code: def test_binary_clf_curve_multiclass_error(setup):
      rng = check_random_state(404)
      y_true = rng.randint(0, 3, size=10)
      y_pred = rng.rand(10)
      msg = "multiclass format is not supported"
  
      with pytest.raises(ValueError, match=msg):
          roc_curve(y_true, y_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 20 for calling a global function with example usage: test_binary_clf_curve_multiclass_error(setup) without return types