






'''simple docstring'''







import os
from pathlib import Path
def     A__      (					):
						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 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__ = 2_0_0_0_0_0_0		):
      UpperCamelCase__     : Dict											=					[0 for i in range(n + 1		)]
      UpperCamelCase__     : Any											=					1
      UpperCamelCase__     : int											=					1

      for i in range(2			,		int(n**0.5		) + 1		):
            if primality_list[i] == 0:
                  for j in range(i * i			,		n + 1			,		UpperCamelCase__		):
                        UpperCamelCase__     : Any											=					1
      UpperCamelCase__     : Optional[Any]											=					0
      for i in range(UpperCamelCase__		):
            if primality_list[i] == 0:
                  sum_of_primes += i
      return sum_of_primes


if __name__ == "__main__":
    print(F'''{solution() = }''')


