




'''simple docstring'''


import os
import pickle
import unittest

from transformers import AutoTokenizer
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.models.bert_japanese.tokenization_bert_japanese import (
    VOCAB_FILES_NAMES,
    BertJapaneseTokenizer,
    CharacterTokenizer,
    JumanppTokenizer,
    MecabTokenizer,
    SudachiTokenizer,
    WordpieceTokenizer,
)
from transformers.testing_utils import custom_tokenizers, require_jumanpp, require_sudachi

from ...test_tokenization_common import TokenizerTesterMixin





@custom_tokenizers
class    __lowercase						(  __magic_name__       ,							unittest.TestCase ):
   _a							=      BertJapaneseTokenizer
   _a							=      False
   _a							=      True







   def 		UpperCamelCase__			(	self      )				->    Union[str, Any]:
     super().setUp()

     __a			=					[
         '[UNK]',
         '[CLS]',
         '[SEP]',
         'こんにちは',
         'こん',
         'にちは',
         'ばんは',
         '##こん',
         '##にちは',
         '##ばんは',
         '世界',
         '##世界',
         '、',
         '##、',
         '。',
         '##。',
     ]

     __a			=					os.path.join(self.tmpdirname      ,							VOCAB_FILES_NAMES['vocab_file']      )
     with open(self.vocab_file      ,							'w'      ,							encoding='utf-8'      ) as vocab_writer:
       vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]      )      )







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase      )				->    Union[str, Any]:
     __a			=					'こんにちは、世界。 \nこんばんは、世界。'
     __a			=					'こんにちは 、 世界 。 こんばんは 、 世界 。'
     return input_text, output_text







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase      )				->    Any:
     __a	,       __a			=					self.get_input_output_texts(UpperCamelCase      )
     __a			=					tokenizer.encode(UpperCamelCase      ,							add_special_tokens=UpperCamelCase      )
     __a			=					tokenizer.decode(UpperCamelCase      ,							clean_up_tokenization_spaces=UpperCamelCase      )
     return text, ids







   def 		UpperCamelCase__			(	self      )				->    Optional[int]:
     pass  # TODO add if relevant







   def 		UpperCamelCase__			(	self      )				->    List[str]:
     pass  # TODO add if relevant







   def 		UpperCamelCase__			(	self      )				->    List[str]:
     pass  # TODO add if relevant







   def 		UpperCamelCase__			(	self      )				->    Union[str, Any]:
     __a			=					self.tokenizer_class(self.vocab_file      )

     __a			=					tokenizer.tokenize('こんにちは、世界。\nこんばんは、世界。'      )
     self.assertListEqual(UpperCamelCase      ,							['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']      )
     self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase      )      ,							[3, 12, 10, 14, 4, 9, 12, 10, 14]      )







   def 		UpperCamelCase__			(	self      )				->    Optional[int]:
     __a			=					self.tokenizer_class(self.vocab_file      ,							word_tokenizer_type='mecab'      )
     self.assertIsNotNone(UpperCamelCase      )

     __a			=					'こんにちは、世界。\nこんばんは、世界。'
     __a			=					tokenizer.tokenize(UpperCamelCase      )
     self.assertListEqual(UpperCamelCase      ,							['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']      )
     self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase      )      ,							[3, 12, 10, 14, 4, 9, 12, 10, 14]      )

     __a			=					os.path.join(self.tmpdirname      ,							'tokenizer.bin'      )
     with open(UpperCamelCase      ,							'wb'      ) as handle:
       pickle.dump(UpperCamelCase      ,							UpperCamelCase      )

     with open(UpperCamelCase      ,							'rb'      ) as handle:
       __a			=					pickle.load(UpperCamelCase      )

     __a			=					tokenizer_new.tokenize(UpperCamelCase      )

     self.assertListEqual(UpperCamelCase      ,							UpperCamelCase      )







   def 		UpperCamelCase__			(	self      )				->    List[str]:
     __a			=					MecabTokenizer(mecab_dic='ipadic'      )

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['アップルストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。']      ,							)







   def 		UpperCamelCase__			(	self      )				->    Union[str, Any]:
     try:
       __a			=					MecabTokenizer(mecab_dic='unidic_lite'      )
     except ModuleNotFoundError:
       return

