
      "Line 5857: REMILLARD\n",
      "Line 5858: RAPER\n",
      "Line 5859: PROULX\n",
      "Line 5860: PALMORE\n",
      "Line 5861: MONROY\n",
      "Line 5862: MIGUEL\n",
      "Line 5863: MESSIER\n",
      "Line 5864: MELO\n",
      "Line 5865: MELANSON\n",
      "Line 5866: MASHBURN\n",
      "Line 5867: MANZANO\n",
      "Line 5868: LUSSIER\n",
      "Line 5869: LOVELY\n",
      "Line 5870: LIEN\n",
      "Line 5871: JENKS\n",
      "Line 5872: HUNEYCUTT\n",
      "Line 5873: HARTWIG\n",
      "Line 5874: GRIMSLEY\n",
      "Line 5875: FULK\n",
      "Line 5876: FIELDING\n",
      "Line 5877: FIDLER\n",
      "Line 5878: ENGSTROM\n",
      "Line 5879: ELDRED\n",
      "Line 5880: DANTZLER\n",
      "Line 5881: CRANDELL\n",
      "Line 5882: CHING\n",
      "Line 5883: CALDER\n",
      "Line 5884: BRUMLEY\n",
      "Line 5885: BRETON\n",
      "Line 5886: BRANN\n",
      "Line 5887: BRAMLETT\n",
      "Line 5888: BOYKINS\n",
      "Line 5889: BIANCO\n",
      "Line 5890: BANCROFT\n",
      "Line 5891: ALMARAZ\n",
      "Line 5892: ALCANTAR\n",
      "Line 5893: WHITMER\n",
      "Line 5894: WHITENER\n",
      "Line 5895: WELTON\n",
      "Line 5896: VINEYARD\n",
      "Line 5897: SU\n",
      "Line 5898: RAHN\n",
      "Line 5899: PAQUIN\n",
      "Line 5900: MIZELL\n",
      "Line 5901: MIX\n",
      "Line 5902: MCMILLIN\n",
      "Line 5903: MCKEAN\n",
      "Line 5904: MARSTON\n",
      "Line 5905: MACIEL\n",
      "Line 5906: LUNDQUIST\n",
      "Line 5907: LOUIE\n",
      "Line 5908: LIGGINS\n",
      "Line 5909: LAMPKIN\n",
      "Line 5910: KRANZ\n",
      "Line 5911: KOSKI\n",
      "Line 5912: KIRKHAM\n",
      "Line 5913: JIMINEZ\n",
      "Line 5914: HAZZARD\n",
      "Line 5915: HARROD\n",
      "Line 5916: GRAZIANO\n",
      "Line 5917: GRAMMER\n",
      "Line 5918: GENDRON\n",
      "Line 5919: GARRIDO\n",
      "Line 5920: FORDHAM\n",
      "Line 5921: ENGLERT\n",
      "Line 5922: ELWOOD\n",
      "Line 5923: DRYDEN\n",
      "Line 5924: DEMOSS\n",
      "Line 5925: DELUNA\n",
      "Line 5926: CRABB\n",
      "Line 5927: COMEAU\n",
      "Line 5928: CLAUDIO\n",
      "Line 5929: BRUMMETT\n",
      "Line 5930: BLUME\n",
      "Line 5931: BENALLY\n",
      "Line 5932: WESSEL\n",
      "Line 5933: VANBUSKIRK\n",
      "Line 5934: THORSON\n",
      "Line 5935: STUMPF\n",
      "Line 5936: STOCKWELL\n",
      "Line 5937: ROCCO\n",
      "Line 5938: REAMS\n",
      "Line 5939: RADTKE\n",
      "Line 5940: RACKLEY\n",
      "Line 5941: PELTON\n",
      "Line 5942: NIEMI\n",
      "Line 5943: NEWLAND\n",
      "Line 5944: NELSEN\n",
      "Line 5945: MORRISSETTE\n",
      "Line 5946: MIRAMONTES\n",
      "Line 5947: MCGINLEY\n",
      "Line 5948: MCCLUSKEY\n",
      "Line 5949: MARLEY\n",
      "Line 5950: MARCHANT\n",
      "Line 5951: LUEVANO\n",
      "Line 5952: LAMPE\n",
      "Line 5953: LAIL\n",
      "Line 5954: JEFFCOAT\n",
      "Line 5955: INFANTE\n",
      "Line 5956: HU\n",
      "Line 5957: HINMAN\n",
      "Line 5958: GAONA\n",
      "Line 5959: ERB\n",
      "Line 5960: EADY\n",
      "Line 5961: DESMARAIS\n",
      "Line 5962: DECOSTA\n",
      "Line 5963: DANSBY\n",
      "Line 5964: CISCO\n",
      "Line 5965: CHOE\n",
      "Line 5966: BRECKENRIDGE\n",
      "Line 5967: BOSTWICK\n",
      "Line 5968: BORG\n",
      "Line 5969: BIANCHI\n",
      "Line 5970: BEER\n",
      "Line 5971: ALBERTS\n",
      "Line 5972: ADRIAN\n",
      "Line 5973: WILKIE\n",
      "Line 5974: WHORTON\n",
      "Line 5975: VARGO\n",
      "Line 5976: TAIT\n",
      "Line 5977: SYLVIA\n",
      "Line 5978: SOUCY\n",
      "Line 5979: SCHUMAN\n",
      "Line 5980: OUSLEY\n",
      "Line 5981: MUMFORD\n",
      "Line 5982: LUM\n",
      "Line 5983: LIPPERT\n",
      "Line 5984: LEATH\n",
      "Line 5985: LAVERGNE\n",
      "Line 5986: LALIBERTE\n",
      "Line 5987: KIRKSEY\n",
      "Line 5988: KENNER\n",
      "Line 5989: JOHNSEN\n",
      "Line 5990: IZZO\n",
      "Line 5991: HILES\n",
      "Line 5992: GULLETT\n",
      "Line 5993: GREENWELL\n",
      "Line 5994: GASPAR\n",
      "Line 5995: GALBREATH\n",
      "Line 5996: GAITAN\n",
      "Line 5997: ERICSON\n",
      "Line 5998: DUCK\n",
      "Line 5999: DELAPAZ\n",
      "Line 6000: CROOM\n",
      "Line 6001: COTTINGHAM\n",
      "Line 6002: CLIFT\n",
      "Line 6003: BUSHNELL\n",
      "Line 6004: BOOZER\n",
      "Line 6005: BICE\n",
      "Line 6006: BERNARDO\n",
      "Line 6007: BEASON\n",
      "Line 6008: ARROWOOD\n",
      "Line 6009: WARING\n",
      "Line 6010: VOORHEES\n",
      "Line 6011: TRUAX\n",
      "Line 6012: SHREVE\n",
      "Line 6013: SHOCKEY\n",
      "Line 6014: SCHATZ\n",
      "Line 6015: SANDIFER\n",
      "Line 6016: RUBINO\n",
      "Line 6017: ROZIER\n",
      "Line 6018: ROSEBERRY\n",
      "Line 6019: ROLL\n",
      "Line 6020: PLAYER\n",
      "Line 6021: PIEPER\n",
      "Line 6022: PEDEN\n",
      "Line 6023: NESTER\n",
      "Line 6024: NAVE\n",
      "Line 6025: MURPHEY\n",
      "Line 6026: MALINOWSKI\n",
      "Line 6027: MACGREGOR\n",
      "Line 6028: LIANG\n",
      "Line 6029: LAFRANCE\n",
      "Line 6030: KUNKLE\n",
      "Line 6031: KIRKMAN\n",
      "Line 6032: JORGE\n",
      "Line 6033: HIPP\n",
      "Line 6034: HASTY\n",
      "Line 6035: HADDIX\n",
      "Line 6036: GERVAIS\n",
      "Line 6037: GERDES\n",
      "Line 6038: GARFIELD\n",
      "Line 6039: GAMACHE\n",
      "Line 6040: FOUTS\n",
      "Line 6041: FITZWATER\n",
      "Line 6042: DILLINGHAM\n",
      "Line 6043: DEMING\n",
      "Line 6044: DEANDA\n",
      "Line 6045: CEDENO\n",
      "Line 6046: CANNADY\n",
      "Line 6047: BURSON\n",
      "Line 6048: BOULDIN\n",
      "Line 6049: ARCENEAUX\n",
      "Line 6050: WOODHOUSE\n",
      "Line 6051: WHITFORD\n",
      "Line 6052: WESCOTT\n",
      "Line 6053: WELTY\n",
      "Line 6054: WEIGEL\n",
      "Line 6055: TORGERSON\n",
      "Line 6056: TOMS\n",
      "Line 6057: SURBER\n",
      "Line 6058: SUNDERLAND\n",
      "Line 6059: STERNER\n",
      "Line 6060: SETZER\n",
      "Line 6061: SALVATORE\n",
      "Line 6062: RIOJAS\n",
      "Line 6063: PUMPHREY\n",
      "Line 6064: PUGA\n",
      "Line 6065: PEDRO\n",
      "Line 6066: PATCH\n",
      "Line 6067: METTS\n",
      "Line 6068: MCGARRY\n",
      "Line 6069: MCCANDLESS\n",
      "Line 6070: MAGILL\n",
      "Line 6071: LUPO\n",
      "Line 6072: LOVELAND\n",
      "Line 6073: LLAMAS\n",
      "Line 6074: LECLERC\n",
      "Line 6075: KOONS\n",
      "Line 6076: KAHLER\n",
      "Line 6077: HUSS\n",
      "Line 6078: HOLBERT\n",
      "Line 6079: HEINTZ\n",
      "Line 6080: HAUPT\n",
      "Line 6081: GRIMMETT\n",
      "Line 6082: GASKILL\n",
      "Line 6083: FLOWER\n",
      "Line 6084: ELLINGSON\n",
      "Line 6085: DORR\n",
      "Line 6086: DINGESS\n",
      "Line 6087: DEWEESE\n",
      "Line 6088: DESILVA\n",
      "Line 6089: CROSSLEY\n",
      "Line 6090: CORDEIRO\n",
      "Line 6091: CONVERSE\n",
      "Line 6092: CONDE\n",
      "Line 6093: CHEEKS\n",
      "Line 6094: CALDERA\n",
      "Line 6095: CAIRNS\n",
      "Line 6096: BURMEISTER\n",
      "Line 6097: BURKHALTER\n",
      "Line 6098: BRAWNER\n",
      "Line 6099: BOTT\n",
      "Line 6100: YOUNGS\n",
      "Line 6101: VIERRA\n",
      "Line 6102: VALLADARES\n",
      "Line 6103: TIFFANY\n",
      "Line 6104: SHRUM\n",
      "Line 6105: SHROPSHIRE\n",
      "Line 6106: SEVILLA\n",
      "Line 6107: RUSK\n",
      "Line 6108: ROOF\n",
      "Line 6109: RODARTE\n",
      "Line 6110: PEDRAZA\n",
      "Line 6111: NINO\n",
      "Line 6112: MONTANA\n",
      "Line 6113: MERINO\n",
      "Line 6114: MCMINN\n",
      "Line 6115: MARKLE\n",
      "Line 6116: MAPP\n",
      "Line 6117: LUCIA\n",
      "Line 6118: LAJOIE\n",
      "Line 6119: KOERNER\n",
      "Line 6120: KITTRELL\n",
      "Line 6121: KATO\n",
      "Line 6122: HYDER\n",
      "Line 6123: HOLLIFIELD\n",
      "Line 6124: HEISER\n",
      "Line 6125: HAZLETT\n",
      "Line 6126: GREENWALD\n",
      "Line 6127: FANT\n",
      "Line 6128: ELDREDGE\n",
      "Line 6129: DREHER\n",
      "Line 6130: DELAFUENTE\n",
      "Line 6131: CRAVENS\n",
      "Line 6132: CLAYPOOL\n",
      "Line 6133: BEECHER\n",
      "Line 6134: ARONSON\n",
      "Line 6135: ALANIS\n",
      "Line 6136: WORTHEN\n",
      "Line 6137: WOJCIK\n",
      "Line 6138: WINGER\n",
      "Line 6139: WHITACRE\n",
      "Line 6140: WELLINGTON\n",
      "Line 6141: VALVERDE\n",
      "Line 6142: VALDIVIA\n",
      "Line 6143: TROUPE\n",
      "Line 6144: THROWER\n",
      "Line 6145: SWINDELL\n",
      "Line 6146: SUTTLES\n",
      "Line 6147: SUH\n",
      "Line 6148: STROMAN\n",
      "Line 6149: SPIRES\n",
      "Line 6150: SLATE\n",
      "Line 6151: SHEALY\n",
      "Line 6152: SARVER\n",
      "Line 6153: SARTIN\n",
      "Line 6154: SADOWSKI\n",
      "Line 6155: RONDEAU\n",
      "Line 6156: ROLON\n",
      "Line 6157: RICK\n",
      "Line 6158: REX\n",
      "Line 6159: RASCON\n",
      "Line 6160: PRIDDY\n",
      "Line 6161: PINE\n",
      "Line 6162: PAULINO\n",
      "Line 6163: NOLTE\n",
      "Line 6164: MUNROE\n",
      "Line 6165: MOLLOY\n",
      "Line 6166: MELLON\n",
      "Line 6167: MCIVER\n",
      "Line 6168: LYKINS\n",
      "Line 6169: LOGGINS\n",
      "Line 6170: LILLIE\n",
      "Line 6171: LENOIR\n",
      "Line 6172: KLOTZ\n",
      "Line 6173: KEMPF\n",
      "Line 6174: JONE\n",
      "Line 6175: HUPP\n",
      "Line 6176: HOLLOWELL\n",
      "Line 6177: HOLLANDER\n",
      "Line 6178: HAYNIE\n",
      "Line 6179: HASSAN\n",
      "Line 6180: HARKNESS\n",
      "Line 6181: HARKER\n",
      "Line 6182: GOTTLIEB\n",
      "Line 6183: FRITH\n",
      "Line 6184: EDDINS\n",
      "Line 6185: DRISKELL\n",
      "Line 6186: DOGGETT\n",
      "Line 6187: DENSMORE\n",
      "Line 6188: CHARETTE\n",
      "Line 6189: CASSADY\n",
      "Line 6190: CARROL\n",
      "Line 6191: BYRUM\n",
      "Line 6192: BURCHAM\n",
      "Line 6193: BUGGS\n",
      "Line 6194: BENN\n",
      "Line 6195: WHITTED\n",
      "Line 6196: WARRINGTON\n",
      "Line 6197: VANDUSEN\n",
      "Line 6198: VAILLANCOURT\n",
      "Line 6199: STEGER\n",
      "Line 6200: SPELL\n",
      "Line 6201: SIEBERT\n",
      "Line 6202: SCOFIELD\n",
      "Line 6203: QUIRK\n",
      "Line 6204: PURSER\n",
      "Line 6205: PLUMB\n",
      "Line 6206: ORCUTT\n",
      "Line 6207: NORTHERN\n",
      "Line 6208: NORDSTROM\n",
      "Line 6209: MOSELY\n",
      "Line 6210: MICHALSKI\n",
      "Line 6211: MCPHAIL\n",
      "Line 6212: MCDAVID\n",
      "Line 6213: MCCRAW\n",
      "Line 6214: MARTINI\n",
      "Line 6215: MARCHESE\n",
      "Line 6216: MANNINO\n",
      "Line 6217: LEO\n",
      "Line 6218: LEFEVRE\n",
      "Line 6219: LARGENT\n",
      "Line 6220: LANZA\n",
      "Line 6221: KRESS\n",
      "Line 6222: ISHAM\n",
      "Line 6223: HUNSAKER\n",
      "Line 6224: HOCH\n",
      "Line 6225: HILDEBRANDT\n",
      "Line 6226: GUARINO\n",
      "Line 6227: GRIJALVA\n",
      "Line 6228: GRAYBILL\n",
      "Line 6229: FICK\n",
      "Line 6230: EWELL\n",
      "Line 6231: EWALD\n",
      "Line 6232: DEANGELO\n",
      "Line 6233: CUSICK\n",
      "Line 6234: CRUMLEY\n",
      "Line 6235: COSTON\n",
      "Line 6236: CATHCART\n",
      "Line 6237: CARRUTHERS\n",
      "Line 6238: BULLINGTON\n",
      "Line 6239: BRIAN\n",
      "Line 6240: BOWES\n",
      "Line 6241: BLAIN\n",
      "Line 6242: BLACKFORD\n",
      "Line 6243: BARBOZA\n",
      "Line 6244: YINGLING\n",
      "Line 6245: WOODLAND\n",
      "Line 6246: WERT\n",
      "Line 6247: WEILAND\n",
      "Line 6248: VARGA\n",
      "Line 6249: SILVERSTEIN\n",
      "Line 6250: SIEVERS\n",
      "Line 6251: SHUSTER\n",
      "Line 6252: SHUMWAY\n",
      "Line 6253: SCUDDER\n",
      "Line 6254: RUNNELS\n",
      "Line 6255: RUMSEY\n",
      "Line 6256: RENFROE\n",
      "Line 6257: PROVENCHER\n",
      "Line 6258: POLLEY\n",
      "Line 6259: MOHLER\n",
      "Line 6260: MIDDLEBROOKS\n",
      "Line 6261: KUTZ\n",
      "Line 6262: KOSTER\n",
      "Line 6263: KORN\n",
      "Line 6264: GROW\n",
      "Line 6265: GROTH\n",
      "Line 6266: GLIDDEN\n",
      "Line 6267: FAZIO\n",
      "Line 6268: DEEN\n",
      "Line 6269: CORN\n",
      "Line 6270: COPPER\n",
      "Line 6271: CHIPMAN\n",
      "Line 6272: CHENOWETH\n",
      "Line 6273: CHAMPLIN\n",
      "Line 6274: CEDILLO\n",
      "Line 6275: CARRERO\n",
      "Line 6276: CARMODY\n",
      "Line 6277: BUCKLES\n",
      "Line 6278: BRIEN\n",
      "Line 6279: BOUTIN\n",
      "Line 6280: BOSCH\n",
      "Line 6281: BILL\n",
      "Line 6282: BERKOWITZ\n",
      "Line 6283: ALTAMIRANO\n",
      "Line 6284: WILFONG\n",
      "Line 6285: WIEGAND\n",
      "Line 6286: WAITES\n",
      "Line 6287: TRUESDALE\n",
      "Line 6288: TOUSSAINT\n",
      "Line 6289: TOBEY\n",
      "Line 6290: TEDDER\n",
      "Line 6291: STEELMAN\n",
      "Line 6292: SIROIS\n",
      "Line 6293: SCHNELL\n",
      "Line 6294: ROBICHAUD\n",
      "Line 6295: RIDGE\n",
      "Line 6296: RICHBURG\n",
      "Line 6297: PRAY\n",
      "Line 6298: PLUMLEY\n",
      "Line 6299: PIZARRO\n",
      "Line 6300: PIERCY\n",
      "Line 6301: ORTEGO\n",
      "Line 6302: OBERG\n",
      "Line 6303: NEACE\n",
      "Line 6304: MUSIC\n",
      "Line 6305: MICKEY\n",
      "Line 6306: MERTZ\n",
      "Line 6307: MCNEW\n",
      "Line 6308: MATTA\n",
      "Line 6309: LAWYER\n",
      "Line 6310: LAPP\n",
      "Line 6311: LAIR\n",
      "Line 6312: KIBLER\n",
      "Line 6313: JESSIE\n",
      "Line 6314: HOWLETT\n",
      "Line 6315: HOLLISTER\n",
      "Line 6316: HOFER\n",
      "Line 6317: HATTEN\n",
      "Line 6318: HAGLER\n",
      "Line 6319: GERMANY\n",
      "Line 6320: FALGOUST\n",
      "Line 6321: ENGELHARDT\n",
      "Line 6322: EBERLE\n",
      "Line 6323: EASTWOOD\n",
      "Line 6324: DOMBROWSKI\n",
      "Line 6325: DINSMORE\n",
      "Line 6326: DAYE\n",
      "Line 6327: COOL\n",
      "Line 6328: CASARES\n",
      "Line 6329: CAPONE\n",
      "Line 6330: BRAUD\n",
      "Line 6331: BALCH\n",
      "Line 6332: AUTREY\n",
      "Line 6333: WENDEL\n",
      "Line 6334: TYNDALL\n",
      "Line 6335: TOY\n",
      "Line 6336: STROBEL\n",
      "Line 6337: STOLTZ\n",
      "Line 6338: SPINELLI\n",
      "Line 6339: SERRATO\n",
      "Line 6340: ROCHESTER\n",
      "Line 6341: REBER\n",
      "Line 6342: REAL\n",
      "Line 6343: RATHBONE\n",
      "Line 6344: PALOMINO\n",
      "Line 6345: NOAH\n",
      "Line 6346: NICKELS\n",
      "Line 6347: MAYLE\n",
      "Line 6348: MATHERS\n",
      "Line 6349: MACH\n",
      "Line 6350: LOEFFLER\n",
      "Line 6351: LITTRELL\n",
      "Line 6352: LEVINSON\n",
      "Line 6353: LEONG\n",
      "Line 6354: LEMIRE\n",
      "Line 6355: LEJEUNE\n",
      "Line 6356: LAZO\n",
      "Line 6357: LASLEY\n",
      "Line 6358: KOLLER\n",
      "Line 6359: KENNARD\n",
      "Line 6360: JESTER\n",
      "Line 6361: HOELSCHER\n",
      "Line 6362: HINTZ\n",
      "Line 6363: HAGERMAN\n",
      "Line 6364: GREAVES\n",
      "Line 6365: FORE\n",
      "Line 6366: EUDY\n",
      "Line 6367: ENGLER\n",
      "Line 6368: CORRALES\n",
      "Line 6369: CORDES\n",
      "Line 6370: BRUNET\n",
      "Line 6371: BIDWELL\n",
      "Line 6372: BENNET\n",
      "Line 6373: BARE\n",
      "Line 6374: TYRRELL\n",
      "Line 6375: THARPE\n",
      "Line 6376: SWINTON\n",
      "Line 6377: STRIBLING\n",
      "Line 6378: STEVEN\n",
      "Line 6379: SOUTHWORTH\n",
      "Line 6380: SISNEROS\n",
      "Line 6381: SHANE\n",
      "Line 6382: SAVOIE\n",
      "Line 6383: SAMONS\n",
      "Line 6384: RUVALCABA\n",
      "Line 6385: ROSCOE\n",
      "Line 6386: RIES\n",
      "Line 6387: RAMER\n",
      "Line 6388: OMARA\n",
      "Line 6389: MOSQUEDA\n",
      "Line 6390: MILLAR\n",
      "Line 6391: MCPEAK\n",
      "Line 6392: MACOMBER\n",
      "Line 6393: LUCKEY\n",
      "Line 6394: LITTON\n",
      "Line 6395: LEHR\n",
      "Line 6396: LAVIN\n",
      "Line 6397: HUBBS\n",
      "Line 6398: HOARD\n",
      "Line 6399: HIBBS\n",
      "Line 6400: HAGANS\n",
      "Line 6401: FUTRELL\n",
      "Line 6402: EXUM\n",
      "Line 6403: EVENSON\n",
      "Line 6404: DICKS\n",
      "Line 6405: CULLER\n",
      "Line 6406: CHOU\n",
      "Line 6407: CARBAUGH\n",
      "Line 6408: CALLEN\n",
      "Line 6409: BRASHEAR\n",
      "Line 6410: BLOOMER\n",
      "Line 6411: BLAKENEY\n",
      "Line 6412: BIGLER\n",
      "Line 6413: ADDINGTON\n",
      "Line 6414: WOODFORD\n",
      "Line 6415: WITTER\n",
      "Line 6416: UNRUH\n",
      "Line 6417: TOLENTINO\n",
      "Line 6418: SUMRALL\n",
      "Line 6419: STGERMAIN\n",
      "Line 6420: SMOCK\n",
      "Line 6421: SHERER\n",
      "Line 6422: SALEM\n",
      "Line 6423: ROCHELLE\n",
      "Line 6424: RAYNER\n",
      "Line 6425: POOLER\n",
      "Line 6426: OQUINN\n",
      "Line 6427: NERO\n",
      "Line 6428: MILANO\n",
      "Line 6429: MCGLOTHLIN\n",
      "Line 6430: MARS\n",
      "Line 6431: LINDEN\n",
      "Line 6432: KOWAL\n",
      "Line 6433: KERRIGAN\n",
      "Line 6434: IBRAHIM\n",
      "Line 6435: HARVELL\n",
      "Line 6436: HANRAHAN\n",
      "Line 6437: GOODALL\n",
      "Line 6438: GEIST\n",
      "Line 6439: FUSSELL\n",
      "Line 6440: FUNG\n",
      "Line 6441: FEREBEE\n",
      "Line 6442: FEDERICO\n",
      "Line 6443: ELEY\n",
      "Line 6444: EGGERT\n",
      "Line 6445: DORSETT\n",
      "Line 6446: DINGMAN\n",
      "Line 6447: DESTEFANO\n",
      "Line 6448: COLUCCI\n",
      "Line 6449: CLEMMER\n",
      "Line 6450: CAESAR\n",
      "Line 6451: BURNELL\n",
      "Line 6452: BRUMBAUGH\n",
      "Line 6453: BODDIE\n",
      "Line 6454: BERRYHILL\n",
      "Line 6455: AVELAR\n",
      "Line 6456: ALCANTARA\n",
      "Line 6457: ABBEY\n",
      "Line 6458: WINDER\n",
      "Line 6459: WINCHELL\n",
      "Line 6460: VANDENBERG\n",
      "Line 6461: TROTMAN\n",
      "Line 6462: THURBER\n",
      "Line 6463: THIBEAULT\n",
      "Line 6464: STLOUIS\n",
      "Line 6465: STILWELL\n",
      "Line 6466: SPERLING\n",
      "Line 6467: SHATTUCK\n",
      "Line 6468: SARMIENTO\n",
      "Line 6469: RUPPERT\n",
      "Line 6470: RUMPH\n",
      "Line 6471: RENAUD\n",
      "Line 6472: RANDAZZO\n",
      "Line 6473: RADEMACHER\n",
      "Line 6474: QUILES\n",
      "Line 6475: PEARMAN\n",
      "Line 6476: PALOMO\n",
      "Line 6477: MERCURIO\n",
      "Line 6478: LOWREY\n",
      "Line 6479: LINDEMAN\n",
      "Line 6480: LAWLOR\n",
      "Line 6481: LAROSA\n",
      "Line 6482: LANDER\n",
      "Line 6483: LABRECQUE\n",
      "Line 6484: KIMBER\n",
      "Line 6485: HOVIS\n",
      "Line 6486: HOLIFIELD\n",
      "Line 6487: HENNINGER\n",
      "Line 6488: HAWKES\n",
      "Line 6489: HARTFIELD\n",
      "Line 6490: HANN\n",
      "Line 6491: HAGUE\n",
      "Line 6492: GENOVESE\n",
      "Line 6493: GARRICK\n",
      "Line 6494: FUDGE\n",
      "Line 6495: FRINK\n",
      "Line 6496: EDDINGS\n",
      "Line 6497: DINH\n",
      "Line 6498: DEAR\n",
      "Line 6499: CUTTER\n",
      "Line 6500: CRIBBS\n",
      "Line 6501: CONSTANT\n",
      "Line 6502: CALVILLO\n",
      "Line 6503: BUNTON\n",
      "Line 6504: BRODEUR\n",
      "Line 6505: BOLDING\n",
      "Line 6506: BLANDING\n",
      "Line 6507: AGOSTO\n",
      "Line 6508: ZAHN\n",
      "Line 6509: WIENER\n",
      "Line 6510: TRUSSELL\n",
      "Line 6511: TEW\n",
      "Line 6512: TELLO\n",
      "Line 6513: TEIXEIRA\n",
      "Line 6514: STEPHAN\n",
      "Line 6515: SPECK\n",
      "Line 6516: SHARMA\n",
      "Line 6517: SHANKLIN\n",
      "Line 6518: SEALY\n",
      "Line 6519: SCANLAN\n",
      "Line 6520: SANTAMARIA\n",
      "Line 6521: ROUNDY\n",
      "Line 6522: ROBICHAUX\n",
      "Line 6523: RINGER\n",
      "Line 6524: RIGNEY\n",
      "Line 6525: PREVOST\n",
      "Line 6526: POLSON\n",
      "Line 6527: PHILIP\n",
      "Line 6528: PASS\n",
      "Line 6529: NORD\n",
      "Line 6530: MOXLEY\n",
      "Line 6531: MOHAMMED\n",
      "Line 6532: MEDFORD\n",
      "Line 6533: MCCASLIN\n",
      "Line 6534: MCARDLE\n",
      "Line 6535: MACARTHUR\n",
      "Line 6536: LEWIN\n",
      "Line 6537: LASHER\n",
      "Line 6538: KETCHAM\n",
      "Line 6539: KEISER\n",
      "Line 6540: HEINE\n",
      "Line 6541: HACKWORTH\n",
      "Line 6542: GROSE\n",
      "Line 6543: GRIZZLE\n",
      "Line 6544: GRASS\n",
      "Line 6545: GILLMAN\n",
      "Line 6546: GARTNER\n",
      "Line 6547: GARTH\n",
      "Line 6548: FRAZEE\n",
      "Line 6549: FLEURY\n",
      "Line 6550: FAST\n",
      "Line 6551: EDSON\n",
      "Line 6552: EDMONSON\n",
      "Line 6553: DERRY\n",
      "Line 6554: DECK\n",
      "Line 6555: CRONK\n",
      "Line 6556: CONANT\n",
      "Line 6557: BURRESS\n",
      "Line 6558: BURGIN\n",
      "Line 6559: BROOM\n",
      "Line 6560: BROCKINGTON\n",
      "Line 6561: BOLICK\n",
      "Line 6562: BOGER\n",
      "Line 6563: BIRCHFIELD\n",
      "Line 6564: BILLINGTON\n",
      "Line 6565: BAILY\n",
      "Line 6566: BAHENA\n",
      "Line 6567: ARMBRUSTER\n",
      "Line 6568: ANSON\n",
      "Line 6569: YOHO\n",
      "Line 6570: WILCHER\n",
      "Line 6571: TINNEY\n",
      "Line 6572: TIMBERLAKE\n",
      "Line 6573: THOMA\n",
      "Line 6574: THIELEN\n",
      "Line 6575: SUTPHIN\n",
      "Line 6576: STULTZ\n",
      "Line 6577: SIKORA\n",
      "Line 6578: SERRA\n",
      "Line 6579: SCHULMAN\n",
      "Line 6580: SCHEFFLER\n",
      "Line 6581: SANTILLAN\n",
      "Line 6582: ROBIN\n",
      "Line 6583: REGO\n",
      "Line 6584: PRECIADO\n",
      "Line 6585: PINKHAM\n",
      "Line 6586: MONDAY\n",
      "Line 6587: MICKLE\n",
      "Line 6588: LUU\n",
      "Line 6589: LOMAS\n",
      "Line 6590: LIZOTTE\n",
      "Line 6591: LENT\n",
      "Line 6592: LENARD\n",
      "Line 6593: KELLERMAN\n",
      "Line 6594: KEIL\n",
      "Line 6595: JUAN\n",
      "Line 6596: JOHANSON\n",
      "Line 6597: HERNADEZ\n",
      "Line 6598: HARTSFIELD\n",
      "Line 6599: HANG\n",
      "Line 6600: HABER\n",
      "Line 6601: GORSKI\n",
      "Line 6602: FARKAS\n",
      "Line 6603: EBERHARDT\n",
      "Line 6604: DUQUETTE\n",
      "Line 6605: DELANO\n",
      "Line 6606: CROPPER\n",
      "Line 6607: COZART\n",
      "Line 6608: COCKERHAM\n",
      "Line 6609: CHAMBLEE\n",
      "Line 6610: CARTAGENA\n",
      "Line 6611: CAHOON\n",
      "Line 6612: BUZZELL\n",
      "Line 6613: BRISTER\n",
      "Line 6614: BREWTON\n",
      "Line 6615: BLACKSHEAR\n",
      "Line 6616: BENFIELD\n",
      "Line 6617: ASTON\n",
      "Line 6618: ASHBURN\n",
      "Line 6619: ARRUDA\n",
      "Line 6620: WETMORE\n",
      "Line 6621: WEISE\n",
      "Line 6622: VACCARO\n",
      "Line 6623: TUCCI\n",
      "Line 6624: SUDDUTH\n",
      "Line 6625: STROMBERG\n",
      "Line 6626: STOOPS\n",
      "Line 6627: SHOWALTER\n",
      "Line 6628: SHEARS\n",
      "Line 6629: RUNION\n",
      "Line 6630: ROWDEN\n",
      "Line 6631: ROSENBLUM\n",
      "Line 6632: RIFFLE\n",
      "Line 6633: RENFROW\n",
      "Line 6634: PERES\n",
      "Line 6635: OBRYANT\n",
      "Line 6636: NICOLAS\n",
      "Line 6637: LEFTWICH\n",
      "Line 6638: LARK\n",
      "Line 6639: LANDEROS\n",
      "Line 6640: KISTLER\n",
      "Line 6641: KILLOUGH\n",
      "Line 6642: KERLEY\n",
      "Line 6643: KASTNER\n",
      "Line 6644: HOGGARD\n",
      "Line 6645: HARTUNG\n",
      "Line 6646: GUERTIN\n",
      "Line 6647: GOVAN\n",
      "Line 6648: GATLING\n",
      "Line 6649: GAILEY\n",
      "Line 6650: FULLMER\n",
      "Line 6651: FULFORD\n",
      "Line 6652: FLATT\n",
      "Line 6653: ESQUIBEL\n",
      "Line 6654: ENDICOTT\n",
      "Line 6655: EDMISTON\n",
      "Line 6656: EDELSTEIN\n",
      "Line 6657: DUFRESNE\n",
      "Line 6658: DRESSLER\n",
      "Line 6659: DICKMAN\n",
      "Line 6660: CHEE\n",
      "Line 6661: BUSSE\n",
      "Line 6662: BONNETT\n",
      "Line 6663: BOGART\n",
      "Line 6664: BERARD\n",
      "Line 6665: BARRINGTON\n",
      "Line 6666: ARENA\n",
      "Line 6667: ANTON\n",
      "Line 6668: YOSHIDA\n",
      "Line 6669: VELARDE\n",
      "Line 6670: VEACH\n",
      "Line 6671: VANHOUTEN\n",
      "Line 6672: VACHON\n",
      "Line 6673: TOLSON\n",
      "Line 6674: TOLMAN\n",
      "Line 6675: TENNYSON\n",
      "Line 6676: STITES\n",
      "Line 6677: SOLER\n",
      "Line 6678: SHUTT\n",
      "Line 6679: RUGGLES\n",
      "Line 6680: RHONE\n",
      "Line 6681: PEGUES\n",
      "Line 6682: ONG\n",
      "Line 6683: NEESE\n",
      "Line 6684: MURO\n",
      "Line 6685: MONCRIEF\n",
      "Line 6686: MEFFORD\n",
      "Line 6687: MCPHEE\n",
      "Line 6688: MCMORRIS\n",
      "Line 6689: MCEACHERN\n",
      "Line 6690: MCCLURG\n",
      "Line 6691: MANSOUR\n",
      "Line 6692: MAI\n",
      "Line 6693: MADER\n",
      "Line 6694: LEIJA\n",
      "Line 6695: LECOMPTE\n",
      "Line 6696: LAFOUNTAIN\n",
      "Line 6697: LABRIE\n",
      "Line 6698: JAQUEZ\n",
      "Line 6699: HEALD\n",
      "Line 6700: HASH\n",
      "Line 6701: HARTLE\n",
      "Line 6702: GAINER\n",
      "Line 6703: FRISBY\n",
      "Line 6704: FARINA\n",
      "Line 6705: EIDSON\n",
      "Line 6706: EDGERTON\n",
      "Line 6707: DYKE\n",
      "Line 6708: DURRETT\n",
      "Line 6709: DUHON\n",
      "Line 6710: CUOMO\n",
      "Line 6711: COBOS\n",
      "Line 6712: CERVANTEZ\n",
      "Line 6713: BYBEE\n",
      "Line 6714: BROCKWAY\n",
      "Line 6715: BOROWSKI\n",
      "Line 6716: BINION\n",
      "Line 6717: BEERY\n",
      "Line 6718: ARGUELLO\n",
      "Line 6719: AMARO\n",
      "Line 6720: ACTON\n",
      "Line 6721: YUEN\n",
      "Line 6722: WINTON\n",
      "Line 6723: WIGFALL\n",
      "Line 6724: WEEKLEY\n",
      "Line 6725: VIDRINE\n",
      "Line 6726: VANNOY\n",
      "Line 6727: TARDIFF\n",
      "Line 6728: SHOOP\n",
      "Line 6729: SHILLING\n",
      "Line 6730: SCHICK\n",
      "Line 6731: SAND\n",
      "Line 6732: SAFFORD\n",
      "Line 6733: PRENDERGAST\n",
      "Line 6734: PILGRIM\n",
      "Line 6735: PELLERIN\n",
      "Line 6736: OSUNA\n",
      "Line 6737: NISSEN\n",
      "Line 6738: NALLEY\n",
      "Line 6739: MORITZ\n",
      "Line 6740: MOLLER\n",
      "Line 6741: MESSNER\n",
      "Line 6742: MESSICK\n",
      "Line 6743: MERRY\n",
      "Line 6744: MERRIFIELD\n",
      "Line 6745: MCGUINNESS\n",
      "Line 6746: MATHERLY\n",
      "Line 6747: MARCANO\n",
      "Line 6748: MAHONE\n",
      "Line 6749: LEMOS\n",
      "Line 6750: LEBRUN\n",
      "Line 6751: JARA\n",
      "Line 6752: HOFFER\n",
      "Line 6753: HEWLETT\n",
      "Line 6754: HERREN\n",
      "Line 6755: HECKER\n",
      "Line 6756: HAWS\n",
      "Line 6757: HAUG\n",
      "Line 6758: HACK\n",
      "Line 6759: GWIN\n",
      "Line 6760: GOBER\n",
      "Line 6761: GILLIARD\n",
      "Line 6762: FREDETTE\n",
      "Line 6763: FAVELA\n",
      "Line 6764: ECHEVERRIA\n",
      "Line 6765: DOWNER\n",
      "Line 6766: DONOFRIO\n",
      "Line 6767: DESROCHERS\n",
      "Line 6768: DEE\n",
      "Line 6769: CROZIER\n",
      "Line 6770: CORSON\n",
      "Line 6771: CLYDE\n",
      "Line 6772: BECHTOLD\n",
      "Line 6773: ARGUETA\n",
      "Line 6774: APARICIO\n",
      "Line 6775: ZAMUDIO\n",
      "Line 6776: WILLETTE\n",
      "Line 6777: WESTOVER\n",
      "Line 6778: WESTERMAN\n",
      "Line 6779: UTTER\n",
      "Line 6780: TROYER\n",
      "Line 6781: THIES\n",
      "Line 6782: TAPLEY\n",
      "Line 6783: SLAVIN\n",
      "Line 6784: SHIRK\n",
      "Line 6785: SANDLER\n",
      "Line 6786: ROOP\n",
      "Line 6787: RIMMER\n",
      "Line 6788: RAYMER\n",
      "Line 6789: RANGE\n",
      "Line 6790: RADCLIFF\n",
      "Line 6791: OTTEN\n",
      "Line 6792: MOORER\n",
      "Line 6793: MILLET\n",
      "Line 6794: MCKIBBEN\n",
      "Line 6795: MCCUTCHEN\n",
      "Line 6796: MCAVOY\n",
      "Line 6797: MCADOO\n",
      "Line 6798: MAYORGA\n",
      "Line 6799: MASTIN\n",
      "Line 6800: MARTINEAU\n",
      "Line 6801: MAREK\n",
      "Line 6802: MADORE\n",
      "Line 6803: LEFLORE\n",
      "Line 6804: KROEGER\n",
      "Line 6805: KENNON\n",
      "Line 6806: JIMERSON\n",
      "Line 6807: JAVIER\n",
      "Line 6808: HOSTETTER\n",
      "Line 6809: HORNBACK\n",
      "Line 6810: HENDLEY\n",
      "Line 6811: HANCE\n",
      "Line 6812: GUARDADO\n",
      "Line 6813: GRANADO\n",
      "Line 6814: GOWEN\n",
      "Line 6815: GOODALE\n",
      "Line 6816: FLINN\n",
      "Line 6817: FLEETWOOD\n",
      "Line 6818: FITZ\n",
      "Line 6819: DURKEE\n",
      "Line 6820: DUPREY\n",
      "Line 6821: DIPIETRO\n",
      "Line 6822: DILLEY\n",
      "Line 6823: CLYBURN\n",
      "Line 6824: BRAWLEY\n",
      "Line 6825: BECKLEY\n",
      "Line 6826: ARANA\n",
      "Line 6827: WEATHERBY\n",
      "Line 6828: VOLLMER\n",
      "Line 6829: VICTORIA\n",
      "Line 6830: VESTAL\n",
      "Line 6831: TUNNELL\n",
      "Line 6832: TRIGG\n",
      "Line 6833: TINGLE\n",
      "Line 6834: TAKAHASHI\n",
      "Line 6835: SWEATT\n",
      "Line 6836: STORER\n",
      "Line 6837: SNAPP\n",
      "Line 6838: SHIVER\n",
      "Line 6839: ROOKER\n",
      "Line 6840: RED\n",
      "Line 6841: RATHBUN\n",
      "Line 6842: POISSON\n",
      "Line 6843: PERRINE\n",
      "Line 6844: PERRI\n",
      "Line 6845: PASTOR\n",
      "Line 6846: PARMER\n",
      "Line 6847: PARKE\n",
      "Line 6848: PARE\n",
      "Line 6849: PAPA\n",
      "Line 6850: PALMIERI\n",
      "Line 6851: NOTTINGHAM\n",
      "Line 6852: MIDKIFF\n",
      "Line 6853: MECHAM\n",
      "Line 6854: MCCOMAS\n",
      "Line 6855: MCALPINE\n",
      "Line 6856: LOVELADY\n",
      "Line 6857: LILLARD\n",
      "Line 6858: LALLY\n",
      "Line 6859: KNOPP\n",
      "Line 6860: KILE\n",
      "Line 6861: KIGER\n",
      "Line 6862: HAILE\n",
      "Line 6863: GUPTA\n",
      "Line 6864: GOLDSBERRY\n",
      "Line 6865: GILREATH\n",
      "Line 6866: FULKS\n",
      "Line 6867: FRIESEN\n",
      "Line 6868: FRANZEN\n",
      "Line 6869: FLACK\n",
      "Line 6870: FINDLAY\n",
      "Line 6871: FERLAND\n",
      "Line 6872: DREYER\n",
      "Line 6873: DORE\n",
      "Line 6874: DENNARD\n",
      "Line 6875: DECKARD\n",
      "Line 6876: DEBOSE\n",
      "Line 6877: CRIM\n",
      "Line 6878: COULOMBE\n",
      "Line 6879: CORK\n",
      "Line 6880: CHANCEY\n",
      "Line 6881: CANTOR\n",
      "Line 6882: BRANTON\n",
      "Line 6883: BISSELL\n",
      "Line 6884: BARNS\n",
      "Line 6885: WOOLARD\n",
      "Line 6886: WITHAM\n",
      "Line 6887: WASSERMAN\n",
      "Line 6888: WALDO\n",
      "Line 6889: SPIEGEL\n",
      "Line 6890: SHOFFNER\n",
      "Line 6891: SCHOLZ\n",
      "Line 6892: RUCH\n",
      "Line 6893: ROSSMAN\n",
      "Line 6894: READY\n",
      "Line 6895: PETRY\n",
      "Line 6896: PALACIO\n",
      "Line 6897: PAEZ\n",
      "Line 6898: NEARY\n",
      "Line 6899: MORTENSON\n",
      "Line 6900: MILLSAP\n",
      "Line 6901: MIELE\n",
      "Line 6902: MICK\n",
      "Line 6903: MENKE\n",
      "Line 6904: MCKIM\n",
      "Line 6905: MCANALLY\n",
      "Line 6906: MARTINES\n",
      "Line 6907: MANOR\n",
      "Line 6908: MALCOM\n",
      "Line 6909: LEMLEY\n",
      "Line 6910: LAROCHELLE\n",
      "Line 6911: KLAUS\n",
      "Line 6912: KLATT\n",
      "Line 6913: KAUFMANN\n",
      "Line 6914: KAPP\n",
      "Line 6915: HELMER\n",
      "Line 6916: HEDGE\n",
      "Line 6917: HALLORAN\n",
      "Line 6918: GLISSON\n",
      "Line 6919: FRECHETTE\n",
      "Line 6920: FONTANA\n",
      "Line 6921: ENOCH\n",
      "Line 6922: EAGAN\n",
      "Line 6923: DRUM\n",
      "Line 6924: DISTEFANO\n",
      "Line 6925: DANLEY\n",
      "Line 6926: CREEKMORE\n",
      "Line 6927: CHARTIER\n",
      "Line 6928: CHAFFEE\n",
      "Line 6929: CARILLO\n",
      "Line 6930: BURG\n",
      "Line 6931: BOLINGER\n",
      "Line 6932: BERKLEY\n",
      "Line 6933: BENZ\n",
      "Line 6934: BASSO\n",
      "Line 6935: BASH\n",
      "Line 6936: BARRIER\n",
      "Line 6937: ZELAYA\n",
      "Line 6938: WOODRING\n",
      "Line 6939: WITKOWSKI\n",
      "Line 6940: WILMOT\n",
      "Line 6941: WILKENS\n",
      "Line 6942: WIELAND\n",
      "Line 6943: VIRGIL\n",
      "Line 6944: VERDUGO\n",
      "Line 6945: URQUHART\n",
      "Line 6946: TSAI\n",
      "Line 6947: TIMMS\n",
      "Line 6948: SWIGER\n",
      "Line 6949: SWAIM\n",
      "Line 6950: SUSSMAN\n",
      "Line 6951: SCARLETT\n",
      "Line 6952: PIRES\n",
      "Line 6953: MOLNAR\n",
      "Line 6954: MCATEE\n",
      "Line 6955: MAURICE\n",
      "Line 6956: LOWDER\n",
      "Line 6957: LOOS\n",
      "Line 6958: LINKER\n",
      "Line 6959: LANDES\n",
      "Line 6960: KINGERY\n",
      "Line 6961: KEELEY\n",
      "Line 6962: HUFFORD\n",
      "Line 6963: HIGA\n",
      "Line 6964: HENDREN\n",
      "Line 6965: HAMMACK\n",
      "Line 6966: HAMANN\n",
      "Line 6967: GILLAM\n",
      "Line 6968: GERHARDT\n",
      "Line 6969: FELL\n",
      "Line 6970: EUGENE\n",
      "Line 6971: EDELMAN\n",
      "Line 6972: EBY\n",
      "Line 6973: DELK\n",
      "Line 6974: DEANS\n",
      "Line 6975: CURL\n",
      "Line 6976: CONSTANTINE\n",
      "Line 6977: CLEAVER\n",
      "Line 6978: CLAAR\n",
      "Line 6979: CASIANO\n",
      "Line 6980: CARRUTH\n",
      "Line 6981: CARLYLE\n",
      "Line 6982: BUMP\n",
      "Line 6983: BROPHY\n",
      "Line 6984: BOLANOS\n",
      "Line 6985: BIBBS\n",
      "Line 6986: BESSETTE\n",
      "Line 6987: BEGGS\n",
      "Line 6988: BAUGHER\n",
      "Line 6989: BARTEL\n",
      "Line 6990: AVERILL\n",
      "Line 6991: ANDRESEN\n",
      "Line 6992: AMIN\n",
      "Line 6993: ALDEN\n",
      "Line 6994: ADAMES\n",
      "Line 6995: WILDMAN\n",
      "Line 6996: VIA\n",
      "Line 6997: VALENTE\n",
      "Line 6998: TURNBOW\n",
      "Line 6999: TSE\n",
      "Line 7000: SWINK\n",
      "Line 7001: SUBLETT\n",
      "Line 7002: STROH\n",
      "Line 7003: STRINGFELLOW\n",
      "Line 7004: RIDGWAY\n",
      "Line 7005: PUGLIESE\n",
      "Line 7006: POTEAT\n",
      "Line 7007: PANG\n",
      "Line 7008: OHARE\n",
      "Line 7009: NEUBAUER\n",
      "Line 7010: MURCHISON\n",
      "Line 7011: MOHAMED\n",
      "Line 7012: MINGO\n",
      "Line 7013: LUCKY\n",
      "Line 7014: LEMMONS\n",
      "Line 7015: KWON\n",
      "Line 7016: KELLAM\n",
      "Line 7017: KEAN\n",
      "Line 7018: JARMON\n",
      "Line 7019: HYDEN\n",
      "Line 7020: HUDAK\n",
      "Line 7021: HOLLINGER\n",
      "Line 7022: HENKEL\n",
      "Line 7023: HEMINGWAY\n",
      "Line 7024: HASSON\n",
      "Line 7025: HANSEL\n",
      "Line 7026: HALTER\n",
      "Line 7027: HAIRE\n",
      "Line 7028: GOODNIGHT\n",
      "Line 7029: GINSBERG\n",
      "Line 7030: GILLISPIE\n",
      "Line 7031: FOGEL\n",
      "Line 7032: FLORY\n",
      "Line 7033: ETTER\n",
      "Line 7034: ELLEDGE\n",
      "Line 7035: ECKMAN\n",
      "Line 7036: DEAS\n",
      "Line 7037: CURRIN\n",
      "Line 7038: CRAFTON\n",
      "Line 7039: COOMER\n",
      "Line 7040: COLTER\n",
      "Line 7041: CLAXTON\n",
      "Line 7042: BULTER\n",
      "Line 7043: BRADDOCK\n",
      "Line 7044: BOWYER\n",
      "Line 7045: BLIZZARD\n",
      "Line 7046: BINNS\n",
      "Line 7047: BING\n",
      "Line 7048: BELLOWS\n",
      "Line 7049: BASKERVILLE\n",
      "Line 7050: BARROS\n",
      "Line 7051: ANSLEY\n",
      "Line 7052: WOOLF\n",
      "Line 7053: WIGHT\n",
      "Line 7054: WALDMAN\n",
      "Line 7055: WADLEY\n",
      "Line 7056: TULL\n",
      "Line 7057: TRULL\n",
      "Line 7058: TESCH\n",
      "Line 7059: STRUCK\n",
      "Line 7060: STOUFFER\n",
      "Line 7061: STADLER\n",
      "Line 7062: SLAY\n",
      "Line 7063: SHUBERT\n",
      "Line 7064: SEDILLO\n",
      "Line 7065: SANTACRUZ\n",
      "Line 7066: REINKE\n",
      "Line 7067: RALEIGH\n",
      "Line 7068: POYNTER\n",
      "Line 7069: NERI\n",
      "Line 7070: NEALE\n",
      "Line 7071: NATIVIDAD\n",
      "Line 7072: MOWRY\n",
      "Line 7073: MORALEZ\n",
      "Line 7074: MONGER\n",
      "Line 7075: MITCHUM\n",
      "Line 7076: MERRYMAN\n",
      "Line 7077: MANION\n",
      "Line 7078: MACDOUGALL\n",
      "Line 7079: LUX\n",
      "Line 7080: LITCHFIELD\n",
      "Line 7081: LEY\n",
      "Line 7082: LEVITT\n",
      "Line 7083: LEPAGE\n",
      "Line 7084: LASALLE\n",
      "Line 7085: LAINE\n",
      "Line 7086: KHOURY\n",
      "Line 7087: KAVANAGH\n",
      "Line 7088: KARNS\n",
      "Line 7089: IVIE\n",
      "Line 7090: HUEBNER\n",
      "Line 7091: HODGKINS\n",
      "Line 7092: HALPIN\n",
      "Line 7093: GARICA\n",
      "Line 7094: EVERSOLE\n",
      "Line 7095: DUTRA\n",
      "Line 7096: DUNAGAN\n",
      "Line 7097: DUFFEY\n",
      "Line 7098: DILLMAN\n",
      "Line 7099: DILLION\n",
      "Line 7100: DEVILLE\n",
      "Line 7101: DEARBORN\n",
      "Line 7102: DAMATO\n",
      "Line 7103: COURSON\n",
      "Line 7104: COULSON\n",
      "Line 7105: BURDINE\n",
      "Line 7106: BRYCE\n",
      "Line 7107: BOUSQUET\n",
      "Line 7108: BONIN\n",
      "Line 7109: BISH\n",
      "Line 7110: ATENCIO\n",
      "Line 7111: WESTBROOKS\n",
      "Line 7112: WAGES\n",
      "Line 7113: VACA\n",
      "Line 7114: TYE\n",
      "Line 7115: TONER\n",
      "Line 7116: TOMAS\n",
      "Line 7117: TILLIS\n",
      "Line 7118: SWETT\n",
      "Line 7119: SURFACE\n",
      "Line 7120: STRUBLE\n",
      "Line 7121: STANFILL\n",
      "Line 7122: SON\n",
      "Line 7123: SOLORZANO\n",
      "Line 7124: SLUSHER\n",
      "Line 7125: SIPPLE\n",
      "Line 7126: SIM\n",
      "Line 7127: SILVAS\n",
      "Line 7128: SHULTS\n",
      "Line 7129: SCHEXNAYDER\n",
      "Line 7130: SAEZ\n",
      "Line 7131: RODAS\n",
      "Line 7132: RAGER\n",
      "Line 7133: PULVER\n",
      "Line 7134: PLAZA\n",
      "Line 7135: PENTON\n",
      "Line 7136: PANIAGUA\n",
      "Line 7137: MENESES\n",
      "Line 7138: MCFARLIN\n",
      "Line 7139: MCAULEY\n",
      "Line 7140: MATZ\n",
      "Line 7141: MALOY\n",
      "Line 7142: MAGRUDER\n",
      "Line 7143: LOHMAN\n",
      "Line 7144: LANDA\n",
      "Line 7145: LACOMBE\n",
      "Line 7146: JAIMES\n",
      "Line 7147: HOM\n",
      "Line 7148: HOLZER\n",
      "Line 7149: HOLST\n",
      "Line 7150: HEIL\n",
      "Line 7151: HACKLER\n",
      "Line 7152: GRUNDY\n",
      "Line 7153: GREGOR\n",
      "Line 7154: GILKEY\n",
      "Line 7155: FARNHAM\n",
      "Line 7156: DURFEE\n",
      "Line 7157: DUNTON\n",
      "Line 7158: DUNSTON\n",
      "Line 7159: DUDA\n",
      "Line 7160: DEWS\n",
      "Line 7161: DANA\n",
      "Line 7162: CRAVER\n",
      "Line 7163: CORRIVEAU\n",
      "Line 7164: CONWELL\n",
      "Line 7165: COLELLA\n",
      "Line 7166: CHAMBLESS\n",
      "Line 7167: BREMER\n",
      "Line 7168: BOUTTE\n",
      "Line 7169: BOURASSA\n",
      "Line 7170: BLAISDELL\n",
      "Line 7171: BACKMAN\n",
      "Line 7172: BABINEAUX\n",
      "Line 7173: AUDETTE\n",
      "Line 7174: ALLEMAN\n",
      "Line 7175: TOWNER\n",
      "Line 7176: TAVERAS\n",
      "Line 7177: TARANGO\n",
      "Line 7178: SULLINS\n",
      "Line 7179: SUITER\n",
      "Line 7180: STALLARD\n",
      "Line 7181: SOLBERG\n",
      "Line 7182: SCHLUETER\n",
      "Line 7183: POULOS\n",
      "Line 7184: PIMENTAL\n",
      "Line 7185: OWSLEY\n",
      "Line 7186: OLIVIER\n",
      "Line 7187: OKELLEY\n",
      "Line 7188: NATIONS\n",
      "Line 7189: MOFFATT\n",
      "Line 7190: METCALFE\n",
      "Line 7191: MEEKINS\n",
      "Line 7192: MEDELLIN\n",
      "Line 7193: MCGLYNN\n",
      "Line 7194: MCCOWAN\n",
      "Line 7195: MARRIOTT\n",
      "Line 7196: MARABLE\n",
      "Line 7197: LENNOX\n",
      "Line 7198: LAMOUREUX\n",
      "Line 7199: KOSS\n",
      "Line 7200: KERBY\n",
      "Line 7201: KARP\n",
      "Line 7202: JASON\n",
      "Line 7203: ISENBERG\n",
      "Line 7204: HOWZE\n",
      "Line 7205: HOCKENBERRY\n",
      "Line 7206: HIGHSMITH\n",
      "Line 7207: HARBOUR\n",
      "Line 7208: HALLMARK\n",
      "Line 7209: GUSMAN\n",
      "Line 7210: GREELEY\n",
      "Line 7211: GIDDINGS\n",
      "Line 7212: GAUDET\n",
      "Line 7213: GALLUP\n",
      "Line 7214: FLEENOR\n",
      "Line 7215: EICHER\n",
      "Line 7216: EDINGTON\n",
      "Line 7217: DIMAGGIO\n",
      "Line 7218: DEMENT\n",
      "Line 7219: DEMELLO\n",
      "Line 7220: DECASTRO\n",
      "Line 7221: CRUISE\n",
      "Line 7222: BUSHMAN\n",
      "Line 7223: BRUNDAGE\n",
      "Line 7224: BROOKER\n",
      "Line 7225: BROOKE\n",
      "Line 7226: BOURG\n",
      "Line 7227: BOARD\n",
      "Line 7228: BLACKSTOCK\n",
      "Line 7229: BERGMANN\n",
      "Line 7230: BEATON\n",
      "Line 7231: BANISTER\n",
      "Line 7232: ARGO\n",
      "Line 7233: APPLING\n",
      "Line 7234: WORTMAN\n",
      "Line 7235: WATTERSON\n",
      "Line 7236: VILLALPANDO\n",
      "Line 7237: TILLOTSON\n",
      "Line 7238: TIGHE\n",
      "Line 7239: SUNDBERG\n",
      "Line 7240: STERNBERG\n",
      "Line 7241: STAMEY\n",
      "Line 7242: SPEAKS\n",
      "Line 7243: SHIPE\n",
      "Line 7244: SEEGER\n",
      "Line 7245: SCARBERRY\n",
      "Line 7246: SATTLER\n",
      "Line 7247: SAIN\n",
      "Line 7248: ROTHSTEIN\n",
      "Line 7249: POTEET\n",
      "Line 7250: PLOWMAN\n",
      "Line 7251: PETTIFORD\n",
      "Line 7252: PENLAND\n",
      "Line 7253: PEACH\n",
      "Line 7254: PARTAIN\n",
      "Line 7255: PANKEY\n",
      "Line 7256: OYLER\n",
      "Line 7257: OGLETREE\n",
      "Line 7258: OGBURN\n",
      "Line 7259: MOTON\n",
      "Line 7260: MILLION\n",
      "Line 7261: MERKEL\n",
      "Line 7262: MASK\n",
      "Line 7263: MARKUS\n",
      "Line 7264: LUCIER\n",
      "Line 7265: LAZARUS\n",
      "Line 7266: LAVELLE\n",
      "Line 7267: LAKEY\n",
      "Line 7268: KRATZ\n",
      "Line 7269: KINSER\n",
      "Line 7270: KERSHAW\n",
      "Line 7271: JOSEPHSON\n",
      "Line 7272: JESSE\n",
      "Line 7273: IMHOFF\n",
      "Line 7274: IBANEZ\n",
      "Line 7275: HENDRY\n",
      "Line 7276: HAMMON\n",
      "Line 7277: FRISBIE\n",
      "Line 7278: FRIEDRICH\n",
      "Line 7279: FRAWLEY\n",
      "Line 7280: FRAGA\n",
      "Line 7281: FORESTER\n",
      "Line 7282: ESKEW\n",
      "Line 7283: EMMERT\n",
      "Line 7284: DRENNAN\n",
      "Line 7285: DOYON\n",
      "Line 7286: DOMINICK\n",
      "Line 7287: DANDRIDGE\n",
      "Line 7288: CUMMING\n",
      "Line 7289: CAWLEY\n",
      "Line 7290: CARVAJAL\n",
      "Line 7291: BRACEY\n",
      "Line 7292: BELISLE\n",
      "Line 7293: BATEY\n",
      "Line 7294: AHNER\n",
      "Line 7295: WYSOCKI\n",
      "Line 7296: WEISER\n",
      "Line 7297: VELIZ\n",
      "Line 7298: TINCHER\n",
      "Line 7299: SHERLOCK\n",
      "Line 7300: SANTO\n",
      "Line 7301: SANSONE\n",
      "Line 7302: SANKEY\n",
      "Line 7303: SANDSTROM\n",
      "Line 7304: SALE\n",
      "Line 7305: ROHRER\n",
      "Line 7306: RISNER\n",
      "Line 7307: PRIDEMORE\n",
      "Line 7308: PFEFFER\n",
      "Line 7309: PERSINGER\n",
      "Line 7310: PEERY\n",
      "Line 7311: OUBRE\n",
      "Line 7312: ORANGE\n",
      "Line 7313: NOWICKI\n",
      "Line 7314: MUSGRAVE\n",
      "Line 7315: MURDOCH\n",
      "Line 7316: MULLINAX\n",
      "Line 7317: MCCARY\n",
      "Line 7318: MATHIEU\n",
      "Line 7319: LIVENGOOD\n",
      "Line 7320: LEONARDO\n",
      "Line 7321: KYSER\n",
      "Line 7322: KLINK\n",
      "Line 7323: KIMES\n",
      "Line 7324: KELLNER\n",
      "Line 7325: KAVANAUGH\n",
      "Line 7326: KASTEN\n",
      "Line 7327: IMES\n",
      "Line 7328: HOEY\n",
      "Line 7329: HINSHAW\n",
      "Line 7330: HALLEY\n",
      "Line 7331: HAKE\n",
      "Line 7332: GURULE\n",
      "Line 7333: GRUBE\n",
      "Line 7334: GRILLO\n",
      "Line 7335: GETER\n",
      "Line 7336: GATTO\n",
      "Line 7337: GARVER\n",
      "Line 7338: GARRETSON\n",
      "Line 7339: FARWELL\n",
      "Line 7340: EILAND\n",
      "Line 7341: DUNFORD\n",
      "Line 7342: DECARLO\n",
      "Line 7343: CORSO\n",
      "Line 7344: CORE\n",
      "Line 7345: COLMAN\n",
      "Line 7346: COLLARD\n",
      "Line 7347: CLEGHORN\n",
      "Line 7348: CHASTEEN\n",
      "Line 7349: CAVENDER\n",
      "Line 7350: CARLILE\n",
      "Line 7351: CALVO\n",
      "Line 7352: BYERLY\n",
      "Line 7353: BROGDON\n",
      "Line 7354: BROADWATER\n",
      "Line 7355: BREAULT\n",
      "Line 7356: BONO\n",
      "Line 7357: BERGIN\n",
      "Line 7358: BEHR\n",
      "Line 7359: BALLENGER\n",
      "Line 7360: AMICK\n",
      "Line 7361: YAN\n",
      "Line 7362: VICE\n",
      "Line 7363: TAMEZ\n",
      "Line 7364: STIFFLER\n",
      "Line 7365: STEINKE\n",
      "Line 7366: SIMMON\n",
      "Line 7367: SHANKLE\n",
      "Line 7368: SCHALLER\n",
      "Line 7369: SALMONS\n",
      "Line 7370: SACKETT\n",
      "Line 7371: SAAD\n",
      "Line 7372: RIDEOUT\n",
      "Line 7373: READER\n",
      "Line 7374: RATCLIFFE\n",
      "Line 7375: RAO\n",
      "Line 7376: RANSON\n",
      "Line 7377: RANDELL\n",
      "Line 7378: PLASCENCIA\n",
      "Line 7379: PETTERSON\n",
      "Line 7380: OLSZEWSKI\n",
      "Line 7381: OLNEY\n",
      "Line 7382: OLGUIN\n",
      "Line 7383: NILSSON\n",
      "Line 7384: NEVELS\n",
      "Line 7385: MORELLI\n",
      "Line 7386: MONTIEL\n",
      "Line 7387: MONGE\n",
      "Line 7388: MICHELL\n",
      "Line 7389: MICHAELSON\n",
      "Line 7390: MERTENS\n",
      "Line 7391: MCCHESNEY\n",
      "Line 7392: MCALPIN\n",
      "Line 7393: MATHEWSON\n",
      "Line 7394: LOWER\n",
      "Line 7395: LOUDERMILK\n",
      "Line 7396: LINEBERRY\n",
      "Line 7397: LIGGETT\n",
      "Line 7398: LAMP\n",
      "Line 7399: KINLAW\n",
      "Line 7400: KIGHT\n",
      "Line 7401: JUST\n",
      "Line 7402: JOST\n",
      "Line 7403: HEREFORD\n",
      "Line 7404: HARDEMAN\n",
      "Line 7405: HALPERN\n",
      "Line 7406: HALLIDAY\n",
      "Line 7407: HAFER\n",
      "Line 7408: GAUL\n",
      "Line 7409: FRIEL\n",
      "Line 7410: FREITAG\n",
      "Line 7411: FRANCES\n",
      "Line 7412: FORSBERG\n",
      "Line 7413: EVANGELISTA\n",
      "Line 7414: DOERING\n",
      "Line 7415: DICARLO\n",
      "Line 7416: DENDY\n",
      "Line 7417: DELP\n",
      "Line 7418: DEGUZMAN\n",
      "Line 7419: DAMERON\n",
      "Line 7420: CURTISS\n",
      "Line 7421: COUSIN\n",
      "Line 7422: COSPER\n",
      "Line 7423: CHARLEY\n",
      "Line 7424: CAUTHEN\n",
      "Line 7425: CAO\n",
      "Line 7426: CAMPER\n",
      "Line 7427: BRADBERRY\n",
      "Line 7428: BOUTON\n",
      "Line 7429: BONNELL\n",
      "Line 7430: BIXBY\n",
      "Line 7431: BIEBER\n",
      "Line 7432: BEVERIDGE\n",
      "Line 7433: BELLE\n",
      "Line 7434: BEDWELL\n",
      "Line 7435: BARHORST\n",
      "Line 7436: BANNON\n",
      "Line 7437: BALTAZAR\n",
      "Line 7438: BAIER\n",
      "Line 7439: AYOTTE\n",
      "Line 7440: ATTAWAY\n",
      "Line 7441: ARENAS\n",
      "Line 7442: ALEX\n",
      "Line 7443: ABREGO\n",
      "Line 7444: WATFORD\n",
      "Line 7445: VALLEY\n",
      "Line 7446: TURGEON\n",
      "Line 7447: TUNSTALL\n",
      "Line 7448: THAXTON\n",
      "Line 7449: THAI\n",
      "Line 7450: TENORIO\n",
      "Line 7451: STOTTS\n",
      "Line 7452: STHILAIRE\n",
      "Line 7453: SPIKER\n",
      "Line 7454: SHEDD\n",
      "Line 7455: SENG\n",
      "Line 7456: SEABOLT\n",
      "Line 7457: SCALF\n",
      "Line 7458: SALYERS\n",
      "Line 7459: RUHL\n",
      "Line 7460: ROWLETT\n",
      "Line 7461: ROBINETT\n",
      "Line 7462: PFISTER\n",
      "Line 7463: PERLMAN\n",
      "Line 7464: PEPE\n",
      "Line 7465: PARKMAN\n",
      "Line 7466: PARADISE\n",
      "Line 7467: OLIN\n",
      "Line 7468: NUNNALLY\n",
      "Line 7469: NORVELL\n",
      "Line 7470: NAPPER\n",
      "Line 7471: MODLIN\n",
