code: def testMultiEntryOneLang(self):
      expected_output = self.aggregator.create_accumulator()
      expected_output["en"] = {
          "count": 2,
          "num_preserved_chars": 24,
          "num_dropped_chars": 2,
          "num_non_unk_wordpieces": 8,
          "preserved_ratio": [13 / 4, 11 / 4],
          "dropped_ratio": [2 / 15, 0],
          "wordpieces": collections.Counter(
              {
                  "the": 2,
                  "app": 2,
                  "##le": 1,
                  "sauce": 1,
                  "st": 1,
                  "##ore": 1,
              }
          ),
      }
      # Test create_accumulator.
      accumulator = self.aggregator.create_accumulator()
      # Test add_input.
      for element in self.sample_input:
          accumulator = self.aggregator.add_input(accumulator, element)
      # Test merge_accumulators.
      merged = self.aggregator.merge_accumulators(
          [accumulator, self.aggregator.create_accumulator()]
      )
      # Test extract_output.
      output = self.aggregator.extract_output(merged)
      self.assertEqual(output, expected_output)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import logging
  import tempfile
  from absl.testing import absltest
  import apache_beam
  from apache_beam.testing.test_pipeline import TestPipeline
  from apache_beam.testing.util import assert_that
  from apache_beam.testing.util import equal_to
  import tensorflow.compat.v1
  from tensorflow_text.tools.wordpiece_vocab import utils
label_desc: Use image node_id 2 for calling the AggregateLangTest obj's underlying member method code with example usage: obj.testMultiEntryOneLang() without return types