우리은행_해커톤_연습_RNN_분류.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# data EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 목적. 라벨링이 되지 않은 데이터의 라벨링\n",
    "\n",
    "2. 분류 모델 -> 갤럭시 탭, 아이패드 , 기타의 분류.\n",
    "\n",
    "3. 아이패드만 모아서 구체적인 아이패드 모델의 분야를 분류\n",
    "\n",
    "4. 추가적인 모델링(rnn),auto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['자연어', '처리', '가', '너무', '재밌', '어서', '밥', '먹', '는', '것', '도', '가끔', '까먹', '어요']\n"
     ]
    }
   ],
   "source": [
    "from konlpy.tag import Mecab\n",
    "\n",
    "mecab = Mecab()\n",
    "print(mecab.morphs('자연어처리가너무재밌어서밥먹는것도가끔까먹어요'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "fontpath = '/usr/share/fonts/truetype/nanum/NanumBarunGothic.ttf'\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "path_to_file = os.getenv('HOME')+'/중고나라_탭_크롤링_100 (version 1).csv'\n",
    "\n",
    "data = pd.read_csv(path_to_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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>index</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>아이패드 프로 4세대 11 셀룰러 256GB + 펜슬 2세대</td>\n",
       "      <td>20:17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>갤럭시탭s7+ 256기가 와이파이 실버 (정품키보드포함) 팝니다</td>\n",
       "      <td>20:17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>아이패드 에서 4 11인치 와이파이+셀룰러 256기가 새상품급 + 매직키보드폴리오 ...</td>\n",
       "      <td>20:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>아이패드에어4 256GB 셀룰러+ WIFI 로즈골드 미개봉새상품 팝니다!!!</td>\n",
       "      <td>20:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>겔럭시 탭a 9.7 with s펜</td>\n",
       "      <td>20:15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5345</th>\n",
       "      <td>5345</td>\n",
       "      <td>아이패드 8세대 32GB Wi-Fi 스페이스 그레이 미개봉 팝니다.</td>\n",
       "      <td>21.04.21.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5346</th>\n",
       "      <td>5346</td>\n",
       "      <td>아이패드 8세대 + 애플펜슬 + 케이스 + 액정보호필름여분 판매합니다. Wifi 3...</td>\n",
       "      <td>21.04.21.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5347</th>\n",
       "      <td>5347</td>\n",
       "      <td>lg 10.1 v700n부품용 2만 판매합니다</td>\n",
       "      <td>21.04.21.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5348</th>\n",
       "      <td>5348</td>\n",
       "      <td>지패드3 10.1 LTE V755 팝니다</td>\n",
       "      <td>21.04.21.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5349</th>\n",
       "      <td>5349</td>\n",
       "      <td>아이패드 에어 4세대 및 프로 64기가 와이파이 모든색상 팝니다</td>\n",
       "      <td>21.04.21.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5350 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      index                                              title       date\n",
       "0         0                  아이패드 프로 4세대 11 셀룰러 256GB + 펜슬 2세대      20:17\n",
       "1         1                갤럭시탭s7+ 256기가 와이파이 실버 (정품키보드포함) 팝니다      20:17\n",
       "2         2  아이패드 에서 4 11인치 와이파이+셀룰러 256기가 새상품급 + 매직키보드폴리오 ...      20:16\n",
       "3         3         아이패드에어4 256GB 셀룰러+ WIFI 로즈골드 미개봉새상품 팝니다!!!      20:16\n",
       "4         4                                 겔럭시 탭a 9.7 with s펜      20:15\n",
       "...     ...                                                ...        ...\n",
       "5345   5345              아이패드 8세대 32GB Wi-Fi 스페이스 그레이 미개봉 팝니다.  21.04.21.\n",
       "5346   5346  아이패드 8세대 + 애플펜슬 + 케이스 + 액정보호필름여분 판매합니다. Wifi 3...  21.04.21.\n",
       "5347   5347                          lg 10.1 v700n부품용 2만 판매합니다  21.04.21.\n",
       "5348   5348                             지패드3 10.1 LTE V755 팝니다  21.04.21.\n",
       "5349   5349                아이패드 에어 4세대 및 프로 64기가 와이파이 모든색상 팝니다  21.04.21.\n",
       "\n",
       "[5350 rows x 3 columns]"
      ]
     },
     "execution_count": 290,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [],
   "source": [
    "tit = data.title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                       아이패드 프로 4세대 11 셀룰러 256GB + 펜슬 2세대\n",
       "1                     갤럭시탭s7+ 256기가 와이파이 실버 (정품키보드포함) 팝니다\n",
       "2       아이패드 에서 4 11인치 와이파이+셀룰러 256기가 새상품급 + 매직키보드폴리오 ...\n",
       "3              아이패드에어4 256GB 셀룰러+ WIFI 로즈골드 미개봉새상품 팝니다!!!\n",
       "4                                      겔럭시 탭a 9.7 with s펜\n",
       "                              ...                        \n",
       "5345                아이패드 8세대 32GB Wi-Fi 스페이스 그레이 미개봉 팝니다.\n",
       "5346    아이패드 8세대 + 애플펜슬 + 케이스 + 액정보호필름여분 판매합니다. Wifi 3...\n",
       "5347                            lg 10.1 v700n부품용 2만 판매합니다\n",
       "5348                               지패드3 10.1 LTE V755 팝니다\n",
       "5349                  아이패드 에어 4세대 및 프로 64기가 와이파이 모든색상 팝니다\n",
       "Name: title, Length: 5350, dtype: object"
      ]
     },
     "execution_count": 294,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "<\n",
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      "k\n",
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      "A\n",
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      "*\n",
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      "[\n",
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      "(\n",
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      "듀\n",
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      "정\n",
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      "<\n",
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      "상\n",
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      "[\n",
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      "갤\n",
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      "아\n",
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      "L\n",
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      "서\n",
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      "(\n",
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      "울\n",
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      "[\n",
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      "아\n",
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      "츄\n",
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      "(\n",
      "<class 'str'>\n",
      "801\n",
      "엘\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
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      "L\n",
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      "[\n",
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      "아\n",
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      "아\n",
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      "(\n",
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      "갤\n",
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      "갤\n",
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      "(\n",
      "<class 'str'>\n",
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      "하\n",
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      "L\n",
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      "(\n",
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      "대\n",
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      "G\n",
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      "갤\n",
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      "[\n",
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      "아\n",
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      "아\n",
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      "[\n",
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      "갤\n",
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      "겔\n",
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      "아\n",
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      "하\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
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      "L\n",
      "<class 'str'>\n",
      "909\n",
      "고\n",
      "<class 'str'>\n",
      "910\n",
      "[\n",
      "<class 'str'>\n",
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      "[\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "913\n",
      "아\n",
      "<class 'str'>\n",
      "914\n",
      "에\n",
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      "아\n",
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      "아\n",
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      "아\n",
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      "L\n",
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      "(\n",
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      "i\n",
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      "크\n",
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      "갤\n",
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      "보\n",
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      "[\n",
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      "아\n",
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      "아\n",
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     "output_type": "stream",
     "text": [
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      "리\n",
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      "[\n",
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      "(\n",
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      "리\n",
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      "인\n",
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      "[\n",
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      "7\n",
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      "L\n",
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      "A\n",
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      "경\n",
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      "아\n",
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      "갤\n",
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      "올\n",
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      "아\n",
      "<class 'str'>\n",
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      "(\n",
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      "아\n",
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      "거\n",
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      "아\n",
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      "갤\n",
      "<class 'str'>\n",
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      "요\n",
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      "L\n",
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      "1404\n",
      "재\n",
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      "갤\n",
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      "아\n",
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      "갤\n",
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      "아\n",
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      "G\n",
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      "1412\n",
      "g\n",
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      "1413\n",
      "아\n",
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      "대\n",
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      "[\n",
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      "2\n",
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      "s\n",
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      "서\n",
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      "[\n",
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      "<class 'str'>\n",
      "1529\n",
      "미\n",
      "<class 'str'>\n",
      "1530\n",
      "와\n",
      "<class 'str'>\n",
      "1531\n",
      "아\n",
      "<class 'str'>\n",
      "1532\n",
      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "[\n",
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      "아\n",
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      "갤\n",
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      "갤\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
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      "휴\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
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      "[\n",
      "<class 'str'>\n",
      "1548\n",
      "아\n",
      "<class 'str'>\n",
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      "화\n",
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      "아\n",
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      "레\n",
      "<class 'str'>\n",
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      "(\n",
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      "아\n",
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      "갤\n",
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      "갤\n",
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      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "1560\n",
      "아\n",
      "<class 'str'>\n",
      "1561\n",
      "[\n",
      "<class 'str'>\n",
      "1562\n",
      "g\n",
      "<class 'str'>\n",
      "1563\n",
      "애\n",
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      "갤\n",
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      "서\n",
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      "아\n",
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      "1570\n",
      "아\n",
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      "가\n",
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      "아\n",
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      "갤\n",
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      "레\n",
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      "아\n",
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      "아\n",
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      "갤\n",
      "<class 'str'>\n",
      "1589\n",
      "V\n",
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      "1590\n",
      "아\n",
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      "1591\n",
      "갤\n",
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      "갤\n",
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      "아\n",
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      "1600\n",
      "갤\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "(\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "1607\n",
      "뇌\n",
      "<class 'str'>\n",
      "1608\n",
      "[\n",
      "<class 'str'>\n",
      "1609\n",
      "아\n",
      "<class 'str'>\n",
      "1610\n",
      "a\n",
      "<class 'str'>\n",
      "1611\n",
      "아\n",
      "<class 'str'>\n",
      "1612\n",
      "아\n",
      "<class 'str'>\n",
      "1613\n",
      "페\n",
      "<class 'str'>\n",
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      "애\n",
      "<class 'str'>\n",
      "1615\n",
      "아\n",
      "<class 'str'>\n",
      "1616\n",
      "k\n",
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      "갤\n",
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      "아\n",
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      "아\n",
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      "갤\n",
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      "모\n",
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      "갤\n",
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      "아\n",
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      "미\n",
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      "아\n",
      "<class 'str'>\n",
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      "(\n",
      "<class 'str'>\n",
      "1627\n",
      "[\n",
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      "1628\n",
      "아\n",
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      "화\n",
      "<class 'str'>\n",
      "1630\n",
      "교\n",
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      "아\n",
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      "코\n",
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      "갤\n",
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      "갤\n",
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      "갤\n",
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      "아\n",
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      "삼\n",
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      "뉴\n",
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      "레\n",
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      "아\n",
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      "갤\n",
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      "갤\n",
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      "구\n",
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      "아\n",
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      "아\n",
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      "아\n",
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      "아\n",
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      "갤\n",
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      "갤\n",
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      "미\n",
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      "아\n",
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      "애\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
      "1660\n",
      "아\n",
      "<class 'str'>\n",
      "1661\n",
      "[\n",
      "<class 'str'>\n",
      "1662\n",
      "아\n",
      "<class 'str'>\n",
      "1663\n",
      "아\n",
      "<class 'str'>\n",
      "1664\n",
      "단\n",
      "<class 'str'>\n",
      "1665\n",
      "아\n",
      "<class 'str'>\n",
      "1666\n",
      "아\n",
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      "아\n",
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      "1668\n",
      "아\n",
      "<class 'str'>\n",
      "1669\n",
      "아\n",
      "<class 'str'>\n",
      "1670\n",
      "갤\n",
      "<class 'str'>\n",
      "1671\n",
      "부\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "1674\n",
      "겔\n",
      "<class 'str'>\n",
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      "아\n",
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      "갤\n",
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      "애\n",
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      "아\n",
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      "갤\n",
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      "(\n",
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      "갤\n",
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      "아\n",
      "<class 'str'>\n",
