


"""simple docstring"""


class snake_case      :







		def __init__(					self      :       List[Any]    ,   a__      :       str    ,   a__      :       str    ,   a__      :       Dict		)       ->						int:





						'''simple docstring'''







						_A					  =			name
						_A					  =			value
						_A					  =			weight







		def __repr__(					self      :       Dict		)       ->						str:





						'''simple docstring'''







						return F"""{self.__class__.__name__}({self.name}, {self.value}, {self.weight})"""







		def  a_ (					self      :       Union[str, Any]		)       ->						Tuple:





						'''simple docstring'''







						return self.value







		def  a_ (					self      :       List[str]		)       ->						Optional[int]:





						'''simple docstring'''







						return self.name







		def  a_ (					self      :       List[str]		)       ->						Optional[Any]:





						'''simple docstring'''







						return self.weight







		def  a_ (					self      :       int		)       ->						Optional[int]:





						'''simple docstring'''







						return self.value / self.weight






def      a__ (				__lowercase     ,			__lowercase     ,			__lowercase   )	->	List[str]:
				_A					  =			[]
				for i in range(len(_lowerCamelCase   )   ):
								menu.append(Things(name[i]     ,			value[i]     ,			weight[i]   )   )
				return menu






def      a__ (				__lowercase     ,			__lowercase     ,			__lowercase   )	->	int:
				_A					  =			sorted(_lowerCamelCase     ,			key=_lowerCamelCase     ,			reverse=_lowerCamelCase   )
				_A					  =			[]
				_A  ,		_A					  =			0.0, 0.0
				for i in range(len(_lowerCamelCase   )   ):
								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__ (				)	->	str:
				pass


if __name__ == "__main__":
			import doctest

			doctest.testmod()



"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_       							=    {
    "configuration_upernet": ["UperNetConfig"],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a_       							=    [
		    "UperNetForSemanticSegmentation",
		    "UperNetPreTrainedModel",
		]


if TYPE_CHECKING:
		from .configuration_upernet import UperNetConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_upernet import UperNetForSemanticSegmentation, UperNetPreTrainedModel


else:
		import sys

		a_       							=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)