preprocess.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Overview Embedding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from sentence_transformers import SentenceTransformer\n",
    "# import pandas as pd\n",
    "\n",
    "# # 데이터 준비\n",
    "# # 예시 데이터프레임 생성. 실제 데이터에는 이 부분을 데이터 로딩 코드로 대체하세요.\n",
    "# data = {\n",
    "#     'overview': [\n",
    "#         \"First movie's overview.\",\n",
    "#         \"Second movie's overview.\",\n",
    "#         \"Third movie's overview.\"\n",
    "#     ]\n",
    "# }\n",
    "# df = pd.DataFrame(data)\n",
    "\n",
    "# # 모델 로딩\n",
    "# model = SentenceTransformer('all-MiniLM-L6-v2')\n",
    "\n",
    "# # 영화 개요를 임베딩 벡터로 변환\n",
    "# embeddings = model.encode(df['overview'].tolist())\n",
    "\n",
    "# # 임베딩 결과 확인\n",
    "# print(embeddings)\n",
    "\n",
    "# # 임베딩 벡터를 데이터프레임에 추가 (예시)\n",
    "# df['embeddings'] = list(embeddings)\n",
    "# print(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>startYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "      <th>directors</th>\n",
       "      <th>ordering</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt31015344</td>\n",
       "      <td>A Traveler's Needs</td>\n",
       "      <td>Yeohaengjaui Pilyo</td>\n",
       "      <td>2024</td>\n",
       "      <td>90</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6.5</td>\n",
       "      <td>75</td>\n",
       "      <td>nm0393254</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016458</td>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.050298</td>\n",
       "      <td>0.037739</td>\n",
       "      <td>-0.076090</td>\n",
       "      <td>-0.010432</td>\n",
       "      <td>-0.058701</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>0.035267</td>\n",
       "      <td>-0.023228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt30911335</td>\n",
       "      <td>Dog Days</td>\n",
       "      <td>Dogeudeijeu</td>\n",
       "      <td>2024</td>\n",
       "      <td>120</td>\n",
       "      <td>Drama</td>\n",
       "      <td>7.8</td>\n",
       "      <td>31</td>\n",
       "      <td>nm15730187</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034701</td>\n",
       "      <td>-0.008065</td>\n",
       "      <td>-0.024117</td>\n",
       "      <td>-0.003312</td>\n",
       "      <td>0.038821</td>\n",
       "      <td>-0.030186</td>\n",
       "      <td>0.019926</td>\n",
       "      <td>0.074339</td>\n",
       "      <td>-0.018989</td>\n",
       "      <td>0.055851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt9682428</td>\n",
       "      <td>Night Swim</td>\n",
       "      <td>Night Swim</td>\n",
       "      <td>2024</td>\n",
       "      <td>98</td>\n",
       "      <td>Horror,Thriller</td>\n",
       "      <td>4.7</td>\n",
       "      <td>12654</td>\n",
       "      <td>nm3241399</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>-0.049932</td>\n",
       "      <td>-0.121888</td>\n",
       "      <td>-0.054388</td>\n",
       "      <td>-0.020564</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>0.021484</td>\n",
       "      <td>0.052849</td>\n",
       "      <td>0.035944</td>\n",
       "      <td>0.025606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt27802490</td>\n",
       "      <td>Exhuma</td>\n",
       "      <td>Pamyo</td>\n",
       "      <td>2024</td>\n",
       "      <td>134</td>\n",
       "      <td>Horror,Mystery,Thriller</td>\n",
       "      <td>7.4</td>\n",
       "      <td>495</td>\n",
       "      <td>nm6940206</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051392</td>\n",
       "      <td>-0.002096</td>\n",
       "      <td>0.044035</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.044593</td>\n",
       "      <td>-0.032423</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.020807</td>\n",
       "      <td>0.021268</td>\n",
       "      <td>0.008938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt27811040</td>\n",
       "      <td>The Roundup: Punishment</td>\n",
       "      <td>Beomjoedosi4</td>\n",
       "      <td>2024</td>\n",
       "      <td>109</td>\n",
       "      <td>Action,Crime,Thriller</td>\n",
       "      <td>8.8</td>\n",
       "      <td>101</td>\n",
       "      <td>nm2441168</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041042</td>\n",
       "      <td>-0.039577</td>\n",
       "      <td>0.034051</td>\n",
       "      <td>0.041895</td>\n",
       "      <td>-0.132000</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.089292</td>\n",
       "      <td>-0.132800</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.006363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9600</th>\n",
       "      <td>tt0017409</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>1926</td>\n",
       "      <td>60</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>7.1</td>\n",
       "      <td>746</td>\n",
       "      <td>nm0523932</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9601</th>\n",
       "      <td>tt0015064</td>\n",
       "      <td>The Last Laugh</td>\n",
       "      <td>Der letzte Mann</td>\n",
       "      <td>1924</td>\n",
       "      <td>88</td>\n",
       "      <td>Drama</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15105</td>\n",
       "      <td>nm0003638</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029271</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
       "      <td>-0.038684</td>\n",
       "      <td>-0.013877</td>\n",
       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9602</th>\n",
       "      <td>tt0014624</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>1923</td>\n",
       "      <td>82</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6104</td>\n",
       "      <td>nm0000122</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018064</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9603</th>\n",
       "      <td>tt0012806</td>\n",
       "      <td>Four Around the Woman</td>\n",
       "      <td>Vier um die Frau</td>\n",
       "      <td>1921</td>\n",
       "      <td>52</td>\n",
       "      <td>Drama</td>\n",
       "      <td>5.9</td>\n",
       "      <td>581</td>\n",
       "      <td>nm0000485</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047176</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9604</th>\n",
       "      <td>tt0011841</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>1920</td>\n",
       "      <td>145</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5863</td>\n",
       "      <td>nm0000428</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026308</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9605 rows × 396 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          tconst                       primaryTitle  \\\n",
       "0     tt31015344                 A Traveler's Needs   \n",
       "1     tt30911335                           Dog Days   \n",
       "2      tt9682428                         Night Swim   \n",
       "3     tt27802490                             Exhuma   \n",
       "4     tt27811040            The Roundup: Punishment   \n",
       "...          ...                                ...   \n",
       "9600   tt0017409                   So This Is Paris   \n",
       "9601   tt0015064                     The Last Laugh   \n",
       "9602   tt0014624  A Woman of Paris: A Drama of Fate   \n",
       "9603   tt0012806              Four Around the Woman   \n",
       "9604   tt0011841                      Way Down East   \n",
       "\n",
       "                          originalTitle  startYear  runtimeMinutes  \\\n",
       "0                    Yeohaengjaui Pilyo       2024              90   \n",
       "1                           Dogeudeijeu       2024             120   \n",
       "2                            Night Swim       2024              98   \n",
       "3                                 Pamyo       2024             134   \n",
       "4                          Beomjoedosi4       2024             109   \n",
       "...                                 ...        ...             ...   \n",
       "9600                   So This Is Paris       1926              60   \n",
       "9601                    Der letzte Mann       1924              88   \n",
       "9602  A Woman of Paris: A Drama of Fate       1923              82   \n",
       "9603                   Vier um die Frau       1921              52   \n",
       "9604                      Way Down East       1920             145   \n",
       "\n",
       "                       genres  averageRating  numVotes   directors  ordering  \\\n",
       "0                       Drama            6.5        75   nm0393254         1   \n",
       "1                       Drama            7.8        31  nm15730187         1   \n",
       "2             Horror,Thriller            4.7     12654   nm3241399         1   \n",
       "3     Horror,Mystery,Thriller            7.4       495   nm6940206         1   \n",
       "4       Action,Crime,Thriller            8.8       101   nm2441168        10   \n",
       "...                       ...            ...       ...         ...       ...   \n",
       "9600                   Comedy            7.1       746   nm0523932         1   \n",
       "9601                    Drama            8.0     15105   nm0003638         1   \n",
       "9602            Drama,Romance            6.9      6104   nm0000122        10   \n",
       "9603                    Drama            5.9       581   nm0000485         1   \n",
       "9604            Drama,Romance            7.3      5863   nm0000428         1   \n",
       "\n",
       "      ... embedding_374 embedding_375  embedding_376  embedding_377  \\\n",
       "0     ...      0.016458     -0.023006      -0.050298       0.037739   \n",
       "1     ...     -0.034701     -0.008065      -0.024117      -0.003312   \n",
       "2     ...      0.003738     -0.049932      -0.121888      -0.054388   \n",
       "3     ...      0.051392     -0.002096       0.044035       0.059909   \n",
       "4     ...      0.041042     -0.039577       0.034051       0.041895   \n",
       "...   ...           ...           ...            ...            ...   \n",
       "9600  ...     -0.052198     -0.056215      -0.065513       0.068392   \n",
       "9601  ...      0.029271     -0.052846       0.032112       0.051352   \n",
       "9602  ...      0.018064     -0.050176      -0.045593       0.036943   \n",
       "9603  ...     -0.047176     -0.100745       0.056739       0.063528   \n",
       "9604  ...      0.026308     -0.031079       0.015309       0.108602   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "0         -0.076090      -0.010432      -0.058701       0.017649   \n",
       "1          0.038821      -0.030186       0.019926       0.074339   \n",
       "2         -0.020564       0.050116       0.021484       0.052849   \n",
       "3         -0.044593      -0.032423       0.081002       0.020807   \n",
       "4         -0.132000      -0.051895       0.089292      -0.132800   \n",
       "...             ...            ...            ...            ...   \n",
       "9600       0.040504      -0.013506      -0.068042       0.001189   \n",
       "9601      -0.038684      -0.013877       0.074433      -0.020061   \n",
       "9602      -0.046362      -0.033189      -0.061279      -0.036766   \n",
       "9603      -0.031887      -0.028223      -0.002628      -0.041470   \n",
       "9604      -0.053923       0.095502       0.000965      -0.005393   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "0          0.035267      -0.023228  \n",
       "1         -0.018989       0.055851  \n",
       "2          0.035944       0.025606  \n",
       "3          0.021268       0.008938  \n",
       "4         -0.011520      -0.006363  \n",
       "...             ...            ...  \n",
       "9600      -0.021429      -0.103460  \n",
       "9601      -0.008468       0.026134  \n",
       "9602       0.073398      -0.105024  \n",
       "9603       0.026425       0.023838  \n",
       "9604      -0.005323      -0.025500  \n",
       "\n",
       "[9605 rows x 396 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "final_metadata_with_overview = pd.read_excel('final_metadata_with_overview_embeddings_ver3.xlsx')\n",
    "final_metadata_with_overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>startYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "      <th>directors</th>\n",
       "      <th>ordering</th>\n",
       "      <th>actors</th>\n",
       "      <th>overview</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt31015344</td>\n",
       "      <td>A Traveler's Needs</td>\n",
       "      <td>Yeohaengjaui Pilyo</td>\n",
       "      <td>2024</td>\n",
       "      <td>90</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6.5</td>\n",
       "      <td>75</td>\n",
       "      <td>nm0393254</td>\n",
       "      <td>1</td>\n",
       "      <td>nm9066896,nm1040587,nm0001376,nm3030759,nm1131...</td>\n",
       "      <td>A French woman, who initially played a child's...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt30911335</td>\n",
       "      <td>Dog Days</td>\n",
       "      <td>Dogeudeijeu</td>\n",
       "      <td>2024</td>\n",
       "      <td>120</td>\n",
       "      <td>Drama</td>\n",
       "      <td>7.8</td>\n",
       "      <td>31</td>\n",
       "      <td>nm15730187</td>\n",
       "      <td>1</td>\n",
       "      <td>nm1041999,nm8830500,nm9657240,nm3934118,nm0453...</td>\n",
       "      <td>The story of people connected through dogs at ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt9682428</td>\n",
       "      <td>Night Swim</td>\n",
       "      <td>Night Swim</td>\n",
       "      <td>2024</td>\n",
       "      <td>98</td>\n",
       "      <td>Horror,Thriller</td>\n",
       "      <td>4.7</td>\n",
       "      <td>12654</td>\n",
       "      <td>nm3241399</td>\n",
       "      <td>1</td>\n",
       "      <td>nm0751518,nm0174403,nm10550834,nm8583232</td>\n",
       "      <td>Forced into early retirement by a degenerative...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt12432558</td>\n",
       "      <td>A Wall Away</td>\n",
       "      <td>My Corona</td>\n",
       "      <td>2024</td>\n",
       "      <td>90</td>\n",
       "      <td>Comedy,Romance</td>\n",
       "      <td>5.1</td>\n",
       "      <td>64</td>\n",
       "      <td>nm1486721</td>\n",
       "      <td>1</td>\n",
       "      <td>nm11634084,nm7831367,nm0141212,nm1209806</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt27802490</td>\n",
       "      <td>Exhuma</td>\n",
       "      <td>Pamyo</td>\n",
       "      <td>2024</td>\n",
       "      <td>134</td>\n",
       "      <td>Horror,Mystery,Thriller</td>\n",
       "      <td>7.4</td>\n",
       "      <td>495</td>\n",
       "      <td>nm6940206</td>\n",
       "      <td>1</td>\n",
       "      <td>nm0158856,nm9946376,nm5036289,nm1041999,nm7035...</td>\n",
       "      <td>After tracing the origin of a disturbing super...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10204</th>\n",
       "      <td>tt0017409</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>1926</td>\n",
       "      <td>60</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>7.1</td>\n",
       "      <td>746</td>\n",
       "      <td>nm0523932</td>\n",
       "      <td>1</td>\n",
       "      <td>nm0089524,nm0589105,nm0850896,nm0073239</td>\n",
       "      <td>Paul and Suzanne Giraud are happily married an...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10205</th>\n",
       "      <td>tt0015064</td>\n",
       "      <td>The Last Laugh</td>\n",
       "      <td>Der letzte Mann</td>\n",
       "      <td>1924</td>\n",
       "      <td>88</td>\n",
       "      <td>Drama</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15105</td>\n",
       "      <td>nm0003638</td>\n",
       "      <td>1</td>\n",
       "      <td>nm0417837,nm0217848,nm0384897,nm0476130</td>\n",
       "      <td>An aging doorman, after being fired from his p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10206</th>\n",
       "      <td>tt0014624</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>1923</td>\n",
       "      <td>82</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6104</td>\n",
       "      <td>nm0000122</td>\n",
       "      <td>10</td>\n",
       "      <td>nm0048798,nm0701012,nm0312238,nm0588033,nm0461...</td>\n",
       "      <td>When Marie St. Clair believes she has been jil...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10207</th>\n",
       "      <td>tt0012806</td>\n",
       "      <td>Four Around the Woman</td>\n",
       "      <td>Vier um die Frau</td>\n",
       "      <td>1921</td>\n",
       "      <td>52</td>\n",
       "      <td>Drama</td>\n",
       "      <td>5.9</td>\n",
       "      <td>581</td>\n",
       "      <td>nm0000485</td>\n",
       "      <td>1</td>\n",
       "      <td>nm0091415,nm0865438,nm0517929,nm0366603</td>\n",
       "      <td>Harry Yquem buys his beloved wife some jewelry...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10208</th>\n",
       "      <td>tt0011841</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>1920</td>\n",
       "      <td>145</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5863</td>\n",
       "      <td>nm0000428</td>\n",
       "      <td>1</td>\n",
       "      <td>nm0001273,nm0001932,nm0484472,nm0792514</td>\n",
       "      <td>A naive country girl is tricked into a sham ma...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10209 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           tconst                       primaryTitle  \\\n",
       "0      tt31015344                 A Traveler's Needs   \n",
       "1      tt30911335                           Dog Days   \n",
       "2       tt9682428                         Night Swim   \n",
       "3      tt12432558                        A Wall Away   \n",
       "4      tt27802490                             Exhuma   \n",
       "...           ...                                ...   \n",
       "10204   tt0017409                   So This Is Paris   \n",
       "10205   tt0015064                     The Last Laugh   \n",
       "10206   tt0014624  A Woman of Paris: A Drama of Fate   \n",
       "10207   tt0012806              Four Around the Woman   \n",
       "10208   tt0011841                      Way Down East   \n",
       "\n",
       "                           originalTitle  startYear  runtimeMinutes  \\\n",
       "0                     Yeohaengjaui Pilyo       2024              90   \n",
       "1                            Dogeudeijeu       2024             120   \n",
       "2                             Night Swim       2024              98   \n",
       "3                              My Corona       2024              90   \n",
       "4                                  Pamyo       2024             134   \n",
       "...                                  ...        ...             ...   \n",
       "10204                   So This Is Paris       1926              60   \n",
       "10205                    Der letzte Mann       1924              88   \n",
       "10206  A Woman of Paris: A Drama of Fate       1923              82   \n",
       "10207                   Vier um die Frau       1921              52   \n",
       "10208                      Way Down East       1920             145   \n",
       "\n",
       "                        genres  averageRating  numVotes   directors  ordering  \\\n",
       "0                        Drama            6.5        75   nm0393254         1   \n",
       "1                        Drama            7.8        31  nm15730187         1   \n",
       "2              Horror,Thriller            4.7     12654   nm3241399         1   \n",
       "3               Comedy,Romance            5.1        64   nm1486721         1   \n",
       "4      Horror,Mystery,Thriller            7.4       495   nm6940206         1   \n",
       "...                        ...            ...       ...         ...       ...   \n",
       "10204                   Comedy            7.1       746   nm0523932         1   \n",
       "10205                    Drama            8.0     15105   nm0003638         1   \n",
       "10206            Drama,Romance            6.9      6104   nm0000122        10   \n",
       "10207                    Drama            5.9       581   nm0000485         1   \n",
       "10208            Drama,Romance            7.3      5863   nm0000428         1   \n",
       "\n",
       "                                                  actors  \\\n",
       "0      nm9066896,nm1040587,nm0001376,nm3030759,nm1131...   \n",
       "1      nm1041999,nm8830500,nm9657240,nm3934118,nm0453...   \n",
       "2               nm0751518,nm0174403,nm10550834,nm8583232   \n",
       "3               nm11634084,nm7831367,nm0141212,nm1209806   \n",
       "4      nm0158856,nm9946376,nm5036289,nm1041999,nm7035...   \n",
       "...                                                  ...   \n",
       "10204            nm0089524,nm0589105,nm0850896,nm0073239   \n",
       "10205            nm0417837,nm0217848,nm0384897,nm0476130   \n",
       "10206  nm0048798,nm0701012,nm0312238,nm0588033,nm0461...   \n",
       "10207            nm0091415,nm0865438,nm0517929,nm0366603   \n",
       "10208            nm0001273,nm0001932,nm0484472,nm0792514   \n",
       "\n",
       "                                                overview  \n",
       "0      A French woman, who initially played a child's...  \n",
       "1      The story of people connected through dogs at ...  \n",
       "2      Forced into early retirement by a degenerative...  \n",
       "3                                                    NaN  \n",
       "4      After tracing the origin of a disturbing super...  \n",
       "...                                                  ...  \n",
       "10204  Paul and Suzanne Giraud are happily married an...  \n",
       "10205  An aging doorman, after being fired from his p...  \n",
       "10206  When Marie St. Clair believes she has been jil...  \n",
       "10207  Harry Yquem buys his beloved wife some jewelry...  \n",
       "10208  A naive country girl is tricked into a sham ma...  \n",
       "\n",
       "[10209 rows x 12 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "final_metadata_ver3 = pd.read_excel('final_metadata_ver3.xlsx')\n",
    "final_metadata_ver3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 장르 재설정"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(['Action',\n",
       "  'Adult',\n",
       "  'Adventure',\n",
       "  'Animation',\n",
       "  'Biography',\n",
       "  'Comedy',\n",
       "  'Crime',\n",
       "  'Documentary',\n",
       "  'Drama',\n",
       "  'Family',\n",
       "  'Fantasy',\n",
       "  'Film-Noir',\n",
       "  'History',\n",
       "  'Horror',\n",
       "  'Music',\n",
       "  'Musical',\n",
       "  'Mystery',\n",
       "  'News',\n",
       "  'Romance',\n",
       "  'Sci-Fi',\n",
       "  'Sport',\n",
       "  'Thriller',\n",
       "  'War',\n",
       "  'Western',\n",
       "  '\\\\N'],\n",
       " 25)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_genres_combinations = final_metadata_ver3['genres'].unique()\n",
    "\n",
    "unique_genres = set() # 고유한 장르를 저장할 집합\n",
    "\n",
    "for combination in unique_genres_combinations:\n",
    "    genres = combination.split(',') # 장르 조합을 분리\n",
    "    unique_genres.update(genres) # 집합에 추가하여 고유한 장르만을 보존\n",
    "\n",
    "sorted(unique_genres), unique_genres.__len__()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>tconst</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>startYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "      <th>directors</th>\n",
       "      <th>ordering</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>tt19719222</td>\n",
       "      <td>Seokkarae</td>\n",
       "      <td>Seokkarae</td>\n",
       "      <td>2022</td>\n",
       "      <td>87</td>\n",
       "      <td>\\N</td>\n",
       "      <td>8.2</td>\n",
       "      <td>6</td>\n",
       "      <td>nm3169365</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.026449</td>\n",
       "      <td>-0.050017</td>\n",
       "      <td>0.000535</td>\n",
       "      <td>0.014449</td>\n",
       "      <td>-0.031801</td>\n",
       "      <td>-0.012975</td>\n",
       "      <td>0.100203</td>\n",
       "      <td>-0.012541</td>\n",
       "      <td>-0.002376</td>\n",
       "      <td>0.004239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1162</th>\n",
       "      <td>tt21907524</td>\n",
       "      <td>Turandot</td>\n",
       "      <td>Turandot</td>\n",
       "      <td>2022</td>\n",
       "      <td>116</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.6</td>\n",
       "      <td>14</td>\n",
       "      <td>nm5445317</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.056738</td>\n",
       "      <td>-0.092665</td>\n",
       "      <td>0.013467</td>\n",
       "      <td>0.109982</td>\n",
       "      <td>-0.076053</td>\n",
       "      <td>0.034486</td>\n",
       "      <td>0.069812</td>\n",
       "      <td>-0.076174</td>\n",
       "      <td>0.027763</td>\n",
       "      <td>0.005146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1470</th>\n",
       "      <td>tt21148112</td>\n",
       "      <td>Wayfinder</td>\n",
       "      <td>Wayfinder</td>\n",
       "      <td>2022</td>\n",
       "      <td>0</td>\n",
       "      <td>\\N</td>\n",
       "      <td>4.3</td>\n",
       "      <td>29</td>\n",
       "      <td>nm10348104</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.027934</td>\n",
       "      <td>-0.035336</td>\n",
       "      <td>-0.012009</td>\n",
       "      <td>0.032426</td>\n",
       "      <td>-0.005362</td>\n",
       "      <td>0.031464</td>\n",
       "      <td>0.001737</td>\n",
       "      <td>0.014449</td>\n",
       "      <td>-0.097272</td>\n",
       "      <td>0.021504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1494</th>\n",
       "      <td>tt20038778</td>\n",
       "      <td>When Spring Comes</td>\n",
       "      <td>When Spring Comes</td>\n",
       "      <td>2022</td>\n",
       "      <td>102</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6</td>\n",
       "      <td>nm5293610</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.050212</td>\n",
       "      <td>-0.053018</td>\n",
       "      <td>-0.014997</td>\n",
       "      <td>0.105847</td>\n",
       "      <td>0.043040</td>\n",
       "      <td>-0.015256</td>\n",
       "      <td>0.059968</td>\n",
       "      <td>-0.054610</td>\n",
       "      <td>0.041452</td>\n",
       "      <td>-0.008326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2869</th>\n",
       "      <td>tt18479912</td>\n",
       "      <td>Sister's Neighbor</td>\n",
       "      <td>Sister's Neighbor</td>\n",
       "      <td>2020</td>\n",
       "      <td>76</td>\n",
       "      <td>\\N</td>\n",
       "      <td>8.5</td>\n",
       "      <td>6</td>\n",
       "      <td>nm13460105</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.006401</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>-0.050487</td>\n",
       "      <td>0.110455</td>\n",
       "      <td>0.031364</td>\n",
       "      <td>0.049460</td>\n",
       "      <td>0.010531</td>\n",
       "      <td>-0.006338</td>\n",
       "      <td>-0.072105</td>\n",
       "      <td>-0.024172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2871</th>\n",
       "      <td>tt18480484</td>\n",
       "      <td>Bosomy Tae-hee</td>\n",
       "      <td>Bosomy Tae-hee</td>\n",
       "      <td>2020</td>\n",
       "      <td>79</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.3</td>\n",
       "      <td>12</td>\n",
       "      <td>nm13449811</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011192</td>\n",
       "      <td>-0.038201</td>\n",
       "      <td>-0.006923</td>\n",
       "      <td>0.014123</td>\n",
       "      <td>-0.033094</td>\n",
       "      <td>-0.027109</td>\n",
       "      <td>0.046833</td>\n",
       "      <td>-0.000089</td>\n",
       "      <td>0.001792</td>\n",
       "      <td>-0.018132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3610</th>\n",
       "      <td>tt10478870</td>\n",
       "      <td>Notebook from My Mother</td>\n",
       "      <td>Eommaeui gongchaek</td>\n",
       "      <td>2018</td>\n",
       "      <td>103</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.1</td>\n",
       "      <td>8</td>\n",
       "      <td>nm1193005</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.005445</td>\n",
       "      <td>-0.061745</td>\n",
       "      <td>-0.038882</td>\n",
       "      <td>-0.024662</td>\n",
       "      <td>-0.100428</td>\n",
       "      <td>0.000943</td>\n",
       "      <td>0.069742</td>\n",
       "      <td>0.084996</td>\n",
       "      <td>0.055150</td>\n",
       "      <td>0.021253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3635</th>\n",
       "      <td>tt9316658</td>\n",
       "      <td>Winter's Night</td>\n",
       "      <td>Gyeo-wul-ba-me</td>\n",
       "      <td>2018</td>\n",
       "      <td>98</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.9</td>\n",
       "      <td>178</td>\n",
       "      <td>nm6672273</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052669</td>\n",
       "      <td>-0.121986</td>\n",
       "      <td>0.020409</td>\n",
       "      <td>0.059213</td>\n",
       "      <td>-0.043871</td>\n",
       "      <td>0.009736</td>\n",
       "      <td>0.064058</td>\n",
       "      <td>-0.028492</td>\n",
       "      <td>-0.048421</td>\n",
       "      <td>0.019930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4031</th>\n",
       "      <td>tt10515612</td>\n",
       "      <td>Oh! My God Returns</td>\n",
       "      <td>Guseju: Liteonjeu</td>\n",
       "      <td>2017</td>\n",
       "      <td>98</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.8</td>\n",
       "      <td>7</td>\n",
       "      <td>nm8717931</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.035435</td>\n",
       "      <td>-0.037214</td>\n",
       "      <td>0.046466</td>\n",
       "      <td>0.034180</td>\n",
       "      <td>0.049533</td>\n",
       "      <td>0.040634</td>\n",
       "      <td>0.061996</td>\n",
       "      <td>-0.062668</td>\n",
       "      <td>0.002766</td>\n",
       "      <td>0.041996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4048</th>\n",
       "      <td>tt9030796</td>\n",
       "      <td>Possible Faces</td>\n",
       "      <td>Eol-gul-deul</td>\n",
       "      <td>2017</td>\n",
       "      <td>132</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.2</td>\n",
       "      <td>11</td>\n",
       "      <td>nm6544270</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.031387</td>\n",
       "      <td>-0.073164</td>\n",
       "      <td>-0.052081</td>\n",
       "      <td>0.019737</td>\n",
       "      <td>-0.034283</td>\n",
       "      <td>-0.016179</td>\n",
       "      <td>0.059491</td>\n",
       "      <td>0.000716</td>\n",
       "      <td>-0.072017</td>\n",
       "      <td>-0.005195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4163</th>\n",
       "      <td>tt6449738</td>\n",
       "      <td>Beaten Black and Blue</td>\n",
       "      <td>Woori sonja beseuteu</td>\n",
       "      <td>2016</td>\n",
       "      <td>130</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7</td>\n",
       "      <td>nm0453676</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.005315</td>\n",
       "      <td>-0.133274</td>\n",
       "      <td>-0.063454</td>\n",
       "      <td>0.069791</td>\n",
       "      <td>-0.017769</td>\n",
       "      <td>0.041707</td>\n",
       "      <td>0.091576</td>\n",
       "      <td>-0.028901</td>\n",
       "      <td>-0.052277</td>\n",
       "      <td>-0.022337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4164</th>\n",
       "      <td>tt6449626</td>\n",
       "      <td>The Great Actor</td>\n",
       "      <td>Daebaewoo</td>\n",
       "      <td>2016</td>\n",
       "      <td>108</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.3</td>\n",
       "      <td>30</td>\n",
       "      <td>nm1962220</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.061613</td>\n",
       "      <td>0.058943</td>\n",
       "      <td>-0.063359</td>\n",
       "      <td>0.028699</td>\n",
       "      <td>-0.001778</td>\n",
       "      <td>0.029905</td>\n",
       "      <td>-0.007162</td>\n",
       "      <td>-0.072981</td>\n",
       "      <td>-0.083444</td>\n",
       "      <td>0.010561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4168</th>\n",
       "      <td>tt6448366</td>\n",
       "      <td>Trick</td>\n",
       "      <td>Teurik</td>\n",
       "      <td>2016</td>\n",
       "      <td>94</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5</td>\n",
       "      <td>nm11198313</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.079561</td>\n",
       "      <td>-0.072028</td>\n",
       "      <td>0.022256</td>\n",
       "      <td>-0.015077</td>\n",
       "      <td>-0.047783</td>\n",
       "      <td>-0.027532</td>\n",
       "      <td>0.006757</td>\n",
       "      <td>-0.008336</td>\n",
       "      <td>-0.059780</td>\n",
       "      <td>0.028424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5534</th>\n",
       "      <td>tt1728197</td>\n",
       "      <td>Elbowroom</td>\n",
       "      <td>Soom</td>\n",
       "      <td>2010</td>\n",
       "      <td>0</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.7</td>\n",
       "      <td>31</td>\n",
       "      <td>nm4086797</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022832</td>\n",
       "      <td>0.024759</td>\n",
       "      <td>0.042070</td>\n",
       "      <td>-0.022748</td>\n",
       "      <td>-0.053882</td>\n",
       "      <td>0.030075</td>\n",
       "      <td>0.070421</td>\n",
       "      <td>0.027824</td>\n",
       "      <td>0.096462</td>\n",
       "      <td>-0.021446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5553</th>\n",
       "      <td>tt1733269</td>\n",
       "      <td>Passerby #3</td>\n",
       "      <td>Reinbou</td>\n",
       "      <td>2010</td>\n",
       "      <td>0</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.5</td>\n",
       "      <td>29</td>\n",
       "      <td>nm4100260</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.039767</td>\n",
       "      <td>-0.101534</td>\n",
       "      <td>-0.027974</td>\n",
       "      <td>-0.003845</td>\n",
       "      <td>-0.095177</td>\n",
       "      <td>0.072348</td>\n",
       "      <td>-0.011055</td>\n",
       "      <td>-0.050319</td>\n",
       "      <td>0.033456</td>\n",
       "      <td>0.010453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6961</th>\n",
       "      <td>tt0323272</td>\n",
       "      <td>Again</td>\n",
       "      <td>Miwodo dashi hanbeon</td>\n",
       "      <td>2002</td>\n",
       "      <td>102</td>\n",
       "      <td>\\N</td>\n",
       "      <td>3.5</td>\n",
       "      <td>20</td>\n",
       "      <td>nm1197961</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003747</td>\n",
       "      <td>0.009192</td>\n",
       "      <td>-0.045238</td>\n",
       "      <td>-0.001786</td>\n",
       "      <td>-0.023689</td>\n",
       "      <td>0.058638</td>\n",
       "      <td>0.015133</td>\n",
       "      <td>-0.032418</td>\n",
       "      <td>0.050442</td>\n",
       "      <td>0.027704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7055</th>\n",
       "      <td>tt0325832</td>\n",
       "      <td>Mission Barabba</td>\n",
       "      <td>Mission Barabba</td>\n",
       "      <td>2001</td>\n",
       "      <td>0</td>\n",
       "      <td>\\N</td>\n",
       "      <td>7.4</td>\n",
       "      <td>10</td>\n",
       "      <td>nm0756908</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.049882</td>\n",
       "      <td>0.046145</td>\n",
       "      <td>-0.002932</td>\n",
       "      <td>0.023678</td>\n",
       "      <td>0.034908</td>\n",
       "      <td>-0.030575</td>\n",
       "      <td>0.029495</td>\n",
       "      <td>-0.026948</td>\n",
       "      <td>-0.002996</td>\n",
       "      <td>-0.010404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7429</th>\n",
       "      <td>tt0328417</td>\n",
       "      <td>Paradise Lost</td>\n",
       "      <td>Shilrakwon</td>\n",
       "      <td>1998</td>\n",
       "      <td>100</td>\n",
       "      <td>\\N</td>\n",
       "      <td>4.6</td>\n",
       "      <td>20</td>\n",
       "      <td>nm0151751</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018979</td>\n",
       "      <td>-0.065966</td>\n",
       "      <td>-0.007038</td>\n",
       "      <td>0.056804</td>\n",
       "      <td>-0.082540</td>\n",
       "      <td>0.041246</td>\n",
       "      <td>-0.012659</td>\n",
       "      <td>-0.001630</td>\n",
       "      <td>0.062048</td>\n",
       "      <td>-0.051905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7437</th>\n",
       "      <td>tt0236383</td>\n",
       "      <td>Family Cinema</td>\n",
       "      <td>Kazoku shinema</td>\n",
       "      <td>1998</td>\n",
       "      <td>113</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.8</td>\n",
       "      <td>29</td>\n",
       "      <td>nm0661799</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.090451</td>\n",
       "      <td>-0.093304</td>\n",
       "      <td>0.052365</td>\n",
       "      <td>-0.043831</td>\n",
       "      <td>-0.023018</td>\n",
       "      <td>0.100176</td>\n",
       "      <td>0.063636</td>\n",
       "      <td>-0.083497</td>\n",
       "      <td>-0.003441</td>\n",
       "      <td>-0.083019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7489</th>\n",
       "      <td>tt0319571</td>\n",
       "      <td>Destiny</td>\n",
       "      <td>Inyeon</td>\n",
       "      <td>1997</td>\n",
       "      <td>102</td>\n",
       "      <td>\\N</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6</td>\n",
       "      <td>nm1065829</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.018270</td>\n",
       "      <td>-0.092195</td>\n",
       "      <td>-0.064262</td>\n",
       "      <td>0.048300</td>\n",
       "      <td>-0.046182</td>\n",
       "      <td>0.052421</td>\n",
       "      <td>0.078613</td>\n",
       "      <td>-0.040188</td>\n",
       "      <td>0.075424</td>\n",
       "      <td>0.002531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7610</th>\n",
       "      <td>tt0118211</td>\n",
       "      <td>Yuri</td>\n",
       "      <td>Yuri</td>\n",
       "      <td>1996</td>\n",
       "      <td>113</td>\n",
       "      <td>\\N</td>\n",
       "      <td>4.8</td>\n",
       "      <td>18</td>\n",
       "      <td>nm0946092</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.053976</td>\n",
       "      <td>-0.076563</td>\n",
       "      <td>0.002671</td>\n",
       "      <td>0.024096</td>\n",
       "      <td>-0.091815</td>\n",
       "      <td>0.014694</td>\n",
       "      <td>-0.009071</td>\n",
       "      <td>-0.031858</td>\n",
       "      <td>-0.055104</td>\n",
       "      <td>0.022436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7628</th>\n",
       "      <td>tt0298431</td>\n",
       "      <td>Man</td>\n",
       "      <td>Man</td>\n",
       "      <td>1995</td>\n",
       "      <td>86</td>\n",
       "      <td>\\N</td>\n",
       "      <td>3.0</td>\n",
       "      <td>25</td>\n",
       "      <td>nm0947507</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021603</td>\n",
       "      <td>-0.076402</td>\n",
       "      <td>0.038794</td>\n",
       "      <td>0.067813</td>\n",
       "      <td>-0.052063</td>\n",
       "      <td>-0.010937</td>\n",
       "      <td>0.042812</td>\n",
       "      <td>-0.040709</td>\n",
       "      <td>0.040268</td>\n",
       "      <td>-0.063200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7691</th>\n",
       "      <td>tt0327507</td>\n",
       "      <td>Love in the Rain</td>\n",
       "      <td>Bineun salangeul tago</td>\n",
       "      <td>1994</td>\n",
       "      <td>82</td>\n",
       "      <td>\\N</td>\n",
       "      <td>3.1</td>\n",
       "      <td>13</td>\n",
       "      <td>nm1216829</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.050659</td>\n",
       "      <td>-0.066504</td>\n",
       "      <td>0.002180</td>\n",
       "      <td>0.106683</td>\n",
       "      <td>0.003193</td>\n",
       "      <td>0.033331</td>\n",
       "      <td>0.103921</td>\n",
       "      <td>-0.043803</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.017837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7781</th>\n",
       "      <td>tt0151196</td>\n",
       "      <td>That Woman, That Man</td>\n",
       "      <td>Geu yeoja, geu namja</td>\n",
       "      <td>1993</td>\n",
       "      <td>109</td>\n",
       "      <td>\\N</td>\n",
       "      <td>4.9</td>\n",
       "      <td>13</td>\n",
       "      <td>nm0453720</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.030794</td>\n",
       "      <td>-0.031075</td>\n",
       "      <td>-0.083050</td>\n",
       "      <td>0.009098</td>\n",
       "      <td>0.014968</td>\n",
       "      <td>0.066683</td>\n",
       "      <td>-0.033595</td>\n",
       "      <td>0.008253</td>\n",
       "      <td>0.094214</td>\n",
       "      <td>0.039016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7907</th>\n",
       "      <td>tt0331164</td>\n",
       "      <td>For Agnes</td>\n",
       "      <td>Agneseul uihayeo</td>\n",
       "      <td>1991</td>\n",
       "      <td>0</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5</td>\n",
       "      <td>nm1218393</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.101036</td>\n",
       "      <td>-0.014112</td>\n",
       "      <td>0.094932</td>\n",
       "      <td>0.010387</td>\n",
       "      <td>-0.094804</td>\n",
       "      <td>0.037249</td>\n",
       "      <td>0.068873</td>\n",
       "      <td>0.030472</td>\n",
       "      <td>0.054669</td>\n",
       "      <td>0.000394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7943</th>\n",
       "      <td>tt0327969</td>\n",
       "      <td>You Know What? It's a Secret</td>\n",
       "      <td>Itjanhayo bimiliyeyo</td>\n",
       "      <td>1990</td>\n",
       "      <td>109</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.6</td>\n",
       "      <td>14</td>\n",
       "      <td>nm1216829</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002036</td>\n",
       "      <td>0.028309</td>\n",
       "      <td>-0.043197</td>\n",
       "      <td>-0.003218</td>\n",
       "      <td>-0.016909</td>\n",
       "      <td>-0.028817</td>\n",
       "      <td>0.108024</td>\n",
       "      <td>0.069655</td>\n",
       "      <td>-0.053890</td>\n",
       "      <td>0.026339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8071</th>\n",
       "      <td>tt0313458</td>\n",
       "      <td>Emma in Paris</td>\n",
       "      <td>Pari aema</td>\n",
       "      <td>1988</td>\n",
       "      <td>111</td>\n",
       "      <td>\\N</td>\n",
       "      <td>2.7</td>\n",
       "      <td>14</td>\n",
       "      <td>nm1107389</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.020552</td>\n",
       "      <td>-0.006294</td>\n",
       "      <td>-0.015279</td>\n",
       "      <td>0.061867</td>\n",
       "      <td>-0.047348</td>\n",
       "      <td>0.053748</td>\n",
       "      <td>-0.016014</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>0.068516</td>\n",
       "      <td>-0.029922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8112</th>\n",
       "      <td>tt0094359</td>\n",
       "      <td>Diary of King Yonsan</td>\n",
       "      <td>Yeonsan ilgi</td>\n",
       "      <td>1988</td>\n",
       "      <td>118</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.1</td>\n",
       "      <td>22</td>\n",
       "      <td>nm0407990</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.055017</td>\n",
       "      <td>-0.018386</td>\n",
       "      <td>0.030674</td>\n",
       "      <td>0.053418</td>\n",
       "      <td>-0.101329</td>\n",
       "      <td>0.060080</td>\n",
       "      <td>0.096061</td>\n",
       "      <td>0.035731</td>\n",
       "      <td>0.020560</td>\n",
       "      <td>0.021758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8133</th>\n",
       "      <td>tt0320776</td>\n",
       "      <td>Y Story</td>\n",
       "      <td>Y Story</td>\n",
       "      <td>1987</td>\n",
       "      <td>111</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1.8</td>\n",
       "      <td>7</td>\n",
       "      <td>nm0496970</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.083765</td>\n",
       "      <td>-0.028795</td>\n",
       "      <td>-0.029788</td>\n",
       "      <td>0.063724</td>\n",
       "      <td>-0.044629</td>\n",
       "      <td>0.066153</td>\n",
       "      <td>0.063360</td>\n",
       "      <td>0.069542</td>\n",
       "      <td>0.071933</td>\n",
       "      <td>-0.118431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8211</th>\n",
       "      <td>tt0319734</td>\n",
       "      <td>Lee Chang-ho's Baseball Team</td>\n",
       "      <td>Lee Chang-houi wingudan</td>\n",
       "      <td>1986</td>\n",
       "      <td>125</td>\n",
       "      <td>\\N</td>\n",
       "      <td>4.2</td>\n",
       "      <td>41</td>\n",
       "      <td>nm0496970</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.066370</td>\n",
       "      <td>0.021106</td>\n",
       "      <td>-0.044590</td>\n",
       "      <td>-0.021364</td>\n",
       "      <td>0.030265</td>\n",
       "      <td>-0.012434</td>\n",
       "      <td>0.089393</td>\n",
       "      <td>-0.050221</td>\n",
       "      <td>-0.016503</td>\n",
       "      <td>0.081377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8212</th>\n",
       "      <td>tt0319449</td>\n",
       "      <td>Ggambo</td>\n",
       "      <td>Ggambo</td>\n",
       "      <td>1986</td>\n",
       "      <td>100</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.7</td>\n",
       "      <td>8</td>\n",
       "      <td>nm1065829</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.052900</td>\n",
       "      <td>-0.013743</td>\n",
       "      <td>0.021683</td>\n",
       "      <td>-0.006887</td>\n",
       "      <td>-0.012450</td>\n",
       "      <td>0.004694</td>\n",
       "      <td>0.020635</td>\n",
       "      <td>0.019379</td>\n",
       "      <td>-0.022009</td>\n",
       "      <td>-0.003617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8335</th>\n",
       "      <td>tt0319472</td>\n",
       "      <td>Widow Dance</td>\n",
       "      <td>Gwabu chum</td>\n",
       "      <td>1984</td>\n",
       "      <td>108</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.4</td>\n",
       "      <td>6</td>\n",
       "      <td>nm0496970</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.007359</td>\n",
       "      <td>-0.065535</td>\n",
       "      <td>0.026443</td>\n",
       "      <td>0.022917</td>\n",
       "      <td>0.055956</td>\n",
       "      <td>0.042665</td>\n",
       "      <td>0.010883</td>\n",
       "      <td>0.024566</td>\n",
       "      <td>0.077490</td>\n",
       "      <td>0.028499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8371</th>\n",
       "      <td>tt0313239</td>\n",
       "      <td>Hunting for Idiots</td>\n",
       "      <td>Babo sanyang</td>\n",
       "      <td>1984</td>\n",
       "      <td>100</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.2</td>\n",
       "      <td>15</td>\n",
       "      <td>nm0453579</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.101774</td>\n",
       "      <td>0.011459</td>\n",
       "      <td>0.015364</td>\n",
       "      <td>0.059772</td>\n",
       "      <td>-0.112926</td>\n",
       "      <td>0.046771</td>\n",
       "      <td>0.059264</td>\n",
       "      <td>-0.017675</td>\n",
       "      <td>-0.065176</td>\n",
       "      <td>-0.000303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8377</th>\n",
       "      <td>tt0188758</td>\n",
       "      <td>Kill the Ninja</td>\n",
       "      <td>Kill the Ninja</td>\n",
       "      <td>1984</td>\n",
       "      <td>84</td>\n",
       "      <td>\\N</td>\n",
       "      <td>4.1</td>\n",
       "      <td>9</td>\n",
       "      <td>nm0661919</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.025159</td>\n",
       "      <td>0.081728</td>\n",
       "      <td>0.055385</td>\n",
       "      <td>-0.019192</td>\n",
       "      <td>-0.078378</td>\n",
       "      <td>-0.070003</td>\n",
       "      <td>0.001885</td>\n",
       "      <td>-0.047897</td>\n",
       "      <td>0.075168</td>\n",
       "      <td>0.014064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8378</th>\n",
       "      <td>tt0086157</td>\n",
       "      <td>Daughter of the Flames</td>\n",
       "      <td>Bului dal</td>\n",
       "      <td>1983</td>\n",
       "      <td>108</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.1</td>\n",
       "      <td>7</td>\n",
       "      <td>nm0407990</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008768</td>\n",
       "      <td>-0.087541</td>\n",
       "      <td>-0.007859</td>\n",
       "      <td>0.024378</td>\n",
       "      <td>-0.091453</td>\n",
       "      <td>-0.043376</td>\n",
       "      <td>0.041694</td>\n",
       "      <td>-0.009106</td>\n",
       "      <td>0.040195</td>\n",
       "      <td>-0.048814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8453</th>\n",
       "      <td>tt0330027</td>\n",
       "      <td>Red Cherry</td>\n",
       "      <td>Balgan aengdu</td>\n",
       "      <td>1982</td>\n",
       "      <td>95</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.5</td>\n",
       "      <td>6</td>\n",
       "      <td>nm1228549</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.114915</td>\n",
       "      <td>-0.000754</td>\n",
       "      <td>0.034198</td>\n",
       "      <td>0.048489</td>\n",
       "      <td>-0.047457</td>\n",
       "      <td>0.020405</td>\n",
       "      <td>0.070729</td>\n",
       "      <td>-0.044272</td>\n",
       "      <td>0.004652</td>\n",
       "      <td>0.035698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8455</th>\n",
       "      <td>tt0322834</td>\n",
       "      <td>Lover</td>\n",
       "      <td>Jeongbu</td>\n",
       "      <td>1982</td>\n",
       "      <td>88</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6</td>\n",
       "      <td>nm1161798</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001151</td>\n",
       "      <td>-0.023745</td>\n",
       "      <td>0.052129</td>\n",
       "      <td>0.046096</td>\n",
       "      <td>-0.031642</td>\n",
       "      <td>0.003665</td>\n",
       "      <td>-0.007672</td>\n",
       "      <td>0.076319</td>\n",
       "      <td>0.044975</td>\n",
       "      <td>-0.032932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8458</th>\n",
       "      <td>tt0314223</td>\n",
       "      <td>Free Maiden</td>\n",
       "      <td>Jayucheonyeo</td>\n",
       "      <td>1982</td>\n",
       "      <td>95</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.5</td>\n",
       "      <td>9</td>\n",
       "      <td>nm0453579</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021025</td>\n",
       "      <td>-0.043014</td>\n",
       "      <td>0.037492</td>\n",
       "      <td>0.034858</td>\n",
       "      <td>-0.032616</td>\n",
       "      <td>0.046755</td>\n",
       "      <td>0.053033</td>\n",
       "      <td>0.027773</td>\n",
       "      <td>0.004647</td>\n",
       "      <td>-0.015553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8471</th>\n",
       "      <td>tt0320127</td>\n",
       "      <td>Take Care of the Weak and Poor</td>\n",
       "      <td>Najeundero imhasoseo</td>\n",
       "      <td>1982</td>\n",
       "      <td>102</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.5</td>\n",
       "      <td>11</td>\n",
       "      <td>nm0496970</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.035115</td>\n",
       "      <td>-0.054333</td>\n",
       "      <td>-0.021589</td>\n",
       "      <td>0.010516</td>\n",
       "      <td>-0.084071</td>\n",
       "      <td>0.012207</td>\n",
       "      <td>0.050381</td>\n",
       "      <td>-0.028029</td>\n",
       "      <td>0.000685</td>\n",
       "      <td>-0.021127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8472</th>\n",
       "      <td>tt0153471</td>\n",
       "      <td>High School Tears</td>\n",
       "      <td>Woosangui nunmul</td>\n",
       "      <td>1982</td>\n",
       "      <td>100</td>\n",
       "      <td>\\N</td>\n",
       "      <td>2.5</td>\n",
       "      <td>10</td>\n",
       "      <td>nm0407990</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001310</td>\n",
       "      <td>-0.001853</td>\n",
       "      <td>-0.035314</td>\n",
       "      <td>-0.055060</td>\n",
       "      <td>-0.157911</td>\n",
       "      <td>0.032366</td>\n",
       "      <td>0.052136</td>\n",
       "      <td>0.078734</td>\n",
       "      <td>0.036513</td>\n",
       "      <td>0.089444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8669</th>\n",
       "      <td>tt0198706</td>\n",
       "      <td>Manhunt</td>\n",
       "      <td>Nanghwabigwon</td>\n",
       "      <td>1978</td>\n",
       "      <td>0</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.7</td>\n",
       "      <td>11</td>\n",
       "      <td>nm1396115,nm0465071</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.078395</td>\n",
       "      <td>-0.042240</td>\n",
       "      <td>-0.014452</td>\n",
       "      <td>0.037492</td>\n",
       "      <td>-0.010769</td>\n",
       "      <td>-0.008518</td>\n",
       "      <td>-0.005937</td>\n",
       "      <td>-0.041643</td>\n",
       "      <td>0.024441</td>\n",
       "      <td>0.034997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8678</th>\n",
       "      <td>tt0152281</td>\n",
       "      <td>The Evergreen Tree</td>\n",
       "      <td>Sangroksu</td>\n",
       "      <td>1978</td>\n",
       "      <td>115</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1.6</td>\n",
       "      <td>12</td>\n",
       "      <td>nm0407990</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002386</td>\n",
       "      <td>-0.010100</td>\n",
       "      <td>0.037342</td>\n",
       "      <td>0.033873</td>\n",
       "      <td>-0.032262</td>\n",
       "      <td>-0.009287</td>\n",
       "      <td>0.059289</td>\n",
       "      <td>0.051978</td>\n",
       "      <td>-0.083216</td>\n",
       "      <td>0.014906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8786</th>\n",
       "      <td>tt0153643</td>\n",
       "      <td>My Hometown</td>\n",
       "      <td>Wangshibri</td>\n",
       "      <td>1976</td>\n",
       "      <td>105</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.7</td>\n",
       "      <td>47</td>\n",
       "      <td>nm0407990</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026991</td>\n",
       "      <td>-0.036130</td>\n",
       "      <td>0.028501</td>\n",
       "      <td>0.009384</td>\n",
       "      <td>-0.015462</td>\n",
       "      <td>0.031703</td>\n",
       "      <td>-0.047462</td>\n",
       "      <td>0.001879</td>\n",
       "      <td>-0.027216</td>\n",
       "      <td>-0.020512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8790</th>\n",
       "      <td>tt0303098</td>\n",
       "      <td>The Golden Belt</td>\n",
       "      <td>Sujeja</td>\n",
       "      <td>1976</td>\n",
       "      <td>95</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.2</td>\n",
       "      <td>10</td>\n",
       "      <td>nm0461938</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.096240</td>\n",
       "      <td>-0.062498</td>\n",
       "      <td>0.039545</td>\n",
       "      <td>0.006166</td>\n",
       "      <td>-0.041218</td>\n",
       "      <td>0.060051</td>\n",
       "      <td>0.069225</td>\n",
       "      <td>-0.040111</td>\n",
       "      <td>-0.016381</td>\n",
       "      <td>0.005160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8791</th>\n",
       "      <td>tt0302494</td>\n",
       "      <td>Dogsulijeonseon</td>\n",
       "      <td>Dogsulijeonseon</td>\n",
       "      <td>1976</td>\n",
       "      <td>125</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5.4</td>\n",
       "      <td>10</td>\n",
       "      <td>nm0461938</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.058703</td>\n",
       "      <td>0.031922</td>\n",
       "      <td>0.034910</td>\n",
       "      <td>0.001580</td>\n",
       "      <td>0.079381</td>\n",
       "      <td>0.098377</td>\n",
       "      <td>0.030510</td>\n",
       "      <td>-0.041041</td>\n",
       "      <td>0.028465</td>\n",
       "      <td>0.063147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8855</th>\n",
       "      <td>tt0314478</td>\n",
       "      <td>Transgression</td>\n",
       "      <td>Pagye</td>\n",
       "      <td>1974</td>\n",
       "      <td>112</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.4</td>\n",
       "      <td>26</td>\n",
       "      <td>nm0453579</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.031597</td>\n",
       "      <td>-0.010084</td>\n",
       "      <td>0.047100</td>\n",
       "      <td>-0.000738</td>\n",
       "      <td>-0.025254</td>\n",
       "      <td>-0.021633</td>\n",
       "      <td>0.141338</td>\n",
       "      <td>-0.045964</td>\n",
       "      <td>-0.051779</td>\n",
       "      <td>-0.047144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8993</th>\n",
       "      <td>tt0324352</td>\n",
       "      <td>Ahn Jung-geun, Patriot</td>\n",
       "      <td>Uisa Ahn Jung-geun</td>\n",
       "      <td>1972</td>\n",
       "      <td>126</td>\n",
       "      <td>\\N</td>\n",
       "      <td>3.3</td>\n",
       "      <td>9</td>\n",
       "      <td>nm1076942</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.069567</td>\n",
       "      <td>0.039411</td>\n",
       "      <td>-0.007351</td>\n",
       "      <td>0.016068</td>\n",
       "      <td>0.048699</td>\n",
       "      <td>0.011775</td>\n",
       "      <td>0.076252</td>\n",
       "      <td>-0.012492</td>\n",
       "      <td>-0.005476</td>\n",
       "      <td>0.037916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9111</th>\n",
       "      <td>tt0326138</td>\n",
       "      <td>Starting Point</td>\n",
       "      <td>Shibaljeom</td>\n",
       "      <td>1969</td>\n",
       "      <td>77</td>\n",
       "      <td>\\N</td>\n",
       "      <td>6.4</td>\n",
       "      <td>10</td>\n",
       "      <td>nm0453678</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.085417</td>\n",
       "      <td>-0.079935</td>\n",
       "      <td>0.063308</td>\n",
       "      <td>0.012674</td>\n",
       "      <td>0.013425</td>\n",
       "      <td>0.014962</td>\n",
       "      <td>0.074942</td>\n",
       "      <td>-0.007690</td>\n",
       "      <td>0.071236</td>\n",
       "      <td>0.019833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9246</th>\n",
       "      <td>tt0329237</td>\n",
       "      <td>Sorrow Even Up in Heaven</td>\n",
       "      <td>Jeo haneuledo seulpeumi</td>\n",
       "      <td>1965</td>\n",
       "      <td>105</td>\n",
       "      <td>\\N</td>\n",
       "      <td>7.6</td>\n",
       "      <td>23</td>\n",
       "      <td>nm0453678</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051702</td>\n",
       "      <td>-0.097958</td>\n",
       "      <td>0.041314</td>\n",
       "      <td>0.081974</td>\n",
       "      <td>-0.091430</td>\n",
       "      <td>-0.059030</td>\n",
       "      <td>0.073379</td>\n",
       "      <td>-0.024131</td>\n",
       "      <td>0.023102</td>\n",
       "      <td>0.014731</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>49 rows × 396 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          tconst                    primaryTitle            originalTitle  \\\n",
       "234   tt19719222                       Seokkarae                Seokkarae   \n",
       "1162  tt21907524                        Turandot                 Turandot   \n",
       "1470  tt21148112                       Wayfinder                Wayfinder   \n",
       "1494  tt20038778               When Spring Comes        When Spring Comes   \n",
       "2869  tt18479912               Sister's Neighbor        Sister's Neighbor   \n",
       "2871  tt18480484                  Bosomy Tae-hee           Bosomy Tae-hee   \n",
       "3610  tt10478870         Notebook from My Mother       Eommaeui gongchaek   \n",
       "3635   tt9316658                  Winter's Night           Gyeo-wul-ba-me   \n",
       "4031  tt10515612              Oh! My God Returns        Guseju: Liteonjeu   \n",
       "4048   tt9030796                  Possible Faces             Eol-gul-deul   \n",
       "4163   tt6449738           Beaten Black and Blue     Woori sonja beseuteu   \n",
       "4164   tt6449626                 The Great Actor                Daebaewoo   \n",
       "4168   tt6448366                           Trick                   Teurik   \n",
       "5534   tt1728197                       Elbowroom                     Soom   \n",
       "5553   tt1733269                     Passerby #3                  Reinbou   \n",
       "6961   tt0323272                           Again     Miwodo dashi hanbeon   \n",
       "7055   tt0325832                 Mission Barabba          Mission Barabba   \n",
       "7429   tt0328417                   Paradise Lost               Shilrakwon   \n",
       "7437   tt0236383                   Family Cinema           Kazoku shinema   \n",
       "7489   tt0319571                         Destiny                   Inyeon   \n",
       "7610   tt0118211                            Yuri                     Yuri   \n",
       "7628   tt0298431                             Man                      Man   \n",
       "7691   tt0327507                Love in the Rain    Bineun salangeul tago   \n",
       "7781   tt0151196            That Woman, That Man     Geu yeoja, geu namja   \n",
       "7907   tt0331164                       For Agnes         Agneseul uihayeo   \n",
       "7943   tt0327969    You Know What? It's a Secret     Itjanhayo bimiliyeyo   \n",
       "8071   tt0313458                   Emma in Paris                Pari aema   \n",
       "8112   tt0094359            Diary of King Yonsan             Yeonsan ilgi   \n",
       "8133   tt0320776                         Y Story                  Y Story   \n",
       "8211   tt0319734    Lee Chang-ho's Baseball Team  Lee Chang-houi wingudan   \n",
       "8212   tt0319449                          Ggambo                   Ggambo   \n",
       "8335   tt0319472                     Widow Dance               Gwabu chum   \n",
       "8371   tt0313239              Hunting for Idiots             Babo sanyang   \n",
       "8377   tt0188758                  Kill the Ninja           Kill the Ninja   \n",
       "8378   tt0086157          Daughter of the Flames                Bului dal   \n",
       "8453   tt0330027                      Red Cherry            Balgan aengdu   \n",
       "8455   tt0322834                           Lover                  Jeongbu   \n",
       "8458   tt0314223                     Free Maiden             Jayucheonyeo   \n",
       "8471   tt0320127  Take Care of the Weak and Poor     Najeundero imhasoseo   \n",
       "8472   tt0153471               High School Tears         Woosangui nunmul   \n",
       "8669   tt0198706                         Manhunt            Nanghwabigwon   \n",
       "8678   tt0152281              The Evergreen Tree                Sangroksu   \n",
       "8786   tt0153643                     My Hometown               Wangshibri   \n",
       "8790   tt0303098                 The Golden Belt                   Sujeja   \n",
       "8791   tt0302494                 Dogsulijeonseon          Dogsulijeonseon   \n",
       "8855   tt0314478                   Transgression                    Pagye   \n",
       "8993   tt0324352          Ahn Jung-geun, Patriot       Uisa Ahn Jung-geun   \n",
       "9111   tt0326138                  Starting Point               Shibaljeom   \n",
       "9246   tt0329237        Sorrow Even Up in Heaven  Jeo haneuledo seulpeumi   \n",
       "\n",
       "      startYear  runtimeMinutes genres  averageRating  numVotes  \\\n",
       "234        2022              87     \\N            8.2         6   \n",
       "1162       2022             116     \\N            6.6        14   \n",
       "1470       2022               0     \\N            4.3        29   \n",
       "1494       2022             102     \\N            6.4         6   \n",
       "2869       2020              76     \\N            8.5         6   \n",
       "2871       2020              79     \\N            6.3        12   \n",
       "3610       2018             103     \\N            5.1         8   \n",
       "3635       2018              98     \\N            5.9       178   \n",
       "4031       2017              98     \\N            5.8         7   \n",
       "4048       2017             132     \\N            6.2        11   \n",
       "4163       2016             130     \\N            6.2         7   \n",
       "4164       2016             108     \\N            6.3        30   \n",
       "4168       2016              94     \\N            5.4         5   \n",
       "5534       2010               0     \\N            6.7        31   \n",
       "5553       2010               0     \\N            6.5        29   \n",
       "6961       2002             102     \\N            3.5        20   \n",
       "7055       2001               0     \\N            7.4        10   \n",
       "7429       1998             100     \\N            4.6        20   \n",
       "7437       1998             113     \\N            6.8        29   \n",
       "7489       1997             102     \\N            3.8         6   \n",
       "7610       1996             113     \\N            4.8        18   \n",
       "7628       1995              86     \\N            3.0        25   \n",
       "7691       1994              82     \\N            3.1        13   \n",
       "7781       1993             109     \\N            4.9        13   \n",
       "7907       1991               0     \\N            5.6         5   \n",
       "7943       1990             109     \\N            5.6        14   \n",
       "8071       1988             111     \\N            2.7        14   \n",
       "8112       1988             118     \\N            6.1        22   \n",
       "8133       1987             111     \\N            1.8         7   \n",
       "8211       1986             125     \\N            4.2        41   \n",
       "8212       1986             100     \\N            5.7         8   \n",
       "8335       1984             108     \\N            5.4         6   \n",
       "8371       1984             100     \\N            6.2        15   \n",
       "8377       1984              84     \\N            4.1         9   \n",
       "8378       1983             108     \\N            6.1         7   \n",
       "8453       1982              95     \\N            5.5         6   \n",
       "8455       1982              88     \\N            6.4         6   \n",
       "8458       1982              95     \\N            5.5         9   \n",
       "8471       1982             102     \\N            5.5        11   \n",
       "8472       1982             100     \\N            2.5        10   \n",
       "8669       1978               0     \\N            5.7        11   \n",
       "8678       1978             115     \\N            1.6        12   \n",
       "8786       1976             105     \\N            6.7        47   \n",
       "8790       1976              95     \\N            5.2        10   \n",
       "8791       1976             125     \\N            5.4        10   \n",
       "8855       1974             112     \\N            6.4        26   \n",
       "8993       1972             126     \\N            3.3         9   \n",
       "9111       1969              77     \\N            6.4        10   \n",
       "9246       1965             105     \\N            7.6        23   \n",
       "\n",
       "                directors  ordering  ... embedding_374 embedding_375  \\\n",
       "234             nm3169365         1  ...     -0.026449     -0.050017   \n",
       "1162            nm5445317         1  ...      0.056738     -0.092665   \n",
       "1470           nm10348104         1  ...      0.027934     -0.035336   \n",
       "1494            nm5293610         1  ...      0.050212     -0.053018   \n",
       "2869           nm13460105         1  ...     -0.006401     -0.019743   \n",
       "2871           nm13449811         1  ...      0.011192     -0.038201   \n",
       "3610            nm1193005        10  ...     -0.005445     -0.061745   \n",
       "3635            nm6672273         1  ...     -0.052669     -0.121986   \n",
       "4031            nm8717931        10  ...      0.035435     -0.037214   \n",
       "4048            nm6544270         1  ...     -0.031387     -0.073164   \n",
       "4163            nm0453676        10  ...     -0.005315     -0.133274   \n",
       "4164            nm1962220        10  ...      0.061613      0.058943   \n",
       "4168           nm11198313        10  ...      0.079561     -0.072028   \n",
       "5534            nm4086797         1  ...      0.022832      0.024759   \n",
       "5553            nm4100260         1  ...      0.039767     -0.101534   \n",
       "6961            nm1197961         1  ...      0.003747      0.009192   \n",
       "7055            nm0756908         1  ...     -0.049882      0.046145   \n",
       "7429            nm0151751        10  ...      0.018979     -0.065966   \n",
       "7437            nm0661799         1  ...     -0.090451     -0.093304   \n",
       "7489            nm1065829        10  ...     -0.018270     -0.092195   \n",
       "7610            nm0946092         1  ...     -0.053976     -0.076563   \n",
       "7628            nm0947507         1  ...      0.021603     -0.076402   \n",
       "7691            nm1216829         1  ...      0.050659     -0.066504   \n",
