import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


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



class    lowercase_    (     __snake_case		):



							def __init__(						self      ,				*lowercase_      ,				**lowercase_				):
													warnings.warn(
													    "The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
													    " Please use ConditionalDetrImageProcessor instead."      ,				lowercase_      ,				)
													super().__init__(*lowercase_      ,				**lowercase_				)

'''simple docstring'''

from itertools import combinations, product







def __A  (    lowerCAmelCase_ ,       lowerCAmelCase_ ,       lowerCAmelCase_ ,       lowerCAmelCase_       ):
     if xa == ya == 0 or xa == ya == 0:
          return False
     _UpperCAmelCase					:  Any         =    xa * xa + ya * ya
     _UpperCAmelCase					:  Any         =    xa * xa + ya * ya
     _UpperCAmelCase					:  Tuple         =    (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 __A  (    lowerCAmelCase_ = 50       ):
     return sum(
         1
         for pta, pta in combinations(product(range(limit + 1       ) ,       repeat=2       ) ,       2       )
         if is_right(*lowerCAmelCase_ ,       *lowerCAmelCase_       )       )


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


