code: def test_fill_from_augmented_normalized_batch(self):
      batch = ia.UnnormalizedBatch(
          images=np.zeros((1, 2, 2, 3), dtype=np.uint8),
          heatmaps=[np.zeros((2, 2, 1), dtype=np.float32)],
          segmentation_maps=[np.zeros((2, 2, 1), dtype=np.int32)],
          keypoints=[[(0, 0)]],
          bounding_boxes=[[ia.BoundingBox(0, 0, 1, 1)]],
          polygons=[[ia.Polygon([(0, 0), (1, 0), (1, 1)])]],
          line_strings=[[ia.LineString([(0, 0), (1, 0)])]],
      )
      batch_norm = ia.Batch(
          images=np.zeros((1, 2, 2, 3), dtype=np.uint8),
          heatmaps=[
              ia.HeatmapsOnImage(
                  np.zeros((2, 2, 1), dtype=np.float32), shape=(2, 2, 3)
              )
          ],
          segmentation_maps=[
              ia.SegmentationMapsOnImage(
                  np.zeros((2, 2, 1), dtype=np.int32), shape=(2, 2, 3)
              )
          ],
          keypoints=[
              ia.KeypointsOnImage([ia.Keypoint(0, 0)], shape=(2, 2, 3))
          ],
          bounding_boxes=[
              ia.BoundingBoxesOnImage(
                  [ia.BoundingBox(0, 0, 1, 1)], shape=(2, 2, 3)
              )
          ],
          polygons=[
              ia.PolygonsOnImage(
                  [ia.Polygon([(0, 0), (1, 0), (1, 1)])],
                  shape=(2, 2, 3),
              )
          ],
          line_strings=[
              ia.LineStringsOnImage(
                  [ia.LineString([(0, 0), (1, 0)])], shape=(2, 2, 3)
              )
          ],
      )
      batch_norm.images_aug = batch_norm.images_unaug
      batch_norm.heatmaps_aug = batch_norm.heatmaps_unaug
      batch_norm.segmentation_maps_aug = (
          batch_norm.segmentation_maps_unaug
      )
      batch_norm.keypoints_aug = batch_norm.keypoints_unaug
      batch_norm.bounding_boxes_aug = batch_norm.bounding_boxes_unaug
      batch_norm.polygons_aug = batch_norm.polygons_unaug
      batch_norm.line_strings_aug = batch_norm.line_strings_unaug
  
      batch = batch.fill_from_augmented_normalized_batch(batch_norm)
  
      assert batch.images_aug.shape == (1, 2, 2, 3)
      assert ia.is_np_array(batch.heatmaps_aug[0])
      assert ia.is_np_array(batch.segmentation_maps_aug[0])
      assert batch.keypoints_aug[0][0] == (0, 0)
      assert batch.bounding_boxes_aug[0][0].x1 == 0
      assert batch.polygons_aug[0][0].exterior[0][0] == 0
      assert batch.line_strings_aug[0][0].coords[0][0] == 0
  
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 6 for calling the TestUnnormalizedBatch obj's underlying member method code with example usage: obj.test_fill_from_augmented_normalized_batch() without return types