



from abc import ABC, abstractmethod
from typing import Optional, Union

from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit
from ..utils.typing import NestedDataStructureLike, PathLike

class 							a__(      __lowerCamelCase			):







    def __init__(   self				:						Dict		,    __snake_case				:						List[str] = None		,    __snake_case				:						Union[str, Any] = None		,    __snake_case				:						List[Any] = None		,    __snake_case				:						Dict = None		,    __snake_case				:						Optional[Any] = False		,    __snake_case				:						int = False		,    __snake_case				:						Any = None		,    **__snake_case				:						List[Any]		,    ):
      a		:      Optional[Any]       =  path_or_paths
      a		:      List[str]       =  split if split or isinstance(a_		,    a_			) else "train"
      a		:      Tuple       =  features
      a		:      List[str]       =  cache_dir
      a		:      Optional[int]       =  keep_in_memory
      a		:      Dict       =  streaming
      a		:      Dict       =  num_proc
      a		:      Any       =  kwargs







    @abstractmethod
    def     lowercase_ (   self				:						Optional[int]			):
      pass

class 							a__(      __lowerCamelCase			):







    def __init__(   self				:						Union[str, Any]		,    __snake_case				:						Union[str, Any] = None		,    __snake_case				:						str = None		,    __snake_case				:						str = False		,    __snake_case				:						Tuple = False		,    __snake_case				:						Dict = None		,    **__snake_case				:						Optional[Any]		,    ):
      a		:      Any       =  features
      a		:      Optional[Any]       =  cache_dir
      a		:      Optional[Any]       =  keep_in_memory
      a		:      int       =  streaming
      a		:      Tuple       =  num_proc
      a		:      Optional[Any]       =  kwargs







    @abstractmethod
    def     lowercase_ (   self				:						Dict			):
      pass




'''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()