






'''simple docstring'''

import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer







def 					lowercase__				(   __UpperCamelCase					)->				Any:



      if (
          (cp >= 0X4E00 and cp <= 0X9FFF)
          or (cp >= 0X3400 and cp <= 0X4DBF)  #
          or (cp >= 0X2_0000 and cp <= 0X2_A6DF)  #
          or (cp >= 0X2_A700 and cp <= 0X2_B73F)  #
          or (cp >= 0X2_B740 and cp <= 0X2_B81F)  #
          or (cp >= 0X2_B820 and cp <= 0X2_CEAF)  #
          or (cp >= 0XF900 and cp <= 0XFAFF)
          or (cp >= 0X2_F800 and cp <= 0X2_FA1F)  #
      ):  #
            return True

      return False







def 					lowercase__				(   __UpperCamelCase					)->				Optional[Any]:



      for char in word:
            UpperCamelCase       						=      ord(_lowerCamelCase					)
            if not _is_chinese_char(_lowerCamelCase					):
                  return 0
      return 1







def 					lowercase__				(   __UpperCamelCase					)->				int:
      UpperCamelCase       						=      set()

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







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase					)->				str:



      if not chinese_word_set:
            return bert_tokens
      UpperCamelCase       						=      max([len(_lowerCamelCase					) for w in chinese_word_set]					)

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







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase	,		__UpperCamelCase					)->				Optional[Any]:
      UpperCamelCase       						=      []

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

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

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

      assert len(_lowerCamelCase					) == len(_lowerCamelCase					)

      return ref_ids







def 					lowercase__				(   __UpperCamelCase					)->				int:



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

      UpperCamelCase       						=      prepare_ref(_lowerCamelCase	,		_lowerCamelCase	,		_lowerCamelCase					)

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


if __name__ == "__main__":
     SCREAMING_SNAKE_CASE__											=     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')

     SCREAMING_SNAKE_CASE__											=     parser.parse_args()
     main(args)








'''simple docstring'''

def 					lowercase__				(   __UpperCamelCase					)->				str:
      if not all(char in """01""" for char in bin_string					):
            raise ValueError("""Non-binary value was passed to the function"""					)
      if not bin_string:
            raise ValueError("""Empty string was passed to the function"""					)
      UpperCamelCase       						=      """"""
      while len(__UpperCamelCase					) % 3 != 0:
            UpperCamelCase       						=      """0""" + bin_string
      UpperCamelCase       						=      [
          bin_string[index : index + 3]
          for index in range(len(__UpperCamelCase					)					)
          if index % 3 == 0
      ]
      for bin_group in bin_string_in_3_list:
            UpperCamelCase       						=      0
            for index, val in enumerate(__UpperCamelCase					):
                  oct_val += int(2 ** (2 - index) * int(__UpperCamelCase					)					)
            oct_string += str(__UpperCamelCase					)
      return oct_string


if __name__ == "__main__":
     from doctest import testmod

     testmod()