       "7781            nm0453720         1  ...     -0.030794     -0.031075   \n",
       "7907            nm1218393         1  ...      0.101036     -0.014112   \n",
       "7943            nm1216829         1  ...     -0.002036      0.028309   \n",
       "8071            nm1107389         1  ...     -0.020552     -0.006294   \n",
       "8112            nm0407990         1  ...      0.055017     -0.018386   \n",
       "8133            nm0496970         1  ...      0.083765     -0.028795   \n",
       "8211            nm0496970         1  ...     -0.066370      0.021106   \n",
       "8212            nm1065829         1  ...      0.052900     -0.013743   \n",
       "8335            nm0496970         1  ...     -0.007359     -0.065535   \n",
       "8371            nm0453579         1  ...      0.101774      0.011459   \n",
       "8377            nm0661919         1  ...      0.025159      0.081728   \n",
       "8378            nm0407990         1  ...      0.008768     -0.087541   \n",
       "8453            nm1228549         1  ...      0.114915     -0.000754   \n",
       "8455            nm1161798         1  ...      0.001151     -0.023745   \n",
       "8458            nm0453579         1  ...      0.021025     -0.043014   \n",
       "8471            nm0496970         1  ...     -0.035115     -0.054333   \n",
       "8472            nm0407990         1  ...      0.001310     -0.001853   \n",
       "8669  nm1396115,nm0465071         1  ...      0.078395     -0.042240   \n",
       "8678            nm0407990         1  ...      0.002386     -0.010100   \n",
       "8786            nm0407990         1  ...      0.026991     -0.036130   \n",
       "8790            nm0461938         1  ...      0.096240     -0.062498   \n",
       "8791            nm0461938         1  ...      0.058703      0.031922   \n",
       "8855            nm0453579         1  ...     -0.031597     -0.010084   \n",
       "8993            nm1076942         1  ...      0.069567      0.039411   \n",
       "9111            nm0453678         1  ...     -0.085417     -0.079935   \n",
       "9246            nm0453678         1  ...      0.051702     -0.097958   \n",
       "\n",
       "      embedding_376  embedding_377  embedding_378  embedding_379  \\\n",
       "234        0.000535       0.014449      -0.031801      -0.012975   \n",
       "1162       0.013467       0.109982      -0.076053       0.034486   \n",
       "1470      -0.012009       0.032426      -0.005362       0.031464   \n",
       "1494      -0.014997       0.105847       0.043040      -0.015256   \n",
       "2869      -0.050487       0.110455       0.031364       0.049460   \n",
       "2871      -0.006923       0.014123      -0.033094      -0.027109   \n",
       "3610      -0.038882      -0.024662      -0.100428       0.000943   \n",
       "3635       0.020409       0.059213      -0.043871       0.009736   \n",
       "4031       0.046466       0.034180       0.049533       0.040634   \n",
       "4048      -0.052081       0.019737      -0.034283      -0.016179   \n",
       "4163      -0.063454       0.069791      -0.017769       0.041707   \n",
       "4164      -0.063359       0.028699      -0.001778       0.029905   \n",
       "4168       0.022256      -0.015077      -0.047783      -0.027532   \n",
       "5534       0.042070      -0.022748      -0.053882       0.030075   \n",
       "5553      -0.027974      -0.003845      -0.095177       0.072348   \n",
       "6961      -0.045238      -0.001786      -0.023689       0.058638   \n",
       "7055      -0.002932       0.023678       0.034908      -0.030575   \n",
       "7429      -0.007038       0.056804      -0.082540       0.041246   \n",
       "7437       0.052365      -0.043831      -0.023018       0.100176   \n",
       "7489      -0.064262       0.048300      -0.046182       0.052421   \n",
       "7610       0.002671       0.024096      -0.091815       0.014694   \n",
       "7628       0.038794       0.067813      -0.052063      -0.010937   \n",
       "7691       0.002180       0.106683       0.003193       0.033331   \n",
       "7781      -0.083050       0.009098       0.014968       0.066683   \n",
       "7907       0.094932       0.010387      -0.094804       0.037249   \n",
       "7943      -0.043197      -0.003218      -0.016909      -0.028817   \n",
       "8071      -0.015279       0.061867      -0.047348       0.053748   \n",
       "8112       0.030674       0.053418      -0.101329       0.060080   \n",
       "8133      -0.029788       0.063724      -0.044629       0.066153   \n",
       "8211      -0.044590      -0.021364       0.030265      -0.012434   \n",
       "8212       0.021683      -0.006887      -0.012450       0.004694   \n",
       "8335       0.026443       0.022917       0.055956       0.042665   \n",
       "8371       0.015364       0.059772      -0.112926       0.046771   \n",
       "8377       0.055385      -0.019192      -0.078378      -0.070003   \n",
       "8378      -0.007859       0.024378      -0.091453      -0.043376   \n",
       "8453       0.034198       0.048489      -0.047457       0.020405   \n",
       "8455       0.052129       0.046096      -0.031642       0.003665   \n",
       "8458       0.037492       0.034858      -0.032616       0.046755   \n",
       "8471      -0.021589       0.010516      -0.084071       0.012207   \n",
       "8472      -0.035314      -0.055060      -0.157911       0.032366   \n",
       "8669      -0.014452       0.037492      -0.010769      -0.008518   \n",
       "8678       0.037342       0.033873      -0.032262      -0.009287   \n",
       "8786       0.028501       0.009384      -0.015462       0.031703   \n",
       "8790       0.039545       0.006166      -0.041218       0.060051   \n",
       "8791       0.034910       0.001580       0.079381       0.098377   \n",
       "8855       0.047100      -0.000738      -0.025254      -0.021633   \n",
       "8993      -0.007351       0.016068       0.048699       0.011775   \n",
       "9111       0.063308       0.012674       0.013425       0.014962   \n",
       "9246       0.041314       0.081974      -0.091430      -0.059030   \n",
       "\n",
       "      embedding_380  embedding_381  embedding_382  embedding_383  \n",
       "234        0.100203      -0.012541      -0.002376       0.004239  \n",
       "1162       0.069812      -0.076174       0.027763       0.005146  \n",
       "1470       0.001737       0.014449      -0.097272       0.021504  \n",
       "1494       0.059968      -0.054610       0.041452      -0.008326  \n",
       "2869       0.010531      -0.006338      -0.072105      -0.024172  \n",
       "2871       0.046833      -0.000089       0.001792      -0.018132  \n",
       "3610       0.069742       0.084996       0.055150       0.021253  \n",
       "3635       0.064058      -0.028492      -0.048421       0.019930  \n",
       "4031       0.061996      -0.062668       0.002766       0.041996  \n",
       "4048       0.059491       0.000716      -0.072017      -0.005195  \n",
       "4163       0.091576      -0.028901      -0.052277      -0.022337  \n",
       "4164      -0.007162      -0.072981      -0.083444       0.010561  \n",
       "4168       0.006757      -0.008336      -0.059780       0.028424  \n",
       "5534       0.070421       0.027824       0.096462      -0.021446  \n",
       "5553      -0.011055      -0.050319       0.033456       0.010453  \n",
       "6961       0.015133      -0.032418       0.050442       0.027704  \n",
       "7055       0.029495      -0.026948      -0.002996      -0.010404  \n",
       "7429      -0.012659      -0.001630       0.062048      -0.051905  \n",
       "7437       0.063636      -0.083497      -0.003441      -0.083019  \n",
       "7489       0.078613      -0.040188       0.075424       0.002531  \n",
       "7610      -0.009071      -0.031858      -0.055104       0.022436  \n",
       "7628       0.042812      -0.040709       0.040268      -0.063200  \n",
       "7691       0.103921      -0.043803       0.002262       0.017837  \n",
       "7781      -0.033595       0.008253       0.094214       0.039016  \n",
       "7907       0.068873       0.030472       0.054669       0.000394  \n",
       "7943       0.108024       0.069655      -0.053890       0.026339  \n",
       "8071      -0.016014       0.069565       0.068516      -0.029922  \n",
       "8112       0.096061       0.035731       0.020560       0.021758  \n",
       "8133       0.063360       0.069542       0.071933      -0.118431  \n",
       "8211       0.089393      -0.050221      -0.016503       0.081377  \n",
       "8212       0.020635       0.019379      -0.022009      -0.003617  \n",
       "8335       0.010883       0.024566       0.077490       0.028499  \n",
       "8371       0.059264      -0.017675      -0.065176      -0.000303  \n",
       "8377       0.001885      -0.047897       0.075168       0.014064  \n",
       "8378       0.041694      -0.009106       0.040195      -0.048814  \n",
       "8453       0.070729      -0.044272       0.004652       0.035698  \n",
       "8455      -0.007672       0.076319       0.044975      -0.032932  \n",
       "8458       0.053033       0.027773       0.004647      -0.015553  \n",
       "8471       0.050381      -0.028029       0.000685      -0.021127  \n",
       "8472       0.052136       0.078734       0.036513       0.089444  \n",
       "8669      -0.005937      -0.041643       0.024441       0.034997  \n",
       "8678       0.059289       0.051978      -0.083216       0.014906  \n",
       "8786      -0.047462       0.001879      -0.027216      -0.020512  \n",
       "8790       0.069225      -0.040111      -0.016381       0.005160  \n",
       "8791       0.030510      -0.041041       0.028465       0.063147  \n",
       "8855       0.141338      -0.045964      -0.051779      -0.047144  \n",
       "8993       0.076252      -0.012492      -0.005476       0.037916  \n",
       "9111       0.074942      -0.007690       0.071236       0.019833  \n",
       "9246       0.073379      -0.024131       0.023102       0.014731  \n",
       "\n",
       "[49 rows x 396 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_metadata_with_overview[final_metadata_with_overview['genres'] == '\\\\N']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>startYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "      <th>directors</th>\n",
       "      <th>ordering</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4826</th>\n",
       "      <td>tt3471440</td>\n",
       "      <td>E-Motion</td>\n",
       "      <td>E-Motion</td>\n",
       "      <td>2014</td>\n",
       "      <td>87</td>\n",
       "      <td>Documentary,News</td>\n",
       "      <td>7.6</td>\n",
       "      <td>302</td>\n",
       "      <td>nm1206378</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.125051</td>\n",
       "      <td>-0.022959</td>\n",
       "      <td>-0.029818</td>\n",
       "      <td>0.091227</td>\n",
       "      <td>-0.037645</td>\n",
       "      <td>0.030883</td>\n",
       "      <td>0.109524</td>\n",
       "      <td>-0.003499</td>\n",
       "      <td>-0.021806</td>\n",
       "      <td>-0.021991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4830</th>\n",
       "      <td>tt3469420</td>\n",
       "      <td>Love Child</td>\n",
       "      <td>Love Child</td>\n",
       "      <td>2014</td>\n",
       "      <td>75</td>\n",
       "      <td>Crime,Documentary,News</td>\n",
       "      <td>5.6</td>\n",
       "      <td>335</td>\n",
       "      <td>nm4221988</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.080228</td>\n",
       "      <td>-0.082785</td>\n",
       "      <td>0.091316</td>\n",
       "      <td>0.063355</td>\n",
       "      <td>-0.083068</td>\n",
       "      <td>0.061147</td>\n",
       "      <td>0.123766</td>\n",
       "      <td>0.013819</td>\n",
       "      <td>0.019019</td>\n",
       "      <td>0.029078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9392</th>\n",
       "      <td>tt0052311</td>\n",
       "      <td>Touch of Evil</td>\n",
       "      <td>Touch of Evil</td>\n",
       "      <td>1958</td>\n",
       "      <td>95</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>8.0</td>\n",
       "      <td>109377</td>\n",
       "      <td>nm0000080</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.067564</td>\n",
       "      <td>0.029153</td>\n",
       "      <td>0.018452</td>\n",
       "      <td>-0.035079</td>\n",
       "      <td>0.004974</td>\n",
       "      <td>-0.083710</td>\n",
       "      <td>0.014997</td>\n",
       "      <td>0.055276</td>\n",
       "      <td>0.014799</td>\n",
       "      <td>-0.047192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9415</th>\n",
       "      <td>tt0050670</td>\n",
       "      <td>The Mailbag Robbery</td>\n",
       "      <td>The Flying Scot</td>\n",
       "      <td>1957</td>\n",
       "      <td>70</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>6.2</td>\n",
       "      <td>387</td>\n",
       "      <td>nm0071682</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.109768</td>\n",
       "      <td>-0.071683</td>\n",
       "      <td>-0.012507</td>\n",
       "      <td>0.026528</td>\n",
       "      <td>0.007580</td>\n",
       "      <td>-0.084126</td>\n",
       "      <td>0.053284</td>\n",
       "      <td>0.021968</td>\n",
       "      <td>-0.072354</td>\n",
       "      <td>-0.057901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9432</th>\n",
       "      <td>tt0051207</td>\n",
       "      <td>The Wrong Man</td>\n",
       "      <td>The Wrong Man</td>\n",
       "      <td>1956</td>\n",
       "      <td>105</td>\n",
       "      <td>Drama,Film-Noir</td>\n",
       "      <td>7.4</td>\n",
       "      <td>31154</td>\n",
       "      <td>nm0000033</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.028652</td>\n",
       "      <td>-0.038588</td>\n",
       "      <td>0.011049</td>\n",
       "      <td>-0.036626</td>\n",
       "      <td>0.008034</td>\n",
       "      <td>-0.083618</td>\n",
       "      <td>-0.010253</td>\n",
       "      <td>-0.012276</td>\n",
       "      <td>0.005349</td>\n",
       "      <td>0.002277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9442</th>\n",
       "      <td>tt0049414</td>\n",
       "      <td>A Kiss Before Dying</td>\n",
       "      <td>A Kiss Before Dying</td>\n",
       "      <td>1956</td>\n",
       "      <td>94</td>\n",
       "      <td>Crime,Film-Noir,Mystery</td>\n",
       "      <td>6.7</td>\n",
       "      <td>4286</td>\n",
       "      <td>nm0652631</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.069638</td>\n",
       "      <td>-0.038453</td>\n",
       "      <td>-0.070011</td>\n",
       "      <td>0.091310</td>\n",
       "      <td>-0.000090</td>\n",
       "      <td>0.012787</td>\n",
       "      <td>0.062581</td>\n",
       "      <td>-0.027535</td>\n",
       "      <td>0.008695</td>\n",
       "      <td>-0.010192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9445</th>\n",
       "      <td>tt0048996</td>\n",
       "      <td>Behind the High Wall</td>\n",
       "      <td>Behind the High Wall</td>\n",
       "      <td>1956</td>\n",
       "      <td>85</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>6.4</td>\n",
       "      <td>233</td>\n",
       "      <td>nm0080867</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.052460</td>\n",
       "      <td>-0.075424</td>\n",
       "      <td>-0.038639</td>\n",
       "      <td>0.078376</td>\n",
       "      <td>0.034029</td>\n",
       "      <td>-0.026609</td>\n",
       "      <td>-0.060707</td>\n",
       "      <td>0.057671</td>\n",
       "      <td>0.049130</td>\n",
       "      <td>-0.047591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9446</th>\n",
       "      <td>tt0049291</td>\n",
       "      <td>The Harder They Fall</td>\n",
       "      <td>The Harder They Fall</td>\n",
       "      <td>1956</td>\n",
       "      <td>109</td>\n",
       "      <td>Drama,Film-Noir,Sport</td>\n",
       "      <td>7.5</td>\n",
       "      <td>8969</td>\n",
       "      <td>nm0733476</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002972</td>\n",
       "      <td>0.020846</td>\n",
       "      <td>0.040688</td>\n",
       "      <td>-0.039232</td>\n",
       "      <td>-0.052813</td>\n",
       "      <td>0.029451</td>\n",
       "      <td>-0.078314</td>\n",
       "      <td>-0.040211</td>\n",
       "      <td>0.017097</td>\n",
       "      <td>-0.028685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9449</th>\n",
       "      <td>tt0048790</td>\n",
       "      <td>Violent Saturday</td>\n",
       "      <td>Violent Saturday</td>\n",
       "      <td>1955</td>\n",
       "      <td>90</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2841</td>\n",
       "      <td>nm0281507</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.115942</td>\n",
       "      <td>0.004066</td>\n",
       "      <td>-0.015127</td>\n",
       "      <td>0.047511</td>\n",
       "      <td>0.049728</td>\n",
       "      <td>-0.025179</td>\n",
       "      <td>0.034710</td>\n",
       "      <td>-0.002981</td>\n",
       "      <td>0.025141</td>\n",
       "      <td>-0.029910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9463</th>\n",
       "      <td>tt0048254</td>\n",
       "      <td>Killer's Kiss</td>\n",
       "      <td>Killer's Kiss</td>\n",
       "      <td>1955</td>\n",
       "      <td>67</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>6.6</td>\n",
       "      <td>25837</td>\n",
       "      <td>nm0000040</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.035004</td>\n",
       "      <td>-0.029222</td>\n",
       "      <td>-0.039978</td>\n",
       "      <td>-0.013641</td>\n",
       "      <td>0.006667</td>\n",
       "      <td>-0.041826</td>\n",
       "      <td>-0.069180</td>\n",
       "      <td>-0.017315</td>\n",
       "      <td>0.073187</td>\n",
       "      <td>-0.005142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9473</th>\n",
       "      <td>tt0047067</td>\n",
       "      <td>Heat Wave</td>\n",
       "      <td>The House Across the Lake</td>\n",
       "      <td>1954</td>\n",
       "      <td>68</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>6.0</td>\n",
       "      <td>781</td>\n",
       "      <td>nm0400731</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.007325</td>\n",
       "      <td>-0.090354</td>\n",
       "      <td>-0.037285</td>\n",
       "      <td>0.017512</td>\n",
       "      <td>-0.018742</td>\n",
       "      <td>0.002169</td>\n",
       "      <td>0.035247</td>\n",
       "      <td>-0.046676</td>\n",
       "      <td>0.039074</td>\n",
       "      <td>-0.019848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9491</th>\n",
       "      <td>tt0045205</td>\n",
       "      <td>Sudden Fear</td>\n",
       "      <td>Sudden Fear</td>\n",
       "      <td>1952</td>\n",
       "      <td>110</td>\n",
       "      <td>Film-Noir,Thriller</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7268</td>\n",
       "      <td>nm0588183</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002828</td>\n",
       "      <td>-0.054532</td>\n",
       "      <td>-0.042839</td>\n",
       "      <td>0.004291</td>\n",
       "      <td>-0.103923</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>-0.060316</td>\n",
       "      <td>-0.046500</td>\n",
       "      <td>-0.008804</td>\n",
       "      <td>0.022012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9492</th>\n",
       "      <td>tt0045267</td>\n",
       "      <td>The Turning Point</td>\n",
       "      <td>The Turning Point</td>\n",
       "      <td>1952</td>\n",
       "      <td>85</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>6.8</td>\n",
       "      <td>1760</td>\n",
       "      <td>nm0226189</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.034464</td>\n",
       "      <td>-0.015007</td>\n",
       "      <td>0.041039</td>\n",
       "      <td>0.056789</td>\n",
       "      <td>-0.022179</td>\n",
       "      <td>-0.090206</td>\n",
       "      <td>0.050489</td>\n",
       "      <td>0.000477</td>\n",
       "      <td>0.062363</td>\n",
       "      <td>-0.000753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9493</th>\n",
       "      <td>tt0043465</td>\n",
       "      <td>Detective Story</td>\n",
       "      <td>Detective Story</td>\n",
       "      <td>1951</td>\n",
       "      <td>103</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>7.5</td>\n",
       "      <td>9422</td>\n",
       "      <td>nm0943758</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.055651</td>\n",
       "      <td>-0.004964</td>\n",
       "      <td>-0.013211</td>\n",
       "      <td>0.011028</td>\n",
       "      <td>-0.047989</td>\n",
       "      <td>-0.043124</td>\n",
       "      <td>-0.067585</td>\n",
       "      <td>0.030629</td>\n",
       "      <td>-0.036792</td>\n",
       "      <td>0.020181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9499</th>\n",
       "      <td>tt0044079</td>\n",
       "      <td>Strangers on a Train</td>\n",
       "      <td>Strangers on a Train</td>\n",
       "      <td>1951</td>\n",
       "      <td>101</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>7.9</td>\n",
       "      <td>140417</td>\n",
       "      <td>nm0000033</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018375</td>\n",
       "      <td>-0.071796</td>\n",
       "      <td>-0.040570</td>\n",
       "      <td>0.071002</td>\n",
       "      <td>-0.103937</td>\n",
       "      <td>-0.007142</td>\n",
       "      <td>0.093201</td>\n",
       "      <td>0.006865</td>\n",
       "      <td>0.042317</td>\n",
       "      <td>-0.031927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9503</th>\n",
       "      <td>tt0042788</td>\n",
       "      <td>Night and the City</td>\n",
       "      <td>Night and the City</td>\n",
       "      <td>1950</td>\n",
       "      <td>101</td>\n",
       "      <td>Crime,Film-Noir,Mystery</td>\n",
       "      <td>7.9</td>\n",
       "      <td>15135</td>\n",
       "      <td>nm0202088</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.058415</td>\n",
       "      <td>-0.067939</td>\n",
       "      <td>-0.090879</td>\n",
       "      <td>0.044830</td>\n",
       "      <td>-0.019451</td>\n",
       "      <td>-0.058009</td>\n",
       "      <td>0.014627</td>\n",
       "      <td>-0.036129</td>\n",
       "      <td>0.028408</td>\n",
       "      <td>-0.043514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9504</th>\n",
       "      <td>tt0043014</td>\n",
       "      <td>Sunset Blvd.</td>\n",
       "      <td>Sunset Blvd.</td>\n",
       "      <td>1950</td>\n",
       "      <td>110</td>\n",
       "      <td>Drama,Film-Noir</td>\n",
       "      <td>8.4</td>\n",
       "      <td>235056</td>\n",
       "      <td>nm0000697</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.037466</td>\n",
       "      <td>-0.008365</td>\n",
       "      <td>-0.043904</td>\n",
       "      <td>0.081952</td>\n",
       "      <td>-0.029023</td>\n",
       "      <td>-0.031339</td>\n",
       "      <td>-0.007844</td>\n",
       "      <td>0.026552</td>\n",
       "      <td>0.069004</td>\n",
       "      <td>-0.024830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9510</th>\n",
       "      <td>tt0041268</td>\n",
       "      <td>Criss Cross</td>\n",
       "      <td>Criss Cross</td>\n",
       "      <td>1949</td>\n",
       "      <td>84</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9549</td>\n",
       "      <td>nm0802563</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.108088</td>\n",
       "      <td>-0.015734</td>\n",
       "      <td>-0.027862</td>\n",
       "      <td>0.005689</td>\n",
       "      <td>0.007388</td>\n",
       "      <td>-0.062803</td>\n",
       "      <td>0.034661</td>\n",
       "      <td>0.008101</td>\n",
       "      <td>0.013999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9511</th>\n",
       "      <td>tt0041959</td>\n",
       "      <td>The Third Man</td>\n",
       "      <td>The Third Man</td>\n",
       "      <td>1949</td>\n",
       "      <td>104</td>\n",
       "      <td>Film-Noir,Mystery,Thriller</td>\n",
       "      <td>8.1</td>\n",
       "      <td>180846</td>\n",
       "      <td>nm0715346</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.056207</td>\n",
       "      <td>-0.054417</td>\n",
       "      <td>-0.042118</td>\n",
       "      <td>0.124812</td>\n",
       "      <td>-0.043057</td>\n",
       "      <td>-0.010360</td>\n",
       "      <td>0.033549</td>\n",
       "      <td>-0.017550</td>\n",
       "      <td>0.040008</td>\n",
       "      <td>0.067845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9518</th>\n",
       "      <td>tt0040872</td>\n",
       "      <td>They Live by Night</td>\n",
       "      <td>They Live by Night</td>\n",
       "      <td>1948</td>\n",
       "      <td>95</td>\n",
       "      <td>Crime,Film-Noir,Romance</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9295</td>\n",
       "      <td>nm0712947</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.005052</td>\n",
       "      <td>-0.060690</td>\n",
       "      <td>-0.044706</td>\n",
       "      <td>0.043712</td>\n",
       "      <td>0.013578</td>\n",
       "      <td>-0.000834</td>\n",
       "      <td>0.009970</td>\n",
       "      <td>0.008530</td>\n",
       "      <td>0.116878</td>\n",
       "      <td>0.005930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>tt0040512</td>\n",
       "      <td>Kiss the Blood Off My Hands</td>\n",
       "      <td>Kiss the Blood Off My Hands</td>\n",
       "      <td>1948</td>\n",
       "      <td>79</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2065</td>\n",
       "      <td>nm0287988</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.040905</td>\n",
       "      <td>-0.068943</td>\n",
       "      <td>0.015878</td>\n",
       "      <td>0.036356</td>\n",
       "      <td>-0.056380</td>\n",
       "      <td>-0.032879</td>\n",
       "      <td>-0.020841</td>\n",
       "      <td>-0.053663</td>\n",
       "      <td>0.057888</td>\n",
       "      <td>-0.023994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>tt0039973</td>\n",
       "      <td>The Web</td>\n",
       "      <td>The Web</td>\n",
       "      <td>1947</td>\n",
       "      <td>87</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>7.1</td>\n",
       "      <td>1445</td>\n",
       "      <td>nm0330456</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000883</td>\n",
       "      <td>0.008211</td>\n",
       "      <td>-0.011479</td>\n",
       "      <td>0.017547</td>\n",
       "      <td>-0.085628</td>\n",
       "      <td>0.109249</td>\n",
       "      <td>0.026454</td>\n",
       "      <td>-0.091216</td>\n",
       "      <td>0.019188</td>\n",
       "      <td>0.076815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>tt0039536</td>\n",
       "      <td>Kiss of Death</td>\n",
       "      <td>Kiss of Death</td>\n",
       "      <td>1947</td>\n",
       "      <td>99</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9495</td>\n",
       "      <td>nm0368871</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.024264</td>\n",
       "      <td>-0.059431</td>\n",
       "      <td>-0.000007</td>\n",
       "      <td>0.064504</td>\n",
       "      <td>-0.168330</td>\n",
       "      <td>0.072592</td>\n",
       "      <td>0.046505</td>\n",
       "      <td>-0.006850</td>\n",
       "      <td>0.030329</td>\n",
       "      <td>-0.047395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9525</th>\n",
       "      <td>tt0039302</td>\n",
       "      <td>Dark Passage</td>\n",
       "      <td>Dark Passage</td>\n",
       "      <td>1947</td>\n",
       "      <td>106</td>\n",
       "      <td>Film-Noir,Thriller</td>\n",
       "      <td>7.5</td>\n",
       "      <td>21816</td>\n",
       "      <td>nm0202681</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.094926</td>\n",
       "      <td>-0.048087</td>\n",
       "      <td>-0.027291</td>\n",
       "      <td>0.014444</td>\n",
       "      <td>-0.085732</td>\n",
       "      <td>-0.041241</td>\n",
       "      <td>0.032752</td>\n",
       "      <td>0.063853</td>\n",
       "      <td>0.134268</td>\n",
       "      <td>-0.025165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9526</th>\n",
       "      <td>tt0039224</td>\n",
       "      <td>Brute Force</td>\n",
       "      <td>Brute Force</td>\n",
       "      <td>1947</td>\n",
       "      <td>98</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>7.6</td>\n",
       "      <td>11454</td>\n",
       "      <td>nm0202088</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.074461</td>\n",
       "      <td>-0.021760</td>\n",
       "      <td>-0.004540</td>\n",
       "      <td>0.007185</td>\n",
       "      <td>-0.097198</td>\n",
       "      <td>-0.013047</td>\n",
       "      <td>-0.066439</td>\n",
       "      <td>-0.040590</td>\n",
       "      <td>0.035055</td>\n",
       "      <td>-0.107717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9527</th>\n",
       "      <td>tt0038669</td>\n",
       "      <td>The Killers</td>\n",
       "      <td>The Killers</td>\n",
       "      <td>1946</td>\n",
       "      <td>103</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>7.7</td>\n",
       "      <td>23461</td>\n",
       "      <td>nm0802563</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004011</td>\n",
       "      <td>-0.107586</td>\n",
       "      <td>0.017660</td>\n",
       "      <td>0.010581</td>\n",
       "      <td>-0.013279</td>\n",
       "      <td>-0.013627</td>\n",
       "      <td>0.117459</td>\n",
       "      <td>0.011322</td>\n",
       "      <td>0.019649</td>\n",
       "      <td>0.013806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9529</th>\n",
       "      <td>tt0038559</td>\n",
       "      <td>Gilda</td>\n",
       "      <td>Gilda</td>\n",
       "      <td>1946</td>\n",
       "      <td>110</td>\n",
       "      <td>Drama,Film-Noir,Romance</td>\n",
       "      <td>7.6</td>\n",
       "      <td>35008</td>\n",
       "      <td>nm0896533</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.060965</td>\n",
       "      <td>-0.110832</td>\n",
       "      <td>0.005986</td>\n",
       "      <td>0.038128</td>\n",
       "      <td>-0.011845</td>\n",
       "      <td>-0.018983</td>\n",
       "      <td>-0.007298</td>\n",
       "      <td>-0.073946</td>\n",
       "      <td>0.006728</td>\n",
       "      <td>-0.028628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9530</th>\n",
       "      <td>tt0038965</td>\n",
       "      <td>Somewhere in the Night</td>\n",
       "      <td>Somewhere in the Night</td>\n",
       "      <td>1946</td>\n",
       "      <td>110</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3497</td>\n",
       "      <td>nm0000581</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.048875</td>\n",
       "      <td>-0.042994</td>\n",
       "      <td>0.022831</td>\n",
       "      <td>0.022163</td>\n",
       "      <td>-0.060681</td>\n",
       "      <td>0.051634</td>\n",
       "      <td>0.023364</td>\n",
       "      <td>0.010467</td>\n",
       "      <td>-0.024763</td>\n",
       "      <td>-0.053175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9532</th>\n",
       "      <td>tt0038123</td>\n",
       "      <td>The Strange Affair of Uncle Harry</td>\n",
       "      <td>The Strange Affair of Uncle Harry</td>\n",
       "      <td>1945</td>\n",
       "      <td>80</td>\n",
       "      <td>Drama,Film-Noir</td>\n",
       "      <td>6.7</td>\n",
       "      <td>1971</td>\n",
       "      <td>nm0802563</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.025831</td>\n",
       "      <td>-0.146805</td>\n",
       "      <td>-0.088317</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>0.027649</td>\n",
       "      <td>0.027150</td>\n",
       "      <td>-0.013131</td>\n",
       "      <td>0.056418</td>\n",
       "      <td>0.044797</td>\n",
       "      <td>-0.092389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9538</th>\n",
       "      <td>tt0036775</td>\n",
       "      <td>Double Indemnity</td>\n",
       "      <td>Double Indemnity</td>\n",
       "      <td>1944</td>\n",
       "      <td>107</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>8.3</td>\n",
       "      <td>166528</td>\n",
       "      <td>nm0000697</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.034155</td>\n",
       "      <td>-0.050874</td>\n",
       "      <td>0.025057</td>\n",
       "      <td>-0.019927</td>\n",
       "      <td>-0.053960</td>\n",
       "      <td>0.074698</td>\n",
       "      <td>0.040350</td>\n",
       "      <td>0.035982</td>\n",
       "      <td>0.022969</td>\n",
       "      <td>-0.042396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9550</th>\n",
       "      <td>tt0033802</td>\n",
       "      <td>Ladies in Retirement</td>\n",
       "      <td>Ladies in Retirement</td>\n",
       "      <td>1941</td>\n",
       "      <td>91</td>\n",
       "      <td>Crime,Drama,Film-Noir</td>\n",
       "      <td>7.1</td>\n",
       "      <td>1791</td>\n",
       "      <td>nm0896533</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.027494</td>\n",
       "      <td>-0.006996</td>\n",
       "      <td>-0.005744</td>\n",
       "      <td>-0.027898</td>\n",
       "      <td>0.029442</td>\n",
       "      <td>0.071543</td>\n",
       "      <td>-0.056843</td>\n",
       "      <td>-0.040984</td>\n",
       "      <td>0.083724</td>\n",
       "      <td>-0.039642</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31 rows × 396 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         tconst                       primaryTitle  \\\n",
       "4826  tt3471440                           E-Motion   \n",
       "4830  tt3469420                         Love Child   \n",
       "9392  tt0052311                      Touch of Evil   \n",
       "9415  tt0050670                The Mailbag Robbery   \n",
       "9432  tt0051207                      The Wrong Man   \n",
       "9442  tt0049414                A Kiss Before Dying   \n",
       "9445  tt0048996               Behind the High Wall   \n",
       "9446  tt0049291               The Harder They Fall   \n",
       "9449  tt0048790                   Violent Saturday   \n",
       "9463  tt0048254                      Killer's Kiss   \n",
       "9473  tt0047067                          Heat Wave   \n",
       "9491  tt0045205                        Sudden Fear   \n",
       "9492  tt0045267                  The Turning Point   \n",
       "9493  tt0043465                    Detective Story   \n",
       "9499  tt0044079               Strangers on a Train   \n",
       "9503  tt0042788                 Night and the City   \n",
       "9504  tt0043014                       Sunset Blvd.   \n",
       "9510  tt0041268                        Criss Cross   \n",
       "9511  tt0041959                      The Third Man   \n",
       "9518  tt0040872                 They Live by Night   \n",
       "9520  tt0040512        Kiss the Blood Off My Hands   \n",
       "9521  tt0039973                            The Web   \n",
       "9524  tt0039536                      Kiss of Death   \n",
       "9525  tt0039302                       Dark Passage   \n",
       "9526  tt0039224                        Brute Force   \n",
       "9527  tt0038669                        The Killers   \n",
       "9529  tt0038559                              Gilda   \n",
       "9530  tt0038965             Somewhere in the Night   \n",
       "9532  tt0038123  The Strange Affair of Uncle Harry   \n",
       "9538  tt0036775                   Double Indemnity   \n",
       "9550  tt0033802               Ladies in Retirement   \n",
       "\n",
       "                          originalTitle  startYear  runtimeMinutes  \\\n",
       "4826                           E-Motion       2014              87   \n",
       "4830                         Love Child       2014              75   \n",
       "9392                      Touch of Evil       1958              95   \n",
       "9415                    The Flying Scot       1957              70   \n",
       "9432                      The Wrong Man       1956             105   \n",
       "9442                A Kiss Before Dying       1956              94   \n",
       "9445               Behind the High Wall       1956              85   \n",
       "9446               The Harder They Fall       1956             109   \n",
       "9449                   Violent Saturday       1955              90   \n",
       "9463                      Killer's Kiss       1955              67   \n",
       "9473          The House Across the Lake       1954              68   \n",
       "9491                        Sudden Fear       1952             110   \n",
       "9492                  The Turning Point       1952              85   \n",
       "9493                    Detective Story       1951             103   \n",
       "9499               Strangers on a Train       1951             101   \n",
       "9503                 Night and the City       1950             101   \n",
       "9504                       Sunset Blvd.       1950             110   \n",
       "9510                        Criss Cross       1949              84   \n",
       "9511                      The Third Man       1949             104   \n",
       "9518                 They Live by Night       1948              95   \n",
       "9520        Kiss the Blood Off My Hands       1948              79   \n",
       "9521                            The Web       1947              87   \n",
       "9524                      Kiss of Death       1947              99   \n",
       "9525                       Dark Passage       1947             106   \n",
       "9526                        Brute Force       1947              98   \n",
       "9527                        The Killers       1946             103   \n",
       "9529                              Gilda       1946             110   \n",
       "9530             Somewhere in the Night       1946             110   \n",
       "9532  The Strange Affair of Uncle Harry       1945              80   \n",
       "9538                   Double Indemnity       1944             107   \n",
       "9550               Ladies in Retirement       1941              91   \n",
       "\n",
       "                          genres  averageRating  numVotes  directors  \\\n",
       "4826            Documentary,News            7.6       302  nm1206378   \n",
       "4830      Crime,Documentary,News            5.6       335  nm4221988   \n",
       "9392       Crime,Drama,Film-Noir            8.0    109377  nm0000080   \n",
       "9415       Crime,Drama,Film-Noir            6.2       387  nm0071682   \n",
       "9432             Drama,Film-Noir            7.4     31154  nm0000033   \n",
       "9442     Crime,Film-Noir,Mystery            6.7      4286  nm0652631   \n",
       "9445       Crime,Drama,Film-Noir            6.4       233  nm0080867   \n",
       "9446       Drama,Film-Noir,Sport            7.5      8969  nm0733476   \n",
       "9449       Crime,Drama,Film-Noir            6.9      2841  nm0281507   \n",
       "9463       Crime,Drama,Film-Noir            6.6     25837  nm0000040   \n",
       "9473       Crime,Drama,Film-Noir            6.0       781  nm0400731   \n",
       "9491          Film-Noir,Thriller            7.5      7268  nm0588183   \n",
       "9492       Crime,Drama,Film-Noir            6.8      1760  nm0226189   \n",
       "9493       Crime,Drama,Film-Noir            7.5      9422  nm0943758   \n",
       "9499       Crime,Drama,Film-Noir            7.9    140417  nm0000033   \n",
       "9503     Crime,Film-Noir,Mystery            7.9     15135  nm0202088   \n",
       "9504             Drama,Film-Noir            8.4    235056  nm0000697   \n",
       "9510       Crime,Drama,Film-Noir            7.4      9549  nm0802563   \n",
       "9511  Film-Noir,Mystery,Thriller            8.1    180846  nm0715346   \n",
       "9518     Crime,Film-Noir,Romance            7.4      9295  nm0712947   \n",
       "9520       Crime,Drama,Film-Noir            6.7      2065  nm0287988   \n",
       "9521       Crime,Drama,Film-Noir            7.1      1445  nm0330456   \n",
       "9524       Crime,Drama,Film-Noir            7.4      9495  nm0368871   \n",
       "9525          Film-Noir,Thriller            7.5     21816  nm0202681   \n",
       "9526       Crime,Drama,Film-Noir            7.6     11454  nm0202088   \n",
       "9527       Crime,Drama,Film-Noir            7.7     23461  nm0802563   \n",
       "9529     Drama,Film-Noir,Romance            7.6     35008  nm0896533   \n",
       "9530       Crime,Drama,Film-Noir            7.0      3497  nm0000581   \n",
       "9532             Drama,Film-Noir            6.7      1971  nm0802563   \n",
       "9538       Crime,Drama,Film-Noir            8.3    166528  nm0000697   \n",
       "9550       Crime,Drama,Film-Noir            7.1      1791  nm0896533   \n",
       "\n",
       "      ordering  ... embedding_374 embedding_375  embedding_376  embedding_377  \\\n",
       "4826         3  ...      0.125051     -0.022959      -0.029818       0.091227   \n",
       "4830         1  ...      0.080228     -0.082785       0.091316       0.063355   \n",
       "9392         1  ...      0.067564      0.029153       0.018452      -0.035079   \n",
       "9415         1  ...      0.109768     -0.071683      -0.012507       0.026528   \n",
       "9432         1  ...      0.028652     -0.038588       0.011049      -0.036626   \n",
       "9442         1  ...     -0.069638     -0.038453      -0.070011       0.091310   \n",
       "9445         1  ...      0.052460     -0.075424      -0.038639       0.078376   \n",
       "9446         1  ...      0.002972      0.020846       0.040688      -0.039232   \n",
       "9449         1  ...      0.115942      0.004066      -0.015127       0.047511   \n",
       "9463         1  ...     -0.035004     -0.029222      -0.039978      -0.013641   \n",
       "9473         1  ...     -0.007325     -0.090354      -0.037285       0.017512   \n",
       "9491         1  ...     -0.002828     -0.054532      -0.042839       0.004291   \n",
       "9492         1  ...      0.034464     -0.015007       0.041039       0.056789   \n",
       "9493         1  ...     -0.055651     -0.004964      -0.013211       0.011028   \n",
       "9499         1  ...      0.018375     -0.071796      -0.040570       0.071002   \n",
       "9503         1  ...      0.058415     -0.067939      -0.090879       0.044830   \n",
       "9504         1  ...     -0.037466     -0.008365      -0.043904       0.081952   \n",
       "9510         1  ...     -0.018733     -0.108088      -0.015734      -0.027862   \n",
       "9511         1  ...      0.056207     -0.054417      -0.042118       0.124812   \n",
       "9518         1  ...     -0.005052     -0.060690      -0.044706       0.043712   \n",
       "9520         1  ...      0.040905     -0.068943       0.015878       0.036356   \n",
       "9521         1  ...     -0.000883      0.008211      -0.011479       0.017547   \n",
       "9524         1  ...      0.024264     -0.059431      -0.000007       0.064504   \n",
       "9525         1  ...      0.094926     -0.048087      -0.027291       0.014444   \n",
       "9526         1  ...      0.074461     -0.021760      -0.004540       0.007185   \n",
       "9527         1  ...      0.004011     -0.107586       0.017660       0.010581   \n",
       "9529         1  ...     -0.060965     -0.110832       0.005986       0.038128   \n",
       "9530         1  ...      0.048875     -0.042994       0.022831       0.022163   \n",
       "9532         1  ...     -0.025831     -0.146805      -0.088317       0.051643   \n",
       "9538         1  ...      0.034155     -0.050874       0.025057      -0.019927   \n",
       "9550         1  ...      0.027494     -0.006996      -0.005744      -0.027898   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "4826      -0.037645       0.030883       0.109524      -0.003499   \n",
       "4830      -0.083068       0.061147       0.123766       0.013819   \n",
       "9392       0.004974      -0.083710       0.014997       0.055276   \n",
       "9415       0.007580      -0.084126       0.053284       0.021968   \n",
       "9432       0.008034      -0.083618      -0.010253      -0.012276   \n",
       "9442      -0.000090       0.012787       0.062581      -0.027535   \n",
       "9445       0.034029      -0.026609      -0.060707       0.057671   \n",
       "9446      -0.052813       0.029451      -0.078314      -0.040211   \n",
       "9449       0.049728      -0.025179       0.034710      -0.002981   \n",
       "9463       0.006667      -0.041826      -0.069180      -0.017315   \n",
       "9473      -0.018742       0.002169       0.035247      -0.046676   \n",
       "9491      -0.103923      -0.001195      -0.060316      -0.046500   \n",
       "9492      -0.022179      -0.090206       0.050489       0.000477   \n",
       "9493      -0.047989      -0.043124      -0.067585       0.030629   \n",
       "9499      -0.103937      -0.007142       0.093201       0.006865   \n",
       "9503      -0.019451      -0.058009       0.014627      -0.036129   \n",
       "9504      -0.029023      -0.031339      -0.007844       0.026552   \n",
       "9510       0.005689       0.007388      -0.062803       0.034661   \n",
       "9511      -0.043057      -0.010360       0.033549      -0.017550   \n",
       "9518       0.013578      -0.000834       0.009970       0.008530   \n",
       "9520      -0.056380      -0.032879      -0.020841      -0.053663   \n",
       "9521      -0.085628       0.109249       0.026454      -0.091216   \n",
       "9524      -0.168330       0.072592       0.046505      -0.006850   \n",
       "9525      -0.085732      -0.041241       0.032752       0.063853   \n",
       "9526      -0.097198      -0.013047      -0.066439      -0.040590   \n",
       "9527      -0.013279      -0.013627       0.117459       0.011322   \n",
       "9529      -0.011845      -0.018983      -0.007298      -0.073946   \n",
       "9530      -0.060681       0.051634       0.023364       0.010467   \n",
       "9532       0.027649       0.027150      -0.013131       0.056418   \n",
       "9538      -0.053960       0.074698       0.040350       0.035982   \n",
       "9550       0.029442       0.071543      -0.056843      -0.040984   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "4826      -0.021806      -0.021991  \n",
       "4830       0.019019       0.029078  \n",
       "9392       0.014799      -0.047192  \n",
       "9415      -0.072354      -0.057901  \n",
       "9432       0.005349       0.002277  \n",
       "9442       0.008695      -0.010192  \n",
       "9445       0.049130      -0.047591  \n",
       "9446       0.017097      -0.028685  \n",
       "9449       0.025141      -0.029910  \n",
       "9463       0.073187      -0.005142  \n",
       "9473       0.039074      -0.019848  \n",
       "9491      -0.008804       0.022012  \n",
       "9492       0.062363      -0.000753  \n",
       "9493      -0.036792       0.020181  \n",
       "9499       0.042317      -0.031927  \n",
       "9503       0.028408      -0.043514  \n",
       "9504       0.069004      -0.024830  \n",
       "9510       0.008101       0.013999  \n",
       "9511       0.040008       0.067845  \n",
       "9518       0.116878       0.005930  \n",
       "9520       0.057888      -0.023994  \n",
       "9521       0.019188       0.076815  \n",
       "9524       0.030329      -0.047395  \n",
       "9525       0.134268      -0.025165  \n",
       "9526       0.035055      -0.107717  \n",
       "9527       0.019649       0.013806  \n",
       "9529       0.006728      -0.028628  \n",
       "9530      -0.024763      -0.053175  \n",
       "9532       0.044797      -0.092389  \n",
       "9538       0.022969      -0.042396  \n",
       "9550       0.083724      -0.039642  \n",
       "\n",
       "[31 rows x 396 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_metadata_with_overview[final_metadata_with_overview['genres'].str.contains('Adult|News|Noir')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adult, News, \\N, Noir 장르 제거"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>startYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "      <th>directors</th>\n",
       "      <th>ordering</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt31015344</td>\n",
       "      <td>A Traveler's Needs</td>\n",
       "      <td>Yeohaengjaui Pilyo</td>\n",
       "      <td>2024</td>\n",
       "      <td>90</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6.5</td>\n",
       "      <td>75</td>\n",
       "      <td>nm0393254</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016458</td>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.050298</td>\n",
       "      <td>0.037739</td>\n",
       "      <td>-0.076090</td>\n",
       "      <td>-0.010432</td>\n",
       "      <td>-0.058701</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>0.035267</td>\n",
       "      <td>-0.023228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt30911335</td>\n",
       "      <td>Dog Days</td>\n",
       "      <td>Dogeudeijeu</td>\n",
       "      <td>2024</td>\n",
       "      <td>120</td>\n",
       "      <td>Drama</td>\n",
       "      <td>7.8</td>\n",
       "      <td>31</td>\n",
       "      <td>nm15730187</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034701</td>\n",
       "      <td>-0.008065</td>\n",
       "      <td>-0.024117</td>\n",
       "      <td>-0.003312</td>\n",
       "      <td>0.038821</td>\n",
       "      <td>-0.030186</td>\n",
       "      <td>0.019926</td>\n",
       "      <td>0.074339</td>\n",
       "      <td>-0.018989</td>\n",
       "      <td>0.055851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt9682428</td>\n",
       "      <td>Night Swim</td>\n",
       "      <td>Night Swim</td>\n",
       "      <td>2024</td>\n",
       "      <td>98</td>\n",
       "      <td>Horror,Thriller</td>\n",
       "      <td>4.7</td>\n",
       "      <td>12654</td>\n",
       "      <td>nm3241399</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>-0.049932</td>\n",
       "      <td>-0.121888</td>\n",
       "      <td>-0.054388</td>\n",
       "      <td>-0.020564</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>0.021484</td>\n",
       "      <td>0.052849</td>\n",
       "      <td>0.035944</td>\n",
       "      <td>0.025606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt27802490</td>\n",
       "      <td>Exhuma</td>\n",
       "      <td>Pamyo</td>\n",
       "      <td>2024</td>\n",
       "      <td>134</td>\n",
       "      <td>Horror,Mystery,Thriller</td>\n",
       "      <td>7.4</td>\n",
       "      <td>495</td>\n",
       "      <td>nm6940206</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051392</td>\n",
       "      <td>-0.002096</td>\n",
       "      <td>0.044035</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.044593</td>\n",
       "      <td>-0.032423</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.020807</td>\n",
       "      <td>0.021268</td>\n",
       "      <td>0.008938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt27811040</td>\n",
       "      <td>The Roundup: Punishment</td>\n",
       "      <td>Beomjoedosi4</td>\n",
       "      <td>2024</td>\n",
       "      <td>109</td>\n",
       "      <td>Action,Crime,Thriller</td>\n",
       "      <td>8.8</td>\n",
       "      <td>101</td>\n",
       "      <td>nm2441168</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041042</td>\n",
       "      <td>-0.039577</td>\n",
       "      <td>0.034051</td>\n",
       "      <td>0.041895</td>\n",
       "      <td>-0.132000</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.089292</td>\n",
       "      <td>-0.132800</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.006363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9600</th>\n",
       "      <td>tt0017409</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>1926</td>\n",
       "      <td>60</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>7.1</td>\n",
       "      <td>746</td>\n",
       "      <td>nm0523932</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9601</th>\n",
       "      <td>tt0015064</td>\n",
       "      <td>The Last Laugh</td>\n",
       "      <td>Der letzte Mann</td>\n",
       "      <td>1924</td>\n",
       "      <td>88</td>\n",
       "      <td>Drama</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15105</td>\n",
       "      <td>nm0003638</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029271</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
       "      <td>-0.038684</td>\n",
       "      <td>-0.013877</td>\n",
       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9602</th>\n",
       "      <td>tt0014624</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>1923</td>\n",
       "      <td>82</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6104</td>\n",
       "      <td>nm0000122</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018064</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9603</th>\n",
       "      <td>tt0012806</td>\n",
       "      <td>Four Around the Woman</td>\n",
       "      <td>Vier um die Frau</td>\n",
       "      <td>1921</td>\n",
       "      <td>52</td>\n",
       "      <td>Drama</td>\n",
       "      <td>5.9</td>\n",
       "      <td>581</td>\n",
       "      <td>nm0000485</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047176</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9604</th>\n",
       "      <td>tt0011841</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>1920</td>\n",
       "      <td>145</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5863</td>\n",
       "      <td>nm0000428</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026308</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 396 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          tconst                       primaryTitle  \\\n",
       "0     tt31015344                 A Traveler's Needs   \n",
       "1     tt30911335                           Dog Days   \n",
       "2      tt9682428                         Night Swim   \n",
       "3     tt27802490                             Exhuma   \n",
       "4     tt27811040            The Roundup: Punishment   \n",
       "...          ...                                ...   \n",
       "9600   tt0017409                   So This Is Paris   \n",
       "9601   tt0015064                     The Last Laugh   \n",
       "9602   tt0014624  A Woman of Paris: A Drama of Fate   \n",
       "9603   tt0012806              Four Around the Woman   \n",
       "9604   tt0011841                      Way Down East   \n",
       "\n",
       "                          originalTitle  startYear  runtimeMinutes  \\\n",
       "0                    Yeohaengjaui Pilyo       2024              90   \n",
       "1                           Dogeudeijeu       2024             120   \n",
       "2                            Night Swim       2024              98   \n",
       "3                                 Pamyo       2024             134   \n",
       "4                          Beomjoedosi4       2024             109   \n",
       "...                                 ...        ...             ...   \n",
       "9600                   So This Is Paris       1926              60   \n",
       "9601                    Der letzte Mann       1924              88   \n",
       "9602  A Woman of Paris: A Drama of Fate       1923              82   \n",
       "9603                   Vier um die Frau       1921              52   \n",
       "9604                      Way Down East       1920             145   \n",
       "\n",
       "                       genres  averageRating  numVotes   directors  ordering  \\\n",
       "0                       Drama            6.5        75   nm0393254         1   \n",
       "1                       Drama            7.8        31  nm15730187         1   \n",
       "2             Horror,Thriller            4.7     12654   nm3241399         1   \n",
       "3     Horror,Mystery,Thriller            7.4       495   nm6940206         1   \n",
       "4       Action,Crime,Thriller            8.8       101   nm2441168        10   \n",
       "...                       ...            ...       ...         ...       ...   \n",
       "9600                   Comedy            7.1       746   nm0523932         1   \n",
       "9601                    Drama            8.0     15105   nm0003638         1   \n",
       "9602            Drama,Romance            6.9      6104   nm0000122        10   \n",
       "9603                    Drama            5.9       581   nm0000485         1   \n",
       "9604            Drama,Romance            7.3      5863   nm0000428         1   \n",
       "\n",
       "      ... embedding_374 embedding_375  embedding_376  embedding_377  \\\n",
       "0     ...      0.016458     -0.023006      -0.050298       0.037739   \n",
       "1     ...     -0.034701     -0.008065      -0.024117      -0.003312   \n",
       "2     ...      0.003738     -0.049932      -0.121888      -0.054388   \n",
       "3     ...      0.051392     -0.002096       0.044035       0.059909   \n",
       "4     ...      0.041042     -0.039577       0.034051       0.041895   \n",
       "...   ...           ...           ...            ...            ...   \n",
       "9600  ...     -0.052198     -0.056215      -0.065513       0.068392   \n",
       "9601  ...      0.029271     -0.052846       0.032112       0.051352   \n",
       "9602  ...      0.018064     -0.050176      -0.045593       0.036943   \n",
       "9603  ...     -0.047176     -0.100745       0.056739       0.063528   \n",
       "9604  ...      0.026308     -0.031079       0.015309       0.108602   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "0         -0.076090      -0.010432      -0.058701       0.017649   \n",
       "1          0.038821      -0.030186       0.019926       0.074339   \n",
       "2         -0.020564       0.050116       0.021484       0.052849   \n",
       "3         -0.044593      -0.032423       0.081002       0.020807   \n",
       "4         -0.132000      -0.051895       0.089292      -0.132800   \n",
       "...             ...            ...            ...            ...   \n",
       "9600       0.040504      -0.013506      -0.068042       0.001189   \n",
       "9601      -0.038684      -0.013877       0.074433      -0.020061   \n",
       "9602      -0.046362      -0.033189      -0.061279      -0.036766   \n",
       "9603      -0.031887      -0.028223      -0.002628      -0.041470   \n",
       "9604      -0.053923       0.095502       0.000965      -0.005393   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "0          0.035267      -0.023228  \n",
       "1         -0.018989       0.055851  \n",
       "2          0.035944       0.025606  \n",
       "3          0.021268       0.008938  \n",
       "4         -0.011520      -0.006363  \n",
       "...             ...            ...  \n",
       "9600      -0.021429      -0.103460  \n",
       "9601      -0.008468       0.026134  \n",
       "9602       0.073398      -0.105024  \n",
       "9603       0.026425       0.023838  \n",
       "9604      -0.005323      -0.025500  \n",
       "\n",
       "[9525 rows x 396 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Adult, News, \\N, Noir 장르 제거\n",
    "final_metadata_with_overview = final_metadata_with_overview[~final_metadata_with_overview['genres'].str.contains('Adult|News|Noir')]\n",
    "final_metadata_with_overview = final_metadata_with_overview[~(final_metadata_with_overview['genres'] == '\\\\N')]\n",
    "final_metadata_with_overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>startYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "      <th>directors</th>\n",
       "      <th>ordering</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt31015344</td>\n",
       "      <td>A Traveler's Needs</td>\n",
       "      <td>Yeohaengjaui Pilyo</td>\n",
       "      <td>2024</td>\n",
       "      <td>90</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6.5</td>\n",
       "      <td>75</td>\n",
       "      <td>nm0393254</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016458</td>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.050298</td>\n",
       "      <td>0.037739</td>\n",
       "      <td>-0.076090</td>\n",
       "      <td>-0.010432</td>\n",
       "      <td>-0.058701</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>0.035267</td>\n",
       "      <td>-0.023228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt30911335</td>\n",
       "      <td>Dog Days</td>\n",
       "      <td>Dogeudeijeu</td>\n",
       "      <td>2024</td>\n",
       "      <td>120</td>\n",
       "      <td>Drama</td>\n",
       "      <td>7.8</td>\n",
       "      <td>31</td>\n",
       "      <td>nm15730187</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034701</td>\n",
       "      <td>-0.008065</td>\n",
       "      <td>-0.024117</td>\n",
       "      <td>-0.003312</td>\n",
       "      <td>0.038821</td>\n",
       "      <td>-0.030186</td>\n",
       "      <td>0.019926</td>\n",
       "      <td>0.074339</td>\n",
       "      <td>-0.018989</td>\n",
       "      <td>0.055851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt9682428</td>\n",
       "      <td>Night Swim</td>\n",
       "      <td>Night Swim</td>\n",
       "      <td>2024</td>\n",
       "      <td>98</td>\n",
       "      <td>Horror,Thriller</td>\n",
       "      <td>4.7</td>\n",
       "      <td>12654</td>\n",
       "      <td>nm3241399</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>-0.049932</td>\n",
       "      <td>-0.121888</td>\n",
       "      <td>-0.054388</td>\n",
       "      <td>-0.020564</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>0.021484</td>\n",
       "      <td>0.052849</td>\n",
       "      <td>0.035944</td>\n",
       "      <td>0.025606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt27802490</td>\n",
       "      <td>Exhuma</td>\n",
       "      <td>Pamyo</td>\n",
       "      <td>2024</td>\n",
       "      <td>134</td>\n",
       "      <td>Horror,Mystery,Thriller</td>\n",
       "      <td>7.4</td>\n",
       "      <td>495</td>\n",
       "      <td>nm6940206</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051392</td>\n",
       "      <td>-0.002096</td>\n",
       "      <td>0.044035</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.044593</td>\n",
       "      <td>-0.032423</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.020807</td>\n",
       "      <td>0.021268</td>\n",
       "      <td>0.008938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt27811040</td>\n",
       "      <td>The Roundup: Punishment</td>\n",
       "      <td>Beomjoedosi4</td>\n",
       "      <td>2024</td>\n",
       "      <td>109</td>\n",
       "      <td>Action,Crime,Thriller</td>\n",
       "      <td>8.8</td>\n",
       "      <td>101</td>\n",
       "      <td>nm2441168</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041042</td>\n",
       "      <td>-0.039577</td>\n",
       "      <td>0.034051</td>\n",
       "      <td>0.041895</td>\n",
       "      <td>-0.132000</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.089292</td>\n",
       "      <td>-0.132800</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.006363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>tt0017409</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>1926</td>\n",
       "      <td>60</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>7.1</td>\n",
       "      <td>746</td>\n",
       "      <td>nm0523932</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>tt0015064</td>\n",
       "      <td>The Last Laugh</td>\n",
       "      <td>Der letzte Mann</td>\n",
       "      <td>1924</td>\n",
       "      <td>88</td>\n",
       "      <td>Drama</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15105</td>\n",
       "      <td>nm0003638</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029271</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
       "      <td>-0.038684</td>\n",
       "      <td>-0.013877</td>\n",
       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9522</th>\n",
       "      <td>tt0014624</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>1923</td>\n",
       "      <td>82</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6104</td>\n",
       "      <td>nm0000122</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018064</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>tt0012806</td>\n",
       "      <td>Four Around the Woman</td>\n",
       "      <td>Vier um die Frau</td>\n",
       "      <td>1921</td>\n",
       "      <td>52</td>\n",
       "      <td>Drama</td>\n",
       "      <td>5.9</td>\n",
       "      <td>581</td>\n",
       "      <td>nm0000485</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047176</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>tt0011841</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>1920</td>\n",
       "      <td>145</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5863</td>\n",
       "      <td>nm0000428</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026308</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 396 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          tconst                       primaryTitle  \\\n",
       "0     tt31015344                 A Traveler's Needs   \n",
       "1     tt30911335                           Dog Days   \n",
       "2      tt9682428                         Night Swim   \n",
       "3     tt27802490                             Exhuma   \n",
       "4     tt27811040            The Roundup: Punishment   \n",
       "...          ...                                ...   \n",
       "9520   tt0017409                   So This Is Paris   \n",
       "9521   tt0015064                     The Last Laugh   \n",
       "9522   tt0014624  A Woman of Paris: A Drama of Fate   \n",
       "9523   tt0012806              Four Around the Woman   \n",
       "9524   tt0011841                      Way Down East   \n",
       "\n",
       "                          originalTitle  startYear  runtimeMinutes  \\\n",
       "0                    Yeohaengjaui Pilyo       2024              90   \n",
       "1                           Dogeudeijeu       2024             120   \n",
       "2                            Night Swim       2024              98   \n",
       "3                                 Pamyo       2024             134   \n",
       "4                          Beomjoedosi4       2024             109   \n",
       "...                                 ...        ...             ...   \n",
       "9520                   So This Is Paris       1926              60   \n",
       "9521                    Der letzte Mann       1924              88   \n",
       "9522  A Woman of Paris: A Drama of Fate       1923              82   \n",
       "9523                   Vier um die Frau       1921              52   \n",
       "9524                      Way Down East       1920             145   \n",
       "\n",
       "                       genres  averageRating  numVotes   directors  ordering  \\\n",
       "0                       Drama            6.5        75   nm0393254         1   \n",
       "1                       Drama            7.8        31  nm15730187         1   \n",
       "2             Horror,Thriller            4.7     12654   nm3241399         1   \n",
       "3     Horror,Mystery,Thriller            7.4       495   nm6940206         1   \n",
       "4       Action,Crime,Thriller            8.8       101   nm2441168        10   \n",
       "...                       ...            ...       ...         ...       ...   \n",
       "9520                   Comedy            7.1       746   nm0523932         1   \n",
       "9521                    Drama            8.0     15105   nm0003638         1   \n",
       "9522            Drama,Romance            6.9      6104   nm0000122        10   \n",
       "9523                    Drama            5.9       581   nm0000485         1   \n",
       "9524            Drama,Romance            7.3      5863   nm0000428         1   \n",
       "\n",
       "      ... embedding_374 embedding_375  embedding_376  embedding_377  \\\n",
       "0     ...      0.016458     -0.023006      -0.050298       0.037739   \n",
       "1     ...     -0.034701     -0.008065      -0.024117      -0.003312   \n",
       "2     ...      0.003738     -0.049932      -0.121888      -0.054388   \n",
       "3     ...      0.051392     -0.002096       0.044035       0.059909   \n",
       "4     ...      0.041042     -0.039577       0.034051       0.041895   \n",
       "...   ...           ...           ...            ...            ...   \n",
       "9520  ...     -0.052198     -0.056215      -0.065513       0.068392   \n",
       "9521  ...      0.029271     -0.052846       0.032112       0.051352   \n",
       "9522  ...      0.018064     -0.050176      -0.045593       0.036943   \n",
       "9523  ...     -0.047176     -0.100745       0.056739       0.063528   \n",
       "9524  ...      0.026308     -0.031079       0.015309       0.108602   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "0         -0.076090      -0.010432      -0.058701       0.017649   \n",
       "1          0.038821      -0.030186       0.019926       0.074339   \n",
       "2         -0.020564       0.050116       0.021484       0.052849   \n",
       "3         -0.044593      -0.032423       0.081002       0.020807   \n",
       "4         -0.132000      -0.051895       0.089292      -0.132800   \n",
       "...             ...            ...            ...            ...   \n",
       "9520       0.040504      -0.013506      -0.068042       0.001189   \n",
       "9521      -0.038684      -0.013877       0.074433      -0.020061   \n",
       "9522      -0.046362      -0.033189      -0.061279      -0.036766   \n",
       "9523      -0.031887      -0.028223      -0.002628      -0.041470   \n",
       "9524      -0.053923       0.095502       0.000965      -0.005393   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "0          0.035267      -0.023228  \n",
       "1         -0.018989       0.055851  \n",
       "2          0.035944       0.025606  \n",
