



import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


a_       :List[Any]				  =				logging.get_logger(__name__)




class  snake_case__						(	lowerCAmelCase_					):






     """simple docstring"""


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











def 	lowercase_							(A			:			int		, A			:			int				):
       return (input_a, input_a).count(0				) % 2
def 	lowercase_							():
       assert xor_gate(0		, 0				) == 0
       assert xor_gate(0		, 1				) == 1
       assert xor_gate(1		, 0				) == 1
       assert xor_gate(1		, 1				) == 0


if __name__ == "__main__":
 print(xor_gate(0, 0))
 print(xor_gate(0, 1))






