"""simple docstring"""
from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers



class 	lowerCAmelCase_     :



				"""simple docstring"""

				def __init__(					self		,     lowerCAmelCase     ):






										"""simple docstring"""

										snake_case             =      vocab
										snake_case             =      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.'     )
										snake_case             =      rjieba

				def 		snake_case			(					self		,     lowerCAmelCase		,     lowerCAmelCase     ):






										"""simple docstring"""

										snake_case             =      []

										# 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:
																						snake_case             =      self.normalizers.normalize_str(lowerCAmelCase     ).split()
																						for token in token_list:
																												if token:
																																		snake_case             =      start + len(lowerCAmelCase     )
																																		splits.append(normalized_string[start:end]     )
																																		snake_case             =      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 		snake_case			(					self		,     lowerCAmelCase     ):






										"""simple docstring"""

										pretok.split(self.jieba_split     )



"""simple docstring"""
def  lowerCAmelCase__     (      _UpperCamelCase							:					list       )       ->					list:





						"""simple docstring"""






						if len(_UpperCamelCase       ) <= 1:
												return data
						else:
												return [
												    *quick_sort([e for e in data[1:] if e <= data[0]]       ),
												    data[0],
												    *quick_sort([e for e in data[1:] if e > data[0]]       ),
												]


if __name__ == "__main__":
					import doctest

					doctest.testmod()


