






def    UpperCamelCase						(	_A = 1000			):






						"""simple docstring"""







						__magic_name__						,__magic_name__      :       Optional[Any]       						= 1, 1
						__magic_name__      :       Optional[int]       						= []
						for i in range(1,   n + 1			):
												__magic_name__      :       Dict       						= prev_numerator + 2 * prev_denominator
												__magic_name__      :       List[str]       						= prev_numerator + prev_denominator
												if len(str(_A			)			) > len(str(_A			)			):
																		result.append(_A			)
												__magic_name__      :       int       						= numerator
												__magic_name__      :       Dict       						= denominator

						return len(_A			)


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








import os
from pathlib import Path

def    UpperCamelCase						(	):






						"""simple docstring"""







						from torch.utils.cpp_extension import load

						__magic_name__      :       Dict       						= Path(_A			).resolve().parent.parent.parent / """kernels""" / """deformable_detr"""
						__magic_name__      :       Optional[int]       						= [
						    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
