class_docstr: Apply the augmentors with randomized order.
class_docstr_tok: ["Apply","the","augmentors","with","randomized","order","."]
code: def get_transform(self, img):
      # Note: this makes assumption that the augmentors do not make changes
      # to the image that will affect how the transforms will be instantiated
      # in the subsequent augmentors.
      idxs = self.rng.permutation(len(self.aug_lists))
      tfms = [
          self.aug_lists[k].get_transform(img)
          for k in range(len(self.aug_lists))
      ]
      return TransformList([tfms[k] for k in idxs])
  
imports: from .base import ImageAugmentor
  from .transform import NoOpTransform, TransformList, TransformFactory
label_desc: Use image node_id 3 for calling the RandomOrderAug obj's underlying member method code with example usage: obj.get_transform(img) and returns: TransformList