code: def test_compare_with_gray_dilation(self):
      # compare the result of maximum filter with dilate
  
      image = (np.random.rand(100, 100) * 256).astype(np.uint8)
      out = np.empty_like(image)
      mask = np.ones(image.shape, dtype=np.uint8)
  
      for r in range(3, 20, 2):
          elem = np.ones((r, r), dtype=np.uint8)
          rank.maximum(image=image, footprint=elem, out=out, mask=mask)
          cm = gray.dilation(image, elem)
          assert_equal(out, cm)
  
imports: import numpy
  import pytest
  from skimage import data, morphology, util
  from skimage._shared._warnings import expected_warnings
  from skimage._shared.testing import assert_allclose, assert_array_almost_equal, assert_equal, fetch, run_in_parallel
  from skimage.filters import rank
  from skimage.filters.rank import __all__
  from skimage.filters.rank import subtract_mean
  from skimage.morphology import ball, disk, gray
  from skimage.util import img_as_float, img_as_ubyte
label_desc: Use image node_id 6 for calling the TestRank obj's underlying member method code with example usage: obj.test_compare_with_gray_dilation() without return types