






"""simple docstring"""





import torch
from torch import autograd







class 		_a       (						autograd.Function   ):





   '''simple docstring'''






   @staticmethod
   def __lowercase    (   UpperCAmelCase_			,				UpperCAmelCase_			,				UpperCAmelCase_			,				UpperCAmelCase_)	-> Dict:




          '''simple docstring'''




          lowercase__:    str        =      inputs.numel()
          lowercase__:    List[str]        =      int(0.0_05 * nb_elems) + 1
          if sigmoid:
                 lowercase__:    Any        =      (torch.sigmoid(UpperCAmelCase_) > threshold).type(inputs.type())
          else:
                 lowercase__:    Dict        =      (inputs > threshold).type(inputs.type())
          if mask.sum() < nb_min:
                 # We limit the pruning so that at least 0.5% (half a percent) of the weights are remaining
                 lowercase__:    Dict        =      inputs.flatten().kthvalue(max(nb_elems - nb_min			,				1)).values
                 lowercase__:    List[Any]        =      (inputs > k_threshold).type(inputs.type())
          return mask





   @staticmethod
   def __lowercase    (   UpperCAmelCase_			,				UpperCAmelCase_)	-> Any:




          '''simple docstring'''




          return gradOutput, None, None







class 		_a       (						autograd.Function   ):





   '''simple docstring'''






   @staticmethod
   def __lowercase    (   UpperCAmelCase_			,				UpperCAmelCase_			,				UpperCAmelCase_)	-> int:




          '''simple docstring'''




          lowercase__:    str        =      inputs.clone()
          lowercase__  ,     lowercase__:    Any        =      inputs.flatten().sort(descending=UpperCAmelCase_)
          lowercase__:    Tuple        =      int(threshold * inputs.numel())

          # flat_out and mask access the same memory.
          lowercase__:    Optional[Any]        =      mask.flatten()
          lowercase__:    Optional[int]        =      0
          lowercase__:    Optional[int]        =      1
          return mask





   @staticmethod
   def __lowercase    (   UpperCAmelCase_			,				UpperCAmelCase_)	-> List[str]:




          '''simple docstring'''




          return gradOutput, None







class 		_a       (						lowercase_   ):





   '''simple docstring'''






   @staticmethod
   def __lowercase    (   UpperCAmelCase_			,				UpperCAmelCase_)	-> List[str]:




          '''simple docstring'''




          lowercase__:    Optional[int]        =      inputs.clone()
          lowercase__  ,     lowercase__:    Tuple        =      inputs.abs().flatten().sort(descending=UpperCAmelCase_)
          lowercase__:    Union[str, Any]        =      int(threshold * inputs.numel())

          # flat_out and mask access the same memory.
          lowercase__:    List[Any]        =      mask.flatten()
          lowercase__:    Optional[int]        =      0
          lowercase__:    List[Any]        =      1
          return mask














"""simple docstring"""





class 		_a       :





   '''simple docstring'''






   def __init__(   self			,				UpperCAmelCase_=None)	-> List[Any]:




          '''simple docstring'''




          lowercase__:    str        =      data
          lowercase__:    Any        =      None





   def __repr__(   self)	-> Optional[Any]:




          '''simple docstring'''




          lowercase__:    Any        =      ""
          lowercase__:    Dict        =      self
          while temp:
                 string_rep += F"""<{temp.data}> ---> """
                 lowercase__:    Tuple        =      temp.next
          string_rep += "<END>"
          return string_rep







def     A(  snake_case_		):
       """simple docstring"""





       if not elements_list:
              raise Exception("The Elements List is empty"		)

       # Set first element as Head
       lowercase__:    Any        =      Node(elements_list[0]		)
       lowercase__:    Optional[int]        =      head
       # Loop through elements from position 1
       for data in elements_list[1:]:
              lowercase__:    Dict        =      Node(snake_case_		)
              lowercase__:    Dict        =      current.next
       return head


UpperCamelCase			=      [1, 3, 5, 32, 44, 12, 43]
print(F"List: {list_data}")
print("""Creating Linked List from List.""")
UpperCamelCase			=      make_linked_list(list_data)
print("""Linked List:""")







print(linked_list)






