class_docstr: Sorts words by count.
code: def merge_accumulators(self, accumulators):
      merged = self.create_accumulator()
      for accumulator in accumulators:
          if accumulator:
              merged.extend(accumulator)
      return merged
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import apache_beam
  import tensorflow.compat.v1
  from tensorflow_text.python.ops.bert_tokenizer import BertTokenizer
  from tensorflow_text.python.ops.wordpiece_tokenizer import WordpieceTokenizer
  from tensorflow_text.tools.wordpiece_vocab import wordpiece_tokenizer_learner_lib
label_desc: Use image node_id 3 for calling the SortByCount obj's underlying member method code with example usage: obj.merge_accumulators(accumulators) and returns: merged