code: def test_panther_similarity_weighted(self):
      np.random.seed(42)
  
      G = nx.Graph()
      G.add_edge("v1", "v2", w=5)
      G.add_edge("v1", "v3", w=1)
      G.add_edge("v1", "v4", w=2)
      G.add_edge("v2", "v3", w=0.1)
      G.add_edge("v3", "v5", w=1)
      expected = {"v3": 0.75, "v4": 0.5, "v2": 0.5, "v5": 0.25}
      sim = nx.panther_similarity(G, "v1", path_length=2, weight="w")
      assert sim == expected
  
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 40 for calling the TestSimilarity obj's underlying member method code with example usage: obj.test_panther_similarity_weighted() without return types