code: def test_deepcopy_every_argument_provided(self):
      images = np.zeros((1, 1, 1, 3), dtype=np.uint8)
      heatmaps = [
          ia.HeatmapsOnImage(
              np.zeros((1, 1, 1), dtype=np.float32), shape=(4, 4, 3)
          )
      ]
      segmentation_maps = [
          ia.SegmentationMapsOnImage(
              np.zeros((1, 1), dtype=np.int32), shape=(5, 5, 3)
          )
      ]
      keypoints = [
          ia.KeypointsOnImage([ia.Keypoint(x=1, y=2)], shape=(6, 6, 3))
      ]
      bounding_boxes = [
          ia.BoundingBoxesOnImage(
              [ia.BoundingBox(x1=1, y1=2, x2=3, y2=4)], shape=(7, 7, 3)
          )
      ]
      polygons = [
          ia.PolygonsOnImage(
              [ia.Polygon([(0, 0), (10, 0), (10, 10)])],
              shape=(100, 100, 3),
          )
      ]
      line_strings = [
          ia.LineStringsOnImage(
              [ia.LineString([(1, 1), (11, 1), (11, 11)])],
              shape=(101, 101, 3),
          )
      ]
      data = {"test": 123, "foo": "bar", "test2": [1, 2, 3]}
  
      batch = ia.Batch(
          images=images,
          heatmaps=heatmaps,
          segmentation_maps=segmentation_maps,
          keypoints=keypoints,
          bounding_boxes=bounding_boxes,
          polygons=polygons,
          line_strings=line_strings,
          data=data,
      )
      observed = batch.deepcopy()
  
      for attr_name in observed.__dict__.keys():
          if "_unaug" not in attr_name and attr_name != "data":
              assert getattr(observed, attr_name) is None
  
      # must not be identical
      assert observed.images_unaug is not images
      assert observed.heatmaps_unaug is not heatmaps
      assert observed.segmentation_maps_unaug is not segmentation_maps
      assert observed.keypoints_unaug is not keypoints
      assert observed.bounding_boxes_unaug is not bounding_boxes
      assert observed.polygons_unaug is not polygons
      assert observed.line_strings_unaug is not line_strings
      assert observed.data is not data
  
      # verify that lists were not shallow-copied
      assert observed.heatmaps_unaug[0] is not heatmaps[0]
      assert (
          observed.segmentation_maps_unaug[0]
          is not segmentation_maps[0]
      )
      assert observed.keypoints_unaug[0] is not keypoints[0]
      assert observed.bounding_boxes_unaug[0] is not bounding_boxes[0]
      assert observed.polygons_unaug[0] is not polygons[0]
      assert observed.line_strings_unaug[0] is not line_strings[0]
      assert observed.data["test2"] is not data["test2"]
  
      # but must be equal
      assert ia.is_np_array(observed.images_unaug)
      assert observed.images_unaug.shape == (1, 1, 1, 3)
      assert isinstance(observed.heatmaps_unaug[0], ia.HeatmapsOnImage)
      assert isinstance(
          observed.segmentation_maps_unaug[0],
          ia.SegmentationMapsOnImage,
      )
      assert isinstance(
          observed.keypoints_unaug[0], ia.KeypointsOnImage
      )
      assert isinstance(
          observed.bounding_boxes_unaug[0], ia.BoundingBoxesOnImage
      )
      assert isinstance(observed.polygons_unaug[0], ia.PolygonsOnImage)
      assert isinstance(
          observed.line_strings_unaug[0], ia.LineStringsOnImage
      )
      assert isinstance(observed.data, dict)
  
      assert observed.heatmaps_unaug[0].shape == (4, 4, 3)
      assert observed.segmentation_maps_unaug[0].shape == (5, 5, 3)
      assert observed.keypoints_unaug[0].shape == (6, 6, 3)
      assert observed.bounding_boxes_unaug[0].shape == (7, 7, 3)
      assert observed.polygons_unaug[0].shape == (100, 100, 3)
      assert observed.line_strings_unaug[0].shape == (101, 101, 3)
  
      assert observed.heatmaps_unaug[0].arr_0to1.shape == (1, 1, 1)
      assert observed.segmentation_maps_unaug[0].arr.shape == (1, 1, 1)
      assert observed.keypoints_unaug[0].keypoints[0].x == 1
      assert observed.keypoints_unaug[0].keypoints[0].y == 2
      assert observed.bounding_boxes_unaug[0].bounding_boxes[0].x1 == 1
      assert observed.bounding_boxes_unaug[0].bounding_boxes[0].y1 == 2
      assert observed.bounding_boxes_unaug[0].bounding_boxes[0].x2 == 3
      assert observed.bounding_boxes_unaug[0].bounding_boxes[0].y2 == 4
      assert observed.polygons_unaug[0].polygons[0].exterior[0, 0] == 0
      assert observed.polygons_unaug[0].polygons[0].exterior[0, 1] == 0
      assert observed.polygons_unaug[0].polygons[0].exterior[1, 0] == 10
      assert observed.polygons_unaug[0].polygons[0].exterior[1, 1] == 0
      assert observed.polygons_unaug[0].polygons[0].exterior[2, 0] == 10
      assert observed.polygons_unaug[0].polygons[0].exterior[2, 1] == 10
      assert (
          observed.line_strings_unaug[0].line_strings[0].coords[0, 0]
          == 1
      )
      assert (
          observed.line_strings_unaug[0].line_strings[0].coords[0, 1]
          == 1
      )
      assert (
          observed.line_strings_unaug[0].line_strings[0].coords[1, 0]
          == 11
      )
      assert (
          observed.line_strings_unaug[0].line_strings[0].coords[1, 1]
          == 1
      )
      assert (
          observed.line_strings_unaug[0].line_strings[0].coords[2, 0]
          == 11
      )
      assert (
          observed.line_strings_unaug[0].line_strings[0].coords[2, 1]
          == 11
      )
  
      assert observed.data["test"] == 123
      assert observed.data["foo"] == "bar"
      assert observed.data["test2"] == [1, 2, 3]
  
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 13 for calling the TestBatch obj's underlying member method code with example usage: obj.test_deepcopy_every_argument_provided() without return types