



from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

lowerCAmelCase:      int		 =		TypeVar('T')
def    lowerCamelCase__ (		_A       ):
  return (position - 1) // 2
def    lowerCamelCase__ (		_A       ):
  return (2 * position) + 1
def    lowerCamelCase__ (		_A       ):
  return (2 * position) + 2

class 							a__(      Generic[T]			):







    def __init__(   self				:						Any			):
      a		:      list[tuple[T, int]]       =  []
      a		:      dict[T, int]       =  {}
      a		:      int       =  0







    def __len__(   self				:						Optional[Any]			):
      return self.elements







    def __repr__(   self				:						int			):
      return str(self.heap			)







    def     lowercase_ (   self				:						Any			):
      return self.elements == 0







    def     lowercase_ (   self				:						List[Any]		,    __snake_case				:						List[Any]		,    __snake_case				:						List[str]			):
      self.heap.append((elem, weight)			)
      a		:      Optional[Any]       =  self.elements
      self.elements += 1
      self._bubble_up(lowercase__			)







    def     lowercase_ (   self				:						Any			):






      if self.elements > 1:
        self._swap_nodes(0		,    self.elements - 1			)
      a		:      int       =  self.heap.pop()
      del self.position_map[elem]
      self.elements -= 1
      if self.elements > 0:
        a		:      List[Any]       =  self.heap[0]
        self._bubble_down(lowercase__			)
      return elem







    def     lowercase_ (   self				:						Dict		,    __snake_case				:						int		,    __snake_case				:						int			):
      a		:      Union[str, Any]       =  self.position_map[elem]
      a		:      Tuple       =  (elem, weight)
      if position > 0:
        a		:      Tuple       =  get_parent_position(lowercase__			)
        a		:      List[Any]       =  self.heap[parent_position]
        if parent_weight > weight:
          self._bubble_up(lowercase__			)
        else:
          self._bubble_down(lowercase__			)
      else:
        self._bubble_down(lowercase__			)







    def     lowercase_ (   self				:						Optional[Any]		,    __snake_case				:						Dict			):
      a		:      int       =  self.position_map[elem]
      if curr_pos == 0:
        return None
      a		:      Optional[int]       =  get_parent_position(lowercase__			)
      a		:      List[Any]       =  self.heap[curr_pos]
      a		:      int       =  self.heap[parent_position]
      if parent_weight > weight:
        self._swap_nodes(lowercase__		,    lowercase__			)
        return self._bubble_up(lowercase__			)
      return None







    def     lowercase_ (   self				:						int		,    __snake_case				:						List[str]			):
      a		:      int       =  self.position_map[elem]
      a		:      Optional[Any]       =  self.heap[curr_pos]
      a		:      int       =  get_child_left_position(lowercase__			)
      a		:      Union[str, Any]       =  get_child_right_position(lowercase__			)
      if child_left_position < self.elements and child_right_position < self.elements:
        a		:      str       =  self.heap[child_left_position]
        a		:      Optional[Any]       =  self.heap[child_right_position]
        if child_right_weight < child_left_weight and child_right_weight < weight:
          self._swap_nodes(lowercase__		,    lowercase__			)
          return self._bubble_down(lowercase__			)
      if child_left_position < self.elements:
        a		:      Optional[int]       =  self.heap[child_left_position]
        if child_left_weight < weight:
          self._swap_nodes(lowercase__		,    lowercase__			)
          return self._bubble_down(lowercase__			)
      else:
        return None
      if child_right_position < self.elements:
        a		:      List[Any]       =  self.heap[child_right_position]
        if child_right_weight < weight:
          self._swap_nodes(lowercase__		,    lowercase__			)
          return self._bubble_down(lowercase__			)
      return None







    def     lowercase_ (   self				:						Tuple		,    __snake_case				:						List[Any]		,    __snake_case				:						Optional[Any]			):
      a		:      List[str]       =  self.heap[nodea_pos][0]
      a		:      List[Any]       =  self.heap[nodea_pos][0]
      a		:      Optional[Any]       =  (
          self.heap[nodea_pos],
          self.heap[nodea_pos],
      )
      a		:      Dict       =  nodea_pos
      a		:      List[str]       =  nodea_pos

class 							a__(      Generic[T]			):







    def __init__(   self				:						Any			):
      a		:      dict[T, dict[T, int]]       =  {}
      a		:      int       =  0







    def __repr__(   self				:						str			):
      return str(self.connections			)







    def __len__(   self				:						List[str]			):
      return self.nodes







    def     lowercase_ (   self				:						List[Any]		,    __snake_case				:						str			):






      if node not in self.connections:
        a		:      List[str]       =  {}
        self.nodes += 1







    def     lowercase_ (   self				:						Dict		,    __snake_case				:						Dict		,    __snake_case				:						Any		,    __snake_case				:						Any			):
      self.add_node(lowercase__			)
      self.add_node(lowercase__			)
      a		:      int       =  weight
      a		:      Any       =  weight
def    lowerCamelCase__ (		_A				,    ):
  a		:      dict[T, int]       =  {node: maxsize for node in graph.connections}
  a		:      dict[T, T | None]       =  {node: None for node in graph.connections}

  a		:      MinPriorityQueue[T]       =  MinPriorityQueue()
  for node, weight in dist.items():
    priority_queue.push(SCREAMING_SNAKE_CASE_				,    SCREAMING_SNAKE_CASE_       )

  if priority_queue.is_empty():
    return dist, parent

  # initialization
  a		:      Union[str, Any]       =  priority_queue.extract_min()
  a		:      int       =  0
  for neighbour in graph.connections[node]:
    if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
      a		:      Tuple       =  dist[node] + graph.connections[node][neighbour]
      priority_queue.update_key(SCREAMING_SNAKE_CASE_				,    dist[neighbour]       )
      a		:      Dict       =  node

    # running prim's algorithm
  while not priority_queue.is_empty():
    a		:      List[str]       =  priority_queue.extract_min()
    for neighbour in graph.connections[node]:
      if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
        a		:      Dict       =  dist[node] + graph.connections[node][neighbour]
        priority_queue.update_key(SCREAMING_SNAKE_CASE_				,    dist[neighbour]       )
        a		:      List[Any]       =  node
  return dist, parent




'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


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

class 							a__(      lowerCamelCase__			):







    def __init__(   self				:						Union[str, Any]		,    *__snake_case				:						List[str]		,    **__snake_case				:						Union[str, Any]			):
      warnings.warn(
          'The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
          ' Please use ChineseCLIPImageProcessor instead.'		,    __snake_case		,    )
      super().__init__(*__snake_case		,    **__snake_case			)