class_docstr: Wraps a DatasetFeatureStatistics and provides a custom comparator.
  
  This is to facilitate assertCountEqual().
code: def __init__(self, wrapped: statistics_pb2.DatasetFeatureStatistics):
      self._wrapped = wrapped
      self._normalized = statistics_pb2.DatasetFeatureStatistics()
      self._normalized.MergeFrom(wrapped)
      compare.NormalizeNumberFields(self._normalized)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import traceback
  from typing import Callable, Dict, Iterable, List, Optional, Tuple, Union
  from absl.testing import absltest
  import apache_beam
  from apache_beam.testing import util
  import pyarrow
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import stats_generator
  from tensorflow.python.util.protobuf import compare
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 1 to create a new _DatasetFeatureStatisticsComparatorWrapper object from inherited base classes: object with example: obj = _DatasetFeatureStatisticsComparatorWrapper(wrapped)