def METHOD_NAME():
    # generate fake data with a number of non-cubical grids
    ds = fake_random_ds(64, nprocs=51)
    assert all(ds.periodicity)
    for i, d in enumerate(("index", k) for k in "xyz"):
        for coord in np.arange(0.0, 1.0, 0.1):
            data = ds.slice(i, coord)
            data.get_data()
            v = data[d].to_ndarray()
            assert_equal(data.shape[0], 64**2)
            assert_equal(data[("index", "ones")].shape[0], 64**2)
            assert_array_less(np.abs(v - coord), 1.0 / 128.0 + 1e-6)