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。']      ,							)







   def 		UpperCamelCase__			(	self      )				->    List[Any]:
     try:
       __a			=					MecabTokenizer(mecab_dic='unidic'      )
     except ModuleNotFoundError:
       return

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。']      ,							)







   def 		UpperCamelCase__			(	self      )				->    List[Any]:
     __a			=					MecabTokenizer(do_lower_case=UpperCamelCase      ,							mecab_dic='ipadic'      )

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['アップルストア', 'で', 'iphone', '8', 'が', '発売', 'さ', 'れ', 'た', '。']      ,							)







   def 		UpperCamelCase__			(	self      )				->    Dict:
     try:
       __a			=					MecabTokenizer(
           do_lower_case=UpperCamelCase      ,							normalize_text=UpperCamelCase      ,							mecab_option='-d /usr/local/lib/mecab/dic/jumandic'      )
     except RuntimeError:
       # if dict doesn't exist in the system, previous code raises this error.
       return

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['ｱｯﾌﾟﾙストア', 'で', 'iPhone', '８', 'が', '発売', 'さ', 'れた', '\u3000', '。']      ,							)







   def 		UpperCamelCase__			(	self      )				->    Any:
     __a			=					MecabTokenizer(normalize_text=UpperCamelCase      ,							mecab_dic='ipadic'      )

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['ｱｯﾌﾟﾙストア', 'で', 'iPhone', '８', 'が', '発売', 'さ', 'れ', 'た', '　', '。']      ,							)







   @require_sudachi
   def 		UpperCamelCase__			(	self      )				->    List[str]:
     __a			=					self.tokenizer_class(self.vocab_file      ,							word_tokenizer_type='sudachi'      )
     self.assertIsNotNone(UpperCamelCase      )

     __a			=					'こんにちは、世界。\nこんばんは、世界。'
     __a			=					tokenizer.tokenize(UpperCamelCase      )
     self.assertListEqual(UpperCamelCase      ,							['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']      )
     self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase      )      ,							[3, 12, 10, 14, 4, 9, 12, 10, 14]      )

     __a			=					os.path.join(self.tmpdirname      ,							'tokenizer.bin'      )
     with open(UpperCamelCase      ,							'wb'      ) as handle:
       pickle.dump(UpperCamelCase      ,							UpperCamelCase      )

     with open(UpperCamelCase      ,							'rb'      ) as handle:
       __a			=					pickle.load(UpperCamelCase      )

     __a			=					tokenizer_new.tokenize(UpperCamelCase      )

     self.assertListEqual(UpperCamelCase      ,							UpperCamelCase      )







   @require_sudachi
   def 		UpperCamelCase__			(	self      )				->    Any:
     __a			=					SudachiTokenizer(sudachi_dict_type='core'      )

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							[' ', '\t', 'アップル', 'ストア', 'で', 'iPhone', '8', ' ', 'が', ' ', ' ', '\n ', '発売', 'さ', 'れ', 'た', ' ', '。', ' ', ' ']      ,							)







   @require_sudachi
   def 		UpperCamelCase__			(	self      )				->    Any:
     __a			=					SudachiTokenizer(sudachi_dict_type='core'      ,							sudachi_split_mode='A'      )

     self.assertListEqual(tokenizer.tokenize('外国人参政権'      )      ,							['外国', '人', '参政', '権']      )







   @require_sudachi
   def 		UpperCamelCase__			(	self      )				->    Optional[int]:
     __a			=					SudachiTokenizer(sudachi_dict_type='core'      ,							sudachi_split_mode='B'      )

     self.assertListEqual(tokenizer.tokenize('外国人参政権'      )      ,							['外国人', '参政権']      )







   @require_sudachi
   def 		UpperCamelCase__			(	self      )				->    Optional[int]:
     __a			=					SudachiTokenizer(sudachi_dict_type='core'      ,							sudachi_split_mode='C'      )

     self.assertListEqual(tokenizer.tokenize('外国人参政権'      )      ,							['外国人参政権']      )







   @require_sudachi
   def 		UpperCamelCase__			(	self      )				->    Optional[int]:
     __a			=					SudachiTokenizer(do_lower_case=UpperCamelCase      ,							sudachi_dict_type='core'      )

