


from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest



@require_tokenizers
class A__     ( _UpperCamelCase  ):



  """simple docstring"""



  _lowercase									=		DistilBertTokenizer
  _lowercase									=		DistilBertTokenizerFast
  _lowercase									=		True

  @slow
  def    _UpperCamelCase( self			:  Union[str, Any]       ):
        a__	:  Any     =   DistilBertTokenizer.from_pretrained("distilbert-base-uncased"       )

        a__	:  int     =   tokenizer.encode("sequence builders"				,				add_special_tokens=lowerCamelCase__       )
        a__	:  int     =   tokenizer.encode("multi-sequence build"				,				add_special_tokens=lowerCamelCase__       )

        a__	:  Optional[Any]     =   tokenizer.build_inputs_with_special_tokens(lowerCamelCase__       )
        a__	:  Optional[int]     =   tokenizer.build_inputs_with_special_tokens(lowerCamelCase__				,				lowerCamelCase__       )

        assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
        assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
            tokenizer.sep_token_id
        ]







def 				A__ (snake_case   :		int				)     ->						bool:
					if number < 0:
										raise ValueError("""number must not be negative"""				)
					return number & (number - 1) == 0


if __name__ == "__main__":
	import doctest

	doctest.testmod()






