code: def test_graph_edit_distance_edge_match(self):
      G1 = path_graph(6)
      G2 = path_graph(6)
      for e, attr in G1.edges.items():
          attr["color"] = "red" if min(e) % 2 == 0 else "blue"
      for e, attr in G2.edges.items():
          attr["color"] = "red" if min(e) // 3 == 0 else "blue"
      assert graph_edit_distance(G1, G2) == 0
      assert (
          graph_edit_distance(
              G1,
              G2,
              edge_match=lambda e1, e2: e1["color"] == e2["color"],
          )
          == 2
      )
  
imports: import pytest
  import networkx
  from networkx.algorithms.similarity import graph_edit_distance, optimal_edit_paths, optimize_graph_edit_distance
  from networkx.generators.classic import circular_ladder_graph, cycle_graph, path_graph, wheel_graph
label_desc: Use image node_id 5 for calling the TestSimilarity obj's underlying member method code with example usage: obj.test_graph_edit_distance_edge_match() without return types