code: def test_should_apply_grey_patch_on_image():
      input_image = np.zeros((10, 20, 3))
  
      output = apply_grey_patch(input_image, 0, 0, 10)
  
      expected_output = np.concatenate(
          [127.5 * np.ones((10, 10, 3)), np.zeros((10, 10, 3))], axis=1
      )
  
      np.testing.assert_almost_equal(output, expected_output)
  
imports: import numpy
  import tensorflow
  from tf_explain.utils.image import apply_grey_patch, transform_to_normalized_grayscale
label_desc: Use image node_id 1 for calling a global function with example usage: test_should_apply_grey_patch_on_image() without return types