      "Line 7472: MCKELLAR\n",
      "Line 7473: MCCLEAN\n",
      "Line 7474: MASCARENAS\n",
      "Line 7475: MANCHESTER\n",
      "Line 7476: LEIBOWITZ\n",
      "Line 7477: LEDEZMA\n",
      "Line 7478: KUHLMAN\n",
      "Line 7479: KOBAYASHI\n",
      "Line 7480: HUNLEY\n",
      "Line 7481: HOLMQUIST\n",
      "Line 7482: HINKLEY\n",
      "Line 7483: HAZARD\n",
      "Line 7484: HARTSELL\n",
      "Line 7485: GRIBBLE\n",
      "Line 7486: GRAVELY\n",
      "Line 7487: FIFIELD\n",
      "Line 7488: ELIASON\n",
      "Line 7489: DOCTOR\n",
      "Line 7490: DOAK\n",
      "Line 7491: CROSSLAND\n",
      "Line 7492: COVER\n",
      "Line 7493: CLAIR\n",
      "Line 7494: CARLETON\n",
      "Line 7495: BUTTERS\n",
      "Line 7496: BRIDGEMAN\n",
      "Line 7497: BOJORQUEZ\n",
      "Line 7498: BOGGESS\n",
      "Line 7499: BANKER\n",
      "Line 7500: AUTEN\n",
      "Line 7501: JAMES\n",
      "Line 7502: JOHN\n",
      "Line 7503: ROBERT\n",
      "Line 7504: MICHAEL\n",
      "Line 7505: WILLIAM\n",
      "Line 7506: DAVID\n",
      "Line 7507: RICHARD\n",
      "Line 7508: CHARLES\n",
      "Line 7509: JOSEPH\n",
      "Line 7510: THOMAS\n",
      "Line 7511: CHRISTOPHER\n",
      "Line 7512: DANIEL\n",
      "Line 7513: PAUL\n",
      "Line 7514: MARK\n",
      "Line 7515: DONALD\n",
      "Line 7516: GEORGE\n",
      "Line 7517: KENNETH\n",
      "Line 7518: STEVEN\n",
      "Line 7519: EDWARD\n",
      "Line 7520: BRIAN\n",
      "Line 7521: RONALD\n",
      "Line 7522: ANTHONY\n",
      "Line 7523: KEVIN\n",
      "Line 7524: JASON\n",
      "Line 7525: MATTHEW\n",
      "Line 7526: GARY\n",
      "Line 7527: TIMOTHY\n",
      "Line 7528: JOSE\n",
      "Line 7529: LARRY\n",
      "Line 7530: JEFFREY\n",
      "Line 7531: FRANK\n",
      "Line 7532: SCOTT\n",
      "Line 7533: ERIC\n",
      "Line 7534: STEPHEN\n",
      "Line 7535: ANDREW\n",
      "Line 7536: RAYMOND\n",
      "Line 7537: GREGORY\n",
      "Line 7538: JOSHUA\n",
      "Line 7539: JERRY\n",
      "Line 7540: DENNIS\n",
      "Line 7541: WALTER\n",
      "Line 7542: PATRICK\n",
      "Line 7543: PETER\n",
      "Line 7544: HAROLD\n",
      "Line 7545: DOUGLAS\n",
      "Line 7546: HENRY\n",
      "Line 7547: CARL\n",
      "Line 7548: ARTHUR\n",
      "Line 7549: RYAN\n",
      "Line 7550: ROGER\n",
      "Line 7551: JOE\n",
      "Line 7552: JUAN\n",
      "Line 7553: JACK\n",
      "Line 7554: ALBERT\n",
      "Line 7555: JONATHAN\n",
      "Line 7556: JUSTIN\n",
      "Line 7557: TERRY\n",
      "Line 7558: GERALD\n",
      "Line 7559: KEITH\n",
      "Line 7560: SAMUEL\n",
      "Line 7561: WILLIE\n",
      "Line 7562: RALPH\n",
      "Line 7563: LAWRENCE\n",
      "Line 7564: NICHOLAS\n",
      "Line 7565: ROY\n",
      "Line 7566: BENJAMIN\n",
      "Line 7567: BRUCE\n",
      "Line 7568: BRANDON\n",
      "Line 7569: ADAM\n",
      "Line 7570: HARRY\n",
      "Line 7571: FRED\n",
      "Line 7572: WAYNE\n",
      "Line 7573: BILLY\n",
      "Line 7574: STEVE\n",
      "Line 7575: LOUIS\n",
      "Line 7576: JEREMY\n",
      "Line 7577: AARON\n",
      "Line 7578: RANDY\n",
      "Line 7579: HOWARD\n",
      "Line 7580: EUGENE\n",
      "Line 7581: CARLOS\n",
      "Line 7582: RUSSELL\n",
      "Line 7583: BOBBY\n",
      "Line 7584: VICTOR\n",
      "Line 7585: MARTIN\n",
      "Line 7586: ERNEST\n",
      "Line 7587: PHILLIP\n",
      "Line 7588: TODD\n",
      "Line 7589: JESSE\n",
      "Line 7590: CRAIG\n",
      "Line 7591: ALAN\n",
      "Line 7592: SHAWN\n",
      "Line 7593: CLARENCE\n",
      "Line 7594: SEAN\n",
      "Line 7595: PHILIP\n",
      "Line 7596: CHRIS\n",
      "Line 7597: JOHNNY\n",
      "Line 7598: EARL\n",
      "Line 7599: JIMMY\n",
      "Line 7600: ANTONIO\n",
      "Line 7601: DANNY\n",
      "Line 7602: BRYAN\n",
      "Line 7603: TONY\n",
      "Line 7604: LUIS\n",
      "Line 7605: MIKE\n",
      "Line 7606: STANLEY\n",
      "Line 7607: LEONARD\n",
      "Line 7608: NATHAN\n",
      "Line 7609: DALE\n",
      "Line 7610: MANUEL\n",
      "Line 7611: RODNEY\n",
      "Line 7612: CURTIS\n",
      "Line 7613: NORMAN\n",
      "Line 7614: ALLEN\n",
      "Line 7615: MARVIN\n",
      "Line 7616: VINCENT\n",
      "Line 7617: GLENN\n",
      "Line 7618: JEFFERY\n",
      "Line 7619: TRAVIS\n",
      "Line 7620: JEFF\n",
      "Line 7621: CHAD\n",
      "Line 7622: JACOB\n",
      "Line 7623: LEE\n",
      "Line 7624: MELVIN\n",
      "Line 7625: ALFRED\n",
      "Line 7626: KYLE\n",
      "Line 7627: FRANCIS\n",
      "Line 7628: BRADLEY\n",
      "Line 7629: JESUS\n",
      "Line 7630: HERBERT\n",
      "Line 7631: FREDERICK\n",
      "Line 7632: RAY\n",
      "Line 7633: JOEL\n",
      "Line 7634: EDWIN\n",
      "Line 7635: DON\n",
      "Line 7636: EDDIE\n",
      "Line 7637: RICKY\n",
      "Line 7638: TROY\n",
      "Line 7639: RANDALL\n",
      "Line 7640: BARRY\n",
      "Line 7641: ALEXANDER\n",
      "Line 7642: BERNARD\n",
      "Line 7643: MARIO\n",
      "Line 7644: LEROY\n",
      "Line 7645: FRANCISCO\n",
      "Line 7646: MARCUS\n",
      "Line 7647: MICHEAL\n",
      "Line 7648: THEODORE\n",
      "Line 7649: CLIFFORD\n",
      "Line 7650: MIGUEL\n",
      "Line 7651: OSCAR\n",
      "Line 7652: JAY\n",
      "Line 7653: JIM\n",
      "Line 7654: TOM\n",
      "Line 7655: CALVIN\n",
      "Line 7656: ALEX\n",
      "Line 7657: JON\n",
      "Line 7658: RONNIE\n",
      "Line 7659: BILL\n",
      "Line 7660: LLOYD\n",
      "Line 7661: TOMMY\n",
      "Line 7662: LEON\n",
      "Line 7663: DEREK\n",
      "Line 7664: WARREN\n",
      "Line 7665: DARRELL\n",
      "Line 7666: JEROME\n",
      "Line 7667: FLOYD\n",
      "Line 7668: LEO\n",
      "Line 7669: ALVIN\n",
      "Line 7670: TIM\n",
      "Line 7671: WESLEY\n",
      "Line 7672: GORDON\n",
      "Line 7673: DEAN\n",
      "Line 7674: GREG\n",
      "Line 7675: JORGE\n",
      "Line 7676: DUSTIN\n",
      "Line 7677: PEDRO\n",
      "Line 7678: DERRICK\n",
      "Line 7679: DAN\n",
      "Line 7680: LEWIS\n",
      "Line 7681: ZACHARY\n",
      "Line 7682: COREY\n",
      "Line 7683: HERMAN\n",
      "Line 7684: MAURICE\n",
      "Line 7685: VERNON\n",
      "Line 7686: ROBERTO\n",
      "Line 7687: CLYDE\n",
      "Line 7688: GLEN\n",
      "Line 7689: HECTOR\n",
      "Line 7690: SHANE\n",
      "Line 7691: RICARDO\n",
      "Line 7692: SAM\n",
      "Line 7693: RICK\n",
      "Line 7694: LESTER\n",
      "Line 7695: BRENT\n",
      "Line 7696: RAMON\n",
      "Line 7697: CHARLIE\n",
      "Line 7698: TYLER\n",
      "Line 7699: GILBERT\n",
      "Line 7700: GENE\n",
      "Line 7701: MARC\n",
      "Line 7702: REGINALD\n",
      "Line 7703: RUBEN\n",
      "Line 7704: BRETT\n",
      "Line 7705: ANGEL\n",
      "Line 7706: NATHANIEL\n",
      "Line 7707: RAFAEL\n",
      "Line 7708: LESLIE\n",
      "Line 7709: EDGAR\n",
      "Line 7710: MILTON\n",
      "Line 7711: RAUL\n",
      "Line 7712: BEN\n",
      "Line 7713: CHESTER\n",
      "Line 7714: CECIL\n",
      "Line 7715: DUANE\n",
      "Line 7716: FRANKLIN\n",
      "Line 7717: ANDRE\n",
      "Line 7718: ELMER\n",
      "Line 7719: BRAD\n",
      "Line 7720: GABRIEL\n",
      "Line 7721: RON\n",
      "Line 7722: MITCHELL\n",
      "Line 7723: ROLAND\n",
      "Line 7724: ARNOLD\n",
      "Line 7725: HARVEY\n",
      "Line 7726: JARED\n",
      "Line 7727: ADRIAN\n",
      "Line 7728: KARL\n",
      "Line 7729: CORY\n",
      "Line 7730: CLAUDE\n",
      "Line 7731: ERIK\n",
      "Line 7732: DARRYL\n",
      "Line 7733: JAMIE\n",
      "Line 7734: NEIL\n",
      "Line 7735: JESSIE\n",
      "Line 7736: CHRISTIAN\n",
      "Line 7737: JAVIER\n",
      "Line 7738: FERNANDO\n",
      "Line 7739: CLINTON\n",
      "Line 7740: TED\n",
      "Line 7741: MATHEW\n",
      "Line 7742: TYRONE\n",
      "Line 7743: DARREN\n",
      "Line 7744: LONNIE\n",
      "Line 7745: LANCE\n",
      "Line 7746: CODY\n",
      "Line 7747: JULIO\n",
      "Line 7748: KELLY\n",
      "Line 7749: KURT\n",
      "Line 7750: ALLAN\n",
      "Line 7751: NELSON\n",
      "Line 7752: GUY\n",
      "Line 7753: CLAYTON\n",
      "Line 7754: HUGH\n",
      "Line 7755: MAX\n",
      "Line 7756: DWAYNE\n",
      "Line 7757: DWIGHT\n",
      "Line 7758: ARMANDO\n",
      "Line 7759: FELIX\n",
      "Line 7760: JIMMIE\n",
      "Line 7761: EVERETT\n",
      "Line 7762: JORDAN\n",
      "Line 7763: IAN\n",
      "Line 7764: WALLACE\n",
      "Line 7765: KEN\n",
      "Line 7766: BOB\n",
      "Line 7767: JAIME\n",
      "Line 7768: CASEY\n",
      "Line 7769: ALFREDO\n",
      "Line 7770: ALBERTO\n",
      "Line 7771: DAVE\n",
      "Line 7772: IVAN\n",
      "Line 7773: JOHNNIE\n",
      "Line 7774: SIDNEY\n",
      "Line 7775: BYRON\n",
      "Line 7776: JULIAN\n",
      "Line 7777: ISAAC\n",
      "Line 7778: MORRIS\n",
      "Line 7779: CLIFTON\n",
      "Line 7780: WILLARD\n",
      "Line 7781: DARYL\n",
      "Line 7782: ROSS\n",
      "Line 7783: VIRGIL\n",
      "Line 7784: ANDY\n",
      "Line 7785: MARSHALL\n",
      "Line 7786: SALVADOR\n",
      "Line 7787: PERRY\n",
      "Line 7788: KIRK\n",
      "Line 7789: SERGIO\n",
      "Line 7790: MARION\n",
      "Line 7791: TRACY\n",
      "Line 7792: SETH\n",
      "Line 7793: KENT\n",
      "Line 7794: TERRANCE\n",
      "Line 7795: RENE\n",
      "Line 7796: EDUARDO\n",
      "Line 7797: TERRENCE\n",
      "Line 7798: ENRIQUE\n",
      "Line 7799: FREDDIE\n",
      "Line 7800: WADE\n",
      "Line 7801: AUSTIN\n",
      "Line 7802: STUART\n",
      "Line 7803: FREDRICK\n",
      "Line 7804: ARTURO\n",
      "Line 7805: ALEJANDRO\n",
      "Line 7806: JACKIE\n",
      "Line 7807: JOEY\n",
      "Line 7808: NICK\n",
      "Line 7809: LUTHER\n",
      "Line 7810: WENDELL\n",
      "Line 7811: JEREMIAH\n",
      "Line 7812: EVAN\n",
      "Line 7813: JULIUS\n",
      "Line 7814: DANA\n",
      "Line 7815: DONNIE\n",
      "Line 7816: OTIS\n",
      "Line 7817: SHANNON\n",
      "Line 7818: TREVOR\n",
      "Line 7819: OLIVER\n",
      "Line 7820: LUKE\n",
      "Line 7821: HOMER\n",
      "Line 7822: GERARD\n",
      "Line 7823: DOUG\n",
      "Line 7824: KENNY\n",
      "Line 7825: HUBERT\n",
      "Line 7826: ANGELO\n",
      "Line 7827: SHAUN\n",
      "Line 7828: LYLE\n",
      "Line 7829: MATT\n",
      "Line 7830: LYNN\n",
      "Line 7831: ALFONSO\n",
      "Line 7832: ORLANDO\n",
      "Line 7833: REX\n",
      "Line 7834: CARLTON\n",
      "Line 7835: ERNESTO\n",
      "Line 7836: CAMERON\n",
      "Line 7837: NEAL\n",
      "Line 7838: PABLO\n",
      "Line 7839: LORENZO\n",
      "Line 7840: OMAR\n",
      "Line 7841: WILBUR\n",
      "Line 7842: BLAKE\n",
      "Line 7843: GRANT\n",
      "Line 7844: HORACE\n",
      "Line 7845: RODERICK\n",
      "Line 7846: KERRY\n",
      "Line 7847: ABRAHAM\n",
      "Line 7848: WILLIS\n",
      "Line 7849: RICKEY\n",
      "Line 7850: JEAN\n",
      "Line 7851: IRA\n",
      "Line 7852: ANDRES\n",
      "Line 7853: CESAR\n",
      "Line 7854: JOHNATHAN\n",
      "Line 7855: MALCOLM\n",
      "Line 7856: RUDOLPH\n",
      "Line 7857: DAMON\n",
      "Line 7858: KELVIN\n",
      "Line 7859: RUDY\n",
      "Line 7860: PRESTON\n",
      "Line 7861: ALTON\n",
      "Line 7862: ARCHIE\n",
      "Line 7863: MARCO\n",
      "Line 7864: WM\n",
      "Line 7865: PETE\n",
      "Line 7866: RANDOLPH\n",
      "Line 7867: GARRY\n",
      "Line 7868: GEOFFREY\n",
      "Line 7869: JONATHON\n",
      "Line 7870: FELIPE\n",
      "Line 7871: BENNIE\n",
      "Line 7872: GERARDO\n",
      "Line 7873: ED\n",
      "Line 7874: DOMINIC\n",
      "Line 7875: ROBIN\n",
      "Line 7876: LOREN\n",
      "Line 7877: DELBERT\n",
      "Line 7878: COLIN\n",
      "Line 7879: GUILLERMO\n",
      "Line 7880: EARNEST\n",
      "Line 7881: LUCAS\n",
      "Line 7882: BENNY\n",
      "Line 7883: NOEL\n",
      "Line 7884: SPENCER\n",
      "Line 7885: RODOLFO\n",
      "Line 7886: MYRON\n",
      "Line 7887: EDMUND\n",
      "Line 7888: GARRETT\n",
      "Line 7889: SALVATORE\n",
      "Line 7890: CEDRIC\n",
      "Line 7891: LOWELL\n",
      "Line 7892: GREGG\n",
      "Line 7893: SHERMAN\n",
      "Line 7894: WILSON\n",
      "Line 7895: DEVIN\n",
      "Line 7896: SYLVESTER\n",
      "Line 7897: KIM\n",
      "Line 7898: ROOSEVELT\n",
      "Line 7899: ISRAEL\n",
      "Line 7900: JERMAINE\n",
      "Line 7901: FORREST\n",
      "Line 7902: WILBERT\n",
      "Line 7903: LELAND\n",
      "Line 7904: SIMON\n",
      "Line 7905: GUADALUPE\n",
      "Line 7906: CLARK\n",
      "Line 7907: IRVING\n",
      "Line 7908: CARROLL\n",
      "Line 7909: BRYANT\n",
      "Line 7910: OWEN\n",
      "Line 7911: RUFUS\n",
      "Line 7912: WOODROW\n",
      "Line 7913: SAMMY\n",
      "Line 7914: KRISTOPHER\n",
      "Line 7915: MACK\n",
      "Line 7916: LEVI\n",
      "Line 7917: MARCOS\n",
      "Line 7918: GUSTAVO\n",
      "Line 7919: JAKE\n",
      "Line 7920: LIONEL\n",
      "Line 7921: MARTY\n",
      "Line 7922: TAYLOR\n",
      "Line 7923: ELLIS\n",
      "Line 7924: DALLAS\n",
      "Line 7925: GILBERTO\n",
      "Line 7926: CLINT\n",
      "Line 7927: NICOLAS\n",
      "Line 7928: LAURENCE\n",
      "Line 7929: ISMAEL\n",
      "Line 7930: ORVILLE\n",
      "Line 7931: DREW\n",
      "Line 7932: JODY\n",
      "Line 7933: ERVIN\n",
      "Line 7934: DEWEY\n",
      "Line 7935: AL\n",
      "Line 7936: WILFRED\n",
      "Line 7937: JOSH\n",
      "Line 7938: HUGO\n",
      "Line 7939: IGNACIO\n",
      "Line 7940: CALEB\n",
      "Line 7941: TOMAS\n",
      "Line 7942: SHELDON\n",
      "Line 7943: ERICK\n",
      "Line 7944: FRANKIE\n",
      "Line 7945: STEWART\n",
      "Line 7946: DOYLE\n",
      "Line 7947: DARREL\n",
      "Line 7948: ROGELIO\n",
      "Line 7949: TERENCE\n",
      "Line 7950: SANTIAGO\n",
      "Line 7951: ALONZO\n",
      "Line 7952: ELIAS\n",
      "Line 7953: BERT\n",
      "Line 7954: ELBERT\n",
      "Line 7955: RAMIRO\n",
      "Line 7956: CONRAD\n",
      "Line 7957: PAT\n",
      "Line 7958: NOAH\n",
      "Line 7959: GRADY\n",
      "Line 7960: PHIL\n",
      "Line 7961: CORNELIUS\n",
      "Line 7962: LAMAR\n",
      "Line 7963: ROLANDO\n",
      "Line 7964: CLAY\n",
      "Line 7965: PERCY\n",
      "Line 7966: DEXTER\n",
      "Line 7967: BRADFORD\n",
      "Line 7968: MERLE\n",
      "Line 7969: DARIN\n",
      "Line 7970: AMOS\n",
      "Line 7971: TERRELL\n",
      "Line 7972: MOSES\n",
      "Line 7973: IRVIN\n",
      "Line 7974: SAUL\n",
      "Line 7975: ROMAN\n",
      "Line 7976: DARNELL\n",
      "Line 7977: RANDAL\n",
      "Line 7978: TOMMIE\n",
      "Line 7979: TIMMY\n",
      "Line 7980: DARRIN\n",
      "Line 7981: WINSTON\n",
      "Line 7982: BRENDAN\n",
      "Line 7983: TOBY\n",
      "Line 7984: VAN\n",
      "Line 7985: ABEL\n",
      "Line 7986: DOMINICK\n",
      "Line 7987: BOYD\n",
      "Line 7988: COURTNEY\n",
      "Line 7989: JAN\n",
      "Line 7990: EMILIO\n",
      "Line 7991: ELIJAH\n",
      "Line 7992: CARY\n",
      "Line 7993: DOMINGO\n",
      "Line 7994: SANTOS\n",
      "Line 7995: AUBREY\n",
      "Line 7996: EMMETT\n",
      "Line 7997: MARLON\n",
      "Line 7998: EMANUEL\n",
      "Line 7999: JERALD\n",
      "Line 8000: EDMOND\n",
      "Line 8001: EMIL\n",
      "Line 8002: DEWAYNE\n",
      "Line 8003: WILL\n",
      "Line 8004: OTTO\n",
      "Line 8005: TEDDY\n",
      "Line 8006: REYNALDO\n",
      "Line 8007: BRET\n",
      "Line 8008: MORGAN\n",
      "Line 8009: JESS\n",
      "Line 8010: TRENT\n",
      "Line 8011: HUMBERTO\n",
      "Line 8012: EMMANUEL\n",
      "Line 8013: STEPHAN\n",
      "Line 8014: LOUIE\n",
      "Line 8015: VICENTE\n",
      "Line 8016: LAMONT\n",
      "Line 8017: STACY\n",
      "Line 8018: GARLAND\n",
      "Line 8019: MILES\n",
      "Line 8020: MICAH\n",
      "Line 8021: EFRAIN\n",
      "Line 8022: BILLIE\n",
      "Line 8023: LOGAN\n",
      "Line 8024: HEATH\n",
      "Line 8025: RODGER\n",
      "Line 8026: HARLEY\n",
      "Line 8027: DEMETRIUS\n",
      "Line 8028: ETHAN\n",
      "Line 8029: ELDON\n",
      "Line 8030: ROCKY\n",
      "Line 8031: PIERRE\n",
      "Line 8032: JUNIOR\n",
      "Line 8033: FREDDY\n",
      "Line 8034: ELI\n",
      "Line 8035: BRYCE\n",
      "Line 8036: ANTOINE\n",
      "Line 8037: ROBBIE\n",
      "Line 8038: KENDALL\n",
      "Line 8039: ROYCE\n",
      "Line 8040: STERLING\n",
      "Line 8041: MICKEY\n",
      "Line 8042: CHASE\n",
      "Line 8043: GROVER\n",
      "Line 8044: ELTON\n",
      "Line 8045: CLEVELAND\n",
      "Line 8046: DYLAN\n",
      "Line 8047: CHUCK\n",
      "Line 8048: DAMIAN\n",
      "Line 8049: REUBEN\n",
      "Line 8050: STAN\n",
      "Line 8051: AUGUST\n",
      "Line 8052: LEONARDO\n",
      "Line 8053: JASPER\n",
      "Line 8054: RUSSEL\n",
      "Line 8055: ERWIN\n",
      "Line 8056: BENITO\n",
      "Line 8057: HANS\n",
      "Line 8058: MONTE\n",
      "Line 8059: BLAINE\n",
      "Line 8060: ERNIE\n",
      "Line 8061: CURT\n",
      "Line 8062: QUENTIN\n",
      "Line 8063: AGUSTIN\n",
      "Line 8064: MURRAY\n",
      "Line 8065: JAMAL\n",
      "Line 8066: DEVON\n",
      "Line 8067: ADOLFO\n",
      "Line 8068: HARRISON\n",
      "Line 8069: TYSON\n",
      "Line 8070: BURTON\n",
      "Line 8071: BRADY\n",
      "Line 8072: ELLIOTT\n",
      "Line 8073: WILFREDO\n",
      "Line 8074: BART\n",
      "Line 8075: JARROD\n",
      "Line 8076: VANCE\n",
      "Line 8077: DENIS\n",
      "Line 8078: DAMIEN\n",
      "Line 8079: JOAQUIN\n",
      "Line 8080: HARLAN\n",
      "Line 8081: DESMOND\n",
      "Line 8082: ELLIOT\n",
      "Line 8083: DARWIN\n",
      "Line 8084: ASHLEY\n",
      "Line 8085: GREGORIO\n",
      "Line 8086: BUDDY\n",
      "Line 8087: XAVIER\n",
      "Line 8088: KERMIT\n",
      "Line 8089: ROSCOE\n",
      "Line 8090: ESTEBAN\n",
      "Line 8091: ANTON\n",
      "Line 8092: SOLOMON\n",
      "Line 8093: SCOTTY\n",
      "Line 8094: NORBERT\n",
      "Line 8095: ELVIN\n",
      "Line 8096: WILLIAMS\n",
      "Line 8097: NOLAN\n",
      "Line 8098: CAREY\n",
      "Line 8099: ROD\n",
      "Line 8100: QUINTON\n",
      "Line 8101: HAL\n",
      "Line 8102: BRAIN\n",
      "Line 8103: ROB\n",
      "Line 8104: ELWOOD\n",
      "Line 8105: KENDRICK\n",
      "Line 8106: DARIUS\n",
      "Line 8107: MOISES\n",
      "Line 8108: SON\n",
      "Line 8109: MARLIN\n",
      "Line 8110: FIDEL\n",
      "Line 8111: THADDEUS\n",
      "Line 8112: CLIFF\n",
      "Line 8113: MARCEL\n",
      "Line 8114: ALI\n",
      "Line 8115: JACKSON\n",
      "Line 8116: RAPHAEL\n",
      "Line 8117: BRYON\n",
      "Line 8118: ARMAND\n",
      "Line 8119: ALVARO\n",
      "Line 8120: JEFFRY\n",
      "Line 8121: DANE\n",
      "Line 8122: JOESPH\n",
      "Line 8123: THURMAN\n",
      "Line 8124: NED\n",
      "Line 8125: SAMMIE\n",
      "Line 8126: RUSTY\n",
      "Line 8127: MICHEL\n",
      "Line 8128: MONTY\n",
      "Line 8129: RORY\n",
      "Line 8130: FABIAN\n",
      "Line 8131: REGGIE\n",
      "Line 8132: MASON\n",
      "Line 8133: GRAHAM\n",
      "Line 8134: KRIS\n",
      "Line 8135: ISAIAH\n",
      "Line 8136: VAUGHN\n",
      "Line 8137: GUS\n",
      "Line 8138: AVERY\n",
      "Line 8139: LOYD\n",
      "Line 8140: DIEGO\n",
      "Line 8141: ALEXIS\n",
      "Line 8142: ADOLPH\n",
      "Line 8143: NORRIS\n",
      "Line 8144: MILLARD\n",
      "Line 8145: ROCCO\n",
      "Line 8146: GONZALO\n",
      "Line 8147: DERICK\n",
      "Line 8148: RODRIGO\n",
      "Line 8149: GERRY\n",
      "Line 8150: STACEY\n",
      "Line 8151: CARMEN\n",
      "Line 8152: WILEY\n",
      "Line 8153: RIGOBERTO\n",
      "Line 8154: ALPHONSO\n",
      "Line 8155: TY\n",
      "Line 8156: SHELBY\n",
      "Line 8157: RICKIE\n",
      "Line 8158: NOE\n",
      "Line 8159: VERN\n",
      "Line 8160: BOBBIE\n",
      "Line 8161: REED\n",
      "Line 8162: JEFFERSON\n",
      "Line 8163: ELVIS\n",
      "Line 8164: BERNARDO\n",
      "Line 8165: MAURICIO\n",
      "Line 8166: HIRAM\n",
      "Line 8167: DONOVAN\n",
      "Line 8168: BASIL\n",
      "Line 8169: RILEY\n",
      "Line 8170: OLLIE\n",
      "Line 8171: NICKOLAS\n",
      "Line 8172: MAYNARD\n",
      "Line 8173: SCOT\n",
      "Line 8174: VINCE\n",
      "Line 8175: QUINCY\n",
      "Line 8176: EDDY\n",
      "Line 8177: SEBASTIAN\n",
      "Line 8178: FEDERICO\n",
      "Line 8179: ULYSSES\n",
      "Line 8180: HERIBERTO\n",
      "Line 8181: DONNELL\n",
      "Line 8182: COLE\n",
      "Line 8183: DENNY\n",
      "Line 8184: DAVIS\n",
      "Line 8185: GAVIN\n",
      "Line 8186: EMERY\n",
      "Line 8187: WARD\n",
      "Line 8188: ROMEO\n",
      "Line 8189: JAYSON\n",
      "Line 8190: DION\n",
      "Line 8191: DANTE\n",
      "Line 8192: CLEMENT\n",
      "Line 8193: COY\n",
      "Line 8194: ODELL\n",
      "Line 8195: MAXWELL\n",
      "Line 8196: JARVIS\n",
      "Line 8197: BRUNO\n",
      "Line 8198: ISSAC\n",
      "Line 8199: MARY\n",
      "Line 8200: DUDLEY\n",
      "Line 8201: BROCK\n",
      "Line 8202: SANFORD\n",
      "Line 8203: COLBY\n",
      "Line 8204: CARMELO\n",
      "Line 8205: BARNEY\n",
      "Line 8206: NESTOR\n",
      "Line 8207: HOLLIS\n",
      "Line 8208: STEFAN\n",
      "Line 8209: DONNY\n",
      "Line 8210: ART\n",
      "Line 8211: LINWOOD\n",
      "Line 8212: BEAU\n",
      "Line 8213: WELDON\n",
      "Line 8214: GALEN\n",
      "Line 8215: ISIDRO\n",
      "Line 8216: TRUMAN\n",
      "Line 8217: DELMAR\n",
      "Line 8218: JOHNATHON\n",
      "Line 8219: SILAS\n",
      "Line 8220: FREDERIC\n",
      "Line 8221: DICK\n",
      "Line 8222: KIRBY\n",
      "Line 8223: IRWIN\n",
      "Line 8224: CRUZ\n",
      "Line 8225: MERLIN\n",
      "Line 8226: MERRILL\n",
      "Line 8227: CHARLEY\n",
      "Line 8228: MARCELINO\n",
      "Line 8229: LANE\n",
      "Line 8230: HARRIS\n",
      "Line 8231: CLEO\n",
      "Line 8232: CARLO\n",
      "Line 8233: TRENTON\n",
      "Line 8234: KURTIS\n",
      "Line 8235: HUNTER\n",
      "Line 8236: AURELIO\n",
      "Line 8237: WINFRED\n",
      "Line 8238: VITO\n",
      "Line 8239: COLLIN\n",
      "Line 8240: DENVER\n",
      "Line 8241: CARTER\n",
      "Line 8242: LEONEL\n",
      "Line 8243: EMORY\n",
      "Line 8244: PASQUALE\n",
      "Line 8245: MOHAMMAD\n",
      "Line 8246: MARIANO\n",
      "Line 8247: DANIAL\n",
      "Line 8248: BLAIR\n",
      "Line 8249: LANDON\n",
      "Line 8250: DIRK\n",
      "Line 8251: BRANDEN\n",
      "Line 8252: ADAN\n",
      "Line 8253: NUMBERS\n",
      "Line 8254: CLAIR\n",
      "Line 8255: BUFORD\n",
      "Line 8256: GERMAN\n",
      "Line 8257: BERNIE\n",
      "Line 8258: WILMER\n",
      "Line 8259: JOAN\n",
      "Line 8260: EMERSON\n",
      "Line 8261: ZACHERY\n",
      "Line 8262: FLETCHER\n",
      "Line 8263: JACQUES\n",
      "Line 8264: ERROL\n",
      "Line 8265: DALTON\n",
      "Line 8266: MONROE\n",
      "Line 8267: JOSUE\n",
      "Line 8268: DOMINIQUE\n",
      "Line 8269: EDWARDO\n",
      "Line 8270: BOOKER\n",
      "Line 8271: WILFORD\n",
      "Line 8272: SONNY\n",
      "Line 8273: SHELTON\n",
      "Line 8274: CARSON\n",
      "Line 8275: THERON\n",
      "Line 8276: RAYMUNDO\n",
      "Line 8277: DAREN\n",
      "Line 8278: TRISTAN\n",
      "Line 8279: HOUSTON\n",
      "Line 8280: ROBBY\n",
      "Line 8281: LINCOLN\n",
      "Line 8282: JAME\n",
      "Line 8283: GENARO\n",
      "Line 8284: GALE\n",
      "Line 8285: BENNETT\n",
      "Line 8286: OCTAVIO\n",
      "Line 8287: CORNELL\n",
      "Line 8288: LAVERNE\n",
      "Line 8289: HUNG\n",
      "Line 8290: ARRON\n",
      "Line 8291: ANTONY\n",
      "Line 8292: HERSCHEL\n",
      "Line 8293: ALVA\n",
      "Line 8294: GIOVANNI\n",
      "Line 8295: GARTH\n",
      "Line 8296: CYRUS\n",
      "Line 8297: CYRIL\n",
      "Line 8298: RONNY\n",
      "Line 8299: STEVIE\n",
      "Line 8300: LON\n",
      "Line 8301: FREEMAN\n",
      "Line 8302: ERIN\n",
      "Line 8303: DUNCAN\n",
      "Line 8304: KENNITH\n",
      "Line 8305: CARMINE\n",
      "Line 8306: AUGUSTINE\n",
      "Line 8307: YOUNG\n",
      "Line 8308: ERICH\n",
      "Line 8309: CHADWICK\n",
      "Line 8310: WILBURN\n",
      "Line 8311: RUSS\n",
      "Line 8312: REID\n",
      "Line 8313: MYLES\n",
      "Line 8314: ANDERSON\n",
      "Line 8315: MORTON\n",
      "Line 8316: JONAS\n",
      "Line 8317: FOREST\n",
      "Line 8318: MITCHEL\n",
      "Line 8319: MERVIN\n",
      "Line 8320: ZANE\n",
      "Line 8321: RICH\n",
      "Line 8322: JAMEL\n",
      "Line 8323: LAZARO\n",
      "Line 8324: ALPHONSE\n",
      "Line 8325: RANDELL\n",
      "Line 8326: MAJOR\n",
      "Line 8327: JOHNIE\n",
      "Line 8328: JARRETT\n",
      "Line 8329: BROOKS\n",
      "Line 8330: ARIEL\n",
      "Line 8331: ABDUL\n",
      "Line 8332: DUSTY\n",
      "Line 8333: LUCIANO\n",
      "Line 8334: LINDSEY\n",
      "Line 8335: TRACEY\n",
      "Line 8336: SEYMOUR\n",
      "Line 8337: SCOTTIE\n",
      "Line 8338: EUGENIO\n",
      "Line 8339: MOHAMMED\n",
      "Line 8340: SANDY\n",
      "Line 8341: VALENTIN\n",
      "Line 8342: CHANCE\n",
      "Line 8343: ARNULFO\n",
      "Line 8344: LUCIEN\n",
      "Line 8345: FERDINAND\n",
      "Line 8346: THAD\n",
      "Line 8347: EZRA\n",
      "Line 8348: SYDNEY\n",
      "Line 8349: ALDO\n",
      "Line 8350: RUBIN\n",
      "Line 8351: ROYAL\n",
      "Line 8352: MITCH\n",
      "Line 8353: EARLE\n",
      "Line 8354: ABE\n",
      "Line 8355: WYATT\n",
      "Line 8356: MARQUIS\n",
      "Line 8357: LANNY\n",
      "Line 8358: KAREEM\n",
      "Line 8359: JAMAR\n",
      "Line 8360: BORIS\n",
      "Line 8361: ISIAH\n",
      "Line 8362: EMILE\n",
      "Line 8363: ELMO\n",
      "Line 8364: ARON\n",
      "Line 8365: LEOPOLDO\n",
      "Line 8366: EVERETTE\n",
      "Line 8367: JOSEF\n",
      "Line 8368: GAIL\n",
      "Line 8369: ELOY\n",
      "Line 8370: DORIAN\n",
      "Line 8371: RODRICK\n",
      "Line 8372: REINALDO\n",
      "Line 8373: LUCIO\n",
      "Line 8374: JERROD\n",
      "Line 8375: WESTON\n",
      "Line 8376: HERSHEL\n",
      "Line 8377: BARTON\n",
      "Line 8378: PARKER\n",
      "Line 8379: LEMUEL\n",
      "Line 8380: LAVERN\n",
      "Line 8381: BURT\n",
      "Line 8382: JULES\n",
      "Line 8383: GIL\n",
      "Line 8384: ELISEO\n",
      "Line 8385: AHMAD\n",
      "Line 8386: NIGEL\n",
      "Line 8387: EFREN\n",
      "Line 8388: ANTWAN\n",
      "Line 8389: ALDEN\n",
      "Line 8390: MARGARITO\n",
      "Line 8391: COLEMAN\n",
      "Line 8392: REFUGIO\n",
      "Line 8393: DINO\n",
      "Line 8394: OSVALDO\n",
      "Line 8395: LES\n",
      "Line 8396: DEANDRE\n",
      "Line 8397: NORMAND\n",
      "Line 8398: KIETH\n",
      "Line 8399: IVORY\n",
      "Line 8400: ANDREA\n",
      "Line 8401: TREY\n",
      "Line 8402: NORBERTO\n",
      "Line 8403: NAPOLEON\n",
      "Line 8404: JEROLD\n",
      "Line 8405: FRITZ\n",
      "Line 8406: ROSENDO\n",
      "Line 8407: MILFORD\n",
      "Line 8408: SANG\n",
      "Line 8409: DEON\n",
      "Line 8410: CHRISTOPER\n",
      "Line 8411: ALFONZO\n",
      "Line 8412: LYMAN\n",
      "Line 8413: JOSIAH\n",
      "Line 8414: BRANT\n",
      "Line 8415: WILTON\n",
      "Line 8416: RICO\n",
      "Line 8417: JAMAAL\n",
      "Line 8418: DEWITT\n",
      "Line 8419: CAROL\n",
      "Line 8420: BRENTON\n",
      "Line 8421: YONG\n",
      "Line 8422: OLIN\n",
      "Line 8423: FOSTER\n",
      "Line 8424: FAUSTINO\n",
      "Line 8425: CLAUDIO\n",
      "Line 8426: JUDSON\n",
      "Line 8427: GINO\n",
      "Line 8428: EDGARDO\n",
      "Line 8429: BERRY\n",
      "Line 8430: ALEC\n",
      "Line 8431: TANNER\n",
      "Line 8432: JARRED\n",
      "Line 8433: DONN\n",
      "Line 8434: TRINIDAD\n",
      "Line 8435: TAD\n",
      "Line 8436: SHIRLEY\n",
      "Line 8437: PRINCE\n",
      "Line 8438: PORFIRIO\n",
      "Line 8439: ODIS\n",
      "Line 8440: MARIA\n",
      "Line 8441: LENARD\n",
      "Line 8442: CHAUNCEY\n",
      "Line 8443: CHANG\n",
      "Line 8444: TOD\n",
      "Line 8445: MEL\n",
      "Line 8446: MARCELO\n",
      "Line 8447: KORY\n",
      "Line 8448: AUGUSTUS\n",
      "Line 8449: KEVEN\n",
      "Line 8450: HILARIO\n",
      "Line 8451: BUD\n",
      "Line 8452: SAL\n",
      "Line 8453: ROSARIO\n",
      "Line 8454: ORVAL\n",
      "Line 8455: MAURO\n",
      "Line 8456: DANNIE\n",
      "Line 8457: ZACHARIAH\n",
      "Line 8458: OLEN\n",
      "Line 8459: ANIBAL\n",
      "Line 8460: MILO\n",
      "Line 8461: JED\n",
      "Line 8462: FRANCES\n",
      "Line 8463: THANH\n",
      "Line 8464: DILLON\n",
      "Line 8465: AMADO\n",
      "Line 8466: NEWTON\n",
      "Line 8467: CONNIE\n",
      "Line 8468: LENNY\n",
      "Line 8469: TORY\n",
      "Line 8470: RICHIE\n",
      "Line 8471: LUPE\n",
      "Line 8472: HORACIO\n",
      "Line 8473: BRICE\n",
      "Line 8474: MOHAMED\n",
      "Line 8475: DELMER\n",
      "Line 8476: DARIO\n",
      "Line 8477: REYES\n",
      "Line 8478: DEE\n",
      "Line 8479: MAC\n",
      "Line 8480: JONAH\n",
      "Line 8481: JERROLD\n",
      "Line 8482: ROBT\n",
      "Line 8483: HANK\n",
      "Line 8484: SUNG\n",
      "Line 8485: RUPERT\n",
      "Line 8486: ROLLAND\n",
      "Line 8487: KENTON\n",
      "Line 8488: DAMION\n",
      "Line 8489: CHI\n",
      "Line 8490: ANTONE\n",
      "Line 8491: WALDO\n",
      "Line 8492: FREDRIC\n",
      "Line 8493: BRADLY\n",
      "Line 8494: QUINN\n",
      "Line 8495: KIP\n",
      "Line 8496: BURL\n",
      "Line 8497: WALKER\n",
      "Line 8498: TYREE\n",
      "Line 8499: JEFFEREY\n",
      "Line 8500: AHMED\n",
      "Line 8501: WILLY\n",
      "Line 8502: STANFORD\n",
      "Line 8503: OREN\n",
      "Line 8504: NOBLE\n",
      "Line 8505: MOSHE\n",
      "Line 8506: MIKEL\n",
      "Line 8507: ENOCH\n",
      "Line 8508: BRENDON\n",
      "Line 8509: QUINTIN\n",
      "Line 8510: JAMISON\n",
      "Line 8511: FLORENCIO\n",
      "Line 8512: DARRICK\n",
      "Line 8513: TOBIAS\n",
      "Line 8514: MINH\n",
      "Line 8515: HASSAN\n",
      "Line 8516: GIUSEPPE\n",
      "Line 8517: DEMARCUS\n",
      "Line 8518: CLETUS\n",
      "Line 8519: TYRELL\n",
      "Line 8520: LYNDON\n",
      "Line 8521: KEENAN\n",
      "Line 8522: WERNER\n",
      "Line 8523: THEO\n",
      "Line 8524: GERALDO\n",
      "Line 8525: LOU\n",
      "Line 8526: COLUMBUS\n",
      "Line 8527: CHET\n",
      "Line 8528: BERTRAM\n",
      "Line 8529: MARKUS\n",
      "Line 8530: HUEY\n",
      "Line 8531: HILTON\n",
      "Line 8532: DWAIN\n",
      "Line 8533: DONTE\n",
      "Line 8534: TYRON\n",
      "Line 8535: OMER\n",
      "Line 8536: ISAIAS\n",
      "Line 8537: HIPOLITO\n",
      "Line 8538: FERMIN\n",
      "Line 8539: CHUNG\n",
      "Line 8540: ADALBERTO\n",
      "Line 8541: VALENTINE\n",
      "Line 8542: JAMEY\n",
      "Line 8543: BO\n",
      "Line 8544: BARRETT\n",
      "Line 8545: WHITNEY\n",
      "Line 8546: TEODORO\n",
      "Line 8547: MCKINLEY\n",
      "Line 8548: MAXIMO\n",
      "Line 8549: GARFIELD\n",
      "Line 8550: SOL\n",
      "Line 8551: RALEIGH\n",
      "Line 8552: LAWERENCE\n",
      "Line 8553: ABRAM\n",
      "Line 8554: RASHAD\n",
      "Line 8555: KING\n",
      "Line 8556: EMMITT\n",
      "Line 8557: DARON\n",
      "Line 8558: CHONG\n",
      "Line 8559: SAMUAL\n",
      "Line 8560: PARIS\n",
      "Line 8561: OTHA\n",
      "Line 8562: MIQUEL\n",
      "Line 8563: LACY\n",
      "Line 8564: EUSEBIO\n",
      "Line 8565: DONG\n",
      "Line 8566: DOMENIC\n",
      "Line 8567: DARRON\n",
      "Line 8568: BUSTER\n",
      "Line 8569: ANTONIA\n",
      "Line 8570: WILBER\n",
      "Line 8571: RENATO\n",
      "Line 8572: JC\n",
      "Line 8573: HOYT\n",
      "Line 8574: HAYWOOD\n",
      "Line 8575: EZEKIEL\n",
      "Line 8576: CHAS\n",
      "Line 8577: FLORENTINO\n",
      "Line 8578: ELROY\n",
      "Line 8579: CLEMENTE\n",
      "Line 8580: ARDEN\n",
      "Line 8581: NEVILLE\n",
      "Line 8582: KELLEY\n",
      "Line 8583: EDISON\n",
      "Line 8584: DESHAWN\n",
      "Line 8585: CARROL\n",
      "Line 8586: SHAYNE\n",
      "Line 8587: NATHANIAL\n",
      "Line 8588: JORDON\n",
      "Line 8589: DANILO\n",
      "Line 8590: CLAUD\n",
      "Line 8591: VAL\n",
      "Line 8592: SHERWOOD\n",
      "Line 8593: RAYMON\n",
      "Line 8594: RAYFORD\n",
      "Line 8595: CRISTOBAL\n",
      "Line 8596: AMBROSE\n",
      "Line 8597: TITUS\n",
      "Line 8598: HYMAN\n",
      "Line 8599: FELTON\n",
      "Line 8600: EZEQUIEL\n",
      "Line 8601: ERASMO\n",
      "Line 8602: STANTON\n",
      "Line 8603: LONNY\n",
      "Line 8604: LEN\n",
      "Line 8605: IKE\n",
      "Line 8606: MILAN\n",
      "Line 8607: LINO\n",
      "Line 8608: JAROD\n",
      "Line 8609: HERB\n",
      "Line 8610: ANDREAS\n",
      "Line 8611: WALTON\n",
      "Line 8612: RHETT\n",
      "Line 8613: PALMER\n",
      "Line 8614: JUDE\n",
      "Line 8615: DOUGLASS\n",
      "Line 8616: CORDELL\n",
      "Line 8617: OSWALDO\n",
      "Line 8618: ELLSWORTH\n",
      "Line 8619: VIRGILIO\n",
      "Line 8620: TONEY\n",
      "Line 8621: NATHANAEL\n",
      "Line 8622: DEL\n",
      "Line 8623: BRITT\n",
      "Line 8624: BENEDICT\n",
      "Line 8625: MOSE\n",
      "Line 8626: HONG\n",
      "Line 8627: LEIGH\n",
      "Line 8628: JOHNSON\n",
      "Line 8629: ISREAL\n",
      "Line 8630: GAYLE\n",
      "Line 8631: GARRET\n",
      "Line 8632: FAUSTO\n",
      "Line 8633: ASA\n",
      "Line 8634: ARLEN\n",
      "Line 8635: ZACK\n",
      "Line 8636: WARNER\n",
      "Line 8637: MODESTO\n",
      "Line 8638: FRANCESCO\n",
      "Line 8639: MANUAL\n",
      "Line 8640: JAE\n",
      "Line 8641: GAYLORD\n",
      "Line 8642: GASTON\n",
      "Line 8643: FILIBERTO\n",
      "Line 8644: DEANGELO\n",
      "Line 8645: MICHALE\n",
      "Line 8646: GRANVILLE\n",
      "Line 8647: WES\n",
      "Line 8648: MALIK\n",
      "Line 8649: ZACKARY\n",
      "Line 8650: TUAN\n",
      "Line 8651: NICKY\n",
      "Line 8652: ELDRIDGE\n",
      "Line 8653: CRISTOPHER\n",
      "Line 8654: CORTEZ\n",
      "Line 8655: ANTIONE\n",
      "Line 8656: MALCOM\n",
      "Line 8657: LONG\n",
      "Line 8658: KOREY\n",
      "Line 8659: JOSPEH\n",
      "Line 8660: COLTON\n",
      "Line 8661: WAYLON\n",
      "Line 8662: VON\n",
      "Line 8663: HOSEA\n",
      "Line 8664: SHAD\n",
      "Line 8665: SANTO\n",
      "Line 8666: RUDOLF\n",
      "Line 8667: ROLF\n",
      "Line 8668: REY\n",
      "Line 8669: RENALDO\n",
      "Line 8670: MARCELLUS\n",
      "Line 8671: LUCIUS\n",
      "Line 8672: LESLEY\n",
      "Line 8673: KRISTOFER\n",
      "Line 8674: BOYCE\n",
      "Line 8675: BENTON\n",
      "Line 8676: MAN\n",
      "Line 8677: KASEY\n",
      "Line 8678: JEWELL\n",
      "Line 8679: HAYDEN\n",
      "Line 8680: HARLAND\n",
      "Line 8681: ARNOLDO\n",
      "Line 8682: RUEBEN\n",
      "Line 8683: LEANDRO\n",
      "Line 8684: KRAIG\n",
      "Line 8685: JERRELL\n",
      "Line 8686: JEROMY\n",
      "Line 8687: HOBERT\n",
      "Line 8688: CEDRICK\n",
      "Line 8689: ARLIE\n",
      "Line 8690: WINFORD\n",
      "Line 8691: WALLY\n",
      "Line 8692: PATRICIA\n",
      "Line 8693: LUIGI\n",
      "Line 8694: KENETH\n",
      "Line 8695: JACINTO\n",
      "Line 8696: GRAIG\n",
      "Line 8697: FRANKLYN\n",
      "Line 8698: EDMUNDO\n",
      "Line 8699: SID\n",
      "Line 8700: PORTER\n",
      "Line 8701: LEIF\n",
      "Line 8702: LAUREN\n",
      "Line 8703: JERAMY\n",
      "Line 8704: ELISHA\n",
      "Line 8705: BUCK\n",
      "Line 8706: WILLIAN\n",
      "Line 8707: VINCENZO\n",
      "Line 8708: SHON\n",
      "Line 8709: MICHAL\n",
      "Line 8710: LYNWOOD\n",
      "Line 8711: LINDSAY\n",
      "Line 8712: JEWEL\n",
      "Line 8713: JERE\n",
      "Line 8714: HAI\n",
      "Line 8715: ELDEN\n",
      "Line 8716: DORSEY\n",
      "Line 8717: DARELL\n",
      "Line 8718: BRODERICK\n",
      "Line 8719: ALONSO\n",
      "Line 8720: MARY\n",
      "Line 8721: PATRICIA\n",
      "Line 8722: LINDA\n",
      "Line 8723: BARBARA\n",
      "Line 8724: ELIZABETH\n",
      "Line 8725: JENNIFER\n",
      "Line 8726: MARIA\n",
      "Line 8727: SUSAN\n",
      "Line 8728: MARGARET\n",
      "Line 8729: DOROTHY\n",
      "Line 8730: LISA\n",
      "Line 8731: NANCY\n",
      "Line 8732: KAREN\n",
      "Line 8733: BETTY\n",
      "Line 8734: HELEN\n",
      "Line 8735: SANDRA\n",
      "Line 8736: DONNA\n",
      "Line 8737: CAROL\n",
      "Line 8738: RUTH\n",
      "Line 8739: SHARON\n",
      "Line 8740: MICHELLE\n",
      "Line 8741: LAURA\n",
      "Line 8742: SARAH\n",
      "Line 8743: KIMBERLY\n",
      "Line 8744: DEBORAH\n",
      "Line 8745: JESSICA\n",
      "Line 8746: SHIRLEY\n",
      "Line 8747: CYNTHIA\n",
      "Line 8748: ANGELA\n",
      "Line 8749: MELISSA\n",
      "Line 8750: BRENDA\n",
      "Line 8751: AMY\n",
      "Line 8752: ANNA\n",
      "Line 8753: REBECCA\n",
      "Line 8754: VIRGINIA\n",
      "Line 8755: KATHLEEN\n",
      "Line 8756: PAMELA\n",
      "Line 8757: MARTHA\n",
      "Line 8758: DEBRA\n",
      "Line 8759: AMANDA\n",
      "Line 8760: STEPHANIE\n",
      "Line 8761: CAROLYN\n",
      "Line 8762: CHRISTINE\n",
      "Line 8763: MARIE\n",
      "Line 8764: JANET\n",
      "Line 8765: CATHERINE\n",
      "Line 8766: FRANCES\n",
      "Line 8767: ANN\n",
      "Line 8768: JOYCE\n",
      "Line 8769: DIANE\n",
      "Line 8770: ALICE\n",
      "Line 8771: JULIE\n",
      "Line 8772: HEATHER\n",
      "Line 8773: TERESA\n",
      "Line 8774: DORIS\n",
      "Line 8775: GLORIA\n",
      "Line 8776: EVELYN\n",
      "Line 8777: JEAN\n",
      "Line 8778: CHERYL\n",
      "Line 8779: MILDRED\n",
      "Line 8780: KATHERINE\n",
      "Line 8781: JOAN\n",
      "Line 8782: ASHLEY\n",
      "Line 8783: JUDITH\n",
      "Line 8784: ROSE\n",
      "Line 8785: JANICE\n",
      "Line 8786: KELLY\n",
      "Line 8787: NICOLE\n",
      "Line 8788: JUDY\n",
      "Line 8789: CHRISTINA\n",
      "Line 8790: KATHY\n",
      "Line 8791: THERESA\n",
      "Line 8792: BEVERLY\n",
      "Line 8793: DENISE\n",
      "Line 8794: TAMMY\n",
      "Line 8795: IRENE\n",
      "Line 8796: JANE\n",
      "Line 8797: LORI\n",
      "Line 8798: RACHEL\n",
      "Line 8799: MARILYN\n",
      "Line 8800: ANDREA\n",
      "Line 8801: KATHRYN\n",
      "Line 8802: LOUISE\n",
      "Line 8803: SARA\n",
      "Line 8804: ANNE\n",
      "Line 8805: JACQUELINE\n",
      "Line 8806: WANDA\n",
      "Line 8807: BONNIE\n",
      "Line 8808: JULIA\n",
      "Line 8809: RUBY\n",
      "Line 8810: LOIS\n",
      "Line 8811: TINA\n",
      "Line 8812: PHYLLIS\n",
      "Line 8813: NORMA\n",
      "Line 8814: PAULA\n",
      "Line 8815: DIANA\n",
      "Line 8816: ANNIE\n",
      "Line 8817: LILLIAN\n",
      "Line 8818: EMILY\n",
      "Line 8819: ROBIN\n",
      "Line 8820: PEGGY\n",
      "Line 8821: CRYSTAL\n",
      "Line 8822: GLADYS\n",
      "Line 8823: RITA\n",
      "Line 8824: DAWN\n",
      "Line 8825: CONNIE\n",
      "Line 8826: FLORENCE\n",
      "Line 8827: TRACY\n",
      "Line 8828: EDNA\n",
      "Line 8829: TIFFANY\n",
      "Line 8830: CARMEN\n",
      "Line 8831: ROSA\n",
      "Line 8832: CINDY\n",
      "Line 8833: GRACE\n",
      "Line 8834: WENDY\n",
      "Line 8835: VICTORIA\n",
      "Line 8836: EDITH\n",
      "Line 8837: KIM\n",
      "Line 8838: SHERRY\n",
      "Line 8839: SYLVIA\n",
      "Line 8840: JOSEPHINE\n",
      "Line 8841: THELMA\n",
      "Line 8842: SHANNON\n",
      "Line 8843: SHEILA\n",
      "Line 8844: ETHEL\n",
      "Line 8845: ELLEN\n",
      "Line 8846: ELAINE\n",
      "Line 8847: MARJORIE\n",
      "Line 8848: CARRIE\n",
      "Line 8849: CHARLOTTE\n",
      "Line 8850: MONICA\n",
      "Line 8851: ESTHER\n",
      "Line 8852: PAULINE\n",
      "Line 8853: EMMA\n",
      "Line 8854: JUANITA\n",
      "Line 8855: ANITA\n",
      "Line 8856: RHONDA\n",
      "Line 8857: HAZEL\n",
      "Line 8858: AMBER\n",
      "Line 8859: EVA\n",
      "Line 8860: DEBBIE\n",
      "Line 8861: APRIL\n",
      "Line 8862: LESLIE\n",
      "Line 8863: CLARA\n",
      "Line 8864: LUCILLE\n",
      "Line 8865: JAMIE\n",
      "Line 8866: JOANNE\n",
      "Line 8867: ELEANOR\n",
      "Line 8868: VALERIE\n",
      "Line 8869: DANIELLE\n",
      "Line 8870: MEGAN\n",
      "Line 8871: ALICIA\n",
      "Line 8872: SUZANNE\n",
      "Line 8873: MICHELE\n",
      "Line 8874: GAIL\n",
      "Line 8875: BERTHA\n",
      "Line 8876: DARLENE\n",
      "Line 8877: VERONICA\n",
      "Line 8878: JILL\n",
      "Line 8879: ERIN\n",
      "Line 8880: GERALDINE\n",
      "Line 8881: LAUREN\n",
      "Line 8882: CATHY\n",
      "Line 8883: JOANN\n",
      "Line 8884: LORRAINE\n",
      "Line 8885: LYNN\n",
      "Line 8886: SALLY\n",
      "Line 8887: REGINA\n",
      "Line 8888: ERICA\n",
      "Line 8889: BEATRICE\n",
      "Line 8890: DOLORES\n",
      "Line 8891: BERNICE\n",
      "Line 8892: AUDREY\n",
      "Line 8893: YVONNE\n",
      "Line 8894: ANNETTE\n",
      "Line 8895: JUNE\n",
      "Line 8896: SAMANTHA\n",
      "Line 8897: MARION\n",
      "Line 8898: DANA\n",
      "Line 8899: STACY\n",
      "Line 8900: ANA\n",
      "Line 8901: RENEE\n",
      "Line 8902: IDA\n",
      "Line 8903: VIVIAN\n",
      "Line 8904: ROBERTA\n",
      "Line 8905: HOLLY\n",
      "Line 8906: BRITTANY\n",
      "Line 8907: MELANIE\n",
      "Line 8908: LORETTA\n",
      "Line 8909: YOLANDA\n",
      "Line 8910: JEANETTE\n",
      "Line 8911: LAURIE\n",
      "Line 8912: KATIE\n",
      "Line 8913: KRISTEN\n",
      "Line 8914: VANESSA\n",
      "Line 8915: ALMA\n",
      "Line 8916: SUE\n",
      "Line 8917: ELSIE\n",
      "Line 8918: BETH\n",
      "Line 8919: JEANNE\n",
      "Line 8920: VICKI\n",
      "Line 8921: CARLA\n",
      "Line 8922: TARA\n",
      "Line 8923: ROSEMARY\n",
      "Line 8924: EILEEN\n",
      "Line 8925: TERRI\n",
      "Line 8926: GERTRUDE\n",
      "Line 8927: LUCY\n",
      "Line 8928: TONYA\n",
      "Line 8929: ELLA\n",
      "Line 8930: STACEY\n",
      "Line 8931: WILMA\n",
      "Line 8932: GINA\n",
      "Line 8933: KRISTIN\n",
      "Line 8934: JESSIE\n",
      "Line 8935: NATALIE\n",
      "Line 8936: AGNES\n",
      "Line 8937: VERA\n",
      "Line 8938: WILLIE\n",
      "Line 8939: CHARLENE\n",
      "Line 8940: BESSIE\n",
      "Line 8941: DELORES\n",
      "Line 8942: MELINDA\n",
      "Line 8943: PEARL\n",
      "Line 8944: ARLENE\n",
      "Line 8945: MAUREEN\n",
      "Line 8946: COLLEEN\n",
      "Line 8947: ALLISON\n",
      "Line 8948: TAMARA\n",
      "Line 8949: JOY\n",
      "Line 8950: GEORGIA\n",
      "Line 8951: CONSTANCE\n",
      "Line 8952: LILLIE\n",
      "Line 8953: CLAUDIA\n",
      "Line 8954: JACKIE\n",
      "Line 8955: MARCIA\n",
      "Line 8956: TANYA\n",
      "Line 8957: NELLIE\n",
      "Line 8958: MINNIE\n",
      "Line 8959: MARLENE\n",
      "Line 8960: HEIDI\n",
      "Line 8961: GLENDA\n",
      "Line 8962: LYDIA\n",
      "Line 8963: VIOLA\n",
      "Line 8964: COURTNEY\n",
      "Line 8965: MARIAN\n",
      "Line 8966: STELLA\n",
      "Line 8967: CAROLINE\n",
      "Line 8968: DORA\n",
      "Line 8969: JO\n",
      "Line 8970: VICKIE\n",
      "Line 8971: MATTIE\n",
      "Line 8972: TERRY\n",
      "Line 8973: MAXINE\n",
      "Line 8974: IRMA\n",
      "Line 8975: MABEL\n",
      "Line 8976: MARSHA\n",
      "Line 8977: MYRTLE\n",
      "Line 8978: LENA\n",
      "Line 8979: CHRISTY\n",
      "Line 8980: DEANNA\n",
      "Line 8981: PATSY\n",
      "Line 8982: HILDA\n",
      "Line 8983: GWENDOLYN\n",
      "Line 8984: JENNIE\n",
      "Line 8985: NORA\n",
      "Line 8986: MARGIE\n",
      "Line 8987: NINA\n",
      "Line 8988: CASSANDRA\n",
      "Line 8989: LEAH\n",
      "Line 8990: PENNY\n",
      "Line 8991: KAY\n",
      "Line 8992: PRISCILLA\n",
      "Line 8993: NAOMI\n",
      "Line 8994: CAROLE\n",
      "Line 8995: BRANDY\n",
      "Line 8996: OLGA\n",
      "Line 8997: BILLIE\n",
      "Line 8998: DIANNE\n",
      "Line 8999: TRACEY\n",
      "Line 9000: LEONA\n",
      "Line 9001: JENNY\n",
      "Line 9002: FELICIA\n",
      "Line 9003: SONIA\n",
      "Line 9004: MIRIAM\n",
      "Line 9005: VELMA\n",
      "Line 9006: BECKY\n",
      "Line 9007: BOBBIE\n",
      "Line 9008: VIOLET\n",
      "Line 9009: KRISTINA\n",
      "Line 9010: TONI\n",
      "Line 9011: MISTY\n",
      "Line 9012: MAE\n",
      "Line 9013: SHELLY\n",
      "Line 9014: DAISY\n",
      "Line 9015: RAMONA\n",
      "Line 9016: SHERRI\n",
      "Line 9017: ERIKA\n",
      "Line 9018: KATRINA\n",
      "Line 9019: CLAIRE\n",
      "Line 9020: LINDSEY\n",
      "Line 9021: LINDSAY\n",
      "Line 9022: GENEVA\n",
      "Line 9023: GUADALUPE\n",
      "Line 9024: BELINDA\n",
      "Line 9025: MARGARITA\n",
      "Line 9026: SHERYL\n",
      "Line 9027: CORA\n",
      "Line 9028: FAYE\n",
      "Line 9029: ADA\n",
      "Line 9030: NATASHA\n",
      "Line 9031: SABRINA\n",
      "Line 9032: ISABEL\n",
      "Line 9033: MARGUERITE\n",
      "Line 9034: HATTIE\n",
      "Line 9035: HARRIET\n",
      "Line 9036: MOLLY\n",
      "Line 9037: CECILIA\n",
      "Line 9038: KRISTI\n",
      "Line 9039: BRANDI\n",
      "Line 9040: BLANCHE\n",
      "Line 9041: SANDY\n",
      "Line 9042: ROSIE\n",
      "Line 9043: JOANNA\n",
      "Line 9044: IRIS\n",
      "Line 9045: EUNICE\n",
      "Line 9046: ANGIE\n",
      "Line 9047: INEZ\n",
      "Line 9048: LYNDA\n",
      "Line 9049: MADELINE\n",
      "Line 9050: AMELIA\n",
      "Line 9051: ALBERTA\n",
      "Line 9052: GENEVIEVE\n",
      "Line 9053: MONIQUE\n",
      "Line 9054: JODI\n",
      "Line 9055: JANIE\n",
      "Line 9056: MAGGIE\n",
      "Line 9057: KAYLA\n",
      "Line 9058: SONYA\n",
      "Line 9059: JAN\n",
      "Line 9060: LEE\n",
      "Line 9061: KRISTINE\n",
      "Line 9062: CANDACE\n",
      "Line 9063: FANNIE\n",
      "Line 9064: MARYANN\n",
      "Line 9065: OPAL\n",
      "Line 9066: ALISON\n",
      "Line 9067: YVETTE\n",
      "Line 9068: MELODY\n",
      "Line 9069: LUZ\n",
      "Line 9070: SUSIE\n",
      "Line 9071: OLIVIA\n",
      "Line 9072: FLORA\n",
      "Line 9073: SHELLEY\n",
      "Line 9074: KRISTY\n",
      "Line 9075: MAMIE\n",
      "Line 9076: LULA\n",
      "Line 9077: LOLA\n",
      "Line 9078: VERNA\n",
      "Line 9079: BEULAH\n",
      "Line 9080: ANTOINETTE\n",
      "Line 9081: CANDICE\n",
      "Line 9082: JUANA\n",
      "Line 9083: JEANNETTE\n",
      "Line 9084: PAM\n",
      "Line 9085: KELLI\n",
      "Line 9086: HANNAH\n",
      "Line 9087: WHITNEY\n",
      "Line 9088: BRIDGET\n",
      "Line 9089: KARLA\n",
      "Line 9090: CELIA\n",
      "Line 9091: LATOYA\n",
      "Line 9092: PATTY\n",
      "Line 9093: SHELIA\n",
      "Line 9094: GAYLE\n",
      "Line 9095: DELLA\n",
      "Line 9096: VICKY\n",
      "Line 9097: LYNNE\n",
      "Line 9098: SHERI\n",
      "Line 9099: MARIANNE\n",
      "Line 9100: KARA\n",
      "Line 9101: JACQUELYN\n",
      "Line 9102: ERMA\n",
      "Line 9103: BLANCA\n",
      "Line 9104: MYRA\n",
      "Line 9105: LETICIA\n",
      "Line 9106: PAT\n",
      "Line 9107: KRISTA\n",
      "Line 9108: ROXANNE\n",
      "Line 9109: ANGELICA\n",
      "Line 9110: JOHNNIE\n",
      "Line 9111: ROBYN\n",
      "Line 9112: FRANCIS\n",
      "Line 9113: ADRIENNE\n",
      "Line 9114: ROSALIE\n",
      "Line 9115: ALEXANDRA\n",
      "Line 9116: BROOKE\n",
      "Line 9117: BETHANY\n",
      "Line 9118: SADIE\n",
      "Line 9119: BERNADETTE\n",
      "Line 9120: TRACI\n",
      "Line 9121: JODY\n",
      "Line 9122: KENDRA\n",
      "Line 9123: JASMINE\n",
      "Line 9124: NICHOLE\n",
      "Line 9125: RACHAEL\n",