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      "갤\n",
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      "1691\n",
      "레\n",
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      "오\n",
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      "아\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
      "1696\n",
      "아\n",
      "<class 'str'>\n",
      "1697\n",
      "뇌\n",
      "<class 'str'>\n",
      "1698\n",
      "(\n",
      "<class 'str'>\n",
      "1699\n",
      "로\n",
      "<class 'str'>\n",
      "1700\n",
      "갤\n",
      "<class 'str'>\n",
      "1701\n",
      "서\n",
      "<class 'str'>\n",
      "1702\n",
      "아\n",
      "<class 'str'>\n",
      "1703\n",
      "늑\n",
      "<class 'str'>\n",
      "1704\n",
      "와\n",
      "<class 'str'>\n",
      "1705\n",
      "[\n",
      "<class 'str'>\n",
      "1706\n",
      "태\n",
      "<class 'str'>\n",
      "1707\n",
      "아\n",
      "<class 'str'>\n",
      "1708\n",
      "갤\n",
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      "갤\n",
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      "갤\n",
      "<class 'str'>\n",
      "1711\n",
      "태\n",
      "<class 'str'>\n",
      "1712\n",
      "[\n",
      "<class 'str'>\n",
      "1713\n",
      "E\n",
      "<class 'str'>\n",
      "1714\n",
      "아\n",
      "<class 'str'>\n",
      "1715\n",
      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "1717\n",
      "지\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
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      "1720\n",
      "미\n",
      "<class 'str'>\n",
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      "갤\n",
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      "아\n",
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      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "1725\n",
      "C\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "1728\n",
      "s\n",
      "<class 'str'>\n",
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      "갤\n",
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      "1730\n",
      "아\n",
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      "갤\n",
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      "갤\n",
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      "아\n",
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      "1737\n",
      "비\n",
      "<class 'str'>\n",
      "1738\n",
      "인\n",
      "<class 'str'>\n",
      "1739\n",
      "[\n",
      "<class 'str'>\n",
      "1740\n",
      "와\n",
      "<class 'str'>\n",
      "1741\n",
      "아\n",
      "<class 'str'>\n",
      "1742\n",
      "아\n",
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      "아\n",
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      "갤\n",
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      "갤\n",
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      "1746\n",
      "웅\n",
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      "웅\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "1749\n",
      "갤\n",
      "<class 'str'>\n",
      "1750\n",
      "디\n",
      "<class 'str'>\n",
      "1751\n",
      "새\n",
      "<class 'str'>\n",
      "1752\n",
      "아\n",
      "<class 'str'>\n",
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      "아\n",
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      "갤\n",
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      "갤\n",
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      "갤\n",
      "<class 'str'>\n",
      "1759\n",
      "에\n",
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      "갤\n",
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      "아\n",
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      "미\n",
      "<class 'str'>\n",
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      "갤\n",
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      "아\n",
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      "아\n",
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      "상\n",
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      "아\n",
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      "유\n",
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      "아\n",
      "<class 'str'>\n",
      "1774\n",
      "[\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "1776\n",
      "[\n",
      "<class 'str'>\n",
      "1777\n",
      "대\n",
      "<class 'str'>\n",
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      "애\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
      "1780\n",
      "M\n",
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      "갤\n",
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      "[\n",
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      "[\n",
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      "(\n",
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      "갤\n",
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      "1800\n",
      "아\n",
      "<class 'str'>\n",
      "1801\n",
      "매\n",
      "<class 'str'>\n",
      "1802\n",
      "수\n",
      "<class 'str'>\n",
      "1803\n",
      "아\n",
      "<class 'str'>\n",
      "1804\n",
      "삼\n",
      "<class 'str'>\n",
      "1805\n",
      "갤\n",
      "<class 'str'>\n",
      "1806\n",
      "[\n",
      "<class 'str'>\n",
      "1807\n",
      "아\n",
      "<class 'str'>\n",
      "1808\n",
      "아\n",
      "<class 'str'>\n",
      "1809\n",
      "[\n",
      "<class 'str'>\n",
      "1810\n",
      "아\n",
      "<class 'str'>\n",
      "1811\n",
      "아\n",
      "<class 'str'>\n",
      "1812\n",
      "아\n",
      "<class 'str'>\n",
      "1813\n",
      "아\n",
      "<class 'str'>\n",
      "1814\n",
      "[\n",
      "<class 'str'>\n",
      "1815\n",
      "아\n",
      "<class 'str'>\n",
      "1816\n",
      "아\n",
      "<class 'str'>\n",
      "1817\n",
      "수\n",
      "<class 'str'>\n",
      "1818\n",
      "휴\n",
      "<class 'str'>\n",
      "1819\n",
      "애\n",
      "<class 'str'>\n",
      "1820\n",
      "삼\n",
      "<class 'str'>\n",
      "1821\n",
      "아\n",
      "<class 'str'>\n",
      "1822\n",
      "갤\n",
      "<class 'str'>\n",
      "1823\n",
      "[\n",
      "<class 'str'>\n",
      "1824\n",
      "갤\n",
      "<class 'str'>\n",
      "1825\n",
      "와\n",
      "<class 'str'>\n",
      "1826\n",
      "아\n",
      "<class 'str'>\n",
      "1827\n",
      "갤\n",
      "<class 'str'>\n",
      "1828\n",
      "아\n",
      "<class 'str'>\n",
      "1829\n",
      "아\n",
      "<class 'str'>\n",
      "1830\n",
      "아\n",
      "<class 'str'>\n",
      "1831\n",
      "갤\n",
      "<class 'str'>\n",
      "1832\n",
      "아\n",
      "<class 'str'>\n",
      "1833\n",
      "아\n",
      "<class 'str'>\n",
      "1834\n",
      "아\n",
      "<class 'str'>\n",
      "1835\n",
      "아\n",
      "<class 'str'>\n",
      "1836\n",
      "아\n",
      "<class 'str'>\n",
      "1837\n",
      "아\n",
      "<class 'str'>\n",
      "1838\n",
      "[\n",
      "<class 'str'>\n",
      "1839\n",
      "갤\n",
      "<class 'str'>\n",
      "1840\n",
      "아\n",
      "<class 'str'>\n",
      "1841\n",
      "가\n",
      "<class 'str'>\n",
      "1842\n",
      "아\n",
      "<class 'str'>\n",
      "1843\n",
      "s\n",
      "<class 'str'>\n",
      "1844\n",
      "거\n",
      "<class 'str'>\n",
      "1845\n",
      "라\n",
      "<class 'str'>\n",
      "1846\n",
      "아\n",
      "<class 'str'>\n",
      "1847\n",
      "웅\n",
      "<class 'str'>\n",
      "1848\n",
      "L\n",
      "<class 'str'>\n",
      "1849\n",
      "아\n",
      "<class 'str'>\n",
      "1850\n",
      "삼\n",
      "<class 'str'>\n",
      "1851\n",
      "(\n",
      "<class 'str'>\n",
      "1852\n",
      "(\n",
      "<class 'str'>\n",
      "1853\n",
      "와\n",
      "<class 'str'>\n",
      "1854\n",
      "아\n",
      "<class 'str'>\n",
      "1855\n",
      "갤\n",
      "<class 'str'>\n",
      "1856\n",
      "[\n",
      "<class 'str'>\n",
      "1857\n",
      "뮤\n",
      "<class 'str'>\n",
      "1858\n",
      "아\n",
      "<class 'str'>\n",
      "1859\n",
      "갤\n",
      "<class 'str'>\n",
      "1860\n",
      "갤\n",
      "<class 'str'>\n",
      "1861\n",
      "아\n",
      "<class 'str'>\n",
      "1862\n",
      "구\n",
      "<class 'str'>\n",
      "1863\n",
      "갤\n",
      "<class 'str'>\n",
      "1864\n",
      "[\n",
      "<class 'str'>\n",
      "1865\n",
      "아\n",
      "<class 'str'>\n",
      "1866\n",
      "[\n",
      "<class 'str'>\n",
      "1867\n",
      "갤\n",
      "<class 'str'>\n",
      "1868\n",
      "아\n",
      "<class 'str'>\n",
      "1869\n",
      "애\n",
      "<class 'str'>\n",
      "1870\n",
      "갤\n",
      "<class 'str'>\n",
      "1871\n",
      "삼\n",
      "<class 'str'>\n",
      "1872\n",
      "아\n",
      "<class 'str'>\n",
      "1873\n",
      "아\n",
      "<class 'str'>\n",
      "1874\n",
      "애\n",
      "<class 'str'>\n",
      "1875\n",
      "[\n",
      "<class 'str'>\n",
      "1876\n",
      "아\n",
      "<class 'str'>\n",
      "1877\n",
      "아\n",
      "<class 'str'>\n",
      "1878\n",
      "아\n",
      "<class 'str'>\n",
      "1879\n",
      "구\n",
      "<class 'str'>\n",
      "1880\n",
      "주\n",
      "<class 'str'>\n",
      "1881\n",
      "[\n",
      "<class 'str'>\n",
      "1882\n",
      "오\n",
      "<class 'str'>\n",
      "1883\n",
      "아\n",
      "<class 'str'>\n",
      "1884\n",
      "아\n",
      "<class 'str'>\n",
      "1885\n",
      "서\n",
      "<class 'str'>\n",
      "1886\n",
      "갤\n",
      "<class 'str'>\n",
      "1887\n",
      "갤\n",
      "<class 'str'>\n",
      "1888\n",
      "리\n",
      "<class 'str'>\n",
      "1889\n",
      "s\n",
      "<class 'str'>\n",
      "1890\n",
      "A\n",
      "<class 'str'>\n",
      "1891\n",
      "V\n",
      "<class 'str'>\n",
      "1892\n",
      "아\n",
      "<class 'str'>\n",
      "1893\n",
      "아\n",
      "<class 'str'>\n",
      "1894\n",
      "아\n",
      "<class 'str'>\n",
      "1895\n",
      "갤\n",
      "<class 'str'>\n",
      "1896\n",
      "갤\n",
      "<class 'str'>\n",
      "1897\n",
      "아\n",
      "<class 'str'>\n",
      "1898\n",
      "[\n",
      "<class 'str'>\n",
      "1899\n",
      "천\n",
      "<class 'str'>\n",
      "1900\n",
      "아\n",
      "<class 'str'>\n",
      "1901\n",
      "아\n",
      "<class 'str'>\n",
      "1902\n",
      "아\n",
      "<class 'str'>\n",
      "1903\n",
      "아\n",
      "<class 'str'>\n",
      "1904\n",
      "크\n",
      "<class 'str'>\n",
      "1905\n",
      "아\n",
      "<class 'str'>\n",
      "1906\n",
      "갤\n",
      "<class 'str'>\n",
      "1907\n",
      "아\n",
      "<class 'str'>\n",
      "1908\n",
      "갤\n",
      "<class 'str'>\n",
      "1909\n",
      "아\n",
      "<class 'str'>\n",
      "1910\n",
      "삼\n",
      "<class 'str'>\n",
      "1911\n",
      "아\n",
      "<class 'str'>\n",
      "1912\n",
      "갤\n",
      "<class 'str'>\n",
      "1913\n",
      "아\n",
      "<class 'str'>\n",
      "1914\n",
      "미\n",
      "<class 'str'>\n",
      "1915\n",
      "S\n",
      "<class 'str'>\n",
      "1916\n",
      "갤\n",
      "<class 'str'>\n",
      "1917\n",
      "마\n",
      "<class 'str'>\n",
      "1918\n",
      "크\n",
      "<class 'str'>\n",
      "1919\n",
      "갤\n",
      "<class 'str'>\n",
      "1920\n",
      "(\n",
      "<class 'str'>\n",
      "1921\n",
      "아\n",
      "<class 'str'>\n",
      "1922\n",
      "아\n",
      "<class 'str'>\n",
      "1923\n",
      "아\n",
      "<class 'str'>\n",
      "1924\n",
      "(\n",
      "<class 'str'>\n",
      "1925\n",
      "[\n",
      "<class 'str'>\n",
      "1926\n",
      "아\n",
      "<class 'str'>\n",
      "1927\n",
      "아\n",
      "<class 'str'>\n",
      "1928\n",
      "아\n",
      "<class 'str'>\n",
      "1929\n",
      "캘\n",
      "<class 'str'>\n",
      "1930\n",
      "[\n",
      "<class 'str'>\n",
      "1931\n",
      "(\n",
      "<class 'str'>\n",
      "1932\n",
      "L\n",
      "<class 'str'>\n",
      "1933\n",
      "갤\n",
      "<class 'str'>\n",
      "1934\n",
      "갤\n",
      "<class 'str'>\n",
      "1935\n",
      "갤\n",
      "<class 'str'>\n",
      "1936\n",
      "아\n",
      "<class 'str'>\n",
      "1937\n",
      "갤\n",
      "<class 'str'>\n",
      "1938\n",
      "아\n",
      "<class 'str'>\n",
      "1939\n",
      "아\n",
      "<class 'str'>\n",
      "1940\n",
      "아\n",
      "<class 'str'>\n",
      "1941\n",
      "갤\n",
      "<class 'str'>\n",
      "1942\n",
      "갤\n",
      "<class 'str'>\n",
      "1943\n",
      "아\n",
      "<class 'str'>\n",
      "1944\n",
      "아\n",
      "<class 'str'>\n",
      "1945\n",
      "아\n",
      "<class 'str'>\n",
      "1946\n",
      "아\n",
      "<class 'str'>\n",
      "1947\n",
      "갤\n",
      "<class 'str'>\n",
      "1948\n",
      "a\n",
      "<class 'str'>\n",
      "1949\n",
      "상\n",
      "<class 'str'>\n",
      "1950\n",
      "웅\n",
      "<class 'str'>\n",
      "1951\n",
      "아\n",
      "<class 'str'>\n",
      "1952\n",
      "갤\n",
      "<class 'str'>\n",
      "1953\n",
      "F\n",
      "<class 'str'>\n",
      "1954\n",
      "아\n",
      "<class 'str'>\n",
      "1955\n",
      "삼\n",
      "<class 'str'>\n",
      "1956\n",
      "아\n",
      "<class 'str'>\n",
      "1957\n",
      "뉴\n",
      "<class 'str'>\n",
      "1958\n",
      "갤\n",
      "<class 'str'>\n",
      "1959\n",
      "아\n",
      "<class 'str'>\n",
      "1960\n",
      "갤\n",
      "<class 'str'>\n",
      "1961\n",
      "아\n",
      "<class 'str'>\n",
      "1962\n",
      "아\n",
      "<class 'str'>\n",
      "1963\n",
      "갤\n",
      "<class 'str'>\n",
      "1964\n",
      "갤\n",
      "<class 'str'>\n",
      "1965\n",
      "부\n",
      "<class 'str'>\n",
      "1966\n",
      "S\n",
      "<class 'str'>\n",
      "1967\n",
      "아\n",
      "<class 'str'>\n",
      "1968\n",
      "인\n",
      "<class 'str'>\n",
      "1969\n",
      "리\n",
      "<class 'str'>\n",
      "1970\n",
      "갤\n",
      "<class 'str'>\n",
      "1971\n",
      "엠\n",
      "<class 'str'>\n",
      "1972\n",
      "갤\n",
      "<class 'str'>\n",
      "1973\n",
      "상\n",
      "<class 'str'>\n",
      "1974\n",
      "아\n",
      "<class 'str'>\n",
      "1975\n",
      "아\n",
      "<class 'str'>\n",
      "1976\n",
      "아\n",
      "<class 'str'>\n",
      "1977\n",
      "애\n",
      "<class 'str'>\n",
      "1978\n",
      "아\n",
      "<class 'str'>\n",
      "1979\n",
      "갤\n",
      "<class 'str'>\n",
      "1980\n",
      "아\n",
      "<class 'str'>\n",
      "1981\n",
      "갤\n",
      "<class 'str'>\n",
      "1982\n",
      "아\n",
      "<class 'str'>\n",
      "1983\n",
      "(\n",
      "<class 'str'>\n",
      "1984\n",
      "G\n",
      "<class 'str'>\n",
      "1985\n",
      "[\n",
      "<class 'str'>\n",
      "1986\n",
      "아\n",
      "<class 'str'>\n",
      "1987\n",
      "아\n",
      "<class 'str'>\n",
      "1988\n",
      "아\n",
      "<class 'str'>\n",
      "1989\n",
      "갤\n",
      "<class 'str'>\n",
      "1990\n",
      "갤\n",
      "<class 'str'>\n",
      "1991\n",
      "[\n",
      "<class 'str'>\n",
      "1992\n",
      "아\n",
      "<class 'str'>\n",
      "1993\n",
      "아\n",
      "<class 'str'>\n",
      "1994\n",
      "부\n",
      "<class 'str'>\n",
      "1995\n",
      "[\n",
      "<class 'str'>\n",
      "1996\n",
      "l\n",
      "<class 'str'>\n",
      "1997\n",
      "아\n",
      "<class 'str'>\n",
      "1998\n",
      "(\n",
      "<class 'str'>\n",
      "1999\n",
      "아\n",
      "<class 'str'>\n",
      "2000\n",
      "갤\n",
      "<class 'str'>\n",
      "2001\n",
      "방\n",
      "<class 'str'>\n",
      "2002\n",
      "부\n",
      "<class 'str'>\n",
      "2003\n",
      "아\n",
      "<class 'str'>\n",
      "2004\n",
      "아\n",
      "<class 'str'>\n",
      "2005\n",
      "아\n",
      "<class 'str'>\n",
      "2006\n",
      "갤\n",
      "<class 'str'>\n",
      "2007\n",
      "y\n",
      "<class 'str'>\n",
      "2008\n",
      "레\n",
      "<class 'str'>\n",
      "2009\n",
      "아\n",
      "<class 'str'>\n",
      "2010\n",
      "(\n",
      "<class 'str'>\n",
      "2011\n",
      "와\n",
      "<class 'str'>\n",
      "2012\n",
      "G\n",
      "<class 'str'>\n",
      "2013\n",
      "갤\n",
      "<class 'str'>\n",
      "2014\n",
      "아\n",
      "<class 'str'>\n",
      "2015\n",
      "아\n",
      "<class 'str'>\n",
      "2016\n",
      "갤\n",
      "<class 'str'>\n",
      "2017\n",
      "미\n",
      "<class 'str'>\n",
      "2018\n",
      "아\n",
      "<class 'str'>\n",
      "2019\n",
      "갤\n",
      "<class 'str'>\n",
      "2020\n",
      "갤\n",
      "<class 'str'>\n",
      "2021\n",
      "탭\n",
      "<class 'str'>\n",
      "2022\n",
      "아\n",
      "<class 'str'>\n",
      "2023\n",
      "아\n",
      "<class 'str'>\n",
      "2024\n",
      "판\n",
      "<class 'str'>\n",
      "2025\n",
      "아\n",
      "<class 'str'>\n",
      "2026\n",
      "아\n",
      "<class 'str'>\n",
      "2027\n",
      "아\n",
      "<class 'str'>\n",
      "2028\n",
      "(\n",
      "<class 'str'>\n",
      "2029\n",
      "아\n",
      "<class 'str'>\n",
      "2030\n",
      "매\n",
      "<class 'str'>\n",
      "2031\n",
      "[\n",
      "<class 'str'>\n",
      "2032\n",
      "[\n",
      "<class 'str'>\n",
      "2033\n",
      "아\n",
      "<class 'str'>\n",
      "2034\n",
      "[\n",
      "<class 'str'>\n",
      "2035\n",
      "갤\n",
      "<class 'str'>\n",
      "2036\n",
      "S\n",
      "<class 'str'>\n",
      "2037\n",
      "와\n",
      "<class 'str'>\n",
      "2038\n",
      "(\n",
      "<class 'str'>\n",
      "2039\n",
      "아\n",
      "<class 'str'>\n",
      "2040\n",
      "아\n",
      "<class 'str'>\n",
      "2041\n",
      "갤\n",
      "<class 'str'>\n",
      "2042\n",
      "애\n",
      "<class 'str'>\n",
      "2043\n",
      "[\n",
      "<class 'str'>\n",
      "2044\n",
      "아\n",
      "<class 'str'>\n",
      "2045\n",
      "아\n",
      "<class 'str'>\n",
      "2046\n",
      "엠\n",
      "<class 'str'>\n",
      "2047\n",
      "갤\n",
      "<class 'str'>\n",
      "2048\n",
      "갤\n",
      "<class 'str'>\n",
      "2049\n",
      "갤\n",
      "<class 'str'>\n",
      "2050\n",
      "아\n",
      "<class 'str'>\n",
      "2051\n",
      "갤\n",
      "<class 'str'>\n",
      "2052\n",
      "아\n",
      "<class 'str'>\n",
