code: def make_noise_at_scale(shape, scale):
      h, w = shape
      h0, w0 = int(h / scale + 1), int(w / scale + 1)
      data = np.random.rand(h0, w0)
      result = cv.resize(
          data, None, fx=scale, fy=scale, interpolation=cv.INTER_CUBIC
      )
      return result[:h, :w]
  
imports: import random
  from random import randint
  import numpy
  import cv2
label_desc: Use image node_id 10 for calling a global function with example usage: make_noise_at_scale(shape, scale) and returns: result