






'''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_camembert import CamembertTokenizer
else:
     SCREAMING_SNAKE_CASE__											=     None


SCREAMING_SNAKE_CASE__											=     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__											=     {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

SCREAMING_SNAKE_CASE__											=     {
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/tokenizer.json',
    },
}

SCREAMING_SNAKE_CASE__											=     {
    'camembert-base': 5_1_2,
}

SCREAMING_SNAKE_CASE__											=     '▁'






class        a_		(    lowerCamelCase       ):
  lowercase  	=   VOCAB_FILES_NAMES
  lowercase  	=   PRETRAINED_VOCAB_FILES_MAP
  lowercase  	=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowercase  	=   ["""input_ids""", """attention_mask"""]
  lowercase  	=   CamembertTokenizer

  def __init__(   self    ,	_SCREAMING_SNAKE_CASE=None    ,	_SCREAMING_SNAKE_CASE=None    ,	_SCREAMING_SNAKE_CASE="<s>"    ,	_SCREAMING_SNAKE_CASE="</s>"    ,	_SCREAMING_SNAKE_CASE="</s>"    ,	_SCREAMING_SNAKE_CASE="<s>"    ,	_SCREAMING_SNAKE_CASE="<unk>"    ,	_SCREAMING_SNAKE_CASE="<pad>"    ,	_SCREAMING_SNAKE_CASE="<mask>"    ,	_SCREAMING_SNAKE_CASE=["<s>NOTUSED", "</s>NOTUSED"]    ,	**_SCREAMING_SNAKE_CASE    ,	)						->   Optional[int]:



        """simple docstring"""






        UpperCamelCase       						=      AddedToken(_SCREAMING_SNAKE_CASE    ,	lstrip=_SCREAMING_SNAKE_CASE    ,	rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   ) else mask_token

        super().__init__(
            _SCREAMING_SNAKE_CASE    ,	tokenizer_file=_SCREAMING_SNAKE_CASE    ,	bos_token=_SCREAMING_SNAKE_CASE    ,	eos_token=_SCREAMING_SNAKE_CASE    ,	sep_token=_SCREAMING_SNAKE_CASE    ,	cls_token=_SCREAMING_SNAKE_CASE    ,	unk_token=_SCREAMING_SNAKE_CASE    ,	pad_token=_SCREAMING_SNAKE_CASE    ,	mask_token=_SCREAMING_SNAKE_CASE    ,	additional_special_tokens=_SCREAMING_SNAKE_CASE    ,	**_SCREAMING_SNAKE_CASE    ,	)

        UpperCamelCase       						=      vocab_file
        UpperCamelCase       						=      False if not self.vocab_file else True

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE = None   )						->   List[int]:



        """simple docstring"""






        if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        UpperCamelCase       						=      [self.cls_token_id]
        UpperCamelCase       						=      [self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE = None   )						->   List[int]:



        """simple docstring"""






        UpperCamelCase       						=      [self.sep_token_id]
        UpperCamelCase       						=      [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 + sep + token_ids_a + sep   ) * [0]


  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE = None   )						->   Tuple[str]:



        """simple docstring"""






        if not self.can_save_slow_tokenizer:
              raise ValueError(
                  """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                  """tokenizer."""   )

        if not os.path.isdir(_SCREAMING_SNAKE_CASE   ):
              logger.error(F"Vocabulary path ({save_directory}) should be a directory"   )
              return
        UpperCamelCase       						=      os.path.join(
            _SCREAMING_SNAKE_CASE    ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )

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

        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"""					)
      UpperCamelCase       						=      """"""
      while len(__UpperCamelCase					) % 3 != 0:
            UpperCamelCase       						=      """0""" + bin_string
      UpperCamelCase       						=      [
          bin_string[index : index + 3]
          for index in range(len(__UpperCamelCase					)					)
          if index % 3 == 0
      ]
      for bin_group in bin_string_in_3_list:
            UpperCamelCase       						=      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()
