





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:
      _UpperCAmelCase       =				None

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

_UpperCAmelCase       =				{
    '''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''',
    },
}

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

_UpperCAmelCase       =				'''▁'''






class   snake_case_							(						lowerCamelCase__		):
  A_     				=       VOCAB_FILES_NAMES
  A_     				=       PRETRAINED_VOCAB_FILES_MAP
  A_     				=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A_     				=       RemBertTokenizer






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






   '''simple docstring'''

   __lowerCAmelCase	:			Optional[Any]         =  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	:			List[Any]         =  do_lower_case
   __lowerCAmelCase	:			int         =  remove_space
   __lowerCAmelCase	:			Dict         =  keep_accents
   __lowerCAmelCase	:			int         =  vocab_file
   __lowerCAmelCase	:			Dict         =  False if not self.vocab_file else True






  def  UpperCAmelCase__		(				self					:	Optional[Any]  ,    _snake_case					:	List[int]  ,    _snake_case					:	Optional[List[int]] = None     )->List[str]:






   '''simple docstring'''

   __lowerCAmelCase	:			Dict         =  [self.sep_token_id]
   __lowerCAmelCase	:			int         =  [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  UpperCAmelCase__		(				self					:	Optional[Any]  ,    _snake_case					:	List[int]  ,    _snake_case					:	Optional[List[int]] = None  ,    _snake_case					:	bool = False     )->Union[str, Any]:






   '''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(_snake_case     )) + [1] + ([0] * len(_snake_case     )) + [1]
   return [1] + ([0] * len(_snake_case     )) + [1]






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






   '''simple docstring'''

   __lowerCAmelCase	:			Optional[int]         =  [self.sep_token_id]
   __lowerCAmelCase	:			List[str]         =  [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  UpperCAmelCase__		(				self					:	str  ,    _snake_case					:	str  ,    _snake_case					:	Optional[str] = None     )->int:






   '''simple docstring'''

   if not os.path.isdir(_snake_case     ):
    logger.error("""Vocabulary path ({}) should be a directory""".format(_snake_case     )     )
    return
   __lowerCAmelCase	:			Any         =  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,)






def   __snake_case    (       _lowerCAmelCase			:			int = 1					,					_lowerCAmelCase			:			int = 1000						)			->    int:
   A_       :					Optional[int]        =      1
   A_       :					int        =      0

   for divide_by_number in range(_lowerCAmelCase					,					digit + 1						):
      A_       :					list[int]        =      []
      A_       :					Union[str, Any]        =      numerator
      for _ in range(1					,					digit + 1						):
         if now_divide in has_been_divided:
            if longest_list_length < len(_lowerCAmelCase						):
               A_       :					Optional[Any]        =      len(_lowerCAmelCase						)
               A_       :					Union[str, Any]        =      divide_by_number
         else:
            has_been_divided.append(_lowerCAmelCase						)
            A_       :					Dict        =      now_divide * 10 % divide_by_number

   return the_digit


# Tests
if __name__ == "__main__":
 import doctest

 doctest.testmod()
