code: def test_min_edge_dominating_set(self):
      graph = nx.path_graph(5)
      dom_set = min_edge_dominating_set(graph)
  
      # this is a crappy way to test, but good enough for now.
      for edge in graph.edges():
          if edge in dom_set:
              continue
          else:
              u, v = edge
              found = False
              for dom_edge in dom_set:
                  found |= u == dom_edge[0] or u == dom_edge[1]
              assert found, "Non adjacent edge found!"
  
      graph = nx.complete_graph(10)
      dom_set = min_edge_dominating_set(graph)
  
      # this is a crappy way to test, but good enough for now.
      for edge in graph.edges():
          if edge in dom_set:
              continue
          else:
              u, v = edge
              found = False
              for dom_edge in dom_set:
                  found |= u == dom_edge[0] or u == dom_edge[1]
              assert found, "Non adjacent edge found!"
  
      graph = nx.Graph()  # empty Networkx graph
      with pytest.raises(
          ValueError, match="Expected non-empty NetworkX graph!"
      ):
          min_edge_dominating_set(graph)
  
file_path: networkx/networkx/algorithms/approximation/tests/test_dominating_set.py
imports: import pytest
  import networkx
  from networkx.algorithms.approximation import min_edge_dominating_set, min_weighted_dominating_set
label_desc: Use image node_id 4 for calling the TestMinWeightDominatingSet obj's underlying member method code with example usage: obj.test_min_edge_dominating_set() without return types