mirror of
https://github.com/Relintai/gdnative_python.git
synced 2024-11-14 10:27:22 +01:00
263 lines
6.5 KiB
Python
263 lines
6.5 KiB
Python
import pytest
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from godot import Basis, Quat, Vector3
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def test_base():
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v = Quat()
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assert type(v) == Quat
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@pytest.mark.parametrize(
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"field,args",
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[
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["from_axis_angle", (Vector3.ONE, 1.1)],
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["from_euler", (Vector3.ONE,)],
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["from_basis", (Basis(),)],
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],
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)
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def test_inits(field, args):
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build = getattr(Quat, field)
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v = build(*args)
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assert isinstance(v, Quat)
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@pytest.mark.parametrize(
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"field,args",
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[
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["from_axis_angle", (None, 1.1)],
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["from_euler", (None,)],
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["from_basis", (None,)],
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["from_axis_angle", (Vector3.ONE, None)],
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["from_axis_angle", (Vector3.ONE, "dummy")],
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["from_axis_angle", ("dummy", 1.1)],
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["from_euler", ("dummy",)],
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["from_basis", ("dummy",)],
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],
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)
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def test_bad_inits(field, args):
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build = getattr(Quat, field)
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with pytest.raises(TypeError):
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v = build(*args)
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def test_repr():
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v = Quat(1.0, 2.0, 3.0, 4.0)
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assert repr(v) == "<Quat(x=1.0, y=2.0, z=3.0, w=4.0)>"
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@pytest.mark.parametrize(
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"args",
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[
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[(), 0, 0, 0, 0],
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[(0.1, 0.2, 0.3, 0.4), 0.1, 0.2, 0.3, 0.4],
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[(1, 2, 3), 1, 2, 3, 0],
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[(1,), 1, 0, 0, 0],
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],
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)
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def test_instantiate(args):
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# Can build it with int or float or nothing
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msg_tmpl = "%s vs (expected) %s (args=%s)"
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args, expected_x, expected_y, expected_z, expected_w = args
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v = Quat(*args)
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assert pytest.approx(v.x) == expected_x, msg_tmpl % (v.x, expected_x, args)
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assert pytest.approx(v.y) == expected_y, msg_tmpl % (v.y, expected_y, args)
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assert pytest.approx(v.z) == expected_z, msg_tmpl % (v.z, expected_z, args)
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assert pytest.approx(v.w) == expected_w, msg_tmpl % (v.w, expected_w, args)
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def test_bad_instantiate():
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with pytest.raises(TypeError):
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Quat("a", 2, 3, 4)
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with pytest.raises(TypeError):
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Quat(1, "b", 2, 4)
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with pytest.raises(TypeError):
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Quat(1, 2, "c", 4)
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with pytest.raises(TypeError):
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Quat(1, 2, 3, "d")
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with pytest.raises(TypeError):
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Quat(None, 2, 3, 4)
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with pytest.raises(TypeError):
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Quat(1, None, 2, 4)
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with pytest.raises(TypeError):
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Quat(1, 2, None, 4)
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with pytest.raises(TypeError):
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Quat(1, 2, 3, None)
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@pytest.mark.parametrize(
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"field,ret_type,params",
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[
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["length", float, ()],
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["length_squared", float, ()],
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["normalized", Quat, ()],
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["is_normalized", bool, ()],
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["inverse", Quat, ()],
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["dot", float, (Quat(),)],
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["xform", Vector3, (Vector3(),)],
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["slerp", Quat, (Quat(), 1.0)],
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["slerpni", Quat, (Quat(), 1.0)],
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["cubic_slerp", Quat, (Quat(), Quat(), Quat(), 1.0)],
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["set_axis_angle", type(None), (Vector3(1, 2, 3), 3.3)],
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],
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ids=lambda x: x[0],
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)
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def test_methods(field, ret_type, params):
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v = Quat()
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# Don't test methods' validity but bindings one
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assert hasattr(v, field)
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method = getattr(v, field)
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assert callable(method)
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ret = method(*params)
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assert type(ret) == ret_type
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@pytest.mark.parametrize(
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"field,ret_type", [("x", float), ("y", float), ("z", float), ("w", float)], ids=lambda x: x[0]
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)
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def test_properties(field, ret_type):
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v = Quat()
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assert hasattr(v, field)
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field_val = getattr(v, field)
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assert type(field_val) == ret_type
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for val in (0, 10, 10.0, 42.5):
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setattr(v, field, val)
