



import os
from pathlib import Path
def    lowerCamelCase__ (		):
  from torch.utils.cpp_extension import load

  a		:      List[str]       =  Path(_A       ).resolve().parent.parent.parent / 'kernels' / 'deformable_detr'
  a		:      Dict       =  [
      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'''






class 							a__:







    def __init__(   self				:						Dict		,    __snake_case				:						Optional[int]		,    __snake_case				:						Any		,    __snake_case				:						Tuple			):
      a		:      List[str]       =  name
      a		:      Dict       =  value
      a		:      List[str]       =  weight







    def __repr__(   self				:						int			):
      return F"""{self.__class__.__name__}({self.name}, {self.value}, {self.weight})"""







    def     lowercase_ (   self				:						Optional[int]			):
      return self.value







    def     lowercase_ (   self				:						List[str]			):
      return self.name







    def     lowercase_ (   self				:						int			):
      return self.weight







    def     lowercase_ (   self				:						List[str]			):
      return self.value / self.weight
def    lowerCamelCase__ (		_A				,    _A				,    _A       ):
  a		:      Optional[int]       =  []
  for i in range(len(_A       )       ):
    menu.append(Things(name[i]				,    value[i]				,    weight[i]       )       )
  return menu
def    lowerCamelCase__ (		_A				,    _A				,    _A       ):
  a		:      Optional[Any]       =  sorted(_A				,    key=_A				,    reverse=_A       )
  a		:      Optional[int]       =  []
  a     ,			a		:      str       =  0.0, 0.0
  for i in range(len(_A       )       ):
    if (total_cost + items_copy[i].get_weight()) <= max_cost:
      result.append(items_copy[i]       )
      total_cost += items_copy[i].get_weight()
      total_value += items_copy[i].get_value()
  return (result, total_value)
def    lowerCamelCase__ (		):
  pass


if __name__ == "__main__":
     import doctest

     doctest.testmod()