code: def __call__(self, img):
      ops = random.choices(self.augment_list, k=self.n)
      for op, minval, maxval in ops:
          val = (float(self.m) / 30) * float(maxval - minval) + minval
          img = op(img, val)
  
      return img
  
imports: import random
  import numpy
  import PIL
  import PIL.ImageDraw
  import PIL.ImageEnhance
  import PIL.ImageOps
  import torch
  from PIL import Image
label_desc: Use image node_id 2 for calling the RandAugment obj's underlying member method code with example usage: obj.__call__(img) and returns: img