      "Line 9126: CHELSEA\n",
      "Line 9127: MABLE\n",
      "Line 9128: ERNESTINE\n",
      "Line 9129: MURIEL\n",
      "Line 9130: MARCELLA\n",
      "Line 9131: ELENA\n",
      "Line 9132: KRYSTAL\n",
      "Line 9133: ANGELINA\n",
      "Line 9134: NADINE\n",
      "Line 9135: KARI\n",
      "Line 9136: ESTELLE\n",
      "Line 9137: DIANNA\n",
      "Line 9138: PAULETTE\n",
      "Line 9139: LORA\n",
      "Line 9140: MONA\n",
      "Line 9141: DOREEN\n",
      "Line 9142: ROSEMARIE\n",
      "Line 9143: ANGEL\n",
      "Line 9144: DESIREE\n",
      "Line 9145: ANTONIA\n",
      "Line 9146: HOPE\n",
      "Line 9147: GINGER\n",
      "Line 9148: JANIS\n",
      "Line 9149: BETSY\n",
      "Line 9150: CHRISTIE\n",
      "Line 9151: FREDA\n",
      "Line 9152: MERCEDES\n",
      "Line 9153: MEREDITH\n",
      "Line 9154: LYNETTE\n",
      "Line 9155: TERI\n",
      "Line 9156: CRISTINA\n",
      "Line 9157: EULA\n",
      "Line 9158: LEIGH\n",
      "Line 9159: MEGHAN\n",
      "Line 9160: SOPHIA\n",
      "Line 9161: ELOISE\n",
      "Line 9162: ROCHELLE\n",
      "Line 9163: GRETCHEN\n",
      "Line 9164: CECELIA\n",
      "Line 9165: RAQUEL\n",
      "Line 9166: HENRIETTA\n",
      "Line 9167: ALYSSA\n",
      "Line 9168: JANA\n",
      "Line 9169: KELLEY\n",
      "Line 9170: GWEN\n",
      "Line 9171: KERRY\n",
      "Line 9172: JENNA\n",
      "Line 9173: TRICIA\n",
      "Line 9174: LAVERNE\n",
      "Line 9175: OLIVE\n",
      "Line 9176: ALEXIS\n",
      "Line 9177: TASHA\n",
      "Line 9178: SILVIA\n",
      "Line 9179: ELVIRA\n",
      "Line 9180: CASEY\n",
      "Line 9181: DELIA\n",
      "Line 9182: SOPHIE\n",
      "Line 9183: KATE\n",
      "Line 9184: PATTI\n",
      "Line 9185: LORENA\n",
      "Line 9186: KELLIE\n",
      "Line 9187: SONJA\n",
      "Line 9188: LILA\n",
      "Line 9189: LANA\n",
      "Line 9190: DARLA\n",
      "Line 9191: MAY\n",
      "Line 9192: MINDY\n",
      "Line 9193: ESSIE\n",
      "Line 9194: MANDY\n",
      "Line 9195: LORENE\n",
      "Line 9196: ELSA\n",
      "Line 9197: JOSEFINA\n",
      "Line 9198: JEANNIE\n",
      "Line 9199: MIRANDA\n",
      "Line 9200: DIXIE\n",
      "Line 9201: LUCIA\n",
      "Line 9202: MARTA\n",
      "Line 9203: FAITH\n",
      "Line 9204: LELA\n",
      "Line 9205: JOHANNA\n",
      "Line 9206: SHARI\n",
      "Line 9207: CAMILLE\n",
      "Line 9208: TAMI\n",
      "Line 9209: SHAWNA\n",
      "Line 9210: ELISA\n",
      "Line 9211: EBONY\n",
      "Line 9212: MELBA\n",
      "Line 9213: ORA\n",
      "Line 9214: NETTIE\n",
      "Line 9215: TABITHA\n",
      "Line 9216: OLLIE\n",
      "Line 9217: JAIME\n",
      "Line 9218: WINIFRED\n",
      "Line 9219: KRISTIE\n",
      "Line 9220: MARINA\n",
      "Line 9221: ALISHA\n",
      "Line 9222: AIMEE\n",
      "Line 9223: RENA\n",
      "Line 9224: MYRNA\n",
      "Line 9225: MARLA\n",
      "Line 9226: TAMMIE\n",
      "Line 9227: LATASHA\n",
      "Line 9228: BONITA\n",
      "Line 9229: PATRICE\n",
      "Line 9230: RONDA\n",
      "Line 9231: SHERRIE\n",
      "Line 9232: ADDIE\n",
      "Line 9233: FRANCINE\n",
      "Line 9234: DELORIS\n",
      "Line 9235: STACIE\n",
      "Line 9236: ADRIANA\n",
      "Line 9237: CHERI\n",
      "Line 9238: SHELBY\n",
      "Line 9239: ABIGAIL\n",
      "Line 9240: CELESTE\n",
      "Line 9241: JEWEL\n",
      "Line 9242: CARA\n",
      "Line 9243: ADELE\n",
      "Line 9244: REBEKAH\n",
      "Line 9245: LUCINDA\n",
      "Line 9246: DORTHY\n",
      "Line 9247: CHRIS\n",
      "Line 9248: EFFIE\n",
      "Line 9249: TRINA\n",
      "Line 9250: REBA\n",
      "Line 9251: SHAWN\n",
      "Line 9252: SALLIE\n",
      "Line 9253: AURORA\n",
      "Line 9254: LENORA\n",
      "Line 9255: ETTA\n",
      "Line 9256: LOTTIE\n",
      "Line 9257: KERRI\n",
      "Line 9258: TRISHA\n",
      "Line 9259: NIKKI\n",
      "Line 9260: ESTELLA\n",
      "Line 9261: FRANCISCA\n",
      "Line 9262: JOSIE\n",
      "Line 9263: TRACIE\n",
      "Line 9264: MARISSA\n",
      "Line 9265: KARIN\n",
      "Line 9266: BRITTNEY\n",
      "Line 9267: JANELLE\n",
      "Line 9268: LOURDES\n",
      "Line 9269: LAUREL\n",
      "Line 9270: HELENE\n",
      "Line 9271: FERN\n",
      "Line 9272: ELVA\n",
      "Line 9273: CORINNE\n",
      "Line 9274: KELSEY\n",
      "Line 9275: INA\n",
      "Line 9276: BETTIE\n",
      "Line 9277: ELISABETH\n",
      "Line 9278: AIDA\n",
      "Line 9279: CAITLIN\n",
      "Line 9280: INGRID\n",
      "Line 9281: IVA\n",
      "Line 9282: EUGENIA\n",
      "Line 9283: CHRISTA\n",
      "Line 9284: GOLDIE\n",
      "Line 9285: CASSIE\n",
      "Line 9286: MAUDE\n",
      "Line 9287: JENIFER\n",
      "Line 9288: THERESE\n",
      "Line 9289: FRANKIE\n",
      "Line 9290: DENA\n",
      "Line 9291: LORNA\n",
      "Line 9292: JANETTE\n",
      "Line 9293: LATONYA\n",
      "Line 9294: CANDY\n",
      "Line 9295: MORGAN\n",
      "Line 9296: CONSUELO\n",
      "Line 9297: TAMIKA\n",
      "Line 9298: ROSETTA\n",
      "Line 9299: DEBORA\n",
      "Line 9300: CHERIE\n",
      "Line 9301: POLLY\n",
      "Line 9302: DINA\n",
      "Line 9303: JEWELL\n",
      "Line 9304: FAY\n",
      "Line 9305: JILLIAN\n",
      "Line 9306: DOROTHEA\n",
      "Line 9307: NELL\n",
      "Line 9308: TRUDY\n",
      "Line 9309: ESPERANZA\n",
      "Line 9310: PATRICA\n",
      "Line 9311: KIMBERLEY\n",
      "Line 9312: SHANNA\n",
      "Line 9313: HELENA\n",
      "Line 9314: CAROLINA\n",
      "Line 9315: CLEO\n",
      "Line 9316: STEFANIE\n",
      "Line 9317: ROSARIO\n",
      "Line 9318: OLA\n",
      "Line 9319: JANINE\n",
      "Line 9320: MOLLIE\n",
      "Line 9321: LUPE\n",
      "Line 9322: ALISA\n",
      "Line 9323: LOU\n",
      "Line 9324: MARIBEL\n",
      "Line 9325: SUSANNE\n",
      "Line 9326: BETTE\n",
      "Line 9327: SUSANA\n",
      "Line 9328: ELISE\n",
      "Line 9329: CECILE\n",
      "Line 9330: ISABELLE\n",
      "Line 9331: LESLEY\n",
      "Line 9332: JOCELYN\n",
      "Line 9333: PAIGE\n",
      "Line 9334: JONI\n",
      "Line 9335: RACHELLE\n",
      "Line 9336: LEOLA\n",
      "Line 9337: DAPHNE\n",
      "Line 9338: ALTA\n",
      "Line 9339: ESTER\n",
      "Line 9340: PETRA\n",
      "Line 9341: GRACIELA\n",
      "Line 9342: IMOGENE\n",
      "Line 9343: JOLENE\n",
      "Line 9344: KEISHA\n",
      "Line 9345: LACEY\n",
      "Line 9346: GLENNA\n",
      "Line 9347: GABRIELA\n",
      "Line 9348: KERI\n",
      "Line 9349: URSULA\n",
      "Line 9350: LIZZIE\n",
      "Line 9351: KIRSTEN\n",
      "Line 9352: SHANA\n",
      "Line 9353: ADELINE\n",
      "Line 9354: MAYRA\n",
      "Line 9355: JAYNE\n",
      "Line 9356: JACLYN\n",
      "Line 9357: GRACIE\n",
      "Line 9358: SONDRA\n",
      "Line 9359: CARMELA\n",
      "Line 9360: MARISA\n",
      "Line 9361: ROSALIND\n",
      "Line 9362: CHARITY\n",
      "Line 9363: TONIA\n",
      "Line 9364: BEATRIZ\n",
      "Line 9365: MARISOL\n",
      "Line 9366: CLARICE\n",
      "Line 9367: JEANINE\n",
      "Line 9368: SHEENA\n",
      "Line 9369: ANGELINE\n",
      "Line 9370: FRIEDA\n",
      "Line 9371: LILY\n",
      "Line 9372: ROBBIE\n",
      "Line 9373: SHAUNA\n",
      "Line 9374: MILLIE\n",
      "Line 9375: CLAUDETTE\n",
      "Line 9376: CATHLEEN\n",
      "Line 9377: ANGELIA\n",
      "Line 9378: GABRIELLE\n",
      "Line 9379: AUTUMN\n",
      "Line 9380: KATHARINE\n",
      "Line 9381: SUMMER\n",
      "Line 9382: JODIE\n",
      "Line 9383: STACI\n",
      "Line 9384: LEA\n",
      "Line 9385: CHRISTI\n",
      "Line 9386: JIMMIE\n",
      "Line 9387: JUSTINE\n",
      "Line 9388: ELMA\n",
      "Line 9389: LUELLA\n",
      "Line 9390: MARGRET\n",
      "Line 9391: DOMINIQUE\n",
      "Line 9392: SOCORRO\n",
      "Line 9393: RENE\n",
      "Line 9394: MARTINA\n",
      "Line 9395: MARGO\n",
      "Line 9396: MAVIS\n",
      "Line 9397: CALLIE\n",
      "Line 9398: BOBBI\n",
      "Line 9399: MARITZA\n",
      "Line 9400: LUCILE\n",
      "Line 9401: LEANNE\n",
      "Line 9402: JEANNINE\n",
      "Line 9403: DEANA\n",
      "Line 9404: AILEEN\n",
      "Line 9405: LORIE\n",
      "Line 9406: LADONNA\n",
      "Line 9407: WILLA\n",
      "Line 9408: MANUELA\n",
      "Line 9409: GALE\n",
      "Line 9410: SELMA\n",
      "Line 9411: DOLLY\n",
      "Line 9412: SYBIL\n",
      "Line 9413: ABBY\n",
      "Line 9414: LARA\n",
      "Line 9415: DALE\n",
      "Line 9416: IVY\n",
      "Line 9417: DEE\n",
      "Line 9418: WINNIE\n",
      "Line 9419: MARCY\n",
      "Line 9420: LUISA\n",
      "Line 9421: JERI\n",
      "Line 9422: MAGDALENA\n",
      "Line 9423: OFELIA\n",
      "Line 9424: MEAGAN\n",
      "Line 9425: AUDRA\n",
      "Line 9426: MATILDA\n",
      "Line 9427: LEILA\n",
      "Line 9428: CORNELIA\n",
      "Line 9429: BIANCA\n",
      "Line 9430: SIMONE\n",
      "Line 9431: BETTYE\n",
      "Line 9432: RANDI\n",
      "Line 9433: VIRGIE\n",
      "Line 9434: LATISHA\n",
      "Line 9435: BARBRA\n",
      "Line 9436: GEORGINA\n",
      "Line 9437: ELIZA\n",
      "Line 9438: LEANN\n",
      "Line 9439: BRIDGETTE\n",
      "Line 9440: RHODA\n",
      "Line 9441: HALEY\n",
      "Line 9442: ADELA\n",
      "Line 9443: NOLA\n",
      "Line 9444: BERNADINE\n",
      "Line 9445: FLOSSIE\n",
      "Line 9446: ILA\n",
      "Line 9447: GRETA\n",
      "Line 9448: RUTHIE\n",
      "Line 9449: NELDA\n",
      "Line 9450: MINERVA\n",
      "Line 9451: LILLY\n",
      "Line 9452: TERRIE\n",
      "Line 9453: LETHA\n",
      "Line 9454: HILARY\n",
      "Line 9455: ESTELA\n",
      "Line 9456: VALARIE\n",
      "Line 9457: BRIANNA\n",
      "Line 9458: ROSALYN\n",
      "Line 9459: EARLINE\n",
      "Line 9460: CATALINA\n",
      "Line 9461: AVA\n",
      "Line 9462: MIA\n",
      "Line 9463: CLARISSA\n",
      "Line 9464: LIDIA\n",
      "Line 9465: CORRINE\n",
      "Line 9466: ALEXANDRIA\n",
      "Line 9467: CONCEPCION\n",
      "Line 9468: TIA\n",
      "Line 9469: SHARRON\n",
      "Line 9470: RAE\n",
      "Line 9471: DONA\n",
      "Line 9472: ERICKA\n",
      "Line 9473: JAMI\n",
      "Line 9474: ELNORA\n",
      "Line 9475: CHANDRA\n",
      "Line 9476: LENORE\n",
      "Line 9477: NEVA\n",
      "Line 9478: MARYLOU\n",
      "Line 9479: MELISA\n",
      "Line 9480: TABATHA\n",
      "Line 9481: SERENA\n",
      "Line 9482: AVIS\n",
      "Line 9483: ALLIE\n",
      "Line 9484: SOFIA\n",
      "Line 9485: JEANIE\n",
      "Line 9486: ODESSA\n",
      "Line 9487: NANNIE\n",
      "Line 9488: HARRIETT\n",
      "Line 9489: LORAINE\n",
      "Line 9490: PENELOPE\n",
      "Line 9491: MILAGROS\n",
      "Line 9492: EMILIA\n",
      "Line 9493: BENITA\n",
      "Line 9494: ALLYSON\n",
      "Line 9495: ASHLEE\n",
      "Line 9496: TANIA\n",
      "Line 9497: TOMMIE\n",
      "Line 9498: ESMERALDA\n",
      "Line 9499: KARINA\n",
      "Line 9500: EVE\n",
      "Line 9501: PEARLIE\n",
      "Line 9502: ZELMA\n",
      "Line 9503: MALINDA\n",
      "Line 9504: NOREEN\n",
      "Line 9505: TAMEKA\n",
      "Line 9506: SAUNDRA\n",
      "Line 9507: HILLARY\n",
      "Line 9508: AMIE\n",
      "Line 9509: ALTHEA\n",
      "Line 9510: ROSALINDA\n",
      "Line 9511: JORDAN\n",
      "Line 9512: LILIA\n",
      "Line 9513: ALANA\n",
      "Line 9514: GAY\n",
      "Line 9515: CLARE\n",
      "Line 9516: ALEJANDRA\n",
      "Line 9517: ELINOR\n",
      "Line 9518: MICHAEL\n",
      "Line 9519: LORRIE\n",
      "Line 9520: JERRI\n",
      "Line 9521: DARCY\n",
      "Line 9522: EARNESTINE\n",
      "Line 9523: CARMELLA\n",
      "Line 9524: TAYLOR\n",
      "Line 9525: NOEMI\n",
      "Line 9526: MARCIE\n",
      "Line 9527: LIZA\n",
      "Line 9528: ANNABELLE\n",
      "Line 9529: LOUISA\n",
      "Line 9530: EARLENE\n",
      "Line 9531: MALLORY\n",
      "Line 9532: CARLENE\n",
      "Line 9533: NITA\n",
      "Line 9534: SELENA\n",
      "Line 9535: TANISHA\n",
      "Line 9536: KATY\n",
      "Line 9537: JULIANNE\n",
      "Line 9538: JOHN\n",
      "Line 9539: LAKISHA\n",
      "Line 9540: EDWINA\n",
      "Line 9541: MARICELA\n",
      "Line 9542: MARGERY\n",
      "Line 9543: KENYA\n",
      "Line 9544: DOLLIE\n",
      "Line 9545: ROXIE\n",
      "Line 9546: ROSLYN\n",
      "Line 9547: KATHRINE\n",
      "Line 9548: NANETTE\n",
      "Line 9549: CHARMAINE\n",
      "Line 9550: LAVONNE\n",
      "Line 9551: ILENE\n",
      "Line 9552: KRIS\n",
      "Line 9553: TAMMI\n",
      "Line 9554: SUZETTE\n",
      "Line 9555: CORINE\n",
      "Line 9556: KAYE\n",
      "Line 9557: JERRY\n",
      "Line 9558: MERLE\n",
      "Line 9559: CHRYSTAL\n",
      "Line 9560: LINA\n",
      "Line 9561: DEANNE\n",
      "Line 9562: LILIAN\n",
      "Line 9563: JULIANA\n",
      "Line 9564: ALINE\n",
      "Line 9565: LUANN\n",
      "Line 9566: KASEY\n",
      "Line 9567: MARYANNE\n",
      "Line 9568: EVANGELINE\n",
      "Line 9569: COLETTE\n",
      "Line 9570: MELVA\n",
      "Line 9571: LAWANDA\n",
      "Line 9572: YESENIA\n",
      "Line 9573: NADIA\n",
      "Line 9574: MADGE\n",
      "Line 9575: KATHIE\n",
      "Line 9576: EDDIE\n",
      "Line 9577: OPHELIA\n",
      "Line 9578: VALERIA\n",
      "Line 9579: NONA\n",
      "Line 9580: MITZI\n",
      "Line 9581: MARI\n",
      "Line 9582: GEORGETTE\n",
      "Line 9583: CLAUDINE\n",
      "Line 9584: FRAN\n",
      "Line 9585: ALISSA\n",
      "Line 9586: ROSEANN\n",
      "Line 9587: LAKEISHA\n",
      "Line 9588: SUSANNA\n",
      "Line 9589: REVA\n",
      "Line 9590: DEIDRE\n",
      "Line 9591: CHASITY\n",
      "Line 9592: SHEREE\n",
      "Line 9593: CARLY\n",
      "Line 9594: JAMES\n",
      "Line 9595: ELVIA\n",
      "Line 9596: ALYCE\n",
      "Line 9597: DEIRDRE\n",
      "Line 9598: GENA\n",
      "Line 9599: BRIANA\n",
      "Line 9600: ARACELI\n",
      "Line 9601: KATELYN\n",
      "Line 9602: ROSANNE\n",
      "Line 9603: WENDI\n",
      "Line 9604: TESSA\n",
      "Line 9605: BERTA\n",
      "Line 9606: MARVA\n",
      "Line 9607: IMELDA\n",
      "Line 9608: MARIETTA\n",
      "Line 9609: MARCI\n",
      "Line 9610: LEONOR\n",
      "Line 9611: ARLINE\n",
      "Line 9612: SASHA\n",
      "Line 9613: MADELYN\n",
      "Line 9614: JANNA\n",
      "Line 9615: JULIETTE\n",
      "Line 9616: DEENA\n",
      "Line 9617: AURELIA\n",
      "Line 9618: JOSEFA\n",
      "Line 9619: AUGUSTA\n",
      "Line 9620: LILIANA\n",
      "Line 9621: YOUNG\n",
      "Line 9622: CHRISTIAN\n",
      "Line 9623: LESSIE\n",
      "Line 9624: AMALIA\n",
      "Line 9625: SAVANNAH\n",
      "Line 9626: ANASTASIA\n",
      "Line 9627: VILMA\n",
      "Line 9628: NATALIA\n",
      "Line 9629: ROSELLA\n",
      "Line 9630: LYNNETTE\n",
      "Line 9631: CORINA\n",
      "Line 9632: ALFREDA\n",
      "Line 9633: LEANNA\n",
      "Line 9634: CAREY\n",
      "Line 9635: AMPARO\n",
      "Line 9636: COLEEN\n",
      "Line 9637: TAMRA\n",
      "Line 9638: AISHA\n",
      "Line 9639: WILDA\n",
      "Line 9640: KARYN\n",
      "Line 9641: CHERRY\n",
      "Line 9642: QUEEN\n",
      "Line 9643: MAURA\n",
      "Line 9644: MAI\n",
      "Line 9645: EVANGELINA\n",
      "Line 9646: ROSANNA\n",
      "Line 9647: HALLIE\n",
      "Line 9648: ERNA\n",
      "Line 9649: ENID\n",
      "Line 9650: MARIANA\n",
      "Line 9651: LACY\n",
      "Line 9652: JULIET\n",
      "Line 9653: JACKLYN\n",
      "Line 9654: FREIDA\n",
      "Line 9655: MADELEINE\n",
      "Line 9656: MARA\n",
      "Line 9657: HESTER\n",
      "Line 9658: CATHRYN\n",
      "Line 9659: LELIA\n",
      "Line 9660: CASANDRA\n",
      "Line 9661: BRIDGETT\n",
      "Line 9662: ANGELITA\n",
      "Line 9663: JANNIE\n",
      "Line 9664: DIONNE\n",
      "Line 9665: ANNMARIE\n",
      "Line 9666: KATINA\n",
      "Line 9667: BERYL\n",
      "Line 9668: PHOEBE\n",
      "Line 9669: MILLICENT\n",
      "Line 9670: KATHERYN\n",
      "Line 9671: DIANN\n",
      "Line 9672: CARISSA\n",
      "Line 9673: MARYELLEN\n",
      "Line 9674: LIZ\n",
      "Line 9675: LAURI\n",
      "Line 9676: HELGA\n",
      "Line 9677: GILDA\n",
      "Line 9678: ADRIAN\n",
      "Line 9679: RHEA\n",
      "Line 9680: MARQUITA\n",
      "Line 9681: HOLLIE\n",
      "Line 9682: TISHA\n",
      "Line 9683: TAMERA\n",
      "Line 9684: ANGELIQUE\n",
      "Line 9685: FRANCESCA\n",
      "Line 9686: BRITNEY\n",
      "Line 9687: KAITLIN\n",
      "Line 9688: LOLITA\n",
      "Line 9689: FLORINE\n",
      "Line 9690: ROWENA\n",
      "Line 9691: REYNA\n",
      "Line 9692: TWILA\n",
      "Line 9693: FANNY\n",
      "Line 9694: JANELL\n",
      "Line 9695: INES\n",
      "Line 9696: CONCETTA\n",
      "Line 9697: BERTIE\n",
      "Line 9698: ALBA\n",
      "Line 9699: BRIGITTE\n",
      "Line 9700: ALYSON\n",
      "Line 9701: VONDA\n",
      "Line 9702: PANSY\n",
      "Line 9703: ELBA\n",
      "Line 9704: NOELLE\n",
      "Line 9705: LETITIA\n",
      "Line 9706: KITTY\n",
      "Line 9707: DEANN\n",
      "Line 9708: BRANDIE\n",
      "Line 9709: LOUELLA\n",
      "Line 9710: LETA\n",
      "Line 9711: FELECIA\n",
      "Line 9712: SHARLENE\n",
      "Line 9713: LESA\n",
      "Line 9714: BEVERLEY\n",
      "Line 9715: ROBERT\n",
      "Line 9716: ISABELLA\n",
      "Line 9717: HERMINIA\n",
      "Line 9718: TERRA\n",
      "Line 9719: CELINA\n",
      "Line 9720: TORI\n",
      "Line 9721: OCTAVIA\n",
      "Line 9722: JADE\n",
      "Line 9723: DENICE\n",
      "Line 9724: GERMAINE\n",
      "Line 9725: SIERRA\n",
      "Line 9726: MICHELL\n",
      "Line 9727: CORTNEY\n",
      "Line 9728: NELLY\n",
      "Line 9729: DORETHA\n",
      "Line 9730: SYDNEY\n",
      "Line 9731: DEIDRA\n",
      "Line 9732: MONIKA\n",
      "Line 9733: LASHONDA\n",
      "Line 9734: JUDI\n",
      "Line 9735: CHELSEY\n",
      "Line 9736: ANTIONETTE\n",
      "Line 9737: MARGOT\n",
      "Line 9738: BOBBY\n",
      "Line 9739: ADELAIDE\n",
      "Line 9740: NAN\n",
      "Line 9741: LEEANN\n",
      "Line 9742: ELISHA\n",
      "Line 9743: DESSIE\n",
      "Line 9744: LIBBY\n",
      "Line 9745: KATHI\n",
      "Line 9746: GAYLA\n",
      "Line 9747: LATANYA\n",
      "Line 9748: MINA\n",
      "Line 9749: MELLISA\n",
      "Line 9750: KIMBERLEE\n",
      "Line 9751: JASMIN\n",
      "Line 9752: RENAE\n",
      "Line 9753: ZELDA\n",
      "Line 9754: ELDA\n",
      "Line 9755: MA\n",
      "Line 9756: JUSTINA\n",
      "Line 9757: GUSSIE\n",
      "Line 9758: EMILIE\n",
      "Line 9759: CAMILLA\n",
      "Line 9760: ABBIE\n",
      "Line 9761: ROCIO\n",
      "Line 9762: KAITLYN\n",
      "Line 9763: JESSE\n",
      "Line 9764: EDYTHE\n",
      "Line 9765: ASHLEIGH\n",
      "Line 9766: SELINA\n",
      "Line 9767: LAKESHA\n",
      "Line 9768: GERI\n",
      "Line 9769: ALLENE\n",
      "Line 9770: PAMALA\n",
      "Line 9771: MICHAELA\n",
      "Line 9772: DAYNA\n",
      "Line 9773: CARYN\n",
      "Line 9774: ROSALIA\n",
      "Line 9775: SUN\n",
      "Line 9776: JACQULINE\n",
      "Line 9777: REBECA\n",
      "Line 9778: MARYBETH\n",
      "Line 9779: KRYSTLE\n",
      "Line 9780: IOLA\n",
      "Line 9781: DOTTIE\n",
      "Line 9782: BENNIE\n",
      "Line 9783: BELLE\n",
      "Line 9784: AUBREY\n",
      "Line 9785: GRISELDA\n",
      "Line 9786: ERNESTINA\n",
      "Line 9787: ELIDA\n",
      "Line 9788: ADRIANNE\n",
      "Line 9789: DEMETRIA\n",
      "Line 9790: DELMA\n",
      "Line 9791: CHONG\n",
      "Line 9792: JAQUELINE\n",
      "Line 9793: DESTINY\n",
      "Line 9794: ARLEEN\n",
      "Line 9795: VIRGINA\n",
      "Line 9796: RETHA\n",
      "Line 9797: FATIMA\n",
      "Line 9798: TILLIE\n",
      "Line 9799: ELEANORE\n",
      "Line 9800: CARI\n",
      "Line 9801: TREVA\n",
      "Line 9802: BIRDIE\n",
      "Line 9803: WILHELMINA\n",
      "Line 9804: ROSALEE\n",
      "Line 9805: MAURINE\n",
      "Line 9806: LATRICE\n",
      "Line 9807: YONG\n",
      "Line 9808: JENA\n",
      "Line 9809: TARYN\n",
      "Line 9810: ELIA\n",
      "Line 9811: DEBBY\n",
      "Line 9812: MAUDIE\n",
      "Line 9813: JEANNA\n",
      "Line 9814: DELILAH\n",
      "Line 9815: CATRINA\n",
      "Line 9816: SHONDA\n",
      "Line 9817: HORTENCIA\n",
      "Line 9818: THEODORA\n",
      "Line 9819: TERESITA\n",
      "Line 9820: ROBBIN\n",
      "Line 9821: DANETTE\n",
      "Line 9822: MARYJANE\n",
      "Line 9823: FREDDIE\n",
      "Line 9824: DELPHINE\n",
      "Line 9825: BRIANNE\n",
      "Line 9826: NILDA\n",
      "Line 9827: DANNA\n",
      "Line 9828: CINDI\n",
      "Line 9829: BESS\n",
      "Line 9830: IONA\n",
      "Line 9831: HANNA\n",
      "Line 9832: ARIEL\n",
      "Line 9833: WINONA\n",
      "Line 9834: VIDA\n",
      "Line 9835: ROSITA\n",
      "Line 9836: MARIANNA\n",
      "Line 9837: WILLIAM\n",
      "Line 9838: RACHEAL\n",
      "Line 9839: GUILLERMINA\n",
      "Line 9840: ELOISA\n",
      "Line 9841: CELESTINE\n",
      "Line 9842: CAREN\n",
      "Line 9843: MALISSA\n",
      "Line 9844: LONA\n",
      "Line 9845: CHANTEL\n",
      "Line 9846: SHELLIE\n",
      "Line 9847: MARISELA\n",
      "Line 9848: LEORA\n",
      "Line 9849: AGATHA\n",
      "Line 9850: SOLEDAD\n",
      "Line 9851: MIGDALIA\n",
      "Line 9852: IVETTE\n",
      "Line 9853: CHRISTEN\n",
      "Line 9854: ATHENA\n",
      "Line 9855: JANEL\n",
      "Line 9856: CHLOE\n",
      "Line 9857: VEDA\n",
      "Line 9858: PATTIE\n",
      "Line 9859: TESSIE\n",
      "Line 9860: TERA\n",
      "Line 9861: MARILYNN\n",
      "Line 9862: LUCRETIA\n",
      "Line 9863: KARRIE\n",
      "Line 9864: DINAH\n",
      "Line 9865: DANIELA\n",
      "Line 9866: ALECIA\n",
      "Line 9867: ADELINA\n",
      "Line 9868: VERNICE\n",
      "Line 9869: SHIELA\n",
      "Line 9870: PORTIA\n",
      "Line 9871: MERRY\n",
      "Line 9872: LASHAWN\n",
      "Line 9873: DEVON\n",
      "Line 9874: DARA\n",
      "Line 9875: TAWANA\n",
      "Line 9876: OMA\n",
      "Line 9877: VERDA\n",
      "Line 9878: CHRISTIN\n",
      "Line 9879: ALENE\n",
      "Line 9880: ZELLA\n",
      "Line 9881: SANDI\n",
      "Line 9882: RAFAELA\n",
      "Line 9883: MAYA\n",
      "Line 9884: KIRA\n",
      "Line 9885: CANDIDA\n",
      "Line 9886: ALVINA\n",
      "Line 9887: SUZAN\n",
      "Line 9888: SHAYLA\n",
      "Line 9889: LYN\n",
      "Line 9890: LETTIE\n",
      "Line 9891: ALVA\n",
      "Line 9892: SAMATHA\n",
      "Line 9893: ORALIA\n",
      "Line 9894: MATILDE\n",
      "Line 9895: MADONNA\n",
      "Line 9896: LARISSA\n",
      "Line 9897: VESTA\n",
      "Line 9898: RENITA\n",
      "Line 9899: INDIA\n",
      "Line 9900: DELOIS\n",
      "Line 9901: SHANDA\n",
      "Line 9902: PHILLIS\n",
      "Line 9903: LORRI\n",
      "Line 9904: ERLINDA\n",
      "Line 9905: CRUZ\n",
      "Line 9906: CATHRINE\n",
      "Line 9907: BARB\n",
      "Line 9908: ZOE\n",
      "Line 9909: ISABELL\n",
      "Line 9910: IONE\n",
      "Line 9911: GISELA\n",
      "Line 9912: CHARLIE\n",
      "Line 9913: VALENCIA\n",
      "Line 9914: ROXANNA\n",
      "Line 9915: MAYME\n",
      "Line 9916: KISHA\n",
      "Line 9917: ELLIE\n",
      "Line 9918: MELLISSA\n",
      "Line 9919: DORRIS\n",
      "Line 9920: DALIA\n",
      "Line 9921: BELLA\n",
      "Line 9922: ANNETTA\n",
      "Line 9923: ZOILA\n",
      "Line 9924: RETA\n",
      "Line 9925: REINA\n",
      "Line 9926: LAURETTA\n",
      "Line 9927: KYLIE\n",
      "Line 9928: CHRISTAL\n",
      "Line 9929: PILAR\n",
      "Line 9930: CHARLA\n",
      "Line 9931: ELISSA\n",
      "Line 9932: TIFFANI\n",
      "Line 9933: TANA\n",
      "Line 9934: PAULINA\n",
      "Line 9935: LEOTA\n",
      "Line 9936: BREANNA\n",
      "Line 9937: JAYME\n",
      "Line 9938: CARMEL\n",
      "Line 9939: VERNELL\n",
      "Line 9940: TOMASA\n",
      "Line 9941: MANDI\n",
      "Line 9942: DOMINGA\n",
      "Line 9943: SANTA\n",
      "Line 9944: MELODIE\n",
      "Line 9945: LURA\n",
      "Line 9946: ALEXA\n",
      "Line 9947: TAMELA\n",
      "Line 9948: RYAN\n",
      "Line 9949: MIRNA\n",
      "Line 9950: KERRIE\n",
      "Line 9951: VENUS\n",
      "Line 9952: NOEL\n",
      "Line 9953: FELICITA\n",
      "Line 9954: CRISTY\n",
      "Line 9955: CARMELITA\n",
      "Line 9956: BERNIECE\n",
      "Line 9957: ANNEMARIE\n",
      "Line 9958: TIARA\n",
      "Line 9959: ROSEANNE\n",
      "Line 9960: MISSY\n",
      "Line 9961: CORI\n",
      "Line 9962: ROXANA\n",
      "Line 9963: PRICILLA\n",
      "Line 9964: KRISTAL\n",
      "Line 9965: JUNG\n",
      "Line 9966: ELYSE\n",
      "Line 9967: HAYDEE\n",
      "Line 9968: ALETHA\n",
      "Line 9969: BETTINA\n",
      "Line 9970: MARGE\n",
      "Line 9971: GILLIAN\n",
      "Line 9972: FILOMENA\n",
      "Line 9973: CHARLES\n",
      "Line 9974: ZENAIDA\n",
      "Line 9975: HARRIETTE\n",
      "Line 9976: CARIDAD\n",
      "Line 9977: VADA\n",
      "Line 9978: UNA\n",
      "Line 9979: ARETHA\n",
      "Line 9980: PEARLINE\n",
      "Line 9981: MARJORY\n",
      "Line 9982: MARCELA\n",
      "Line 9983: FLOR\n",
      "Line 9984: EVETTE\n",
      "Line 9985: ELOUISE\n",
      "Line 9986: ALINA\n",
      "Line 9987: TRINIDAD\n",
      "Line 9988: DAVID\n",
      "Line 9989: DAMARIS\n",
      "Line 9990: CATHARINE\n",
      "Line 9991: CARROLL\n",
      "Line 9992: BELVA\n",
      "Line 9993: NAKIA\n",
      "Line 9994: MARLENA\n",
      "Line 9995: LUANNE\n",
      "Line 9996: LORINE\n",
      "Line 9997: KARON\n",
      "Line 9998: DORENE\n",
      "Line 9999: DANITA\n",
      "Line 10000: BRENNA\n",
      "Line 10001: TATIANA\n",
      "Line 10002: SAMMIE\n",
      "Line 10003: LOUANN\n",
      "Line 10004: LOREN\n",
      "Line 10005: JULIANNA\n",
      "Line 10006: ANDRIA\n",
      "Line 10007: PHILOMENA\n",
      "Line 10008: LUCILA\n",
      "Line 10009: LEONORA\n",
      "Line 10010: DOVIE\n",
      "Line 10011: ROMONA\n",
      "Line 10012: MIMI\n",
      "Line 10013: JACQUELIN\n",
      "Line 10014: GAYE\n",
      "Line 10015: TONJA\n",
      "Line 10016: MISTI\n",
      "Line 10017: JOE\n",
      "Line 10018: GENE\n",
      "Line 10019: CHASTITY\n",
      "Line 10020: STACIA\n",
      "Line 10021: ROXANN\n",
      "Line 10022: MICAELA\n",
      "Line 10023: NIKITA\n",
      "Line 10024: MEI\n",
      "Line 10025: VELDA\n",
      "Line 10026: MARLYS\n",
      "Line 10027: JOHNNA\n",
      "Line 10028: AURA\n",
      "Line 10029: LAVERN\n",
      "Line 10030: IVONNE\n",
      "Line 10031: HAYLEY\n",
      "Line 10032: NICKI\n",
      "Line 10033: MAJORIE\n",
      "Line 10034: HERLINDA\n",
      "Line 10035: GEORGE\n",
      "Line 10036: ALPHA\n",
      "Line 10037: YADIRA\n",
      "Line 10038: PERLA\n",
      "Line 10039: GREGORIA\n",
      "Line 10040: DANIEL\n",
      "Line 10041: ANTONETTE\n",
      "Line 10042: SHELLI\n",
      "Line 10043: MOZELLE\n",
      "Line 10044: MARIAH\n",
      "Line 10045: JOELLE\n",
      "Line 10046: CORDELIA\n",
      "Line 10047: JOSETTE\n",
      "Line 10048: CHIQUITA\n",
      "Line 10049: TRISTA\n",
      "Line 10050: LOUIS\n",
      "Line 10051: LAQUITA\n",
      "Line 10052: GEORGIANA\n",
      "Line 10053: CANDI\n",
      "Line 10054: SHANON\n",
      "Line 10055: LONNIE\n",
      "Line 10056: HILDEGARD\n",
      "Line 10057: CECIL\n",
      "Line 10058: VALENTINA\n",
      "Line 10059: STEPHANY\n",
      "Line 10060: MAGDA\n",
      "Line 10061: KAROL\n",
      "Line 10062: GERRY\n",
      "Line 10063: GABRIELLA\n",
      "Line 10064: TIANA\n",
      "Line 10065: ROMA\n",
      "Line 10066: RICHELLE\n",
      "Line 10067: RAY\n",
      "Line 10068: PRINCESS\n",
      "Line 10069: OLETA\n",
      "Line 10070: JACQUE\n",
      "Line 10071: IDELLA\n",
      "Line 10072: ALAINA\n",
      "Line 10073: SUZANNA\n",
      "Line 10074: JOVITA\n",
      "Line 10075: BLAIR\n",
      "Line 10076: TOSHA\n",
      "Line 10077: RAVEN\n",
      "Line 10078: NEREIDA\n",
      "Line 10079: MARLYN\n",
      "Line 10080: KYLA\n",
      "Line 10081: JOSEPH\n",
      "Line 10082: DELFINA\n",
      "Line 10083: TENA\n",
      "Line 10084: STEPHENIE\n",
      "Line 10085: SABINA\n",
      "Line 10086: NATHALIE\n",
      "Line 10087: MARCELLE\n",
      "Line 10088: GERTIE\n",
      "Line 10089: DARLEEN\n",
      "Line 10090: THEA\n",
      "Line 10091: SHARONDA\n",
      "Line 10092: SHANTEL\n",
      "Line 10093: BELEN\n",
      "Line 10094: VENESSA\n",
      "Line 10095: ROSALINA\n",
      "Line 10096: ONA\n",
      "Line 10097: GENOVEVA\n",
      "Line 10098: COREY\n",
      "Line 10099: CLEMENTINE\n",
      "Line 10100: ROSALBA\n",
      "Line 10101: RENATE\n",
      "Line 10102: RENATA\n",
      "Line 10103: MI\n",
      "Line 10104: IVORY\n",
      "Line 10105: GEORGIANNA\n",
      "Line 10106: FLOY\n",
      "Line 10107: DORCAS\n",
      "Line 10108: ARIANA\n",
      "Line 10109: TYRA\n",
      "Line 10110: THEDA\n",
      "Line 10111: MARIAM\n",
      "Line 10112: JULI\n",
      "Line 10113: JESICA\n",
      "Line 10114: DONNIE\n",
      "Line 10115: VIKKI\n",
      "Line 10116: VERLA\n",
      "Line 10117: ROSELYN\n",
      "Line 10118: MELVINA\n",
      "Line 10119: JANNETTE\n",
      "Line 10120: GINNY\n",
      "Line 10121: DEBRAH\n",
      "Line 10122: CORRIE\n",
      "Line 10123: ASIA\n",
      "Line 10124: VIOLETA\n",
      "Line 10125: MYRTIS\n",
      "Line 10126: LATRICIA\n",
      "Line 10127: COLLETTE\n",
      "Line 10128: CHARLEEN\n",
      "Line 10129: ANISSA\n",
      "Line 10130: VIVIANA\n",
      "Line 10131: TWYLA\n",
      "Line 10132: PRECIOUS\n",
      "Line 10133: NEDRA\n",
      "Line 10134: LATONIA\n",
      "Line 10135: LAN\n",
      "Line 10136: HELLEN\n",
      "Line 10137: FABIOLA\n",
      "Line 10138: ANNAMARIE\n",
      "Line 10139: ADELL\n",
      "Line 10140: SHARYN\n",
      "Line 10141: CHANTAL\n",
      "Line 10142: NIKI\n",
      "Line 10143: MAUD\n",
      "Line 10144: LIZETTE\n",
      "Line 10145: LINDY\n",
      "Line 10146: KIA\n",
      "Line 10147: KESHA\n",
      "Line 10148: JEANA\n",
      "Line 10149: DANELLE\n",
      "Line 10150: CHARLINE\n",
      "Line 10151: CHANEL\n",
      "Line 10152: CARROL\n",
      "Line 10153: VALORIE\n",
      "Line 10154: LIA\n",
      "Line 10155: DORTHA\n",
      "Line 10156: CRISTAL\n",
      "Line 10157: SUNNY\n",
      "Line 10158: LEONE\n",
      "Line 10159: LEILANI\n",
      "Line 10160: GERRI\n",
      "Line 10161: DEBI\n",
      "Line 10162: ANDRA\n",
      "Line 10163: KESHIA\n",
      "Line 10164: IMA\n",
      "Line 10165: EULALIA\n",
      "Line 10166: EASTER\n",
      "Line 10167: DULCE\n",
      "Line 10168: NATIVIDAD\n",
      "Line 10169: LINNIE\n",
      "Line 10170: KAMI\n",
      "Line 10171: GEORGIE\n",
      "Line 10172: CATINA\n",
      "Line 10173: BROOK\n",
      "Line 10174: ALDA\n",
      "Line 10175: WINNIFRED\n",
      "Line 10176: SHARLA\n",
      "Line 10177: RUTHANN\n",
      "Line 10178: MEAGHAN\n",
      "Line 10179: MAGDALENE\n",
      "Line 10180: LISSETTE\n",
      "Line 10181: ADELAIDA\n",
      "Line 10182: VENITA\n",
      "Line 10183: TRENA\n",
      "Line 10184: SHIRLENE\n",
      "Line 10185: SHAMEKA\n",
      "Line 10186: ELIZEBETH\n",
      "Line 10187: DIAN\n",
      "Line 10188: SHANTA\n",
      "Line 10189: MICKEY\n",
      "Line 10190: LATOSHA\n",
      "Line 10191: CARLOTTA\n",
      "Line 10192: WINDY\n",
      "Line 10193: SOON\n",
      "Line 10194: ROSINA\n",
      "Line 10195: MARIANN\n",
      "Line 10196: LEISA\n",
      "Line 10197: JONNIE\n",
      "Line 10198: DAWNA\n",
      "Line 10199: CATHIE\n",
      "Line 10200: BILLY\n",
      "Line 10201: ASTRID\n",
      "Line 10202: SIDNEY\n",
      "Line 10203: LAUREEN\n",
      "Line 10204: JANEEN\n",
      "Line 10205: HOLLI\n",
      "Line 10206: FAWN\n",
      "Line 10207: VICKEY\n",
      "Line 10208: TERESSA\n",
      "Line 10209: SHANTE\n",
      "Line 10210: RUBYE\n",
      "Line 10211: MARCELINA\n",
      "Line 10212: CHANDA\n",
      "Line 10213: CARY\n",
      "Line 10214: TERESE\n",
      "Line 10215: SCARLETT\n",
      "Line 10216: MARTY\n",
      "Line 10217: MARNIE\n",
      "Line 10218: LULU\n",
      "Line 10219: LISETTE\n",
      "Line 10220: JENIFFER\n",
      "Line 10221: ELENOR\n",
      "Line 10222: DORINDA\n",
      "Line 10223: DONITA\n",
      "Line 10224: CARMAN\n",
      "Line 10225: BERNITA\n",
      "Line 10226: ALTAGRACIA\n",
      "Line 10227: ALETA\n",
      "Line 10228: ADRIANNA\n",
      "Line 10229: ZORAIDA\n",
      "Line 10230: RONNIE\n",
      "Line 10231: NICOLA\n",
      "Line 10232: LYNDSEY\n",
      "Line 10233: KENDALL\n",
      "Line 10234: JANINA\n",
      "Line 10235: CHRISSY\n",
      "Line 10236: AMI\n",
      "Line 10237: STARLA\n",
      "Line 10238: PHYLIS\n",
      "Line 10239: PHUONG\n",
      "Line 10240: KYRA\n",
      "Line 10241: CHARISSE\n",
      "Line 10242: BLANCH\n",
      "Line 10243: SANJUANITA\n",
      "Line 10244: RONA\n",
      "Line 10245: NANCI\n",
      "Line 10246: MARILEE\n",
      "Line 10247: MARANDA\n",
      "Line 10248: CORY\n",
      "Line 10249: BRIGETTE\n",
      "Line 10250: SANJUANA\n",
      "Line 10251: MARITA\n",
      "Line 10252: KASSANDRA\n",
      "Line 10253: JOYCELYN\n",
      "Line 10254: IRA\n",
      "Line 10255: FELIPA\n",
      "Line 10256: CHELSIE\n",
      "Line 10257: BONNY\n",
      "Line 10258: MIREYA\n",
      "Line 10259: LORENZA\n",
      "Line 10260: KYONG\n",
      "Line 10261: ILEANA\n",
      "Line 10262: CANDELARIA\n",
      "Line 10263: TONY\n",
      "Line 10264: TOBY\n",
      "Line 10265: SHERIE\n",
      "Line 10266: OK\n",
      "Line 10267: MARK\n",
      "Line 10268: LUCIE\n",
      "Line 10269: LEATRICE\n",
      "Line 10270: LAKESHIA\n",
      "Line 10271: GERDA\n",
      "Line 10272: EDIE\n",
      "Line 10273: BAMBI\n",
      "Line 10274: MARYLIN\n",
      "Line 10275: LAVON\n",
      "Line 10276: HORTENSE\n",
      "Line 10277: GARNET\n",
      "Line 10278: EVIE\n",
      "Line 10279: TRESSA\n",
      "Line 10280: SHAYNA\n",
      "Line 10281: LAVINA\n",
      "Line 10282: KYUNG\n",
      "Line 10283: JEANETTA\n",
      "Line 10284: SHERRILL\n",
      "Line 10285: SHARA\n",
      "Line 10286: PHYLISS\n",
      "Line 10287: MITTIE\n",
      "Line 10288: ANABEL\n",
      "Line 10289: ALESIA\n",
      "Line 10290: THUY\n",
      "Line 10291: TAWANDA\n",
      "Line 10292: RICHARD\n",
      "Line 10293: JOANIE\n",
      "Line 10294: TIFFANIE\n",
      "Line 10295: LASHANDA\n",
      "Line 10296: KARISSA\n",
      "Line 10297: ENRIQUETA\n",
      "Line 10298: DARIA\n",
      "Line 10299: DANIELLA\n",
      "Line 10300: CORINNA\n",
      "Line 10301: ALANNA\n",
      "Line 10302: ABBEY\n",
      "Line 10303: ROXANE\n",
      "Line 10304: ROSEANNA\n",
      "Line 10305: MAGNOLIA\n",
      "Line 10306: LIDA\n",
      "Line 10307: KYLE\n",
      "Line 10308: JOELLEN\n",
      "Line 10309: ERA\n",
      "Line 10310: CORAL\n",
      "Line 10311: CARLEEN\n",
      "Line 10312: TRESA\n",
      "Line 10313: PEGGIE\n",
      "Line 10314: NOVELLA\n",
      "Line 10315: NILA\n",
      "Line 10316: MAYBELLE\n",
      "Line 10317: JENELLE\n",
      "Line 10318: CARINA\n",
      "Line 10319: NOVA\n",
      "Line 10320: MELINA\n",
      "Line 10321: MARQUERITE\n",
      "Line 10322: MARGARETTE\n",
      "Line 10323: JOSEPHINA\n",
      "Line 10324: EVONNE\n",
      "Line 10325: DEVIN\n",
      "Line 10326: CINTHIA\n",
      "Line 10327: ALBINA\n",
      "Line 10328: TOYA\n",
      "Line 10329: TAWNYA\n",
      "Line 10330: SHERITA\n",
      "Line 10331: SANTOS\n",
      "Line 10332: MYRIAM\n",
      "Line 10333: LIZABETH\n",
      "Line 10334: LISE\n",
      "Line 10335: KEELY\n",
      "Line 10336: JENNI\n",
      "Line 10337: GISELLE\n",
      "Line 10338: CHERYLE\n",
      "Line 10339: ARDITH\n",
      "Line 10340: ARDIS\n",
      "Line 10341: ALESHA\n",
      "Line 10342: ADRIANE\n",
      "Line 10343: SHAINA\n",
      "Line 10344: LINNEA\n",
      "Line 10345: KAROLYN\n",
      "Line 10346: HONG\n",
      "Line 10347: FLORIDA\n",
      "Line 10348: FELISHA\n",
      "Line 10349: DORI\n",
      "Line 10350: DARCI\n",
      "Line 10351: ARTIE\n",
      "Line 10352: ARMIDA\n",
      "Line 10353: ZOLA\n",
      "Line 10354: XIOMARA\n",
      "Line 10355: VERGIE\n",
      "Line 10356: SHAMIKA\n",
      "Line 10357: NENA\n",
      "Line 10358: NANNETTE\n",
      "Line 10359: MAXIE\n",
      "Line 10360: LOVIE\n",
      "Line 10361: JEANE\n",
      "Line 10362: JAIMIE\n",
      "Line 10363: INGE\n",
      "Line 10364: FARRAH\n",
      "Line 10365: ELAINA\n",
      "Line 10366: CAITLYN\n",
      "Line 10367: STARR\n",
      "Line 10368: FELICITAS\n",
      "Line 10369: CHERLY\n",
      "Line 10370: CARYL\n",
      "Line 10371: YOLONDA\n",
      "Line 10372: YASMIN\n",
      "Line 10373: TEENA\n",
      "Line 10374: PRUDENCE\n",
      "Line 10375: PENNIE\n",
      "Line 10376: NYDIA\n",
      "Line 10377: MACKENZIE\n",
      "Line 10378: ORPHA\n",
      "Line 10379: MARVEL\n",
      "Line 10380: LIZBETH\n",
      "Line 10381: LAURETTE\n",
      "Line 10382: JERRIE\n",
      "Line 10383: HERMELINDA\n",
      "Line 10384: CAROLEE\n",
      "Line 10385: TIERRA\n",
      "Line 10386: MIRIAN\n",
      "Line 10387: META\n",
      "Line 10388: MELONY\n",
      "Line 10389: KORI\n",
      "Line 10390: JENNETTE\n",
      "Line 10391: JAMILA\n",
      "Line 10392: ENA\n",
      "Line 10393: ANH\n",
      "Line 10394: YOSHIKO\n",
      "Line 10395: SUSANNAH\n",
      "Line 10396: SALINA\n",
      "Line 10397: RHIANNON\n",
      "Line 10398: JOLEEN\n",
      "Line 10399: CRISTINE\n",
      "Line 10400: ASHTON\n",
      "Line 10401: ARACELY\n",
      "Line 10402: TOMEKA\n",
      "Line 10403: SHALONDA\n",
      "Line 10404: MARTI\n",
      "Line 10405: LACIE\n",
      "Line 10406: KALA\n",
      "Line 10407: JADA\n",
      "Line 10408: ILSE\n",
      "Line 10409: HAILEY\n",
      "Line 10410: BRITTANI\n",
      "Line 10411: ZONA\n",
      "Line 10412: SYBLE\n",
      "Line 10413: SHERRYL\n",
      "Line 10414: RANDY\n",
      "Line 10415: NIDIA\n",
      "Line 10416: MARLO\n",
      "Line 10417: KANDICE\n",
      "Line 10418: KANDI\n",
      "Line 10419: DEB\n",
      "Line 10420: DEAN\n",
      "Line 10421: AMERICA\n",
      "Line 10422: ALYCIA\n",
      "Line 10423: TOMMY\n",
      "Line 10424: RONNA\n",
      "Line 10425: NORENE\n",
      "Line 10426: MERCY\n",
      "Line 10427: JOSE\n",
      "Line 10428: INGEBORG\n",
      "Line 10429: GIOVANNA\n",
      "Line 10430: GEMMA\n",
      "Line 10431: CHRISTEL\n",
      "Line 10432: AUDRY\n",
      "Line 10433: ZORA\n",
      "Line 10434: VITA\n",
      "Line 10435: VAN\n",
      "Line 10436: TRISH\n",
      "Line 10437: STEPHAINE\n",
      "Line 10438: SHIRLEE\n",
      "Line 10439: SHANIKA\n",
      "Line 10440: MELONIE\n",
      "Line 10441: MAZIE\n",
      "Line 10442: JAZMIN\n",
      "Line 10443: INGA\n",
      "Line 10444: HOA\n",
      "Line 10445: HETTIE\n",
      "Line 10446: GERALYN\n",
      "Line 10447: FONDA\n",
      "Line 10448: ESTRELLA\n",
      "Line 10449: ADELLA\n",
      "Line 10450: SU\n",
      "Line 10451: SARITA\n",
      "Line 10452: RINA\n",
      "Line 10453: MILISSA\n",
      "Line 10454: MARIBETH\n",
      "Line 10455: GOLDA\n",
      "Line 10456: EVON\n",
      "Line 10457: ETHELYN\n",
      "Line 10458: ENEDINA\n",
      "Line 10459: CHERISE\n",
      "Line 10460: CHANA\n",
      "Line 10461: VELVA\n",
      "Line 10462: TAWANNA\n",
      "Line 10463: SADE\n",
      "Line 10464: MIRTA\n",
      "Line 10465: LI\n",
      "Line 10466: KARIE\n",
      "Line 10467: JACINTA\n",
      "Line 10468: ELNA\n",
      "Line 10469: DAVINA\n",
      "Line 10470: CIERRA\n",
      "Line 10471: ASHLIE\n",
      "Line 10472: ALBERTHA\n",
      "Line 10473: TANESHA\n",
      "Line 10474: STEPHANI\n",
      "Line 10475: NELLE\n",
      "Line 10476: MINDI\n",
      "Line 10477: LU\n",
      "Line 10478: LORINDA\n",
      "Line 10479: LARUE\n",
      "Line 10480: FLORENE\n",
      "Line 10481: DEMETRA\n",
      "Line 10482: DEDRA\n",
      "Line 10483: CIARA\n",
      "Line 10484: CHANTELLE\n",
      "Line 10485: ASHLY\n",
      "Line 10486: SUZY\n",
      "Line 10487: ROSALVA\n",
      "Line 10488: NOELIA\n",
      "Line 10489: LYDA\n",
      "Line 10490: LEATHA\n",
      "Line 10491: KRYSTYNA\n",
      "Line 10492: KRISTAN\n",
      "Line 10493: KARRI\n",
      "Line 10494: DARLINE\n",
      "Line 10495: DARCIE\n",
      "Line 10496: CINDA\n",
      "Line 10497: CHEYENNE\n",
      "Line 10498: CHERRIE\n",
      "Line 10499: AWILDA\n",
      "Line 10500: ALMEDA\n",
      "Line 10501: ROLANDA\n",
      "Line 10502: LANETTE\n",
      "Line 10503: JERILYN\n",
      "Line 10504: GISELE\n",
      "Line 10505: EVALYN\n",
      "Line 10506: CYNDI\n",
      "Line 10507: CLETA\n",
      "Line 10508: CARIN\n",
      "Line 10509: ZINA\n",
      "Line 10510: ZENA\n",
      "Line 10511: VELIA\n",
      "Line 10512: TANIKA\n",
      "Line 10513: PAUL\n",
      "Line 10514: CHARISSA\n",
      "Line 10515: THOMAS\n",
      "Line 10516: TALIA\n",
      "Line 10517: MARGARETE\n",
      "Line 10518: LAVONDA\n",
      "Line 10519: KAYLEE\n",
      "Line 10520: KATHLENE\n",
      "Line 10521: JONNA\n",
      "Line 10522: IRENA\n",
      "Line 10523: ILONA\n",
      "Line 10524: IDALIA\n",
      "Line 10525: CANDIS\n",
      "Line 10526: CANDANCE\n",
      "Line 10527: BRANDEE\n",
      "Line 10528: ANITRA\n",
      "Line 10529: ALIDA\n",
      "Line 10530: SIGRID\n",
      "Line 10531: NICOLETTE\n",
      "Line 10532: MARYJO\n",
      "Line 10533: LINETTE\n",
      "Line 10534: HEDWIG\n",
      "Line 10535: CHRISTIANA\n",
      "Line 10536: CASSIDY\n",
      "Line 10537: ALEXIA\n",
      "Line 10538: TRESSIE\n",
      "Line 10539: MODESTA\n",
      "Line 10540: LUPITA\n",
      "Line 10541: LITA\n",
      "Line 10542: GLADIS\n",
      "Line 10543: EVELIA\n",
      "Line 10544: DAVIDA\n",
      "Line 10545: CHERRI\n",
      "Line 10546: CECILY\n",
      "Line 10547: ASHELY\n",
      "Line 10548: ANNABEL\n",
      "Line 10549: AGUSTINA\n",
      "Line 10550: WANITA\n",
      "Line 10551: SHIRLY\n",
      "Line 10552: ROSAURA\n",
      "Line 10553: HULDA\n",
      "Line 10554: EUN\n",
      "Line 10555: BAILEY\n",
      "Line 10556: YETTA\n",
      "Line 10557: VERONA\n",
      "Line 10558: THOMASINA\n",
      "Line 10559: SIBYL\n",
      "Line 10560: SHANNAN\n",
      "Line 10561: MECHELLE\n",
      "Line 10562: LUE\n",
      "Line 10563: LEANDRA\n",
      "Line 10564: LANI\n",
      "Line 10565: KYLEE\n",
      "Line 10566: KANDY\n",
      "Line 10567: JOLYNN\n",
      "Line 10568: FERNE\n",
      "Line 10569: EBONI\n",
      "Line 10570: CORENE\n",
      "Line 10571: ALYSIA\n",
      "Line 10572: ZULA\n",
      "Line 10573: NADA\n",
      "Line 10574: MOIRA\n",
      "Line 10575: LYNDSAY\n",
      "Line 10576: LORRETTA\n",
      "Line 10577: JUAN\n",
      "Line 10578: JAMMIE\n",
      "Line 10579: HORTENSIA\n",
      "Line 10580: GAYNELL\n",
      "Line 10581: CAMERON\n",
      "Line 10582: ADRIA\n",
      "Line 10583: VINA\n",
      "Line 10584: VICENTA\n",
      "Line 10585: TANGELA\n",
      "Line 10586: STEPHINE\n",
      "Line 10587: NORINE\n",
      "Line 10588: NELLA\n",
      "Line 10589: LIANA\n",
      "Line 10590: LESLEE\n",
      "Line 10591: KIMBERELY\n",
      "Line 10592: ILIANA\n",
      "Line 10593: GLORY\n",
      "Line 10594: FELICA\n",
      "Line 10595: EMOGENE\n",
      "Line 10596: ELFRIEDE\n",
      "Line 10597: EDEN\n",
      "Line 10598: EARTHA\n",
      "Line 10599: CARMA\n",
      "Line 10600: BEA\n",
      "Line 10601: OCIE\n",
      "Line 10602: MARRY\n",
      "Line 10603: LENNIE\n",
      "Line 10604: KIARA\n",
      "Line 10605: JACALYN\n",
      "Line 10606: CARLOTA\n",
      "Line 10607: ARIELLE\n",
      "Line 10608: YU\n",
      "Line 10609: STAR\n",
      "Line 10610: OTILIA\n",
      "Line 10611: KIRSTIN\n",
      "Line 10612: KACEY\n",
      "Line 10613: JOHNETTA\n",
      "Line 10614: JOEY\n",
      "Line 10615: JOETTA\n",
      "Line 10616: JERALDINE\n",
      "Line 10617: JAUNITA\n",
      "Line 10618: ELANA\n",
      "Line 10619: DORTHEA\n",
      "Line 10620: CAMI\n",
      "Line 10621: AMADA\n",
      "Line 10622: ADELIA\n",
      "Line 10623: VERNITA\n",
      "Line 10624: TAMAR\n",
      "Line 10625: SIOBHAN\n",
      "Line 10626: RENEA\n",
      "Line 10627: RASHIDA\n",
      "Line 10628: OUIDA\n",
      "Line 10629: ODELL\n",
      "Line 10630: NILSA\n",
      "Line 10631: MERYL\n",
      "Line 10632: KRISTYN\n",
      "Line 10633: JULIETA\n",
      "Line 10634: DANICA\n",
      "Line 10635: BREANNE\n",
      "Line 10636: AUREA\n",
      "Line 10637: ANGLEA\n",
      "Line 10638: SHERRON\n",
      "Line 10639: ODETTE\n",
      "Line 10640: MALIA\n",
      "Line 10641: LORELEI\n",
      "Line 10642: LIN\n",
      "Line 10643: LEESA\n",
      "Line 10644: KENNA\n",
      "Line 10645: KATHLYN\n",
      "Line 10646: FIONA\n",
      "Line 10647: CHARLETTE\n",
      "Line 10648: SUZIE\n",
      "Line 10649: SHANTELL\n",
      "Line 10650: SABRA\n",
      "Line 10651: RACQUEL\n",
      "Line 10652: MYONG\n",
      "Line 10653: MIRA\n",
      "Line 10654: MARTINE\n",
      "Line 10655: LUCIENNE\n",
      "Line 10656: LAVADA\n",
      "Line 10657: JULIANN\n",
      "Line 10658: JOHNIE\n",
      "Line 10659: ELVERA\n",
      "Line 10660: DELPHIA\n",
      "Line 10661: CLAIR\n",
      "Line 10662: CHRISTIANE\n",
      "Line 10663: CHAROLETTE\n",
      "Line 10664: CARRI\n",
      "Line 10665: AUGUSTINE\n",
      "Line 10666: ASHA\n",
      "Line 10667: ANGELLA\n",
      "Line 10668: PAOLA\n",
      "Line 10669: NINFA\n",
      "Line 10670: LEDA\n",
      "Line 10671: LAI\n",
      "Line 10672: EDA\n",
      "Line 10673: SUNSHINE\n",
      "Line 10674: STEFANI\n",
      "Line 10675: SHANELL\n",
      "Line 10676: PALMA\n",
      "Line 10677: MACHELLE\n",
      "Line 10678: LISSA\n",
      "Line 10679: KECIA\n",
      "Line 10680: KATHRYNE\n",
      "Line 10681: KARLENE\n",
      "Line 10682: JULISSA\n",
      "Line 10683: JETTIE\n",
      "Line 10684: JENNIFFER\n",
      "Line 10685: HUI\n",
      "Line 10686: CORRINA\n",
      "Line 10687: CHRISTOPHER\n",
      "Line 10688: CAROLANN\n",
      "Line 10689: ALENA\n",
      "Line 10690: TESS\n",
      "Line 10691: ROSARIA\n",
      "Line 10692: MYRTICE\n",
      "Line 10693: MARYLEE\n",
      "Line 10694: LIANE\n",
      "Line 10695: KENYATTA\n",
      "Line 10696: JUDIE\n",
      "Line 10697: JANEY\n",
      "Line 10698: IN\n",
      "Line 10699: ELMIRA\n",
      "Line 10700: ELDORA\n",
      "Line 10701: DENNA\n",
      "Line 10702: CRISTI\n",
      "Line 10703: CATHI\n",
      "Line 10704: ZAIDA\n",
      "Line 10705: VONNIE\n",
      "Line 10706: VIVA\n",
      "Line 10707: VERNIE\n",
      "Line 10708: ROSALINE\n",
      "Line 10709: MARIELA\n",
      "Line 10710: LUCIANA\n",
      "Line 10711: LESLI\n",
      "Line 10712: KARAN\n",
      "Line 10713: FELICE\n",
      "Line 10714: DENEEN\n",
      "Line 10715: ADINA\n",
      "Line 10716: WYNONA\n",
      "Line 10717: TARSHA\n",
      "Line 10718: SHERON\n",
      "Line 10719: SHASTA\n",
      "Line 10720: SHANITA\n",
      "Line 10721: SHANI\n",
      "Line 10722: SHANDRA\n",
      "Line 10723: RANDA\n",
      "Line 10724: PINKIE\n",
      "Line 10725: PARIS\n",
      "Line 10726: NELIDA\n",
      "Line 10727: MARILOU\n",
      "Line 10728: LYLA\n",
      "Line 10729: LAURENE\n",
      "Line 10730: LACI\n",
      "Line 10731: JOI\n",
      "Line 10732: JANENE\n",
      "Line 10733: DOROTHA\n",
      "Line 10734: DANIELE\n",
      "Line 10735: DANI\n",
      "Line 10736: CAROLYNN\n",
      "Line 10737: CARLYN\n",
      "Line 10738: BERENICE\n",
      "Line 10739: AYESHA\n",
      "Line 10740: ANNELIESE\n",
