code: def setUp(self):
      super(AggregateLangTest, self).setUp()
      self.aggregator = utils.AggregateLang()
      self.sample_input = [
          {
              "lang": "en",
              "count": 1,
              "num_preserved_chars": 13,
              "num_dropped_chars": 2,
              "num_non_unk_wordpieces": 4,
              "preserved_ratio": [13 / 4],
              "dropped_ratio": [2 / 15],
              "wordpieces": collections.Counter(
                  ["the", "app", "##le", "sauce"]
              ),
          },
          {
              "lang": "en",
              "count": 1,
              "num_preserved_chars": 11,
              "num_dropped_chars": 0,
              "num_non_unk_wordpieces": 4,
              "preserved_ratio": [11 / 4],
              "dropped_ratio": [0],
              "wordpieces": collections.Counter(
                  ["the", "app", "st", "##ore"]
              ),
          },
      ]
  
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 1 for calling the AggregateLangTest obj's underlying member method code with example usage: obj.setUp() without return types