class_docstr: Computes the statistics for features of image format.
docstr: Merges several accumulators to a single accumulator value.
  
  Args:
    accumulators: The accumulators to merge.
  
  Returns:
    The merged accumulator.
code: def merge_accumulators(
      self, accumulators: Iterable[_PartialImageStats]
  ) -> _PartialImageStats:
      """Merges several accumulators to a single accumulator value.
  
      Args:
        accumulators: The accumulators to merge.
  
      Returns:
        The merged accumulator.
      """
      it = iter(accumulators)
      result = next(it)
      for accumulator in it:
          result += accumulator
      return result
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import collections
  from typing import Iterable, List, Optional, Text
  import numpy
  import pandas
  import pyarrow
  import six
  import tensorflow
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import stats_generator
  from tensorflow_data_validation.utils import stats_util
  from tfx_bsl.arrow import array_util
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 4 for calling the ImageStatsGenerator obj's underlying member method code with example usage: obj.merge_accumulators(accumulators) and returns: result