       "3          0.021268       0.008938  \n",
       "4         -0.011520      -0.006363  \n",
       "...             ...            ...  \n",
       "9520      -0.021429      -0.103460  \n",
       "9521      -0.008468       0.026134  \n",
       "9522       0.073398      -0.105024  \n",
       "9523       0.026425       0.023838  \n",
       "9524      -0.005323      -0.025500  \n",
       "\n",
       "[9525 rows x 396 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# index 재설정\n",
    "final_metadata_with_overview.reset_index(drop=True, inplace=True)\n",
    "final_metadata_with_overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>startYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "      <th>directors</th>\n",
       "      <th>ordering</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3736</th>\n",
       "      <td>tt4912910</td>\n",
       "      <td>Mission: Impossible - Fallout</td>\n",
       "      <td>Mission: Impossible - Fallout</td>\n",
       "      <td>2018</td>\n",
       "      <td>147</td>\n",
       "      <td>Action,Adventure,Thriller</td>\n",
       "      <td>7.7</td>\n",
       "      <td>375733</td>\n",
       "      <td>nm0003160</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.095246</td>\n",
       "      <td>-0.044958</td>\n",
       "      <td>0.061965</td>\n",
       "      <td>-0.014760</td>\n",
       "      <td>0.039998</td>\n",
       "      <td>0.088129</td>\n",
       "      <td>0.054550</td>\n",
       "      <td>-0.058346</td>\n",
       "      <td>-0.042447</td>\n",
       "      <td>-0.110031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4496</th>\n",
       "      <td>tt2381249</td>\n",
       "      <td>Mission: Impossible - Rogue Nation</td>\n",
       "      <td>Mission: Impossible - Rogue Nation</td>\n",
       "      <td>2015</td>\n",
       "      <td>131</td>\n",
       "      <td>Action,Adventure,Thriller</td>\n",
       "      <td>7.4</td>\n",
       "      <td>408625</td>\n",
       "      <td>nm0003160</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.028457</td>\n",
       "      <td>-0.039570</td>\n",
       "      <td>-0.008945</td>\n",
       "      <td>0.016571</td>\n",
       "      <td>0.010814</td>\n",
       "      <td>0.078261</td>\n",
       "      <td>0.124190</td>\n",
       "      <td>-0.033679</td>\n",
       "      <td>0.027738</td>\n",
       "      <td>-0.058530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5441</th>\n",
       "      <td>tt1229238</td>\n",
       "      <td>Mission: Impossible - Ghost Protocol</td>\n",
       "      <td>Mission: Impossible - Ghost Protocol</td>\n",
       "      <td>2011</td>\n",
       "      <td>132</td>\n",
       "      <td>Action,Adventure,Thriller</td>\n",
       "      <td>7.4</td>\n",
       "      <td>526191</td>\n",
       "      <td>nm0083348</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015136</td>\n",
       "      <td>-0.049057</td>\n",
       "      <td>-0.031477</td>\n",
       "      <td>-0.091023</td>\n",
       "      <td>0.004308</td>\n",
       "      <td>0.003130</td>\n",
       "      <td>0.074364</td>\n",
       "      <td>-0.099151</td>\n",
       "      <td>-0.008581</td>\n",
       "      <td>-0.027383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6397</th>\n",
       "      <td>tt0317919</td>\n",
       "      <td>Mission: Impossible III</td>\n",
       "      <td>Mission: Impossible III</td>\n",
       "      <td>2006</td>\n",
       "      <td>126</td>\n",
       "      <td>Action,Adventure,Thriller</td>\n",
       "      <td>6.9</td>\n",
       "      <td>388797</td>\n",
       "      <td>nm0009190</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008959</td>\n",
       "      <td>-0.044120</td>\n",
       "      <td>0.010167</td>\n",
       "      <td>-0.051467</td>\n",
       "      <td>-0.066607</td>\n",
       "      <td>0.065280</td>\n",
       "      <td>0.052810</td>\n",
       "      <td>-0.067276</td>\n",
       "      <td>0.026346</td>\n",
       "      <td>-0.014598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7185</th>\n",
       "      <td>tt0120755</td>\n",
       "      <td>Mission: Impossible II</td>\n",
       "      <td>Mission: Impossible II</td>\n",
       "      <td>2000</td>\n",
       "      <td>123</td>\n",
       "      <td>Action,Adventure,Thriller</td>\n",
       "      <td>6.1</td>\n",
       "      <td>375780</td>\n",
       "      <td>nm0000247</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.066956</td>\n",
       "      <td>-0.044484</td>\n",
       "      <td>0.033002</td>\n",
       "      <td>-0.127914</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.013540</td>\n",
       "      <td>0.057909</td>\n",
       "      <td>-0.100517</td>\n",
       "      <td>0.020725</td>\n",
       "      <td>-0.046880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7587</th>\n",
       "      <td>tt0117060</td>\n",
       "      <td>Mission: Impossible</td>\n",
       "      <td>Mission: Impossible</td>\n",
       "      <td>1996</td>\n",
       "      <td>110</td>\n",
       "      <td>Action,Adventure,Thriller</td>\n",
       "      <td>7.2</td>\n",
       "      <td>467842</td>\n",
       "      <td>nm0000361</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.067086</td>\n",
       "      <td>0.000283</td>\n",
       "      <td>-0.007860</td>\n",
       "      <td>-0.046716</td>\n",
       "      <td>-0.030957</td>\n",
       "      <td>0.039837</td>\n",
       "      <td>0.061269</td>\n",
       "      <td>-0.015569</td>\n",
       "      <td>0.018906</td>\n",
       "      <td>-0.082778</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 396 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         tconst                          primaryTitle  \\\n",
       "3736  tt4912910         Mission: Impossible - Fallout   \n",
       "4496  tt2381249    Mission: Impossible - Rogue Nation   \n",
       "5441  tt1229238  Mission: Impossible - Ghost Protocol   \n",
       "6397  tt0317919               Mission: Impossible III   \n",
       "7185  tt0120755                Mission: Impossible II   \n",
       "7587  tt0117060                   Mission: Impossible   \n",
       "\n",
       "                             originalTitle  startYear  runtimeMinutes  \\\n",
       "3736         Mission: Impossible - Fallout       2018             147   \n",
       "4496    Mission: Impossible - Rogue Nation       2015             131   \n",
       "5441  Mission: Impossible - Ghost Protocol       2011             132   \n",
       "6397               Mission: Impossible III       2006             126   \n",
       "7185                Mission: Impossible II       2000             123   \n",
       "7587                   Mission: Impossible       1996             110   \n",
       "\n",
       "                         genres  averageRating  numVotes  directors  ordering  \\\n",
       "3736  Action,Adventure,Thriller            7.7    375733  nm0003160         1   \n",
       "4496  Action,Adventure,Thriller            7.4    408625  nm0003160         1   \n",
       "5441  Action,Adventure,Thriller            7.4    526191  nm0083348         1   \n",
       "6397  Action,Adventure,Thriller            6.9    388797  nm0009190         1   \n",
       "7185  Action,Adventure,Thriller            6.1    375780  nm0000247         1   \n",
       "7587  Action,Adventure,Thriller            7.2    467842  nm0000361         1   \n",
       "\n",
       "      ... embedding_374 embedding_375  embedding_376  embedding_377  \\\n",
       "3736  ...      0.095246     -0.044958       0.061965      -0.014760   \n",
       "4496  ...      0.028457     -0.039570      -0.008945       0.016571   \n",
       "5441  ...      0.015136     -0.049057      -0.031477      -0.091023   \n",
       "6397  ...      0.008959     -0.044120       0.010167      -0.051467   \n",
       "7185  ...      0.066956     -0.044484       0.033002      -0.127914   \n",
       "7587  ...      0.067086      0.000283      -0.007860      -0.046716   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "3736       0.039998       0.088129       0.054550      -0.058346   \n",
       "4496       0.010814       0.078261       0.124190      -0.033679   \n",
       "5441       0.004308       0.003130       0.074364      -0.099151   \n",
       "6397      -0.066607       0.065280       0.052810      -0.067276   \n",
       "7185       0.004792       0.013540       0.057909      -0.100517   \n",
       "7587      -0.030957       0.039837       0.061269      -0.015569   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "3736      -0.042447      -0.110031  \n",
       "4496       0.027738      -0.058530  \n",
       "5441      -0.008581      -0.027383  \n",
       "6397       0.026346      -0.014598  \n",
       "7185       0.020725      -0.046880  \n",
       "7587       0.018906      -0.082778  \n",
       "\n",
       "[6 rows x 396 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# title에 Mission: Impossible가 포함되는 데이터 출력\n",
    "final_metadata_with_overview[final_metadata_with_overview['primaryTitle'].str.contains('Mission: Impossible')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9605 entries, 0 to 9604\n",
      "Data columns (total 12 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   tconst          9605 non-null   object \n",
      " 1   primaryTitle    9605 non-null   object \n",
      " 2   originalTitle   9605 non-null   object \n",
      " 3   startYear       9605 non-null   int64  \n",
      " 4   runtimeMinutes  9605 non-null   int64  \n",
      " 5   genres          9605 non-null   object \n",
      " 6   averageRating   9605 non-null   float64\n",
      " 7   numVotes        9605 non-null   int64  \n",
      " 8   directors       9605 non-null   object \n",
      " 9   ordering        9605 non-null   int64  \n",
      " 10  actors          9605 non-null   object \n",
      " 11  overview        9605 non-null   object \n",
      "dtypes: float64(1), int64(4), object(7)\n",
      "memory usage: 900.6+ KB\n"
     ]
    }
   ],
   "source": [
    "final_metadata_with_overview.iloc[:,:-384].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0.053611</td>\n",
       "      <td>0.030748</td>\n",
       "      <td>0.013544</td>\n",
       "      <td>0.028924</td>\n",
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       "      <td>0.016458</td>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.050298</td>\n",
       "      <td>0.037739</td>\n",
       "      <td>-0.076090</td>\n",
       "      <td>-0.010432</td>\n",
       "      <td>-0.058701</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>0.035267</td>\n",
       "      <td>-0.023228</td>\n",
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       "      <th>1</th>\n",
       "      <td>0.000512</td>\n",
       "      <td>0.051461</td>\n",
       "      <td>0.047161</td>\n",
       "      <td>0.085658</td>\n",
       "      <td>-0.048483</td>\n",
       "      <td>0.002269</td>\n",
       "      <td>-0.012865</td>\n",
       "      <td>-0.063385</td>\n",
       "      <td>0.094378</td>\n",
       "      <td>-0.048332</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034701</td>\n",
       "      <td>-0.008065</td>\n",
       "      <td>-0.024117</td>\n",
       "      <td>-0.003312</td>\n",
       "      <td>0.038821</td>\n",
       "      <td>-0.030186</td>\n",
       "      <td>0.019926</td>\n",
       "      <td>0.074339</td>\n",
       "      <td>-0.018989</td>\n",
       "      <td>0.055851</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.007790</td>\n",
       "      <td>0.000841</td>\n",
       "      <td>-0.071738</td>\n",
       "      <td>-0.024823</td>\n",
       "      <td>0.047090</td>\n",
       "      <td>-0.004854</td>\n",
       "      <td>0.121953</td>\n",
       "      <td>-0.044701</td>\n",
       "      <td>-0.017652</td>\n",
       "      <td>-0.002489</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>-0.049932</td>\n",
       "      <td>-0.121888</td>\n",
       "      <td>-0.054388</td>\n",
       "      <td>-0.020564</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>0.021484</td>\n",
       "      <td>0.052849</td>\n",
       "      <td>0.035944</td>\n",
       "      <td>0.025606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.071939</td>\n",
       "      <td>0.033576</td>\n",
       "      <td>0.000580</td>\n",
       "      <td>0.027234</td>\n",
       "      <td>0.008778</td>\n",
       "      <td>-0.042848</td>\n",
       "      <td>-0.019635</td>\n",
       "      <td>-0.067138</td>\n",
       "      <td>0.043785</td>\n",
       "      <td>-0.036617</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051392</td>\n",
       "      <td>-0.002096</td>\n",
       "      <td>0.044035</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.044593</td>\n",
       "      <td>-0.032423</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.020807</td>\n",
       "      <td>0.021268</td>\n",
       "      <td>0.008938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.114945</td>\n",
       "      <td>0.066293</td>\n",
       "      <td>-0.057027</td>\n",
       "      <td>-0.014922</td>\n",
       "      <td>-0.038539</td>\n",
       "      <td>0.051438</td>\n",
       "      <td>0.084544</td>\n",
       "      <td>-0.016301</td>\n",
       "      <td>-0.007758</td>\n",
       "      <td>0.026670</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041042</td>\n",
       "      <td>-0.039577</td>\n",
       "      <td>0.034051</td>\n",
       "      <td>0.041895</td>\n",
       "      <td>-0.132000</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.089292</td>\n",
       "      <td>-0.132800</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.006363</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>9600</th>\n",
       "      <td>-0.055011</td>\n",
       "      <td>-0.074595</td>\n",
       "      <td>0.001815</td>\n",
       "      <td>-0.038516</td>\n",
       "      <td>-0.074756</td>\n",
       "      <td>0.052812</td>\n",
       "      <td>0.041358</td>\n",
       "      <td>-0.064872</td>\n",
       "      <td>0.085917</td>\n",
       "      <td>-0.005419</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9601</th>\n",
       "      <td>0.080072</td>\n",
       "      <td>0.084541</td>\n",
       "      <td>0.012166</td>\n",
       "      <td>0.026970</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>-0.001980</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>-0.129143</td>\n",
       "      <td>-0.124479</td>\n",
       "      <td>-0.002060</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029271</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
       "      <td>-0.038684</td>\n",
       "      <td>-0.013877</td>\n",
       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
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       "    <tr>\n",
       "      <th>9602</th>\n",
       "      <td>-0.038122</td>\n",
       "      <td>-0.025018</td>\n",
       "      <td>0.113269</td>\n",
       "      <td>-0.004511</td>\n",
       "      <td>0.062075</td>\n",
       "      <td>0.055934</td>\n",
       "      <td>0.055038</td>\n",
       "      <td>-0.047805</td>\n",
       "      <td>0.043764</td>\n",
       "      <td>-0.040496</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018064</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9603</th>\n",
       "      <td>-0.012362</td>\n",
       "      <td>-0.004797</td>\n",
       "      <td>-0.024310</td>\n",
       "      <td>-0.038956</td>\n",
       "      <td>-0.078531</td>\n",
       "      <td>-0.033533</td>\n",
       "      <td>0.097009</td>\n",
       "      <td>-0.011524</td>\n",
       "      <td>-0.002285</td>\n",
       "      <td>-0.075233</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047176</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9604</th>\n",
       "      <td>-0.039963</td>\n",
       "      <td>0.055371</td>\n",
       "      <td>-0.005465</td>\n",
       "      <td>0.020404</td>\n",
       "      <td>0.010991</td>\n",
       "      <td>-0.021599</td>\n",
       "      <td>0.067804</td>\n",
       "      <td>-0.110067</td>\n",
       "      <td>-0.028278</td>\n",
       "      <td>0.077106</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026308</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9605 rows × 384 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      embedding_0  embedding_1  embedding_2  embedding_3  embedding_4  \\\n",
       "0       -0.028669    -0.043193    -0.002602     0.012412    -0.016138   \n",
       "1        0.000512     0.051461     0.047161     0.085658    -0.048483   \n",
       "2        0.007790     0.000841    -0.071738    -0.024823     0.047090   \n",
       "3       -0.071939     0.033576     0.000580     0.027234     0.008778   \n",
       "4       -0.114945     0.066293    -0.057027    -0.014922    -0.038539   \n",
       "...           ...          ...          ...          ...          ...   \n",
       "9600    -0.055011    -0.074595     0.001815    -0.038516    -0.074756   \n",
       "9601     0.080072     0.084541     0.012166     0.026970     0.019227   \n",
       "9602    -0.038122    -0.025018     0.113269    -0.004511     0.062075   \n",
       "9603    -0.012362    -0.004797    -0.024310    -0.038956    -0.078531   \n",
       "9604    -0.039963     0.055371    -0.005465     0.020404     0.010991   \n",
       "\n",
       "      embedding_5  embedding_6  embedding_7  embedding_8  embedding_9  ...  \\\n",
       "0        0.021079     0.053611     0.030748     0.013544     0.028924  ...   \n",
       "1        0.002269    -0.012865    -0.063385     0.094378    -0.048332  ...   \n",
       "2       -0.004854     0.121953    -0.044701    -0.017652    -0.002489  ...   \n",
       "3       -0.042848    -0.019635    -0.067138     0.043785    -0.036617  ...   \n",
       "4        0.051438     0.084544    -0.016301    -0.007758     0.026670  ...   \n",
       "...           ...          ...          ...          ...          ...  ...   \n",
       "9600     0.052812     0.041358    -0.064872     0.085917    -0.005419  ...   \n",
       "9601    -0.001980    -0.008999    -0.129143    -0.124479    -0.002060  ...   \n",
       "9602     0.055934     0.055038    -0.047805     0.043764    -0.040496  ...   \n",
       "9603    -0.033533     0.097009    -0.011524    -0.002285    -0.075233  ...   \n",
       "9604    -0.021599     0.067804    -0.110067    -0.028278     0.077106  ...   \n",
       "\n",
       "      embedding_374  embedding_375  embedding_376  embedding_377  \\\n",
       "0          0.016458      -0.023006      -0.050298       0.037739   \n",
       "1         -0.034701      -0.008065      -0.024117      -0.003312   \n",
       "2          0.003738      -0.049932      -0.121888      -0.054388   \n",
       "3          0.051392      -0.002096       0.044035       0.059909   \n",
       "4          0.041042      -0.039577       0.034051       0.041895   \n",
       "...             ...            ...            ...            ...   \n",
       "9600      -0.052198      -0.056215      -0.065513       0.068392   \n",
       "9601       0.029271      -0.052846       0.032112       0.051352   \n",
       "9602       0.018064      -0.050176      -0.045593       0.036943   \n",
       "9603      -0.047176      -0.100745       0.056739       0.063528   \n",
       "9604       0.026308      -0.031079       0.015309       0.108602   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "0         -0.076090      -0.010432      -0.058701       0.017649   \n",
       "1          0.038821      -0.030186       0.019926       0.074339   \n",
       "2         -0.020564       0.050116       0.021484       0.052849   \n",
       "3         -0.044593      -0.032423       0.081002       0.020807   \n",
       "4         -0.132000      -0.051895       0.089292      -0.132800   \n",
       "...             ...            ...            ...            ...   \n",
       "9600       0.040504      -0.013506      -0.068042       0.001189   \n",
       "9601      -0.038684      -0.013877       0.074433      -0.020061   \n",
       "9602      -0.046362      -0.033189      -0.061279      -0.036766   \n",
       "9603      -0.031887      -0.028223      -0.002628      -0.041470   \n",
       "9604      -0.053923       0.095502       0.000965      -0.005393   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "0          0.035267      -0.023228  \n",
       "1         -0.018989       0.055851  \n",
       "2          0.035944       0.025606  \n",
       "3          0.021268       0.008938  \n",
       "4         -0.011520      -0.006363  \n",
       "...             ...            ...  \n",
       "9600      -0.021429      -0.103460  \n",
       "9601      -0.008468       0.026134  \n",
       "9602       0.073398      -0.105024  \n",
       "9603       0.026425       0.023838  \n",
       "9604      -0.005323      -0.025500  \n",
       "\n",
       "[9605 rows x 384 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_metadata_with_overview.iloc[:, -384:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### coco, about time에 장르 추가"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3767    Adventure,Animation,Drama\n",
      "Name: genres, dtype: object\n",
      "4958    Comedy,Drama,Fantasy\n",
      "Name: genres, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(final_metadata_with_overview.loc[final_metadata_with_overview['primaryTitle'] == 'Coco', 'genres'])\n",
    "print(final_metadata_with_overview.loc[final_metadata_with_overview['primaryTitle'] == 'About Time', 'genres'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(         tconst           primaryTitle   originalTitle  startYear  \\\n",
       " 7794  tt0106332  Farewell My Concubine  Ba wang bie ji       1992   \n",
       " \n",
       "       runtimeMinutes               genres  averageRating  numVotes  directors  \\\n",
       " 7794             171  Drama,Music,Romance            8.1     32766  nm0155280   \n",
       " \n",
       "       ordering  ... embedding_374 embedding_375  embedding_376  embedding_377  \\\n",
       " 7794         1  ...     -0.016148     -0.115461        0.00301       0.088601   \n",
       " \n",
       "       embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       " 7794      -0.022021       0.043305       0.012569      -0.020391   \n",
       " \n",
       "       embedding_382  embedding_383  \n",
       " 7794      -0.014013      -0.121122  \n",
       " \n",
       " [1 rows x 396 columns],\n",
       "          tconst        primaryTitle       originalTitle  startYear  \\\n",
       " 8546  tt3141904  Feng quan dian tui  Feng quan dian tui       1979   \n",
       " \n",
       "       runtimeMinutes                   genres  averageRating  numVotes  \\\n",
       " 8546              84  Action,Adventure,Comedy            5.6        47   \n",
       " \n",
       "       directors  ordering  ... embedding_374 embedding_375  embedding_376  \\\n",
       " 8546  nm0875571        10  ...      0.074671     -0.031444       0.025431   \n",
       " \n",
       "       embedding_377  embedding_378  embedding_379  embedding_380  \\\n",
       " 8546       0.021647      -0.031531      -0.010885       0.012839   \n",
       " \n",
       "       embedding_381  embedding_382  embedding_383  \n",
       " 8546       0.030297       0.068298      -0.050608  \n",
       " \n",
       " [1 rows x 396 columns])"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_metadata_with_overview.loc[final_metadata_with_overview['primaryTitle'] == 'Farewell My Concubine'], final_metadata_with_overview.loc[final_metadata_with_overview['primaryTitle'] == 'Feng quan dian tui']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>tconst</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>startYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "      <th>directors</th>\n",
       "      <th>ordering</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3767</th>\n",
       "      <td>tt2380307</td>\n",
       "      <td>Coco</td>\n",
       "      <td>Coco</td>\n",
       "      <td>2017</td>\n",
       "      <td>105</td>\n",
       "      <td>Adventure,Animation,Drama,Family</td>\n",
       "      <td>8.4</td>\n",
       "      <td>583387</td>\n",
       "      <td>nm2937122,nm0881279</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.086090</td>\n",
       "      <td>-0.034745</td>\n",
       "      <td>-0.018117</td>\n",
       "      <td>0.103857</td>\n",
       "      <td>-0.013886</td>\n",
       "      <td>-0.000193</td>\n",
       "      <td>0.029636</td>\n",
       "      <td>-0.000009</td>\n",
       "      <td>-0.021747</td>\n",
       "      <td>-0.114162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4958</th>\n",
       "      <td>tt2194499</td>\n",
       "      <td>About Time</td>\n",
       "      <td>About Time</td>\n",
       "      <td>2013</td>\n",
       "      <td>123</td>\n",
       "      <td>Comedy,Drama,Fantasy,Romance</td>\n",
       "      <td>7.8</td>\n",
       "      <td>383008</td>\n",
       "      <td>nm0193485</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.091577</td>\n",
       "      <td>-0.045186</td>\n",
       "      <td>-0.026829</td>\n",
       "      <td>0.074108</td>\n",
       "      <td>-0.046107</td>\n",
       "      <td>-0.018766</td>\n",
       "      <td>0.040685</td>\n",
       "      <td>0.034375</td>\n",
       "      <td>0.007239</td>\n",
       "      <td>-0.055477</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 396 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         tconst primaryTitle originalTitle  startYear  runtimeMinutes  \\\n",
       "3767  tt2380307         Coco          Coco       2017             105   \n",
       "4958  tt2194499   About Time    About Time       2013             123   \n",
       "\n",
       "                                genres  averageRating  numVotes  \\\n",
       "3767  Adventure,Animation,Drama,Family            8.4    583387   \n",
       "4958      Comedy,Drama,Fantasy,Romance            7.8    383008   \n",
       "\n",
       "                directors  ordering  ... embedding_374 embedding_375  \\\n",
       "3767  nm2937122,nm0881279         1  ...      0.086090     -0.034745   \n",
       "4958            nm0193485         1  ...      0.091577     -0.045186   \n",
       "\n",
       "      embedding_376  embedding_377  embedding_378  embedding_379  \\\n",
       "3767      -0.018117       0.103857      -0.013886      -0.000193   \n",
       "4958      -0.026829       0.074108      -0.046107      -0.018766   \n",
       "\n",
       "      embedding_380  embedding_381  embedding_382  embedding_383  \n",
       "3767       0.029636      -0.000009      -0.021747      -0.114162  \n",
       "4958       0.040685       0.034375       0.007239      -0.055477  \n",
       "\n",
       "[2 rows x 396 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# coco에 Family, about time에 Romance 추가\n",
    "final_metadata_with_overview.loc[final_metadata_with_overview['primaryTitle'] == 'Coco', 'genres'] += ',Family' # loc로 접근하여 원본 데이터 수정\n",
    "final_metadata_with_overview.loc[final_metadata_with_overview['primaryTitle'] == 'About Time', 'genres'] += ',Romance'\n",
    "final_metadata_with_overview[\n",
    "    (final_metadata_with_overview['primaryTitle'] == 'Coco') |\n",
    "    (final_metadata_with_overview['primaryTitle'] == 'About Time')\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "final_metadata_with_overview = pd.read_excel('final_metadata_with_overview_embeddings_ver5_0511.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 장르 one hot encoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Action  Comedy  Crime  Drama  Horror  Mystery  Romance  Thriller\n",
      "0       0       0      0      1       0        0        0         0\n",
      "1       0       0      0      1       0        0        0         0\n",
      "2       0       0      0      0       1        0        0         1\n",
      "3       0       0      0      0       1        1        0         1\n",
      "4       1       0      1      0       0        0        0         1\n"
     ]
    }
   ],
   "source": [
    "# import pandas as pd\n",
    "\n",
    "# # 예시 데이터프레임 생성\n",
    "# data = {\n",
    "#     'genres': [\n",
    "#         'Drama',\n",
    "#         'Drama',\n",
    "#         'Horror,Thriller',\n",
    "#         'Horror,Mystery,Thriller',\n",
    "#         'Action,Crime,Thriller',\n",
    "#         'Comedy',\n",
    "#         'Drama',\n",
    "#         'Drama,Romance',\n",
    "#         'Drama',\n",
    "#         'Drama,Romance'\n",
    "#     ]\n",
    "# }\n",
    "\n",
    "# df = pd.DataFrame(data)\n",
    "\n",
    "# # 'genres'열을 ','를 기준으로 분리하여 새로운 데이터프레임 생성\n",
    "# genres_df = df['genres'].str.get_dummies(sep=',')\n",
    "\n",
    "# # 결과 확인\n",
    "# print(genres_df.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(['Action',\n",
       "  'Adventure',\n",
       "  'Animation',\n",
       "  'Biography',\n",
       "  'Comedy',\n",
       "  'Crime',\n",
       "  'Documentary',\n",
       "  'Drama',\n",
       "  'Family',\n",
       "  'Fantasy',\n",
       "  'History',\n",
       "  'Horror',\n",
       "  'Music',\n",
       "  'Musical',\n",
       "  'Mystery',\n",
       "  'Romance',\n",
       "  'Sci-Fi',\n",
       "  'Sport',\n",
       "  'Thriller',\n",
       "  'War',\n",
       "  'Western'],\n",
       " 21)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_genres_combinations = final_metadata_with_overview['genres'].unique()\n",
    "\n",
    "unique_genres = set() # 고유한 장르를 저장할 집합\n",
    "\n",
    "for combination in unique_genres_combinations:\n",
    "    genres = combination.split(',') # 장르 조합을 분리\n",
    "    unique_genres.update(genres) # 집합에 추가하여 고유한 장르만을 보존\n",
    "\n",
    "sorted(unique_genres), unique_genres.__len__()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9522</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Action  Adventure  Animation  Biography  Comedy  Crime  Documentary  \\\n",
       "0          0          0          0          0       0      0            0   \n",
       "1          0          0          0          0       0      0            0   \n",
       "2          0          0          0          0       0      0            0   \n",
       "3          0          0          0          0       0      0            0   \n",
       "4          1          0          0          0       0      1            0   \n",
       "...      ...        ...        ...        ...     ...    ...          ...   \n",
       "9520       0          0          0          0       1      0            0   \n",
       "9521       0          0          0          0       0      0            0   \n",
       "9522       0          0          0          0       0      0            0   \n",
       "9523       0          0          0          0       0      0            0   \n",
       "9524       0          0          0          0       0      0            0   \n",
       "\n",
       "      Drama  Family  Fantasy  ...  Horror  Music  Musical  Mystery  Romance  \\\n",
       "0         1       0        0  ...       0      0        0        0        0   \n",
       "1         1       0        0  ...       0      0        0        0        0   \n",
       "2         0       0        0  ...       1      0        0        0        0   \n",
       "3         0       0        0  ...       1      0        0        1        0   \n",
       "4         0       0        0  ...       0      0        0        0        0   \n",
       "...     ...     ...      ...  ...     ...    ...      ...      ...      ...   \n",
       "9520      0       0        0  ...       0      0        0        0        0   \n",
       "9521      1       0        0  ...       0      0        0        0        0   \n",
       "9522      1       0        0  ...       0      0        0        0        1   \n",
       "9523      1       0        0  ...       0      0        0        0        0   \n",
       "9524      1       0        0  ...       0      0        0        0        1   \n",
       "\n",
       "      Sci-Fi  Sport  Thriller  War  Western  \n",
       "0          0      0         0    0        0  \n",
       "1          0      0         0    0        0  \n",
       "2          0      0         1    0        0  \n",
       "3          0      0         1    0        0  \n",
       "4          0      0         1    0        0  \n",
       "...      ...    ...       ...  ...      ...  \n",
       "9520       0      0         0    0        0  \n",
       "9521       0      0         0    0        0  \n",
       "9522       0      0         0    0        0  \n",
       "9523       0      0         0    0        0  \n",
       "9524       0      0         0    0        0  \n",
       "\n",
       "[9525 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genres_one_hot_encoded = final_metadata_with_overview.genres.str.get_dummies(sep=',') #.iloc[:, :-1]\n",
    "genres_one_hot_encoded"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 감독 및 배우 one hot encoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['\\\\N', 'nm0000005', 'nm0000008', 'nm0000019', 'nm0000033', 'nm0000037', 'nm0000040', 'nm0000041', 'nm0000056', 'nm0000076', 'nm0000078', 'nm0000080', 'nm0000086', 'nm0000095', 'nm0000108', 'nm0000110', 'nm0000116', 'nm0000118', 'nm0000122', 'nm0000123', 'nm0000126', 'nm0000127', 'nm0000128', 'nm0000134', 'nm0000142', 'nm0000149', 'nm0000154', 'nm0000158', 'nm0000165', 'nm0000180', 'nm0000184', 'nm0000185', 'nm0000186', 'nm0000195', 'nm0000198', 'nm0000200', 'nm0000217', 'nm0000229', 'nm0000230', 'nm0000231', 'nm0000233', 'nm0000243', 'nm0000247', 'nm0000255', 'nm0000264', 'nm0000265', 'nm0000269', 'nm0000277', 'nm0000316', 'nm0000318', 'nm0000320', 'nm0000338', 'nm0000339', 'nm0000341', 'nm0000343', 'nm0000361', 'nm0000362', 'nm0000367', 'nm0000382', 'nm0000386', 'nm0000389', 'nm0000399', 'nm0000406', 'nm0000416', 'nm0000419', 'nm0000425', 'nm0000428', 'nm0000431', 'nm0000436', 'nm0000454', 'nm0000455', 'nm0000464', 'nm0000466', 'nm0000484', 'nm0000485', 'nm0000487', 'nm0000490', 'nm0000500', 'nm0000517', 'nm0000520', 'nm0000540', 'nm0000552', 'nm0000568', 'nm0000570', 'nm0000576', 'nm0000581', 'nm0000583', 'nm0000591', 'nm0000600', 'nm0000601', 'nm0000602', 'nm0000619', 'nm0000631', 'nm0000641', 'nm0000682', 'nm0000691', 'nm0000694', 'nm0000697', 'nm0000709', 'nm0000720', 'nm0000727', 'nm0000736', 'nm0000750', 'nm0000759', 'nm0000766', 'nm0000774', 'nm0000776', 'nm0000777', 'nm0000783', 'nm0000788', 'nm0000797', 'nm0000801', 'nm0000806', 'nm0000812', 'nm0000814', 'nm0000816', 'nm0000824', 'nm0000835', 'nm0000850', 'nm0000852', 'nm0000853', 'nm0000860', 'nm0000866', 'nm0000876', 'nm0000878', 'nm0000881', 'nm0000886', 'nm0000887', 'nm0000905', 'nm0000907', 'nm0000914', 'nm0000915', 'nm0000916', 'nm0000923', 'nm0000932', 'nm0000934', 'nm0000940', 'nm0000941', 'nm0000948', 'nm0000952', 'nm0000953', 'nm0000957', 'nm0000958', 'nm0000965', 'nm0000972', 'nm0000975', 'nm0000976', 'nm0000983', 'nm0000985', 'nm0001003', 'nm0001005', 'nm0001008', 'nm0001023', 'nm0001024', 'nm0001031', 'nm0001047', 'nm0001053', 'nm0001054', 'nm0001060', 'nm0001068', 'nm0001081', 'nm0001090', 'nm0001093', 'nm0001097', 'nm0001102', 'nm0001104', 'nm0001108', 'nm0001112', 'nm0001120', 'nm0001124', 'nm0001129', 'nm0001135', 'nm0001139', 'nm0001149', 'nm0001162', 'nm0001175', 'nm0001188', 'nm0001202', 'nm0001206', 'nm0001214', 'nm0001218', 'nm0001219', 'nm0001226', 'nm0001232', 'nm0001238', 'nm0001239', 'nm0001241', 'nm0001243', 'nm0001252', 'nm0001274', 'nm0001317', 'nm0001328', 'nm0001331', 'nm0001338', 'nm0001345', 'nm0001348', 'nm0001351', 'nm0001353', 'nm0001355', 'nm0001361', 'nm0001366', 'nm0001378', 'nm0001379', 'nm0001382', 'nm0001392', 'nm0001401', 'nm0001402', 'nm0001403', 'nm0001408', 'nm0001410', 'nm0001415', 'nm0001425', 'nm0001429', 'nm0001437', 'nm0001438', 'nm0001460', 'nm0001466', 'nm0001469', 'nm0001486', 'nm0001490', 'nm0001501', 'nm0001502', 'nm0001508', 'nm0001532', 'nm0001565', 'nm0001566', 'nm0001570', 'nm0001587', 'nm0001596', 'nm0001603', 'nm0001627', 'nm0001628', 'nm0001631', 'nm0001639', 'nm0001661', 'nm0001675', 'nm0001676', 'nm0001681', 'nm0001692', 'nm0001705', 'nm0001707', 'nm0001708', 'nm0001709', 'nm0001716', 'nm0001723', 'nm0001738', 'nm0001741', 'nm0001752', 'nm0001754', 'nm0001756', 'nm0001770', 'nm0001774', 'nm0001775', 'nm0001789', 'nm0001814', 'nm0001837', 'nm0001873', 'nm0001874', 'nm0001878', 'nm0001880', 'nm0001885', 'nm0001901', 'nm0001915', 'nm0001928', 'nm0001929', 'nm0001945', 'nm0001962', 'nm0001994', 'nm0002020', 'nm0002030', 'nm0002031', 'nm0002041', 'nm0002044', 'nm0002045', 'nm0002077', 'nm0002080', 'nm0002083', 'nm0002086', 'nm0002087', 'nm0002089', 'nm0002120', 'nm0002132', 'nm0002137', 'nm0002140', 'nm0002160', 'nm0002167', 'nm0002171', 'nm0002175', 'nm0002188', 'nm0002189', 'nm0002191', 'nm0002195', 'nm0002199', 'nm0002207', 'nm0002218', 'nm0002240', 'nm0002338', 'nm0002339', 'nm0002340', 'nm0002611', 'nm0002645', 'nm0002653', 'nm0002657', 'nm0002700', 'nm0002728', 'nm0002892', 'nm0002911', 'nm0002989', 'nm0003021', 'nm0003085', 'nm0003116', 'nm0003160', 'nm0003226', 'nm0003313', 'nm0003418', 'nm0003433', 'nm0003458', 'nm0003506', 'nm0003593', 'nm0003606', 'nm0003620', 'nm0003638', 'nm0003697', 'nm0003745', 'nm0003836', 'nm0003910', 'nm0003922', 'nm0003939', 'nm0004056', 'nm0004082', 'nm0004152', 'nm0004217', 'nm0004234', 'nm0004292', 'nm0004303', 'nm0004306', 'nm0004332', 'nm0004410', 'nm0004716', 'nm0004838', 'nm0004890', 'nm0004997', 'nm0005008', 'nm0005017', 'nm0005022', 'nm0005033', 'nm0005069', 'nm0005077', 'nm0005101', 'nm0005116', 'nm0005124', 'nm0005125', 'nm0005139', 'nm0005171', 'nm0005190', 'nm0005222', 'nm0005237', 'nm0005295', 'nm0005363', 'nm0005366', 'nm0005387', 'nm0005390', 'nm0005436', 'nm0005509', 'nm0005540', 'nm0005628', 'nm0005645', 'nm0005767', 'nm0005787', 'nm0006249', 'nm0006276', 'nm0006388', 'nm0006395', 'nm0006445', 'nm0006448', 'nm0006452', 'nm0006476', 'nm0006487', 'nm0006498', 'nm0006554', 'nm0006615', 'nm0006639', 'nm0006841', 'nm0006845', 'nm0006846', 'nm0006853', 'nm0006854', 'nm0006889', 'nm0006916', 'nm0006939', 'nm0006960', 'nm0006969', 'nm0007082', 'nm0007128', 'nm0007139', 'nm0008243', 'nm0008442', 'nm0009016', 'nm0009132', 'nm0009159', 'nm0009190', 'nm0009287', 'nm0010395', 'nm0010602', 'nm0011467', 'nm0011470', 'nm0012137', 'nm0013611', 'nm0013650', 'nm0013750', 'nm0013824', 'nm0013972', 'nm0014203', 'nm0014426', 'nm0014694', 'nm0014960', 'nm0015091', 'nm0015295', 'nm0015359', 'nm0016176', 'nm0016900', 'nm0019247', 'nm0020491', 'nm0021249', 'nm0022412', 'nm0023355', 'nm0023747', 'nm0024622', 'nm0025241', 'nm0025978', 'nm0026174', 'nm0026442', 'nm0027183', 'nm0027271', 'nm0027572', 'nm0027943', 'nm0028764', 'nm0029242', 'nm0030417', 'nm0031866', 'nm0031888', 'nm0031967', 'nm0031976', 'nm0032925', 'nm0033005', 'nm0033177', 'nm0033384', 'nm0034531', 'nm0034712', 'nm0035106', 'nm0035531', 'nm0036331', 'nm0036349', 'nm0036638', 'nm0036923', 'nm0037428', 'nm0037575', 'nm0037708', 'nm0037867', 'nm0038432', 'nm0038778', 'nm0039402', 'nm0039660', 'nm0040575', 'nm0040939', 'nm0041474', 'nm0041642', 'nm0041707', 'nm0041932', 'nm0042085', 'nm0042849', 'nm0043214', 'nm0043742', 'nm0044357', 'nm0044466', 'nm0044803', 'nm0045256', 'nm0046275', 'nm0046282', 'nm0046469', 'nm0047049', 'nm0047193', 'nm0047222', 'nm0048056', 'nm0048519', 'nm0048918', 'nm0049326', 'nm0049371', 'nm0049592', 'nm0049633', 'nm0049728', 'nm0050332', 'nm0051643', 'nm0051907', 'nm0053028', 'nm0053228', 'nm0053613', 'nm0054077', 'nm0054744', 'nm0054954', 'nm0056725', 'nm0057666', 'nm0057842', 'nm0058826', 'nm0059750', 'nm0060076', 'nm0061608', 'nm0061792', 'nm0063357', 'nm0063383', 'nm0063769', 'nm0065442', 'nm0065608', 'nm0065644', 'nm0066080', 'nm0067457', 'nm0068587', 'nm0069342', 'nm0069818', 'nm0070159', 'nm0071514', 'nm0071682', 'nm0074163', 'nm0074966', 'nm0075666', 'nm0075849', 'nm0076175', 'nm0076780', 'nm0077002', 'nm0077879', 'nm0078660', 'nm0078704', 'nm0078762', 'nm0078943', 'nm0079496', 'nm0079578', 'nm0080220', 'nm0080524', 'nm0080580', 'nm0080636', 'nm0081540', 'nm0082450', 'nm0082677', 'nm0082971', 'nm0083348', 'nm0083651', 'nm0086998', 'nm0087595', 'nm0087861', 'nm0088397', 'nm0088908', 'nm0088955', 'nm0089033', 'nm0091076', 'nm0092632', 'nm0093081', 'nm0093232', 'nm0093404', 'nm0094274', 'nm0094435', 'nm0095601', 'nm0096319', 'nm0096332', 'nm0097079', 'nm0097259', 'nm0097468', 'nm0097517', 'nm0097648', 'nm0098908', 'nm0099276', 'nm0099324', 'nm0099521', 'nm0101054', 'nm0101956', 'nm0102643', 'nm0102873', 'nm0103187', 'nm0103756', 'nm0103785', 'nm0103804', 'nm0104193', 'nm0105169', 'nm0106404', 'nm0106924', 'nm0107664', 'nm0107774', 'nm0108132', 'nm0108745', 'nm0109165', 'nm0109359', 'nm0109885', 'nm0110133', 'nm0110300', 'nm0110791', 'nm0110821', 'nm0111369', 'nm0111845', 'nm0112085', 'nm0113132', 'nm0116511', 'nm0117709', 'nm0118333', 'nm0118345', 'nm0118438', 'nm0119106', 'nm0119541', 'nm0119613', 'nm0119685', 'nm0121711', 'nm0122335', 'nm0122344', 'nm0122560', 'nm0123236', 'nm0123666', 'nm0124489', 'nm0124900', 'nm0125803', 'nm0126096', 'nm0126154', 'nm0126492', 'nm0126906', 'nm0127373', 'nm0127894', 'nm0128334', 'nm0128382', 'nm0128687', 'nm0130369', 'nm0130714', 'nm0131018', 'nm0131235', 'nm0131460', 'nm0131969', 'nm0131995', 'nm0132120', 'nm0132414', 'nm0132485', 'nm0132709', 'nm0133153', 'nm0133326', 'nm0134176', 'nm0134224', 'nm0134396', 'nm0134867', 'nm0135781', 'nm0136021', 'nm0136552', 'nm0136631', 'nm0137228', 'nm0137573', 'nm0138620', 'nm0138759', 'nm0138809', 'nm0138893', 'nm0138927', 'nm0139111', 'nm0139867', 'nm0140196', 'nm0140337', 'nm0141127', 'nm0142286', 'nm0142362', 'nm0144018', 'nm0144689', 'nm0144812', 'nm0145309', 'nm0146049', 'nm0146068', 'nm0146351', 'nm0146974', 'nm0146991', 'nm0147356', 'nm0148482', 'nm0148599', 'nm0148987', 'nm0149196', 'nm0149446', 'nm0149491', 'nm0150802', 'nm0150897', 'nm0151066', 'nm0151167', 'nm0151540', 'nm0151653', 'nm0151717', 'nm0151733', 'nm0151751', 'nm0151871', 'nm0152312', 'nm0152466', 'nm0154385', 'nm0154716', 'nm0154819', 'nm0154858', 'nm0155093', 'nm0155280', 'nm0155528', 'nm0155548', 'nm0155598', 'nm0155642', 'nm0155706', 'nm0156434', 'nm0156512', 'nm0156966', 'nm0156977', 'nm0157024', 'nm0157300', 'nm0157709', 'nm0158014', 'nm0158323', 'nm0158638', 'nm0158810', 'nm0158984', 'nm0159007', 'nm0159154', 'nm0159483', 'nm0160840', 'nm0161071', 'nm0161229', 'nm0161242', 'nm0161244', 'nm0161717', 'nm0161834', 'nm0162030', 'nm0163706', 'nm0164083', 'nm0164187', 'nm0165290', 'nm0166256', 'nm0166438', 'nm0166714', 'nm0166836', 'nm0167195', 'nm0167241', 'nm0167496', 'nm0167509', 'nm0169300', 'nm0169540', 'nm0169806', 'nm0170030', 'nm0170043', 'nm0170901', 'nm0171562', 'nm0172614', 'nm0172772', 'nm0172826', 'nm0172877', 'nm0173728', 'nm0174374', 'nm0175305', 'nm0175352', 'nm0176496', 'nm0176905', 'nm0177896', 'nm0178260', 'nm0178376', 'nm0178840', 'nm0178880', 'nm0178886', 'nm0179221', 'nm0179278', 'nm0179281', 'nm0179542', 'nm0179576', 'nm0180428', 'nm0180902', 'nm0181117', 'nm0181525', 'nm0181902', 'nm0181903', 'nm0182276', 'nm0183183', 'nm0185063', 'nm0185848', 'nm0187740', 'nm0187912', 'nm0188165', 'nm0188335', 'nm0188669', 'nm0188722', 'nm0188929', 'nm0190859', 'nm0190988', 'nm0191147', 'nm0191258', 'nm0192090', 'nm0192446', 'nm0192478', 'nm0192845', 'nm0193010', 'nm0193485', 'nm0193508', 'nm0194878', 'nm0195439', 'nm0195496', 'nm0196134', 'nm0196657', 'nm0197636', 'nm0197819', 'nm0197855', 'nm0198014', 'nm0198460', 'nm0198765', 'nm0199047', 'nm0200005', 'nm0200192', 'nm0200402', 'nm0200403', 'nm0200452', 'nm0200521', 'nm0200702', 'nm0200789', 'nm0200956', 'nm0201061', 'nm0201094', 'nm0201095', 'nm0201187', 'nm0201283', 'nm0201509', 'nm0201903', 'nm0201938', 'nm0202036', 'nm0202088', 'nm0203246', 'nm0203993', 'nm0204628', 'nm0205157', 'nm0205169', 'nm0205542', 'nm0205779', 'nm0206760', 'nm0207357', 'nm0207775', 'nm0208005', 'nm0208111', 'nm0208342', 'nm0210101', 'nm0210320', 'nm0210386', 'nm0210701', 'nm0210811', 'nm0211110', 'nm0211459', 'nm0211643', 'nm0212593', 'nm0212990', 'nm0213100', 'nm0213136', 'nm0213450', 'nm0213983', 'nm0214857', 'nm0215455', 'nm0215626', 'nm0217974', 'nm0218022', 'nm0218547', 'nm0218621', 'nm0218934', 'nm0219136', 'nm0219959', 'nm0220600', 'nm0220615', 'nm0221265', 'nm0221611', 'nm0222043', 'nm0222365', 'nm0222426', 'nm0222545', 'nm0223250', 'nm0223359', 'nm0223964', 'nm0224801', 'nm0225010', 'nm0225034', 'nm0225109', 'nm0226151', 'nm0226244', 'nm0227540', 'nm0227625', 'nm0227671', 'nm0228147', 'nm0228542', 'nm0229424', 'nm0229578', 'nm0229694', 'nm0230032', 'nm0230859', 'nm0231596', 'nm0232561', 'nm0232702', 'nm0232795', 'nm0233078', 'nm0233123', 'nm0233757', 'nm0234506', 'nm0235719', 'nm0236226', 'nm0236313', 'nm0236729', 'nm0237292', 'nm0237648', 'nm0238757', 'nm0239001', 'nm0239228', 'nm0239725', 'nm0240451', 'nm0240797', 'nm0241090', 'nm0241173', 'nm0241563', 'nm0241622', 'nm0243921', 'nm0244407', 'nm0245040', 'nm0245081', 'nm0245112', 'nm0245213', 'nm0246503', 'nm0248942', 'nm0249210', 'nm0249291', 'nm0250373', 'nm0250806', 'nm0251774', 'nm0251986', 'nm0252230', 'nm0252705', 'nm0254178', 'nm0256103', 'nm0256384', 'nm0256542', 'nm0256831', 'nm0257554', 'nm0257992', 'nm0258221', 'nm0258977', 'nm0259499', 'nm0259611', 'nm0261840', 'nm0262049', 'nm0262402', 'nm0262693', 'nm0263009', 'nm0264236', 'nm0265852', 'nm0266735', 'nm0267512', 'nm0267943', 'nm0268107', 'nm0268380', 'nm0268468', 'nm0268999', 'nm0269463', 'nm0270099', 'nm0270851', 'nm0272568', 'nm0272735', 'nm0273208', 'nm0273477', 'nm0273863', 'nm0274659', 'nm0275034', 'nm0275270', 'nm0275277', 'nm0275286', 'nm0275629', 'nm0275913', 'nm0276062', 'nm0276169', 'nm0277342', 'nm0278304', 'nm0279807', 'nm0280726', 'nm0281396', 'nm0281507', 'nm0281508', 'nm0281808', 'nm0281869', 'nm0281945', 'nm0282425', 'nm0283810', 'nm0283816', 'nm0284011', 'nm0284078', 'nm0284369', 'nm0284503', 'nm0284744', 'nm0284774', 'nm0285090', 'nm0285302', 'nm0285379', 'nm0285683', 'nm0285779', 'nm0286322', 'nm0286975', 'nm0287082', 'nm0288144', 'nm0288758', 'nm0289065', 'nm0289824', 'nm0290131', 'nm0290485', 'nm0290556', 'nm0290956', 'nm0291082', 'nm0291205', 'nm0291442', 'nm0292720', 'nm0293125', 'nm0294243', 'nm0294379', 'nm0294457', 'nm0294505', 'nm0294825', 'nm0294997', 'nm0295031', 'nm0295345', 'nm0297523', 'nm0297714', 'nm0297863', 'nm0297935', 'nm0298807', 'nm0299173', 'nm0299175', 'nm0299586', 'nm0299621', 'nm0300965', 'nm0302027', 'nm0302323', 'nm0302778', 'nm0303032', 'nm0304065', 'nm0304521', 'nm0304541', 'nm0305368', 'nm0305563', 'nm0305564', 'nm0305850', 'nm0307246', 'nm0307497', 'nm0307819', 'nm0308042', 'nm0308219', 'nm0308376', 'nm0308498', 'nm0308520', 'nm0308524', 'nm0308900', 'nm0309212', 'nm0309456', 'nm0310032', 'nm0310615', 'nm0310719', 'nm0311057', 'nm0311508', 'nm0312881', 'nm0313227', 'nm0313623', 'nm0314516', 'nm0315041', 'nm0315842', 'nm0316002', 'nm0316306', 'nm0317834', 'nm0318150', 'nm0318916', 'nm0318947', 'nm0319213', 'nm0319659', 'nm0319663', 'nm0319781', 'nm0320113', 'nm0320285', 'nm0320510', 'nm0320714', 'nm0320808', 'nm0320833', 'nm0321159', 'nm0322144', 'nm0322242', 'nm0322331', 'nm0322515', 'nm0323239', 'nm0323582', 'nm0324875', 'nm0324995', 'nm0325204', 'nm0325935', 'nm0326246', 'nm0326450', 'nm0326792', 'nm0326995', 'nm0327273', 'nm0327944', 'nm0328922', 'nm0329023', 'nm0329650', 'nm0330057', 'nm0330185', 'nm0330347', 'nm0330687', 'nm0330848', 'nm0331296', 'nm0331471', 'nm0331516', 'nm0331532', 'nm0332539', 'nm0332740', 'nm0332892', 'nm0333804', 'nm0333983', 'nm0334787', 'nm0335133', 'nm0335138', 'nm0336139', 'nm0336620', 'nm0336695', 'nm0337157', 'nm0337756', 'nm0337773', 'nm0337833', 'nm0339004', 'nm0339030', 'nm0339254', 'nm0339683', 'nm0340436', 'nm0340958', 'nm0340981', 'nm0341132', 'nm0341486', 'nm0341716', 'nm0342120', 'nm0343185', 'nm0343260', 'nm0343903', 'nm0344259', 'nm0344496', 'nm0344927', 'nm0345174', 'nm0345615', 'nm0346360', 'nm0346640', 'nm0347086', 'nm0347492', 'nm0347720', 'nm0348181', 'nm0348993', 'nm0349425', 'nm0349484', 'nm0350454', 'nm0351486', 'nm0351993', 'nm0352524', 'nm0352968', 'nm0353673', 'nm0353785', 'nm0353863', 'nm0353970', 'nm0354091', 'nm0354780', 'nm0355192', 'nm0355217', 'nm0355542', 'nm0355790', 'nm0355991', 'nm0356017', 'nm0356867', 'nm0357453', 'nm0357584', 'nm0357807', 'nm0357891', 'nm0358327', 'nm0359387', 'nm0359457', 'nm0359734', 'nm0361135', 'nm0361682', 'nm0361735', 'nm0362566', 'nm0362799', 'nm0362847', 'nm0363553', 'nm0364252', 'nm0364578', 'nm0364963', 'nm0366004', 'nm0366867', 'nm0366914', 'nm0367860', 'nm0367915', 'nm0368057', 'nm0368674', 'nm0368675', 'nm0368871', 'nm0369030', 'nm0369240', 'nm0369618', 'nm0369686', 'nm0369736', 'nm0370624', 'nm0370892', 'nm0371890', 'nm0371955', 'nm0373282', 'nm0373429', 'nm0374048', 'nm0375224', 'nm0375494', 'nm0378144', 'nm0378893', 'nm0378932', 'nm0379150', 'nm0379179', 'nm0380178', 'nm0380705', 'nm0381230', 'nm0381273', 'nm0381328', 'nm0381416', 'nm0381478', 'nm0381638', 'nm0381699', 'nm0382072', 'nm0383605', 'nm0383688', 'nm0384335', 'nm0384825', 'nm0384862', 'nm0384863', 'nm0386246', 'nm0386351', 'nm0386382', 'nm0386570', 'nm0387354', 'nm0387399', 'nm0387605', 'nm0387701', 'nm0387706', 'nm0388198', 'nm0388505', 'nm0388648', 'nm0389591', 'nm0389712', 'nm0391502', 'nm0391996', 'nm0393094', 'nm0393235', 'nm0393254', 'nm0393394', 'nm0393674', 'nm0393799', 'nm0394280', 'nm0394409', 'nm0394776', 'nm0396074', 'nm0396136', 'nm0396321', 'nm0397174', 'nm0398185', 'nm0398771', 'nm0398979', 'nm0398985', 'nm0399003', 'nm0399007', 'nm0399853', 'nm0400436', 'nm0400441', 'nm0400731', 'nm0400850', 'nm0402493', 'nm0402596', 'nm0402597', 'nm0403297', 'nm0403774', 'nm0404067', 'nm0404848', 'nm0405336', 'nm0405374', 'nm0405605', 'nm0405632', 'nm0405877', 'nm0406334', 'nm0406728', 'nm0407024', 'nm0407067', 'nm0407941', 'nm0407988', 'nm0407990', 'nm0407992', 'nm0408043', 'nm0408045', 'nm0408051', 'nm0408076', 'nm0408120', 'nm0409079', 'nm0409459', 'nm0409561', 'nm0409646', 'nm0409791', 'nm0410139', 'nm0410769', 'nm0411002', 'nm0411025', 'nm0411027', 'nm0411213', 'nm0411631', 'nm0411693', 'nm0412517', 'nm0412606', 'nm0412824', 'nm0412838', 'nm0413875', 'nm0414144', 'nm0414312', 'nm0414423', 'nm0414556', 'nm0414817', 'nm0414910', 'nm0415059', 'nm0415245', 'nm0415333', 'nm0415618', 'nm0415714', 'nm0417352', 'nm0417537', 'nm0417541', 'nm0417708', 'nm0417794', 'nm0418746', 'nm0418883', 'nm0418982', 'nm0419494', 'nm0419877', 'nm0420112', 'nm0420524', 'nm0420941', 'nm0420982', 'nm0421314', 'nm0421776', 'nm0421814', 'nm0421817', 'nm0421822', 'nm0422367', 'nm0422484', 'nm0422605', 'nm0423088', 'nm0423259', 'nm0423329', 'nm0423623', 'nm0423645', 'nm0423646', 'nm0423784', 'nm0424466', 'nm0424800', 'nm0425364', 'nm0425756', 'nm0425843', 'nm0426059', 'nm0426287', 'nm0426510', 'nm0426565', 'nm0427037', 'nm0427714', 'nm0427880', 'nm0428600', 'nm0429634', 'nm0429963', 'nm0431145', 'nm0431918', 'nm0431956', 'nm0432601', 'nm0432627', 'nm0432846', 'nm0434392', 'nm0434726', 'nm0434806', 'nm0434896', 'nm0435563', 'nm0435788', 'nm0436089', 'nm0436770', 'nm0436878', 'nm0436950', 'nm0437356', 'nm0437490', 'nm0437526', 'nm0437596', 'nm0437608', 'nm0437625', 'nm0437627', 'nm0437652', 'nm0438201', 'nm0439099', 'nm0439254', 'nm0439312', 'nm0439597', 'nm0440458', 'nm0440604', 'nm0440913', 'nm0440988', 'nm0441099', 'nm0441162', 'nm0441501', 'nm0441914', 'nm0442109', 'nm0442207', 'nm0442237', 'nm0442241', 'nm0442819', 'nm0442851', 'nm0442887', 'nm0442905', 'nm0443411', 'nm0443505', 'nm0443592', 'nm0444244', 'nm0444870', 'nm0445129', 'nm0445916', 'nm0446622', 'nm0446819', 'nm0447312', 'nm0447944', 'nm0448670', 'nm0448768', 'nm0449299', 'nm0449984', 'nm0450194', 'nm0450347', 'nm0451148', 'nm0451155', 'nm0451274', 'nm0451326', 'nm0451884', 'nm0452102', 'nm0452319', 'nm0453411', 'nm0453412', 'nm0453413', 'nm0453426', 'nm0453467', 'nm0453470', 'nm0453477', 'nm0453490', 'nm0453491', 'nm0453518', 'nm0453559', 'nm0453579', 'nm0453580', 'nm0453581', 'nm0453657', 'nm0453676', 'nm0453678', 'nm0453695', 'nm0453697', 'nm0453698', 'nm0453707', 'nm0453708', 'nm0453720', 'nm0453754', 'nm0453756', 'nm0454771', 'nm0455078', 'nm0455394', 'nm0455659', 'nm0455741', 'nm0455839', 'nm0456031', 'nm0456172', 'nm0457240', 'nm0457565', 'nm0458251', 'nm0458517', 'nm0459170', 'nm0459381', 'nm0459552', 'nm0459567', 'nm0459732', 'nm0460141', 'nm0460206', 'nm0461938', 'nm0462030', 'nm0462988', 'nm0463242', 'nm0463359', 'nm0463596', 'nm0463727', 'nm0464678', 'nm0464804', 'nm0464846', 'nm0465071', 'nm0465451', 'nm0465506', 'nm0466099', 'nm0466153', 'nm0466349', 'nm0467225', 'nm0467646', 'nm0467747', 'nm0469823', 'nm0470514', 'nm0472086', 'nm0472178', 'nm0472179', 'nm0473329', 'nm0474955', 'nm0475879', 'nm0475905', 'nm0476064', 'nm0476123', 'nm0476201', 'nm0476956', 'nm0477035', 'nm0477039', 'nm0477041', 'nm0477108', 'nm0477121', 'nm0477129', 'nm0477166', 'nm0477203', 'nm0477456', 'nm0477702', 'nm0478441', 'nm0478713', 'nm0480894', 'nm0481418', 'nm0481681', 'nm0481699', 'nm0481838', 'nm0482494', 'nm0482537', 'nm0482592', 'nm0482670', 'nm0482774', 'nm0484907', 'nm0485871', 'nm0485943', 'nm0487166', 'nm0487878', 'nm0488574', 'nm0490444', 'nm0490487', 'nm0491259', 'nm0491290', 'nm0491708', 'nm0492087', 'nm0492620', 'nm0492909', 'nm0493257', 'nm0493778', 'nm0494069', 'nm0494504', 'nm0494885', 'nm0496293', 'nm0496312', 'nm0496459', 'nm0496746', 'nm0496752', 'nm0496863', 'nm0496900', 'nm0496969', 'nm0496970', 'nm0497022', 'nm0497097', 'nm0497183', 'nm0497274', 'nm0497359', 'nm0497398', 'nm0497416', 'nm0497489', 'nm0497515', 'nm0497535', 'nm0497565', 'nm0497579', 'nm0497596', 'nm0497631', 'nm0497682', 'nm0497702', 'nm0497704', 'nm0497710', 'nm0497758', 'nm0497802', 'nm0497908', 'nm0497929', 'nm0497934', 'nm0498212', 'nm0498213', 'nm0498270', 'nm0498304', 'nm0498487', 'nm0500610', 'nm0500896', 'nm0500988', 'nm0501185', 'nm0501256', 'nm0501435', 'nm0501471', 'nm0501713', 'nm0502391', 'nm0502577', 'nm0502954', 'nm0503259', 'nm0503325', 'nm0503611', 'nm0503777', 'nm0504357', 'nm0504495', 'nm0504496', 'nm0504513', 'nm0504583', 'nm0504642', 'nm0504968', 'nm0504980', 'nm0505152', 'nm0505642', 'nm0505934', 'nm0505946', 'nm0506165', 'nm0506374', 'nm0506613', 'nm0506802', 'nm0506977', 'nm0507185', 'nm0507425', 'nm0508025', 'nm0508208', 'nm0509448', 'nm0510233', 'nm0510497', 'nm0510674', 'nm0510731', 'nm0510816', 'nm0510912', 'nm0512862', 'nm0513792', 'nm0514546', 'nm0514897', 'nm0515979', 'nm0516323', 'nm0516360', 'nm0517264', 'nm0517589', 'nm0518836', 'nm0519043', 'nm0519193', 'nm0519354', 'nm0520440', 'nm0520488', 'nm0521334', 'nm0521803', 'nm0522218', 'nm0523239', 'nm0523363', 'nm0523373', 'nm0523665', 'nm0523932', 'nm0524190', 'nm0525141', 'nm0525303', 'nm0525659', 'nm0526199', 'nm0527109', 'nm0527217', 'nm0527261', 'nm0528186', 'nm0528718', 'nm0528963', 'nm0531817', 'nm0532235', 'nm0532561', 'nm0533241', 'nm0533284', 'nm0533691', 'nm0534665', 'nm0534856', 'nm0534879', 'nm0535340', 'nm0535940', 'nm0536632', 'nm0536705', 'nm0537410', 'nm0537550', 'nm0537923', 'nm0538107', 'nm0538320', 'nm0538328', 'nm0538353', 'nm0538445', 'nm0538532', 'nm0538652', 'nm0538709', 'nm0538733', 'nm0538770', 'nm0540176', 'nm0540220', 'nm0540297', 'nm0540532', 'nm0541149', 'nm0541217', 'nm0541244', 'nm0541696', 'nm0541806', 'nm0541845', 'nm0541973', 'nm0542498', 'nm0542649', 'nm0542702', 'nm0542720', 'nm0542951', 'nm0544279', 'nm0544528', 'nm0545169', 'nm0545356', 'nm0546153', 'nm0546905', 'nm0548346', 'nm0548833', 'nm0549650', 'nm0550875', 'nm0550881', 'nm0550892', 'nm0551076', 'nm0551128', 'nm0551506', 'nm0552058', 'nm0552565', 'nm0553303', 'nm0553440', 'nm0553662', 'nm0553917', 'nm0553941', 'nm0553942', 'nm0554280', 'nm0554532', 'nm0554880', 'nm0554924', 'nm0555476', 'nm0556048', 'nm0556094', 'nm0556573', 'nm0557065', 'nm0557543', 'nm0557704', 'nm0557751', 'nm0557789', 'nm0557840', 'nm0557927', 'nm0558062', 'nm0559618', 'nm0560277', 'nm0561089', 'nm0561703', 'nm0561938', 'nm0562266', 'nm0562645', 'nm0562845', 'nm0563183', 'nm0563243', 'nm0563440', 'nm0563848', 'nm0564319', 'nm0564680', 'nm0564928', 'nm0564970', 'nm0565336', 'nm0567620', 'nm0568018', 'nm0569166', 'nm0569708', 'nm0569891', 'nm0570912', 'nm0572562', 'nm0573589', 'nm0573732', 'nm0573796', 'nm0574625', 'nm0575389', 'nm0575523', 'nm0575726', 'nm0576015', 'nm0576298', 'nm0576732', 'nm0576987', 'nm0577647', 'nm0578483', 'nm0579690', 'nm0580101', 'nm0580351', 'nm0580669', 'nm0580698', 'nm0581170', 'nm0581903', 'nm0583600', 'nm0584778', 'nm0585011', 'nm0586281', 'nm0586399', 'nm0586482', 'nm0587277', 'nm0587479', 'nm0587518', 'nm0587669', 'nm0587741', 'nm0587955', 'nm0588087', 'nm0588340', 'nm0589168', 'nm0589228', 'nm0589871', 'nm0590122', 'nm0590377', 'nm0590846', 'nm0590855', 'nm0591171', 'nm0591308', 'nm0591450', 'nm0591486', 'nm0592135', 'nm0593314', 'nm0593463', 'nm0593610', 'nm0593618', 'nm0594503', 'nm0594624', 'nm0595063', 'nm0596261', 'nm0596962', 'nm0597673', 'nm0597687', 'nm0598723', 'nm0598855', 'nm0600409', 'nm0600668', 'nm0601337', 'nm0601376', 'nm0601382', 'nm0601781', 'nm0601859', 'nm0602104', 'nm0602333', 'nm0602941', 'nm0603299', 'nm0603402', 'nm0603628', 'nm0604263', 'nm0604284', 'nm0604392', 'nm0604688', 'nm0605741', 'nm0608084', 'nm0608714', 'nm0609236', 'nm0609549', 'nm0609981', 'nm0610261', 'nm0610831', 'nm0610832', 'nm0610960', 'nm0611655', 'nm0611683', 'nm0611983', 'nm0612322', 'nm0612474', 'nm0613471', 'nm0613580', 'nm0613833', 'nm0613865', 'nm0614276', 'nm0614682', 'nm0614880', 'nm0615592', 'nm0615699', 'nm0615780', 'nm0616673', 'nm0617042', 'nm0617523', 'nm0617767', 'nm0618680', 'nm0619073', 'nm0619170', 'nm0619507', 'nm0619715', 'nm0619762', 'nm0619836', 'nm0619923', 'nm0620052', 'nm0620132', 'nm0620378', 'nm0620596', 'nm0621915', 'nm0622112', 'nm0622695', 'nm0623392', 'nm0623401', 'nm0623768', 'nm0624377', 'nm0624535', 'nm0624705', 'nm0624809', 'nm0625379', 'nm0625458', 'nm0625680', 'nm0626686', 'nm0628399', 'nm0628838', 'nm0629216', 'nm0629272', 'nm0629306', 'nm0629334', 'nm0629728', 'nm0629933', 'nm0629947', 'nm0630903', 'nm0632354', 'nm0632716', 'nm0632765', 'nm0634240', 'nm0634607', 'nm0635759', 'nm0636940', 'nm0637189', 'nm0637259', 'nm0637493', 'nm0637497', 'nm0637518', 'nm0637615', 'nm0638035', 'nm0638271', 'nm0638324', 'nm0639033', 'nm0639297', 'nm0639321', 'nm0640323', 'nm0640334', 'nm0640466', 'nm0640496', 'nm0640913', 'nm0643664', 'nm0644022', 'nm0644283', 'nm0644309', 'nm0644900', 'nm0644943', 'nm0644977', 'nm0645477', 'nm0645549', 'nm0645661', 'nm0646987', 'nm0647438', 'nm0648433', 'nm0648457', 'nm0648458', 'nm0648473', 'nm0648839', 'nm0648902', 'nm0649097', 'nm0649117', 'nm0649540', 'nm0649902', 'nm0650233', 'nm0650905', 'nm0651706', 'nm0651900', 'nm0651915', 'nm0652261', 'nm0652300', 'nm0653200', 'nm0654725', 'nm0654830', 'nm0654858', 'nm0654868', 'nm0655053', 'nm0655065', 'nm0656065', 'nm0657484', 'nm0657734', 'nm0658869', 'nm0659023', 'nm0659368', 'nm0659454', 'nm0659626', 'nm0660528', 'nm0660707', 'nm0660886', 'nm0661751', 'nm0661791', 'nm0661796', 'nm0661799', 'nm0661832', 'nm0661837', 'nm0661856', 'nm0661867', 'nm0661875', 'nm0661882', 'nm0661883', 'nm0661893', 'nm0661919', 'nm0661978', 'nm0662086', 'nm0662529', 'nm0662530', 'nm0662820', 'nm0662953', 'nm0664582', 'nm0664667', 'nm0664756', 'nm0664852', 'nm0667299', 'nm0667734', 'nm0667911', 'nm0668247', 'nm0668292', 'nm0668998', 'nm0669004', 'nm0671210', 'nm0671862', 'nm0671957', 'nm0672148', 'nm0673563', 'nm0674020', 'nm0675068', 'nm0675102', 'nm0675442', 'nm0676248', 'nm0677037', 'nm0677880', 'nm0677892', 'nm0678646', 'nm0678857', 'nm0678928', 'nm0679031', 'nm0680846', 'nm0682287', 'nm0682301', 'nm0682342', 'nm0683857', 'nm0684336', 'nm0684342', 'nm0685034', 'nm0685333', 'nm0686304', 'nm0687042', 'nm0687751', 'nm0687913', 'nm0688171', 'nm0688239', 'nm0688282', 'nm0689187', 'nm0689385', 'nm0689789', 'nm0689983', 'nm0691061', 'nm0691547', 'nm0692039', 'nm0692652', 'nm0693903', 'nm0694090', 'nm0695177', 'nm0695779', 'nm0695937', 'nm0695977', 'nm0696169', 'nm0697656', 'nm0697936', 'nm0699764', 'nm0699932', 'nm0699962', 'nm0700301', 'nm0700605', 'nm0700732', 'nm0700760', 'nm0700803', 'nm0700872', 'nm0701037', 'nm0701592', 'nm0701650', 'nm0702131', 'nm0702429', 'nm0702863', 'nm0703689', 'nm0704664', 'nm0705535', 'nm0706296', 'nm0706615', 'nm0707691', 'nm0708698', 'nm0708903', 'nm0709056', 'nm0709726', 'nm0710020', 'nm0710272', 'nm0711149', 'nm0711579', 'nm0711745', 'nm0711840', 'nm0712753', 'nm0712947', 'nm0713528', 'nm0715485', 'nm0715636', 'nm0715781', 'nm0715892', 'nm0716257', 'nm0716343', 'nm0716347', 'nm0716814', 'nm0716980', 'nm0717603', 'nm0718630', 'nm0718645', 'nm0718646', 'nm0719208', 'nm0719756', 'nm0720135', 'nm0720297', 'nm0720411', 'nm0721707', 'nm0721817', 'nm0723470', 'nm0723629', 'nm0724059', 'nm0724798', 'nm0725379', 'nm0725586', 'nm0725983', 'nm0726034', 'nm0726261', 'nm0726472', 'nm0726701', 'nm0727168', 'nm0727336', 'nm0727754', 'nm0727960', 'nm0728149', 'nm0728271', 'nm0728688', 'nm0729086', 'nm0729514', 'nm0729626', 'nm0730237', 'nm0730385', 'nm0730422', 'nm0730860', 'nm0732480', 'nm0733263', 'nm0733476', 'nm0735134', 'nm0735705', 'nm0736394', 'nm0736622', 'nm0737517', 'nm0737533', 'nm0738796', 'nm0739210', 'nm0739787', 'nm0740213', 'nm0740612', 'nm0741229', 'nm0741262', 'nm0741722', 'nm0742125', 'nm0742341', 'nm0742819', 'nm0742940', 'nm0743671', 'nm0743962', 'nm0744834', 'nm0745131', 'nm0745247', 'nm0749439', 'nm0750121', 'nm0750701', 'nm0750857', 'nm0751080', 'nm0751102', 'nm0751577', 'nm0751648', 'nm0752328', 'nm0753423', 'nm0753875', 'nm0755197', 'nm0755718', 'nm0756406', 'nm0756935', 'nm0757049', 'nm0757081', 'nm0757084', 'nm0757256', 'nm0757858', 'nm0757958', 'nm0757975', 'nm0758574', 'nm0758922', 'nm0759207', 'nm0760072', 'nm0761349', 'nm0761415', 'nm0761498', 'nm0761522', 'nm0761715', 'nm0761762', 'nm0761936', 'nm0762541', 'nm0764367', 'nm0764601', 'nm0764781', 'nm0765121', 'nm0765225', 'nm0765250', 'nm0765685', 'nm0766211', 'nm0766218', 'nm0766220', 'nm0766263', 'nm0766649', 'nm0767022', 'nm0767110', 'nm0767160', 'nm0767697', 'nm0767701', 'nm0767992', 'nm0768289', 'nm0768957', 'nm0768959', 'nm0769703', 'nm0769874', 'nm0770288', 'nm0770445', 'nm0770918', 'nm0770942', 'nm0771054', 'nm0771546', 'nm0771923', 'nm0772018', 'nm0772259', 'nm0772522', 'nm0772905', 'nm0773603', 'nm0773689', 'nm0774325', 'nm0774880', 'nm0775056', 'nm0775097', 'nm0775447', 'nm0777788', 'nm0777881', 'nm0778280', 'nm0778404', 'nm0778633', 'nm0778772', 'nm0779265', 'nm0780547', 'nm0780764', 'nm0780833', 'nm0781842', 'nm0781907', 'nm0781913', 'nm0782213', 'nm0783139', 'nm0783279', 'nm0783536', 'nm0784008', 'nm0785227', 'nm0785498', 'nm0787601', 'nm0787668', 'nm0788171', 'nm0788191', 'nm0788202', 'nm0788414', 'nm0788454', 'nm0788940', 'nm0789033', 'nm0789313', 'nm0790715', 'nm0791381', 'nm0791672', 'nm0791723', 'nm0792202', 'nm0792263', 'nm0792450', 'nm0792605', 'nm0793455', 'nm0793541', 'nm0793809', 'nm0793840', 'nm0793881', 'nm0793983', 'nm0795153', 'nm0795290', 'nm0795585', 'nm0796117', 'nm0796124', 'nm0796477', 'nm0796479', 'nm0796915', 'nm0796923', 'nm0797136', 'nm0797457', 'nm0797854', 'nm0797869', 'nm0798899', 'nm0799050', 'nm0801916', 'nm0802248', 'nm0802561', 'nm0802563', 'nm0802617', 'nm0802862', 'nm0803840', 'nm0804592', 'nm0805595', 'nm0806293', 'nm0806492', 'nm0807687', 'nm0809877', 'nm0811583', 'nm0811589', 'nm0811611', 'nm0812200', 'nm0812234', 'nm0812309', 'nm0812373', 'nm0812546', 'nm0812625', 'nm0812862', 'nm0813164', 'nm0813177', 'nm0813786', 'nm0814085', 'nm0814232', 'nm0814271', 'nm0814288', 'nm0814469', 'nm0814570', 'nm0815070', 'nm0815204', 'nm0815784', 'nm0817447', 'nm0817895', 'nm0818608', 'nm0818746', 'nm0819613', 'nm0820800', 'nm0821406', 'nm0821432', 'nm0821844', 'nm0822555', 'nm0822582', 'nm0822597', 'nm0822775', 'nm0823721', 'nm0823906', 'nm0824882', 'nm0825407', 'nm0825434', 'nm0825533', 'nm0826164', 'nm0826541', 'nm0827171', 'nm0827750', 'nm0827830', 'nm0827869', 'nm0828336', 'nm0828419', 'nm0828970', 'nm0829078', 'nm0829820', 'nm0830629', 'nm0831557', 'nm0832087', 'nm0833779', 'nm0833780', 'nm0834650', 'nm0834893', 'nm0834935', 'nm0835249', 'nm0835799', 'nm0836328', 'nm0836784', 'nm0836949', 'nm0837116', 'nm0837219', 'nm0837688', 'nm0838289', 'nm0839064', 'nm0839660', 'nm0840485', 'nm0840594', 'nm0840651', 'nm0841456', 'nm0842918', 'nm0842944', 'nm0843640', 'nm0844333', 'nm0844358', 'nm0845386', 'nm0846010', 'nm0846281', 'nm0846346', 'nm0846369', 'nm0846590', 'nm0847109', 'nm0847223', 'nm0847434', 'nm0847477', 'nm0847749', 'nm0847859', 'nm0848121', 'nm0848414', 'nm0848992', 'nm0849164', 'nm0849290', 'nm0849465', 'nm0849609', 'nm0849747', 'nm0850173', 'nm0850212', 'nm0850366', 'nm0850601', 'nm0850774', 'nm0850895', 'nm0851537', 'nm0851724', 'nm0851752', 'nm0851754', 'nm0851930', 'nm0852279', 'nm0853238', 'nm0853374', 'nm0853380', 'nm0853393', 'nm0853546', 'nm0854697', 'nm0854813', 'nm0855035', 'nm0855424', 'nm0855446', 'nm0857170', 'nm0858680', 'nm0859302', 'nm0859387', 'nm0859877', 'nm0861703', 'nm0861740', 'nm0862151', 'nm0862211', 'nm0862911', 'nm0863387', 'nm0863604', 'nm0863922', 'nm0864138', 'nm0864775', 'nm0865422', 'nm0865918', 'nm0867127', 'nm0867210', 'nm0867784', 'nm0868149', 'nm0868153', 'nm0868219', 'nm0868871', 'nm0870186', 'nm0870313', 'nm0870469', 'nm0870839', 'nm0870841', 'nm0871188', 'nm0871428', 'nm0871520', 'nm0873266', 'nm0873779', 'nm0874093', 'nm0874100', 'nm0874795', 'nm0875453', 'nm0875571', 'nm0875793', 'nm0875973', 'nm0876287', 'nm0877000', 'nm0878638', 'nm0878756', 'nm0878763', 'nm0879559', 'nm0879755', 'nm0879937', 'nm0879960', 'nm0880521', 'nm0881279', 'nm0881591', 'nm0881794', 'nm0882330', 'nm0882997', 'nm0884547', 'nm0885077', 'nm0885249', 'nm0885650', 'nm0886976', 'nm0887708', 'nm0888585', 'nm0889966', 'nm0890367', 'nm0891216', 'nm0891254', 'nm0891554', 'nm0891580', 'nm0893659', 'nm0893845', 'nm0894152', 'nm0894173', 'nm0894201', 'nm0894577', 'nm0895804', 'nm0896533', 'nm0896542', 'nm0898288', 'nm0899121', 'nm0899187', 'nm0899364', 'nm0899464', 'nm0899501', 'nm0899581', 'nm0900251', 'nm0901801', 'nm0903049', 'nm0903474', 'nm0904192', 'nm0904651', 'nm0904707', 'nm0905152', 'nm0905154', 'nm0905237', 'nm0905592', 'nm0906413', 'nm0906476', 'nm0906548', 'nm0906667', 'nm0908037', 'nm0908103', 'nm0908587', 'nm0908824', 'nm0909532', 'nm0909825', 'nm0910607', 'nm0910869', 'nm0911061', 'nm0911093', 'nm0911334', 'nm0911910', 'nm0912238', 'nm0912981', 'nm0913835', 'nm0914058', 'nm0914132', 'nm0914972', 'nm0915394', 'nm0916406', 'nm0916424', 'nm0917405', 'nm0918078', 'nm0919363', 'nm0919369', 'nm0920074', 'nm0920227', 'nm0920274', 'nm0920425', 'nm0920950', 'nm0921262', 'nm0921631', 'nm0922346', 'nm0922903', 'nm0923330', 'nm0923736', 'nm0925870', 'nm0927090', 'nm0928208', 'nm0929317', 'nm0929660', 'nm0930261', 'nm0930293', 'nm0931251', 'nm0931654', 'nm0931724', 'nm0932071', 'nm0932216', 'nm0932302', 'nm0933505', 'nm0934483', 'nm0934578', 'nm0934684', 'nm0935095', 'nm0935352', 'nm0935375', 'nm0935382', 'nm0935863', 'nm0936044', 'nm0936374', 'nm0936404', 'nm0936482', 'nm0938630', 'nm0938645', 'nm0939128', 'nm0939182', 'nm0939207', 'nm0939260', 'nm0939275', 'nm0939992', 'nm0941811', 'nm0942367', 'nm0942504', 'nm0942876', 'nm0943071', 'nm0943758', 'nm0945026', 'nm0945282', 'nm0945369', 'nm0945724', 'nm0945847', 'nm0945981', 'nm0946092', 'nm0946223', 'nm0946441', 'nm0946521', 'nm0946654', 'nm0946734', 'nm0946811', 'nm0947507', 'nm0948027', 'nm0948159', 'nm0948488', 'nm0948577', 'nm0948596', 'nm0948617', 'nm0949031', 'nm0949167', 'nm0949171', 'nm0949440', 'nm0950001', 'nm0950109', 'nm0950454', 'nm0950553', 'nm0950590', 'nm0950593', 'nm0950620', 'nm0950680', 'nm0950683', 'nm0950728', 'nm0950775', 'nm0950817', 'nm0950834', 'nm0951206', 'nm0951511', 'nm0951944', 'nm0951975', 'nm0952583', 'nm0953026', 'nm0953130', 'nm0953392', 'nm0954437', 'nm0954459', 'nm0954500', 'nm0954713', 'nm0954724', 'nm0955184', 'nm0955270', 'nm0955443', 'nm0956052', 'nm0957169', 'nm0957263', 'nm0957505', 'nm0957772', 'nm0958387', 'nm0958558', 'nm0959034', 'nm0959062', 'nm0959193', 'nm0959774', 'nm0959994', 'nm0960028', 'nm0960495', 'nm0960867', 'nm0961520', 'nm0961869', 'nm0962729', 'nm0969303', 'nm0970447', 'nm0973735', 'nm0973835', 'nm0973907', 'nm0993644', 'nm0994275', 'nm0994322', 'nm0994345', 'nm0994368', 'nm0994379', 'nm0994416', 'nm0994562', 'nm0997240', 'nm0997291', 'nm0998110', 'nm0998389', 'nm1000499', 'nm1001232', 'nm1001345', 'nm1002009', 'nm10021724', 'nm1002424', 'nm1002694', 'nm1002819', 'nm1004541', 'nm10046634', 'nm10046917', 'nm10053876', 'nm10057971', 'nm10064780', 'nm1006656', 'nm10067081', 'nm10067082', 'nm1006796', 'nm10071340', 'nm10073123', 'nm1007393', 'nm1007480', 'nm1007740', 'nm1008415', 'nm10085606', 'nm10096905', 'nm10099966', 'nm1011539', 'nm10118187', 'nm10119827', 'nm10121262', 'nm1012219', 'nm1012385', 'nm1012501', 'nm10125154', 'nm1012525', 'nm1013093', 'nm1013656', 'nm1014706', 'nm1014959', 'nm1015151', 'nm10154891', 'nm1016096', 'nm1016428', 'nm1016687', 'nm10167494', 'nm1017470', 'nm1017500', 'nm1018521', 'nm10193854', 'nm10196665', 'nm10201503', 'nm10204367', 'nm10207170', 'nm1020835', 'nm1020877', 'nm10209959', 'nm10211103', 'nm10211289', 'nm1022455', 'nm1023919', 'nm1024094', 'nm10244091', 'nm1024677', 'nm1025280', 'nm10260214', 'nm1026778', 'nm10269767', 'nm10270819', 'nm10271438', 'nm1027519', 'nm1028093', 'nm10285310', 'nm1028742', 'nm10288812', 'nm10295613', 'nm1029926', 'nm1029961', 'nm10300151', 'nm1030266', 'nm10304264', 'nm1030526', 'nm1030532', 'nm1030706', 'nm1030817', 'nm1031003', 'nm1031246', 'nm10312957', 'nm1031438', 'nm1031639', 'nm1031666', 'nm1031671', 'nm1031708', 'nm1031732', 'nm1032122', 'nm1032521', 'nm1032754', 'nm1033032', 'nm1033517', 'nm1033683', 'nm10339953', 'nm1035649', 'nm10362770', 'nm10365311', 'nm10366114', 'nm10366636', 'nm10369087', 'nm10370718', 'nm1037221', 'nm10372781', 'nm1037474', 'nm10379771', 'nm1039140', 'nm1039438', 'nm10395578', 'nm10398220', 'nm1040394', 'nm1040494', 'nm1040588', 'nm10410052', 'nm10410528', 'nm10421835', 'nm1042767', 'nm10429652', 'nm10433951', 'nm1045549', 'nm1045681', 'nm1045685', 'nm1045686', 'nm1045689', 'nm1045865', 'nm1045937', 'nm1045946', 'nm1046098', 'nm1046204', 'nm1046328', 'nm10466813', 'nm10468241', 'nm1047240', 'nm1047532', 'nm10481264', 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'nm1889733', 'nm1890752', 'nm1890845', 'nm1891632', 'nm1892252', 'nm1892800', 'nm1892926', 'nm1893665', 'nm1895361', 'nm1896975', 'nm1898344', 'nm1898893', 'nm1899656', 'nm1901761', 'nm1902511', 'nm1902686', 'nm1906430', 'nm1908575', 'nm1908743', 'nm1911579', 'nm1913128', 'nm1917587', 'nm1918140', 'nm1918538', 'nm1918877', 'nm1918950', 'nm1921345', 'nm1922242', 'nm1924976', 'nm1926494', 'nm1926903', 'nm1928263', 'nm1931713', 'nm1932690', 'nm1936232', 'nm1936347', 'nm1938064', 'nm1938777', 'nm1941507', 'nm1943775', 'nm1950018', 'nm1950086', 'nm1953841', 'nm1954071', 'nm1954072', 'nm1954196', 'nm1954523', 'nm1954881', 'nm1955139', 'nm1955854', 'nm1955897', 'nm1957610', 'nm1957822', 'nm1958109', 'nm1959064', 'nm1959340', 'nm1963808', 'nm1964864', 'nm1966532', 'nm1966555', 'nm1966634', 'nm1966841', 'nm1967210', 'nm1970598', 'nm1971582', 'nm1975628', 'nm1976187', 'nm1977355', 'nm1977735', 