class_docstr: Tests for get_single_slice_specs.
class_docstr_tok: ["Tests","for","get_single_slice_specs","."]
code: def test_slicing_by_multiple_features(self):
      input_data = SlicingSpec(
          entire_dataset=True,
          by_class=True,
          by_percentiles=True,
          by_classification_correctness=True,
      )
      n_classes = 10
      expected_slices = n_classes
      expected_slices += 1  # entire dataset slice
      expected_slices += 10  # percentiles slices
      expected_slices += 2  # correcness classification slices
      output = get_single_slice_specs(input_data, n_classes)
      self.assertLen(output, expected_slices)
  
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 6 for calling the SingleSliceSpecsTest obj's underlying member method code with example usage: obj.test_slicing_by_multiple_features() without return types