code: def test_rbf_kernel(setup):
      rs = np.random.RandomState(0)
      raw_X = rs.rand(10, 4)
      raw_Y = rs.rand(11, 4)
  
      r = rbf_kernel(raw_X, raw_Y)
      result = r.to_numpy()
      expected = sklearn_rbf_kernel(raw_X, raw_Y)
  
      np.testing.assert_almost_equal(result, expected)
  
imports: import numpy
  from sklearn.metrics.pairwise import rbf_kernel
  from ..None import rbf_kernel
label_desc: Use image node_id 1 for calling a global function with example usage: test_rbf_kernel(setup) without return types