'nm1978049', 'nm1978402', 'nm1978806', 'nm1979385', 'nm1980099', 'nm1980431', 'nm1980444', 'nm1980499', 'nm1982961', 'nm1985490', 'nm1986065', 'nm1986290', 'nm1989536', 'nm1990034', 'nm1991486', 'nm1991847', 'nm1992193', 'nm1993322', 'nm1994243', 'nm1995246', 'nm1996251', 'nm1996665', 'nm1998108', 'nm1999473', 'nm2000954', 'nm2001539', 'nm2001999', 'nm2002092', 'nm2002649', 'nm2003134', 'nm2004888', 'nm2005138', 'nm2006145', 'nm2007811', 'nm2008023', 'nm2008031', 'nm2008067', 'nm2008284', 'nm2008414', 'nm2010048', 'nm2010936', 'nm2011696', 'nm2012736', 'nm2013191', 'nm2013928', 'nm2014132', 'nm2014390', 'nm2014886', 'nm2015237', 'nm2016267', 'nm2016688', 'nm2017227', 'nm2019556', 'nm2025581', 'nm2026162', 'nm2030575', 'nm2031561', 'nm2031767', 'nm2032664', 'nm2034621', 'nm2035118', 'nm2035411', 'nm2035886', 'nm2036500', 'nm2038130', 'nm2038223', 'nm2038422', 'nm2038876', 'nm2039220', 'nm2039774', 'nm2040537', 'nm2041708', 'nm2041883', 'nm2041999', 'nm2043863', 'nm2044505', 'nm2045250', 'nm2046521', 'nm2048708', 'nm2051728', 'nm2055634', 'nm2060873', 'nm2063122', 'nm2063694', 'nm2063982', 'nm2071556', 'nm2075313', 'nm2075487', 'nm2076099', 'nm2078406', 'nm2079484', 'nm2081505', 'nm2081524', 'nm2083395', 'nm2084252', 'nm2085856', 'nm2086105', 'nm2086819', 'nm2088446', 'nm2089213', 'nm2089344', 'nm2090620', 'nm2091448', 'nm2091911', 'nm2093171', 'nm2093933', 'nm2098213', 'nm2098964', 'nm2099491', 'nm2100806', 'nm2104340', 'nm2105585', 'nm2106115', 'nm2112751', 'nm2113122', 'nm2114842', 'nm2116425', 'nm2116880', 'nm2117510', 'nm2122478', 'nm2123121', 'nm2125482', 'nm2127019', 'nm2127315', 'nm2127736', 'nm2128139', 'nm2128244', 'nm2128335', 'nm2128363', 'nm2128776', 'nm2128882', 'nm2129584', 'nm2129610', 'nm2130108', 'nm2131616', 'nm2132286', 'nm2133235', 'nm2133257', 'nm2134362', 'nm2134474', 'nm2134623', 'nm2139803', 'nm2140186', 'nm2145328', 'nm2145914', 'nm2146368', 'nm2148234', 'nm2148630', 'nm2149627', 'nm2151556', 'nm2151573', 'nm2152973', 'nm2153008', 'nm2153088', 'nm2153361', 'nm2155757', 'nm2157767', 'nm2158763', 'nm2158772', 'nm2161466', 'nm2167024', 'nm2169003', 'nm2170526', 'nm2175639', 'nm2178400', 'nm2178458', 'nm2182866', 'nm2183118', 'nm2188408', 'nm2189857', 'nm2190815', 'nm2193504', 'nm2196468', 'nm2197777', 'nm2198421', 'nm2202870', 'nm2203532', 'nm2206349', 'nm2206685', 'nm2207092', 'nm2207307', 'nm2207625', 'nm2209378', 'nm2209781', 'nm2210720', 'nm2212439', 'nm2214307', 'nm2216409', 'nm2216909', 'nm2217930', 'nm2218266', 'nm2223783', 'nm2227980', 'nm2235400', 'nm2244088', 'nm2247200', 'nm2253409', 'nm2253562', 'nm2253934', 'nm2253990', 'nm2256873', 'nm2259353', 'nm2259596', 'nm2260751', 'nm2260872', 'nm2262138', 'nm2263683', 'nm2264935', 'nm2265822', 'nm2268014', 'nm2270017', 'nm2270558', 'nm2270935', 'nm2271931', 'nm2273232', 'nm2275000', 'nm2276298', 'nm2276864', 'nm2277169', 'nm2278442', 'nm2278537', 'nm2282597', 'nm2282844', 'nm2284484', 'nm2285493', 'nm2285536', 'nm2285944', 'nm2286906', 'nm2287741', 'nm2288328', 'nm2289860', 'nm2293201', 'nm2294243', 'nm2295540', 'nm2296528', 'nm2298645', 'nm2299718', 'nm2300117', 'nm2300570', 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'nm3777635', 'nm3781354', 'nm3783913', 'nm3785637', 'nm3785834', 'nm3786153', 'nm3787020', 'nm3789179', 'nm3789488', 'nm3792134', 'nm3794230', 'nm3796250', 'nm3797575', 'nm3798034', 'nm3802774', 'nm3803069', 'nm3804074', 'nm3804586', 'nm3806503', 'nm3812687', 'nm3815263', 'nm3815946', 'nm3816678', 'nm3817182', 'nm3817317', 'nm3818919', 'nm3819217', 'nm3819933', 'nm3820149', 'nm3821224', 'nm3826513', 'nm3832545', 'nm3833219', 'nm3834799', 'nm3837694', 'nm3838717', 'nm3842008', 'nm3842127', 'nm3842189', 'nm3842295', 'nm3842306', 'nm3842370', 'nm3842580', 'nm3842626', 'nm3844044', 'nm3846539', 'nm3849565', 'nm3852987', 'nm3859342', 'nm3859682', 'nm3861038', 'nm3862209', 'nm3867193', 'nm3868633', 'nm3877467', 'nm3877827', 'nm3884245', 'nm3885065', 'nm3887727', 'nm3887934', 'nm3888862', 'nm3891152', 'nm3901850', 'nm3906778', 'nm3907556', 'nm3907840', 'nm3908954', 'nm3911822', 'nm3914507', 'nm3914644', 'nm3915542', 'nm3927264', 'nm3929259', 'nm3929515', 'nm3934188', 'nm3936368', 'nm3938246', 'nm3941663', 'nm3951005', 'nm3951208', 'nm3951225', 'nm3951914', 'nm3953629', 'nm3961122', 'nm3961347', 'nm3963257', 'nm3963765', 'nm3964742', 'nm3965248', 'nm3968825', 'nm3969329', 'nm3971394', 'nm3973794', 'nm3976308', 'nm3977937', 'nm3980560', 'nm3987270', 'nm3988854', 'nm3989826', 'nm3998180', 'nm4001246', 'nm4005810', 'nm4014166', 'nm4017355', 'nm4017552', 'nm4021106', 'nm4021837', 'nm4023702', 'nm4028848', 'nm4029254', 'nm4029670', 'nm4033583', 'nm4033845', 'nm4035001', 'nm4037204', 'nm4040545', 'nm4042990', 'nm4043005', 'nm4050491', 'nm4054362', 'nm4054708', 'nm4055378', 'nm4060519', 'nm4060714', 'nm4060924', 'nm4061153', 'nm4064236', 'nm4065475', 'nm4068941', 'nm4074404', 'nm4074500', 'nm4077057', 'nm4078029', 'nm4078209', 'nm4078217', 'nm4078303', 'nm4080113', 'nm4082771', 'nm4090848', 'nm4092799', 'nm4092908', 'nm4093647', 'nm4097598', 'nm4098234', 'nm4099092', 'nm4099985', 'nm4100260', 'nm4100716', 'nm4101822', 'nm4104149', 'nm4105480', 'nm4106410', 'nm4111644', 'nm4114096', 'nm4116233', 'nm4120252', 'nm4122633', 'nm4123624', 'nm4127252', 'nm4127778', 'nm4130937', 'nm4132577', 'nm4136807', 'nm4138474', 'nm4139584', 'nm4141599', 'nm4142559', 'nm4142695', 'nm4142927', 'nm4145507', 'nm4146381', 'nm4146781', 'nm4147660', 'nm4149056', 'nm4150014', 'nm4152475', 'nm4154470', 'nm4154537', 'nm4155547', 'nm4156271', 'nm4159471', 'nm4160313', 'nm4161077', 'nm4170048', 'nm4170900', 'nm4179869', 'nm4181967', 'nm4186854', 'nm4193707', 'nm4201676', 'nm4204065', 'nm4209164', 'nm4209533', 'nm4219902', 'nm4220517', 'nm4223986', 'nm4227690', 'nm4233528', 'nm4238438', 'nm4240768', 'nm4242883', 'nm4244841', 'nm4248287', 'nm4248415', 'nm4248795', 'nm4249132', 'nm4251580', 'nm4254183', 'nm4256221', 'nm4257365', 'nm4259286', 'nm4259348', 'nm4261164', 'nm4261463', 'nm4265384', 'nm4271149', 'nm4273797', 'nm4275597', 'nm4277786', 'nm4282732', 'nm4285196', 'nm4285728', 'nm4285836', 'nm4287208', 'nm4287375', 'nm4289726', 'nm4291271', 'nm4293131', 'nm4293909', 'nm4297161', 'nm4299582', 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'nm4977155', 'nm4977297', 'nm4986697', 'nm4989098', 'nm4991744', 'nm4998490', 'nm4998869', 'nm4999043', 'nm4999596', 'nm4999608', 'nm5002112', 'nm5002708', 'nm5008549', 'nm5022546', 'nm5024832', 'nm5027657', 'nm5029795', 'nm5031882', 'nm5039000', 'nm5052713', 'nm5055373', 'nm5056682', 'nm5059164', 'nm5061479', 'nm5064995', 'nm5065668', 'nm5069541', 'nm5075532', 'nm5076056', 'nm5078454', 'nm5090040', 'nm5090043', 'nm5092688', 'nm5097773', 'nm5098802', 'nm5098915', 'nm5100377', 'nm5105722', 'nm5106831', 'nm5112845', 'nm5117908', 'nm5121300', 'nm5132191', 'nm5133487', 'nm5139741', 'nm5142155', 'nm5143724', 'nm5143813', 'nm5146663', 'nm5151022', 'nm5152893', 'nm5154260', 'nm5156926', 'nm5163400', 'nm5164578', 'nm5173203', 'nm5175050', 'nm5181732', 'nm5188854', 'nm5193241', 'nm5201307', 'nm5208146', 'nm5209006', 'nm5210422', 'nm5222245', 'nm5222960', 'nm5225025', 'nm5230280', 'nm5238285', 'nm5238372', 'nm5243958', 'nm5245325', 'nm5246898', 'nm5249757', 'nm5253723', 'nm5277246', 'nm5282122', 'nm5286594', 'nm5287384', 'nm5287602', 'nm5293313', 'nm5293512', 'nm5293610', 'nm5293961', 'nm5294249', 'nm5294385', 'nm5295795', 'nm5296100', 'nm5297965', 'nm5300748', 'nm5302037', 'nm5304671', 'nm5313125', 'nm5315545', 'nm5319181', 'nm5320889', 'nm5328353', 'nm5332002', 'nm5349451', 'nm5351681', 'nm5358492', 'nm5362414', 'nm5364864', 'nm5366274', 'nm5367327', 'nm5370875', 'nm5374026', 'nm5379533', 'nm5386710', 'nm5389692', 'nm5390334', 'nm5391700', 'nm5393650', 'nm5396854', 'nm5402075', 'nm5402280', 'nm5402556', 'nm5405354', 'nm5415208', 'nm5415220', 'nm5419447', 'nm5425877', 'nm5427467', 'nm5428976', 'nm5451361', 'nm5451986', 'nm5461586', 'nm5464371', 'nm5464408', 'nm5464740', 'nm5468450', 'nm5469139', 'nm5471366', 'nm5472963', 'nm5473172', 'nm5479368', 'nm5479736', 'nm5480120', 'nm5484821', 'nm5485169', 'nm5485894', 'nm5489823', 'nm5496621', 'nm5497302', 'nm5501975', 'nm5508088', 'nm5510844', 'nm5516767', 'nm5518137', 'nm5536139', 'nm5547881', 'nm5553479', 'nm5560029', 'nm5565667', 'nm5566171', 'nm5570100', 'nm5571414', 'nm5577958', 'nm5581131', 'nm5582325', 'nm5582587', 'nm5589501', 'nm5593337', 'nm5594221', 'nm5595979', 'nm5597474', 'nm5598183', 'nm5602244', 'nm5603271', 'nm5604086', 'nm5604887', 'nm5608371', 'nm5608594', 'nm5610859', 'nm5615002', 'nm5616333', 'nm5619257', 'nm5619726', 'nm5621878', 'nm5622479', 'nm5622738', 'nm5627073', 'nm5629277', 'nm5637362', 'nm5642951', 'nm5645217', 'nm5645761', 'nm5649607', 'nm5653775', 'nm5657068', 'nm5662583', 'nm5663638', 'nm5663803', 'nm5663935', 'nm5664033', 'nm5674565', 'nm5675000', 'nm5676978', 'nm5679126', 'nm5679377', 'nm5681242', 'nm5682145', 'nm5684416', 'nm5685112', 'nm5688465', 'nm5688510', 'nm5692691', 'nm5693528', 'nm5693558', 'nm5696962', 'nm5703265', 'nm5706837', 'nm5709155', 'nm5709298', 'nm5710936', 'nm5711202', 'nm5712826', 'nm5717001', 'nm5719714', 'nm5721489', 'nm5722027', 'nm5729243', 'nm5735886', 'nm5741167', 'nm5744349', 'nm5747900', 'nm5754260', 'nm5754818', 'nm5755948', 'nm5762091', 'nm5765088', 'nm5769723', 'nm5774826', 'nm5779249', 'nm5792208', 'nm5793886', 'nm5796326', 'nm5796506', 'nm5820154', 'nm5827815', 'nm5831893', 'nm5832793', 'nm5835244', 'nm5835545', 'nm5844211', 'nm5849113', 'nm5856500', 'nm5860568', 'nm5861467', 'nm5876959', 'nm5878960', 'nm5880364', 'nm5887182', 'nm5889289', 'nm5889341', 'nm5891598', 'nm5894081', 'nm5901501', 'nm5901825', 'nm5904533', 'nm5905770', 'nm5910932', 'nm5913711', 'nm5938403', 'nm5940340', 'nm5945690', 'nm5958791', 'nm5970433', 'nm5972397', 'nm5982044', 'nm5983101', 'nm5987038', 'nm5993408', 'nm5993448', 'nm5995018', 'nm5999730', 'nm6000454', 'nm6003515', 'nm6007810', 'nm6010478', 'nm6010479', 'nm6016411', 'nm6017036', 'nm6020022', 'nm6020338', 'nm6026330', 'nm6029323', 'nm6031865', 'nm6033367', 'nm6037165', 'nm6048721', 'nm6051286', 'nm6064448', 'nm6064706', 'nm6069861', 'nm6073824', 'nm6078016', 'nm6085179', 'nm6089329', 'nm6097978', 'nm6097994', 'nm6100032', 'nm6112161', 'nm6119117', 'nm6120217', 'nm6136445', 'nm6141558', 'nm6141714', 'nm6142895', 'nm6144251', 'nm6145284', 'nm6153366', 'nm6157331', 'nm6157487', 'nm6160424', 'nm6166094', 'nm6168104', 'nm6171952', 'nm6174515', 'nm6174517', 'nm6200114', 'nm6205218', 'nm6212222', 'nm6212223', 'nm6212296', 'nm6213247', 'nm6218837', 'nm6221606', 'nm6232113', 'nm6235504', 'nm6236953', 'nm6242100', 'nm6249248', 'nm6249843', 'nm6249845', 'nm6250496', 'nm6258088', 'nm6264495', 'nm6265097', 'nm6269395', 'nm6276494', 'nm6286329', 'nm6288580', 'nm6293229', 'nm6294482', 'nm6296990', 'nm6297589', 'nm6297600', 'nm6297608', 'nm6297613', 'nm6297649', 'nm6297652', 'nm6303173', 'nm6307328', 'nm6334540', 'nm6336449', 'nm6337063', 'nm6337800', 'nm6340499', 'nm6342247', 'nm6342471', 'nm6355885', 'nm6356973', 'nm6363756', 'nm6368125', 'nm6376309', 'nm6377942', 'nm6387954', 'nm6390439', 'nm6392658', 'nm6394867', 'nm6399399', 'nm6405577', 'nm6415609', 'nm6417467', 'nm6419043', 'nm6422804', 'nm6427447', 'nm6428180', 'nm6428181', 'nm6431477', 'nm6433472', 'nm6436658', 'nm6447135', 'nm6451383', 'nm6456477', 'nm6458072', 'nm6458915', 'nm6461537', 'nm6470216', 'nm6474441', 'nm6475689', 'nm6482910', 'nm6485168', 'nm6487448', 'nm6487649', 'nm6489637', 'nm6499573', 'nm6504982', 'nm6508110', 'nm6513058', 'nm6516587', 'nm6520869', 'nm6521630', 'nm6526715', 'nm6527118', 'nm6530002', 'nm6530910', 'nm6530911', 'nm6530912', 'nm6530913', 'nm6530914', 'nm6530915', 'nm6530916', 'nm6530918', 'nm6530919', 'nm6530920', 'nm6530922', 'nm6532943', 'nm6534872', 'nm6555325', 'nm6557337', 'nm6579202', 'nm6582133', 'nm6593191', 'nm6595521', 'nm6603274', 'nm6605312', 'nm6607191', 'nm6617615', 'nm6617820', 'nm6621245', 'nm6621485', 'nm6624722', 'nm6637722', 'nm6638284', 'nm6649966', 'nm6660754', 'nm6662806', 'nm6663156', 'nm6667592', 'nm6672273', 'nm6676487', 'nm6682916', 'nm6694031', 'nm6694234', 'nm6695356', 'nm6711059', 'nm6716153', 'nm6716793', 'nm6720155', 'nm6725254', 'nm6733309', 'nm6735778', 'nm6736610', 'nm6746115', 'nm6750289', 'nm6751738', 'nm6759641', 'nm6766189', 'nm6767246', 'nm6786064', 'nm6793979', 'nm6817122', 'nm6826585', 'nm6828035', 'nm6840460', 'nm6844247', 'nm6847198', 'nm6850073', 'nm6859022', 'nm6860225', 'nm6862241', 'nm6870668', 'nm6875639', 'nm6875783', 'nm6884499', 'nm6884753', 'nm6889181', 'nm6895146', 'nm6916508', 'nm6930231', 'nm6937276', 'nm6940176', 'nm6940206', 'nm6940581', 'nm6946481', 'nm6958582', 'nm6959954', 'nm6968785', 'nm6972592', 'nm6975777', 'nm6995804', 'nm7008400', 'nm7015905', 'nm7031114', 'nm7051006', 'nm7052734', 'nm7065035', 'nm7065036', 'nm7068664', 'nm7072762', 'nm7076039', 'nm7096483', 'nm7101998', 'nm7102845', 'nm7109429', 'nm7110804', 'nm7112480', 'nm7112708', 'nm7119198', 'nm7134179', 'nm7147982', 'nm7159655', 'nm7165575', 'nm7182750', 'nm7186354', 'nm7187927', 'nm7188710', 'nm7191235', 'nm7198587', 'nm7198588', 'nm7198589', 'nm7202086', 'nm7209418', 'nm7211413', 'nm7214191', 'nm7223134', 'nm7239446', 'nm7242786', 'nm7243877', 'nm7265633', 'nm7276660', 'nm7284478', 'nm7287167', 'nm7301635', 'nm7302213', 'nm7303747', 'nm7307354', 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'nm7717144', 'nm7723138', 'nm7725115', 'nm7729115', 'nm7730795', 'nm7744954', 'nm7745473', 'nm7745541', 'nm7745724', 'nm7749862', 'nm7766080', 'nm7808673', 'nm7834233', 'nm7837491', 'nm7845641', 'nm7847522', 'nm7872193', 'nm7882203', 'nm7896794', 'nm7898605', 'nm7898606', 'nm7898825', 'nm7901853', 'nm7905703', 'nm7907999', 'nm7909558', 'nm7916579', 'nm7919195', 'nm7920254', 'nm7930896', 'nm7932095', 'nm7933605', 'nm7947822', 'nm7947870', 'nm7950804', 'nm7954017', 'nm7968924', 'nm7992231', 'nm8001177', 'nm8001323', 'nm8013809', 'nm8015244', 'nm8015276', 'nm8018759', 'nm8027583', 'nm8027731', 'nm8046930', 'nm8056192', 'nm8065855', 'nm8066994', 'nm8067064', 'nm8083973', 'nm8093993', 'nm8142058', 'nm8150307', 'nm8161794', 'nm8162022', 'nm8165104', 'nm8185972', 'nm8186001', 'nm8192954', 'nm8192995', 'nm8206909', 'nm8208564', 'nm8217935', 'nm8220050', 'nm8229144', 'nm8234082', 'nm8260883', 'nm8267846', 'nm8272772', 'nm8274294', 'nm8274517', 'nm8274579', 'nm8283666', 'nm8285859', 'nm8289742', 'nm8293167', 'nm8302351', 'nm8302936', 'nm8318101', 'nm8342077', 'nm8342410', 'nm8358246', 'nm8359876', 'nm8370579', 'nm8375627', 'nm8378616', 'nm8381944', 'nm8382431', 'nm8382812', 'nm8382859', 'nm8383036', 'nm8386217', 'nm8391920', 'nm8400459', 'nm8401218', 'nm8420391', 'nm8429856', 'nm8434851', 'nm8446543', 'nm8450196', 'nm8451296', 'nm8451583', 'nm8456831', 'nm8460699', 'nm8467955', 'nm8490915', 'nm8491246', 'nm8507928', 'nm8509498', 'nm8511266', 'nm8511282', 'nm8511295', 'nm8522843', 'nm8529186', 'nm8546743', 'nm8572990', 'nm8575245', 'nm8575502', 'nm8577063', 'nm8578900', 'nm8585522', 'nm8588869', 'nm8609640', 'nm8615156', 'nm8616277', 'nm8618482', 'nm8618505', 'nm8624689', 'nm8631915', 'nm8642604', 'nm8646351', 'nm8650809', 'nm8662190', 'nm8664327', 'nm8672367', 'nm8678191', 'nm8679125', 'nm8684196', 'nm8689375', 'nm8694244', 'nm8696537', 'nm8697522', 'nm8701995', 'nm8705238', 'nm8706551', 'nm8711436', 'nm8717928', 'nm8720641', 'nm8721030', 'nm8744983', 'nm8750704', 'nm8754224', 'nm8758198', 'nm8767460', 'nm8805181', 'nm8824211', 'nm8846406', 'nm8847265', 'nm8847907', 'nm8850152', 'nm8851932', 'nm8857559', 'nm8859431', 'nm8869585', 'nm8872996', 'nm8892771', 'nm8899901', 'nm8905832', 'nm8908039', 'nm8920834', 'nm8928699', 'nm8936275', 'nm8953987', 'nm8965312', 'nm8965400', 'nm8971373', 'nm8976134', 'nm8978764', 'nm8979289', 'nm8994630', 'nm8995421', 'nm8996758', 'nm9002952', 'nm9009942', 'nm9028200', 'nm9031033', 'nm9031186', 'nm9033738', 'nm9039174', 'nm9045599', 'nm9048447', 'nm9048613', 'nm9054338', 'nm9070209', 'nm9070213', 'nm9075613', 'nm9076788', 'nm9081649', 'nm9089349', 'nm9094175', 'nm9094689', 'nm9094906', 'nm9106804', 'nm9116454', 'nm9122470', 'nm9158938', 'nm9197180', 'nm9211526', 'nm9218697', 'nm9222660', 'nm9230208', 'nm9241193', 'nm9242150', 'nm9246408', 'nm9250411', 'nm9259847', 'nm9259848', 'nm9264299', 'nm9264322', 'nm9265432', 'nm9267956', 'nm9270746', 'nm9276091', 'nm9277518', 'nm9282974', 'nm9284012', 'nm9297525', 'nm9300775', 'nm9301502', 'nm9304112', 'nm9307584', 'nm9310815', 'nm9317246', 'nm9319967', 'nm9322484', 'nm9322578', 'nm9328647', 'nm9337462', 'nm9348930', 'nm9353749', 'nm9362954', 'nm9363543', 'nm9372733', 'nm9388098', 'nm9400095', 'nm9406059', 'nm9409111', 'nm9426285', 'nm9443913', 'nm9451696', 'nm9458471', 'nm9484608', 'nm9491634', 'nm9493078', 'nm9496779', 'nm9542796', 'nm9547862', 'nm9551788', 'nm9564777', 'nm9564790', 'nm9564795', 'nm9573987', 'nm9578667', 'nm9590075', 'nm9604965', 'nm9614656', 'nm9615103', 'nm9615809', 'nm9622107', 'nm9634085', 'nm9636367', 'nm9644958', 'nm9645596', 'nm9649026', 'nm9671684', 'nm9687793', 'nm9689249', 'nm9689544', 'nm9689938', 'nm9689976', 'nm9695289', 'nm9700812', 'nm9705269', 'nm9708369', 'nm9714495', 'nm9732680', 'nm9753377', 'nm9775883', 'nm9776000', 'nm9783168', 'nm9799186', 'nm9801422', 'nm9817604', 'nm9822619', 'nm9822625', 'nm9824984', 'nm9824985', 'nm9829125', 'nm9834016', 'nm9837588', 'nm9838782', 'nm9844469', 'nm9873967', 'nm9882733', 'nm9886807', 'nm9913957', 'nm9931859', 'nm9935672', 'nm9938454', 'nm9952702', 'nm9952703', 'nm9959340', 'nm9970487', 'nm9980622', 'nm9986784', 'nm9989001']\n"
     ]
    },
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       "      <th></th>\n",
       "      <th>\\N</th>\n",
       "      <th>nm0000005</th>\n",
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       "</table>\n",
       "<p>9525 rows × 6667 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      \\N  nm0000005  nm0000008  nm0000019  nm0000033  nm0000037  nm0000040  \\\n",
       "0      0          0          0          0          0          0          0   \n",
       "1      0          0          0          0          0          0          0   \n",
       "2      0          0          0          0          0          0          0   \n",
       "3      0          0          0          0          0          0          0   \n",
       "4      0          0          0          0          0          0          0   \n",
       "...   ..        ...        ...        ...        ...        ...        ...   \n",
       "9520   0          0          0          0          0          0          0   \n",
       "9521   0          0          0          0          0          0          0   \n",
       "9522   0          0          0          0          0          0          0   \n",
       "9523   0          0          0          0          0          0          0   \n",
       "9524   0          0          0          0          0          0          0   \n",
       "\n",
       "      nm0000041  nm0000056  nm0000076  ...  nm9931859  nm9935672  nm9938454  \\\n",
       "0             0          0          0  ...          0          0          0   \n",
       "1             0          0          0  ...          0          0          0   \n",
       "2             0          0          0  ...          0          0          0   \n",
       "3             0          0          0  ...          0          0          0   \n",
       "4             0          0          0  ...          0          0          0   \n",
       "...         ...        ...        ...  ...        ...        ...        ...   \n",
       "9520          0          0          0  ...          0          0          0   \n",
       "9521          0          0          0  ...          0          0          0   \n",
       "9522          0          0          0  ...          0          0          0   \n",
       "9523          0          0          0  ...          0          0          0   \n",
       "9524          0          0          0  ...          0          0          0   \n",
       "\n",
       "      nm9952702  nm9952703  nm9959340  nm9970487  nm9980622  nm9986784  \\\n",
       "0             0          0          0          0          0          0   \n",
       "1             0          0          0          0          0          0   \n",
       "2             0          0          0          0          0          0   \n",
       "3             0          0          0          0          0          0   \n",
       "4             0          0          0          0          0          0   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "9520          0          0          0          0          0          0   \n",
       "9521          0          0          0          0          0          0   \n",
       "9522          0          0          0          0          0          0   \n",
       "9523          0          0          0          0          0          0   \n",
       "9524          0          0          0          0          0          0   \n",
       "\n",
       "      nm9989001  \n",
       "0             0  \n",
       "1             0  \n",
       "2             0  \n",
       "3             0  \n",
       "4             0  \n",
       "...         ...  \n",
       "9520          0  \n",
       "9521          0  \n",
       "9522          0  \n",
       "9523          0  \n",
       "9524          0  \n",
       "\n",
       "[9525 rows x 6667 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_directors_combinations = final_metadata_with_overview['directors'].unique()\n",
    "# unique_directors_combinations.__len__()\n",
    "unique_directors = set()\n",
    "\n",
    "for combination in unique_directors_combinations:\n",
    "    directors = combination.split(',')\n",
    "    unique_directors.update(directors)\n",
    "\n",
    "print(sorted(unique_directors))\n",
    "directors_one_hot_encoded = final_metadata_with_overview.directors.str.get_dummies(sep=',')\n",
    "# final_metadata_with_overview[directors_one_hot_encoded.sum(axis=1) > 1]\n",
    "directors_one_hot_encoded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['nm0000001', 'nm0000002', 'nm0000003', 'nm0000004', 'nm0000006', 'nm0000007', 'nm0000008', 'nm0000009', 'nm0000010', 'nm0000011', 'nm0000012', 'nm0000013', 'nm0000014', 'nm0000015', 'nm0000017', 'nm0000018', 'nm0000020', 'nm0000021', 'nm0000022', 'nm0000023', 'nm0000024', 'nm0000026', 'nm0000027', 'nm0000030', 'nm0000031', 'nm0000032', 'nm0000034', 'nm0000037', 'nm0000038', 'nm0000039', 'nm0000042', 'nm0000044', 'nm0000045', 'nm0000046', 'nm0000047', 'nm0000048', 'nm0000051', 'nm0000052', 'nm0000053', 'nm0000054', 'nm0000056', 'nm0000057', 'nm0000058', 'nm0000059', 'nm0000060', 'nm0000062', 'nm0000063', 'nm0000064', 'nm0000066', 'nm0000069', 'nm0000071', 'nm0000072', 'nm0000073', 'nm0000075', 'nm0000076', 'nm0000078', 'nm0000079', 'nm0000080', 'nm0000081', 'nm0000084', 'nm0000086', 'nm0000090', 'nm0000092', 'nm0000093', 'nm0000095', 'nm0000096', 'nm0000097', 'nm0000098', 'nm0000099', 'nm0000101', 'nm0000102', 'nm0000103', 'nm0000104', 'nm0000105', 'nm0000106', 'nm0000107', 'nm0000110', 'nm0000111', 'nm0000112', 'nm0000113', 'nm0000114', 'nm0000115', 'nm0000117', 'nm0000119', 'nm0000120', 'nm0000121', 'nm0000122', 'nm0000123', 'nm0000124', 'nm0000125', 'nm0000126', 'nm0000128', 'nm0000129', 'nm0000130', 'nm0000131', 'nm0000132', 'nm0000133', 'nm0000134', 'nm0000136', 'nm0000137', 'nm0000138', 'nm0000139', 'nm0000140', 'nm0000141', 'nm0000142', 'nm0000143', 'nm0000144', 'nm0000145', 'nm0000146', 'nm0000147', 'nm0000148', 'nm0000149', 'nm0000150', 'nm0000151', 'nm0000152', 'nm0000153', 'nm0000154', 'nm0000155', 'nm0000156', 'nm0000157', 'nm0000158', 'nm0000159', 'nm0000160', 'nm0000161', 'nm0000162', 'nm0000163', 'nm0000164', 'nm0000166', 'nm0000167', 'nm0000168', 'nm0000169', 'nm0000170', 'nm0000171', 'nm0000172', 'nm0000173', 'nm0000174', 'nm0000176', 'nm0000177', 'nm0000178', 'nm0000179', 'nm0000181', 'nm0000182', 'nm0000183', 'nm0000185', 'nm0000187', 'nm0000188', 'nm0000190', 'nm0000191', 'nm0000192', 'nm0000193', 'nm0000194', 'nm0000195', 'nm0000196', 'nm0000197', 'nm0000198', 'nm0000199', 'nm0000200', 'nm0000201', 'nm0000202', 'nm0000203', 'nm0000204', 'nm0000205', 'nm0000206', 'nm0000207', 'nm0000208', 'nm0000209', 'nm0000210', 'nm0000211', 'nm0000212', 'nm0000213', 'nm0000214', 'nm0000215', 'nm0000216', 'nm0000218', 'nm0000219', 'nm0000220', 'nm0000221', 'nm0000222', 'nm0000223', 'nm0000224', 'nm0000225', 'nm0000226', 'nm0000227', 'nm0000228', 'nm0000230', 'nm0000232', 'nm0000233', 'nm0000234', 'nm0000235', 'nm0000236', 'nm0000237', 'nm0000238', 'nm0000239', 'nm0000240', 'nm0000241', 'nm0000242', 'nm0000243', 'nm0000244', 'nm0000245', 'nm0000246', 'nm0000249', 'nm0000250', 'nm0000254', 'nm0000255', 'nm0000256', 'nm0000257', 'nm0000259', 'nm0000260', 'nm0000261', 'nm0000262', 'nm0000263', 'nm0000266', 'nm0000267', 'nm0000268', 'nm0000270', 'nm0000271', 'nm0000272', 'nm0000273', 'nm0000274', 'nm0000275', 'nm0000276', 'nm0000277', 'nm0000279', 'nm0000283', 'nm0000284', 'nm0000285', 'nm0000286', 'nm0000287', 'nm0000288', 'nm0000289', 'nm0000291', 'nm0000293', 'nm0000294', 'nm0000295', 'nm0000296', 'nm0000297', 'nm0000298', 'nm0000299', 'nm0000300', 'nm0000301', 'nm0000302', 'nm0000304', 'nm0000305', 'nm0000306', 'nm0000307', 'nm0000308', 'nm0000309', 'nm0000310', 'nm0000313', 'nm0000314', 'nm0000315', 'nm0000316', 'nm0000317', 'nm0000319', 'nm0000321', 'nm0000322', 'nm0000323', 'nm0000325', 'nm0000326', 'nm0000327', 'nm0000328', 'nm0000329', 'nm0000331', 'nm0000332', 'nm0000333', 'nm0000334', 'nm0000335', 'nm0000336', 'nm0000337', 'nm0000340', 'nm0000342', 'nm0000344', 'nm0000345', 'nm0000346', 'nm0000347', 'nm0000348', 'nm0000349', 'nm0000350', 'nm0000352', 'nm0000353', 'nm0000354', 'nm0000356', 'nm0000358', 'nm0000360', 'nm0000362', 'nm0000364', 'nm0000365', 'nm0000366', 'nm0000367', 'nm0000368', 'nm0000369', 'nm0000372', 'nm0000374', 'nm0000375', 'nm0000377', 'nm0000378', 'nm0000379', 'nm0000380', 'nm0000381', 'nm0000383', 'nm0000384', 'nm0000385', 'nm0000387', 'nm0000388', 'nm0000389', 'nm0000391', 'nm0000393', 'nm0000397', 'nm0000398', 'nm0000400', 'nm0000401', 'nm0000402', 'nm0000403', 'nm0000404', 'nm0000407', 'nm0000409', 'nm0000411', 'nm0000412', 'nm0000413', 'nm0000414', 'nm0000415', 'nm0000416', 'nm0000417', 'nm0000418', 'nm0000419', 'nm0000420', 'nm0000421', 'nm0000422', 'nm0000423', 'nm0000424', 'nm0000426', 'nm0000427', 'nm0000429', 'nm0000430', 'nm0000432', 'nm0000433', 'nm0000434', 'nm0000435', 'nm0000437', 'nm0000438', 'nm0000439', 'nm0000441', 'nm0000442', 'nm0000443', 'nm0000444', 'nm0000445', 'nm0000446', 'nm0000448', 'nm0000449', 'nm0000450', 'nm0000451', 'nm0000453', 'nm0000454', 'nm0000456', 'nm0000457', 'nm0000458', 'nm0000459', 'nm0000460', 'nm0000461', 'nm0000463', 'nm0000465', 'nm0000467', 'nm0000468', 'nm0000469', 'nm0000470', 'nm0000471', 'nm0000472', 'nm0000473', 'nm0000474', 'nm0000475', 'nm0000476', 'nm0000478', 'nm0000480', 'nm0000481', 'nm0000482', 'nm0000483', 'nm0000486', 'nm0000489', 'nm0000490', 'nm0000491', 'nm0000492', 'nm0000493', 'nm0000494', 'nm0000495', 'nm0000496', 'nm0000497', 'nm0000498', 'nm0000499', 'nm0000500', 'nm0000501', 'nm0000502', 'nm0000505', 'nm0000506', 'nm0000507', 'nm0000508', 'nm0000509', 'nm0000510', 'nm0000511', 'nm0000513', 'nm0000514', 'nm0000515', 'nm0000516', 'nm0000518', 'nm0000521', 'nm0000523', 'nm0000524', 'nm0000525', 'nm0000526', 'nm0000527', 'nm0000528', 'nm0000530', 'nm0000531', 'nm0000532', 'nm0000534', 'nm0000535', 'nm0000537', 'nm0000538', 'nm0000539', 'nm0000541', 'nm0000542', 'nm0000543', 'nm0000545', 'nm0000546', 'nm0000547', 'nm0000549', 'nm0000551', 'nm0000552', 'nm0000553', 'nm0000554', 'nm0000555', 'nm0000556', 'nm0000557', 'nm0000558', 'nm0000559', 'nm0000560', 'nm0000562', 'nm0000563', 'nm0000564', 'nm0000565', 'nm0000566', 'nm0000569', 'nm0000571', 'nm0000572', 'nm0000574', 'nm0000575', 'nm0000576', 'nm0000577', 'nm0000578', 'nm0000579', 'nm0000582', 'nm0000585', 'nm0000586', 'nm0000587', 'nm0000588', 'nm0000593', 'nm0000596', 'nm0000597', 'nm0000598', 'nm0000599', 'nm0000601', 'nm0000602', 'nm0000603', 'nm0000604', 'nm0000605', 'nm0000606', 'nm0000608', 'nm0000609', 'nm0000610', 'nm0000612', 'nm0000613', 'nm0000614', 'nm0000615', 'nm0000616', 'nm0000617', 'nm0000618', 'nm0000619', 'nm0000620', 'nm0000621', 'nm0000622', 'nm0000623', 'nm0000624', 'nm0000625', 'nm0000627', 'nm0000628', 'nm0000630', 'nm0000634', 'nm0000639', 'nm0000640', 'nm0000641', 'nm0000642', 'nm0000643', 'nm0000648', 'nm0000650', 'nm0000651', 'nm0000652', 'nm0000654', 'nm0000655', 'nm0000656', 'nm0000657', 'nm0000658', 'nm0000659', 'nm0000661', 'nm0000662', 'nm0000663', 'nm0000664', 'nm0000666', 'nm0000667', 'nm0000668', 'nm0000669', 'nm0000670', 'nm0000671', 'nm0000672', 'nm0000673', 'nm0000675', 'nm0000676', 'nm0000677', 'nm0000678', 'nm0000679', 'nm0000680', 'nm0000681', 'nm0000683', 'nm0000685', 'nm0000686', 'nm0000687', 'nm0000688', 'nm0000689', 'nm0000690', 'nm0000691', 'nm0000693', 'nm0000695', 'nm0000696', 'nm0000698', 'nm0000699', 'nm0000700', 'nm0000701', 'nm0000702', 'nm0000703', 'nm0000704', 'nm0000705', 'nm0000706', 'nm0000707', 'nm0000708', 'nm0000717', 'nm0000718', 'nm0000719', 'nm0000721', 'nm0000722', 'nm0000724', 'nm0000725', 'nm0000726', 'nm0000728', 'nm0000729', 'nm0000732', 'nm0000733', 'nm0000734', 'nm0000737', 'nm0000739', 'nm0000741', 'nm0000744', 'nm0000746', 'nm0000747', 'nm0000749', 'nm0000752', 'nm0000754', 'nm0000758', 'nm0000761', 'nm0000763', 'nm0000767', 'nm0000768', 'nm0000771', 'nm0000773', 'nm0000775', 'nm0000782', 'nm0000783', 'nm0000784', 'nm0000792', 'nm0000793', 'nm0000795', 'nm0000799', 'nm0000800', 'nm0000803', 'nm0000804', 'nm0000805', 'nm0000809', 'nm0000811', 'nm0000817', 'nm0000818', 'nm0000819', 'nm0000821', 'nm0000822', 'nm0000826', 'nm0000832', 'nm0000833', 'nm0000834', 'nm0000837', 'nm0000838', 'nm0000842', 'nm0000843', 'nm0000849', 'nm0000852', 'nm0000855', 'nm0000859', 'nm0000860', 'nm0000862', 'nm0000865', 'nm0000867', 'nm0000869', 'nm0000870', 'nm0000871', 'nm0000872', 'nm0000874', 'nm0000877', 'nm0000879', 'nm0000882', 'nm0000883', 'nm0000884', 'nm0000885', 'nm0000886', 'nm0000889', 'nm0000893', 'nm0000895', 'nm0000896', 'nm0000897', 'nm0000899', 'nm0000901', 'nm0000902', 'nm0000905', 'nm0000906', 'nm0000907', 'nm0000908', 'nm0000911', 'nm0000913', 'nm0000917', 'nm0000918', 'nm0000919', 'nm0000920', 'nm0000922', 'nm0000924', 'nm0000925', 'nm0000928', 'nm0000929', 'nm0000931', 'nm0000932', 'nm0000935', 'nm0000936', 'nm0000937', 'nm0000942', 'nm0000945', 'nm0000947', 'nm0000949', 'nm0000950', 'nm0000951', 'nm0000953', 'nm0000956', 'nm0000959', 'nm0000960', 'nm0000961', 'nm0000962', 'nm0000963', 'nm0000964', 'nm0000966', 'nm0000968', 'nm0000969', 'nm0000971', 'nm0000972', 'nm0000973', 'nm0000974', 'nm0000977', 'nm0000978', 'nm0000979', 'nm0000980', 'nm0000981', 'nm0000982', 'nm0000983', 'nm0000986', 'nm0000987', 'nm0000989', 'nm0000991', 'nm0000993', 'nm0000995', 'nm0000997', 'nm0000998', 'nm0000999', 'nm0001001', 'nm0001003', 'nm0001006', 'nm0001007', 'nm0001009', 'nm0001012', 'nm0001015', 'nm0001016', 'nm0001017', 'nm0001018', 'nm0001019', 'nm0001020', 'nm0001021', 'nm0001022', 'nm0001023', 'nm0001024', 'nm0001025', 'nm0001026', 'nm0001028', 'nm0001029', 'nm0001030', 'nm0001033', 'nm0001034', 'nm0001035', 'nm0001036', 'nm0001037', 'nm0001038', 'nm0001040', 'nm0001041', 'nm0001042', 'nm0001043', 'nm0001044', 'nm0001045', 'nm0001046', 'nm0001049', 'nm0001050', 'nm0001055', 'nm0001056', 'nm0001057', 'nm0001058', 'nm0001059', 'nm0001062', 'nm0001064', 'nm0001065', 'nm0001069', 'nm0001072', 'nm0001073', 'nm0001074', 'nm0001075', 'nm0001077', 'nm0001078', 'nm0001079', 'nm0001082', 'nm0001083', 'nm0001084', 'nm0001085', 'nm0001086', 'nm0001088', 'nm0001089', 'nm0001091', 'nm0001092', 'nm0001095', 'nm0001096', 'nm0001097', 'nm0001098', 'nm0001099', 'nm0001100', 'nm0001101', 'nm0001103', 'nm0001107', 'nm0001108', 'nm0001109', 'nm0001110', 'nm0001111', 'nm0001113', 'nm0001114', 'nm0001115', 'nm0001116', 'nm0001117', 'nm0001119', 'nm0001121', 'nm0001122', 'nm0001123', 'nm0001125', 'nm0001127', 'nm0001128', 'nm0001131', 'nm0001132', 'nm0001133', 'nm0001136', 'nm0001137', 'nm0001141', 'nm0001142', 'nm0001143', 'nm0001145', 'nm0001146', 'nm0001147', 'nm0001148', 'nm0001151', 'nm0001153', 'nm0001156', 'nm0001157', 'nm0001158', 'nm0001159', 'nm0001160', 'nm0001162', 'nm0001163', 'nm0001164', 'nm0001165', 'nm0001166', 'nm0001167', 'nm0001169', 'nm0001171', 'nm0001172', 'nm0001173', 'nm0001177', 'nm0001179', 'nm0001180', 'nm0001181', 'nm0001182', 'nm0001184', 'nm0001185', 'nm0001186', 'nm0001187', 'nm0001191', 'nm0001194', 'nm0001199', 'nm0001201', 'nm0001204', 'nm0001207', 'nm0001208', 'nm0001209', 'nm0001210', 'nm0001212', 'nm0001213', 'nm0001215', 'nm0001217', 'nm0001218', 'nm0001221', 'nm0001223', 'nm0001224', 'nm0001228', 'nm0001229', 'nm0001231', 'nm0001233', 'nm0001234', 'nm0001236', 'nm0001242', 'nm0001250', 'nm0001251', 'nm0001252', 'nm0001255', 'nm0001256', 'nm0001257', 'nm0001258', 'nm0001260', 'nm0001261', 'nm0001262', 'nm0001263', 'nm0001264', 'nm0001265', 'nm0001269', 'nm0001272', 'nm0001273', 'nm0001274', 'nm0001277', 'nm0001278', 'nm0001282', 'nm0001283', 'nm0001284', 'nm0001285', 'nm0001286', 'nm0001287', 'nm0001288', 'nm0001290', 'nm0001291', 'nm0001295', 'nm0001298', 'nm0001301', 'nm0001303', 'nm0001304', 'nm0001305', 'nm0001309', 'nm0001310', 'nm0001314', 'nm0001315', 'nm0001321', 'nm0001322', 'nm0001323', 'nm0001326', 'nm0001327', 'nm0001329', 'nm0001330', 'nm0001332', 'nm0001333', 'nm0001334', 'nm0001335', 'nm0001336', 'nm0001337', 'nm0001340', 'nm0001343', 'nm0001344', 'nm0001346', 'nm0001347', 'nm0001348', 'nm0001349', 'nm0001352', 'nm0001354', 'nm0001358', 'nm0001364', 'nm0001365', 'nm0001366', 'nm0001367', 'nm0001369', 'nm0001371', 'nm0001372', 'nm0001373', 'nm0001374', 'nm0001375', 'nm0001376', 'nm0001377', 'nm0001378', 'nm0001379', 'nm0001381', 'nm0001383', 'nm0001385', 'nm0001388', 'nm0001389', 'nm0001393', 'nm0001394', 'nm0001395', 'nm0001396', 'nm0001397', 'nm0001399', 'nm0001400', 'nm0001401', 'nm0001404', 'nm0001406', 'nm0001411', 'nm0001413', 'nm0001414', 'nm0001416', 'nm0001417', 'nm0001418', 'nm0001419', 'nm0001421', 'nm0001423', 'nm0001424', 'nm0001426', 'nm0001427', 'nm0001428', 'nm0001429', 'nm0001432', 'nm0001433', 'nm0001434', 'nm0001435', 'nm0001436', 'nm0001437', 'nm0001439', 'nm0001441', 'nm0001442', 'nm0001443', 'nm0001445', 'nm0001447', 'nm0001448', 'nm0001449', 'nm0001450', 'nm0001451', 'nm0001452', 'nm0001453', 'nm0001454', 'nm0001459', 'nm0001461', 'nm0001462', 'nm0001463', 'nm0001464', 'nm0001467', 'nm0001471', 'nm0001472', 'nm0001473', 'nm0001474', 'nm0001475', 'nm0001476', 'nm0001480', 'nm0001484', 'nm0001487', 'nm0001488', 'nm0001491', 'nm0001492', 'nm0001493', 'nm0001494', 'nm0001495', 'nm0001497', 'nm0001498', 'nm0001499', 'nm0001500', 'nm0001506', 'nm0001509', 'nm0001511', 'nm0001512', 'nm0001514', 'nm0001515', 'nm0001517', 'nm0001518', 'nm0001520', 'nm0001521', 'nm0001522', 'nm0001523', 'nm0001524', 'nm0001525', 'nm0001526', 'nm0001527', 'nm0001528', 'nm0001533', 'nm0001535', 'nm0001536', 'nm0001537', 'nm0001538', 'nm0001539', 'nm0001540', 'nm0001543', 'nm0001544', 'nm0001545', 'nm0001546', 'nm0001547', 'nm0001548', 'nm0001549', 'nm0001550', 'nm0001552', 'nm0001556', 'nm0001557', 'nm0001559', 'nm0001560', 'nm0001562', 'nm0001567', 'nm0001569', 'nm0001570', 'nm0001571', 'nm0001573', 'nm0001574', 'nm0001576', 'nm0001578', 'nm0001579', 'nm0001583', 'nm0001584', 'nm0001588', 'nm0001589', 'nm0001590', 'nm0001592', 'nm0001593', 'nm0001594', 'nm0001595', 'nm0001597', 'nm0001598', 'nm0001599', 'nm0001601', 'nm0001602', 'nm0001605', 'nm0001606', 'nm0001608', 'nm0001609', 'nm0001610', 'nm0001612', 'nm0001614', 'nm0001615', 'nm0001616', 'nm0001617', 'nm0001618', 'nm0001621', 'nm0001623', 'nm0001624', 'nm0001625', 'nm0001626', 'nm0001627', 'nm0001628', 'nm0001629', 'nm0001631', 'nm0001632', 'nm0001633', 'nm0001634', 'nm0001636', 'nm0001637', 'nm0001638', 'nm0001640', 'nm0001641', 'nm0001642', 'nm0001643', 'nm0001644', 'nm0001647', 'nm0001648', 'nm0001650', 'nm0001651', 'nm0001652', 'nm0001653', 'nm0001655', 'nm0001656', 'nm0001657', 'nm0001659', 'nm0001662', 'nm0001663', 'nm0001664', 'nm0001665', 'nm0001666', 'nm0001667', 'nm0001669', 'nm0001670', 'nm0001671', 'nm0001673', 'nm0001674', 'nm0001677', 'nm0001679', 'nm0001680', 'nm0001682', 'nm0001684', 'nm0001687', 'nm0001688', 'nm0001691', 'nm0001693', 'nm0001695', 'nm0001696', 'nm0001697', 'nm0001698', 'nm0001699', 'nm0001701', 'nm0001702', 'nm0001703', 'nm0001705', 'nm0001706', 'nm0001709', 'nm0001710', 'nm0001711', 'nm0001713', 'nm0001714', 'nm0001715', 'nm0001718', 'nm0001719', 'nm0001721', 'nm0001722', 'nm0001724', 'nm0001725', 'nm0001726', 'nm0001727', 'nm0001728', 'nm0001729', 'nm0001730', 'nm0001731', 'nm0001732', 'nm0001735', 'nm0001736', 'nm0001737', 'nm0001738', 'nm0001739', 'nm0001740', 'nm0001742', 'nm0001744', 'nm0001745', 'nm0001746', 'nm0001747', 'nm0001748', 'nm0001749', 'nm0001751', 'nm0001757', 'nm0001758', 'nm0001759', 'nm0001763', 'nm0001765', 'nm0001766', 'nm0001767', 'nm0001768', 'nm0001770', 'nm0001772', 'nm0001774', 'nm0001777', 'nm0001780', 'nm0001781', 'nm0001782', 'nm0001783', 'nm0001784', 'nm0001786', 'nm0001787', 'nm0001788', 'nm0001790', 'nm0001792', 'nm0001794', 'nm0001795', 'nm0001797', 'nm0001798', 'nm0001800', 'nm0001802', 'nm0001803', 'nm0001804', 'nm0001806', 'nm0001807', 'nm0001808', 'nm0001809', 'nm0001811', 'nm0001812', 'nm0001813', 'nm0001815', 'nm0001816', 'nm0001817', 'nm0001822', 'nm0001823', 'nm0001825', 'nm0001826', 'nm0001827', 'nm0001828', 'nm0001829', 'nm0001830', 'nm0001831', 'nm0001832', 'nm0001833', 'nm0001834', 'nm0001835', 'nm0001836', 'nm0001838', 'nm0001839', 'nm0001840', 'nm0001842', 'nm0001844', 'nm0001845', 'nm0001847', 'nm0001848', 'nm0001850', 'nm0001851', 'nm0001852', 'nm0001854', 'nm0001855', 'nm0001856', 'nm0001859', 'nm0001862', 'nm0001866', 'nm0001867', 'nm0001868', 'nm0001870', 'nm0001872', 'nm0001876', 'nm0001879', 'nm0001881', 'nm0001882', 'nm0001884', 'nm0001886', 'nm0001888', 'nm0001891', 'nm0001902', 'nm0001914', 'nm0001916', 'nm0001917', 'nm0001919', 'nm0001922', 'nm0001924', 'nm0001929', 'nm0001932', 'nm0001939', 'nm0001941', 'nm0001943', 'nm0001948', 'nm0001950', 'nm0001951', 'nm0001952', 'nm0001953', 'nm0001958', 'nm0001960', 'nm0001961', 'nm0001965', 'nm0001966', 'nm0001967', 'nm0001970', 'nm0001971', 'nm0001972', 'nm0001975', 'nm0001983', 'nm0001987', 'nm0001989', 'nm0001990', 'nm0001993', 'nm0001995', 'nm0001998', 'nm0001999', 'nm0002000', 'nm0002002', 'nm0002004', 'nm0002006', 'nm0002010', 'nm0002011', 'nm0002013', 'nm0002025', 'nm0002027', 'nm0002029', 'nm0002035', 'nm0002037', 'nm0002039', 'nm0002047', 'nm0002048', 'nm0002057', 'nm0002058', 'nm0002059', 'nm0002060', 'nm0002064', 'nm0002065', 'nm0002067', 'nm0002069', 'nm0002070', 'nm0002071', 'nm0002072', 'nm0002075', 'nm0002076', 'nm0002077', 'nm0002078', 'nm0002081', 'nm0002082', 'nm0002085', 'nm0002088', 'nm0002090', 'nm0002091', 'nm0002094', 'nm0002095', 'nm0002096', 'nm0002098', 'nm0002100', 'nm0002103', 'nm0002104', 'nm0002105', 'nm0002106', 'nm0002107', 'nm0002108', 'nm0002110', 'nm0002114', 'nm0002117', 'nm0002118', 'nm0002119', 'nm0002122', 'nm0002130', 'nm0002131', 'nm0002134', 'nm0002139', 'nm0002141', 'nm0002142', 'nm0002143', 'nm0002144', 'nm0002145', 'nm0002148', 'nm0002154', 'nm0002198', 'nm0002231', 'nm0002245', 'nm0002253', 'nm0002326', 'nm0002332', 'nm0002350', 'nm0002536', 'nm0002546', 'nm0002743', 'nm0002769', 'nm0002776', 'nm0002817', 'nm0002897', 'nm0002907', 'nm0002989', 'nm0002994', 'nm0003067', 'nm0003115', 'nm0003210', 'nm0003244', 'nm0003248', 'nm0003339', 'nm0003424', 'nm0003817', 'nm0003909', 'nm0004051', 'nm0004134', 'nm0004149', 'nm0004266', 'nm0004282', 'nm0004292', 'nm0004301', 'nm0004309', 'nm0004335', 'nm0004355', 'nm0004365', 'nm0004376', 'nm0004380', 'nm0004381', 'nm0004395', 'nm0004423', 'nm0004462', 'nm0004486', 'nm0004517', 'nm0004569', 'nm0004625', 'nm0004626', 'nm0004645', 'nm0004647', 'nm0004650', 'nm0004692', 'nm0004695', 'nm0004697', 'nm0004710', 'nm0004715', 'nm0004718', 'nm0004729', 'nm0004730', 'nm0004736', 'nm0004741', 'nm0004742', 'nm0004743', 'nm0004747', 'nm0004748', 'nm0004753', 'nm0004754', 'nm0004755', 'nm0004757', 'nm0004763', 'nm0004767', 'nm0004773', 'nm0004778', 'nm0004782', 'nm0004787', 'nm0004789', 'nm0004793', 'nm0004800', 'nm0004801', 'nm0004802', 'nm0004806', 'nm0004812', 'nm0004821', 'nm0004825', 'nm0004839', 'nm0004851', 'nm0004854', 'nm0004858', 'nm0004862', 'nm0004867', 'nm0004874', 'nm0004875', 'nm0004879', 'nm0004883', 'nm0004896', 'nm0004898', 'nm0004900', 'nm0004906', 'nm0004916', 'nm0004920', 'nm0004921', 'nm0004922', 'nm0004929', 'nm0004930', 'nm0004936', 'nm0004937', 'nm0004950', 'nm0004951', 'nm0004959', 'nm0004965', 'nm0004977', 'nm0004978', 'nm0004988', 'nm0004997', 'nm0004998', 'nm0005003', 'nm0005006', 'nm0005009', 'nm0005013', 'nm0005017', 'nm0005019', 'nm0005020', 'nm0005023', 'nm0005024', 'nm0005028', 'nm0005029', 'nm0005033', 'nm0005042', 'nm0005044', 'nm0005048', 'nm0005049', 'nm0005052', 'nm0005063', 'nm0005064', 'nm0005068', 'nm0005069', 'nm0005078', 'nm0005088', 'nm0005093', 'nm0005098', 'nm0005102', 'nm0005109', 'nm0005110', 'nm0005112', 'nm0005123', 'nm0005125', 'nm0005129', 'nm0005132', 'nm0005134', 'nm0005148', 'nm0005154', 'nm0005156', 'nm0005157', 'nm0005162', 'nm0005164', 'nm0005167', 'nm0005169', 'nm0005170', 'nm0005171', 'nm0005182', 'nm0005188', 'nm0005190', 'nm0005202', 'nm0005206', 'nm0005210', 'nm0005212', 'nm0005216', 'nm0005221', 'nm0005226', 'nm0005227', 'nm0005231', 'nm0005235', 'nm0005236', 'nm0005246', 'nm0005251', 'nm0005253', 'nm0005256', 'nm0005258', 'nm0005261', 'nm0005264', 'nm0005266', 'nm0005268', 'nm0005272', 'nm0005273', 'nm0005278', 'nm0005286', 'nm0005294', 'nm0005295', 'nm0005299', 'nm0005300', 'nm0005305', 'nm0005311', 'nm0005312', 'nm0005315', 'nm0005316', 'nm0005318', 'nm0005321', 'nm0005322', 'nm0005326', 'nm0005327', 'nm0005342', 'nm0005350', 'nm0005351', 'nm0005377', 'nm0005378', 'nm0005380', 'nm0005381', 'nm0005392', 'nm0005399', 'nm0005403', 'nm0005404', 'nm0005405', 'nm0005406', 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'nm0156938', 'nm0156955', 'nm0157023', 'nm0157067', 'nm0157121', 'nm0157410', 'nm0157759', 'nm0157805', 'nm0158112', 'nm0158152', 'nm0158448', 'nm0158603', 'nm0158615', 'nm0158626', 'nm0158632', 'nm0158648', 'nm0158662', 'nm0158762', 'nm0158763', 'nm0158768', 'nm0158780', 'nm0158801', 'nm0158804', 'nm0158821', 'nm0158824', 'nm0158830', 'nm0158836', 'nm0158838', 'nm0158856', 'nm0158860', 'nm0158871', 'nm0158880', 'nm0158882', 'nm0158898', 'nm0159021', 'nm0159037', 'nm0159053', 'nm0159060', 'nm0159115', 'nm0159258', 'nm0159507', 'nm0159514', 'nm0159573', 'nm0159745', 'nm0159776', 'nm0159789', 'nm0159802', 'nm0160049', 'nm0160085', 'nm0160287', 'nm0160615', 'nm0160637', 'nm0160715', 'nm0160823', 'nm0160847', 'nm0160865', 'nm0160876', 'nm0160985', 'nm0161023', 'nm0161046', 'nm0161133', 'nm0161136', 'nm0161149', 'nm0161198', 'nm0161258', 'nm0161275', 'nm0161388', 'nm0161451', 'nm0161500', 'nm0161540', 'nm0161862', 'nm0161889', 'nm0162179', 'nm0162281', 'nm0162361', 'nm0162541', 'nm0162557', 'nm0162762', 'nm0162948', 'nm0163250', 'nm0163257', 'nm0163266', 'nm0163725', 'nm0163748', 'nm0163988', 'nm0164540', 'nm0164680', 'nm0164764', 'nm0164809', 'nm0164975', 'nm0165049', 'nm0165067', 'nm0165101', 'nm0165249', 'nm0165429', 'nm0165551', 'nm0166045', 'nm0166221', 'nm0166438', 'nm0166452', 'nm0166520', 'nm0166706', 'nm0166972', 'nm0166986', 'nm0167028', 'nm0167041', 'nm0167086', 'nm0167329', 'nm0167388', 'nm0167501', 'nm0167508', 'nm0167509', 'nm0167649', 'nm0167679', 'nm0167850', 'nm0167952', 'nm0168042', 'nm0168143', 'nm0168262', 'nm0168324', 'nm0168642', 'nm0169398', 'nm0169480', 'nm0169565', 'nm0169631', 'nm0169753', 'nm0169806', 'nm0170550', 'nm0170901', 'nm0171283', 'nm0171475', 'nm0171499', 'nm0171674', 'nm0171950', 'nm0171983', 'nm0172259', 'nm0172552', 'nm0172646', 'nm0172662', 'nm0172714', 'nm0173254', 'nm0173354', 'nm0173372', 'nm0173723', 'nm0173827', 'nm0173997', 'nm0174021', 'nm0174082', 'nm0174179', 'nm0174192', 'nm0174302', 'nm0174325', 'nm0174403', 'nm0174566', 'nm0174596', 'nm0174682', 'nm0174780', 'nm0174834', 'nm0174983', 'nm0175033', 'nm0175262', 'nm0175369', 'nm0175390', 'nm0175700', 'nm0175814', 'nm0175916', 'nm0175931', 'nm0176039', 'nm0176073', 'nm0176444', 'nm0176660', 'nm0176669', 'nm0176792', 'nm0176801', 'nm0176845', 'nm0176869', 'nm0177396', 'nm0177639', 'nm0177742', 'nm0177879', 'nm0177896', 'nm0177933', 'nm0178074', 'nm0178690', 'nm0178776', 'nm0178840', 'nm0178875', 'nm0179047', 'nm0179063', 'nm0179173', 'nm0179224', 'nm0179479', 'nm0179819', 'nm0179830', 'nm0180411', 'nm0180580', 'nm0180837', 'nm0180984', 'nm0181169', 'nm0181246', 'nm0181288', 'nm0181425', 'nm0181920', 'nm0181985', 'nm0182074', 'nm0182099', 'nm0182455', 'nm0182666', 'nm0182839', 'nm0182911', 'nm0183060', 'nm0183082', 'nm0183258', 'nm0183310', 'nm0183430', 'nm0183660', 'nm0183764', 'nm0183921', 'nm0184250', 'nm0184392', 'nm0184429', 'nm0184445', 'nm0184488', 'nm0184691', 'nm0184817', 'nm0184893', 'nm0185045', 'nm0185329', 'nm0185644', 'nm0185794', 'nm0185819', 'nm0185832', 'nm0186060', 'nm0186062', 'nm0186151', 'nm0186225', 'nm0186408', 'nm0186452', 'nm0186475', 'nm0186505', 'nm0186563', 'nm0186569', 'nm0186677', 'nm0186761', 'nm0186778', 'nm0186903', 'nm0187224', 'nm0187337', 'nm0187719', 'nm0187724', 'nm0187927', 'nm0187998', 'nm0188025', 'nm0188687', 'nm0188709', 'nm0189200', 'nm0189220', 'nm0189561', 'nm0189713', 'nm0189887', 'nm0189943', 'nm0190208', 'nm0190384', 'nm0190441', 'nm0190467', 'nm0190690', 'nm0190691', 'nm0190744', 'nm0190753', 'nm0190789', 'nm0190794', 'nm0190977', 'nm0191044', 'nm0191358', 'nm0191412', 'nm0191442', 'nm0191499', 'nm0191745', 'nm0191870', 'nm0191950', 'nm0192377', 'nm0192490', 'nm0192505', 'nm0192560', 'nm0192576', 'nm0193135', 'nm0193160', 'nm0193295', 'nm0193321', 'nm0193421', 'nm0193459', 'nm0193554', 'nm0193661', 'nm0193691', 'nm0193846', 'nm0194193', 'nm0194234', 'nm0194305', 'nm0194533', 'nm0194572', 'nm0194759', 'nm0194848', 'nm0195421', 'nm0195702', 'nm0195750', 'nm0195784', 'nm0196185', 'nm0196190', 'nm0196230', 'nm0196247', 'nm0196541', 'nm0196654', 'nm0196820', 'nm0196928', 'nm0197241', 'nm0197379', 'nm0197623', 'nm0197647', 'nm0197847', 'nm0197950', 'nm0197963', 'nm0197982', 'nm0198072', 'nm0198306', 'nm0198369', 'nm0198812', 'nm0198814', 'nm0198849', 'nm0198925', 'nm0199006', 'nm0199017', 'nm0199047', 'nm0199281', 'nm0199312', 'nm0199325', 'nm0199415', 'nm0199590', 'nm0199774', 'nm0199823', 'nm0199842', 'nm0199920', 'nm0199939', 'nm0199984', 'nm0200122', 'nm0200452', 'nm0200601', 'nm0200615', 'nm0200680', 'nm0200702', 'nm0200758', 'nm0200789', 'nm0200800', 'nm0200848', 'nm0200981', 'nm0201239', 'nm0201323', 'nm0201377', 'nm0201635', 'nm0201638', 'nm0201639', 'nm0201763', 'nm0201780', 'nm0201782', 'nm0201857', 'nm0201877', 'nm0202516', 'nm0202603', 'nm0202638', 'nm0202804', 'nm0202966', 'nm0203308', 'nm0203457', 'nm0203508', 'nm0203567', 'nm0203688', 'nm0204322', 'nm0204583', 'nm0204706', 'nm0205063', 'nm0205127', 'nm0205289', 'nm0205423', 'nm0205626', 'nm0205793', 'nm0206043', 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'nm0239498', 'nm0239513', 'nm0239660', 'nm0239764', 'nm0239768', 'nm0239816', 'nm0239870', 'nm0239931', 'nm0240318', 'nm0240564', 'nm0240797', 'nm0241049', 'nm0241121', 'nm0241173', 'nm0241232', 'nm0241295', 'nm0241383', 'nm0241493', 'nm0241663', 'nm0241748', 'nm0241759', 'nm0241881', 'nm0242026', 'nm0242172', 'nm0242833', 'nm0242952', 'nm0242954', 'nm0242972', 'nm0243175', 'nm0243231', 'nm0243233', 'nm0243317', 'nm0243355', 'nm0243357', 'nm0243470', 'nm0243806', 'nm0243842', 'nm0244019', 'nm0244151', 'nm0244354', 'nm0244460', 'nm0244483', 'nm0244619', 'nm0244630', 'nm0244707', 'nm0244740', 'nm0244813', 'nm0244906', 'nm0245112', 'nm0245145', 'nm0245164', 'nm0245176', 'nm0245356', 'nm0245358', 'nm0245612', 'nm0245705', 'nm0245988', 'nm0246004', 'nm0246150', 'nm0246195', 'nm0246293', 'nm0246386', 'nm0246686', 'nm0246814', 'nm0246947', 'nm0247040', 'nm0247143', 'nm0247237', 'nm0247477', 'nm0247584', 'nm0247642', 'nm0247932', 'nm0248231', 'nm0248267', 'nm0248364', 'nm0248371', 'nm0248408', 'nm0248591', 'nm0248600', 'nm0248680', 'nm0248815', 'nm0249093', 'nm0249291', 'nm0250022', 'nm0250368', 'nm0250643', 'nm0250659', 'nm0250743', 'nm0250774', 'nm0250958', 'nm0250964', 'nm0251021', 'nm0251526', 'nm0251656', 'nm0251986', 'nm0252114', 'nm0252230', 'nm0252238', 'nm0252345', 'nm0252369', 'nm0252372', 'nm0252426', 'nm0252479', 'nm0252485', 'nm0252677', 'nm0252775', 'nm0252961', 'nm0252979', 'nm0253035', 'nm0253216', 'nm0253528', 'nm0253708', 'nm0253833', 'nm0254118', 'nm0254332', 'nm0254402', 'nm0254712', 'nm0255108', 'nm0255145', 'nm0255168', 'nm0255175', 'nm0255331', 'nm0255362', 'nm0255475', 'nm0255695', 'nm0255973', 'nm0255979', 'nm0256075', 'nm0256121', 'nm0256216', 'nm0256384', 'nm0256387', 'nm0256399', 'nm0256474', 'nm0256599', 'nm0256628', 'nm0256861', 'nm0256890', 'nm0257040', 'nm0257917', 'nm0257934', 'nm0257969', 'nm0258388', 'nm0258784', 'nm0259128', 'nm0259532', 'nm0259540', 'nm0260632', 'nm0260846', 'nm0260942', 'nm0261323', 'nm0261470', 'nm0261701', 'nm0261724', 'nm0261807', 'nm0261967', 'nm0262026', 'nm0262138', 'nm0262272', 'nm0262374', 'nm0262506', 'nm0262554', 'nm0262602', 'nm0262635', 'nm0263004', 'nm0263591', 'nm0263594', 'nm0263759', 'nm0263761', 'nm0263904', 'nm0264303', 'nm0264579', 'nm0264660', 'nm0264770', 'nm0265311', 'nm0265457', 'nm0265492', 'nm0265519', 'nm0265610', 'nm0265668', 'nm0265670', 'nm0265697', 'nm0265948', 'nm0266134', 'nm0266194', 'nm0266261', 'nm0266422', 'nm0266611', 'nm0266626', 'nm0266658', 'nm0266723', 'nm0266785', 'nm0266824', 'nm0266949', 'nm0267042', 'nm0267232', 'nm0267241', 'nm0267256', 'nm0267449', 'nm0267506', 'nm0267511', 'nm0267586', 'nm0267812', 'nm0267849', 'nm0268164', 'nm0268199', 'nm0268297', 'nm0268331', 'nm0268488', 'nm0268533', 'nm0268626', 'nm0268994', 'nm0269077', 'nm0269419', 'nm0269463', 'nm0269542', 'nm0269662', 'nm0269909', 'nm0270119', 'nm0270451', 'nm0270742', 'nm0270784', 'nm0271501', 'nm0271538', 'nm0271657', 'nm0271763', 'nm0271820', 'nm0272232', 'nm0272244', 'nm0272399', 'nm0272401', 'nm0272581', 'nm0272680', 'nm0272686', 'nm0273018', 'nm0273143', 'nm0273178', 'nm0273383', 'nm0273464', 'nm0273592', 'nm0273812', 'nm0273827', 'nm0274008', 'nm0274088', 'nm0274458', 'nm0274694', 'nm0274704', 'nm0274745', 'nm0275002', 'nm0275009', 'nm0275213', 'nm0275244', 'nm0275428', 'nm0275486', 'nm0275587', 'nm0275637', 'nm0275788', 'nm0275835', 'nm0275897', 'nm0275913', 'nm0276062', 'nm0276758', 'nm0276840', 'nm0277213', 'nm0277344', 'nm0277424', 'nm0277547', 'nm0277706', 'nm0277975', 'nm0278304', 'nm0278571', 'nm0278752', 'nm0279010', 'nm0279157', 'nm0279165', 'nm0279390', 'nm0279472', 'nm0279545', 'nm0280199', 'nm0280236', 'nm0280242', 'nm0280553', 'nm0280559', 'nm0280682', 'nm0281011', 'nm0281107', 'nm0281130', 'nm0281424', 'nm0281766', 'nm0281909', 'nm0282343', 'nm0282463', 'nm0282530', 'nm0282552', 'nm0283389', 'nm0283492', 'nm0283945', 'nm0283997', 'nm0284015', 'nm0284016', 'nm0284405', 'nm0284482', 'nm0284533', 'nm0284613', 'nm0284649', 'nm0284708', 'nm0284780', 'nm0284839', 'nm0284869', 'nm0284938', 'nm0284974', 'nm0285135', 'nm0285603', 'nm0285922', 'nm0286085', 'nm0286127', 'nm0286611', 'nm0287168', 'nm0287530', 'nm0287619', 'nm0287637', 'nm0287687', 'nm0287825', 'nm0287898', 'nm0287905', 'nm0287939', 'nm0288221', 'nm0288260', 'nm0288330', 'nm0288830', 'nm0288944', 'nm0288976', 'nm0289038', 'nm0289051', 'nm0289098', 'nm0289114', 'nm0289142', 'nm0289183', 'nm0289359', 'nm0289484', 'nm0289545', 'nm0289856', 'nm0290047', 'nm0290420', 'nm0290432', 'nm0290556', 'nm0290921', 'nm0291512', 'nm0291881', 'nm0292159', 'nm0292182', 'nm0292226', 'nm0292802', 'nm0292942', 'nm0293050', 'nm0293411', 'nm0293439', 'nm0293455', 'nm0293497', 'nm0293509', 'nm0293530', 'nm0293550', 'nm0293739', 'nm0293981', 'nm0294058', 'nm0294062', 'nm0294070', 'nm0294382', 'nm0294600', 'nm0294972', 'nm0294984', 'nm0295429', 'nm0295484', 'nm0295506', 'nm0295546', 'nm0295568', 'nm0295747', 'nm0295823', 'nm0295992', 'nm0296142', 'nm0296219', 'nm0296545', 'nm0296594', 'nm0296596', 'nm0296614', 'nm0296809', 'nm0297004', 'nm0297054', 'nm0297083', 'nm0297149', 'nm0297212', 'nm0297285', 'nm0297293', 'nm0297578', 'nm0297653', 'nm0297686', 'nm0297740', 'nm0297788', 'nm0297793', 'nm0297800', 'nm0297845', 'nm0297855', 'nm0297858', 'nm0297860', 'nm0297879', 'nm0297885', 'nm0297906', 'nm0297938', 'nm0298048', 'nm0298221', 'nm0298281', 'nm0298323', 'nm0298333', 'nm0298859', 'nm0299014', 'nm0299201', 'nm0299208', 'nm0299210', 'nm0299228', 'nm0299329', 'nm0299331', 'nm0299403', 'nm0299439', 'nm0299457', 'nm0299663', 'nm0299811', 'nm0299924', 'nm0299998', 'nm0300064', 'nm0300083', 'nm0300399', 'nm0300494', 'nm0300565', 'nm0300589', 'nm0300712', 'nm0301157', 'nm0301515', 'nm0301556', 'nm0301749', 'nm0301785', 'nm0301834', 'nm0301959', 'nm0301984', 'nm0302061', 'nm0302105', 'nm0302108', 'nm0302285', 'nm0302330', 'nm0302427', 'nm0302446', 'nm0302462', 'nm0303073', 'nm0303121', 'nm0303413', 'nm0303577', 'nm0303593', 'nm0303826', 'nm0303849', 'nm0304289', 'nm0304644', 'nm0304708', 'nm0304729', 'nm0304801', 'nm0304813', 'nm0304861', 'nm0305079', 'nm0305081', 'nm0305083', 'nm0305087', 'nm0305182', 'nm0305324', 'nm0305368', 'nm0305558', 'nm0306357', 'nm0306622', 'nm0306660', 'nm0306888', 'nm0306967', 'nm0306978', 'nm0307143', 'nm0307231', 'nm0307490', 'nm0307491', 'nm0307493', 'nm0307531', 'nm0307534', 'nm0307592', 'nm0307628', 'nm0307726', 'nm0307805', 'nm0307894', 'nm0307898', 'nm0307995', 'nm0308039', 'nm0308182', 'nm0308185', 'nm0308606', 'nm0308683', 'nm0308882', 'nm0309107', 'nm0309348', 'nm0309404', 'nm0309470', 'nm0309510', 'nm0309588', 'nm0309693', 'nm0309796', 'nm0309945', 'nm0310039', 'nm0310327', 'nm0310481', 'nm0310532', 'nm0310966', 'nm0311212', 'nm0311476', 'nm0312035', 'nm0312062', 'nm0312238', 'nm0312575', 'nm0312656', 'nm0312890', 'nm0312998', 'nm0313443', 'nm0313534', 'nm0313682', 'nm0313702', 'nm0313806', 'nm0314046', 'nm0314078', 'nm0314182', 'nm0314358', 'nm0314524', 'nm0314554', 'nm0314584', 'nm0314789', 'nm0315041', 'nm0315288', 'nm0315342', 'nm0315528', 'nm0315640', 'nm0315760', 'nm0315998', 'nm0316079', 'nm0316140', 'nm0316284', 'nm0316701', 'nm0316723', 'nm0316878', 'nm0317119', 'nm0317196', 'nm0317340', 'nm0317385', 'nm0317506', 'nm0317725', 'nm0317776', 'nm0317956', 'nm0318321', 'nm0318527', 'nm0318821', 'nm0318832', 'nm0318884', 'nm0319171', 'nm0319257', 'nm0319680', 'nm0319834', 'nm0319843', 'nm0319980', 'nm0320218', 'nm0320303', 'nm0320321', 'nm0320323', 'nm0320379', 'nm0320759', 'nm0320760', 'nm0320762', 'nm0320808', 'nm0320812', 'nm0320815', 'nm0321017', 'nm0321294', 'nm0321400', 'nm0321591', 'nm0322366', 'nm0322407', 'nm0322513', 'nm0323003', 'nm0323483', 'nm0323576', 'nm0323773', 'nm0323859', 'nm0323873', 'nm0324071', 'nm0324233', 'nm0324397', 'nm0324458', 'nm0324658', 'nm0324766', 'nm0325520', 'nm0325989', 'nm0326091', 'nm0326135', 'nm0326141', 'nm0326656', 'nm0326751', 'nm0326816', 'nm0327056', 'nm0327342', 'nm0327428', 'nm0327764', 'nm0328186', 'nm0328709', 'nm0328751', 'nm0328828', 'nm0328954', 'nm0328964', 'nm0329023', 'nm0329259', 'nm0329301', 'nm0329481', 'nm0329640', 'nm0329746', 'nm0330143', 'nm0330150', 'nm0330185', 'nm0330360', 'nm0330408', 'nm0330574', 'nm0330687', 'nm0330802', 'nm0331186', 'nm0331202', 'nm0331516', 'nm0331577', 'nm0332267', 'nm0332640', 'nm0332647', 'nm0332709', 'nm0332752', 'nm0333014', 'nm0333275', 'nm0333410', 'nm0333466', 'nm0333612', 'nm0333635', 'nm0333702', 'nm0334048', 'nm0334057', 'nm0334159', 'nm0334179', 'nm0334318', 'nm0334324', 'nm0334561', 'nm0334603', 'nm0334746', 'nm0334882', 'nm0335048', 'nm0335073', 'nm0335275', 'nm0335300', 'nm0335344', 'nm0335497', 'nm0335519', 'nm0336171', 'nm0336390', 'nm0336582', 'nm0336701', 'nm0336704', 'nm0336923', 'nm0337965', 'nm0338126', 'nm0338831', 'nm0338886', 'nm0339011', 'nm0339159', 'nm0339304', 'nm0339343', 'nm0339460', 'nm0339621', 'nm0339669', 'nm0339730', 'nm0339992', 'nm0340260', 'nm0340359', 'nm0340514', 'nm0340729', 'nm0340973', 'nm0341110', 'nm0341174', 'nm0341377', 'nm0341518', 'nm0341737', 'nm0341743', 'nm0342029', 'nm0342201', 'nm0342393', 'nm0342399', 'nm0342458', 'nm0342488', 'nm0342708', 'nm0342970', 'nm0343082', 'nm0343472', 'nm0344435', 'nm0344603', 'nm0344894', 'nm0344963', 'nm0345046', 'nm0345194', 'nm0345695', 'nm0345848', 'nm0345999', 'nm0346080', 'nm0346270', 'nm0346295', 'nm0346315', 'nm0346320', 'nm0346595', 'nm0346708', 'nm0347069', 'nm0347149', 'nm0347218', 'nm0347225', 'nm0347423', 'nm0347509', 'nm0347541', 'nm0347607', 'nm0347656', 'nm0348152', 'nm0348231', 'nm0348409', 'nm0348442', 'nm0348447', 'nm0348481', 'nm0348538', 'nm0348558', 'nm0349522', 'nm0349611', 'nm0350079', 'nm0350273', 'nm0350324', 'nm0350350', 'nm0350395', 'nm0350453', 'nm0350454', 'nm0350725', 'nm0350884', 'nm0350993', 'nm0351029', 'nm0351133', 'nm0351270', 'nm0351546', 'nm0351710', 'nm0351717', 'nm0351723', 'nm0352032', 'nm0352126', 'nm0352230', 'nm0352278', 'nm0352379', 'nm0352673', 'nm0352778', 'nm0353247', 'nm0353405', 'nm0353546', 'nm0353614', 'nm0353704', 'nm0353707', 'nm0353714', 'nm0353717', 'nm0353863', 'nm0354085', 'nm0354198', 'nm0354342', 'nm0354560', 'nm0354563', 'nm0354593', 'nm0354653', 'nm0354978', 'nm0355024', 'nm0355097', 'nm0355112', 'nm0355155', 'nm0355671', 'nm0355910', 'nm0356017', 'nm0356021', 'nm0356089', 'nm0356268', 'nm0356358', 'nm0356515', 'nm0356625', 'nm0356847', 'nm0357169', 'nm0357194', 'nm0357287', 'nm0357410', 'nm0357657', 'nm0357894', 'nm0357979', 'nm0358180', 'nm0358316', 'nm0358615', 'nm0358669', 'nm0358717', 'nm0358723', 'nm0358922', 'nm0359035', 'nm0359149', 'nm0359154', 'nm0359155', 'nm0359158', 'nm0359167', 'nm0359188', 'nm0359197', 'nm0359217', 'nm0359257', 'nm0359398', 'nm0359566', 'nm0359652', 'nm0359842', 'nm0359969', 'nm0360171', 'nm0360484', 'nm0360598', 'nm0360889', 'nm0361331', 'nm0361574', 'nm0361616', 'nm0361660', 'nm0361662', 'nm0361697', 'nm0361753', 'nm0361757', 'nm0361823', 'nm0362051', 'nm0362249', 'nm0362643', 'nm0362766', 'nm0362896', 'nm0362955', 'nm0363117', 'nm0363351', 'nm0363888', 'nm0364093', 'nm0364299', 'nm0364348', 'nm0364455', 'nm0364583', 'nm0364744', 'nm0364748', 'nm0364813', 'nm0364854', 'nm0364890', 'nm0364918', 'nm0364977', 'nm0365035', 'nm0365140', 'nm0365173', 'nm0365283', 'nm0365317', 'nm0365445', 'nm0365518', 'nm0365835', 'nm0366389', 'nm0366433', 'nm0366509', 'nm0366603', 'nm0366667', 'nm0366846', 'nm0367005', 'nm0367176', 'nm0367496', 'nm0368049', 'nm0368089', 'nm0368090', 'nm0368394', 'nm0368482', 'nm0368646', 'nm0368689', 'nm0368728', 'nm0368745', 'nm0368969', 'nm0368990', 'nm0369129', 'nm0369513', 'nm0369686', 'nm0369696', 'nm0369736', 'nm0369814', 'nm0369894', 'nm0369898', 'nm0369954', 'nm0370015', 'nm0370035', 'nm0370144', 'nm0370564', 'nm0370582', 'nm0370584', 'nm0370627', 'nm0370634', 'nm0370657', 'nm0370672', 'nm0370677', 'nm0370821', 'nm0370886', 'nm0371175', 'nm0371340', 'nm0371342', 'nm0371579', 'nm0371624', 'nm0371628', 'nm0371660', 'nm0371727', 'nm0371824', 'nm0371846', 'nm0371924', 'nm0372023', 'nm0372117', 'nm0372176', 'nm0372255', 'nm0372271', 'nm0372366', 'nm0372851', 'nm0373012', 'nm0373314', 'nm0373354', 'nm0373432', 'nm0373773', 'nm0373972', 'nm0374348', 'nm0374865', 'nm0374949', 'nm0375039', 'nm0375436', 'nm0375609', 'nm0375738', 'nm0375959', 'nm0375990', 'nm0376101', 'nm0376540', 'nm0376716', 'nm0376720', 'nm0376915', 'nm0377034', 'nm0377333', 'nm0377336', 'nm0377462', 'nm0377580', 'nm0377631', 'nm0377750', 'nm0377839', 'nm0377844', 'nm0377888', 'nm0378175', 'nm0378245', 'nm0378698', 'nm0378855', 'nm0378932', 'nm0379114', 'nm0379258', 'nm0379282', 'nm0379596', 'nm0380442', 'nm0380628', 'nm0380632', 'nm0380672', 'nm0380806', 'nm0381028', 'nm0381450', 'nm0382063', 'nm0382110', 'nm0382355', 'nm0382391', 'nm0382402', 'nm0382566', 'nm0382676', 'nm0382819', 'nm0382854', 'nm0383022', 'nm0383086', 'nm0383093', 'nm0383261', 'nm0383354', 'nm0383422', 'nm0383522', 'nm0383553', 'nm0383603', 'nm0383679', 'nm0383699', 'nm0383708', 'nm0384032', 'nm0384050', 'nm0384152', 'nm0384162', 'nm0384211', 'nm0384494', 'nm0384544', 'nm0384751', 'nm0384897', 'nm0385253', 'nm0385296', 'nm0385346', 'nm0385443', 'nm0385543', 'nm0385639', 'nm0385757', 'nm0385809', 'nm0386179', 'nm0386217', 'nm0386235', 'nm0386284', 'nm0386286', 'nm0386414', 'nm0386472', 'nm0386709', 'nm0386752', 'nm0386938', 'nm0387012', 'nm0387314', 'nm0387329', 'nm0387363', 'nm0387524', 'nm0387752', 'nm0387773', 'nm0387832', 'nm0387914', 'nm0387916', 'nm0387987', 'nm0388038', 'nm0388064', 'nm0388113', 'nm0388382', 'nm0388732', 'nm0388848', 'nm0388931', 'nm0388933', 'nm0389058', 'nm0389073', 'nm0389374', 'nm0389378', 'nm0389384', 'nm0389507', 'nm0389516', 'nm0389621', 'nm0389623', 'nm0390184', 'nm0390229', 'nm0390285', 'nm0390458', 'nm0390789', 'nm0391096', 'nm0391274', 'nm0391361', 'nm0392073', 'nm0392250', 'nm0392447', 'nm0392714', 'nm0393093', 'nm0393157', 'nm0393201', 'nm0393222', 'nm0393230', 'nm0393239', 'nm0393330', 'nm0393360', 'nm0393661', 'nm0394034', 'nm0394037', 'nm0394077', 'nm0394176', 'nm0394244', 'nm0394690', 'nm0394889', 'nm0395078', 'nm0395168', 'nm0395203', 'nm0395818', 'nm0396063', 'nm0396125', 'nm0396136', 'nm0396284', 'nm0396558', 'nm0396685', 'nm0396749', 'nm0396812', 'nm0396881', 'nm0396884', 'nm0396886', 'nm0396924', 'nm0397034', 'nm0397110', 'nm0397171', 'nm0397432', 'nm0397788', 'nm0398193', 'nm0398702', 'nm0398722', 'nm0398740', 'nm0398760', 'nm0398798', 'nm0398847', 'nm0398852', 'nm0398934', 'nm0398944', 'nm0398969', 'nm0398970', 'nm0398989', 'nm0399007', 'nm0399058', 'nm0399088', 'nm0399155', 'nm0399424', 'nm0399427', 'nm0399989', 'nm0400117', 'nm0400194', 'nm0400464', 'nm0400816', 'nm0401135', 'nm0401176', 'nm0401192', 'nm0401201', 'nm0401207', 'nm0401208', 'nm0401264', 'nm0401346', 'nm0401842', 'nm0401872', 'nm0402032', 'nm0402234', 'nm0402248', 'nm0402271', 'nm0402730', 'nm0402921', 'nm0403241', 'nm0403374', 'nm0403630', 'nm0403652', 'nm0403937', 'nm0403947', 'nm0404091', 'nm0404158', 'nm0404298', 'nm0404307', 'nm0404648', 'nm0404806', 'nm0404809', 'nm0404850', 'nm0404862', 'nm0404993', 'nm0405035', 'nm0405054', 'nm0405062', 'nm0405374', 'nm0405402', 'nm0405631', 'nm0406196', 'nm0406592', 'nm0406732', 'nm0406737', 'nm0406975', 'nm0407002', 'nm0407030', 'nm0407033', 'nm0407276', 'nm0407296', 'nm0407348', 'nm0407409', 'nm0407411', 'nm0407433', 'nm0407454', 'nm0407475', 'nm0407507', 'nm0407514', 'nm0407799', 'nm0407802', 'nm0407989', 'nm0407996', 'nm0408038', 'nm0408045', 'nm0408238', 'nm0408284', 'nm0408309', 'nm0408330', 'nm0408340', 'nm0408475', 'nm0408494', 'nm0408591', 'nm0408848', 'nm0408861', 'nm0409050', 'nm0409287', 'nm0409561', 'nm0409866', 'nm0409869', 'nm0409960', 'nm0410288', 'nm0410308', 'nm0410667', 'nm0410719', 'nm0410758', 'nm0410765', 'nm0410832', 'nm0410896', 'nm0410902', 'nm0410903', 'nm0410907', 'nm0410911', 'nm0410942', 'nm0410968', 'nm0410987', 'nm0411150', 'nm0411167', 'nm0411196', 'nm0411415', 'nm0411581', 'nm0411631', 'nm0411644', 'nm0411682', 'nm0411683', 'nm0411705', 'nm0411790', 'nm0411879', 'nm0411889', 'nm0411980', 'nm0412002', 'nm0412177', 'nm0412322', 'nm0412382', 'nm0412495', 'nm0412496', 'nm0412520', 'nm0412525', 'nm0412537', 'nm0412585', 'nm0412587', 'nm0412596', 'nm0412615', 'nm0412628', 'nm0412817', 'nm0412831', 'nm0412850', 'nm0412917', 'nm0413168', 'nm0413238', 'nm0413559', 'nm0413561', 'nm0414185', 'nm0414272', 'nm0414325', 'nm0414554', 'nm0414683', 'nm0415069', 'nm0415245', 'nm0415283', 'nm0415395', 'nm0415412', 'nm0415483', 'nm0415488', 'nm0415529', 'nm0415538', 'nm0415591', 'nm0415926', 'nm0416126', 'nm0416253', 'nm0416378', 'nm0416381', 'nm0416625', 'nm0416673', 'nm0416739', 'nm0416832', 'nm0417520', 'nm0417526', 'nm0417532', 'nm0417837', 'nm0418148', 'nm0418440', 'nm0418450', 'nm0418554', 'nm0418877', 'nm0419005', 'nm0419677', 'nm0419760', 'nm0419785', 'nm0419963', 'nm0420082', 'nm0420765', 'nm0420955', 'nm0421128', 'nm0421332', 'nm0421386', 'nm0421818', 'nm0421819', 'nm0421820', 'nm0421821', 'nm0421822', 'nm0422205', 'nm0422234', 'nm0422638', 'nm0422640', 'nm0422779', 'nm0422948', 'nm0423080', 'nm0423084', 'nm0423101', 'nm0423259', 'nm0423381', 'nm0423428', 'nm0423663', 'nm0423774', 'nm0424060', 'nm0424216', 'nm0424228', 'nm0424302', 'nm0424565', 'nm0424635', 'nm0424743', 'nm0424762', 'nm0424848', 'nm0425005', 'nm0425050', 'nm0425053', 'nm0425445', 'nm0425446', 'nm0425610', 'nm0426038', 'nm0426062', 'nm0427358', 'nm0427379', 'nm0427700', 'nm0427728', 'nm0427934', 'nm0427964', 'nm0428065', 'nm0428086', 'nm0428121', 'nm0428309', 'nm0428354', 'nm0428622', 'nm0428656', 'nm0428752', 'nm0429069', 'nm0429250', 'nm0429363', 'nm0429385', 'nm0429721', 'nm0429943', 'nm0429956', 'nm0430074', 'nm0430107', 'nm0430151', 'nm0430298', 'nm0430460', 'nm0430482', 'nm0430629', 'nm0430746', 'nm0430809', 'nm0430817', 'nm0430912', 'nm0431083', 'nm0431139', 'nm0431168', 'nm0431212', 'nm0431420', 'nm0431438', 'nm0431475', 'nm0431493', 'nm0431701', 'nm0431918', 'nm0431956', 'nm0432005', 'nm0432007', 'nm0432040', 'nm0432050', 'nm0432270', 'nm0432425', 'nm0432428', 'nm0432429', 'nm0432510', 'nm0432528', 'nm0432535', 'nm0432550', 'nm0432591', 'nm0432596', 'nm0432601', 'nm0432827', 'nm0432943', 'nm0433017', 'nm0433150', 'nm0433157', 'nm0433548', 'nm0433692', 'nm0433697', 'nm0433893', 'nm0434090', 'nm0434140', 'nm0434145', 'nm0434223', 'nm0434389', 'nm0434432', 'nm0434593', 'nm0434628', 'nm0434712', 'nm0434726', 'nm0434854', 'nm0435218', 'nm0435250', 'nm0435289', 'nm0435324', 'nm0435358', 'nm0435726', 'nm0435910', 'nm0436170', 'nm0436340', 'nm0436517', 'nm0436778', 'nm0436835', 'nm0436906', 'nm0436922', 'nm0437019', 'nm0437032', 'nm0437283', 'nm0437482', 'nm0437490', 'nm0437520', 'nm0437580', 'nm0437626', 'nm0437630', 'nm0437634', 'nm0437640', 'nm0437642', 'nm0437646', 'nm0437704', 'nm0437787', 'nm0438047', 'nm0438071', 'nm0438092', 'nm0438127', 'nm0438463', 'nm0438465', 'nm0438496', 'nm0438751', 'nm0438869', 'nm0439170', 'nm0439344', 'nm0439371', 'nm0439482', 'nm0439850', 'nm0439865', 'nm0440078', 'nm0440090', 'nm0440229', 'nm0440286', 'nm0440454', 'nm0440817', 'nm0440913', 'nm0440988', 'nm0441154', 'nm0441161', 'nm0441172', 'nm0441287', 'nm0441351', 'nm0441375', 'nm0441377', 'nm0441476', 'nm0441548', 'nm0441568', 'nm0441572', 'nm0441654', 'nm0441814', 'nm0441955', 'nm0442304', 'nm0442512', 'nm0442559', 'nm0442708', 'nm0442754', 'nm0442873', 'nm0442940', 'nm0443218', 'nm0443232', 'nm0443332', 'nm0443509', 'nm0443521', 'nm0443529', 'nm0443569', 'nm0443577', 'nm0443585', 'nm0443821', 'nm0444169', 'nm0444198', 'nm0444248', 'nm0444321', 'nm0444621', 'nm0445256', 'nm0445291', 'nm0445657', 'nm0445715', 'nm0445992', 'nm0446179', 'nm0446298', 'nm0446303', 'nm0446314', 'nm0446460', 'nm0446485', 'nm0446540', 'nm0446622', 'nm0446715', 'nm0446763', 'nm0446869', 'nm0446989', 'nm0447016', 'nm0447259', 'nm0447290', 'nm0447305', 'nm0447695', 'nm0447913', 'nm0448033', 'nm0448204', 'nm0448273', 'nm0448326', 'nm0448743', 'nm0448849', 'nm0448894', 'nm0449191', 'nm0449242', 'nm0449274', 'nm0449276', 'nm0449391', 'nm0449404', 'nm0449431', 'nm0449489', 'nm0449625', 'nm0449652', 'nm0450274', 'nm0450400', 'nm0450461', 'nm0450522', 'nm0450534', 'nm0450975', 'nm0451076', 'nm0451122', 'nm0451148', 'nm0451193', 'nm0451234', 'nm0451307', 'nm0451321', 'nm0451376', 'nm0451379', 'nm0451600', 'nm0452009', 'nm0452161', 'nm0452288', 'nm0452471', 'nm0452748', 'nm0452817', 'nm0452860', 'nm0453304', 'nm0453356', 'nm0453373', 'nm0453374', 'nm0453385', 'nm0453422', 'nm0453440', 'nm0453448', 'nm0453452', 'nm0453467', 'nm0453472', 'nm0453476', 'nm0453478', 'nm0453481', 'nm0453482', 'nm0453488', 'nm0453513', 'nm0453515', 'nm0453520', 'nm0453523', 'nm0453550', 'nm0453553', 'nm0453578', 'nm0453588', 'nm0453589', 'nm0453605', 'nm0453608', 'nm0453609', 'nm0453611', 'nm0453612', 'nm0453623', 'nm0453640', 'nm0453660', 'nm0453661', 'nm0453667', 'nm0453668', 'nm0453670', 'nm0453675', 'nm0453689', 'nm0453693', 'nm0453696', 'nm0453697', 'nm0453704', 'nm0453705', 'nm0453722', 'nm0453735', 'nm0453746', 'nm0453747', 'nm0453761', 'nm0453994', 'nm0454087', 'nm0454120', 'nm0454123', 'nm0454128', 'nm0454202', 'nm0454236', 'nm0454278', 'nm0454415', 'nm0454507', 'nm0454598', 'nm0454809', 'nm0455058', 'nm0455236', 'nm0455511', 'nm0455605', 'nm0455702', 'nm0455816', 'nm0456077', 'nm0456124', 'nm0456178', 'nm0456186', 'nm0456810', 'nm0457090', 'nm0457204', 'nm0457240', 'nm0457544', 'nm0457556', 'nm0457568', 'nm0457575', 'nm0457586', 'nm0457600', 'nm0457655', 'nm0457877', 'nm0458214', 'nm0458302', 'nm0458460', 'nm0458514', 'nm0458917', 'nm0459030', 'nm0459206', 'nm0459303', 'nm0459706', 'nm0460037', 'nm0460578', 'nm0460651', 'nm0460694', 'nm0460874', 'nm0461110', 'nm0461129', 'nm0461136', 'nm0461210', 'nm0461361', 'nm0461395', 'nm0461409', 'nm0461438', 'nm0461455', 'nm0461498', 'nm0461746', 'nm0461925', 'nm0461926', 'nm0461929', 'nm0461981', 'nm0461983', 'nm0462042', 'nm0462086', 'nm0462407', 'nm0462648', 'nm0462712', 'nm0463122', 'nm0463175', 'nm0463437', 'nm0463539', 'nm0463592', 'nm0463928', 'nm0464143', 'nm0464255', 'nm0464305', 'nm0464325', 'nm0464857', 'nm0464946', 'nm0465062', 'nm0465260', 'nm0465269', 'nm0465503', 'nm0465532', 'nm0465631', 'nm0465716', 'nm0465903', 'nm0465918', 'nm0466977', 'nm0467085', 'nm0467478', 'nm0467615', 'nm0467896', 'nm0468003', 'nm0468042', 'nm0468110', 'nm0468514', 'nm0468527', 'nm0468602', 'nm0468708', 'nm0468711', 'nm0468729', 'nm0469021', 'nm0469103', 'nm0469192', 'nm0469552', 'nm0469597', 'nm0469823', 'nm0470130', 'nm0470212', 'nm0470307', 'nm0470385', 'nm0470718', 'nm0470769', 'nm0470886', 'nm0470981', 'nm0471447', 'nm0471464', 'nm0471571', 'nm0471601', 'nm0472028', 'nm0472234', 'nm0472391', 'nm0472551', 'nm0472756', 'nm0472762', 'nm0472820', 'nm0472855', 'nm0472891', 'nm0473109', 'nm0473162', 'nm0473166', 'nm0473228', 'nm0473328', 'nm0473577', 'nm0473845', 'nm0473928', 'nm0474492', 'nm0474603', 'nm0474609', 'nm0474710', 'nm0474774', 'nm0474779', 'nm0475129', 'nm0475165', 'nm0475365', 'nm0475476', 'nm0475602', 'nm0475732', 'nm0475752', 'nm0475836', 'nm0475869', 'nm0475900', 'nm0475982', 'nm0476008', 'nm0476130', 'nm0476185', 'nm0476194', 'nm0476201', 'nm0476211', 'nm0476223', 'nm0476378', 'nm0476673', 'nm0476675', 'nm0476906', 'nm0477035', 'nm0477066', 'nm0477080', 'nm0477088', 'nm0477099', 'nm0477108', 'nm0477127', 'nm0477165', 'nm0477209', 'nm0477236', 'nm0477256', 'nm0477257', 'nm0477283', 'nm0477299', 'nm0477341', 'nm0477553', 'nm0477740', 'nm0477742', 'nm0477810', 'nm0477836', 'nm0478202', 'nm0479164', 'nm0479209', 'nm0479351', 'nm0479355', 'nm0479471', 'nm0479527', 'nm0479530', 'nm0480099', 'nm0480244', 'nm0480308', 'nm0480454', 'nm0480808', 'nm0480850', 'nm0480869', 'nm0480942', 'nm0481024', 'nm0481030', 'nm0481097', 'nm0481180', 'nm0481185', 'nm0481217', 'nm0481241', 'nm0481298', 'nm0481618', 'nm0481687', 'nm0481709', 'nm0481714', 'nm0481737', 'nm0481841', 'nm0481927', 'nm0481946', 'nm0482113', 'nm0482580', 'nm0482628', 'nm0482970', 'nm0483174', 'nm0483389', 'nm0483576', 'nm0483788', 'nm0484005', 'nm0484202', 'nm0484472', 'nm0484541', 'nm0484586', 'nm0484829', 'nm0485509', 'nm0485548', 'nm0485562', 'nm0486132', 'nm0486136', 'nm0486359', 'nm0486496', 'nm0486590', 'nm0486619', 'nm0486728', 'nm0486839', 'nm0487102', 'nm0487254', 'nm0487296', 'nm0487333', 'nm0487444', 'nm0487884', 'nm0488053', 'nm0488267', 'nm0488306', 'nm0488477', 'nm0488917', 'nm0488953', 'nm0489112', 'nm0489133', 'nm0489311', 'nm0489436', 'nm0489513', 'nm0489798', 'nm0489837', 'nm0489858', 'nm0489947', 'nm0489997', 