code: 
  
  
  from __future__ import annotations
  
  from collections.abc import Callable
  from typing import Generic, TypeVar
  
  _SCREAMING_SNAKE_CASE    :				str       =					TypeVar("T")
  _SCREAMING_SNAKE_CASE    :				Tuple       =					TypeVar("U")
  
  class       A__      (					Generic[T, U]			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      __snake_case    ,      __snake_case					):
           snake_case					=       key
           snake_case					=       val
           snake_case					=       0
           snake_case					=       None
           snake_case					=       None
  
  
  
  
      def __repr__( self					):
           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       A__      (					Generic[T, U]			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self					):
           snake_case					=       DoubleLinkedListNode(__A    ,      __A					)
           snake_case					=       DoubleLinkedListNode(__A    ,      __A					)
           snake_case					=       self.rear, self.head
      def __repr__( self					):
           snake_case					=       ["DoubleLinkedList"]
           snake_case					=       self.head
           while node.next is not None:
                rep.append(str(__A					)					)
                snake_case					=       node.next
           rep.append(str(self.rear					)					)
           return ",\n    ".join(__A					)
      def 	a_    ( self    ,      __snake_case					):
           snake_case					=       self.rear.prev
  
           # All nodes other than self.head are guaranteed to have non-None previous
           assert previous is not None
  
           snake_case					=       node
           snake_case					=       previous
           snake_case					=       node
           snake_case					=       self.rear
           node.freq += 1
           self._position_node(__A					)
      def 	a_    ( self    ,      __snake_case					):
  
  
  
  
  
  
  
           while node.prev is not None and node.prev.freq > node.freq:
                # swap node with previous node
                snake_case					=       node.prev
  
                snake_case					=       previous_node.prev
                snake_case					=       node.prev
                snake_case					=       previous_node
                snake_case					=       node
  
  
  
  
      def 	a_    ( self    ,      __snake_case					):
  
  
  
  
  
  
  
           if node.prev is None or node.next is None:
                return None
  
           snake_case					=       node.next
           snake_case					=       node.prev
           snake_case					=       None
           snake_case					=       None
           return node
  
  
  
  
  
  
  class       A__      (					Generic[T, U]			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      __magic_name__    						=	{}
      def __init__( self    ,      __snake_case					):
           snake_case					=       DoubleLinkedList()
           snake_case					=       capacity
           snake_case					=       0
           snake_case					=       0
           snake_case					=       0
           snake_case					=       {}
      def __repr__( self					):
           return (
               F'''CacheInfo(hits={self.hits}, misses={self.miss}, '''
               F'''capacity={self.capacity}, current_size={self.num_keys})'''
           )
      def __contains__( self    ,      __snake_case					):
           return key in self.cache
      def 	a_    ( self    ,      __snake_case					):
  
  
  
  
  
  
  
           if key in self.cache:
                self.hits += 1
                snake_case					=       self.cache[key]
                snake_case					=       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(__A					)
                return node.val
           self.miss += 1
           return None
      def 	a_    ( self    ,      __snake_case    ,      __snake_case					):
  
  
  
  
  
  
  
           if key not in self.cache:
                if self.num_keys >= self.capacity:
                     # delete first node when over capacity
                     snake_case					=       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(__A					) is not None
                     # first_node guaranteed to be in list
  
                     del self.cache[first_node.key]
                     self.num_keys -= 1
                snake_case					=       DoubleLinkedListNode(__A    ,      __A					)
                self.list.add(self.cache[key]					)
                self.num_keys += 1
  
           else:
                snake_case					=       self.list.remove(self.cache[key]					)
                assert node is not None  # node guaranteed to be in list
                snake_case					=       value
                self.list.add(__A					)
  
  
  
  
      @classmethod
      def 	a_    ( cls    ,      __snake_case = 1_2_8					):
  
  
  
  
  
  
  
           def cache_decorator_inner(__snake_case					) -> Callable[..., U]:
                def cache_decorator_wrapper(*__snake_case					) -> U:
                     if func not in cls.decorator_function_to_instance_map:
                          snake_case					=       LFUCache(__A					)
  
                     snake_case					=       cls.decorator_function_to_instance_map[func].get(args[0]					)
                     if result is None:
                          snake_case					=       func(*__A					)
                          cls.decorator_function_to_instance_map[func].put(args[0]    ,      __A					)
                     return result
  
                def cache_info() -> LFUCache[T, U]:
                     return cls.decorator_function_to_instance_map[func]
  
                setattr(__A    ,      '''cache_info'''    ,      __A					)  # noqa: B010
  
                return cache_decorator_wrapper
  
           return cache_decorator_inner
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod()
  
  
  
  
  
style_context: 
  
  
  from ..utils import deprecate
  from .attention_processor import (  # noqa: F401
      Attention,
      AttentionProcessor,
      AttnAddedKVProcessor,
      AttnProcessor2_0,
      LoRAAttnProcessor,
      LoRALinearLayer,
      LoRAXFormersAttnProcessor,
      SlicedAttnAddedKVProcessor,
      SlicedAttnProcessor,
      XFormersAttnProcessor,
  )
  from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401
  
  
  deprecate(
      "cross_attention",
      "0.20.0",
      "Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.",
      standard_warn=False,
  )
  
  
  _SCREAMING_SNAKE_CASE    :				Optional[int]       =					AttentionProcessor
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  