





'''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__							:  Optional[int]    =None

A__							:  Optional[Any]    =logging.get_logger(__name__)
A__							:  Optional[int]    ={'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

A__							:  Dict    ={
    '''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__							:  int    ={
    '''google/bigbird-roberta-base''': 40_96,
    '''google/bigbird-roberta-large''': 40_96,
    '''google/bigbird-base-trivia-itc''': 40_96,
}


A__							:  int    ='''▁'''




class 					UpperCAmelCase	(     snake_case_  ):
      _lowercase:     Tuple			=  VOCAB_FILES_NAMES
      _lowercase:     int			=  PRETRAINED_VOCAB_FILES_MAP
      _lowercase:     Any			=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _lowercase:     Tuple			=  BigBirdTokenizer
      _lowercase:     Union[str, Any]			=  ['''input_ids''', '''attention_mask''']
      _lowercase:     List[int]			=  []




      def __init__(     self     :					Union[str, Any]     ,     __snake_case     :					List[str]=None     ,     __snake_case     :					Optional[int]=None     ,     __snake_case     :					Optional[int]="<unk>"     ,     __snake_case     :					Optional[Any]="<s>"     ,     __snake_case     :					str="</s>"     ,     __snake_case     :					Optional[Any]="<pad>"     ,     __snake_case     :					Union[str, Any]="[SEP]"     ,     __snake_case     :					Dict="[MASK]"     ,     __snake_case     :					Dict="[CLS]"     ,     **__snake_case     :					str     ,     )							-> List[str]:
            _lowerCAmelCase					=				AddedToken(__snake_case     ,     lstrip=__snake_case     ,     rstrip=__snake_case    ) if isinstance(__snake_case     ,     __snake_case    ) else bos_token
            _lowerCAmelCase					=				AddedToken(__snake_case     ,     lstrip=__snake_case     ,     rstrip=__snake_case    ) if isinstance(__snake_case     ,     __snake_case    ) else eos_token
            _lowerCAmelCase					=				AddedToken(__snake_case     ,     lstrip=__snake_case     ,     rstrip=__snake_case    ) if isinstance(__snake_case     ,     __snake_case    ) else unk_token
            _lowerCAmelCase					=				AddedToken(__snake_case     ,     lstrip=__snake_case     ,     rstrip=__snake_case    ) if isinstance(__snake_case     ,     __snake_case    ) else pad_token
            _lowerCAmelCase					=				AddedToken(__snake_case     ,     lstrip=__snake_case     ,     rstrip=__snake_case    ) if isinstance(__snake_case     ,     __snake_case    ) else cls_token
            _lowerCAmelCase					=				AddedToken(__snake_case     ,     lstrip=__snake_case     ,     rstrip=__snake_case    ) if isinstance(__snake_case     ,     __snake_case    ) else sep_token

            # Mask token behave like a normal word, i.e. include the space before it
            _lowerCAmelCase					=				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     ,     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					=				vocab_file
            _lowerCAmelCase					=				False if not self.vocab_file else True




      def 							lowercase__       (     self     :					Tuple     ,     __snake_case     :					List[int]     ,     __snake_case     :					Optional[List[int]] = None    )							-> List[int]:
            _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 							lowercase__       (     self     :					Any     ,     __snake_case     :					List[int]     ,     __snake_case     :					Optional[List[int]] = None     ,     __snake_case     :					bool = False    )							-> List[int]:

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




      def 							lowercase__       (     self     :					Dict     ,     __snake_case     :					List[int]     ,     __snake_case     :					Optional[List[int]] = None    )							-> List[int]:
            _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 							lowercase__       (     self     :					Optional[Any]     ,     __snake_case     :					str     ,     __snake_case     :					Optional[str] = None    )							-> Tuple[str]:
            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(__snake_case    ):
                  logger.error(f"Vocabulary path ({save_directory}) should be a directory"    )
                  return
            _lowerCAmelCase					=				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,)













'''simple docstring'''






def   UpperCamelCase__ (						lowerCAmelCase    ):





      """simple docstring"""


      if not isinstance(lowerCAmelCase				,      lowerCAmelCase    ):
            raise ValueError("""Input must be an integer"""    )
      if input_num <= 0:
            raise ValueError("""Input must be positive"""    )
      return sum(
          divisor for divisor in range(1				,      input_num // 2 + 1    ) if input_num % divisor == 0    )


if __name__ == "__main__":
      import doctest

      doctest.testmod()






