import pytest from godot import Basis, Quat, Vector3 def test_base(): v = Quat() assert type(v) == Quat @pytest.mark.parametrize( "field,args", [ ["from_axis_angle", (Vector3.ONE, 1.1)], ["from_euler", (Vector3.ONE,)], ["from_basis", (Basis(),)], ], ) def test_inits(field, args): build = getattr(Quat, field) v = build(*args) assert isinstance(v, Quat) @pytest.mark.parametrize( "field,args", [ ["from_axis_angle", (None, 1.1)], ["from_euler", (None,)], ["from_basis", (None,)], ["from_axis_angle", (Vector3.ONE, None)], ["from_axis_angle", (Vector3.ONE, "dummy")], ["from_axis_angle", ("dummy", 1.1)], ["from_euler", ("dummy",)], ["from_basis", ("dummy",)], ], ) def test_bad_inits(field, args): build = getattr(Quat, field) with pytest.raises(TypeError): v = build(*args) def test_repr(): v = Quat(1.0, 2.0, 3.0, 4.0) assert repr(v) == "" @pytest.mark.parametrize( "args", [ [(), 0, 0, 0, 0], [(0.1, 0.2, 0.3, 0.4), 0.1, 0.2, 0.3, 0.4], [(1, 2, 3), 1, 2, 3, 0], [(1,), 1, 0, 0, 0], ], ) def test_instantiate(args): # Can build it with int or float or nothing msg_tmpl = "%s vs (expected) %s (args=%s)" args, expected_x, expected_y, expected_z, expected_w = args v = Quat(*args) assert pytest.approx(v.x) == expected_x, msg_tmpl % (v.x, expected_x, args) assert pytest.approx(v.y) == expected_y, msg_tmpl % (v.y, expected_y, args) assert pytest.approx(v.z) == expected_z, msg_tmpl % (v.z, expected_z, args) assert pytest.approx(v.w) == expected_w, msg_tmpl % (v.w, expected_w, args) def test_bad_instantiate(): with pytest.raises(TypeError): Quat("a", 2, 3, 4) with pytest.raises(TypeError): Quat(1, "b", 2, 4) with pytest.raises(TypeError): Quat(1, 2, "c", 4) with pytest.raises(TypeError): Quat(1, 2, 3, "d") with pytest.raises(TypeError): Quat(None, 2, 3, 4) with pytest.raises(TypeError): Quat(1, None, 2, 4) with pytest.raises(TypeError): Quat(1, 2, None, 4) with pytest.raises(TypeError): Quat(1, 2, 3, None) @pytest.mark.parametrize( "field,ret_type,params", [ ["length", float, ()], ["length_squared", float, ()], ["normalized", Quat, ()], ["is_normalized", bool, ()], ["inverse", Quat, ()], ["dot", float, (Quat(),)], ["xform", Vector3, (Vector3(),)], ["slerp", Quat, (Quat(), 1.0)], ["slerpni", Quat, (Quat(), 1.0)], ["cubic_slerp", Quat, (Quat(), Quat(), Quat(), 1.0)], ["set_axis_angle", type(None), (Vector3(1, 2, 3), 3.3)], ], ids=lambda x: x[0], ) def test_methods(field, ret_type, params): v = Quat() # Don't test methods' validity but bindings one assert hasattr(v, field) method = getattr(v, field) assert callable(method) ret = method(*params) assert type(ret) == ret_type @pytest.mark.parametrize( "field,ret_type", [("x", float), ("y", float), ("z", float), ("w", float)], ids=lambda x: x[0] ) def test_properties(field, ret_type): v = Quat() assert hasattr(v, field) field_val = getattr(v, field) assert