
"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


a		:					Optional[int]    	=					logging.get_logger(__name__)







class 						lowercase(a_					):



     def __init__(       self    ,							*__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE      )		->    None:







         """simple docstring"""



         warnings.warn(
             'The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
             ' Please use MobileNetV2ImageProcessor instead.'    ,							_snake_case    ,							)
         super().__init__(*_snake_case    ,							**_snake_case      )




"""simple docstring"""




from itertools import combinations, product



def 						__magic_name__		(				UpperCamelCase    :		int       ,		UpperCamelCase    :		int       ,		UpperCamelCase    :		int       ,		UpperCamelCase    :		int    )    ->	bool:
    if xa == ya == 0 or xa == ya == 0:
        return False
    a__    = xa * xa + ya * ya
    a__    = xa * xa + ya * ya
    a__    = (xa - xa) * (xa - xa) + (ya - ya) * (ya - ya)
    return (
        a_square + b_square == c_square
        or a_square + c_square == b_square
        or b_square + c_square == a_square
    )



def 						__magic_name__		(				UpperCamelCase    :		int = 50    )    ->	int:
    return sum(
        1
        for pta, pta in combinations(product(range(limit + 1    )       ,		repeat=2    )       ,		2    )
        if is_right(*UpperCamelCase       ,		*UpperCamelCase    )    )


if __name__ == "__main__":
    print(F'''{solution() = }''')