'nm0490254', 'nm0490477', 'nm0490489', 'nm0490492', 'nm0490500', 'nm0490513', 'nm0490548', 'nm0490560', 'nm0490597', 'nm0490608', 'nm0490702', 'nm0490708', 'nm0490734', 'nm0490774', 'nm0491090', 'nm0491095', 'nm0491259', 'nm0491357', 'nm0491402', 'nm0491426', 'nm0491467', 'nm0491551', 'nm0491590', 'nm0491763', 'nm0491777', 'nm0492006', 'nm0492220', 'nm0492342', 'nm0492352', 'nm0492373', 'nm0492444', 'nm0492620', 'nm0492649', 'nm0492932', 'nm0493257', 'nm0493684', 'nm0493691', 'nm0493719', 'nm0493959', 'nm0494030', 'nm0494069', 'nm0494179', 'nm0494204', 'nm0494270', 'nm0494504', 'nm0494795', 'nm0495021', 'nm0495716', 'nm0495936', 'nm0495947', 'nm0495950', 'nm0496428', 'nm0496797', 'nm0496866', 'nm0496894', 'nm0496918', 'nm0496932', 'nm0496944', 'nm0496969', 'nm0496980', 'nm0497075', 'nm0497081', 'nm0497097', 'nm0497195', 'nm0497197', 'nm0497249', 'nm0497252', 'nm0497254', 'nm0497352', 'nm0497354', 'nm0497356', 'nm0497362', 'nm0497383', 'nm0497398', 'nm0497415', 'nm0497424', 'nm0497426', 'nm0497427', 'nm0497454', 'nm0497475', 'nm0497488', 'nm0497493', 'nm0497494', 'nm0497527', 'nm0497578', 'nm0497629', 'nm0497630', 'nm0497631', 'nm0497642', 'nm0497699', 'nm0497710', 'nm0497763', 'nm0497826', 'nm0497853', 'nm0497870', 'nm0497901', 'nm0497905', 'nm0497936', 'nm0498209', 'nm0498225', 'nm0498271', 'nm0498280', 'nm0498308', 'nm0498449', 'nm0498472', 'nm0498488', 'nm0499203', 'nm0499223', 'nm0500200', 'nm0500317', 'nm0500758', 'nm0500884', 'nm0500894', 'nm0500976', 'nm0501055', 'nm0501069', 'nm0501178', 'nm0501185', 'nm0501256', 'nm0501412', 'nm0501501', 'nm0501802', 'nm0501837', 'nm0502015', 'nm0502073', 'nm0502180', 'nm0502425', 'nm0502533', 'nm0502671', 'nm0502813', 'nm0503443', 'nm0503567', 'nm0503627', 'nm0503706', 'nm0504320', 'nm0504492', 'nm0504641', 'nm0504676', 'nm0504832', 'nm0504897', 'nm0504899', 'nm0504900', 'nm0504962', 'nm0504973', 'nm0504989', 'nm0505067', 'nm0505157', 'nm0505404', 'nm0505971', 'nm0506374', 'nm0506699', 'nm0506784', 'nm0507097', 'nm0507187', 'nm0507207', 'nm0507314', 'nm0507320', 'nm0507363', 'nm0507513', 'nm0507659', 'nm0508105', 'nm0508139', 'nm0508293', 'nm0508356', 'nm0508362', 'nm0508373', 'nm0508380', 'nm0508561', 'nm0508925', 'nm0509017', 'nm0509263', 'nm0509264', 'nm0509583', 'nm0509688', 'nm0509861', 'nm0510054', 'nm0510514', 'nm0510546', 'nm0510857', 'nm0510887', 'nm0510950', 'nm0511085', 'nm0511234', 'nm0511264', 'nm0511270', 'nm0511277', 'nm0511350', 'nm0511614', 'nm0511703', 'nm0511798', 'nm0511943', 'nm0512071', 'nm0512272', 'nm0513271', 'nm0513281', 'nm0513298', 'nm0513299', 'nm0513325', 'nm0513352', 'nm0513394', 'nm0513731', 'nm0513795', 'nm0514059', 'nm0514679', 'nm0514906', 'nm0514998', 'nm0515106', 'nm0515116', 'nm0515193', 'nm0515207', 'nm0515289', 'nm0515292', 'nm0515296', 'nm0515950', 'nm0516003', 'nm0516145', 'nm0516215', 'nm0516222', 'nm0516240', 'nm0516272', 'nm0516316', 'nm0516615', 'nm0516634', 'nm0516800', 'nm0516876', 'nm0516918', 'nm0516972', 'nm0517218', 'nm0517407', 'nm0517820', 'nm0517844', 'nm0517885', 'nm0517929', 'nm0517975', 'nm0518064', 'nm0518085', 'nm0518178', 'nm0518304', 'nm0518312', 'nm0518321', 'nm0518422', 'nm0518591', 'nm0518636', 'nm0518653', 'nm0518718', 'nm0518821', 'nm0519023', 'nm0519043', 'nm0519101', 'nm0519212', 'nm0519456', 'nm0519486', 'nm0519765', 'nm0519839', 'nm0520064', 'nm0520164', 'nm0520189', 'nm0520244', 'nm0520870', 'nm0521033', 'nm0521088', 'nm0521443', 'nm0521753', 'nm0521829', 'nm0521944', 'nm0522199', 'nm0522370', 'nm0522474', 'nm0522550', 'nm0523116', 'nm0523344', 'nm0523486', 'nm0523717', 'nm0523821', 'nm0524197', 'nm0524217', 'nm0524240', 'nm0524468', 'nm0524494', 'nm0524528', 'nm0524547', 'nm0524722', 'nm0524743', 'nm0524803', 'nm0524834', 'nm0524839', 'nm0525482', 'nm0525518', 'nm0525570', 'nm0525599', 'nm0525801', 'nm0525921', 'nm0526019', 'nm0526259', 'nm0526406', 'nm0526581', 'nm0526820', 'nm0526985', 'nm0527002', 'nm0527501', 'nm0527852', 'nm0527937', 'nm0527954', 'nm0528101', 'nm0528331', 'nm0528433', 'nm0528841', 'nm0528987', 'nm0529432', 'nm0529543', 'nm0529645', 'nm0529813', 'nm0530048', 'nm0530155', 'nm0530244', 'nm0530365', 'nm0530561', 'nm0530581', 'nm0531042', 'nm0531069', 'nm0531195', 'nm0531279', 'nm0531589', 'nm0531808', 'nm0531924', 'nm0531933', 'nm0532068', 'nm0532193', 'nm0532235', 'nm0532290', 'nm0532298', 'nm0532458', 'nm0532529', 'nm0532683', 'nm0532713', 'nm0532900', 'nm0533258', 'nm0533315', 'nm0533914', 'nm0533921', 'nm0534045', 'nm0534267', 'nm0534317', 'nm0534508', 'nm0534577', 'nm0534635', 'nm0534856', 'nm0535019', 'nm0535166', 'nm0535329', 'nm0535459', 'nm0535502', 'nm0535541', 'nm0535682', 'nm0535757', 'nm0535837', 'nm0535861', 'nm0535971', 'nm0536009', 'nm0536095', 'nm0536134', 'nm0536167', 'nm0536298', 'nm0536476', 'nm0536551', 'nm0536574', 'nm0536723', 'nm0536866', 'nm0537146', 'nm0537292', 'nm0537392', 'nm0537410', 'nm0537707', 'nm0537922', 'nm0538048', 'nm0538071', 'nm0538353', 'nm0538580', 'nm0538641', 'nm0538683', 'nm0538710', 'nm0538792', 'nm0539082', 'nm0539399', 'nm0539678', 'nm0540038', 'nm0540176', 'nm0540245', 'nm0540441', 'nm0540977', 'nm0541048', 'nm0541120', 'nm0541125', 'nm0541225', 'nm0541290', 'nm0541398', 'nm0541487', 'nm0541675', 'nm0541908', 'nm0541909', 'nm0542133', 'nm0542146', 'nm0542344', 'nm0542430', 'nm0542492', 'nm0542498', 'nm0542635', 'nm0542706', 'nm0542870', 'nm0542990', 'nm0543188', 'nm0543383', 'nm0543547', 'nm0543790', 'nm0544067', 'nm0544334', 'nm0544371', 'nm0544448', 'nm0544547', 'nm0544718', 'nm0544820', 'nm0545142', 'nm0545166', 'nm0545298', 'nm0545352', 'nm0545383', 'nm0545638', 'nm0545838', 'nm0546797', 'nm0546868', 'nm0547165', 'nm0547339', 'nm0547349', 'nm0547681', 'nm0548114', 'nm0548156', 'nm0548277', 'nm0548440', 'nm0548587', 'nm0548833', 'nm0549134', 'nm0549280', 'nm0549457', 'nm0549505', 'nm0549629', 'nm0549659', 'nm0549773', 'nm0549815', 'nm0550204', 'nm0550371', 'nm0550452', 'nm0550577', 'nm0550600', 'nm0550994', 'nm0551103', 'nm0551222', 'nm0551323', 'nm0551346', 'nm0551649', 'nm0551908', 'nm0552072', 'nm0552483', 'nm0552700', 'nm0552756', 'nm0553101', 'nm0553106', 'nm0553186', 'nm0553237', 'nm0553436', 'nm0553440', 'nm0553445', 'nm0553648', 'nm0553650', 'nm0553785', 'nm0554183', 'nm0554460', 'nm0555093', 'nm0555263', 'nm0555404', 'nm0555500', 'nm0555642', 'nm0555807', 'nm0556318', 'nm0556322', 'nm0556399', 'nm0556453', 'nm0556850', 'nm0557159', 'nm0557281', 'nm0557339', 'nm0557609', 'nm0557678', 'nm0557738', 'nm0557739', 'nm0557799', 'nm0557859', 'nm0557929', 'nm0557956', 'nm0558165', 'nm0558174', 'nm0558290', 'nm0558308', 'nm0558548', 'nm0558598', 'nm0558618', 'nm0558726', 'nm0559052', 'nm0559144', 'nm0559166', 'nm0559326', 'nm0559381', 'nm0559384', 'nm0559405', 'nm0559439', 'nm0559444', 'nm0559483', 'nm0559487', 'nm0559551', 'nm0559618', 'nm0559647', 'nm0559652', 'nm0559726', 'nm0559770', 'nm0559837', 'nm0559890', 'nm0560022', 'nm0560064', 'nm0560093', 'nm0560795', 'nm0560908', 'nm0560962', 'nm0561022', 'nm0561158', 'nm0561276', 'nm0561938', 'nm0562003', 'nm0562210', 'nm0562214', 'nm0562530', 'nm0562797', 'nm0562831', 'nm0562920', 'nm0562951', 'nm0563300', 'nm0563848', 'nm0564059', 'nm0564215', 'nm0564277', 'nm0564304', 'nm0564402', 'nm0564500', 'nm0564697', 'nm0564841', 'nm0564857', 'nm0564901', 'nm0565250', 'nm0565279', 'nm0565569', 'nm0565647', 'nm0566084', 'nm0566089', 'nm0566187', 'nm0566478', 'nm0566680', 'nm0566783', 'nm0566902', 'nm0566948', 'nm0567019', 'nm0567031', 'nm0567356', 'nm0567521', 'nm0567524', 'nm0567839', 'nm0567945', 'nm0568180', 'nm0568385', 'nm0568399', 'nm0568491', 'nm0568499', 'nm0568918', 'nm0569000', 'nm0569079', 'nm0569156', 'nm0569239', 'nm0569458', 'nm0569593', 'nm0569962', 'nm0570192', 'nm0570364', 'nm0570570', 'nm0570598', 'nm0571106', 'nm0571160', 'nm0571264', 'nm0571435', 'nm0571639', 'nm0571674', 'nm0571727', 'nm0571853', 'nm0571952', 'nm0572142', 'nm0572217', 'nm0572268', 'nm0572963', 'nm0573197', 'nm0573354', 'nm0573552', 'nm0573658', 'nm0574173', 'nm0574433', 'nm0574447', 'nm0574513', 'nm0574534', 'nm0574615', 'nm0574668', 'nm0574873', 'nm0575184', 'nm0575476', 'nm0575905', 'nm0576127', 'nm0576345', 'nm0576928', 'nm0577080', 'nm0577167', 'nm0577219', 'nm0577329', 'nm0577423', 'nm0577828', 'nm0577982', 'nm0578014', 'nm0578527', 'nm0578689', 'nm0578766', 'nm0578829', 'nm0578853', 'nm0578949', 'nm0579234', 'nm0579281', 'nm0579528', 'nm0579663', 'nm0579693', 'nm0579728', 'nm0579823', 'nm0579828', 'nm0579844', 'nm0579953', 'nm0579991', 'nm0580101', 'nm0580240', 'nm0580351', 'nm0580440', 'nm0580499', 'nm0580565', 'nm0580655', 'nm0580664', 'nm0580725', 'nm0580924', 'nm0580989', 'nm0581145', 'nm0581277', 'nm0581536', 'nm0581832', 'nm0581834', 'nm0581953', 'nm0582103', 'nm0582149', 'nm0582257', 'nm0582270', 'nm0582309', 'nm0582418', 'nm0582462', 'nm0582490', 'nm0582778', 'nm0582853', 'nm0582889', 'nm0582890', 'nm0582897', 'nm0582939', 'nm0583989', 'nm0584052', 'nm0584248', 'nm0584777', 'nm0584831', 'nm0584879', 'nm0584896', 'nm0585004', 'nm0585023', 'nm0585429', 'nm0585553', 'nm0585720', 'nm0585788', 'nm0585867', 'nm0585871', 'nm0586249', 'nm0586347', 'nm0586482', 'nm0586524', 'nm0586528', 'nm0586565', 'nm0586568', 'nm0586645', 'nm0586733', 'nm0586794', 'nm0587234', 'nm0587249', 'nm0587256', 'nm0587401', 'nm0587778', 'nm0587884', 'nm0587920', 'nm0587944', 'nm0588033', 'nm0588184', 'nm0588222', 'nm0588553', 'nm0588793', 'nm0588932', 'nm0589077', 'nm0589105', 'nm0589613', 'nm0589639', 'nm0589770', 'nm0590055', 'nm0590298', 'nm0590452', 'nm0590854', 'nm0590856', 'nm0590871', 'nm0590907', 'nm0590922', 'nm0591034', 'nm0591207', 'nm0591389', 'nm0591877', 'nm0591942', 'nm0591968', 'nm0592135', 'nm0592443', 'nm0592500', 'nm0592799', 'nm0592993', 'nm0593055', 'nm0593129', 'nm0593192', 'nm0593310', 'nm0593314', 'nm0593372', 'nm0593383', 'nm0593463', 'nm0593664', 'nm0593775', 'nm0593814', 'nm0593844', 'nm0593930', 'nm0593961', 'nm0594073', 'nm0594074', 'nm0594145', 'nm0594271', 'nm0594275', 'nm0594331', 'nm0594356', 'nm0594391', 'nm0594421', 'nm0594436', 'nm0594465', 'nm0594497', 'nm0594506', 'nm0594523', 'nm0594533', 'nm0594646', 'nm0594655', 'nm0594684', 'nm0594728', 'nm0594730', 'nm0594874', 'nm0594885', 'nm0595317', 'nm0595631', 'nm0595635', 'nm0595687', 'nm0596253', 'nm0596261', 'nm0596297', 'nm0596310', 'nm0596520', 'nm0596701', 'nm0596807', 'nm0596968', 'nm0597009', 'nm0597188', 'nm0597381', 'nm0597388', 'nm0597390', 'nm0597410', 'nm0597517', 'nm0597734', 'nm0597740', 'nm0598017', 'nm0598381', 'nm0598394', 'nm0598720', 'nm0598809', 'nm0598823', 'nm0598857', 'nm0598955', 'nm0598971', 'nm0599004', 'nm0599163', 'nm0599907', 'nm0600018', 'nm0600531', 'nm0600628', 'nm0600667', 'nm0600668', 'nm0600673', 'nm0600692', 'nm0601004', 'nm0601041', 'nm0601129', 'nm0601238', 'nm0601241', 'nm0601376', 'nm0601377', 'nm0601452', 'nm0601476', 'nm0601548', 'nm0601553', 'nm0601611', 'nm0602161', 'nm0602265', 'nm0602941', 'nm0602985', 'nm0603090', 'nm0603196', 'nm0603336', 'nm0603402', 'nm0603413', 'nm0603502', 'nm0603588', 'nm0603737', 'nm0603865', 'nm0603916', 'nm0604176', 'nm0604430', 'nm0604507', 'nm0604656', 'nm0604709', 'nm0604742', 'nm0604914', 'nm0604987', 'nm0605028', 'nm0605080', 'nm0605081', 'nm0605224', 'nm0605270', 'nm0605363', 'nm0605451', 'nm0605453', 'nm0605706', 'nm0605762', 'nm0605904', 'nm0605923', 'nm0606422', 'nm0606487', 'nm0606599', 'nm0606637', 'nm0607185', 'nm0607325', 'nm0607369', 'nm0607375', 'nm0607639', 'nm0607865', 'nm0607942', 'nm0608012', 'nm0608090', 'nm0608187', 'nm0608214', 'nm0608239', 'nm0608311', 'nm0608405', 'nm0608440', 'nm0608853', 'nm0609078', 'nm0609182', 'nm0609635', 'nm0609662', 'nm0609845', 'nm0609981', 'nm0610028', 'nm0610273', 'nm0610337', 'nm0610459', 'nm0610496', 'nm0610731', 'nm0610832', 'nm0610839', 'nm0611295', 'nm0611731', 'nm0611932', 'nm0612219', 'nm0612319', 'nm0612487', 'nm0612534', 'nm0612611', 'nm0612691', 'nm0612743', 'nm0613130', 'nm0613147', 'nm0613354', 'nm0613364', 'nm0613385', 'nm0613461', 'nm0613472', 'nm0613509', 'nm0613555', 'nm0613598', 'nm0613997', 'nm0614026', 'nm0614030', 'nm0614165', 'nm0614220', 'nm0614278', 'nm0614526', 'nm0614677', 'nm0614877', 'nm0614916', 'nm0615031', 'nm0615540', 'nm0616034', 'nm0616068', 'nm0616475', 'nm0616481', 'nm0616543', 'nm0616550', 'nm0616729', 'nm0617079', 'nm0617277', 'nm0617622', 'nm0617726', 'nm0617736', 'nm0617759', 'nm0617846', 'nm0618057', 'nm0618218', 'nm0618291', 'nm0618456', 'nm0618517', 'nm0618520', 'nm0618574', 'nm0618690', 'nm0618797', 'nm0618865', 'nm0619016', 'nm0619107', 'nm0619116', 'nm0619173', 'nm0619178', 'nm0619185', 'nm0619187', 'nm0619197', 'nm0619227', 'nm0619261', 'nm0619600', 'nm0619627', 'nm0619651', 'nm0619870', 'nm0619938', 'nm0619953', 'nm0620017', 'nm0620018', 'nm0620026', 'nm0620066', 'nm0620075', 'nm0620099', 'nm0620110', 'nm0620115', 'nm0620117', 'nm0620124', 'nm0620131', 'nm0620241', 'nm0620252', 'nm0620267', 'nm0620311', 'nm0620421', 'nm0620508', 'nm0620596', 'nm0620667', 'nm0620756', 'nm0621008', 'nm0621034', 'nm0621200', 'nm0621418', 'nm0621454', 'nm0621456', 'nm0621507', 'nm0621750', 'nm0621788', 'nm0621909', 'nm0621937', 'nm0621987', 'nm0622377', 'nm0622407', 'nm0622416', 'nm0622418', 'nm0622533', 'nm0622732', 'nm0622980', 'nm0623085', 'nm0623117', 'nm0623271', 'nm0623605', 'nm0623658', 'nm0623926', 'nm0624146', 'nm0624189', 'nm0624369', 'nm0624372', 'nm0624377', 'nm0624574', 'nm0624680', 'nm0624827', 'nm0625085', 'nm0625226', 'nm0625456', 'nm0625482', 'nm0625561', 'nm0625724', 'nm0625789', 'nm0626202', 'nm0626259', 'nm0626726', 'nm0627067', 'nm0627492', 'nm0627549', 'nm0627878', 'nm0627995', 'nm0628017', 'nm0628120', 'nm0628170', 'nm0628325', 'nm0628399', 'nm0628420', 'nm0628601', 'nm0628704', 'nm0628714', 'nm0628731', 'nm0628744', 'nm0628757', 'nm0628827', 'nm0628877', 'nm0628955', 'nm0629493', 'nm0629539', 'nm0629737', 'nm0629855', 'nm0630132', 'nm0630149', 'nm0630379', 'nm0630453', 'nm0631413', 'nm0631490', 'nm0631506', 'nm0631994', 'nm0632227', 'nm0632385', 'nm0632457', 'nm0632497', 'nm0632656', 'nm0632689', 'nm0632757', 'nm0632761', 'nm0632775', 'nm0633023', 'nm0633223', 'nm0633661', 'nm0633771', 'nm0634074', 'nm0634120', 'nm0634159', 'nm0634409', 'nm0634500', 'nm0634581', 'nm0634704', 'nm0635107', 'nm0635274', 'nm0635297', 'nm0635330', 'nm0635419', 'nm0635622', 'nm0635704', 'nm0635846', 'nm0635920', 'nm0635974', 'nm0636046', 'nm0636218', 'nm0636278', 'nm0636280', 'nm0636426', 'nm0636440', 'nm0636451', 'nm0636637', 'nm0636694', 'nm0636719', 'nm0636959', 'nm0636991', 'nm0637316', 'nm0637320', 'nm0637434', 'nm0637508', 'nm0637586', 'nm0637608', 'nm0637701', 'nm0637713', 'nm0638056', 'nm0638111', 'nm0638301', 'nm0638784', 'nm0638824', 'nm0638976', 'nm0639122', 'nm0639287', 'nm0639432', 'nm0639473', 'nm0639659', 'nm0639782', 'nm0639804', 'nm0640023', 'nm0640055', 'nm0640307', 'nm0640323', 'nm0640334', 'nm0640547', 'nm0640990', 'nm0641168', 'nm0641244', 'nm0641302', 'nm0641314', 'nm0641354', 'nm0641397', 'nm0641402', 'nm0641509', 'nm0641816', 'nm0641859', 'nm0641939', 'nm0641966', 'nm0642126', 'nm0642198', 'nm0642367', 'nm0642444', 'nm0642601', 'nm0642675', 'nm0643071', 'nm0643105', 'nm0643178', 'nm0643353', 'nm0643518', 'nm0643668', 'nm0643703', 'nm0643706', 'nm0643885', 'nm0644022', 'nm0644023', 'nm0644406', 'nm0644413', 'nm0644450', 'nm0644489', 'nm0644507', 'nm0644523', 'nm0644524', 'nm0644527', 'nm0644539', 'nm0644680', 'nm0644713', 'nm0644856', 'nm0644880', 'nm0644882', 'nm0644885', 'nm0644886', 'nm0644893', 'nm0644897', 'nm0644905', 'nm0644908', 'nm0645224', 'nm0645237', 'nm0645254', 'nm0645382', 'nm0645411', 'nm0645500', 'nm0645648', 'nm0645659', 'nm0645683', 'nm0645760', 'nm0646037', 'nm0646185', 'nm0646192', 'nm0646351', 'nm0646568', 'nm0646570', 'nm0647130', 'nm0647167', 'nm0647429', 'nm0647634', 'nm0647638', 'nm0647921', 'nm0648249', 'nm0648282', 'nm0648409', 'nm0648704', 'nm0648762', 'nm0648764', 'nm0648920', 'nm0648943', 'nm0649026', 'nm0649057', 'nm0649746', 'nm0649755', 'nm0649876', 'nm0650010', 'nm0650276', 'nm0650355', 'nm0650702', 'nm0650753', 'nm0650758', 'nm0650772', 'nm0651159', 'nm0651534', 'nm0651660', 'nm0651692', 'nm0651807', 'nm0651898', 'nm0651910', 'nm0652292', 'nm0652578', 'nm0652592', 'nm0652663', 'nm0652895', 'nm0652961', 'nm0653248', 'nm0653443', 'nm0653942', 'nm0653952', 'nm0654104', 'nm0654110', 'nm0654239', 'nm0654295', 'nm0654530', 'nm0654648', 'nm0654714', 'nm0654721', 'nm0654733', 'nm0654742', 'nm0654841', 'nm0655179', 'nm0655918', 'nm0655945', 'nm0656300', 'nm0656335', 'nm0656452', 'nm0656474', 'nm0656608', 'nm0656644', 'nm0656759', 'nm0656768', 'nm0656929', 'nm0657090', 'nm0657139', 'nm0657760', 'nm0658041', 'nm0658051', 'nm0658099', 'nm0658133', 'nm0658339', 'nm0658884', 'nm0658885', 'nm0659044', 'nm0659363', 'nm0659387', 'nm0659959', 'nm0660266', 'nm0660327', 'nm0660333', 'nm0660365', 'nm0660477', 'nm0660480', 'nm0661087', 'nm0661132', 'nm0661164', 'nm0661343', 'nm0661407', 'nm0661541', 'nm0661794', 'nm0661799', 'nm0661818', 'nm0661822', 'nm0661825', 'nm0661843', 'nm0661845', 'nm0661867', 'nm0661886', 'nm0661888', 'nm0661929', 'nm0661930', 'nm0661935', 'nm0661941', 'nm0661975', 'nm0661977', 'nm0662116', 'nm0662223', 'nm0662355', 'nm0662504', 'nm0662511', 'nm0662519', 'nm0662808', 'nm0662981', 'nm0663139', 'nm0663238', 'nm0663244', 'nm0663546', 'nm0663672', 'nm0663820', 'nm0663935', 'nm0664005', 'nm0664122', 'nm0664185', 'nm0664186', 'nm0664207', 'nm0664238', 'nm0664243', 'nm0664388', 'nm0664390', 'nm0664701', 'nm0665082', 'nm0665114', 'nm0665235', 'nm0665327', 'nm0665540', 'nm0665794', 'nm0665838', 'nm0665902', 'nm0665981', 'nm0666304', 'nm0666332', 'nm0666395', 'nm0666533', 'nm0666718', 'nm0666739', 'nm0666751', 'nm0666776', 'nm0667047', 'nm0667067', 'nm0667542', 'nm0667573', 'nm0667664', 'nm0667901', 'nm0667904', 'nm0667978', 'nm0667991', 'nm0668044', 'nm0668139', 'nm0668284', 'nm0668361', 'nm0668372', 'nm0668640', 'nm0668667', 'nm0668699', 'nm0668875', 'nm0668905', 'nm0668976', 'nm0668994', 'nm0669164', 'nm0669681', 'nm0669789', 'nm0670092', 'nm0670306', 'nm0670408', 'nm0670707', 'nm0671186', 'nm0671567', 'nm0671721', 'nm0671855', 'nm0671886', 'nm0671980', 'nm0672769', 'nm0673229', 'nm0673391', 'nm0673563', 'nm0673749', 'nm0673824', 'nm0674012', 'nm0674231', 'nm0674646', 'nm0674742', 'nm0674782', 'nm0675114', 'nm0675409', 'nm0675447', 'nm0675521', 'nm0675627', 'nm0675730', 'nm0675919', 'nm0676201', 'nm0676214', 'nm0676610', 'nm0676973', 'nm0677546', 'nm0677669', 'nm0677840', 'nm0677899', 'nm0677944', 'nm0677979', 'nm0678215', 'nm0678431', 'nm0678469', 'nm0678534', 'nm0679067', 'nm0679150', 'nm0679199', 'nm0679410', 'nm0680489', 'nm0680645', 'nm0680667', 'nm0680766', 'nm0680983', 'nm0681041', 'nm0681218', 'nm0681319', 'nm0681367', 'nm0681445', 'nm0681566', 'nm0681893', 'nm0681968', 'nm0682000', 'nm0682034', 'nm0682074', 'nm0682302', 'nm0682394', 'nm0682399', 'nm0682578', 'nm0682679', 'nm0682692', 'nm0682837', 'nm0683029', 'nm0683114', 'nm0683253', 'nm0683793', 'nm0684149', 'nm0684500', 'nm0684877', 'nm0684891', 'nm0685194', 'nm0685472', 'nm0685494', 'nm0685559', 'nm0685609', 'nm0685611', 'nm0685830', 'nm0685856', 'nm0686263', 'nm0686376', 'nm0686491', 'nm0687146', 'nm0687189', 'nm0687625', 'nm0687913', 'nm0687914', 'nm0687958', 'nm0688116', 'nm0688132', 'nm0688143', 'nm0688285', 'nm0688292', 'nm0688332', 'nm0688392', 'nm0689057', 'nm0689237', 'nm0689248', 'nm0689488', 'nm0689748', 'nm0689852', 'nm0689990', 'nm0689992', 'nm0690150', 'nm0690287', 'nm0690290', 'nm0690958', 'nm0691324', 'nm0691555', 'nm0691586', 'nm0691727', 'nm0691775', 'nm0692039', 'nm0692139', 'nm0692391', 'nm0692466', 'nm0692652', 'nm0692677', 'nm0692883', 'nm0693066', 'nm0693318', 'nm0693333', 'nm0693361', 'nm0693799', 'nm0693848', 'nm0694052', 'nm0694100', 'nm0694403', 'nm0694454', 'nm0694550', 'nm0694619', 'nm0694817', 'nm0694893', 'nm0695177', 'nm0695435', 'nm0695489', 'nm0695560', 'nm0695835', 'nm0695860', 'nm0696031', 'nm0696387', 'nm0696463', 'nm0696614', 'nm0696866', 'nm0697154', 'nm0697587', 'nm0697785', 'nm0697890', 'nm0697978', 'nm0698128', 'nm0698354', 'nm0698503', 'nm0698541', 'nm0698564', 'nm0698653', 'nm0698764', 'nm0698998', 'nm0699117', 'nm0699120', 'nm0699522', 'nm0699659', 'nm0699812', 'nm0700059', 'nm0700577', 'nm0700732', 'nm0700803', 'nm0700856', 'nm0700869', 'nm0700875', 'nm0700909', 'nm0701012', 'nm0701171', 'nm0701327', 'nm0701566', 'nm0701747', 'nm0702541', 'nm0702572', 'nm0702656', 'nm0702749', 'nm0702818', 'nm0702841', 'nm0702937', 'nm0702945', 'nm0703002', 'nm0703009', 'nm0703013', 'nm0703489', 'nm0703710', 'nm0703747', 'nm0703939', 'nm0704184', 'nm0704270', 'nm0704474', 'nm0704618', 'nm0704624', 'nm0704632', 'nm0704654', 'nm0704694', 'nm0704719', 'nm0705152', 'nm0705356', 'nm0705956', 'nm0706152', 'nm0706256', 'nm0706368', 'nm0706537', 'nm0706556', 'nm0706567', 'nm0706619', 'nm0706787', 'nm0706842', 'nm0706883', 'nm0706926', 'nm0707246', 'nm0707300', 'nm0707399', 'nm0707425', 'nm0707814', 'nm0708045', 'nm0708081', 'nm0708293', 'nm0708503', 'nm0708873', 'nm0709314', 'nm0709359', 'nm0709620', 'nm0709704', 'nm0709907', 'nm0709947', 'nm0709951', 'nm0710330', 'nm0710447', 'nm0710938', 'nm0710943', 'nm0711110', 'nm0711118', 'nm0711124', 'nm0711501', 'nm0711559', 'nm0711805', 'nm0711865', 'nm0712404', 'nm0712433', 'nm0712546', 'nm0712628', 'nm0712664', 'nm0712682', 'nm0712731', 'nm0712908', 'nm0713297', 'nm0713327', 'nm0713389', 'nm0713393', 'nm0713528', 'nm0714186', 'nm0714235', 'nm0714236', 'nm0714287', 'nm0714310', 'nm0714378', 'nm0714534', 'nm0714698', 'nm0714739', 'nm0714878', 'nm0714985', 'nm0715622', 'nm0715953', 'nm0715988', 'nm0716576', 'nm0716577', 'nm0716675', 'nm0717046', 'nm0717157', 'nm0717176', 'nm0717254', 'nm0717256', 'nm0717581', 'nm0717709', 'nm0717822', 'nm0718237', 'nm0718680', 'nm0719104', 'nm0719157', 'nm0719222', 'nm0719224', 'nm0719233', 'nm0719278', 'nm0719606', 'nm0719637', 'nm0719678', 'nm0719765', 'nm0719914', 'nm0719956', 'nm0720082', 'nm0720461', 'nm0720568', 'nm0720671', 'nm0720763', 'nm0720776', 'nm0720843', 'nm0720890', 'nm0721031', 'nm0721073', 'nm0721205', 'nm0721261', 'nm0721376', 'nm0721527', 'nm0721758', 'nm0722217', 'nm0722221', 'nm0722279', 'nm0722407', 'nm0722629', 'nm0722631', 'nm0722636', 'nm0722653', 'nm0722657', 'nm0722826', 'nm0723235', 'nm0723415', 'nm0723865', 'nm0724084', 'nm0724623', 'nm0724732', 'nm0724757', 'nm0724927', 'nm0724971', 'nm0724995', 'nm0725079', 'nm0725220', 'nm0725543', 'nm0725794', 'nm0725830', 'nm0726200', 'nm0726223', 'nm0726870', 'nm0727165', 'nm0727640', 'nm0727778', 'nm0728346', 'nm0728419', 'nm0728428', 'nm0728476', 'nm0728647', 'nm0728674', 'nm0728812', 'nm0728938', 'nm0729345', 'nm0729473', 'nm0729615', 'nm0729691', 'nm0730070', 'nm0730168', 'nm0730455', 'nm0731075', 'nm0731286', 'nm0731323', 'nm0731575', 'nm0731613', 'nm0731634', 'nm0731685', 'nm0731772', 'nm0731897', 'nm0731990', 'nm0732220', 'nm0732222', 'nm0732223', 'nm0732309', 'nm0732364', 'nm0732367', 'nm0732430', 'nm0732436', 'nm0732497', 'nm0733172', 'nm0733259', 'nm0733625', 'nm0733629', 'nm0733780', 'nm0733784', 'nm0733812', 'nm0734000', 'nm0734015', 'nm0734310', 'nm0734442', 'nm0734463', 'nm0734498', 'nm0734532', 'nm0734668', 'nm0734751', 'nm0735134', 'nm0735226', 'nm0735442', 'nm0736263', 'nm0736622', 'nm0736777', 'nm0736889', 'nm0737396', 'nm0737533', 'nm0737538', 'nm0737938', 'nm0737947', 'nm0737979', 'nm0738071', 'nm0738415', 'nm0738918', 'nm0739087', 'nm0739124', 'nm0739360', 'nm0739787', 'nm0739838', 'nm0740067', 'nm0740075', 'nm0740090', 'nm0740264', 'nm0740360', 'nm0740383', 'nm0740505', 'nm0740856', 'nm0741242', 'nm0741378', 'nm0741388', 'nm0741394', 'nm0741461', 'nm0741803', 'nm0741893', 'nm0742975', 'nm0743304', 'nm0743516', 'nm0743605', 'nm0744043', 'nm0744272', 'nm0744279', 'nm0744288', 'nm0744331', 'nm0744351', 'nm0744485', 'nm0744638', 'nm0744834', 'nm0745194', 'nm0745598', 'nm0745600', 'nm0745751', 'nm0745774', 'nm0745905', 'nm0746021', 'nm0746125', 'nm0746162', 'nm0746583', 'nm0746714', 'nm0746896', 'nm0747413', 'nm0747653', 'nm0747687', 'nm0747690', 'nm0747759', 'nm0748004', 'nm0748075', 'nm0748207', 'nm0748338', 'nm0748620', 'nm0748919', 'nm0748964', 'nm0748973', 'nm0749104', 'nm0749263', 'nm0749363', 'nm0749476', 'nm0749570', 'nm0750037', 'nm0750192', 'nm0750353', 'nm0750530', 'nm0750885', 'nm0751018', 'nm0751088', 'nm0751111', 'nm0751210', 'nm0751263', 'nm0751518', 'nm0751541', 'nm0751638', 'nm0751899', 'nm0751917', 'nm0751942', 'nm0751983', 'nm0752137', 'nm0752182', 'nm0752407', 'nm0752636', 'nm0752740', 'nm0752751', 'nm0752813', 'nm0752876', 'nm0752893', 'nm0753041', 'nm0753068', 'nm0753314', 'nm0753423', 'nm0753479', 'nm0753480', 'nm0753486', 'nm0753526', 'nm0753666', 'nm0753716', 'nm0753944', 'nm0754149', 'nm0754165', 'nm0754184', 'nm0754204', 'nm0754416', 'nm0754512', 'nm0754955', 'nm0755009', 'nm0755310', 'nm0755364', 'nm0755403', 'nm0755548', 'nm0755603', 'nm0755702', 'nm0755725', 'nm0755974', 'nm0756083', 'nm0756135', 'nm0756203', 'nm0756492', 'nm0756820', 'nm0756839', 'nm0756870', 'nm0757049', 'nm0757076', 'nm0757087', 'nm0757290', 'nm0757293', 'nm0757304', 'nm0757327', 'nm0757855', 'nm0758047', 'nm0758364', 'nm0758405', 'nm0758406', 'nm0758760', 'nm0759395', 'nm0759465', 'nm0759477', 'nm0759757', 'nm0759967', 'nm0760225', 'nm0760337', 'nm0760394', 'nm0760665', 'nm0760701', 'nm0760778', 'nm0760796', 'nm0761055', 'nm0761187', 'nm0761212', 'nm0761420', 'nm0761457', 'nm0761572', 'nm0761587', 'nm0761866', 'nm0762080', 'nm0762248', 'nm0762445', 'nm0762524', 'nm0762965', 'nm0762966', 'nm0763022', 'nm0763153', 'nm0763590', 'nm0763847', 'nm0763858', 'nm0763928', 'nm0764020', 'nm0764394', 'nm0764430', 'nm0764606', 'nm0764671', 'nm0764774', 'nm0765325', 'nm0765546', 'nm0765597', 'nm0765604', 'nm0765605', 'nm0765648', 'nm0765815', 'nm0765838', 'nm0765899', 'nm0766005', 'nm0766056', 'nm0766225', 'nm0766233', 'nm0766392', 'nm0766470', 'nm0766541', 'nm0766736', 'nm0766837', 'nm0766970', 'nm0767243', 'nm0767437', 'nm0767443', 'nm0767445', 'nm0767710', 'nm0767880', 'nm0767930', 'nm0768017', 'nm0768334', 'nm0768430', 'nm0768614', 'nm0768788', 'nm0769084', 'nm0769237', 'nm0769273', 'nm0769311', 'nm0769446', 'nm0770449', 'nm0770670', 'nm0770726', 'nm0770730', 'nm0771414', 'nm0771621', 'nm0771633', 'nm0771713', 'nm0771739', 'nm0771950', 'nm0772480', 'nm0772704', 'nm0773308', 'nm0773525', 'nm0773533', 'nm0773884', 'nm0773932', 'nm0773973', 'nm0774277', 'nm0774385', 'nm0774386', 'nm0774622', 'nm0774776', 'nm0775087', 'nm0775799', 'nm0775866', 'nm0776914', 'nm0777432', 'nm0777760', 'nm0777788', 'nm0778016', 'nm0778327', 'nm0778335', 'nm0778345', 'nm0778642', 'nm0778831', 'nm0778986', 'nm0779084', 'nm0779681', 'nm0779785', 'nm0779866', 'nm0780485', 'nm0780678', 'nm0780918', 'nm0781029', 'nm0781238', 'nm0781245', 'nm0781493', 'nm0781883', 'nm0781913', 'nm0781981', 'nm0782005', 'nm0782213', 'nm0782561', 'nm0782565', 'nm0782840', 'nm0782863', 'nm0782869', 'nm0782885', 'nm0783325', 'nm0783422', 'nm0783767', 'nm0783879', 'nm0784025', 'nm0784106', 'nm0784111', 'nm0784347', 'nm0784410', 'nm0784576', 'nm0784773', 'nm0784818', 'nm0784884', 'nm0785123', 'nm0785227', 'nm0785264', 'nm0785536', 'nm0785664', 'nm0785771', 'nm0785842', 'nm0786022', 'nm0786399', 'nm0786417', 'nm0786580', 'nm0786614', 'nm0786639', 'nm0786806', 'nm0786849', 'nm0786891', 'nm0786904', 'nm0787462', 'nm0787570', 'nm0787621', 'nm0788009', 'nm0788335', 'nm0788340', 'nm0788351', 'nm0788829', 'nm0788918', 'nm0789070', 'nm0789093', 'nm0789478', 'nm0789716', 'nm0789864', 'nm0789976', 'nm0790057', 'nm0790501', 'nm0790688', 'nm0791176', 'nm0791226', 'nm0791328', 'nm0791467', 'nm0791487', 'nm0791502', 'nm0791636', 'nm0791665', 'nm0791864', 'nm0792004', 'nm0792069', 'nm0792156', 'nm0792514', 'nm0792679', 'nm0792888', 'nm0792908', 'nm0793008', 'nm0793069', 'nm0793168', 'nm0793330', 'nm0793384', 'nm0793389', 'nm0793399', 'nm0793402', 'nm0793404', 'nm0793438', 'nm0793534', 'nm0793536', 'nm0793540', 'nm0793544', 'nm0793577', 'nm0793616', 'nm0793668', 'nm0793731', 'nm0793766', 'nm0793781', 'nm0793782', 'nm0793784', 'nm0793788', 'nm0793790', 'nm0793791', 'nm0793795', 'nm0793813', 'nm0793822', 'nm0793879', 'nm0793989', 'nm0793992', 'nm0794002', 'nm0794186', 'nm0794351', 'nm0794478', 'nm0794827', 'nm0794896', 'nm0795169', 'nm0795290', 'nm0795495', 'nm0795517', 'nm0795661', 'nm0795711', 'nm0796196', 'nm0796222', 'nm0796267', 'nm0796606', 'nm0796793', 'nm0796977', 'nm0797109', 'nm0797150', 'nm0797198', 'nm0797382', 'nm0797507', 'nm0797531', 'nm0797614', 'nm0797674', 'nm0797985', 'nm0798328', 'nm0798473', 'nm0798513', 'nm0798611', 'nm0798718', 'nm0798779', 'nm0798971', 'nm0799777', 'nm0800302', 'nm0800386', 'nm0800638', 'nm0801051', 'nm0801264', 'nm0801507', 'nm0801672', 'nm0802103', 'nm0802183', 'nm0802410', 'nm0802462', 'nm0802543', 'nm0802995', 'nm0803037', 'nm0803182', 'nm0803263', 'nm0803308', 'nm0803310', 'nm0803785', 'nm0803889', 'nm0804093', 'nm0804353', 'nm0804673', 'nm0804741', 'nm0805127', 'nm0805653', 'nm0806277', 'nm0806527', 'nm0806761', 'nm0807252', 'nm0807288', 'nm0807506', 'nm0807571', 'nm0807773', 'nm0807900', 'nm0808022', 'nm0808055', 'nm0808525', 'nm0809031', 'nm0809049', 'nm0809131', 'nm0809196', 'nm0809204', 'nm0809285', 'nm0809544', 'nm0809720', 'nm0810051', 'nm0810461', 'nm0810500', 'nm0810550', 'nm0810619', 'nm0810632', 'nm0810679', 'nm0810722', 'nm0811202', 'nm0811242', 'nm0811562', 'nm0811714', 'nm0811812', 'nm0811940', 'nm0812303', 'nm0812307', 'nm0812485', 'nm0812555', 'nm0812556', 'nm0812790', 'nm0813006', 'nm0813066', 'nm0813272', 'nm0813463', 'nm0813691', 'nm0813896', 'nm0813961', 'nm0814162', 'nm0814171', 'nm0814185', 'nm0814259', 'nm0814271', 'nm0814280', 'nm0814289', 'nm0814309', 'nm0814718', 'nm0814773', 'nm0814799', 'nm0815040', 'nm0815370', 'nm0816030', 'nm0816332', 'nm0816508', 'nm0816950', 'nm0817027', 'nm0817635', 'nm0817748', 'nm0817881', 'nm0817983', 'nm0818055', 'nm0818204', 'nm0819324', 'nm0819491', 'nm0819741', 'nm0819825', 'nm0819850', 'nm0819851', 'nm0819874', 'nm0820053', 'nm0820566', 'nm0820696', 'nm0821082', 'nm0821145', 'nm0821256', 'nm0821311', 'nm0821328', 'nm0821543', 'nm0821637', 'nm0822004', 'nm0822034', 'nm0822191', 'nm0822222', 'nm0822354', 'nm0822572', 'nm0822683', 'nm0822958', 'nm0822982', 'nm0823076', 'nm0823435', 'nm0823475', 'nm0823633', 'nm0823693', 'nm0823714', 'nm0824113', 'nm0824373', 'nm0824377', 'nm0824386', 'nm0824389', 'nm0824452', 'nm0824489', 'nm0824517', 'nm0825314', 'nm0825340', 'nm0825555', 'nm0825681', 'nm0825952', 'nm0826273', 'nm0826315', 'nm0826611', 'nm0826746', 'nm0826786', 'nm0827032', 'nm0827137', 'nm0827319', 'nm0827361', 'nm0827561', 'nm0827565', 'nm0827663', 'nm0827880', 'nm0827973', 'nm0828085', 'nm0828500', 'nm0828838', 'nm0828906', 'nm0829032', 'nm0829155', 'nm0829165', 'nm0829252', 'nm0829576', 'nm0829699', 'nm0829807', 'nm0830968', 'nm0831099', 'nm0831467', 'nm0831601', 'nm0831660', 'nm0831791', 'nm0832011', 'nm0832165', 'nm0832227', 'nm0832314', 'nm0832375', 'nm0832422', 'nm0832792', 'nm0833152', 'nm0833652', 'nm0834130', 'nm0834380', 'nm0834479', 'nm0834626', 'nm0834754', 'nm0834847', 'nm0834989', 'nm0835016', 'nm0835045', 'nm0835393', 'nm0835426', 'nm0835527', 'nm0835629', 'nm0835738', 'nm0835916', 'nm0836051', 'nm0836054', 'nm0836071', 'nm0836121', 'nm0836137', 'nm0836176', 'nm0836343', 'nm0836387', 'nm0836432', 'nm0836479', 'nm0836534', 'nm0836681', 'nm0836683', 'nm0836684', 'nm0836742', 'nm0836836', 'nm0837064', 'nm0837177', 'nm0837223', 'nm0837279', 'nm0837282', 'nm0837420', 'nm0837431', 'nm0837489', 'nm0837503', 'nm0837523', 'nm0837744', 'nm0837784', 'nm0837830', 'nm0837868', 'nm0837925', 'nm0837992', 'nm0838059', 'nm0838484', 'nm0838911', 'nm0838944', 'nm0839090', 'nm0839146', 'nm0839209', 'nm0839286', 'nm0839293', 'nm0839730', 'nm0839847', 'nm0839977', 'nm0840095', 'nm0840371', 'nm0840531', 'nm0840551', 'nm0840598', 'nm0840639', 'nm0840642', 'nm0840660', 'nm0840664', 'nm0840667', 'nm0840754', 'nm0840762', 'nm0840772', 'nm0840823', 'nm0841700', 'nm0841910', 'nm0842023', 'nm0842116', 'nm0842475', 'nm0842587', 'nm0842596', 'nm0842630', 'nm0842677', 'nm0842737', 'nm0842770', 'nm0842794', 'nm0842934', 'nm0842962', 'nm0843059', 'nm0843213', 'nm0843401', 'nm0843686', 'nm0843722', 'nm0843943', 'nm0844371', 'nm0844435', 'nm0844462', 'nm0844718', 'nm0844845', 'nm0844983', 'nm0845209', 'nm0845270', 'nm0845301', 'nm0845434', 'nm0845609', 'nm0846480', 'nm0846484', 'nm0846548', 'nm0846616', 'nm0846681', 'nm0846754', 'nm0847054', 'nm0847085', 'nm0847114', 'nm0847128', 'nm0847146', 'nm0847166', 'nm0847264', 'nm0847265', 'nm0847302', 'nm0847356', 'nm0847361', 'nm0847392', 'nm0847393', 'nm0847439', 'nm0847490', 'nm0847562', 'nm0847594', 'nm0847607', 'nm0847624', 'nm0847744', 'nm0847799', 'nm0848075', 'nm0848154', 'nm0848377', 'nm0848533', 'nm0848560', 'nm0848583', 'nm0848968', 'nm0848984', 'nm0848993', 'nm0849011', 'nm0849028', 'nm0849032', 'nm0849050', 'nm0849095', 'nm0849100', 'nm0849199', 'nm0849437', 'nm0849477', 'nm0849612', 'nm0849789', 'nm0849916', 'nm0850162', 'nm0850254', 'nm0850387', 'nm0850648', 'nm0850896', 'nm0850950', 'nm0851113', 'nm0851302', 'nm0851582', 'nm0851663', 'nm0851683', 'nm0851768', 'nm0851839', 'nm0851848', 'nm0852008', 'nm0852132', 'nm0852173', 'nm0852279', 'nm0852305', 'nm0852551', 'nm0852599', 'nm0852710', 'nm0852965', 'nm0853041', 'nm0853079', 'nm0853171', 'nm0853478', 'nm0853583', 'nm0853900', 'nm0854045', 'nm0854250', 'nm0854440', 'nm0854676', 'nm0854702', 'nm0854815', 'nm0854909', 'nm0855039', 'nm0855092', 'nm0855103', 'nm0855133', 'nm0855385', 'nm0855417', 'nm0855427', 'nm0855564', 'nm0856210', 'nm0856376', 'nm0856500', 'nm0856672', 'nm0856708', 'nm0856749', 'nm0856808', 'nm0856908', 'nm0856918', 'nm0857147', 'nm0857425', 'nm0857620', 'nm0857663', 'nm0857806', 'nm0858048', 'nm0858054', 'nm0858247', 'nm0858479', 'nm0858747', 'nm0858858', 'nm0858977', 'nm0859005', 'nm0859197', 'nm0859365', 'nm0859503', 'nm0859740', 'nm0859772', 'nm0859921', 'nm0860233', 'nm0860309', 'nm0860373', 'nm0860443', 'nm0860572', 'nm0860687', 'nm0860712', 'nm0860947', 'nm0860997', 'nm0861013', 'nm0861345', 'nm0861558', 'nm0862026', 'nm0862479', 'nm0862841', 'nm0862858', 'nm0862882', 'nm0862907', 'nm0862932', 'nm0862937', 'nm0863130', 'nm0863171', 'nm0863599', 'nm0863604', 'nm0863614', 'nm0863816', 'nm0863839', 'nm0863851', 'nm0863968', 'nm0864051', 'nm0864081', 'nm0864458', 'nm0864490', 'nm0864798', 'nm0864892', 'nm0864937', 'nm0864997', 'nm0865119', 'nm0865302', 'nm0865333', 'nm0865411', 'nm0865438', 'nm0865546', 'nm0865575', 'nm0865828', 'nm0865949', 'nm0866271', 'nm0866537', 'nm0866745', 'nm0867222', 'nm0867401', 'nm0867622', 'nm0867675', 'nm0867694', 'nm0867718', 'nm0867888', 'nm0867949', 'nm0868479', 'nm0868587', 'nm0868659', 'nm0869022', 'nm0869088', 'nm0869164', 'nm0869590', 'nm0869871', 'nm0869927', 'nm0870262', 'nm0870317', 'nm0870384', 'nm0870439', 'nm0870590', 'nm0870794', 'nm0871287', 'nm0871406', 'nm0871456', 'nm0871827', 'nm0871876', 'nm0872282', 'nm0872689', 'nm0872729', 'nm0872910', 'nm0873693', 'nm0873744', 'nm0873998', 'nm0874232', 'nm0874486', 'nm0874676', 'nm0874711', 'nm0874865', 'nm0874866', 'nm0874908', 'nm0875041', 'nm0875244', 'nm0875268', 'nm0875275', 'nm0875320', 'nm0875354', 'nm0875434', 'nm0875444', 'nm0875477', 'nm0875492', 'nm0875495', 'nm0875861', 'nm0876138', 'nm0876300', 'nm0876645', 'nm0876805', 'nm0877083', 'nm0877149', 'nm0877270', 'nm0877430', 'nm0877888', 'nm0878155', 'nm0878202', 'nm0878240', 'nm0878252', 'nm0878500', 'nm0879073', 'nm0879085', 'nm0879186', 'nm0879263', 'nm0879556', 'nm0879743', 'nm0879871', 'nm0880054', 'nm0880081', 'nm0880181', 'nm0880246', 'nm0880299', 'nm0880319', 'nm0880484', 'nm0880521', 'nm0880554', 'nm0880761', 'nm0881081', 'nm0881303', 'nm0881420', 'nm0881561', 'nm0881631', 'nm0881708', 'nm0881802', 'nm0881829', 'nm0882169', 'nm0882219', 'nm0882691', 'nm0883013', 'nm0883462', 'nm0883465', 'nm0883701', 'nm0883875', 'nm0884313', 'nm0884368', 'nm0884396', 'nm0884770', 'nm0885014', 'nm0885084', 'nm0885091', 'nm0885123', 'nm0885204', 'nm0885304', 'nm0885386', 'nm0885474', 'nm0885480', 'nm0885885', 'nm0886045', 'nm0886072', 'nm0886142', 'nm0886556', 'nm0886638', 'nm0886702', 'nm0886824', 'nm0887144', 'nm0887161', 'nm0887551', 'nm0887684', 'nm0887700', 'nm0887708', 'nm0888022', 'nm0888276', 'nm0888468', 'nm0888882', 'nm0889024', 'nm0889475', 'nm0889522', 'nm0889708', 'nm0889846', 'nm0889855', 'nm0890055', 'nm0890232', 'nm0890278', 'nm0890346', 'nm0890388', 'nm0890532', 'nm0890726', 'nm0891092', 'nm0891388', 'nm0891502', 'nm0891786', 'nm0891863', 'nm0891895', 'nm0891943', 'nm0891998', 'nm0892299', 'nm0892383', 'nm0892649', 'nm0892891', 'nm0893196', 'nm0893341', 'nm0893584', 'nm0893941', 'nm0894211', 'nm0895083', 'nm0895249', 'nm0895256', 'nm0895308', 'nm0895384', 'nm0895607', 'nm0895759', 'nm0896035', 'nm0896292', 'nm0896331', 'nm0896557', 'nm0896726', 'nm0896735', 'nm0896894', 'nm0896944', 'nm0897150', 'nm0897201', 'nm0897333', 'nm0897376', 'nm0897510', 'nm0897527', 'nm0897640', 'nm0897811', 'nm0897813', 'nm0897845', 'nm0898062', 'nm0898408', 'nm0898546', 'nm0898571', 'nm0898634', 'nm0898653', 'nm0898866', 'nm0899487', 'nm0899517', 'nm0899544', 'nm0899594', 'nm0899681', 'nm0899685', 'nm0899703', 'nm0899911', 'nm0899953', 'nm0900143', 'nm0900201', 'nm0900349', 'nm0900557', 'nm0900569', 'nm0900653', 'nm0900877', 'nm0900915', 'nm0901057', 'nm0901110', 'nm0901346', 'nm0901679', 'nm0901901', 'nm0902059', 'nm0902083', 'nm0902161', 'nm0902188', 'nm0902281', 'nm0902455', 'nm0903312', 'nm0903329', 'nm0903677', 'nm0903762', 'nm0903985', 'nm0904537', 'nm0904574', 'nm0905311', 'nm0905357', 'nm0905564', 'nm0905622', 'nm0905676', 'nm0905677', 'nm0905691', 'nm0905884', 'nm0905935', 'nm0905993', 'nm0906402', 'nm0906640', 'nm0906718', 'nm0906722', 'nm0906723', 'nm0906756', 'nm0906932', 'nm0907175', 'nm0907539', 'nm0907548', 'nm0907915', 'nm0908022', 'nm0908094', 'nm0908116', 'nm0908914', 'nm0908919', 'nm0909117', 'nm0909727', 'nm0909763', 'nm0909768', 'nm0909944', 'nm0910040', 'nm0910180', 'nm0910278', 'nm0910322', 'nm0910329', 'nm0910607', 'nm0910737', 'nm0910864', 'nm0910947', 'nm0910966', 'nm0911007', 'nm0911093', 'nm0911285', 'nm0911320', 'nm0911395', 'nm0911431', 'nm0911697', 'nm0911700', 'nm0911844', 'nm0912001', 'nm0912308', 'nm0912329', 'nm0912376', 'nm0912460', 'nm0913475', 'nm0913488', 'nm0913585', 'nm0913738', 'nm0913796', 'nm0913812', 'nm0913822', 'nm0913843', 'nm0913912', 'nm0914139', 'nm0914223', 'nm0914234', 'nm0914424', 'nm0914455', 'nm0914491', 'nm0914612', 'nm0914929', 'nm0915077', 'nm0915208', 'nm0915218', 'nm0915356', 'nm0915365', 'nm0915458', 'nm0915465', 'nm0915468', 'nm0915612', 'nm0915615', 'nm0915618', 'nm0915764', 'nm0915865', 'nm0915919', 'nm0915989', 'nm0916037', 'nm0916067', 'nm0916073', 'nm0916406', 'nm0916432', 'nm0916434', 'nm0916616', 'nm0916617', 'nm0917100', 'nm0917347', 'nm0917848', 'nm0918315', 'nm0918334', 'nm0918573', 'nm0918616', 'nm0919361', 'nm0919525', 'nm0919616', 'nm0919924', 'nm0919934', 'nm0919991', 'nm0920460', 'nm0920569', 'nm0920574', 'nm0920918', 'nm0920992', 'nm0921044', 'nm0921459', 'nm0922035', 'nm0922170', 'nm0922210', 'nm0922342', 'nm0922367', 'nm0922644', 'nm0922929', 'nm0922967', 'nm0923481', 'nm0923554', 'nm0923774', 'nm0924154', 'nm0924204', 'nm0924210', 'nm0924433', 'nm0924576', 'nm0924964', 'nm0925096', 'nm0925220', 'nm0925232', 'nm0925234', 'nm0925868', 'nm0925916', 'nm0925966', 'nm0926013', 'nm0926209', 'nm0926592', 'nm0926599', 'nm0926723', 'nm0926919', 'nm0926982', 'nm0927092', 'nm0927240', 'nm0927641', 'nm0927711', 'nm0927833', 'nm0927835', 'nm0928134', 'nm0928697', 'nm0928736', 'nm0929489', 'nm0929562', 'nm0929582', 'nm0929609', 'nm0929654', 'nm0929683', 'nm0929731', 'nm0929931', 'nm0930326', 'nm0930806', 'nm0930898', 'nm0930970', 'nm0931090', 'nm0931324', 'nm0931329', 'nm0931404', 'nm0931654', 'nm0931958', 'nm0932112', 'nm0932265', 'nm0932302', 'nm0932831', 'nm0932870', 'nm0932954', 'nm0932986', 'nm0933096', 'nm0933281', 'nm0933435', 'nm0933443', 'nm0933447', 'nm0933727', 'nm0933740', 'nm0933798', 'nm0933940', 'nm0933973', 'nm0933988', 'nm0934019', 'nm0934059', 'nm0934318', 'nm0934563', 'nm0934618', 'nm0934902', 'nm0934968', 'nm0935190', 'nm0935395', 'nm0935423', 'nm0935441', 'nm0935541', 'nm0935653', 'nm0935659', 'nm0935721', 'nm0935975', 'nm0936298', 'nm0936315', 'nm0936403', 'nm0936427', 'nm0936476', 'nm0936587', 'nm0937304', 'nm0937930', 'nm0937936', 'nm0938396', 'nm0938464', 'nm0938590', 'nm0938860', 'nm0938863', 'nm0938893', 'nm0938950', 'nm0938975', 'nm0938977', 'nm0939153', 'nm0939255', 'nm0939275', 'nm0939326', 'nm0939697', 'nm0939710', 'nm0939795', 'nm0939943', 'nm0939991', 'nm0940158', 'nm0940362', 'nm0940892', 'nm0940893', 'nm0940946', 'nm0940974', 'nm0941298', 'nm0941575', 'nm0941683', 'nm0941777', 'nm0942039', 'nm0942046', 'nm0942202', 'nm0942482', 'nm0942646', 'nm0942668', 'nm0942682', 'nm0942782', 'nm0942787', 'nm0942792', 'nm0942858', 'nm0942863', 'nm0942876', 'nm0942925', 'nm0943002', 'nm0943072', 'nm0943079', 'nm0943104', 'nm0943177', 'nm0943237', 'nm0943519', 'nm0943614', 'nm0943837', 'nm0943978', 'nm0943986', 'nm0944018', 'nm0944073', 'nm0944087', 'nm0944192', 'nm0944400', 'nm0944834', 'nm0944902', 'nm0945131', 'nm0945189', 'nm0945290', 'nm0945299', 'nm0945312', 'nm0945322', 'nm0945340', 'nm0945359', 'nm0945377', 'nm0945378', 'nm0945443', 'nm0945500', 'nm0945522', 'nm0945597', 'nm0945638', 'nm0945726', 'nm0945984', 'nm0945994', 'nm0946015', 'nm0946026', 'nm0946148', 'nm0946159', 'nm0946179', 'nm0946184', 'nm0946216', 'nm0946352', 'nm0946473', 'nm0946642', 'nm0946873', 'nm0946962', 'nm0947000', 'nm0947338', 'nm0947447', 'nm0947457', 'nm0947507', 'nm0947514', 'nm0947530', 'nm0947935', 'nm0947939', 'nm0947941', 'nm0948012', 'nm0948034', 'nm0948045', 'nm0948078', 'nm0948112', 'nm0948146', 'nm0948154', 'nm0948267', 'nm0948438', 'nm0948445', 'nm0948588', 'nm0948615', 'nm0948636', 'nm0948772', 'nm0949045', 'nm0949069', 'nm0949097', 'nm0949105', 'nm0949166', 'nm0949167', 'nm0949217', 'nm0949237', 'nm0949292', 'nm0949350', 'nm0949574', 'nm0949599', 'nm0949744', 'nm0949775', 'nm0949935', 'nm0950510', 'nm0950552', 'nm0950604', 'nm0950707', 'nm0950757', 'nm0950788', 'nm0950814', 'nm0950902', 'nm0950912', 'nm0950918', 'nm0950926', 'nm0950953', 'nm0951148', 'nm0951206', 'nm0951295', 'nm0951309', 'nm0951365', 'nm0951456', 'nm0951597', 'nm0951958', 'nm0952043', 'nm0952116', 'nm0952205', 'nm0952365', 'nm0952369', 'nm0952390', 'nm0952498', 'nm0952519', 'nm0952841', 'nm0953091', 'nm0953168', 'nm0953400', 'nm0953423', 'nm0953664', 'nm0953822', 'nm0953973', 'nm0954222', 'nm0954225', 'nm0954328', 'nm0954348', 'nm0954704', 'nm0954786', 'nm0955004', 'nm0955028', 'nm0955188', 'nm0955342', 'nm0955443', 'nm0955471', 'nm0955504', 'nm0955505', 'nm0955933', 'nm0956526', 'nm0956884', 'nm0957029', 'nm0957050', 'nm0958658', 'nm0959113', 'nm0959242', 'nm0959304', 'nm0959575', 'nm0959614', 'nm0959897', 'nm0959964', 'nm0959991', 'nm0960033', 'nm0960236', 'nm0960319', 'nm0960352', 'nm0960379', 'nm0960389', 'nm0961093', 'nm0961121', 'nm0962398', 'nm0962447', 'nm0968405', 'nm0968532', 'nm0968541', 'nm0968559', 'nm0968570', 'nm0968797', 'nm0969901', 'nm0970337', 'nm0970386', 'nm0971135', 'nm0971346', 'nm0971378', 'nm0972330', 'nm0972506', 'nm0972851', 'nm0973153', 'nm0973177', 'nm0973370', 'nm0973907', 'nm0974332', 'nm0974364', 'nm0974395', 'nm0974575', 'nm0974687', 'nm0974692', 'nm0988895', 'nm0989100', 'nm0989407', 'nm0989471', 'nm0990547', 'nm0990671', 'nm0990777', 'nm0991671', 'nm0991810', 'nm0991826', 'nm0991952', 'nm0992000', 'nm0992340', 'nm0992629', 'nm0992694', 'nm0992799', 'nm0992864', 'nm0992882', 'nm0993019', 'nm0993076', 'nm0993081', 'nm0993158', 'nm0993167', 'nm0993173', 'nm0993242', 'nm0993309', 'nm0993396', 'nm0993519', 'nm0993574', 'nm0993617', 'nm0993633', 'nm0993646', 'nm0993647', 'nm0993651', 'nm0993695', 'nm0993723', 'nm0996374', 'nm0996669', 'nm0997115', 'nm0997144', 'nm0997521', 'nm0997525', 'nm0997616', 'nm0997795', 'nm0997982', 'nm0998201', 'nm0998480', 'nm0998801', 'nm0998846', 'nm0998941', 'nm0999021', 'nm0999192', 'nm0999207', 'nm0999217', 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'nm10077115', 'nm1007740', 'nm10079577', 'nm10080426', 'nm10081973', 'nm10082332', 'nm1008415', 'nm10086309', 'nm1008648', 'nm10087263', 'nm10088172', 'nm10088173', 'nm10088178', 'nm10088453', 'nm1009140', 'nm10092688', 'nm10092690', 'nm10092691', 'nm10092692', 'nm10092694', 'nm1009277', 'nm1009350', 'nm10094525', 'nm1009531', 'nm10095780', 'nm1009594', 'nm1009595', 'nm10096861', 'nm10098943', 'nm10101126', 'nm10107202', 'nm10107204', 'nm10107205', 'nm10107473', 'nm1010931', 'nm1010984', 'nm10110605', 'nm1011070', 'nm1011158', 'nm1011206', 'nm1011269', 'nm1011431', 'nm10114450', 'nm1011675', 'nm10119621', 'nm10119810', 'nm10120018', 'nm1012029', 'nm1012117', 'nm10121767', 'nm1012492', 'nm1012534', 'nm10126671', 'nm1012760', 'nm10128408', 'nm1013002', 'nm1013003', 'nm10132447', 'nm10132464', 'nm10133836', 'nm10134305', 'nm10135218', 'nm10137687', 'nm10137690', 'nm10137691', 'nm10137692', 'nm10137693', 'nm10138559', 'nm10138675', 'nm10138913', 'nm10139212', 'nm10139513', 'nm10140375', 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'nm10214834', 'nm1021932', 'nm10219440', 'nm10219441', 'nm10221090', 'nm10221960', 'nm1022228', 'nm10222632', 'nm10222635', 'nm10222855', 'nm10223873', 'nm10223954', 'nm10224063', 'nm10224069', 'nm10224072', 'nm10226583', 'nm10226666', 'nm10226804', 'nm10228854', 'nm10231820', 'nm10233393', 'nm10235949', 'nm10238213', 'nm10239333', 'nm10239989', 'nm10240842', 'nm10245119', 'nm1024517', 'nm1024646', 'nm1024677', 'nm10247414', 'nm10249310', 'nm1024953', 'nm10251235', 'nm1025139', 'nm10251442', 'nm10252468', 'nm10253108', 'nm10253132', 'nm1025704', 'nm10257679', 'nm10257702', 'nm10258472', 'nm10259997', 'nm1026008', 'nm10261645', 'nm1026350', 'nm10266792', 'nm10270255', 'nm10270258', 'nm10271724', 'nm10273397', 'nm10273446', 'nm1027458', 'nm1027703', 'nm10279346', 'nm10279357', 'nm10280717', 'nm10281529', 'nm10281919', 'nm10283728', 'nm1028580', 'nm1028642', 'nm10286451', 'nm1028780', 'nm10287808', 'nm10288814', 'nm10288838', 'nm10289762', 'nm1028991', 'nm10291926', 'nm10292300', 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'nm2412462', 'nm2412682', 'nm2412779', 'nm2412823', 'nm2414190', 'nm2415554', 'nm2415561', 'nm2415604', 'nm2416533', 'nm2416757', 'nm2418587', 'nm2419062', 'nm2419569', 'nm2419680', 'nm2420768', 'nm2420872', 'nm2421211', 'nm2421884', 'nm2422305', 'nm2422612', 'nm2423300', 'nm2423358', 'nm2425074', 'nm2425105', 'nm2425148', 'nm2425610', 'nm2426012', 'nm2426101', 'nm2426153', 'nm2427684', 'nm2428245', 'nm2428413', 'nm2428838', 'nm2429015', 'nm2431167', 'nm2431340', 'nm2432160', 'nm2432575', 'nm2432662', 'nm2433460', 'nm2433514', 'nm2435120', 'nm2435571', 'nm2436080', 'nm2437361', 'nm2437382', 'nm2437690', 'nm2439076', 'nm2439111', 'nm2439150', 'nm2439852', 'nm2439994', 'nm2440234', 'nm2440242', 'nm2440627', 'nm2441012', 'nm2441057', 'nm2441383', 'nm2441708', 'nm2441974', 'nm2442113', 'nm2442175', 'nm2442289', 'nm2442544', 'nm2442560', 'nm2442642', 'nm2443438', 'nm2443758', 'nm2443797', 'nm2444005', 'nm2445301', 'nm2445325', 'nm2446786', 'nm2450871', 'nm2452384', 'nm2452551', 'nm2452567', 'nm2454994', 'nm2456292', 'nm2456419', 'nm2457325', 'nm2459898', 'nm2459960', 'nm2460100', 'nm2460552', 'nm2460947', 'nm2461627', 'nm2462004', 'nm2463438', 'nm2464762', 'nm2465399', 'nm2465485', 'nm2466842', 'nm2467177', 'nm2468012', 'nm2468499', 'nm2468782', 'nm2471154', 'nm2471298', 'nm2471798', 'nm2472972', 'nm2475161', 'nm2476437', 'nm2476624', 'nm2477204', 'nm2477239', 'nm2478138', 'nm2478570', 'nm2478608', 'nm2478923', 'nm2480549', 'nm2480966', 'nm2481000', 'nm2482007', 'nm2482064', 'nm2482391', 'nm2482473', 'nm2482562', 'nm2485230', 'nm2485721', 'nm2486264', 'nm2486428', 'nm2488429', 'nm2488624', 'nm2489485', 'nm2489970', 'nm2490263', 'nm2490324', 'nm2490439', 'nm2490588', 'nm2491771', 'nm2492387', 'nm2492819', 'nm2492959', 'nm2493422', 'nm2493443', 'nm2493683', 'nm2494304', 'nm2494806', 'nm2494862', 'nm2495191', 'nm2495343', 'nm2495714', 'nm2495786', 'nm2498449', 'nm2498552', 'nm2498639', 'nm2498694', 'nm2498781', 'nm2498928', 'nm2499059', 'nm2499089', 'nm2499927', 'nm2500200', 'nm2501021', 'nm2501421', 'nm2505548', 'nm2507913', 'nm2509609', 'nm2509638', 'nm2511502', 'nm2513322', 'nm2514387', 'nm2514985', 'nm2516193', 'nm2516299', 'nm2518190', 'nm2518296', 'nm2518549', 'nm2518711', 'nm2518976', 'nm2519287', 'nm2521041', 'nm2523105', 'nm2523877', 'nm2523928', 'nm2524051', 'nm2525282', 'nm2525790', 'nm2526613', 'nm2527406', 'nm2529079', 'nm2530783', 'nm2531628', 'nm2533362', 'nm2534638', 'nm2535691', 'nm2536215', 'nm2536476', 'nm2537099', 'nm2537159', 'nm2537621', 'nm2538735', 'nm2539870', 'nm2539875', 'nm2539953', 'nm2540339', 'nm2541232', 'nm2541378', 'nm2541767', 'nm2541974', 'nm2542694', 'nm2543344', 'nm2546012', 'nm2547958', 'nm2549650', 'nm2550198', 'nm2550918', 'nm2551395', 'nm2552034', 'nm2552460', 'nm2553880', 'nm2554104', 'nm2554352', 'nm2554997', 'nm2555026', 'nm2555462', 'nm2555590', 'nm2555989', 'nm2556155', 'nm2556869', 'nm2557147', 'nm2557245', 'nm2557350', 'nm2558355', 'nm2558580', 'nm2559036', 'nm2559067', 'nm2559633', 'nm2560043', 'nm2560059', 'nm2560232', 'nm2560618', 'nm2560908', 'nm2561940', 'nm2562191', 'nm2562304', 'nm2563293', 'nm2563318', 'nm2563709', 'nm2564029', 'nm2564837', 'nm2564938', 'nm2564974', 'nm2565039', 'nm2565069', 'nm2565312', 'nm2565880', 'nm2566110', 'nm2566697', 'nm2567228', 'nm2567492', 'nm2568270', 'nm2568657', 'nm2569233', 'nm2571375', 'nm2572450', 'nm2572554', 'nm2573394', 'nm2573496', 'nm2573591', 'nm2573928', 'nm2575442', 'nm2575541', 'nm2576262', 'nm2577076', 'nm2578357', 'nm2578454', 'nm2579025', 'nm2579464', 'nm2579891', 'nm2580458', 'nm2580486', 'nm2581521', 'nm2582360', 'nm2582373', 'nm2582459', 'nm2582755', 'nm2582876', 'nm2583046', 'nm2583521', 'nm2584117', 'nm2584392', 'nm2584600', 'nm2584860', 'nm2584975', 'nm2586680', 'nm2588194', 'nm2588226', 'nm2588335', 'nm2588665', 'nm2588698', 'nm2588986', 'nm2589443', 'nm2590345', 'nm2590448', 'nm2592734', 'nm2594301', 'nm2594314', 'nm2595573', 'nm2596092', 'nm2596365', 'nm2596515', 'nm2596793', 'nm2598903', 'nm2599071', 'nm2600002', 'nm2600104', 'nm2600404', 'nm2600906', 'nm2601626', 'nm2601709', 'nm2602462', 'nm2603323', 'nm2603915', 'nm2604327', 'nm2604483', 'nm2604500', 'nm2604920', 'nm2604957', 'nm2605345', 'nm2606345', 'nm2606394', 'nm2606431', 'nm2606645', 'nm2606702', 'nm2607307', 'nm2608040', 'nm2608214', 'nm2608689', 'nm2609571', 'nm2611074', 'nm2611421', 'nm2613190', 'nm2613582', 'nm2614133', 'nm2614149', 'nm2614237', 'nm2614548', 'nm2616557', 'nm2619114', 'nm2621362', 'nm2621516', 'nm2623363', 'nm2623492', 'nm2624868', 'nm2624923', 'nm2625538', 'nm2626646', 'nm2628776', 'nm2628935', 'nm2632573', 'nm2632878', 'nm2633535', 'nm2634624', 'nm2634830', 'nm2634845', 'nm2635051', 'nm2635513', 'nm2636310', 'nm2636770', 'nm2637669', 'nm2638074', 'nm2639722', 'nm2640600', 'nm2640887', 'nm2642131', 'nm2643206', 'nm2644115', 'nm2647420', 'nm2647981', 'nm2649720', 'nm2650306', 'nm2650819', 'nm2652095', 'nm2652716', 'nm2653929', 'nm2654829', 'nm2655177', 'nm2660163', 'nm2660484', 'nm2662182', 'nm2664367', 'nm2664413', 'nm2664712', 'nm2664819', 'nm2665105', 'nm2665929', 'nm2667240', 'nm2670576', 'nm2671054', 'nm2671076', 'nm2671105', 'nm2671586', 'nm2672255', 'nm2672566', 'nm2673512', 'nm2674088', 'nm2674236', 'nm2674307', 'nm2674546', 'nm2675654', 'nm2676147', 'nm2676594', 'nm2677027', 'nm2677929', 'nm2678126', 'nm2679753', 'nm2679917', 'nm2680798', 'nm2680994', 'nm2681284', 'nm2683014', 'nm2684036', 'nm2684369', 'nm2685937', 'nm2686261', 'nm2686262', 'nm2687122', 'nm2687941', 'nm2690647', 'nm2691161', 'nm2692301', 'nm2692627', 'nm2693765', 'nm2694570', 'nm2698115', 'nm2699225', 'nm2699519', 'nm2700235', 'nm2700522', 'nm2702003', 'nm2703558', 'nm2703857', 'nm2704684', 'nm2706152', 'nm2709536', 'nm2709678', 'nm2710199', 'nm2711203', 'nm2712336', 'nm2713055', 'nm2714111', 'nm2714273', 'nm2714417', 'nm2715213', 'nm2715688', 'nm2715779', 'nm2717241', 'nm2717565', 'nm2718051', 'nm2718512', 'nm2719825', 'nm2720561', 'nm2720796', 'nm2720892', 'nm2722066', 'nm2722403', 'nm2722682', 'nm2724025', 'nm2725766', 'nm2726029', 'nm2726270', 'nm2726789', 'nm2726915', 'nm2727798', 'nm2727871', 'nm2728054', 'nm2730580', 'nm2731720', 'nm2731980', 'nm2732125', 'nm2732152', 'nm2736476', 'nm2739893', 'nm2739969', 'nm2740002', 'nm2741180', 'nm2742160', 'nm2742573', 'nm2742693', 'nm2743154', 'nm2743310', 'nm2744854', 'nm2745297', 'nm2745310', 'nm2745463', 'nm2746751', 'nm2747232', 'nm2748615', 'nm2749550', 'nm2752910', 'nm2752988', 'nm2754115', 'nm2754352', 'nm2754446', 'nm2754532', 'nm2756213', 'nm2756569', 'nm2757333', 'nm2757579', 'nm2757641', 'nm2759610', 'nm2759746', 'nm2760330', 'nm2760504', 'nm2761576', 'nm2761932', 'nm2762669', 'nm2764483', 'nm2764521', 'nm2765716', 'nm2766218', 'nm2767780', 'nm2767933', 'nm2769343', 'nm2769614', 'nm2770525', 'nm2771351', 'nm2771436', 'nm2771450', 'nm2771798', 'nm2772105', 'nm2772491', 'nm2773059', 'nm2773325', 'nm2775648', 'nm2775928', 'nm2776253', 'nm2776304', 'nm2777972', 'nm2778747', 'nm2778795', 'nm2779059', 'nm2780397', 'nm2780716', 'nm2780762', 'nm2782162', 'nm2785901', 'nm2786608', 'nm2788156', 'nm2788479', 'nm2789088', 'nm2790078', 'nm2791093', 'nm2793591', 'nm2794921', 'nm2794962', 'nm2795916', 'nm2796058', 'nm2796745', 'nm2797744', 'nm2797756', 'nm2798112', 'nm2799219', 'nm2799457', 'nm2801040', 'nm2801176', 'nm2801340', 'nm2803202', 'nm2803530', 'nm2803709', 'nm2804113', 'nm2804503', 'nm2805228', 'nm2805533', 'nm2805638', 'nm2805755', 'nm2806009', 'nm2807715', 'nm2807939', 'nm2809577', 'nm2809876', 'nm2810176', 'nm2810190', 'nm2810593', 'nm2811218', 'nm2811520', 'nm2811606', 'nm2811823', 'nm2812026', 'nm2813994', 'nm2815281', 'nm2815589', 'nm2816424', 'nm2817714', 'nm2820135', 'nm2821488', 'nm2822056', 'nm2823696', 'nm2825058', 'nm2826867', 'nm2827255', 'nm2827936', 'nm2828232', 'nm2828435', 'nm2832695', 'nm2832703', 'nm2832782', 'nm2833817', 'nm2835616', 'nm2835835', 'nm2837075', 'nm2837894', 'nm2838280', 'nm2838320', 'nm2838434', 'nm2838507', 'nm2840083', 'nm2840457', 'nm2842005', 'nm2842420', 'nm2842897', 'nm2842971', 'nm2843290', 'nm2843808', 'nm2845866', 'nm2851530', 'nm2851882', 'nm2852974', 'nm2854112', 'nm2854409', 'nm2854685', 'nm2855957', 'nm2858392', 'nm2858875', 'nm2859853', 'nm2860379', 'nm2860525', 'nm2861211', 'nm2861303', 'nm2861974', 'nm2862095', 'nm2863262', 'nm2863907', 'nm2864252', 'nm2864800', 'nm2865407', 'nm2865678', 'nm2866919', 'nm2867657', 'nm2869419', 'nm2872129', 'nm2872491', 'nm2873106', 'nm2873130', 'nm2873161', 'nm2873228', 'nm2874732', 'nm2876104', 'nm2877285', 'nm2877778', 'nm2877788', 'nm2878323', 'nm2878390', 'nm2878427', 'nm2878617', 'nm2882206', 'nm2882978', 'nm2884388', 'nm2885819', 'nm2888692', 'nm2889275', 'nm2890379', 'nm2890541', 'nm2891691', 'nm2892548', 'nm2893431', 'nm2893726', 'nm2894585', 'nm2894603', 'nm2894697', 'nm2894743', 'nm2895992', 'nm2897500', 'nm2898565', 'nm2899175', 'nm2899220', 'nm2899825', 'nm2900452', 'nm2901344', 'nm2901650', 'nm2901686', 'nm2902884', 'nm2904789', 'nm2907429', 'nm2908347', 'nm2908893', 'nm2909348', 'nm2910574', 'nm2910808', 'nm2913119', 'nm2913275', 'nm2913790', 'nm2914059', 'nm2915105', 'nm2916966', 'nm2917725', 'nm2917914', 'nm2918889', 'nm2919270', 'nm2919325', 'nm2920533', 'nm2920950', 'nm2921012', 'nm2921197', 'nm2922341', 'nm2922803', 'nm2923473', 'nm2923798', 'nm2926144', 'nm2926187', 'nm2926594', 'nm2926961', 'nm2928415', 'nm2929043', 'nm2929682', 'nm2930503', 'nm2931096', 'nm2931280', 'nm2931292', 'nm2931365', 'nm2931479', 'nm2931729', 'nm2931879', 'nm2931989', 'nm2932097', 'nm2932868', 'nm2933542', 'nm2933757', 'nm2934314', 'nm2934406', 'nm2935851', 'nm2936228', 'nm2936232', 'nm2937032', 'nm2937169', 'nm2938172', 'nm2939030', 'nm2939186', 'nm2939724', 'nm2939784', 'nm2941559', 'nm2942837', 'nm2943385', 'nm2943559', 'nm2944018', 'nm2944023', 'nm2944077', 'nm2944424', 'nm2944556', 'nm2944991', 'nm2946515', 'nm2946516', 'nm2946760', 'nm2946860', 'nm2947541', 'nm2949405', 'nm2950601', 'nm2951768', 'nm2952467', 'nm2953208', 'nm2953322', 'nm2953505', 'nm2953573', 'nm2954012', 'nm2954105', 'nm2954178', 'nm2955013', 'nm2955550', 'nm2955595', 'nm2955597', 'nm2955927', 'nm2956229', 'nm2956865', 'nm2956970', 'nm2957490', 'nm2957717', 'nm2958419', 'nm2958957', 'nm2960352', 'nm2961248', 'nm2962268', 'nm2962389', 'nm2963874', 'nm2963956', 'nm2964162', 'nm2964567', 'nm2964642', 'nm2964645', 'nm2964975', 'nm2965159', 'nm2965226', 'nm2966102', 'nm2966645', 'nm2966840', 'nm2967123', 'nm2967820', 'nm2968351', 'nm2968673', 'nm2968752', 'nm2968765', 'nm2969210', 'nm2969728', 'nm2970078', 'nm2970589', 'nm2971650', 'nm2971968', 'nm2973459', 'nm2973702', 'nm2973712', 'nm2973791', 'nm2973941', 'nm2974582', 'nm2975204', 'nm2975576', 'nm2975962', 'nm2976492', 'nm2976580', 'nm2976830', 'nm2976916', 'nm2977411', 'nm2977461', 'nm2977918', 'nm2978161', 'nm2979225', 'nm2979684', 'nm2980031', 'nm2980893', 'nm2981082', 'nm2981266', 'nm2981935', 'nm2983614', 'nm2984698', 'nm2985527', 'nm2985917', 'nm2987278', 'nm2987338', 'nm2987479', 'nm2987726', 'nm2989873', 'nm2991307', 'nm2992079', 'nm2992430', 'nm2993012', 'nm2993505', 'nm2993517', 'nm2993715', 'nm2993833', 'nm2995197', 'nm2995617', 'nm2996108', 'nm2997552', 'nm2997594', 'nm2998321', 'nm2998364', 'nm3002605', 'nm3002873', 'nm3004402', 'nm3005243', 'nm3005270', 'nm3005812', 'nm3005911', 'nm3006056', 'nm3006098', 'nm3006103', 'nm3006140', 'nm3006818', 'nm3007462', 'nm3007473', 'nm3008463', 'nm3008739', 'nm3009232', 'nm3010155', 'nm3010965', 'nm3011104', 'nm3011121', 'nm3011161', 'nm3011350', 'nm3011494', 'nm3011544', 'nm3011686', 'nm3012064', 'nm3014031', 'nm3014822', 'nm3014840', 'nm3014842', 'nm3014868', 'nm3014911', 'nm3015254', 'nm3015396', 'nm3015432', 'nm3015579', 'nm3015649', 'nm3015745', 'nm3015817', 'nm3015991', 'nm3016345', 'nm3016499', 'nm3016523', 'nm3016536', 'nm3016653', 'nm3016914', 'nm3017331', 'nm3018183', 'nm3018598', 'nm3021333', 'nm3022653', 'nm3023795', 'nm3024307', 'nm3024530', 'nm3025035', 'nm3025100', 'nm3025833', 'nm3026521', 'nm3028204', 'nm3028966', 'nm3029144', 'nm3029799', 'nm3030006', 'nm3030759', 'nm3031063', 'nm3031646', 'nm3032715', 'nm3033454', 'nm3033607', 'nm3034455', 'nm3034501', 'nm3034977', 'nm3034998', 'nm3035340', 'nm3035417', 'nm3035447', 'nm3035512', 'nm3035601', 'nm3035651', 'nm3036436', 'nm3036479', 'nm3036925', 'nm3037833', 'nm3037845', 'nm3037896', 'nm3037999', 'nm3038143', 'nm3041056', 'nm3041217', 'nm3041586', 'nm3041924', 'nm3042259', 'nm3042346', 'nm3042755', 'nm3042854', 'nm3043258', 'nm3043279', 'nm3046228', 'nm3046419', 'nm3046705', 'nm3048050', 'nm3049068', 'nm3049312', 'nm3049976', 'nm3050429', 'nm3050595', 'nm3052061', 'nm3053338', 'nm3054286', 'nm3055341', 'nm3056324', 'nm3056725', 'nm3057022', 'nm3057402', 'nm3060066', 'nm3062445', 'nm3062826', 'nm3063669', 'nm3065061', 'nm3065296', 'nm3065385', 'nm3065892', 'nm3067065', 'nm3067274', 'nm3067749', 'nm3068922', 'nm3069420', 'nm3069604', 'nm3069650', 'nm3069722', 'nm3070408', 'nm3071488', 'nm3072816', 'nm3075358', 'nm3075556', 'nm3075582', 'nm3075771', 'nm3076270', 'nm3076376', 'nm3076713', 'nm3077470', 'nm3078926', 'nm3078932', 'nm3079773', 'nm3079826', 'nm3079891', 'nm3080055', 'nm3080115', 'nm3080119', 'nm3080168', 'nm3081735', 'nm3081768', 'nm3081796', 'nm3082102', 'nm3083982', 'nm3086168', 'nm3086285', 'nm3086970', 'nm3087358', 'nm3088211', 'nm3088278', 'nm3088934', 'nm3089620', 'nm3089715', 'nm3091498', 'nm3091777', 'nm3092471', 'nm3093026', 'nm3093027', 'nm3093351', 'nm3093524', 'nm3093662', 'nm3093760', 'nm3094377', 'nm3094966', 'nm3095394', 'nm3096045', 'nm3096062', 'nm3096385', 'nm3096575', 'nm3099754', 'nm3100064', 'nm3100933', 'nm3101039', 'nm3101257', 'nm3101617', 'nm3102257', 'nm3102689', 'nm3102998', 'nm3103119', 'nm3103456', 'nm3105997', 'nm3106111', 'nm3107120', 'nm3107870', 'nm3109407', 'nm3109964', 'nm3111373', 'nm3113075', 'nm3113502', 'nm3113678', 'nm3113711', 'nm3114649', 'nm3115704', 'nm3115934', 'nm3117884', 'nm3117994', 'nm3118714', 'nm3118835', 'nm3119593', 'nm3120588', 'nm3120645', 'nm3120774', 'nm3121275', 'nm3121384', 'nm3121639', 'nm3122771', 'nm3122915', 'nm3123785', 'nm3124775', 'nm3126674', 'nm3126686', 'nm3130354', 'nm3130490', 'nm3130746', 'nm3132111', 'nm3132725', 'nm3132784', 'nm3133211', 'nm3133298', 'nm3138181', 'nm3138241', 'nm3140538', 'nm3140698', 'nm3141580', 'nm3142880', 'nm3142963', 'nm3143851', 'nm3144148', 'nm3144499', 'nm3145634', 'nm3145778', 'nm3146338', 'nm3147542', 'nm3147609', 'nm3147709', 'nm3147751', 'nm3147876', 'nm3147905', 'nm3148001', 'nm3148185', 'nm3148280', 'nm3148287', 'nm3148372', 'nm3148623', 'nm3149358', 'nm3150446', 'nm3150488', 'nm3152605', 'nm3154303', 'nm3154399', 'nm3154495', 'nm3155138', 'nm3156758', 'nm3160752', 'nm3160864', 'nm3162350', 'nm3162723', 'nm3163144', 'nm3164890', 'nm3165304', 'nm3165541', 'nm3166098', 'nm3166936', 'nm3167203', 'nm3167317', 'nm3167511', 'nm3167514', 'nm3168129', 'nm3168308', 'nm3169819', 'nm3169880', 'nm3170207', 'nm3170281', 'nm3170495', 'nm3173395', 'nm3173539', 'nm3174725', 'nm3174747', 'nm3174795', 'nm3176035', 'nm3177717', 'nm3178057', 'nm3178196', 'nm3180297', 'nm3181386', 'nm3182694', 'nm3185990', 'nm3187553', 'nm3188127', 'nm3188368', 'nm3190246', 'nm3190410', 'nm3190841', 'nm3191051', 'nm3194762', 'nm3194813', 'nm3197174', 'nm3197339', 'nm3197574', 'nm3197772', 'nm3198781', 'nm3198812', 'nm3199307', 'nm3200920', 'nm3201406', 'nm3201704', 'nm3202291', 'nm3202701', 'nm3203988', 'nm3206691', 'nm3207873', 'nm3208555', 'nm3209606', 'nm3209856', 'nm3210066', 'nm3210216', 'nm3210254', 'nm3210659', 'nm3211304', 'nm3212692', 'nm3212895', 'nm3213859', 'nm3214370', 'nm3214649', 'nm3216408', 'nm3217334', 'nm3218921', 'nm3220568', 'nm3220866', 'nm3221852', 'nm3222240', 'nm3223452', 'nm3223787', 'nm3224111', 'nm3224180', 'nm3224597', 'nm3225014', 'nm3225390', 'nm3226117', 'nm3226240', 'nm3226918', 'nm3227473', 'nm3228320', 'nm3228641', 'nm3229078', 'nm3229685', 'nm3231002', 'nm3231931', 'nm3232171', 'nm3232733', 'nm3233772', 'nm3234892', 'nm3235631', 'nm3236042', 'nm3236159', 'nm3236205', 'nm3236749', 'nm3237628', 'nm3237775', 'nm3237886', 'nm3239803', 'nm3240029', 'nm3240305', 'nm3241306', 'nm3241362', 'nm3241414', 'nm3241804', 'nm3242530', 'nm3242983', 'nm3244142', 'nm3244936', 'nm3245044', 'nm3245153', 'nm3245444', 'nm3245943', 'nm3246679', 'nm3246920', 'nm3250137', 'nm3251945', 'nm3253475', 'nm3253943', 'nm3253977', 'nm3254401', 'nm3255458', 'nm3255459', 'nm3255797', 'nm3256907', 'nm3257161', 'nm3259344', 'nm3259453', 'nm3259962', 'nm3260483', 'nm3262403', 'nm3262714', 'nm3262767', 'nm3263858', 'nm3264596', 'nm3270229', 'nm3270435', 'nm3270655', 'nm3271373', 'nm3271473', 'nm3272744', 'nm3274096', 'nm3275708', 'nm3276835', 'nm3276886', 'nm3277599', 'nm3278700', 'nm3280705', 'nm3281932', 'nm3283577', 'nm3285220', 'nm3285714', 'nm3287002', 'nm3287038', 'nm3287985', 'nm3288166', 'nm3288916', 'nm3289096', 'nm3289356', 'nm3290968', 'nm3291520', 'nm3291839', 'nm3294000', 'nm3294507', 'nm3294991', 'nm3295014', 'nm3295621', 'nm3295704', 'nm3295786', 'nm3296627', 'nm3297349', 'nm3299153', 'nm3299274', 'nm3299397', 'nm3299448', 'nm3299619', 'nm3301868', 'nm3303074', 'nm3304301', 'nm3304361', 'nm3304510', 'nm3304608', 'nm3304678', 'nm3305395', 'nm3305952', 'nm3306430', 'nm3306464', 'nm3306943', 'nm3307497', 'nm3307544', 'nm3307666', 'nm3307918', 'nm3308569', 'nm3309177', 'nm3309629', 'nm3310289', 'nm3312312', 'nm3312826', 'nm3313554', 'nm3314705', 'nm3314975', 'nm3315041', 'nm3315098', 'nm3315184', 'nm3315713', 'nm3315894', 'nm3315947', 'nm3316217', 'nm3316279', 'nm3316287', 'nm3316394', 'nm3316592', 'nm3316961', 'nm3317244', 'nm3317649', 'nm3317739', 'nm3319078', 'nm3320209', 'nm3321746', 'nm3323685', 'nm3325841', 'nm3326859', 'nm3331125', 'nm3331764', 'nm3332017', 'nm3332894', 'nm3333611', 'nm3334138', 'nm3335498', 'nm3337639', 'nm3338776', 'nm3340982', 'nm3342780', 'nm3342845', 'nm3343152', 'nm3343883', 'nm3344215', 'nm3344442', 'nm3344655', 'nm3345670', 'nm3345824', 'nm3345961', 'nm3348329', 'nm3349471', 'nm3351812', 'nm3352231', 'nm3352627', 'nm3352729', 'nm3353631', 'nm3353799', 'nm3354777', 'nm3354831', 'nm3354963', 'nm3355902', 'nm3356304', 'nm3358260', 'nm3358390', 'nm3359104', 'nm3360636', 'nm3361110', 'nm3362169', 'nm3363358', 'nm3366972', 'nm3367112', 'nm3367350', 'nm3367478', 'nm3368286', 'nm3368782', 'nm3368915', 'nm3368932', 'nm3370158', 'nm3370835', 'nm3373960', 'nm3374198', 'nm3376756', 'nm3377042', 'nm3377111', 'nm3378547', 'nm3379444', 'nm3380318', 'nm3381127', 'nm3381170', 'nm3381295', 'nm3382120', 'nm3382410', 'nm3383930', 'nm3383963', 'nm3386634', 'nm3388842', 'nm3389296', 'nm3389576', 'nm3390465', 'nm3391277', 'nm3391722', 'nm3392992', 'nm3393029', 'nm3393343', 'nm3393635', 'nm3393732', 'nm3394719', 'nm3395420', 'nm3395427', 'nm3396723', 'nm3397183', 'nm3397184', 'nm3397546', 'nm3398741', 'nm3398989', 'nm3399361', 'nm3400186', 'nm3400213', 'nm3401111', 'nm3401959', 'nm3403722', 'nm3403833', 'nm3404934', 'nm3405098', 'nm3406410', 'nm3407550', 'nm3408443', 'nm3409495', 'nm3409676', 'nm3410423', 'nm3410808', 'nm3411221', 'nm3411281', 'nm3411359', 'nm3411574', 'nm3412586', 'nm3413191', 'nm3413730', 'nm3414040', 'nm3414188', 'nm3414454', 'nm3415084', 'nm3416005', 'nm3416073', 'nm3417385', 'nm3419118', 'nm3419526', 'nm3419668', 'nm3420784', 'nm3422130', 'nm3422772', 'nm3423490', 'nm3432505', 'nm3432881', 'nm3433566', 'nm3433699', 'nm3433735', 'nm3433932', 'nm3434305', 'nm3434831', 'nm3435025', 'nm3435229', 'nm3435612', 'nm3435770', 'nm3437115', 'nm3437701', 'nm3437966', 'nm3441152', 'nm3441586', 'nm3442484', 'nm3444384', 'nm3445312', 'nm3449416', 'nm3450662', 'nm3453421', 'nm3454561', 'nm3454576', 'nm3455853', 'nm3457359', 'nm3457470', 'nm3459140', 'nm3460232', 'nm3460467', 'nm3460487', 'nm3461801', 'nm3462742', 'nm3464920', 'nm3466163', 'nm3466570', 'nm3467401', 'nm3467663', 'nm3467851', 'nm3471991', 'nm3472327', 'nm3472330', 'nm3472359', 'nm3473431', 'nm3473975', 'nm3473985', 'nm3474010', 'nm3474295', 'nm3474714', 'nm3477129', 'nm3477799', 'nm3477967', 'nm3478396', 'nm3479894', 'nm3480246', 'nm3480777', 'nm3482703', 'nm3482743', 'nm3482745', 'nm3482872', 'nm3482978', 'nm3483014', 'nm3483035', 'nm3483072', 'nm3483079', 'nm3483537', 'nm3484205', 'nm3485108', 'nm3485845', 'nm3487850', 'nm3488770', 'nm3490446', 'nm3491286', 'nm3492614', 'nm3495054', 'nm3495707', 'nm3495920', 'nm3498542', 'nm3498864', 'nm3499992', 'nm3500208', 'nm3500582', 'nm3500747', 'nm3502480', 'nm3503394', 'nm3504430', 'nm3505032', 'nm3507289', 'nm3509272', 'nm3510471', 'nm3512139', 'nm3512613', 'nm3512755', 'nm3512758', 'nm3513522', 'nm3513533', 'nm3514312', 'nm3514567', 'nm3514591', 'nm3514691', 'nm3514839', 'nm3515425', 'nm3516668', 'nm3517150', 'nm3518258', 'nm3518455', 'nm3518672', 'nm3518961', 'nm3521175', 'nm3522241', 'nm3523269', 'nm3524832', 'nm3526018', 'nm3526993', 'nm3527143', 'nm3528539', 'nm3528787', 'nm3528821', 'nm3530343', 'nm3531089', 'nm3532020', 'nm3533310', 'nm3534300', 'nm3535045', 'nm3535066', 'nm3537913', 'nm3538695', 'nm3538718', 'nm3538951', 'nm3538996', 'nm3539024', 'nm3539090', 'nm3539262', 'nm3540169', 'nm3542089', 'nm3547650', 'nm3549573', 'nm3551000', 'nm3552190', 'nm3552516', 'nm3553811', 'nm3554142', 'nm3554675', 'nm3554873', 'nm3556036', 'nm3557375', 'nm3558225', 'nm3559009', 'nm3559559', 'nm3564618', 'nm3566346', 'nm3568561', 'nm3569256', 'nm3569275', 'nm3569284', 'nm3569306', 'nm3570428', 'nm3571592', 'nm3572924', 'nm3573977', 'nm3575723', 'nm3576327', 'nm3577954', 'nm3578749', 'nm3580372', 'nm3580842', 'nm3581007', 'nm3583761', 'nm3584268', 'nm3584329', 'nm3584858', 'nm3585283', 'nm3585613', 'nm3585662', 'nm3585702', 'nm3586035', 'nm3586112', 'nm3586343', 'nm3586587', 'nm3586836', 'nm3587024', 'nm3587742', 'nm3587952', 'nm3588254', 'nm3589263', 'nm3589350', 'nm3590215', 'nm3590444', 'nm3590810', 'nm3591377', 'nm3592338', 'nm3593038', 'nm3593414', 'nm3593663', 'nm3594887', 'nm3594888', 'nm3594940', 'nm3596195', 'nm3596336', 'nm3596677', 'nm3596959', 'nm3597590', 'nm3597701', 'nm3598839', 'nm3599039', 'nm3599307', 'nm3600780', 'nm3600898', 'nm3601621', 'nm3601734', 'nm3601738', 'nm3602411', 'nm3606087', 'nm3606487', 'nm3606690', 'nm3609055', 'nm3609366', 'nm3609590', 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'nm3680716', 'nm3680865', 'nm3681548', 'nm3681809', 'nm3683989', 'nm3688576', 'nm3689403', 'nm3689511', 'nm3689528', 'nm3691392', 'nm3691431', 'nm3691558', 'nm3691738', 'nm3691746', 'nm3692348', 'nm3692419', 'nm3692524', 'nm3692726', 'nm3692801', 'nm3693092', 'nm3693887', 'nm3694737', 'nm3694924', 'nm3695502', 'nm3696644', 'nm3697443', 'nm3698261', 'nm3698746', 'nm3699464', 'nm3699706', 'nm3699772', 'nm3699938', 'nm3699960', 'nm3700767', 'nm3700779', 'nm3700979', 'nm3701064', 'nm3701137', 'nm3701176', 'nm3701406', 'nm3702080', 'nm3702737', 'nm3703273', 'nm3703855', 'nm3704237', 'nm3704547', 'nm3705238', 'nm3705371', 'nm3705380', 'nm3705549', 'nm3705648', 'nm3705886', 'nm3706798', 'nm3706888', 'nm3707003', 'nm3707033', 'nm3708457', 'nm3710022', 'nm3710695', 'nm3711178', 'nm3711871', 'nm3712662', 'nm3712863', 'nm3713756', 'nm3713819', 'nm3714658', 'nm3714801', 'nm3715867', 'nm3716653', 'nm3716925', 'nm3718007', 'nm3718514', 'nm3718593', 'nm3718826', 'nm3719356', 'nm3719424', 'nm3719749', 'nm3720130', 'nm3721047', 'nm3721366', 'nm3721584', 'nm3723133', 'nm3723229', 'nm3723375', 'nm3723980', 'nm3724097', 'nm3724220', 'nm3725055', 'nm3725226', 'nm3725393', 'nm3725457', 'nm3725592', 'nm3725849', 'nm3726570', 'nm3726608', 'nm3726887', 'nm3726941', 'nm3726948', 'nm3727008', 'nm3727025', 'nm3727194', 'nm3727229', 'nm3727242', 'nm3727323', 'nm3727364', 'nm3727552', 'nm3727784', 'nm3728129', 'nm3728183', 'nm3728294', 'nm3728363', 'nm3729225', 'nm3729612', 'nm3729673', 'nm3729721', 'nm3729806', 'nm3730200', 'nm3730253', 'nm3730330', 'nm3731362', 'nm3732165', 'nm3733660', 'nm3736172', 'nm3736776', 'nm3736993', 'nm3737209', 'nm3737392', 'nm3737514', 'nm3738359', 'nm3738640', 'nm3738748', 'nm3738763', 'nm3738785', 'nm3738919', 'nm3739013', 'nm3739244', 'nm3739336', 'nm3739851', 'nm3740284', 'nm3740415', 'nm3740794', 'nm3740813', 'nm3740899', 'nm3741124', 'nm3743115', 'nm3743173', 'nm3743379', 'nm3743407', 'nm3743408', 'nm3743419', 'nm3743427', 'nm3743537', 'nm3743596', 'nm3743617', 'nm3743630', 'nm3743674', 'nm3743782', 'nm3743891', 'nm3743900', 'nm3744068', 'nm3744272', 'nm3744328', 'nm3744420', 'nm3745391', 'nm3745446', 'nm3745543', 'nm3745630', 'nm3745666', 'nm3745929', 'nm3745958', 'nm3746163', 'nm3746219', 'nm3746222', 'nm3746620', 'nm3746838', 'nm3746857', 'nm3746863', 'nm3746954', 'nm3746980', 'nm3747110', 'nm3747202', 'nm3747259', 'nm3747282', 'nm3747611', 'nm3747694', 'nm3747979', 'nm3748060', 'nm3748325', 'nm3748536', 'nm3749036', 'nm3749687', 'nm3750186', 'nm3750252', 'nm3750581', 'nm3750688', 'nm3751338', 'nm3751352', 'nm3752170', 'nm3752295', 'nm3752928', 'nm3753115', 'nm3753393', 'nm3753420', 'nm3753495', 'nm3753554', 'nm3753866', 'nm3754140', 'nm3754234', 'nm3754278', 'nm3754352', 'nm3754473', 'nm3754545', 'nm3754556', 'nm3754792', 'nm3754869', 'nm3754892', 'nm3755026', 'nm3755732', 'nm3756197', 'nm3756266', 'nm3757043', 'nm3757129', 'nm3757910', 'nm3758065', 'nm3758734', 'nm3759049', 'nm3759107', 'nm3759348', 'nm3759786', 'nm3761004', 'nm3762213', 'nm3763200', 'nm3763260', 'nm3764562', 'nm3765596', 'nm3766189', 'nm3767823', 'nm3768173', 'nm3768300', 'nm3768305', 'nm3768462', 'nm3768471', 'nm3768511', 'nm3768644', 'nm3768663', 'nm3768855', 'nm3768870', 'nm3769061', 'nm3769166', 'nm3769206', 'nm3769453', 'nm3769624', 'nm3769799', 'nm3770334', 'nm3771184', 'nm3771539', 'nm3771980', 'nm3772038', 'nm3772058', 'nm3772243', 'nm3772375', 'nm3773200', 'nm3774004', 'nm3774006', 'nm3774108', 'nm3774682', 'nm3774740', 'nm3775233', 'nm3775423', 'nm3776167', 