code: def test_count_missing_generator_single_batch(self):
      batch = input_batch.InputBatch(
          pa.RecordBatch.from_arrays(
              [pa.array([[1], None, []])], ["feature"]
          )
      )
      path = types.FeaturePath(["feature"])
      generator = count_missing_generator.CountMissingGenerator(path)
      accumulator = generator.create_accumulator()
      accumulator = generator.add_input(accumulator, batch)
      self.assertEqual(1, generator.extract_output(accumulator))
  
file_path: data-validation/tensorflow_data_validation/statistics/generators/constituents/count_missing_generator_test.py
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 import types
  from tensorflow_data_validation.statistics.generators import input_batch
  from tensorflow_data_validation.statistics.generators.constituents import count_missing_generator
label_desc: Use image node_id 3 for calling the CountMissingGeneratorTest obj's underlying member method code with example usage: obj.test_count_missing_generator_single_batch() without return types