add missing unit test

    assert diff < 0.01

def test_normalization_no_darks():

    """Test normalization routine without providing dark field images."""

    raw, _, flats, proj = prepare_synthetic_data()

    # Process with normalization, passing None for darks

    proj_imars3d = normalization(arrays=raw, flats=flats, darks=None)

    # Compare results

    diff = np.absolute(proj_imars3d - proj).sum() / np.prod(proj.shape)

    assert diff < 0.02  # Increased tolerance from 0.01 to 0.02 to account for the lack of dark field images

    # Additional check: Ensure the shape of the output matches the input

    assert proj_imars3d.shape == raw.shape

    # Check that values are within expected range (0 to 1 for normalized data)

    assert np.all(proj_imars3d >= 0) and np.all(proj_imars3d <= 1)

class TestMinusLog:

    @pytest.mark.parametrize("ncore", [1, 2])

    def test_execution(self, ncore: int) -> None: