code: def test_graph_edit_distance_node_cost(self):
      G1 = path_graph(6)
      G2 = path_graph(6)
      for n, attr in G1.nodes.items():
          attr["color"] = "red" if n % 2 == 0 else "blue"
      for n, attr in G2.nodes.items():
          attr["color"] = "red" if n % 2 == 1 else "blue"
  
      def node_subst_cost(uattr, vattr):
          if uattr["color"] == vattr["color"]:
              return 1
          else:
              return 10
  
      def node_del_cost(attr):
          if attr["color"] == "blue":
              return 20
          else:
              return 50
  
      def node_ins_cost(attr):
          if attr["color"] == "blue":
              return 40
          else:
              return 100
  
      assert (
          graph_edit_distance(
              G1,
              G2,
              node_subst_cost=node_subst_cost,
              node_del_cost=node_del_cost,
              node_ins_cost=node_ins_cost,
          )
          == 6
      )
  
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 6 for calling the TestSimilarity obj's underlying member method code with example usage: obj.test_graph_edit_distance_node_cost() and returns: int, int, int, int, int, int