






"""simple docstring"""



from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers

class 			a	:







    def __init__(     self				,						_lowerCamelCase			):
      lowercase				       =			vocab
      lowercase				       =			normalizers.BertNormalizer(
          clean_text=_lowerCamelCase				,						handle_chinese_chars=_lowerCamelCase				,						strip_accents=_lowerCamelCase				,						lowercase=_lowerCamelCase				,						)
      try:
        import rjieba
      except ImportError:
        raise ImportError(
            'You need to install rjieba to use RoFormerTokenizer. '
            'See https://pypi.org/project/rjieba/ for installation.'			)
      lowercase				       =			rjieba







    def      UpperCamelCase_ (     self				,						_lowerCamelCase				,						_lowerCamelCase			):
      lowercase				       =			[]

      # this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
      for token, start, end in self.jieba.tokenize(str(_lowerCamelCase			)				,						hmm=_lowerCamelCase			):
        if token in self.vocab:
          splits.append(normalized_string[start:end]			)
        else:
          lowercase				       =			self.normalizers.normalize_str(_lowerCamelCase			).split()
          for token in token_list:
            if token:
              lowercase				       =			start + len(_lowerCamelCase			)
              splits.append(normalized_string[start:end]			)
              lowercase				       =			end

        # this code test_alignement_methods can't pass but fast (300ms)
        # for token in self.jieba.cut(str(normalized_string), False):
        #     if token in self.vocab:
        #         splits.append(NormalizedString(token))
        #     else:
        #         token_list = self.normalizers.normalize_str(token).split()
        #         for token in token_list:
        #             if token:
        #                 splits.append(NormalizedString(token))

      return splits







    def      UpperCamelCase_ (     self				,						_lowerCamelCase			):
      pretok.split(self.jieba_split			)







"""simple docstring"""
def   A_    (     _lowercase,   _lowercase,   _lowercase,   _lowercase      ):







						'''simple docstring'''


						snake_case_					:Dict		=     int((lower_bound + upper_bound) // 2      )
						if array[r] == value:
												return r
						if lower_bound >= upper_bound:
												return -1
						if array[r] < value:
												return binary_search(_lowercase,   r + 1,   _lowercase,   _lowercase      )
						else:
												return binary_search(_lowercase,   _lowercase,   r - 1,   _lowercase      )
def   A_    (     _lowercase,   _lowercase      ):







						'''simple docstring'''


						snake_case_					:Any		=     0
						if matrix[index][0] == value:
												return [index, 0]
						while index < len(_lowercase      ) and matrix[index][0] < value:
												snake_case_					:List[str]		=     binary_search(matrix[index],   0,   len(matrix[index]      ) - 1,   _lowercase      )
												if r != -1:
																		return [index, r]
												index += 1
						return [-1, -1]


if __name__ == "__main__":
						import doctest

						doctest.testmod()
