






"""simple docstring"""







from math import pi, sqrt






def 						lowercase__(A						)    ->float:




						"""simple docstring"""



						if num <= 0:
												raise ValueError("math domain error"						)
						if num > 171.5:
												raise OverflowError("math range error"						)
						elif num - int(A						) not in (0, 0.5):
												raise NotImplementedError("num must be an integer or a half-integer"						)
						elif num == 0.5:
												return sqrt(A						)
						else:
												return 1.0 if num == 1 else (num - 1) * gamma(num - 1						)






def 						lowercase__()    ->None:




						"""simple docstring"""



						assert gamma(0.5						) == sqrt(A						)
						assert gamma(1						) == 1.0
						assert gamma(2						) == 1.0


if __name__ == "__main__":
			from doctest import testmod

			testmod()
			a			:    Tuple				 =		1.0
			while num:
						a			:    List[Any]				 =		float(input("""Gamma of: """))
						print(F"""gamma({num}) = {gamma(num)}""")
						print("""\nEnter 0 to exit...""")














"""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