      "2053\n",
      "아\n",
      "<class 'str'>\n",
      "2054\n",
      "아\n",
      "<class 'str'>\n",
      "2055\n",
      "아\n",
      "<class 'str'>\n",
      "2056\n",
      "아\n",
      "<class 'str'>\n",
      "2057\n",
      "아\n",
      "<class 'str'>\n",
      "2058\n",
      "갤\n",
      "<class 'str'>\n",
      "2059\n",
      "아\n",
      "<class 'str'>\n",
      "2060\n",
      "갤\n",
      "<class 'str'>\n",
      "2061\n",
      "갤\n",
      "<class 'str'>\n",
      "2062\n",
      "갤\n",
      "<class 'str'>\n",
      "2063\n",
      "갤\n",
      "<class 'str'>\n",
      "2064\n",
      "갤\n",
      "<class 'str'>\n",
      "2065\n",
      "아\n",
      "<class 'str'>\n",
      "2066\n",
      "아\n",
      "<class 'str'>\n",
      "2067\n",
      "갤\n",
      "<class 'str'>\n",
      "2068\n",
      "아\n",
      "<class 'str'>\n",
      "2069\n",
      "갤\n",
      "<class 'str'>\n",
      "2070\n",
      "갤\n",
      "<class 'str'>\n",
      "2071\n",
      "아\n",
      "<class 'str'>\n",
      "2072\n",
      "아\n",
      "<class 'str'>\n",
      "2073\n",
      "아\n",
      "<class 'str'>\n",
      "2074\n",
      "갤\n",
      "<class 'str'>\n",
      "2075\n",
      "아\n",
      "<class 'str'>\n",
      "2076\n",
      "갤\n",
      "<class 'str'>\n",
      "2077\n",
      "아\n",
      "<class 'str'>\n",
      "2078\n",
      "아\n",
      "<class 'str'>\n",
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      "갤\n",
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      "갤\n",
      "<class 'str'>\n",
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      "정\n",
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      "<\n",
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      "갤\n",
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      "리\n",
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      "(\n",
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      "[\n",
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      "아\n",
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      "아\n",
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      "지\n",
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      "갤\n",
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      "2110\n",
      "레\n",
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      "갤\n",
      "<class 'str'>\n",
      "2112\n",
      "(\n",
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      "아\n",
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      "아\n",
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      "H\n",
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      "갤\n",
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      "갤\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
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      "(\n",
      "<class 'str'>\n",
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      "신\n",
      "<class 'str'>\n",
      "2130\n",
      "교\n",
      "<class 'str'>\n",
      "2131\n",
      "아\n",
      "<class 'str'>\n",
      "2132\n",
      "[\n",
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      "아\n",
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      "아\n",
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      "갤\n",
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      "갤\n",
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      "아\n",
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      "갤\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
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      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "갤\n",
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      "2150\n",
      "서\n",
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      "아\n",
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      "아\n",
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      "갤\n",
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      "아\n",
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      "아\n",
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      "카\n",
      "<class 'str'>\n",
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      "(\n",
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      "아\n",
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      "서\n",
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      "아\n",
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      "아\n",
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      "갤\n",
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      "아\n",
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      "매\n",
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      "아\n",
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      "갤\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
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      "(\n",
      "<class 'str'>\n",
      "2178\n",
      "아\n",
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      "2179\n",
      "갤\n",
      "<class 'str'>\n",
      "2180\n",
      "아\n",
      "<class 'str'>\n",
      "2181\n",
      "아\n",
      "<class 'str'>\n",
      "2182\n",
      "[\n",
      "<class 'str'>\n",
      "2183\n",
      "아\n",
      "<class 'str'>\n",
      "2184\n",
      "아\n",
      "<class 'str'>\n",
      "2185\n",
      "아\n",
      "<class 'str'>\n",
      "2186\n",
      "C\n",
      "<class 'str'>\n",
      "2187\n",
      "아\n",
      "<class 'str'>\n",
      "2188\n",
      "하\n",
      "<class 'str'>\n",
      "2189\n",
      "아\n",
      "<class 'str'>\n",
      "2190\n",
      "갤\n",
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      "아\n",
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      "갤\n",
      "<class 'str'>\n",
      "2193\n",
      "갤\n",
      "<class 'str'>\n",
      "2194\n",
      "g\n",
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      "갤\n",
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      "2198\n",
      "인\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2200\n",
      "[\n",
      "<class 'str'>\n",
      "2201\n",
      "L\n",
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      "2202\n",
      "아\n",
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      "갤\n",
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      "갤\n",
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      "갤\n",
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      "[\n",
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      "2207\n",
      "아\n",
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      "2208\n",
      "삼\n",
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      "2209\n",
      "와\n",
      "<class 'str'>\n",
      "2210\n",
      "아\n",
      "<class 'str'>\n",
      "2211\n",
      "아\n",
      "<class 'str'>\n",
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      "지\n",
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      "아\n",
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      "갤\n",
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      "2216\n",
      "갤\n",
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      "아\n",
      "<class 'str'>\n",
      "2218\n",
      "<\n",
      "<class 'str'>\n",
      "2219\n",
      "갤\n",
      "<class 'str'>\n",
      "2220\n",
      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
      "2222\n",
      "s\n",
      "<class 'str'>\n",
      "2223\n",
      "아\n",
      "<class 'str'>\n",
      "2224\n",
      "아\n",
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      "2225\n",
      "아\n",
      "<class 'str'>\n",
      "2226\n",
      "아\n",
      "<class 'str'>\n",
      "2227\n",
      "웅\n",
      "<class 'str'>\n",
      "2228\n",
      "아\n",
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      "아\n",
      "<class 'str'>\n",
      "2230\n",
      "아\n",
      "<class 'str'>\n",
      "2231\n",
      "아\n",
      "<class 'str'>\n",
      "2232\n",
      "[\n",
      "<class 'str'>\n",
      "2233\n",
      "와\n",
      "<class 'str'>\n",
      "2234\n",
      "아\n",
      "<class 'str'>\n",
      "2235\n",
      "대\n",
      "<class 'str'>\n",
      "2236\n",
      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
      "2238\n",
      "[\n",
      "<class 'str'>\n",
      "2239\n",
      "갤\n",
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      "2240\n",
      "아\n",
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      "아\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
      "2244\n",
      "i\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2246\n",
      "와\n",
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      "아\n",
      "<class 'str'>\n",
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      "와\n",
      "<class 'str'>\n",
      "2249\n",
      "k\n",
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      "2250\n",
      "갤\n",
      "<class 'str'>\n",
      "2251\n",
      "아\n",
      "<class 'str'>\n",
      "2252\n",
      "미\n",
      "<class 'str'>\n",
      "2253\n",
      "(\n",
      "<class 'str'>\n",
      "2254\n",
      "아\n",
      "<class 'str'>\n",
      "2255\n",
      "아\n",
      "<class 'str'>\n",
      "2256\n",
      "(\n",
      "<class 'str'>\n",
      "2257\n",
      "아\n",
      "<class 'str'>\n",
      "2258\n",
      "[\n",
      "<class 'str'>\n",
      "2259\n",
      "(\n",
      "<class 'str'>\n",
      "2260\n",
      "[\n",
      "<class 'str'>\n",
      "2261\n",
      "(\n",
      "<class 'str'>\n",
      "2262\n",
      "아\n",
      "<class 'str'>\n",
      "2263\n",
      "아\n",
      "<class 'str'>\n",
      "2264\n",
      "실\n",
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      "2265\n",
      "아\n",
      "<class 'str'>\n",
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      "갤\n",
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      "지\n",
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      "2269\n",
      "아\n",
      "<class 'str'>\n",
      "2270\n",
      "갤\n",
      "<class 'str'>\n",
      "2271\n",
      "갤\n",
      "<class 'str'>\n",
      "2272\n",
      "단\n",
      "<class 'str'>\n",
      "2273\n",
      "태\n",
      "<class 'str'>\n",
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      "아\n",
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      "갤\n",
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      "페\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2278\n",
      "아\n",
      "<class 'str'>\n",
      "2279\n",
      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2281\n",
      "갤\n",
      "<class 'str'>\n",
      "2282\n",
      "아\n",
      "<class 'str'>\n",
      "2283\n",
      "[\n",
      "<class 'str'>\n",
      "2284\n",
      "갤\n",
      "<class 'str'>\n",
      "2285\n",
      "아\n",
      "<class 'str'>\n",
      "2286\n",
      "(\n",
      "<class 'str'>\n",
      "2287\n",
      "갤\n",
      "<class 'str'>\n",
      "2288\n",
      "전\n",
      "<class 'str'>\n",
      "2289\n",
      "아\n",
      "<class 'str'>\n",
      "2290\n",
      "레\n",
      "<class 'str'>\n",
      "2291\n",
      "S\n",
      "<class 'str'>\n",
      "2292\n",
      "아\n",
      "<class 'str'>\n",
      "2293\n",
      "[\n",
      "<class 'str'>\n",
      "2294\n",
      "[\n",
      "<class 'str'>\n",
      "2295\n",
      "하\n",
      "<class 'str'>\n",
      "2296\n",
      "아\n",
      "<class 'str'>\n",
      "2297\n",
      "아\n",
      "<class 'str'>\n",
      "2298\n",
      "아\n",
      "<class 'str'>\n",
      "2299\n",
      "아\n",
      "<class 'str'>\n",
      "2300\n",
      "갤\n",
      "<class 'str'>\n",
      "2301\n",
      "하\n",
      "<class 'str'>\n",
      "2302\n",
      "[\n",
      "<class 'str'>\n",
      "2303\n",
      "갤\n",
      "<class 'str'>\n",
      "2304\n",
      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2306\n",
      "l\n",
      "<class 'str'>\n",
      "2307\n",
      "크\n",
      "<class 'str'>\n",
      "2308\n",
      "갤\n",
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      "2309\n",
      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2311\n",
      "태\n",
      "<class 'str'>\n",
      "2312\n",
      "갤\n",
      "<class 'str'>\n",
      "2313\n",
      "아\n",
      "<class 'str'>\n",
      "2314\n",
      "갤\n",
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      "2315\n",
      "갤\n",
      "<class 'str'>\n",
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      "아\n",
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      "갤\n",
      "<class 'str'>\n",
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      "가\n",
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      "갤\n",
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      "아\n",
      "<class 'str'>\n",
      "2321\n",
      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
      "2323\n",
      "[\n",
      "<class 'str'>\n",
      "2324\n",
      "아\n",
      "<class 'str'>\n",
      "2325\n",
      "아\n",
      "<class 'str'>\n",
      "2326\n",
      "(\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
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      "C\n",
      "<class 'str'>\n",
      "2330\n",
      "아\n",
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      "갤\n",
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      "아\n",
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      "아\n",
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      "아\n",
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      "가\n",
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      "아\n",
      "<class 'str'>\n",
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      "로\n",
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      "아\n",
      "<class 'str'>\n",
      "2348\n",
      "[\n",
      "<class 'str'>\n",
      "2349\n",
      "미\n",
      "<class 'str'>\n",
      "2350\n",
      "아\n",
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      "아\n",
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     "output_type": "stream",
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      "<class 'str'>\n",
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      "아\n",
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      "화\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "화\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "[\n",
      "<class 'str'>\n",
      "2632\n",
      "뉴\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2635\n",
      "단\n",
      "<class 'str'>\n",
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      "H\n",
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      "아\n",
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      "아\n",
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      "아\n",
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      "2641\n",
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      "아\n",
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      "아\n",
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      "2645\n",
      "갤\n",
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      "2646\n",
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      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2649\n",
      "이\n",
      "<class 'str'>\n",
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      "(\n",
      "<class 'str'>\n",
      "2651\n",
      "닌\n",
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      "갤\n",
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      "아\n",
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      "아\n",
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      "아\n",
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      "4\n",
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      "갤\n",
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      "s\n",
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      "서\n",
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      "아\n",
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      "아\n",
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      "2664\n",
      "레\n",
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      "갤\n",
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      "모\n",
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      "갤\n",
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      "갤\n",
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      "갤\n",
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      "갤\n",
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      "[\n",
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      "아\n",
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      "<class 'str'>\n",
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      "[\n",
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      "2683\n",
      "갤\n",
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      "아\n",
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      "갤\n",
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      "아\n",
      "<class 'str'>\n",
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      "[\n",
      "<class 'str'>\n",
      "2688\n",
      "유\n",
      "<class 'str'>\n",
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      "아\n",
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      "애\n",
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      "아\n",
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      "아\n",
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      "아\n",
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      "2694\n",
      "1\n",
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      "갤\n",
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      "갤\n",
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      "갤\n",
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      "(\n",
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      "아\n",
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      "갤\n",
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      "갤\n",
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      "2714\n",
      "겔\n",
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      "아\n",
      "<class 'str'>\n",
      "2716\n",
      "아\n",
      "<class 'str'>\n",
      "2717\n",
      "[\n",
      "<class 'str'>\n",
      "2718\n",
      "아\n",