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field_val = getattr(v, field)
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assert pytest.approx(field_val) == val
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@pytest.mark.parametrize(
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"field,bad_value",
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[
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("x", "NaN"),
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("y", "NaN"),
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("z", "NaN"),
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("w", "NaN"),
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("x", None),
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("y", None),
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("z", None),
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("w", None),
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],
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ids=lambda x: x[0],
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)
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def test_bad_properties(field, bad_value):
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v = Quat()
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with pytest.raises(TypeError):
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setattr(v, field, bad_value)
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def test_unary():
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v = Quat(1, 2, 3, 4)
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v2 = -v
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assert v2.x == -1
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assert v2.y == -2
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assert v2.z == -3
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assert v2.w == -4
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v3 = +v
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assert v3.x == 1
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assert v3.y == 2
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assert v3.z == 3
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assert v3.w == 4
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v = Quat(1.5, 2.5, 3.5, 4.5)
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v2 = -v
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assert v2.x == -1.5
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assert v2.y == -2.5
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assert v2.z == -3.5
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assert v2.w == -4.5
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v3 = +v
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assert v3.x == 1.5
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assert v3.y == 2.5
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assert v2.z == -3.5
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assert v2.w == -4.5
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@pytest.mark.parametrize(
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"param,result",
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[
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(Quat(0, 0, 0, 0), Quat(2, 3, 4, 5)),
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(Quat(4, 3, 2, 1), Quat(6, 6, 6, 6)),
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(Quat(-4, -3, -2, -1), Quat(-2, -0, 2, 4)),
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],
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ids=lambda x: x[0],
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)
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def test_add(param, result):
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calc = Quat(2, 3, 4, 5) + param
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assert calc == result
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@pytest.mark.parametrize(
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"param,result",
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[
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(Quat(0, 0, 0, 0), Quat(2, 3, 4, 5)),
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(Quat(5, 4, 3, 2), Quat(-3, -1, 1, 3)),
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(Quat(-1, -1, -1, -1), Quat(3, 4, 5, 6)),
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],
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ids=lambda x: x[0],
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)
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def test_sub(param, result):
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calc = Quat(2, 3, 4, 5) - param
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assert calc == result
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@pytest.mark.parametrize("arg", [None, 1, "dummy"], ids=lambda x: x[0])
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def test_bad_add(arg):
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with pytest.raises(TypeError):
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Quat(2, 3, 4, 5) + arg
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@pytest.mark.parametrize("arg", [None, 1, "dummy"], ids=lambda x: x[0])
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def test_bad_sub(arg):
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with pytest.raises(TypeError):
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Quat(2, 3, 4, 5) - arg
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@pytest.mark.parametrize("arg", [None, "dummy", Quat(1, 1, 1, 1)], ids=lambda x: x[0])
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def test_bad_div(arg):
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with pytest.raises(TypeError):
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Quat(2, 3, 4, 5) / arg
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def test_zero_div():
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with pytest.raises(ZeroDivisionError):
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Quat(2, 3, 4, 5) / 0
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@pytest.mark.parametrize("arg", [None, "dummy"], ids=lambda x: x[0])
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def test_bad_mul(arg):
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with pytest.raises(TypeError):
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Quat(2, 3, 4, 5) * arg
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@pytest.mark.parametrize(
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"param,result",
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[(0, Quat(0, 0, 0, 0)), (1, Quat(2, 3, 4, 5)), (2.5, Quat(5, 7.5, 10, 12.5))],
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ids=lambda x: x[0],
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)
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def test_mul(param, result):
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calc = Quat(2, 3, 4, 5) * param
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assert calc == result
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@pytest.mark.parametrize(
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"param,result",
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[(1, Quat(2, 3, 4, 5)), (0.5, Quat(4, 6, 8, 10)), (2, Quat(1, 1.5, 2, 2.5))],
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ids=lambda x: x[0],
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)
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def test_div(param, result):
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calc = Quat(2, 3, 4, 5) / param
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assert calc == result
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def test_equal():
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arr = Quat(0.1, 1, 2, 3)
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other = Quat(0.1, 1, 2, 3)
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assert arr == other
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bad = Quat(0.1, 1, 2, 4)
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assert not arr == bad # Force use of __eq__
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@pytest.mark.parametrize("arg", [None, 0, "foo", Quat(0.1, 1, 2, 4)])
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def test_bad_equal(arg):
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arr = Quat(0.1, 1, 2, 3)
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assert arr != arg
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