code: def test_base_attacker_train_and_predict(self):
      base_attacker = models.TrainedAttacker()
      self.assertRaises(
          NotImplementedError, base_attacker.train_model, [], []
      )
      self.assertRaises(AssertionError, base_attacker.predict, [])
  
file_path: privacy/tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/models_test.py
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  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
label_desc: Use image node_id 1 for calling the TrainedAttackerTest obj's underlying member method code with example usage: obj.test_base_attacker_train_and_predict() without return types