      "Line 10741: ALETHEA\n",
      "Line 10742: THERSA\n",
      "Line 10743: TAMIKO\n",
      "Line 10744: RUFINA\n",
      "Line 10745: OLIVA\n",
      "Line 10746: MOZELL\n",
      "Line 10747: MARYLYN\n",
      "Line 10748: MADISON\n",
      "Line 10749: KRISTIAN\n",
      "Line 10750: KATHYRN\n",
      "Line 10751: KASANDRA\n",
      "Line 10752: KANDACE\n",
      "Line 10753: JANAE\n",
      "Line 10754: GABRIEL\n",
      "Line 10755: DOMENICA\n",
      "Line 10756: DEBBRA\n",
      "Line 10757: DANNIELLE\n",
      "Line 10758: CHUN\n",
      "Line 10759: BUFFY\n",
      "Line 10760: BARBIE\n",
      "Line 10761: ARCELIA\n",
      "Line 10762: AJA\n",
      "Line 10763: ZENOBIA\n",
      "Line 10764: SHAREN\n",
      "Line 10765: SHAREE\n",
      "Line 10766: PATRICK\n",
      "Line 10767: PAGE\n",
      "Line 10768: MY\n",
      "Line 10769: LAVINIA\n",
      "Line 10770: KUM\n",
      "Line 10771: KACIE\n",
      "Line 10772: JACKELINE\n",
      "Line 10773: HUONG\n",
      "Line 10774: FELISA\n",
      "Line 10775: EMELIA\n",
      "Line 10776: ELEANORA\n",
      "Line 10777: CYTHIA\n",
      "Line 10778: CRISTIN\n",
      "Line 10779: CLYDE\n",
      "Line 10780: CLARIBEL\n",
      "Line 10781: CARON\n",
      "Line 10782: ANASTACIA\n",
      "Line 10783: ZULMA\n",
      "Line 10784: ZANDRA\n",
      "Line 10785: YOKO\n",
      "Line 10786: TENISHA\n",
      "Line 10787: SUSANN\n",
      "Line 10788: SHERILYN\n",
      "Line 10789: SHAY\n",
      "Line 10790: SHAWANDA\n",
      "Line 10791: SABINE\n",
      "Line 10792: ROMANA\n",
      "Line 10793: MATHILDA\n",
      "Line 10794: LINSEY\n",
      "Line 10795: KEIKO\n",
      "Line 10796: JOANA\n",
      "Line 10797: ISELA\n",
      "Line 10798: GRETTA\n",
      "Line 10799: GEORGETTA\n",
      "Line 10800: EUGENIE\n",
      "Line 10801: DUSTY\n",
      "Line 10802: DESIRAE\n",
      "Line 10803: DELORA\n",
      "Line 10804: CORAZON\n",
      "Line 10805: ANTONINA\n",
      "Line 10806: ANIKA\n",
      "Line 10807: WILLENE\n",
      "Line 10808: TRACEE\n",
      "Line 10809: TAMATHA\n",
      "Line 10810: REGAN\n",
      "Line 10811: NICHELLE\n",
      "Line 10812: MICKIE\n",
      "Line 10813: MAEGAN\n",
      "Line 10814: LUANA\n",
      "Line 10815: LANITA\n",
      "Line 10816: KELSIE\n",
      "Line 10817: EDELMIRA\n",
      "Line 10818: BREE\n",
      "Line 10819: AFTON\n",
      "Line 10820: TEODORA\n",
      "Line 10821: TAMIE\n",
      "Line 10822: SHENA\n",
      "Line 10823: MEG\n",
      "Line 10824: LINH\n",
      "Line 10825: KELI\n",
      "Line 10826: KACI\n",
      "Line 10827: DANYELLE\n",
      "Line 10828: BRITT\n",
      "Line 10829: ARLETTE\n",
      "Line 10830: ALBERTINE\n",
      "Line 10831: ADELLE\n",
      "Line 10832: TIFFINY\n",
      "Line 10833: STORMY\n",
      "Line 10834: SIMONA\n",
      "Line 10835: NUMBERS\n",
      "Line 10836: NICOLASA\n",
      "Line 10837: NICHOL\n",
      "Line 10838: NIA\n",
      "Line 10839: NAKISHA\n",
      "Line 10840: MEE\n",
      "Line 10841: MAIRA\n",
      "Line 10842: LOREEN\n",
      "Line 10843: KIZZY\n",
      "Line 10844: JOHNNY\n",
      "Line 10845: JAY\n",
      "Line 10846: FALLON\n",
      "Line 10847: CHRISTENE\n",
      "Line 10848: BOBBYE\n",
      "Line 10849: ANTHONY\n",
      "Line 10850: YING\n",
      "Line 10851: VINCENZA\n",
      "Line 10852: TANJA\n",
      "Line 10853: RUBIE\n",
      "Line 10854: RONI\n",
      "Line 10855: QUEENIE\n",
      "Line 10856: MARGARETT\n",
      "Line 10857: KIMBERLI\n",
      "Line 10858: IRMGARD\n",
      "Line 10859: IDELL\n",
      "Line 10860: HILMA\n",
      "Line 10861: EVELINA\n",
      "Line 10862: ESTA\n",
      "Line 10863: EMILEE\n",
      "Line 10864: DENNISE\n",
      "Line 10865: DANIA\n",
      "Line 10866: CARL\n",
      "Line 10867: CARIE\n",
      "Line 10868: ANTONIO\n",
      "Line 10869: WAI\n",
      "Line 10870: SANG\n",
      "Line 10871: RISA\n",
      "Line 10872: RIKKI\n",
      "Line 10873: PARTICIA\n",
      "Line 10874: MUI\n",
      "Line 10875: MASAKO\n",
      "Line 10876: MARIO\n",
      "Line 10877: LUVENIA\n",
      "Line 10878: LOREE\n",
      "Line 10879: LONI\n",
      "Line 10880: LIEN\n",
      "Line 10881: KEVIN\n",
      "Line 10882: GIGI\n",
      "Line 10883: FLORENCIA\n",
      "Line 10884: DORIAN\n",
      "Line 10885: DENITA\n",
      "Line 10886: DALLAS\n",
      "Line 10887: CHI\n",
      "Line 10888: BILLYE\n",
      "Line 10889: ALEXANDER\n",
      "Line 10890: TOMIKA\n",
      "Line 10891: SHARITA\n",
      "Line 10892: RANA\n",
      "Line 10893: NIKOLE\n",
      "Line 10894: NEOMA\n",
      "Line 10895: MARGARITE\n",
      "Line 10896: MADALYN\n",
      "Line 10897: LUCINA\n",
      "Line 10898: LAILA\n",
      "Line 10899: KALI\n",
      "Line 10900: JENETTE\n",
      "Line 10901: GABRIELE\n",
      "Line 10902: EVELYNE\n",
      "Line 10903: ELENORA\n",
      "Line 10904: CLEMENTINA\n",
      "Line 10905: ALEJANDRINA\n",
      "Line 10906: ZULEMA\n",
      "Line 10907: VIOLETTE\n",
      "Line 10908: VANNESSA\n",
      "Line 10909: THRESA\n",
      "Line 10910: RETTA\n",
      "Line 10911: PIA\n",
      "Line 10912: PATIENCE\n",
      "Line 10913: NOELLA\n",
      "Line 10914: NICKIE\n",
      "Line 10915: JONELL\n",
      "Line 10916: DELTA\n",
      "Line 10917: CHUNG\n",
      "Line 10918: CHAYA\n",
      "Line 10919: CAMELIA\n",
      "Line 10920: BETHEL\n",
      "Line 10921: ANYA\n",
      "Line 10922: ANDREW\n",
      "Line 10923: THANH\n",
      "Line 10924: SUZANN\n",
      "Line 10925: SPRING\n",
      "Line 10926: SHU\n",
      "Line 10927: MILA\n",
      "Line 10928: LILLA\n",
      "Line 10929: LAVERNA\n",
      "Line 10930: KEESHA\n",
      "Line 10931: KATTIE\n",
      "Line 10932: GIA\n",
      "Line 10933: GEORGENE\n",
      "Line 10934: EVELINE\n",
      "Line 10935: ESTELL\n",
      "Line 10936: ELIZBETH\n",
      "Line 10937: VIVIENNE\n",
      "Line 10938: VALLIE\n",
      "Line 10939: TRUDIE\n",
      "Line 10940: STEPHANE\n",
      "Line 10941: MICHEL\n",
      "Line 10942: MAGALY\n",
      "Line 10943: MADIE\n",
      "Line 10944: KENYETTA\n",
      "Line 10945: KARREN\n",
      "Line 10946: JANETTA\n",
      "Line 10947: HERMINE\n",
      "Line 10948: HARMONY\n",
      "Line 10949: DRUCILLA\n",
      "Line 10950: DEBBI\n",
      "Line 10951: CELESTINA\n",
      "Line 10952: CANDIE\n",
      "Line 10953: BRITNI\n",
      "Line 10954: BECKIE\n",
      "Line 10955: AMINA\n",
      "Line 10956: ZITA\n",
      "Line 10957: YUN\n",
      "Line 10958: YOLANDE\n",
      "Line 10959: VIVIEN\n",
      "Line 10960: VERNETTA\n",
      "Line 10961: TRUDI\n",
      "Line 10962: SOMMER\n",
      "Line 10963: PEARLE\n",
      "Line 10964: PATRINA\n",
      "Line 10965: OSSIE\n",
      "Line 10966: NICOLLE\n",
      "Line 10967: LOYCE\n",
      "Line 10968: LETTY\n",
      "Line 10969: LARISA\n",
      "Line 10970: KATHARINA\n",
      "Line 10971: JOSELYN\n",
      "Line 10972: JONELLE\n",
      "Line 10973: JENELL\n",
      "Line 10974: IESHA\n",
      "Line 10975: HEIDE\n",
      "Line 10976: FLORINDA\n",
      "Line 10977: FLORENTINA\n",
      "Line 10978: FLO\n",
      "Line 10979: ELODIA\n",
      "Line 10980: DORINE\n",
      "Line 10981: BRUNILDA\n",
      "Line 10982: BRIGID\n",
      "Line 10983: ASHLI\n",
      "Line 10984: ARDELLA\n",
      "Line 10985: TWANA\n",
      "Line 10986: THU\n",
      "Line 10987: TARAH\n",
      "Line 10988: SUNG\n",
      "Line 10989: SHEA\n",
      "Line 10990: SHAVON\n",
      "Line 10991: SHANE\n",
      "Line 10992: SERINA\n",
      "Line 10993: RAYNA\n",
      "Line 10994: RAMONITA\n",
      "Line 10995: NGA\n",
      "Line 10996: MARGURITE\n",
      "Line 10997: LUCRECIA\n",
      "Line 10998: KOURTNEY\n",
      "Line 10999: KATI\n",
      "Line 11000: JESUS\n",
      "Line 11001: JESENIA\n",
      "Line 11002: DIAMOND\n",
      "Line 11003: CRISTA\n",
      "Line 11004: AYANA\n",
      "Line 11005: ALICA\n",
      "Line 11006: ALIA\n",
      "Line 11007: VINNIE\n",
      "Line 11008: SUELLEN\n",
      "Line 11009: ROMELIA\n",
      "Line 11010: RACHELL\n",
      "Line 11011: PIPER\n",
      "Line 11012: OLYMPIA\n",
      "Line 11013: MICHIKO\n",
      "Line 11014: KATHALEEN\n",
      "Line 11015: JOLIE\n",
      "Line 11016: JESSI\n",
      "Line 11017: JANESSA\n",
      "Line 11018: HANA\n",
      "Line 11019: HA\n",
      "Line 11020: ELEASE\n",
      "Line 11021: CARLETTA\n",
      "Line 11022: BRITANY\n",
      "Line 11023: SHONA\n",
      "Line 11024: SALOME\n",
      "Line 11025: ROSAMOND\n",
      "Line 11026: REGENA\n",
      "Line 11027: RAINA\n",
      "Line 11028: NGOC\n",
      "Line 11029: NELIA\n",
      "Line 11030: LOUVENIA\n",
      "Line 11031: LESIA\n",
      "Line 11032: LATRINA\n",
      "Line 11033: LATICIA\n",
      "Line 11034: LARHONDA\n",
      "Line 11035: JINA\n",
      "Line 11036: JACKI\n",
      "Line 11037: HOLLIS\n",
      "Line 11038: HOLLEY\n",
      "Line 11039: EMMY\n",
      "Line 11040: DEEANN\n",
      "Line 11041: CORETTA\n",
      "Line 11042: ARNETTA\n",
      "Line 11043: VELVET\n",
      "Line 11044: THALIA\n",
      "Line 11045: SHANICE\n",
      "Line 11046: NETA\n",
      "Line 11047: MIKKI\n",
      "Line 11048: MICKI\n",
      "Line 11049: LONNA\n",
      "Line 11050: LEANA\n",
      "Line 11051: LASHUNDA\n",
      "Line 11052: KILEY\n",
      "Line 11053: JOYE\n",
      "Line 11054: JACQULYN\n",
      "Line 11055: IGNACIA\n",
      "Line 11056: HYUN\n",
      "Line 11057: HIROKO\n",
      "Line 11058: HENRY\n",
      "Line 11059: HENRIETTE\n",
      "Line 11060: ELAYNE\n",
      "Line 11061: DELINDA\n",
      "Line 11062: DARNELL\n",
      "Line 11063: DAHLIA\n",
      "Line 11064: COREEN\n",
      "Line 11065: CONSUELA\n",
      "Line 11066: CONCHITA\n",
      "Line 11067: CELINE\n",
      "Line 11068: BABETTE\n",
      "Line 11069: AYANNA\n",
      "Line 11070: ANETTE\n",
      "Line 11071: ALBERTINA\n",
      "Line 11072: SKYE\n",
      "Line 11073: SHAWNEE\n",
      "Line 11074: SHANEKA\n",
      "Line 11075: QUIANA\n",
      "Line 11076: PAMELIA\n",
      "Line 11077: MIN\n",
      "Line 11078: MERRI\n",
      "Line 11079: MERLENE\n",
      "Line 11080: MARGIT\n",
      "Line 11081: KIESHA\n",
      "Line 11082: KIERA\n",
      "Line 11083: KAYLENE\n",
      "Line 11084: JODEE\n",
      "Line 11085: JENISE\n",
      "Line 11086: ERLENE\n",
      "Line 11087: EMMIE\n",
      "Line 11088: ELSE\n",
      "Line 11089: DARYL\n",
      "Line 11090: DALILA\n",
      "Line 11091: DAISEY\n",
      "Line 11092: CODY\n",
      "Line 11093: CASIE\n",
      "Line 11094: BELIA\n",
      "Line 11095: BABARA\n",
      "Line 11096: VERSIE\n",
      "Line 11097: VANESA\n",
      "Line 11098: SHELBA\n",
      "Line 11099: SHAWNDA\n",
      "Line 11100: SAM\n",
      "Line 11101: NORMAN\n",
      "Line 11102: NIKIA\n",
      "Line 11103: NAOMA\n",
      "Line 11104: MARNA\n",
      "Line 11105: MARGERET\n",
      "Line 11106: MADALINE\n",
      "Line 11107: LAWANA\n",
      "Line 11108: KINDRA\n",
      "Line 11109: JUTTA\n",
      "Line 11110: JAZMINE\n",
      "Line 11111: JANETT\n",
      "Line 11112: HANNELORE\n",
      "Line 11113: GLENDORA\n",
      "Line 11114: GERTRUD\n",
      "Line 11115: GARNETT\n",
      "Line 11116: FREEDA\n",
      "Line 11117: FREDERICA\n",
      "Line 11118: FLORANCE\n",
      "Line 11119: FLAVIA\n",
      "Line 11120: DENNIS\n",
      "Line 11121: CARLINE\n",
      "Line 11122: BEVERLEE\n",
      "Line 11123: ANJANETTE\n",
      "Line 11124: VALDA\n",
      "Line 11125: TRINITY\n",
      "Line 11126: TAMALA\n",
      "Line 11127: STEVIE\n",
      "Line 11128: SHONNA\n",
      "Line 11129: SHA\n",
      "Line 11130: SARINA\n",
      "Line 11131: ONEIDA\n",
      "Line 11132: MICAH\n",
      "Line 11133: MERILYN\n",
      "Line 11134: MARLEEN\n",
      "Line 11135: LURLINE\n",
      "Line 11136: LENNA\n",
      "Line 11137: KATHERIN\n",
      "Line 11138: JIN\n",
      "Line 11139: JENI\n",
      "Line 11140: HAE\n",
      "Line 11141: GRACIA\n",
      "Line 11142: GLADY\n",
      "Line 11143: FARAH\n",
      "Line 11144: ERIC\n",
      "Line 11145: ENOLA\n",
      "Line 11146: EMA\n",
      "Line 11147: DOMINQUE\n",
      "Line 11148: DEVONA\n",
      "Line 11149: DELANA\n",
      "Line 11150: CECILA\n",
      "Line 11151: CAPRICE\n",
      "Line 11152: ALYSHA\n",
      "Line 11153: ALI\n",
      "Line 11154: ALETHIA\n",
      "Line 11155: VENA\n",
      "Line 11156: THERESIA\n",
      "Line 11157: TAWNY\n",
      "Line 11158: SONG\n",
      "Line 11159: SHAKIRA\n",
      "Line 11160: SAMARA\n",
      "Line 11161: SACHIKO\n",
      "Line 11162: RACHELE\n",
      "Line 11163: PAMELLA\n",
      "Line 11164: NICKY\n",
      "Line 11165: MARNI\n",
      "Line 11166: MARIEL\n",
      "Line 11167: MAREN\n",
      "Line 11168: MALISA\n",
      "Line 11169: LIGIA\n",
      "Line 11170: LERA\n",
      "Line 11171: LATORIA\n",
      "Line 11172: LARAE\n",
      "Line 11173: KIMBER\n",
      "Line 11174: KATHERN\n",
      "Line 11175: KAREY\n",
      "Line 11176: JENNEFER\n",
      "Line 11177: JANETH\n",
      "Line 11178: HALINA\n",
      "Line 11179: FREDIA\n",
      "Line 11180: DELISA\n",
      "Line 11181: DEBROAH\n",
      "Line 11182: CIERA\n",
      "Line 11183: CHIN\n",
      "Line 11184: ANGELIKA\n",
      "Line 11185: ANDREE\n",
      "Line 11186: ALTHA\n",
      "Line 11187: YEN\n",
      "Line 11188: VIVAN\n",
      "Line 11189: TERRESA\n",
      "Line 11190: TANNA\n",
      "Line 11191: SUK\n",
      "Line 11192: SUDIE\n",
      "Line 11193: SOO\n",
      "Line 11194: SIGNE\n",
      "Line 11195: SALENA\n",
      "Line 11196: RONNI\n",
      "Line 11197: REBBECCA\n",
      "Line 11198: MYRTIE\n",
      "Line 11199: MCKENZIE\n",
      "Line 11200: MALIKA\n",
      "Line 11201: MAIDA\n",
      "Line 11202: LOAN\n",
      "Line 11203: LEONARDA\n",
      "Line 11204: KAYLEIGH\n",
      "Line 11205: FRANCE\n",
      "Line 11206: ETHYL\n",
      "Line 11207: ELLYN\n",
      "Line 11208: DAYLE\n",
      "Line 11209: CAMMIE\n",
      "Line 11210: BRITTNI\n",
      "Line 11211: BIRGIT\n",
      "Line 11212: AVELINA\n",
      "Line 11213: ASUNCION\n",
      "Line 11214: ARIANNA\n",
      "Line 11215: AKIKO\n",
      "Line 11216: VENICE\n",
      "Line 11217: TYESHA\n",
      "Line 11218: TONIE\n",
      "Line 11219: TIESHA\n",
      "Line 11220: TAKISHA\n",
      "Line 11221: STEFFANIE\n",
      "Line 11222: SINDY\n",
      "Line 11223: SANTANA\n",
      "Line 11224: MEGHANN\n",
      "Line 11225: MANDA\n",
      "Line 11226: MACIE\n",
      "Line 11227: LADY\n",
      "Line 11228: KELLYE\n",
      "Line 11229: KELLEE\n",
      "Line 11230: JOSLYN\n",
      "Line 11231: JASON\n",
      "Line 11232: INGER\n",
      "Line 11233: INDIRA\n",
      "Line 11234: GLINDA\n",
      "Line 11235: GLENNIS\n",
      "Line 11236: FERNANDA\n",
      "Line 11237: FAUSTINA\n",
      "Line 11238: ENEIDA\n",
      "Line 11239: ELICIA\n",
      "Line 11240: DOT\n",
      "Line 11241: DIGNA\n",
      "Line 11242: DELL\n",
      "Line 11243: ARLETTA\n",
      "Line 11244: ANDRE\n",
      "Line 11245: WILLIA\n",
      "Line 11246: TAMMARA\n",
      "Line 11247: TABETHA\n",
      "Line 11248: SHERRELL\n",
      "Line 11249: SARI\n",
      "Line 11250: REFUGIO\n",
      "Line 11251: REBBECA\n",
      "Line 11252: PAULETTA\n",
      "Line 11253: NIEVES\n",
      "Line 11254: NATOSHA\n",
      "Line 11255: NAKITA\n",
      "Line 11256: MAMMIE\n",
      "Line 11257: KENISHA\n",
      "Line 11258: KAZUKO\n",
      "Line 11259: KASSIE\n",
      "Line 11260: GARY\n",
      "Line 11261: EARLEAN\n",
      "Line 11262: DAPHINE\n",
      "Line 11263: CORLISS\n",
      "Line 11264: CLOTILDE\n",
      "Line 11265: CAROLYNE\n",
      "Line 11266: BERNETTA\n",
      "Line 11267: AUGUSTINA\n",
      "Line 11268: AUDREA\n",
      "Line 11269: ANNIS\n",
      "Line 11270: ANNABELL\n",
      "Line 11271: YAN\n",
      "Line 11272: TENNILLE\n",
      "Line 11273: TAMICA\n",
      "Line 11274: SELENE\n",
      "Line 11275: SEAN\n",
      "Line 11276: ROSANA\n",
      "Line 11277: REGENIA\n",
      "Line 11278: QIANA\n",
      "Line 11279: MARKITA\n",
      "Line 11280: MACY\n",
      "Line 11281: LEEANNE\n",
      "Line 11282: LAURINE\n",
      "Line 11283: KYM\n",
      "Line 11284: JESSENIA\n",
      "Line 11285: JANITA\n",
      "Line 11286: GEORGINE\n",
      "Line 11287: GENIE\n",
      "Line 11288: EMIKO\n",
      "Line 11289: ELVIE\n",
      "Line 11290: DEANDRA\n",
      "Line 11291: DAGMAR\n",
      "Line 11292: CORIE\n",
      "Line 11293: COLLEN\n",
      "Line 11294: CHERISH\n",
      "Line 11295: ROMAINE\n",
      "Line 11296: PORSHA\n",
      "Line 11297: PEARLENE\n",
      "Line 11298: MICHELINE\n",
      "Line 11299: MERNA\n",
      "Line 11300: MARGORIE\n",
      "Line 11301: MARGARETTA\n",
      "Line 11302: LORE\n",
      "Line 11303: KENNETH\n",
      "Line 11304: JENINE\n",
      "Line 11305: HERMINA\n",
      "Line 11306: FREDERICKA\n",
      "Line 11307: ELKE\n",
      "Line 11308: DRUSILLA\n",
      "Line 11309: DORATHY\n",
      "Line 11310: DIONE\n",
      "Line 11311: DESIRE\n",
      "Line 11312: CELENA\n",
      "Line 11313: BRIGIDA\n",
      "Line 11314: ANGELES\n",
      "Line 11315: ALLEGRA\n",
      "Line 11316: THEO\n",
      "Line 11317: TAMEKIA\n",
      "Line 11318: SYNTHIA\n",
      "Line 11319: STEPHEN\n",
      "Line 11320: SOOK\n",
      "Line 11321: SLYVIA\n",
      "Line 11322: ROSANN\n",
      "Line 11323: REATHA\n",
      "Line 11324: RAYE\n",
      "Line 11325: MARQUETTA\n",
      "Line 11326: MARGART\n",
      "Line 11327: LING\n",
      "Line 11328: LAYLA\n",
      "Line 11329: KYMBERLY\n",
      "Line 11330: KIANA\n",
      "Line 11331: KAYLEEN\n",
      "Line 11332: KATLYN\n",
      "Line 11333: KARMEN\n",
      "Line 11334: JOELLA\n",
      "Line 11335: IRINA\n",
      "Line 11336: EMELDA\n",
      "Line 11337: ELENI\n",
      "Line 11338: DETRA\n",
      "Line 11339: CLEMMIE\n",
      "Line 11340: CHERYLL\n",
      "Line 11341: CHANTELL\n",
      "Line 11342: CATHEY\n",
      "Line 11343: ARNITA\n",
      "Line 11344: ARLA\n",
      "Line 11345: ANGLE\n",
      "Line 11346: ANGELIC\n",
      "Line 11347: ALYSE\n",
      "Line 11348: ZOFIA\n",
      "Line 11349: THOMASINE\n",
      "Line 11350: TENNIE\n",
      "Line 11351: SON\n",
      "Line 11352: SHERLY\n",
      "Line 11353: SHERLEY\n",
      "Line 11354: SHARYL\n",
      "Line 11355: REMEDIOS\n",
      "Line 11356: PETRINA\n",
      "Line 11357: NICKOLE\n",
      "Line 11358: MYUNG\n",
      "Line 11359: MYRLE\n",
      "Line 11360: MOZELLA\n",
      "Line 11361: LOUANNE\n",
      "Line 11362: LISHA\n",
      "Line 11363: LATIA\n",
      "Line 11364: LANE\n",
      "Line 11365: KRYSTA\n",
      "Line 11366: JULIENNE\n",
      "Line 11367: JOEL\n",
      "Line 11368: JEANENE\n",
      "Line 11369: JACQUALINE\n",
      "Line 11370: ISAURA\n",
      "Line 11371: GWENDA\n",
      "Line 11372: EARLEEN\n",
      "Line 11373: DONALD\n",
      "Line 11374: CLEOPATRA\n",
      "Line 11375: CARLIE\n",
      "Line 11376: AUDIE\n",
      "Line 11377: ANTONIETTA\n",
      "Line 11378: ALISE\n",
      "Line 11379: ALEX\n",
      "Line 11380: VERDELL\n",
      "Line 11381: VAL\n",
      "Line 11382: TYLER\n",
      "Line 11383: TOMOKO\n",
      "Line 11384: THAO\n",
      "Line 11385: TALISHA\n",
      "Line 11386: STEVEN\n",
      "Line 11387: SO\n",
      "Line 11388: SHEMIKA\n",
      "Line 11389: SHAUN\n",
      "Line 11390: SCARLET\n",
      "Line 11391: SAVANNA\n",
      "Line 11392: SANTINA\n",
      "Line 11393: ROSIA\n",
      "Line 11394: RAEANN\n",
      "Line 11395: ODILIA\n",
      "Line 11396: NANA\n",
      "Line 11397: MINNA\n",
      "Line 11398: MAGAN\n",
      "Line 11399: LYNELLE\n",
      "Line 11400: LE\n",
      "Line 11401: KARMA\n",
      "Line 11402: JOEANN\n",
      "Line 11403: IVANA\n",
      "Line 11404: INELL\n",
      "Line 11405: ILANA\n",
      "Line 11406: HYE\n",
      "Line 11407: HONEY\n",
      "Line 11408: HEE\n",
      "Line 11409: GUDRUN\n",
      "Line 11410: FRANK\n",
      "Line 11411: DREAMA\n",
      "Line 11412: CRISSY\n",
      "Line 11413: CHANTE\n",
      "Line 11414: CARMELINA\n",
      "Line 11415: ARVILLA\n",
      "Line 11416: ARTHUR\n",
      "Line 11417: ANNAMAE\n",
      "Line 11418: ALVERA\n",
      "Line 11419: ALEIDA\n",
      "Line 11420: AARON\n",
      "Line 11421: YEE\n",
      "Line 11422: YANIRA\n",
      "Line 11423: VANDA\n",
      "Line 11424: TIANNA\n",
      "Line 11425: TAM\n",
      "Line 11426: STEFANIA\n",
      "Line 11427: SHIRA\n",
      "Line 11428: PERRY\n",
      "Line 11429: NICOL\n",
      "Line 11430: NANCIE\n",
      "Line 11431: MONSERRATE\n",
      "Line 11432: MINH\n",
      "Line 11433: MELYNDA\n",
      "Line 11434: MELANY\n",
      "Line 11435: MATTHEW\n",
      "Line 11436: LOVELLA\n",
      "Line 11437: LAURE\n",
      "Line 11438: KIRBY\n",
      "Line 11439: KACY\n",
      "Line 11440: JACQUELYNN\n",
      "Line 11441: HYON\n",
      "Line 11442: GERTHA\n",
      "Line 11443: FRANCISCO\n",
      "Line 11444: ELIANA\n",
      "Line 11445: CHRISTENA\n",
      "Line 11446: CHRISTEEN\n",
      "Line 11447: CHARISE\n",
      "Line 11448: CATERINA\n",
      "Line 11449: CARLEY\n",
      "Line 11450: CANDYCE\n",
      "Line 11451: ARLENA\n",
      "Line 11452: AMMIE\n",
      "Line 11453: YANG\n",
      "Line 11454: WILLETTE\n",
      "Line 11455: VANITA\n",
      "Line 11456: TUYET\n",
      "Line 11457: TINY\n",
      "Line 11458: SYREETA\n",
      "Line 11459: SILVA\n",
      "Line 11460: SCOTT\n",
      "Line 11461: RONALD\n",
      "Line 11462: PENNEY\n",
      "Line 11463: NYLA\n",
      "Line 11464: MICHAL\n",
      "Line 11465: MAURICE\n",
      "Line 11466: MARYAM\n",
      "Line 11467: MARYA\n",
      "Line 11468: MAGEN\n",
      "Line 11469: LUDIE\n",
      "Line 11470: LOMA\n",
      "Line 11471: LIVIA\n",
      "Line 11472: LANELL\n",
      "Line 11473: KIMBERLIE\n",
      "Line 11474: JULEE\n",
      "Line 11475: DONETTA\n",
      "Line 11476: DIEDRA\n",
      "Line 11477: DENISHA\n",
      "Line 11478: DEANE\n",
      "Line 11479: DAWNE\n",
      "Line 11480: CLARINE\n",
      "Line 11481: CHERRYL\n",
      "Line 11482: BRONWYN\n",
      "Line 11483: BRANDON\n",
      "Line 11484: ALLA\n",
      "Line 11485: VALERY\n",
      "Line 11486: TONDA\n",
      "Line 11487: SUEANN\n",
      "Line 11488: SORAYA\n",
      "Line 11489: SHOSHANA\n",
      "Line 11490: SHELA\n",
      "Line 11491: SHARLEEN\n",
      "Line 11492: SHANELLE\n",
      "Line 11493: NERISSA\n",
      "Line 11494: MICHEAL\n",
      "Line 11495: MERIDITH\n",
      "Line 11496: MELLIE\n",
      "Line 11497: MAYE\n",
      "Line 11498: MAPLE\n",
      "Line 11499: MAGARET\n",
      "Line 11500: LUIS\n",
      "Line 11501: LILI\n",
      "Line 11502: LEONILA\n",
      "Line 11503: LEONIE\n",
      "Line 11504: LEEANNA\n",
      "Line 11505: LAVONIA\n",
      "Line 11506: LAVERA\n",
      "Line 11507: KRISTEL\n",
      "Line 11508: KATHEY\n",
      "Line 11509: KATHE\n",
      "Line 11510: JUSTIN\n",
      "Line 11511: JULIAN\n",
      "Line 11512: JIMMY\n",
      "Line 11513: JANN\n",
      "Line 11514: ILDA\n",
      "Line 11515: HILDRED\n",
      "Line 11516: HILDEGARDE\n",
      "Line 11517: GENIA\n",
      "Line 11518: FUMIKO\n",
      "Line 11519: EVELIN\n",
      "Line 11520: ERMELINDA\n",
      "Line 11521: ELLY\n",
      "Line 11522: DUNG\n",
      "Line 11523: DOLORIS\n",
      "Line 11524: DIONNA\n",
      "Line 11525: DANAE\n",
      "Line 11526: BERNEICE\n",
      "Line 11527: ANNICE\n",
      "Line 11528: ALIX\n",
      "Line 11529: VERENA\n",
      "Line 11530: VERDIE\n",
      "Line 11531: TRISTAN\n",
      "Line 11532: SHAWNNA\n",
      "Line 11533: SHAWANA\n",
      "Line 11534: SHAUNNA\n",
      "Line 11535: ROZELLA\n",
      "Line 11536: RANDEE\n",
      "Line 11537: RANAE\n",
      "Line 11538: MILAGRO\n",
      "Line 11539: LYNELL\n",
      "Line 11540: LUISE\n",
      "Line 11541: LOUIE\n",
      "Line 11542: LOIDA\n",
      "Line 11543: LISBETH\n",
      "Line 11544: KARLEEN\n",
      "Line 11545: JUNITA\n",
      "Line 11546: JONA\n",
      "Line 11547: ISIS\n",
      "Line 11548: HYACINTH\n",
      "Line 11549: HEDY\n",
      "Line 11550: GWENN\n",
      "Line 11551: ETHELENE\n",
      "Line 11552: ERLINE\n",
      "Line 11553: EDWARD\n",
      "Line 11554: DONYA\n",
      "Line 11555: DOMONIQUE\n",
      "Line 11556: DELICIA\n",
      "Line 11557: DANNETTE\n",
      "Line 11558: CICELY\n",
      "Line 11559: BRANDA\n",
      "Line 11560: BLYTHE\n",
      "Line 11561: BETHANN\n",
      "Line 11562: ASHLYN\n",
      "Line 11563: ANNALEE\n",
      "Line 11564: ALLINE\n",
      "Line 11565: YUKO\n",
      "Line 11566: VELLA\n",
      "Line 11567: TRANG\n",
      "Line 11568: TOWANDA\n",
      "Line 11569: TESHA\n",
      "Line 11570: SHERLYN\n",
      "Line 11571: NARCISA\n",
      "Line 11572: MIGUELINA\n",
      "Line 11573: MERI\n",
      "Line 11574: MAYBELL\n",
      "Line 11575: MARLANA\n",
      "Line 11576: MARGUERITA\n",
      "Line 11577: MADLYN\n",
      "Line 11578: LUNA\n",
      "Line 11579: LORY\n",
      "Line 11580: LORIANN\n",
      "Line 11581: LIBERTY\n",
      "Line 11582: LEONORE\n",
      "Line 11583: LEIGHANN\n",
      "Line 11584: LAURICE\n",
      "Line 11585: LATESHA\n",
      "Line 11586: LARONDA\n",
      "Line 11587: KATRICE\n",
      "Line 11588: KASIE\n",
      "Line 11589: KARL\n",
      "Line 11590: KALEY\n",
      "Line 11591: JADWIGA\n",
      "Line 11592: GLENNIE\n",
      "Line 11593: GEARLDINE\n",
      "Line 11594: FRANCINA\n",
      "Line 11595: EPIFANIA\n",
      "Line 11596: DYAN\n",
      "Line 11597: DORIE\n",
      "Line 11598: DIEDRE\n",
      "Line 11599: DENESE\n",
      "Line 11600: DEMETRICE\n",
      "Line 11601: DELENA\n",
      "Line 11602: DARBY\n",
      "Line 11603: CRISTIE\n",
      "Line 11604: CLEORA\n",
      "Line 11605: CATARINA\n",
      "Line 11606: CARISA\n",
      "Line 11607: BERNIE\n",
      "Line 11608: BARBERA\n",
      "Line 11609: ALMETA\n",
      "Line 11610: TRULA\n",
      "Line 11611: TEREASA\n",
      "Line 11612: SOLANGE\n",
      "Line 11613: SHEILAH\n",
      "Line 11614: SHAVONNE\n",
      "Line 11615: SANORA\n",
      "Line 11616: ROCHELL\n",
      "Line 11617: MATHILDE\n",
      "Line 11618: MARGARETA\n",
      "Line 11619: MAIA\n",
      "Line 11620: LYNSEY\n",
      "Line 11621: LAWANNA\n",
      "Line 11622: LAUNA\n",
      "Line 11623: KENA\n",
      "Line 11624: KEENA\n",
      "Line 11625: KATIA\n",
      "Line 11626: JAMEY\n",
      "Line 11627: GLYNDA\n",
      "Line 11628: GAYLENE\n",
      "Line 11629: ELVINA\n",
      "Line 11630: ELANOR\n",
      "Line 11631: DANUTA\n",
      "Line 11632: DANIKA\n",
      "Line 11633: CRISTEN\n",
      "Line 11634: CORDIE\n",
      "Line 11635: COLETTA\n",
      "Line 11636: CLARITA\n",
      "Line 11637: CARMON\n",
      "Line 11638: BRYNN\n",
      "Line 11639: AZUCENA\n",
      "Line 11640: AUNDREA\n",
      "Line 11641: ANGELE\n",
      "Line 11642: YI\n",
      "Line 11643: WALTER\n",
      "Line 11644: VERLIE\n",
      "Line 11645: VERLENE\n",
      "Line 11646: TAMESHA\n",
      "Line 11647: SILVANA\n",
      "Line 11648: SEBRINA\n",
      "Line 11649: SAMIRA\n",
      "Line 11650: REDA\n",
      "Line 11651: RAYLENE\n",
      "Line 11652: PENNI\n",
      "Line 11653: PANDORA\n",
      "Line 11654: NORAH\n",
      "Line 11655: NOMA\n",
      "Line 11656: MIREILLE\n",
      "Line 11657: MELISSIA\n",
      "Line 11658: MARYALICE\n",
      "Line 11659: LARAINE\n",
      "Line 11660: KIMBERY\n",
      "Line 11661: KARYL\n",
      "Line 11662: KARINE\n",
      "Line 11663: KAM\n",
      "Line 11664: JOLANDA\n",
      "Line 11665: JOHANA\n",
      "Line 11666: JESUSA\n",
      "Line 11667: JALEESA\n",
      "Line 11668: JAE\n",
      "Line 11669: JACQUELYNE\n",
      "Line 11670: IRISH\n",
      "Line 11671: ILUMINADA\n",
      "Line 11672: HILARIA\n",
      "Line 11673: HANH\n",
      "Line 11674: GENNIE\n",
      "Line 11675: FRANCIE\n",
      "Line 11676: FLORETTA\n",
      "Line 11677: EXIE\n",
      "Line 11678: EDDA\n",
      "Line 11679: DREMA\n",
      "Line 11680: DELPHA\n",
      "Line 11681: BEV\n",
      "Line 11682: BARBAR\n",
      "Line 11683: ASSUNTA\n",
      "Line 11684: ARDELL\n",
      "Line 11685: ANNALISA\n",
      "Line 11686: ALISIA\n",
      "Line 11687: YUKIKO\n",
      "Line 11688: YOLANDO\n",
      "Line 11689: WONDA\n",
      "Line 11690: WEI\n",
      "Line 11691: WALTRAUD\n",
      "Line 11692: VETA\n",
      "Line 11693: TEQUILA\n",
      "Line 11694: TEMEKA\n",
      "Line 11695: TAMEIKA\n",
      "Line 11696: SHIRLEEN\n",
      "Line 11697: SHENITA\n",
      "Line 11698: PIEDAD\n",
      "Line 11699: OZELLA\n",
      "Line 11700: MIRTHA\n",
      "Line 11701: MARILU\n",
      "Line 11702: KIMIKO\n",
      "Line 11703: JULIANE\n",
      "Line 11704: JENICE\n",
      "Line 11705: JEN\n",
      "Line 11706: JANAY\n",
      "Line 11707: JACQUILINE\n",
      "Line 11708: HILDE\n",
      "Line 11709: FE\n",
      "Line 11710: FAE\n",
      "Line 11711: EVAN\n",
      "Line 11712: EUGENE\n",
      "Line 11713: ELOIS\n",
      "Line 11714: ECHO\n",
      "Line 11715: DEVORAH\n",
      "Line 11716: CHAU\n",
      "Line 11717: BRINDA\n",
      "Line 11718: BETSEY\n",
      "Line 11719: ARMINDA\n",
      "Line 11720: ARACELIS\n",
      "Line 11721: APRYL\n",
      "Line 11722: ANNETT\n",
      "Line 11723: ALISHIA\n",
      "Line 11724: VEOLA\n",
      "Line 11725: USHA\n",
      "Line 11726: TOSHIKO\n",
      "Line 11727: THEOLA\n",
      "Line 11728: TASHIA\n",
      "Line 11729: TALITHA\n",
      "Line 11730: SHERY\n",
      "Line 11731: RUDY\n",
      "Line 11732: RENETTA\n",
      "Line 11733: REIKO\n",
      "Line 11734: RASHEEDA\n",
      "Line 11735: OMEGA\n",
      "Line 11736: OBDULIA\n",
      "Line 11737: MIKA\n",
      "Line 11738: MELAINE\n",
      "Line 11739: MEGGAN\n",
      "Line 11740: MARTIN\n",
      "Line 11741: MARLEN\n",
      "Line 11742: MARGET\n",
      "Line 11743: MARCELINE\n",
      "Line 11744: MANA\n",
      "Line 11745: MAGDALEN\n",
      "Line 11746: LIBRADA\n",
      "Line 11747: LEZLIE\n",
      "Line 11748: LEXIE\n",
      "Line 11749: LATASHIA\n",
      "Line 11750: LASANDRA\n",
      "Line 11751: KELLE\n",
      "Line 11752: ISIDRA\n",
      "Line 11753: ISA\n",
      "Line 11754: INOCENCIA\n",
      "Line 11755: GWYN\n",
      "Line 11756: FRANCOISE\n",
      "Line 11757: ERMINIA\n",
      "Line 11758: ERINN\n",
      "Line 11759: DIMPLE\n",
      "Line 11760: DEVORA\n",
      "Line 11761: CRISELDA\n",
      "Line 11762: ARMANDA\n",
      "Line 11763: ARIE\n",
      "Line 11764: ARIANE\n",
      "Line 11765: ANGELO\n",
      "Line 11766: ANGELENA\n",
      "Line 11767: ALLEN\n",
      "Line 11768: ALIZA\n",
      "Line 11769: ADRIENE\n",
      "Line 11770: ADALINE\n",
      "Line 11771: XOCHITL\n",
      "Line 11772: TWANNA\n",
      "Line 11773: TRAN\n",
      "Line 11774: TOMIKO\n",
      "Line 11775: TAMISHA\n",
      "Line 11776: TAISHA\n",
      "Line 11777: SUSY\n",
      "Line 11778: SIU\n",
      "Line 11779: RUTHA\n",
      "Line 11780: ROXY\n",
      "Line 11781: RHONA\n",
      "Line 11782: RAYMOND\n",
      "Line 11783: OTHA\n",
      "Line 11784: NORIKO\n",
      "Line 11785: NATASHIA\n",
      "Line 11786: MERRIE\n",
      "Line 11787: MELVIN\n",
      "Line 11788: MARINDA\n",
      "Line 11789: MARIKO\n",
      "Line 11790: MARGERT\n",
      "Line 11791: LORIS\n",
      "Line 11792: LIZZETTE\n",
      "Line 11793: LEISHA\n",
      "Line 11794: KAILA\n",
      "Line 11795: KA\n",
      "Line 11796: JOANNIE\n",
      "Line 11797: JERRICA\n",
      "Line 11798: JENE\n",
      "Line 11799: JANNET\n",
      "Line 11800: JANEE\n",
      "Line 11801: JACINDA\n",
      "Line 11802: HERTA\n",
      "Line 11803: ELENORE\n",
      "Line 11804: DORETTA\n",
      "Line 11805: DELAINE\n",
      "Line 11806: DANIELL\n",
      "Line 11807: CLAUDIE\n",
      "Line 11808: CHINA\n",
      "Line 11809: BRITTA\n",
      "Line 11810: APOLONIA\n",
      "Line 11811: AMBERLY\n",
      "Line 11812: ALEASE\n",
      "Line 11813: YURI\n",
      "Line 11814: YUK\n",
      "Line 11815: WEN\n",
      "Line 11816: WANETA\n",
      "Line 11817: UTE\n",
      "Line 11818: TOMI\n",
      "Line 11819: SHARRI\n",
      "Line 11820: SANDIE\n",
      "Line 11821: ROSELLE\n",
      "Line 11822: REYNALDA\n",
      "Line 11823: RAGUEL\n",
      "Line 11824: PHYLICIA\n",
      "Line 11825: PATRIA\n",
      "Line 11826: OLIMPIA\n",
      "Line 11827: ODELIA\n",
      "Line 11828: MITZIE\n",
      "Line 11829: MITCHELL\n",
      "Line 11830: MISS\n",
      "Line 11831: MINDA\n",
      "Line 11832: MIGNON\n",
      "Line 11833: MICA\n",
      "Line 11834: MENDY\n",
      "Line 11835: MARIVEL\n",
      "Line 11836: MAILE\n",
      "Line 11837: LYNETTA\n",
      "Line 11838: LAVETTE\n",
      "Line 11839: LAURYN\n",
      "Line 11840: LATRISHA\n",
      "Line 11841: LAKIESHA\n",
      "Line 11842: KIERSTEN\n",
      "Line 11843: KARY\n",
      "Line 11844: JOSPHINE\n",
      "Line 11845: JOLYN\n",
      "Line 11846: JETTA\n",
      "Line 11847: JANISE\n",
      "Line 11848: JACQUIE\n",
      "Line 11849: IVELISSE\n",
      "Line 11850: GLYNIS\n",
      "Line 11851: GIANNA\n",
      "Line 11852: GAYNELLE\n",
      "Line 11853: EMERALD\n",
      "Line 11854: DEMETRIUS\n",
      "Line 11855: DANYELL\n",
      "Line 11856: DANILLE\n",
      "Line 11857: DACIA\n",
      "Line 11858: CORALEE\n",
      "Line 11859: CHER\n",
      "Line 11860: CEOLA\n",
      "Line 11861: BRETT\n",
      "Line 11862: BELL\n",
      "Line 11863: ARIANNE\n",
      "Line 11864: ALESHIA\n",
      "Line 11865: YUNG\n",
      "Line 11866: WILLIEMAE\n",
      "Line 11867: TROY\n",
      "Line 11868: TRINH\n",
      "Line 11869: THORA\n",
      "Line 11870: TAI\n",
      "Line 11871: SVETLANA\n",
      "Line 11872: SHERIKA\n",
      "Line 11873: SHEMEKA\n",
      "Line 11874: SHAUNDA\n",
      "Line 11875: ROSELINE\n",
      "Line 11876: RICKI\n",
      "Line 11877: MELDA\n",
      "Line 11878: MALLIE\n",
      "Line 11879: LAVONNA\n",
      "Line 11880: LATINA\n",
      "Line 11881: LARRY\n",
      "Line 11882: LAQUANDA\n",
      "Line 11883: LALA\n",
      "Line 11884: LACHELLE\n",
      "Line 11885: KLARA\n",
      "Line 11886: KANDIS\n",
      "Line 11887: JOHNA\n",
      "Line 11888: JEANMARIE\n",
      "Line 11889: JAYE\n",
      "Line 11890: HANG\n",
      "Line 11891: GRAYCE\n",
      "Line 11892: GERTUDE\n",
      "Line 11893: EMERITA\n",
      "Line 11894: EBONIE\n",
      "Line 11895: CLORINDA\n",
      "Line 11896: CHING\n",
      "Line 11897: CHERY\n",
      "Line 11898: CAROLA\n",
      "Line 11899: BREANN\n",
      "Line 11900: BLOSSOM\n",
      "Line 11901: BERNARDINE\n",
      "Line 11902: BECKI\n",
      "Line 11903: ARLETHA\n",
      "Line 11904: ARGELIA\n",
      "Line 11905: ARA\n",
      "Line 11906: ALITA\n",
      "Line 11907: YULANDA\n",
      "Line 11908: YON\n",
      "Line 11909: YESSENIA\n",
      "Line 11910: TOBI\n",
      "Line 11911: TASIA\n",
      "Line 11912: SYLVIE\n",
      "Line 11913: SHIRL\n",
      "Line 11914: SHIRELY\n",
      "Line 11915: SHERIDAN\n",
      "Line 11916: SHELLA\n",
      "Line 11917: SHANTELLE\n",
      "Line 11918: SACHA\n",
      "Line 11919: ROYCE\n",
      "Line 11920: REBECKA\n",
      "Line 11921: REAGAN\n",
      "Line 11922: PROVIDENCIA\n",
      "Line 11923: PAULENE\n",
      "Line 11924: MISHA\n",
      "Line 11925: MIKI\n",
      "Line 11926: MARLINE\n",
      "Line 11927: MARICA\n",
      "Line 11928: LORITA\n",
      "Line 11929: LATOYIA\n",
      "Line 11930: LASONYA\n",
      "Line 11931: KERSTIN\n",
      "Line 11932: KENDA\n",
      "Line 11933: KEITHA\n",
      "Line 11934: KATHRIN\n",
      "Line 11935: JAYMIE\n",
      "Line 11936: JACK\n",
      "Line 11937: GRICELDA\n",
      "Line 11938: GINETTE\n",
      "Line 11939: ERYN\n",
      "Line 11940: ELINA\n",
      "Line 11941: ELFRIEDA\n",
      "Line 11942: DANYEL\n",
      "Line 11943: CHEREE\n",
      "Line 11944: CHANELLE\n",
      "Line 11945: BARRIE\n",
      "Line 11946: AVERY\n",
      "Line 11947: AURORE\n",
      "Line 11948: ANNAMARIA\n",
      "Line 11949: ALLEEN\n",
      "Line 11950: AILENE\n",
      "Line 11951: AIDE\n",
      "Line 11952: YASMINE\n",
      "Line 11953: VASHTI\n",
      "Line 11954: VALENTINE\n",
      "Line 11955: TREASA\n",
      "Line 11956: TORY\n",
      "Line 11957: TIFFANEY\n",
      "Line 11958: SHERYLL\n",
      "Line 11959: SHARIE\n",
      "Line 11960: SHANAE\n",
      "Line 11961: SAU\n",
      "Line 11962: RAISA\n",
      "Line 11963: PA\n",
      "Line 11964: NEDA\n",
      "Line 11965: MITSUKO\n",
      "Line 11966: MIRELLA\n",
      "Line 11967: MILDA\n",
      "Line 11968: MARYANNA\n",
      "Line 11969: MARAGRET\n",
      "Line 11970: MABELLE\n",
      "Line 11971: LUETTA\n",
      "Line 11972: LORINA\n",
      "Line 11973: LETISHA\n",
      "Line 11974: LATARSHA\n",
      "Line 11975: LANELLE\n",
      "Line 11976: LAJUANA\n",
      "Line 11977: KRISSY\n",
      "Line 11978: KARLY\n",
      "Line 11979: KARENA\n",
      "Line 11980: JON\n",
      "Line 11981: JESSIKA\n",
      "Line 11982: JERICA\n",
      "Line 11983: JEANELLE\n",
      "Line 11984: JANUARY\n",
      "Line 11985: JALISA\n",
      "Line 11986: JACELYN\n",
      "Line 11987: IZOLA\n",
      "Line 11988: IVEY\n",
      "Line 11989: GREGORY\n",
      "Line 11990: EUNA\n",
      "Line 11991: ETHA\n",
      "Line 11992: DREW\n",
      "Line 11993: DOMITILA\n",
      "Line 11994: DOMINICA\n",
      "Line 11995: DAINA\n",
      "Line 11996: CREOLA\n",
      "Line 11997: CARLI\n",
      "Line 11998: CAMIE\n",
      "Line 11999: BUNNY\n",
      "Line 12000: BRITTNY\n",
      "Line 12001: ASHANTI\n",
      "Line 12002: ANISHA\n",
      "Line 12003: ALEEN\n",
      "Line 12004: ADAH\n",
      "Line 12005: YASUKO\n",
      "Line 12006: WINTER\n",
      "Line 12007: VIKI\n",
      "Line 12008: VALRIE\n",
      "Line 12009: TONA\n",
      "Line 12010: TINISHA\n",
      "Line 12011: THI\n",
      "Line 12012: TERISA\n",
      "Line 12013: TATUM\n",
      "Line 12014: TANEKA\n",
      "Line 12015: SIMONNE\n",
      "Line 12016: SHALANDA\n",
      "Line 12017: SERITA\n",
      "Line 12018: RESSIE\n",
      "Line 12019: REFUGIA\n",
      "Line 12020: PAZ\n",
      "Line 12021: OLENE\n",
      "Line 12022: NA\n",
      "Line 12023: MERRILL\n",
      "Line 12024: MARGHERITA\n",
      "Line 12025: MANDIE\n",
      "Line 12026: MAN\n",
      "Line 12027: MAIRE\n",
      "Line 12028: LYNDIA\n",
      "Line 12029: LUCI\n",
      "Line 12030: LORRIANE\n",
      "Line 12031: LORETA\n",
      "Line 12032: LEONIA\n",
      "Line 12033: LAVONA\n",
      "Line 12034: LASHAWNDA\n",
      "Line 12035: LAKIA\n",
      "Line 12036: KYOKO\n",
      "Line 12037: KRYSTINA\n",
      "Line 12038: KRYSTEN\n",
      "Line 12039: KENIA\n",
      "Line 12040: KELSI\n",
      "Line 12041: JUDE\n",
      "Line 12042: JEANICE\n",
      "Line 12043: ISOBEL\n",
      "Line 12044: GEORGIANN\n",
      "Line 12045: GENNY\n",
      "Line 12046: FELICIDAD\n",
      "Line 12047: EILENE\n",
      "Line 12048: DEON\n",
      "Line 12049: DELOISE\n",
      "Line 12050: DEEDEE\n",
      "Line 12051: DANNIE\n",
      "Line 12052: CONCEPTION\n",
      "Line 12053: CLORA\n",
      "Line 12054: CHERILYN\n",
      "Line 12055: CHANG\n",
      "Line 12056: CALANDRA\n",
      "Line 12057: BERRY\n",
      "Line 12058: ARMANDINA\n",
      "Line 12059: ANISA\n",
      "Line 12060: ULA\n",
      "Line 12061: TIMOTHY\n",
      "Line 12062: TIERA\n",
      "Line 12063: THERESSA\n",
      "Line 12064: STEPHANIA\n",
      "Line 12065: SIMA\n",
      "Line 12066: SHYLA\n",
      "Line 12067: SHONTA\n",
      "Line 12068: SHERA\n",
      "Line 12069: SHAQUITA\n",
      "Line 12070: SHALA\n",
      "Line 12071: SAMMY\n",
      "Line 12072: ROSSANA\n",
      "Line 12073: NOHEMI\n",
      "Line 12074: NERY\n",
      "Line 12075: MORIAH\n",
      "Line 12076: MELITA\n",
      "Line 12077: MELIDA\n",
      "Line 12078: MELANI\n",
      "Line 12079: MARYLYNN\n",
      "Line 12080: MARISHA\n",
      "Line 12081: MARIETTE\n",
      "Line 12082: MALORIE\n",
      "Line 12083: MADELENE\n",
      "Line 12084: LUDIVINA\n",
      "Line 12085: LORIA\n",
      "Line 12086: LORETTE\n",
      "Line 12087: LORALEE\n",
      "Line 12088: LIANNE\n",
      "Line 12089: LEON\n",
      "Line 12090: LAVENIA\n",
      "Line 12091: LAURINDA\n",
      "Line 12092: LASHON\n",
      "Line 12093: KIT\n",
      "Line 12094: KIMI\n",
      "Line 12095: KEILA\n",
      "Line 12096: KATELYNN\n",
      "Line 12097: KAI\n",
      "Line 12098: JONE\n",
      "Line 12099: JOANE\n",
      "Line 12100: JI\n",
      "Line 12101: JAYNA\n",
      "Line 12102: JANELLA\n",
      "Line 12103: JA\n",
      "Line 12104: HUE\n",
      "Line 12105: HERTHA\n",
      "Line 12106: FRANCENE\n",
      "Line 12107: ELINORE\n",
      "Line 12108: DESPINA\n",
      "Line 12109: DELSIE\n",
      "Line 12110: DEEDRA\n",
      "Line 12111: CLEMENCIA\n",
      "Line 12112: CARRY\n",
      "Line 12113: CAROLIN\n",
      "Line 12114: CARLOS\n",
      "Line 12115: BULAH\n",
      "Line 12116: BRITTANIE\n",
      "Line 12117: BOK\n",
      "Line 12118: BLONDELL\n",
      "Line 12119: BIBI\n",
      "Line 12120: BEAULAH\n",
      "Line 12121: BEATA\n",
      "Line 12122: ANNITA\n",
      "Line 12123: AGRIPINA\n",
      "Line 12124: VIRGEN\n",
      "Line 12125: VALENE\n",
      "Line 12126: UN\n",
      "Line 12127: TWANDA\n",
      "Line 12128: TOMMYE\n",
      "Line 12129: TOI\n",
      "Line 12130: TARRA\n",
      "Line 12131: TARI\n",
      "Line 12132: TAMMERA\n",
      "Line 12133: SHAKIA\n",
      "Line 12134: SADYE\n",
      "Line 12135: RUTHANNE\n",
      "Line 12136: ROCHEL\n",
      "Line 12137: RIVKA\n",
      "Line 12138: PURA\n",
      "Line 12139: NENITA\n",
      "Line 12140: NATISHA\n",
      "Line 12141: MING\n",
      "Line 12142: MERRILEE\n",
      "Line 12143: MELODEE\n",
      "Line 12144: MARVIS\n",
      "Line 12145: LUCILLA\n",
      "Line 12146: LEENA\n",
      "Line 12147: LAVETA\n",
      "Line 12148: LARITA\n",
      "Line 12149: LANIE\n",
      "Line 12150: KEREN\n",
      "Line 12151: ILEEN\n",
      "Line 12152: GEORGEANN\n",
      "Line 12153: GENNA\n",
      "Line 12154: GENESIS\n",
      "Line 12155: FRIDA\n",
      "Line 12156: EWA\n",
      "Line 12157: EUFEMIA\n",
      "Line 12158: EMELY\n",
      "Line 12159: ELA\n",
      "Line 12160: EDYTH\n",
      "Line 12161: DEONNA\n",
      "Line 12162: DEADRA\n",
      "Line 12163: DARLENA\n",
      "Line 12164: CHANELL\n",
      "Line 12165: CHAN\n",
      "Line 12166: CATHERN\n",
      "Line 12167: CASSONDRA\n",
      "Line 12168: CASSAUNDRA\n",
      "Line 12169: BERNARDA\n",
      "Line 12170: BERNA\n",
      "Line 12171: ARLINDA\n",
      "Line 12172: ANAMARIA\n",
      "Line 12173: ALBERT\n",
      "Line 12174: WESLEY\n",
      "Line 12175: VERTIE\n",
      "Line 12176: VALERI\n",
      "Line 12177: TORRI\n",
      "Line 12178: TATYANA\n",
      "Line 12179: STASIA\n",
      "Line 12180: SHERISE\n",
      "Line 12181: SHERILL\n",
      "Line 12182: SEASON\n",
      "Line 12183: SCOTTIE\n",
      "Line 12184: SANDA\n",
      "Line 12185: RUTHE\n",
      "Line 12186: ROSY\n",
      "Line 12187: ROBERTO\n",
      "Line 12188: ROBBI\n",
      "Line 12189: RANEE\n",
      "Line 12190: QUYEN\n",
      "Line 12191: PEARLY\n",
      "Line 12192: PALMIRA\n",
      "Line 12193: ONITA\n",
      "Line 12194: NISHA\n",
      "Line 12195: NIESHA\n",
      "Line 12196: NIDA\n",
      "Line 12197: NEVADA\n",
      "Line 12198: NAM\n",
      "Line 12199: MERLYN\n",
      "Line 12200: MAYOLA\n",
      "Line 12201: MARYLOUISE\n",
      "Line 12202: MARYLAND\n",
      "Line 12203: MARX\n",
      "Line 12204: MARTH\n",
      "Line 12205: MARGENE\n",
      "Line 12206: MADELAINE\n",
      "Line 12207: LONDA\n",
      "Line 12208: LEONTINE\n",
      "Line 12209: LEOMA\n",
      "Line 12210: LEIA\n",
      "Line 12211: LAWRENCE\n",
      "Line 12212: LAURALEE\n",
      "Line 12213: LANORA\n",
      "Line 12214: LAKITA\n",
      "Line 12215: KIYOKO\n",
      "Line 12216: KETURAH\n",
      "Line 12217: KATELIN\n",
      "Line 12218: KAREEN\n",
      "Line 12219: JONIE\n",
      "Line 12220: JOHNETTE\n",
      "Line 12221: JENEE\n",
      "Line 12222: JEANETT\n",
      "Line 12223: IZETTA\n",
      "Line 12224: HIEDI\n",
      "Line 12225: HEIKE\n",
      "Line 12226: HASSIE\n",
      "Line 12227: HAROLD\n",
      "Line 12228: GIUSEPPINA\n",
      "Line 12229: GEORGANN\n",
      "Line 12230: FIDELA\n",
      "Line 12231: FERNANDE\n",
      "Line 12232: ELWANDA\n",
      "Line 12233: ELLAMAE\n",
      "Line 12234: ELIZ\n",
      "Line 12235: DUSTI\n",
      "Line 12236: DOTTY\n",
      "Line 12237: CYNDY\n",
      "Line 12238: CORALIE\n",
      "Line 12239: CELESTA\n",
      "Line 12240: ARGENTINA\n",
      "Line 12241: ALVERTA\n",
      "Line 12242: XENIA\n",
      "Line 12243: WAVA\n",
      "Line 12244: VANETTA\n",
      "Line 12245: TORRIE\n",
      "Line 12246: TASHINA\n",
      "Line 12247: TANDY\n",
      "Line 12248: TAMBRA\n",
      "Line 12249: TAMA\n",
      "Line 12250: STEPANIE\n",
      "Line 12251: SHILA\n",
      "Line 12252: SHAUNTA\n",
      "Line 12253: SHARAN\n",
      "Line 12254: SHANIQUA\n",
      "Line 12255: SHAE\n",
      "Line 12256: SETSUKO\n",
      "Line 12257: SERAFINA\n",
      "Line 12258: SANDEE\n",
      "Line 12259: ROSAMARIA\n",
      "Line 12260: PRISCILA\n",
      "Line 12261: OLINDA\n",
      "Line 12262: NADENE\n",
      "Line 12263: MUOI\n",
      "Line 12264: MICHELINA\n",
      "Line 12265: MERCEDEZ\n",
      "Line 12266: MARYROSE\n",
      "Line 12267: MARIN\n",
      "Line 12268: MARCENE\n",
      "Line 12269: MAO\n",
      "Line 12270: MAGALI\n",
      "Line 12271: MAFALDA\n",
      "Line 12272: LOGAN\n",
      "Line 12273: LINN\n",
      "Line 12274: LANNIE\n",
      "Line 12275: KAYCE\n",
      "Line 12276: KAROLINE\n",
      "Line 12277: KAMILAH\n",
      "Line 12278: KAMALA\n",
      "Line 12279: JUSTA\n",
      "Line 12280: JOLINE\n",
      "Line 12281: JENNINE\n",
      "Line 12282: JACQUETTA\n",
      "Line 12283: IRAIDA\n",
      "Line 12284: GERALD\n",
      "Line 12285: GEORGEANNA\n",
      "Line 12286: FRANCHESCA\n",
      "Line 12287: FAIRY\n",
      "Line 12288: EMELINE\n",
      "Line 12289: ELANE\n",
      "Line 12290: EHTEL\n",
      "Line 12291: EARLIE\n",
      "Line 12292: DULCIE\n",
      "Line 12293: DALENE\n",
      "Line 12294: CRIS\n",
      "Line 12295: CLASSIE\n",
      "Line 12296: CHERE\n",
      "Line 12297: CHARIS\n",
      "Line 12298: CAROYLN\n",
      "Line 12299: CARMINA\n",
      "Line 12300: CARITA\n",
      "Line 12301: BRIAN\n",
      "Line 12302: BETHANIE\n",
      "Line 12303: AYAKO\n",
      "Line 12304: ARICA\n",
      "Line 12305: AN\n",
      "Line 12306: ALYSA\n",
      "Line 12307: ALESSANDRA\n",
      "Line 12308: AKILAH\n",
      "Line 12309: ADRIEN\n",
      "Line 12310: ZETTA\n",
      "Line 12311: YOULANDA\n",
      "Line 12312: YELENA\n",
      "Line 12313: YAHAIRA\n",
      "Line 12314: XUAN\n",
      "Line 12315: WENDOLYN\n",
      "Line 12316: VICTOR\n",
      "Line 12317: TIJUANA\n",
      "Line 12318: TERRELL\n",
      "Line 12319: TERINA\n",
      "Line 12320: TERESIA\n",
      "Line 12321: SUZI\n",
      "Line 12322: SUNDAY\n",
      "Line 12323: SHERELL\n",
      "Line 12324: SHAVONDA\n",
