docstr: Tests generator with avg word length heuristic.
docstr_tok: ["Tests","generator","with","avg","word","length","heuristic","."]
code: def test_nl_generator_avg_word_heuristic_non_match(self):
      """Tests generator with avg word length heuristic."""
      generator = nlsg.NLDomainInferringStatsGenerator(
          values_threshold=2
      )
      input_batches = [
          pa.array(
              [["abc" * 10, "xxxxxxxxx"], ["xosuhddsofuhg123fdgosh"]]
          ),
          pa.array([["Only one valid text?"]]),
      ]
  
      self.assertCombinerOutputEqual(
          input_batches,
          generator,
          statistics_pb2.FeatureNameStatistics(),
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import absltest
  import pyarrow
  from tensorflow_data_validation.statistics.generators import natural_language_domain_inferring_stats_generator
  from tensorflow_data_validation.utils import test_util
  from typing import Text
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 13 for calling the NaturalLanguageStatsGeneratorTest obj's underlying member method code with example usage: obj.test_nl_generator_avg_word_heuristic_non_match() without return types