code: def test_multiprocessing_support(mp_pool, augmentation_cls, params):
      """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] * 10),
      )
  
imports: import random
  from functools import partial
  import cv2
  import numpy
  import pytest
  import albumentations
  import albumentations.augmentations.functional
  import albumentations.augmentations.geometric.functional
  from albumentations.augmentations.blur.functional import gaussian_blur
  from .utils import get_dual_transforms, get_image_only_transforms, get_transforms
label_desc: Use image node_id 13 for calling a global function with example usage: test_multiprocessing_support(mp_pool, augmentation_cls, params) without return types