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      "갤\n",
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      "아\n",
      "<class 'str'>\n",
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      "(\n",
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      "아\n",
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      "아\n",
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      "갤\n",
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      "갤\n",
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      "갤\n",
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      "갤\n",
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      "아\n",
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      "2730\n",
      "풀\n",
      "<class 'str'>\n",
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      "아\n",
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      "갤\n",
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      "S\n",
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      "갤\n",
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      "갤\n",
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      "S\n",
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      "갤\n",
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      "아\n",
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      "갤\n",
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      "갤\n",
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      "A\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2744\n",
      "i\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2746\n",
      "A\n",
      "<class 'str'>\n",
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      "(\n",
      "<class 'str'>\n",
      "2748\n",
      "삼\n",
      "<class 'str'>\n",
      "2749\n",
      "리\n",
      "<class 'str'>\n",
      "2750\n",
      "아\n",
      "<class 'str'>\n",
      "2751\n",
      "삼\n",
      "<class 'str'>\n",
      "2752\n",
      "(\n",
      "<class 'str'>\n",
      "2753\n",
      "[\n",
      "<class 'str'>\n",
      "2754\n",
      "아\n",
      "<class 'str'>\n",
      "2755\n",
      "아\n",
      "<class 'str'>\n",
      "2756\n",
      "갤\n",
      "<class 'str'>\n",
      "2757\n",
      "L\n",
      "<class 'str'>\n",
      "2758\n",
      "아\n",
      "<class 'str'>\n",
      "2759\n",
      "아\n",
      "<class 'str'>\n",
      "2760\n",
      "아\n",
      "<class 'str'>\n",
      "2761\n",
      "갤\n",
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      "갤\n",
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      "갤\n",
      "<class 'str'>\n",
      "2764\n",
      "아\n",
      "<class 'str'>\n",
      "2765\n",
      "급\n",
      "<class 'str'>\n",
      "2766\n",
      "아\n",
      "<class 'str'>\n",
      "2767\n",
      "갤\n",
      "<class 'str'>\n",
      "2768\n",
      "x\n",
      "<class 'str'>\n",
      "2769\n",
      "아\n",
      "<class 'str'>\n",
      "2770\n",
      "와\n",
      "<class 'str'>\n",
      "2771\n",
      "갤\n",
      "<class 'str'>\n",
      "2772\n",
      "갤\n",
      "<class 'str'>\n",
      "2773\n",
      "갤\n",
      "<class 'str'>\n",
      "2774\n",
      "[\n",
      "<class 'str'>\n",
      "2775\n",
      "아\n",
      "<class 'str'>\n",
      "2776\n",
      "갤\n",
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      "2777\n",
      "레\n",
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      "2778\n",
      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2780\n",
      "갤\n",
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      "2781\n",
      "아\n",
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      "갤\n",
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      "아\n",
      "<class 'str'>\n",
      "2784\n",
      "아\n",
      "<class 'str'>\n",
      "2785\n",
      "전\n",
      "<class 'str'>\n",
      "2786\n",
      "애\n",
      "<class 'str'>\n",
      "2787\n",
      "[\n",
      "<class 'str'>\n",
      "2788\n",
      "(\n",
      "<class 'str'>\n",
      "2789\n",
      "갤\n",
      "<class 'str'>\n",
      "2790\n",
      "아\n",
      "<class 'str'>\n",
      "2791\n",
      "아\n",
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      "갤\n",
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      "2793\n",
      "아\n",
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      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
      "2796\n",
      "삼\n",
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      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
      "2800\n",
      "갤\n",
      "<class 'str'>\n",
      "2801\n",
      "A\n",
      "<class 'str'>\n",
      "2802\n",
      "갤\n",
      "<class 'str'>\n",
      "2803\n",
      "갤\n",
      "<class 'str'>\n",
      "2804\n",
      "아\n",
      "<class 'str'>\n",
      "2805\n",
      "갤\n",
      "<class 'str'>\n",
      "2806\n",
      "[\n",
      "<class 'str'>\n",
      "2807\n",
      "아\n",
      "<class 'str'>\n",
      "2808\n",
      "아\n",
      "<class 'str'>\n",
      "2809\n",
      "(\n",
      "<class 'str'>\n",
      "2810\n",
      "아\n",
      "<class 'str'>\n",
      "2811\n",
      "아\n",
      "<class 'str'>\n",
      "2812\n",
      "아\n",
      "<class 'str'>\n",
      "2813\n",
      "아\n",
      "<class 'str'>\n",
      "2814\n",
      "미\n",
      "<class 'str'>\n",
      "2815\n",
      "아\n",
      "<class 'str'>\n",
      "2816\n",
      "리\n",
      "<class 'str'>\n",
      "2817\n",
      "서\n",
      "<class 'str'>\n",
      "2818\n",
      "아\n",
      "<class 'str'>\n",
      "2819\n",
      "아\n",
      "<class 'str'>\n",
      "2820\n",
      "아\n",
      "<class 'str'>\n",
      "2821\n",
      "s\n",
      "<class 'str'>\n",
      "2822\n",
      "아\n",
      "<class 'str'>\n",
      "2823\n",
      "아\n",
      "<class 'str'>\n",
      "2824\n",
      "삼\n",
      "<class 'str'>\n",
      "2825\n",
      "아\n",
      "<class 'str'>\n",
      "2826\n",
      "갤\n",
      "<class 'str'>\n",
      "2827\n",
      "삼\n",
      "<class 'str'>\n",
      "2828\n",
      "크\n",
      "<class 'str'>\n",
      "2829\n",
      "아\n",
      "<class 'str'>\n",
      "2830\n",
      "아\n",
      "<class 'str'>\n",
      "2831\n",
      "코\n",
      "<class 'str'>\n",
      "2832\n",
      "가\n",
      "<class 'str'>\n",
      "2833\n",
      "아\n",
      "<class 'str'>\n",
      "2834\n",
      "갤\n",
      "<class 'str'>\n",
      "2835\n",
      "갤\n",
      "<class 'str'>\n",
      "2836\n",
      "아\n",
      "<class 'str'>\n",
      "2837\n",
      "갤\n",
      "<class 'str'>\n",
      "2838\n",
      "[\n",
      "<class 'str'>\n",
      "2839\n",
      "아\n",
      "<class 'str'>\n",
      "2840\n",
      "미\n",
      "<class 'str'>\n",
      "2841\n",
      "아\n",
      "<class 'str'>\n",
      "2842\n",
      "아\n",
      "<class 'str'>\n",
      "2843\n",
      "[\n",
      "<class 'str'>\n",
      "2844\n",
      "아\n",
      "<class 'str'>\n",
      "2845\n",
      "갤\n",
      "<class 'str'>\n",
      "2846\n",
      "아\n",
      "<class 'str'>\n",
      "2847\n",
      "갤\n",
      "<class 'str'>\n",
      "2848\n",
      "[\n",
      "<class 'str'>\n",
      "2849\n",
      "갤\n",
      "<class 'str'>\n",
      "2850\n",
      "갤\n",
      "<class 'str'>\n",
      "2851\n",
      "갤\n",
      "<class 'str'>\n",
      "2852\n",
      "아\n",
      "<class 'str'>\n",
      "2853\n",
      "(\n",
      "<class 'str'>\n",
      "2854\n",
      "태\n",
      "<class 'str'>\n",
      "2855\n",
      "갤\n",
      "<class 'str'>\n",
      "2856\n",
      "아\n",
      "<class 'str'>\n",
      "2857\n",
      "갤\n",
      "<class 'str'>\n",
      "2858\n",
      "갤\n",
      "<class 'str'>\n",
      "2859\n",
      "아\n",
      "<class 'str'>\n",
      "2860\n",
      "갤\n",
      "<class 'str'>\n",
      "2861\n",
      "갤\n",
      "<class 'str'>\n",
      "2862\n",
      "아\n",
      "<class 'str'>\n",
      "2863\n",
      "[\n",
      "<class 'str'>\n",
      "2864\n",
      "아\n",
      "<class 'str'>\n",
      "2865\n",
      "갤\n",
      "<class 'str'>\n",
      "2866\n",
      "휴\n",
      "<class 'str'>\n",
      "2867\n",
      "갤\n",
      "<class 'str'>\n",
      "2868\n",
      "(\n",
      "<class 'str'>\n",
      "2869\n",
      "아\n",
      "<class 'str'>\n",
      "2870\n",
      "갤\n",
      "<class 'str'>\n",
      "2871\n",
      "아\n",
      "<class 'str'>\n",
      "2872\n",
      "갤\n",
      "<class 'str'>\n",
      "2873\n",
      "팜\n",
      "<class 'str'>\n",
      "2874\n",
      "애\n",
      "<class 'str'>\n",
      "2875\n",
      "[\n",
      "<class 'str'>\n",
      "2876\n",
      "아\n",
      "<class 'str'>\n",
      "2877\n",
      "1\n",
      "<class 'str'>\n",
      "2878\n",
      "아\n",
      "<class 'str'>\n",
      "2879\n",
      "뇌\n",
      "<class 'str'>\n",
      "2880\n",
      "L\n",
      "<class 'str'>\n",
      "2881\n",
      "아\n",
      "<class 'str'>\n",
      "2882\n",
      "아\n",
      "<class 'str'>\n",
      "2883\n",
      "서\n",
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      "2884\n",
      "갤\n",
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      "2885\n",
      "아\n",
      "<class 'str'>\n",
      "2886\n",
      "아\n",
      "<class 'str'>\n",
      "2887\n",
      "아\n",
      "<class 'str'>\n",
      "2888\n",
      "아\n",
      "<class 'str'>\n",
      "2889\n",
      "갤\n",
      "<class 'str'>\n",
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      "아\n",
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      "2891\n",
      "아\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "2895\n",
      "웅\n",
      "<class 'str'>\n",
      "2896\n",
      "아\n",
      "<class 'str'>\n",
      "2897\n",
      "갤\n",
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      "갤\n",
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      "리\n",
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      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "M\n",
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      "갤\n",
      "<class 'str'>\n",
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      "아\n",
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      "T\n",
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      "S\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
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      "(\n",
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      "가\n",
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      "서\n",
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      "갤\n",
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      "[\n",
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      "갤\n",
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      "츄\n",
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      "가\n",
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      "갤\n",
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      "G\n",
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      "아\n",
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      "인\n",
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      "아\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
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      "[\n",
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      "새\n",
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      "갤\n",
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      "판\n",
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      "인\n",
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      "갤\n",
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      "마\n",
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      "(\n",
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      "갤\n",
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      "[\n",
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      "구\n",
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      "아\n",
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      "갤\n",
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      "아\n",
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      "아\n",
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      "라\n",
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      "(\n",
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      "아\n",
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      "아\n",
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      "가\n",
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      "G\n",
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      "갤\n",
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      "아\n",
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      "3000\n",
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      "3001\n",
      "광\n",
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      "갤\n",
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      "아\n",
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      "갤\n",
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      "미\n",
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      "s\n",
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      "갤\n",
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      "아\n",
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      "T\n",
      "<class 'str'>\n",
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      "[\n",
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      "갤\n",
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      "갤\n",
      "<class 'str'>\n",
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      "[\n",
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      "아\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
      "3020\n",
      "서\n",
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      "(\n",
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      "아\n",
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      "미\n",
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      "아\n",
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      "서\n",
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      "가\n",
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      "가\n",
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      "가\n",
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      "아\n",
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      "갤\n",
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      "아\n",
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      "아\n",
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      "아\n",
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      "아\n",
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      "하\n",
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      "아\n",
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      "아\n",
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      "마\n",
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      "아\n",
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      "와\n",
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      "삼\n",
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      "갤\n",
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      "정\n",
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      "아\n",
      "<class 'str'>\n",
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      "미\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3060\n",
      "T\n",
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      "갤\n",
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      "갤\n",
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      "아\n",
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      "와\n",
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      "겔\n",
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      "갤\n",
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      "갤\n",
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      "아\n",
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      "아\n",
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      "아\n",
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      "부\n",
      "<class 'str'>\n",
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      "삼\n",
      "<class 'str'>\n",
      "3074\n",
      "갤\n",
      "<class 'str'>\n",
      "3075\n",
      "[\n",
      "<class 'str'>\n",
      "3076\n",
      "갤\n",
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      "3077\n",
      "갤\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
      "3079\n",
      "아\n",
      "<class 'str'>\n",
      "3080\n",
      "L\n",
      "<class 'str'>\n",
      "3081\n",
      "갤\n",
      "<class 'str'>\n",
      "3082\n",
      "장\n",
      "<class 'str'>\n",
      "3083\n",
      "캄\n",
      "<class 'str'>\n",
      "3084\n",
      "X\n",
      "<class 'str'>\n",
      "3085\n",
      "아\n",
      "<class 'str'>\n",
      "3086\n",
      "★\n",
      "<class 'str'>\n",
      "3087\n",
      "갤\n",
      "<class 'str'>\n",
      "3088\n",
      "아\n",
      "<class 'str'>\n",
      "3089\n",
      "엠\n",
      "<class 'str'>\n",
      "3090\n",
      "부\n",
      "<class 'str'>\n",
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      "아\n",
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      "3092\n",
      "갤\n",
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      "3093\n",
      "샤\n",
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      "아\n",
      "<class 'str'>\n",
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      "라\n",
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      "갤\n",
      "<class 'str'>\n",
      "3097\n",
      "크\n",
      "<class 'str'>\n",
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      "갤\n",
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      "3099\n",
      "미\n",
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      "3100\n",
      "아\n",
      "<class 'str'>\n",
      "3101\n",
      "아\n",
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      "3102\n",
      "갤\n",
      "<class 'str'>\n",
      "3103\n",
      "갤\n",
      "<class 'str'>\n",
      "3104\n",
      "단\n",
      "<class 'str'>\n",
      "3105\n",
      "갤\n",
      "<class 'str'>\n",
      "3106\n",
      "아\n",
      "<class 'str'>\n",
      "3107\n",
      "삼\n",
