



'''simple docstring'''


from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

lowercase											=      TypeVar('''T''')
lowercase											=      TypeVar('''U''')







class 						UpperCAmelCase						(		Generic[T, U]):


 '''simple docstring'''




 def __init__( self				,	lowerCAmelCase_				,	lowerCAmelCase_)			->   Union[str, Any]:



      """simple docstring"""







      a_									=key
      a_									=val
      a_									=0
      a_									=None
      a_									=None




 def __repr__( self)			->   str:



      """simple docstring"""







      return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
          self.key				,	self.val				,	self.freq				,	self.next is not None				,	self.prev is not None)







class 						UpperCAmelCase						(		Generic[T, U]):


 '''simple docstring'''




 def __init__( self)			->   None:



      """simple docstring"""







      a_									=DoubleLinkedListNode(__SCREAMING_SNAKE_CASE				,	__SCREAMING_SNAKE_CASE)
      a_									=DoubleLinkedListNode(__SCREAMING_SNAKE_CASE				,	__SCREAMING_SNAKE_CASE)
      a_									=self.rear, self.head




 def __repr__( self)			->   str:



      """simple docstring"""







      a_									=["DoubleLinkedList"]
      a_									=self.head
      while node.next is not None:
           rep.append(str(__SCREAMING_SNAKE_CASE))
           a_									=node.next
      rep.append(str(self.rear))
      return ",\n    ".join(__SCREAMING_SNAKE_CASE)




 def    lowercase_	( self				,	lowerCAmelCase_)			->   None:



      """simple docstring"""







      a_									=self.rear.prev

      # All nodes other than self.head are guaranteed to have non-None previous
      assert previous is not None

      a_									=node
      a_									=previous
      a_									=node
      a_									=self.rear
      node.freq += 1
      self._position_node(__SCREAMING_SNAKE_CASE)




 def    lowercase_	( self				,	lowerCAmelCase_)			->   None:



      """simple docstring"""







      while node.prev is not None and node.prev.freq > node.freq:
           # swap node with previous node
           a_									=node.prev

           a_									=previous_node.prev
           a_									=node.prev
           a_									=previous_node
           a_									=node




 def    lowercase_	( self				,	lowerCAmelCase_)			->   DoubleLinkedListNode[T, U] | None:



      """simple docstring"""







      if node.prev is None or node.next is None:
           return None

      a_									=node.next
      a_									=node.prev
      a_									=None
      a_									=None
      return node







class 						UpperCAmelCase						(		Generic[T, U]):


 '''simple docstring'''




 __magic_name__       :			Union[str, Any]	=   {}




 def __init__( self				,	lowerCAmelCase_)			->   Tuple:



      """simple docstring"""







      a_									=DoubleLinkedList()
      a_									=capacity
      a_									=0
      a_									=0
      a_									=0
      a_									={}




 def __repr__( self)			->   str:



      """simple docstring"""







      return (
          f"""CacheInfo(hits={self.hits}, misses={self.miss}, """
          f"""capacity={self.capacity}, current_size={self.num_keys})"""
      )




 def __contains__( self				,	lowerCAmelCase_)			->   bool:



      """simple docstring"""







      return key in self.cache




 def    lowercase_	( self				,	lowerCAmelCase_)			->   U | None:



      """simple docstring"""







      if key in self.cache:
           self.hits += 1
           a_									=self.cache[key]
           a_									=self.list.remove(self.cache[key])
           assert node == value_node

           # node is guaranteed not None because it is in self.cache
           assert node is not None
           self.list.add(__SCREAMING_SNAKE_CASE)
           return node.val
      self.miss += 1
      return None




 def    lowercase_	( self				,	lowerCAmelCase_				,	lowerCAmelCase_)			->   None:



      """simple docstring"""







      if key not in self.cache:
           if self.num_keys >= self.capacity:
                # delete first node when over capacity
                a_									=self.list.head.next

                # guaranteed to have a non-None first node when num_keys > 0
                # explain to type checker via assertions
                assert first_node is not None
                assert first_node.key is not None
                assert self.list.remove(__SCREAMING_SNAKE_CASE) is not None
                # first_node guaranteed to be in list

                del self.cache[first_node.key]
                self.num_keys -= 1
           a_									=DoubleLinkedListNode(__SCREAMING_SNAKE_CASE				,	__SCREAMING_SNAKE_CASE)
           self.list.add(self.cache[key])
           self.num_keys += 1

      else:
           a_									=self.list.remove(self.cache[key])
           assert node is not None  # node guaranteed to be in list
           a_									=value
           self.list.add(__SCREAMING_SNAKE_CASE)




