def test_crossprod(self):
a = VMD(1.0,0.0,0.0)
b = VMD(0.0,1.0,0.0)
c = a.cross_prod(b)
self.assertAlmostEquals(c[0],0.0)
self.assertAlmostEquals(c[1],0.0)
self.assertAlmostEquals(c[2],1.0)
def test_equality_operators(self):
v1 = VMD(1.0, 2.0)
self.assertEqual(v1, v1)
v2 = VMD(1.0, 2.0) # different object, same value
self.assertEqual(v1, v2)
self.assertFalse(v1 != v2)
v3 = VMD(1.0, -5.0)
self.assertNotEqual(v1, v3)
def test_normalize(self):
a = VMD(3,4, math.sqrt(39.0))
pre_norm = a.norm()
self.assertEquals(pre_norm, a.normalize())
b = VMD(3./8,4./8, math.sqrt(39.0)/8.) # normalized version
self.assertAlmostEquals(b[0], a[0], places=6)
self.assertAlmostEquals(b[1], a[1], places=6)
self.assertAlmostEquals(b[2], a[2], places=6)
def test_default_construction_gives_object_with_single_dimension(self):
one = VMD()
self.assertEquals(1, one.getNumDims())
def test_angle(self):
a = VMD(1,0,0);
b = VMD(0,1,0);
self.assertAlmostEqual(a.angle(b), math.pi/2, places=4);
def test_norm2(self):
p = VMD(1.0,-5.0,8.0);
self.assertAlmostEquals(p.norm2(), 90.0, places=6)
def test_scalar_prod_returns_expected_value(self):
a = VMD(1.0,2.0,1.0)
b = VMD(1.0,-2.0,-1.0)
sp = a.scalar_prod(b)
self.assertAlmostEquals(sp,-4.0)
def test_constructors_with_dimension_pts(self):
pts = [1]
for i in range(2,7):
pts.append(i)
vector = VMD(*pts) #unpack list
self.assertEquals(i, vector.getNumDims())
def test_value_write_access_raises_error_for_invalid_indices(self):
vector = VMD(1.0, 2.0)
self.assertRaises(IndexError, vector.__setitem__, 2, 5.0)
def test_norm(self):
p = VMD(1.0,-5.0,8.0);
self.assertAlmostEquals(p.norm(), math.sqrt(90.0),places=6)
