





import os
from pathlib import Path






def 				_UpperCAmelCase			(    ):




   '''simple docstring'''

   from torch.utils.cpp_extension import load

   UpperCAmelCase__						=Path(__snake_case     ).resolve().parent.parent.parent / 'kernels' / 'deformable_detr'
   UpperCAmelCase__						=[
       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"				,							__snake_case				,							with_cuda=__snake_case				,							extra_include_paths=[str(__snake_case     )]				,							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 			_lowerCAmelCase     (    __snake_case    :					int					,				__snake_case    :					int					,				__snake_case    :					int     )	->	float:
     __A		:					Dict						=			(num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
     # formula for sum of series
     return total






def 			_lowerCAmelCase     (    )	->	Union[str, Any]:
     print(sum_of_series(1					,				1					,				10     )     )


if __name__ == "__main__":
  import doctest

  doctest.testmod()