      "<class 'str'>\n",
      "3108\n",
      "삼\n",
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      "갤\n",
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      "3110\n",
      "아\n",
      "<class 'str'>\n",
      "3111\n",
      "아\n",
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      "3112\n",
      "샤\n",
      "<class 'str'>\n",
      "3113\n",
      "갤\n",
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      "3114\n",
      "갤\n",
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      "3115\n",
      "아\n",
      "<class 'str'>\n",
      "3116\n",
      "아\n",
      "<class 'str'>\n",
      "3117\n",
      "아\n",
      "<class 'str'>\n",
      "3118\n",
      "[\n",
      "<class 'str'>\n",
      "3119\n",
      "와\n",
      "<class 'str'>\n",
      "3120\n",
      "아\n",
      "<class 'str'>\n",
      "3121\n",
      "아\n",
      "<class 'str'>\n",
      "3122\n",
      "i\n",
      "<class 'str'>\n",
      "3123\n",
      "갤\n",
      "<class 'str'>\n",
      "3124\n",
      "갤\n",
      "<class 'str'>\n",
      "3125\n",
      "갤\n",
      "<class 'str'>\n",
      "3126\n",
      "아\n",
      "<class 'str'>\n",
      "3127\n",
      "아\n",
      "<class 'str'>\n",
      "3128\n",
      "와\n",
      "<class 'str'>\n",
      "3129\n",
      "오\n",
      "<class 'str'>\n",
      "3130\n",
      "리\n",
      "<class 'str'>\n",
      "3131\n",
      "갤\n",
      "<class 'str'>\n",
      "3132\n",
      "아\n",
      "<class 'str'>\n",
      "3133\n",
      "[\n",
      "<class 'str'>\n",
      "3134\n",
      "갤\n",
      "<class 'str'>\n",
      "3135\n",
      "갤\n",
      "<class 'str'>\n",
      "3136\n",
      "밀\n",
      "<class 'str'>\n",
      "3137\n",
      "아\n",
      "<class 'str'>\n",
      "3138\n",
      "아\n",
      "<class 'str'>\n",
      "3139\n",
      "샤\n",
      "<class 'str'>\n",
      "3140\n",
      "[\n",
      "<class 'str'>\n",
      "3141\n",
      "와\n",
      "<class 'str'>\n",
      "3142\n",
      "갤\n",
      "<class 'str'>\n",
      "3143\n",
      "휴\n",
      "<class 'str'>\n",
      "3144\n",
      "아\n",
      "<class 'str'>\n",
      "3145\n",
      "아\n",
      "<class 'str'>\n",
      "3146\n",
      "플\n",
      "<class 'str'>\n",
      "3147\n",
      "[\n",
      "<class 'str'>\n",
      "3148\n",
      "갤\n",
      "<class 'str'>\n",
      "3149\n",
      "A\n",
      "<class 'str'>\n",
      "3150\n",
      "아\n",
      "<class 'str'>\n",
      "3151\n",
      "아\n",
      "<class 'str'>\n",
      "3152\n",
      "L\n",
      "<class 'str'>\n",
      "3153\n",
      "아\n",
      "<class 'str'>\n",
      "3154\n",
      "오\n",
      "<class 'str'>\n",
      "3155\n",
      "g\n",
      "<class 'str'>\n",
      "3156\n",
      "미\n",
      "<class 'str'>\n",
      "3157\n",
      "아\n",
      "<class 'str'>\n",
      "3158\n",
      "레\n",
      "<class 'str'>\n",
      "3159\n",
      "아\n",
      "<class 'str'>\n",
      "3160\n",
      "아\n",
      "<class 'str'>\n",
      "3161\n",
      "I\n",
      "<class 'str'>\n",
      "3162\n",
      "갤\n",
      "<class 'str'>\n",
      "3163\n",
      "아\n",
      "<class 'str'>\n",
      "3164\n",
      "갤\n",
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      "3165\n",
      "아\n",
      "<class 'str'>\n",
      "3166\n",
      "아\n",
      "<class 'str'>\n",
      "3167\n",
      "갤\n",
      "<class 'str'>\n",
      "3168\n",
      "p\n",
      "<class 'str'>\n",
      "3169\n",
      "오\n",
      "<class 'str'>\n",
      "3170\n",
      "뇌\n",
      "<class 'str'>\n",
      "3171\n",
      "아\n",
      "<class 'str'>\n",
      "3172\n",
      "[\n",
      "<class 'str'>\n",
      "3173\n",
      "아\n",
      "<class 'str'>\n",
      "3174\n",
      "아\n",
      "<class 'str'>\n",
      "3175\n",
      "화\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3177\n",
      "갤\n",
      "<class 'str'>\n",
      "3178\n",
      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3180\n",
      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3182\n",
      "리\n",
      "<class 'str'>\n",
      "3183\n",
      "아\n",
      "<class 'str'>\n",
      "3184\n",
      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3186\n",
      "아\n",
      "<class 'str'>\n",
      "3187\n",
      "(\n",
      "<class 'str'>\n",
      "3188\n",
      "수\n",
      "<class 'str'>\n",
      "3189\n",
      "아\n",
      "<class 'str'>\n",
      "3190\n",
      "아\n",
      "<class 'str'>\n",
      "3191\n",
      "S\n",
      "<class 'str'>\n",
      "3192\n",
      "화\n",
      "<class 'str'>\n",
      "3193\n",
      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
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      "지\n",
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      "아\n",
      "<class 'str'>\n",
      "3198\n",
      "갤\n",
      "<class 'str'>\n",
      "3199\n",
      "레\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3202\n",
      "아\n",
      "<class 'str'>\n",
      "3203\n",
      "갤\n",
      "<class 'str'>\n",
      "3204\n",
      "판\n",
      "<class 'str'>\n",
      "3205\n",
      "갤\n",
      "<class 'str'>\n",
      "3206\n",
      "아\n",
      "<class 'str'>\n",
      "3207\n",
      "미\n",
      "<class 'str'>\n",
      "3208\n",
      "갤\n",
      "<class 'str'>\n",
      "3209\n",
      "라\n",
      "<class 'str'>\n",
      "3210\n",
      "아\n",
      "<class 'str'>\n",
      "3211\n",
      "(\n",
      "<class 'str'>\n",
      "3212\n",
      "미\n",
      "<class 'str'>\n",
      "3213\n",
      "아\n",
      "<class 'str'>\n",
      "3214\n",
      "아\n",
      "<class 'str'>\n",
      "3215\n",
      "미\n",
      "<class 'str'>\n",
      "3216\n",
      "갤\n",
      "<class 'str'>\n",
      "3217\n",
      "아\n",
      "<class 'str'>\n",
      "3218\n",
      "갤\n",
      "<class 'str'>\n",
      "3219\n",
      "삼\n",
      "<class 'str'>\n",
      "3220\n",
      "G\n",
      "<class 'str'>\n",
      "3221\n",
      "아\n",
      "<class 'str'>\n",
      "3222\n",
      "로\n",
      "<class 'str'>\n",
      "3223\n",
      "아\n",
      "<class 'str'>\n",
      "3224\n",
      "이\n",
      "<class 'str'>\n",
      "3225\n",
      "갤\n",
      "<class 'str'>\n",
      "3226\n",
      "아\n",
      "<class 'str'>\n",
      "3227\n",
      "아\n",
      "<class 'str'>\n",
      "3228\n",
      "(\n",
      "<class 'str'>\n",
      "3229\n",
      "와\n",
      "<class 'str'>\n",
      "3230\n",
      "갤\n",
      "<class 'str'>\n",
      "3231\n",
      "아\n",
      "<class 'str'>\n",
      "3232\n",
      "갤\n",
      "<class 'str'>\n",
      "3233\n",
      "갤\n",
      "<class 'str'>\n",
      "3234\n",
      "아\n",
      "<class 'str'>\n",
      "3235\n",
      "듀\n",
      "<class 'str'>\n",
      "3236\n",
      "아\n",
      "<class 'str'>\n",
      "3237\n",
      "갤\n",
      "<class 'str'>\n",
      "3238\n",
      "i\n",
      "<class 'str'>\n",
      "3239\n",
      "I\n",
      "<class 'str'>\n",
      "3240\n",
      "갤\n",
      "<class 'str'>\n",
      "3241\n",
      "아\n",
      "<class 'str'>\n",
      "3242\n",
      "엠\n",
      "<class 'str'>\n",
      "3243\n",
      "L\n",
      "<class 'str'>\n",
      "3244\n",
      "갤\n",
      "<class 'str'>\n",
      "3245\n",
      "(\n",
      "<class 'str'>\n",
      "3246\n",
      "갤\n",
      "<class 'str'>\n",
      "3247\n",
      "아\n",
      "<class 'str'>\n",
      "3248\n",
      "단\n",
      "<class 'str'>\n",
      "3249\n",
      "오\n",
      "<class 'str'>\n",
      "3250\n",
      "갤\n",
      "<class 'str'>\n",
      "3251\n",
      "비\n",
      "<class 'str'>\n",
      "3252\n",
      "아\n",
      "<class 'str'>\n",
      "3253\n",
      "아\n",
      "<class 'str'>\n",
      "3254\n",
      "갤\n",
      "<class 'str'>\n",
      "3255\n",
      "뇌\n",
      "<class 'str'>\n",
      "3256\n",
      "아\n",
      "<class 'str'>\n",
      "3257\n",
      "[\n",
      "<class 'str'>\n",
      "3258\n",
      "부\n",
      "<class 'str'>\n",
      "3259\n",
      "갤\n",
      "<class 'str'>\n",
      "3260\n",
      "갤\n",
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      "갤\n",
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      "3262\n",
      "갤\n",
      "<class 'str'>\n",
      "3263\n",
      "갤\n",
      "<class 'str'>\n",
      "3264\n",
      "아\n",
      "<class 'str'>\n",
      "3265\n",
      "탭\n",
      "<class 'str'>\n",
      "3266\n",
      "갤\n",
      "<class 'str'>\n",
      "3267\n",
      "아\n",
      "<class 'str'>\n",
      "3268\n",
      "갤\n",
      "<class 'str'>\n",
      "3269\n",
      "(\n",
      "<class 'str'>\n",
      "3270\n",
      "아\n",
      "<class 'str'>\n",
      "3271\n",
      "아\n",
      "<class 'str'>\n",
      "3272\n",
      "아\n",
      "<class 'str'>\n",
      "3273\n",
      "오\n",
      "<class 'str'>\n",
      "3274\n",
      "아\n",
      "<class 'str'>\n",
      "3275\n",
      "미\n",
      "<class 'str'>\n",
      "3276\n",
      "미\n",
      "<class 'str'>\n",
      "3277\n",
      "아\n",
      "<class 'str'>\n",
      "3278\n",
      "아\n",
      "<class 'str'>\n",
      "3279\n",
      "아\n",
      "<class 'str'>\n",
      "3280\n",
      "갤\n",
      "<class 'str'>\n",
      "3281\n",
      "아\n",
      "<class 'str'>\n",
      "3282\n",
      "[\n",
      "<class 'str'>\n",
      "3283\n",
      "아\n",
      "<class 'str'>\n",
      "3284\n",
      "아\n",
      "<class 'str'>\n",
      "3285\n",
      "아\n",
      "<class 'str'>\n",
      "3286\n",
      "아\n",
      "<class 'str'>\n",
      "3287\n",
      "아\n",
      "<class 'str'>\n",
      "3288\n",
      "아\n",
      "<class 'str'>\n",
      "3289\n",
      "갤\n",
      "<class 'str'>\n",
      "3290\n",
      "크\n",
      "<class 'str'>\n",
      "3291\n",
      "아\n",
      "<class 'str'>\n",
      "3292\n",
      "아\n",
      "<class 'str'>\n",
      "3293\n",
      "아\n",
      "<class 'str'>\n",
      "3294\n",
      "아\n",
      "<class 'str'>\n",
      "3295\n",
      "매\n",
      "<class 'str'>\n",
      "3296\n",
      "갤\n",
      "<class 'str'>\n",
      "3297\n",
      "갤\n",
      "<class 'str'>\n",
      "3298\n",
      "C\n",
      "<class 'str'>\n",
      "3299\n",
      "화\n",
      "<class 'str'>\n",
      "3300\n",
      "아\n",
      "<class 'str'>\n",
      "3301\n",
      "아\n",
      "<class 'str'>\n",
      "3302\n",
      "아\n",
      "<class 'str'>\n",
      "3303\n",
      "아\n",
      "<class 'str'>\n",
      "3304\n",
      "아\n",
      "<class 'str'>\n",
      "3305\n",
      "신\n",
      "<class 'str'>\n",
      "3306\n",
      "갤\n",
      "<class 'str'>\n",
      "3307\n",
      "아\n",
      "<class 'str'>\n",
      "3308\n",
      "아\n",
      "<class 'str'>\n",
      "3309\n",
      "에\n",
      "<class 'str'>\n",
      "3310\n",
      "모\n",
      "<class 'str'>\n",
      "3311\n",
      "아\n",
      "<class 'str'>\n",
      "3312\n",
      "갤\n",
      "<class 'str'>\n",
      "3313\n",
      "갤\n",
      "<class 'str'>\n",
      "3314\n",
      "[\n",
      "<class 'str'>\n",
      "3315\n",
      "아\n",
      "<class 'str'>\n",
      "3316\n",
      "[\n",
      "<class 'str'>\n",
      "3317\n",
      "갤\n",
      "<class 'str'>\n",
      "3318\n",
      "갤\n",
      "<class 'str'>\n",
      "3319\n",
      "아\n",
      "<class 'str'>\n",
      "3320\n",
      "갤\n",
      "<class 'str'>\n",
      "3321\n",
      "[\n",
      "<class 'str'>\n",
      "3322\n",
      "갤\n",
      "<class 'str'>\n",
      "3323\n",
      "아\n",
      "<class 'str'>\n",
      "3324\n",
      "갤\n",
      "<class 'str'>\n",
      "3325\n",
      "갤\n",
      "<class 'str'>\n",
      "3326\n",
      "아\n",
      "<class 'str'>\n",
      "3327\n",
      "아\n",
      "<class 'str'>\n",
      "3328\n",
      "갤\n",
      "<class 'str'>\n",
      "3329\n",
      "갤\n",
      "<class 'str'>\n",
      "3330\n",
      "갤\n",
      "<class 'str'>\n",
      "3331\n",
      "닌\n",
      "<class 'str'>\n",
      "3332\n",
      "아\n",
      "<class 'str'>\n",
      "3333\n",
      "아\n",
      "<class 'str'>\n",
      "3334\n",
      "아\n",
      "<class 'str'>\n",
      "3335\n",
      "L\n",
      "<class 'str'>\n",
      "3336\n",
      "Z\n",
      "<class 'str'>\n",
      "3337\n",
      "아\n",
      "<class 'str'>\n",
      "3338\n",
      "G\n",
      "<class 'str'>\n",
      "3339\n",
      "5\n",
      "<class 'str'>\n",
      "3340\n",
      "아\n",
      "<class 'str'>\n",
      "3341\n",
      "파\n",
      "<class 'str'>\n",
      "3342\n",
      "갤\n",
      "<class 'str'>\n",
      "3343\n",
      "아\n",
      "<class 'str'>\n",
      "3344\n",
      "아\n",
      "<class 'str'>\n",
      "3345\n",
      "(\n",
      "<class 'str'>\n",
      "3346\n",
      "삼\n",
      "<class 'str'>\n",
      "3347\n",
      "태\n",
      "<class 'str'>\n",
      "3348\n",
      "갤\n",
      "<class 'str'>\n",
      "3349\n",
      "갤\n",
      "<class 'str'>\n",
      "3350\n",
      "[\n",
      "<class 'str'>\n",
      "3351\n",
      "갤\n",
      "<class 'str'>\n",
      "3352\n",
      "아\n",
      "<class 'str'>\n",
      "3353\n",
      "[\n",
      "<class 'str'>\n",
      "3354\n",
      "아\n",
      "<class 'str'>\n",
      "3355\n",
      "갤\n",
      "<class 'str'>\n",
      "3356\n",
      "아\n",
      "<class 'str'>\n",
      "3357\n",
      "화\n",
      "<class 'str'>\n",
      "3358\n",
      "아\n",
      "<class 'str'>\n",
      "3359\n",
      "아\n",
      "<class 'str'>\n",
      "3360\n",
      "아\n",
      "<class 'str'>\n",
      "3361\n",
      "삼\n",
      "<class 'str'>\n",
      "3362\n",
      "(\n",
      "<class 'str'>\n",
      "3363\n",
      "[\n",
      "<class 'str'>\n",
      "3364\n",
      "아\n",
      "<class 'str'>\n",
      "3365\n",
      "아\n",
      "<class 'str'>\n",
      "3366\n",
      "갤\n",
      "<class 'str'>\n",
      "3367\n",
      "갤\n",
      "<class 'str'>\n",
      "3368\n",
      "레\n",
      "<class 'str'>\n",
      "3369\n",
      "캘\n",
      "<class 'str'>\n",
      "3370\n",
      "캄\n",
      "<class 'str'>\n",
      "3371\n",
      "갤\n",
      "<class 'str'>\n",
      "3372\n",
      "갤\n",
      "<class 'str'>\n",
      "3373\n",
      "갤\n",
      "<class 'str'>\n",
      "3374\n",
      "갤\n",
      "<class 'str'>\n",
      "3375\n",
      "아\n",
      "<class 'str'>\n",
      "3376\n",
      "갤\n",
      "<class 'str'>\n",
      "3377\n",
      "화\n",
      "<class 'str'>\n",
      "3378\n",
      "미\n",
      "<class 'str'>\n",
      "3379\n",
      "레\n",
      "<class 'str'>\n",
      "3380\n",
      "와\n",
      "<class 'str'>\n",
      "3381\n",
      "아\n",
      "<class 'str'>\n",
      "3382\n",
      "급\n",
      "<class 'str'>\n",
      "3383\n",
      "태\n",
      "<class 'str'>\n",
      "3384\n",
      "아\n",
      "<class 'str'>\n",
      "3385\n",
      "갤\n",
      "<class 'str'>\n",
      "3386\n",
      "아\n",
      "<class 'str'>\n",
      "3387\n",
      "[\n",
      "<class 'str'>\n",
      "3388\n",
      "[\n",
      "<class 'str'>\n",
      "3389\n",
      "갤\n",
      "<class 'str'>\n",
      "3390\n",
      "아\n",
      "<class 'str'>\n",
      "3391\n",
      "미\n",
      "<class 'str'>\n",
      "3392\n",
      "오\n",
      "<class 'str'>\n",
      "3393\n",
      "갤\n",
      "<class 'str'>\n",
      "3394\n",
      "갤\n",
      "<class 'str'>\n",
      "3395\n",
      "아\n",
      "<class 'str'>\n",
      "3396\n",
      "아\n",
      "<class 'str'>\n",
      "3397\n",
      "갤\n",
      "<class 'str'>\n",
      "3398\n",
      "갤\n",
      "<class 'str'>\n",
      "3399\n",
      "모\n",
      "<class 'str'>\n",
      "3400\n",
      "샤\n",
      "<class 'str'>\n",
      "3401\n",
      "아\n",
      "<class 'str'>\n",
      "3402\n",
      "아\n",
      "<class 'str'>\n",
      "3403\n",
      "(\n",
      "<class 'str'>\n",
      "3404\n",
      "아\n",
      "<class 'str'>\n",
      "3405\n",
      "아\n",
      "<class 'str'>\n",
      "3406\n",
      "갤\n",
      "<class 'str'>\n",
      "3407\n",
      "갤\n",
      "<class 'str'>\n",
      "3408\n",
      "델\n",
      "<class 'str'>\n",
      "3409\n",
      "휴\n",
      "<class 'str'>\n",
      "3410\n",
      "미\n",
      "<class 'str'>\n",
      "3411\n",
      "아\n",
      "<class 'str'>\n",
      "3412\n",
      "아\n",
      "<class 'str'>\n",
      "3413\n",
      "급\n",
      "<class 'str'>\n",
      "3414\n",
      "[\n",
      "<class 'str'>\n",
      "3415\n",
      "아\n",
      "<class 'str'>\n",
      "3416\n",
      "와\n",
      "<class 'str'>\n",
      "3417\n",
      "아\n",
      "<class 'str'>\n",
      "3418\n",
      "갤\n",
      "<class 'str'>\n",
      "3419\n",
      "아\n",
      "<class 'str'>\n",
      "3420\n",
      "(\n",
      "<class 'str'>\n",
      "3421\n",
      "아\n",
      "<class 'str'>\n",
      "3422\n",
      "Z\n",
      "<class 'str'>\n",
      "3423\n",
      "아\n",
      "<class 'str'>\n",
      "3424\n",
      "아\n",
      "<class 'str'>\n",
      "3425\n",
      "갤\n",
      "<class 'str'>\n",
      "3426\n",
      "아\n",
      "<class 'str'>\n",
      "3427\n",
      "갤\n",
      "<class 'str'>\n",
      "3428\n",
      "(\n",
      "<class 'str'>\n",
      "3429\n",
      "갤\n",
      "<class 'str'>\n",
      "3430\n",
      "[\n",
      "<class 'str'>\n",
      "3431\n",
      "아\n",
      "<class 'str'>\n",
      "3432\n",
      "미\n",
      "<class 'str'>\n",
      "3433\n",
      "[\n",
      "<class 'str'>\n",
      "3434\n",
      "아\n",
      "<class 'str'>\n",
      "3435\n",
      "아\n",
      "<class 'str'>\n",
      "3436\n",
      "갤\n",
      "<class 'str'>\n",
      "3437\n",
      "갤\n",
      "<class 'str'>\n",
      "3438\n",
      "아\n",
      "<class 'str'>\n",
      "3439\n",
      "s\n",
      "<class 'str'>\n",
      "3440\n",
      "I\n",
      "<class 'str'>\n",
      "3441\n",
      "삼\n",
      "<class 'str'>\n",
      "3442\n",
      "아\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3716\n",
      "서\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3719\n",
      "수\n",
      "<class 'str'>\n",
      "3720\n",
      "(\n",
      "<class 'str'>\n",
      "3721\n",
      "아\n",
      "<class 'str'>\n",
      "3722\n",
      "갤\n",
      "<class 'str'>\n",
      "3723\n",
      "아\n",
      "<class 'str'>\n",
      "3724\n",
      "아\n",
      "<class 'str'>\n",
      "3725\n",
      "(\n",
      "<class 'str'>\n",
      "3726\n",
      "(\n",
      "<class 'str'>\n",
      "3727\n",
      "갤\n",
      "<class 'str'>\n",
      "3728\n",
      "G\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3730\n",
