code: def _pad_rotate(self, img, angle):
      w, h = img.size
      img = F.pad(img, w // 2, 0, self.pad_mode)
      img = F.rotate(img, angle, False, self.expand, self.center)
      img = F.center_crop(img, (w, h))
      return img
  
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 4 for calling the RandomRotateWithMask obj's underlying member method code with example usage: obj._pad_rotate(img, angle) and returns: img