      "Line 12325: SHAUNTE\n",
      "Line 12326: SHARDA\n",
      "Line 12327: SHAKITA\n",
      "Line 12328: SENA\n",
      "Line 12329: RYANN\n",
      "Line 12330: RUBI\n",
      "Line 12331: RIVA\n",
      "Line 12332: REGINIA\n",
      "Line 12333: REA\n",
      "Line 12334: RACHAL\n",
      "Line 12335: PARTHENIA\n",
      "Line 12336: PAMULA\n",
      "Line 12337: MONNIE\n",
      "Line 12338: MONET\n",
      "Line 12339: MICHAELE\n",
      "Line 12340: MELIA\n",
      "Line 12341: MARINE\n",
      "Line 12342: MALKA\n",
      "Line 12343: MAISHA\n",
      "Line 12344: LISANDRA\n",
      "Line 12345: LEO\n",
      "Line 12346: LEKISHA\n",
      "Line 12347: LEAN\n",
      "Line 12348: LAURENCE\n",
      "Line 12349: LAKENDRA\n",
      "Line 12350: KRYSTIN\n",
      "Line 12351: KORTNEY\n",
      "Line 12352: KIZZIE\n",
      "Line 12353: KITTIE\n",
      "Line 12354: KERA\n",
      "Line 12355: KENDAL\n",
      "Line 12356: KEMBERLY\n",
      "Line 12357: KANISHA\n",
      "Line 12358: JULENE\n",
      "Line 12359: JULE\n",
      "Line 12360: JOSHUA\n",
      "Line 12361: JOHANNE\n",
      "Line 12362: JEFFREY\n",
      "Line 12363: JAMEE\n",
      "Line 12364: HAN\n",
      "Line 12365: HALLEY\n",
      "Line 12366: GIDGET\n",
      "Line 12367: GALINA\n",
      "Line 12368: FREDRICKA\n",
      "Line 12369: FLETA\n",
      "Line 12370: FATIMAH\n",
      "Line 12371: EUSEBIA\n",
      "Line 12372: ELZA\n",
      "Line 12373: ELEONORE\n",
      "Line 12374: DORTHEY\n",
      "Line 12375: DORIA\n",
      "Line 12376: DONELLA\n",
      "Line 12377: DINORAH\n",
      "Line 12378: DELORSE\n",
      "Line 12379: CLARETHA\n",
      "Line 12380: CHRISTINIA\n",
      "Line 12381: CHARLYN\n",
      "Line 12382: BONG\n",
      "Line 12383: BELKIS\n",
      "Line 12384: AZZIE\n",
      "Line 12385: ANDERA\n",
      "Line 12386: AIKO\n",
      "Line 12387: ADENA\n",
      "Line 12388: YER\n",
      "Line 12389: YAJAIRA\n",
      "Line 12390: WAN\n",
      "Line 12391: VANIA\n",
      "Line 12392: ULRIKE\n",
      "Line 12393: TOSHIA\n",
      "Line 12394: TIFANY\n",
      "Line 12395: STEFANY\n",
      "Line 12396: SHIZUE\n",
      "Line 12397: SHENIKA\n",
      "Line 12398: SHAWANNA\n",
      "Line 12399: SHAROLYN\n",
      "Line 12400: SHARILYN\n",
      "Line 12401: SHAQUANA\n",
      "Line 12402: SHANTAY\n",
      "Line 12403: SEE\n",
      "Line 12404: ROZANNE\n",
      "Line 12405: ROSELEE\n",
      "Line 12406: RICKIE\n",
      "Line 12407: REMONA\n",
      "Line 12408: REANNA\n",
      "Line 12409: RAELENE\n",
      "Line 12410: QUINN\n",
      "Line 12411: PHUNG\n",
      "Line 12412: PETRONILA\n",
      "Line 12413: NATACHA\n",
      "Line 12414: NANCEY\n",
      "Line 12415: MYRL\n",
      "Line 12416: MIYOKO\n",
      "Line 12417: MIESHA\n",
      "Line 12418: MERIDETH\n",
      "Line 12419: MARVELLA\n",
      "Line 12420: MARQUITTA\n",
      "Line 12421: MARHTA\n",
      "Line 12422: MARCHELLE\n",
      "Line 12423: LIZETH\n",
      "Line 12424: LIBBIE\n",
      "Line 12425: LAHOMA\n",
      "Line 12426: LADAWN\n",
      "Line 12427: KINA\n",
      "Line 12428: KATHELEEN\n",
      "Line 12429: KATHARYN\n",
      "Line 12430: KARISA\n",
      "Line 12431: KALEIGH\n",
      "Line 12432: JUNIE\n",
      "Line 12433: JULIEANN\n",
      "Line 12434: JOHNSIE\n",
      "Line 12435: JANEAN\n",
      "Line 12436: JAIMEE\n",
      "Line 12437: JACKQUELINE\n",
      "Line 12438: HISAKO\n",
      "Line 12439: HERMA\n",
      "Line 12440: HELAINE\n",
      "Line 12441: GWYNETH\n",
      "Line 12442: GLENN\n",
      "Line 12443: GITA\n",
      "Line 12444: EUSTOLIA\n",
      "Line 12445: EMELINA\n",
      "Line 12446: ELIN\n",
      "Line 12447: EDRIS\n",
      "Line 12448: DONNETTE\n",
      "Line 12449: DONNETTA\n",
      "Line 12450: DIERDRE\n",
      "Line 12451: DENAE\n",
      "Line 12452: DARCEL\n",
      "Line 12453: CLAUDE\n",
      "Line 12454: CLARISA\n",
      "Line 12455: CINDERELLA\n",
      "Line 12456: CHIA\n",
      "Line 12457: CHARLESETTA\n",
      "Line 12458: CHARITA\n",
      "Line 12459: CELSA\n",
      "Line 12460: CASSY\n",
      "Line 12461: CASSI\n",
      "Line 12462: CARLEE\n",
      "Line 12463: BRUNA\n",
      "Line 12464: BRITTANEY\n",
      "Line 12465: BRANDE\n",
      "Line 12466: BILLI\n",
      "Line 12467: BAO\n",
      "Line 12468: ANTONETTA\n",
      "Line 12469: ANGLA\n",
      "Line 12470: ANGELYN\n",
      "Line 12471: ANALISA\n",
      "Line 12472: ALANE\n",
      "Line 12473: WENONA\n",
      "Line 12474: WENDIE\n",
      "Line 12475: VERONIQUE\n",
      "Line 12476: VANNESA\n",
      "Line 12477: TOBIE\n",
      "Line 12478: TEMPIE\n",
      "Line 12479: SUMIKO\n",
      "Line 12480: SULEMA\n",
      "Line 12481: SPARKLE\n",
      "Line 12482: SOMER\n",
      "Line 12483: SHEBA\n",
      "Line 12484: SHAYNE\n",
      "Line 12485: SHARICE\n",
      "Line 12486: SHANEL\n",
      "Line 12487: SHALON\n",
      "Line 12488: SAGE\n",
      "Line 12489: ROY\n",
      "Line 12490: ROSIO\n",
      "Line 12491: ROSELIA\n",
      "Line 12492: RENAY\n",
      "Line 12493: REMA\n",
      "Line 12494: REENA\n",
      "Line 12495: PORSCHE\n",
      "Line 12496: PING\n",
      "Line 12497: PEG\n",
      "Line 12498: OZIE\n",
      "Line 12499: ORETHA\n",
      "Line 12500: ORALEE\n",
      "Line 12501: ODA\n",
      "Line 12502: NU\n",
      "Line 12503: NGAN\n",
      "Line 12504: NAKESHA\n",
      "Line 12505: MILLY\n",
      "Line 12506: MARYBELLE\n",
      "Line 12507: MARLIN\n",
      "Line 12508: MARIS\n",
      "Line 12509: MARGRETT\n",
      "Line 12510: MARAGARET\n",
      "Line 12511: MANIE\n",
      "Line 12512: LURLENE\n",
      "Line 12513: LILLIA\n",
      "Line 12514: LIESELOTTE\n",
      "Line 12515: LAVELLE\n",
      "Line 12516: LASHAUNDA\n",
      "Line 12517: LAKEESHA\n",
      "Line 12518: KEITH\n",
      "Line 12519: KAYCEE\n",
      "Line 12520: KALYN\n",
      "Line 12521: JOYA\n",
      "Line 12522: JOETTE\n",
      "Line 12523: JENAE\n",
      "Line 12524: JANIECE\n",
      "Line 12525: ILLA\n",
      "Line 12526: GRISEL\n",
      "Line 12527: GLAYDS\n",
      "Line 12528: GENEVIE\n",
      "Line 12529: GALA\n",
      "Line 12530: FREDDA\n",
      "Line 12531: FRED\n",
      "Line 12532: ELMER\n",
      "Line 12533: ELEONOR\n",
      "Line 12534: DEBERA\n",
      "Line 12535: DEANDREA\n",
      "Line 12536: DAN\n",
      "Line 12537: CORRINNE\n",
      "Line 12538: CORDIA\n",
      "Line 12539: CONTESSA\n",
      "Line 12540: COLENE\n",
      "Line 12541: CLEOTILDE\n",
      "Line 12542: CHARLOTT\n",
      "Line 12543: CHANTAY\n",
      "Line 12544: CECILLE\n",
      "Line 12545: BEATRIS\n",
      "Line 12546: AZALEE\n",
      "Line 12547: ARLEAN\n",
      "Line 12548: ARDATH\n",
      "Line 12549: ANJELICA\n",
      "Line 12550: ANJA\n",
      "Line 12551: ALFREDIA\n",
      "Line 12552: ALEISHA\n",
      "Line 12553: ADAM\n",
      "Line 12554: ZADA\n",
      "Line 12555: YUONNE\n",
      "Line 12556: XIAO\n",
      "Line 12557: WILLODEAN\n",
      "Line 12558: WHITLEY\n",
      "Line 12559: VENNIE\n",
      "Line 12560: VANNA\n",
      "Line 12561: TYISHA\n",
      "Line 12562: TOVA\n",
      "Line 12563: TORIE\n",
      "Line 12564: TONISHA\n",
      "Line 12565: TILDA\n",
      "Line 12566: TIEN\n",
      "Line 12567: TEMPLE\n",
      "Line 12568: SIRENA\n",
      "Line 12569: SHERRIL\n",
      "Line 12570: SHANTI\n",
      "Line 12571: SHAN\n",
      "Line 12572: SENAIDA\n",
      "Line 12573: SAMELLA\n",
      "Line 12574: ROBBYN\n",
      "Line 12575: RENDA\n",
      "Line 12576: REITA\n",
      "Line 12577: PHEBE\n",
      "Line 12578: PAULITA\n",
      "Line 12579: NOBUKO\n",
      "Line 12580: NGUYET\n",
      "Line 12581: NEOMI\n",
      "Line 12582: MOON\n",
      "Line 12583: MIKAELA\n",
      "Line 12584: MELANIA\n",
      "Line 12585: MAXIMINA\n",
      "Line 12586: MARG\n",
      "Line 12587: MAISIE\n",
      "Line 12588: LYNNA\n",
      "Line 12589: LILLI\n",
      "Line 12590: LAYNE\n",
      "Line 12591: LASHAUN\n",
      "Line 12592: LAKENYA\n",
      "Line 12593: LAEL\n",
      "Line 12594: KIRSTIE\n",
      "Line 12595: KATHLINE\n",
      "Line 12596: KASHA\n",
      "Line 12597: KARLYN\n",
      "Line 12598: KARIMA\n",
      "Line 12599: JOVAN\n",
      "Line 12600: JOSEFINE\n",
      "Line 12601: JENNELL\n",
      "Line 12602: JACQUI\n",
      "Line 12603: JACKELYN\n",
      "Line 12604: HYO\n",
      "Line 12605: HIEN\n",
      "Line 12606: GRAZYNA\n",
      "Line 12607: FLORRIE\n",
      "Line 12608: FLORIA\n",
      "Line 12609: ELEONORA\n",
      "Line 12610: DWANA\n",
      "Line 12611: DORLA\n",
      "Line 12612: DONG\n",
      "Line 12613: DELMY\n",
      "Line 12614: DEJA\n",
      "Line 12615: DEDE\n",
      "Line 12616: DANN\n",
      "Line 12617: CRYSTA\n",
      "Line 12618: CLELIA\n",
      "Line 12619: CLARIS\n",
      "Line 12620: CLARENCE\n",
      "Line 12621: CHIEKO\n",
      "Line 12622: CHERLYN\n",
      "Line 12623: CHERELLE\n",
      "Line 12624: CHARMAIN\n",
      "Line 12625: CHARA\n",
      "Line 12626: CAMMY\n",
      "Line 12627: BEE\n",
      "Line 12628: ARNETTE\n",
      "Line 12629: ARDELLE\n",
      "Line 12630: ANNIKA\n",
      "Line 12631: AMIEE\n",
      "Line 12632: AMEE\n",
      "Line 12633: ALLENA\n",
      "Line 12634: YVONE\n",
      "Line 12635: YUKI\n",
      "Line 12636: YOSHIE\n",
      "Line 12637: YEVETTE\n",
      "Line 12638: YAEL\n",
      "Line 12639: WILLETTA\n",
      "Line 12640: VONCILE\n",
      "Line 12641: VENETTA\n",
      "Line 12642: TULA\n",
      "Line 12643: TONETTE\n",
      "Line 12644: TIMIKA\n",
      "Line 12645: TEMIKA\n",
      "Line 12646: TELMA\n",
      "Line 12647: TEISHA\n",
      "Line 12648: TAREN\n",
      "Line 12649: TA\n",
      "Line 12650: STACEE\n",
      "Line 12651: SHIN\n",
      "Line 12652: SHAWNTA\n",
      "Line 12653: SATURNINA\n",
      "Line 12654: RICARDA\n",
      "Line 12655: POK\n",
      "Line 12656: PASTY\n",
      "Line 12657: ONIE\n",
      "Line 12658: NUBIA\n",
      "Line 12659: MORA\n",
      "Line 12660: MIKE\n",
      "Line 12661: MARIELLE\n",
      "Line 12662: MARIELLA\n",
      "Line 12663: MARIANELA\n",
      "Line 12664: MARDELL\n",
      "Line 12665: MANY\n",
      "Line 12666: LUANNA\n",
      "Line 12667: LOISE\n",
      "Line 12668: LISABETH\n",
      "Line 12669: LINDSY\n",
      "Line 12670: LILLIANA\n",
      "Line 12671: LILLIAM\n",
      "Line 12672: LELAH\n",
      "Line 12673: LEIGHA\n",
      "Line 12674: LEANORA\n",
      "Line 12675: LANG\n",
      "Line 12676: KRISTEEN\n",
      "Line 12677: KHALILAH\n",
      "Line 12678: KEELEY\n",
      "Line 12679: KANDRA\n",
      "Line 12680: JUNKO\n",
      "Line 12681: JOAQUINA\n",
      "Line 12682: JERLENE\n",
      "Line 12683: JANI\n",
      "Line 12684: JAMIKA\n",
      "Line 12685: JAME\n",
      "Line 12686: HSIU\n",
      "Line 12687: HERMILA\n",
      "Line 12688: GOLDEN\n",
      "Line 12689: GENEVIVE\n",
      "Line 12690: EVIA\n",
      "Line 12691: EUGENA\n",
      "Line 12692: EMMALINE\n",
      "Line 12693: ELFREDA\n",
      "Line 12694: ELENE\n",
      "Line 12695: DONETTE\n",
      "Line 12696: DELCIE\n",
      "Line 12697: DEEANNA\n",
      "Line 12698: DARCEY\n",
      "Line 12699: CUC\n",
      "Line 12700: CLARINDA\n",
      "Line 12701: CIRA\n",
      "Line 12702: CHAE\n",
      "Line 12703: CELINDA\n",
      "Line 12704: CATHERYN\n",
      "Line 12705: CATHERIN\n",
      "Line 12706: CASIMIRA\n",
      "Line 12707: CARMELIA\n",
      "Line 12708: CAMELLIA\n",
      "Line 12709: BREANA\n",
      "Line 12710: BOBETTE\n",
      "Line 12711: BERNARDINA\n",
      "Line 12712: BEBE\n",
      "Line 12713: BASILIA\n",
      "Line 12714: ARLYNE\n",
      "Line 12715: AMAL\n",
      "Line 12716: ALAYNA\n",
      "Line 12717: ZONIA\n",
      "Line 12718: ZENIA\n",
      "Line 12719: YURIKO\n",
      "Line 12720: YAEKO\n",
      "Line 12721: WYNELL\n",
      "Line 12722: WILLOW\n",
      "Line 12723: WILLENA\n",
      "Line 12724: VERNIA\n",
      "Line 12725: TU\n",
      "Line 12726: TRAVIS\n",
      "Line 12727: TORA\n",
      "Line 12728: TERRILYN\n",
      "Line 12729: TERICA\n",
      "Line 12730: TENESHA\n",
      "Line 12731: TAWNA\n",
      "Line 12732: TAJUANA\n",
      "Line 12733: TAINA\n",
      "Line 12734: STEPHNIE\n",
      "Line 12735: SONA\n",
      "Line 12736: SOL\n",
      "Line 12737: SINA\n",
      "Line 12738: SHONDRA\n",
      "Line 12739: SHIZUKO\n",
      "Line 12740: SHERLENE\n",
      "Line 12741: SHERICE\n",
      "Line 12742: SHARIKA\n",
      "Line 12743: ROSSIE\n",
      "Line 12744: ROSENA\n",
      "Line 12745: RORY\n",
      "Line 12746: RIMA\n",
      "Line 12747: RIA\n",
      "Line 12748: RHEBA\n",
      "Line 12749: RENNA\n",
      "Line 12750: PETER\n",
      "Line 12751: NATALYA\n",
      "Line 12752: NANCEE\n",
      "Line 12753: MELODI\n",
      "Line 12754: MEDA\n",
      "Line 12755: MAXIMA\n",
      "Line 12756: MATHA\n",
      "Line 12757: MARKETTA\n",
      "Line 12758: MARICRUZ\n",
      "Line 12759: MARCELENE\n",
      "Line 12760: MALVINA\n",
      "Line 12761: LUBA\n",
      "Line 12762: LOUETTA\n",
      "Line 12763: LEIDA\n",
      "Line 12764: LECIA\n",
      "Line 12765: LAURAN\n",
      "Line 12766: LASHAWNA\n",
      "Line 12767: LAINE\n",
      "Line 12768: KHADIJAH\n",
      "Line 12769: KATERINE\n",
      "Line 12770: KASI\n",
      "Line 12771: KALLIE\n",
      "Line 12772: JULIETTA\n",
      "Line 12773: JESUSITA\n",
      "Line 12774: JESTINE\n",
      "Line 12775: JESSIA\n",
      "Line 12776: JEREMY\n",
      "Line 12777: JEFFIE\n",
      "Line 12778: JANYCE\n",
      "Line 12779: ISADORA\n",
      "Line 12780: GEORGIANNE\n",
      "Line 12781: FIDELIA\n",
      "Line 12782: EVITA\n",
      "Line 12783: EURA\n",
      "Line 12784: EULAH\n",
      "Line 12785: ESTEFANA\n",
      "Line 12786: ELSY\n",
      "Line 12787: ELIZABET\n",
      "Line 12788: ELADIA\n",
      "Line 12789: DODIE\n",
      "Line 12790: DION\n",
      "Line 12791: DIA\n",
      "Line 12792: DENISSE\n",
      "Line 12793: DELORAS\n",
      "Line 12794: DELILA\n",
      "Line 12795: DAYSI\n",
      "Line 12796: DAKOTA\n",
      "Line 12797: CURTIS\n",
      "Line 12798: CRYSTLE\n",
      "Line 12799: CONCHA\n",
      "Line 12800: COLBY\n",
      "Line 12801: CLARETTA\n",
      "Line 12802: CHU\n",
      "Line 12803: CHRISTIA\n",
      "Line 12804: CHARLSIE\n",
      "Line 12805: CHARLENA\n",
      "Line 12806: CARYLON\n",
      "Line 12807: BETTYANN\n",
      "Line 12808: ASLEY\n",
      "Line 12809: ASHLEA\n",
      "Line 12810: AMIRA\n",
      "Line 12811: AI\n",
      "Line 12812: AGUEDA\n",
      "Line 12813: AGNUS\n",
      "Line 12814: YUETTE\n",
      "Line 12815: VINITA\n",
      "Line 12816: VICTORINA\n",
      "Line 12817: TYNISHA\n",
      "Line 12818: TREENA\n",
      "Line 12819: TOCCARA\n",
      "Line 12820: TISH\n",
      "Line 12821: THOMASENA\n",
      "Line 12822: TEGAN\n",
      "Line 12823: SOILA\n",
      "Line 12824: SHILOH\n",
      "Line 12825: SHENNA\n",
      "Line 12826: SHARMAINE\n",
      "Line 12827: SHANTAE\n",
      "Line 12828: SHANDI\n",
      "Line 12829: SEPTEMBER\n",
      "Line 12830: SARAN\n",
      "Line 12831: SARAI\n",
      "Line 12832: SANA\n",
      "Line 12833: SAMUEL\n",
      "Line 12834: SALLEY\n",
      "Line 12835: ROSETTE\n",
      "Line 12836: ROLANDE\n",
      "Line 12837: REGINE\n",
      "Line 12838: OTELIA\n",
      "Line 12839: OSCAR\n",
      "Line 12840: OLEVIA\n",
      "Line 12841: NICHOLLE\n",
      "Line 12842: NECOLE\n",
      "Line 12843: NAIDA\n",
      "Line 12844: MYRTA\n",
      "Line 12845: MYESHA\n",
      "Line 12846: MITSUE\n",
      "Line 12847: MINTA\n",
      "Line 12848: MERTIE\n",
      "Line 12849: MARGY\n",
      "Line 12850: MAHALIA\n",
      "Line 12851: MADALENE\n",
      "Line 12852: LOVE\n",
      "Line 12853: LOURA\n",
      "Line 12854: LOREAN\n",
      "Line 12855: LEWIS\n",
      "Line 12856: LESHA\n",
      "Line 12857: LEONIDA\n",
      "Line 12858: LENITA\n",
      "Line 12859: LAVONE\n",
      "Line 12860: LASHELL\n",
      "Line 12861: LASHANDRA\n",
      "Line 12862: LAMONICA\n",
      "Line 12863: KIMBRA\n",
      "Line 12864: KATHERINA\n",
      "Line 12865: KARRY\n",
      "Line 12866: KANESHA\n",
      "Line 12867: JULIO\n",
      "Line 12868: JONG\n",
      "Line 12869: JENEVA\n",
      "Line 12870: JAQUELYN\n",
      "Line 12871: HWA\n",
      "Line 12872: GILMA\n",
      "Line 12873: GHISLAINE\n",
      "Line 12874: GERTRUDIS\n",
      "Line 12875: FRANSISCA\n",
      "Line 12876: FERMINA\n",
      "Line 12877: ETTIE\n",
      "Line 12878: ETSUKO\n",
      "Line 12879: ELLIS\n",
      "Line 12880: ELLAN\n",
      "Line 12881: ELIDIA\n",
      "Line 12882: EDRA\n",
      "Line 12883: DORETHEA\n",
      "Line 12884: DOREATHA\n",
      "Line 12885: DENYSE\n",
      "Line 12886: DENNY\n",
      "Line 12887: DEETTA\n",
      "Line 12888: DAINE\n",
      "Line 12889: CYRSTAL\n",
      "Line 12890: CORRIN\n",
      "Line 12891: CAYLA\n",
      "Line 12892: CARLITA\n",
      "Line 12893: CAMILA\n",
      "Line 12894: BURMA\n",
      "Line 12895: BULA\n",
      "Line 12896: BUENA\n",
      "Line 12897: BLAKE\n",
      "Line 12898: BARABARA\n",
      "Line 12899: AVRIL\n",
      "Line 12900: AUSTIN\n",
      "Line 12901: ALAINE\n",
      "Line 12902: ZANA\n",
      "Line 12903: WILHEMINA\n",
      "Line 12904: WANETTA\n",
      "Line 12905: VIRGIL\n",
      "Line 12906: VI\n",
      "Line 12907: VERONIKA\n",
      "Line 12908: VERNON\n",
      "Line 12909: VERLINE\n",
      "Line 12910: VASILIKI\n",
      "Line 12911: TONITA\n",
      "Line 12912: TISA\n",
      "Line 12913: TEOFILA\n",
      "Line 12914: TAYNA\n",
      "Line 12915: TAUNYA\n",
      "Line 12916: TANDRA\n",
      "Line 12917: TAKAKO\n",
      "Line 12918: SUNNI\n",
      "Line 12919: SUANNE\n",
      "Line 12920: SIXTA\n",
      "Line 12921: SHARELL\n",
      "Line 12922: SEEMA\n",
      "Line 12923: RUSSELL\n",
      "Line 12924: ROSENDA\n",
      "Line 12925: ROBENA\n",
      "Line 12926: RAYMONDE\n",
      "Line 12927: PEI\n",
      "Line 12928: PAMILA\n",
      "Line 12929: OZELL\n",
      "Line 12930: NEIDA\n",
      "Line 12931: NEELY\n",
      "Line 12932: MISTIE\n",
      "Line 12933: MICHA\n",
      "Line 12934: MERISSA\n",
      "Line 12935: MAURITA\n",
      "Line 12936: MARYLN\n",
      "Line 12937: MARYETTA\n",
      "Line 12938: MARSHALL\n",
      "Line 12939: MARCELL\n",
      "Line 12940: MALENA\n",
      "Line 12941: MAKEDA\n",
      "Line 12942: MADDIE\n",
      "Line 12943: LOVETTA\n",
      "Line 12944: LOURIE\n",
      "Line 12945: LORRINE\n",
      "Line 12946: LORILEE\n",
      "Line 12947: LESTER\n",
      "Line 12948: LAURENA\n",
      "Line 12949: LASHAY\n",
      "Line 12950: LARRAINE\n",
      "Line 12951: LAREE\n",
      "Line 12952: LACRESHA\n",
      "Line 12953: KRISTLE\n",
      "Line 12954: KRISHNA\n",
      "Line 12955: KEVA\n",
      "Line 12956: KEIRA\n",
      "Line 12957: KAROLE\n",
      "Line 12958: JOIE\n",
      "Line 12959: JINNY\n",
      "Line 12960: JEANNETTA\n",
      "Line 12961: JAMA\n",
      "Line 12962: HEIDY\n",
      "Line 12963: GILBERTE\n",
      "Line 12964: GEMA\n",
      "Line 12965: FAVIOLA\n",
      "Line 12966: EVELYNN\n",
      "Line 12967: ENDA\n",
      "Line 12968: ELLI\n",
      "Line 12969: ELLENA\n",
      "Line 12970: DIVINA\n",
      "Line 12971: DAGNY\n",
      "Line 12972: COLLENE\n",
      "Line 12973: CODI\n",
      "Line 12974: CINDIE\n",
      "Line 12975: CHASSIDY\n",
      "Line 12976: CHASIDY\n",
      "Line 12977: CATRICE\n",
      "Line 12978: CATHERINA\n",
      "Line 12979: CASSEY\n",
      "Line 12980: CAROLL\n",
      "Line 12981: CARLENA\n",
      "Line 12982: CANDRA\n",
      "Line 12983: CALISTA\n",
      "Line 12984: BRYANNA\n",
      "Line 12985: BRITTENY\n",
      "Line 12986: BEULA\n",
      "Line 12987: BARI\n",
      "Line 12988: AUDRIE\n",
      "Line 12989: AUDRIA\n",
      "Line 12990: ARDELIA\n",
      "Line 12991: ANNELLE\n",
      "Line 12992: ANGILA\n",
      "Line 12993: ALONA\n",
      "Line 12994: ALLYN\n",
      "Line 12995: LI\n",
      "Line 12996: WANG\n",
      "Line 12997: ZHANG\n",
      "Line 12998: LIU\n",
      "Line 12999: CHEN\n",
      "Line 13000: YANG\n",
      "Line 13001: HUANG\n",
      "Line 13002: ZHAO\n",
      "Line 13003: ZHOU\n",
      "Line 13004: WU\n",
      "Line 13005: XU\n",
      "Line 13006: SUN\n",
      "Line 13007: ZHU\n",
      "Line 13008: MA\n",
      "Line 13009: HU\n",
      "Line 13010: GUO\n",
      "Line 13011: LIN\n",
      "Line 13012: HE\n",
      "Line 13013: GAO\n",
      "Line 13014: LIANG\n",
      "***************************************************************************\n"
     ]
    }
   ],
   "source": [
    "stopWords=[]\n",
    "for path in stopL:\n",
    "    file1 = open(path, 'r')\n",
    "    Lines = file1.readlines()\n",
    "\n",
    "    print(path)\n",
    "    print()\n",
    "    count = 0\n",
    "    # Strips the newline character\n",
    "    for line in Lines:\n",
    "        count += 1\n",
    "        print(\"Line {}: {}\".format(count, line.strip().split()[0] ))\n",
    "        stopWords.append(line.strip().split()[0] )\n",
    "    print('*'*75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e1735125",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14107"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(stopWords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c7f4a0a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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'revolutionary', 'revolutionize', 'revolutionized', 'revolutionizes', 'reward', 'rewarding', 'rewardingly', 'rich', 'richer', 'richly', 'richness', 'righten', 'righteous', 'righteously', 'righteousness', 'rightful', 'rightfully', 'rightly', 'rightness', 'risk-free', 'robust', 'rock-star', 'rock-stars', 'rockstar', 'rockstars', 'romantic', 'romantically', 'romanticize', 'roomier', 'roomy', 'rosy', 'safe', 'safely', 'sagacity', 'sagely', 'saint', 'saintliness', 'saintly', 'salutary', 'salute', 'sane', 'satisfactorily', 'satisfactory', 'satisfied', 'satisfies', 'satisfy', 'satisfying', 'satisified', 'saver', 'savings', 'savior', 'savvy', 'scenic', 'seamless', 'seasoned', 'secure', 'securely', 'selective', 'self-determination', 'self-respect', 'self-satisfaction', 'self-sufficiency', 'self-sufficient', 'sensation', 'sensational', 'sensationally', 'sensations', 'sensibly', 'sensitive', 'serene', 'serenity', 'sexy', 'sharp', 'sharper', 'sharpest', 'shimmering', 'shimmeringly', 'shine', 'shiny', 'significant', 'silent', 'simpler', 'simplest', 'simplified', 'simplifies', 'simplify', 'simplifying', 'sincere', 'sincerely', 'sincerity', 'skill', 'skilled', 'skillful', 'skillfully', 'slammin', 'sleek', 'slick', 'smart', 'smarter', 'smartest', 'smartly', 'smile', 'smiles', 'smiling', 'smilingly', 'smitten', 'smooth', 'smoother', 'smoothes', 'smoothest', 'smoothly', 'snappy', 'snazzy', 'sociable', 'soft', 'softer', 'solace', 'solicitous', 'solicitously', 'solid', 'solidarity', 'soothe', 'soothingly', 'sophisticated', 'soulful', 'soundly', 'soundness', 'spacious', 'sparkle', 'sparkling', 'spectacular', 'spectacularly', 'speedily', 'speedy', 'spellbind', 'spellbinding', 'spellbindingly', 'spellbound', 'spirited', 'spiritual', 'splendid', 'splendidly', 'splendor', 'spontaneous', 'sporty', 'spotless', 'sprightly', 'stability', 'stabilize', 'stable', 'stainless', 'standout', 'state-of-the-art', 'stately', 'statuesque', 'staunch', 'staunchly', 'staunchness', 'steadfast', 'steadfastly', 'steadfastness', 'steadiest', 'steadiness', 'steady', 'stellar', 'stellarly', 'stimulate', 'stimulates', 'stimulating', 'stimulative', 'stirringly', 'straighten', 'straightforward', 'streamlined', 'striking', 'strikingly', 'striving', 'strong', 'stronger', 'strongest', 'stunned', 'stunning', 'stunningly', 'stupendous', 'stupendously', 'sturdier', 'sturdy', 'stylish', 'stylishly', 'stylized', 'suave', 'suavely', 'sublime', 'subsidize', 'subsidized', 'subsidizes', 'subsidizing', 'substantive', 'succeed', 'succeeded', 'succeeding', 'succeeds', 'succes', 'success', 'successes', 'successful', 'successfully', 'suffice', 'sufficed', 'suffices', 'sufficient', 'sufficiently', 'suitable', 'sumptuous', 'sumptuously', 'sumptuousness', 'super', 'superb', 'superbly', 'superior', 'superiority', 'supple', 'support', 'supported', 'supporter', 'supporting', 'supportive', 'supports', 'supremacy', 'supreme', 'supremely', 'supurb', 'supurbly', 'surmount', 'surpass', 'surreal', 'survival', 'survivor', 'sustainability', 'sustainable', 'swank', 'swankier', 'swankiest', 'swanky', 'sweeping', 'sweet', 'sweeten', 'sweetheart', 'sweetly', 'sweetness', 'swift', 'swiftness', 'talent', 'talented', 'talents', 'tantalize', 'tantalizing', 'tantalizingly', 'tempt', 'tempting', 'temptingly', 'tenacious', 'tenaciously', 'tenacity', 'tender', 'tenderly', 'terrific', 'terrifically', 'thankful', 'thinner', 'thoughtful', 'thoughtfully', 'thoughtfulness', 'thrift', 'thrifty', 'thrill', 'thrilled', 'thrilling', 'thrillingly', 'thrills', 'thrive', 'thriving', 'thumb-up', 'thumbs-up', 'tickle', 'tidy', 'time-honored', 'timely', 'tingle', 'titillate', 'titillating', 'titillatingly', 'togetherness', 'tolerable', 'toll-free', 'top', 'top-notch', 'top-quality', 'topnotch', 'tops', 'tough', 'tougher', 'toughest', 'traction', 'tranquil', 'tranquility', 'transparent', 'treasure', 'tremendously', 'trendy', 'triumph', 'triumphal', 'triumphant', 'triumphantly', 'trivially', 'trophy', 'trouble-free', 'trump', 'trumpet', 'trust', 'trusted', 'trusting', 'trustingly', 'trustworthiness', 'trustworthy', 'trusty', 'truthful', 'truthfully', 'truthfulness', 'twinkly', 'ultra-crisp', 'unabashed', 'unabashedly', 'unaffected', 'unassailable', 'unbeatable', 'unbiased', 'unbound', 'uncomplicated', 'unconditional', 'undamaged', 'undaunted', 'understandable', 'undisputable', 'undisputably', 'undisputed', 'unencumbered', 'unequivocal', 'unequivocally', 'unfazed', 'unfettered', 'unforgettable', 'unity', 'unlimited', 'unmatched', 'unparalleled', 'unquestionable', 'unquestionably', 'unreal', 'unrestricted', 'unrivaled', 'unselfish', 'unwavering', 'upbeat', 'upgradable', 'upgradeable', 'upgraded', 'upheld', 'uphold', 'uplift', 'uplifting', 'upliftingly', 'upliftment', 'upscale', 'usable', 'useable', 'user-friendly', 'user-replaceable', 'valiant', 'valiantly', 'valor', 'valuable', 'variety', 'venerate', 'verifiable', 'veritable', 'versatile', 'versatility', 'vibrant', 'vibrantly', 'victorious', 'victory', 'viewable', 'vigilance', 'vigilant', 'virtue', 'virtuous', 'virtuously', 'visionary', 'vivacious', 'vivid', 'vouch', 'vouchsafe', 'warm', 'warmer', 'warmhearted', 'warmly', 'warmth', 'wealthy', 'well-backlit', 'well-balanced', 'well-behaved', 'well-being', 'well-bred', 'well-connected', 'well-educated', 'well-established', 'well-informed', 'well-intentioned', 'well-known', 'well-made', 'well-managed', 'well-mannered', 'well-positioned', 'well-received', 'well-regarded', 'well-rounded', 'well-run', 'well-wishers', 'wellbeing', 'whoa', 'wholeheartedly', 'wholesome', 'whooa', 'whoooa', 'wieldy', 'willingly', 'willingness', 'win', 'windfall', 'winnable', 'winner', 'winners', 'winning', 'wins', 'wisdom', 'wise', 'wisely', 'witty', 'won', 'wonderful', 'wonderfully', 'wonderous', 'wonderously', 'wonders', 'wondrous', 'woo', 'work', 'workable', 'worked', 'works', 'world-famous', 'worth', 'worth-while', 'worthiness', 'worthwhile', 'worthy', 'wow', 'wowed', 'wowing', 'wows', 'yay', 'youthful', 'zeal', 'zenith', 'zest', 'zippy']\n"
     ]
    }
   ],
   "source": [
    "with open(r'C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\MasterDictionary\\positive-words.txt','r') as f:\n",
    "    pos = f.readlines()\n",
    "    pos = [x.replace('\\n','') for x in pos]\n",
    "    pos = [x for x in pos if x not in stopWords] \n",
    "print(pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7ce08d31",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2-faced', '2-faces', 'abnormal', 'abolish', 'abominable', 'abominably', 'abominate', 'abomination', 'abort', 'aborted', 'aborts', 'abrade', 'abrasive', 'abrupt', 'abruptly', 'abscond', 'absence', 'absent-minded', 'absentee', 'absurd', 'absurdity', 'absurdly', 'absurdness', 'abuse', 'abused', 'abuses', 'abusive', 'abysmal', 'abysmally', 'abyss', 'accidental', 'accost', 'accursed', 'accusation', 'accusations', 'accuse', 'accuses', 'accusing', 'accusingly', 'acerbate', 'acerbic', 'acerbically', 'ache', 'ached', 'aches', 'achey', 'aching', 'acrid', 'acridly', 'acridness', 'acrimonious', 'acrimoniously', 'acrimony', 'adamant', 'adamantly', 'addict', 'addicted', 'addicting', 'addicts', 'admonish', 'admonisher', 'admonishingly', 'admonishment', 'admonition', 'adulterate', 'adulterated', 'adulteration', 'adulterier', 'adversarial', 'adversary', 'adverse', 'adversity', 'afflict', 'affliction', 'afflictive', 'affront', 'afraid', 'aggravate', 'aggravating', 'aggravation', 'aggression', 'aggressive', 'aggressiveness', 'aggressor', 'aggrieve', 'aggrieved', 'aggrivation', 'aghast', 'agonies', 'agonize', 'agonizing', 'agonizingly', 'agony', 'aground', 'ail', 'ailing', 'ailment', 'aimless', 'alarm', 'alarmed', 'alarming', 'alarmingly', 'alienate', 'alienated', 'alienation', 'allegation', 'allegations', 'allege', 'allergic', 'allergies', 'allergy', 'aloof', 'altercation', 'ambiguity', 'ambiguous', 'ambivalence', 'ambivalent', 'ambush', 'amiss', 'amputate', 'anarchism', 'anarchist', 'anarchistic', 'anarchy', 'anemic', 'anger', 'angrily', 'angriness', 'angry', 'anguish', 'animosity', 'annihilate', 'annihilation', 'annoy', 'annoyance', 'annoyances', 'annoyed', 'annoying', 'annoyingly', 'annoys', 'anomalous', 'anomaly', 'antagonism', 'antagonist', 'antagonistic', 'antagonize', 'anti-', 'anti-american', 'anti-israeli', 'anti-occupation', 'anti-proliferation', 'anti-semites', 'anti-social', 'anti-us', 'anti-white', 'antipathy', 'antiquated', 'antithetical', 'anxieties', 'anxiety', 'anxious', 'anxiously', 'anxiousness', 'apathetic', 'apathetically', 'apathy', 'apocalypse', 'apocalyptic', 'apologist', 'apologists', 'appal', 'appall', 'appalled', 'appalling', 'appallingly', 'apprehension', 'apprehensions', 'apprehensive', 'apprehensively', 'arbitrary', 'arcane', 'archaic', 'arduous', 'arduously', 'argumentative', 'arrogance', 'arrogant', 'arrogantly', 'ashamed', 'asinine', 'asininely', 'asinininity', 'askance', 'asperse', 'aspersion', 'aspersions', 'assail', 'assassin', 'assassinate', 'assault', 'assult', 'astray', 'asunder', 'atrocious', 'atrocities', 'atrocity', 'atrophy', 'attack', 'attacks', 'audacious', 'audaciously', 'audaciousness', 'audacity', 'audiciously', 'austere', 'authoritarian', 'autocrat', 'autocratic', 'avalanche', 'avarice', 'avaricious', 'avariciously', 'avenge', 'averse', 'aversion', 'aweful', 'awful', 'awfulness', 'awkward', 'awkwardness', 'ax', 'babble', 'back-logged', 'back-wood', 'back-woods', 'backache', 'backaches', 'backaching', 'backbite', 'backbiting', 'backward', 'backwardness', 'backwood', 'backwoods', 'bad', 'badly', 'baffle', 'baffled', 'bafflement', 'baffling', 'bait', 'balk', 'banal', 'banalize', 'bane', 'banish', 'banishment', 'bankrupt', 'barbarian', 'barbaric', 'barbarically', 'barbarity', 'barbarous', 'barbarously', 'barren', 'baseless', 'bash', 'bashed', 'bashful', 'bashing', 'bastard', 'bastards', 'battered', 'battering', 'batty', 'bearish', 'beastly', 'bedlam', 'bedlamite', 'befoul', 'beg', 'beggar', 'beggarly', 'begging', 'beguile', 'belabor', 'belated', 'beleaguer', 'belie', 'belittle', 'belittled', 'belittling', 'bellicose', 'belligerence', 'belligerent', 'belligerently', 'bemoan', 'bemoaning', 'bemused', 'bent', 'berate', 'bereave', 'bereavement', 'bereft', 'berserk', 'beseech', 'beset', 'besiege', 'besmirch', 'bestial', 'betray', 'betrayal', 'betrayals', 'betrayer', 'betraying', 'betrays', 'bewail', 'beware', 'bewilder', 'bewildered', 'bewildering', 'bewilderingly', 'bewilderment', 'bewitch', 'bias', 'biased', 'biases', 'bicker', 'bickering', 'bid-rigging', 'bigotries', 'bigotry', 'bitch', 'bitchy', 'biting', 'bitingly', 'bitter', 'bitterly', 'bitterness', 'bizarre', 'blab', 'blabber', 'blackmail', 'blah', 'blame', 'blameworthy', 'bland', 'blandish', 'blaspheme', 'blasphemous', 'blasphemy', 'blasted', 'blatant', 'blatantly', 'blather', 'bleak', 'bleakly', 'bleakness', 'bleed', 'bleeding', 'bleeds', 'blemish', 'blind', 'blinding', 'blindingly', 'blindside', 'blister', 'blistering', 'bloated', 'blockage', 'blockhead', 'bloodshed', 'bloodthirsty', 'bloody', 'blotchy', 'blow', 'blunder', 'blundering', 'blunders', 'blunt', 'blur', 'bluring', 'blurred', 'blurring', 'blurry', 'blurs', 'blurt', 'boastful', 'boggle', 'bogus', 'boil', 'boiling', 'boisterous', 'bomb', 'bombard', 'bombardment', 'bombastic', 'bondage', 'bonkers', 'bore', 'bored', 'boredom', 'bores', 'boring', 'botch', 'bother', 'bothered', 'bothering', 'bothers', 'bothersome', 'bowdlerize', 'boycott', 'braggart', 'bragger', 'brainless', 'brainwash', 'brash', 'brashly', 'brashness', 'brat', 'bravado', 'brazen', 'brazenly', 'brazenness', 'breach', 'break', 'break-up', 'break-ups', 'breakdown', 'breaking', 'breaks', 'breakup', 'breakups', 'bribery', 'brimstone', 'bristle', 'brittle', 'broke', 'broken', 'broken-hearted', 'brood', 'browbeat', 'bruise', 'bruised', 'bruises', 'bruising', 'brusque', 'brutal', 'brutalising', 'brutalities', 'brutality', 'brutalize', 'brutalizing', 'brutally', 'brute', 'brutish', 'bs', 'buckle', 'bug', 'bugging', 'buggy', 'bugs', 'bulkier', 'bulkiness', 'bulky', 'bulkyness', 'bull****', 'bull----', 'bullies', 'bullshit', 'bullshyt', 'bully', 'bullying', 'bullyingly', 'bum', 'bump', 'bumped', 'bumping', 'bumpping', 'bumps', 'bumpy', 'bungle', 'bungler', 'bungling', 'bunk', 'burden', 'burdensome', 'burdensomely', 'burn', 'burned', 'burning', 'burns', 'bust', 'busts', 'busybody', 'butcher', 'butchery', 'buzzing', 'byzantine', 'cackle', 'calamities', 'calamitous', 'calamitously', 'calamity', 'callous', 'calumniate', 'calumniation', 'calumnies', 'calumnious', 'calumniously', 'calumny', 'cancer', 'cancerous', 'cannibal', 'cannibalize', 'capitulate', 'capricious', 'capriciously', 'capriciousness', 'capsize', 'careless', 'carelessness', 'caricature', 'carnage', 'carp', 'cartoonish', 'cash-strapped', 'castigate', 'castrated', 'casualty', 'cataclysm', 'cataclysmal', 'cataclysmic', 'cataclysmically', 'catastrophe', 'catastrophes', 'catastrophic', 'catastrophically', 'catastrophies', 'caustic', 'caustically', 'cautionary', 'cave', 'censure', 'chafe', 'chaff', 'chagrin', 'challenging', 'chaos', 'chaotic', 'chasten', 'chastise', 'chastisement', 'chatter', 'chatterbox', 'cheap', 'cheapen', 'cheaply', 'cheat', 'cheated', 'cheater', 'cheating', 'cheats', 'checkered', 'cheerless', 'cheesy', 'chide', 'childish', 'chill', 'chilly', 'chintzy', 'choke', 'choleric', 'choppy', 'chore', 'chronic', 'chunky', 'clamor', 'clamorous', 'clash', 'cliche', 'cliched', 'clique', 'clog', 'clogged', 'clogs', 'cloud', 'clouding', 'cloudy', 'clueless', 'clumsy', 'clunky', 'coarse', 'cocky', 'coerce', 'coercion', 'coercive', 'cold', 'coldly', 'collapse', 'collude', 'collusion', 'combative', 'combust', 'comical', 'commiserate', 'commonplace', 'commotion', 'commotions', 'complacent', 'complain', 'complained', 'complaining', 'complains', 'complaint', 'complaints', 'complex', 'complicated', 'complication', 'complicit', 'compulsion', 'compulsive', 'concede', 'conceded', 'conceit', 'conceited', 'concen', 'concens', 'concern', 'concerned', 'concerns', 'concession', 'concessions', 'condemn', 'condemnable', 'condemnation', 'condemned', 'condemns', 'condescend', 'condescending', 'condescendingly', 'condescension', 'confess', 'confession', 'confessions', 'confined', 'conflict', 'conflicted', 'conflicting', 'conflicts', 'confound', 'confounded', 'confounding', 'confront', 'confrontation', 'confrontational', 'confuse', 'confused', 'confuses', 'confusing', 'confusion', 'confusions', 'congested', 'congestion', 'cons', 'conscons', 'conservative', 'conspicuous', 'conspicuously', 'conspiracies', 'conspiracy', 'conspirator', 'conspiratorial', 'conspire', 'consternation', 'contagious', 'contaminate', 'contaminated', 'contaminates', 'contaminating', 'contamination', 'contempt', 'contemptible', 'contemptuous', 'contemptuously', 'contend', 'contention', 'contentious', 'contort', 'contortions', 'contradict', 'contradiction', 'contradictory', 'contrariness', 'contravene', 'contrive', 'contrived', 'controversial', 'controversy', 'convoluted', 'corrode', 'corrosion', 'corrosions', 'corrosive', 'corrupt', 'corrupted', 'corrupting', 'corruption', 'corrupts', 'corruptted', 'costlier', 'costly', 'counter-productive', 'counterproductive', 'coupists', 'covetous', 'coward', 'cowardly', 'crabby', 'crack', 'cracked', 'cracks', 'craftily', 'craftly', 'crafty', 'cramp', 'cramped', 'cramping', 'cranky', 'crap', 'crappy', 'craps', 'crash', 'crashed', 'crashes', 'crashing', 'crass', 'craven', 'cravenly', 'craze', 'crazily', 'craziness', 'crazy', 'creak', 'creaking', 'creaks', 'credulous', 'creep', 'creeping', 'creeps', 'creepy', 'crept', 'crime', 'criminal', 'cringe', 'cringed', 'cringes', 'cripple', 'crippled', 'cripples', 'crippling', 'crisis', 'critic', 'critical', 'criticism', 'criticisms', 'criticize', 'criticized', 'criticizing', 'critics', 'cronyism', 'crook', 'crooked', 'crooks', 'crowded', 'crowdedness', 'crude', 'cruel', 'crueler', 'cruelest', 'cruelly', 'cruelness', 'cruelties', 'cruelty', 'crumble', 'crumbling', 'crummy', 'crumple', 'crumpled', 'crumples', 'crush', 'crushed', 'crushing', 'cry', 'culpable', 'culprit', 'cumbersome', 'cunt', 'cunts', 'cuplrit', 'curse', 'cursed', 'curses', 'curt', 'cuss', 'cussed', 'cutthroat', 'cynical', 'cynicism', 'd*mn', 'damage', 'damaged', 'damages', 'damaging', 'damn', 'damnable', 'damnably', 'damnation', 'damned', 'damning', 'damper', 'danger', 'dangerous', 'dangerousness', 'dark', 'darken', 'darkened', 'darker', 'darkness', 'dastard', 'dastardly', 'daunt', 'daunting', 'dauntingly', 'dawdle', 'daze', 'dazed', 'dead', 'deadbeat', 'deadlock', 'deadly', 'deadweight', 'deaf', 'dearth', 'death', 'debacle', 'debase', 'debasement', 'debaser', 'debatable', 'debauch', 'debaucher', 'debauchery', 'debilitate', 'debilitating', 'debility', 'debt', 'debts', 'decadence', 'decadent', 'decay', 'decayed', 'deceit', 'deceitful', 'deceitfully', 'deceitfulness', 'deceive', 'deceiver', 'deceivers', 'deceiving', 'deception', 'deceptive', 'deceptively', 'declaim', 'decline', 'declines', 'declining', 'decrement', 'decrepit', 'decrepitude', 'decry', 'defamation', 'defamations', 'defamatory', 'defame', 'defect', 'defective', 'defects', 'defensive', 'defiance', 'defiant', 'defiantly', 'deficiencies', 'deficiency', 'deficient', 'defile', 'defiler', 'deform', 'deformed', 'defrauding', 'defunct', 'defy', 'degenerate', 'degenerately', 'degeneration', 'degradation', 'degrade', 'degrading', 'degradingly', 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'tortured', 'tortures', 'torturing', 'torturous', 'torturously', 'totalitarian', 'touchy', 'toughness', 'tout', 'touted', 'touts', 'toxic', 'traduce', 'tragedy', 'tragic', 'tragically', 'traitor', 'traitorous', 'traitorously', 'tramp', 'trample', 'transgress', 'transgression', 'trap', 'traped', 'trapped', 'trash', 'trashed', 'trashy', 'trauma', 'traumatic', 'traumatically', 'traumatize', 'traumatized', 'travesties', 'travesty', 'treacherous', 'treacherously', 'treachery', 'treason', 'treasonous', 'trick', 'tricked', 'trickery', 'tricky', 'trivial', 'trivialize', 'trouble', 'troubled', 'troublemaker', 'troubles', 'troublesome', 'troublesomely', 'troubling', 'troublingly', 'truant', 'tumble', 'tumbled', 'tumbles', 'tumultuous', 'turbulent', 'turmoil', 'twist', 'twisted', 'twists', 'two-faced', 'two-faces', 'tyrannical', 'tyrannically', 'tyranny', 'tyrant', 'ugh', 'uglier', 'ugliest', 'ugliness', 'ugly', 'ulterior', 'ultimatum', 'ultimatums', 'ultra-hardline', 'un-viewable', 'unable', 'unacceptable', 'unacceptablely', 'unacceptably', 'unaccessible', 'unaccustomed', 'unachievable', 'unaffordable', 'unappealing', 'unattractive', 'unauthentic', 'unavailable', 'unavoidably', 'unbearable', 'unbearablely', 'unbelievable', 'unbelievably', 'uncaring', 'uncertain', 'uncivil', 'uncivilized', 'unclean', 'unclear', 'uncollectible', 'uncomfortable', 'uncomfortably', 'uncomfy', 'uncompetitive', 'uncompromising', 'uncompromisingly', 'unconfirmed', 'unconstitutional', 'uncontrolled', 'unconvincing', 'unconvincingly', 'uncooperative', 'uncouth', 'uncreative', 'undecided', 'undefined', 'undependability', 'undependable', 'undercut', 'undercuts', 'undercutting', 'underdog', 'underestimate', 'underlings', 'undermine', 'undermined', 'undermines', 'undermining', 'underpaid', 'underpowered', 'undersized', 'undesirable', 'undetermined', 'undid', 'undignified', 'undissolved', 'undocumented', 'undone', 'undue', 'unease', 'uneasily', 'uneasiness', 'uneasy', 'uneconomical', 'unemployed', 'unequal', 'unethical', 'uneven', 'uneventful', 'unexpected', 'unexpectedly', 'unexplained', 'unfairly', 'unfaithful', 'unfaithfully', 'unfamiliar', 'unfavorable', 'unfeeling', 'unfinished', 'unfit', 'unforeseen', 'unforgiving', 'unfortunate', 'unfounded', 'unfriendly', 'unfulfilled', 'unfunded', 'ungovernable', 'ungrateful', 'unhappily', 'unhappiness', 'unhappy', 'unhealthy', 'unhelpful', 'unilateralism', 'unimaginable', 'unimaginably', 'unimportant', 'uninformed', 'uninsured', 'unintelligible', 'unintelligile', 'unipolar', 'unjust', 'unjustifiable', 'unjustifiably', 'unjustified', 'unjustly', 'unkind', 'unkindly', 'unknown', 'unlamentable', 'unlamentably', 'unlawful', 'unlawfully', 'unlawfulness', 'unleash', 'unlicensed', 'unlucky', 'unmoved', 'unnatural', 'unnaturally', 'unnecessary', 'unneeded', 'unnerve', 'unnerved', 'unnerving', 'unnervingly', 'unnoticed', 'unobserved', 'unorthodox', 'unorthodoxy', 'unpleasant', 'unpleasantries', 'unpopular', 'unpredictable', 'unprepared', 'unproductive', 'unprofitable', 'unprove', 'unproved', 'unproven', 'unproves', 'unproving', 'unqualified', 'unravel', 'unraveled', 'unreachable', 'unreadable', 'unrealistic', 'unreasonable', 'unreasonably', 'unrelenting', 'unrelentingly', 'unreliability', 'unreliable', 'unresolved', 'unresponsive', 'unrest', 'unruly', 'unsafe', 'unsatisfactory', 'unsavory', 'unscrupulous', 'unscrupulously', 'unsecure', 'unseemly', 'unsettle', 'unsettled', 'unsettling', 'unsettlingly', 'unskilled', 'unsophisticated', 'unsound', 'unspeakable', 'unspeakablely', 'unspecified', 'unstable', 'unsteadily', 'unsteadiness', 'unsteady', 'unsuccessful', 'unsuccessfully', 'unsupported', 'unsupportive', 'unsure', 'unsuspecting', 'unsustainable', 'untenable', 'untested', 'unthinkable', 'unthinkably', 'untimely', 'untouched', 'untrue', 'untrustworthy', 'untruthful', 'unusable', 'unusably', 'unuseable', 'unuseably', 'unusual', 'unusually', 'unviewable', 'unwanted', 'unwarranted', 'unwatchable', 'unwelcome', 'unwell', 'unwieldy', 'unwilling', 'unwillingly', 'unwillingness', 'unwise', 'unwisely', 'unworkable', 'unworthy', 'unyielding', 'upbraid', 'upheaval', 'uprising', 'uproar', 'uproarious', 'uproariously', 'uproarous', 'uproarously', 'uproot', 'upset', 'upseting', 'upsets', 'upsetting', 'upsettingly', 'urgent', 'useless', 'usurp', 'usurper', 'utterly', 'vagrant', 'vague', 'vagueness', 'vain', 'vainly', 'vanity', 'vehement', 'vehemently', 'vengeance', 'vengeful', 'vengefully', 'vengefulness', 'venom', 'venomous', 'venomously', 'vent', 'vestiges', 'vex', 'vexation', 'vexing', 'vexingly', 'vibrate', 'vibrated', 'vibrates', 'vibrating', 'vibration', 'vice', 'vicious', 'viciously', 'viciousness', 'victimize', 'vile', 'vileness', 'vilify', 'villainous', 'villainously', 'villains', 'villian', 'villianous', 'villianously', 'villify', 'vindictive', 'vindictively', 'vindictiveness', 'violate', 'violation', 'violator', 'violators', 'violent', 'violently', 'viper', 'virulence', 'virulent', 'virulently', 'virus', 'vociferous', 'vociferously', 'volatile', 'volatility', 'vomit', 'vomited', 'vomiting', 'vomits', 'vulgar', 'vulnerable', 'wack', 'wail', 'wallow', 'wane', 'waning', 'wanton', 'war-like', 'warily', 'wariness', 'warlike', 'warned', 'warning', 'warp', 'warped', 'wary', 'washed-out', 'waste', 'wasted', 'wasteful', 'wastefulness', 'wasting', 'water-down', 'watered-down', 'wayward', 'weak', 'weaken', 'weakening', 'weaker', 'weakness', 'weaknesses', 'weariness', 'wearisome', 'weary', 'wedge', 'weed', 'weep', 'weird', 'weirdly', 'wheedle', 'whimper', 'whine', 'whining', 'whiny', 'whips', 'whore', 'whores', 'wicked', 'wickedly', 'wickedness', 'wild', 'wildly', 'wiles', 'wilt', 'wily', 'wimpy', 'wince', 'wobble', 'wobbled', 'wobbles', 'woe', 'woebegone', 'woeful', 'woefully', 'womanizer', 'womanizing', 'worn', 'worried', 'worriedly', 'worrier', 'worries', 'worrisome', 'worry', 'worrying', 'worryingly', 'worse', 'worsen', 'worsening', 'worst', 'worthless', 'worthlessly', 'worthlessness', 'wound', 'wounds', 'wrangle', 'wrath', 'wreak', 'wreaked', 'wreaks', 'wreck', 'wrest', 'wrestle', 'wretch', 'wretched', 'wretchedly', 'wretchedness', 'wrinkle', 'wrinkled', 'wrinkles', 'wrip', 'wripped', 'wripping', 'writhe', 'wrong', 'wrongful', 'wrongly', 'wrought', 'yawn', 'zap', 'zapped', 'zaps', 'zealot', 'zealous', 'zealously', 'zombie']\n"
     ]
    }
   ],
   "source": [
    "with open(r'C:\\Users\\Shubh Pundir\\Pracitce Coding\\Projects\\Megaminds\\MasterDictionary\\negative-words.txt','r') as f:\n",
    "    neg = f.readlines()\n",
    "    neg = [x.replace('\\n','') for x in neg]\n",
    "    neg = [x for x in neg if x not in stopWords] \n",
    "print(neg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9743b053",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4779"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(neg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "39052aac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1988"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pos)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fd51b23",
   "metadata": {},
   "source": [
    "### Web Scraping using Beautiful Soup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7f4c4a54",
   "metadata": {},
   "outputs": [],
   "source": [
    "import bs4 as bs\n",
    "import requests\n",
    "import urllib.request"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "354fb7a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "75365aee",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_excel('Input.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e6823ba5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>URL_ID</th>\n",
       "      <th>URL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>https://insights.blackcoffer.com/ai-in-healthc...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38</td>\n",
       "      <td>https://insights.blackcoffer.com/what-if-the-c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39</td>\n",
       "      <td>https://insights.blackcoffer.com/what-jobs-wil...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40</td>\n",
       "      <td>https://insights.blackcoffer.com/will-machine-...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41</td>\n",
       "      <td>https://insights.blackcoffer.com/will-ai-repla...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   URL_ID                                                URL\n",
       "0      37  https://insights.blackcoffer.com/ai-in-healthc...\n",
