code: def test_graph_edit_distance_edge_cost(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"
  
      def edge_subst_cost(gattr, hattr):
          if gattr["color"] == hattr["color"]:
              return 0.01
          else:
              return 0.1
  
      def edge_del_cost(attr):
          if attr["color"] == "blue":
              return 0.2
          else:
              return 0.5
  
      def edge_ins_cost(attr):
          if attr["color"] == "blue":
              return 0.4
          else:
              return 1.0
  
      assert (
          graph_edit_distance(
              G1,
              G2,
              edge_subst_cost=edge_subst_cost,
              edge_del_cost=edge_del_cost,
              edge_ins_cost=edge_ins_cost,
          )
          == 0.23
      )
  
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 7 for calling the TestSimilarity obj's underlying member method code with example usage: obj.test_graph_edit_distance_edge_cost() and returns: int, int, int, int, int, int