code: def main():
      image = ia.data.quokka(0.25)
  
      for N in [1, 2]:
          print("N=%d" % (N,))
  
          images_aug = []
          for M in [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20]:
              images_aug.extend(
                  iaa.RandAugment(n=N, m=M, random_state=1)(
                      images=[image] * 10
                  )
              )
          ia.imshow(ia.draw_grid(images_aug, cols=10))
  
      for M in [0, 1, 2, 4, 8, 10]:
          print("M=%d" % (M,))
          aug = iaa.RandAugment(m=M, random_state=1)
  
          images_aug = []
          for _ in np.arange(6):
              images_aug.extend(aug(images=[image] * 16))
  
          ia.imshow(ia.draw_grid(images_aug, cols=16, rows=6))
  
imports: from __future__ import print_function, division, absolute_import
  import numpy
  import imgaug
  import imgaug.augmenters
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types