"""simple docstring"""


from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers






class        __UpperCAmelCase						:

    def __init__(				self     ,			_lowerCamelCase				):
          lowerCamelCase__ =vocab
          lowerCamelCase__ =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."				)
          lowerCamelCase__ =rjieba

    def 		_a     (				self     ,			_lowerCamelCase     ,			_lowerCamelCase				):
          lowerCamelCase__ =[]

          # 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:
                      lowerCamelCase__ =self.normalizers.normalize_str(_lowerCamelCase				).split()
                      for token in token_list:
                            if token:
                                  lowerCamelCase__ =start + len(_lowerCamelCase				)
                                  splits.append(normalized_string[start:end]				)
                                  lowerCamelCase__ =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 		_a     (				self     ,			_lowerCamelCase				):
          pretok.split(self.jieba_split				)



"""simple docstring"""


def       lowerCamelCase_			( __lowerCAmelCase    )							-> bool:




						'''simple docstring'''



						if not isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												raise ValueError("Input series is not valid, valid series - [2, 4, 8]"    )
						if len(__lowerCAmelCase    ) == 0:
												raise ValueError("Input list must be a non empty list"    )
						if len(__lowerCAmelCase    ) == 1:
												return True
						try:
												lowerCamelCase__ =series[1] / series[0]
												for index in range(len(__lowerCAmelCase    ) - 1    ):
																		if series[index + 1] / series[index] != common_ratio:
																								return False
						except ZeroDivisionError:
												return False
						return True





def       lowerCamelCase_			( __lowerCAmelCase    )							-> float:




						'''simple docstring'''



						if not isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												raise ValueError("Input series is not valid, valid series - [2, 4, 8]"    )
						if len(__lowerCAmelCase    ) == 0:
												raise ValueError("Input list must be a non empty list"    )
						lowerCamelCase__ =1
						for value in series:
												answer *= value
						return pow(__lowerCAmelCase       ,   1 / len(__lowerCAmelCase    )    )


if __name__ == "__main__":
	import doctest

	doctest.testmod()


