code: def test_run_attack_threshold_entropy_calculates_correct_auc(self):
      result = mia._run_attack(
          AttackInputData(
              entropy_train=np.array([0.1, 0.2, 1.3, 0.4, 0.5, 0.6]),
              entropy_test=np.array([1.1, 1.2, 1.3, 0.4, 1.5, 1.6]),
          ),
          AttackType.THRESHOLD_ENTROPY_ATTACK,
      )
  
      np.testing.assert_almost_equal(
          result.roc_curve.get_auc(), 0.83, decimal=2
      )
  
imports: from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from tensorflow_privacy.privacy.privacy_tests import epsilon_lower_bound
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack import membership_inference_attack
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack import models
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import AttackInputData
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import AttackType
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import DataSize
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import SingleSliceSpec
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import SlicingFeature
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import SlicingSpec
label_desc: Use image node_id 14 for calling the RunAttacksTest obj's underlying member method code with example usage: obj.test_run_attack_threshold_entropy_calculates_correct_auc() without return types