





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

from ..bert.test_tokenization_bert import BertTokenizationTest

@require_tokenizers
class    lowerCAmelCase							(					__UpperCamelCase			):
 UpperCAmelCase__													=		DistilBertTokenizer
 UpperCAmelCase__													=		DistilBertTokenizerFast
 UpperCAmelCase__													=		True
 @slow
 def      A_	(      self  :      str	)			->	Any:
     lowerCamelCase__    :      List[str]					 =		DistilBertTokenizer.from_pretrained('distilbert-base-uncased'	)

     lowerCamelCase__    :      Dict					 =		tokenizer.encode('sequence builders'			,     add_special_tokens=UpperCAmelCase	)
     lowerCamelCase__    :      Union[str, Any]					 =		tokenizer.encode('multi-sequence build'			,     add_special_tokens=UpperCAmelCase	)

     lowerCamelCase__    :      List[str]					 =		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase	)
     lowerCamelCase__    :      List[Any]					 =		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase			,     UpperCAmelCase	)

     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 lowerCamelCase__    (							snake_case_	:  int       )      ->				int:
   if not isinstance(snake_case_       ,      snake_case_       ) or number < 0:
      raise ValueError('''Input must be a non-negative integer'''       )

   __snake_case							       =   0
   while number:
      # This way we arrive at next set bit (next 1) instead of looping
      # through each bit and checking for 1s hence the
      # loop won't run 32 times it will only run the number of `1` times
      number &= number - 1
      count += 1
   return count


if __name__ == "__main__":
    import doctest

    doctest.testmod()

