






"""simple docstring"""







import unittest

from knapsack import greedy_knapsack as kp


class    __UpperCAmelCase(       unittest.TestCase							):




						"""simple docstring"""




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				List[Any]=	[10, 20, 30, 40, 50, 60]
												lowercase__    :				int=	[2, 4, 6, 8, 10, 12]
												lowercase__    :				Union[str, Any]=	100
												self.assertEqual(kp.calc_profit(snake_case__	,  snake_case__	,  snake_case__      )	,  210      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												self.assertRaisesRegex(snake_case__	,  "max_weight must greater than zero."      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												self.assertRaisesRegex(snake_case__	,  "Weight can not be negative."      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												self.assertRaisesRegex(snake_case__	,  "Profit can not be negative."      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												self.assertRaisesRegex(snake_case__	,  "max_weight must greater than zero."      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												self.assertRaisesRegex(
												    snake_case__	,  "The length of profit and weight must be same."      )


if __name__ == "__main__":
			unittest.main()














"""simple docstring"""







import os
from pathlib import Path





def 						lowercase__()    ->List[Any]:




						"""simple docstring"""



						from torch.utils.cpp_extension import load

						lowercase__    :				Any=	Path(A						).resolve().parent.parent.parent / "kernels" / "deformable_detr"
						lowercase__    :				Any=	[
						    root / filename
						    for filename in [
						        "vision.cpp",
						        os.path.join("cpu" ,		"ms_deform_attn_cpu.cpp"						),
						        os.path.join("cuda" ,		"ms_deform_attn_cuda.cu"						),
						    ]
						]

						load(
						    "MultiScaleDeformableAttention" ,		A ,		with_cuda=A ,		extra_include_paths=[str(A						)] ,		extra_cflags=["-DWITH_CUDA=1"] ,		extra_cuda_cflags=[
						        "-DCUDA_HAS_FP16=1",
						        "-D__CUDA_NO_HALF_OPERATORS__",
						        "-D__CUDA_NO_HALF_CONVERSIONS__",
						        "-D__CUDA_NO_HALF2_OPERATORS__",
						    ] ,		)

						import MultiScaleDeformableAttention as MSDA

						return MSDA