      "아\n",
      "<class 'str'>\n",
      "3731\n",
      "상\n",
      "<class 'str'>\n",
      "3732\n",
      "아\n",
      "<class 'str'>\n",
      "3733\n",
      "아\n",
      "<class 'str'>\n",
      "3734\n",
      "미\n",
      "<class 'str'>\n",
      "3735\n",
      "아\n",
      "<class 'str'>\n",
      "3736\n",
      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3738\n",
      "삼\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3740\n",
      "아\n",
      "<class 'str'>\n",
      "3741\n",
      "대\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "갤\n",
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      "아\n",
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      "갤\n",
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      "아\n",
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      "갤\n",
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      "아\n",
      "<class 'str'>\n",
      "3750\n",
      "웅\n",
      "<class 'str'>\n",
      "3751\n",
      "갤\n",
      "<class 'str'>\n",
      "3752\n",
      "[\n",
      "<class 'str'>\n",
      "3753\n",
      "와\n",
      "<class 'str'>\n",
      "3754\n",
      "부\n",
      "<class 'str'>\n",
      "3755\n",
      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3760\n",
      "부\n",
      "<class 'str'>\n",
      "3761\n",
      "부\n",
      "<class 'str'>\n",
      "3762\n",
      "갤\n",
      "<class 'str'>\n",
      "3763\n",
      "아\n",
      "<class 'str'>\n",
      "3764\n",
      "대\n",
      "<class 'str'>\n",
      "3765\n",
      "(\n",
      "<class 'str'>\n",
      "3766\n",
      "★\n",
      "<class 'str'>\n",
      "3767\n",
      "오\n",
      "<class 'str'>\n",
      "3768\n",
      "갤\n",
      "<class 'str'>\n",
      "3769\n",
      "갤\n",
      "<class 'str'>\n",
      "3770\n",
      "아\n",
      "<class 'str'>\n",
      "3771\n",
      "A\n",
      "<class 'str'>\n",
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      "갤\n",
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      "갤\n",
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      "갤\n",
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      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3777\n",
      "아\n",
      "<class 'str'>\n",
      "3778\n",
      "아\n",
      "<class 'str'>\n",
      "3779\n",
      "아\n",
      "<class 'str'>\n",
      "3780\n",
      "(\n",
      "<class 'str'>\n",
      "3781\n",
      "아\n",
      "<class 'str'>\n",
      "3782\n",
      "아\n",
      "<class 'str'>\n",
      "3783\n",
      "요\n",
      "<class 'str'>\n",
      "3784\n",
      "갤\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
      "3786\n",
      "플\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
      "3788\n",
      "아\n",
      "<class 'str'>\n",
      "3789\n",
      "비\n",
      "<class 'str'>\n",
      "3790\n",
      "대\n",
      "<class 'str'>\n",
      "3791\n",
      "아\n",
      "<class 'str'>\n",
      "3792\n",
      "아\n",
      "<class 'str'>\n",
      "3793\n",
      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
      "3795\n",
      "아\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
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      "갤\n",
      "<class 'str'>\n",
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      "아\n",
      "<class 'str'>\n",
      "3799\n",
      "갤\n",
      "<class 'str'>\n",
      "3800\n",
      "부\n",
      "<class 'str'>\n",
      "3801\n",
      "아\n",
      "<class 'str'>\n",
      "3802\n",
      "웅\n",
      "<class 'str'>\n",
      "3803\n",
      "아\n",
      "<class 'str'>\n",
      "3804\n",
      "아\n",
      "<class 'str'>\n",
      "3805\n",
      "아\n",
      "<class 'str'>\n",
      "3806\n",
      "아\n",
      "<class 'str'>\n",
      "3807\n",
      "[\n",
      "<class 'str'>\n",
      "3808\n",
      "아\n",
      "<class 'str'>\n",
      "3809\n",
      "갤\n",
      "<class 'str'>\n",
      "3810\n",
      "아\n",
      "<class 'str'>\n",
      "3811\n",
      "아\n",
      "<class 'str'>\n",
      "3812\n",
      "아\n",
      "<class 'str'>\n",
      "3813\n",
      "갤\n",
      "<class 'str'>\n",
      "3814\n",
      "아\n",
      "<class 'str'>\n",
      "3815\n",
      "갤\n",
      "<class 'str'>\n",
      "3816\n",
      "아\n",
      "<class 'str'>\n",
      "3817\n",
      "아\n",
      "<class 'str'>\n",
      "3818\n",
      "지\n",
      "<class 'str'>\n",
      "3819\n",
      "아\n",
      "<class 'str'>\n",
      "3820\n",
      "애\n",
      "<class 'str'>\n",
      "3821\n",
      "코\n",
      "<class 'str'>\n",
      "3822\n",
      "아\n",
      "<class 'str'>\n",
      "3823\n",
      "갤\n",
      "<class 'str'>\n",
      "3824\n",
      "디\n",
      "<class 'str'>\n",
      "3825\n",
      "아\n",
      "<class 'str'>\n",
      "3826\n",
      "아\n",
      "<class 'str'>\n",
      "3827\n",
      "아\n",
      "<class 'str'>\n",
      "3828\n",
      "아\n",
      "<class 'str'>\n",
      "3829\n",
      "갤\n",
      "<class 'str'>\n",
      "3830\n",
      "아\n",
      "<class 'str'>\n",
      "3831\n",
      "아\n",
      "<class 'str'>\n",
      "3832\n",
      "갤\n",
      "<class 'str'>\n",
      "3833\n",
      "미\n",
      "<class 'str'>\n",
      "3834\n",
      "아\n",
      "<class 'str'>\n",
      "3835\n",
      "아\n",
      "<class 'str'>\n",
      "3836\n",
      "아\n",
      "<class 'str'>\n",
      "3837\n",
      "아\n",
      "<class 'str'>\n",
      "3838\n",
      "웅\n",
      "<class 'str'>\n",
      "3839\n",
      "웅\n",
      "<class 'str'>\n",
      "3840\n",
      "아\n",
      "<class 'str'>\n",
      "3841\n",
      "갤\n",
      "<class 'str'>\n",
      "3842\n",
      "갤\n",
      "<class 'str'>\n",
      "3843\n",
      "아\n",
      "<class 'str'>\n",
      "3844\n",
      "갤\n",
      "<class 'str'>\n",
      "3845\n",
      "삼\n",
      "<class 'str'>\n",
      "3846\n",
      "노\n",
      "<class 'str'>\n",
      "3847\n",
      "2\n",
      "<class 'str'>\n",
      "3848\n",
      "아\n",
      "<class 'str'>\n",
      "3849\n",
      "(\n",
      "<class 'str'>\n",
      "3850\n",
      "아\n",
      "<class 'str'>\n",
      "3851\n",
      "테\n",
      "<class 'str'>\n",
      "3852\n",
      "갤\n",
      "<class 'str'>\n",
      "3853\n",
      "삼\n",
      "<class 'str'>\n",
      "3854\n",
      "아\n",
      "<class 'str'>\n",
      "3855\n",
      "갤\n",
      "<class 'str'>\n",
      "3856\n",
      "갤\n",
      "<class 'str'>\n",
      "3857\n",
      "애\n",
      "<class 'str'>\n",
      "3858\n",
      "아\n",
      "<class 'str'>\n",
      "3859\n",
      "아\n",
      "<class 'str'>\n",
      "3860\n",
      "갤\n",
      "<class 'str'>\n",
      "3861\n",
      "갤\n",
      "<class 'str'>\n",
      "3862\n",
      "갤\n",
      "<class 'str'>\n",
      "3863\n",
      "(\n",
      "<class 'str'>\n",
      "3864\n",
      "갤\n",
      "<class 'str'>\n",
      "3865\n",
      "미\n",
      "<class 'str'>\n",
      "3866\n",
      "갤\n",
      "<class 'str'>\n",
      "3867\n",
      "갤\n",
      "<class 'str'>\n",
      "3868\n",
      "[\n",
      "<class 'str'>\n",
      "3869\n",
      "아\n",
      "<class 'str'>\n",
      "3870\n",
      "아\n",
      "<class 'str'>\n",
      "3871\n",
      "(\n",
      "<class 'str'>\n",
      "3872\n",
      "아\n",
      "<class 'str'>\n",
      "3873\n",
      "아\n",
      "<class 'str'>\n",
      "3874\n",
      "갤\n",
      "<class 'str'>\n",
      "3875\n",
      "아\n",
      "<class 'str'>\n",
      "3876\n",
      "아\n",
      "<class 'str'>\n",
      "3877\n",
      "o\n",
      "<class 'str'>\n",
      "3878\n",
      "[\n",
      "<class 'str'>\n",
      "3879\n",
      "갤\n",
      "<class 'str'>\n",
      "3880\n",
      "아\n",
      "<class 'str'>\n",
      "3881\n",
      "(\n",
      "<class 'str'>\n",
      "3882\n",
      "[\n",
      "<class 'str'>\n",
      "3883\n",
      "아\n",
      "<class 'str'>\n",
      "3884\n",
      "갤\n",
      "<class 'str'>\n",
      "3885\n",
      "[\n",
      "<class 'str'>\n",
      "3886\n",
      "갤\n",
      "<class 'str'>\n",
      "3887\n",
      "아\n",
      "<class 'str'>\n",
      "3888\n",
      "갤\n",
      "<class 'str'>\n",
      "3889\n",
      "[\n",
      "<class 'str'>\n",
      "3890\n",
      "아\n",
      "<class 'str'>\n",
      "3891\n",
      "갤\n",
      "<class 'str'>\n",
      "3892\n",
      "태\n",
      "<class 'str'>\n",
      "3893\n",
      "아\n",
      "<class 'str'>\n",
      "3894\n",
      "갤\n",
      "<class 'str'>\n",
      "3895\n",
      "갤\n",
      "<class 'str'>\n",
      "3896\n",
      "갤\n",
      "<class 'str'>\n",
      "3897\n",
      "애\n",
      "<class 'str'>\n",
      "3898\n",
      "아\n",
      "<class 'str'>\n",
      "3899\n",
      "아\n",
      "<class 'str'>\n",
      "3900\n",
      "아\n",
      "<class 'str'>\n",
      "3901\n",
      "아\n",
      "<class 'str'>\n",
      "3902\n",
      "(\n",
      "<class 'str'>\n",
      "3903\n",
      "아\n",
      "<class 'str'>\n",
      "3904\n",
      "갤\n",
      "<class 'str'>\n",
      "3905\n",
      "갤\n",
      "<class 'str'>\n",
      "3906\n",
      "아\n",
      "<class 'str'>\n",
      "3907\n",
      "아\n",
      "<class 'str'>\n",
      "3908\n",
      "아\n",
      "<class 'str'>\n",
      "3909\n",
      "갤\n",
      "<class 'str'>\n",
      "3910\n",
      "갤\n",
      "<class 'str'>\n",
      "3911\n",
      "와\n",
      "<class 'str'>\n",
      "3912\n",
      "커\n",
      "<class 'str'>\n",
      "3913\n",
      "[\n",
      "<class 'str'>\n",
      "3914\n",
      "갤\n",
      "<class 'str'>\n",
      "3915\n",
      "아\n",
      "<class 'str'>\n",
      "3916\n",
      "아\n",
      "<class 'str'>\n",
      "3917\n",
      "아\n",
      "<class 'str'>\n",
      "3918\n",
      "갤\n",
      "<class 'str'>\n",
      "3919\n",
      "애\n",
      "<class 'str'>\n",
      "3920\n",
      "아\n",
      "<class 'str'>\n",
      "3921\n",
      "겔\n",
      "<class 'str'>\n",
      "3922\n",
      "아\n",
      "<class 'str'>\n",
      "3923\n",
      "[\n",
      "<class 'str'>\n",
      "3924\n",
      "대\n",
      "<class 'str'>\n",
      "3925\n",
      "아\n",
      "<class 'str'>\n",
      "3926\n",
      "(\n",
      "<class 'str'>\n",
      "3927\n",
      "아\n",
      "<class 'str'>\n",
      "3928\n",
      "아\n",
      "<class 'str'>\n",
      "3929\n",
      "[\n",
      "<class 'str'>\n",
      "3930\n",
      "[\n",
      "<class 'str'>\n",
      "3931\n",
      "아\n",
      "<class 'str'>\n",
      "3932\n",
      "삼\n",
      "<class 'str'>\n",
      "3933\n",
      "갤\n",
      "<class 'str'>\n",
      "3934\n",
      "아\n",
      "<class 'str'>\n",
      "3935\n",
      "갤\n",
      "<class 'str'>\n",
      "3936\n",
      "라\n",
      "<class 'str'>\n",
      "3937\n",
      "갤\n",
      "<class 'str'>\n",
      "3938\n",
      "샤\n",
      "<class 'str'>\n",
      "3939\n",
      "크\n",
      "<class 'str'>\n",
      "3940\n",
      "갤\n",
      "<class 'str'>\n",
      "3941\n",
      "갤\n",
      "<class 'str'>\n",
      "3942\n",
      "아\n",
      "<class 'str'>\n",
      "3943\n",
      "웅\n",
      "<class 'str'>\n",
      "3944\n",
      "아\n",
      "<class 'str'>\n",
      "3945\n",
      "아\n",
      "<class 'str'>\n",
      "3946\n",
      "애\n",
      "<class 'str'>\n",
      "3947\n",
      "레\n",
      "<class 'str'>\n",
      "3948\n",
      "아\n",
      "<class 'str'>\n",
      "3949\n",
      "아\n",
      "<class 'str'>\n",
      "3950\n",
      "아\n",
      "<class 'str'>\n",
      "3951\n",
      "갤\n",
      "<class 'str'>\n",
      "3952\n",
      "아\n",
      "<class 'str'>\n",
      "3953\n",
      "아\n",
      "<class 'str'>\n",
      "3954\n",
      "갤\n",
      "<class 'str'>\n",
      "3955\n",
      "아\n",
      "<class 'str'>\n",
      "3956\n",
      "W\n",
      "<class 'str'>\n",
      "3957\n",
      "아\n",
      "<class 'str'>\n",
      "3958\n",
      "아\n",
      "<class 'str'>\n",
      "3959\n",
      "갤\n",
      "<class 'str'>\n",
      "3960\n",
      "구\n",
      "<class 'str'>\n",
      "3961\n",
      "아\n",
      "<class 'str'>\n",
      "3962\n",
      "갤\n",
      "<class 'str'>\n",
      "3963\n",
      "갤\n",
      "<class 'str'>\n",
      "3964\n",
      "아\n",
      "<class 'str'>\n",
      "3965\n",
      "아\n",
      "<class 'str'>\n",
      "3966\n",
      "아\n",
      "<class 'str'>\n",
      "3967\n",
      "(\n",
      "<class 'str'>\n",
      "3968\n",
      "갤\n",
      "<class 'str'>\n",
      "3969\n",
      "테\n",
      "<class 'str'>\n",
      "3970\n",
      "민\n",
      "<class 'str'>\n",
      "3971\n",
      "겔\n",
      "<class 'str'>\n",
      "3972\n",
      "아\n",
      "<class 'str'>\n",
      "3973\n",
      "웅\n",
      "<class 'str'>\n",
      "3974\n",
      "아\n",
      "<class 'str'>\n",
      "3975\n",
      "광\n",
      "<class 'str'>\n",
      "3976\n",
      "아\n",
      "<class 'str'>\n",
      "3977\n",
      "태\n",
      "<class 'str'>\n",
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      "갤\n",
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      "3979\n",
      "갤\n",
      "<class 'str'>\n",
      "3980\n",
      "크\n",
      "<class 'str'>\n",
      "3981\n",
      "웅\n",
      "<class 'str'>\n",
      "3982\n",
      "아\n",
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      "아\n",
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      "아\n",
      "<class 'str'>\n",
      "3985\n",
      "갤\n",
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      "3986\n",
      "아\n",
      "<class 'str'>\n",
      "3987\n",
      "아\n",
      "<class 'str'>\n",
      "3988\n",
      "아\n",
      "<class 'str'>\n",
      "3989\n",
      "아\n",
      "<class 'str'>\n",
      "3990\n",
      "g\n",
      "<class 'str'>\n",
      "3991\n",
      "아\n",
      "<class 'str'>\n",
      "3992\n",
      "탭\n",
      "<class 'str'>\n",
      "3993\n",
      "갤\n",
      "<class 'str'>\n",
      "3994\n",
      "아\n",
      "<class 'str'>\n",
      "3995\n",
      "웅\n",
      "<class 'str'>\n",
      "3996\n",
      "갤\n",
      "<class 'str'>\n",
      "3997\n",
      "아\n",
      "<class 'str'>\n",
      "3998\n",
      "(\n",
      "<class 'str'>\n",
      "3999\n",
      "크\n",
      "<class 'str'>\n",
      "4000\n",
      "[\n",
      "<class 'str'>\n",
      "4001\n",
      "태\n",
      "<class 'str'>\n",
      "4002\n",
      "아\n",
      "<class 'str'>\n",
      "4003\n",
      "태\n",
      "<class 'str'>\n",
      "4004\n",
      "수\n",
      "<class 'str'>\n",
      "4005\n",
      "[\n",
      "<class 'str'>\n",
      "4006\n",
      "갤\n",
      "<class 'str'>\n",
      "4007\n",
      "아\n",
      "<class 'str'>\n",
      "4008\n",
      "갤\n",
      "<class 'str'>\n",
      "4009\n",
      "갤\n",
      "<class 'str'>\n",
      "4010\n",
      "<\n",
      "<class 'str'>\n",
      "4011\n",
      "갤\n",
      "<class 'str'>\n",
      "4012\n",
      "삼\n",
      "<class 'str'>\n",
      "4013\n",
      "갤\n",
      "<class 'str'>\n",
      "4014\n",
      "미\n",
      "<class 'str'>\n",
      "4015\n",
      "갤\n",
      "<class 'str'>\n",
      "4016\n",
      "탭\n",
      "<class 'str'>\n",
      "4017\n",
      "아\n",
      "<class 'str'>\n",
      "4018\n",
      "인\n",
      "<class 'str'>\n",
      "4019\n",
      "리\n",
      "<class 'str'>\n",
      "4020\n",
      "[\n",
      "<class 'str'>\n",
      "4021\n",
      "아\n",
      "<class 'str'>\n",
      "4022\n",
      "갤\n",
      "<class 'str'>\n",
      "4023\n",
      "갤\n",
      "<class 'str'>\n",
      "4024\n",
      "와\n",
      "<class 'str'>\n",
      "4025\n",
      "웅\n",
      "<class 'str'>\n",
      "4026\n",
      "[\n",
      "<class 'str'>\n",
      "4027\n",
      "아\n",
      "<class 'str'>\n",
      "4028\n",
      "레\n",
      "<class 'str'>\n",
      "4029\n",
      "아\n",
      "<class 'str'>\n",
      "4030\n",
      "하\n",
      "<class 'str'>\n",
      "4031\n",
      "와\n",
      "<class 'str'>\n",
      "4032\n",
      "갤\n",
      "<class 'str'>\n",
      "4033\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "'float' object is not subscriptable",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-295-9f93cf8b5a4e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtit\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: 'float' object is not subscriptable"
     ]
    }
   ],
   "source": [
    "j = 0 \n",
    "for i in tit:\n",
    "    print(i[0])\n",
    "    print(type(i))\n",
    "    print(j)\n",
    "    j += 1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "nan"
      ]
     },
     "execution_count": 296,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tit[4034]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "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>index</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>아이패드 프로 4세대 11 셀룰러 256GB + 펜슬 2세대</td>\n",
       "      <td>20:17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>갤럭시탭s7+ 256기가 와이파이 실버 (정품키보드포함) 팝니다</td>\n",
       "      <td>20:17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>아이패드 에서 4 11인치 와이파이+셀룰러 256기가 새상품급 + 매직키보드폴리오 ...</td>\n",
       "      <td>20:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>아이패드에어4 256GB 셀룰러+ WIFI 로즈골드 미개봉새상품 팝니다!!!</td>\n",
       "      <td>20:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>겔럭시 탭a 9.7 with s펜</td>\n",
       "      <td>20:15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5345</th>\n",
       "      <td>5345</td>\n",
       "      <td>아이패드 8세대 32GB Wi-Fi 스페이스 그레이 미개봉 팝니다.</td>\n",
       "      <td>21.04.21.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5346</th>\n",
       "      <td>5346</td>\n",
       "      <td>아이패드 8세대 + 애플펜슬 + 케이스 + 액정보호필름여분 판매합니다. Wifi 3...</td>\n",
       "      <td>21.04.21.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5347</th>\n",
       "      <td>5347</td>\n",
       "      <td>lg 10.1 v700n부품용 2만 판매합니다</td>\n",
       "      <td>21.04.21.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5348</th>\n",
       "      <td>5348</td>\n",
       "      <td>지패드3 10.1 LTE V755 팝니다</td>\n",
       "      <td>21.04.21.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5349</th>\n",
       "      <td>5349</td>\n",
       "      <td>아이패드 에어 4세대 및 프로 64기가 와이파이 모든색상 팝니다</td>\n",
       "      <td>21.04.21.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5349 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      index                                              title       date\n",
       "0         0                  아이패드 프로 4세대 11 셀룰러 256GB + 펜슬 2세대      20:17\n",
