






"""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'''
import math







def 				__UpperCamelCase (					__UpperCAmelCase  :					str			)							->	Optional[int]:
  lowercase				:							Tuple									=   0
  if n % 2 == 0:
    count += 1
    while n % 2 == 0:
      lowercase				:							Optional[int]									=   int(n / 2			)
    # the n input value must be odd so that
    # we can skip one element (ie i += 2)

  lowercase				:							Dict									=   3

  while i <= int(math.sqrt(__UpperCAmelCase			)			):
    if n % i == 0:
      count += 1
      while n % i == 0:
        lowercase				:							Dict									=   int(n / i			)
    lowercase				:							List[Any]									=   i + 2

  # this condition checks the prime
  # number n is greater than 2

  if n > 2:
    count += 1
  return count


if __name__ == "__main__":
 _A		:      List[Any]						   =5_1_2_4_2_1_8_3
 print(f"""The number of distinct prime factors is/are {exact_prime_factor_count(n)}""")
 print(f"""The value of log(log(n)) is {math.log(math.log(n)):.4f}""")