
"""simple docstring"""




class       __magic_name__							:
       def __init__(  self							)  ->						Tuple:





         """simple docstring"""




         _lowercase:      Tuple   			=  {}
       def 				lowercase_				(  self							)  ->						None:





         """simple docstring"""




         print(self.vertex							)
         for i in self.vertex:
           print(A_			,					''' -> '''			,					''' -> '''.join([str(A_							) for j in self.vertex[i]]							)							)
       def 				lowercase_				(  self			,					A_			,					A_							)  ->						None:





         """simple docstring"""




         if from_vertex in self.vertex:
           self.vertex[from_vertex].append(A_							)
         else:
           # else make a new vertex
           _lowercase:      List[str]   			=  [to_vertex]
       def 				lowercase_				(  self							)  ->						None:





         """simple docstring"""




         _lowercase:      Optional[Any]   			=  [False] * len(self.vertex							)

         # call the recursive helper function
         for i in range(len(self.vertex							)							):
           if not visited[i]:
             self.dfs_recursive(A_			,					A_							)



       def 				lowercase_				(  self			,					A_			,					A_							)  ->						None:





         """simple docstring"""




         _lowercase:      Any   			=  True

         print(A_			,					end=''' '''							)

         # Recur for all the vertices that are adjacent to this node
         for i in self.vertex:
           if not visited[i]:
             self.dfs_recursive(A_			,					A_							)


if __name__ == "__main__":
  A__ :       int				= 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()
  print('DFS:')
  g.dfs()

  # OUTPUT:
  # 0  ->  1 -> 2
  # 1  ->  2
  # 2  ->  0 -> 3
  # 3  ->  3
  # DFS:
  #  0 1 2 3


"""simple docstring"""




import warnings

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


A__ :       List[Any]				= logging.get_logger(__name__)


class       __magic_name__							(							SCREAMING_SNAKE_CASE__			):
       def __init__(  self			,					*A_			,					**A_							)  ->						None:





         """simple docstring"""




         warnings.warn(
             '''The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
             ''' Please use SegformerImageProcessor instead.'''			,					A_			,					)
         super().__init__(*A_			,					**A_							)
