


from __future__ import annotations

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

__UpperCAmelCase      			=  TypeVar("""T""")
__UpperCAmelCase      			=  TypeVar("""U""")



class 							lowercase__(						Generic[T, U]			):






      '''simple docstring'''







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







         """simple docstring"""







         UpperCamelCase__ :			List[Any] 						=key
         UpperCamelCase__ :			Union[str, Any] 						=val
         UpperCamelCase__ :			int 						=0
         UpperCamelCase__ :			DoubleLinkedListNode[T, U] | None 						=None
         UpperCamelCase__ :			DoubleLinkedListNode[T, U] | None 						=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 							lowercase__(						Generic[T, U]			):






      '''simple docstring'''







      def __init__(		self)					->						None:







         """simple docstring"""







         UpperCamelCase__ :			DoubleLinkedListNode[T, U] 						=DoubleLinkedListNode(__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE)
         UpperCamelCase__ :			DoubleLinkedListNode[T, U] 						=DoubleLinkedListNode(__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE)
         UpperCamelCase__						,	UpperCamelCase__ :			Tuple 						=self.rear, self.head




      def __repr__(		self)					->						str:







         """simple docstring"""







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




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE)					->						None:







         """simple docstring"""







         UpperCamelCase__ :			str 						=self.rear.prev

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

         UpperCamelCase__ :			Any 						=node
         UpperCamelCase__ :			Any 						=previous
         UpperCamelCase__ :			int 						=node
         UpperCamelCase__ :			str 						=self.rear
         node.freq += 1
         self._position_node(__SCREAMING_SNAKE_CASE)




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE)					->						None:







         """simple docstring"""







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

            UpperCamelCase__ :			Optional[int] 						=previous_node.prev
            UpperCamelCase__ :			str 						=node.prev
            UpperCamelCase__ :			Union[str, Any] 						=previous_node
            UpperCamelCase__ :			Optional[Any] 						=node




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE)					->						DoubleLinkedListNode[T, U] | None:







         """simple docstring"""







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

         UpperCamelCase__ :			str 						=node.next
         UpperCamelCase__ :			Tuple 						=node.prev
         UpperCamelCase__ :			str 						=None
         UpperCamelCase__ :			Dict 						=None
         return node




class 							lowercase__(						Generic[T, U]			):






      '''simple docstring'''







      snake_case__       =					{}




      def __init__(		self   ,			__SCREAMING_SNAKE_CASE)					->						Tuple:







         """simple docstring"""







         UpperCamelCase__ :			DoubleLinkedList[T, U] 						=DoubleLinkedList()
         UpperCamelCase__ :			Tuple 						=capacity
         UpperCamelCase__ :			str 						=0
         UpperCamelCase__ :			Optional[int] 						=0
         UpperCamelCase__ :			Tuple 						=0
         UpperCamelCase__ :			dict[T, DoubleLinkedListNode[T, U]] 						={}




      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   ,			__SCREAMING_SNAKE_CASE)					->						bool:







         """simple docstring"""







         return key in self.cache




      def    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE)					->						U | None:







         """simple docstring"""







         if key in self.cache:
            self.hits += 1
            UpperCamelCase__ :			DoubleLinkedListNode[T, U] 						=self.cache[key]
            UpperCamelCase__ :			Optional[Any] 						=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    UpperCAmelCase							(		self   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE)					->						None:







         """simple docstring"""







         if key not in self.cache:
            if self.num_keys >= self.capacity:
               # delete first node when over capacity
               UpperCamelCase__ :			Optional[Any] 						=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
            UpperCamelCase__ :			List[Any] 						=DoubleLinkedListNode(__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE)
            self.list.add(self.cache[key])
            self.num_keys += 1

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




      @classmethod
      def    UpperCAmelCase							(		cls   ,			__SCREAMING_SNAKE_CASE = 1_28)					->						Callable[[Callable[[T], U]], Callable[..., U]]:







         """simple docstring"""







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

               UpperCamelCase__ :			Any 						=cls.decorator_function_to_instance_map[func].get(args[0])
               if result is None:
                  UpperCamelCase__ :			Tuple 						=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      )

