




"""simple docstring"""
from __future__ import annotations

from queue import Queue







class  _SCREAMING_SNAKE_CASE       :



 '''simple docstring'''





 def __init__(self   ):

  '''simple docstring'''







  _UpperCamelCase      :	dict[int, list[int]]					      =  {}






 def lowercase_      (self   ):

  '''simple docstring'''







  for i in self.vertices:
   print(lowerCAmelCase__					,     " : "					,     " -> ".join([str(lowerCAmelCase__   ) for j in self.vertices[i]]   )   )






 def lowercase_      (self					,     lowerCAmelCase__					,     lowerCAmelCase__   ):

  '''simple docstring'''







  if from_vertex in self.vertices:
   self.vertices[from_vertex].append(lowerCAmelCase__   )
  else:
   _UpperCamelCase      :	List[Any]					      =  [to_vertex]






 def lowercase_      (self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	str					      =  set()

  # create a first in first out queue to store all the vertices for BFS
  _UpperCamelCase      :	Queue					      =  Queue()

  # mark the source node as visited and enqueue it
  visited.add(lowerCAmelCase__   )
  queue.put(lowerCAmelCase__   )

  while not queue.empty():
   _UpperCamelCase      :	Any					      =  queue.get()

   # loop through all adjacent vertex and enqueue it if not yet visited
   for adjacent_vertex in self.vertices[vertex]:
    if adjacent_vertex not in visited:
     queue.put(lowerCAmelCase__   )
     visited.add(lowerCAmelCase__   )
  return visited


if __name__ == "__main__":
    from doctest import testmod

    testmod(verbose=True)

    _SCREAMING_SNAKE_CASE						 =     Graph()
    g.add_edge(0, 1)
    g.add_edge(0, 2)
    g.add_edge(1, 2)
    g.add_edge(2, 0)
    g.add_edge(2, 3)
    g.add_edge(3, 3)

    g.print_graph()
    # 0  :  1 -> 2
    # 1  :  2
    # 2  :  0 -> 3
    # 3  :  3

    assert sorted(g.bfs(2)) == [0, 1, 2, 3]









"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_SCREAMING_SNAKE_CASE						 =     logging.get_logger(__name__)







class  _SCREAMING_SNAKE_CASE       (     SCREAMING_SNAKE_CASE__				):



 '''simple docstring'''





 def __init__(self					,     *lowerCAmelCase__					,     **lowerCAmelCase__   ):

  '''simple docstring'''







  warnings.warn(
      "The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
      " Please use LayoutLMv3ImageProcessor instead."					,     lowerCAmelCase__					,     )
  super().__init__(*lowerCAmelCase__					,     **lowerCAmelCase__   )