       "1         1                갤럭시탭s7+ 256기가 와이파이 실버 (정품키보드포함) 팝니다      20:17\n",
       "2         2  아이패드 에서 4 11인치 와이파이+셀룰러 256기가 새상품급 + 매직키보드폴리오 ...      20:16\n",
       "3         3         아이패드에어4 256GB 셀룰러+ WIFI 로즈골드 미개봉새상품 팝니다!!!      20:16\n",
       "4         4                                 겔럭시 탭a 9.7 with s펜      20:15\n",
       "...     ...                                                ...        ...\n",
       "5345   5345              아이패드 8세대 32GB Wi-Fi 스페이스 그레이 미개봉 팝니다.  21.04.21.\n",
       "5346   5346  아이패드 8세대 + 애플펜슬 + 케이스 + 액정보호필름여분 판매합니다. Wifi 3...  21.04.21.\n",
       "5347   5347                          lg 10.1 v700n부품용 2만 판매합니다  21.04.21.\n",
       "5348   5348                             지패드3 10.1 LTE V755 팝니다  21.04.21.\n",
       "5349   5349                아이패드 에어 4세대 및 프로 64기가 와이파이 모든색상 팝니다  21.04.21.\n",
       "\n",
       "[5349 rows x 3 columns]"
      ]
     },
     "execution_count": 298,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {},
   "outputs": [],
   "source": [
    "tit = data.title"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "공백값이 하나 있어서 오류가 났었습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "문장의 최단 길이: 1\n",
      "문장의 최장 길이: 120\n",
      "문장의 평균 길이: 30\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "min_len = 999\n",
    "max_len = 0\n",
    "sum_len = 0\n",
    "\n",
    "for sen in tit:\n",
    "    length = len(sen)\n",
    "    if min_len > length: min_len = length\n",
    "    if max_len < length: max_len = length\n",
    "    sum_len += length\n",
    "\n",
    "print(\"문장의 최단 길이:\", min_len)\n",
    "print(\"문장의 최장 길이:\", max_len)\n",
    "print(\"문장의 평균 길이:\", sum_len // len(tit))\n",
    "\n",
    "sentence_length = np.zeros((max_len), dtype=np.int)\n",
    "\n",
    "for sen in tit:\n",
    "    sentence_length[len(sen)-1] += 1\n",
    "\n",
    "plt.bar(range(max_len), sentence_length, width=1.0)\n",
    "plt.title(\"Sentence Length Distribution\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "문장 길이의 분포는 위와 같습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "\n",
    "wordcloud = WordCloud(font_path = fontpath , background_color= 'white', width = 800, height = 600).generate(' '.join(data['title']))\n",
    "\n",
    "plt.figure(figsize = (15,10))\n",
    "plt.imshow(wordcloud)\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2021 년 4월 21일부터 4월 28일 오후 8시 17분 까지의 데이터"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_sentence_with_length(tit, length):\n",
    "    count = 0\n",
    "    \n",
    "    for sen in tit:\n",
    "        if len(sen) == length:\n",
    "            print(sen)\n",
    "            count += 1\n",
    "            if count > 100: return"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "입력한 길이의 텍스트를 출력해주는 함수입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-\n"
     ]
    }
   ],
   "source": [
    "check_sentence_with_length(tit, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "m6\n",
      "ㅁㅁ\n",
      "완료\n",
      "완료\n"
     ]
    }
   ],
   "source": [
    "check_sentence_with_length(tit, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "단기탭\n",
      "와콤원\n",
      "단기탭\n"
     ]
    }
   ],
   "source": [
    "check_sentence_with_length(tit, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "판매완료\n",
      "판매완료\n",
      "완료 펑\n",
      "판매완료\n",
      "아이패드\n",
      "갤럭시탭\n",
      "거래완료\n",
      "거래완료\n",
      "판매완료\n",
      "판매완료\n"
     ]
    }
   ],
   "source": [
    "check_sentence_with_length(tit, 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "하프스터디\n",
      "카드단말기\n"
     ]
    }
   ],
   "source": [
    "check_sentence_with_length(tit, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "여기까지는 저희 모델에 별로 필요없는 부분입니다.\n",
    "\n",
    "길이 6 이상의 문제에는 필요한 부분이 많은것 같습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "레노버판매중\n",
      "삼성 ssd\n",
      "테블릿 급매\n",
      "갤럭시탭s6\n",
      "와콤원 판매\n",
      "(판매완료)\n",
      "페이퍼 프로\n",
      "애플워치 3\n",
      "s7 256\n",
      "태블릿팝니다\n",
      "닌텐도dsi\n",
      "닌텐도3ds\n",
      "갤럭시탭s7\n",
      "갤럭시탭s7\n",
      "멕북에어m1\n",
      "갤럭시탭A7\n",
      "테블릿 급매\n",
      "레노버P10\n",
      "비와이패드2\n",
      "갤럭시탭A7\n",
      "레노버P10\n",
      "갤럭시탭s7\n"
     ]
    }
   ],
   "source": [
    "check_sentence_with_length(tit, 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "크레마 사운드\n",
      "웅진 스마트올\n",
      "애플펜슬2세대\n",
      "갤럭시탭s7+\n",
      "갤럭시탭8.9\n",
      "갤럭시 탭7+\n",
      "아이패드미니3\n",
      "크레마 그랑데\n",
      "아이패드6세대\n",
      "아이패드에어3\n",
      "아이패드 프로\n",
      "갤럭시탭 s6\n",
      "아이패드미니1\n",
      "요가탭2윈도우\n",
      "s펜 플러스2\n",
      "서피스 프로6\n",
      "갤럭시탭 s6\n",
      "애플펜슬 풀박\n",
      "크레마 사운드\n",
      "샤오미 미패드\n",
      "레노버 태블릿\n",
      "갤럭시탭팝니다\n",
      "아이패드5세대\n",
      "갤럭시탭s7+\n",
      "아이패드미니3\n",
      "갤럭시탭s7+\n",
      "크레마 사운드\n"
     ]
    }
   ],
   "source": [
    "check_sentence_with_length(tit, 7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "길이가 60인 문장\n",
      "\n",
      "\n",
      "갤럭시 탭 s7플러스 (s7+) 256 lte 자급제 + 강화유리 + 보호필름류 / 급매 84만 (최종가격)\n",
      "갤럭시 탭S7+ 미스틱 네이비 12기가 ram,512gb,12.4인치 LET...개봉만한 거의 새것.....\n",
      "[신품급] 아이패드 프로 3세대 11인치 64기가 wifi 스페이스 그레이 + 스마트 폴리오 케이스(그레이)\n",
      "MS 서피스프로 7(Surface Pro7) 플래티넘 VDH-00008 미개봉 새 제품 정품 55만 급처!!\n",
      "아이패드 프로4세대 12.9 셀룰러 256기가 판매합니다.(+애플케어플러스추가, 보증 22년 5월 1일까지)\n",
      "갤럭시 탭 s7플러스 (s7+) 256 lte 자급제 + 강화유리 + 보호필름류 / 급매 84만 (최종가격)\n",
      "아이패드 프로4 11인치 128gb 와이파이 스페이스 그레이 + 애플펜슬 2세대 + 애플케어플러스 판매합니다\n",
      "[갤럭시 탭 S7+ 256GB(미스틱블랙 LTE단말자급제용) + 갤탭 정품 키보드 커버] 90만원에 팝니다.\n",
      "[갤럭시 탭 S7+ 256GB(미스틱블랙 LTE단말자급제용) + 갤탭 정품 키보드 커버] 90만원에 팝니다.\n",
      "서울직거래/안전거래] 아이패드프로4 12.9 128G 와이파이 실버 판매. 리퍼후 미사용. 택배비포함 95만\n",
      "상태S급. 아이패드프로 3세대 12.9인치 wifi+cellular 256GB 판매합니다.(전주/익산/군산)\n",
      "아이패드 프로4세대 12.9 셀룰러 256기가 판매합니다.(+애플케어플러스추가, 보증 22년 5월 1일까지)\n",
      "아이패드 프로 4세대 12.9 스페이스그레이 128기가 셀룰러 풀박스 판매합니다. 애케플(22.11.01.)\n",
      "아이패드 프로 4세대 12.9 스페이스그레이 128기가 셀룰러 풀박스 판매합니다. 애케플(22.11.01.)\n",
      "아이패드프로 3세대 11인치 스그 256GB 풀박스 셀룰러 팝니다(애플팬슬2세대, 키보드 폴리오케이스 포함)\n",
      "[신품급] 아이패드 프로 3세대 11인치 64기가 wifi 스페이스 그레이 + 스마트 폴리오 케이스(그레이)\n",
      "[미개봉 새제품] 삼성 갤럭시탭 S7 국내정발 자급제 11인치 WiFi 128GB 미스틱 실버 SM-T870\n",
      "[미개봉 새제품] 삼성 갤럭시탭 S7 국내정발 자급제 11인치 WiFi 128GB 미스틱 실버 SM-T870\n",
      "아이패드 프로 4세대 12.9 스페이스그레이 128기가 셀룰러 풀박스 판매합니다. 애케플(22.11.01.)\n",
      "아이패드 프로 4세대 12.9 스페이스그레이 128기가 셀룰러 풀박스 판매합니다. 애케플(22.11.01.)\n",
      "None\n",
      "\n",
      "\n",
      "길이가 61인 문장\n",
      "\n",
      "\n",
      "갤럭시탭 S7+ LTE 256G 미스틱 블랙 S급 팝니다. (SM-T975 , 12.4인치 모델) 대구 직거래\n",
      "아이패드 프로2세대 12.9인치 256 gb wifi 홍콩 버전 + 정품 키보드 + 애플 펜슬 합쳐서 팝니다.\n",
      "아이패드 8세대 32기가 골드 WIFI 미개봉 새제품 저렴하게 판매합니다 [미개봉 새제품 / 애플코리아 정품]\n",
      "아이패드 에어4세대 미개봉 64GB 셀룰러 스페이스 그레이 83만원에 팝니다 (서울 직거래 선호 자차배송가능)\n",
      "아이패드 4세대 12.9인치 256기가 wifi+셀룰러 실버 판매합니다. (애플케어플러스 포함) / 매직키보드\n",
      "마이크로 소프트 서피스프로3 cpu i7, ssd 256g, ram 8g (터치스크린) 배터리 특A급 팝니다.\n",
      "[우체국 택포 15.5만원] 갤럭시탭A 8.0 (2019출시) with s펜 모델 와이파이 전용 기기만 판매함\n",
      "아이패드 8세대 32기가 골드 WIFI 미개봉 새제품 저렴하게 판매합니다 [미개봉 새제품 / 애플코리아 정품]\n",
      "아이패드 프로 3세대 12.9 wifi+셀룰러 256기가(스페이스 그래이) + 정품 스마트폴리오 키보드 팝니다\n",
      "아이패드 프로 3세대 12.9 wifi+셀룰러 256기가(스페이스 그래이) + 정품 스마트폴리오 키보드 팝니다\n",
      "아이패드 프로 3세대 12.9 wifi+셀룰러 256기가(스페이스 그래이) + 정품 스마트폴리오 키보드 팝니다\n",
      "갤럭시탭 s7 플러스 wifi 256GB 브론즈(키보드 북커버 포함) 풀박스 구성으로 팝니다. (천안 직거래)\n",
      "아이패드 8세대 32기가 골드 WIFI 미개봉 새제품 저렴하게 판매합니다 [미개봉 새제품 / 애플코리아 정품]\n",
      "아이패드 4세대 12.9 wifi 128g 스그 120만 +애플케어(~22.10) +애플펜슬2 +케이스,파우치\n",
      "갤럭시탭 s7 플러스 wifi 256GB 브론즈(키보드 북커버 포함) 풀박스 구성으로 팝니다. (천안 직거래)\n",
      "None\n",
      "\n",
      "\n",
      "길이가 62인 문장\n",
      "\n",
      "\n",
      "아이패드 프로 4세대 12.9인치 WIFI 128G + 애플케어 + 트랙패드 + 매직키보드 + 정품 가죽 케이스\n",
      "아이패드 프로 4세대 128GB 스그 셀룰러 (애케플 22년 5월까지 적용) + 정품 스마트 폴리오 판매합니다.\n",
      "[새제품] 갤럭시탭 S6 lite 64기가 Wifi 옥스포드 그레이 색상 팝니다. (삼성 정품 팬, 커버 포함)\n",
      "아이패드 프로 4세대 12.9인치 WIFI 256G 스페이스그레이 + 매직키보드 + 애플케어 팝니다.(일괄판매)\n",
      "아이패드 프로 4세대 wifi 11인치 , 키보드와 애플펜슬 애플케어까지 1년이상 남은 제품 초저가 판매 풀박스\n",
      "갤럭시탭 A6 10.1 With S Pen (P580) WiFi 전용 2019년 제조 팝니다 [150,000원]\n",
      "가격내림 갤럭시탭s7 / LTE / 128 / 자급제 / 실버 / 정품키보드 포함 팝니다. 인천,시흥,안산,부천\n",
      "갤럭시탭 A6 10.1 With S Pen (P580) WiFi 전용 2019년 제조 팝니다 [150,000원]\n",
      "[새제품] 갤럭시탭 S6 lite 64기가 Wifi 옥스포드 그레이 색상 팝니다. (삼성 정품 팬, 커버 포함)\n",
      "[새제품] 갤럭시탭 S6 lite 64기가 Wifi 옥스포드 그레이 색상 팝니다. (삼성 정품 팬, 커버 포함)\n",
      "(부산) 아이패드 미니 5세대 256기가 셀룰러 로즈골드 팝니다. 50만원. 애플케어+ 22년 3월 13일 까지\n",
      "아이패드 프로 3세대 256 wifi + 애플케어플러스 / 풀박스 & 케이스 필름 다 드려요 (리퍼 제품 아님)\n",
      "None\n",
      "\n",
      "\n",
      "길이가 63인 문장\n",
      "\n",
      "\n",
      "[미개봉] LG G 패드3 8.0 16G V425 WIFI 실버 (코로나QR, EBOOK, 유아, 업무, 전시용)\n",
      "애플 아이패드 프로 12.9 4세대 256 셀룰러 스페이스 그레이 (케어플러스 , 정품 스마트폴리오 켁터스) 개인\n",
      "[서울 상암]아이패드 프로 4세대(2세대) 셀룰러 11인치 128gb + 애플케어플러스가입완료 + 애플펜슬 2세대\n",
      "[85만]아이패드 프로 3세대 11인치 64기가 스그, 스마트키보드폴리오, 애플펜슬 2세대 판매합니다. [풀박스]\n",
      "[85만]아이패드 프로 3세대 11인치 64기가 스그, 스마트키보드폴리오, 애플펜슬 2세대 판매합니다. [풀박스]\n",
      "None\n",
      "\n",
      "\n",
      "길이가 64인 문장\n",
      "\n",
      "\n",
      "아이패드 프로 4세대 12.9inch 256기가 셀룰러 애플케어플러스 가입 s급 판매합니다.(자급제) 스페이스그레이\n",
      "아이패드 프로 11형 4세대 wifi+셀룰러 256기가 상태최상, 매직키보드, 스마트폴리오 함께 풀박스 판매합니다.\n",
      "아이패드에어3 64기가 스페이스그레이 와이파이버전 풀박스 + 애플 정품 스마트커버 판매합니다.(애플케어플러스 가능)\n",
      "아이패드 프로 4세대 12.9inch 256기가 셀룰러 애플케어플러스 가입 s급 판매합니다.(자급제) 스페이스그레이\n",
      "None\n",
      "\n",
      "\n",
      "길이가 65인 문장\n",
      "\n",
      "\n",
      "애플 아이폰12 블랙 128g 구입 3일차 단순변심 + 애플 정품 충전기 // 99만원 판매 // 김포 장기동 직거래\n",
      "재*재인하)갤럭시탭 A 9.7 SM-P555L lte 32기가 13만원(서울 양천구)-->12만-->11.5-->11\n",
      "갤럭시 탭 S7+ 플러스 SM-T975 256G LTE 미스틱브론즈 (키보드 북커버 / UAG케이스 포함) 일괄 매매\n",
      "갤럭시 탭s7+ (s7플러스) LTE 256gb 자급제 박스풀 + 강화유리 + 보호필름 = 84만 (급매, 최종가격)\n",
      "S급 아이패드 프로 4세대 12.9 스페이스그레이 128기가 셀룰러 풀박스 판매합니다. 애케플 종료 22.11.01.\n",
      "S급 아이패드 프로 4세대 12.9 스페이스그레이 128기가 셀룰러 풀박스 판매합니다. 애케플 종료 22.11.01.\n",
      "None\n",
      "\n",
      "\n",
      "길이가 66인 문장\n",
      "\n",
      "\n",
      "아이패드 프로 4세대 12.9형 wi-fi 256g+애플팬슬2 서비스 파우치+로지텍 블루투스 키보드 마우스 판매합니다.\n",
      "아이패드프로 2세대 12.9 + 애플펜슬 배터리95% / 양면 보호필름 + 종이질감 필름 초S급 /광명역(KTX직거래)\n",
      "아이패드프로 11인치 4세대 + 셀룰러 + 256기가 + 매직키보드 + 애플펜슬 2세대 + 애플케어플러스 + 박스 풀셋\n",
      "None\n",
      "\n",
      "\n",
      "길이가 67인 문장\n",
      "\n",
      "\n",
      "(서울 천호) 아이패드 프로 3세대 12.9인치 wifi 64GB 실버 + 정품 스마트 폴리오 케이스 풀박스 판매합니다.\n",
      "[아이패드 프로 3세대] 12.9인치 와이파이 256기가 스페이스 그레이 & 애플펜슬 (풀박스, 애케플 O) 판매합니다.\n",
      "부산 아이패드미니5 셀룰러64g 배터리효율100% 풀박스 최상급 + 애플펜슬 애플케어플러스 21년 5월22일까지 49만원\n",
      "None\n",
      "\n",
      "\n",
      "길이가 68인 문장\n",
      "\n",
      "\n",
      "아이패드프로 4세대 12.9(S급+) WIFI 128GB 스그(애플케어플러스 보증:23/02/23까지) 저렴하게 판매합니다\n",
      "[서울/강북구] 아마존 파이어 HD 10 2019 32GB 블랙 미개봉+플립케이스 미개봉+강화유리 보호필름 미개봉 팝니다.\n",
      "None\n",
      "\n",
      "\n",
      "길이가 69인 문장\n",
      "\n",
      "\n",
      "[890,000원]아이패드 프로 3세대 12.9 64GB 스페이스그레이 리퍼 후 미사용 / 구성품 풀박스 및 미사용 SSS급\n",
      "None\n",
      "\n",
      "\n",
      "길이가 70인 문장\n",
      "\n",
      "\n",
      "아이패드 에서 4 11인치 와이파이+셀룰러 256기가 새상품급 + 매직키보드폴리오 + 애플펜슬 패키지로 100만원에 드립니다.\n",
      "삼성 데스크탑 DM500T9A-A58, (i5-9400 / 256 ssd / GTX1650 4gb / win10 / 삼성정품)\n",
      "105만원=아이패드 프로3세대 12.9인치 512GB WiFi모델 미개봉 리퍼 새제품(S+급)+애플케어플러스 빠른구매바랍니다.\n",
      "삼성 데스크탑 DM500T9A-A58, (i5-9400 / 256 ssd / GTX1650 4gb / win10 / 삼성정품)\n",
      "[5% DC] 맥북 / 아이패드 / 아이폰 외 기타 애플 신제품 공홈 주문 판매합니다. (180만원 상당 사내 복지카드 사용)\n",
      "None\n",
      "\n",
      "\n",
      "길이가 71인 문장\n",
      "\n",
      "\n",
      "[판매중] APPLE IPAD PRO 4 LTE 128GB 애플 아이패드 프로 4세대 셀룰러 128기가 12.9인치 판매합니다.\n",
      "[판매중] APPLE IPAD PRO 4 LTE 128GB 애플 아이패드 프로 4세대 셀룰러 128기가 12.9인치 판매합니다.\n",
      "[판매중] APPLE IPAD PRO 4 LTE 128GB 애플 아이패드 프로 4세대 셀룰러 128기가 12.9인치 판매합니다.\n",
      "MPIGIO 태블릿 PC 8인치 16기가 와이파이 전용 39,000원에 / 법인용 구입하고 남은 유류분 엄청 싸게 정리 합니다.\n",
      "삼성 갤럭시 탭 S7+(플러스) 셀룰러 5G(LTE) 256G + 키보드 커버 + 버즈 라이브(선택) 인천 서구 석남동 (개인)\n",
      "None\n",
      "\n",
      "\n",
      "길이가 72인 문장\n",
      "\n",
      "\n",
      "iPad Pro (12.9형)(4세대) 512G 스페이스 그레이/아이패드 프로 (12.9형)(4세대) MXAV2KH/A판매합니다.\n",
      "아이패드 프로 4세대 12.9 판매합니다. 128G셀룰러 115 한정 판매 수량 3대씩 더 왓어요 256G셀룰러 130 한정 수량\n",
      "아이패드 프로 4세대 12.9 판매합니다. 128G셀룰러 115 한정 판매 수량 3대씩 더 왓어요 256G셀룰러 130 한정 수량\n",
      "아이패드 프로 4세대 12.9 판매합니다. 128G셀룰러 115 한정 판매 수량 3대씩 더 왓어요 256G셀룰러 130 한정 수량\n",
      "None\n",
      "\n",
      "\n",
      "길이가 73인 문장\n",
      "\n",
      "\n",
      "## A급 배터리 효율 96퍼 아이패드 에어 2세대 21만원에 팝니다 (개인) -- 직거래 서울 신림역 or 서울대입구역 가능합니다\n",
      "아이패드프로4세대 12.9(128GB) WIFI+Cellular + 매직키보드2세대 + 에플펜슬 2세대 일괄 판매합니다. 네고 가능\n",
      "뇌새김 WM-LG8200 (토크 + 워드프리미엄 + 기초영어 + 왕초보스피킹 + 왕초보여행영어 + 비즈니스영어 + 처음영어) 팝니다\n",
      "삼성전자 (SHW-M500W)갤럭시 노트 8.0W Wi-Fi 16GB(와콤 태블릿) / 액정번짐 / 1만5천원 / 편의점반값택배가능\n",
      "None\n",
      "\n",
      "\n",
      "길이가 74인 문장\n",
      "\n",
      "\n",
      "아이패드 11인치 1세대 wifi-cellulare 256기가 +애플 정품 스마트키보드+애플 정품 커버+오터 박스 케이스 (가격내림)\n",
      "아이패드 11인치 1세대 wifi-cellulare 256기가 +애플 정품 스마트키보드+애플 정품 커버+오터 박스 케이스 (가격내림)\n",
      "아이패드 프로 ipad pro 10.5형 A급 셀룰러 로즈골드 풀박 64g, 에어팟 프로 airpods pro 미개봉 새제품 팝니다.\n",
      "None\n",
      "\n",
      "\n",
      "길이가 75인 문장\n",
      "\n",
      "\n",
      "아이패드 프로 2세대 10.5 256g 셀룰러 스페이스그레이 A급 (ipad pro 10.5 2th 256gb 256기가 스그 샐룰러)\n",
      "대전) 서피스프로6 (surface pro 6) ﻿i5-8250U SSD128GB/RAM8GB + 타입커버 + 서피스펜 등 판매합니다.\n",
      "(풀박스)아이패드 에어3세대 64GB Wi-fi, 실버 + 애플 정품 가죽케이스 + 애플팬슬 1세대 + 애캐플 22년2월 종료 팝니다.\n",
      "(풀박스)아이패드 에어3세대 64GB Wi-fi, 실버 + 애플 정품 가죽케이스 + 애플팬슬 1세대 + 애캐플 22년2월 종료 팝니다.\n",
      "None\n",
      "\n",
      "\n",
      "길이가 76인 문장\n",
      "\n",
      "\n",
      "아이패드프로 2세대 12.9인치 256g wifi 풀박스 스페이스그레이 판매합니다! + 1세대 애플펜슬+케이스같이판매합니다. 전부다드려요\n",
      "서피스 프로3 i5 힐링쉴드 보호필름 부착 판매합니다. 내용 있음.마이크로소프트 2in1노트북 윈도우 태블릿, 바람의나라 같은 게임 가능\n",
      "LENOVO YT3-X90F 레노버 요가탭3 / Yoga Tab 3 Pro 리프레쉬 64G / RAM 4GB / 빔프로젝트 / 10.1\"\n",
      "아이패드 프로 3세대 12.9인치 셀룰러 1tb 스페이스 그레이, 애플펜슬 2세대 일괄 판매합니다. 서울 2호선 신림 직거래, 110만원\n",
      "갤럭시탭 A6 10.1 With s pen (sm-p585n0) LTE+WIFI 32GB 자급제 팝니다. (마지막 판매글입니다 11만원)\n",
      "None\n",
      "\n",
      "\n",
      "길이가 77인 문장\n",
      "\n",
      "\n",
      "[팝니다] 대전 galaxy tab s7 갤럭시 탭 s7 wifi 128GB 팝니다. 미스틱 블랙 (직거래, 안전거래, 택배거래 다 가능)\n",
      "None\n",
      "\n",
      "\n",
      "길이가 78인 문장\n",
      "\n",
      "\n",
      "갤럭시탭 S6 lte 128기가+ 박풀(이어폰, S펜팁은 건들지도 않음)+ 정품 키보드 케이스 + 강화유리 새것 1장 + 슈피겐 케이스 중고\n",
      "아이패드 프로 3세대 11인치 wifi+셀룰러(lte) 1테라 용량 리퍼후 미개봉(애플케어+ “21년8월8일까지) 직거래로 팝니다_세종,청주\n",
      "None\n",
      "\n",
      "\n",
      "길이가 79인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 80인 문장\n",
      "\n",
      "\n",
      "아이패드 프로 3세대 12.9 512기가 셀롤러(LTE)+애케플 애플펜슬2세대(새상품) + 스마트 키보드 폴리오(새상품) + 케이스 + 보호필름\n",
      "None\n",
      "\n",
      "\n",
      "길이가 81인 문장\n",
      "\n",
      "\n",
      "[아이패드 프로 2세대 12.9 Wifi 256 GB] iPad Pro 2nd 12.9 wifi 256 GB 모델 (아이패드 + 케이스, 박스x)\n",
      "None\n",
      "\n",
      "\n",
      "길이가 82인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 83인 문장\n",
      "\n",
      "\n",
      "[교환]아이패드 프로 4세대 256g wifi + 매직키보드 + 애플캐 + 애플팬슬2 + 담탁파우치(esr케이스도 있어요)를 맥북(m1) 교환원해요~\n",
      "None\n",
      "\n",
      "\n",
      "길이가 84인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 85인 문장\n",
      "\n",
      "\n",
      "아이패드 프로 11인치 2세대 128g wifi 스페이스그레이 + 애플펜슬2세대 +애플정품 스마트폴리오 핑크 샌드 팝니다. 직거래(대전) or 택배거래.\n",
      "[개인]갤탭S7 128g(키보드포함) /아이패드 프로3세대 12.9 셀룰러 256g (스마트 매직키보드, 스마트 폴리오 키보드 애플펜슬 포함) 판매합니다\n",
      "아이패드 프로 11인치 2세대 128g wifi 스페이스그레이 + 애플펜슬2세대 +애플정품 스마트폴리오 핑크 샌드 팝니다. 직거래(대전) or 택배거래.\n",
      "None\n",
      "\n",
      "\n",
      "길이가 86인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 87인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 88인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 89인 문장\n",
      "\n",
      "\n",
      "아이패드프로 2세대 256g wifi 스페이스그레이 풀박스 + 애플펜슬1세대 풀박스 + 정품 케이스 + 로지텍 키보드 + 키보드 가죽 케이스 + 여분 액정 필름\n",
      "아이패드 프로 4세대 12.9인치 셀룰러 256gb (부천, 서울, 인천, 강서, 대구4세대 12.9인치 셀룰러 256gb (부천, 서울, 인천, 강서, 대구)\n",
      "None\n",
      "\n",
      "\n",
      "길이가 90인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 91인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 92인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 93인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 94인 문장\n",
      "\n",
      "\n",
      "부산 & 전국 - 갤럭시탭 S6 Lite Lte 128GB 옥스포드 그레이 미개봉과 액세서리 & 갤럭시탭 S6 Lite Lte 128GB 앙고라 블루 SSS급과 액세서리\n",
      "None\n",
      "\n",
      "\n",
      "길이가 95인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 96인 문장\n",
      "\n",
      "\n",
      "이학민 토목직 인강 65만원,해커스 공통 과목 인강 49만원 기기 등록 해놓은 태블릿(갤럭시탭 A8.0) 팔아요. 태블릿 케이스랑 필름 붙어있고 여유 필름까지 다 드릴게요.\n",
      "None\n",
      "\n",
      "\n",
      "길이가 97인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 98인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 99인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 100인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 101인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 102인 문장\n",
      "\n",
      "\n",
      "아이패드프로3세대 11형 64G WIFI 실버 + 10만원 상당의 moshi-versacover-case 및 투명 케이스 + 종이질감 액정 보호 필름 및 일반 액정보호 필름 드립니다.\n",
      "아이패드프로3세대 11형 64G WIFI 실버 + 10만원 상당의 moshi-versacover-case 및 투명 케이스 + 종이질감 액정 보호 필름 및 일반 액정보호 필름 드립니다.\n",
      "아이패드프로3세대 11형 64G WIFI 실버 + 10만원 상당의 moshi-versacover-case 및 투명 케이스 + 종이질감 액정 보호 필름 및 일반 액정보호 필름 드립니다.\n",
      "아이패드프로3세대 11형 64G WIFI 실버 + 10만원 상당의 moshi-versacover-case 및 투명 케이스 + 종이질감 액정 보호 필름 및 일반 액정보호 필름 드립니다.\n",
      "None\n",
      "\n",
      "\n",
      "길이가 103인 문장\n",
      "\n",
      "\n",
      "iPad Pro 12.9형 (4세대), 스페이스그레이, 128GB, Wi-Fi ﻿+ 정품 스마트폴리오 커버(네이비), 애플펜슬 2세대, 애플 매직 키보드2(영문 자판), 아이패드 파우치\n",
      "None\n",
      "\n",
      "\n",
      "길이가 104인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 105인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 106인 문장\n",
      "\n",
      "\n",
      "[판매완료][IPAD PRO 4] 애플 아이패드 프로 4세대 12.9인치 256GB 스페이스 그레이 와이파이 + 셀룰러 애플 케어 플러스(~23.3.7) 애플 펜슬 2세대, 슈피겐 액정 필름\n",
      "None\n",
      "\n",
      "\n",
      "길이가 107인 문장\n",
      "\n",
      "\n",
      "[개인]갤탭S7 128g(키보드포함) /아이패드에어4 64g (키보드포함,펜슬포함) / 아이패드 프로3세대 12.9 셀룰러 256g (스마트 매직키보드, 스마트 폴리오 키보드 포함) 판매합니다\n",
      "None\n",
      "\n",
      "\n",
