code: def test_round_trip_float_list_feature_list(self):
      example = tf.train.SequenceExample()
      msu.add_float_list_feature_list([0.47, 0.49], example)
      msu.add_float_list_feature_list([0.49, 0.50], example)
      self.assertSequenceAlmostEqual(
          [0.47, 0.49], msu.get_float_list_feature_list_at(0, example)
      )
      self.assertSequenceAlmostEqual(
          [0.49, 0.50], msu.get_float_list_feature_list_at(1, example)
      )
      self.assertTrue(msu.has_float_list_feature_list(example))
      self.assertEqual(2, msu.get_float_list_feature_list_size(example))
      msu.clear_float_list_feature_list(example)
      self.assertFalse(msu.has_float_list_feature_list(example))
      self.assertEqual(0, msu.get_float_list_feature_list_size(example))
      self.assertEqual(
          "float_list_feature_list",
          msu.get_float_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 20 for calling the MediaSequenceTest obj's underlying member method code with example usage: obj.test_round_trip_float_list_feature_list() without return types