code: def _get_default_slice_stats(
      statistics: statistics_pb2.DatasetFeatureStatisticsList,
  ) -> statistics_pb2.DatasetFeatureStatisticsList:
      if len(statistics.datasets) == 1:
          return statistics
      view = stats_util.DatasetListView(statistics)
      return statistics_pb2.DatasetFeatureStatisticsList(
          datasets=[view.get_default_slice_or_die().proto()]
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import base64
  import collections
  import sys
  from typing import Dict, Iterable, List, Optional, Text, Tuple, Union
  import pandas
  from tensorflow_data_validation import types
  from tensorflow_data_validation.skew.protos import feature_skew_results_pb2
  from tensorflow_data_validation.utils import stats_util
  from tensorflow_metadata.proto.v0 import anomalies_pb2
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 8 for calling a global function with example usage: _get_default_slice_stats(statistics) and returns: statistics_pb2, statistics