code: def test_featurization_transformer():
      fp_size = 2048
      tasks, all_dataset, transformers = load_delaney("Raw")
      train = all_dataset[0]
      transformer = FeaturizationTransformer(
          dataset=train,
          featurizer=dc.feat.CircularFingerprint(size=fp_size),
      )
      new_train = transformer.transform(train)
  
      assert new_train.y.shape == train.y.shape
      assert new_train.X.shape[-1] == fp_size
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_featurization_transformer() without return types