type(field_val) == ret_type for val in (0, 10, 10.0, 42.5): setattr(v, field, val) field_val = getattr(v, field) assert pytest.approx(field_val) == val @pytest.mark.parametrize( "field,bad_value", [ ("x", "NaN"), ("y", "NaN"), ("z", "NaN"), ("w", "NaN"), ("x", None), ("y", None), ("z", None), ("w", None), ], ids=lambda x: x[0], ) def test_bad_properties(field, bad_value): v = Quat() with pytest.raises(TypeError): setattr(v, field, bad_value) def test_unary(): v = Quat(1, 2, 3, 4) v2 = -v assert v2.x == -1 assert v2.y == -2 assert v2.z == -3 assert v2.w == -4 v3 = +v assert v3.x == 1 assert v3.y == 2 assert v3.z == 3 assert v3.w == 4 v = Quat(1.5, 2.5, 3.5, 4.5) v2 = -v assert v2.x == -1.5 assert v2.y == -2.5 assert v2.z == -3.5 assert v2.w == -4.5 v3 = +v assert v3.x == 1.5 assert v3.y == 2.5 assert v2.z == -3.5 assert v2.w == -4.5 @pytest.mark.parametrize( "param,result", [ (Quat(0, 0, 0, 0), Quat(2, 3, 4, 5)), (Quat(4, 3, 2, 1), Quat(6, 6, 6, 6)), (Quat(-4, -3, -2, -1), Quat(-2, -0, 2, 4)), ], ids=lambda x: x[0], ) def test_add(param, result): calc = Quat(2, 3, 4, 5) + param assert calc == result @pytest.mark.parametrize( "param,result", [ (Quat(0, 0, 0, 0), Quat(2, 3, 4, 5)), (Quat(5, 4, 3, 2), Quat(-3, -1, 1, 3)), (Quat(-1, -1, -1, -1), Quat(3, 4, 5, 6)), ], ids=lambda x: x[0], ) def test_sub(param, result): calc = Quat(2, 3, 4, 5) - param assert calc == result @pytest.mark.parametrize("arg", [None, 1, "dummy"], ids=lambda x: x[0]) def test_bad_add(arg): with pytest.raises(TypeError): Quat(2, 3, 4, 5) + arg @pytest.mark.parametrize("arg", [None, 1, "dummy"], ids=lambda x: x[0]) def test_bad_sub(arg): with pytest.raises(TypeError): Quat(2, 3, 4, 5) - arg @pytest.mark.parametrize("arg", [None, "dummy", Quat(1, 1, 1, 1)], ids=lambda x: x[0]) def test_bad_div(arg): with pytest.raises(TypeError): Quat(2, 3, 4, 5) / arg def test_zero_div(): with pytest.raises(ZeroDivisionError): Quat(2, 3, 4, 5) / 0 @pytest.mark.parametrize("arg", [None, "dummy"], ids=lambda x: x[0]) def test_bad_mul(arg): with pytest.raises(TypeError): Quat(2, 3, 4, 5) * arg @pytest.mark.parametrize( "param,result", [(0, Quat(0, 0, 0, 0)), (1, Quat(2, 3, 4, 5)), (2.5, Quat(5, 7.5, 10, 12.5))], ids=lambda x: x[0], ) def test_mul(param, result): calc = Quat(2, 3, 4, 5) * param assert calc == result @pytest.mark.parametrize( "param,result", [(1, Quat(2, 3, 4, 5)), (0.5, Quat(4, 6, 8, 10)), (2, Quat(1, 1.5, 2, 2.5))], ids=lambda x: x[0], ) def test_div(param, result): calc = Quat(2, 3, 4, 5) / param assert calc == result def test_equal(): arr = Quat(0.1, 1, 2, 3) other = Quat(0.1, 1, 2, 3) assert arr == other bad = Quat(0.1, 1, 2, 4) assert not arr == bad # Force use of __eq__ @pytest.mark.parametrize("arg", [None, 0, "foo", Quat(0.1, 1, 2, 4)]) def test_bad_equal(arg): arr = Quat(0.1, 1, 2, 3) assert arr != arg