code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
  
      # Classifier that achieves an AUC of 0.5.
      self.imperfect_classifier_result = SingleAttackResult(
          slice_spec=SingleSliceSpec(None),
          attack_type=AttackType.THRESHOLD_ATTACK,
          roc_curve=RocCurve(
              tpr=np.array([0.0, 0.5, 1.0]),
              fpr=np.array([0.0, 0.5, 1.0]),
              thresholds=np.array([0, 1, 2]),
              test_train_ratio=1.0,
          ),
          epsilon_lower_bound_value=EpsilonLowerBoundValue(
              bounds={
                  elb.BoundMethod.KATZ_LOG: np.array([-2, -2.0]),
                  elb.BoundMethod.ADJUSTED_LOG: np.array([]),
              }
          ),
          data_size=DataSize(ntrain=1, ntest=1),
      )
  
      # Classifier that achieves an AUC of 1.0.
      self.perfect_classifier_result = SingleAttackResult(
          slice_spec=SingleSliceSpec(None),
          attack_type=AttackType.THRESHOLD_ATTACK,
          roc_curve=RocCurve(
              tpr=np.array([0.0, 1.0, 1.0]),
              fpr=np.array([1.0, 1.0, 0.0]),
              thresholds=np.array([0, 1, 2]),
              test_train_ratio=1.0,
          ),
          epsilon_lower_bound_value=EpsilonLowerBoundValue(
              bounds={
                  elb.BoundMethod.KATZ_LOG: np.array([-2, -2.0]),
                  elb.BoundMethod.ADJUSTED_LOG: np.array([10, 1.0]),
              }
          ),
          data_size=DataSize(ntrain=1, ntest=1),
      )
  
      self.results_epoch_0 = AttackResults(
          single_attack_results=[self.imperfect_classifier_result],
          privacy_report_metadata=PrivacyReportMetadata(
              accuracy_train=0.4,
              accuracy_test=0.3,
              epoch_num=0,
              model_variant_label="default",
          ),
      )
  
      self.results_epoch_10 = AttackResults(
          single_attack_results=[self.imperfect_classifier_result],
          privacy_report_metadata=PrivacyReportMetadata(
              accuracy_train=0.4,
              accuracy_test=0.3,
              epoch_num=10,
              model_variant_label="default",
          ),
      )
  
      self.results_epoch_15 = AttackResults(
          single_attack_results=[self.perfect_classifier_result],
          privacy_report_metadata=PrivacyReportMetadata(
              accuracy_train=0.5,
              accuracy_test=0.4,
              epoch_num=15,
              model_variant_label="default",
          ),
      )
  
      self.results_epoch_15_model_2 = AttackResults(
          single_attack_results=[self.perfect_classifier_result],
          privacy_report_metadata=PrivacyReportMetadata(
              accuracy_train=0.6,
              accuracy_test=0.7,
              epoch_num=15,
              model_variant_label="model 2",
          ),
      )
  
      self.attack_results_no_metadata = AttackResults(
          single_attack_results=[self.perfect_classifier_result]
      )
  
imports: from absl.testing import absltest
  import numpy
  from tensorflow_privacy.privacy.privacy_tests import epsilon_lower_bound
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack import privacy_report
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import AttackResults
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import AttackResultsCollection
  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 EpsilonLowerBoundValue
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import PrivacyReportMetadata
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import RocCurve
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import SingleAttackResult
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import SingleSliceSpec
label_desc: Use image node_id 1 to create a new PrivacyReportTest object from inherited base classes: absltest with example: obj = PrivacyReportTest()