code: def test__extract_image_targets_assertion(self, mocker):
      transform = transforms.SimpleCopyPaste()
  
      flat_sample = [
          # images, batch size = 2
          self.create_fake_image(mocker, Image),
          # labels, bboxes, masks
          mocker.MagicMock(spec=tv_tensors.Label),
          mocker.MagicMock(spec=BoundingBoxes),
          mocker.MagicMock(spec=Mask),
          # labels, bboxes, masks
          mocker.MagicMock(spec=BoundingBoxes),
          mocker.MagicMock(spec=Mask),
      ]
  
      with pytest.raises(
          TypeError,
          match="requires input sample to contain equal sized list of Images",
      ):
          transform._extract_image_targets(flat_sample)
  
imports: import collections.abc
  import re
  import PIL.Image
  import pytest
  import torch
  from common_utils import assert_equal, make_bounding_boxes, make_detection_masks, make_image, make_video
  from torchvision.prototype import transforms, tv_tensors
  from torchvision.transforms.v2._utils import check_type, is_pure_tensor
  from torchvision.transforms.v2.functional import clamp_bounding_boxes, InterpolationMode, pil_to_tensor, to_pil_image
  from torchvision.tv_tensors import BoundingBoxes, BoundingBoxFormat, Image, Mask, Video
  import importlib.machinery
  import importlib.util
  from pathlib import Path
label_desc: Use image node_id 2 for calling the TestSimpleCopyPaste obj's underlying member method code with example usage: obj.test__extract_image_targets_assertion(mocker) without return types