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							[' ', '\t', 'アップル', 'ストア', 'で', 'iphone', '8', ' ', 'が', ' ', ' ', '\n ', '発売', 'さ', 'れ', 'た', ' ', '。', ' ', ' ']      ,							)







   @require_sudachi
   def 		UpperCamelCase__			(	self      )				->    Any:
     __a			=					SudachiTokenizer(normalize_text=UpperCamelCase      ,							sudachi_dict_type='core'      )

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							[' ', '\t', 'ｱｯﾌﾟﾙ', 'ストア', 'で', 'iPhone', '８', ' ', 'が', ' ', ' ', '\n ', '発売', 'さ', 'れ', 'た', '\u3000', '。', ' ', ' ']      ,							)







   @require_sudachi
   def 		UpperCamelCase__			(	self      )				->    List[str]:
     __a			=					SudachiTokenizer(trim_whitespace=UpperCamelCase      ,							sudachi_dict_type='core'      )

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。']      ,							)







   @require_jumanpp
   def 		UpperCamelCase__			(	self      )				->    Union[str, Any]:
     __a			=					self.tokenizer_class(self.vocab_file      ,							word_tokenizer_type='jumanpp'      )
     self.assertIsNotNone(UpperCamelCase      )

     __a			=					'こんにちは、世界。\nこんばんは、世界。'
     __a			=					tokenizer.tokenize(UpperCamelCase      )
     self.assertListEqual(UpperCamelCase      ,							['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']      )
     self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase      )      ,							[3, 12, 10, 14, 4, 9, 12, 10, 14]      )

     __a			=					os.path.join(self.tmpdirname      ,							'tokenizer.bin'      )
     with open(UpperCamelCase      ,							'wb'      ) as handle:
       pickle.dump(UpperCamelCase      ,							UpperCamelCase      )

     with open(UpperCamelCase      ,							'rb'      ) as handle:
       __a			=					pickle.load(UpperCamelCase      )

     __a			=					tokenizer_new.tokenize(UpperCamelCase      )

     self.assertListEqual(UpperCamelCase      ,							UpperCamelCase      )







   @require_jumanpp
   def 		UpperCamelCase__			(	self      )				->    int:
     __a			=					JumanppTokenizer()

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['アップル', 'ストア', 'で', 'iPhone', '8', '\u3000', 'が', '\u3000', '\u3000', '\u3000', '発売', 'さ', 'れた', '\u3000', '。']      ,							)







   @require_jumanpp
   def 		UpperCamelCase__			(	self      )				->    Any:
     __a			=					JumanppTokenizer(do_lower_case=UpperCamelCase      )

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['アップル', 'ストア', 'で', 'iphone', '8', '\u3000', 'が', '\u3000', '\u3000', '\u3000', '発売', 'さ', 'れた', '\u3000', '。']      ,							)







   @require_jumanpp
   def 		UpperCamelCase__			(	self      )				->    str:
     __a			=					JumanppTokenizer(normalize_text=UpperCamelCase      )

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['ｱ', 'ｯ', 'ﾌ', 'ﾟ', 'ﾙ', 'ストア', 'で', 'iPhone', '８', '\u3000', 'が', '\u3000', '\u3000', '\u3000', '発売', 'さ', 'れた', '\u3000', '。']      ,							)







   @require_jumanpp
   def 		UpperCamelCase__			(	self      )				->    Any:
     __a			=					JumanppTokenizer(trim_whitespace=UpperCamelCase      )

     self.assertListEqual(
         tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '      )      ,							['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れた', '。']      ,							)







   @require_jumanpp
   def 		UpperCamelCase__			(	self      )				->    Tuple:
     __a			=					JumanppTokenizer()

     self.assertListEqual(
         tokenizer.tokenize('ありがとうございますm(_ _)ｍ見つけるのが大変です。'      )      ,							['ありがとう', 'ございます', 'm(_ _)m', '見つける', 'の', 'が', '大変です', '。']      ,							)







   def 		UpperCamelCase__			(	self      )				->    Optional[int]:
     __a			=					['[UNK]', '[CLS]', '[SEP]', 'こんにちは', 'こん', 'にちは', 'ばんは', '##こん', '##にちは', '##ばんは']

