class_docstr: Tests for get_single_slice_specs.
class_docstr_tok: ["Tests","for","get_single_slice_specs","."]
code: def test_entire_dataset(self):
      input_data = SlicingSpec()
      expected = [self.ENTIRE_DATASET_SLICE]
      output = get_single_slice_specs(input_data)
      self.assertTrue(_are_lists_equal(output, expected))
  
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 2 for calling the SingleSliceSpecsTest obj's underlying member method code with example usage: obj.test_entire_dataset() without return types