'nm3776270', 'nm3776378', 'nm3776425', 'nm3777101', 'nm3778901', 'nm3778930', 'nm3779182', 'nm3780555', 'nm3780600', 'nm3781076', 'nm3781277', 'nm3781419', 'nm3781640', 'nm3782167', 'nm3782372', 'nm3782429', 'nm3783238', 'nm3784243', 'nm3785357', 'nm3785377', 'nm3785505', 'nm3785783', 'nm3785834', 'nm3786065', 'nm3786153', 'nm3786286', 'nm3786287', 'nm3786296', 'nm3786311', 'nm3786371', 'nm3786427', 'nm3786474', 'nm3786479', 'nm3786499', 'nm3786892', 'nm3786924', 'nm3787097', 'nm3787101', 'nm3787102', 'nm3787675', 'nm3787686', 'nm3787759', 'nm3787808', 'nm3787951', 'nm3788049', 'nm3788271', 'nm3789039', 'nm3789072', 'nm3789139', 'nm3789242', 'nm3789343', 'nm3789450', 'nm3789645', 'nm3789679', 'nm3789693', 'nm3789806', 'nm3789814', 'nm3789895', 'nm3789914', 'nm3789951', 'nm3789989', 'nm3792864', 'nm3794060', 'nm3794287', 'nm3794550', 'nm3794986', 'nm3795769', 'nm3795810', 'nm3796133', 'nm3796147', 'nm3796267', 'nm3796344', 'nm3796359', 'nm3796440', 'nm3796542', 'nm3796629', 'nm3796933', 'nm3797076', 'nm3797160', 'nm3797191', 'nm3797192', 'nm3797278', 'nm3797302', 'nm3797352', 'nm3797370', 'nm3797434', 'nm3797554', 'nm3797561', 'nm3797592', 'nm3797600', 'nm3797610', 'nm3799210', 'nm3800780', 'nm3801676', 'nm3802039', 'nm3802082', 'nm3802732', 'nm3803138', 'nm3803535', 'nm3803666', 'nm3805043', 'nm3805519', 'nm3805992', 'nm3806097', 'nm3806499', 'nm3806612', 'nm3806917', 'nm3807582', 'nm3808844', 'nm3808875', 'nm3809543', 'nm3810208', 'nm3810473', 'nm3811380', 'nm3811421', 'nm3812343', 'nm3812814', 'nm3813840', 'nm3814041', 'nm3814107', 'nm3814473', 'nm3815162', 'nm3815288', 'nm3815604', 'nm3815800', 'nm3817431', 'nm3817466', 'nm3817520', 'nm3817612', 'nm3818246', 'nm3818525', 'nm3819806', 'nm3821405', 'nm3821527', 'nm3821620', 'nm3821742', 'nm3821782', 'nm3821826', 'nm3822000', 'nm3822030', 'nm3822462', 'nm3822586', 'nm3822770', 'nm3824241', 'nm3825063', 'nm3825106', 'nm3825294', 'nm3825461', 'nm3825631', 'nm3825851', 'nm3825855', 'nm3825915', 'nm3826581', 'nm3826683', 'nm3827087', 'nm3827211', 'nm3827455', 'nm3828254', 'nm3828984', 'nm3829955', 'nm3830421', 'nm3831867', 'nm3831873', 'nm3832158', 'nm3832635', 'nm3832726', 'nm3833056', 'nm3833084', 'nm3833856', 'nm3833897', 'nm3833945', 'nm3833963', 'nm3834378', 'nm3834792', 'nm3835303', 'nm3836635', 'nm3837694', 'nm3837735', 'nm3837786', 'nm3837944', 'nm3838034', 'nm3838127', 'nm3838884', 'nm3839332', 'nm3839572', 'nm3841091', 'nm3841179', 'nm3841447', 'nm3841486', 'nm3842427', 'nm3843144', 'nm3843467', 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'nm3875920', 'nm3876068', 'nm3876193', 'nm3876635', 'nm3876867', 'nm3876951', 'nm3877349', 'nm3877446', 'nm3877455', 'nm3877473', 'nm3877538', 'nm3877886', 'nm3880171', 'nm3880268', 'nm3880909', 'nm3881893', 'nm3882155', 'nm3882173', 'nm3882209', 'nm3882870', 'nm3882938', 'nm3883518', 'nm3883590', 'nm3883656', 'nm3886028', 'nm3886345', 'nm3886504', 'nm3886583', 'nm3887345', 'nm3887352', 'nm3887708', 'nm3888977', 'nm3889046', 'nm3889660', 'nm3889848', 'nm3890575', 'nm3890838', 'nm3890987', 'nm3891226', 'nm3892047', 'nm3892241', 'nm3892419', 'nm3892914', 'nm3893768', 'nm3894350', 'nm3896563', 'nm3898762', 'nm3902885', 'nm3905141', 'nm3905146', 'nm3905436', 'nm3906046', 'nm3906429', 'nm3911298', 'nm3911870', 'nm3912482', 'nm3912883', 'nm3915728', 'nm3915784', 'nm3916302', 'nm3916957', 'nm3918035', 'nm3918488', 'nm3920288', 'nm3920480', 'nm3921599', 'nm3922455', 'nm3924288', 'nm3924731', 'nm3924800', 'nm3929139', 'nm3929265', 'nm3929504', 'nm3929887', 'nm3931538', 'nm3932445', 'nm3932985', 'nm3933547', 'nm3933829', 'nm3934118', 'nm3934271', 'nm3935285', 'nm3937527', 'nm3939528', 'nm3941892', 'nm3941975', 'nm3942243', 'nm3942364', 'nm3942577', 'nm3943753', 'nm3943964', 'nm3944077', 'nm3944814', 'nm3947216', 'nm3948430', 'nm3948952', 'nm3951014', 'nm3956825', 'nm3957052', 'nm3958585', 'nm3958780', 'nm3960505', 'nm3960821', 'nm3961122', 'nm3961240', 'nm3961573', 'nm3964350', 'nm3964492', 'nm3964972', 'nm3966456', 'nm3966682', 'nm3967248', 'nm3968021', 'nm3968340', 'nm3968469', 'nm3969376', 'nm3970988', 'nm3972170', 'nm3972775', 'nm3973397', 'nm3974805', 'nm3977520', 'nm3979341', 'nm3979780', 'nm3979998', 'nm3980263', 'nm3980513', 'nm3980691', 'nm3981062', 'nm3981310', 'nm3985567', 'nm3985937', 'nm3987185', 'nm3987673', 'nm3987931', 'nm3988181', 'nm3988282', 'nm3990678', 'nm3993242', 'nm3994142', 'nm3994184', 'nm3994407', 'nm3994408', 'nm3995471', 'nm3996629', 'nm3998726', 'nm3999153', 'nm3999574', 'nm4002801', 'nm4003072', 'nm4003168', 'nm4003553', 'nm4003963', 'nm4004013', 'nm4004372', 'nm4004793', 'nm4005194', 'nm4006961', 'nm4007991', 'nm4008100', 'nm4008305', 'nm4008605', 'nm4008724', 'nm4010671', 'nm4013798', 'nm4014952', 'nm4016192', 'nm4020695', 'nm4021837', 'nm4022227', 'nm4023073', 'nm4025193', 'nm4025229', 'nm4025491', 'nm4026222', 'nm4026778', 'nm4026821', 'nm4027243', 'nm4027445', 'nm4028151', 'nm4030212', 'nm4030776', 'nm4032617', 'nm4033283', 'nm4033859', 'nm4033988', 'nm4035003', 'nm4037686', 'nm4039466', 'nm4041738', 'nm4041980', 'nm4042042', 'nm4042186', 'nm4042364', 'nm4042991', 'nm4043111', 'nm4043618', 'nm4044784', 'nm4045010', 'nm4045841', 'nm4046034', 'nm4050530', 'nm4051917', 'nm4055138', 'nm4055575', 'nm4055972', 'nm4056269', 'nm4057185', 'nm4057443', 'nm4058898', 'nm4059339', 'nm4061711', 'nm4062328', 'nm4064242', 'nm4064518', 'nm4068733', 'nm4068901', 'nm4070086', 'nm4073508', 'nm4075744', 'nm4077057', 'nm4078217', 'nm4080069', 'nm4081050', 'nm4081467', 'nm4081752', 'nm4081805', 'nm4082042', 'nm4082296', 'nm4083288', 'nm4086403', 'nm4088627', 'nm4089168', 'nm4089170', 'nm4090020', 'nm4090586', 'nm4091232', 'nm4093958', 'nm4095919', 'nm4096724', 'nm4097479', 'nm4098287', 'nm4099902', 'nm4100452', 'nm4101191', 'nm4101208', 'nm4102376', 'nm4103369', 'nm4104743', 'nm4104916', 'nm4105002', 'nm4105474', 'nm4107867', 'nm4108791', 'nm4110566', 'nm4110608', 'nm4110613', 'nm4110963', 'nm4111737', 'nm4111853', 'nm4111911', 'nm4112253', 'nm4112879', 'nm4113590', 'nm4113631', 'nm4114489', 'nm4114567', 'nm4114764', 'nm4115179', 'nm4116152', 'nm4116656', 'nm4120909', 'nm4121177', 'nm4121613', 'nm4122028', 'nm4122709', 'nm4123493', 'nm4123601', 'nm4124013', 'nm4125971', 'nm4128605', 'nm4129745', 'nm4131336', 'nm4131815', 'nm4134328', 'nm4136330', 'nm4137541', 'nm4139037', 'nm4139367', 'nm4141252', 'nm4141942', 'nm4142643', 'nm4143049', 'nm4143487', 'nm4143935', 'nm4144124', 'nm4144312', 'nm4145157', 'nm4147601', 'nm4148135', 'nm4148205', 'nm4148614', 'nm4149047', 'nm4150014', 'nm4150579', 'nm4150847', 'nm4150929', 'nm4151736', 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'nm4688572', 'nm4689420', 'nm4691386', 'nm4691837', 'nm4692102', 'nm4692551', 'nm4692570', 'nm4693136', 'nm4693198', 'nm4694226', 'nm4695054', 'nm4695837', 'nm4696508', 'nm4696674', 'nm4698909', 'nm4699715', 'nm4699879', 'nm4702575', 'nm4702646', 'nm4702698', 'nm4704551', 'nm4704877', 'nm4704907', 'nm4705273', 'nm4705397', 'nm4705525', 'nm4705535', 'nm4705966', 'nm4706372', 'nm4710099', 'nm4710294', 'nm4710376', 'nm4710714', 'nm4711985', 'nm4712028', 'nm4712111', 'nm4712542', 'nm4713909', 'nm4713993', 'nm4714014', 'nm4714676', 'nm4715463', 'nm4719349', 'nm4721247', 'nm4722966', 'nm4723712', 'nm4724329', 'nm4724571', 'nm4724700', 'nm4725090', 'nm4725183', 'nm4725309', 'nm4726197', 'nm4726379', 'nm4726429', 'nm4726456', 'nm4726478', 'nm4726634', 'nm4726704', 'nm4726705', 'nm4726706', 'nm4726726', 'nm4726737', 'nm4726911', 'nm4726924', 'nm4726934', 'nm4727027', 'nm4727057', 'nm4728277', 'nm4728487', 'nm4729403', 'nm4729939', 'nm4731139', 'nm4731677', 'nm4731835', 'nm4733655', 'nm4733752', 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'nm4812290', 'nm4812613', 'nm4813523', 'nm4814292', 'nm4815023', 'nm4818678', 'nm4819306', 'nm4819326', 'nm4819541', 'nm4821030', 'nm4823151', 'nm4823334', 'nm4825178', 'nm4830183', 'nm4834100', 'nm4834815', 'nm4835245', 'nm4835867', 'nm4836100', 'nm4836118', 'nm4836232', 'nm4836770', 'nm4836827', 'nm4836961', 'nm4837925', 'nm4838291', 'nm4838493', 'nm4839521', 'nm4840961', 'nm4842089', 'nm4842108', 'nm4842197', 'nm4842779', 'nm4843279', 'nm4843454', 'nm4843686', 'nm4844496', 'nm4845366', 'nm4845927', 'nm4847060', 'nm4848302', 'nm4851020', 'nm4851894', 'nm4852033', 'nm4852549', 'nm4853066', 'nm4853738', 'nm4855119', 'nm4855147', 'nm4855517', 'nm4856545', 'nm4857103', 'nm4857862', 'nm4858000', 'nm4858403', 'nm4860037', 'nm4861346', 'nm4862056', 'nm4863166', 'nm4867258', 'nm4868175', 'nm4868648', 'nm4869521', 'nm4870360', 'nm4872352', 'nm4874651', 'nm4875226', 'nm4875310', 'nm4875362', 'nm4875522', 'nm4876129', 'nm4876591', 'nm4877001', 'nm4877882', 'nm4878976', 'nm4880405', 'nm4880812', 'nm4881653', 'nm4881749', 'nm4881751', 'nm4883026', 'nm4883135', 'nm4883197', 'nm4885790', 'nm4886661', 'nm4886884', 'nm4887746', 'nm4888033', 'nm4888094', 'nm4888313', 'nm4889121', 'nm4889211', 'nm4889489', 'nm4889740', 'nm4890236', 'nm4892326', 'nm4893889', 'nm4895924', 'nm4897370', 'nm4897618', 'nm4899747', 'nm4901244', 'nm4901352', 'nm4901642', 'nm4902724', 'nm4904177', 'nm4904601', 'nm4905066', 'nm4907202', 'nm4907722', 'nm4907745', 'nm4908219', 'nm4908999', 'nm4911194', 'nm4912257', 'nm4912321', 'nm4913580', 'nm4914253', 'nm4915252', 'nm4915994', 'nm4917074', 'nm4917285', 'nm4917623', 'nm4917921', 'nm4920382', 'nm4921260', 'nm4924427', 'nm4925984', 'nm4926180', 'nm4927095', 'nm4928488', 'nm4928680', 'nm4929000', 'nm4929314', 'nm4929530', 'nm4929958', 'nm4930706', 'nm4930733', 'nm4930736', 'nm4930863', 'nm4931044', 'nm4931261', 'nm4931406', 'nm4931752', 'nm4932944', 'nm4933181', 'nm4933438', 'nm4934295', 'nm4937591', 'nm4938228', 'nm4940278', 'nm4941145', 'nm4941993', 'nm4944432', 'nm4944775', 'nm4944824', 'nm4944898', 'nm4946445', 'nm4946490', 'nm4946636', 'nm4947538', 'nm4947909', 'nm4948018', 'nm4948107', 'nm4948556', 'nm4950057', 'nm4951025', 'nm4956887', 'nm4957233', 'nm4958040', 'nm4959053', 'nm4959077', 'nm4959522', 'nm4959840', 'nm4960279', 'nm4961461', 'nm4962278', 'nm4965045', 'nm4968500', 'nm4968973', 'nm4970834', 'nm4972453', 'nm4973460', 'nm4973896', 'nm4975337', 'nm4976136', 'nm4976824', 'nm4977122', 'nm4977154', 'nm4978827', 'nm4978922', 'nm4979002', 'nm4981315', 'nm4981388', 'nm4983186', 'nm4986118', 'nm4986852', 'nm4986946', 'nm4987061', 'nm4987678', 'nm4989658', 'nm4990643', 'nm4992200', 'nm4996082', 'nm4997543', 'nm4998869', 'nm4999500', 'nm5000693', 'nm5001016', 'nm5003252', 'nm5004366', 'nm5005121', 'nm5005426', 'nm5006273', 'nm5007177', 'nm5007768', 'nm5008316', 'nm5008318', 'nm5008360', 'nm5008863', 'nm5010332', 'nm5011084', 'nm5012884', 'nm5013381', 'nm5014245', 'nm5015107', 'nm5016840', 'nm5016878', 'nm5017466', 'nm5018289', 'nm5019585', 'nm5020912', 'nm5022306', 'nm5024962', 'nm5025494', 'nm5028271', 'nm5028456', 'nm5029810', 'nm5030104', 'nm5030941', 'nm5031006', 'nm5031993', 'nm5032208', 'nm5033444', 'nm5035471', 'nm5036214', 'nm5036289', 'nm5037958', 'nm5038695', 'nm5038748', 'nm5038871', 'nm5038957', 'nm5039026', 'nm5040343', 'nm5040514', 'nm5041765', 'nm5043743', 'nm5045573', 'nm5046045', 'nm5046593', 'nm5046650', 'nm5047005', 'nm5047164', 'nm5047567', 'nm5047680', 'nm5050435', 'nm5050688', 'nm5050883', 'nm5052065', 'nm5054883', 'nm5056301', 'nm5057169', 'nm5057757', 'nm5058383', 'nm5059164', 'nm5060159', 'nm5061479', 'nm5063143', 'nm5063513', 'nm5063969', 'nm5064138', 'nm5064490', 'nm5065920', 'nm5066708', 'nm5067473', 'nm5067620', 'nm5067634', 'nm5067849', 'nm5069465', 'nm5071827', 'nm5072010', 'nm5072835', 'nm5073574', 'nm5074930', 'nm5076257', 'nm5076959', 'nm5077317', 'nm5077458', 'nm5077687', 'nm5078316', 'nm5078321', 'nm5078893', 'nm5079078', 'nm5079783', 'nm5080880', 'nm5081483', 'nm5081891', 'nm5083566', 'nm5085045', 'nm5085683', 'nm5086434', 'nm5086809', 'nm5088245', 'nm5089014', 'nm5090093', 'nm5090616', 'nm5091597', 'nm5092263', 'nm5092643', 'nm5093301', 'nm5093708', 'nm5093888', 'nm5095214', 'nm5096105', 'nm5096234', 'nm5097044', 'nm5098656', 'nm5099218', 'nm5100267', 'nm5100278', 'nm5100291', 'nm5101259', 'nm5101419', 'nm5102227', 'nm5104297', 'nm5105099', 'nm5105990', 'nm5106831', 'nm5109860', 'nm5110174', 'nm5112847', 'nm5113706', 'nm5114849', 'nm5117626', 'nm5120012', 'nm5120794', 'nm5121418', 'nm5122260', 'nm5122748', 'nm5123156', 'nm5125871', 'nm5126854', 'nm5127250', 'nm5129212', 'nm5131141', 'nm5131296', 'nm5133511', 'nm5136616', 'nm5136971', 'nm5137054', 'nm5137121', 'nm5137305', 'nm5138568', 'nm5140869', 'nm5141621', 'nm5142429', 'nm5142507', 'nm5142845', 'nm5143033', 'nm5144187', 'nm5144394', 'nm5144873', 'nm5145057', 'nm5145387', 'nm5145655', 'nm5146515', 'nm5148840', 'nm5149188', 'nm5151022', 'nm5151089', 'nm5152998', 'nm5153308', 'nm5155952', 'nm5156276', 'nm5157587', 'nm5158927', 'nm5159788', 'nm5159790', 'nm5161099', 'nm5162661', 'nm5164937', 'nm5166292', 'nm5166444', 'nm5168876', 'nm5173222', 'nm5174055', 'nm5178424', 'nm5180933', 'nm5181138', 'nm5182750', 'nm5183859', 'nm5184025', 'nm5184294', 'nm5189784', 'nm5190368', 'nm5190755', 'nm5192886', 'nm5193520', 'nm5193937', 'nm5194813', 'nm5195145', 'nm5196907', 'nm5198467', 'nm5198603', 'nm5199313', 'nm5199742', 'nm5200142', 'nm5200438', 'nm5200476', 'nm5201082', 'nm5201800', 'nm5203548', 'nm5203696', 'nm5203731', 'nm5204895', 'nm5207843', 'nm5208438', 'nm5210449', 'nm5211370', 'nm5211581', 'nm5213100', 'nm5214713', 'nm5214744', 'nm5216592', 'nm5217536', 'nm5218311', 'nm5218990', 'nm5219130', 'nm5219139', 'nm5221906', 'nm5223280', 'nm5224236', 'nm5224876', 'nm5225489', 'nm5225889', 'nm5226616', 'nm5228887', 'nm5228901', 'nm5229490', 'nm5230317', 'nm5231168', 'nm5231220', 'nm5231545', 'nm5232139', 'nm5232400', 'nm5233833', 'nm5237479', 'nm5238331', 'nm5240742', 'nm5241260', 'nm5245628', 'nm5245722', 'nm5247820', 'nm5247993', 'nm5248156', 'nm5248190', 'nm5248298', 'nm5249562', 'nm5249687', 'nm5249795', 'nm5250251', 'nm5250567', 'nm5251583', 'nm5251703', 'nm5252352', 'nm5253723', 'nm5254357', 'nm5256226', 'nm5256328', 'nm5256984', 'nm5257008', 'nm5257212', 'nm5257564', 'nm5260295', 'nm5262151', 'nm5262700', 'nm5262775', 'nm5263035', 'nm5264241', 'nm5264245', 'nm5267243', 'nm5267438', 'nm5268420', 'nm5268544', 'nm5268944', 'nm5271953', 'nm5274475', 'nm5275589', 'nm5275869', 'nm5278391', 'nm5281151', 'nm5282266', 'nm5283536', 'nm5284673', 'nm5285214', 'nm5286088', 'nm5288212', 'nm5288324', 'nm5288835', 'nm5289372', 'nm5289658', 'nm5290643', 'nm5290706', 'nm5290852', 'nm5291059', 'nm5291274', 'nm5291578', 'nm5292621', 'nm5293255', 'nm5293307', 'nm5293313', 'nm5293380', 'nm5295511', 'nm5295795', 'nm5296909', 'nm5297183', 'nm5298570', 'nm5301405', 'nm5305484', 'nm5305557', 'nm5305841', 'nm5305981', 'nm5306499', 'nm5307044', 'nm5307635', 'nm5309085', 'nm5310225', 'nm5311765', 'nm5312353', 'nm5312533', 'nm5312975', 'nm5313272', 'nm5314645', 'nm5315479', 'nm5315559', 'nm5318271', 'nm5318871', 'nm5319567', 'nm5320024', 'nm5320651', 'nm5320755', 'nm5324476', 'nm5325480', 'nm5325806', 'nm5326047', 'nm5327954', 'nm5328264', 'nm5328568', 'nm5330860', 'nm5331335', 'nm5333242', 'nm5333701', 'nm5335029', 'nm5336712', 'nm5337106', 'nm5339108', 'nm5339531', 'nm5339544', 'nm5340409', 'nm5343317', 'nm5345347', 'nm5346530', 'nm5347629', 'nm5347988', 'nm5348839', 'nm5350295', 'nm5351796', 'nm5352820', 'nm5353321', 'nm5354037', 'nm5354138', 'nm5355876', 'nm5357038', 'nm5358531', 'nm5358567', 'nm5358777', 'nm5361352', 'nm5361962', 'nm5362228', 'nm5362711', 'nm5362984', 'nm5364484', 'nm5364609', 'nm5366786', 'nm5371234', 'nm5371255', 'nm5372197', 'nm5372988', 'nm5374197', 'nm5374281', 'nm5374389', 'nm5374530', 'nm5374713', 'nm5374766', 'nm5374780', 'nm5374796', 'nm5374979', 'nm5375105', 'nm5376582', 'nm5377144', 'nm5377410', 'nm5378179', 'nm5378218', 'nm5378235', 'nm5378701', 'nm5379183', 'nm5379265', 'nm5379883', 'nm5380206', 'nm5381254', 'nm5384000', 'nm5384458', 'nm5384740', 'nm5385972', 'nm5390392', 'nm5391599', 'nm5391923', 'nm5392272', 'nm5394081', 'nm5394181', 'nm5394291', 'nm5394936', 'nm5396086', 'nm5396422', 'nm5397057', 'nm5397122', 'nm5397459', 'nm5397498', 'nm5399915', 'nm5400256', 'nm5400528', 'nm5400953', 'nm5401125', 'nm5402489', 'nm5404822', 'nm5404830', 'nm5407472', 'nm5408115', 'nm5408141', 'nm5408984', 'nm5409151', 'nm5413648', 'nm5414737', 'nm5415208', 'nm5415981', 'nm5417109', 'nm5417412', 'nm5419548', 'nm5421877', 'nm5422709', 'nm5423496', 'nm5424487', 'nm5426973', 'nm5427601', 'nm5428324', 'nm5428349', 'nm5428819', 'nm5429505', 'nm5430058', 'nm5433532', 'nm5433623', 'nm5433872', 'nm5434913', 'nm5435135', 'nm5436736', 'nm5439221', 'nm5439883', 'nm5440348', 'nm5441346', 'nm5442794', 'nm5443254', 'nm5444837', 'nm5445673', 'nm5446508', 'nm5447592', 'nm5447706', 'nm5450413', 'nm5451410', 'nm5455411', 'nm5457207', 'nm5457323', 'nm5459004', 'nm5460346', 'nm5461888', 'nm5462040', 'nm5462983', 'nm5463002', 'nm5467533', 'nm5468872', 'nm5469396', 'nm5470203', 'nm5470717', 'nm5471534', 'nm5471670', 'nm5473782', 'nm5473880', 'nm5474355', 'nm5475514', 'nm5477626', 'nm5478558', 'nm5478777', 'nm5479345', 'nm5480083', 'nm5480894', 'nm5481039', 'nm5482227', 'nm5483400', 'nm5484794', 'nm5485335', 'nm5485542', 'nm5485883', 'nm5485986', 'nm5489304', 'nm5490566', 'nm5490904', 'nm5491486', 'nm5491578', 'nm5491788', 'nm5493512', 'nm5493937', 'nm5494407', 'nm5494993', 'nm5495383', 'nm5497358', 'nm5497740', 'nm5499134', 'nm5499979', 'nm5503448', 'nm5505340', 'nm5505643', 'nm5505923', 'nm5506401', 'nm5506858', 'nm5508728', 'nm5508950', 'nm5509170', 'nm5509381', 'nm5511218', 'nm5514372', 'nm5515486', 'nm5516247', 'nm5516873', 'nm5517084', 'nm5517248', 'nm5517526', 'nm5518972', 'nm5519694', 'nm5520432', 'nm5520750', 'nm5521385', 'nm5524273', 'nm5526172', 'nm5526180', 'nm5526214', 'nm5526245', 'nm5526251', 'nm5526263', 'nm5526280', 'nm5526298', 'nm5526330', 'nm5527633', 'nm5527841', 'nm5529391', 'nm5530440', 'nm5531398', 'nm5531439', 'nm5533389', 'nm5533830', 'nm5538052', 'nm5538935', 'nm5541398', 'nm5541630', 'nm5545310', 'nm5547931', 'nm5548132', 'nm5553036', 'nm5553176', 'nm5553521', 'nm5555747', 'nm5556349', 'nm5557379', 'nm5560412', 'nm5564323', 'nm5565766', 'nm5566857', 'nm5567662', 'nm5567710', 'nm5569290', 'nm5569442', 'nm5570010', 'nm5570041', 'nm5570560', 'nm5572065', 'nm5579123', 'nm5579681', 'nm5579944', 'nm5580237', 'nm5581752', 'nm5581881', 'nm5582078', 'nm5582294', 'nm5582892', 'nm5583805', 'nm5584344', 'nm5584702', 'nm5584750', 'nm5584853', 'nm5585713', 'nm5586611', 'nm5586767', 'nm5586991', 'nm5588182', 'nm5588882', 'nm5589490', 'nm5589690', 'nm5590588', 'nm5592993', 'nm5596197', 'nm5597444', 'nm5597876', 'nm5597884', 'nm5598392', 'nm5598573', 'nm5601350', 'nm5601548', 'nm5601857', 'nm5601908', 'nm5602480', 'nm5604130', 'nm5604324', 'nm5604472', 'nm5604932', 'nm5605559', 'nm5605631', 'nm5607334', 'nm5607349', 'nm5607400', 'nm5610419', 'nm5611121', 'nm5615675', 'nm5615969', 'nm5617665', 'nm5618931', 'nm5619260', 'nm5619620', 'nm5619726', 'nm5620088', 'nm5620173', 'nm5620468', 'nm5620654', 'nm5620869', 'nm5623512', 'nm5623883', 'nm5625020', 'nm5626435', 'nm5626898', 'nm5627194', 'nm5630072', 'nm5633154', 'nm5634768', 'nm5637317', 'nm5637553', 'nm5639151', 'nm5640132', 'nm5640595', 'nm5640720', 'nm5640824', 'nm5640962', 'nm5642103', 'nm5643054', 'nm5643878', 'nm5645519', 'nm5647963', 'nm5648231', 'nm5650069', 'nm5651079', 'nm5652167', 'nm5652562', 'nm5652747', 'nm5653665', 'nm5654277', 'nm5656650', 'nm5656858', 'nm5656922', 'nm5657068', 'nm5659346', 'nm5659554', 'nm5662246', 'nm5662583', 'nm5663632', 'nm5665571', 'nm5667377', 'nm5667822', 'nm5668288', 'nm5668344', 'nm5668362', 'nm5668391', 'nm5668525', 'nm5668548', 'nm5670271', 'nm5673028', 'nm5674012', 'nm5675066', 'nm5675446', 'nm5675978', 'nm5676138', 'nm5677495', 'nm5678382', 'nm5678874', 'nm5680859', 'nm5681967', 'nm5682314', 'nm5682738', 'nm5684682', 'nm5684796', 'nm5687735', 'nm5687987', 'nm5688233', 'nm5689081', 'nm5689101', 'nm5689660', 'nm5690165', 'nm5693918', 'nm5694881', 'nm5696207', 'nm5696600', 'nm5696916', 'nm5700047', 'nm5700881', 'nm5700979', 'nm5702375', 'nm5702668', 'nm5703727', 'nm5704284', 'nm5706089', 'nm5708841', 'nm5709125', 'nm5709507', 'nm5710414', 'nm5711282', 'nm5712133', 'nm5716139', 'nm5716268', 'nm5720481', 'nm5722585', 'nm5723091', 'nm5723666', 'nm5723673', 'nm5723919', 'nm5724719', 'nm5725655', 'nm5725935', 'nm5729706', 'nm5730649', 'nm5731441', 'nm5731748', 'nm5732348', 'nm5732707', 'nm5735148', 'nm5735886', 'nm5738534', 'nm5741284', 'nm5743469', 'nm5743470', 'nm5743936', 'nm5744538', 'nm5744645', 'nm5744729', 'nm5752523', 'nm5752734', 'nm5754288', 'nm5756025', 'nm5756214', 'nm5756906', 'nm5758138', 'nm5764662', 'nm5766106', 'nm5766822', 'nm5767201', 'nm5768227', 'nm5768579', 'nm5769758', 'nm5776245', 'nm5777565', 'nm5777955', 'nm5779236', 'nm5779249', 'nm5783517', 'nm5787162', 'nm5787385', 'nm5787387', 'nm5787710', 'nm5788570', 'nm5792208', 'nm5795152', 'nm5795508', 'nm5795531', 'nm5795711', 'nm5795728', 'nm5797869', 'nm5799590', 'nm5799662', 'nm5799738', 'nm5800711', 'nm5801924', 'nm5803981', 'nm5804925', 'nm5805017', 'nm5805648', 'nm5809259', 'nm5810757', 'nm5813257', 'nm5813319', 'nm5816818', 'nm5817249', 'nm5818708', 'nm5824400', 'nm5825278', 'nm5826566', 'nm5828184', 'nm5828411', 'nm5831542', 'nm5831543', 'nm5832728', 'nm5834859', 'nm5834946', 'nm5835483', 'nm5835484', 'nm5836504', 'nm5837027', 'nm5838306', 'nm5838611', 'nm5841886', 'nm5842180', 'nm5844583', 'nm5844584', 'nm5845865', 'nm5847997', 'nm5849113', 'nm5849230', 'nm5849541', 'nm5851109', 'nm5851647', 'nm5851871', 'nm5853945', 'nm5854165', 'nm5856231', 'nm5856501', 'nm5857152', 'nm5860022', 'nm5860325', 'nm5860326', 'nm5862455', 'nm5862496', 'nm5864710', 'nm5864806', 'nm5866448', 'nm5866935', 'nm5874950', 'nm5876893', 'nm5877764', 'nm5877765', 'nm5877767', 'nm5878339', 'nm5879880', 'nm5880021', 'nm5886504', 'nm5887256', 'nm5887257', 'nm5887272', 'nm5888481', 'nm5889290', 'nm5891230', 'nm5891598', 'nm5896355', 'nm5897057', 'nm5899132', 'nm5899377', 'nm5899942', 'nm5900671', 'nm5900682', 'nm5900684', 'nm5900759', 'nm5901827', 'nm5901828', 'nm5901829', 'nm5903104', 'nm5903106', 'nm5907682', 'nm5913863', 'nm5917579', 'nm5919133', 'nm5920962', 'nm5921534', 'nm5923796', 'nm5928359', 'nm5928378', 'nm5928394', 'nm5929426', 'nm5929959', 'nm5935017', 'nm5937517', 'nm5939164', 'nm5943917', 'nm5946075', 'nm5946079', 'nm5947080', 'nm5947149', 'nm5947217', 'nm5947689', 'nm5947787', 'nm5947788', 'nm5947964', 'nm5948041', 'nm5951068', 'nm5951506', 'nm5952124', 'nm5953203', 'nm5954280', 'nm5955951', 'nm5956260', 'nm5956436', 'nm5956547', 'nm5958563', 'nm5959033', 'nm5960947', 'nm5961236', 'nm5962619', 'nm5963099', 'nm5963347', 'nm5964365', 'nm5964397', 'nm5964931', 'nm5964948', 'nm5965694', 'nm5966533', 'nm5969653', 'nm5970380', 'nm5970395', 'nm5970409', 'nm5970418', 'nm5970432', 'nm5970451', 'nm5972443', 'nm5972800', 'nm5974965', 'nm5977770', 'nm5979067', 'nm5979068', 'nm5982203', 'nm5983122', 'nm5983542', 'nm5988570', 'nm5988790', 'nm5990147', 'nm5990229', 'nm5993409', 'nm5993410', 'nm5993451', 'nm5993454', 'nm5993463', 'nm5993464', 'nm5994128', 'nm5994557', 'nm5994881', 'nm5995132', 'nm5998382', 'nm5999323', 'nm5999730', 'nm6000376', 'nm6001320', 'nm6001718', 'nm6002170', 'nm6003243', 'nm6003244', 'nm6003807', 'nm6003834', 'nm6004385', 'nm6006903', 'nm6007051', 'nm6007240', 'nm6007949', 'nm6008760', 'nm6008761', 'nm6008762', 'nm6010006', 'nm6011243', 'nm6012811', 'nm6015235', 'nm6016124', 'nm6016511', 'nm6017002', 'nm6018082', 'nm6018656', 'nm6018937', 'nm6019117', 'nm6019545', 'nm6019624', 'nm6020024', 'nm6020339', 'nm6020421', 'nm6021507', 'nm6024219', 'nm6026529', 'nm6026551', 'nm6027558', 'nm6027646', 'nm6027947', 'nm6029320', 'nm6029322', 'nm6030704', 'nm6031412', 'nm6031859', 'nm6033507', 'nm6034289', 'nm6035288', 'nm6037256', 'nm6038328', 'nm6039425', 'nm6039967', 'nm6041952', 'nm6044719', 'nm6046412', 'nm6047568', 'nm6050501', 'nm6051155', 'nm6057088', 'nm6057090', 'nm6057091', 'nm6057508', 'nm6062424', 'nm6065138', 'nm6066992', 'nm6067524', 'nm6068783', 'nm6068870', 'nm6069517', 'nm6072942', 'nm6073955', 'nm6076229', 'nm6076950', 'nm6077056', 'nm6077431', 'nm6077587', 'nm6077951', 'nm6079248', 'nm6081322', 'nm6082617', 'nm6083596', 'nm6085272', 'nm6086160', 'nm6087840', 'nm6090209', 'nm6092936', 'nm6094042', 'nm6094043', 'nm6094044', 'nm6094560', 'nm6095823', 'nm6095977', 'nm6095978', 'nm6096118', 'nm6096518', 'nm6097695', 'nm6097979', 'nm6098361', 'nm6099602', 'nm6100047', 'nm6100537', 'nm6101703', 'nm6106206', 'nm6106360', 'nm6106368', 'nm6106517', 'nm6106791', 'nm6107875', 'nm6108068', 'nm6108189', 'nm6109495', 'nm6109666', 'nm6111186', 'nm6111363', 'nm6111443', 'nm6111444', 'nm6112124', 'nm6112821', 'nm6113836', 'nm6114283', 'nm6114284', 'nm6115032', 'nm6116220', 'nm6117651', 'nm6119056', 'nm6119140', 'nm6122710', 'nm6124994', 'nm6125478', 'nm6126186', 'nm6126875', 'nm6126876', 'nm6127891', 'nm6129779', 'nm6134013', 'nm6134379', 'nm6134380', 'nm6134388', 'nm6134671', 'nm6134773', 'nm6135008', 'nm6136445', 'nm6139395', 'nm6141037', 'nm6142895', 'nm6143475', 'nm6143952', 'nm6145839', 'nm6147197', 'nm6147198', 'nm6147743', 'nm6148421', 'nm6148864', 'nm6150845', 'nm6151553', 'nm6151574', 'nm6151627', 'nm6152236', 'nm6154708', 'nm6154711', 'nm6157325', 'nm6157473', 'nm6160361', 'nm6160694', 'nm6161516', 'nm6162909', 'nm6163035', 'nm6165043', 'nm6166940', 'nm6168486', 'nm6169000', 'nm6170168', 'nm6170426', 'nm6171050', 'nm6171194', 'nm6172240', 'nm6174253', 'nm6175469', 'nm6177331', 'nm6177865', 'nm6178538', 'nm6181708', 'nm6183410', 'nm6186391', 'nm6186725', 'nm6188280', 'nm6189519', 'nm6190770', 'nm6191250', 'nm6191521', 'nm6191599', 'nm6192087', 'nm6192439', 'nm6194955', 'nm6195447', 'nm6195774', 'nm6196810', 'nm6197482', 'nm6200388', 'nm6201454', 'nm6203018', 'nm6205098', 'nm6205739', 'nm6206617', 'nm6208299', 'nm6209605', 'nm6211519', 'nm6213382', 'nm6215441', 'nm6216001', 'nm6217576', 'nm6220945', 'nm6221377', 'nm6221606', 'nm6221610', 'nm6222172', 'nm6223574', 'nm6224152', 'nm6229011', 'nm6229968', 'nm6231409', 'nm6232219', 'nm6232759', 'nm6234427', 'nm6236783', 'nm6236953', 'nm6237346', 'nm6237589', 'nm6240141', 'nm6241736', 'nm6244013', 'nm6247071', 'nm6248528', 'nm6249348', 'nm6249492', 'nm6252680', 'nm6257101', 'nm6257719', 'nm6259860', 'nm6260001', 'nm6260229', 'nm6261003', 'nm6261995', 'nm6262415', 'nm6262665', 'nm6263733', 'nm6265510', 'nm6266674', 'nm6268308', 'nm6269125', 'nm6269395', 'nm6269780', 'nm6269809', 'nm6273024', 'nm6274326', 'nm6276004', 'nm6276059', 'nm6276103', 'nm6276382', 'nm6276389', 'nm6277267', 'nm6279069', 'nm6280477', 'nm6281424', 'nm6282108', 'nm6284745', 'nm6288581', 'nm6289052', 'nm6289362', 'nm6289418', 'nm6292810', 'nm6293193', 'nm6293685', 'nm6295217', 'nm6296438', 'nm6298644', 'nm6299248', 'nm6303700', 'nm6304242', 'nm6311645', 'nm6311728', 'nm6311824', 'nm6311825', 'nm6312506', 'nm6314802', 'nm6317971', 'nm6320366', 'nm6320498', 'nm6324813', 'nm6325574', 'nm6326040', 'nm6326356', 'nm6327190', 'nm6327208', 'nm6328300', 'nm6331906', 'nm6334453', 'nm6336026', 'nm6338897', 'nm6339026', 'nm6340110', 'nm6340499', 'nm6341515', 'nm6341616', 'nm6342472', 'nm6342474', 'nm6343162', 'nm6343215', 'nm6343285', 'nm6343625', 'nm6346171', 'nm6348835', 'nm6349873', 'nm6355885', 'nm6359236', 'nm6359467', 'nm6359527', 'nm6359606', 'nm6366417', 'nm6366586', 'nm6370548', 'nm6370783', 'nm6371249', 'nm6372349', 'nm6376310', 'nm6376313', 'nm6376314', 'nm6376781', 'nm6376782', 'nm6376834', 'nm6377227', 'nm6377764', 'nm6379056', 'nm6379804', 'nm6381632', 'nm6388677', 'nm6390427', 'nm6391421', 'nm6395451', 'nm6395599', 'nm6396804', 'nm6399398', 'nm6399460', 'nm6403233', 'nm6406411', 'nm6406412', 'nm6406421', 'nm6415574', 'nm6419044', 'nm6420201', 'nm6421259', 'nm6422244', 'nm6422413', 'nm6425585', 'nm6425836', 'nm6425837', 'nm6430192', 'nm6431173', 'nm6433012', 'nm6437695', 'nm6441776', 'nm6442009', 'nm6442629', 'nm6445267', 'nm6447257', 'nm6447779', 'nm6449080', 'nm6449831', 'nm6450440', 'nm6450743', 'nm6453091', 'nm6458151', 'nm6458405', 'nm6460914', 'nm6460916', 'nm6461225', 'nm6466214', 'nm6468037', 'nm6469213', 'nm6469835', 'nm6471347', 'nm6474717', 'nm6475198', 'nm6475805', 'nm6476176', 'nm6476224', 'nm6478666', 'nm6479030', 'nm6479482', 'nm6481846', 'nm6483049', 'nm6483901', 'nm6484968', 'nm6485239', 'nm6486928', 'nm6487999', 'nm6488665', 'nm6489058', 'nm6491636', 'nm6495448', 'nm6495544', 'nm6506595', 'nm6506842', 'nm6510724', 'nm6514839', 'nm6515066', 'nm6516135', 'nm6516476', 'nm6518675', 'nm6518721', 'nm6520348', 'nm6520758', 'nm6524391', 'nm6525603', 'nm6525901', 'nm6526081', 'nm6530360', 'nm6530917', 'nm6530921', 'nm6531090', 'nm6532222', 'nm6533671', 'nm6534268', 'nm6534306', 'nm6535432', 'nm6536229', 'nm6541188', 'nm6541250', 'nm6541251', 'nm6541418', 'nm6541818', 'nm6543093', 'nm6543401', 'nm6543661', 'nm6544425', 'nm6546771', 'nm6547221', 'nm6548466', 'nm6550257', 'nm6550677', 'nm6551384', 'nm6551541', 'nm6552202', 'nm6552464', 'nm6552877', 'nm6557335', 'nm6557337', 'nm6558021', 'nm6558758', 'nm6559173', 'nm6559211', 'nm6559894', 'nm6561721', 'nm6561765', 'nm6561799', 'nm6562957', 'nm6563798', 'nm6563873', 'nm6564367', 'nm6564804', 'nm6564853', 'nm6565888', 'nm6566578', 'nm6567391', 'nm6567542', 'nm6570553', 'nm6571349', 'nm6572524', 'nm6573478', 'nm6574690', 'nm6574991', 'nm6575696', 'nm6576594', 'nm6578009', 'nm6578932', 'nm6579855', 'nm6579925', 'nm6583501', 'nm6586170', 'nm6588867', 'nm6590527', 'nm6591379', 'nm6592421', 'nm6592857', 'nm6602617', 'nm6602727', 'nm6603273', 'nm6603274', 'nm6603275', 'nm6603277', 'nm6603349', 'nm6604427', 'nm6605366', 'nm6605997', 'nm6608713', 'nm6613876', 'nm6614107', 'nm6616960', 'nm6617623', 'nm6617763', 'nm6617766', 'nm6617821', 'nm6618666', 'nm6619960', 'nm6620183', 'nm6620696', 'nm6620975', 'nm6622659', 'nm6622874', 'nm6623090', 'nm6623473', 'nm6623474', 'nm6625335', 'nm6625833', 'nm6627700', 'nm6628353', 'nm6633320', 'nm6635684', 'nm6638227', 'nm6638989', 'nm6639989', 'nm6641596', 'nm6645738', 'nm6646863', 'nm6649988', 'nm6651162', 'nm6653342', 'nm6654019', 'nm6654155', 'nm6654605', 'nm6654610', 'nm6656408', 'nm6656614', 'nm6657735', 'nm6658291', 'nm6658398', 'nm6659651', 'nm6660982', 'nm6662487', 'nm6663156', 'nm6663708', 'nm6665949', 'nm6667593', 'nm6668706', 'nm6672274', 'nm6672275', 'nm6675440', 'nm6676262', 'nm6676723', 'nm6677237', 'nm6679675', 'nm6680885', 'nm6681689', 'nm6681923', 'nm6682057', 'nm6682916', 'nm6687295', 'nm6687305', 'nm6687415', 'nm6687657', 'nm6689427', 'nm6689713', 'nm6690881', 'nm6691848', 'nm6697868', 'nm6699059', 'nm6699375', 'nm6702072', 'nm6705346', 'nm6705757', 'nm6706312', 'nm6706672', 'nm6706859', 'nm6710272', 'nm6710406', 'nm6712285', 'nm6713575', 'nm6716154', 'nm6716751', 'nm6718695', 'nm6720156', 'nm6720747', 'nm6723114', 'nm6723556', 'nm6726013', 'nm6728609', 'nm6728658', 'nm6728659', 'nm6728794', 'nm6728910', 'nm6729494', 'nm6731603', 'nm6732832', 'nm6733156', 'nm6734788', 'nm6736610', 'nm6738265', 'nm6748304', 'nm6748436', 'nm6749744', 'nm6754843', 'nm6757582', 'nm6757583', 'nm6757627', 'nm6763126', 'nm6764011', 'nm6765553', 'nm6768394', 'nm6771214', 'nm6771215', 'nm6771372', 'nm6771505', 'nm6771536', 'nm6771561', 'nm6771567', 'nm6772557', 'nm6775408', 'nm6778320', 'nm6779380', 'nm6779623', 'nm6780707', 'nm6783110', 'nm6783111', 'nm6783129', 'nm6783988', 'nm6784988', 'nm6785657', 'nm6786013', 'nm6786064', 'nm6787832', 'nm6792464', 'nm6798142', 'nm6800454', 'nm6801897', 'nm6803102', 'nm6803636', 'nm6806246', 'nm6806440', 'nm6807858', 'nm6807997', 'nm6810895', 'nm6811859', 'nm6811860', 'nm6811861', 'nm6811863', 'nm6812060', 'nm6819854', 'nm6821153', 'nm6822222', 'nm6822635', 'nm6822932', 'nm6823397', 'nm6823805', 'nm6826896', 'nm6827540', 'nm6827877', 'nm6829691', 'nm6832604', 'nm6833093', 'nm6833094', 'nm6833095', 'nm6833096', 'nm6833185', 'nm6833186', 'nm6833236', 'nm6835615', 'nm6835617', 'nm6835820', 'nm6836561', 'nm6836919', 'nm6838237', 'nm6842615', 'nm6843141', 'nm6843142', 'nm6843941', 'nm6844026', 'nm6844028', 'nm6844186', 'nm6844187', 'nm6844248', 'nm6844249', 'nm6844576', 'nm6844577', 'nm6844615', 'nm6845062', 'nm6845183', 'nm6847929', 'nm6847945', 'nm6847946', 'nm6850865', 'nm6851510', 'nm6854633', 'nm6855165', 'nm6855186', 'nm6857187', 'nm6857341', 'nm6859023', 'nm6861140', 'nm6863308', 'nm6864841', 'nm6866403', 'nm6866841', 'nm6867818', 'nm6868357', 'nm6870669', 'nm6870670', 'nm6870911', 'nm6873940', 'nm6874234', 'nm6875258', 'nm6875297', 'nm6876513', 'nm6877833', 'nm6878395', 'nm6881743', 'nm6883284', 'nm6887673', 'nm6889352', 'nm6891098', 'nm6891242', 'nm6891629', 'nm6891650', 'nm6891947', 'nm6892146', 'nm6892993', 'nm6895141', 'nm6896293', 'nm6896466', 'nm6898136', 'nm6901991', 'nm6903064', 'nm6906322', 'nm6907855', 'nm6908204', 'nm6909474', 'nm6913937', 'nm6914446', 'nm6914447', 'nm6916321', 'nm6916464', 'nm6916576', 'nm6916718', 'nm6916719', 'nm6916971', 'nm6917958', 'nm6922685', 'nm6922847', 'nm6923991', 'nm6925971', 'nm6931628', 'nm6934426', 'nm6934511', 'nm6940105', 'nm6940207', 'nm6940456', 'nm6940577', 'nm6940579', 'nm6940580', 'nm6948291', 'nm6951450', 'nm6951875', 'nm6952869', 'nm6953500', 'nm6954008', 'nm6956401', 'nm6956890', 'nm6957859', 'nm6957968', 'nm6957970', 'nm6960613', 'nm6963007', 'nm6963457', 'nm6964461', 'nm6966410', 'nm6966411', 'nm6966412', 'nm6966413', 'nm6966414', 'nm6968278', 'nm6968658', 'nm6969058', 'nm6970669', 'nm6972843', 'nm6973330', 'nm6974206', 'nm6974706', 'nm6975780', 'nm6975783', 'nm6976646', 'nm6976735', 'nm6978559', 'nm6981913', 'nm6981965', 'nm6981978', 'nm6983144', 'nm6985010', 'nm6994660', 'nm6994661', 'nm6995379', 'nm6995530', 'nm6997839', 'nm6998370', 'nm6998719', 'nm6999211', 'nm6999240', 'nm6999447', 'nm7003974', 'nm7006860', 'nm7008400', 'nm7010153', 'nm7011123', 'nm7012468', 'nm7012469', 'nm7013406', 'nm7014269', 'nm7015080', 'nm7015905', 'nm7017451', 'nm7017710', 'nm7017916', 'nm7018591', 'nm7021807', 'nm7024065', 'nm7024798', 'nm7026326', 'nm7027783', 'nm7029055', 'nm7031114', 'nm7031491', 'nm7032877', 'nm7033666', 'nm7033667', 'nm7033668', 'nm7033784', 'nm7035254', 'nm7035606', 'nm7035760', 'nm7038625', 'nm7045018', 'nm7046475', 'nm7050657', 'nm7050750', 'nm7051533', 'nm7052088', 'nm7054048', 'nm7058797', 'nm7065581', 'nm7078530', 'nm7078703', 'nm7079050', 'nm7081087', 'nm7082070', 'nm7084461', 'nm7085459', 'nm7089146', 'nm7091569', 'nm7091698', 'nm7093076', 'nm7093140', 'nm7093341', 'nm7094604', 'nm7096433', 'nm7096484', 'nm7096485', 'nm7096497', 'nm7097674', 'nm7097758', 'nm7107258', 'nm7107447', 'nm7108248', 'nm7108891', 'nm7109993', 'nm7110197', 'nm7110435', 'nm7111158', 'nm7112454', 'nm7115627', 'nm7115628', 'nm7116113', 'nm7116195', 'nm7116666', 'nm7121595', 'nm7123966', 'nm7131237', 'nm7132577', 'nm7132924', 'nm7133862', 'nm7135632', 'nm7137109', 'nm7137663', 'nm7140802', 'nm7142951', 'nm7146497', 'nm7149189', 'nm7149431', 'nm7152534', 'nm7152541', 'nm7153454', 'nm7153679', 'nm7154436', 'nm7155828', 'nm7158623', 'nm7161310', 'nm7162668', 'nm7166426', 'nm7169360', 'nm7173545', 'nm7173699', 'nm7176413', 'nm7176425', 'nm7176721', 'nm7179633', 'nm7182449', 'nm7184317', 'nm7184459', 'nm7185145', 'nm7186101', 'nm7186321', 'nm7187575', 'nm7187850', 'nm7188414', 'nm7190957', 'nm7191344', 'nm7192643', 'nm7195971', 'nm7199908', 'nm7201741', 'nm7201742', 'nm7201964', 'nm7204387', 'nm7204418', 'nm7206096', 'nm7206136', 'nm7209354', 'nm7209411', 'nm7210025', 'nm7211414', 'nm7211416', 'nm7211417', 'nm7211418', 'nm7211862', 'nm7212035', 'nm7213696', 'nm7216160', 'nm7217179', 'nm7220144', 'nm7220152', 'nm7221559', 'nm7224977', 'nm7225702', 'nm7227852', 'nm7232418', 'nm7237383', 'nm7237707', 'nm7238549', 'nm7242309', 'nm7242786', 'nm7243877', 'nm7243934', 'nm7244031', 'nm7244202', 'nm7244683', 'nm7245181', 'nm7248827', 'nm7249519', 'nm7249955', 'nm7253848', 'nm7254991', 'nm7260740', 'nm7261549', 'nm7265823', 'nm7267705', 'nm7270450', 'nm7270573', 'nm7271811', 'nm7274220', 'nm7275956', 'nm7282382', 'nm7282447', 'nm7287299', 'nm7288990', 'nm7292422', 'nm7293361', 'nm7293362', 'nm7294937', 'nm7298862', 'nm7300393', 'nm7301486', 'nm7308187', 'nm7308188', 'nm7309485', 'nm7312806', 'nm7312807', 'nm7312850', 'nm7316555', 'nm7317732', 'nm7318389', 'nm7321199', 'nm7321970', 'nm7322042', 'nm7324744', 'nm7325686', 'nm7326511', 'nm7327849', 'nm7329736', 'nm7331758', 'nm7331764', 'nm7331765', 'nm7331769', 'nm7331772', 'nm7333885', 'nm7335184', 'nm7337648', 'nm7337669', 'nm7337795', 'nm7338294', 'nm7338719', 'nm7340546', 'nm7341118', 'nm7341728', 'nm7343804', 'nm7344002', 'nm7344003', 'nm7344127', 'nm7344222', 'nm7344524', 'nm7344941', 'nm7344987', 'nm7345090', 'nm7345093', 'nm7346538', 'nm7346682', 'nm7346685', 'nm7348932', 'nm7349310', 'nm7350709', 'nm7355042', 'nm7356067', 'nm7356958', 'nm7360097', 'nm7362077', 'nm7362712', 'nm7363531', 'nm7363811', 'nm7367695', 'nm7368024', 'nm7370588', 'nm7371227', 'nm7371515', 'nm7371516', 'nm7371519', 'nm7371790', 'nm7371795', 'nm7372981', 'nm7373540', 'nm7373606', 'nm7374420', 'nm7382880', 'nm7383791', 'nm7385087', 'nm7385214', 'nm7385519', 'nm7386379', 'nm7387525', 'nm7387710', 'nm7388680', 'nm7392140', 'nm7392546', 'nm7393545', 'nm7393547', 'nm7393968', 'nm7394207', 'nm7394721', 'nm7396516', 'nm7398516', 'nm7398518', 'nm7398525', 'nm7398527', 'nm7400175', 'nm7400176', 'nm7401965', 'nm7402965', 'nm7403161', 'nm7403740', 'nm7406716', 'nm7407528', 'nm7408602', 'nm7412532', 'nm7412707', 'nm7413281', 'nm7413706', 'nm7414522', 'nm7414638', 'nm7414957', 'nm7415127', 'nm7415457', 'nm7415871', 'nm7416638', 'nm7416918', 'nm7420809', 'nm7421740', 'nm7424185', 'nm7424294', 'nm7424466', 'nm7433607', 'nm7436999', 'nm7437453', 'nm7437468', 'nm7439304', 'nm7440018', 'nm7440199', 'nm7440200', 'nm7440201', 'nm7440202', 'nm7440264', 'nm7440406', 'nm7440631', 'nm7441315', 'nm7443364', 'nm7445578', 'nm7446985', 'nm7447035', 'nm7447307', 'nm7449863', 'nm7450182', 'nm7453685', 'nm7455038', 'nm7455089', 'nm7455115', 'nm7455122', 'nm7457037', 'nm7459355', 'nm7462385', 'nm7462417', 'nm7463978', 'nm7466966', 'nm7466994', 'nm7468903', 'nm7469812', 'nm7470439', 'nm7471275', 'nm7474052', 'nm7474365', 'nm7476554', 'nm7476591', 'nm7476686', 'nm7476955', 'nm7477145', 'nm7478548', 'nm7479394', 'nm7480081', 'nm7480942', 'nm7481311', 'nm7483475', 'nm7487575', 'nm7489737', 'nm7490724', 'nm7491044', 'nm7494237', 'nm7496171', 'nm7498011', 'nm7498012', 'nm7501478', 'nm7502119', 'nm7502202', 'nm7503223', 'nm7503250', 'nm7503845', 'nm7503846', 'nm7507387', 'nm7507709', 'nm7508023', 'nm7509025', 'nm7509185', 'nm7510174', 'nm7510978', 'nm7511498', 'nm7511512', 'nm7514839', 'nm7515939', 'nm7516394', 'nm7516962', 'nm7517718', 'nm7522972', 'nm7523063', 'nm7523580', 'nm7525711', 'nm7526668', 'nm7527792', 'nm7527949', 'nm7529030', 'nm7531563', 'nm7532664', 'nm7540230', 'nm7543974', 'nm7544882', 'nm7545937', 'nm7545947', 'nm7548573', 'nm7548958', 'nm7549669', 'nm7549794', 'nm7549796', 'nm7549798', 'nm7549828', 'nm7553003', 'nm7553004', 'nm7557188', 'nm7561367', 'nm7561417', 'nm7562779', 'nm7565286', 'nm7566079', 'nm7566829', 'nm7567556', 'nm7567974', 'nm7568721', 'nm7569838', 'nm7573814', 'nm7575422', 'nm7580109', 'nm7582538', 'nm7583273', 'nm7585878', 'nm7586043', 'nm7587413', 'nm7587414', 'nm7587591', 'nm7588444', 'nm7589601', 'nm7590015', 'nm7590022', 'nm7590342', 'nm7591676', 'nm7591709', 'nm7591710', 'nm7591712', 'nm7591859', 'nm7591883', 'nm7591920', 'nm7591921', 'nm7591922', 'nm7592245', 'nm7592597', 'nm7593417', 'nm7593885', 'nm7594279', 'nm7599677', 'nm7601638', 'nm7602080', 'nm7603745', 'nm7606991', 'nm7607873', 'nm7607883', 'nm7608976', 'nm7609201', 'nm7609313', 'nm7609875', 'nm7611358', 'nm7611435', 'nm7611926', 'nm7613067', 'nm7613074', 'nm7613627', 'nm7615943', 'nm7616095', 'nm7618161', 'nm7619190', 'nm7621162', 'nm7621667', 'nm7622667', 'nm7624180', 'nm7624235', 'nm7624628', 'nm7626124', 'nm7627041', 'nm7628280', 'nm7628718', 'nm7632185', 'nm7632186', 'nm7633342', 'nm7635388', 'nm7636001', 'nm7638929', 'nm7639148', 'nm7639778', 'nm7641183', 'nm7653325', 'nm7655595', 'nm7655745', 'nm7656549', 'nm7657383', 'nm7657703', 'nm7658078', 'nm7658991', 'nm7659482', 'nm7659743', 'nm7661630', 'nm7661631', 'nm7662086', 'nm7662862', 'nm7664316', 'nm7665527', 'nm7666133', 'nm7666229', 'nm7672788', 'nm7673284', 'nm7675905', 'nm7676537', 'nm7676538', 'nm7676539', 'nm7679250', 'nm7681136', 'nm7683379', 'nm7685655', 'nm7686174', 'nm7686225', 'nm7691811', 'nm7691851', 'nm7691867', 'nm7691937', 'nm7692698', 'nm7694222', 'nm7695820', 'nm7700949', 'nm7702433', 'nm7703116', 'nm7703162', 'nm7708571', 'nm7709173', 'nm7709590', 'nm7710153', 'nm7711040', 'nm7712734', 'nm7713754', 'nm7713812', 'nm7717123', 'nm7718443', 'nm7722316', 'nm7724720', 'nm7727920', 'nm7728167', 'nm7731030', 'nm7731032', 'nm7731059', 'nm7732432', 'nm7732483', 'nm7732622', 'nm7733137', 'nm7733347', 'nm7733350', 'nm7737419', 'nm7738797', 'nm7739716', 'nm7741709', 'nm7741792', 'nm7744161', 'nm7744472', 'nm7744616', 'nm7744845', 'nm7745725', 'nm7745726', 'nm7745727', 'nm7745728', 'nm7745799', 'nm7745902', 'nm7747297', 'nm7752440', 'nm7752562', 'nm7752797', 'nm7752798', 'nm7753310', 'nm7754257', 'nm7754593', 'nm7757668', 'nm7758759', 'nm7760578', 'nm7760892', 'nm7762888', 'nm7764877', 'nm7764989', 'nm7769154', 'nm7775934', 'nm7776965', 'nm7782150', 'nm7782358', 'nm7783240', 'nm7792553', 'nm7793020', 'nm7794923', 'nm7795570', 'nm7796669', 'nm7798669', 'nm7800057', 'nm7800518', 'nm7803731', 'nm7805169', 'nm7805172', 'nm7805884', 'nm7806571', 'nm7807996', 'nm7808003', 'nm7808411', 'nm7813958', 'nm7814433', 'nm7821387', 'nm7822037', 'nm7823472', 'nm7825207', 'nm7825793', 'nm7826102', 'nm7826600', 'nm7827348', 'nm7830350', 'nm7830569', 'nm7837385', 'nm7837994', 'nm7839107', 'nm7845642', 'nm7845643', 'nm7845644', 'nm7845645', 'nm7846445', 'nm7847362', 'nm7849953', 'nm7851453', 'nm7854903', 'nm7862765', 'nm7865907', 'nm7866751', 'nm7866752', 'nm7866753', 'nm7866754', 'nm7866755', 'nm7867358', 'nm7867621', 'nm7867821', 'nm7870704', 'nm7873700', 'nm7874279', 'nm7874626', 'nm7884452', 'nm7885187', 'nm7887725', 'nm7890339', 'nm7890800', 'nm7890932', 'nm7893528', 'nm7900692', 'nm7900894', 'nm7901826', 'nm7901827', 'nm7902018', 'nm7902559', 'nm7904438', 'nm7906702', 'nm7909355', 'nm7910620', 'nm7912847', 'nm7913347', 'nm7913888', 'nm7914406', 'nm7916384', 'nm7917803', 'nm7919760', 'nm7921536', 'nm7921537', 'nm7921891', 'nm7927066', 'nm7927251', 'nm7927575', 'nm7928888', 'nm7929471', 'nm7930896', 'nm7931969', 'nm7934649', 'nm7934830', 'nm7936195', 'nm7937946', 'nm7938553', 'nm7938555', 'nm7939956', 'nm7940302', 'nm7946406', 'nm7946703', 'nm7947618', 'nm7947619', 'nm7947822', 'nm7947823', 'nm7947824', 'nm7947860', 'nm7947861', 'nm7947865', 'nm7949360', 'nm7950806', 'nm7950808', 'nm7954550', 'nm7955701', 'nm7955704', 'nm7955709', 'nm7955711', 'nm7955712', 'nm7956411', 'nm7956813', 'nm7958343', 'nm7960885', 'nm7962951', 'nm7963683', 'nm7964002', 'nm7966281', 'nm7972752', 'nm7974033', 'nm7974248', 'nm7977908', 'nm7979939', 'nm7981536', 'nm7986575', 'nm7987534', 'nm7987845', 'nm7988463', 'nm7989379', 'nm7989380', 'nm7989498', 'nm7995981', 'nm7996229', 'nm7997970', 'nm7998427', 'nm8000863', 'nm8002676', 'nm8003645', 'nm8004570', 'nm8006111', 'nm8006127', 'nm8006304', 'nm8006696', 'nm8008128', 'nm8008780', 'nm8012463', 'nm8013928', 'nm8016420', 'nm8016855', 'nm8016856', 'nm8016858', 'nm8017505', 'nm8017940', 'nm8018197', 'nm8020424', 'nm8021695', 'nm8022229', 'nm8022921', 'nm8023453', 'nm8023748', 'nm8027008', 'nm8027733', 'nm8027734', 'nm8027736', 'nm8028681', 'nm8028683', 'nm8028690', 'nm8029525', 'nm8030915', 'nm8030916', 'nm8031743', 'nm8032050', 'nm8033695', 'nm8037956', 'nm8040682', 'nm8041901', 'nm8044334', 'nm8044335', 'nm8044596', 'nm8045046', 'nm8045290', 'nm8045516', 'nm8047098', 'nm8048167', 'nm8052168', 'nm8052257', 'nm8057446', 'nm8059984', 'nm8060521', 'nm8061218', 'nm8061858', 'nm8065206', 'nm8065790', 'nm8066528', 'nm8066736', 'nm8067304', 'nm8068499', 'nm8070051', 'nm8071982', 'nm8071983', 'nm8073251', 'nm8075925', 'nm8076281', 'nm8077778', 'nm8077779', 'nm8077780', 'nm8078423', 'nm8079746', 'nm8081132', 'nm8084147', 'nm8084156', 'nm8084157', 'nm8084287', 'nm8087469', 'nm8087548', 'nm8088062', 'nm8089467', 'nm8091769', 'nm8092795', 'nm8096120', 'nm8096121', 'nm8096122', 'nm8097804', 'nm8097805', 'nm8097820', 'nm8097823', 'nm8105494', 'nm8105706', 'nm8105878', 'nm8109082', 'nm8109907', 'nm8110173', 'nm8110524', 'nm8111443', 'nm8111444', 'nm8113643', 'nm8114198', 'nm8115563', 'nm8116316', 'nm8118464', 'nm8119174', 'nm8119757', 'nm8119762', 'nm8125221', 'nm8126250', 'nm8129850', 'nm8134169', 'nm8134170', 'nm8134958', 'nm8135195', 'nm8135414', 'nm8136624', 'nm8137313', 'nm8137508', 'nm8138176', 'nm8140069', 'nm8141375', 'nm8142722', 'nm8144032', 'nm8144832', 'nm8144833', 'nm8145723', 'nm8152221', 'nm8152835', 'nm8153822', 'nm8156298', 'nm8157740', 'nm8165340', 'nm8165467', 'nm8165602', 'nm8165603', 'nm8167375', 'nm8167688', 'nm8167695', 'nm8168644', 'nm8170616', 'nm8172053', 'nm8172125', 'nm8172126', 'nm8175408', 'nm8175959', 'nm8180163', 'nm8182397', 'nm8185157', 'nm8185973', 'nm8185975', 'nm8186002', 'nm8186099', 'nm8188622', 'nm8188746', 'nm8195896', 'nm8196922', 'nm8198621', 'nm8198622', 'nm8198623', 'nm8202452', 'nm8203857', 'nm8205766', 'nm8205905', 'nm8208516', 'nm8210730', 'nm8212878', 'nm8213486', 'nm8213743', 'nm8214477', 'nm8219358', 'nm8220710', 'nm8227239', 'nm8230647', 'nm8234257', 'nm8237564', 'nm8238078', 'nm8240027', 'nm8241250', 'nm8241451', 'nm8243162', 'nm8244422', 'nm8244467', 'nm8244590', 'nm8245378', 'nm8245956', 'nm8246782', 'nm8247612', 'nm8247613', 'nm8247628', 'nm8251674', 'nm8254848', 'nm8255076', 'nm8257146', 'nm8257423', 'nm8258018', 'nm8258024', 'nm8259593', 'nm8264172', 'nm8264557', 'nm8264601', 'nm8266210', 'nm8269829', 'nm8273848', 'nm8274745', 'nm8276486', 'nm8276585', 'nm8279086', 'nm8279175', 'nm8280490', 'nm8280667', 'nm8282056', 'nm8283698', 'nm8284539', 'nm8284773', 'nm8284910', 'nm8284971', 'nm8287501', 'nm8288407', 'nm8293240', 'nm8300906', 'nm8300908', 'nm8304413', 'nm8308484', 'nm8308968', 'nm8314228', 'nm8317321', 'nm8318918', 'nm8322311', 'nm8328893', 'nm8332635', 'nm8332644', 'nm8334734', 'nm8336420', 'nm8337120', 'nm8338608', 'nm8340437', 'nm8347273', 'nm8348342', 'nm8349062', 'nm8351607', 'nm8358661', 'nm8363268', 'nm8365231', 'nm8365413', 'nm8367841', 'nm8368204', 'nm8368205', 'nm8369605', 'nm8374266', 'nm8378619', 'nm8378620', 'nm8378621', 'nm8378622', 'nm8378625', 'nm8378626', 'nm8378628', 'nm8380569', 'nm8382868', 'nm8383298', 'nm8383952', 'nm8384600', 'nm8384642', 'nm8385160', 'nm8386456', 'nm8386457', 'nm8386458', 'nm8386459', 'nm8386460', 'nm8386461', 'nm8388779', 'nm8390021', 'nm8395137', 'nm8399169', 'nm8399408', 'nm8402368', 'nm8402992', 'nm8404637', 'nm8405300', 'nm8407821', 'nm8408599', 'nm8408938', 'nm8412536', 'nm8415453', 'nm8420166', 'nm8423767', 'nm8424641', 'nm8425817', 'nm8429088', 'nm8429633', 'nm8430709', 'nm8430830', 'nm8432165', 'nm8434585', 'nm8434783', 'nm8435408', 'nm8435544', 'nm8437490', 'nm8437705', 'nm8437834', 'nm8437979', 'nm8438061', 'nm8438062', 'nm8439615', 'nm8441561', 'nm8442167', 'nm8442212', 'nm8442488', 'nm8443034', 'nm8445976', 'nm8446021', 'nm8446544', 'nm8450260', 'nm8451584', 'nm8451585', 'nm8451587', 'nm8451917', 'nm8452426', 'nm8453762', 'nm8454906', 'nm8455473', 'nm8455495', 'nm8456831', 'nm8456965', 'nm8458915', 'nm8459909', 'nm8460487', 'nm8460698', 'nm8461075', 'nm8461872', 'nm8467055', 'nm8467096', 'nm8467898', 'nm8467900', 'nm8467901', 'nm8467902', 'nm8468428', 'nm8468705', 'nm8468959', 'nm8470932', 'nm8471273', 'nm8471275', 'nm8471310', 'nm8471312', 'nm8471366', 'nm8471387', 'nm8475903', 'nm8477099', 'nm8477320', 'nm8479658', 'nm8485131', 'nm8485134', 'nm8486844', 'nm8488982', 'nm8489290', 'nm8495330', 'nm8495447', 'nm8496758', 'nm8503897', 'nm8506457', 'nm8510164', 'nm8510226', 'nm8511271', 'nm8511275', 'nm8511280', 'nm8511292', 'nm8511303', 'nm8511304', 'nm8512286', 'nm8512754', 'nm8519550', 'nm8520071', 'nm8521297', 'nm8523602', 'nm8525043', 'nm8527016', 'nm8528494', 'nm8530183', 'nm8532023', 'nm8533124', 'nm8533749', 'nm8534591', 'nm8540882', 'nm8543451', 'nm8543452', 'nm8544485', 'nm8545068', 'nm8549423', 'nm8554947', 'nm8556087', 'nm8556902', 'nm8557169', 'nm8557182', 'nm8557211', 'nm8558090', 'nm8565406', 'nm8567129', 'nm8568277', 'nm8568658', 'nm8570499', 'nm8574700', 'nm8575756', 'nm8577356', 'nm8578378', 'nm8578974', 'nm8581419', 'nm8583232', 'nm8587627', 'nm8588870', 'nm8589353', 'nm8589893', 'nm8596700', 'nm8605877', 'nm8609804', 'nm8611756', 'nm8611957', 'nm8612305', 'nm8614381', 'nm8615156', 'nm8619937', 'nm8620050', 'nm8620401', 'nm8620494', 'nm8621197', 'nm8623936', 'nm8624059', 'nm8625874', 'nm8625899', 'nm8626531', 'nm8627157', 'nm8630118', 'nm8631499', 'nm8631697', 'nm8635807', 'nm8636414', 'nm8636559', 'nm8638388', 'nm8640782', 'nm8641316', 'nm8642269', 'nm8642654', 'nm8642655', 'nm8642656', 'nm8646939', 'nm8648527', 'nm8651742', 'nm8653756', 'nm8655487', 'nm8655504', 'nm8657271', 'nm8657459', 'nm8658321', 'nm8659025', 'nm8659042', 'nm8662726', 'nm8664147', 'nm8664252', 'nm8664974', 'nm8667557', 'nm8668991', 'nm8671368', 'nm8671435', 'nm8672591', 'nm8672947', 'nm8673980', 'nm8674673', 'nm8675323', 'nm8675610', 'nm8675611', 'nm8675636', 'nm8679126', 'nm8685855', 'nm8686501', 'nm8689375', 'nm8690147', 'nm8691029', 'nm8691030', 'nm8691031', 'nm8691032', 'nm8694131', 'nm8694959', 'nm8696503', 'nm8698374', 'nm8699745', 'nm8702088', 'nm8703180', 'nm8704862', 'nm8707186', 'nm8708044', 'nm8710594', 'nm8711437', 'nm8711438', 'nm8712362', 'nm8713021', 'nm8717929', 'nm8720201', 'nm8720624', 'nm8722462', 'nm8723707', 'nm8725461', 'nm8725946', 'nm8726520', 'nm8728057', 'nm8729192', 'nm8729249', 'nm8731249', 'nm8731960', 'nm8733483', 'nm8738069', 'nm8740834', 'nm8742390', 'nm8742391', 'nm8744024', 'nm8744091', 'nm8744341', 'nm8745616', 'nm8746600', 'nm8747119', 'nm8747878', 'nm8748783', 'nm8748784', 'nm8748785', 'nm8752712', 'nm8754353', 'nm8760095', 'nm8760655', 'nm8762715', 'nm8763530', 'nm8763596', 'nm8765271', 'nm8766941', 'nm8771760', 'nm8772557', 'nm8772807', 'nm8773157', 'nm8775952', 'nm8777706', 'nm8777950', 'nm8786575', 'nm8787094', 'nm8795976', 'nm8795977', 'nm8798940', 'nm8801016', 'nm8801490', 'nm8805317', 'nm8805917', 'nm8805918', 'nm8805919', 'nm8813034', 'nm8816235', 'nm8816805', 'nm8817378', 'nm8817861', 'nm8817862', 'nm8819265', 'nm8820373', 'nm8822791', 'nm8822933', 'nm8822957', 'nm8823079', 'nm8823152', 'nm8823427', 'nm8826678', 'nm8830500', 'nm8830548', 'nm8831356', 'nm8833077', 'nm8834004', 'nm8834865', 'nm8835835', 'nm8838405', 'nm8841523', 'nm8847657', 'nm8849491', 'nm8853855', 'nm8853856', 'nm8855294', 'nm8856867', 'nm8857173', 'nm8858440', 'nm8859429', 'nm8859430', 'nm8860625', 'nm8864596', 'nm8870109', 'nm8871347', 'nm8872000', 'nm8872698', 'nm8874655', 'nm8876227', 'nm8876332', 'nm8877725', 'nm8879572', 'nm8879574', 'nm8881310', 'nm8883272', 'nm8885885', 'nm8886654', 'nm8887348', 'nm8889705', 'nm8889745', 'nm8890215', 'nm8892686', 'nm8893024', 'nm8893681', 'nm8896240', 'nm8897847', 'nm8900816', 'nm8901475', 'nm8901733', 'nm8904117', 'nm8904193', 'nm8906287', 'nm8907359', 'nm8909174', 'nm8909858', 'nm8910433', 'nm8911148', 'nm8912777', 'nm8912882', 'nm8915757', 'nm8915933', 'nm8916365', 'nm8916615', 'nm8918174', 'nm8920089', 'nm8920300', 'nm8920726', 'nm8921267', 'nm8921268', 'nm8922924', 'nm8923002', 'nm8924553', 'nm8925941', 'nm8927531', 'nm8928142', 'nm8928696', 'nm8930157', 'nm8930453', 'nm8932809', 'nm8933053', 'nm8936275', 'nm8936867', 'nm8937111', 'nm8941559', 'nm8943378', 'nm8948296', 'nm8949505', 'nm8953979', 'nm8953986', 'nm8958770', 'nm8959839', 'nm8961867', 'nm8968865', 'nm8969330', 'nm8971931', 'nm8975062', 'nm8975520', 'nm8978765', 'nm8979379', 'nm8981235', 'nm8981556', 'nm8981755', 'nm8981757', 'nm8982446', 'nm8982449', 'nm8983503', 'nm8990751', 'nm8992205', 'nm8992365', 'nm8994338', 'nm8996129', 'nm8997185', 'nm8998143', 'nm8998150', 'nm9000158', 'nm9001131', 'nm9005902', 'nm9007918', 'nm9009366', 'nm9012731', 'nm9015191', 'nm9016108', 'nm9017101', 'nm9017120', 'nm9017706', 'nm9018625', 'nm9019396', 'nm9025636', 'nm9026235', 'nm9029040', 'nm9031005', 'nm9031158', 'nm9044271', 'nm9045339', 'nm9045614', 'nm9045615', 'nm9047592', 'nm9047593', 'nm9048342', 'nm9048574', 'nm9052375', 'nm9055184', 'nm9056043', 'nm9056369', 'nm9056559', 'nm9056560', 'nm9058135', 'nm9058454', 'nm9058889', 'nm9058955', 'nm9060511', 'nm9061279', 'nm9063684', 'nm9063950', 'nm9063951', 'nm9065235', 'nm9066896', 'nm9066897', 'nm9067235', 'nm9067239', 'nm9068015', 'nm9068918', 'nm9069396', 'nm9071083', 'nm9072109', 'nm9072925', 'nm9074056', 'nm9074057', 'nm9074058', 'nm9074458', 'nm9074654', 'nm9075644', 'nm9075728', 'nm9076788', 'nm9076944', 'nm9076945', 'nm9077389', 'nm9083666', 'nm9083712', 'nm9085248', 'nm9085870', 'nm9086195', 'nm9086204', 'nm9087987', 'nm9090530', 'nm9090581', 'nm9091521', 'nm9091530', 'nm9094846', 'nm9095390', 'nm9096228', 'nm9096847', 'nm9096966', 'nm9097271', 'nm9098598', 'nm9102304', 'nm9103080', 'nm9103143', 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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 22745 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      nm0000001  nm0000002  nm0000003  nm0000004  nm0000006  nm0000007  \\\n",
       "0             0          0          0          0          0          0   \n",
       "1             0          0          0          0          0          0   \n",
       "2             0          0          0          0          0          0   \n",
       "3             0          0          0          0          0          0   \n",
       "4             0          0          0          0          0          0   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "9520          0          0          0          0          0          0   \n",
       "9521          0          0          0          0          0          0   \n",
       "9522          0          0          0          0          0          0   \n",
       "9523          0          0          0          0          0          0   \n",
       "9524          0          0          0          0          0          0   \n",
       "\n",
       "      nm0000008  nm0000009  nm0000010  nm0000011  ...  nm9989004  nm9989005  \\\n",
       "0             0          0          0          0  ...          0          0   \n",
       "1             0          0          0          0  ...          0          0   \n",
       "2             0          0          0          0  ...          0          0   \n",
       "3             0          0          0          0  ...          0          0   \n",
       "4             0          0          0          0  ...          0          0   \n",
       "...         ...        ...        ...        ...  ...        ...        ...   \n",
       "9520          0          0          0          0  ...          0          0   \n",
       "9521          0          0          0          0  ...          0          0   \n",
       "9522          0          0          0          0  ...          0          0   \n",
       "9523          0          0          0          0  ...          0          0   \n",
       "9524          0          0          0          0  ...          0          0   \n",
       "\n",
       "      nm9989006  nm9989931  nm9989932  nm9989933  nm9990690  nm9990691  \\\n",
       "0             0          0          0          0          0          0   \n",
       "1             0          0          0          0          0          0   \n",
       "2             0          0          0          0          0          0   \n",
       "3             0          0          0          0          0          0   \n",
       "4             0          0          0          0          0          0   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "9520          0          0          0          0          0          0   \n",
       "9521          0          0          0          0          0          0   \n",
       "9522          0          0          0          0          0          0   \n",
       "9523          0          0          0          0          0          0   \n",
       "9524          0          0          0          0          0          0   \n",
       "\n",
       "      nm9991000  nm9992659  \n",
       "0             0          0  \n",
       "1             0          0  \n",
       "2             0          0  \n",
       "3             0          0  \n",
       "4             0          0  \n",
       "...         ...        ...  \n",
       "9520          0          0  \n",
       "9521          0          0  \n",
       "9522          0          0  \n",
       "9523          0          0  \n",
       "9524          0          0  \n",
       "\n",
       "[9525 rows x 22745 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_actors_combinations = final_metadata_with_overview['actors'].unique()\n",
    "unique_actors = set()\n",
    "\n",
    "for combination in unique_actors_combinations:\n",
    "    actors = combination.split(',')\n",
    "    unique_actors.update(actors)\n",
    "\n",
    "print(sorted(unique_actors))\n",
    "actors_one_hot_encoded = final_metadata_with_overview.actors.str.get_dummies(sep=',')\n",
    "# final_metadata_with_overview[actors_one_hot_encoded.sum(axis=1) > 1]\n",
    "actors_one_hot_encoded"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>director_pca_1</th>\n",
       "      <th>director_pca_2</th>\n",
       "      <th>director_pca_3</th>\n",
       "      <th>director_pca_4</th>\n",
       "      <th>director_pca_5</th>\n",
       "      <th>director_pca_6</th>\n",
       "      <th>director_pca_7</th>\n",
       "      <th>director_pca_8</th>\n",
       "      <th>director_pca_9</th>\n",
       "      <th>director_pca_10</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.019113</td>\n",
       "      <td>-0.050949</td>\n",
       "      <td>0.993766</td>\n",
       "      <td>0.017598</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.017035</td>\n",
       "      <td>0.007771</td>\n",
       "      <td>0.003589</td>\n",
       "      <td>0.002636</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.003524</td>\n",
       "      <td>-0.003014</td>\n",
       "      <td>-0.003032</td>\n",
       "      <td>-0.001987</td>\n",
       "      <td>-0.000121</td>\n",
       "      <td>-0.000017</td>\n",
       "      <td>-0.003548</td>\n",
       "      <td>-0.002407</td>\n",
       "      <td>-0.001980</td>\n",
       "      <td>-0.001787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.003524</td>\n",
       "      <td>-0.003014</td>\n",
       "      <td>-0.003032</td>\n",
       "      <td>-0.001987</td>\n",
       "      <td>-0.000121</td>\n",
       "      <td>-0.000017</td>\n",
       "      <td>-0.003548</td>\n",
       "      <td>-0.002407</td>\n",
       "      <td>-0.001980</td>\n",
       "      <td>-0.001787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.003727</td>\n",
       "      <td>-0.003215</td>\n",
       "      <td>-0.003248</td>\n",
       "      <td>-0.002146</td>\n",
       "      <td>-0.000131</td>\n",
       "      <td>-0.000019</td>\n",
       "      <td>-0.003859</td>\n",
       "      <td>-0.002636</td>\n",
       "      <td>-0.002204</td>\n",
       "      <td>-0.002016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.003623</td>\n",
       "      <td>-0.003111</td>\n",
       "      <td>-0.003136</td>\n",
       "      <td>-0.002063</td>\n",
       "      <td>-0.000126</td>\n",
       "      <td>-0.000018</td>\n",
       "      <td>-0.003697</td>\n",
       "      <td>-0.002516</td>\n",
       "      <td>-0.002086</td>\n",
       "      <td>-0.001894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>-0.003837</td>\n",
       "      <td>-0.003326</td>\n",
       "      <td>-0.003368</td>\n",
       "      <td>-0.002235</td>\n",
       "      <td>-0.000136</td>\n",
       "      <td>-0.000020</td>\n",
       "      <td>-0.004034</td>\n",
       "      <td>-0.002767</td>\n",
       "      <td>-0.002337</td>\n",
       "      <td>-0.002153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>-0.003524</td>\n",
       "      <td>-0.003014</td>\n",
       "      <td>-0.003032</td>\n",
       "      <td>-0.001987</td>\n",
       "      <td>-0.000121</td>\n",
       "      <td>-0.000017</td>\n",
       "      <td>-0.003548</td>\n",
       "      <td>-0.002407</td>\n",
       "      <td>-0.001980</td>\n",
       "      <td>-0.001787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9522</th>\n",
       "      <td>-0.003727</td>\n",
       "      <td>-0.003215</td>\n",
       "      <td>-0.003248</td>\n",
       "      <td>-0.002146</td>\n",
       "      <td>-0.000131</td>\n",
       "      <td>-0.000019</td>\n",
       "      <td>-0.003859</td>\n",
       "      <td>-0.002636</td>\n",
       "      <td>-0.002205</td>\n",
       "      <td>-0.002015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>-0.003837</td>\n",
       "      <td>-0.003326</td>\n",
       "      <td>-0.003369</td>\n",
       "      <td>-0.002235</td>\n",
       "      <td>-0.000137</td>\n",
       "      <td>-0.000020</td>\n",
       "      <td>-0.004036</td>\n",
       "      <td>-0.002768</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>-0.002153</td>\n",
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       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>-0.003524</td>\n",
       "      <td>-0.003014</td>\n",
       "      <td>-0.003032</td>\n",
       "      <td>-0.001987</td>\n",
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       "      <td>-0.001980</td>\n",
       "      <td>-0.001787</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      director_pca_1  director_pca_2  director_pca_3  director_pca_4  \\\n",
       "0          -0.019113       -0.050949        0.993766        0.017598   \n",
       "1          -0.003524       -0.003014       -0.003032       -0.001987   \n",
       "2          -0.003524       -0.003014       -0.003032       -0.001987   \n",
       "3          -0.003727       -0.003215       -0.003248       -0.002146   \n",
       "4          -0.003623       -0.003111       -0.003136       -0.002063   \n",
       "...              ...             ...             ...             ...   \n",
       "9520       -0.003837       -0.003326       -0.003368       -0.002235   \n",
       "9521       -0.003524       -0.003014       -0.003032       -0.001987   \n",
       "9522       -0.003727       -0.003215       -0.003248       -0.002146   \n",
       "9523       -0.003837       -0.003326       -0.003369       -0.002235   \n",
       "9524       -0.003524       -0.003014       -0.003032       -0.001987   \n",
       "\n",
       "      director_pca_5  director_pca_6  director_pca_7  director_pca_8  \\\n",
       "0           0.000618        0.000056        0.017035        0.007771   \n",
       "1          -0.000121       -0.000017       -0.003548       -0.002407   \n",
       "2          -0.000121       -0.000017       -0.003548       -0.002407   \n",
       "3          -0.000131       -0.000019       -0.003859       -0.002636   \n",
       "4          -0.000126       -0.000018       -0.003697       -0.002516   \n",
       "...              ...             ...             ...             ...   \n",
       "9520       -0.000136       -0.000020       -0.004034       -0.002767   \n",
       "9521       -0.000121       -0.000017       -0.003548       -0.002407   \n",
       "9522       -0.000131       -0.000019       -0.003859       -0.002636   \n",
       "9523       -0.000137       -0.000020       -0.004036       -0.002768   \n",
       "9524       -0.000121       -0.000017       -0.003548       -0.002407   \n",
       "\n",
       "      director_pca_9  director_pca_10  \n",
       "0           0.003589         0.002636  \n",
       "1          -0.001980        -0.001787  \n",
       "2          -0.001980        -0.001787  \n",
       "3          -0.002204        -0.002016  \n",
       "4          -0.002086        -0.001894  \n",
       "...              ...              ...  \n",
       "9520       -0.002337        -0.002153  \n",
       "9521       -0.001980        -0.001787  \n",
       "9522       -0.002205        -0.002015  \n",
       "9523       -0.002335        -0.002153  \n",
       "9524       -0.001980        -0.001787  \n",
       "\n",
       "[9525 rows x 10 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "pca = PCA(n_components=10)\n",
    "directors_pca = pca.fit_transform(directors_one_hot_encoded)\n",
    "directors_pca_df = pd.DataFrame(directors_pca, columns=[f'director_pca_{i+1}' for i in range(10)])\n",
    "directors_pca_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>actor_pca_1</th>\n",
       "      <th>actor_pca_2</th>\n",
       "      <th>actor_pca_3</th>\n",
       "      <th>actor_pca_4</th>\n",
       "      <th>actor_pca_5</th>\n",
       "      <th>actor_pca_6</th>\n",
       "      <th>actor_pca_7</th>\n",
       "      <th>actor_pca_8</th>\n",
       "      <th>actor_pca_9</th>\n",
       "      <th>actor_pca_10</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.031266</td>\n",
       "      <td>0.027537</td>\n",
       "      <td>-0.018893</td>\n",
       "      <td>-0.060943</td>\n",
       "      <td>0.011886</td>\n",
       "      <td>-0.017243</td>\n",
       "      <td>-0.109380</td>\n",
       "      <td>-0.106655</td>\n",
       "      <td>-0.081659</td>\n",
       "      <td>-0.162639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.164580</td>\n",
       "      <td>0.360036</td>\n",
       "      <td>0.082930</td>\n",
       "      <td>-0.252963</td>\n",
       "      <td>-0.052485</td>\n",
       "      <td>0.590873</td>\n",
       "      <td>-0.458731</td>\n",
       "      <td>0.033117</td>\n",
       "      <td>0.223110</td>\n",
       "      <td>0.256453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.015562</td>\n",
       "      <td>-0.010610</td>\n",
       "      <td>-0.004736</td>\n",
       "      <td>0.000590</td>\n",
       "      <td>-0.007191</td>\n",
       "      <td>-0.001167</td>\n",
       "      <td>-0.004215</td>\n",
       "      <td>-0.000164</td>\n",
       "      <td>-0.005590</td>\n",
       "      <td>0.001145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.158101</td>\n",
       "      <td>0.313738</td>\n",
       "      <td>0.040787</td>\n",
       "      <td>-0.163939</td>\n",
       "      <td>-0.065458</td>\n",
       "      <td>0.535656</td>\n",
       "      <td>-0.452134</td>\n",
       "      <td>-0.060533</td>\n",
       "      <td>0.245784</td>\n",
       "      <td>0.295243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.157429</td>\n",
       "      <td>0.449737</td>\n",
       "      <td>0.097794</td>\n",
       "      <td>0.939599</td>\n",
       "      <td>-0.067310</td>\n",
       "      <td>0.153658</td>\n",
       "      <td>-0.023813</td>\n",
       "      <td>0.095911</td>\n",
       "      <td>-0.005397</td>\n",
       "      <td>-0.083440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>-0.014720</td>\n",
       "      <td>-0.009884</td>\n",
       "      <td>-0.004163</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>-0.006750</td>\n",
       "      <td>-0.000707</td>\n",
       "      <td>-0.003671</td>\n",
       "      <td>-0.000732</td>\n",
       "      <td>-0.004802</td>\n",
       "      <td>-0.000068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>-0.014720</td>\n",
       "      <td>-0.009884</td>\n",
       "      <td>-0.004163</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>-0.006750</td>\n",
       "      <td>-0.000707</td>\n",
       "      <td>-0.003671</td>\n",
       "      <td>-0.000732</td>\n",
       "      <td>-0.004802</td>\n",
       "      <td>-0.000068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9522</th>\n",
       "      <td>-0.016389</td>\n",
       "      <td>-0.011148</td>\n",
       "      <td>-0.004811</td>\n",
       "      <td>0.000665</td>\n",
       "      <td>-0.008018</td>\n",
       "      <td>-0.000782</td>\n",
       "      <td>-0.004384</td>\n",
       "      <td>-0.000816</td>\n",
       "      <td>-0.005666</td>\n",
       "      <td>-0.000061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>-0.014720</td>\n",
       "      <td>-0.009884</td>\n",
       "      <td>-0.004163</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>-0.006750</td>\n",
       "      <td>-0.000707</td>\n",
       "      <td>-0.003671</td>\n",
       "      <td>-0.000732</td>\n",
       "      <td>-0.004802</td>\n",
       "      <td>-0.000068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>-0.014720</td>\n",
       "      <td>-0.009884</td>\n",
       "      <td>-0.004163</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>-0.006750</td>\n",
       "      <td>-0.000707</td>\n",
       "      <td>-0.003671</td>\n",
       "      <td>-0.000732</td>\n",
       "      <td>-0.004802</td>\n",
       "      <td>-0.000068</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      actor_pca_1  actor_pca_2  actor_pca_3  actor_pca_4  actor_pca_5  \\\n",
       "0        0.031266     0.027537    -0.018893    -0.060943     0.011886   \n",
       "1        0.164580     0.360036     0.082930    -0.252963    -0.052485   \n",
       "2       -0.015562    -0.010610    -0.004736     0.000590    -0.007191   \n",
       "3        0.158101     0.313738     0.040787    -0.163939    -0.065458   \n",
       "4        0.157429     0.449737     0.097794     0.939599    -0.067310   \n",
       "...           ...          ...          ...          ...          ...   \n",
       "9520    -0.014720    -0.009884    -0.004163     0.000547    -0.006750   \n",
       "9521    -0.014720    -0.009884    -0.004163     0.000547    -0.006750   \n",
       "9522    -0.016389    -0.011148    -0.004811     0.000665    -0.008018   \n",
       "9523    -0.014720    -0.009884    -0.004163     0.000547    -0.006750   \n",
       "9524    -0.014720    -0.009884    -0.004163     0.000547    -0.006750   \n",
       "\n",
       "      actor_pca_6  actor_pca_7  actor_pca_8  actor_pca_9  actor_pca_10  \n",
       "0       -0.017243    -0.109380    -0.106655    -0.081659     -0.162639  \n",
       "1        0.590873    -0.458731     0.033117     0.223110      0.256453  \n",
       "2       -0.001167    -0.004215    -0.000164    -0.005590      0.001145  \n",
       "3        0.535656    -0.452134    -0.060533     0.245784      0.295243  \n",
       "4        0.153658    -0.023813     0.095911    -0.005397     -0.083440  \n",
       "...           ...          ...          ...          ...           ...  \n",
       "9520    -0.000707    -0.003671    -0.000732    -0.004802     -0.000068  \n",
       "9521    -0.000707    -0.003671    -0.000732    -0.004802     -0.000068  \n",
       "9522    -0.000782    -0.004384    -0.000816    -0.005666     -0.000061  \n",
       "9523    -0.000707    -0.003671    -0.000732    -0.004802     -0.000068  \n",
       "9524    -0.000707    -0.003671    -0.000732    -0.004802     -0.000068  \n",
       "\n",
       "[9525 rows x 10 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "pca = PCA(n_components=10)\n",
    "actors_pca = pca.fit_transform(actors_one_hot_encoded)\n",
    "actors_pca_df = pd.DataFrame(actors_pca, columns=[f'actor_pca_{i+1}' for i in range(10)])\n",
    "actors_pca_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>genre_pca_1</th>\n",
       "      <th>genre_pca_2</th>\n",
       "      <th>genre_pca_3</th>\n",
       "      <th>genre_pca_4</th>\n",
       "      <th>genre_pca_5</th>\n",
       "      <th>genre_pca_6</th>\n",
