code: def get_gradients(img):
      img /= np.max(img)
  
      horiz = sobel_h(img)
      vert = sobel_v(img)
  
      magnitude = np.sqrt(horiz**2 + vert**2) + 1e-5
      vert /= magnitude
      horiz /= magnitude
      return (vert, horiz)
  
imports: from __future__ import annotations
  from math import ceil
  from dask import compute, delayed
  from pandas import DataFrame
  import numpy
  import pandas
  import param
  from .utils import ngjit
label_desc: Use image node_id 13 for calling a global function with example usage: get_gradients(img) and returns: vert,  horiz