


"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


lowerCAmelCase__      				=   logging.get_logger(__name__)


class       SCREAMING_SNAKE_CASE__				(		UpperCAmelCase__				):
       """simple docstring"""


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






         """simple docstring"""





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









def 	lowerCAmelCase       (						lowerCAmelCase_       )->       set:
				lowerCAmelCase_       :					Optional[int]			 = set()
				# edges = list of graph's edges
				lowerCAmelCase_       :					List[str]			 = get_edges(lowerCAmelCase_       )

				# While there are still elements in edges list, take an arbitrary edge
				# (from_node, to_node) and add his extremity to chosen_vertices and then
				# remove all arcs adjacent to the from_node and to_node
				while edges:
								lowerCAmelCase_ ,     lowerCAmelCase_       :					Optional[int]			 = edges.pop()
								chosen_vertices.add(lowerCAmelCase_       )
								chosen_vertices.add(lowerCAmelCase_       )
								for edge in edges.copy():
												if from_node in edge or to_node in edge:
																edges.discard(lowerCAmelCase_       )
				return chosen_vertices



def 	lowerCAmelCase       (						lowerCAmelCase_       )->       set:
				lowerCAmelCase_       :					List[Any]			 = set()
				for from_node, to_nodes in graph.items():
								for to_node in to_nodes:
												edges.add((from_node, to_node)       )
				return edges


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						# graph = {0: [1, 3], 1: [0, 3], 2: [0, 3, 4], 3: [0, 1, 2], 4: [2, 3]}
						# print(f"Matching vertex cover:\n{matching_min_vertex_cover(graph)}")