code: def test_ra_clustering_zero():
      G = nx.Graph()
      assert bipartite.robins_alexander_clustering(G) == 0
      G.add_nodes_from(range(4))
      assert bipartite.robins_alexander_clustering(G) == 0
      G.add_edges_from([(0, 1), (2, 3), (3, 4)])
      assert bipartite.robins_alexander_clustering(G) == 0
      G.add_edge(1, 2)
      assert bipartite.robins_alexander_clustering(G) == 0
  
file_path: networkx/networkx/algorithms/bipartite/tests/test_cluster.py
imports: import pytest
  import networkx
  from networkx.algorithms import bipartite
  from networkx.algorithms.bipartite.cluster import cc_dot, cc_max, cc_min
label_desc: Use image node_id 9 for calling a global function with example usage: test_ra_clustering_zero() without return types