





import os
from pathlib import Path


def       UpperCamelCase__(			)->Union[str, Any]:
       from torch.utils.cpp_extension import load

       A__		   =		Path(UpperCamelCase__    ).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
       A__		   =		[
           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'''					,	UpperCamelCase__					,	with_cuda=UpperCamelCase__					,	extra_include_paths=[str(UpperCamelCase__    )]					,	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












from __future__ import annotations

import math
from collections.abc import Callable


def       UpperCamelCase__(			UpperCamelCase__     :			Callable[[int | float], int | float]					,	UpperCamelCase__     :			int | float					,	UpperCamelCase__     :			int | float					,	UpperCamelCase__     :			int = 1_00					,	)->float:
       A__		   =		x_start
       A__		   =		fnc(UpperCamelCase__    )
       A__		   =		0.0

       for _ in range(UpperCamelCase__    ):
              # Approximates curve as a sequence of linear lines and sums their length
              A__		   =		(x_end - x_start) / steps + xa
              A__		   =		fnc(UpperCamelCase__    )
              length += math.hypot(xa - xa					,	fxa - fxa    )

              # Increment step
              A__		   =		xa
              A__		   =		fxa

       return length


if __name__ == "__main__":


       def       UpperCamelCase__(			UpperCamelCase__     :			Union[str, Any]    )->Dict:
              return math.sin(10 * x    )

       print('f(x) = sin(10 * x)')
       print('The length of the curve from x = -10 to x = 10 is:')
       a__: str							   =						10
       while i <= 100_000:
              print(F"With {i} steps: {line_length(f, -10, 10, i)}")
              i *= 10





