code: def get_angle(self):
      if isinstance(self.degrees, collections.Sequence):
          index = int(random.random() * len(self.degrees))
          return self.degrees[index]
      else:
          return random.uniform(-self.degrees, self.degrees)
  
imports: import os
  import cv2
  import numpy
  import random
  import torchvision.transforms.functional
  from torchvision.transforms import RandomResizedCrop, ColorJitter, RandomAffine
  import PIL
  from PIL import Image
  import collections
  import settings
label_desc: Use image node_id 3 for calling the RandomRotateWithMask obj's underlying member method code with example usage: obj.get_angle() and returns: self, random