code: def load_stats_binary(
      input_path: Text,
  ) -> statistics_pb2.DatasetFeatureStatisticsList:
      """Loads a serialized DatasetFeatureStatisticsList proto from a file.
  
      Args:
        input_path: File path from which to load the DatasetFeatureStatisticsList
          proto.
  
      Returns:
        A DatasetFeatureStatisticsList proto.
      """
      stats_proto = statistics_pb2.DatasetFeatureStatisticsList()
      stats_proto.ParseFromString(
          io_util.read_file_to_string(input_path, binary_mode=True)
      )
      return stats_proto
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  from typing import Dict, Iterable, Optional, Sequence, Text, Tuple, Union
  import numpy
  import pyarrow
  import tensorflow
  from tensorflow_data_validation import constants
  from tensorflow_data_validation import types
  from tensorflow_data_validation.arrow import arrow_util
  from tensorflow_data_validation.utils import artifacts_io_impl
  from tensorflow_data_validation.utils import io_util
  from tfx_bsl import statistics
  from tfx_bsl.arrow import array_util
  from google.protobuf import text_format
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 8 for calling a global function with example usage: load_stats_binary(input_path) and returns: stats_proto