code: def CutoutAbs(img, v):  # [0, 60] => percentage: [0, 0.2]
      # assert 0 <= v <= 20
      if v < 0:
          return img
      w, h = img.size
      x0 = np.random.uniform(w)
      y0 = np.random.uniform(h)
  
      x0 = int(max(0, x0 - v / 2.0))
      y0 = int(max(0, y0 - v / 2.0))
      x1 = min(w, x0 + v)
      y1 = min(h, y0 + v)
  
      xy = (x0, y0, x1, y1)
      color = (125, 123, 114)
      # color = (0, 0, 0)
      img = img.copy()
      PIL.ImageDraw.Draw(img).rectangle(xy, color)
      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 20 for calling a global function with example usage: CutoutAbs(img, v) and returns: img, img