def METHOD_NAME(self):
    box, positions = freud.data.UnitCell.fcc().generate_system(4, scale=2)
    sph_l = 6
    q_threshold = 0.7
    solid_threshold = 4
    normalize_q = False
    comp = freud.order.SolidLiquid(
        sph_l,
        q_threshold=q_threshold,
        solid_threshold=solid_threshold,
        normalize_q=normalize_q,
    )
    assert comp.l == sph_l
    npt.assert_allclose(comp.q_threshold, q_threshold)
    npt.assert_allclose(comp.solid_threshold, solid_threshold)
    assert comp.normalize_q == normalize_q
    with pytest.raises(AttributeError):
        comp.largest_cluster_size
    with pytest.raises(AttributeError):
        comp.cluster_sizes
    with pytest.raises(AttributeError):
        comp.cluster_idx
    with pytest.raises(AttributeError):
        comp.num_connections
    with pytest.raises(AttributeError):
        comp.ql_ij
    with pytest.raises(AttributeError):
        comp.plot()
    comp.compute((box, positions), neighbors=dict(r_max=2.0))
    comp.largest_cluster_size
    comp.cluster_sizes
    comp.cluster_idx
    comp.num_connections
    comp.ql_ij
    comp._repr_png_()