 @classmethod
 def    lowercase_	( cls				,	lowerCAmelCase_ = 1_2_8)			->   Callable[[Callable[[T], U]], Callable[..., U]]:



      """simple docstring"""







      def cache_decorator_inner(lowerCAmelCase_) -> Callable[..., U]:
           def cache_decorator_wrapper(*lowerCAmelCase_) -> U:
                if func not in cls.decorator_function_to_instance_map:
                     a_									=LFUCache(__SCREAMING_SNAKE_CASE)

                a_									=cls.decorator_function_to_instance_map[func].get(args[0])
                if result is None:
                     a_									=func(*__SCREAMING_SNAKE_CASE)
                     cls.decorator_function_to_instance_map[func].put(args[0]				,	__SCREAMING_SNAKE_CASE)
                return result

           def cache_info() -> LFUCache[T, U]:
                return cls.decorator_function_to_instance_map[func]

           setattr(__SCREAMING_SNAKE_CASE				,	"cache_info"				,	__SCREAMING_SNAKE_CASE)  # noqa: B010

           return cache_decorator_wrapper

      return cache_decorator_inner


if __name__ == "__main__":
  import doctest

  doctest.testmod()






import numpy as np
import PIL
import torch
import torchvision.transforms as T
import torchvision.transforms.functional as TF
from PIL import Image
def 	_lowerCamelCase  (		A_  :	Optional[int]							,  A_  :	List[Any]=2_5_6      )			->			Tuple:

   '''simple docstring'''






   UpperCamelCase__ :			Optional[Any] 						=min(img.size      )

   if s < target_image_size:
      raise ValueError(f'''min dim for image {s} < {target_image_size}'''      )

   UpperCamelCase__ :			Optional[Any] 						=target_image_size / s
   UpperCamelCase__ :			Optional[Any] 						=(round(r * img.size[1]      ), round(r * img.size[0]      ))
   UpperCamelCase__ :			List[Any] 						=TF.resize(A_							,  A_							,  interpolation=PIL.Image.LANCZOS      )
   UpperCamelCase__ :			Optional[int] 						=TF.center_crop(A_							,  output_size=2 * [target_image_size]      )
   UpperCamelCase__ :			Union[str, Any] 						=torch.unsqueeze(T.ToTensor()(A_      )							,  0      )
   return img
def 	_lowerCamelCase  (		A_  :	Optional[int]      )			->			Optional[Any]:

   '''simple docstring'''






   UpperCamelCase__ :			List[Any] 						=2.0 * x - 1.0
   return x
def 	_lowerCamelCase  (		A_  :	Union[str, Any]							,  A_  :	Any=True							,  A_  :	int="RGB"      )			->			int:

   '''simple docstring'''






   UpperCamelCase__ :			Dict 						=x.detach().cpu()
   if process:
      UpperCamelCase__ :			Optional[int] 						=post_process_tensor(A_      )
   UpperCamelCase__ :			Optional[int] 						=x.numpy()
   if process:
      UpperCamelCase__ :			Dict 						=(2_5_5 * x).astype(np.uinta      )
   UpperCamelCase__ :			int 						=Image.fromarray(A_      )
   if not x.mode == mode:
      UpperCamelCase__ :			Tuple 						=x.convert(A_      )
   return x
def 	_lowerCamelCase  (		A_  :	Dict      )			->			List[str]:

   '''simple docstring'''






   UpperCamelCase__ :			List[str] 						=torch.clamp(A_							,  -1.0							,  1.0      )
   UpperCamelCase__ :			Union[str, Any] 						=(x + 1.0) / 2.0
   UpperCamelCase__ :			Union[str, Any] 						=x.permute(1							,  2							,  0      )
   return x
def 	_lowerCamelCase  (		A_  :	Tuple      )			->			List[str]:

   '''simple docstring'''






   UpperCamelCase__ :			List[str] 						=post_process_tensor(x.squeeze()      )
   return x.permute(2							,  0							,  1      ).unsqueeze(0      )

