code: def test_to_normalized_batch__only_images(self):
      batch = ia.UnnormalizedBatch(
          images=np.zeros((1, 2, 2, 3), dtype=np.uint8)
      )
  
      batch_norm = batch.to_normalized_batch()
  
      assert isinstance(batch_norm, ia.Batch)
      assert ia.is_np_array(batch_norm.images_unaug)
      assert batch_norm.images_unaug.shape == (1, 2, 2, 3)
      assert batch_norm.get_column_names() == ["images"]
  
imports: from __future__ import print_function, division, absolute_import
  import warnings
  import sys
  import numpy
  import imgaug
  import imgaug.augmenters
  from imgaug.testutils import reseed
  from imgaug.augmentables.batches import _BatchInAugmentation
label_desc: Use image node_id 4 for calling the TestUnnormalizedBatch obj's underlying member method code with example usage: obj.test_to_normalized_batch__only_images() without return types