code: def test_compare_w_scipy():
      np.random.seed(2322)
      for i in range(8):
          labeled = np.zeros((128, 128))
          for p in range(16):
              y = np.random.randint(128)
              x = np.random.randint(128)
              labeled[y, x] = p + 1
          sp = scipy_gvoronoi(labeled)
          mh = gvoronoi(labeled)
          assert np.all(sp == mh)
  
imports: import numpy
  from mahotas.segmentation import gvoronoi
label_desc: Use image node_id 2 for calling a global function with example usage: test_compare_w_scipy() without return types