       "      <th>genre_pca_7</th>\n",
       "      <th>genre_pca_8</th>\n",
       "      <th>genre_pca_9</th>\n",
       "      <th>genre_pca_10</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.507565</td>\n",
       "      <td>-0.141528</td>\n",
       "      <td>-0.064547</td>\n",
       "      <td>-0.136922</td>\n",
       "      <td>-0.169213</td>\n",
       "      <td>-0.075252</td>\n",
       "      <td>0.022748</td>\n",
       "      <td>-0.115094</td>\n",
       "      <td>-0.086711</td>\n",
       "      <td>-0.004606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.507565</td>\n",
       "      <td>-0.141528</td>\n",
       "      <td>-0.064547</td>\n",
       "      <td>-0.136922</td>\n",
       "      <td>-0.169213</td>\n",
       "      <td>-0.075252</td>\n",
       "      <td>0.022748</td>\n",
       "      <td>-0.115094</td>\n",
       "      <td>-0.086711</td>\n",
       "      <td>-0.004606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.686370</td>\n",
       "      <td>-0.573469</td>\n",
       "      <td>0.909004</td>\n",
       "      <td>-0.083375</td>\n",
       "      <td>0.043290</td>\n",
       "      <td>-0.196309</td>\n",
       "      <td>-0.212790</td>\n",
       "      <td>-0.337770</td>\n",
       "      <td>0.386549</td>\n",
       "      <td>-0.042482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.718725</td>\n",
       "      <td>-0.760379</td>\n",
       "      <td>1.181481</td>\n",
       "      <td>-0.022248</td>\n",
       "      <td>-0.059175</td>\n",
       "      <td>0.072703</td>\n",
       "      <td>-0.172628</td>\n",
       "      <td>0.472833</td>\n",
       "      <td>0.040285</td>\n",
       "      <td>0.060272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.948559</td>\n",
       "      <td>-0.772241</td>\n",
       "      <td>-0.402676</td>\n",
       "      <td>0.792835</td>\n",
       "      <td>0.477188</td>\n",
       "      <td>-0.095943</td>\n",
       "      <td>-0.006987</td>\n",
       "      <td>-0.150786</td>\n",
       "      <td>0.069844</td>\n",
       "      <td>0.073789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>0.484636</td>\n",
       "      <td>0.747536</td>\n",
       "      <td>0.198904</td>\n",
       "      <td>0.180142</td>\n",
       "      <td>-0.278362</td>\n",
       "      <td>-0.132935</td>\n",
       "      <td>0.001885</td>\n",
       "      <td>-0.129491</td>\n",
       "      <td>-0.243953</td>\n",
       "      <td>0.008305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>-0.507565</td>\n",
       "      <td>-0.141528</td>\n",
       "      <td>-0.064547</td>\n",
       "      <td>-0.136922</td>\n",
       "      <td>-0.169213</td>\n",
       "      <td>-0.075252</td>\n",
       "      <td>0.022748</td>\n",
       "      <td>-0.115094</td>\n",
       "      <td>-0.086711</td>\n",
       "      <td>-0.004606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9522</th>\n",
       "      <td>-0.705364</td>\n",
       "      <td>0.196669</td>\n",
       "      <td>0.090752</td>\n",
       "      <td>-0.174198</td>\n",
       "      <td>0.665425</td>\n",
       "      <td>0.158609</td>\n",
       "      <td>0.032344</td>\n",
       "      <td>0.008722</td>\n",
       "      <td>0.088145</td>\n",
       "      <td>-0.028443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>-0.507565</td>\n",
       "      <td>-0.141528</td>\n",
       "      <td>-0.064547</td>\n",
       "      <td>-0.136922</td>\n",
       "      <td>-0.169213</td>\n",
       "      <td>-0.075252</td>\n",
       "      <td>0.022748</td>\n",
       "      <td>-0.115094</td>\n",
       "      <td>-0.086711</td>\n",
       "      <td>-0.004606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>-0.705364</td>\n",
       "      <td>0.196669</td>\n",
       "      <td>0.090752</td>\n",
       "      <td>-0.174198</td>\n",
       "      <td>0.665425</td>\n",
       "      <td>0.158609</td>\n",
       "      <td>0.032344</td>\n",
       "      <td>0.008722</td>\n",
       "      <td>0.088145</td>\n",
       "      <td>-0.028443</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      genre_pca_1  genre_pca_2  genre_pca_3  genre_pca_4  genre_pca_5  \\\n",
       "0       -0.507565    -0.141528    -0.064547    -0.136922    -0.169213   \n",
       "1       -0.507565    -0.141528    -0.064547    -0.136922    -0.169213   \n",
       "2        0.686370    -0.573469     0.909004    -0.083375     0.043290   \n",
       "3        0.718725    -0.760379     1.181481    -0.022248    -0.059175   \n",
       "4        0.948559    -0.772241    -0.402676     0.792835     0.477188   \n",
       "...           ...          ...          ...          ...          ...   \n",
       "9520     0.484636     0.747536     0.198904     0.180142    -0.278362   \n",
       "9521    -0.507565    -0.141528    -0.064547    -0.136922    -0.169213   \n",
       "9522    -0.705364     0.196669     0.090752    -0.174198     0.665425   \n",
       "9523    -0.507565    -0.141528    -0.064547    -0.136922    -0.169213   \n",
       "9524    -0.705364     0.196669     0.090752    -0.174198     0.665425   \n",
       "\n",
       "      genre_pca_6  genre_pca_7  genre_pca_8  genre_pca_9  genre_pca_10  \n",
       "0       -0.075252     0.022748    -0.115094    -0.086711     -0.004606  \n",
       "1       -0.075252     0.022748    -0.115094    -0.086711     -0.004606  \n",
       "2       -0.196309    -0.212790    -0.337770     0.386549     -0.042482  \n",
       "3        0.072703    -0.172628     0.472833     0.040285      0.060272  \n",
       "4       -0.095943    -0.006987    -0.150786     0.069844      0.073789  \n",
       "...           ...          ...          ...          ...           ...  \n",
       "9520    -0.132935     0.001885    -0.129491    -0.243953      0.008305  \n",
       "9521    -0.075252     0.022748    -0.115094    -0.086711     -0.004606  \n",
       "9522     0.158609     0.032344     0.008722     0.088145     -0.028443  \n",
       "9523    -0.075252     0.022748    -0.115094    -0.086711     -0.004606  \n",
       "9524     0.158609     0.032344     0.008722     0.088145     -0.028443  \n",
       "\n",
       "[9525 rows x 10 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "pca = PCA(n_components=10)\n",
    "genres_pca = pca.fit_transform(genres_one_hot_encoded)\n",
    "genres_pca_df = pd.DataFrame(genres_pca, columns=[f'genre_pca_{i+1}' for i in range(10)])\n",
    "genres_pca_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>runtimeMinutes</th>\n",
       "      <th>averageRating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.653399</td>\n",
       "      <td>0.235320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.636739</td>\n",
       "      <td>1.332856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.309362</td>\n",
       "      <td>-1.284345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.238803</td>\n",
       "      <td>0.995152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.163688</td>\n",
       "      <td>2.177114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>-1.943536</td>\n",
       "      <td>0.741875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>-0.739408</td>\n",
       "      <td>1.501708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9522</th>\n",
       "      <td>-0.997435</td>\n",
       "      <td>0.573023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>-2.287573</td>\n",
       "      <td>-0.271235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>1.711853</td>\n",
       "      <td>0.910727</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      runtimeMinutes  averageRating\n",
       "0          -0.653399       0.235320\n",
       "1           0.636739       1.332856\n",
       "2          -0.309362      -1.284345\n",
       "3           1.238803       0.995152\n",
       "4           0.163688       2.177114\n",
       "...              ...            ...\n",
       "9520       -1.943536       0.741875\n",
       "9521       -0.739408       1.501708\n",
       "9522       -0.997435       0.573023\n",
       "9523       -2.287573      -0.271235\n",
       "9524        1.711853       0.910727\n",
       "\n",
       "[9525 rows x 2 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "additional_features = final_metadata_with_overview.iloc[:,:-384].iloc[:, [4,6]]\n",
    "# additional_features를 정규화\n",
    "additional_features = (additional_features - additional_features.mean()) / additional_features.std()\n",
    "additional_features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Edge index 생성"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Action',\n",
       " 'Adventure',\n",
       " 'Animation',\n",
       " 'Biography',\n",
       " 'Comedy',\n",
       " 'Crime',\n",
       " 'Documentary',\n",
       " 'Drama',\n",
       " 'Family',\n",
       " 'Fantasy',\n",
       " 'Film-Noir',\n",
       " 'History',\n",
       " 'Horror',\n",
       " 'Music',\n",
       " 'Musical',\n",
       " 'Mystery',\n",
       " 'News',\n",
       " 'Romance',\n",
       " 'Sci-Fi',\n",
       " 'Sport',\n",
       " 'Thriller',\n",
       " 'War',\n",
       " 'Western']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 장르로 edge를 연결\n",
    "unique_genres_combinations = final_metadata_with_overview['genres'].unique()\n",
    "\n",
    "unique_genres = set() # 고유한 장르를 저장할 집합\n",
    "\n",
    "for combination in unique_genres_combinations:\n",
    "    genres = combination.split(',') # 장르 조합을 분리\n",
    "    unique_genres.update(genres) # 집합에 추가하여 고유한 장르만을 보존\n",
    "unique_genres = unique_genres - {'\\\\N'}\n",
    "sorted(unique_genres)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 각 영화의 인덱스를 키로, 해당 영화의 장르를 값으로 가지는 딕셔너리 생성\n",
    "movie_genres = {}\n",
    "for index, row in final_metadata_with_overview.iterrows():\n",
    "    genres = row.iloc[5].split(',')  # ','로 장르 분리\n",
    "    movie_genres[index] = set(genres)  # 장르 집합 생성하여 딕셔너리에 저장\n",
    "# movie_genres\n",
    "# 각 장르별 영화 개수 plot\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "genre_count = {}\n",
    "for genres in movie_genres.values():\n",
    "    for genre in genres:\n",
    "        if genre in genre_count:\n",
    "            genre_count[genre] += 1\n",
    "        else:\n",
    "            genre_count[genre] = 1\n",
    "genre_count = dict(sorted(genre_count.items(), key=lambda x: x[1], reverse=True))\n",
    "plt.figure(figsize=(20, 10))\n",
    "plt.bar(genre_count.keys(), genre_count.values())\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Drama': 5705,\n",
       " 'Comedy': 2423,\n",
       " 'Action': 1891,\n",
       " 'Thriller': 1621,\n",
       " 'Romance': 1604,\n",
       " 'Crime': 1402,\n",
       " 'Horror': 1208,\n",
       " 'Adventure': 978,\n",
       " 'Mystery': 936,\n",
       " 'Sci-Fi': 545,\n",
       " 'Fantasy': 534,\n",
       " 'Biography': 368,\n",
       " 'Animation': 367,\n",
       " 'Family': 321,\n",
       " 'History': 307,\n",
       " 'War': 224,\n",
       " 'Documentary': 211,\n",
       " 'Music': 200,\n",
       " 'Sport': 107,\n",
       " 'Musical': 93,\n",
       " 'Western': 66,\n",
       " '\\\\N': 49,\n",
       " 'Film-Noir': 29,\n",
       " 'News': 2}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genre_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# 각 영화의 인덱스를 키로, 해당 영화의 장르를 값으로 가지는 딕셔너리 생성\n",
    "movie_genres = {}\n",
    "for index, row in final_metadata_with_overview.iterrows():\n",
    "    genres = row.iloc[5].split(',')  # ','로 장르 분리\n",
    "    movie_genres[index] = set(genres)  # 장르 집합 생성하여 딕셔너리에 저장\n",
    "\n",
    "# edge_index 생성\n",
    "edge_index = [[], []]\n",
    "\n",
    "# 영화 쌍을 비교하여 공통 장르가 있는 경우 edge_index에 추가\n",
    "for movie1 in movie_genres.keys():\n",
    "    for movie2 in movie_genres.keys():\n",
    "        if movie1 < movie2:  # 중복 비교 방지\n",
    "            # 공통 장르 확인\n",
    "            if not movie_genres[movie1].isdisjoint(movie_genres[movie2]):\n",
    "                # 두 영화 간 공통 장르가 있으면 edge_index에 추가\n",
    "                edge_index[0].append(movie1)\n",
    "                edge_index[1].append(movie2)\n",
    "                # 양방향 연결을 위해 반대 방향도 추가\n",
    "                edge_index[0].append(movie2)\n",
    "                edge_index[1].append(movie1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 47265432)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edge_index = np.array(edge_index)\n",
    "edge_index.shape\n",
    "# edge_index의 edge_index[0]이 1인 것을 추출\n",
    "# edge_index[:, edge_index[0] == 1].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "# genres_edge_index 저장\n",
    "np.save('genres_edge_index.npy', edge_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "final_metadata_with_overview_embeddings_ver5_0511 = pd.read_excel(\"final_metadata_with_overview_embeddings_ver5_0511.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "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>tconst</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>startYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "      <th>directors</th>\n",
       "      <th>ordering</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt31015344</td>\n",
       "      <td>A Traveler's Needs</td>\n",
       "      <td>Yeohaengjaui Pilyo</td>\n",
       "      <td>2024</td>\n",
       "      <td>90</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6.5</td>\n",
       "      <td>75</td>\n",
       "      <td>nm0393254</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016458</td>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.050298</td>\n",
       "      <td>0.037739</td>\n",
       "      <td>-0.076090</td>\n",
       "      <td>-0.010432</td>\n",
       "      <td>-0.058701</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>0.035267</td>\n",
       "      <td>-0.023228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt30911335</td>\n",
       "      <td>Dog Days</td>\n",
       "      <td>Dogeudeijeu</td>\n",
       "      <td>2024</td>\n",
       "      <td>120</td>\n",
       "      <td>Drama</td>\n",
       "      <td>7.8</td>\n",
       "      <td>31</td>\n",
       "      <td>nm15730187</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034701</td>\n",
       "      <td>-0.008065</td>\n",
       "      <td>-0.024117</td>\n",
       "      <td>-0.003312</td>\n",
       "      <td>0.038821</td>\n",
       "      <td>-0.030186</td>\n",
       "      <td>0.019926</td>\n",
       "      <td>0.074339</td>\n",
       "      <td>-0.018989</td>\n",
       "      <td>0.055851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt9682428</td>\n",
       "      <td>Night Swim</td>\n",
       "      <td>Night Swim</td>\n",
       "      <td>2024</td>\n",
       "      <td>98</td>\n",
       "      <td>Horror,Thriller</td>\n",
       "      <td>4.7</td>\n",
       "      <td>12654</td>\n",
       "      <td>nm3241399</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>-0.049932</td>\n",
       "      <td>-0.121888</td>\n",
       "      <td>-0.054388</td>\n",
       "      <td>-0.020564</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>0.021484</td>\n",
       "      <td>0.052849</td>\n",
       "      <td>0.035944</td>\n",
       "      <td>0.025606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt27802490</td>\n",
       "      <td>Exhuma</td>\n",
       "      <td>Pamyo</td>\n",
       "      <td>2024</td>\n",
       "      <td>134</td>\n",
       "      <td>Horror,Mystery,Thriller</td>\n",
       "      <td>7.4</td>\n",
       "      <td>495</td>\n",
       "      <td>nm6940206</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051392</td>\n",
       "      <td>-0.002096</td>\n",
       "      <td>0.044035</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.044593</td>\n",
       "      <td>-0.032423</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.020807</td>\n",
       "      <td>0.021268</td>\n",
       "      <td>0.008938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt27811040</td>\n",
       "      <td>The Roundup: Punishment</td>\n",
       "      <td>Beomjoedosi4</td>\n",
       "      <td>2024</td>\n",
       "      <td>109</td>\n",
       "      <td>Action,Crime,Thriller</td>\n",
       "      <td>8.8</td>\n",
       "      <td>101</td>\n",
       "      <td>nm2441168</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041042</td>\n",
       "      <td>-0.039577</td>\n",
       "      <td>0.034051</td>\n",
       "      <td>0.041895</td>\n",
       "      <td>-0.132000</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.089292</td>\n",
       "      <td>-0.132800</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.006363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>tt0017409</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>1926</td>\n",
       "      <td>60</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>7.1</td>\n",
       "      <td>746</td>\n",
       "      <td>nm0523932</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>tt0015064</td>\n",
       "      <td>The Last Laugh</td>\n",
       "      <td>Der letzte Mann</td>\n",
       "      <td>1924</td>\n",
       "      <td>88</td>\n",
       "      <td>Drama</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15105</td>\n",
       "      <td>nm0003638</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029271</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
       "      <td>-0.038684</td>\n",
       "      <td>-0.013877</td>\n",
       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9522</th>\n",
       "      <td>tt0014624</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>1923</td>\n",
       "      <td>82</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6104</td>\n",
       "      <td>nm0000122</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018064</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>tt0012806</td>\n",
       "      <td>Four Around the Woman</td>\n",
       "      <td>Vier um die Frau</td>\n",
       "      <td>1921</td>\n",
       "      <td>52</td>\n",
       "      <td>Drama</td>\n",
       "      <td>5.9</td>\n",
       "      <td>581</td>\n",
       "      <td>nm0000485</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047176</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>tt0011841</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>1920</td>\n",
       "      <td>145</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5863</td>\n",
       "      <td>nm0000428</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026308</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 396 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          tconst                       primaryTitle  \\\n",
       "0     tt31015344                 A Traveler's Needs   \n",
       "1     tt30911335                           Dog Days   \n",
       "2      tt9682428                         Night Swim   \n",
       "3     tt27802490                             Exhuma   \n",
       "4     tt27811040            The Roundup: Punishment   \n",
       "...          ...                                ...   \n",
       "9520   tt0017409                   So This Is Paris   \n",
       "9521   tt0015064                     The Last Laugh   \n",
       "9522   tt0014624  A Woman of Paris: A Drama of Fate   \n",
       "9523   tt0012806              Four Around the Woman   \n",
       "9524   tt0011841                      Way Down East   \n",
       "\n",
       "                          originalTitle  startYear  runtimeMinutes  \\\n",
       "0                    Yeohaengjaui Pilyo       2024              90   \n",
       "1                           Dogeudeijeu       2024             120   \n",
       "2                            Night Swim       2024              98   \n",
       "3                                 Pamyo       2024             134   \n",
       "4                          Beomjoedosi4       2024             109   \n",
       "...                                 ...        ...             ...   \n",
       "9520                   So This Is Paris       1926              60   \n",
       "9521                    Der letzte Mann       1924              88   \n",
       "9522  A Woman of Paris: A Drama of Fate       1923              82   \n",
       "9523                   Vier um die Frau       1921              52   \n",
       "9524                      Way Down East       1920             145   \n",
       "\n",
       "                       genres  averageRating  numVotes   directors  ordering  \\\n",
       "0                       Drama            6.5        75   nm0393254         1   \n",
       "1                       Drama            7.8        31  nm15730187         1   \n",
       "2             Horror,Thriller            4.7     12654   nm3241399         1   \n",
       "3     Horror,Mystery,Thriller            7.4       495   nm6940206         1   \n",
       "4       Action,Crime,Thriller            8.8       101   nm2441168        10   \n",
       "...                       ...            ...       ...         ...       ...   \n",
       "9520                   Comedy            7.1       746   nm0523932         1   \n",
       "9521                    Drama            8.0     15105   nm0003638         1   \n",
       "9522            Drama,Romance            6.9      6104   nm0000122        10   \n",
       "9523                    Drama            5.9       581   nm0000485         1   \n",
       "9524            Drama,Romance            7.3      5863   nm0000428         1   \n",
       "\n",
       "      ... embedding_374 embedding_375  embedding_376  embedding_377  \\\n",
       "0     ...      0.016458     -0.023006      -0.050298       0.037739   \n",
       "1     ...     -0.034701     -0.008065      -0.024117      -0.003312   \n",
       "2     ...      0.003738     -0.049932      -0.121888      -0.054388   \n",
       "3     ...      0.051392     -0.002096       0.044035       0.059909   \n",
       "4     ...      0.041042     -0.039577       0.034051       0.041895   \n",
       "...   ...           ...           ...            ...            ...   \n",
       "9520  ...     -0.052198     -0.056215      -0.065513       0.068392   \n",
       "9521  ...      0.029271     -0.052846       0.032112       0.051352   \n",
       "9522  ...      0.018064     -0.050176      -0.045593       0.036943   \n",
       "9523  ...     -0.047176     -0.100745       0.056739       0.063528   \n",
       "9524  ...      0.026308     -0.031079       0.015309       0.108602   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "0         -0.076090      -0.010432      -0.058701       0.017649   \n",
       "1          0.038821      -0.030186       0.019926       0.074339   \n",
       "2         -0.020564       0.050116       0.021484       0.052849   \n",
       "3         -0.044593      -0.032423       0.081002       0.020807   \n",
       "4         -0.132000      -0.051895       0.089292      -0.132800   \n",
       "...             ...            ...            ...            ...   \n",
       "9520       0.040504      -0.013506      -0.068042       0.001189   \n",
       "9521      -0.038684      -0.013877       0.074433      -0.020061   \n",
       "9522      -0.046362      -0.033189      -0.061279      -0.036766   \n",
       "9523      -0.031887      -0.028223      -0.002628      -0.041470   \n",
       "9524      -0.053923       0.095502       0.000965      -0.005393   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "0          0.035267      -0.023228  \n",
       "1         -0.018989       0.055851  \n",
       "2          0.035944       0.025606  \n",
       "3          0.021268       0.008938  \n",
       "4         -0.011520      -0.006363  \n",
       "...             ...            ...  \n",
       "9520      -0.021429      -0.103460  \n",
       "9521      -0.008468       0.026134  \n",
       "9522       0.073398      -0.105024  \n",
       "9523       0.026425       0.023838  \n",
       "9524      -0.005323      -0.025500  \n",
       "\n",
       "[9525 rows x 396 columns]"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_metadata_with_overview_embeddings_ver5_0511"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[   0,   38,    0, ..., 9523, 9519, 9523],\n",
       "       [  38,    0,   91, ..., 9512, 9523, 9519]])"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 감독으로 edge를 연결\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "unique_directors_combinations = final_metadata_with_overview_embeddings_ver5_0511['directors'].unique()\n",
    "\n",
    "unique_directors = set()\n",
    "\n",
    "for combination in unique_directors_combinations:\n",
    "    directors = combination.split(',')\n",
    "    unique_directors.update(directors)\n",
    "\n",
    "# 각 영화의 인덱스를 키로, 해당 영화의 감독을 값으로 가지는 딕셔너리 생성\n",
    "movie_directors = {}\n",
    "for index, row in final_metadata_with_overview_embeddings_ver5_0511.iterrows():\n",
    "    directors = row.iloc[8].split(',')  # ','로 감독 분리\n",
    "    movie_directors[index] = set(directors)  # 감독 집합 생성하여 딕셔너리에 저장\n",
    "\n",
    "# edge_index 생성\n",
    "directors_edge_index = [[], []]\n",
    "\n",
    "# 영화 쌍을 비교하여 공통 감독이 있는 경우 edge_index에 추가\n",
    "for movie1 in movie_directors.keys():\n",
    "    for movie2 in movie_directors.keys():\n",
    "        if movie1 < movie2:  # 중복 비교 방지\n",
    "            # 공통 감독 확인\n",
    "            if not movie_directors[movie1].isdisjoint(movie_directors[movie2]):\n",
    "                # 두 영화 간 공통 감독이 있으면 edge_index에 추가\n",
    "                directors_edge_index[0].append(movie1)\n",
    "                directors_edge_index[1].append(movie2)\n",
    "                # 양방향 연결을 위해 반대 방향도 추가\n",
    "                directors_edge_index[0].append(movie2)\n",
    "                directors_edge_index[1].append(movie1)\n",
    "\n",
    "directors_edge_index = np.array(directors_edge_index)\n",
    "directors_edge_index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: {'nm0393254'},\n",
       " 1: {'nm15730187'},\n",
       " 2: {'nm3241399'},\n",
       " 3: {'nm6940206'},\n",
       " 4: {'nm2441168'},\n",
       " 5: {'nm15707090'},\n",
       " 6: {'nm8142058'},\n",
       " 7: {'nm1569807'},\n",
       " 8: {'nm14656499'},\n",
       " 9: {'nm2441168'},\n",
       " 10: {'nm13767046'},\n",
       " 11: {'nm6930231'},\n",
       " 12: {'nm1354143'},\n",
       " 13: {'nm15312187',\n",
       "  'nm15312188',\n",
       "  'nm15312189',\n",
       "  'nm3289265',\n",
       "  'nm5296100',\n",
       "  'nm5769723'},\n",
       " 14: {'nm4998869'},\n",
       " 15: {'nm15283160'},\n",
       " 16: {'nm10893938'},\n",
       " 17: {'nm14043455'},\n",
       " 18: {'nm4647793'},\n",
       " 19: {'nm15346372'},\n",
       " 20: {'nm1017500', 'nm1079050', 'nm11672085', 'nm12916702', 'nm2400256'},\n",
       " 21: {'\\\\N'},\n",
       " 22: {'nm13356064'},\n",
       " 23: {'nm3613566'},\n",
       " 24: {'nm4727866'},\n",
       " 25: {'nm1754436'},\n",
       " 26: {'nm2198421'},\n",
       " 27: {'nm4590300'},\n",
       " 28: {'nm0261840'},\n",
       " 29: {'nm5894081'},\n",
       " 30: {'nm6940581'},\n",
       " 31: {'nm7606295'},\n",
       " 32: {'nm3482943'},\n",
       " 33: {'nm6582133'},\n",
       " 34: {'nm0299173'},\n",
       " 35: {'nm4863798'},\n",
       " 36: {'\\\\N'},\n",
       " 37: {'nm12735341'},\n",
       " 38: {'nm0393254'},\n",
       " 39: {'nm9372733'},\n",
       " 40: {'\\\\N'},\n",
       " 41: {'nm1203013'},\n",
       " 42: {'nm3448269'},\n",
       " 43: {'nm10395578', 'nm11028372'},\n",
       " 44: {'\\\\N'},\n",
       " 45: {'nm3211945'},\n",
       " 46: {'nm2012736'},\n",
       " 47: {'nm3587010'},\n",
       " 48: {'\\\\N'},\n",
       " 49: {'nm2811630'},\n",
       " 50: {'nm8694244'},\n",
       " 51: {'nm12675888'},\n",
       " 52: {'nm14485132'},\n",
       " 53: {'nm0466153'},\n",
       " 54: {'nm0013824'},\n",
       " 55: {'nm12693772'},\n",
       " 56: {'nm13400886'},\n",
       " 57: {'nm7209418'},\n",
       " 58: {'nm14314554'},\n",
       " 59: {'nm0945724'},\n",
       " 60: {'nm8460699'},\n",
       " 61: {'nm6972592'},\n",
       " 62: {'nm14473631'},\n",
       " 63: {'nm0757081'},\n",
       " 64: {'nm14481434'},\n",
       " 65: {'nm8066994'},\n",
       " 66: {'nm3206815'},\n",
       " 67: {'nm4336458'},\n",
       " 68: {'nm1536498'},\n",
       " 69: {'nm5645761'},\n",
       " 70: {'\\\\N'},\n",
       " 71: {'nm3649696'},\n",
       " 72: {'nm15756067'},\n",
       " 73: {'nm2016688'},\n",
       " 74: {'nm15002124'},\n",
       " 75: {'nm3700736'},\n",
       " 76: {'\\\\N'},\n",
       " 77: {'nm10201503'},\n",
       " 78: {'nm0753423'},\n",
       " 79: {'nm12358881'},\n",
       " 80: {'nm1215478'},\n",
       " 81: {'nm15000896'},\n",
       " 82: {'nm15159731'},\n",
       " 83: {'nm7345019'},\n",
       " 84: {'nm0403297'},\n",
       " 85: {'nm13503783'},\n",
       " 86: {'nm10379771', 'nm7377603'},\n",
       " 87: {'nm3002770'},\n",
       " 88: {'\\\\N'},\n",
       " 89: {'nm14751057'},\n",
       " 90: {'nm4219902'},\n",
       " 91: {'nm0393254'},\n",
       " 92: {'\\\\N'},\n",
       " 93: {'nm1360810'},\n",
       " 94: {'nm5688465'},\n",
       " 95: {'nm8996758'},\n",
       " 96: {'\\\\N'},\n",
       " 97: {'nm5645217'},\n",
       " 98: {'nm15352216'},\n",
       " 99: {'nm1226290'},\n",
       " 100: {'nm9322484'},\n",
       " 101: {'nm1420683'},\n",
       " 102: {'\\\\N'},\n",
       " 103: {'nm1826454'},\n",
       " 104: {'nm15124176'},\n",
       " 105: {'nm1372836'},\n",
       " 106: {'nm0453518'},\n",
       " 107: {'nm0849747'},\n",
       " 108: {'nm6174515'},\n",
       " 109: {'nm4037204'},\n",
       " 110: {'nm8490915'},\n",
       " 111: {'nm2604863'},\n",
       " 112: {'nm0437625'},\n",
       " 113: {'nm1339474', 'nm1980099'},\n",
       " 114: {'nm2183118'},\n",
       " 115: {'nm0005363'},\n",
       " 116: {'nm0000123'},\n",
       " 117: {'nm12675888'},\n",
       " 118: {'nm3051443'},\n",
       " 119: {'nm2464976'},\n",
       " 120: {'nm1371193'},\n",
       " 121: {'nm7511697'},\n",
       " 122: {'nm2193504'},\n",
       " 123: {'nm1454795'},\n",
       " 124: {'nm0948027'},\n",
       " 125: {'nm1246883'},\n",
       " 126: {'nm10991290', 'nm12970375'},\n",
       " 127: {'nm0239228'},\n",
       " 128: {'nm7112480'},\n",
       " 129: {'nm0994416'},\n",
       " 130: {'nm6033367'},\n",
       " 131: {'nm6959954'},\n",
       " 132: {'nm2435887'},\n",
       " 133: {'nm0939260'},\n",
       " 134: {'nm1856678'},\n",
       " 135: {'nm3849565'},\n",
       " 136: {'nm0993644'},\n",
       " 137: {'nm2098213', 'nm2530900'},\n",
       " 138: {'nm1564550'},\n",
       " 139: {'nm0528963'},\n",
       " 140: {'nm1802040'},\n",
       " 141: {'nm1242054'},\n",
       " 142: {'nm1149911', 'nm5891598'},\n",
       " 143: {'nm1560896'},\n",
       " 144: {'nm0619715'},\n",
       " 145: {'nm2815892'},\n",
       " 146: {'nm8208564'},\n",
       " 147: {'nm4389150'},\n",
       " 148: {'nm0201094', 'nm0201095'},\n",
       " 149: {'nm6112161'},\n",
       " 150: {'nm0597687'},\n",
       " 151: {'nm0568018'},\n",
       " 152: {'nm8696537'},\n",
       " 153: {'nm4320125'},\n",
       " 154: {'nm1970598'},\n",
       " 155: {'nm3743828'},\n",
       " 156: {'nm3998180'},\n",
       " 157: {'nm9070209', 'nm9070213'},\n",
       " 158: {'nm2700235'},\n",
       " 159: {'nm0855424'},\n",
       " 160: {'nm1454034'},\n",
       " 161: {'nm0369030'},\n",
       " 162: {'nm3388224', 'nm4429417'},\n",
       " 163: {'nm1130985'},\n",
       " 164: {'nm2133257'},\n",
       " 165: {'nm0720411'},\n",
       " 166: {'nm2676052'},\n",
       " 167: {'nm4899218'},\n",
       " 168: {'nm1184488'},\n",
       " 169: {'nm5741167'},\n",
       " 170: {'nm4422247'},\n",
       " 171: {'nm2604863'},\n",
       " 172: {'nm1615371'},\n",
       " 173: {'nm3621304'},\n",
       " 174: {'nm12201758'},\n",
       " 175: {'nm1672163'},\n",
       " 176: {'nm0083651'},\n",
       " 177: {'nm0643664'},\n",
       " 178: {'nm3821224'},\n",
       " 179: {'nm0001438'},\n",
       " 180: {'nm4461980'},\n",
       " 181: {'nm5193241'},\n",
       " 182: {'nm13400271'},\n",
       " 183: {'nm13400729'},\n",
       " 184: {'nm1597563', 'nm5501975'},\n",
       " 185: {'nm6356973'},\n",
       " 186: {'nm5779249'},\n",
       " 187: {'nm3505289'},\n",
       " 188: {'nm11489030',\n",
       "  'nm1712390',\n",
       "  'nm2476487',\n",
       "  'nm2547182',\n",
       "  'nm3068401',\n",
       "  'nm3387998',\n",
       "  'nm4377784'},\n",
       " 189: {'nm4999596'},\n",
       " 190: {'nm8928699'},\n",
       " 191: {'nm2416032', 'nm3558357'},\n",
       " 192: {'nm1552548'},\n",
       " 193: {'nm3276655'},\n",
       " 194: {'nm1492802', 'nm15778969'},\n",
       " 195: {'nm0326995'},\n",
       " 196: {'nm4681274'},\n",
       " 197: {'nm3654931'},\n",
       " 198: {'nm13563810'},\n",
       " 199: {'nm4886661'},\n",
       " 200: {'nm2282597', 'nm9970487'},\n",
       " 201: {'nm1689712'},\n",
       " 202: {'nm6249843'},\n",
       " 203: {'nm0955270'},\n",
       " 204: {'nm8684196'},\n",
       " 205: {'nm13633544'},\n",
       " 206: {'nm2647420'},\n",
       " 207: {'nm4457733'},\n",
       " 208: {'nm0804592'},\n",
       " 209: {'nm0415618'},\n",
       " 210: {'nm7920254'},\n",
       " 211: {'nm11595610'},\n",
       " 212: {'nm0001348'},\n",
       " 213: {'nm12675888'},\n",
       " 214: {'nm3852987'},\n",
       " 215: {'nm0288144', 'nm2613148'},\n",
       " 216: {'nm2035118'},\n",
       " 217: {'nm9075613'},\n",
       " 218: {'nm2507695'},\n",
       " 219: {'nm1270033'},\n",
       " 220: {'nm3220744'},\n",
       " 221: {'nm2161466'},\n",
       " 222: {'nm0366914'},\n",
       " 223: {'nm1921345'},\n",
       " 224: {'nm0381328'},\n",
       " 225: {'nm2341319'},\n",
       " 226: {'nm4368529'},\n",
       " 227: {'nm1955897'},\n",
       " 228: {'nm2795679'},\n",
       " 229: {'nm2041708'},\n",
       " 230: {'nm3837694'},\n",
       " 231: {'nm0954459'},\n",
       " 232: {'nm0576015'},\n",
       " 233: {'nm1267235'},\n",
       " 234: {'nm1976187'},\n",
       " 235: {'nm6433472'},\n",
       " 236: {'nm7472737'},\n",
       " 237: {'nm7932095'},\n",
       " 238: {'nm6064706'},\n",
       " 239: {'nm0188929'},\n",
       " 240: {'nm1660595'},\n",
       " 241: {'nm3597547'},\n",
       " 242: {'nm1339604'},\n",
       " 243: {'nm1633071', 'nm2887967'},\n",
       " 244: {'nm0563440'},\n",
       " 245: {'nm0150897', 'nm12752780', 'nm1385080'},\n",
       " 246: {'nm3270827'},\n",
       " 247: {'nm2305479'},\n",
       " 248: {'nm3163794'},\n",
       " 249: {'nm9076788'},\n",
       " 250: {'nm0716343'},\n",
       " 251: {'nm7134179'},\n",
       " 252: {'nm1070336'},\n",
       " 253: {'nm0891254'},\n",
       " 254: {'nm3003609'},\n",
       " 255: {'nm0498212'},\n",
       " 256: {'nm4092908'},\n",
       " 257: {'nm5887182'},\n",
       " 258: {'nm1488800'},\n",
       " 259: {'nm0994562'},\n",
       " 260: {'nm3701120'},\n",
       " 261: {'nm1216495'},\n",
       " 262: {'nm1216495'},\n",
       " 263: {'nm14050113'},\n",
       " 264: {'nm0207775'},\n",
       " 265: {'nm3660287'},\n",
       " 266: {'nm0716257'},\n",
       " 267: {'nm3629099'},\n",
       " 268: {'nm5589501'},\n",
       " 269: {'nm1802378'},\n",
       " 270: {'nm3888862'},\n",
       " 271: {'nm1216189'},\n",
       " 272: {'nm0735705'},\n",
       " 273: {'nm10572987'},\n",
       " 274: {'nm3035236'},\n",
       " 275: {'nm7954017'},\n",
       " 276: {'nm12073436', 'nm5657068'},\n",
       " 277: {'nm2128139'},\n",
       " 278: {'nm2815884'},\n",
       " 279: {'nm13837943'},\n",
       " 280: {'nm0482774'},\n",
       " 281: {'nm2263683'},\n",
       " 282: {'nm1492802'},\n",
       " 283: {'nm7301635'},\n",
       " 284: {'nm2189857'},\n",
       " 285: {'nm0873266'},\n",
       " 286: {'nm0142362'},\n",
       " 287: {'nm6297600'},\n",
       " 288: {'nm2342722'},\n",
       " 289: {'nm0425756'},\n",
       " 290: {'nm0757975'},\n",
       " 291: {'nm0132414'},\n",
       " 292: {'nm0310615'},\n",
       " 293: {'nm0457565'},\n",
       " 294: {'nm0444870'},\n",
       " 295: {'nm1310756'},\n",
       " 296: {'nm2373566'},\n",
       " 297: {'nm0211110', 'nm6337800'},\n",
       " 298: {'nm0946654', 'nm11541189'},\n",
       " 299: {'nm4896277'},\n",
       " 300: {'nm12933738'},\n",
       " 301: {'nm0688282'},\n",
       " 302: {'nm10981422', 'nm5995018'},\n",
       " 303: {'nm0613580'},\n",
       " 304: {'nm0847749'},\n",
       " 305: {'nm12974632'},\n",
       " 306: {'nm4106410'},\n",
       " 307: {'nm2391751'},\n",
       " 308: {'nm0001108'},\n",
       " 309: {'nm6475689'},\n",
       " 310: {'nm0899364'},\n",
       " 311: {'nm2294243'},\n",
       " 312: {'nm0849465'},\n",
       " 313: {'nm6725254'},\n",
       " 314: {'nm3213296'},\n",
       " 315: {'nm0006554'},\n",
       " 316: {'nm1550132'},\n",
       " 317: {'nm0001438'},\n",
       " 318: {'nm0446622', 'nm8615156'},\n",
       " 319: {'nm7119198', 'nm7182750'},\n",
       " 320: {'nm2393385'},\n",
       " 321: {'nm0918078'},\n",
       " 322: {'nm1892800'},\n",
       " 323: {'nm6534872'},\n",
       " 324: {'nm6157331'},\n",
       " 325: {'nm1465431'},\n",
       " 326: {'nm2620532'},\n",
       " 327: {'nm2846368'},\n",
       " 328: {'nm2315193', 'nm2423267'},\n",
       " 329: {'nm4629833'},\n",
       " 330: {'nm4161077'},\n",
       " 331: {'nm1103496'},\n",
       " 332: {'nm0001705', 'nm9776000'},\n",
       " 333: {'nm3746062'},\n",
       " 334: {'nm0366867'},\n",
       " 335: {'nm1793586', 'nm3228270'},\n",
       " 336: {'nm12039993'},\n",
       " 337: {'nm0144018',\n",
       "  'nm0178886',\n",
       "  'nm0421822',\n",
       "  'nm10640147',\n",
       "  'nm1843026',\n",
       "  'nm2046521',\n",
       "  'nm4941093',\n",
       "  'nm5594221'},\n",
       " 338: {'nm0001707'},\n",
       " 339: {'nm4733887'},\n",
       " 340: {'nm11436283'},\n",
       " 341: {'nm0131969'},\n",
       " 342: {'nm6889181'},\n",
       " 343: {'nm0545356'},\n",
       " 344: {'nm1497680'},\n",
       " 345: {'nm1908575', 'nm4223986'},\n",
       " 346: {'nm4889041'},\n",
       " 347: {'nm8616277'},\n",
       " 348: {'nm4097598'},\n",
       " 349: {'nm9980622'},\n",
       " 350: {'nm1081550'},\n",
       " 351: {'nm0128382'},\n",
       " 352: {'nm0049371'},\n",
       " 353: {'nm3752435'},\n",
       " 354: {'nm4037204'},\n",
       " 355: {'nm3887934'},\n",
       " 356: {'nm0231596'},\n",
       " 357: {'nm1199107'},\n",
       " 358: {'nm6759641'},\n",
       " 359: {'nm0846590'},\n",
       " 360: {'nm6638284'},\n",
       " 361: {'nm13076179'},\n",
       " 362: {'nm7494609'},\n",
       " 363: {'nm6337063'},\n",
       " 364: {'nm13068944', 'nm1870414'},\n",
       " 365: {'nm1230733'},\n",
       " 366: {'nm1269941'},\n",
       " 367: {'nm1128120'},\n",
       " 368: {'nm4543764'},\n",
       " 369: {'nm13007988'},\n",
       " 370: {'nm2935851'},\n",
       " 371: {'nm1580045'},\n",
       " 372: {'nm3336170'},\n",
       " 373: {'nm3016523'},\n",
       " 374: {'nm2127736'},\n",
       " 375: {'nm6817122'},\n",
       " 376: {'nm0761415'},\n",
       " 377: {'nm1801574'},\n",
       " 378: {'nm3180244'},\n",
       " 379: {'nm3464186'},\n",
       " 380: {'nm1733017'},\n",
       " 381: {'nm4895233'},\n",
       " 382: {'nm2669564'},\n",
       " 383: {'nm5518137'},\n",
       " 384: {'nm2341549'},\n",
       " 385: {'nm1210360'},\n",
       " 386: {'nm0788202'},\n",
       " 387: {'nm15415893', 'nm3797575'},\n",
       " 388: {'nm1568265'},\n",
       " 389: {'nm4589954'},\n",
       " 390: {'nm1883647'},\n",
       " 391: {'nm5735886'},\n",
       " 392: {'nm5593337'},\n",
       " 393: {'nm0054744'},\n",
       " 394: {'nm4149056'},\n",
       " 395: {'nm12881073'},\n",
       " 396: {'nm1377207'},\n",
       " 397: {'nm4672801'},\n",
       " 398: {'nm0045256', 'nm0811589'},\n",
       " 399: {'nm3965248'},\n",
       " 400: {'nm4078209'},\n",
       " 401: {'nm2127736'},\n",
       " 402: {'nm13274267'},\n",
       " 403: {'nm1470993'},\n",
       " 404: {'nm4927843'},\n",
       " 405: {'nm11976854'},\n",
       " 406: {'nm3826513'},\n",
       " 407: {'nm6294482'},\n",
       " 408: {'nm1322135'},\n",
       " 409: {'nm0596962'},\n",
       " 410: {'nm4078209'},\n",
       " 411: {'nm4068941'},\n",
       " 412: {'nm1996665'},\n",
       " 413: {'nm10988555'},\n",
       " 414: {'nm8650809'},\n",
       " 415: {'nm1039140'},\n",
       " 416: {'nm1543775'},\n",
       " 417: {'nm1413218'},\n",
       " 418: {'nm3423530'},\n",
       " 419: {'nm0443505'},\n",
       " 420: {'nm0905592'},\n",
       " 421: {'nm1729303'},\n",
       " 422: {'nm0053228'},\n",
       " 423: {'nm6694234'},\n",
       " 424: {'nm4999608'},\n",
       " 425: {'nm0065644'},\n",
       " 426: {'nm9307584'},\n",
       " 427: {'nm9886807'},\n",
       " 428: {'nm4355349', 'nm9009942'},\n",
       " 429: {'nm8578900'},\n",
       " 430: {'nm3439604'},\n",
       " 431: {'nm12073523', 'nm13312702'},\n",
       " 432: {'nm1926903'},\n",
       " 433: {'nm3626376'},\n",
       " 434: {'nm13314449'},\n",
       " 435: {'nm4396982'},\n",
       " 436: {'nm0671210'},\n",
       " 437: {'nm4772581'},\n",
       " 438: {'nm0393254'},\n",
       " 439: {'nm0470514'},\n",
       " 440: {'nm1761677'},\n",
       " 441: {'nm5370875'},\n",
       " 442: {'nm2543377'},\n",
       " 443: {'nm0573732'},\n",
       " 444: {'nm1416174', 'nm3347284'},\n",
       " 445: {'nm0504357', 'nm1911579'},\n",
       " 446: {'nm1519363'},\n",
       " 447: {'nm9362954'},\n",
       " 448: {'nm2621812'},\n",
       " 449: {'nm2013928'},\n",
       " 450: {'nm8001323'},\n",
       " 451: {'nm2404558'},\n",
       " 452: {'nm8289742'},\n",
       " 453: {'nm8027583'},\n",
       " 454: {'nm0000116'},\n",
       " 455: {'nm1918877'},\n",
       " 456: {'nm3372295'},\n",
       " 457: {'nm5832793'},\n",
       " 458: {'nm2790991'},\n",
       " 459: {'nm1340738'},\n",
       " 460: {'nm2045250'},\n",
       " 461: {'nm6250496'},\n",
       " 462: {'nm0751577', 'nm0751648'},\n",
       " 463: {'nm1760759'},\n",
       " 464: {'nm6458915'},\n",
       " 465: {'nm3563067'},\n",
       " 466: {'nm0782213'},\n",
       " 467: {'nm5282122'},\n",
       " 468: {'nm0231596'},\n",
       " 469: {'nm1319852'},\n",
       " 470: {'nm0920227'},\n",
       " 471: {'nm1439346'},\n",
       " 472: {'nm2815252'},\n",
       " 473: {'nm10398220'},\n",
       " 474: {'nm0005171'},\n",
       " 475: {'nm5709298'},\n",
       " 476: {'nm6142895'},\n",
       " 477: {'nm0138759'},\n",
       " 478: {'nm1396121'},\n",
       " 479: {'nm11068068'},\n",
       " 480: {'nm5706837'},\n",
       " 481: {'nm0656065'},\n",
       " 482: {'nm1309421'},\n",
       " 483: {'nm1733778'},\n",
       " 484: {'nm0765225'},\n",
       " 485: {'nm3679527'},\n",
       " 486: {'nm1641306'},\n",
       " 487: {'nm4911735'},\n",
       " 488: {'nm0640323'},\n",
       " 489: {'nm1067987'},\n",
       " 490: {'nm2148234'},\n",
       " 491: {'nm3322506'},\n",
       " 492: {'nm1354965'},\n",
       " 493: {'nm5039000'},\n",
       " 494: {'nm3163495'},\n",
       " 495: {'nm3019115'},\n",
       " 496: {'nm0000269'},\n",
       " 497: {'nm0000165'},\n",
       " 498: {'nm0378932'},\n",
       " 499: {'nm0501435'},\n",
       " 500: {'nm0766263'},\n",
       " 501: {'nm3400134'},\n",
       " 502: {'nm9644958'},\n",
       " 503: {'nm2563050'},\n",
       " 504: {'nm1593802'},\n",
       " 505: {'nm8015244'},\n",
       " 506: {'nm0950620'},\n",
       " 507: {'nm0500610'},\n",
       " 508: {'nm6826585'},\n",
       " 509: {'nm4179869'},\n",
       " 510: {'nm3249706'},\n",
       " 511: {'nm1966532'},\n",
       " 512: {'nm2071556'},\n",
       " 513: {'nm3515746'},\n",
       " 514: {'nm0823721', 'nm2588135'},\n",
       " 515: {'nm0298807'},\n",
       " 516: {'nm1028093'},\n",
       " 517: {'nm0661791'},\n",
       " 518: {'nm2799174'},\n",
       " 519: {'nm5366274'},\n",
       " 520: {'nm5349451'},\n",
       " 521: {'nm2409176', 'nm4932870'},\n",
       " 522: {'nm11441530', 'nm7834233'},\n",
       " 523: {'nm0281945'},\n",
       " 524: {'nm4468952'},\n",
       " 525: {'nm0942876'},\n",
       " 526: {'nm0369686'},\n",
       " 527: {'nm0451155'},\n",
       " 528: {'nm0870469'},\n",
       " 529: {'nm2862844'},\n",
       " 530: {'nm3151107'},\n",
       " 531: {'nm0068587'},\n",
       " 532: {'nm0006395'},\n",
       " 533: {'nm0537550'},\n",
       " 534: {'nm0132709'},\n",
       " 535: {'nm2282844'},\n",
       " 536: {'nm3427032'},\n",
       " 537: {'nm10918075'},\n",
       " 538: {'nm2467058', 'nm4500258'},\n",
       " 539: {'nm2482088'},\n",
       " 540: {'nm0813164'},\n",
       " 541: {'nm7397878'},\n",
       " 542: {'nm0251986'},\n",
       " 543: {'nm3442324'},\n",
       " 544: {'nm1672561'},\n",
       " 545: {'nm4756885'},\n",
       " 546: {'nm4093647'},\n",
       " 547: {'nm3013234'},\n",
       " 548: {'nm8646351'},\n",
       " 549: {'nm1887138'},\n",
       " 550: {'nm1001232'},\n",
       " 551: {'nm0225010'},\n",
       " 552: {'nm1145983'},\n",
       " 553: {'nm0151540'},\n",
       " 554: {'nm1789992'},\n",
       " 555: {'nm2800717'},\n",
       " 556: {'nm2402050'},\n",
       " 557: {'nm10466813'},\n",
       " 558: {'nm3334279'},\n",
       " 559: {'nm9649026'},\n",
       " 560: {'nm1505856'},\n",
       " 561: {'nm3838717'},\n",
       " 562: {'nm1966841'},\n",
       " 563: {'nm1189197'},\n",
       " 564: {'nm0334787'},\n",
       " 565: {'nm2566836', 'nm2575525'},\n",
       " 566: {'nm1001345'},\n",
       " 567: {'nm7384184'},\n",
       " 568: {'nm0851752'},\n",
       " 569: {'nm1266566'},\n",
       " 570: {'nm0576732'},\n",
       " 571: {'nm1017470'},\n",
       " 572: {'nm2500541'},\n",
       " 573: {'nm3951225'},\n",
       " 574: {'nm2038130'},\n",
       " 575: {'nm0466153'},\n",
       " 576: {'nm0822597'},\n",
       " 577: {'nm0459732'},\n",
       " 578: {'nm0675102'},\n",
       " 579: {'nm6236953'},\n",
       " 580: {'nm2873161'},\n",
       " 581: {'nm0225109'},\n",
       " 582: {'nm4752017'},\n",
       " 583: {'nm0466349'},\n",
       " 584: {'nm6995804'},\n",
       " 585: {'nm5027657'},\n",
       " 586: {'nm1333798'},\n",
       " 587: {'nm10366114'},\n",
       " 588: {'nm1890752'},\n",
       " 589: {'nm8509498'},\n",
       " 590: {'nm1771279'},\n",
       " 591: {'nm0256542'},\n",
       " 592: {'nm2973729'},\n",
       " 593: {'nm0057842'},\n",
       " 594: {'nm0225010'},\n",
       " 595: {'nm11780162'},\n",
       " 596: {'nm3775523'},\n",
       " 597: {'nm3229654', 'nm3234892'},\n",
       " 598: {'nm0523363'},\n",
       " 599: {'nm3907840'},\n",
       " 600: {'nm0288758'},\n",
       " 601: {'nm0931724'},\n",
       " 602: {'nm2399862'},\n",
       " 603: {'nm11753026'},\n",
       " 604: {'nm11530855'},\n",
       " 605: {'nm6085179'},\n",
       " 606: {'nm0871188'},\n",
       " 607: {'nm3599485'},\n",
       " 608: {'nm0609549'},\n",
       " 609: {'nm0564680'},\n",
       " 610: {'nm1027519'},\n",
       " 611: {'nm9491634', 'nm9496779', 'nm9689938'},\n",
       " 612: {'nm8274294'},\n",
       " 613: {'nm0636940'},\n",
       " 614: {'nm0187740'},\n",
       " 615: {'nm8283666'},\n",
       " 616: {'nm5880364'},\n",
       " 617: {'nm3241039'},\n",
       " 618: {'nm2366197'},\n",
       " 619: {'nm0796124'},\n",
       " 620: {'nm1372836', 'nm1705578'},\n",
       " 621: {'nm6786064'},\n",
       " 622: {'nm1673520'},\n",
       " 623: {'nm0359387'},\n",
       " 624: {'nm2043863'},\n",
       " 625: {'nm3701612'},\n",
       " 626: {'nm1732981'},\n",
       " 627: {'nm1085270'},\n",
       " 628: {'nm4029254'},\n",
       " 629: {'nm1312575'},\n",
       " 630: {'nm2420502'},\n",
       " 631: {'nm0711745', 'nm7676450'},\n",
       " 632: {'nm2260872'},\n",
       " 633: {'nm6073824'},\n",
       " 634: {'nm0119541'},\n",
       " 635: {'nm1287649'},\n",
       " 636: {'nm4562295'},\n",
       " 637: {'nm8546743'},\n",
       " 638: {'nm6736610'},\n",
       " 639: {'nm0337773'},\n",
       " 640: {'nm0169806'},\n",
       " 641: {'nm1739317'},\n",
       " 642: {'nm0134396'},\n",
       " 643: {'nm3210041', 'nm3255161'},\n",
       " 644: {'nm10793545'},\n",
       " 645: {'nm3155454'},\n",
       " 646: {'nm2593537'},\n",
       " 647: {'nm4204065', 'nm5238372'},\n",
       " 648: {'nm1211888'},\n",
       " 649: {'nm0706615'},\n",
       " 650: {'nm2439708'},\n",
       " 651: {'nm0383688', 'nm1688972'},\n",
       " 652: {'nm0000783'},\n",
       " 653: {'nm2934741'},\n",
       " 654: {'nm7725115'},\n",
       " 655: {'nm2748276', 'nm5469139'},\n",
       " 656: {'nm9409111'},\n",
       " 657: {'nm1890845'},\n",
       " 658: {'nm5402280'},\n",
       " 659: {'nm1443502'},\n",
       " 660: {'nm0080524'},\n",
       " 661: {'nm2762302'},\n",
       " 662: {'nm3220732'},\n",
       " 663: {'nm10969193'},\n",
       " 664: {'nm2347564'},\n",
       " 665: {'nm0637259'},\n",
       " 666: {'nm1892252'},\n",
       " 667: {'nm1926494'},\n",
       " 668: {'nm6474441'},\n",
       " 669: {'nm5210422'},\n",
       " 670: {'nm0009016'},\n",
       " 671: {'nm0312881', 'nm3154064'},\n",
       " 672: {'nm0836784'},\n",
       " 673: {'nm0074163'},\n",
       " 674: {'nm0364963'},\n",
       " 675: {'nm4836670'},\n",
       " 676: {'nm3034280'},\n",
       " 677: {'nm0192478'},\n",
       " 678: {'nm1595718'},\n",
       " 679: {'nm10244091'},\n",
       " 680: {'nm0345174'},\n",
       " 681: {'nm0020491'},\n",
       " 682: {'nm0142286'},\n",
       " 683: {'nm2538739'},\n",
       " 684: {'nm0080220'},\n",
       " 685: {'nm2378914'},\n",
       " 686: {'nm6136445'},\n",
       " 687: {'nm1410159'},\n",
       " 688: {'nm0329023'},\n",
       " 689: {'nm0268380'},\n",
       " 690: {'nm0550875'},\n",
       " 691: {'nm0358327'},\n",
       " 692: {'nm2063982'},\n",
       " 693: {'nm2093171'},\n",
       " 694: {'nm2717602'},\n",
       " 695: {'nm2326407', 'nm5516767'},\n",
       " 696: {'nm1276348', 'nm1319618'},\n",
       " 697: {'nm3611879'},\n",
       " 698: {'nm4060519'},\n",
       " 699: {'nm4299582'},\n",
       " 700: {'nm0219136'},\n",
       " 701: {'nm1667095'},\n",
       " 702: {'nm0336695'},\n",
       " 703: {'nm13568776'},\n",
       " 704: {'nm1500658'},\n",
       " 705: {'nm0757975'},\n",
       " 706: {'nm0624705'},\n",
       " 707: {'nm2693238'},\n",
       " 708: {'nm0751102'},\n",
       " 709: {'nm2320658', 'nm5945690'},\n",
       " 710: {'nm0533691'},\n",
       " 711: {'nm0784008'},\n",
       " 712: {'nm1928263', 'nm5904533'},\n",
       " 713: {'nm0906413'},\n",
       " 714: {'nm7112708'},\n",
       " 715: {'nm5464740'},\n",
       " 716: {'nm2835452'},\n",
       " 717: {'nm1519253'},\n",
       " 718: {'nm11141978'},\n",
       " 719: {'nm3961347'},\n",
       " 720: {'nm3413681'},\n",
       " 721: {'nm1187064'},\n",
       " 722: {'nm1109931'},\n",
       " 723: {'nm5100377'},\n",
       " 724: {'nm4899218'},\n",
       " 725: {'nm2016267'},\n",
       " 726: {'nm0636940'},\n",
       " 727: {'nm11226131', 'nm1504071'},\n",
       " 728: {'nm0692039'},\n",
       " 729: {'nm0222426'},\n",
       " 730: {'nm0735134'},\n",
       " 731: {'nm0196134', 'nm0735134'},\n",
       " 732: {'nm0223359'},\n",
       " 733: {'nm2146368'},\n",
       " 734: {'nm0756935'},\n",
       " 735: {'nm0426059'},\n",
       " 736: {'nm5793886'},\n",
       " 737: {'nm0156977'},\n",
       " 738: {'nm2596725'},\n",
       " 739: {'nm8678191'},\n",
       " 740: {'nm2501633'},\n",
       " 741: {'nm5582325'},\n",
       " 742: {'nm0193508'},\n",
       " 743: {'nm0046469', 'nm2808505', 'nm2809195', 'nm3548166'},\n",
       " 744: {'nm1985490'},\n",
       " 745: {'nm0957169'},\n",
       " 746: {'nm1310861'},\n",
       " 747: {'nm0400850'},\n",
       " 748: {'nm0347492'},\n",
       " 749: {'nm0004082'},\n",
       " 750: {'nm2913384'},\n",
       " 751: {'nm3154756'},\n",
       " 752: {'nm1306443'},\n",
       " 753: {'nm2276864'},\n",
       " 754: {'nm0449299', 'nm2782402'},\n",
       " 755: {'nm3424898'},\n",
       " 756: {'nm2705923'},\n",
       " 757: {'nm0652300'},\n",
       " 758: {'nm0775056'},\n",
       " 759: {'nm1957822', 'nm5008549'},\n",
       " 760: {'nm0540220'},\n",
       " 761: {'nm2644574'},\n",
       " 762: {'nm0648473'},\n",
       " 763: {'nm3211470'},\n",
       " 764: {'nm0003620'},\n",
       " 765: {'nm1012385'},\n",
       " 766: {'nm2876242'},\n",
       " 767: {'nm1460159'},\n",
       " 768: {'nm1895361'},\n",
       " 769: {'nm0973735'},\n",
       " 770: {'nm11049191'},\n",
       " 771: {'nm3431239'},\n",
       " 772: {'nm0131235'},\n",
       " 773: {'nm4409205'},\n",
       " 774: {'nm1932690'},\n",
       " 775: {'nm0142286'},\n",
       " 776: {'nm0234506'},\n",
       " 777: {'nm5675000'},\n",
       " 778: {'nm2616669'},\n",
       " 779: {'nm3436850'},\n",
       " 780: {'nm12135964'},\n",
       " 781: {'nm2366012', 'nm2419470'},\n",
       " 782: {'nm3230448'},\n",
       " 783: {'nm8302936'},\n",
       " 784: {'nm0002240'},\n",
       " 785: {'nm2075313'},\n",
       " 786: {'nm7544585'},\n",
       " 787: {'nm1475594', 'nm1730221'},\n",
       " 788: {'nm0973907'},\n",
       " 789: {'nm1519639', 'nm1887480'},\n",
       " 790: {'nm1349376'},\n",
       " 791: {'nm7441188'},\n",
       " 792: {'nm0089033'},\n",
       " 793: {'nm4962035'},\n",
       " 794: {'nm2253409'},\n",
       " 795: {'nm2470867'},\n",
       " 796: {'nm1725469'},\n",
       " 797: {'nm0049592'},\n",
       " 798: {'nm5649607'},\n",
       " 799: {'nm0276062'},\n",
       " 800: {'nm6793979'},\n",
       " 801: {'nm5958791'},\n",
       " 802: {'nm1119099'},\n",
       " 803: {'nm0000343'},\n",
       " 804: {'nm0699764'},\n",
       " 805: {'nm1267707'},\n",
       " 806: {'nm9158938'},\n",
       " 807: {'nm2531261'},\n",
       " 808: {'nm0517589'},\n",
       " 809: {'nm0349484'},\n",
       " 810: {'nm2134474'},\n",
       " 811: {'nm4374531'},\n",
       " 812: {'nm0210101'},\n",
       " 813: {'nm0388505'},\n",
       " 814: {'nm7410448'},\n",
       " 815: {'nm1393967'},\n",
       " 816: {'nm2510944', 'nm4396873'},\n",
       " 817: {'nm0003116'},\n",
       " 818: {'nm10466813'},\n",
       " 819: {'nm1477692'},\n",
       " 820: {'nm5619257'},\n",
       " 821: {'nm0357453'},\n",
       " 822: {'nm2739941'},\n",
       " 823: {'nm0846369'},\n",
       " 824: {'nm0270099'},\n",
       " 825: {'nm2467058', 'nm4500258'},\n",
       " 826: {'nm5451986'},\n",
       " 827: {'nm2128244', 'nm3214677'},\n",
       " 828: {'nm1761677'},\n",
       " 829: {'nm2754122'},\n",
       " 830: {'nm0284744'},\n",
       " 831: {'nm0000229'},\n",
       " 832: {'nm1347153'},\n",
       " 833: {'nm0371890'},\n",
       " 834: {'nm2265822'},\n",
       " 835: {'nm5090040'},\n",
       " 836: {'nm0960495'},\n",
       " 837: {'nm0005222'},\n",
       " 838: {'nm1162577'},\n",
       " 839: {'nm4998490'},\n",
       " 840: {'nm4323708'},\n",
       " 841: {'nm0166438'},\n",
       " 842: {'nm1754483'},\n",
       " 843: {'nm1357855'},\n",
       " 844: {'nm0654830'},\n",
       " 845: {'nm1051221'},\n",
       " 846: {'nm3632094'},\n",
       " 847: {'nm7159655'},\n",
       " 848: {'nm7102845'},\n",
       " 849: {'nm9304112'},\n",
       " 850: {'nm0957772'},\n",
       " 851: {'nm0609981'},\n",
       " 852: {'nm0505642'},\n",
       " 853: {'nm3313606'},\n",
       " 854: {'nm3409161'},\n",
       " 855: {'nm2040537'},\n",
       " 856: {'nm0791723'},\n",
       " 857: {'nm1347153'},\n",
       " 858: {'nm0553662'},\n",
       " 859: {'nm4694008'},\n",
       " 860: {'nm1918877'},\n",
       " 861: {'nm4583752'},\n",
       " 862: {'nm3133017'},\n",
       " 863: {'nm0343903'},\n",
       " 864: {'nm12626864'},\n",
       " 865: {'nm2088446'},\n",
       " 866: {'nm10730985'},\n",
       " 867: {'nm1714788'},\n",
       " 868: {'nm0001353'},\n",
       " 869: {'nm1060986'},\n",
       " 870: {'nm4991744'},\n",
       " 871: {'nm4832001'},\n",
       " 872: {'nm3773806', 'nm9353749'},\n",
       " 873: {'nm1411972'},\n",
       " 874: {'nm3773770'},\n",
       " 875: {'nm1823264', 'nm1918140'},\n",
       " 876: {'nm0348993', 'nm0868219'},\n",
       " 877: {'nm5151022'},\n",
       " 878: {'nm5905770'},\n",
       " 879: {'nm0882997'},\n",
       " 880: {'nm5827815'},\n",
       " 881: {'nm0226151'},\n",
       " 882: {'nm1098160'},\n",
       " 883: {'nm2270935'},\n",
       " 884: {'nm3359084'},\n",
       " 885: {'nm2051728'},\n",
       " 886: {'nm0221611'},\n",
       " 887: {'nm0629728'},\n",
       " 888: {'nm1815188'},\n",
       " 889: {'nm0507425'},\n",
       " 890: {'nm8093993'},\n",
       " 891: {'nm10429652'},\n",
       " 892: {'nm1416190'},\n",
       " 893: {'nm1337885'},\n",
       " 894: {'nm0867784'},\n",
       " 895: {'nm0886976', 'nm1631468'},\n",
       " 896: {'nm3057695', 'nm8451296'},\n",
       " 897: {'nm0614880'},\n",
       " 898: {'nm0005017'},\n",
       " 899: {'nm0973835'},\n",
       " 900: {'nm0476956'},\n",
       " 901: {'nm0002167'},\n",
       " 902: {'nm0537410', 'nm0932302'},\n",
       " 903: {'nm0102873'},\n",
       " 904: {'nm1346713'},\n",
       " 905: {'nm0425364'},\n",
       " 906: {'nm0078943'},\n",
       " 907: {'nm0000128'},\n",
       " 908: {'nm8758198'},\n",
       " 909: {'nm0281508'},\n",
       " 910: {'nm1671063'},\n",
       " 911: {'nm0330347', 'nm0817447'},\n",
       " 912: {'nm1014959'},\n",
       " 913: {'nm0540176'},\n",
       " 914: {'nm3038856'},\n",
       " 915: {'nm0751080'},\n",
       " 916: {'nm2312933'},\n",
       " 917: {'nm1169549',\n",
       "  'nm11991307',\n",
       "  'nm12395960',\n",
       "  'nm2408773',\n",
       "  'nm2758566',\n",
       "  'nm3749687',\n",
       "  'nm4054708',\n",
       "  'nm4092799',\n",
       "  'nm5427467',\n",
       "  'nm6168104',\n",
       "  'nm9689544'},\n",
       " 918: {'nm4209533'},\n",
       " 919: {'nm2637625'},\n",
       " 920: {'nm4209533'},\n",
       " 921: {'nm0791381'},\n",
       " 922: {'nm3656210'},\n",
       " 923: {'nm11057512'},\n",
       " 924: {'nm3437361'},\n",
       " 925: {'nm0232561', 'nm3934188'},\n",
       " 926: {'nm0838289'},\n",
       " 927: {'nm0200402', 'nm4127778'},\n",
       " 928: {'nm5938403', 'nm8908039'},\n",
       " 929: {'nm3260569'},\n",
       " 930: {'nm1899656'},\n",
       " 931: {'nm0170030'},\n",
       " 932: {'nm0031976'},\n",
       " 933: {'nm0504642'},\n",
       " 934: {'nm6428180', 'nm6428181'},\n",
       " 935: {'nm1020877'},\n",
       " 936: {'nm0409791'},\n",
       " 937: {'nm6875639'},\n",
       " 938: {'nm6427447'},\n",
       " 939: {'nm1990034'},\n",
       " 940: {'nm4219902'},\n",
       " 941: {'nm1815188'},\n",
       " 942: {'nm2247200'},\n",
       " 943: {'nm4320125'},\n",
       " 944: {'nm0309456'},\n",
       " 945: {'nm0001631'},\n",
       " 946: {'nm1028742'},\n",
       " 947: {'nm6649966'},\n",
       " 948: {'nm4975337'},\n",
       " 949: {'nm4244841'},\n",
       " 950: {'nm4138474'},\n",
       " 951: {'nm0528963'},\n",
       " 952: {'nm5098915'},\n",
       " 953: {'nm1705857'},\n",
       " 954: {'nm3531089'},\n",
       " 955: {'nm0001241'},\n",
       " 956: {'nm2616669'},\n",
       " 957: {'nm6470216'},\n",
       " 958: {'nm2791904'},\n",
       " 959: {'nm2580012'},\n",
       " 960: {'nm0056725'},\n",
       " 961: {'nm2384379'},\n",
       " 962: {'nm1170520'},\n",
       " 963: {'nm0639297'},\n",
       " 964: {'nm1641519'},\n",
       " 965: {'nm3066492'},\n",
       " 966: {'nm8706551'},\n",
       " 967: {'nm1381100'},\n",
       " 968: {'nm1488800'},\n",
       " 969: {'nm1459601'},\n",
       " 970: {'nm3123799'},\n",
       " 971: {'nm0219136'},\n",
       " 972: {'nm3075101'},\n",
       " 973: {'nm0458251'},\n",
       " 974: {'nm0721707'},\n",
       " 975: {'nm6303173'},\n",
       " 976: {'nm2806693'},\n",
       " 977: {'nm3262433'},\n",
       " 978: {'nm0718630'},\n",
       " 979: {'nm0361135'},\n",
       " 980: {'nm5709155'},\n",
       " 981: {'nm0130714'},\n",
       " 982: {'nm0551076'},\n",
       " 983: {'nm1031246'},\n",
       " 984: {'nm2331305'},\n",
       " 985: {'nm5386710'},\n",
       " 986: {'nm3591033'},\n",
       " 987: {'nm1454995'},\n",
       " 988: {'nm7051006'},\n",
       " 989: {'nm1828395', 'nm2902621'},\n",
       " 990: {'nm0001752'},\n",
       " 991: {'nm3608011'},\n",
       " 992: {'nm1993322'},\n",
       " 993: {'nm4500258'},\n",
       " 994: {'nm4352422'},\n",
       " 995: {'nm2441699'},\n",
       " 996: {'nm0441099'},\n",
       " 997: {'nm1257352'},\n",
       " 998: {'nm0662530'},\n",
       " 999: {'nm1980444'},\n",
       " ...}"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_directors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 24454)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directors_edge_index.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('directors_edge_index.npy', directors_edge_index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 처리한 feature를 병합하여 최종 feature 생성"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_metadata_with_overview_ver5_0511 = pd.read_excel('final_metadata_with_overview_embeddings_ver5_0511.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>embedding_0</th>\n",
       "      <th>embedding_1</th>\n",
       "      <th>embedding_2</th>\n",
       "      <th>embedding_3</th>\n",
       "      <th>embedding_4</th>\n",
       "      <th>embedding_5</th>\n",
       "      <th>embedding_6</th>\n",
       "      <th>embedding_7</th>\n",
       "      <th>embedding_8</th>\n",
       "      <th>embedding_9</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
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       "      <td>0.012412</td>\n",
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       "      <td>0.021079</td>\n",
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       "      <td>0.030748</td>\n",
       "      <td>0.013544</td>\n",
       "      <td>0.028924</td>\n",
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       "      <td>0.016458</td>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.050298</td>\n",
       "      <td>0.037739</td>\n",
       "      <td>-0.076090</td>\n",
       "      <td>-0.010432</td>\n",
       "      <td>-0.058701</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>0.035267</td>\n",
       "      <td>-0.023228</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000512</td>\n",
       "      <td>0.051461</td>\n",
       "      <td>0.047161</td>\n",
       "      <td>0.085658</td>\n",
       "      <td>-0.048483</td>\n",
       "      <td>0.002269</td>\n",
       "      <td>-0.012865</td>\n",
       "      <td>-0.063385</td>\n",
       "      <td>0.094378</td>\n",
       "      <td>-0.048332</td>\n",
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       "      <td>-0.034701</td>\n",
       "      <td>-0.008065</td>\n",
       "      <td>-0.024117</td>\n",
       "      <td>-0.003312</td>\n",
       "      <td>0.038821</td>\n",
       "      <td>-0.030186</td>\n",
       "      <td>0.019926</td>\n",
       "      <td>0.074339</td>\n",
       "      <td>-0.018989</td>\n",
       "      <td>0.055851</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.007790</td>\n",
       "      <td>0.000841</td>\n",
       "      <td>-0.071738</td>\n",
       "      <td>-0.024823</td>\n",
       "      <td>0.047090</td>\n",
       "      <td>-0.004854</td>\n",
       "      <td>0.121953</td>\n",
       "      <td>-0.044701</td>\n",
       "      <td>-0.017652</td>\n",
       "      <td>-0.002489</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>-0.049932</td>\n",
       "      <td>-0.121888</td>\n",
       "      <td>-0.054388</td>\n",
       "      <td>-0.020564</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>0.021484</td>\n",
       "      <td>0.052849</td>\n",
       "      <td>0.035944</td>\n",
       "      <td>0.025606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.071939</td>\n",
       "      <td>0.033576</td>\n",
       "      <td>0.000580</td>\n",
       "      <td>0.027234</td>\n",
       "      <td>0.008778</td>\n",
       "      <td>-0.042848</td>\n",
       "      <td>-0.019635</td>\n",
       "      <td>-0.067138</td>\n",
       "      <td>0.043785</td>\n",
       "      <td>-0.036617</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051392</td>\n",
       "      <td>-0.002096</td>\n",
       "      <td>0.044035</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.044593</td>\n",
       "      <td>-0.032423</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.020807</td>\n",
       "      <td>0.021268</td>\n",
       "      <td>0.008938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.114945</td>\n",
       "      <td>0.066293</td>\n",
       "      <td>-0.057027</td>\n",
       "      <td>-0.014922</td>\n",
       "      <td>-0.038539</td>\n",
       "      <td>0.051438</td>\n",
       "      <td>0.084544</td>\n",
       "      <td>-0.016301</td>\n",
       "      <td>-0.007758</td>\n",
       "      <td>0.026670</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041042</td>\n",
       "      <td>-0.039577</td>\n",
       "      <td>0.034051</td>\n",
       "      <td>0.041895</td>\n",
       "      <td>-0.132000</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.089292</td>\n",
       "      <td>-0.132800</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.006363</td>\n",
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       "      <th>...</th>\n",
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       "      <td>0.041358</td>\n",
       "      <td>-0.064872</td>\n",
       "      <td>0.085917</td>\n",
       "      <td>-0.005419</td>\n",
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       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
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       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>0.080072</td>\n",
       "      <td>0.084541</td>\n",
       "      <td>0.012166</td>\n",
       "      <td>0.026970</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>-0.001980</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>-0.129143</td>\n",
       "      <td>-0.124479</td>\n",
       "      <td>-0.002060</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029271</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
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       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
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       "      <th>9522</th>\n",
       "      <td>-0.038122</td>\n",
       "      <td>-0.025018</td>\n",
       "      <td>0.113269</td>\n",
       "      <td>-0.004511</td>\n",
       "      <td>0.062075</td>\n",
       "      <td>0.055934</td>\n",
       "      <td>0.055038</td>\n",
       "      <td>-0.047805</td>\n",
       "      <td>0.043764</td>\n",
       "      <td>-0.040496</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018064</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
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       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>-0.012362</td>\n",
       "      <td>-0.004797</td>\n",
       "      <td>-0.024310</td>\n",
       "      <td>-0.038956</td>\n",
       "      <td>-0.078531</td>\n",
       "      <td>-0.033533</td>\n",
       "      <td>0.097009</td>\n",
       "      <td>-0.011524</td>\n",
       "      <td>-0.002285</td>\n",
       "      <td>-0.075233</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047176</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
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       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>-0.039963</td>\n",
       "      <td>0.055371</td>\n",
       "      <td>-0.005465</td>\n",
       "      <td>0.020404</td>\n",
       "      <td>0.010991</td>\n",
       "      <td>-0.021599</td>\n",
       "      <td>0.067804</td>\n",
       "      <td>-0.110067</td>\n",
       "      <td>-0.028278</td>\n",
       "      <td>0.077106</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026308</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>9525 rows × 384 columns</p>\n",
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      ],
      "text/plain": [
       "      embedding_0  embedding_1  embedding_2  embedding_3  embedding_4  \\\n",
       "0       -0.028669    -0.043193    -0.002602     0.012412    -0.016138   \n",
       "1        0.000512     0.051461     0.047161     0.085658    -0.048483   \n",
       "2        0.007790     0.000841    -0.071738    -0.024823     0.047090   \n",
       "3       -0.071939     0.033576     0.000580     0.027234     0.008778   \n",
       "4       -0.114945     0.066293    -0.057027    -0.014922    -0.038539   \n",
       "...           ...          ...          ...          ...          ...   \n",
       "9520    -0.055011    -0.074595     0.001815    -0.038516    -0.074756   \n",
       "9521     0.080072     0.084541     0.012166     0.026970     0.019227   \n",
       "9522    -0.038122    -0.025018     0.113269    -0.004511     0.062075   \n",
       "9523    -0.012362    -0.004797    -0.024310    -0.038956    -0.078531   \n",
       "9524    -0.039963     0.055371    -0.005465     0.020404     0.010991   \n",
       "\n",
       "      embedding_5  embedding_6  embedding_7  embedding_8  embedding_9  ...  \\\n",
       "0        0.021079     0.053611     0.030748     0.013544     0.028924  ...   \n",
       "1        0.002269    -0.012865    -0.063385     0.094378    -0.048332  ...   \n",
       "2       -0.004854     0.121953    -0.044701    -0.017652    -0.002489  ...   \n",
       "3       -0.042848    -0.019635    -0.067138     0.043785    -0.036617  ...   \n",
       "4        0.051438     0.084544    -0.016301    -0.007758     0.026670  ...   \n",
       "...           ...          ...          ...          ...          ...  ...   \n",
       "9520     0.052812     0.041358    -0.064872     0.085917    -0.005419  ...   \n",
       "9521    -0.001980    -0.008999    -0.129143    -0.124479    -0.002060  ...   \n",
       "9522     0.055934     0.055038    -0.047805     0.043764    -0.040496  ...   \n",
       "9523    -0.033533     0.097009    -0.011524    -0.002285    -0.075233  ...   \n",
       "9524    -0.021599     0.067804    -0.110067    -0.028278     0.077106  ...   \n",
       "\n",
       "      embedding_374  embedding_375  embedding_376  embedding_377  \\\n",
       "0          0.016458      -0.023006      -0.050298       0.037739   \n",
       "1         -0.034701      -0.008065      -0.024117      -0.003312   \n",
       "2          0.003738      -0.049932      -0.121888      -0.054388   \n",
       "3          0.051392      -0.002096       0.044035       0.059909   \n",
       "4          0.041042      -0.039577       0.034051       0.041895   \n",
       "...             ...            ...            ...            ...   \n",
       "9520      -0.052198      -0.056215      -0.065513       0.068392   \n",
       "9521       0.029271      -0.052846       0.032112       0.051352   \n",
