






'''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_big_bird import BigBirdTokenizer
else:
 __A							:							List[str]  							=		None

__A							:							List[str]  							=		logging.get_logger(__name__)
__A							:							Optional[int]  							=		{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

__A							:							List[Any]  							=		{
    """vocab_file""": {
        """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model""",
        """google/bigbird-roberta-large""": (
            """https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"""
        ),
        """google/bigbird-base-trivia-itc""": (
            """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"""
        ),
    },
    """tokenizer_file""": {
        """google/bigbird-roberta-base""": (
            """https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json"""
        ),
        """google/bigbird-roberta-large""": (
            """https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json"""
        ),
        """google/bigbird-base-trivia-itc""": (
            """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json"""
        ),
    },
}

__A							:							List[str]  							=		{
    """google/bigbird-roberta-base""": 40_96,
    """google/bigbird-roberta-large""": 40_96,
    """google/bigbird-base-trivia-itc""": 40_96,
}


__A							:							str  							=		"""▁"""
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							VOCAB_FILES_NAMES
    lowerCAmelCase__      				=							PRETRAINED_VOCAB_FILES_MAP
    lowerCAmelCase__      				=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCAmelCase__      				=							BigBirdTokenizer
    lowerCAmelCase__      				=							["input_ids", "attention_mask"]
    lowerCAmelCase__      				=							[]

    def __init__(					self     :     Dict				,     __lowerCamelCase     :     Optional[int]=None				,     __lowerCamelCase     :     Union[str, Any]=None				,     __lowerCamelCase     :     List[Any]="<unk>"				,     __lowerCamelCase     :     List[Any]="<s>"				,     __lowerCamelCase     :     List[Any]="</s>"				,     __lowerCamelCase     :     List[str]="<pad>"				,     __lowerCamelCase     :     Dict="[SEP]"				,     __lowerCamelCase     :     List[Any]="[MASK]"				,     __lowerCamelCase     :     Union[str, Any]="[CLS]"				,     **__lowerCamelCase     :     Any				,     )							->							Optional[int]:

     '''simple docstring'''




     lowerCamelCase__  =     AddedToken(__lowerCamelCase				,     lstrip=__lowerCamelCase				,     rstrip=__lowerCamelCase     ) if isinstance(__lowerCamelCase				,     __lowerCamelCase     ) else bos_token
     lowerCamelCase__  =     AddedToken(__lowerCamelCase				,     lstrip=__lowerCamelCase				,     rstrip=__lowerCamelCase     ) if isinstance(__lowerCamelCase				,     __lowerCamelCase     ) else eos_token
     lowerCamelCase__  =     AddedToken(__lowerCamelCase				,     lstrip=__lowerCamelCase				,     rstrip=__lowerCamelCase     ) if isinstance(__lowerCamelCase				,     __lowerCamelCase     ) else unk_token
     lowerCamelCase__  =     AddedToken(__lowerCamelCase				,     lstrip=__lowerCamelCase				,     rstrip=__lowerCamelCase     ) if isinstance(__lowerCamelCase				,     __lowerCamelCase     ) else pad_token
     lowerCamelCase__  =     AddedToken(__lowerCamelCase				,     lstrip=__lowerCamelCase				,     rstrip=__lowerCamelCase     ) if isinstance(__lowerCamelCase				,     __lowerCamelCase     ) else cls_token
     lowerCamelCase__  =     AddedToken(__lowerCamelCase				,     lstrip=__lowerCamelCase				,     rstrip=__lowerCamelCase     ) if isinstance(__lowerCamelCase				,     __lowerCamelCase     ) else sep_token

     # Mask token behave like a normal word, i.e. include the space before it
     lowerCamelCase__  =     AddedToken(__lowerCamelCase				,     lstrip=__lowerCamelCase				,     rstrip=__lowerCamelCase     ) if isinstance(__lowerCamelCase				,     __lowerCamelCase     ) else mask_token

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

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

    def    a__				(					self     :     Union[str, Any]				,     __lowerCamelCase     :     List[int]				,     __lowerCamelCase     :     Optional[List[int]] = None     )							->							List[int]:

     '''simple docstring'''




     lowerCamelCase__  =     [self.sep_token_id]
     lowerCamelCase__  =     [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    a__				(					self     :     Optional[Any]				,     __lowerCamelCase     :     List[int]				,     __lowerCamelCase     :     Optional[List[int]] = None				,     __lowerCamelCase     :     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 None:
      return [1] + ([0] * len(__lowerCamelCase     )) + [1]
     return [1] + ([0] * len(__lowerCamelCase     )) + [1] + ([0] * len(__lowerCamelCase     )) + [1]

    def    a__				(					self     :     int				,     __lowerCamelCase     :     List[int]				,     __lowerCamelCase     :     Optional[List[int]] = None     )							->							List[int]:

     '''simple docstring'''




     lowerCamelCase__  =     [self.sep_token_id]
     lowerCamelCase__  =     [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    a__				(					self     :     Union[str, Any]				,     __lowerCamelCase     :     str				,     __lowerCamelCase     :     Optional[str] = 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(__lowerCamelCase     ):
      logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''     )
      return
     lowerCamelCase__  =     os.path.join(
         __lowerCamelCase				,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]     )

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

     return (out_vocab_file,)









'''simple docstring'''





def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 return round(float(moles / volume) * nfactor)






def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 return round(float((moles * 0.0_821 * temperature) / (volume)))






def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 return round(float((moles * 0.0_821 * temperature) / (pressure)))






def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 return round(float((pressure * volume) / (0.0_821 * moles)))


if __name__ == "__main__":
 import doctest

 doctest.testmod()

