code: def test_triangle_and_edge(self):
      G = nx.cycle_graph(3, create_using=nx.DiGraph())
      G.add_edge(0, 4, weight=2)
      assert nx.clustering(G)[0] == 1 / 6
      # Relaxed comparisons to allow graphblas-algorithms to pass tests
      np.testing.assert_allclose(
          nx.clustering(G, weight="weight")[0], 1 / 12
      )
      np.testing.assert_allclose(
          nx.clustering(G, 0, weight="weight"), 1 / 12
      )
  
imports: import pytest
  import networkx
label_desc: Use image node_id 5 for calling the TestDirectedWeightedClustering obj's underlying member method code with example usage: obj.test_triangle_and_edge() without return types