code: def test_degree_barrat(self):
      G = nx.star_graph(5)
      G.add_edges_from([(5, 6), (5, 7), (5, 8), (5, 9)])
      G[0][5]["weight"] = 5
      nd = nx.average_neighbor_degree(G)[5]
      assert nd == 1.8
      nd = nx.average_neighbor_degree(G, weight="weight")[5]
      assert nd == pytest.approx(3.222222, abs=1e-5)
  
file_path: networkx/networkx/algorithms/assortativity/tests/test_neighbor_degree.py
imports: import pytest
  import networkx
label_desc: Use image node_id 5 for calling the TestAverageNeighbor obj's underlying member method code with example usage: obj.test_degree_barrat() without return types