




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:
    snake_case_ : str    		=       None

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

snake_case_ : List[str]    		=       {
    "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",
    },
}

snake_case_ : Union[str, Any]    		=       {
    "google/rembert": 256,
}

snake_case_ : Optional[int]    		=       "▁"







class __snake_case			(			a		):
   UpperCAmelCase__  :    List[Any]          =  VOCAB_FILES_NAMES
   UpperCAmelCase__  :    Dict          =  PRETRAINED_VOCAB_FILES_MAP
   UpperCAmelCase__  :    int          =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   UpperCAmelCase__  :    Dict          =  RemBertTokenizer







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

        """simple docstring"""


        UpperCAmelCase_          =							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					,						)

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







   def lowerCamelCase						(      self		:						List[str]					,						_snake_case		:						List[int]					,						_snake_case		:						Optional[List[int]] = None):

        """simple docstring"""


        UpperCAmelCase_          =							[self.sep_token_id]
        UpperCAmelCase_          =							[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]					,						_snake_case		:						List[int]					,						_snake_case		:						Optional[List[int]] = None					,						_snake_case		:						bool = False):

        """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 lowerCamelCase						(      self		:						List[Any]					,						_snake_case		:						List[int]					,						_snake_case		:						Optional[List[int]] = None):

        """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) * [0] + len(token_ids_a + sep) * [1]







   def lowerCamelCase						(      self		:						str					,						_snake_case		:						str					,						_snake_case		:						Optional[str] = None):

        """simple docstring"""


        if not os.path.isdir(_snake_case):
             logger.error('''Vocabulary path ({}) should be a directory'''.format(_snake_case))
             return
        UpperCAmelCase_          =							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    A						(__A   :    list   ,				__A   :    int   ,				__A   :    int = 0   ,				__A   :    int = 0       )   ->      int:







     """simple docstring"""


     UpperCAmelCase_          =							right or len(__A       ) - 1
     if left > right:
          return -1
     elif list_data[left] == key:
          return left
     elif list_data[right] == key:
          return right
     else:
          return search(__A   ,				__A   ,				left + 1   ,				right - 1       )


if __name__ == "__main__":
    import doctest

    doctest.testmod()






