code: def test_k23_like(self):
      # K2,3-like
      G = nx.complete_bipartite_graph(2, 3)
      G.add_edge(0, 1)
      assert sb(G) == pytest.approx(0.769, abs=1e-3)
  
      G = nx.complete_bipartite_graph(2, 3)
      G.add_edge(2, 4)
      assert sb(G) == pytest.approx(0.829, abs=1e-3)
  
      G = nx.complete_bipartite_graph(2, 3)
      G.add_edge(2, 4)
      G.add_edge(3, 4)
      assert sb(G) == pytest.approx(0.731, abs=1e-3)
  
      G = nx.complete_bipartite_graph(2, 3)
      G.add_edge(0, 1)
      G.add_edge(2, 4)
      assert sb(G) == pytest.approx(0.692, abs=1e-3)
  
      G = nx.complete_bipartite_graph(2, 3)
      G.add_edge(2, 4)
      G.add_edge(3, 4)
      G.add_edge(0, 1)
      assert sb(G) == pytest.approx(0.645, abs=1e-3)
  
      G = nx.complete_bipartite_graph(2, 3)
      G.add_edge(2, 4)
      G.add_edge(3, 4)
      G.add_edge(2, 3)
      assert sb(G) == pytest.approx(0.645, abs=1e-3)
  
      G = nx.complete_bipartite_graph(2, 3)
      G.add_edge(2, 4)
      G.add_edge(3, 4)
      G.add_edge(2, 3)
      G.add_edge(0, 1)
      assert sb(G) == pytest.approx(0.597, abs=1e-3)
  
imports: import pytest
  import networkx
  from networkx.algorithms.bipartite import spectral_bipartivity
label_desc: Use image node_id 2 for calling the TestSpectralBipartivity obj's underlying member method code with example usage: obj.test_k23_like() without return types