code: def test_generate_random_paths_weighted(self):
      np.random.seed(42)
  
      index_map = {}
      num_paths = 10
      path_length = 6
      G = nx.Graph()
      G.add_edge("a", "b", weight=0.6)
      G.add_edge("a", "c", weight=0.2)
      G.add_edge("c", "d", weight=0.1)
      G.add_edge("c", "e", weight=0.7)
      G.add_edge("c", "f", weight=0.9)
      G.add_edge("a", "d", weight=0.3)
      paths = nx.generate_random_paths(
          G, num_paths, path_length=path_length, index_map=index_map
      )
  
      expected_paths = [
          ["d", "c", "f", "c", "d", "a", "b"],
          ["e", "c", "f", "c", "f", "c", "e"],
          ["d", "a", "b", "a", "b", "a", "c"],
          ["b", "a", "d", "a", "b", "a", "b"],
          ["d", "a", "b", "a", "b", "a", "d"],
          ["d", "a", "b", "a", "b", "a", "c"],
          ["d", "a", "b", "a", "b", "a", "b"],
          ["f", "c", "f", "c", "f", "c", "e"],
          ["d", "a", "d", "a", "b", "a", "b"],
          ["e", "c", "f", "c", "e", "c", "d"],
      ]
      expected_map = {
          "d": {0, 2, 3, 4, 5, 6, 8, 9},
          "c": {0, 1, 2, 5, 7, 9},
          "f": {0, 1, 9, 7},
          "a": {0, 2, 3, 4, 5, 6, 8},
          "b": {0, 2, 3, 4, 5, 6, 8},
          "e": {1, 9, 7},
      }
  
      assert expected_paths == list(paths)
      assert expected_map == index_map
  
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 44 for calling the TestSimilarity obj's underlying member method code with example usage: obj.test_generate_random_paths_weighted() without return types