      "길이가 108인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 109인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 110인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 111인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 112인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 113인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 114인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 115인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 116인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 117인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 118인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 119인 문장\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n",
      "길이가 120인 문장\n",
      "\n",
      "\n",
      "<부산 사하구, 경남 창원시 직거래> 아이패드 프로 11형 3세대 wifi 256기가 S급(전후면필름), 매직키보드(S급), 애플펜슬 2세대, 파우치 / 애플케어플러스(2021년 11월 초까지)일괄 함께 판매합니다.\n",
      "<부산 사하구, 경남 창원시 직거래> 아이패드 프로 11형 3세대 wifi 256기가 S급(전후면필름), 매직키보드(S급), 애플펜슬 2세대, 파우치 / 애플케어플러스(2021년 11월 초까지)일괄 함께 판매합니다.\n",
      "[미개봉]아이패드 프로 4세대 256기가 12.9인치 와이파이 스레이스그레이/125만/서울경기수도권 거리 조율해 직접 방문 거래(당일 받을 수 있음)/현장에서 시리얼 넘버로 애플코리아 확인 가능(애플케어플러스 가능)\n",
      "None\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i in range(60,121):\n",
    "    print(f'길이가 {i}인 문장')\n",
    "    print('\\n')\n",
    "    print(check_sentence_with_length(tit, i))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "max_len = 120\n",
    "min_len = 6\n",
    "\n",
    "# 길이 조건에 맞는 문장만 선택합니다.\n",
    "filtered_corpus = [s for s in tit if (len(s) < max_len) & (len(s) >= min_len)]\n",
    "\n",
    "# 분포도를 다시 그려봅니다.\n",
    "sentence_length = np.zeros((max_len), dtype=np.int)\n",
    "\n",
    "for sen in filtered_corpus:\n",
    "    sentence_length[len(sen)-1] += 1\n",
    "\n",
    "plt.bar(range(max_len), sentence_length, width=1.0)\n",
    "plt.title(\"Sentence Length Distribution\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re                  # 정규표현식을 위한 Regex 지원 모듈 (문장 데이터를 정돈하기 위해) \n",
    "import numpy as np         # 변환된 문장 데이터(행렬)을 편하게 처리하기 위해\n",
    "import tensorflow as tf    # 대망의 텐서플로우!\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<start> this is sample sentence. <end>\n"
     ]
    }
   ],
   "source": [
    "def preprocess_sentence(sentence):\n",
    "    sentence = sentence.lower().strip()       # 소문자로 바꾸고 양쪽 공백을 삭제\n",
    "  \n",
    "    # 아래 3단계를 거쳐 sentence는 스페이스 1개를 delimeter로 하는 소문자 단어 시퀀스로 바뀝니다.\n",
    "#     sentence = re.sub(r\"([?!,¿])\", r\" \\1 \", sentence)        # 패턴의 특수문자를 만나면 특수문자 양쪽에 공백을 추가\n",
    "    sentence = re.sub(r'[\" \"]+', \" \", sentence)                  # 공백 패턴을 만나면 스페이스 1개로 치환\n",
    "#    sentence = re.sub(r\"[^a-zA-Z0-9ㄱ-ㅎ|가-힣?.!,+¿]+\", \" \", sentence)  # a-zA-Z0-9ㄱ-ㅎ|가-힣?.!,+¿ 패턴을 제외한 모든 문자(공백문자까지도)를 스페이스 1개로 치환\n",
    "\n",
    "    sentence = sentence.strip()\n",
    "\n",
    "    sentence = '<start> ' + sentence + ' <end>'      # 이전 스텝에서 본 것처럼 문장 앞뒤로 <start>와 <end>를 단어처럼 붙여 줍니다\n",
    "    \n",
    "    return sentence\n",
    "\n",
    "print(preprocess_sentence(\"This is sample        sentence.\"))   # 이 문장이 어떻게 필터링되는지 되는것을 통해 확인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['<start> 아이패드 프로 4세대 11 셀룰러 256gb + 펜슬 2세대 <end>',\n",
       " '<start> 갤럭시탭s7+ 256기가 와이파이 실버 (정품키보드포함) 팝니다 <end>',\n",
       " '<start> 아이패드 에서 4 11인치 와이파이+셀룰러 256기가 새상품급 + 매직키보드폴리오 + 애플펜슬 패키지로 100만원에 드립니다. <end>',\n",
       " '<start> 아이패드에어4 256gb 셀룰러+ wifi 로즈골드 미개봉새상품 팝니다!!! <end>',\n",
       " '<start> 겔럭시 탭a 9.7 with s펜 <end>',\n",
       " '<start> 리디북스 리디페이퍼 3세대 전자책 팝니다 <end>',\n",
       " '<start> 삼성 갤럭시 탭a 10.5 풀박스 상태s 팔아요 <end>',\n",
       " '<start> [교환]아이패드 프로 4세대 256g wifi + 매직키보드 + 애플캐 + 애플팬슬2 + 담탁파우치(esr케이스도 있어요)를 맥북(m1) 교환원해요~ <end>',\n",
       " '<start> 갤럭시 탭 s4 wifi 256gb 33만 <end>',\n",
       " '<start> 아이패드 프로4세대 11인치 wifi 128g 미개봉 새제품 판매합니다. <end>']"
      ]
     },
     "execution_count": 310,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corpus = []\n",
    "new_corpus = []\n",
    "bad_corpus = []\n",
    "\n",
    "for sentence in tit:\n",
    "    if len(sentence) == 0: continue        \n",
    "    corpus.append(preprocess_sentence(sentence))\n",
    "        \n",
    "corpus[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<start> 아이패드 에서 4 11인치 와이파이+셀룰러 256기가 새상품급 + 매직키보드폴리오 + 애플펜슬 패키지로 100만원에 드립니다. <end>\n"
     ]
    }
   ],
   "source": [
    "for i in range((len(corpus))-1):\n",
    "    if len(corpus[i].split(' ')) <= 15:\n",
    "        new_corpus.append(corpus[i])\n",
    "    else :\n",
    "        bad_corpus.append(corpus[i])\n",
    "        \n",
    "print(bad_corpus[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[   2    4    6 ...    0    0    0]\n",
      " [   2   70   41 ...    0    0    0]\n",
      " [   2  142   16 ...    0    0    0]\n",
      " ...\n",
      " [   2    4   68 ...    0    0    0]\n",
      " [   2  138   71 ...    0    0    0]\n",
      " [   2 1167   71 ...    0    0    0]] <keras_preprocessing.text.Tokenizer object at 0x7f038e4ce190>\n"
     ]
    }
   ],
   "source": [
    "def tokenize(corpus):\n",
    "    # 텐서플로우에서 제공하는 Tokenizer 패키지를 생성\n",
    "    tokenizer = tf.keras.preprocessing.text.Tokenizer(\n",
    "        num_words= 12000,  # 전체 단어의 개수 \n",
    "        filters=' ',    # 별도로 전처리 로직을 추가할 수 있습니다. 이번에는 사용하지 않겠습니다.\n",
    "        oov_token=\"<unk>\"  # out-of-vocabulary, 사전에 없었던 단어는 어떤 토큰으로 대체할지\n",
    "    )\n",
    "    tokenizer.fit_on_texts(corpus)   # 우리가 구축한 corpus로부터 Tokenizer가 사전을 자동구축하게 됩니다.\n",
    "\n",
    "    # 이후 tokenizer를 활용하여 모델에 입력할 데이터셋을 구축하게 됩니다.\n",
    "    tensor = tokenizer.texts_to_sequences(corpus)   # tokenizer는 구축한 사전으로부터 corpus를 해석해 Tensor로 변환합니다.\n",
    "\n",
    "    # 입력 데이터의 시퀀스 길이를 일정하게 맞추기 위한 padding  메소드를 제공합니다.\n",
    "    # maxlen의 디폴트값은 None입니다. 이 경우 corpus의 가장 긴 문장을 기준으로 시퀀스 길이가 맞춰집니다.\n",
    "    tensor = tf.keras.preprocessing.sequence.pad_sequences(tensor,maxlen= 15, padding='post')  \n",
    "\n",
    "    print(tensor,tokenizer)\n",
    "    return tensor, tokenizer\n",
    "\n",
    "tensor, tokenizer = tokenize(new_corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[  2   4   6   9 110  10  16   8 105  26   3   0   0   0]\n",
      "[  4   6   9 110  10  16   8 105  26   3   0   0   0   0]\n"
     ]
    }
   ],
   "source": [
    "src_input = tensor[:, :-1]  # tensor에서 마지막 토큰을 잘라내서 소스 문장을 생성합니다. 마지막 토큰은 <end>가 아니라 <pad>일 가능성이 높습니다.\n",
    "tgt_input = tensor[:, 1:]    # tensor에서 <start>를 잘라내서 타겟 문장을 생성합니다.\n",
    "\n",
    "print(src_input[0])\n",
    "print(tgt_input[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(94446, 14)"
      ]
     },
     "execution_count": 331,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "src_input.shape\n",
    "tgt_input.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "enc_train, enc_val, dec_train, dec_val = train_test_split(src_input,tgt_input,train_size = 0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Source Train: (75556, 14)\n",
      "Target Train: (75556, 14)\n"
     ]
    }
   ],
   "source": [
    "print(\"Source Train:\", enc_train.shape)\n",
    "print(\"Target Train:\", dec_train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [],
   "source": [
    "class TextGenerator(tf.keras.Model):\n",
    "    def __init__(self, vocab_size, embedding_size, hidden_size):\n",
    "        super(TextGenerator, self).__init__()\n",
    "        \n",
    "        self.embedding = tf.keras.layers.Embedding(vocab_size, embedding_size)\n",
    "        self.rnn_1 = tf.keras.layers.LSTM(hidden_size, return_sequences=True)\n",
    "        self.rnn_2 = tf.keras.layers.LSTM(hidden_size, return_sequences=True)\n",
    "\n",
    "        self.linear = tf.keras.layers.Dense(vocab_size)\n",
    "        \n",
    "    def call(self, x):\n",
    "        out = self.embedding(x)\n",
    "        out = self.rnn_1(out)\n",
    "        out = self.rnn_2(out)\n",
    "        out = self.linear(out)\n",
    "        \n",
    "        return out\n",
    "    \n",
    "embedding_size = 512\n",
    "hidden_size = 2048\n",
    "model = TextGenerator(tokenizer.num_words + 1, embedding_size , hidden_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BatchDataset shapes: ((256, 14), (256, 14)), types: (tf.int32, tf.int32)>"
      ]
     },
     "execution_count": 335,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BUFFER_SIZE = len(src_input)\n",
    "BATCH_SIZE = 256\n",
    "steps_per_epoch = len(src_input) // BATCH_SIZE\n",
    "\n",
    "VOCAB_SIZE = tokenizer.num_words + 1    # tokenizer가 구축한 단어사전 내 7000개와, 여기 포함되지 않은 0:<pad>를 포함하여 7001개\n",
    "\n",
    "dataset = tf.data.Dataset.from_tensor_slices((enc_train, dec_train)).shuffle(BUFFER_SIZE)\n",
    "dataset = dataset.batch(BATCH_SIZE, drop_remainder=True)\n",
    "dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(256, 14, 12001), dtype=float32, numpy=\n",
       "array([[[-1.08557040e-04, -3.20876541e-04,  2.04402295e-05, ...,\n",
       "         -4.46926279e-05, -1.63610050e-04,  1.58638242e-04],\n",
       "        [-2.68322096e-04, -1.33161724e-04,  7.90673657e-05, ...,\n",
       "         -2.38429231e-04, -1.66420883e-04,  3.19748651e-04],\n",
       "        [-3.48647241e-04,  1.05487692e-04,  2.49745208e-04, ...,\n",
       "         -8.08068493e-04, -6.13101758e-04,  5.98768311e-05],\n",
       "        ...,\n",
       "        [-7.97156361e-04,  1.64367130e-03,  2.26521073e-03, ...,\n",
       "         -9.87452571e-04, -2.80882046e-03,  5.52497804e-04],\n",
       "        [-9.30089271e-04,  1.70399097e-03,  2.49019847e-03, ...,\n",
       "         -1.25144154e-03, -3.10377777e-03,  6.47728157e-04],\n",
       "        [-1.05781772e-03,  1.77348230e-03,  2.67842272e-03, ...,\n",
       "         -1.49764400e-03, -3.35857621e-03,  7.57708622e-04]],\n",
       "\n",
       "       [[-1.08557040e-04, -3.20876541e-04,  2.04402295e-05, ...,\n",
       "         -4.46926279e-05, -1.63610050e-04,  1.58638242e-04],\n",
       "        [ 3.77336582e-05, -4.97493718e-04,  3.62438095e-06, ...,\n",
       "         -1.19608027e-04, -3.05530499e-04,  1.47451909e-04],\n",
       "        [ 1.83513737e-04, -6.75478543e-04, -2.16551580e-05, ...,\n",
       "          1.59626084e-04, -8.86359267e-05,  2.25930606e-04],\n",
       "        ...,\n",
       "        [-4.57643910e-04,  1.26731512e-03,  2.18345667e-03, ...,\n",
       "         -1.74891917e-04, -2.11556372e-03,  5.43624919e-04],\n",
       "        [-6.36288198e-04,  1.40253687e-03,  2.39257468e-03, ...,\n",
       "         -5.43265778e-04, -2.56396900e-03,  6.39509410e-04],\n",
       "        [-8.04117124e-04,  1.52755529e-03,  2.57245009e-03, ...,\n",
       "         -8.90438154e-04, -2.94740964e-03,  7.45065860e-04]],\n",
       "\n",
       "       [[-1.08557040e-04, -3.20876541e-04,  2.04402295e-05, ...,\n",
       "         -4.46926279e-05, -1.63610050e-04,  1.58638242e-04],\n",
       "        [ 1.46971724e-04, -1.26275016e-04,  1.96559471e-04, ...,\n",
       "          9.02290922e-05, -4.88360412e-04,  7.18535230e-05],\n",
       "        [ 3.21593077e-04,  9.09152077e-05,  1.00833997e-04, ...,\n",
       "          5.39384608e-04, -4.06308798e-04,  8.89458752e-05],\n",
       "        ...,\n",
       "        [ 1.18832861e-03,  1.37410383e-03,  1.54892704e-03, ...,\n",
       "          1.07989600e-03, -1.11754041e-03,  3.78760131e-04],\n",
       "        [ 8.55947903e-04,  1.36234402e-03,  1.88953313e-03, ...,\n",
       "          6.78199518e-04, -1.56717154e-03,  4.38349409e-04],\n",
       "        [ 5.10015816e-04,  1.33951474e-03,  2.18063430e-03, ...,\n",
       "          2.43649964e-04, -1.99267780e-03,  5.11077116e-04]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[-1.08557040e-04, -3.20876541e-04,  2.04402295e-05, ...,\n",
       "         -4.46926279e-05, -1.63610050e-04,  1.58638242e-04],\n",
       "        [-7.17542353e-05, -4.37508716e-04,  2.38604058e-04, ...,\n",
       "          1.64828089e-04, -4.31056105e-04,  4.03547048e-04],\n",
       "        [-2.05207325e-04, -2.75218219e-04,  6.28692724e-05, ...,\n",
       "          1.53569999e-04, -4.44370788e-04,  1.55223504e-04],\n",
       "        ...,\n",
       "        [-8.00435315e-04,  8.19220033e-04,  2.15341290e-03, ...,\n",
       "         -1.89693194e-04, -3.09487781e-03,  6.95183291e-04],\n",
       "        [-9.59748169e-04,  9.47958732e-04,  2.34929915e-03, ...,\n",
       "         -5.77520754e-04, -3.34303477e-03,  7.97167828e-04],\n",
       "        [-1.10533566e-03,  1.08668813e-03,  2.51765922e-03, ...,\n",
       "         -9.34474694e-04, -3.55246500e-03,  9.08563670e-04]],\n",
       "\n",
       "       [[-1.08557040e-04, -3.20876541e-04,  2.04402295e-05, ...,\n",
       "         -4.46926279e-05, -1.63610050e-04,  1.58638242e-04],\n",
       "        [ 4.89980494e-06, -4.23597405e-04,  2.12236017e-04, ...,\n",
       "         -3.38762446e-04, -4.71596926e-04,  5.86061913e-04],\n",
       "        [ 7.30208849e-05, -5.44043374e-04, -1.78799295e-04, ...,\n",
       "         -5.87039161e-04, -5.25022857e-04,  7.76202185e-04],\n",
       "        ...,\n",
       "        [-8.82650900e-04,  9.83377919e-04,  2.19104020e-03, ...,\n",
       "         -1.03933818e-03, -1.70868111e-03, -8.85324960e-04],\n",
       "        [-1.06357667e-03,  1.02716265e-03,  2.42773257e-03, ...,\n",
       "         -1.19975489e-03, -2.22818716e-03, -6.70489797e-04],\n",
       "        [-1.22982671e-03,  1.06919056e-03,  2.62927148e-03, ...,\n",
       "         -1.37551187e-03, -2.67690071e-03, -4.40681819e-04]],\n",
       "\n",
       "       [[-1.08557040e-04, -3.20876541e-04,  2.04402295e-05, ...,\n",
       "         -4.46926279e-05, -1.63610050e-04,  1.58638242e-04],\n",
       "        [-1.20213976e-04, -3.38498008e-04,  4.93752479e-04, ...,\n",
       "         -2.90452677e-04, -7.49236060e-05,  9.09396185e-05],\n",
       "        [-2.54016835e-04, -6.59182493e-04,  8.71200056e-04, ...,\n",
       "         -7.48650928e-05, -3.81412916e-04,  4.24922648e-04],\n",
       "        ...,\n",
       "        [-4.84217249e-04,  5.73844009e-04,  2.37551960e-03, ...,\n",
       "          5.14565210e-04, -2.54903990e-03,  4.29191481e-04],\n",
       "        [-6.39457256e-04,  7.42060889e-04,  2.51479191e-03, ...,\n",
       "          1.05137115e-04, -2.85746390e-03,  5.33893646e-04],\n",
       "        [-7.95434287e-04,  9.12643038e-04,  2.63104332e-03, ...,\n",
       "         -2.88855575e-04, -3.12703243e-03,  6.59730285e-04]]],\n",
       "      dtype=float32)>"
      ]
     },
     "execution_count": 336,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for src_sample, tgt_sample in dataset.take(1): break\n",
    "model(src_sample)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"text_generator_17\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_17 (Embedding)     multiple                  6144512   \n",
      "_________________________________________________________________\n",
      "lstm_34 (LSTM)               multiple                  20979712  \n",
      "_________________________________________________________________\n",
      "lstm_35 (LSTM)               multiple                  33562624  \n",
      "_________________________________________________________________\n",
      "dense_17 (Dense)             multiple                  24590049  \n",
      "=================================================================\n",
      "Total params: 85,276,897\n",
      "Trainable params: 85,276,897\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "295/295 [==============================] - 125s 424ms/step - loss: 2.5626 - val_loss: 1.9066\n",
      "Epoch 2/10\n",
      "295/295 [==============================] - 121s 410ms/step - loss: 1.5591 - val_loss: 1.2633\n",
      "Epoch 3/10\n",
      "295/295 [==============================] - 121s 411ms/step - loss: 1.0778 - val_loss: 0.9279\n",
      "Epoch 4/10\n",
      "295/295 [==============================] - 121s 410ms/step - loss: 0.8215 - val_loss: 0.7446\n",
      "Epoch 5/10\n",
      "295/295 [==============================] - 121s 411ms/step - loss: 0.6937 - val_loss: 0.6647\n",
      "Epoch 6/10\n",
      "295/295 [==============================] - 122s 412ms/step - loss: 0.6454 - val_loss: 0.6378\n",
      "Epoch 7/10\n",
      "295/295 [==============================] - 122s 412ms/step - loss: 0.6284 - val_loss: 0.6254\n",
      "Epoch 8/10\n",
      "295/295 [==============================] - 121s 411ms/step - loss: 0.6204 - val_loss: 0.6184\n",
      "Epoch 9/10\n",
      "295/295 [==============================] - 121s 411ms/step - loss: 0.6162 - val_loss: 0.6148\n",
      "Epoch 10/10\n",
      "295/295 [==============================] - 134s 455ms/step - loss: 0.6132 - val_loss: 0.6123\n"
     ]
    }
   ],
   "source": [
    "optimizer = tf.keras.optimizers.Adam()\n",
    "\n",
    "loss = tf.keras.losses.SparseCategoricalCrossentropy(\n",
    "    from_logits=True,\n",
    "    reduction='none'\n",
    ")\n",
    "\n",
    "model.compile(loss=loss, optimizer=optimizer)\n",
    "history  = model.fit(dataset,validation_data = (enc_val,dec_val), epochs=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<start> 아이패드 프로 4세대 11인치 128g 스그 <end> '"
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "generate_text(model, tokenizer, init_sentence=\"<start> 아이패드\", max_len=20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<start> 화웨이 미디어패드 m5 8.4인치 게이밍 태블릿 s급 풀박 <end> '"
      ]
     },
     "execution_count": 347,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "generate_text(model, tokenizer, init_sentence=\"<start> 화웨이\", max_len= 20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<start> 아이패드 에어 3세대 (64기가 + 셀룰러) + 정품 스마트 키보드 + 애플펜슬1세대 판매합니다 <end> '"
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "generate_text(model, tokenizer, init_sentence=\"<start> 아이패드 에어\", max_len=20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<start> 삼성 갤럭시 탭 s7+ 5g 12.4인치 256g <end> '"
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "generate_text(model, tokenizer, init_sentence=\"<start> 삼성\", max_len=20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<start> ipad pro 12.9 32g 1세대실버+펜1세대 45만 팔아요 <end> '"
      ]
     },
     "execution_count": 345,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "generate_text(model, tokenizer, init_sentence=\"<start> ipad\", max_len=20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<start> 갤럭시 탭 s7+ 블랙 256gb lte모델 팝니다 <end> '"
      ]
     },
     "execution_count": 346,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "generate_text(model, tokenizer, init_sentence=\"<start> 갤럭시\", max_len=20)\n"
   ]
  }
 ],
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