

'''simple docstring'''






def 	_A  (					A__   ):






 """simple docstring"""



 if number > 0:
  raise ValueError('''input must be a negative integer'''   )
 __lowercase													=				len(bin(A__   )[3:]   )
 __lowercase													=				bin(abs(A__   ) - (1 << binary_number_length)   )[3:]
 __lowercase													=				(
     (
         '''1'''
         + '''0''' * (binary_number_length - len(A__   ))
         + twos_complement_number
     )
     if number < 0
     else '''0'''
 )
 return "0b" + twos_complement_number


if __name__ == "__main__":
 import doctest

 doctest.testmod()




'''simple docstring'''






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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase__      		=			logging.get_logger(__name__)

lowerCAmelCase__      		=			{'''vocab_file''': '''sentencepiece.model'''}

lowerCAmelCase__      		=			{
    '''vocab_file''': {
        '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/sentencepiece.model''',
    },
}

lowerCAmelCase__      		=			{
    '''google/rembert''': 256,
}






class     lowercase_			(lowerCamelCase__   ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE					:						Tuple           =    VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE					:						Optional[int]           =    PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE					:						Union[str, Any]           =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






  def __init__(   self     :  str      ,lowercase__     :  Optional[Any]      ,lowercase__     :  List[str]=False      ,lowercase__     :  Dict=True      ,lowercase__     :  List[str]=True      ,lowercase__     :  Dict="[CLS]"      ,lowercase__     :  Union[str, Any]="[SEP]"      ,lowercase__     :  List[str]="[UNK]"      ,lowercase__     :  int="[SEP]"      ,lowercase__     :  List[str]="[PAD]"      ,lowercase__     :  Optional[int]="[CLS]"      ,lowercase__     :  List[Any]="[MASK]"      ,**lowercase__     :  int      ,):
   super().__init__(
       do_lower_case=lowercase__      ,remove_space=lowercase__      ,keep_accents=lowercase__      ,bos_token=lowercase__      ,eos_token=lowercase__      ,unk_token=lowercase__      ,sep_token=lowercase__      ,pad_token=lowercase__      ,cls_token=lowercase__      ,mask_token=lowercase__      ,**lowercase__      ,)

   __lowercase													=				do_lower_case
   __lowercase													=				remove_space
   __lowercase													=				keep_accents
   __lowercase													=				vocab_file

   __lowercase													=				spm.SentencePieceProcessor()
   self.sp_model.Load(lowercase__    )






  @property
  def       SCREAMING_SNAKE_CASE   (   self     :  str    ):
   return len(self.sp_model    )






  def       SCREAMING_SNAKE_CASE   (   self     :  str    ):
   __lowercase													=				{self.convert_ids_to_tokens(lowercase__    ): i for i in range(self.vocab_size    )}
   vocab.update(self.added_tokens_encoder    )
   return vocab






  def __getstate__(   self     :  List[Any]    ):
   __lowercase													=				self.__dict__.copy()
   __lowercase													=				None
   return state






  def __setstate__(   self     :  str      ,lowercase__     :  Optional[int]    ):
   __lowercase													=				d
   __lowercase													=				spm.SentencePieceProcessor()
   self.sp_model.Load(self.vocab_file    )






  def       SCREAMING_SNAKE_CASE   (   self     :  List[str]      ,lowercase__     :  List[str]      ,lowercase__     :  List[Any]=False    ):
   __lowercase													=				self.sp_model.EncodeAsPieces(lowercase__    )
   return pieces






  def       SCREAMING_SNAKE_CASE   (   self     :  Tuple      ,lowercase__     :  List[Any]    ):
   return self.sp_model.PieceToId(lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Tuple      ,lowercase__     :  str    ):
   return self.sp_model.IdToPiece(lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Any      ,lowercase__     :  Tuple    ):
   __lowercase													=				self.sp_model.decode_pieces(lowercase__    )
   return out_string






  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[int]      ,lowercase__     :  List[int]      ,lowercase__     :  Optional[List[int]] = None    ):
   __lowercase													=				[self.sep_token_id]
   __lowercase													=				[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       SCREAMING_SNAKE_CASE   (   self     :  List[Any]      ,lowercase__     :  List[int]      ,lowercase__     :  Optional[List[int]] = None      ,lowercase__     :  bool = False    ):

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






  def       SCREAMING_SNAKE_CASE   (   self     :  Dict      ,lowercase__     :  List[int]      ,lowercase__     :  Optional[List[int]] = None    ):
   __lowercase													=				[self.sep_token_id]
   __lowercase													=				[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       SCREAMING_SNAKE_CASE   (   self     :  Optional[int]      ,lowercase__     :  str      ,lowercase__     :  Optional[str] = None    ):
   if not os.path.isdir(lowercase__    ):
    logger.error('''Vocabulary path ({}) should be a directory'''.format(lowercase__    )    )
    return
   __lowercase													=				os.path.join(
       lowercase__      ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )

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

   return (out_vocab_file,)

