code: def test_generate_random_paths_unweighted(self):
      np.random.seed(42)
  
      index_map = {}
      num_paths = 10
      path_length = 2
      G = nx.Graph()
      G.add_edge(0, 1)
      G.add_edge(0, 2)
      G.add_edge(0, 3)
      G.add_edge(1, 2)
      G.add_edge(2, 4)
      paths = nx.generate_random_paths(
          G, num_paths, path_length=path_length, index_map=index_map
      )
      expected_paths = [
          [3, 0, 3],
          [4, 2, 1],
          [2, 1, 0],
          [2, 0, 3],
          [3, 0, 1],
          [3, 0, 1],
          [4, 2, 0],
          [2, 1, 0],
          [3, 0, 2],
          [2, 1, 2],
      ]
      expected_map = {
          0: {0, 2, 3, 4, 5, 6, 7, 8},
          1: {1, 2, 4, 5, 7, 9},
          2: {1, 2, 3, 6, 7, 8, 9},
          3: {0, 3, 4, 5, 8},
          4: {1, 6},
      }
  
      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 43 for calling the TestSimilarity obj's underlying member method code with example usage: obj.test_generate_random_paths_unweighted() without return types