       "1      38  https://insights.blackcoffer.com/what-if-the-c...\n",
       "2      39  https://insights.blackcoffer.com/what-jobs-wil...\n",
       "3      40  https://insights.blackcoffer.com/will-machine-...\n",
       "4      41  https://insights.blackcoffer.com/will-ai-repla..."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7d33c8df",
   "metadata": {},
   "outputs": [],
   "source": [
    "headers={\"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "334c5b89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "headers"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f77f509",
   "metadata": {},
   "source": [
    "### So according to our testing 3 websites seem to be 404"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e795c6fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "813c0194",
   "metadata": {},
   "outputs": [],
   "source": [
    "lemmatizer=WordNetLemmatizer()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a06d33a",
   "metadata": {},
   "source": [
    "#### Testing <Start>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9415f3bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://insights.blackcoffer.com/ai-in-healthcare-to-improve-patient-outcomes/'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "29d80f40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"Gates's\""
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "re.sub('[^a-zA-Z0-9\\']',' ',\"Gates's\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "aa90d9f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "introduction\n",
      " \n",
      "if\n",
      "anything\n",
      "kills\n",
      "over\n",
      "10\n",
      "million\n",
      "people\n",
      "in\n",
      "the\n",
      "next\n",
      "few\n",
      "decades\n",
      " \n",
      "it\n",
      "will\n",
      "be\n",
      "a\n",
      "highly\n",
      "infectious\n",
      "virus\n",
      "rather\n",
      "than\n",
      "a\n",
      "war\n",
      " \n",
      "not\n",
      "missiles\n",
      "but\n",
      "microbes \n",
      " \n",
      "bill\n",
      "gates\n",
      " \n",
      "s\n",
      "remarks\n",
      "at\n",
      "a\n",
      "ted\n",
      "conference\n",
      "in\n",
      "2014\n",
      " \n",
      "right\n",
      "after\n",
      "the\n",
      "world\n",
      "had\n",
      "avoided\n",
      "the\n",
      "ebola\n",
      "outbreak\n",
      " \n",
      "when\n",
      "the\n",
      "new\n",
      " \n",
      "unprecedented\n",
      " \n",
      "invisible\n",
      "virus\n",
      "hit\n",
      "us\n",
      " \n",
      "it\n",
      "met\n",
      "an\n",
      "overwhelmed\n",
      "and\n",
      "unprepared\n",
      "healthcare\n",
      "system\n",
      "and\n",
      "oblivious\n",
      "population\n",
      " \n",
      "this\n",
      "public\n",
      "health\n",
      "emergency\n",
      "demonstrated\n",
      "our\n",
      "lack\n",
      "of\n",
      "scientific\n",
      "consideration\n",
      "and\n",
      "underlined\n",
      "the\n",
      "alarming\n",
      "need\n",
      "for\n",
      "robust\n",
      "innovations\n",
      "in\n",
      "our\n",
      "health\n",
      "and\n",
      "medical\n",
      "facilities\n",
      " \n",
      "for\n",
      "the\n",
      "past\n",
      "few\n",
      "years\n",
      " \n",
      "artificial\n",
      "intelligence\n",
      "has\n",
      "proven\n",
      "to\n",
      "be\n",
      "of\n",
      "tangible\n",
      "potential\n",
      "in\n",
      "the\n",
      "healthcare\n",
      "sectors\n",
      " \n",
      "clinical\n",
      "practices\n",
      " \n",
      "translational\n",
      "medical\n",
      "and\n",
      "biomedical\n",
      "research\n",
      " \n",
      "after\n",
      "the\n",
      "first\n",
      "case\n",
      "was\n",
      "detected\n",
      "in\n",
      "china\n",
      "on\n",
      "december\n",
      "31st\n",
      "2019\n",
      " \n",
      "it\n",
      "was\n",
      "an\n",
      "ai\n",
      "program\n",
      "developed\n",
      "by\n",
      "bluedot\n",
      "that\n",
      "alerted\n",
      "the\n",
      "world\n",
      "about\n",
      "the\n",
      "pandemic\n",
      " \n",
      "it\n",
      "was\n",
      "quick\n",
      "to\n",
      "realise\n",
      "ai\n",
      " \n",
      "s\n",
      "ability\n",
      "to\n",
      "analyse\n",
      "large\n",
      "chunks\n",
      "of\n",
      "data\n",
      "could\n",
      "help\n",
      "in\n",
      "detecting\n",
      "patterns\n",
      "and\n",
      "identifying\n",
      "and\n",
      "tracking\n",
      "the\n",
      "possible\n",
      "carriers\n",
      "of\n",
      "the\n",
      "virus\n",
      " \n",
      "many\n",
      "tracing\n",
      "apps\n",
      "use\n",
      "ai\n",
      "to\n",
      "keep\n",
      "tabs\n",
      "on\n",
      "the\n",
      "people\n",
      "who\n",
      "have\n",
      "been\n",
      "infected\n",
      "and\n",
      "prevent\n",
      "the\n",
      "risk\n",
      "of\n",
      "cross infection\n",
      "by\n",
      "using\n",
      "ai\n",
      "algorithms\n",
      "that\n",
      "can\n",
      "track\n",
      "patterns\n",
      "and\n",
      "extract\n",
      "some\n",
      "features\n",
      "to\n",
      "classify\n",
      "or\n",
      "categorise\n",
      "them\n",
      " \n",
      "so\n",
      "how\n",
      "does\n",
      "ai\n",
      "do\n",
      "that\n",
      " \n",
      "ibm\n",
      "watson\n",
      " \n",
      "a\n",
      "sophisticated\n",
      "ai\n",
      "that\n",
      "works\n",
      "on\n",
      "cloud\n",
      "computing\n",
      "and\n",
      "natural\n",
      "language\n",
      "processing\n",
      " \n",
      "has\n",
      "prominently\n",
      "contributed\n",
      "to\n",
      "the\n",
      "healthcare\n",
      "sector\n",
      "on\n",
      "a\n",
      "global\n",
      "level\n",
      " \n",
      "being\n",
      "a\n",
      "conversational\n",
      "ai\n",
      " \n",
      "since\n",
      "2013\n",
      " \n",
      "watson\n",
      "has\n",
      "helped\n",
      "in\n",
      "recommending\n",
      "treatments\n",
      "to\n",
      "patients\n",
      "suffering\n",
      "from\n",
      "cancer\n",
      "to\n",
      "ensure\n",
      "that\n",
      "they\n",
      "get\n",
      "the\n",
      "best\n",
      "treatment\n",
      "at\n",
      "optimum\n",
      "costs\n",
      " \n",
      "researchers\n",
      "at\n",
      "google\n",
      "inc \n",
      "showed\n",
      "that\n",
      "an\n",
      "ai\n",
      "system\n",
      "can\n",
      "be\n",
      "trained\n",
      "on\n",
      "thousands\n",
      "of\n",
      "images\n",
      "to\n",
      "achieve\n",
      "physician level\n",
      "sensitivity\n",
      " \n",
      "by\n",
      "identifying\n",
      "the\n",
      "molecular\n",
      "patterns\n",
      "associated\n",
      "with\n",
      "disease\n",
      "status\n",
      "and\n",
      "its\n",
      "subtypes\n",
      " \n",
      "gene\n",
      "expression\n",
      " \n",
      "and\n",
      "protein\n",
      "abundance\n",
      "levels\n",
      " \n",
      "machine\n",
      "learning\n",
      "methods\n",
      "can\n",
      "detect\n",
      "fatal\n",
      "diseases\n",
      "like\n",
      "cancer\n",
      "at\n",
      "an\n",
      "early\n",
      "stage\n",
      " \n",
      "machine\n",
      "learning\n",
      " \n",
      "ml\n",
      " \n",
      "techniques\n",
      "focus\n",
      "mainly\n",
      "on\n",
      "analyzing\n",
      "structured\n",
      "data\n",
      " \n",
      "which\n",
      "can\n",
      "further\n",
      "help\n",
      "in\n",
      "clustering\n",
      "patients\n",
      " \n",
      "traits\n",
      "and\n",
      "infer\n",
      "the\n",
      "probability\n",
      "of\n",
      "disease\n",
      "outcomes\n",
      " \n",
      "since\n",
      "patient\n",
      "traits\n",
      "mainly\n",
      "include\n",
      "masses\n",
      "of\n",
      "data\n",
      "relating\n",
      "to\n",
      "age\n",
      " \n",
      "gender\n",
      " \n",
      "disease\n",
      "history\n",
      " \n",
      "disease specific\n",
      "data\n",
      "like\n",
      "diagnostic\n",
      "imaging\n",
      "and\n",
      "gene\n",
      "expressions\n",
      " \n",
      "etc\n",
      " \n",
      "ml\n",
      "can\n",
      "extract\n",
      "features\n",
      "from\n",
      "these\n",
      "data\n",
      "inputs\n",
      "by\n",
      "constructing\n",
      "data\n",
      "analytical\n",
      "algorithms\n",
      " \n",
      "ml\n",
      "algorithms\n",
      "are\n",
      "either\n",
      "supervised\n",
      "or\n",
      "unsupervised\n",
      " \n",
      "unsupervised\n",
      "learning\n",
      "helps\n",
      "in\n",
      "extracting\n",
      "features\n",
      "and\n",
      "clustering\n",
      "similar\n",
      "features\n",
      "together\n",
      "that\n",
      "further\n",
      "leads\n",
      "to\n",
      "early\n",
      "detection\n",
      "of\n",
      "diseases\n",
      " \n",
      "clustering\n",
      "and\n",
      "principal\n",
      "component\n",
      "analysis\n",
      "enable\n",
      "grouping\n",
      "or\n",
      "clustering\n",
      "of\n",
      "similar\n",
      "traits\n",
      "together\n",
      "that\n",
      "are\n",
      "further\n",
      "used\n",
      "to\n",
      "maximize\n",
      "or\n",
      "minimize\n",
      "the\n",
      "similarity\n",
      "between\n",
      "the\n",
      "patients\n",
      "within\n",
      "or\n",
      "between\n",
      "the\n",
      "clusters\n",
      " \n",
      "since\n",
      "patient\n",
      "traits\n",
      "are\n",
      "recorded\n",
      "in\n",
      "multiple\n",
      "dimensions\n",
      " \n",
      "such\n",
      "as\n",
      "genes\n",
      " \n",
      "principal\n",
      "component\n",
      "analysis\n",
      " \n",
      "pca\n",
      " \n",
      "creates\n",
      "the\n",
      "apparatus\n",
      "to\n",
      "reduce\n",
      "these\n",
      "dimensions\n",
      "which\n",
      "humans\n",
      "could\n",
      "have\n",
      "not\n",
      "done\n",
      "alone\n",
      " \n",
      "supervised\n",
      "learning\n",
      "considers\n",
      "the\n",
      "outcomes\n",
      "of\n",
      "the\n",
      "subjects\n",
      "together\n",
      "with\n",
      "the\n",
      "traits\n",
      " \n",
      "and\n",
      "further\n",
      "correlates\n",
      "the\n",
      "inputs\n",
      "with\n",
      "the\n",
      "outputs\n",
      "to\n",
      "predict\n",
      "the\n",
      "probability\n",
      "of\n",
      "getting\n",
      "a\n",
      "particular\n",
      "clinical\n",
      "event\n",
      " \n",
      "expected\n",
      "value\n",
      "of\n",
      "a\n",
      "disease\n",
      "level\n",
      "or\n",
      "expected\n",
      "survival\n",
      "time\n",
      " \n",
      "or\n",
      "risk\n",
      "of\n",
      "down\n",
      " \n",
      "s\n",
      "syndrome\n",
      " \n",
      "biomarker\n",
      "panels\n",
      "that\n",
      "are\n",
      "mostly\n",
      "used\n",
      "to\n",
      "detect\n",
      "ovarian\n",
      "cancer\n",
      " \n",
      "have\n",
      "outperformed\n",
      "the\n",
      "conventional\n",
      "statistical\n",
      "methods\n",
      "due\n",
      "to\n",
      "machine\n",
      "learning\n",
      " \n",
      "in\n",
      "addition\n",
      "to\n",
      "this\n",
      " \n",
      "the\n",
      "use\n",
      "of\n",
      "ehrs\n",
      "and\n",
      "bayesian\n",
      "networks\n",
      " \n",
      "which\n",
      "are\n",
      "a\n",
      "part\n",
      "of\n",
      "supervised\n",
      "machine\n",
      "learning\n",
      "algorithms\n",
      " \n",
      "can\n",
      "predict\n",
      "clinical\n",
      "outcomes\n",
      "and\n",
      "mortality\n",
      "respectively\n",
      " \n",
      "unstructured\n",
      "data\n",
      "such\n",
      "as\n",
      "clinical\n",
      "notes\n",
      "and\n",
      "texts\n",
      "are\n",
      "converted\n",
      "into\n",
      "machine readable\n",
      "structured\n",
      "data\n",
      "with\n",
      "the\n",
      "help\n",
      "of\n",
      "natural\n",
      "language\n",
      "processing\n",
      " \n",
      "nlp\n",
      " \n",
      " \n",
      "nlp\n",
      "works\n",
      "with\n",
      "two\n",
      "components\n",
      " \n",
      "text\n",
      "processing\n",
      "and\n",
      "classification\n",
      " \n",
      "text\n",
      "processing\n",
      "helps\n",
      "in\n",
      "identifying\n",
      "a\n",
      "series\n",
      "of\n",
      "disease relevant\n",
      "keywords\n",
      "in\n",
      "clinical\n",
      "notes\n",
      "and\n",
      "then\n",
      "through\n",
      "classification\n",
      "are\n",
      "further\n",
      "categorized\n",
      "into\n",
      "normal\n",
      "and\n",
      "abnormal\n",
      "cases\n",
      " \n",
      "chest\n",
      "screening\n",
      "through\n",
      "ml\n",
      "and\n",
      "nlp\n",
      "has\n",
      "helped\n",
      "find\n",
      "abnormalities\n",
      "in\n",
      "the\n",
      "lungs\n",
      "and\n",
      "provide\n",
      "treatment\n",
      "to\n",
      "covid\n",
      "patients\n",
      " \n",
      "healthcare\n",
      "organizations\n",
      "use\n",
      "nlp based\n",
      "chatbots\n",
      "to\n",
      "increase\n",
      "interactions\n",
      "with\n",
      "patients\n",
      " \n",
      "keeping\n",
      "their\n",
      "mental\n",
      "health\n",
      "and\n",
      "wellness\n",
      "in\n",
      "check\n",
      " \n",
      "deep\n",
      "learning\n",
      "is\n",
      "a\n",
      "modern\n",
      "extension\n",
      "of\n",
      "the\n",
      "classical\n",
      "neural\n",
      "network\n",
      "techniques\n",
      "which\n",
      "helps\n",
      "explore\n",
      "more\n",
      "complex\n",
      "non linear\n",
      "patterns\n",
      "in\n",
      "data\n",
      " \n",
      "using\n",
      "algorithms\n",
      "like\n",
      "convolution\n",
      "neural\n",
      "network\n",
      " \n",
      "recurrent\n",
      "neural\n",
      "network\n",
      " \n",
      "deep\n",
      "belief\n",
      "network\n",
      " \n",
      "and\n",
      "deep\n",
      "neural\n",
      "network\n",
      "which\n",
      "enables\n",
      "more\n",
      "accurate\n",
      "clinical\n",
      "prediction\n",
      " \n",
      "when\n",
      "it\n",
      "comes\n",
      "to\n",
      "genome\n",
      "interpretation\n",
      " \n",
      "deep\n",
      "neural\n",
      "networks\n",
      "surpass\n",
      "the\n",
      "conventional\n",
      "methods\n",
      "of\n",
      "logistics\n",
      "regression\n",
      "and\n",
      "support\n",
      "vector\n",
      "machines\n",
      " \n",
      "sepsis\n",
      "watch\n",
      "is\n",
      "an\n",
      "ai\n",
      "system\n",
      "trained\n",
      "in\n",
      "deep\n",
      "learning\n",
      "algorithms\n",
      "that\n",
      "holds\n",
      "the\n",
      "capability\n",
      "to\n",
      "analyze\n",
      "over\n",
      "32\n",
      "million\n",
      "data\n",
      "points\n",
      "to\n",
      "create\n",
      "a\n",
      "patient\n",
      " \n",
      "s\n",
      "risk\n",
      "score\n",
      "and\n",
      "identify\n",
      "the\n",
      "early\n",
      "stages\n",
      "of\n",
      "sepsis\n",
      " \n",
      "another\n",
      "method\n",
      "known\n",
      "as\n",
      "the\n",
      "learning based\n",
      "optimization\n",
      "of\n",
      "the\n",
      "under\n",
      "sampling\n",
      "pattern\n",
      " \n",
      "loupe\n",
      " \n",
      "is\n",
      "based\n",
      "on\n",
      "integrating\n",
      "full\n",
      "resolution\n",
      "mri\n",
      "scans\n",
      "with\n",
      "the\n",
      "convolutional\n",
      "neural\n",
      "network\n",
      "algorithm\n",
      " \n",
      "which\n",
      "helps\n",
      "in\n",
      "creating\n",
      "more\n",
      "accurate\n",
      "reconstructions\n",
      " \n",
      "robotic\n",
      "surgery\n",
      "is\n",
      "widely\n",
      "considered\n",
      "in\n",
      "most\n",
      "delicate\n",
      "surgeries\n",
      "like\n",
      "gynaecology\n",
      "and\n",
      "prostate\n",
      "surgery\n",
      " \n",
      "even\n",
      "after\n",
      "striking\n",
      "the\n",
      "right\n",
      "balance\n",
      "between\n",
      "human\n",
      "decisions\n",
      "and\n",
      "ai\n",
      "precision\n",
      " \n",
      "robotic\n",
      "surgery\n",
      "reduces\n",
      "surgeon\n",
      "efficiency\n",
      "as\n",
      "they\n",
      "have\n",
      "to\n",
      "be\n",
      "manually\n",
      "operated\n",
      "through\n",
      "a\n",
      "console\n",
      " \n",
      "thus\n",
      " \n",
      "autonomous\n",
      "robotic\n",
      "surgery\n",
      "is\n",
      "on\n",
      "the\n",
      "rise\n",
      "with\n",
      "inventions\n",
      "such\n",
      "as\n",
      "robotic\n",
      "silicon\n",
      "fingers\n",
      "that\n",
      "mimic\n",
      "the\n",
      "sense\n",
      "of\n",
      "touch\n",
      "that\n",
      "surgeons\n",
      "need\n",
      "to\n",
      "identify\n",
      "organs\n",
      " \n",
      "cut\n",
      "tissues\n",
      " \n",
      "etc \n",
      " \n",
      "or\n",
      "robotic\n",
      "catheters\n",
      "that\n",
      "can\n",
      "navigate\n",
      "whether\n",
      "it\n",
      "is\n",
      "touching\n",
      "blood\n",
      " \n",
      "tissue\n",
      " \n",
      "or\n",
      "valve\n",
      " \n",
      "researchers\n",
      "at\n",
      "children\n",
      " \n",
      "s\n",
      "national\n",
      "hospital\n",
      " \n",
      "washington\n",
      "have\n",
      "already\n",
      "developed\n",
      "an\n",
      "ai\n",
      "called\n",
      "smart\n",
      "tissue\n",
      "autonomous\n",
      "robot\n",
      " \n",
      "star\n",
      " \n",
      " \n",
      "which\n",
      "performs\n",
      "a\n",
      "colon\n",
      "anastomosis\n",
      "on\n",
      "its\n",
      "own\n",
      "with\n",
      "the\n",
      "help\n",
      "of\n",
      "an\n",
      "ml powered\n",
      "suturing\n",
      "tool\n",
      " \n",
      "that\n",
      "automatically\n",
      "detects\n",
      "the\n",
      "patient\n",
      " \n",
      "s\n",
      "breathing\n",
      "pattern\n",
      "to\n",
      "apply\n",
      "suture\n",
      "at\n",
      "the\n",
      "correct\n",
      "point\n",
      " \n",
      "cloud\n",
      "computing\n",
      "in\n",
      "healthcare\n",
      "has\n",
      "helped\n",
      "in\n",
      "retrieving\n",
      "and\n",
      "sharing\n",
      "medical\n",
      "records\n",
      "safely\n",
      "with\n",
      "a\n",
      "reduction\n",
      "in\n",
      "maintenance\n",
      "costs\n",
      " \n",
      "through\n",
      "this\n",
      "technology\n",
      "doctors\n",
      "and\n",
      "various\n",
      "healthcare\n",
      "workers\n",
      "have\n",
      "access\n",
      "to\n",
      "detailed\n",
      "patient\n",
      "data\n",
      "that\n",
      "helps\n",
      "in\n",
      "speeding\n",
      "up\n",
      "analysis\n",
      "ultimately\n",
      "leading\n",
      "to\n",
      "better\n",
      "care\n",
      "in\n",
      "the\n",
      "form\n",
      "of\n",
      "more\n",
      "accurate\n",
      "information\n",
      " \n",
      "medications\n",
      " \n",
      "and\n",
      "therapies\n",
      " \n",
      "how\n",
      "can\n",
      "it\n",
      "help\n",
      "in\n",
      "biomedical\n",
      "research\n",
      " \n",
      "since\n",
      "ai\n",
      "can\n",
      "analyze\n",
      "literature\n",
      "beyond\n",
      "readability\n",
      " \n",
      "it\n",
      "can\n",
      "be\n",
      "used\n",
      "to\n",
      "concise\n",
      "biomedical\n",
      "research\n",
      " \n",
      "with\n",
      "the\n",
      "help\n",
      "of\n",
      "ml\n",
      "algorithms\n",
      "and\n",
      "nlp\n",
      " \n",
      "ai\n",
      "can\n",
      "accelerate\n",
      "screening\n",
      "and\n",
      "indexing\n",
      "of\n",
      "biomedical\n",
      "research\n",
      " \n",
      "by\n",
      "ranking\n",
      "the\n",
      "literature\n",
      "of\n",
      "interest\n",
      "which\n",
      "allows\n",
      "researchers\n",
      "to\n",
      "formulate\n",
      "and\n",
      "test\n",
      "scientific\n",
      "hypotheses\n",
      "far\n",
      "more\n",
      "precisely\n",
      "and\n",
      "quickly\n",
      " \n",
      "taking\n",
      "it\n",
      "to\n",
      "the\n",
      "next\n",
      "level\n",
      " \n",
      "ai\n",
      "systems\n",
      "like\n",
      "the\n",
      "computational\n",
      "modelling\n",
      "assistant\n",
      " \n",
      "cma\n",
      " \n",
      "helps\n",
      "researchers\n",
      "to\n",
      "construct\n",
      "simulation\n",
      "models\n",
      "from\n",
      "the\n",
      "concepts\n",
      "they\n",
      "have\n",
      "in\n",
      "mind\n",
      " \n",
      "such\n",
      "innovations\n",
      "have\n",
      "majorly\n",
      "contributed\n",
      "to\n",
      "topics\n",
      "such\n",
      "as\n",
      "tumour\n",
      "suppressor\n",
      "mechanisms\n",
      "and\n",
      "protein protein\n",
      "interaction\n",
      "information\n",
      "extraction\n",
      " \n",
      "ai\n",
      "as\n",
      "precision\n",
      "medicine\n",
      "since\n",
      "precision\n",
      "medicine\n",
      "focuses\n",
      "on\n",
      "healthcare\n",
      "interventions\n",
      "to\n",
      "individuals\n",
      "or\n",
      "groups\n",
      "of\n",
      "patients\n",
      "based\n",
      "on\n",
      "their\n",
      "profile\n",
      " \n",
      "the\n",
      "various\n",
      "ai\n",
      "devices\n",
      "pave\n",
      "the\n",
      "way\n",
      "to\n",
      "practice\n",
      "it\n",
      "more\n",
      "efficiently\n",
      " \n",
      "with\n",
      "the\n",
      "help\n",
      "of\n",
      "ml\n",
      " \n",
      "complex\n",
      "algorithms\n",
      "like\n",
      "large\n",
      "datasets\n",
      "can\n",
      "be\n",
      "used\n",
      "to\n",
      "predict\n",
      "and\n",
      "create\n",
      "an\n",
      "optimal\n",
      "treatment\n",
      "strategy\n",
      " \n",
      "deep\n",
      "learning\n",
      "and\n",
      "neural\n",
      "networks\n",
      "can\n",
      "be\n",
      "used\n",
      "to\n",
      "process\n",
      "data\n",
      "in\n",
      "healthcare\n",
      "apps\n",
      "and\n",
      "keep\n",
      "a\n",
      "close\n",
      "watch\n",
      "on\n",
      "the\n",
      "patient\n",
      " \n",
      "s\n",
      "emotional\n",
      "state\n",
      " \n",
      "food\n",
      "intake\n",
      " \n",
      "or\n",
      "health\n",
      "monitoring\n",
      " \n",
      " \n",
      "omics\n",
      " \n",
      "refers\n",
      "to\n",
      "the\n",
      "collective\n",
      "technologies\n",
      "that\n",
      "help\n",
      "in\n",
      "exploring\n",
      "the\n",
      "roles\n",
      " \n",
      "relationships\n",
      "of\n",
      "various\n",
      "branches\n",
      "ending\n",
      "with\n",
      "the\n",
      "suffix\n",
      " \n",
      "omics\n",
      " \n",
      "such\n",
      "as\n",
      "genomics\n",
      " \n",
      "proteomics\n",
      " \n",
      "etc\n",
      " \n",
      "omics based\n",
      "tests\n",
      "based\n",
      "on\n",
      "machine\n",
      "learning\n",
      "algorithms\n",
      "help\n",
      "find\n",
      "correlations\n",
      "and\n",
      "predict\n",
      "treatment\n",
      "responses\n",
      " \n",
      "ultimately\n",
      "creating\n",
      "personalized\n",
      "treatments\n",
      "for\n",
      "individual\n",
      "patients\n",
      " \n",
      "how\n",
      "it\n",
      "helps\n",
      "in\n",
      "psychology\n",
      "and\n",
      "neuro\n",
      "patients\n",
      "for\n",
      "psychologists\n",
      "studying\n",
      "creativity\n",
      " \n",
      "ai\n",
      "is\n",
      "promising\n",
      "new\n",
      "classes\n",
      "of\n",
      "experiments\n",
      "that\n",
      "are\n",
      "developing\n",
      "data\n",
      "structures\n",
      "and\n",
      "programs\n",
      "and\n",
      "exploring\n",
      "novel\n",
      "theories\n",
      "on\n",
      "a\n",
      "new\n",
      "horizon\n",
      " \n",
      "studies\n",
      "show\n",
      "that\n",
      "ai\n",
      "can\n",
      "conduct\n",
      "therapy\n",
      "sessions\n",
      " \n",
      "e therapy\n",
      "sessions\n",
      " \n",
      "and\n",
      "assessments\n",
      "autonomously\n",
      " \n",
      "also\n",
      "assisting\n",
      "human\n",
      "practitioners\n",
      "before\n",
      " \n",
      "during\n",
      " \n",
      "or\n",
      "after\n",
      "sessions\n",
      " \n",
      "the\n",
      "detection\n",
      "and\n",
      "computational\n",
      "analysis\n",
      "of\n",
      "psychological\n",
      "signal\n",
      "project\n",
      "uses\n",
      "ml\n",
      " \n",
      "computer\n",
      "vision\n",
      " \n",
      "and\n",
      "nlp\n",
      "to\n",
      "analyze\n",
      "language\n",
      " \n",
      "physical\n",
      "gestures\n",
      " \n",
      "and\n",
      "social\n",
      "signals\n",
      "to\n",
      "identify\n",
      "cues\n",
      "for\n",
      "human\n",
      "distress\n",
      " \n",
      "this\n",
      "ground breaking\n",
      "technology\n",
      "assesses\n",
      "soldiers\n",
      "returning\n",
      "from\n",
      "combat\n",
      "and\n",
      "recognizes\n",
      "those\n",
      "who\n",
      "require\n",
      "further\n",
      "mental\n",
      "health\n",
      "support\n",
      " \n",
      "in\n",
      "the\n",
      "future\n",
      " \n",
      "it\n",
      "will\n",
      "combine\n",
      "data\n",
      "captured\n",
      "during\n",
      "face to face\n",
      "interviews\n",
      "with\n",
      "information\n",
      "on\n",
      "sleeping\n",
      " \n",
      "eating\n",
      " \n",
      "and\n",
      "online\n",
      "behaviours\n",
      "for\n",
      "a\n",
      "complete\n",
      "patient\n",
      "view\n",
      " \n",
      "stroke\n",
      "identification\n",
      "stroke\n",
      "is\n",
      "another\n",
      "frequently\n",
      "occurring\n",
      "disease\n",
      "that\n",
      "affects\n",
      "more\n",
      "than\n",
      "500\n",
      "million\n",
      "people\n",
      "worldwide\n",
      " \n",
      "thrombus\n",
      " \n",
      "in\n",
      "the\n",
      "vessel\n",
      "cerebral\n",
      "infarction\n",
      "is\n",
      "the\n",
      "major\n",
      " \n",
      "about\n",
      "85\n",
      " \n",
      " \n",
      "cause\n",
      "of\n",
      "stroke\n",
      "occurrence\n",
      " \n",
      "in\n",
      "recent\n",
      "years\n",
      " \n",
      "ai\n",
      "techniques\n",
      "have\n",
      "been\n",
      "used\n",
      "in\n",
      "numerous\n",
      "stroke related\n",
      "studies\n",
      "as\n",
      "early\n",
      "detection\n",
      "and\n",
      "timely\n",
      "treatment\n",
      "along\n",
      "with\n",
      "efficient\n",
      "outcome\n",
      "prediction\n",
      "can\n",
      "help\n",
      "solve\n",
      "the\n",
      "problem\n",
      " \n",
      "with\n",
      "ai\n",
      "at\n",
      "our\n",
      "disposal\n",
      " \n",
      "large\n",
      "amounts\n",
      "of\n",
      "data\n",
      "with\n",
      "rich\n",
      "information\n",
      " \n",
      "more\n",
      "complications\n",
      "and\n",
      "real life\n",
      "clinical\n",
      "questions\n",
      "can\n",
      "be\n",
      "addressed\n",
      "in\n",
      "this\n",
      "arena\n",
      " \n",
      "currently\n",
      " \n",
      "two\n",
      "ml\n",
      "algorithms \n",
      "genetic\n",
      "fuzzy\n",
      "finite\n",
      "state\n",
      "machine\n",
      "and\n",
      "pca\n",
      "were\n",
      "implemented\n",
      "to\n",
      "build\n",
      "a\n",
      "model\n",
      "building\n",
      "solution\n",
      " \n",
      "these\n",
      "include\n",
      "a\n",
      "human\n",
      "activity\n",
      "recognition\n",
      "stage\n",
      "and\n",
      "a\n",
      "stroke\n",
      "onset\n",
      "detection\n",
      "stage\n",
      " \n",
      "an\n",
      "alert\n",
      "stroke\n",
      "message\n",
      "is\n",
      "activated\n",
      "as\n",
      "soon\n",
      "as\n",
      "a\n",
      "movement\n",
      "significantly\n",
      "different\n",
      "from\n",
      "the\n",
      "normal\n",
      "pattern\n",
      "is\n",
      "recorded\n",
      " \n",
      "ml\n",
      "methods\n",
      "have\n",
      "been\n",
      "applied\n",
      "to\n",
      "neuroimaging\n",
      "data\n",
      "to\n",
      "assist\n",
      "disease\n",
      "evaluation\n",
      "and\n",
      "predicting\n",
      "stroke\n",
      "treatment\n",
      "for\n",
      "the\n",
      "diagnosis\n",
      " \n",
      "patient\n",
      "monitoring\n",
      "today\n",
      " \n",
      "the\n",
      "market\n",
      "for\n",
      "ai based\n",
      "patient\n",
      "monitoring\n",
      "is\n",
      "impressive\n",
      "and\n",
      "monetarily\n",
      "enticing\n",
      " \n",
      "it\n",
      "is\n",
      "evolving\n",
      "with\n",
      "artificial\n",
      "sensors\n",
      " \n",
      "smart\n",
      "technologies\n",
      "and\n",
      "explores\n",
      "everything\n",
      "from\n",
      "brain computer\n",
      "interfaces\n",
      "to\n",
      "nanorobotics\n",
      " \n",
      "companies\n",
      "with\n",
      "their\n",
      "smart watches\n",
      "have\n",
      "engaged\n",
      "people\n",
      "to\n",
      "perform\n",
      "remote\n",
      "monitoring\n",
      "even\n",
      "when\n",
      "they\n",
      "are\n",
      "not\n",
      " \n",
      "patients\n",
      " \n",
      " \n",
      "an\n",
      "obvious\n",
      "place\n",
      "to\n",
      "start\n",
      "is\n",
      "with\n",
      "wearable\n",
      "and\n",
      "embedded\n",
      "sensors\n",
      " \n",
      "glucose\n",
      "monitors\n",
      " \n",
      "pulse\n",
      "monitors\n",
      " \n",
      "oximeters\n",
      " \n",
      "and\n",
      "ecg\n",
      "monitors\n",
      " \n",
      "with\n",
      "patient\n",
      "monitoring\n",
      "becoming\n",
      "crucial\n",
      " \n",
      "ai\n",
      "finds\n",
      "numerous\n",
      "applications\n",
      "in\n",
      "chronic\n",
      "conditions\n",
      " \n",
      "intensive\n",
      "care\n",
      "units\n",
      " \n",
      "operating\n",
      "rooms\n",
      " \n",
      "emergency\n",
      "rooms\n",
      " \n",
      "and\n",
      "cardiac\n",
      "wards\n",
      "where\n",
      "timeless\n",
      "clinical\n",
      "decision making\n",
      "can\n",
      "be\n",
      "measured\n",
      "in\n",
      "seconds\n",
      " \n",
      "more\n",
      "advances\n",
      "have\n",
      "started\n",
      "to\n",
      "gain\n",
      "traction\n",
      "like\n",
      "smart\n",
      "prosthetics\n",
      "and\n",
      "implants\n",
      " \n",
      "these\n",
      "play\n",
      "an\n",
      "impeccable\n",
      "role\n",
      "in\n",
      "patient\n",
      "management\n",
      "post surgery\n",
      "or\n",
      "rehabilitation\n",
      " \n",
      "demographics\n",
      " \n",
      "laboratory\n",
      "results\n",
      "and\n",
      "vital\n",
      "signs\n",
      "can\n",
      "also\n",
      "be\n",
      "used\n",
      "to\n",
      "predict\n",
      "cardiac\n",
      "arrest\n",
      " \n",
      "transfer\n",
      "into\n",
      "the\n",
      "intensive\n",
      "care\n",
      "unit\n",
      " \n",
      "or\n",
      "even\n",
      "death\n",
      " \n",
      "in\n",
      "addition\n",
      " \n",
      "an\n",
      "interpretable\n",
      "machine learning\n",
      "model\n",
      "can\n",
      "assist\n",
      "anesthesiologists\n",
      "in\n",
      "predicting\n",
      "hypoxaemia\n",
      "events\n",
      "during\n",
      "surgery\n",
      " \n",
      "this\n",
      "suggests\n",
      "that\n",
      "with\n",
      "deep learning\n",
      "algorithms\n",
      " \n",
      "raw\n",
      "patient monitoring\n",
      "data\n",
      "could\n",
      "be\n",
      "better\n",
      "used\n",
      "to\n",
      "avoid\n",
      "information\n",
      "overload\n",
      "and\n",
      "alert\n",
      "overload\n",
      "while\n",
      "enabling\n",
      "more\n",
      "accurate\n",
      "clinical\n",
      "prediction\n",
      "and\n",
      "timely\n",
      "decision making\n",
      " \n",
      "conclusion\n",
      "considering\n",
      "the\n",
      "vast\n",
      "range\n",
      "of\n",
      "tasks\n",
      "that\n",
      "an\n",
      "ai\n",
      "can\n",
      "do\n",
      " \n",
      "it\n",
      "is\n",
      "evident\n",
      "that\n",
      "it\n",
      "holds\n",
      "deep\n",
      "potential\n",
      "in\n",
      "improving\n",
      "patient\n",
      "outcomes\n",
      "to\n",
      "skyrocketing\n",
      "levels\n",
      " \n",
      "using\n",
      "sophisticated\n",
      "algorithms\n",
      "ai\n",
      "can\n",
      "bring\n",
      "a\n",
      "revolution\n",
      "in\n",
      "the\n",
      "healthcare\n",
      "sector\n",
      " \n",
      "even\n",
      "after\n",
      "facing\n",
      "challenges\n",
      "like\n",
      "whether\n",
      "the\n",
      "technology\n",
      "will\n",
      "be\n",
      "able\n",
      "to\n",
      "deliver\n",
      "the\n",
      "promises\n",
      " \n",
      "ethical\n",
      "measures\n",
      " \n",
      "training\n",
      "physicians\n",
      "to\n",
      "use\n",
      "it\n",
      " \n",
      "standard\n",
      "regulations\n",
      "etc\n",
      " \n",
      "the\n",
      "role\n",
      "of\n",
      "ai\n",
      "in\n",
      "transforming\n",
      "the\n",
      "clinical\n",
      "practices\n",
      "can\n",
      "not\n",
      "be\n",
      "ignored\n",
      " \n",
      "the\n",
      "biggest\n",
      "challenge\n",
      "is\n",
      "the\n",
      "integration\n",
      "of\n",
      "ai\n",
      "in\n",
      "daily\n",
      "practice\n",
      " \n",
      "all\n",
      "of\n",
      "these\n",
      "can\n",
      "be\n",
      "overcome\n",
      "and\n",
      "within\n",
      "that\n",
      "period\n",
      "the\n",
      "technologies\n",
      "will\n",
      "mature\n",
      "making\n",
      "the\n",
      "system\n",
      "far\n",
      "more\n",
      "enhanced\n",
      "and\n",
      "effective\n",
      " \n"
     ]
    }
   ],
   "source": [
    "source = urllib.request.urlopen(df.iloc[0,1]).read()\n",
    "soup = bs.BeautifulSoup(source,'lxml')\n",
    "for para in soup.find_all('p',class_=''):\n",
    "        for word in word_tokenize(para.text):\n",
    "            rev=re.sub(\"[^a-zA-Z0-9\\']\",' ',word)\n",
    "            rev=rev.lower()\n",
    "            print(rev)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "881500d4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' to begin explain big data important lives  big data simply data  huge size  data voluminous growing exponentially time  such data set large complex store process traditional data management tools  so  huge data be  social medium site facebook generate 500 terabyte data day form photos  video uploads  text messages  etc  a single jet engine generate 10 terabyte data 30 minute flight time  with thousand flight day  generation data reach petabytes  data contained set structured  it semi structured unstructured  when size dimension data imagine complicated process analyze it  therefore  modern method data analysis developed process information contained big data sets  now coming opportunity big data provides  limited healthcare  big data analysis disruptive technology intervened numerous field proved worth  healthcare exception  big data potential change entire dynamic healthcare industry improve quality life people  healthcare industry large complicated system  it involves lot risk demand care  however  large number patient seek emergency care complication cost rise exponentially  in india  times  lack sufficient infrastructure support patients  deficit bed doctor provide treatment patients  for instance  epidemic break life lost alarming rate  easily gauge helplessness  however  scenario improving now  with advent digitization healthcare system  healthcare provider practitioner access huge amount patient health data  this healthcare big data processed analyzed identify patient pattern quickly effectively  the information obtained extremely figure chronic health issue provide preventive treatment plan curb disease disorder occurring  this method predictive analysis crucial benefit big data healthcare  this technology healthcare industry way infer  healthcare organization implemented predictive analysis witnessed reduction er visit providing support care patient decreasing emergency situations  apart reduced er visit timely treatment  benefit big data predictive analysis  patient high risk life threatening issue provided customized treatment facilities  due lack data  exists lack proper planning hospitals  under over booking staff  lack medical equipment  medicines  facility result inefficient budgeting ill management finances  using predictive analysis problem solved lead reduced cost efficient management finances  better staff allocation admission rate prediction facilitate improvement daily operation healthcare organizations  by big data effect recency bias reduced well  when give importance recent event tend ignore effect older ones  lead incorrect decisions  this recency bias  big data help preventing fraudulent activity turn prevents loss insurance companies  while changing healthcare industry better  easy reap benefit big data  there lot challenge vulnerability attached implementation  one biggest challenge security  healthcare big data personal information health history patients  act hacking  cyber theft phishing pose threat databases  such data stolen sold huge sum money  protection patients  privacy challenge big data implementation  also  data external data medical information  the organization  therefore  care privacy  legal compliances  government policies  privacy security patient utmost importance breach kind permitted  the challenge data classification modeling  the size data massive structured heterogeneous  classifying massive data identify relevant information big challenge  modeling unstructured data equally difficult  storage retrieval major challenge  huge cloud server sufficient space required store voluminous data  also  speed high uploading data hassle free  the storage challenge  retrieval matter concern  integrating data relevant system link tough job  the challenge major opinion  finding talent expertise implement modern technology arduous task  shortage required talent crisis market today  even hiring talent challenge retain them  scarce resource data scientist hard find harder retain  they easily poached competitors  a good efficient compensation strategy  conducive work environment  high incentives  opportunity career growth development way retaining intellectual talent  in nutshell  conclude big data disruptive technology bring landmark healthcare dynamics  challenge vulnerability addressed utmost care sense responsibility '"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corpus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ad2796c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'In a nutshell, we can conclude that while big data is a disruptive technology which will bring about landmark changes in healthcare dynamics, the challenges and vulnerabilities need to be addressed with the utmost care and sense of responsibility.'"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "para.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "1d15e825",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['In',\n",
       " 'a',\n",
       " 'nutshell',\n",
       " ',',\n",
       " 'we',\n",
       " 'can',\n",
       " 'conclude',\n",
       " 'that',\n",
       " 'while',\n",
       " 'big',\n",
       " 'data',\n",
       " 'is',\n",
       " 'a',\n",
       " 'disruptive',\n",
       " 'technology',\n",
       " 'which',\n",
       " 'will',\n",
       " 'bring',\n",
       " 'about',\n",
       " 'landmark',\n",
       " 'changes',\n",
       " 'in',\n",
       " 'healthcare',\n",
       " 'dynamics',\n",
       " ',',\n",
       " 'the',\n",
       " 'challenges',\n",
       " 'and',\n",
       " 'vulnerabilities',\n",
       " 'need',\n",
       " 'to',\n",
       " 'be',\n",
       " 'addressed',\n",
       " 'with',\n",
       " 'the',\n",
       " 'utmost',\n",
       " 'care',\n",
       " 'and',\n",
       " 'sense',\n",
       " 'of',\n",
       " 'responsibility',\n",
       " '.']"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_tokenize(para.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "bf432c93",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://insights.blackcoffer.com/ai-in-healthcare-to-improve-patient-outcomes/'\n",
    "r = requests.get(url)\n",
    "soup=bs.BeautifulSoup(r.content,'lxml')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acfd7199",
   "metadata": {},
   "source": [
    "#### Testing <End>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bafaf79a",
   "metadata": {},
   "source": [
    "### Making Raw Corpus and Stop Words + Punctuations filtered Corpus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2a6e5cfd",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scraping Text from https://insights.blackcoffer.com/ai-in-healthcare-to-improve-patient-outcomes/ of index 0\n",
      "Scraping Text from https://insights.blackcoffer.com/what-if-the-creation-is-taking-over-the-creator/ of index 1\n",
      "Scraping Text from https://insights.blackcoffer.com/what-jobs-will-robots-take-from-humans-in-the-future/ of index 2\n",
      "Scraping Text from https://insights.blackcoffer.com/will-machine-replace-the-human-in-the-future-of-work/ of index 3\n",
      "Scraping Text from https://insights.blackcoffer.com/will-ai-replace-us-or-work-with-us/ of index 4\n",
      "Scraping Text from https://insights.blackcoffer.com/man-and-machines-together-machines-are-more-diligent-than-humans-blackcoffe/ of index 5\n",
      "Scraping Text from https://insights.blackcoffer.com/in-future-or-in-upcoming-years-humans-and-machines-are-going-to-work-together-in-every-field-of-work/ of index 6\n",
      "URL https://insights.blackcoffer.com/how-neural-networks-can-be-applied-in-various-areas-in-the-future/ of index 7 does not exist, error 404\n",
      "Scraping Text from https://insights.blackcoffer.com/how-machine-learning-will-affect-your-business/ of index 8\n",
      "Scraping Text from https://insights.blackcoffer.com/deep-learning-impact-on-areas-of-e-learning/ of index 9\n",
      "Scraping Text from https://insights.blackcoffer.com/how-to-protect-future-data-and-its-privacy-blackcoffer/ of index 10\n",
      "Scraping Text from https://insights.blackcoffer.com/how-machines-ai-automations-and-robo-human-are-effective-in-finance-and-banking/ of index 11\n",
      "Scraping Text from https://insights.blackcoffer.com/ai-human-robotics-machine-future-planet-blackcoffer-thinking-jobs-workplace/ of index 12\n",
      "Scraping Text from https://insights.blackcoffer.com/how-ai-will-change-the-world-blackcoffer/ of index 13\n",
      "Scraping Text from https://insights.blackcoffer.com/future-of-work-how-ai-has-entered-the-workplace/ of index 14\n",
      "Scraping Text from https://insights.blackcoffer.com/ai-tool-alexa-google-assistant-finance-banking-tool-future/ of index 15\n",
      "Scraping Text from https://insights.blackcoffer.com/ai-healthcare-revolution-ml-technology-algorithm-google-analytics-industrialrevolution/ of index 16\n",
      "Scraping Text from https://insights.blackcoffer.com/all-you-need-to-know-about-online-marketing/ of index 17\n",
      "Scraping Text from https://insights.blackcoffer.com/evolution-of-advertising-industry/ of index 18\n",
      "Scraping Text from https://insights.blackcoffer.com/how-data-analytics-can-help-your-business-respond-to-the-impact-of-covid-19/ of index 19\n",
      "URL https://insights.blackcoffer.com/covid-19-environmental-impact-for-the-future/ of index 20 does not exist, error 404\n",
      "Scraping Text from https://insights.blackcoffer.com/environmental-impact-of-the-covid-19-pandemic-lesson-for-the-future/ of index 21\n",
      "Scraping Text from https://insights.blackcoffer.com/how-data-analytics-and-ai-are-used-to-halt-the-covid-19-pandemic/ of index 22\n",
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      "Scraping Text from https://insights.blackcoffer.com/how-google-fit-measure-heart-and-respiratory-rates-using-a-phone/ of index 25\n",
      "Scraping Text from https://insights.blackcoffer.com/what-is-the-future-of-mobile-apps/ of index 26\n",
      "Scraping Text from https://insights.blackcoffer.com/impact-of-ai-in-health-and-medicine/ of index 27\n",
      "Scraping Text from https://insights.blackcoffer.com/telemedicine-what-patients-like-and-dislike-about-it/ of index 28\n",
      "Scraping Text from https://insights.blackcoffer.com/how-we-forecast-future-technologies/ of index 29\n",
      "Scraping Text from https://insights.blackcoffer.com/can-robots-tackle-late-life-loneliness/ of index 30\n",
      "Scraping Text from https://insights.blackcoffer.com/embedding-care-robots-into-society-socio-technical-considerations/ of index 31\n",
      "Scraping Text from https://insights.blackcoffer.com/management-challenges-for-future-digitalization-of-healthcare-services/ of index 32\n",
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      "Scraping Text from https://insights.blackcoffer.com/will-we-ever-understand-the-nature-of-consciousness/ of index 35\n",
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      "Scraping Text from https://insights.blackcoffer.com/what-is-the-chance-homo-sapiens-will-survive-for-the-next-500-years/ of index 37\n",
      "Scraping Text from https://insights.blackcoffer.com/why-does-your-business-need-a-chatbot/ of index 38\n",
      "Scraping Text from https://insights.blackcoffer.com/how-you-lead-a-project-or-a-team-without-any-technical-expertise/ of index 39\n",
