code: def test_sklearnex_import_pairwise_distances():
      from sklearnex.metrics import pairwise_distances
  
      rng = np.random.RandomState(0)
      x = np.abs(rng.rand(4), dtype=np.float64)
      x = np.vstack([x, x])
      res = pairwise_distances(x, metric="cosine")
      assert_allclose(res, [[0.0, 0.0], [0.0, 0.0]], atol=1e-2)
  
imports: import numpy
  from numpy.testing import assert_allclose
  from sklearn.datasets import load_breast_cancer
label_desc: Use image node_id 2 for calling a global function with example usage: test_sklearnex_import_pairwise_distances() without return types