





'''simple docstring'''




import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer






def 			_lowerCAmelCase     (    __snake_case    :					List[str]     )	->	Any:

     if (
         (cp >= 0x4_e_0_0 and cp <= 0x9_f_f_f)
         or (cp >= 0x3_4_0_0 and cp <= 0x4_d_b_f)  #
         or (cp >= 0x2_0_0_0_0 and cp <= 0x2_a_6_d_f)  #
         or (cp >= 0x2_a_7_0_0 and cp <= 0x2_b_7_3_f)  #
         or (cp >= 0x2_b_7_4_0 and cp <= 0x2_b_8_1_f)  #
         or (cp >= 0x2_b_8_2_0 and cp <= 0x2_c_e_a_f)  #
         or (cp >= 0xf_9_0_0 and cp <= 0xf_a_f_f)
         or (cp >= 0x2_f_8_0_0 and cp <= 0x2_f_a_1_f)  #
     ):  #
          return True

     return False






def 			_lowerCAmelCase     (    __snake_case    :					Dict     )	->	Optional[Any]:

     for char in word:
          __A		:					List[str]						=			ord(lowercase_     )
          if not _is_chinese_char(lowercase_     ):
               return 0
     return 1






def 			_lowerCAmelCase     (    __snake_case    :					Union[str, Any]     )	->	Dict:
     __A		:					List[Any]						=			set()

     for token in tokens:
          __A		:					Union[str, Any]						=			len(lowercase_     ) > 1 and is_chinese(lowercase_     )
          if chinese_word:
               word_set.add(lowercase_     )
     __A		:					List[Any]						=			list(lowercase_     )
     return word_list






def 			_lowerCAmelCase     (    __snake_case    :					int					,				__snake_case    :					List[str]     )	->	Optional[Any]:

     if not chinese_word_set:
          return bert_tokens
     __A		:					Tuple						=			max([len(lowercase_     ) for w in chinese_word_set]     )

     __A		:					List[Any]						=			bert_tokens
     __A		:					int						=			0, len(lowercase_     )
     while start < end:
          __A		:					Dict						=			True
          if is_chinese(bert_word[start]     ):
               __A		:					List[Any]						=			min(end - start					,				lowercase_     )
               for i in range(lowercase_					,				1					,				-1     ):
                    __A		:					List[Any]						=			"".join(bert_word[start : start + i]     )
                    if whole_word in chinese_word_set:
                         for j in range(start + 1					,				start + i     ):
                              __A		:					Dict						=			"##" + bert_word[j]
                         __A		:					List[Any]						=			start + i
                         __A		:					Optional[Any]						=			False
                         break
          if single_word:
               start += 1
     return bert_word






def 			_lowerCAmelCase     (    __snake_case    :					int					,				__snake_case    :					List[str]					,				__snake_case    :					List[Any]     )	->	List[str]:
     __A		:					Optional[Any]						=			[]

     for i in range(0					,				len(lowercase_     )					,				1_00     ):
          __A		:					Dict						=			ltp_tokenizer.seg(lines[i : i + 1_00]     )[0]
          __A		:					int						=			[get_chinese_word(lowercase_     ) for r in res]
          ltp_res.extend(lowercase_     )
     assert len(lowercase_     ) == len(lowercase_     )

     __A		:					Any						=			[]
     for i in range(0					,				len(lowercase_     )					,				1_00     ):
          __A		:					str						=			bert_tokenizer(lines[i : i + 1_00]					,				add_special_tokens=lowercase_					,				truncation=lowercase_					,				max_length=5_12     )
          bert_res.extend(res['input_ids']     )
     assert len(lowercase_     ) == len(lowercase_     )

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

     assert len(lowercase_     ) == len(lowercase_     )

     return ref_ids






def 			_lowerCAmelCase     (    __snake_case    :					str     )	->	Optional[Any]:

     with open(args.file_name					,				'r'					,				encoding='utf-8'     ) as f:
          __A		:					Tuple						=			f.readlines()
     __A		:					Any						=			[line.strip() for line in data if len(lowercase_     ) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
     __A		:					str						=			LTP(args.ltp     )  # faster in GPU device
     __A		:					Tuple						=			BertTokenizer.from_pretrained(args.bert     )

     __A		:					Optional[int]						=			prepare_ref(lowercase_					,				lowercase_					,				lowercase_     )

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


if __name__ == "__main__":
  lowercase__       : Any         =       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''')

  lowercase__       : Dict         =       parser.parse_args()
  main(args)






"""simple docstring"""


import random
from typing import Any




def        lowercase__     (       lowercase_      )       ->		list[Any]:




      """simple docstring"""

      for _ in range(len(lowercase_      )      ):
            _UpperCamelCase   :						Dict    =							random.randint(0		,len(lowercase_      ) - 1      )
            _UpperCamelCase   :						str    =							random.randint(0		,len(lowercase_      ) - 1      )
            _UpperCamelCase,	_UpperCamelCase   :						Optional[Any]    =							data[b], data[a]
      return data


if __name__ == "__main__":
  lowerCamelCase__						= [0, 1, 2, 3, 4, 5, 6, 7]
  lowerCamelCase__						= ["python", "says", "hello", "!"]
  print("Fisher-Yates Shuffle:")
  print("List", integers, strings)
  print("FY Shuffle", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))
