



'''simple docstring'''






import torch

from diffusers import DiffusionPipeline

class 							a__(      lowerCamelCase__			):







    def __init__(   self				:						List[str]		,    __snake_case				:						List[Any]		,    __snake_case				:						int			):
      super().__init__()

      self.register_modules(unet=__snake_case		,    scheduler=__snake_case			)







    def __call__(   self				:						List[Any]			):
      a		:      Optional[int]       =  torch.randn(
          (1, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)		,    )
      a		:      List[str]       =  1

      a		:      Any       =  self.unet(__snake_case		,    __snake_case			).sample
      a		:      Any       =  self.scheduler.step(__snake_case		,    __snake_case		,    __snake_case			).prev_sample

      a		:      Optional[int]       =  scheduler_output - scheduler_output + torch.ones_like(__snake_case			)

      return result




'''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()