import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


_lowercase							:      Dict      							=logging.get_logger(__name__)



class  SCREAMING_SNAKE_CASE_ (					lowerCAmelCase_			):
  '''simple docstring'''


  def __init__(				self    :					Union[str, Any]      ,	*SCREAMING_SNAKE_CASE__    :					Tuple      ,	**SCREAMING_SNAKE_CASE__    :					Optional[int]     )    ->				None:
         warnings.warn(
             'The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
             ' use GLPNImageProcessor instead.'      ,	SCREAMING_SNAKE_CASE__      ,	)
         super().__init__(*SCREAMING_SNAKE_CASE__      ,	**SCREAMING_SNAKE_CASE__     )







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

       A						:     Any         =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()






