
import os
from pathlib import Path



def      __lowerCAmelCase						(							)  ->    Tuple:
       from torch.utils.cpp_extension import load

       lowerCamelCase_							  =					Path(_lowerCamelCase       ).resolve().parent.parent.parent / "kernels" / "deformable_detr"
       lowerCamelCase_							  =					[
           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"""			,				_lowerCamelCase			,				with_cuda=_lowerCamelCase			,				extra_include_paths=[str(_lowerCamelCase       )]			,				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







def      __lowerCAmelCase						(							UpperCAmelCase__				:      int			,				UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float       )  ->    float:
							return round(float(moles / volume       ) * nfactor       )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float       )  ->    float:
							return round(float((moles * 0.0_8_2_1 * temperature) / (volume)       )       )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float       )  ->    float:
							return round(float((moles * 0.0_8_2_1 * temperature) / (pressure)       )       )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float       )  ->    float:
							return round(float((pressure * volume) / (0.0_8_2_1 * moles)       )       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()





