




"""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													=      None

_A													=      logging.get_logger(__name__)
_A													=      {"""vocab_file""": """sentencepiece.model""", """tokenizer_file""": """tokenizer.json"""}

_A													=      {
    """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													=      {
    """google/rembert""": 2_5_6,
}

_A													=      """▁"""


class _lowerCamelCase    (					a_						):
   _lowerCamelCase    :List[Any]     				=     VOCAB_FILES_NAMES
   _lowerCamelCase    :Union[str, Any]     				=     PRETRAINED_VOCAB_FILES_MAP
   _lowerCamelCase    :Union[str, Any]     				=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _lowerCamelCase    :str     				=     RemBertTokenizer






   def __init__(		self       :		str   ,     UpperCamelCase       :		Dict=None   ,     UpperCamelCase       :		Any=None   ,     UpperCamelCase       :		Any=True   ,     UpperCamelCase       :		Dict=True   ,     UpperCamelCase       :		Optional[int]=False   ,     UpperCamelCase       :		Optional[Any]="[CLS]"   ,     UpperCamelCase       :		int="[SEP]"   ,     UpperCamelCase       :		Dict="<unk>"   ,     UpperCamelCase       :		int="[SEP]"   ,     UpperCamelCase       :		Optional[Any]="<pad>"   ,     UpperCamelCase       :		List[str]="[CLS]"   ,     UpperCamelCase       :		int="[MASK]"   ,     **UpperCamelCase       :		Tuple   ,     )			->						int:

         """simple docstring"""
         lowerCAmelCase__      :			Dict   =	AddedToken(UpperCamelCase   ,     lstrip=UpperCamelCase   ,     rstrip=UpperCamelCase   ) if isinstance(UpperCamelCase   ,     UpperCamelCase   ) else mask_token

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

         lowerCAmelCase__      :			Optional[int]   =	do_lower_case
         lowerCAmelCase__      :			List[str]   =	remove_space
         lowerCAmelCase__      :			Tuple   =	keep_accents
         lowerCAmelCase__      :			Union[str, Any]   =	vocab_file
         lowerCAmelCase__      :			Optional[Any]   =	False if not self.vocab_file else True






   def 	_lowerCAmelCase   (		self       :		List[Any]   ,     UpperCamelCase       :		List[int]   ,     UpperCamelCase       :		Optional[List[int]] = None   )			->						List[int]:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	[self.sep_token_id]
         lowerCAmelCase__      :			Any   =	[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 	_lowerCAmelCase   (		self       :		Union[str, Any]   ,     UpperCamelCase       :		List[int]   ,     UpperCamelCase       :		Optional[List[int]] = None   ,     UpperCamelCase       :		bool = False   )			->						List[int]:

         """simple docstring"""

         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(UpperCamelCase   )) + [1] + ([0] * len(UpperCamelCase   )) + [1]
         return [1] + ([0] * len(UpperCamelCase   )) + [1]






   def 	_lowerCAmelCase   (		self       :		Tuple   ,     UpperCamelCase       :		List[int]   ,     UpperCamelCase       :		Optional[List[int]] = None   )			->						List[int]:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	[self.sep_token_id]
         lowerCAmelCase__      :			List[Any]   =	[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 	_lowerCAmelCase   (		self       :		int   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		Optional[str] = None   )			->						Tuple[str]:

         """simple docstring"""
         if not os.path.isdir(UpperCamelCase   ):
               logger.error("""Vocabulary path ({}) should be a directory""".format(UpperCamelCase   )   )
               return
         lowerCAmelCase__      :			Optional[int]   =	os.path.join(
             UpperCamelCase   ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )

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

         return (out_vocab_file,)











"""simple docstring"""


def 	lowercase_				(			__UpperCAmelCase				)						->    str:
      if not all(char in """01""" for char in bin_string				):
            raise ValueError("""Non-binary value was passed to the function"""				)
      if not bin_string:
            raise ValueError("""Empty string was passed to the function"""				)
      lowerCAmelCase__      :			List[str]   =	""""""
      while len(__UpperCAmelCase				) % 3 != 0:
            lowerCAmelCase__      :			Optional[Any]   =	"""0""" + bin_string
      lowerCAmelCase__      :			List[Any]   =	[
          bin_string[index : index + 3]
          for index in range(len(__UpperCAmelCase				)				)
          if index % 3 == 0
      ]
      for bin_group in bin_string_in_3_list:
            lowerCAmelCase__      :			Optional[int]   =	0
            for index, val in enumerate(__UpperCAmelCase				):
                  oct_val += int(2 ** (2 - index) * int(__UpperCAmelCase				)				)
            oct_string += str(__UpperCAmelCase				)
      return oct_string


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

  testmod()