       "9522       0.018064      -0.050176      -0.045593       0.036943   \n",
       "9523      -0.047176      -0.100745       0.056739       0.063528   \n",
       "9524       0.026308      -0.031079       0.015309       0.108602   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "0         -0.076090      -0.010432      -0.058701       0.017649   \n",
       "1          0.038821      -0.030186       0.019926       0.074339   \n",
       "2         -0.020564       0.050116       0.021484       0.052849   \n",
       "3         -0.044593      -0.032423       0.081002       0.020807   \n",
       "4         -0.132000      -0.051895       0.089292      -0.132800   \n",
       "...             ...            ...            ...            ...   \n",
       "9520       0.040504      -0.013506      -0.068042       0.001189   \n",
       "9521      -0.038684      -0.013877       0.074433      -0.020061   \n",
       "9522      -0.046362      -0.033189      -0.061279      -0.036766   \n",
       "9523      -0.031887      -0.028223      -0.002628      -0.041470   \n",
       "9524      -0.053923       0.095502       0.000965      -0.005393   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "0          0.035267      -0.023228  \n",
       "1         -0.018989       0.055851  \n",
       "2          0.035944       0.025606  \n",
       "3          0.021268       0.008938  \n",
       "4         -0.011520      -0.006363  \n",
       "...             ...            ...  \n",
       "9520      -0.021429      -0.103460  \n",
       "9521      -0.008468       0.026134  \n",
       "9522       0.073398      -0.105024  \n",
       "9523       0.026425       0.023838  \n",
       "9524      -0.005323      -0.025500  \n",
       "\n",
       "[9525 rows x 384 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_metadata_with_overview.iloc[:, -384:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>actor_pca_8</th>\n",
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       "      <td>-0.653399</td>\n",
       "      <td>0.235320</td>\n",
       "      <td>0.028726</td>\n",
       "      <td>0.026293</td>\n",
       "      <td>-0.005750</td>\n",
       "      <td>-0.035638</td>\n",
       "      <td>-0.048198</td>\n",
       "      <td>-0.019779</td>\n",
       "      <td>0.024036</td>\n",
       "      <td>-0.141573</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016458</td>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.050298</td>\n",
       "      <td>0.037739</td>\n",
       "      <td>-0.076090</td>\n",
       "      <td>-0.010432</td>\n",
       "      <td>-0.058701</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>0.035267</td>\n",
       "      <td>-0.023228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.636739</td>\n",
       "      <td>1.332856</td>\n",
       "      <td>0.163282</td>\n",
       "      <td>0.364476</td>\n",
       "      <td>0.099444</td>\n",
       "      <td>-0.295275</td>\n",
       "      <td>-0.003150</td>\n",
       "      <td>0.230455</td>\n",
       "      <td>0.629977</td>\n",
       "      <td>-0.133533</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034701</td>\n",
       "      <td>-0.008065</td>\n",
       "      <td>-0.024117</td>\n",
       "      <td>-0.003312</td>\n",
       "      <td>0.038821</td>\n",
       "      <td>-0.030186</td>\n",
       "      <td>0.019926</td>\n",
       "      <td>0.074339</td>\n",
       "      <td>-0.018989</td>\n",
       "      <td>0.055851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.309362</td>\n",
       "      <td>-1.284345</td>\n",
       "      <td>-0.015686</td>\n",
       "      <td>-0.010575</td>\n",
       "      <td>-0.004841</td>\n",
       "      <td>-0.000195</td>\n",
       "      <td>-0.009215</td>\n",
       "      <td>-0.004786</td>\n",
       "      <td>-0.000929</td>\n",
       "      <td>-0.005409</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>-0.049932</td>\n",
       "      <td>-0.121888</td>\n",
       "      <td>-0.054388</td>\n",
       "      <td>-0.020564</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>0.021484</td>\n",
       "      <td>0.052849</td>\n",
       "      <td>0.035944</td>\n",
       "      <td>0.025606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.238803</td>\n",
       "      <td>0.995152</td>\n",
       "      <td>0.158633</td>\n",
       "      <td>0.322733</td>\n",
       "      <td>0.054409</td>\n",
       "      <td>-0.213311</td>\n",
       "      <td>-0.025104</td>\n",
       "      <td>0.236636</td>\n",
       "      <td>0.627712</td>\n",
       "      <td>-0.172382</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051392</td>\n",
       "      <td>-0.002096</td>\n",
       "      <td>0.044035</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.044593</td>\n",
       "      <td>-0.032423</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.020807</td>\n",
       "      <td>0.021268</td>\n",
       "      <td>0.008938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.163688</td>\n",
       "      <td>2.177114</td>\n",
       "      <td>0.151777</td>\n",
       "      <td>0.448594</td>\n",
       "      <td>0.092121</td>\n",
       "      <td>0.981671</td>\n",
       "      <td>0.034229</td>\n",
       "      <td>0.080491</td>\n",
       "      <td>0.062293</td>\n",
       "      <td>0.039099</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041042</td>\n",
       "      <td>-0.039577</td>\n",
       "      <td>0.034051</td>\n",
       "      <td>0.041895</td>\n",
       "      <td>-0.132000</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.089292</td>\n",
       "      <td>-0.132800</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.006363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>-1.943536</td>\n",
       "      <td>0.741875</td>\n",
       "      <td>-0.014834</td>\n",
       "      <td>-0.009834</td>\n",
       "      <td>-0.004313</td>\n",
       "      <td>-0.000250</td>\n",
       "      <td>-0.009058</td>\n",
       "      <td>-0.004314</td>\n",
       "      <td>-0.001167</td>\n",
       "      <td>-0.005741</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>-0.739408</td>\n",
       "      <td>1.501708</td>\n",
       "      <td>-0.014834</td>\n",
       "      <td>-0.009834</td>\n",
       "      <td>-0.004313</td>\n",
       "      <td>-0.000250</td>\n",
       "      <td>-0.009058</td>\n",
       "      <td>-0.004314</td>\n",
       "      <td>-0.001167</td>\n",
       "      <td>-0.005741</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029271</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
       "      <td>-0.038684</td>\n",
       "      <td>-0.013877</td>\n",
       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9522</th>\n",
       "      <td>-0.997435</td>\n",
       "      <td>0.573023</td>\n",
       "      <td>-0.016520</td>\n",
       "      <td>-0.011077</td>\n",
       "      <td>-0.004991</td>\n",
       "      <td>-0.000316</td>\n",
       "      <td>-0.010683</td>\n",
       "      <td>-0.005160</td>\n",
       "      <td>-0.001356</td>\n",
       "      <td>-0.006832</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018064</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>-2.287573</td>\n",
       "      <td>-0.271235</td>\n",
       "      <td>-0.014834</td>\n",
       "      <td>-0.009834</td>\n",
       "      <td>-0.004313</td>\n",
       "      <td>-0.000250</td>\n",
       "      <td>-0.009058</td>\n",
       "      <td>-0.004314</td>\n",
       "      <td>-0.001167</td>\n",
       "      <td>-0.005741</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047176</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>1.711853</td>\n",
       "      <td>0.910727</td>\n",
       "      <td>-0.014834</td>\n",
       "      <td>-0.009834</td>\n",
       "      <td>-0.004313</td>\n",
       "      <td>-0.000250</td>\n",
       "      <td>-0.009058</td>\n",
       "      <td>-0.004314</td>\n",
       "      <td>-0.001167</td>\n",
       "      <td>-0.005741</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026308</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 406 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      runtimeMinutes  averageRating  actor_pca_1  actor_pca_2  actor_pca_3  \\\n",
       "0          -0.653399       0.235320     0.028726     0.026293    -0.005750   \n",
       "1           0.636739       1.332856     0.163282     0.364476     0.099444   \n",
       "2          -0.309362      -1.284345    -0.015686    -0.010575    -0.004841   \n",
       "3           1.238803       0.995152     0.158633     0.322733     0.054409   \n",
       "4           0.163688       2.177114     0.151777     0.448594     0.092121   \n",
       "...              ...            ...          ...          ...          ...   \n",
       "9520       -1.943536       0.741875    -0.014834    -0.009834    -0.004313   \n",
       "9521       -0.739408       1.501708    -0.014834    -0.009834    -0.004313   \n",
       "9522       -0.997435       0.573023    -0.016520    -0.011077    -0.004991   \n",
       "9523       -2.287573      -0.271235    -0.014834    -0.009834    -0.004313   \n",
       "9524        1.711853       0.910727    -0.014834    -0.009834    -0.004313   \n",
       "\n",
       "      actor_pca_4  actor_pca_5  actor_pca_6  actor_pca_7  actor_pca_8  ...  \\\n",
       "0       -0.035638    -0.048198    -0.019779     0.024036    -0.141573  ...   \n",
       "1       -0.295275    -0.003150     0.230455     0.629977    -0.133533  ...   \n",
       "2       -0.000195    -0.009215    -0.004786    -0.000929    -0.005409  ...   \n",
       "3       -0.213311    -0.025104     0.236636     0.627712    -0.172382  ...   \n",
       "4        0.981671     0.034229     0.080491     0.062293     0.039099  ...   \n",
       "...           ...          ...          ...          ...          ...  ...   \n",
       "9520    -0.000250    -0.009058    -0.004314    -0.001167    -0.005741  ...   \n",
       "9521    -0.000250    -0.009058    -0.004314    -0.001167    -0.005741  ...   \n",
       "9522    -0.000316    -0.010683    -0.005160    -0.001356    -0.006832  ...   \n",
       "9523    -0.000250    -0.009058    -0.004314    -0.001167    -0.005741  ...   \n",
       "9524    -0.000250    -0.009058    -0.004314    -0.001167    -0.005741  ...   \n",
       "\n",
       "      embedding_374  embedding_375  embedding_376  embedding_377  \\\n",
       "0          0.016458      -0.023006      -0.050298       0.037739   \n",
       "1         -0.034701      -0.008065      -0.024117      -0.003312   \n",
       "2          0.003738      -0.049932      -0.121888      -0.054388   \n",
       "3          0.051392      -0.002096       0.044035       0.059909   \n",
       "4          0.041042      -0.039577       0.034051       0.041895   \n",
       "...             ...            ...            ...            ...   \n",
       "9520      -0.052198      -0.056215      -0.065513       0.068392   \n",
       "9521       0.029271      -0.052846       0.032112       0.051352   \n",
       "9522       0.018064      -0.050176      -0.045593       0.036943   \n",
       "9523      -0.047176      -0.100745       0.056739       0.063528   \n",
       "9524       0.026308      -0.031079       0.015309       0.108602   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "0         -0.076090      -0.010432      -0.058701       0.017649   \n",
       "1          0.038821      -0.030186       0.019926       0.074339   \n",
       "2         -0.020564       0.050116       0.021484       0.052849   \n",
       "3         -0.044593      -0.032423       0.081002       0.020807   \n",
       "4         -0.132000      -0.051895       0.089292      -0.132800   \n",
       "...             ...            ...            ...            ...   \n",
       "9520       0.040504      -0.013506      -0.068042       0.001189   \n",
       "9521      -0.038684      -0.013877       0.074433      -0.020061   \n",
       "9522      -0.046362      -0.033189      -0.061279      -0.036766   \n",
       "9523      -0.031887      -0.028223      -0.002628      -0.041470   \n",
       "9524      -0.053923       0.095502       0.000965      -0.005393   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "0          0.035267      -0.023228  \n",
       "1         -0.018989       0.055851  \n",
       "2          0.035944       0.025606  \n",
       "3          0.021268       0.008938  \n",
       "4         -0.011520      -0.006363  \n",
       "...             ...            ...  \n",
       "9520      -0.021429      -0.103460  \n",
       "9521      -0.008468       0.026134  \n",
       "9522       0.073398      -0.105024  \n",
       "9523       0.026425       0.023838  \n",
       "9524      -0.005323      -0.025500  \n",
       "\n",
       "[9525 rows x 406 columns]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# additional_features + actors_pca_df + directors_pca_df + final_metadata_with_overview.iloc[:, -384:] 합치기\n",
    "final_features = pd.concat([additional_features, actors_pca_df, directors_pca_df, final_metadata_with_overview.iloc[:, -384:]], axis=1)\n",
    "final_features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('final_features_without_genres.npy', final_features.to_numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>actor_pca_1</th>\n",
       "      <th>actor_pca_2</th>\n",
       "      <th>actor_pca_3</th>\n",
       "      <th>actor_pca_4</th>\n",
       "      <th>actor_pca_5</th>\n",
       "      <th>actor_pca_6</th>\n",
       "      <th>actor_pca_7</th>\n",
       "      <th>actor_pca_8</th>\n",
       "      <th>actor_pca_9</th>\n",
       "      <th>actor_pca_10</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.031266</td>\n",
       "      <td>0.027537</td>\n",
       "      <td>-0.018893</td>\n",
       "      <td>-0.060943</td>\n",
       "      <td>0.011886</td>\n",
       "      <td>-0.017243</td>\n",
       "      <td>-0.109380</td>\n",
       "      <td>-0.106655</td>\n",
       "      <td>-0.081659</td>\n",
       "      <td>-0.162639</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016458</td>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.050298</td>\n",
       "      <td>0.037739</td>\n",
       "      <td>-0.076090</td>\n",
       "      <td>-0.010432</td>\n",
       "      <td>-0.058701</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>0.035267</td>\n",
       "      <td>-0.023228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.164580</td>\n",
       "      <td>0.360036</td>\n",
       "      <td>0.082930</td>\n",
       "      <td>-0.252963</td>\n",
       "      <td>-0.052485</td>\n",
       "      <td>0.590873</td>\n",
       "      <td>-0.458731</td>\n",
       "      <td>0.033117</td>\n",
       "      <td>0.223110</td>\n",
       "      <td>0.256453</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034701</td>\n",
       "      <td>-0.008065</td>\n",
       "      <td>-0.024117</td>\n",
       "      <td>-0.003312</td>\n",
       "      <td>0.038821</td>\n",
       "      <td>-0.030186</td>\n",
       "      <td>0.019926</td>\n",
       "      <td>0.074339</td>\n",
       "      <td>-0.018989</td>\n",
       "      <td>0.055851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.015562</td>\n",
       "      <td>-0.010610</td>\n",
       "      <td>-0.004736</td>\n",
       "      <td>0.000590</td>\n",
       "      <td>-0.007191</td>\n",
       "      <td>-0.001167</td>\n",
       "      <td>-0.004215</td>\n",
       "      <td>-0.000164</td>\n",
       "      <td>-0.005590</td>\n",
       "      <td>0.001145</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>-0.049932</td>\n",
       "      <td>-0.121888</td>\n",
       "      <td>-0.054388</td>\n",
       "      <td>-0.020564</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>0.021484</td>\n",
       "      <td>0.052849</td>\n",
       "      <td>0.035944</td>\n",
       "      <td>0.025606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.158101</td>\n",
       "      <td>0.313738</td>\n",
       "      <td>0.040787</td>\n",
       "      <td>-0.163939</td>\n",
       "      <td>-0.065458</td>\n",
       "      <td>0.535656</td>\n",
       "      <td>-0.452134</td>\n",
       "      <td>-0.060533</td>\n",
       "      <td>0.245784</td>\n",
       "      <td>0.295243</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051392</td>\n",
       "      <td>-0.002096</td>\n",
       "      <td>0.044035</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.044593</td>\n",
       "      <td>-0.032423</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.020807</td>\n",
       "      <td>0.021268</td>\n",
       "      <td>0.008938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.157429</td>\n",
       "      <td>0.449737</td>\n",
       "      <td>0.097794</td>\n",
       "      <td>0.939599</td>\n",
       "      <td>-0.067310</td>\n",
       "      <td>0.153658</td>\n",
       "      <td>-0.023813</td>\n",
       "      <td>0.095911</td>\n",
       "      <td>-0.005397</td>\n",
       "      <td>-0.083440</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041042</td>\n",
       "      <td>-0.039577</td>\n",
       "      <td>0.034051</td>\n",
       "      <td>0.041895</td>\n",
       "      <td>-0.132000</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.089292</td>\n",
       "      <td>-0.132800</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.006363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>-0.014720</td>\n",
       "      <td>-0.009884</td>\n",
       "      <td>-0.004163</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>-0.006750</td>\n",
       "      <td>-0.000707</td>\n",
       "      <td>-0.003671</td>\n",
       "      <td>-0.000732</td>\n",
       "      <td>-0.004802</td>\n",
       "      <td>-0.000068</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>-0.014720</td>\n",
       "      <td>-0.009884</td>\n",
       "      <td>-0.004163</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>-0.006750</td>\n",
       "      <td>-0.000707</td>\n",
       "      <td>-0.003671</td>\n",
       "      <td>-0.000732</td>\n",
       "      <td>-0.004802</td>\n",
       "      <td>-0.000068</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029271</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
       "      <td>-0.038684</td>\n",
       "      <td>-0.013877</td>\n",
       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9522</th>\n",
       "      <td>-0.016389</td>\n",
       "      <td>-0.011148</td>\n",
       "      <td>-0.004811</td>\n",
       "      <td>0.000665</td>\n",
       "      <td>-0.008018</td>\n",
       "      <td>-0.000782</td>\n",
       "      <td>-0.004384</td>\n",
       "      <td>-0.000816</td>\n",
       "      <td>-0.005666</td>\n",
       "      <td>-0.000061</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018064</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>-0.014720</td>\n",
       "      <td>-0.009884</td>\n",
       "      <td>-0.004163</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>-0.006750</td>\n",
       "      <td>-0.000707</td>\n",
       "      <td>-0.003671</td>\n",
       "      <td>-0.000732</td>\n",
       "      <td>-0.004802</td>\n",
       "      <td>-0.000068</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047176</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>-0.014720</td>\n",
       "      <td>-0.009884</td>\n",
       "      <td>-0.004163</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>-0.006750</td>\n",
       "      <td>-0.000707</td>\n",
       "      <td>-0.003671</td>\n",
       "      <td>-0.000732</td>\n",
       "      <td>-0.004802</td>\n",
       "      <td>-0.000068</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026308</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 404 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      actor_pca_1  actor_pca_2  actor_pca_3  actor_pca_4  actor_pca_5  \\\n",
       "0        0.031266     0.027537    -0.018893    -0.060943     0.011886   \n",
       "1        0.164580     0.360036     0.082930    -0.252963    -0.052485   \n",
       "2       -0.015562    -0.010610    -0.004736     0.000590    -0.007191   \n",
       "3        0.158101     0.313738     0.040787    -0.163939    -0.065458   \n",
       "4        0.157429     0.449737     0.097794     0.939599    -0.067310   \n",
       "...           ...          ...          ...          ...          ...   \n",
       "9520    -0.014720    -0.009884    -0.004163     0.000547    -0.006750   \n",
       "9521    -0.014720    -0.009884    -0.004163     0.000547    -0.006750   \n",
       "9522    -0.016389    -0.011148    -0.004811     0.000665    -0.008018   \n",
       "9523    -0.014720    -0.009884    -0.004163     0.000547    -0.006750   \n",
       "9524    -0.014720    -0.009884    -0.004163     0.000547    -0.006750   \n",
       "\n",
       "      actor_pca_6  actor_pca_7  actor_pca_8  actor_pca_9  actor_pca_10  ...  \\\n",
       "0       -0.017243    -0.109380    -0.106655    -0.081659     -0.162639  ...   \n",
       "1        0.590873    -0.458731     0.033117     0.223110      0.256453  ...   \n",
       "2       -0.001167    -0.004215    -0.000164    -0.005590      0.001145  ...   \n",
       "3        0.535656    -0.452134    -0.060533     0.245784      0.295243  ...   \n",
       "4        0.153658    -0.023813     0.095911    -0.005397     -0.083440  ...   \n",
       "...           ...          ...          ...          ...           ...  ...   \n",
       "9520    -0.000707    -0.003671    -0.000732    -0.004802     -0.000068  ...   \n",
       "9521    -0.000707    -0.003671    -0.000732    -0.004802     -0.000068  ...   \n",
       "9522    -0.000782    -0.004384    -0.000816    -0.005666     -0.000061  ...   \n",
       "9523    -0.000707    -0.003671    -0.000732    -0.004802     -0.000068  ...   \n",
       "9524    -0.000707    -0.003671    -0.000732    -0.004802     -0.000068  ...   \n",
       "\n",
       "      embedding_374  embedding_375  embedding_376  embedding_377  \\\n",
       "0          0.016458      -0.023006      -0.050298       0.037739   \n",
       "1         -0.034701      -0.008065      -0.024117      -0.003312   \n",
       "2          0.003738      -0.049932      -0.121888      -0.054388   \n",
       "3          0.051392      -0.002096       0.044035       0.059909   \n",
       "4          0.041042      -0.039577       0.034051       0.041895   \n",
       "...             ...            ...            ...            ...   \n",
       "9520      -0.052198      -0.056215      -0.065513       0.068392   \n",
       "9521       0.029271      -0.052846       0.032112       0.051352   \n",
       "9522       0.018064      -0.050176      -0.045593       0.036943   \n",
       "9523      -0.047176      -0.100745       0.056739       0.063528   \n",
       "9524       0.026308      -0.031079       0.015309       0.108602   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "0         -0.076090      -0.010432      -0.058701       0.017649   \n",
       "1          0.038821      -0.030186       0.019926       0.074339   \n",
       "2         -0.020564       0.050116       0.021484       0.052849   \n",
       "3         -0.044593      -0.032423       0.081002       0.020807   \n",
       "4         -0.132000      -0.051895       0.089292      -0.132800   \n",
       "...             ...            ...            ...            ...   \n",
       "9520       0.040504      -0.013506      -0.068042       0.001189   \n",
       "9521      -0.038684      -0.013877       0.074433      -0.020061   \n",
       "9522      -0.046362      -0.033189      -0.061279      -0.036766   \n",
       "9523      -0.031887      -0.028223      -0.002628      -0.041470   \n",
       "9524      -0.053923       0.095502       0.000965      -0.005393   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "0          0.035267      -0.023228  \n",
       "1         -0.018989       0.055851  \n",
       "2          0.035944       0.025606  \n",
       "3          0.021268       0.008938  \n",
       "4         -0.011520      -0.006363  \n",
       "...             ...            ...  \n",
       "9520      -0.021429      -0.103460  \n",
       "9521      -0.008468       0.026134  \n",
       "9522       0.073398      -0.105024  \n",
       "9523       0.026425       0.023838  \n",
       "9524      -0.005323      -0.025500  \n",
       "\n",
       "[9525 rows x 404 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# additional_features + actors_pca_df + directors_pca_df + final_metadata_with_overview.iloc[:, -384:] 합치기\n",
    "# final_features_without_directors = pd.concat([additional_features, actors_pca_df, genres_pca_df, final_metadata_with_overview_ver5_0511.iloc[:, -384:]], axis=1)\n",
    "final_features_without_directors = pd.concat([actors_pca_df, genres_pca_df * 2, final_metadata_with_overview.iloc[:, -384:]], axis=1)\n",
    "final_features_without_directors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "np.save('final_features_without_directors_0518.npy', final_features_without_directors.to_numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_metadata_with_overview.to_excel('final_metadata_with_overview_embeddings_ver4_0510.xlsx', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 개요 임베딩 분리 후 테스트"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "metadata_overview_only = final_metadata_with_overview.iloc[:, -384:]\n",
    "metadata_overview_only['tconst'] = final_metadata_with_overview.tconst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>embedding_0</th>\n",
       "      <th>embedding_1</th>\n",
       "      <th>embedding_2</th>\n",
       "      <th>embedding_3</th>\n",
       "      <th>embedding_4</th>\n",
       "      <th>embedding_5</th>\n",
       "      <th>embedding_6</th>\n",
       "      <th>embedding_7</th>\n",
       "      <th>embedding_8</th>\n",
       "      <th>embedding_9</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tconst</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>tt31015344</th>\n",
       "      <td>-0.028669</td>\n",
       "      <td>-0.043193</td>\n",
       "      <td>-0.002602</td>\n",
       "      <td>0.012412</td>\n",
       "      <td>-0.016138</td>\n",
       "      <td>0.021079</td>\n",
       "      <td>0.053611</td>\n",
       "      <td>0.030748</td>\n",
       "      <td>0.013544</td>\n",
       "      <td>0.028924</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016458</td>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.050298</td>\n",
       "      <td>0.037739</td>\n",
       "      <td>-0.076090</td>\n",
       "      <td>-0.010432</td>\n",
       "      <td>-0.058701</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>0.035267</td>\n",
       "      <td>-0.023228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt30911335</th>\n",
       "      <td>0.000512</td>\n",
       "      <td>0.051461</td>\n",
       "      <td>0.047161</td>\n",
       "      <td>0.085658</td>\n",
       "      <td>-0.048483</td>\n",
       "      <td>0.002269</td>\n",
       "      <td>-0.012865</td>\n",
       "      <td>-0.063385</td>\n",
       "      <td>0.094378</td>\n",
       "      <td>-0.048332</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034701</td>\n",
       "      <td>-0.008065</td>\n",
       "      <td>-0.024117</td>\n",
       "      <td>-0.003312</td>\n",
       "      <td>0.038821</td>\n",
       "      <td>-0.030186</td>\n",
       "      <td>0.019926</td>\n",
       "      <td>0.074339</td>\n",
       "      <td>-0.018989</td>\n",
       "      <td>0.055851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt9682428</th>\n",
       "      <td>0.007790</td>\n",
       "      <td>0.000841</td>\n",
       "      <td>-0.071738</td>\n",
       "      <td>-0.024823</td>\n",
       "      <td>0.047090</td>\n",
       "      <td>-0.004854</td>\n",
       "      <td>0.121953</td>\n",
       "      <td>-0.044701</td>\n",
       "      <td>-0.017652</td>\n",
       "      <td>-0.002489</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>-0.049932</td>\n",
       "      <td>-0.121888</td>\n",
       "      <td>-0.054388</td>\n",
       "      <td>-0.020564</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>0.021484</td>\n",
       "      <td>0.052849</td>\n",
       "      <td>0.035944</td>\n",
       "      <td>0.025606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt27802490</th>\n",
       "      <td>-0.071939</td>\n",
       "      <td>0.033576</td>\n",
       "      <td>0.000580</td>\n",
       "      <td>0.027234</td>\n",
       "      <td>0.008778</td>\n",
       "      <td>-0.042848</td>\n",
       "      <td>-0.019635</td>\n",
       "      <td>-0.067138</td>\n",
       "      <td>0.043785</td>\n",
       "      <td>-0.036617</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051392</td>\n",
       "      <td>-0.002096</td>\n",
       "      <td>0.044035</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.044593</td>\n",
       "      <td>-0.032423</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.020807</td>\n",
       "      <td>0.021268</td>\n",
       "      <td>0.008938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt27811040</th>\n",
       "      <td>-0.114945</td>\n",
       "      <td>0.066293</td>\n",
       "      <td>-0.057027</td>\n",
       "      <td>-0.014922</td>\n",
       "      <td>-0.038539</td>\n",
       "      <td>0.051438</td>\n",
       "      <td>0.084544</td>\n",
       "      <td>-0.016301</td>\n",
       "      <td>-0.007758</td>\n",
       "      <td>0.026670</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041042</td>\n",
       "      <td>-0.039577</td>\n",
       "      <td>0.034051</td>\n",
       "      <td>0.041895</td>\n",
       "      <td>-0.132000</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.089292</td>\n",
       "      <td>-0.132800</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.006363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0017409</th>\n",
       "      <td>-0.055011</td>\n",
       "      <td>-0.074595</td>\n",
       "      <td>0.001815</td>\n",
       "      <td>-0.038516</td>\n",
       "      <td>-0.074756</td>\n",
       "      <td>0.052812</td>\n",
       "      <td>0.041358</td>\n",
       "      <td>-0.064872</td>\n",
       "      <td>0.085917</td>\n",
       "      <td>-0.005419</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0015064</th>\n",
       "      <td>0.080072</td>\n",
       "      <td>0.084541</td>\n",
       "      <td>0.012166</td>\n",
       "      <td>0.026970</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>-0.001980</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>-0.129143</td>\n",
       "      <td>-0.124479</td>\n",
       "      <td>-0.002060</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029271</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
       "      <td>-0.038684</td>\n",
       "      <td>-0.013877</td>\n",
       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0014624</th>\n",
       "      <td>-0.038122</td>\n",
       "      <td>-0.025018</td>\n",
       "      <td>0.113269</td>\n",
       "      <td>-0.004511</td>\n",
       "      <td>0.062075</td>\n",
       "      <td>0.055934</td>\n",
       "      <td>0.055038</td>\n",
       "      <td>-0.047805</td>\n",
       "      <td>0.043764</td>\n",
       "      <td>-0.040496</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018064</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0012806</th>\n",
       "      <td>-0.012362</td>\n",
       "      <td>-0.004797</td>\n",
       "      <td>-0.024310</td>\n",
       "      <td>-0.038956</td>\n",
       "      <td>-0.078531</td>\n",
       "      <td>-0.033533</td>\n",
       "      <td>0.097009</td>\n",
       "      <td>-0.011524</td>\n",
       "      <td>-0.002285</td>\n",
       "      <td>-0.075233</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047176</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0011841</th>\n",
       "      <td>-0.039963</td>\n",
       "      <td>0.055371</td>\n",
       "      <td>-0.005465</td>\n",
       "      <td>0.020404</td>\n",
       "      <td>0.010991</td>\n",
       "      <td>-0.021599</td>\n",
       "      <td>0.067804</td>\n",
       "      <td>-0.110067</td>\n",
       "      <td>-0.028278</td>\n",
       "      <td>0.077106</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026308</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9605 rows × 384 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            embedding_0  embedding_1  embedding_2  embedding_3  embedding_4  \\\n",
       "tconst                                                                        \n",
       "tt31015344    -0.028669    -0.043193    -0.002602     0.012412    -0.016138   \n",
       "tt30911335     0.000512     0.051461     0.047161     0.085658    -0.048483   \n",
       "tt9682428      0.007790     0.000841    -0.071738    -0.024823     0.047090   \n",
       "tt27802490    -0.071939     0.033576     0.000580     0.027234     0.008778   \n",
       "tt27811040    -0.114945     0.066293    -0.057027    -0.014922    -0.038539   \n",
       "...                 ...          ...          ...          ...          ...   \n",
       "tt0017409     -0.055011    -0.074595     0.001815    -0.038516    -0.074756   \n",
       "tt0015064      0.080072     0.084541     0.012166     0.026970     0.019227   \n",
       "tt0014624     -0.038122    -0.025018     0.113269    -0.004511     0.062075   \n",
       "tt0012806     -0.012362    -0.004797    -0.024310    -0.038956    -0.078531   \n",
       "tt0011841     -0.039963     0.055371    -0.005465     0.020404     0.010991   \n",
       "\n",
       "            embedding_5  embedding_6  embedding_7  embedding_8  embedding_9  \\\n",
       "tconst                                                                        \n",
       "tt31015344     0.021079     0.053611     0.030748     0.013544     0.028924   \n",
       "tt30911335     0.002269    -0.012865    -0.063385     0.094378    -0.048332   \n",
       "tt9682428     -0.004854     0.121953    -0.044701    -0.017652    -0.002489   \n",
       "tt27802490    -0.042848    -0.019635    -0.067138     0.043785    -0.036617   \n",
       "tt27811040     0.051438     0.084544    -0.016301    -0.007758     0.026670   \n",
       "...                 ...          ...          ...          ...          ...   \n",
       "tt0017409      0.052812     0.041358    -0.064872     0.085917    -0.005419   \n",
       "tt0015064     -0.001980    -0.008999    -0.129143    -0.124479    -0.002060   \n",
       "tt0014624      0.055934     0.055038    -0.047805     0.043764    -0.040496   \n",
       "tt0012806     -0.033533     0.097009    -0.011524    -0.002285    -0.075233   \n",
       "tt0011841     -0.021599     0.067804    -0.110067    -0.028278     0.077106   \n",
       "\n",
       "            ...  embedding_374  embedding_375  embedding_376  embedding_377  \\\n",
       "tconst      ...                                                               \n",
       "tt31015344  ...       0.016458      -0.023006      -0.050298       0.037739   \n",
       "tt30911335  ...      -0.034701      -0.008065      -0.024117      -0.003312   \n",
       "tt9682428   ...       0.003738      -0.049932      -0.121888      -0.054388   \n",
       "tt27802490  ...       0.051392      -0.002096       0.044035       0.059909   \n",
       "tt27811040  ...       0.041042      -0.039577       0.034051       0.041895   \n",
       "...         ...            ...            ...            ...            ...   \n",
       "tt0017409   ...      -0.052198      -0.056215      -0.065513       0.068392   \n",
       "tt0015064   ...       0.029271      -0.052846       0.032112       0.051352   \n",
       "tt0014624   ...       0.018064      -0.050176      -0.045593       0.036943   \n",
       "tt0012806   ...      -0.047176      -0.100745       0.056739       0.063528   \n",
       "tt0011841   ...       0.026308      -0.031079       0.015309       0.108602   \n",
       "\n",
       "            embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "tconst                                                                   \n",
       "tt31015344      -0.076090      -0.010432      -0.058701       0.017649   \n",
       "tt30911335       0.038821      -0.030186       0.019926       0.074339   \n",
       "tt9682428       -0.020564       0.050116       0.021484       0.052849   \n",
       "tt27802490      -0.044593      -0.032423       0.081002       0.020807   \n",
       "tt27811040      -0.132000      -0.051895       0.089292      -0.132800   \n",
       "...                   ...            ...            ...            ...   \n",
       "tt0017409        0.040504      -0.013506      -0.068042       0.001189   \n",
       "tt0015064       -0.038684      -0.013877       0.074433      -0.020061   \n",
       "tt0014624       -0.046362      -0.033189      -0.061279      -0.036766   \n",
       "tt0012806       -0.031887      -0.028223      -0.002628      -0.041470   \n",
       "tt0011841       -0.053923       0.095502       0.000965      -0.005393   \n",
       "\n",
       "            embedding_382  embedding_383  \n",
       "tconst                                    \n",
       "tt31015344       0.035267      -0.023228  \n",
       "tt30911335      -0.018989       0.055851  \n",
       "tt9682428        0.035944       0.025606  \n",
       "tt27802490       0.021268       0.008938  \n",
       "tt27811040      -0.011520      -0.006363  \n",
       "...                   ...            ...  \n",
       "tt0017409       -0.021429      -0.103460  \n",
       "tt0015064       -0.008468       0.026134  \n",
       "tt0014624        0.073398      -0.105024  \n",
       "tt0012806        0.026425       0.023838  \n",
       "tt0011841       -0.005323      -0.025500  \n",
       "\n",
       "[9605 rows x 384 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# metadata_overview_only의 tconst를 첫 번째 열로 이동\n",
    "# cols = metadata_overview_only.columns.tolist()\n",
    "# cols = cols[-1:] + cols[:-1]\n",
    "# metadata_overview_only = metadata_overview_only[cols]\n",
    "# metadata_overview_only\n",
    "\n",
    "# metadata_overview_only의 tconst를 인덱스로 설정\n",
    "metadata_overview_only = metadata_overview_only.set_index('tconst')\n",
    "metadata_overview_only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/hou27/Library/Python/3.9/lib/python/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>embedding_0</th>\n",
       "      <th>embedding_1</th>\n",
       "      <th>embedding_2</th>\n",
       "      <th>embedding_3</th>\n",
       "      <th>embedding_4</th>\n",
       "      <th>embedding_5</th>\n",
       "      <th>embedding_6</th>\n",
       "      <th>embedding_7</th>\n",
       "      <th>embedding_8</th>\n",
       "      <th>embedding_9</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tconst</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>tt31015344</th>\n",
       "      <td>-0.028669</td>\n",
       "      <td>-0.043193</td>\n",
       "      <td>-0.002602</td>\n",
       "      <td>0.012412</td>\n",
       "      <td>-0.016138</td>\n",
       "      <td>0.021079</td>\n",
       "      <td>0.053611</td>\n",
       "      <td>0.030748</td>\n",
       "      <td>0.013544</td>\n",
       "      <td>0.028924</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.023006</td>\n",
       "      <td>-0.050298</td>\n",
       "      <td>0.037739</td>\n",
       "      <td>-0.076090</td>\n",
       "      <td>-0.010432</td>\n",
       "      <td>-0.058701</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>0.035267</td>\n",
       "      <td>-0.023228</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt30911335</th>\n",
       "      <td>0.000512</td>\n",
       "      <td>0.051461</td>\n",
       "      <td>0.047161</td>\n",
       "      <td>0.085658</td>\n",
       "      <td>-0.048483</td>\n",
       "      <td>0.002269</td>\n",
       "      <td>-0.012865</td>\n",
       "      <td>-0.063385</td>\n",
       "      <td>0.094378</td>\n",
       "      <td>-0.048332</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.008065</td>\n",
       "      <td>-0.024117</td>\n",
       "      <td>-0.003312</td>\n",
       "      <td>0.038821</td>\n",
       "      <td>-0.030186</td>\n",
       "      <td>0.019926</td>\n",
       "      <td>0.074339</td>\n",
       "      <td>-0.018989</td>\n",
       "      <td>0.055851</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt9682428</th>\n",
       "      <td>0.007790</td>\n",
       "      <td>0.000841</td>\n",
       "      <td>-0.071738</td>\n",
       "      <td>-0.024823</td>\n",
       "      <td>0.047090</td>\n",
       "      <td>-0.004854</td>\n",
       "      <td>0.121953</td>\n",
       "      <td>-0.044701</td>\n",
       "      <td>-0.017652</td>\n",
       "      <td>-0.002489</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.049932</td>\n",
       "      <td>-0.121888</td>\n",
       "      <td>-0.054388</td>\n",
       "      <td>-0.020564</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>0.021484</td>\n",
       "      <td>0.052849</td>\n",
       "      <td>0.035944</td>\n",
       "      <td>0.025606</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt27802490</th>\n",
       "      <td>-0.071939</td>\n",
       "      <td>0.033576</td>\n",
       "      <td>0.000580</td>\n",
       "      <td>0.027234</td>\n",
       "      <td>0.008778</td>\n",
       "      <td>-0.042848</td>\n",
       "      <td>-0.019635</td>\n",
       "      <td>-0.067138</td>\n",
       "      <td>0.043785</td>\n",
       "      <td>-0.036617</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002096</td>\n",
       "      <td>0.044035</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.044593</td>\n",
       "      <td>-0.032423</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.020807</td>\n",
       "      <td>0.021268</td>\n",
       "      <td>0.008938</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt27811040</th>\n",
       "      <td>-0.114945</td>\n",
       "      <td>0.066293</td>\n",
       "      <td>-0.057027</td>\n",
       "      <td>-0.014922</td>\n",
       "      <td>-0.038539</td>\n",
       "      <td>0.051438</td>\n",
       "      <td>0.084544</td>\n",
       "      <td>-0.016301</td>\n",
       "      <td>-0.007758</td>\n",
       "      <td>0.026670</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.039577</td>\n",
       "      <td>0.034051</td>\n",
       "      <td>0.041895</td>\n",
       "      <td>-0.132000</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.089292</td>\n",
       "      <td>-0.132800</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.006363</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0017409</th>\n",
       "      <td>-0.055011</td>\n",
       "      <td>-0.074595</td>\n",
       "      <td>0.001815</td>\n",
       "      <td>-0.038516</td>\n",
       "      <td>-0.074756</td>\n",
       "      <td>0.052812</td>\n",
       "      <td>0.041358</td>\n",
       "      <td>-0.064872</td>\n",
       "      <td>0.085917</td>\n",
       "      <td>-0.005419</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0015064</th>\n",
       "      <td>0.080072</td>\n",
       "      <td>0.084541</td>\n",
       "      <td>0.012166</td>\n",
       "      <td>0.026970</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>-0.001980</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>-0.129143</td>\n",
       "      <td>-0.124479</td>\n",
       "      <td>-0.002060</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
       "      <td>-0.038684</td>\n",
       "      <td>-0.013877</td>\n",
       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0014624</th>\n",
       "      <td>-0.038122</td>\n",
       "      <td>-0.025018</td>\n",
       "      <td>0.113269</td>\n",
       "      <td>-0.004511</td>\n",
       "      <td>0.062075</td>\n",
       "      <td>0.055934</td>\n",
       "      <td>0.055038</td>\n",
       "      <td>-0.047805</td>\n",
       "      <td>0.043764</td>\n",
       "      <td>-0.040496</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0012806</th>\n",
       "      <td>-0.012362</td>\n",
       "      <td>-0.004797</td>\n",
       "      <td>-0.024310</td>\n",
       "      <td>-0.038956</td>\n",
       "      <td>-0.078531</td>\n",
       "      <td>-0.033533</td>\n",
       "      <td>0.097009</td>\n",
       "      <td>-0.011524</td>\n",
       "      <td>-0.002285</td>\n",
       "      <td>-0.075233</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0011841</th>\n",
       "      <td>-0.039963</td>\n",
       "      <td>0.055371</td>\n",
       "      <td>-0.005465</td>\n",
       "      <td>0.020404</td>\n",
       "      <td>0.010991</td>\n",
       "      <td>-0.021599</td>\n",
       "      <td>0.067804</td>\n",
       "      <td>-0.110067</td>\n",
       "      <td>-0.028278</td>\n",
       "      <td>0.077106</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9605 rows × 385 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            embedding_0  embedding_1  embedding_2  embedding_3  embedding_4  \\\n",
       "tconst                                                                        \n",
       "tt31015344    -0.028669    -0.043193    -0.002602     0.012412    -0.016138   \n",
       "tt30911335     0.000512     0.051461     0.047161     0.085658    -0.048483   \n",
       "tt9682428      0.007790     0.000841    -0.071738    -0.024823     0.047090   \n",
       "tt27802490    -0.071939     0.033576     0.000580     0.027234     0.008778   \n",
       "tt27811040    -0.114945     0.066293    -0.057027    -0.014922    -0.038539   \n",
       "...                 ...          ...          ...          ...          ...   \n",
       "tt0017409     -0.055011    -0.074595     0.001815    -0.038516    -0.074756   \n",
       "tt0015064      0.080072     0.084541     0.012166     0.026970     0.019227   \n",
       "tt0014624     -0.038122    -0.025018     0.113269    -0.004511     0.062075   \n",
       "tt0012806     -0.012362    -0.004797    -0.024310    -0.038956    -0.078531   \n",
       "tt0011841     -0.039963     0.055371    -0.005465     0.020404     0.010991   \n",
       "\n",
       "            embedding_5  embedding_6  embedding_7  embedding_8  embedding_9  \\\n",
       "tconst                                                                        \n",
       "tt31015344     0.021079     0.053611     0.030748     0.013544     0.028924   \n",
       "tt30911335     0.002269    -0.012865    -0.063385     0.094378    -0.048332   \n",
       "tt9682428     -0.004854     0.121953    -0.044701    -0.017652    -0.002489   \n",
       "tt27802490    -0.042848    -0.019635    -0.067138     0.043785    -0.036617   \n",
       "tt27811040     0.051438     0.084544    -0.016301    -0.007758     0.026670   \n",
       "...                 ...          ...          ...          ...          ...   \n",
       "tt0017409      0.052812     0.041358    -0.064872     0.085917    -0.005419   \n",
       "tt0015064     -0.001980    -0.008999    -0.129143    -0.124479    -0.002060   \n",
       "tt0014624      0.055934     0.055038    -0.047805     0.043764    -0.040496   \n",
       "tt0012806     -0.033533     0.097009    -0.011524    -0.002285    -0.075233   \n",
       "tt0011841     -0.021599     0.067804    -0.110067    -0.028278     0.077106   \n",
       "\n",
       "            ...  embedding_375  embedding_376  embedding_377  embedding_378  \\\n",
       "tconst      ...                                                               \n",
       "tt31015344  ...      -0.023006      -0.050298       0.037739      -0.076090   \n",
       "tt30911335  ...      -0.008065      -0.024117      -0.003312       0.038821   \n",
       "tt9682428   ...      -0.049932      -0.121888      -0.054388      -0.020564   \n",
       "tt27802490  ...      -0.002096       0.044035       0.059909      -0.044593   \n",
       "tt27811040  ...      -0.039577       0.034051       0.041895      -0.132000   \n",
       "...         ...            ...            ...            ...            ...   \n",
       "tt0017409   ...      -0.056215      -0.065513       0.068392       0.040504   \n",
       "tt0015064   ...      -0.052846       0.032112       0.051352      -0.038684   \n",
       "tt0014624   ...      -0.050176      -0.045593       0.036943      -0.046362   \n",
       "tt0012806   ...      -0.100745       0.056739       0.063528      -0.031887   \n",
       "tt0011841   ...      -0.031079       0.015309       0.108602      -0.053923   \n",
       "\n",
       "            embedding_379  embedding_380  embedding_381  embedding_382  \\\n",
       "tconst                                                                   \n",
       "tt31015344      -0.010432      -0.058701       0.017649       0.035267   \n",
       "tt30911335      -0.030186       0.019926       0.074339      -0.018989   \n",
       "tt9682428        0.050116       0.021484       0.052849       0.035944   \n",
       "tt27802490      -0.032423       0.081002       0.020807       0.021268   \n",
       "tt27811040      -0.051895       0.089292      -0.132800      -0.011520   \n",
       "...                   ...            ...            ...            ...   \n",
       "tt0017409       -0.013506      -0.068042       0.001189      -0.021429   \n",
       "tt0015064       -0.013877       0.074433      -0.020061      -0.008468   \n",
       "tt0014624       -0.033189      -0.061279      -0.036766       0.073398   \n",
       "tt0012806       -0.028223      -0.002628      -0.041470       0.026425   \n",
       "tt0011841        0.095502       0.000965      -0.005393      -0.005323   \n",
       "\n",
       "            embedding_383  cluster  \n",
       "tconst                              \n",
       "tt31015344      -0.023228       85  \n",
       "tt30911335       0.055851       72  \n",
       "tt9682428        0.025606       99  \n",
       "tt27802490       0.008938        3  \n",
       "tt27811040      -0.006363       35  \n",
       "...                   ...      ...  \n",
       "tt0017409       -0.103460        9  \n",
       "tt0015064        0.026134       48  \n",
       "tt0014624       -0.105024       36  \n",
       "tt0012806        0.023838       62  \n",
       "tt0011841       -0.025500       34  \n",
       "\n",
       "[9605 rows x 385 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# metadata_overview_only를 비지도 클러스터링\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "kmeans = KMeans(n_clusters=100, random_state=0).fit(metadata_overview_only)\n",
    "metadata_overview_only['cluster'] = kmeans.labels_\n",
    "metadata_overview_only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['tt27802490', 'tt28995831', 'tt27127187', 'tt19595494', 'tt15548074',\n",
       "       'tt12292206', 'tt12015102', 'tt12740760', 'tt10403420', 'tt11426228',\n",
       "       'tt11245972', 'tt11265320', 'tt14502344', 'tt14895716', 'tt14202334',\n",
       "       'tt14024906', 'tt22640784', 'tt8110652', 'tt7587206', 'tt27547850',\n",
       "       'tt6969338', 'tt7033820', 'tt20204164', 'tt21030240', 'tt20039176',\n",
       "       'tt21836592', 'tt13712126', 'tt4513678', 'tt13648224', 'tt7069210',\n",
       "       'tt11760236', 'tt11741044', 'tt13983972', 'tt13975458', 'tt14895216',\n",
       "       'tt14922584', 'tt14867006', 'tt14403632', 'tt13276012', 'tt13521862',\n",
       "       'tt6561576', 'tt9165824', 'tt9834506', 'tt8840224', 'tt10341248',\n",
       "       'tt6535880', 'tt3387520', 'tt10530286', 'tt8119752', 'tt7349910',\n",
       "       'tt8574170', 'tt8737130', 'tt6239298', 'tt5121816', 'tt4281724',\n",
       "       'tt6449358', 'tt6448366', 'tt1289401', 'tt4467626', 'tt4267026',\n",
       "       'tt3892620', 'tt4230796', 'tt3416742', 'tt3837024', 'tt4546126',\n",
       "       'tt4178118', 'tt2900624', 'tt1457767', 'tt3264494', 'tt1703199',\n",
       "       'tt1594562', 'tt1650062', 'tt1314655', 'tt1831744', 'tt1743701',\n",
       "       'tt0862856', 'tt0385880', 'tt0355295', 'tt0475532', 'tt0416853',\n",
       "       'tt0293508', 'tt0385115', 'tt0267913', 'tt0175142', 'tt0293217',\n",
       "       'tt0171363', 'tt0293823', 'tt0093421', 'tt0087332', 'tt0082626',\n",
       "       'tt0082418', 'tt0083907', 'tt0080749', 'tt0082479', 'tt0068456',\n",
       "       'tt0068370', 'tt0051365', 'tt0023649'],\n",
       "      dtype='object', name='tconst')"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadata_overview_only[metadata_overview_only['cluster'] == 3].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "254    In a family-owned bowling alley, tension arise...\n",
       "Name: overview, dtype: object"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_metadata[final_metadata.tconst == 'tt15012246'].overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "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>embedding_0</th>\n",
       "      <th>embedding_1</th>\n",
       "      <th>embedding_2</th>\n",
       "      <th>embedding_3</th>\n",
       "      <th>embedding_4</th>\n",
       "      <th>embedding_5</th>\n",
       "      <th>embedding_6</th>\n",
       "      <th>embedding_7</th>\n",
       "      <th>embedding_8</th>\n",
       "      <th>embedding_9</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tconst</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>tt3065204</th>\n",
       "      <td>0.029768</td>\n",
       "      <td>-0.012332</td>\n",
       "      <td>0.001662</td>\n",
       "      <td>0.062214</td>\n",
       "      <td>-0.009027</td>\n",
       "      <td>0.038045</td>\n",
       "      <td>0.033618</td>\n",
       "      <td>-0.015571</td>\n",
       "      <td>0.004638</td>\n",
       "      <td>-0.024262</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.011353</td>\n",
       "      <td>-0.086444</td>\n",
       "      <td>-0.025012</td>\n",
       "      <td>0.050933</td>\n",
       "      <td>0.00489</td>\n",
       "      <td>0.014178</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>-0.042799</td>\n",
       "      <td>-0.074381</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 385 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           embedding_0  embedding_1  embedding_2  embedding_3  embedding_4  \\\n",
       "tconst                                                                       \n",
       "tt3065204     0.029768    -0.012332     0.001662     0.062214    -0.009027   \n",
       "\n",
       "           embedding_5  embedding_6  embedding_7  embedding_8  embedding_9  \\\n",
       "tconst                                                                       \n",
       "tt3065204     0.038045     0.033618    -0.015571     0.004638    -0.024262   \n",
       "\n",
       "           ...  embedding_375  embedding_376  embedding_377  embedding_378  \\\n",
       "tconst     ...                                                               \n",
       "tt3065204  ...      -0.011353      -0.086444      -0.025012       0.050933   \n",
       "\n",
       "           embedding_379  embedding_380  embedding_381  embedding_382  \\\n",
       "tconst                                                                  \n",
       "tt3065204        0.00489       0.014178       0.019435      -0.042799   \n",
       "\n",
       "           embedding_383  cluster  \n",
       "tconst                             \n",
       "tt3065204      -0.074381       24  \n",
       "\n",
       "[1 rows x 385 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadata_overview_only[metadata_overview_only.index == 'tt3065204']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>embedding_0</th>\n",
       "      <th>embedding_1</th>\n",
       "      <th>embedding_2</th>\n",
       "      <th>embedding_3</th>\n",
       "      <th>embedding_4</th>\n",
       "      <th>embedding_5</th>\n",
       "      <th>embedding_6</th>\n",
       "      <th>embedding_7</th>\n",
       "      <th>embedding_8</th>\n",
       "      <th>embedding_9</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tconst</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>tt1457767</th>\n",
       "      <td>-0.098581</td>\n",
       "      <td>0.040835</td>\n",
       "      <td>-0.028048</td>\n",
       "      <td>0.042032</td>\n",
       "      <td>0.002181</td>\n",
       "      <td>-0.017918</td>\n",
       "      <td>-0.019551</td>\n",
       "      <td>-0.047132</td>\n",
       "      <td>0.042025</td>\n",
       "      <td>-0.012945</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.012994</td>\n",
       "      <td>0.033388</td>\n",
       "      <td>-0.017172</td>\n",
       "      <td>-0.075279</td>\n",
       "      <td>-0.042101</td>\n",
       "      <td>0.09493</td>\n",
       "      <td>-0.003515</td>\n",
       "      <td>-0.019998</td>\n",
       "      <td>-0.0329</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 385 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           embedding_0  embedding_1  embedding_2  embedding_3  embedding_4  \\\n",
       "tconst                                                                       \n",
       "tt1457767    -0.098581     0.040835    -0.028048     0.042032     0.002181   \n",
       "\n",
       "           embedding_5  embedding_6  embedding_7  embedding_8  embedding_9  \\\n",
       "tconst                                                                       \n",
       "tt1457767    -0.017918    -0.019551    -0.047132     0.042025    -0.012945   \n",
       "\n",
       "           ...  embedding_375  embedding_376  embedding_377  embedding_378  \\\n",
       "tconst     ...                                                               \n",
       "tt1457767  ...      -0.012994       0.033388      -0.017172      -0.075279   \n",
       "\n",
       "           embedding_379  embedding_380  embedding_381  embedding_382  \\\n",
       "tconst                                                                  \n",
       "tt1457767      -0.042101        0.09493      -0.003515      -0.019998   \n",
       "\n",
       "           embedding_383  cluster  \n",
       "tconst                             \n",
       "tt1457767        -0.0329        3  \n",
       "\n",
       "[1 rows x 385 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadata_overview_only[metadata_overview_only.index == 'tt1457767']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>embedding_0</th>\n",
       "      <th>embedding_1</th>\n",
       "      <th>embedding_2</th>\n",
       "      <th>embedding_3</th>\n",
       "      <th>embedding_4</th>\n",
       "      <th>embedding_5</th>\n",
       "      <th>embedding_6</th>\n",
       "      <th>embedding_7</th>\n",
       "      <th>embedding_8</th>\n",
       "      <th>embedding_9</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tconst</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>tt4319112</th>\n",
       "      <td>-0.00598</td>\n",
       "      <td>0.052141</td>\n",
       "      <td>-0.049032</td>\n",
       "      <td>0.002523</td>\n",
       "      <td>0.031908</td>\n",
       "      <td>0.02022</td>\n",
       "      <td>0.054258</td>\n",
       "      <td>0.056541</td>\n",
       "      <td>-0.114456</td>\n",
       "      <td>-0.022451</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.03881</td>\n",
       "      <td>-0.043754</td>\n",
       "      <td>-0.005866</td>\n",
       "      <td>-0.061139</td>\n",
       "      <td>-0.012259</td>\n",
       "      <td>0.067048</td>\n",
       "      <td>-0.069077</td>\n",
       "      <td>0.046214</td>\n",
       "      <td>0.004179</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 385 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           embedding_0  embedding_1  embedding_2  embedding_3  embedding_4  \\\n",
       "tconst                                                                       \n",
       "tt4319112     -0.00598     0.052141    -0.049032     0.002523     0.031908   \n",
       "\n",
       "           embedding_5  embedding_6  embedding_7  embedding_8  embedding_9  \\\n",
       "tconst                                                                       \n",
       "tt4319112      0.02022     0.054258     0.056541    -0.114456    -0.022451   \n",
       "\n",
       "           ...  embedding_375  embedding_376  embedding_377  embedding_378  \\\n",
       "tconst     ...                                                               \n",
       "tt4319112  ...       -0.03881      -0.043754      -0.005866      -0.061139   \n",
       "\n",
       "           embedding_379  embedding_380  embedding_381  embedding_382  \\\n",
       "tconst                                                                  \n",
       "tt4319112      -0.012259       0.067048      -0.069077       0.046214   \n",
       "\n",
       "           embedding_383  cluster  \n",
       "tconst                             \n",
       "tt4319112       0.004179       67  \n",
       "\n",
       "[1 rows x 385 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadata_overview_only[metadata_overview_only.index == 'tt4319112']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['tt18563148', 'tt15255876', 'tt15241758', 'tt15083184', 'tt14992922',\n",
       "       'tt15441472', 'tt1551614', 'tt15690300', 'tt17043652', 'tt16418578',\n",
       "       ...\n",
       "       'tt0066212', 'tt0066612', 'tt0061418', 'tt0060200', 'tt0057565',\n",
       "       'tt0054135', 'tt0050670', 'tt0049845', 'tt0048790', 'tt0023285'],\n",
       "      dtype='object', name='tconst', length=135)"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadata_overview_only[metadata_overview_only['cluster'] == 67].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "metadata_overview_only.to_csv('metadata_overview_only_ver1.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "가장 유사한 5개 영화의 인덱스: [4989 5004 7450 7156 5577]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# from sklearn.metrics.pairwise import cosine_similarity\n",
    "\n",
    "# cosine_similarity(metadata_overview_only.iloc[0].values.reshape(1, -1), metadata_overview_only.iloc[1:].values)\n",
    "\n",
    "# similarity = cosine_similarity(metadata_overview_only.iloc[0].values.reshape(1, -1), metadata_overview_only.iloc[1:].values)\n",
    "# metadata_overview_only['similarity'] = similarity[0]\n",
    "# metadata_overview_only\n",
    "\n",
    "# metadata_overview_only.sort_values(by='similarity', ascending=False)\n",
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "\n",
    "# 코사인 유사도를 계산할 데이터\n",
    "target_data = metadata_overview_only.loc[\"tt7315746\"].values.reshape(1, -1)\n",
    "\n",
    "# 모든 데이터와의 코사인 유사도 계산\n",
    "similarities = cosine_similarity(metadata_overview_only.values, target_data)\n",
    "\n",
    "# 유사도를 기준으로 상위 5개 영화 선택\n",
    "similar_indices = similarities.flatten().argsort()[:-6:-1]\n",
    "\n",
    "# 상위 5개 영화의 인덱스 출력\n",
    "print(\"가장 유사한 5개 영화의 인덱스:\", similar_indices)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        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>embedding_0</th>\n",
       "      <th>embedding_1</th>\n",
       "      <th>embedding_2</th>\n",
       "      <th>embedding_3</th>\n",
       "      <th>embedding_4</th>\n",
       "      <th>embedding_5</th>\n",
       "      <th>embedding_6</th>\n",
       "      <th>embedding_7</th>\n",
       "      <th>embedding_8</th>\n",
       "      <th>embedding_9</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tconst</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>tt7315746</th>\n",
       "      <td>-0.119862</td>\n",
       "      <td>0.026959</td>\n",
       "      <td>0.050646</td>\n",
       "      <td>-0.010937</td>\n",
       "      <td>-0.013565</td>\n",
       "      <td>0.042157</td>\n",
       "      <td>0.107982</td>\n",
       "      <td>-0.001070</td>\n",
       "      <td>0.038069</td>\n",
       "      <td>-0.034634</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.072076</td>\n",
       "      <td>-0.027147</td>\n",
       "      <td>0.021428</td>\n",
       "      <td>-0.068204</td>\n",
       "      <td>0.067109</td>\n",
       "      <td>0.047062</td>\n",
       "      <td>-0.043452</td>\n",
       "      <td>0.040299</td>\n",
       "      <td>-0.011103</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt3276648</th>\n",
       "      <td>-0.119862</td>\n",
       "      <td>0.026959</td>\n",
       "      <td>0.050646</td>\n",
       "      <td>-0.010937</td>\n",
       "      <td>-0.013565</td>\n",
       "      <td>0.042157</td>\n",
       "      <td>0.107982</td>\n",
       "      <td>-0.001070</td>\n",
       "      <td>0.038069</td>\n",
       "      <td>-0.034634</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.072076</td>\n",
       "      <td>-0.027147</td>\n",
       "      <td>0.021428</td>\n",
       "      <td>-0.068204</td>\n",
       "      <td>0.067109</td>\n",
       "      <td>0.047062</td>\n",
       "      <td>-0.043452</td>\n",
       "      <td>0.040299</td>\n",
       "      <td>-0.011103</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0293886</th>\n",
       "      <td>-0.069404</td>\n",
       "      <td>-0.014174</td>\n",
       "      <td>0.096776</td>\n",
       "      <td>0.063281</td>\n",
       "      <td>0.026093</td>\n",
       "      <td>0.043188</td>\n",
       "      <td>0.013836</td>\n",
       "      <td>0.010707</td>\n",
       "      <td>0.032040</td>\n",
       "      <td>0.020099</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052897</td>\n",
       "      <td>-0.034891</td>\n",
       "      <td>0.062540</td>\n",
       "      <td>-0.049360</td>\n",
       "      <td>0.062275</td>\n",
       "      <td>0.042594</td>\n",
       "      <td>-0.026025</td>\n",
       "      <td>0.052003</td>\n",
       "      <td>0.014169</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0291847</th>\n",
       "      <td>-0.146823</td>\n",
       "      <td>0.073806</td>\n",
       "      <td>0.076284</td>\n",
       "      <td>0.043507</td>\n",
       "      <td>0.081642</td>\n",
       "      <td>0.020665</td>\n",
       "      <td>0.084061</td>\n",
       "      <td>0.031197</td>\n",
       "      <td>0.002106</td>\n",
       "      <td>0.003369</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.035665</td>\n",
       "      <td>-0.068381</td>\n",
       "      <td>0.053902</td>\n",
       "      <td>-0.083436</td>\n",
       "      <td>0.051555</td>\n",
       "      <td>0.091228</td>\n",
       "      <td>-0.099391</td>\n",
       "      <td>-0.009721</td>\n",
       "      <td>0.032885</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt2155321</th>\n",
       "      <td>-0.096969</td>\n",
       "      <td>0.023959</td>\n",
       "      <td>0.073796</td>\n",
       "      <td>-0.004308</td>\n",
       "      <td>0.031075</td>\n",
       "      <td>0.014318</td>\n",
       "      <td>0.116965</td>\n",
       "      <td>-0.065161</td>\n",
       "      <td>0.138379</td>\n",
       "      <td>-0.069450</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.080680</td>\n",
       "      <td>-0.030006</td>\n",
       "      <td>0.038346</td>\n",
       "      <td>0.032829</td>\n",
       "      <td>0.055954</td>\n",
       "      <td>0.160651</td>\n",
       "      <td>-0.044824</td>\n",
       "      <td>-0.030080</td>\n",
       "      <td>-0.035892</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 385 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           embedding_0  embedding_1  embedding_2  embedding_3  embedding_4  \\\n",
       "tconst                                                                       \n",
       "tt7315746    -0.119862     0.026959     0.050646    -0.010937    -0.013565   \n",
       "tt3276648    -0.119862     0.026959     0.050646    -0.010937    -0.013565   \n",
       "tt0293886    -0.069404    -0.014174     0.096776     0.063281     0.026093   \n",
       "tt0291847    -0.146823     0.073806     0.076284     0.043507     0.081642   \n",
       "tt2155321    -0.096969     0.023959     0.073796    -0.004308     0.031075   \n",
       "\n",
       "           embedding_5  embedding_6  embedding_7  embedding_8  embedding_9  \\\n",
       "tconst                                                                       \n",
       "tt7315746     0.042157     0.107982    -0.001070     0.038069    -0.034634   \n",
       "tt3276648     0.042157     0.107982    -0.001070     0.038069    -0.034634   \n",
       "tt0293886     0.043188     0.013836     0.010707     0.032040     0.020099   \n",
       "tt0291847     0.020665     0.084061     0.031197     0.002106     0.003369   \n",
       "tt2155321     0.014318     0.116965    -0.065161     0.138379    -0.069450   \n",
       "\n",
       "           ...  embedding_375  embedding_376  embedding_377  embedding_378  \\\n",
       "tconst     ...                                                               \n",
       "tt7315746  ...      -0.072076      -0.027147       0.021428      -0.068204   \n",
       "tt3276648  ...      -0.072076      -0.027147       0.021428      -0.068204   \n",
       "tt0293886  ...      -0.052897      -0.034891       0.062540      -0.049360   \n",
       "tt0291847  ...      -0.035665      -0.068381       0.053902      -0.083436   \n",
       "tt2155321  ...      -0.080680      -0.030006       0.038346       0.032829   \n",
       "\n",
       "           embedding_379  embedding_380  embedding_381  embedding_382  \\\n",
       "tconst                                                                  \n",
       "tt7315746       0.067109       0.047062      -0.043452       0.040299   \n",
       "tt3276648       0.067109       0.047062      -0.043452       0.040299   \n",
       "tt0293886       0.062275       0.042594      -0.026025       0.052003   \n",
       "tt0291847       0.051555       0.091228      -0.099391      -0.009721   \n",
       "tt2155321       0.055954       0.160651      -0.044824      -0.030080   \n",
       "\n",
       "           embedding_383  cluster  \n",
       "tconst                             \n",
       "tt7315746      -0.011103       83  \n",
       "tt3276648      -0.011103       83  \n",
       "tt0293886       0.014169       83  \n",
       "tt0291847       0.032885       83  \n",
       "tt2155321      -0.035892       83  \n",
       "\n",
       "[5 rows x 385 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 가장 유사한 5개 영화의 인덱스: [4989 5004 7450 7156 5577]\n",
    "# 가장 유사한 5개 영화의 tconst 출력\n",
    "metadata_overview_only.iloc[similar_indices]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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