





"""simple docstring"""
import os
from pathlib import Path



def 					__lowerCamelCase       (							)      ->				List[str]:
      from torch.utils.cpp_extension import load

      __SCREAMING_SNAKE_CASE       :List[str]		    =  Path(a_							).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
      __SCREAMING_SNAKE_CASE       :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'''			,       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






"""simple docstring"""
from __future__ import annotations

import math



def 					__lowerCamelCase       (							a_					:		int			,       a_					:		int			,       a_					:		bool			,       a_					:		list[int]			,       a_					:		float							)      ->				int:

      if depth < 0:
            raise ValueError('''Depth cannot be less than 0'''							)

      if len(a_							) == 0:
            raise ValueError('''Scores cannot be empty'''							)

      if depth == height:
            return scores[node_index]

      if is_max:
            return max(
                minimax(depth + 1			,       node_index * 2			,       a_			,       a_			,       a_							)			,       minimax(depth + 1			,       node_index * 2 + 1			,       a_			,       a_			,       a_							)			,       )

      return min(
          minimax(depth + 1			,       node_index * 2			,       a_			,       a_			,       a_							)			,       minimax(depth + 1			,       node_index * 2 + 1			,       a_			,       a_			,       a_							)			,       )



def 					__lowerCamelCase       (							)      ->				None:
      __SCREAMING_SNAKE_CASE       :Dict		    =  [90, 23, 6, 33, 21, 65, 1_23, 3_44_23]
      __SCREAMING_SNAKE_CASE       :Optional[int]		    =  math.log(len(a_							)			,       2							)
      print('''Optimal value : '''			,       end=''''''							)
      print(minimax(0			,       0			,       a_			,       a_			,       a_							)							)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()