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      "Scraping Text from https://insights.blackcoffer.com/how-to-overcome-your-fear-of-making-mistakes-2/ of index 42\n",
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      "Scraping Text from https://insights.blackcoffer.com/global-financial-crisis-2008-causes-effects-and-its-solution/ of index 44\n",
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      "Scraping Text from https://insights.blackcoffer.com/human-rights-outlook/ of index 54\n",
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      "Scraping Text from https://insights.blackcoffer.com/covid-19-how-have-countries-been-responding/ of index 73\n",
      "Scraping Text from https://insights.blackcoffer.com/coronavirus-impact-on-the-hospitality-industry-2/ of index 74\n",
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      "Scraping Text from https://insights.blackcoffer.com/coronavirus-impact-on-the-hospitality-industry-3/ of index 76\n",
      "Scraping Text from https://insights.blackcoffer.com/estimating-the-impact-of-covid-19-on-the-world-of-work/ of index 77\n",
      "Scraping Text from https://insights.blackcoffer.com/covid-19-how-have-countries-been-responding-2/ of index 78\n",
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      "Scraping Text from https://insights.blackcoffer.com/business-analytics-in-the-healthcare-industry/ of index 112\n",
      "Scraping Text from https://insights.blackcoffer.com/challenges-and-opportunities-of-big-data-in-healthcare/ of index 113\n"
     ]
    }
   ],
   "source": [
    "rawCorp=[]\n",
    "listCorp=[]\n",
    "for ind,url in enumerate(df['URL']):\n",
    "    \n",
    "    r = requests.get(url,headers=headers)\n",
    "    if r.status_code == 404:\n",
    "        print(f'URL {url} of index {ind} does not exist, error 404')\n",
    "        listCorp.append(' ')\n",
    "        rawCorp.append(' ')\n",
    "        continue\n",
    "    else:\n",
    "        print(f'Scraping Text from {url} of index {ind}')\n",
    "    \n",
    "#     print(f'URL: {url}')\n",
    "#     print(f'Index: {ind}')\n",
    "    \n",
    "    \n",
    "    soup = bs.BeautifulSoup(r.content,'lxml')\n",
    "    raw=''\n",
    "    corpus=''\n",
    "#     print('CORPUS: ')\n",
    "#     print(corpus)\n",
    "#     print('-'*87)\n",
    "    for para in soup.find_all('p',class_=''):\n",
    "        for word in word_tokenize(para.text):\n",
    "            raw = raw +' '+ word.lower()\n",
    "            if word not in stopWords:\n",
    "                rev=re.sub(\"[^a-zA-Z0-9\\']\",' ',word)\n",
    "                rev=rev.lower()\n",
    "                rev=lemmatizer.lemmatize(rev)\n",
    "                corpus=corpus+' '+rev\n",
    "#     print('-'*87)\n",
    "#     print('CORPUS: ')\n",
    "#     print(corpus)\n",
    "    listCorp.append(corpus)\n",
    "    rawCorp.append(raw)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0f0ed69e",
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       "     URL_ID                                                URL  \\\n",
       "0        37  https://insights.blackcoffer.com/ai-in-healthc...   \n",
       "1        38  https://insights.blackcoffer.com/what-if-the-c...   \n",
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       "..      ...                                                ...   \n",
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       "113     150  https://insights.blackcoffer.com/challenges-an...   \n",
       "\n",
       "                                         CleanedCorpus  \\\n",
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       "1     human mind   fascination carrying potential t...   \n",
       "2     introduction rapidly evolving employment sect...   \n",
       "3       anything give rise smarter than human intel...   \n",
       "4       machine intelligence invention humanity mak...   \n",
       "..                                                 ...   \n",
       "109   reconciling financial reality mba education l...   \n",
       "110   an investment resource thing procured objecti...   \n",
       "111   quality affordable healthcare vision governme...   \n",
       "112   analytics statistical scientific process disc...   \n",
       "113   to begin explain big data important life   bi...   \n",
       "\n",
       "                                             RawCorpus  \n",
       "0     introduction “ if anything kills over 10 mill...  \n",
       "1     human minds , a fascination in itself carryin...  \n",
       "2     introduction ai is rapidly evolving in the em...  \n",
       "3     “ anything that could give rise to smarter-th...  \n",
       "4     “ machine intelligence is the last invention ...  \n",
       "..                                                 ...  \n",
       "109   reconciling with the financial realities of a...  \n",
       "110   an investment is a resource or thing procured...  \n",
       "111   quality and affordable healthcare is a vision...  \n",
       "112   analytics is a statistical scientific process...  \n",
       "113   to begin with i shall first like to explain w...  \n",
       "\n",
       "[114 rows x 4 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['CleanedCorpus']=listCorp\n",
    "df['RawCorpus']=rawCorp\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3e7785cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>URL_ID</th>\n",
       "      <th>URL</th>\n",
       "      <th>CleanedCorpus</th>\n",
       "      <th>RawCorpus</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>https://insights.blackcoffer.com/ai-in-healthc...</td>\n",
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       "      <td>introduction “ if anything kills over 10 mill...</td>\n",
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       "      <td>human mind   fascination carrying potential t...</td>\n",
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       "      <td>39</td>\n",
       "      <td>https://insights.blackcoffer.com/what-jobs-wil...</td>\n",
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       "      <td>https://insights.blackcoffer.com/will-machine-...</td>\n",
       "      <td>anything give rise smarter than human intel...</td>\n",
       "      <td>“ anything that could give rise to smarter-th...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41</td>\n",
       "      <td>https://insights.blackcoffer.com/will-ai-repla...</td>\n",
       "      <td>machine intelligence invention humanity mak...</td>\n",
       "      <td>“ machine intelligence is the last invention ...</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>42</td>\n",
       "      <td>https://insights.blackcoffer.com/man-and-machi...</td>\n",
       "      <td>where disruptive technology taking   take lea...</td>\n",
       "      <td>where is this disruptive technology taking us...</td>\n",
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       "      <th>6</th>\n",
       "      <td>43</td>\n",
       "      <td>https://insights.blackcoffer.com/in-future-or-...</td>\n",
       "      <td>in future upcoming year human machine work fi...</td>\n",
       "      <td>in future or in upcoming years humans and mac...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>44</td>\n",
       "      <td>https://insights.blackcoffer.com/how-neural-ne...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>45</td>\n",
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       "      <th>9</th>\n",
       "      <td>46</td>\n",
       "      <td>https://insights.blackcoffer.com/deep-learning...</td>\n",
       "      <td>elearning technology affordable higher educat...</td>\n",
       "      <td>elearning as technology becomes more affordab...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   URL_ID                                                URL  \\\n",
       "0      37  https://insights.blackcoffer.com/ai-in-healthc...   \n",
       "1      38  https://insights.blackcoffer.com/what-if-the-c...   \n",
       "2      39  https://insights.blackcoffer.com/what-jobs-wil...   \n",
       "3      40  https://insights.blackcoffer.com/will-machine-...   \n",
       "4      41  https://insights.blackcoffer.com/will-ai-repla...   \n",
       "5      42  https://insights.blackcoffer.com/man-and-machi...   \n",
       "6      43  https://insights.blackcoffer.com/in-future-or-...   \n",
       "7      44  https://insights.blackcoffer.com/how-neural-ne...   \n",
       "8      45  https://insights.blackcoffer.com/how-machine-l...   \n",
       "9      46  https://insights.blackcoffer.com/deep-learning...   \n",
       "\n",
       "                                       CleanedCorpus  \\\n",
       "0   introduction   if kill 10 million people deca...   \n",
       "1   human mind   fascination carrying potential t...   \n",
       "2   introduction rapidly evolving employment sect...   \n",
       "3     anything give rise smarter than human intel...   \n",
       "4     machine intelligence invention humanity mak...   \n",
       "5   where disruptive technology taking   take lea...   \n",
       "6   in future upcoming year human machine work fi...   \n",
       "7                                                      \n",
       "8   machine learning technique year   recently ex...   \n",
       "9   elearning technology affordable higher educat...   \n",
       "\n",
       "                                           RawCorpus  \n",
       "0   introduction “ if anything kills over 10 mill...  \n",
       "1   human minds , a fascination in itself carryin...  \n",
       "2   introduction ai is rapidly evolving in the em...  \n",
       "3   “ anything that could give rise to smarter-th...  \n",
       "4   “ machine intelligence is the last invention ...  \n",
       "5   where is this disruptive technology taking us...  \n",
       "6   in future or in upcoming years humans and mac...  \n",
       "7                                                     \n",
       "8   machine learning techniques may have been use...  \n",
       "9   elearning as technology becomes more affordab...  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "e642f739",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8    https://insights.blackcoffer.com/how-machine-l...\n",
       "Name: URL, dtype: object"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['URL_ID']==45].URL"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f5ef501",
   "metadata": {},
   "source": [
    "### Extracting Derived Variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "23317cc8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Positive Score: 80\n",
      "Negative Score: 37\n",
      "Polarity Score: 0.3675213643801593\n",
      "Subjectivity Score: 0.2138939667022048\n",
      "Positive Score: 76\n",
      "Negative Score: 38\n",
      "Polarity Score: 0.33333333040935675\n",
      "Subjectivity Score: 0.2084095060175329\n",
      "Positive Score: 68\n",
      "Negative Score: 42\n",
      "Polarity Score: 0.23636363421487605\n",
      "Subjectivity Score: 0.20109689177130366\n",
      "Positive Score: 67\n",
      "Negative Score: 31\n",
      "Polarity Score: 0.3673469350270721\n",
      "Subjectivity Score: 0.179159049032616\n",
      "Positive Score: 65\n",
      "Negative Score: 27\n",
      "Polarity Score: 0.4130434737712666\n",
      "Subjectivity Score: 0.16819012766327215\n",
      "Positive Score: 45\n",
      "Negative Score: 25\n",
      "Polarity Score: 0.2857142816326531\n",
      "Subjectivity Score: 0.12797074930901142\n",
      "Positive Score: 20\n",
      "Negative Score: 7\n",
      "Polarity Score: 0.48148146364883465\n",
      "Subjectivity Score: 0.049360146162047265\n",
      "Positive Score: 0\n",
      "Negative Score: 0\n",
      "Polarity Score: 0.0\n",
      "Subjectivity Score: 0.0\n",
      "Positive Score: 38\n",
      "Negative Score: 14\n",
      "Polarity Score: 0.4615384526627221\n",
      "Subjectivity Score: 0.09506398520097992\n",
      "Positive Score: 75\n",
      "Negative Score: 45\n",
      "Polarity Score: 0.2499999979166667\n",
      "Subjectivity Score: 0.21937842738687674\n",
      "Positive Score: 46\n",
      "Negative Score: 72\n",
      "Polarity Score: -0.22033898118356796\n",
      "Subjectivity Score: 0.2157221202637621\n",
      "Positive Score: 37\n",
      "Negative Score: 24\n",
      "Polarity Score: 0.21311475060467622\n",
      "Subjectivity Score: 0.11151736725499567\n",
      "Positive Score: 39\n",
      "Negative Score: 31\n",
      "Polarity Score: 0.11428571265306126\n",
      "Subjectivity Score: 0.12797074930901142\n",
      "Positive Score: 68\n",
      "Negative Score: 26\n",
      "Polarity Score: 0.4468085058850159\n",
      "Subjectivity Score: 0.17184643478638678\n",
      "Positive Score: 72\n",
      "Negative Score: 22\n",
      "Polarity Score: 0.5319148879583523\n",
      "Subjectivity Score: 0.17184643478638678\n",
      "Positive Score: 27\n",
      "Negative Score: 0\n",
      "Polarity Score: 0.9999999629629643\n",
      "Subjectivity Score: 0.049360146162047265\n",
      "Positive Score: 86\n",
      "Negative Score: 39\n",
      "Polarity Score: 0.37599999699200004\n",
      "Subjectivity Score: 0.22851919519466327\n",
      "Positive Score: 24\n",
      "Negative Score: 0\n",
      "Polarity Score: 0.999999958333335\n",
      "Subjectivity Score: 0.043875685477375345\n",
      "Positive Score: 17\n",
      "Negative Score: 6\n",
      "Polarity Score: 0.4782608487712674\n",
      "Subjectivity Score: 0.04204753191581804\n",
      "Positive Score: 0\n",
      "Negative Score: 3\n",
      "Polarity Score: -0.9999996666667778\n",
      "Subjectivity Score: 0.005484460684671918\n",
      "Positive Score: 0\n",
      "Negative Score: 0\n",
      "Polarity Score: 0.0\n",
      "Subjectivity Score: 0.0\n",
      "Positive Score: 25\n",
      "Negative Score: 80\n",
      "Polarity Score: -0.5238095188208617\n",
      "Subjectivity Score: 0.19195612396351713\n",
      "Positive Score: 17\n",
      "Negative Score: 16\n",
      "Polarity Score: 0.030303029384756687\n",
      "Subjectivity Score: 0.060329067531391105\n",
      "Positive Score: 57\n",
      "Negative Score: 43\n",
      "Polarity Score: 0.1399999986\n",
      "Subjectivity Score: 0.1828153561557306\n",
      "Positive Score: 40\n",
      "Negative Score: 4\n",
      "Polarity Score: 0.8181817995867773\n",
      "Subjectivity Score: 0.08043875670852146\n",
      "Positive Score: 4\n",
      "Negative Score: 2\n",
      "Polarity Score: 0.33333327777778704\n",
      "Subjectivity Score: 0.010968921369343836\n",
      "Positive Score: 25\n",
      "Negative Score: 8\n",
      "Polarity Score: 0.5151514995408637\n",
      "Subjectivity Score: 0.060329067531391105\n",
      "Positive Score: 15\n",
      "Negative Score: 8\n",
      "Polarity Score: 0.3043478128544429\n",
      "Subjectivity Score: 0.04204753191581804\n",
      "Positive Score: 26\n",
      "Negative Score: 8\n",
      "Polarity Score: 0.5294117491349486\n",
      "Subjectivity Score: 0.062157221092948405\n",
      "Positive Score: 5\n",
      "Negative Score: 0\n",
      "Polarity Score: 0.99999980000004\n",
      "Subjectivity Score: 0.009140767807786531\n",
      "Positive Score: 24\n",
      "Negative Score: 37\n",
      "Polarity Score: -0.21311475060467622\n",
      "Subjectivity Score: 0.11151736725499567\n",
      "Positive Score: 9\n",
      "Negative Score: 3\n",
      "Polarity Score: 0.4999999583333368\n",
      "Subjectivity Score: 0.021937842738687673\n",
      "Positive Score: 44\n",
      "Negative Score: 12\n",
      "Polarity Score: 0.57142856122449\n",
      "Subjectivity Score: 0.10237659944720914\n",
      "Positive Score: 1\n",
      "Negative Score: 7\n",
      "Polarity Score: -0.7499999062500118\n",
      "Subjectivity Score: 0.01462522849245845\n",
      "Positive Score: 9\n",
      "Negative Score: 25\n",
      "Polarity Score: -0.47058822145328766\n",
      "Subjectivity Score: 0.062157221092948405\n",
      "Positive Score: 28\n",
      "Negative Score: 54\n",
      "Polarity Score: -0.3170731668649614\n",
      "Subjectivity Score: 0.1499085920476991\n",
      "Positive Score: 43\n",
      "Negative Score: 23\n",
      "Polarity Score: 0.30303029843893486\n",
      "Subjectivity Score: 0.12065813506278221\n",
      "Positive Score: 40\n",
      "Negative Score: 36\n",
      "Polarity Score: 0.052631578254847655\n",
      "Subjectivity Score: 0.13893967067835528\n",
      "Positive Score: 23\n",
      "Negative Score: 6\n",
      "Polarity Score: 0.5862068763376939\n",
      "Subjectivity Score: 0.05301645328516188\n",
      "Positive Score: 46\n",
      "Negative Score: 7\n",
      "Polarity Score: 0.7358490427198294\n",
      "Subjectivity Score: 0.09689213876253723\n",
      "Positive Score: 33\n",
      "Negative Score: 6\n",
      "Polarity Score: 0.6923076745562136\n",
      "Subjectivity Score: 0.07129798890073494\n",
      "Positive Score: 42\n",
      "Negative Score: 17\n",
      "Polarity Score: 0.4237288063774779\n",
      "Subjectivity Score: 0.10786106013188106\n",
      "Positive Score: 27\n",
      "Negative Score: 75\n",
      "Polarity Score: -0.47058823068050754\n",
      "Subjectivity Score: 0.18647166327884523\n",
      "Positive Score: 60\n",
      "Negative Score: 23\n",
      "Polarity Score: 0.44578312715923946\n",
      "Subjectivity Score: 0.1517367456092564\n",
      "Positive Score: 21\n",
      "Negative Score: 34\n",
      "Polarity Score: -0.2363636320661158\n",
      "Subjectivity Score: 0.10054844588565183\n",
      "Positive Score: 24\n",
      "Negative Score: 25\n",
      "Polarity Score: -0.020408162848813003\n",
      "Subjectivity Score: 0.089579524516308\n",
      "Positive Score: 25\n",
      "Negative Score: 80\n",
      "Polarity Score: -0.5238095188208617\n",
      "Subjectivity Score: 0.19195612396351713\n",
      "Positive Score: 21\n",
      "Negative Score: 12\n",
      "Polarity Score: 0.2727272644628102\n",
      "Subjectivity Score: 0.060329067531391105\n",
      "Positive Score: 8\n",
      "Negative Score: 8\n",
      "Polarity Score: 0.0\n",
      "Subjectivity Score: 0.0292504569849169\n",
      "Positive Score: 24\n",
      "Negative Score: 20\n",
      "Polarity Score: 0.09090908884297526\n",
      "Subjectivity Score: 0.08043875670852146\n",
      "Positive Score: 20\n",
      "Negative Score: 33\n",
      "Polarity Score: -0.24528301423994314\n",
      "Subjectivity Score: 0.09689213876253723\n",
      "Positive Score: 45\n",
      "Negative Score: 13\n",
      "Polarity Score: 0.5517241284185496\n",
      "Subjectivity Score: 0.10603290657032376\n",
      "Positive Score: 38\n",
      "Negative Score: 54\n",
      "Polarity Score: -0.17391304158790172\n",
      "Subjectivity Score: 0.16819012766327215\n",
      "Positive Score: 30\n",
      "Negative Score: 72\n",
      "Polarity Score: -0.4117647018454441\n",
      "Subjectivity Score: 0.18647166327884523\n",
      "Positive Score: 3\n",
      "Negative Score: 1\n",
      "Polarity Score: 0.49999987500003124\n",
      "Subjectivity Score: 0.007312614246229225\n",
      "Positive Score: 30\n",
      "Negative Score: 4\n",
      "Polarity Score: 0.7647058598615925\n",
      "Subjectivity Score: 0.062157221092948405\n",
      "Positive Score: 38\n",
      "Negative Score: 34\n",
      "Polarity Score: 0.05555555478395063\n",
      "Subjectivity Score: 0.13162705643212605\n",
      "Positive Score: 52\n",
      "Negative Score: 15\n",
      "Polarity Score: 0.5522387977277792\n",
      "Subjectivity Score: 0.12248628862433951\n",
      "Positive Score: 32\n",
      "Negative Score: 34\n",
      "Polarity Score: -0.03030302984389349\n",
      "Subjectivity Score: 0.12065813506278221\n",
      "Positive Score: 17\n",
      "Negative Score: 45\n",
      "Polarity Score: -0.4516128959417275\n",
      "Subjectivity Score: 0.11334552081655298\n",
      "Positive Score: 17\n",
      "Negative Score: 45\n",
      "Polarity Score: -0.4516128959417275\n",
      "Subjectivity Score: 0.11334552081655298\n",
      "Positive Score: 37\n",
      "Negative Score: 55\n",
      "Polarity Score: -0.19565217178638944\n",
      "Subjectivity Score: 0.16819012766327215\n",
      "Positive Score: 26\n",
      "Negative Score: 28\n",
      "Polarity Score: -0.037037036351165994\n",
      "Subjectivity Score: 0.09872029232409453\n",
      "Positive Score: 24\n",
      "Negative Score: 43\n",
      "Polarity Score: -0.2835820853196704\n",
      "Subjectivity Score: 0.12248628862433951\n",
      "Positive Score: 4\n",
      "Negative Score: 3\n",
      "Polarity Score: 0.1428571224489825\n",
      "Subjectivity Score: 0.012797074930901143\n",
      "Positive Score: 28\n",
      "Negative Score: 45\n",
      "Polarity Score: -0.23287670913867523\n",
      "Subjectivity Score: 0.13345520999368335\n",
      "Positive Score: 8\n",
      "Negative Score: 27\n",
      "Polarity Score: -0.5428571273469392\n",
      "Subjectivity Score: 0.06398537465450571\n",
      "Positive Score: 28\n",
      "Negative Score: 64\n",
      "Polarity Score: -0.3913043435727789\n",
      "Subjectivity Score: 0.16819012766327215\n",
      "Positive Score: 21\n",
      "Negative Score: 36\n",
      "Polarity Score: -0.26315789012003704\n",
      "Subjectivity Score: 0.10420475300876644\n",
      "Positive Score: 1\n",
      "Negative Score: 0\n",
      "Polarity Score: 0.9999990000010001\n",
      "Subjectivity Score: 0.0018281535615573062\n",
      "Positive Score: 12\n",
      "Negative Score: 3\n",
      "Polarity Score: 0.5999999600000027\n",
      "Subjectivity Score: 0.027422303423359592\n",
      "Positive Score: 28\n",
      "Negative Score: 59\n",
      "Polarity Score: -0.3563218349848065\n",
      "Subjectivity Score: 0.15904935985548563\n",
      "Positive Score: 28\n",
      "Negative Score: 27\n",
      "Polarity Score: 0.018181817851239675\n",
      "Subjectivity Score: 0.10054844588565183\n",
      "Positive Score: 7\n",
      "Negative Score: 43\n",
      "Polarity Score: -0.7199999856000003\n",
      "Subjectivity Score: 0.0914076780778653\n",
      "Positive Score: 17\n",
      "Negative Score: 37\n",
      "Polarity Score: -0.37037036351166\n",
      "Subjectivity Score: 0.09872029232409453\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Positive Score: 33\n",
      "Negative Score: 57\n",
      "Polarity Score: -0.26666666370370373\n",
      "Subjectivity Score: 0.16453382054015755\n",
      "Positive Score: 18\n",
      "Negative Score: 21\n",
      "Polarity Score: -0.0769230749506904\n",
      "Subjectivity Score: 0.07129798890073494\n",
      "Positive Score: 52\n",
      "Negative Score: 52\n",
      "Polarity Score: 0.0\n",
      "Subjectivity Score: 0.19012797040195983\n",
      "Positive Score: 24\n",
      "Negative Score: 42\n",
      "Polarity Score: -0.27272726859504137\n",
      "Subjectivity Score: 0.12065813506278221\n",
      "Positive Score: 25\n",
      "Negative Score: 26\n",
      "Polarity Score: -0.0196078427527874\n",
      "Subjectivity Score: 0.09323583163942262\n",
      "Positive Score: 43\n",
      "Negative Score: 87\n",
      "Polarity Score: -0.3384615358579882\n",
      "Subjectivity Score: 0.2376599630024498\n",
      "Positive Score: 35\n",
      "Negative Score: 55\n",
      "Polarity Score: -0.22222221975308645\n",
      "Subjectivity Score: 0.16453382054015755\n",
      "Positive Score: 11\n",
      "Negative Score: 15\n",
      "Polarity Score: -0.15384614792899431\n",
      "Subjectivity Score: 0.04753199260048996\n",
      "Positive Score: 50\n",
      "Negative Score: 98\n",
      "Polarity Score: -0.32432432213294377\n",
      "Subjectivity Score: 0.2705667271104813\n",
      "Positive Score: 36\n",
      "Negative Score: 65\n",
      "Polarity Score: -0.2871287100284286\n",
      "Subjectivity Score: 0.1846435097172879\n",
      "Positive Score: 33\n",
      "Negative Score: 72\n",
      "Polarity Score: -0.3714285678911565\n",
      "Subjectivity Score: 0.19195612396351713\n",
      "Positive Score: 40\n",
      "Negative Score: 88\n",
      "Polarity Score: -0.3749999970703125\n",
      "Subjectivity Score: 0.2340036558793352\n",
      "Positive Score: 20\n",
      "Negative Score: 43\n",
      "Polarity Score: -0.3650793592844546\n",
      "Subjectivity Score: 0.11517367437811028\n",
      "Positive Score: 60\n",
      "Negative Score: 22\n",
      "Polarity Score: 0.4634146284949436\n",
      "Subjectivity Score: 0.1499085920476991\n",
      "Positive Score: 19\n",
      "Negative Score: 24\n",
      "Polarity Score: -0.11627906706327752\n",
      "Subjectivity Score: 0.07861060314696416\n",
      "Positive Score: 35\n",
      "Negative Score: 90\n",
      "Polarity Score: -0.43999999648000004\n",
      "Subjectivity Score: 0.22851919519466327\n",
      "Positive Score: 8\n",
      "Negative Score: 16\n",
      "Polarity Score: -0.333333319444445\n",
      "Subjectivity Score: 0.043875685477375345\n",
      "Positive Score: 5\n",
      "Negative Score: 9\n",
      "Polarity Score: -0.2857142653061239\n",
      "Subjectivity Score: 0.025594149861802286\n",
      "Positive Score: 24\n",
      "Negative Score: 70\n",
      "Polarity Score: -0.4893616969216841\n",
      "Subjectivity Score: 0.17184643478638678\n",
      "Positive Score: 85\n",
      "Negative Score: 32\n",
      "Polarity Score: 0.4529914491197312\n",
      "Subjectivity Score: 0.2138939667022048\n",
      "Positive Score: 30\n",
      "Negative Score: 22\n",
      "Polarity Score: 0.15384615088757403\n",
      "Subjectivity Score: 0.09506398520097992\n",
      "Positive Score: 26\n",
      "Negative Score: 23\n",
      "Polarity Score: 0.06122448854643901\n",
      "Subjectivity Score: 0.089579524516308\n",
      "Positive Score: 8\n",
      "Negative Score: 10\n",
      "Polarity Score: -0.11111110493827195\n",
      "Subjectivity Score: 0.03290676410803151\n",
      "Positive Score: 7\n",
      "Negative Score: 8\n",
      "Polarity Score: -0.06666666222222252\n",
      "Subjectivity Score: 0.027422303423359592\n",
      "Positive Score: 1\n",
      "Negative Score: 19\n",
      "Polarity Score: -0.8999999550000022\n",
      "Subjectivity Score: 0.036563071231146126\n",
      "Positive Score: 4\n",
      "Negative Score: 9\n",
      "Polarity Score: -0.3846153550295881\n",
      "Subjectivity Score: 0.02376599630024498\n",
      "Positive Score: 5\n",
      "Negative Score: 11\n",
      "Polarity Score: -0.37499997656250145\n",
      "Subjectivity Score: 0.0292504569849169\n",
      "Positive Score: 6\n",
      "Negative Score: 0\n",
      "Polarity Score: 0.9999998333333611\n",
      "Subjectivity Score: 0.010968921369343836\n",
      "Positive Score: 14\n",
      "Negative Score: 50\n",
      "Polarity Score: -0.5624999912109376\n",
      "Subjectivity Score: 0.1170018279396676\n",
      "Positive Score: 5\n",
      "Negative Score: 22\n",
      "Polarity Score: -0.6296296063100145\n",
      "Subjectivity Score: 0.049360146162047265\n",
      "Positive Score: 37\n",
      "Negative Score: 77\n",
      "Polarity Score: -0.35087718990458605\n",
      "Subjectivity Score: 0.2084095060175329\n",
      "Positive Score: 6\n",
      "Negative Score: 29\n",
      "Polarity Score: -0.6571428383673475\n",
      "Subjectivity Score: 0.06398537465450571\n",
      "Positive Score: 0\n",
      "Negative Score: 0\n",
      "Polarity Score: 0.0\n",
      "Subjectivity Score: 0.0\n",
      "Positive Score: 11\n",
      "Negative Score: 11\n",
      "Polarity Score: 0.0\n",
      "Subjectivity Score: 0.04021937835426073\n",
      "Positive Score: 23\n",
      "Negative Score: 28\n",
      "Polarity Score: -0.09803921376393698\n",
      "Subjectivity Score: 0.09323583163942262\n",
      "Positive Score: 36\n",
      "Negative Score: 15\n",
      "Polarity Score: 0.41176469780853536\n",
      "Subjectivity Score: 0.09323583163942262\n",
      "Positive Score: 39\n",
      "Negative Score: 50\n",
      "Polarity Score: -0.123595504229264\n",
      "Subjectivity Score: 0.16270566697860026\n",
      "Positive Score: 37\n",
      "Negative Score: 6\n",
      "Polarity Score: 0.7209302157923206\n",
      "Subjectivity Score: 0.07861060314696416\n",
      "Positive Score: 44\n",
      "Negative Score: 45\n",
      "Polarity Score: -0.011235954929933092\n",
      "Subjectivity Score: 0.16270566697860026\n"
     ]
    }
   ],
   "source": [
    "posL=[]\n",
    "negL=[]\n",
    "polL=[]\n",
    "subL=[]\n",
    "for corp in df['CleanedCorpus']:\n",
    "    posScore=0\n",
    "    negScore=0\n",
    "    for word in word_tokenize(corp):\n",
    "        if word in pos:\n",
    "            posScore+=1\n",
    "        if word in neg:\n",
    "            negScore+=1\n",
    "\n",
    "    polarityScore = (posScore-negScore)/((posScore+negScore)+0.000001)\n",
    "    subjectivityScore = (posScore+negScore)/((len(word_tokenize(corpus))) + 0.000001)\n",
    "    posL.append(posScore)\n",
    "    negL.append(negScore)\n",
    "    polL.append(polarityScore)\n",
    "    subL.append(subjectivityScore)\n",
    "    print(f'Positive Score: {posScore}')\n",
    "    print(f'Negative Score: {negScore}')\n",
    "    print(f'Polarity Score: {polarityScore}')\n",
    "    print(f'Subjectivity Score: {subjectivityScore}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "debc209e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['PositiveScore']=posL\n",
    "df['NegativeScore']=negL\n",
    "df['PolarityScore']=polL\n",
    "df['SubjectivityScore']=subL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "c8353439",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>URL_ID</th>\n",
       "      <th>URL</th>\n",
       "      <th>CleanedCorpus</th>\n",
       "      <th>RawCorpus</th>\n",
       "      <th>RawSenCount</th>\n",
       "      <th>RawLenCount</th>\n",
       "      <th>avgSenLen</th>\n",
       "      <th>complexCount</th>\n",
       "      <th>RawWordCount</th>\n",
       "      <th>Fog Index</th>\n",
       "      <th>PositiveScore</th>\n",
       "      <th>NegativeScore</th>\n",
       "      <th>PolarityScore</th>\n",
       "      <th>SubjectivityScore</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>https://insights.blackcoffer.com/ai-in-healthc...</td>\n",
       "      <td>introduction   if kill 10 million people deca...</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38</td>\n",
       "      <td>https://insights.blackcoffer.com/what-if-the-c...</td>\n",
       "      <td>human mind   fascination carrying potential t...</td>\n",
       "      <td>human minds , a fascination in itself carryin...</td>\n",
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       "      <td>0.208410</td>\n",
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       "      <th>2</th>\n",
       "      <td>39</td>\n",
       "      <td>https://insights.blackcoffer.com/what-jobs-wil...</td>\n",
       "      <td>introduction rapidly evolving employment sect...</td>\n",
       "      <td>introduction ai is rapidly evolving in the em...</td>\n",
       "      <td>84</td>\n",
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       "      <td>64</td>\n",
       "      <td>1899</td>\n",
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       "      <td>68</td>\n",
       "      <td>42</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.201097</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40</td>\n",
       "      <td>https://insights.blackcoffer.com/will-machine-...</td>\n",
       "      <td>anything give rise smarter than human intel...</td>\n",
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       "      <td>92</td>\n",
       "      <td>1765</td>\n",
       "      <td>19.184783</td>\n",
       "      <td>65</td>\n",
       "      <td>1765</td>\n",
       "      <td>9.147001</td>\n",
       "      <td>67</td>\n",
       "      <td>31</td>\n",
       "      <td>0.367347</td>\n",
       "      <td>0.179159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41</td>\n",
       "      <td>https://insights.blackcoffer.com/will-ai-repla...</td>\n",
       "      <td>machine intelligence invention humanity mak...</td>\n",
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       "      <td>82</td>\n",
       "      <td>1930</td>\n",
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       "      <td>65</td>\n",
       "      <td>27</td>\n",
       "      <td>0.413043</td>\n",
       "      <td>0.168190</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>42</td>\n",
       "      <td>https://insights.blackcoffer.com/man-and-machi...</td>\n",
       "      <td>where disruptive technology taking   take lea...</td>\n",
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       "      <td>49</td>\n",
       "      <td>1229</td>\n",
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       "      <td>26</td>\n",
       "      <td>1229</td>\n",
       "      <td>10.878869</td>\n",
       "      <td>45</td>\n",
       "      <td>25</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.127971</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>43</td>\n",
       "      <td>https://insights.blackcoffer.com/in-future-or-...</td>\n",
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       "      <td>in future or in upcoming years humans and mac...</td>\n",
       "      <td>37</td>\n",
       "      <td>635</td>\n",
       "      <td>17.162162</td>\n",
       "      <td>6</td>\n",
       "      <td>635</td>\n",
       "      <td>7.242818</td>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>0.481481</td>\n",
       "      <td>0.049360</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>44</td>\n",
       "      <td>https://insights.blackcoffer.com/how-neural-ne...</td>\n",
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       "      <th>8</th>\n",
       "      <td>45</td>\n",
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       "      <td>machine learning technique year   recently ex...</td>\n",
       "      <td>machine learning techniques may have been use...</td>\n",
       "      <td>35</td>\n",
       "      <td>791</td>\n",
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       "      <td>0.095064</td>\n",
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       "      <th>9</th>\n",
       "      <td>46</td>\n",
       "      <td>https://insights.blackcoffer.com/deep-learning...</td>\n",
       "      <td>elearning technology affordable higher educat...</td>\n",
       "      <td>elearning as technology becomes more affordab...</td>\n",
       "      <td>79</td>\n",
       "      <td>2405</td>\n",
       "      <td>30.443038</td>\n",
       "      <td>71</td>\n",
       "      <td>2405</td>\n",
       "      <td>13.358088</td>\n",
       "      <td>75</td>\n",
       "      <td>45</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.219378</td>\n",
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      ],
      "text/plain": [
       "   URL_ID                                                URL  \\\n",
       "0      37  https://insights.blackcoffer.com/ai-in-healthc...   \n",
       "1      38  https://insights.blackcoffer.com/what-if-the-c...   \n",
       "2      39  https://insights.blackcoffer.com/what-jobs-wil...   \n",
       "3      40  https://insights.blackcoffer.com/will-machine-...   \n",
       "4      41  https://insights.blackcoffer.com/will-ai-repla...   \n",
       "5      42  https://insights.blackcoffer.com/man-and-machi...   \n",
       "6      43  https://insights.blackcoffer.com/in-future-or-...   \n",
       "7      44  https://insights.blackcoffer.com/how-neural-ne...   \n",
       "8      45  https://insights.blackcoffer.com/how-machine-l...   \n",
       "9      46  https://insights.blackcoffer.com/deep-learning...   \n",
       "\n",
       "                                       CleanedCorpus  \\\n",
       "0   introduction   if kill 10 million people deca...   \n",
       "1   human mind   fascination carrying potential t...   \n",
       "2   introduction rapidly evolving employment sect...   \n",
       "3     anything give rise smarter than human intel...   \n",
       "4     machine intelligence invention humanity mak...   \n",
       "5   where disruptive technology taking   take lea...   \n",
       "6   in future upcoming year human machine work fi...   \n",
       "7                                                      \n",
       "8   machine learning technique year   recently ex...   \n",
       "9   elearning technology affordable higher educat...   \n",
       "\n",
       "                                           RawCorpus  RawSenCount  \\\n",
       "0   introduction “ if anything kills over 10 mill...           77   \n",
       "1   human minds , a fascination in itself carryin...           79   \n",
       "2   introduction ai is rapidly evolving in the em...           84   \n",
       "3   “ anything that could give rise to smarter-th...           92   \n",
       "4   “ machine intelligence is the last invention ...           82   \n",
       "5   where is this disruptive technology taking us...           49   \n",
       "6   in future or in upcoming years humans and mac...           37   \n",
       "7                                                               0   \n",
       "8   machine learning techniques may have been use...           35   \n",
       "9   elearning as technology becomes more affordab...           79   \n",
       "\n",
       "   RawLenCount  avgSenLen  complexCount  RawWordCount  Fog Index  \\\n",
       "0         1993  25.883117            65          1993  11.657813   \n",
       "1         1630  20.632911            50          1630   9.480158   \n",
       "2         1899  22.607143            64          1899  10.390935   \n",
       "3         1765  19.184783            65          1765   9.147001   \n",
       "4         1930  23.536585            65          1930  10.761784   \n",
       "5         1229  25.081633            26          1229  10.878869   \n",
       "6          635  17.162162             6           635   7.242818   \n",
       "7            0   0.000000             0             0        NaN   \n",
       "8          791  22.600000            11           791   9.596258   \n",
       "9         2405  30.443038            71          2405  13.358088   \n",
       "\n",
       "   PositiveScore  NegativeScore  PolarityScore  SubjectivityScore  \n",
       "0             80             37       0.367521           0.213894  \n",
       "1             76             38       0.333333           0.208410  \n",
       "2             68             42       0.236364           0.201097  \n",
       "3             67             31       0.367347           0.179159  \n",
       "4             65             27       0.413043           0.168190  \n",
       "5             45             25       0.285714           0.127971  \n",
       "6             20              7       0.481481           0.049360  \n",
       "7              0              0       0.000000           0.000000  \n",
       "8             38             14       0.461538           0.095064  \n",
       "9             75             45       0.250000           0.219378  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b83bdbbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>URL_ID</th>\n",
       "      <th>PositiveScore</th>\n",
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       "      <th>count</th>\n",
       "      <td>114.000000</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>114.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>93.500000</td>\n",
       "      <td>28.964912</td>\n",
       "      <td>29.885965</td>\n",
       "      <td>0.037186</td>\n",
       "      <td>0.107588</td>\n",
       "    </tr>\n",
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       "      <th>std</th>\n",
       "      <td>33.052988</td>\n",
       "      <td>20.347829</td>\n",
       "      <td>24.144022</td>\n",
       "      <td>0.449036</td>\n",
       "      <td>0.066921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>37.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>65.250000</td>\n",
       "      <td>14.250000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>-0.322512</td>\n",
       "      <td>0.050274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>93.500000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.100548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>121.750000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>0.412724</td>\n",
       "      <td>0.164534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>86.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.270567</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           URL_ID  PositiveScore  NegativeScore  PolarityScore  \\\n",
       "count  114.000000     114.000000     114.000000     114.000000   \n",
       "mean    93.500000      28.964912      29.885965       0.037186   \n",
       "std     33.052988      20.347829      24.144022       0.449036   \n",
       "min     37.000000       0.000000       0.000000      -1.000000   \n",
       "25%     65.250000      14.250000       9.000000      -0.322512   \n",
       "50%     93.500000      26.000000      25.000000       0.000000   \n",
       "75%    121.750000      39.000000      43.000000       0.412724   \n",
       "max    150.000000      86.000000      98.000000       1.000000   \n",
       "\n",
       "       SubjectivityScore  \n",
       "count         114.000000  \n",
       "mean            0.107588  \n",
       "std             0.066921  \n",
       "min             0.000000  \n",
       "25%             0.050274  \n",
       "50%             0.100548  \n",
       "75%             0.164534  \n",
       "max             0.270567  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c7f1079",
   "metadata": {},
   "source": [
    "1.\tPOSITIVE SCORE\n",
    "2.\tNEGATIVE SCORE\n",
    "3.\tPOLARITY SCORE\n",
    "4.\tSUBJECTIVITY SCORE\n",
    ">\n",
    "5.\tAVG SENTENCE LENGTH\n",
    "6.\tPERCENTAGE OF COMPLEX WORDS\n",
    "7.\tFOG INDEX\n",
    "8.\tAVG NUMBER OF WORDS PER SENTENCE\n",
    "9.\tCOMPLEX WORD COUNT\n",
    "10.\tWORD COUNT\n",
    "11.\tSYLLABLE PER WORD\n",
    "12.\tPERSONAL PRONOUNS\n",
    "13.\tAVG WORD LENGTH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d4cfcf32",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.tokenize import sent_tokenize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "cf030068",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "77"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(sent_tokenize(df.iloc[0,3]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c945a6fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1993"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(word_tokenize(df.iloc[0,3]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a74789f",
   "metadata": {},
   "source": [
    "### Calculating complex words, average sentence length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b8ba2cca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "77 1993\n",
      "Corpus has 65 complex words\n",
      "79 1630\n",
      "Corpus has 50 complex words\n",
      "84 1899\n",
      "Corpus has 64 complex words\n",
      "92 1765\n",
      "Corpus has 65 complex words\n",
      "82 1930\n",
      "Corpus has 65 complex words\n",
      "49 1229\n",
      "Corpus has 26 complex words\n",
      "37 635\n",
      "Corpus has 6 complex words\n",
      "0 0\n",
      "Corpus has 0 complex words\n",
      "35 791\n",
      "Corpus has 11 complex words\n",
      "79 2405\n",
      "Corpus has 71 complex words\n",
      "96 2229\n",
      "Corpus has 44 complex words\n",
      "57 1286\n",
      "Corpus has 51 complex words\n",
      "78 1400\n",
      "Corpus has 42 complex words\n",
      "63 1788\n",
      "Corpus has 53 complex words\n",
      "77 1752\n",
      "Corpus has 66 complex words\n",
      "21 558\n",
      "Corpus has 16 complex words\n",
      "8 1881\n",
      "Corpus has 38 complex words\n",
      "45 842\n",
      "Corpus has 7 complex words\n",
      "39 803\n",
      "Corpus has 22 complex words\n",
      "6 192\n",
      "Corpus has 2 complex words\n",
      "0 0\n",
      "Corpus has 0 complex words\n",
      "55 1517\n",
      "Corpus has 51 complex words\n",
      "28 793\n",
      "Corpus has 22 complex words\n",
      "109 2122\n",
      "Corpus has 84 complex words\n",
      "38 733\n",
      "Corpus has 29 complex words\n",
      "16 406\n",
      "Corpus has 5 complex words\n",
      "35 904\n",
      "Corpus has 40 complex words\n",
      "18 531\n",
      "Corpus has 20 complex words\n",
      "27 426\n",
      "Corpus has 13 complex words\n",
      "10 169\n",
      "Corpus has 2 complex words\n",
      "55 939\n",
      "Corpus has 17 complex words\n",
      "10 195\n",
      "Corpus has 1 complex words\n",
      "33 755\n",
      "Corpus has 38 complex words\n",
      "7 159\n",
      "Corpus has 3 complex words\n",
      "21 404\n",
      "Corpus has 12 complex words\n",
      "73 1963\n",
      "Corpus has 66 complex words\n",
      "66 1894\n",
      "Corpus has 38 complex words\n",
      "80 1661\n",
      "Corpus has 48 complex words\n",
      "55 902\n",
      "Corpus has 17 complex words\n",
      "66 1604\n",
      "Corpus has 28 complex words\n",
      "17 519\n",
      "Corpus has 15 complex words\n",
      "72 1788\n",
      "Corpus has 66 complex words\n",
      "78 1149\n",
      "Corpus has 30 complex words\n",
      "75 1272\n",
      "Corpus has 28 complex words\n",
      "42 1120\n",
      "Corpus has 8 complex words\n",
      "62 1237\n",
      "Corpus has 49 complex words\n",
      "74 1173\n",
      "Corpus has 32 complex words\n",
      "30 747\n",
      "Corpus has 19 complex words\n",
      "11 321\n",
      "Corpus has 4 complex words\n",
      "23 814\n",
      "Corpus has 31 complex words\n",
      "56 1372\n",
      "Corpus has 27 complex words\n",
      "180 3964\n",
      "Corpus has 76 complex words\n",
      "81 1907\n",
      "Corpus has 45 complex words\n",
      "58 1646\n",
      "Corpus has 46 complex words\n",
      "7 159\n",
      "Corpus has 3 complex words\n",
      "38 987\n",
      "Corpus has 12 complex words\n",
      "119 2010\n",
      "Corpus has 57 complex words\n",
      "89 1906\n",
      "Corpus has 46 complex words\n",
      "46 1177\n",
      "Corpus has 38 complex words\n",
      "55 1892\n",
      "Corpus has 68 complex words\n",
      "49 1069\n",
      "Corpus has 18 complex words\n",
      "73 1334\n",
      "Corpus has 35 complex words\n",
      "36 1162\n",
      "Corpus has 35 complex words\n",
      "54 1350\n",
      "Corpus has 33 complex words\n",
      "9 205\n",
      "Corpus has 3 complex words\n",
      "58 1221\n",
      "Corpus has 40 complex words\n",
      "34 713\n",
      "Corpus has 15 complex words\n",
      "48 1205\n",
      "Corpus has 35 complex words\n",
      "36 1194\n",
      "Corpus has 33 complex words\n",
      "5 161\n",
      "Corpus has 1 complex words\n",
      "29 602\n",
      "Corpus has 7 complex words\n",
      "28 1030\n",
      "Corpus has 22 complex words\n",
      "29 773\n",
      "Corpus has 9 complex words\n",
      "45 1167\n",
      "Corpus has 22 complex words\n",