     __a			=					{}
     for i, token in enumerate(UpperCamelCase      ):
       __a			=					i
     __a			=					WordpieceTokenizer(vocab=UpperCamelCase      ,							unk_token='[UNK]'      )

     self.assertListEqual(tokenizer.tokenize(''      )      ,							[]      )

     self.assertListEqual(tokenizer.tokenize('こんにちは'      )      ,							['こんにちは']      )

     self.assertListEqual(tokenizer.tokenize('こんばんは'      )      ,							['こん', '##ばんは']      )

     self.assertListEqual(tokenizer.tokenize('こんばんは こんばんにちは こんにちは'      )      ,							['こん', '##ばんは', '[UNK]', 'こんにちは']      )







   def 		UpperCamelCase__			(	self      )				->    List[Any]:
     __a			=					BertJapaneseTokenizer.from_pretrained('nlp-waseda/roberta-base-japanese-with-auto-jumanpp'      )
     __a			=					tokenizer.subword_tokenizer

     __a			=					subword_tokenizer.tokenize('国境 の 長い トンネル を 抜ける と 雪国 であった 。'      )
     self.assertListEqual(UpperCamelCase      ,							['▁国境', '▁の', '▁長い', '▁トンネル', '▁を', '▁抜ける', '▁と', '▁雪', '国', '▁であった', '▁。']      )

     __a			=					subword_tokenizer.tokenize('こんばんは こんばん にち は こんにちは'      )
     self.assertListEqual(UpperCamelCase      ,							['▁こん', 'ばん', 'は', '▁こん', 'ばん', '▁に', 'ち', '▁は', '▁こんにちは']      )







   def 		UpperCamelCase__			(	self      )				->    Any:
     __a			=					self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese'      )

     __a			=					tokenizer.encode('ありがとう。'      ,							add_special_tokens=UpperCamelCase      )
     __a			=					tokenizer.encode('どういたしまして。'      ,							add_special_tokens=UpperCamelCase      )

     __a			=					tokenizer.build_inputs_with_special_tokens(UpperCamelCase      )
     __a			=					tokenizer.build_inputs_with_special_tokens(UpperCamelCase      ,							UpperCamelCase      )

     # 2 is for "[CLS]", 3 is for "[SEP]"
     assert encoded_sentence == [2] + text + [3]
     assert encoded_pair == [2] + text + [3] + text_a + [3]





@custom_tokenizers
class    __lowercase						(  __magic_name__       ,							unittest.TestCase ):
   _a							=      BertJapaneseTokenizer
   _a							=      False







   def 		UpperCamelCase__			(	self      )				->    int:
     super().setUp()

     __a			=					['[UNK]', '[CLS]', '[SEP]', 'こ', 'ん', 'に', 'ち', 'は', 'ば', '世', '界', '、', '。']

     __a			=					os.path.join(self.tmpdirname      ,							VOCAB_FILES_NAMES['vocab_file']      )
     with open(self.vocab_file      ,							'w'      ,							encoding='utf-8'      ) as vocab_writer:
       vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]      )      )







   def 		UpperCamelCase__			(	self      ,							**UpperCamelCase      )				->    str:
     return BertJapaneseTokenizer.from_pretrained(self.tmpdirname      ,							subword_tokenizer_type='character'      ,							**UpperCamelCase      )







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase      )				->    Tuple:
     __a			=					'こんにちは、世界。 \nこんばんは、世界。'
     __a			=					'こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。'
     return input_text, output_text







   def 		UpperCamelCase__			(	self      )				->    Optional[int]:
     pass  # TODO add if relevant







   def 		UpperCamelCase__			(	self      )				->    str:
     pass  # TODO add if relevant







   def 		UpperCamelCase__			(	self      )				->    Optional[Any]:
     pass  # TODO add if relevant







   def 		UpperCamelCase__			(	self      )				->    List[Any]:
     __a			=					self.tokenizer_class(self.vocab_file      ,							subword_tokenizer_type='character'      )

