



'''simple docstring'''
class 				lowercase__      :





	def __init__(					self   :							List[str]					,lowerCamelCase__   :							Optional[int]					,lowerCamelCase__   :							Dict					,lowerCamelCase__   :							Any					):







							'''simple docstring'''
							_UpperCamelCase   :						Tuple												=  name
							_UpperCamelCase   :						List[Any]												=  value
							_UpperCamelCase   :						Union[str, Any]												=  weight





	def __repr__(					self   :							int					):







							'''simple docstring'''
							return F'{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'





	def       UpperCamelCase_    (					self   :							List[str]					):







							'''simple docstring'''
							return self.value





	def       UpperCamelCase_    (					self   :							List[Any]					):







							'''simple docstring'''
							return self.name





	def       UpperCamelCase_    (					self   :							Any					):







							'''simple docstring'''
							return self.weight





	def       UpperCamelCase_    (					self   :							Optional[Any]					):







							'''simple docstring'''
							return self.value / self.weight






def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_    ,    UpperCAmelCase_				):
						_UpperCamelCase   :						str												=  []
						for i in range(len(UpperCAmelCase_				)				):
												menu.append(Things(name[i]    ,    value[i]    ,    weight[i]				)				)
						return menu






def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_    ,    UpperCAmelCase_				):
						_UpperCamelCase   :						int												=  sorted(UpperCAmelCase_    ,    key=UpperCAmelCase_    ,    reverse=UpperCAmelCase_				)
						_UpperCamelCase   :						Tuple												=  []
						_UpperCamelCase							,     _UpperCamelCase   :						Union[str, Any]												=  0.0, 0.0
						for i in range(len(UpperCAmelCase_				)				):
												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 A__       (	):
						pass


if __name__ == "__main__":
					import doctest

					doctest.testmod()







'''simple docstring'''
import os
from pathlib import Path






def A__       (	):
						from torch.utils.cpp_extension import load

						_UpperCamelCase   :						Optional[Any]												=  Path(UpperCAmelCase_				).resolve().parent.parent.parent / 'kernels' / 'deformable_detr'
						_UpperCamelCase   :						Tuple												=  [
						    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


