code: def test_auc(setup):
      # Test Area Under Curve (AUC) computation
      x = [0, 1]
      y = [0, 1]
      np.testing.assert_array_almost_equal(auc(x, y).fetch(), 0.5)
      x = [1, 0]
      y = [0, 1]
      np.testing.assert_array_almost_equal(auc(x, y).fetch(), 0.5)
      x = [1, 0, 0]
      y = [0, 1, 1]
      np.testing.assert_array_almost_equal(auc(x, y).fetch(), 0.5)
      x = [0, 1]
      y = [1, 1]
      np.testing.assert_array_almost_equal(auc(x, y).fetch(), 1)
      x = [0, 0.5, 1]
      y = [0, 0.5, 1]
      np.testing.assert_array_almost_equal(auc(x, y).fetch(), 0.5)
  
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 12 for calling a global function with example usage: test_auc(setup) without return types