code: def test_roc_auc_score_with_sklearn_single_raise():
      y_true = np.array([1])
      y_score = np.array([0.9])
      with pytest.raises(ValueError):
          sklearn.metrics.roc_auc_score(y_true, y_score)
      with pytest.raises(ValueError):
          roc_auc(y_true, y_score)
  
imports: import numpy
  import pytest
  import sklearn
  from autogluon.core.metrics import confusion_matrix, log_loss, quadratic_kappa, roc_auc
  from autogluon.core.metrics.softclass_metrics import soft_log_loss
label_desc: Use image node_id 16 for calling a global function with example usage: test_roc_auc_score_with_sklearn_single_raise() without return types