code: def test_cliques():
      """test the computation of cliques"""
      x = np.random.rand(20, 2)
      x[15:] += 2.0
      g = knn(x, 5)
      g.set_gaussian(x, 1.0)
      cliques = g.cliques()
      assert len(np.unique(cliques)) > 1
  
imports: import numpy
  import numpy.random
  from numpy.testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from ..graph import WeightedGraph, complete_graph, concatenate_graphs, eps_nn, knn, mst, wgraph_from_3d_grid, wgraph_from_adjacency, wgraph_from_coo_matrix
label_desc: Use image node_id 49 for calling a global function with example usage: test_cliques() without return types