
'''simple docstring'''



from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers





class      A							:



			def __init__(   self    ,       lowerCamelCase__    )     ->						None:




									'''simple docstring'''



									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 A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__    )     ->						List[NormalizedString]:




									'''simple docstring'''



									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 A__	(   self    ,       lowerCamelCase__    )     ->						int:




									'''simple docstring'''



									pretok.split(self.jieba_split    )








'''simple docstring'''



import warnings

from .generation import FlaxGenerationMixin





class      A							(    __UpperCAmelCase			):
			# warning at import time
			warnings.warn(
			    """Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will """
			    """be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead."""						,  __UpperCAmelCase						,  )






