code: def test_slice_by_percentile(self):
      percentile_slice = SingleSliceSpec(
          SlicingFeature.PERCENTILE, (0, 50)
      )
      output = get_slice(self.input_data, percentile_slice)
  
      # Check logits.
      self.assertLen(output.logits_train, 3)
      self.assertLen(output.logits_test, 1)
      self.assertTrue((output.logits_test[0] == [10, 0, 11]).all())
  
      # Check labels.
      self.assertLen(output.labels_train, 3)
      self.assertLen(output.labels_test, 1)
      self.assertTrue((output.labels_train == [1, 0, 2]).all())
      self.assertTrue((output.labels_test == [1]).all())
  
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 4 for calling the GetSliceTest obj's underlying member method code with example usage: obj.test_slice_by_percentile() without return types