code: def test_imgaug_transforms_multiprocessing_support(
      augmentation_cls, params, mp_pool
  ):
      """Checks whether we can use augmentations in multiprocessing environments"""
      aug = augmentation_cls(p=1, **params)
      image = np.random.randint(
          low=0, high=256, size=(100, 100, 3), dtype=np.uint8
      )
  
      mp_pool.map(
          __test_multiprocessing_support_proc,
          map(lambda x: (x, aug), [image] * 100),
      )
  
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 13 for calling a global function with example usage: test_imgaug_transforms_multiprocessing_support(augmentation_cls, params, mp_pool) without return types