code: def test_laplace_zeros():
      """Laplace on a square image."""
      # Create a synthetic 2D image
      image = np.zeros((9, 9))
      image[3:-3, 3:-3] = 1
      result = filters.laplace(image)
      check_result = np.array(
          [
              [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
              [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
              [0.0, 0.0, 0.0, -1.0, -1.0, -1.0, 0.0, 0.0, 0.0],
              [0.0, 0.0, -1.0, 2.0, 1.0, 2.0, -1.0, 0.0, 0.0],
              [0.0, 0.0, -1.0, 1.0, 0.0, 1.0, -1.0, 0.0, 0.0],
              [0.0, 0.0, -1.0, 2.0, 1.0, 2.0, -1.0, 0.0, 0.0],
              [0.0, 0.0, 0.0, -1.0, -1.0, -1.0, 0.0, 0.0, 0.0],
              [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
              [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
          ]
      )
      assert_allclose(result, check_result)
  
imports: import numpy
  import pytest
  from numpy.testing import assert_, assert_allclose, assert_array_almost_equal
  from skimage import data, filters
  from skimage._shared.utils import _supported_float_type
  from skimage.filters.edges import _mask_filter_result
label_desc: Use image node_id 41 for calling a global function with example usage: test_laplace_zeros() without return types