code: def test_round_trip_string_list_feature_list(self):
      example = tf.train.SequenceExample()
      msu.add_string_list_feature_list([b"test0", b"test1"], example)
      msu.add_string_list_feature_list([b"test1", b"test2"], example)
      self.assertSequenceEqual(
          [b"test0", b"test1"],
          msu.get_string_list_feature_list_at(0, example),
      )
      self.assertSequenceEqual(
          [b"test1", b"test2"],
          msu.get_string_list_feature_list_at(1, example),
      )
      self.assertTrue(msu.has_string_list_feature_list(example))
      self.assertEqual(
          2, msu.get_string_list_feature_list_size(example)
      )
      msu.clear_string_list_feature_list(example)
      self.assertFalse(msu.has_string_list_feature_list(example))
      self.assertEqual(
          0, msu.get_string_list_feature_list_size(example)
      )
      self.assertEqual(
          "string_list_feature_list",
          msu.get_string_list_feature_list_key(),
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow.compat.v1
  from mediapipe.util.sequence import media_sequence_util
label_desc: Use image node_id 19 for calling the MediaSequenceTest obj's underlying member method code with example usage: obj.test_round_trip_string_list_feature_list() without return types