


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:
  __UpperCAmelCase : Any 			=				None

__UpperCAmelCase : int 			=				logging.get_logger(__name__)
__UpperCAmelCase : Dict 			=				{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

__UpperCAmelCase : Union[str, 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'
        ),
    },
}

__UpperCAmelCase : Any 			=				{
    'google/bigbird-roberta-base': 4096,
    'google/bigbird-roberta-large': 4096,
    'google/bigbird-base-trivia-itc': 4096,
}


__UpperCAmelCase : Union[str, Any] 			=				'▁'



class    UpperCAmelCase_	(							lowerCamelCase__):
       '''simple docstring'''
       __UpperCamelCase      :     Optional[int]							=					VOCAB_FILES_NAMES
       __UpperCamelCase      :     List[str]							=					PRETRAINED_VOCAB_FILES_MAP
       __UpperCamelCase      :     Optional[Any]							=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __UpperCamelCase      :     List[Any]							=					BigBirdTokenizer
       __UpperCamelCase      :     Dict							=					["input_ids", "attention_mask"]
       __UpperCamelCase      :     Union[str, Any]							=					[]






       def __init__(     self ,					__SCREAMING_SNAKE_CASE=None ,					__SCREAMING_SNAKE_CASE=None ,					__SCREAMING_SNAKE_CASE="<unk>" ,					__SCREAMING_SNAKE_CASE="<s>" ,					__SCREAMING_SNAKE_CASE="</s>" ,					__SCREAMING_SNAKE_CASE="<pad>" ,					__SCREAMING_SNAKE_CASE="[SEP]" ,					__SCREAMING_SNAKE_CASE="[MASK]" ,					__SCREAMING_SNAKE_CASE="[CLS]" ,					**__SCREAMING_SNAKE_CASE ,					):




              """simple docstring"""




              UpperCamelCase    :	List[Any]   	=		AddedToken(__lowerCamelCase ,					lstrip=__lowerCamelCase ,					rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase ,					__lowerCamelCase						) else bos_token
              UpperCamelCase    :	Any   	=		AddedToken(__lowerCamelCase ,					lstrip=__lowerCamelCase ,					rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase ,					__lowerCamelCase						) else eos_token
              UpperCamelCase    :	Optional[int]   	=		AddedToken(__lowerCamelCase ,					lstrip=__lowerCamelCase ,					rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase ,					__lowerCamelCase						) else unk_token
              UpperCamelCase    :	Union[str, Any]   	=		AddedToken(__lowerCamelCase ,					lstrip=__lowerCamelCase ,					rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase ,					__lowerCamelCase						) else pad_token
              UpperCamelCase    :	Optional[int]   	=		AddedToken(__lowerCamelCase ,					lstrip=__lowerCamelCase ,					rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase ,					__lowerCamelCase						) else cls_token
              UpperCamelCase    :	str   	=		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
              UpperCamelCase    :	Optional[Any]   	=		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 ,					)

              UpperCamelCase    :	List[Any]   	=		vocab_file
              UpperCamelCase    :	List[Any]   	=		False if not self.vocab_file else True






       def  _lowercase   (     self ,					__SCREAMING_SNAKE_CASE ,					__SCREAMING_SNAKE_CASE = None						):




              """simple docstring"""




              UpperCamelCase    :	Any   	=		[self.sep_token_id]
              UpperCamelCase    :	Optional[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  _lowercase   (     self ,					__SCREAMING_SNAKE_CASE ,					__SCREAMING_SNAKE_CASE = None ,					__SCREAMING_SNAKE_CASE = 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 None:
                     return [1] + ([0] * len(__lowerCamelCase						)) + [1]
              return [1] + ([0] * len(__lowerCamelCase						)) + [1] + ([0] * len(__lowerCamelCase						)) + [1]






       def  _lowercase   (     self ,					__SCREAMING_SNAKE_CASE ,					__SCREAMING_SNAKE_CASE = None						):




              """simple docstring"""




              UpperCamelCase    :	List[str]   	=		[self.sep_token_id]
              UpperCamelCase    :	Optional[Any]   	=		[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  _lowercase   (     self ,					__SCREAMING_SNAKE_CASE ,					__SCREAMING_SNAKE_CASE = None						):




              """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
              UpperCamelCase    :	Dict   	=		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,)







def      a	(							SCREAMING_SNAKE_CASE_      :		int       ):






       """simple docstring"""





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


if __name__ == "__main__":
  import doctest

  doctest.testmod()

