code: def test_imgaug_image_only_augmentations(
      augmentation_cls, image, mask
  ):
      aug = augmentation_cls(p=1)
      data = aug(image=image, mask=mask)
      assert data["image"].dtype == np.uint8
      assert data["mask"].dtype == np.uint8
      assert np.array_equal(data["mask"], mask)
  
imports: import cv2
  import imgaug
  import numpy
  import pytest
  import albumentations
  from albumentations import Compose
  from albumentations.core.bbox_utils import convert_bboxes_from_albumentations, convert_bboxes_to_albumentations
  from albumentations.imgaug.transforms import IAAAdditiveGaussianNoise, IAAAffine, IAACropAndPad, IAAFliplr, IAAFlipud, IAAPerspective, IAAPiecewiseAffine, IAASharpen, IAASuperpixels
  from tests.utils import set_seed
label_desc: Use image node_id 1 for calling a global function with example usage: test_imgaug_image_only_augmentations(augmentation_cls, image, mask) without return types