code: def testParseExampleMissingValueList(self):
      # Tests parsing examples of integers
      examples = []
      example = tf.train.Example()
      # pylint: disable=pointless-statement
      example.features.feature["str"]
      # pylint: enable=pointless-statement
      examples.append(example)
      example = tf.train.Example()
      example.features.feature["str"].bytes_list.value.append(b"test")
      examples.append(example)
  
      entries = {}
      for i, example in enumerate(examples):
          self.fs._ParseExample(
              example.features.feature, [], entries, i
          )
  
      self.assertEqual(1, len(entries))
      self.assertIn("str", entries)
      info = entries["str"]
      self.assertEqual(1, info["missing"])
      self.assertEqual(self.fs.fs_proto.STRING, info["type"])
      self.assertEqual(0, info["counts"][0])
      self.assertEqual(1, info["counts"][1])
  
imports: from feature_statistics_generator import FeatureStatisticsGenerator
  import numpy
  import tensorflow
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 3 for calling the FeatureStatisticsGeneratorTest obj's underlying member method code with example usage: obj.testParseExampleMissingValueList() without return types