local tests pass

    * any of the paths searched by resolve_dir_path() (if search_paths is None).

    """

    def _validate(self, val):

        if isinstance(val, (list, tuple)):

            for v in val:

                super()._validate(v)

        else:

            super()._validate(val)

    def _resolve(self, paths):

        if isinstance(paths, (str, Path)):

            return super()._resolve(paths)

        elif isinstance(paths, (list, tuple)):

        if isinstance(paths, (list, tuple)):

            return [self._resolve(path) for path in paths]

        else:

            name = next(x for x in [self.name, self.label, "Foldernames parameter"] if x)

            raise ValueError(f"{name} must be a string or a list of strings")

            return super()._resolve(paths)

class load_data(param.ParameterizedFunction):

    # test wrong input

    with pytest.raises(ValueError) as e:

        TestFoldernames(f=open(tmpdir / "temp.txt", "w"))

    assert str(e.value) == "f must be a string or a list of strings"

    assert str(e.value) == "Foldernames parameter 'TestFoldernames.f' only take str or pathlib.Path types"

    # test single directory

    tf = TestFoldernames(f=str(tmpdir))

    assert tf.f == str(tmpdir)

def test_tilt_correction():

    # error_0: incorrect dimension

    with pytest.raises(ValueError):

        tilt_correction(arrays=np.arange(10), tilt=1.0)

        tilt_correction(arrays=np.arange(10))

    # make synthetic data

    size = 100

    rot_axis_ideal = get_tilted_rot_axis(0, 0)