code: def test_laplace_mask(dtype):
      """Laplace on a masked array should be zero."""
      # Create a synthetic 2D image
      image = np.zeros((9, 9), dtype=dtype)
      image[3:-3, 3:-3] = 1
      # Define the mask
      result = filters.laplace(
          image, ksize=3, mask=np.zeros((9, 9), dtype=bool)
      )
      assert result.dtype == _supported_float_type(dtype)
      assert np.all(result == 0)
  
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 42 for calling a global function with example usage: test_laplace_mask(dtype) without return types