code: def test_sklearnex_import_roc_auc():
      from sklearnex.linear_model import LogisticRegression
      from sklearnex.metrics import roc_auc_score
  
      X, y = load_breast_cancer(return_X_y=True)
      clf = LogisticRegression(solver="liblinear", random_state=0).fit(
          X, y
      )
      res = roc_auc_score(y, clf.decision_function(X))
      assert_allclose(res, 0.99, 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 1 for calling a global function with example usage: test_sklearnex_import_roc_auc() without return types