from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers






class SCREAMING_SNAKE_CASE_		:







   def __init__(    self	:	Union[str, Any]      ,      lowerCamelCase_	:	Dict							):





    """simple docstring"""


    UpperCamelCase      =			vocab
    UpperCamelCase      =			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."""							)
    UpperCamelCase      =			rjieba







   def 	lowerCamelCase_  (    self	:	str      ,      lowerCamelCase_	:	Optional[Any]      ,      lowerCamelCase_	:	Union[str, Any]							):





    """simple docstring"""


    UpperCamelCase      =			[]

    # 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:
      UpperCamelCase      =			self.normalizers.normalize_str(lowerCamelCase_							).split()
      for token in token_list:
       if token:
        UpperCamelCase      =			start + len(lowerCamelCase_							)
        splits.append(normalized_string[start:end]							)
        UpperCamelCase      =			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 	lowerCamelCase_  (    self	:	Optional[int]      ,      lowerCamelCase_	:	Union[str, Any]							):





    """simple docstring"""


    pretok.split(self.jieba_split							)

def  lowercase(  UpperCamelCase_					)		->  Optional[int]:







 '''simple docstring'''
 UpperCamelCase      =			len(UpperCamelCase_					)
 for i in range(length - 1					):
  UpperCamelCase      =			False
  for j in range(length - 1 - i					):
   if collection[j] > collection[j + 1]:
    UpperCamelCase      =			True
    UpperCamelCase     ,    UpperCamelCase      =			collection[j + 1], collection[j]
  if not swapped:
   break  # Stop iteration if the collection is sorted.
 return collection


if __name__ == "__main__":
     import doctest
     import time

     doctest.testmod()

     _SCREAMING_SNAKE_CASE   		=			input("""Enter numbers separated by a comma:""").strip()
     _SCREAMING_SNAKE_CASE   		=			[int(item) for item in user_input.split(""",""")]
     _SCREAMING_SNAKE_CASE   		=			time.process_time()
     print(*bubble_sort(unsorted), sep=""",""")
     print(F'''Processing time: {(time.process_time() - start)%1E9 + 7}''')
