code: def test_test_train_ratio(self, ntrain, ntest):
      test_input = get_test_input(ntrain, ntest)
      expected_test_train_ratio = ntest / ntrain
      calculated_test_train_ratio = (
          test_input.get_test_size() / test_input.get_train_size()
      )
  
      self.assertEqual(
          expected_test_train_ratio, calculated_test_train_ratio
      )
  
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 2 for calling the RunAttacksTest obj's underlying member method code with example usage: obj.test_test_train_ratio(ntrain, ntest) without return types