def METHOD_NAME(self):
    from ilastik.workflows.carving.carvingTools import parallel_filter
    name = "hessianOfGaussianEigenvalues"
    shape = 3 * (128,)
    x = numpy.random.rand(*shape).astype("float32")
    sigma = 1.6
    exp = fastfilters.hessianOfGaussianEigenvalues(x, sigma)
    for channel in range(3):
        res = parallel_filter(name, x, sigma, max_workers=4, return_channel=channel)
        assert numpy.allclose(res, exp[..., channel])