code: def test_compute_ranks():
      Y1 = 5.5 * Y / Y.shape[0]
      Y2 = _compute_ranks(Y)
      assert_array_almost_equal(Y1, Y2)
  
imports: import numpy
  from sklearn.utils._testing import assert_array_almost_equal
  from inverse_covariance.rank_correlation import _compute_ranks, spearman_correlation, kendalltau_correlation
label_desc: Use image node_id 1 for calling a global function with example usage: test_compute_ranks() without return types