code: def test_roc_curve_multi(setup):
      # roc_curve not applicable for multi-class problems
      y_true, _, probas_pred = make_prediction(binary=False)
  
      with pytest.raises(ValueError):
          roc_curve(y_true, probas_pred)
  
imports: import re
  import warnings
  import numpy
  import pandas
  import pytest
  from sklearn.metrics import roc_curve, auc, accuracy_score
  from sklearn.metrics.tests.test_ranking import make_prediction, _auc
  from sklearn.exceptions import UndefinedMetricWarning
  from sklearn.utils import check_random_state
  from sklearn.utils._testing import assert_almost_equal, assert_array_almost_equal
  from ....None import dataframe
  from ....None import tensor
  from ...utils.extmath import softmax
  from ..None import roc_curve, auc, accuracy_score, roc_auc_score
label_desc: Use image node_id 5 for calling a global function with example usage: test_roc_curve_multi(setup) without return types