def test_call_happy_path(self):
linear_map = LinearMap_3d_to_5d(
((1, 2, 3), (4, 5, 6), (7, 8, 9), (10, 11, 12), (13, 14, 15)))
v3d = Vec3(1, 1, 1)
expected_result = Vec5(6, 15, 24, 33, 42)
self.assertEqual(linear_map(v3d), expected_result)
def test_multiply_matrix_by_vector(self):
m = Matrix_5x3((
(1, 2, 3),
(4, 5, 6),
(7, 8, 9),
(10, 11, 12),
(13, 14, 15)
))
v = Vec3(1, 1, 1)
result = m * v
self.assertEqual(result, Vec5(6, 15, 24, 33, 42))
def test_add_between_classes_2(self):
with self.assertRaises(
TypeError,
msg='should raise TypeError when not compatible class'):
Vec3(1, 2, 3) + Vec2(1, 2)
def test_eq_between_classes(self):
self.assertFalse(Vec2(1, 2) == Vec3(1, 2, 3))
self.assertFalse(Vec3(1, 2, 3) == Vec2(1, 2))
def test_negate_vector(self):
self.assertEqual(-Vec3(-1, 2, -3), Vec3(1, -2, 3))
def random_vec3(self):
return Vec3(self.random_scalar(), self.random_scalar(),
self.random_scalar())
def test_zero_vector(self):
self.assertEqual(Vec3.zero(), Vec3(0, 0, 0))
def test_scalar_division(self):
self.approx_equal_vec3(Vec3(10, -4.4, 1) / 2, Vec3(5, -2.2, 0.5))