code: def test_run_attacks_insufficient_examples(self):
      result = mia.run_attacks(
          get_test_input(1, 100),
          SlicingSpec(),
          (
              AttackType.THRESHOLD_ATTACK,
              AttackType.LOGISTIC_REGRESSION,
          ),
      )
      self.assertLen(result.single_attack_results, 1)
      self.assertEqual(
          result.single_attack_results[0].attack_type.value,
          AttackType.THRESHOLD_ATTACK.value,
      )
  
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 12 for calling the RunAttacksTestOnMultilabelData obj's underlying member method code with example usage: obj.test_run_attacks_insufficient_examples() without return types