'''simple docstring'''




from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers






class     a__:


			'''simple docstring'''






			def __init__(       self	,   __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase        =  vocab
					lowerCAmelCase        =  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.""")
					lowerCAmelCase        =  rjieba



			def 							a_	(       self	,   __lowerCAmelCase	,   __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase        =  []

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




					"""simple docstring"""


					pretok.split(self.jieba_split)





'''simple docstring'''




from ..utils import DummyObject, requires_backends






class     a__( metaclass=lowerCAmelCase__     ):


			'''simple docstring'''






			UpperCAmelCase_      :					Optional[int]								=	['''torch''', '''transformers''', '''k_diffusion''']



			def __init__(       self	,   *__lowerCAmelCase	,   **__lowerCAmelCase):




					"""simple docstring"""


					requires_backends(self	,   ["""torch""", """transformers""", """k_diffusion"""])



			@classmethod
			def 							a_	(       cls	,   *__lowerCAmelCase	,   **__lowerCAmelCase):




					"""simple docstring"""


					requires_backends(cls	,   ["""torch""", """transformers""", """k_diffusion"""])







			@classmethod
			def 							a_	(       cls	,   *__lowerCAmelCase	,   **__lowerCAmelCase):




					"""simple docstring"""


					requires_backends(cls	,   ["""torch""", """transformers""", """k_diffusion"""])




