






'''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_					=	None

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

a_					=	{
    '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_					=	{
    'google/bigbird-roberta-base': 4_0_9_6,
    'google/bigbird-roberta-large': 4_0_9_6,
    'google/bigbird-base-trivia-itc': 4_0_9_6,
}


a_					=	'▁'






class        __SCREAMING_SNAKE_CASE (     lowerCamelCase			):
 snake_case_												=							VOCAB_FILES_NAMES
 snake_case_												=							PRETRAINED_VOCAB_FILES_MAP
 snake_case_												=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 snake_case_												=							BigBirdTokenizer
 snake_case_												=							["""input_ids""", """attention_mask"""]
 snake_case_												=							[]




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

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

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

       SCREAMING_SNAKE_CASE__       :			Tuple													=vocab_file
       SCREAMING_SNAKE_CASE__       :			Optional[Any]													=False if not self.vocab_file else True




 def        __magic_name__		( self		:							str   , __lowercase		:							List[int]   , __lowercase		:							Optional[List[int]] = None )		->  List[int]:
       SCREAMING_SNAKE_CASE__       :			Any													=[self.sep_token_id]
       SCREAMING_SNAKE_CASE__       :			Union[str, Any]													=[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        __magic_name__		( self		:							List[Any]   , __lowercase		:							List[int]   , __lowercase		:							Optional[List[int]] = None   , __lowercase		:							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(__lowercase )) + [1]
       return [1] + ([0] * len(__lowercase )) + [1] + ([0] * len(__lowercase )) + [1]




 def        __magic_name__		( self		:							Optional[Any]   , __lowercase		:							List[int]   , __lowercase		:							Optional[List[int]] = None )		->  List[int]:
       SCREAMING_SNAKE_CASE__       :			Any													=[self.sep_token_id]
       SCREAMING_SNAKE_CASE__       :			Dict													=[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        __magic_name__		( self		:							Union[str, Any]   , __lowercase		:							str   , __lowercase		:							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(__lowercase ):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory" )
             return
       SCREAMING_SNAKE_CASE__       :			List[Any]													=os.path.join(
           __lowercase   , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )

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

       return (out_vocab_file,)







'''simple docstring'''
def 	_a(					UpperCamelCase__			:  Optional[Any]=2_8_1_2_3							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__       :			List[Any]													=[1] * (limit + 1)

      for i in range(2,		int(limit**0.5							) + 1							):
            sum_divs[i * i] += i
            for k in range(i + 1,		limit // i + 1							):
                  sum_divs[k * i] += k + i

      SCREAMING_SNAKE_CASE__       :			List[str]													=set()
      SCREAMING_SNAKE_CASE__       :			str													=0

      for n in range(1,		limit + 1							):
            if sum_divs[n] > n:
                  abundants.add(UpperCamelCase__							)

            if not any((n - a in abundants) for a in abundants							):
                  res += n

      return res


if __name__ == "__main__":
  print(solution())