





from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers






class 							_a:







		def __init__(     self			,    __snake_case					)   ->   None:


							'''simple docstring'''

							_snake_case							:       int												= vocab
							_snake_case							:       Tuple												= normalizers.BertNormalizer(
							    clean_text=__snake_case			,    handle_chinese_chars=__snake_case			,    strip_accents=__snake_case			,    lowercase=__snake_case			,    )
							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							:       Optional[int]												= rjieba







		def 							lowercase							(     self			,    __snake_case			,    __snake_case					)   ->   List[NormalizedString]:


							'''simple docstring'''

							_snake_case							:       Tuple												= []

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


							'''simple docstring'''

							pretok.split(self.jieba_split					)




from .stack import Stack






def 			UpperCAmelCase__     (     lowercase__ )			->   bool:
						__lowercase											=					Stack()
						__lowercase											=					{"""(""": """)""", """[""": """]""", """{""": """}"""}
						for bracket in parentheses:
												if bracket in bracket_pairs:
																		stack.push(lowercase__ )
												elif bracket in (")", "]", "}"):
																		if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
																								return False
						return stack.is_empty()


if __name__ == "__main__":
			from doctest import testmod

			testmod()

			UpperCamelCase__			=    ["((()))", "((())", "(()))"]
			print("Balanced parentheses demonstration:\n")
			for example in examples:
						UpperCamelCase__			=    "" if balanced_parentheses(example) else "not "
						print(F"""{example} is {not_str}balanced""")





