





'''simple docstring'''






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_rembert import RemBertTokenizer
else:
      A__    :       Optional[int]              =None

A__    :       Optional[int]              =logging.get_logger(__name__)
A__    :       Any              ={'''vocab_file''': '''sentencepiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

A__    :       int              ={
    '''vocab_file''': {
        '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/sentencepiece.model''',
    },
    '''tokenizer_file''': {
        '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/tokenizer.json''',
    },
}

A__    :       str              ={
    '''google/rembert''': 2_56,
}

A__    :       Union[str, Any]              ='''▁'''




class 			UpperCAmelCase					(      snake_case_       ):
 _lowercase:      List[str]											=       VOCAB_FILES_NAMES
 _lowercase:      Dict											=       PRETRAINED_VOCAB_FILES_MAP
 _lowercase:      Dict											=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowercase:      Optional[int]											=       RemBertTokenizer




 def __init__(      self      :			int      ,      __snake_case      :			List[str]=None      ,      __snake_case      :			Tuple=None      ,      __snake_case      :			List[Any]=True      ,      __snake_case      :			Dict=True      ,      __snake_case      :			Any=False      ,      __snake_case      :			Union[str, Any]="[CLS]"      ,      __snake_case      :			Optional[int]="[SEP]"      ,      __snake_case      :			int="<unk>"      ,      __snake_case      :			Tuple="[SEP]"      ,      __snake_case      :			Optional[Any]="<pad>"      ,      __snake_case      :			List[Any]="[CLS]"      ,      __snake_case      :			Any="[MASK]"      ,      **__snake_case      :			Any      ,      )    ->				int:
       # Mask token behave like a normal word, i.e. include the space before it
       _lowerCAmelCase												=							AddedToken(__snake_case      ,      lstrip=__snake_case      ,      rstrip=__snake_case  ) if isinstance(__snake_case      ,      __snake_case  ) else mask_token

       super().__init__(
           __snake_case      ,      tokenizer_file=__snake_case      ,      do_lower_case=__snake_case      ,      remove_space=__snake_case      ,      keep_accents=__snake_case      ,      bos_token=__snake_case      ,      eos_token=__snake_case      ,      unk_token=__snake_case      ,      sep_token=__snake_case      ,      pad_token=__snake_case      ,      cls_token=__snake_case      ,      mask_token=__snake_case      ,      **__snake_case      ,      )

       _lowerCAmelCase												=							do_lower_case
       _lowerCAmelCase												=							remove_space
       _lowerCAmelCase												=							keep_accents
       _lowerCAmelCase												=							vocab_file
       _lowerCAmelCase												=							False if not self.vocab_file else True




 def     lowercase__   (      self      :			List[str]      ,      __snake_case      :			List[int]      ,      __snake_case      :			Optional[List[int]] = None  )    ->				List[int]:
       _lowerCAmelCase												=							[self.sep_token_id]
       _lowerCAmelCase												=							[self.cls_token_id]
       if token_ids_a is None:
             return cls + token_ids_a + sep
       return cls + token_ids_a + sep + token_ids_a + sep




 def     lowercase__   (      self      :			Any      ,      __snake_case      :			List[int]      ,      __snake_case      :			Optional[List[int]] = None      ,      __snake_case      :			bool = False  )    ->				List[int]:

       if already_has_special_tokens:
             if token_ids_a is not None:
                   raise ValueError(
                       """You should not supply a second sequence if the provided sequence of """
                       """ids is already formatted with special tokens for the model."""  )
             return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

       if token_ids_a is not None:
             return [1] + ([0] * len(__snake_case  )) + [1] + ([0] * len(__snake_case  )) + [1]
       return [1] + ([0] * len(__snake_case  )) + [1]




 def     lowercase__   (      self      :			List[str]      ,      __snake_case      :			List[int]      ,      __snake_case      :			Optional[List[int]] = None  )    ->				List[int]:
       _lowerCAmelCase												=							[self.sep_token_id]
       _lowerCAmelCase												=							[self.cls_token_id]

       if token_ids_a is None:
             return len(cls + token_ids_a + sep  ) * [0]
       return len(cls + token_ids_a + sep  ) * [0] + len(token_ids_a + sep  ) * [1]




 def     lowercase__   (      self      :			List[str]      ,      __snake_case      :			str      ,      __snake_case      :			Optional[str] = None  )    ->				Tuple[str]:
       if not os.path.isdir(__snake_case  ):
             logger.error("""Vocabulary path ({}) should be a directory""".format(__snake_case  )  )
             return
       _lowerCAmelCase												=							os.path.join(
           __snake_case      ,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )

       if os.path.abspath(self.vocab_file  ) != os.path.abspath(__snake_case  ):
             copyfile(self.vocab_file      ,      __snake_case  )

       return (out_vocab_file,)













'''simple docstring'''






def        UpperCamelCase__				(		lowerCAmelCase							,     lowerCAmelCase  ):





      """simple docstring"""


      if len(lowerCAmelCase  ) != len(lowerCAmelCase  ):
            raise ValueError("""String lengths must match!"""  )

      _lowerCAmelCase												=							0

      for chara, chara in zip(lowerCAmelCase							,     lowerCAmelCase  ):
            if chara != chara:
                  count += 1

      return count


if __name__ == "__main__":
      import doctest

      doctest.testmod()






