
"""simple docstring"""




import os
from pathlib import Path



def 							a__ (				):






     '''simple docstring'''
     from torch.utils.cpp_extension import load

     UpperCAmelCase__							: Tuple 							=						Path(lowerCAmelCase		).resolve().parent.parent.parent / "kernels" / "deformable_detr"
     UpperCAmelCase__							: List[str] 							=						[
         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





"""simple docstring"""




def 							a__ (				lowerCAmelCase	:       list       ,    lowerCAmelCase	:       list		):






     '''simple docstring'''
     _validate_point(lowerCAmelCase		)
     _validate_point(lowerCAmelCase		)
     if len(lowerCAmelCase		) != len(lowerCAmelCase		):
          raise ValueError("Both points must be in the same n-dimensional space"		)

     return float(sum(abs(a - b		) for a, b in zip(lowerCAmelCase       ,    lowerCAmelCase		)		)		)



def 							a__ (				lowerCAmelCase	:       list[float]		):






     '''simple docstring'''
     if point:
          if isinstance(lowerCAmelCase       ,    lowerCAmelCase		):
               for item in point:
                    if not isinstance(lowerCAmelCase       ,    (int, float)		):
                         UpperCAmelCase__							: Tuple 							=						(
                             "Expected a list of numbers as input, found "
                             F"{type(lowerCAmelCase		).__name__}"
                         )
                         raise TypeError(lowerCAmelCase		)
          else:
               UpperCAmelCase__							: Dict 							=						F"Expected a list of numbers as input, found {type(lowerCAmelCase		).__name__}"
               raise TypeError(lowerCAmelCase		)
     else:
          raise ValueError("Missing an input"		)



def 							a__ (				lowerCAmelCase	:       list       ,    lowerCAmelCase	:       list		):






     '''simple docstring'''
     _validate_point(lowerCAmelCase		)
     _validate_point(lowerCAmelCase		)
     if len(lowerCAmelCase		) != len(lowerCAmelCase		):
          raise ValueError("Both points must be in the same n-dimensional space"		)

     return float(sum(abs(x - y		) for x, y in zip(lowerCAmelCase       ,    lowerCAmelCase		)		)		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()



