code: def __call__(self, *imgs):
      angle = self.get_angle()
      if angle == int(angle) and angle % 90 == 0:
          if angle == 0:
              return imgs
          else:
              # print(imgs)
              return map(
                  lambda x: F.rotate(x, angle, False, False, None), imgs
              )
      else:
          return map(lambda x: self._pad_rotate(x, angle), imgs)
  
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 2 for calling the RandomRotateWithMask obj's underlying member method code with example usage: obj.__call__() and returns: map, imgs, map