docstr: Initialize the test class.
code: def __init__(self, methodname):
      """Initialize the test class."""
      super().__init__(methodname)
  
      # Create test data for 3 class classification task.
      logits_train = np.array(
          [[0, 1, 0], [2, 0, 3], [4, 5, 0], [6, 7, 0]]
      )
      logits_test = np.array(
          [[10, 0, 11], [12, 13, 0], [14, 15, 0], [0, 16, 17]]
      )
      probs_train = np.array(
          [[0, 1, 0], [0.1, 0, 0.7], [0.4, 0.6, 0], [0.3, 0.7, 0]]
      )
      probs_test = np.array(
          [[0.4, 0, 0.6], [0.1, 0.9, 0], [0.15, 0.85, 0], [0, 0, 1]]
      )
      labels_train = np.array([1, 0, 1, 2])
      labels_test = np.array([1, 2, 0, 2])
      loss_train = np.array([2, 0.25, 4, 3])
      loss_test = np.array([0.5, 3.5, 7, 4.5])
      entropy_train = np.array([0.4, 8, 0.6, 10])
      entropy_test = np.array([15, 10.5, 4.5, 0.3])
      sample_weight_train = np.array([1.0, 0.2, 0.5, 0.8])
      sample_weight_test = np.array([0.5, 1.0, 0.1, 0.8])
  
      self.input_data = AttackInputData(
          logits_train=logits_train,
          logits_test=logits_test,
          probs_train=probs_train,
          probs_test=probs_test,
          labels_train=labels_train,
          labels_test=labels_test,
          loss_train=loss_train,
          loss_test=loss_test,
          entropy_train=entropy_train,
          entropy_test=entropy_test,
          sample_weight_train=sample_weight_train,
          sample_weight_test=sample_weight_test,
      )
  
imports: import logging
  from absl.testing import absltest
  from absl.testing import parameterized
  from absl.testing.absltest import mock
  import numpy
  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 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
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.dataset_slicing import get_single_slice_specs
  from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.dataset_slicing import get_slice
label_desc: Use image node_id 1 to create a new GetSliceTest object from inherited base classes: parameterized with example: obj = GetSliceTest(methodname)