code: def test_ra_clustering_square():
      G = nx.path_graph(4)
      G.add_edge(0, 3)
      assert bipartite.robins_alexander_clustering(G) == 1.0
  
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 8 for calling a global function with example usage: test_ra_clustering_square() without return types