code: def _generate_augmented_images(
      cls, fname, image_imgaug, image_imgcor, severity, seed
  ):
      func_imgaug = getattr(iaa.imgcorruptlike, "apply_%s" % (fname,))
      func_imagecor = functools.partial(corrupt, corruption_name=fname)
  
      with iarandom.temporary_numpy_seed(seed):
          image_aug_exp = func_imagecor(image_imgcor, severity=severity)
          if not ia.is_np_array(image_aug_exp):
              image_aug_exp = np.asarray(image_aug_exp)
          if image_imgcor.ndim == 2:
              image_aug_exp = image_aug_exp[:, :, 0]
          elif image_imgcor.shape[-1] == 1:
              image_aug_exp = image_aug_exp[:, :, 0:1]
  
      image_aug = func_imgaug(
          image_imgaug, severity=severity, seed=seed
      )
  
      return image_aug, image_aug_exp
  
imports: from __future__ import print_function, division, absolute_import
  import sys
  import functools
  import numpy
  import imgaug
  from imgaug import augmenters
  from imgaug import random
  from imgaug import parameters
  from imgaug.testutils import runtest_pickleable_uint8_img
label_desc: Use image node_id 4 for calling the _CompareFuncWithImageCorruptions obj's underlying member method code with example usage: obj._generate_augmented_images(cls, fname, image_imgaug, image_imgcor, severity, seed) and returns: image_aug,  image_aug_exp