




import warnings

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


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







class 				UpperCAmelCase(					snake_case_					):



	"""simple docstring"""






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





								"""simple docstring"""


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





def  snake_case_					(		)      ->			int:

							for a in range(3_00    ):
														for b in range(a + 1    ,4_00    ):
																					for c in range(b + 1    ,5_00    ):
																												if (a + b + c) == 10_00 and (a**2) + (b**2) == (c**2):
																																			return a * b * c

							return -1
def  snake_case_					(		)      ->			int:

							for a in range(3_00    ):
														for b in range(4_00    ):
																					lowercase__  :	Dict        =							10_00 - a - b
																					if a < b < c and (a**2) + (b**2) == (c**2):
																												return a * b * c

							return -1
def  snake_case_					(		)      ->			None:
							import timeit

							print(
							    timeit.timeit("solution()"    ,setup="from __main__ import solution"    ,number=10_00    )    )
							print(
							    timeit.timeit(
							        "solution_fast()"    ,setup="from __main__ import solution_fast"    ,number=10_00    )    )


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