'''simple docstring'''

from __future__ import annotations

from typing import Any







class 				_lowercase     :


 '''simple docstring'''






 def __init__(      self   :	Dict      ,       SCREAMING_SNAKE_CASE__   :	int							)  ->    None:
  __lowerCAmelCase											=						num_of_nodes
  __lowerCAmelCase											=						[]
  __lowerCAmelCase											=						{}
 def a					(      self   :	Any      ,       SCREAMING_SNAKE_CASE__   :	int      ,       SCREAMING_SNAKE_CASE__   :	int      ,       SCREAMING_SNAKE_CASE__   :	int							)  ->    None:
  self.m_edges.append([u_node, v_node, weight]							)
 def a					(      self   :	Optional[int]      ,       SCREAMING_SNAKE_CASE__   :	int							)  ->    int:

  if self.m_component[u_node] == u_node:
   return u_node
  return self.find_component(self.m_component[u_node]							)
 def a					(      self   :	Union[str, Any]      ,       SCREAMING_SNAKE_CASE__   :	int							)  ->    None:

  if self.m_component[u_node] != u_node:
   for k in self.m_component:
    __lowerCAmelCase											=						self.find_component(SCREAMING_SNAKE_CASE__							)
 def a					(      self   :	Dict      ,       SCREAMING_SNAKE_CASE__   :	list[int]      ,       SCREAMING_SNAKE_CASE__   :	int      ,       SCREAMING_SNAKE_CASE__   :	int							)  ->    None:

  if component_size[u_node] <= component_size[v_node]:
   __lowerCAmelCase											=						v_node
   component_size[v_node] += component_size[u_node]
   self.set_component(SCREAMING_SNAKE_CASE__							)

  elif component_size[u_node] >= component_size[v_node]:
   __lowerCAmelCase											=						self.find_component(SCREAMING_SNAKE_CASE__							)
   component_size[u_node] += component_size[v_node]
   self.set_component(SCREAMING_SNAKE_CASE__							)





 def a					(      self   :	List[str]							)  ->    None:
  __lowerCAmelCase											=						[]
  __lowerCAmelCase											=						0

  __lowerCAmelCase											=						[-1] * self.m_num_of_nodes

  # A list of components (initialized to all of the nodes)
  for node in range(self.m_num_of_nodes							):
   self.m_component.update({node: node}							)
   component_size.append(1							)

  __lowerCAmelCase											=						self.m_num_of_nodes

  while num_of_components > 1:
   for edge in self.m_edges:
    __lowerCAmelCase							,       __lowerCAmelCase							,       __lowerCAmelCase											=						edge

    __lowerCAmelCase											=						self.m_component[u]
    __lowerCAmelCase											=						self.m_component[v]

    if u_component != v_component:

     for component in (u_component, v_component):
      if (
          minimum_weight_edge[component] == -1
          or minimum_weight_edge[component][2] > w
      ):
       __lowerCAmelCase											=						[u, v, w]

   for edge in minimum_weight_edge:
    if isinstance(SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							):
     __lowerCAmelCase							,       __lowerCAmelCase							,       __lowerCAmelCase											=						edge

     __lowerCAmelCase											=						self.m_component[u]
     __lowerCAmelCase											=						self.m_component[v]

     if u_component != v_component:
      mst_weight += w
      self.union(SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							)
      print(f"""Added edge [{u} - {v}]\nAdded weight: {w}\n"""							)
      num_of_components -= 1

   __lowerCAmelCase											=						[-1] * self.m_num_of_nodes
  print(f"""The total weight of the minimal spanning tree is: {mst_weight}"""							)







def      UpperCamelCase_						(					)					->     None:






 '''simple docstring'''



if __name__ == "__main__":
 import doctest

 doctest.testmod()







'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


_A			:      Optional[int]					      =				logging.get_logger(__name__)







class 				_lowercase     (				UpperCAmelCase__			):


 '''simple docstring'''






 def __init__(      self   :	Dict      ,       *SCREAMING_SNAKE_CASE__   :	Optional[int]      ,       **SCREAMING_SNAKE_CASE__   :	List[str]							)  ->    None:
  warnings.warn(
      """The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
      """ Please use SegformerImageProcessor instead."""      ,       SCREAMING_SNAKE_CASE__      ,       )
  super().__init__(*SCREAMING_SNAKE_CASE__      ,       **SCREAMING_SNAKE_CASE__							)






