

from __future__ import annotations

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

UpperCamelCase__	:   Union[str, Any]								=     TypeVar("T")
UpperCamelCase__	:   List[Any]								=     TypeVar("U")



class    __snake_case	(     Generic[T, U]							):

  def __init__(       self    ,		_A    ,		_A):
      SCREAMING_SNAKE_CASE_						=    key
      SCREAMING_SNAKE_CASE_						=    val
      SCREAMING_SNAKE_CASE_						=    0
      SCREAMING_SNAKE_CASE_						=    None
      SCREAMING_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    __snake_case	(     Generic[T, U]							):

  def __init__(       self):
      SCREAMING_SNAKE_CASE_						=    DoubleLinkedListNode(_A    ,		_A)
      SCREAMING_SNAKE_CASE_						=    DoubleLinkedListNode(_A    ,		_A)
      SCREAMING_SNAKE_CASE_				,      SCREAMING_SNAKE_CASE_						=    self.rear, self.head

  def __repr__(       self):
      SCREAMING_SNAKE_CASE_						=    ['DoubleLinkedList']
      SCREAMING_SNAKE_CASE_						=    self.head
      while node.next is not None:
          rep.append(str(_A))
          SCREAMING_SNAKE_CASE_						=    node.next
      rep.append(str(self.rear))
      return ",\n    ".join(_A)

  def     lowerCAmelCase__  (       self    ,		_A):
      SCREAMING_SNAKE_CASE_						=    self.rear.prev

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

      SCREAMING_SNAKE_CASE_						=    node
      SCREAMING_SNAKE_CASE_						=    previous
      SCREAMING_SNAKE_CASE_						=    node
      SCREAMING_SNAKE_CASE_						=    self.rear
      node.freq += 1
      self._position_node(_A)

  def     lowerCAmelCase__  (       self    ,		_A):

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

          SCREAMING_SNAKE_CASE_						=    previous_node.prev
          SCREAMING_SNAKE_CASE_						=    node.prev
          SCREAMING_SNAKE_CASE_						=    previous_node
          SCREAMING_SNAKE_CASE_						=    node


  def     lowerCAmelCase__  (       self    ,		_A):

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

      SCREAMING_SNAKE_CASE_						=    node.next
      SCREAMING_SNAKE_CASE_						=    node.prev
      SCREAMING_SNAKE_CASE_						=    None
      SCREAMING_SNAKE_CASE_						=    None
      return node






class    __snake_case	(     Generic[T, U]							):
  __lowerCAmelCase  :						dict[Callable[[T], U], LFUCache[T, U]]    			=	{}

  def __init__(       self    ,		_A):
      SCREAMING_SNAKE_CASE_						=    DoubleLinkedList()
      SCREAMING_SNAKE_CASE_						=    capacity
      SCREAMING_SNAKE_CASE_						=    0
      SCREAMING_SNAKE_CASE_						=    0
      SCREAMING_SNAKE_CASE_						=    0
      SCREAMING_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    ,		_A):
      return key in self.cache

  def     lowerCAmelCase__  (       self    ,		_A):

      if key in self.cache:
          self.hits += 1
          SCREAMING_SNAKE_CASE_						=    self.cache[key]
          SCREAMING_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     lowerCAmelCase__  (       self    ,		_A    ,		_A):

      if key not in self.cache:
          if self.num_keys >= self.capacity:
              # delete first node when over capacity
              SCREAMING_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
          SCREAMING_SNAKE_CASE_						=    DoubleLinkedListNode(_A    ,		_A)
          self.list.add(self.cache[key])
          self.num_keys += 1

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


  @classmethod
  def     lowerCAmelCase__  (       cls    ,		_A = 128):

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

              SCREAMING_SNAKE_CASE_						=    cls.decorator_function_to_instance_map[func].get(args[0])
              if result is None:
                  SCREAMING_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()





import warnings

from ...utils import logging
from .image_processing_vilt import ViltImageProcessor


UpperCamelCase__	:   Optional[Any]								=     logging.get_logger(__name__)



class    __snake_case	(     lowerCAmelCase__							):

  def __init__(       self    ,		*_A    ,		**_A):
      warnings.warn(
          'The class ViltFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
          ' use ViltImageProcessor instead.'    ,		_A    ,		)
      super().__init__(*_A    ,		**_A)