     __a			=					tokenizer.tokenize('こんにちは、世界。 \nこんばんは、世界。'      )
     self.assertListEqual(
         UpperCamelCase      ,							['こ', 'ん', 'に', 'ち', 'は', '、', '世', '界', '。', 'こ', 'ん', 'ば', 'ん', 'は', '、', '世', '界', '。']      )
     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(UpperCamelCase      )      ,							[3, 4, 5, 6, 7, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12]      )







   def 		UpperCamelCase__			(	self      )				->    List[Any]:
     __a			=					['[UNK]', '[CLS]', '[SEP]', 'こ', 'ん', 'に', 'ち', 'は', 'ば', '世', '界', '、', '。']

     __a			=					{}
     for i, token in enumerate(UpperCamelCase      ):
       __a			=					i
     __a			=					CharacterTokenizer(vocab=UpperCamelCase      ,							unk_token='[UNK]'      )

     self.assertListEqual(tokenizer.tokenize(''      )      ,							[]      )

     self.assertListEqual(tokenizer.tokenize('こんにちは'      )      ,							['こ', 'ん', 'に', 'ち', 'は']      )

     self.assertListEqual(tokenizer.tokenize('こんにちほ'      )      ,							['こ', 'ん', 'に', 'ち', '[UNK]']      )







   def 		UpperCamelCase__			(	self      )				->    Union[str, Any]:
     __a			=					self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese-char'      )

     __a			=					tokenizer.encode('ありがとう。'      ,							add_special_tokens=UpperCamelCase      )
     __a			=					tokenizer.encode('どういたしまして。'      ,							add_special_tokens=UpperCamelCase      )

     __a			=					tokenizer.build_inputs_with_special_tokens(UpperCamelCase      )
     __a			=					tokenizer.build_inputs_with_special_tokens(UpperCamelCase      ,							UpperCamelCase      )

     # 2 is for "[CLS]", 3 is for "[SEP]"
     assert encoded_sentence == [2] + text + [3]
     assert encoded_pair == [2] + text + [3] + text_a + [3]





@custom_tokenizers
class    __lowercase						(  unittest.TestCase ):







   def 		UpperCamelCase__			(	self      )				->    int:
     __a			=					'cl-tohoku/bert-base-japanese'
     __a			=					AutoTokenizer.from_pretrained(UpperCamelCase      )
     self.assertIsInstance(UpperCamelCase      ,							UpperCamelCase      )





class    __lowercase						(  unittest.TestCase ):







   def 		UpperCamelCase__			(	self      )				->    List[str]:
     __a			=					'cl-tohoku/bert-base-japanese'
     with self.assertLogs('transformers'      ,							level='WARNING'      ) as cm:
       BertTokenizer.from_pretrained(UpperCamelCase      )
       self.assertTrue(
           cm.records[0].message.startswith(
               'The tokenizer class you load from this checkpoint is not the same type as the class this function'
               ' is called from.'      )      )
     __a			=					'bert-base-cased'
     with self.assertLogs('transformers'      ,							level='WARNING'      ) as cm:
       BertJapaneseTokenizer.from_pretrained(UpperCamelCase      )
       self.assertTrue(
           cm.records[0].message.startswith(
               'The tokenizer class you load from this checkpoint is not the same type as the class this function'
               ' is called from.'      )      )









'''simple docstring'''


import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer


def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple			):
  # This defines a "chinese character" as anything in the CJK Unicode block:
  #   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
  #
  # Note that the CJK Unicode block is NOT all Japanese and Korean characters,
  # despite its name. The modern Korean Hangul alphabet is a different block,
  # as is Japanese Hiragana and Katakana. Those alphabets are used to write
  # space-separated words, so they are not treated specially and handled
  # like the all of the other languages.
  if (
      (cp >= 0X4e00 and cp <= 0X9fff)
      or (cp >= 0X3400 and cp <= 0X4dbf)  #
      or (cp >= 0X20000 and cp <= 0X2a6df)  #
      or (cp >= 0X2a700 and cp <= 0X2b73f)  #
      or (cp >= 0X2b740 and cp <= 0X2b81f)  #
      or (cp >= 0X2b820 and cp <= 0X2ceaf)  #
      or (cp >= 0Xf900 and cp <= 0Xfaff)
      or (cp >= 0X2f800 and cp <= 0X2fa1f)  #
  ):  #
    return True

  return False


def 						SCREAMING_SNAKE_CASE       (      a_	:							str			):
  # word like '180' or '身高' or '神'
  for char in word:
    __a			=					ord(a_			)
    if not _is_chinese_char(a_			):
      return 0
  return 1