      "52 1143\n",
      "Corpus has 24 complex words\n",
      "52 1149\n",
      "Corpus has 44 complex words\n",
      "34 880\n",
      "Corpus has 19 complex words\n",
      "69 1714\n",
      "Corpus has 35 complex words\n",
      "57 1654\n",
      "Corpus has 54 complex words\n",
      "10 906\n",
      "Corpus has 4 complex words\n",
      "69 1934\n",
      "Corpus has 60 complex words\n",
      "67 1385\n",
      "Corpus has 19 complex words\n",
      "14 369\n",
      "Corpus has 10 complex words\n",
      "85 2378\n",
      "Corpus has 72 complex words\n",
      "63 1712\n",
      "Corpus has 10 complex words\n",
      "86 1945\n",
      "Corpus has 31 complex words\n",
      "74 2005\n",
      "Corpus has 36 complex words\n",
      "49 1135\n",
      "Corpus has 24 complex words\n",
      "63 2050\n",
      "Corpus has 94 complex words\n",
      "32 944\n",
      "Corpus has 18 complex words\n",
      "53 1457\n",
      "Corpus has 40 complex words\n",
      "15 331\n",
      "Corpus has 4 complex words\n",
      "21 527\n",
      "Corpus has 12 complex words\n",
      "47 1872\n",
      "Corpus has 54 complex words\n",
      "70 1885\n",
      "Corpus has 50 complex words\n",
      "61 1571\n",
      "Corpus has 40 complex words\n",
      "27 746\n",
      "Corpus has 32 complex words\n",
      "14 363\n",
      "Corpus has 12 complex words\n",
      "14 361\n",
      "Corpus has 8 complex words\n",
      "20 440\n",
      "Corpus has 13 complex words\n",
      "10 263\n",
      "Corpus has 4 complex words\n",
      "14 285\n",
      "Corpus has 11 complex words\n",
      "6 188\n",
      "Corpus has 6 complex words\n",
      "38 1024\n",
      "Corpus has 25 complex words\n",
      "16 518\n",
      "Corpus has 11 complex words\n",
      "70 1971\n",
      "Corpus has 46 complex words\n",
      "34 658\n",
      "Corpus has 12 complex words\n",
      "0 0\n",
      "Corpus has 0 complex words\n",
      "33 785\n",
      "Corpus has 12 complex words\n",
      "48 980\n",
      "Corpus has 34 complex words\n",
      "48 1221\n",
      "Corpus has 32 complex words\n",
      "65 1255\n",
      "Corpus has 24 complex words\n",
      "25 616\n",
      "Corpus has 16 complex words\n",
      "65 1131\n",
      "Corpus has 31 complex words\n"
     ]
    }
   ],
   "source": [
    "avgSenLen=[]\n",
    "complexCount=[]\n",
    "senLength=[]\n",
    "wordLength=[]\n",
    "for corp in df['RawCorpus']:\n",
    "    \n",
    "    senLen=len(sent_tokenize(corp))\n",
    "    senLength.append(senLen)\n",
    "    \n",
    "    wordLen=len(word_tokenize(corp))\n",
    "    wordLength.append(wordLen)\n",
    "    \n",
    "    print(senLen,wordLen)\n",
    "    if senLen==0:\n",
    "        avgSenLen.append(0)\n",
    "    else:\n",
    "        avgSenLen.append(wordLen/senLen)\n",
    "    \n",
    "    cmplx = 0\n",
    "    for myword in word_tokenize(corp):\n",
    "        d = {}.fromkeys('aeiou',0)\n",
    "        haslotsvowels = False\n",
    "        for x in myword.lower():\n",
    "             if x in d:\n",
    "                d[x] += 1\n",
    "        for q in d.values():\n",
    "            if q > 2:\n",
    "                haslotsvowels = True\n",
    "        if haslotsvowels:\n",
    "            cmplx += 1\n",
    "    complexCount.append(cmplx)\n",
    "        \n",
    "    print(f'Corpus has {cmplx} complex words')\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e1fded93",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['RawSenCount']=senLength\n",
    "df['RawWordCount']=wordLength\n",
    "df['avgSenLen']=avgSenLen\n",
    "df['complexCount']=complexCount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "18824632",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Fog Index']=0.4*(df['avgSenLen']+(100*df['complexCount']/df['RawWordCount']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d2ce5877",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>URL_ID</th>\n",
       "      <th>URL</th>\n",
       "      <th>CleanedCorpus</th>\n",
       "      <th>RawCorpus</th>\n",
       "      <th>PositiveScore</th>\n",
       "      <th>NegativeScore</th>\n",
       "      <th>PolarityScore</th>\n",
       "      <th>SubjectivityScore</th>\n",
       "      <th>RawSenCount</th>\n",
       "      <th>RawWordCount</th>\n",
       "      <th>avgSenLen</th>\n",
       "      <th>complexCount</th>\n",
       "      <th>Fog Index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>https://insights.blackcoffer.com/ai-in-healthc...</td>\n",
       "      <td>introduction   if kill 10 million people deca...</td>\n",
       "      <td>introduction “ if anything kills over 10 mill...</td>\n",
       "      <td>80</td>\n",
       "      <td>37</td>\n",
       "      <td>0.367521</td>\n",
       "      <td>0.213894</td>\n",
       "      <td>77</td>\n",
       "      <td>1993</td>\n",
       "      <td>25.883117</td>\n",
       "      <td>65</td>\n",
       "      <td>11.657813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38</td>\n",
       "      <td>https://insights.blackcoffer.com/what-if-the-c...</td>\n",
       "      <td>human mind   fascination carrying potential t...</td>\n",
       "      <td>human minds , a fascination in itself carryin...</td>\n",
       "      <td>76</td>\n",
       "      <td>38</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.208410</td>\n",
       "      <td>79</td>\n",
       "      <td>1630</td>\n",
       "      <td>20.632911</td>\n",
       "      <td>50</td>\n",
       "      <td>9.480158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39</td>\n",
       "      <td>https://insights.blackcoffer.com/what-jobs-wil...</td>\n",
       "      <td>introduction rapidly evolving employment sect...</td>\n",
       "      <td>introduction ai is rapidly evolving in the em...</td>\n",
       "      <td>68</td>\n",
       "      <td>42</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.201097</td>\n",
       "      <td>84</td>\n",
       "      <td>1899</td>\n",
       "      <td>22.607143</td>\n",
       "      <td>64</td>\n",
       "      <td>10.390935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40</td>\n",
       "      <td>https://insights.blackcoffer.com/will-machine-...</td>\n",
       "      <td>anything give rise smarter than human intel...</td>\n",
       "      <td>“ anything that could give rise to smarter-th...</td>\n",
       "      <td>67</td>\n",
       "      <td>31</td>\n",
       "      <td>0.367347</td>\n",
       "      <td>0.179159</td>\n",
       "      <td>92</td>\n",
       "      <td>1765</td>\n",
       "      <td>19.184783</td>\n",
       "      <td>65</td>\n",
       "      <td>9.147001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41</td>\n",
       "      <td>https://insights.blackcoffer.com/will-ai-repla...</td>\n",
       "      <td>machine intelligence invention humanity mak...</td>\n",
       "      <td>“ machine intelligence is the last invention ...</td>\n",
       "      <td>65</td>\n",
       "      <td>27</td>\n",
       "      <td>0.413043</td>\n",
       "      <td>0.168190</td>\n",
       "      <td>82</td>\n",
       "      <td>1930</td>\n",
       "      <td>23.536585</td>\n",
       "      <td>65</td>\n",
       "      <td>10.761784</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   URL_ID                                                URL  \\\n",
       "0      37  https://insights.blackcoffer.com/ai-in-healthc...   \n",
       "1      38  https://insights.blackcoffer.com/what-if-the-c...   \n",
       "2      39  https://insights.blackcoffer.com/what-jobs-wil...   \n",
       "3      40  https://insights.blackcoffer.com/will-machine-...   \n",
       "4      41  https://insights.blackcoffer.com/will-ai-repla...   \n",
       "\n",
       "                                       CleanedCorpus  \\\n",
       "0   introduction   if kill 10 million people deca...   \n",
       "1   human mind   fascination carrying potential t...   \n",
       "2   introduction rapidly evolving employment sect...   \n",
       "3     anything give rise smarter than human intel...   \n",
       "4     machine intelligence invention humanity mak...   \n",
       "\n",
       "                                           RawCorpus  PositiveScore  \\\n",
       "0   introduction “ if anything kills over 10 mill...             80   \n",
       "1   human minds , a fascination in itself carryin...             76   \n",
       "2   introduction ai is rapidly evolving in the em...             68   \n",
       "3   “ anything that could give rise to smarter-th...             67   \n",
       "4   “ machine intelligence is the last invention ...             65   \n",
       "\n",
       "   NegativeScore  PolarityScore  SubjectivityScore  RawSenCount  RawWordCount  \\\n",
       "0             37       0.367521           0.213894           77          1993   \n",
       "1             38       0.333333           0.208410           79          1630   \n",
       "2             42       0.236364           0.201097           84          1899   \n",
       "3             31       0.367347           0.179159           92          1765   \n",
       "4             27       0.413043           0.168190           82          1930   \n",
       "\n",
       "   avgSenLen  complexCount  Fog Index  \n",
       "0  25.883117            65  11.657813  \n",
       "1  20.632911            50   9.480158  \n",
       "2  22.607143            64  10.390935  \n",
       "3  19.184783            65   9.147001  \n",
       "4  23.536585            65  10.761784  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "687757b6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>URL_ID</th>\n",
       "      <th>URL</th>\n",
       "      <th>CleanedCorpus</th>\n",
       "      <th>RawCorpus</th>\n",
       "      <th>PositiveScore</th>\n",
       "      <th>NegativeScore</th>\n",
       "      <th>PolarityScore</th>\n",
       "      <th>SubjectivityScore</th>\n",
       "      <th>RawSenCount</th>\n",
       "      <th>RawWordCount</th>\n",
       "      <th>avgSenLen</th>\n",
       "      <th>complexCount</th>\n",
       "      <th>Fog Index</th>\n",
       "      <th>cleanWordCount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>https://insights.blackcoffer.com/ai-in-healthc...</td>\n",
       "      <td>introduction   if kill 10 million people deca...</td>\n",
       "      <td>introduction “ if anything kills over 10 mill...</td>\n",
       "      <td>80</td>\n",
       "      <td>37</td>\n",
       "      <td>0.367521</td>\n",
       "      <td>0.213894</td>\n",
       "      <td>77</td>\n",
       "      <td>1993</td>\n",
       "      <td>25.883117</td>\n",
       "      <td>65</td>\n",
       "      <td>11.657813</td>\n",
       "      <td>1064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38</td>\n",
       "      <td>https://insights.blackcoffer.com/what-if-the-c...</td>\n",
       "      <td>human mind   fascination carrying potential t...</td>\n",
       "      <td>human minds , a fascination in itself carryin...</td>\n",
       "      <td>76</td>\n",
       "      <td>38</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.208410</td>\n",
       "      <td>79</td>\n",
       "      <td>1630</td>\n",
       "      <td>20.632911</td>\n",
       "      <td>50</td>\n",
       "      <td>9.480158</td>\n",
       "      <td>660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39</td>\n",
       "      <td>https://insights.blackcoffer.com/what-jobs-wil...</td>\n",
       "      <td>introduction rapidly evolving employment sect...</td>\n",
       "      <td>introduction ai is rapidly evolving in the em...</td>\n",
       "      <td>68</td>\n",
       "      <td>42</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.201097</td>\n",
       "      <td>84</td>\n",
       "      <td>1899</td>\n",
       "      <td>22.607143</td>\n",
       "      <td>64</td>\n",
       "      <td>10.390935</td>\n",
       "      <td>917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40</td>\n",
       "      <td>https://insights.blackcoffer.com/will-machine-...</td>\n",
       "      <td>anything give rise smarter than human intel...</td>\n",
       "      <td>“ anything that could give rise to smarter-th...</td>\n",
       "      <td>67</td>\n",
       "      <td>31</td>\n",
       "      <td>0.367347</td>\n",
       "      <td>0.179159</td>\n",
       "      <td>92</td>\n",
       "      <td>1765</td>\n",
       "      <td>19.184783</td>\n",
       "      <td>65</td>\n",
       "      <td>9.147001</td>\n",
       "      <td>729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41</td>\n",
       "      <td>https://insights.blackcoffer.com/will-ai-repla...</td>\n",
       "      <td>machine intelligence invention humanity mak...</td>\n",
       "      <td>“ machine intelligence is the last invention ...</td>\n",
       "      <td>65</td>\n",
       "      <td>27</td>\n",
       "      <td>0.413043</td>\n",
       "      <td>0.168190</td>\n",
       "      <td>82</td>\n",
       "      <td>1930</td>\n",
       "      <td>23.536585</td>\n",
       "      <td>65</td>\n",
       "      <td>10.761784</td>\n",
       "      <td>892</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   URL_ID                                                URL  \\\n",
       "0      37  https://insights.blackcoffer.com/ai-in-healthc...   \n",
       "1      38  https://insights.blackcoffer.com/what-if-the-c...   \n",
       "2      39  https://insights.blackcoffer.com/what-jobs-wil...   \n",
       "3      40  https://insights.blackcoffer.com/will-machine-...   \n",
       "4      41  https://insights.blackcoffer.com/will-ai-repla...   \n",
       "\n",
       "                                       CleanedCorpus  \\\n",
       "0   introduction   if kill 10 million people deca...   \n",
       "1   human mind   fascination carrying potential t...   \n",
       "2   introduction rapidly evolving employment sect...   \n",
       "3     anything give rise smarter than human intel...   \n",
       "4     machine intelligence invention humanity mak...   \n",
       "\n",
       "                                           RawCorpus  PositiveScore  \\\n",
       "0   introduction “ if anything kills over 10 mill...             80   \n",
       "1   human minds , a fascination in itself carryin...             76   \n",
       "2   introduction ai is rapidly evolving in the em...             68   \n",
       "3   “ anything that could give rise to smarter-th...             67   \n",
       "4   “ machine intelligence is the last invention ...             65   \n",
       "\n",
       "   NegativeScore  PolarityScore  SubjectivityScore  RawSenCount  RawWordCount  \\\n",
       "0             37       0.367521           0.213894           77          1993   \n",
       "1             38       0.333333           0.208410           79          1630   \n",
       "2             42       0.236364           0.201097           84          1899   \n",
       "3             31       0.367347           0.179159           92          1765   \n",
       "4             27       0.413043           0.168190           82          1930   \n",
       "\n",
       "   avgSenLen  complexCount  Fog Index  cleanWordCount  \n",
       "0  25.883117            65  11.657813            1064  \n",
       "1  20.632911            50   9.480158             660  \n",
       "2  22.607143            64  10.390935             917  \n",
       "3  19.184783            65   9.147001             729  \n",
       "4  23.536585            65  10.761784             892  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleanWordCount=[]\n",
    "cleanSenCount=[]\n",
    "for corp in df['CleanedCorpus']:\n",
    "    cleanWordCount.append(len(word_tokenize(corp)))\n",
    "    cleanSenCount.append(len(sent_tokenize(corp)))\n",
    "df['cleanWordCount']=cleanWordCount\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2743614e",
   "metadata": {},
   "source": [
    "#### Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "238a651b",
   "metadata": {},
   "outputs": [],
   "source": [
    "d = {}.fromkeys('aeiou',0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "30ba18b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 0, 'e': 0, 'i': 0, 'o': 0, 'u': 0}"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "0c1695a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d['e']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "2d30c413",
   "metadata": {},
   "outputs": [],
   "source": [
    "for myword in ['HaiRy']:\n",
    "    d = {}.fromkeys('aeiou',0)\n",
    "    for x in myword.lower():\n",
    "        if x in d:\n",
    "            d[x] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "6e0be7e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 0, 'e': 1, 'i': 3, 'o': 1, 'u': 0}"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "ab0f0a3e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(d.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "bd3f8366",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(d)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18c19ba9",
   "metadata": {},
   "source": [
    "#### Testing"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a23272e8",
   "metadata": {},
   "source": [
    "### Syllables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6af93392",
   "metadata": {},
   "outputs": [],
   "source": [
    "def stem(word):\n",
    "    for suffix in ['ing', 'ly', 'ed', 'ious', 'ies', 'ive', 'es', 's', 'ment']:\n",
    "        if word.endswith(suffix):\n",
    "            return word[:-len(suffix)]\n",
    "    return word"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "cd5944e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>URL_ID</th>\n",
       "      <th>URL</th>\n",
       "      <th>CleanedCorpus</th>\n",
       "      <th>RawCorpus</th>\n",
       "      <th>PositiveScore</th>\n",
       "      <th>NegativeScore</th>\n",
       "      <th>PolarityScore</th>\n",
       "      <th>SubjectivityScore</th>\n",
       "      <th>RawSenCount</th>\n",
       "      <th>RawWordCount</th>\n",
       "      <th>avgSenLen</th>\n",
       "      <th>complexCount</th>\n",
       "      <th>Fog Index</th>\n",
       "      <th>cleanWordCount</th>\n",
       "      <th>syllables</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>https://insights.blackcoffer.com/ai-in-healthc...</td>\n",
       "      <td>introduction   if kill 10 million people deca...</td>\n",
       "      <td>introduction “ if anything kills over 10 mill...</td>\n",
       "      <td>80</td>\n",
       "      <td>37</td>\n",
       "      <td>0.367521</td>\n",
       "      <td>0.213894</td>\n",
       "      <td>77</td>\n",
       "      <td>1993</td>\n",
       "      <td>25.883117</td>\n",
       "      <td>65</td>\n",
       "      <td>11.657813</td>\n",
       "      <td>1064</td>\n",
       "      <td>2704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38</td>\n",
       "      <td>https://insights.blackcoffer.com/what-if-the-c...</td>\n",
       "      <td>human mind   fascination carrying potential t...</td>\n",
       "      <td>human minds , a fascination in itself carryin...</td>\n",
       "      <td>76</td>\n",
       "      <td>38</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.208410</td>\n",
       "      <td>79</td>\n",
       "      <td>1630</td>\n",
       "      <td>20.632911</td>\n",
       "      <td>50</td>\n",
       "      <td>9.480158</td>\n",
       "      <td>660</td>\n",
       "      <td>1477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39</td>\n",
       "      <td>https://insights.blackcoffer.com/what-jobs-wil...</td>\n",
       "      <td>introduction rapidly evolving employment sect...</td>\n",
       "      <td>introduction ai is rapidly evolving in the em...</td>\n",
       "      <td>68</td>\n",
       "      <td>42</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.201097</td>\n",
       "      <td>84</td>\n",
       "      <td>1899</td>\n",
       "      <td>22.607143</td>\n",
       "      <td>64</td>\n",
       "      <td>10.390935</td>\n",
       "      <td>917</td>\n",
       "      <td>2355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40</td>\n",
       "      <td>https://insights.blackcoffer.com/will-machine-...</td>\n",
       "      <td>anything give rise smarter than human intel...</td>\n",
       "      <td>“ anything that could give rise to smarter-th...</td>\n",
       "      <td>67</td>\n",
       "      <td>31</td>\n",
       "      <td>0.367347</td>\n",
       "      <td>0.179159</td>\n",
       "      <td>92</td>\n",
       "      <td>1765</td>\n",
       "      <td>19.184783</td>\n",
       "      <td>65</td>\n",
       "      <td>9.147001</td>\n",
       "      <td>729</td>\n",
       "      <td>1708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41</td>\n",
       "      <td>https://insights.blackcoffer.com/will-ai-repla...</td>\n",
       "      <td>machine intelligence invention humanity mak...</td>\n",
       "      <td>“ machine intelligence is the last invention ...</td>\n",
       "      <td>65</td>\n",
       "      <td>27</td>\n",
       "      <td>0.413043</td>\n",
       "      <td>0.168190</td>\n",
       "      <td>82</td>\n",
       "      <td>1930</td>\n",
       "      <td>23.536585</td>\n",
       "      <td>65</td>\n",
       "      <td>10.761784</td>\n",
       "      <td>892</td>\n",
       "      <td>2054</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   URL_ID                                                URL  \\\n",
       "0      37  https://insights.blackcoffer.com/ai-in-healthc...   \n",
       "1      38  https://insights.blackcoffer.com/what-if-the-c...   \n",
       "2      39  https://insights.blackcoffer.com/what-jobs-wil...   \n",
       "3      40  https://insights.blackcoffer.com/will-machine-...   \n",
       "4      41  https://insights.blackcoffer.com/will-ai-repla...   \n",
       "\n",
       "                                       CleanedCorpus  \\\n",
       "0   introduction   if kill 10 million people deca...   \n",
       "1   human mind   fascination carrying potential t...   \n",
       "2   introduction rapidly evolving employment sect...   \n",
       "3     anything give rise smarter than human intel...   \n",
       "4     machine intelligence invention humanity mak...   \n",
       "\n",
       "                                           RawCorpus  PositiveScore  \\\n",
       "0   introduction “ if anything kills over 10 mill...             80   \n",
       "1   human minds , a fascination in itself carryin...             76   \n",
       "2   introduction ai is rapidly evolving in the em...             68   \n",
       "3   “ anything that could give rise to smarter-th...             67   \n",
       "4   “ machine intelligence is the last invention ...             65   \n",
       "\n",
       "   NegativeScore  PolarityScore  SubjectivityScore  RawSenCount  RawWordCount  \\\n",
       "0             37       0.367521           0.213894           77          1993   \n",
       "1             38       0.333333           0.208410           79          1630   \n",
       "2             42       0.236364           0.201097           84          1899   \n",
       "3             31       0.367347           0.179159           92          1765   \n",
       "4             27       0.413043           0.168190           82          1930   \n",
       "\n",
       "   avgSenLen  complexCount  Fog Index  cleanWordCount  syllables  \n",
       "0  25.883117            65  11.657813            1064       2704  \n",
       "1  20.632911            50   9.480158             660       1477  \n",
       "2  22.607143            64  10.390935             917       2355  \n",
       "3  19.184783            65   9.147001             729       1708  \n",
       "4  23.536585            65  10.761784             892       2054  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "syllables=[]\n",
    "for corp in df['CleanedCorpus']:\n",
    "    sylCount=0\n",
    "    for word in word_tokenize(corp):\n",
    "        tempo=stem(word) # Stems the word if it has not already been lemmatized\n",
    "        d = {}.fromkeys('aeiou',0)\n",
    "        for x in tempo:\n",
    "            if x in d:\n",
    "                d[x] += 1\n",
    "        sylCount+=sum(d.values())\n",
    "    syllables.append(sylCount)\n",
    "df['syllables']=syllables\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b614ca9f",
   "metadata": {},
   "source": [
    "### Personal Pronouns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "3abebef0",
   "metadata": {},
   "outputs": [],
   "source": [
    "## personalPronouns=[\"i\",\"we\",\"my\",\"ours\",\"us\",\"our\",\"you\",\"he\",\"she\",\"it\",\"we\",\"they\",\"them\",\"him\",\"her\",\"his\",\"hers\",\"its\",\"theirs\",\"your\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "78d25e2b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ec19ea64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "personalPronouns=[]\n",
    "for corp in df['RawCorpus']:\n",
    "    totPron=0\n",
    "    for pron in [\"i\",\"we\",\"my\",\"ours\",\"us\"]:\n",
    "        re_pron = r\"\\b{}\\b\".format(pron)\n",
    "        count_pron = len(re.findall(re_pron, corp))\n",
    "        totPron+=count_pron\n",
    "#         print(re_pron)\n",
    "        print(totPron)\n",
    "#         print()\n",
    "    personalPronouns.append(totPron)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b12fa90c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['PersonalPronouns']=personalPronouns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "6091b49f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>URL_ID</th>\n",
       "      <th>URL</th>\n",
       "      <th>CleanedCorpus</th>\n",
       "      <th>RawCorpus</th>\n",
       "      <th>PositiveScore</th>\n",
       "      <th>NegativeScore</th>\n",
       "      <th>PolarityScore</th>\n",
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       "      <th>PersonalPronouns</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>https://insights.blackcoffer.com/ai-in-healthc...</td>\n",
       "      <td>introduction   if kill 10 million people deca...</td>\n",
       "      <td>introduction “ if anything kills over 10 mill...</td>\n",
       "      <td>80</td>\n",
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       "      <td>1064</td>\n",
       "      <td>2704</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38</td>\n",
       "      <td>https://insights.blackcoffer.com/what-if-the-c...</td>\n",
       "      <td>human mind   fascination carrying potential t...</td>\n",
       "      <td>human minds , a fascination in itself carryin...</td>\n",
       "      <td>76</td>\n",
       "      <td>38</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.208410</td>\n",
       "      <td>79</td>\n",
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       "      <td>50</td>\n",
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       "      <td>660</td>\n",
       "      <td>1477</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39</td>\n",
       "      <td>https://insights.blackcoffer.com/what-jobs-wil...</td>\n",
       "      <td>introduction rapidly evolving employment sect...</td>\n",
       "      <td>introduction ai is rapidly evolving in the em...</td>\n",
       "      <td>68</td>\n",
       "      <td>42</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.201097</td>\n",
       "      <td>84</td>\n",
       "      <td>1899</td>\n",
       "      <td>22.607143</td>\n",
       "      <td>64</td>\n",
       "      <td>10.390935</td>\n",
       "      <td>917</td>\n",
       "      <td>2355</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40</td>\n",
       "      <td>https://insights.blackcoffer.com/will-machine-...</td>\n",
       "      <td>anything give rise smarter than human intel...</td>\n",
       "      <td>“ anything that could give rise to smarter-th...</td>\n",
       "      <td>67</td>\n",
       "      <td>31</td>\n",
       "      <td>0.367347</td>\n",
       "      <td>0.179159</td>\n",
       "      <td>92</td>\n",
       "      <td>1765</td>\n",
       "      <td>19.184783</td>\n",
       "      <td>65</td>\n",
       "      <td>9.147001</td>\n",
       "      <td>729</td>\n",
       "      <td>1708</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41</td>\n",
       "      <td>https://insights.blackcoffer.com/will-ai-repla...</td>\n",
       "      <td>machine intelligence invention humanity mak...</td>\n",
       "      <td>“ machine intelligence is the last invention ...</td>\n",
       "      <td>65</td>\n",
       "      <td>27</td>\n",
       "      <td>0.413043</td>\n",
       "      <td>0.168190</td>\n",
       "      <td>82</td>\n",
       "      <td>1930</td>\n",
       "      <td>23.536585</td>\n",
       "      <td>65</td>\n",
       "      <td>10.761784</td>\n",
       "      <td>892</td>\n",
       "      <td>2054</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>146</td>\n",
       "      <td>https://insights.blackcoffer.com/blockchain-fo...</td>\n",
       "      <td>reconciling financial reality mba education l...</td>\n",
       "      <td>reconciling with the financial realities of a...</td>\n",
       "      <td>23</td>\n",
       "      <td>28</td>\n",
       "      <td>-0.098039</td>\n",
       "      <td>0.093236</td>\n",
       "      <td>48</td>\n",
       "      <td>980</td>\n",
       "      <td>20.416667</td>\n",
       "      <td>34</td>\n",
       "      <td>9.554422</td>\n",
       "      <td>515</td>\n",
       "      <td>1129</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>147</td>\n",
       "      <td>https://insights.blackcoffer.com/the-future-of...</td>\n",
       "      <td>an investment resource thing procured objecti...</td>\n",
       "      <td>an investment is a resource or thing procured...</td>\n",
       "      <td>36</td>\n",
       "      <td>15</td>\n",
       "      <td>0.411765</td>\n",
       "      <td>0.093236</td>\n",
       "      <td>48</td>\n",
       "      <td>1221</td>\n",
       "      <td>25.437500</td>\n",
       "      <td>32</td>\n",
       "      <td>11.223321</td>\n",
       "      <td>630</td>\n",
       "      <td>1443</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>148</td>\n",
       "      <td>https://insights.blackcoffer.com/big-data-anal...</td>\n",
       "      <td>quality affordable healthcare vision governme...</td>\n",
       "      <td>quality and affordable healthcare is a vision...</td>\n",
       "      <td>39</td>\n",
       "      <td>50</td>\n",
       "      <td>-0.123596</td>\n",
       "      <td>0.162706</td>\n",
       "      <td>65</td>\n",
       "      <td>1255</td>\n",
       "      <td>19.307692</td>\n",
       "      <td>24</td>\n",
       "      <td>8.488017</td>\n",
       "      <td>646</td>\n",
       "      <td>1521</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>149</td>\n",
       "      <td>https://insights.blackcoffer.com/business-anal...</td>\n",
       "      <td>analytics statistical scientific process disc...</td>\n",
       "      <td>analytics is a statistical scientific process...</td>\n",
       "      <td>37</td>\n",
       "      <td>6</td>\n",
       "      <td>0.720930</td>\n",
       "      <td>0.078611</td>\n",
       "      <td>25</td>\n",
       "      <td>616</td>\n",
       "      <td>24.640000</td>\n",
       "      <td>16</td>\n",
       "      <td>10.894961</td>\n",
       "      <td>298</td>\n",
       "      <td>792</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>150</td>\n",
       "      <td>https://insights.blackcoffer.com/challenges-an...</td>\n",
       "      <td>to begin explain big data important life   bi...</td>\n",
       "      <td>to begin with i shall first like to explain w...</td>\n",
       "      <td>44</td>\n",
       "      <td>45</td>\n",
       "      <td>-0.011236</td>\n",
       "      <td>0.162706</td>\n",
       "      <td>65</td>\n",
       "      <td>1131</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>31</td>\n",
       "      <td>8.056375</td>\n",
       "      <td>547</td>\n",
       "      <td>1302</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>114 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     URL_ID                                                URL  \\\n",
       "0        37  https://insights.blackcoffer.com/ai-in-healthc...   \n",
       "1        38  https://insights.blackcoffer.com/what-if-the-c...   \n",
       "2        39  https://insights.blackcoffer.com/what-jobs-wil...   \n",
       "3        40  https://insights.blackcoffer.com/will-machine-...   \n",
       "4        41  https://insights.blackcoffer.com/will-ai-repla...   \n",
       "..      ...                                                ...   \n",
       "109     146  https://insights.blackcoffer.com/blockchain-fo...   \n",
       "110     147  https://insights.blackcoffer.com/the-future-of...   \n",
       "111     148  https://insights.blackcoffer.com/big-data-anal...   \n",
       "112     149  https://insights.blackcoffer.com/business-anal...   \n",
       "113     150  https://insights.blackcoffer.com/challenges-an...   \n",
       "\n",
       "                                         CleanedCorpus  \\\n",
       "0     introduction   if kill 10 million people deca...   \n",
       "1     human mind   fascination carrying potential t...   \n",
       "2     introduction rapidly evolving employment sect...   \n",
       "3       anything give rise smarter than human intel...   \n",
       "4       machine intelligence invention humanity mak...   \n",
       "..                                                 ...   \n",
       "109   reconciling financial reality mba education l...   \n",
       "110   an investment resource thing procured objecti...   \n",
       "111   quality affordable healthcare vision governme...   \n",
       "112   analytics statistical scientific process disc...   \n",
       "113   to begin explain big data important life   bi...   \n",
       "\n",
       "                                             RawCorpus  PositiveScore  \\\n",
       "0     introduction “ if anything kills over 10 mill...             80   \n",
       "1     human minds , a fascination in itself carryin...             76   \n",
       "2     introduction ai is rapidly evolving in the em...             68   \n",
       "3     “ anything that could give rise to smarter-th...             67   \n",
       "4     “ machine intelligence is the last invention ...             65   \n",
       "..                                                 ...            ...   \n",
       "109   reconciling with the financial realities of a...             23   \n",
       "110   an investment is a resource or thing procured...             36   \n",
       "111   quality and affordable healthcare is a vision...             39   \n",
       "112   analytics is a statistical scientific process...             37   \n",
       "113   to begin with i shall first like to explain w...             44   \n",
       "\n",
       "     NegativeScore  PolarityScore  SubjectivityScore  RawSenCount  \\\n",
       "0               37       0.367521           0.213894           77   \n",
       "1               38       0.333333           0.208410           79   \n",
       "2               42       0.236364           0.201097           84   \n",
       "3               31       0.367347           0.179159           92   \n",
       "4               27       0.413043           0.168190           82   \n",
       "..             ...            ...                ...          ...   \n",
       "109             28      -0.098039           0.093236           48   \n",
       "110             15       0.411765           0.093236           48   \n",
       "111             50      -0.123596           0.162706           65   \n",
       "112              6       0.720930           0.078611           25   \n",
       "113             45      -0.011236           0.162706           65   \n",
       "\n",
       "     RawWordCount  avgSenLen  complexCount  Fog Index  cleanWordCount  \\\n",
       "0            1993  25.883117            65  11.657813            1064   \n",
       "1            1630  20.632911            50   9.480158             660   \n",
       "2            1899  22.607143            64  10.390935             917   \n",
       "3            1765  19.184783            65   9.147001             729   \n",
       "4            1930  23.536585            65  10.761784             892   \n",
       "..            ...        ...           ...        ...             ...   \n",
       "109           980  20.416667            34   9.554422             515   \n",
       "110          1221  25.437500            32  11.223321             630   \n",
       "111          1255  19.307692            24   8.488017             646   \n",
       "112           616  24.640000            16  10.894961             298   \n",
       "113          1131  17.400000            31   8.056375             547   \n",
       "\n",
       "     syllables  PersonalPronouns  \n",
       "0         2704                 1  \n",
       "1         1477                 7  \n",
       "2         2355                 3  \n",
       "3         1708                18  \n",
       "4         2054                16  \n",
       "..         ...               ...  \n",
       "109       1129                 9  \n",
       "110       1443                 2  \n",
       "111       1521                 2  \n",
       "112        792                 0  \n",
       "113       1302                 8  \n",
       "\n",
       "[114 rows x 16 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "7d4824ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4351"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "f66e9066",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "751\n"
     ]
    }
   ],
   "source": [
    "c=0\n",
    "for i in corpus:\n",
    "    if i == ' ':\n",
    "        c+=1\n",
    "print(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "0d45b536",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3600"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(corpus.replace(' ',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "8c39b96c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3600"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "4351-751"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "ff088555",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>URL_ID</th>\n",
       "      <th>URL</th>\n",
       "      <th>CleanedCorpus</th>\n",
       "      <th>RawCorpus</th>\n",
       "      <th>RawSenCount</th>\n",
       "      <th>RawLenCount</th>\n",
       "      <th>avgSenLen</th>\n",
       "      <th>complexCount</th>\n",
       "      <th>RawWordCount</th>\n",
       "      <th>Fog Index</th>\n",
       "      <th>PositiveScore</th>\n",
       "      <th>NegativeScore</th>\n",
       "      <th>PolarityScore</th>\n",
       "      <th>SubjectivityScore</th>\n",
       "      <th>cleanWordCount</th>\n",
       "      <th>cleanSenCount</th>\n",
       "      <th>syllables</th>\n",
       "      <th>PersonalPronouns</th>\n",
       "      <th>charCount</th>\n",
       "      <th>AvgWordLen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>https://insights.blackcoffer.com/ai-in-healthc...</td>\n",
       "      <td>introduction   if kill 10 million people deca...</td>\n",
       "      <td>introduction “ if anything kills over 10 mill...</td>\n",
       "      <td>77</td>\n",
       "      <td>1993</td>\n",
       "      <td>25.883117</td>\n",
       "      <td>65</td>\n",
       "      <td>1993</td>\n",
       "      <td>11.657813</td>\n",
       "      <td>80</td>\n",
       "      <td>37</td>\n",
       "      <td>0.367521</td>\n",
       "      <td>0.213894</td>\n",
       "      <td>1064</td>\n",
       "      <td>1</td>\n",
       "      <td>2704</td>\n",
       "      <td>1</td>\n",
       "      <td>3600</td>\n",
       "      <td>1.806322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38</td>\n",
       "      <td>https://insights.blackcoffer.com/what-if-the-c...</td>\n",
       "      <td>human mind   fascination carrying potential t...</td>\n",
       "      <td>human minds , a fascination in itself carryin...</td>\n",
       "      <td>79</td>\n",
       "      <td>1630</td>\n",
       "      <td>20.632911</td>\n",
       "      <td>50</td>\n",
       "      <td>1630</td>\n",
       "      <td>9.480158</td>\n",
       "      <td>76</td>\n",
       "      <td>38</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.208410</td>\n",
       "      <td>660</td>\n",
       "      <td>1</td>\n",
       "      <td>1477</td>\n",
       "      <td>7</td>\n",
       "      <td>3600</td>\n",
       "      <td>2.208589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39</td>\n",
       "      <td>https://insights.blackcoffer.com/what-jobs-wil...</td>\n",
       "      <td>introduction rapidly evolving employment sect...</td>\n",
       "      <td>introduction ai is rapidly evolving in the em...</td>\n",
       "      <td>84</td>\n",
       "      <td>1899</td>\n",
       "      <td>22.607143</td>\n",
       "      <td>64</td>\n",
       "      <td>1899</td>\n",
       "      <td>10.390935</td>\n",
       "      <td>68</td>\n",
       "      <td>42</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.201097</td>\n",
       "      <td>917</td>\n",
       "      <td>1</td>\n",
       "      <td>2355</td>\n",
       "      <td>3</td>\n",
       "      <td>3600</td>\n",
       "      <td>1.895735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40</td>\n",
       "      <td>https://insights.blackcoffer.com/will-machine-...</td>\n",
       "      <td>anything give rise smarter than human intel...</td>\n",
       "      <td>“ anything that could give rise to smarter-th...</td>\n",
       "      <td>92</td>\n",
       "      <td>1765</td>\n",
       "      <td>19.184783</td>\n",
       "      <td>65</td>\n",
       "      <td>1765</td>\n",
       "      <td>9.147001</td>\n",
       "      <td>67</td>\n",
       "      <td>31</td>\n",
       "      <td>0.367347</td>\n",
       "      <td>0.179159</td>\n",
       "      <td>729</td>\n",
       "      <td>1</td>\n",
       "      <td>1708</td>\n",
       "      <td>18</td>\n",
       "      <td>3600</td>\n",
       "      <td>2.039660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41</td>\n",
       "      <td>https://insights.blackcoffer.com/will-ai-repla...</td>\n",
       "      <td>machine intelligence invention humanity mak...</td>\n",
       "      <td>“ machine intelligence is the last invention ...</td>\n",
       "      <td>82</td>\n",
       "      <td>1930</td>\n",
       "      <td>23.536585</td>\n",
       "      <td>65</td>\n",
       "      <td>1930</td>\n",
       "      <td>10.761784</td>\n",
       "      <td>65</td>\n",
       "      <td>27</td>\n",
       "      <td>0.413043</td>\n",
       "      <td>0.168190</td>\n",
       "      <td>892</td>\n",
       "      <td>1</td>\n",
       "      <td>2054</td>\n",
       "      <td>16</td>\n",
       "      <td>3600</td>\n",
       "      <td>1.865285</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   URL_ID                                                URL  \\\n",
       "0      37  https://insights.blackcoffer.com/ai-in-healthc...   \n",
       "1      38  https://insights.blackcoffer.com/what-if-the-c...   \n",
       "2      39  https://insights.blackcoffer.com/what-jobs-wil...   \n",
       "3      40  https://insights.blackcoffer.com/will-machine-...   \n",
       "4      41  https://insights.blackcoffer.com/will-ai-repla...   \n",
       "\n",
       "                                       CleanedCorpus  \\\n",
       "0   introduction   if kill 10 million people deca...   \n",
       "1   human mind   fascination carrying potential t...   \n",
       "2   introduction rapidly evolving employment sect...   \n",
       "3     anything give rise smarter than human intel...   \n",
       "4     machine intelligence invention humanity mak...   \n",
       "\n",
       "                                           RawCorpus  RawSenCount  \\\n",
       "0   introduction “ if anything kills over 10 mill...           77   \n",
       "1   human minds , a fascination in itself carryin...           79   \n",
       "2   introduction ai is rapidly evolving in the em...           84   \n",
       "3   “ anything that could give rise to smarter-th...           92   \n",
       "4   “ machine intelligence is the last invention ...           82   \n",
       "\n",
       "   RawLenCount  avgSenLen  complexCount  RawWordCount  Fog Index  \\\n",
       "0         1993  25.883117            65          1993  11.657813   \n",
       "1         1630  20.632911            50          1630   9.480158   \n",
       "2         1899  22.607143            64          1899  10.390935   \n",
       "3         1765  19.184783            65          1765   9.147001   \n",
       "4         1930  23.536585            65          1930  10.761784   \n",
       "\n",
       "   PositiveScore  NegativeScore  PolarityScore  SubjectivityScore  \\\n",
       "0             80             37       0.367521           0.213894   \n",
       "1             76             38       0.333333           0.208410   \n",
       "2             68             42       0.236364           0.201097   \n",
       "3             67             31       0.367347           0.179159   \n",
       "4             65             27       0.413043           0.168190   \n",
       "\n",
       "   cleanWordCount  cleanSenCount  syllables  PersonalPronouns  charCount  \\\n",
       "0            1064              1       2704                 1       3600   \n",
       "1             660              1       1477                 7       3600   \n",
       "2             917              1       2355                 3       3600   \n",
       "3             729              1       1708                18       3600   \n",
       "4             892              1       2054                16       3600   \n",
       "\n",
       "   AvgWordLen  \n",
       "0    1.806322  \n",
       "1    2.208589  \n",
       "2    1.895735  \n",
       "3    2.039660  \n",
       "4    1.865285  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "charCount=[]\n",
    "for corp in df['RawCorpus']:\n",
    "    charCount.append(len(corp.replace(' ','')))\n",
    "df['charCount']=charCount\n",
    "df['AvgWordLen']=df['charCount']/df['RawWordCount']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "399cbbb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://insights.blackcoffer.com/ai-in-healthcare-to-improve-patient-outcomes/'"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "23985c72",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('CleanedText')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6bfb128",
   "metadata": {},
   "outputs": [],
   "source": [
    "for corp in df['RawCorp']:\n",
    "    for sent in sent_tokenize(corp):\n",
    "        "
   ]
  }
 ],
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