code: def get_slice(
      data: AttackInputData,
      slice_spec: SingleSliceSpec,
      return_slice_indices: bool = False,
  ) -> AttackInputData:
      """Returns a single slice of data according to slice_spec."""
      if slice_spec.entire_dataset:
          data_slice = copy.copy(data)
      elif slice_spec.feature == SlicingFeature.CLASS:
          data_slice = _slice_by_class(
              data, slice_spec.value, return_slice_indices
          )
      elif slice_spec.feature == SlicingFeature.PERCENTILE:
          from_percentile, to_percentile = slice_spec.value
          data_slice = _slice_by_percentiles(
              data, from_percentile, to_percentile, return_slice_indices
          )
      elif slice_spec.feature == SlicingFeature.CORRECTLY_CLASSIFIED:
          data_slice = _slice_by_classification_correctness(
              data, slice_spec.value, return_slice_indices
          )
      elif slice_spec.feature == SlicingFeature.CUSTOM:
          (
              custom_train_indices,
              custom_test_indices,
              group_value,
              _,
          ) = slice_spec.value
  
          data_slice = _slice_by_custom_indices(
              data,
              custom_train_indices,
              custom_test_indices,
              group_value,
              return_slice_indices,
          )
      else:
          raise ValueError(
              'Unknown slice spec feature "%s"' % slice_spec.feature
          )
  
      data_slice.slice_spec = slice_spec
      return data_slice
  
file_path: privacy/tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/dataset_slicing.py
imports: from collections import abc
  import copy
  import logging
  from typing import List, Optional
  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
label_desc: Use image node_id 9 for calling a global function with example usage: get_slice(data, slice_spec, return_slice_indices) and returns: data_slice