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]			):
  __a			=					set()

  for token in tokens:
    __a			=					len(a_			) > 1 and is_chinese(a_			)
    if chinese_word:
      word_set.add(a_			)
  __a			=					list(a_			)
  return word_list


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]				,					a_	:							set()			):
  if not chinese_word_set:
    return bert_tokens
  __a			=					max([len(a_			) for w in chinese_word_set]			)

  __a			=					bert_tokens
  __a	,       __a			=					0, len(a_			)
  while start < end:
    __a			=					True
    if is_chinese(bert_word[start]			):
      __a			=					min(end - start				,					a_			)
      for i in range(a_				,					1				,					-1			):
        __a			=					''.join(bert_word[start : start + i]			)
        if whole_word in chinese_word_set:
          for j in range(start + 1				,					start + i			):
            __a			=					'##' + bert_word[j]
          __a			=					start + i
          __a			=					False
          break
    if single_word:
      start += 1
  return bert_word


def 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]				,					a_	:							LTP				,					a_	:							BertTokenizer			):
  __a			=					[]

  for i in range(0				,					len(a_			)				,					100			):
    __a			=					ltp_tokenizer.seg(lines[i : i + 100]			)[0]
    __a			=					[get_chinese_word(a_			) for r in res]
    ltp_res.extend(a_			)
  assert len(a_			) == len(a_			)

  __a			=					[]
  for i in range(0				,					len(a_			)				,					100			):
    __a			=					bert_tokenizer(lines[i : i + 100]				,					add_special_tokens=a_				,					truncation=a_				,					max_length=512			)
    bert_res.extend(res['input_ids']			)
  assert len(a_			) == len(a_			)

  __a			=					[]
  for input_ids, chinese_word in zip(a_				,					a_			):
    __a			=					[]
    for id in input_ids:
      __a			=					bert_tokenizer._convert_id_to_token(a_			)
      input_tokens.append(a_			)
    __a			=					add_sub_symbol(a_				,					a_			)
    __a			=					[]
    # We only save pos of chinese subwords start with ##, which mean is part of a whole word.
    for i, token in enumerate(a_			):
      if token[:2] == "##":
        __a			=					token[2:]
        # save chinese tokens' pos
        if len(a_			) == 1 and _is_chinese_char(ord(a_			)			):
          ref_id.append(a_			)
    ref_ids.append(a_			)

  assert len(a_			) == len(a_			)

  return ref_ids


def 						SCREAMING_SNAKE_CASE       (      a_	:							str			):
  # For Chinese (Ro)Bert, the best result is from : RoBERTa-wwm-ext (https://github.com/ymcui/Chinese-BERT-wwm)
  # If we want to fine-tune these model, we have to use same tokenizer : LTP (https://github.com/HIT-SCIR/ltp)
  with open(args.file_name				,					'r'				,					encoding='utf-8'			) as f:
    __a			=					f.readlines()
  __a			=					[line.strip() for line in data if len(a_			) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
  __a			=					LTP(args.ltp			)  # faster in GPU device
  __a			=					BertTokenizer.from_pretrained(args.bert			)

  __a			=					prepare_ref(a_				,					a_				,					a_			)

  with open(args.save_path				,					'w'				,					encoding='utf-8'			) as f:
    __a			=					[json.dumps(a_			) + '\n' for ref in ref_ids]
    f.writelines(a_			)


if __name__ == "__main__":
  UpperCAmelCase_ 		=      argparse.ArgumentParser(description="prepare_chinese_ref")
  parser.add_argument(
      "--file_name",
      type=str,
      default="./resources/chinese-demo.txt",
      help="file need process, same as training data in lm",
  )
  parser.add_argument(
      "--ltp", type=str, default="./resources/ltp", help="resources for LTP tokenizer, usually a path"
  )
  parser.add_argument("--bert", type=str, default="./resources/robert", help="resources for Bert tokenizer")
  parser.add_argument("--save_path", type=str, default="./resources/ref.txt", help="path to save res")

  UpperCAmelCase_ 		=      parser.parse_args()
  main(args)



