from panda3d.core import Vec2, Vec3, Vec4, Vec2F, Vec2D def test_vec2_creation(): assert Vec2(x=1, y=2) == Vec2(1, 2) == Vec2((1, 2)) def test_vec2_getter_setter(): original_vector = Vec2(2, 3) assert original_vector.x == 2 assert original_vector.y == 3 original_vector.x = 1 original_vector.y = 3 assert original_vector == Vec2(1, 3) original_vector[0] = 3 original_vector[1] = 1 assert original_vector == Vec2(3, 1) original_vector.set_x(-8) original_vector.set_y(6) assert original_vector.x == -8 assert original_vector.y == 6 def test_vec2_sum(): original_vector = Vec2(2, 3) assert original_vector + original_vector == Vec2(4, 6) assert original_vector + 3 == Vec2(5, 6) def test_vec2_power(): assert Vec2(2, -3) ** 2 == Vec2(4, 9) def test_vec2_len(): assert len(Vec2(2, -3)) == 2 def test_vec2_swizzle_mask(): original_vector = Vec2(3, 5) assert original_vector.yx == Vec2(5, 3) assert original_vector.xy == original_vector def test_vec2_str(): assert str(Vec2F(2, 3)) == "LVector2f(2, 3)" assert str(Vec2D(2, 3)) == "LVector2d(2, 3)" def test_vec2_compare(): assert Vec2(1, 2).compare_to(Vec2(1, 2)) == 0 assert Vec2(1, 0).compare_to(Vec2(1, 0)) == 0 assert Vec2(1, 0).compare_to(Vec2(0, 1)) == 1 assert Vec2(0, 1).compare_to(Vec2(1, 0)) == -1 assert Vec2(0, 1).compare_to(Vec2(0, 1)) == 0 def test_vec2_nan(): nan = float("nan") inf = float("inf") assert not Vec2F(0, 0).is_nan() assert not Vec2F(1, 0).is_nan() assert Vec2F(nan, 0).is_nan() assert Vec2F(0, nan).is_nan() assert Vec2F(nan, nan).is_nan() assert Vec2F(-nan, 0).is_nan() assert Vec2F(-nan, nan).is_nan() assert Vec2F(inf, nan).is_nan() assert not Vec2F(inf, 0).is_nan() assert not Vec2F(inf, inf).is_nan() assert not Vec2F(-inf, 0).is_nan() assert not Vec2D(0, 0).is_nan() assert not Vec2D(1, 0).is_nan() assert Vec2D(nan, 0).is_nan() assert Vec2D(0, nan).is_nan() assert Vec2D(nan, nan).is_nan() assert Vec2D(-nan, 0).is_nan() assert Vec2D(-nan, nan).is_nan() assert Vec2D(inf, nan).is_nan() assert not Vec2D(inf, 0).is_nan() assert not Vec2D(inf, inf).is_nan() assert not Vec2D(-inf, 0).is_nan()