class_docstr: A stats generator meant to be used as a part of a composite generator.
  
  A constituent stats generator facilitates sharing logic between several stats
  generators. It is functionally identical to a beam.CombineFn, but it expects
  add_input to be called with instances of InputBatch.
docstr: Merges several accumulators to a single accumulator value.
  
  Args:
    accumulators: The accumulators to merge.
  
  Returns:
    The merged accumulator.
docstr_tok: ["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[CONSTITUENT_ACCTYPE]
  ) -> CONSTITUENT_ACCTYPE:
      """Merges several accumulators to a single accumulator value.
  
      Args:
        accumulators: The accumulators to merge.
  
      Returns:
        The merged accumulator.
      """
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  from typing import Any, Dict, Generic, Hashable, Iterable, List, Optional, Text, TypeVar
  import apache_beam
  import pyarrow
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import input_batch
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 6 for calling the ConstituentStatsGenerator obj's underlying member method code with example usage: obj.merge_accumulators(accumulators) without return types