class TransformCase(unittest.TestCase):
def setUp(self):
self.s = Spheroid(distance=2., direction=(1, 3, 4.),
angles=(.3, .2, .1))
def test_offset(self):
nptest.assert_allclose(self.s.offset,
self.s.distance*self.s.direction)
def test_from_to_axis(self, n=10):
x = np.random.randn(n, 3)
x1 = self.s.to_axis(x)
x2 = self.s.from_axis(x1)
nptest.assert_allclose(x, x2)
def test_from_to_normal(self, n=10):
x = np.random.randn(n, 3)
x1 = self.s.to_normal(x)
x2 = self.s.from_normal(x1)
nptest.assert_allclose(x, x2)
def test_rot(self):
self.s.angles = 0, 0, 0
x = np.array([0., 0, 3])
x1 = self.s.from_normal(x)
nptest.assert_allclose(x1, self.s.direction*3)
self.s.direction = 0, 0, 1.
self.s.angles = .1, 0, 0
x1 = self.s.from_normal(x)
nptest.assert_allclose(x1, (0, 3*np.sin(.1), 3*np.cos(.1)))
class TransformCase(unittest.TestCase):
def setUp(self):
self.s = Spheroid(distance=2.,
direction=(1, 3, 4.),
angles=(.3, .2, .1))
def test_offset(self):
nptest.assert_allclose(self.s.offset,
self.s.distance * self.s.direction)
def test_from_to_axis(self, n=10):
x = np.random.randn(n, 3)
x1 = self.s.to_axis(x)
x2 = self.s.from_axis(x1)
nptest.assert_allclose(x, x2)
def test_from_to_normal(self, n=10):
x = np.random.randn(n, 3)
x1 = self.s.to_normal(x)
x2 = self.s.from_normal(x1)
nptest.assert_allclose(x, x2)
def test_rot(self):
self.s.angles = 0, 0, 0
x = np.array([0., 0, 3])
x1 = self.s.from_normal(x)
nptest.assert_allclose(x1, self.s.direction * 3)
self.s.direction = 0, 0, 1.
self.s.angles = .1, 0, 0
x1 = self.s.from_normal(x)
nptest.assert_allclose(x1, (0, 3 * np.sin(.1), 3 * np.cos(.1)))
class ParaxToRealCase(unittest.TestCase):
def setUp(self):
self.mat = mat = ModelMaterial(n=1.5)
d = np.random.randn(3)*1e-1 + (0, 0, 1.)
a = np.random.randn(3)*1e-8
a[1:] = 0
self.s = Spheroid(curvature=.1, distance=.2, material=mat,
direction=d, angles=a)
de = self.s.excidence(1/self.s.material.n)
self.sa = Spheroid(direction=de)
def test_real_similar_to_parax(self, n=100, e=1e-3):
y0p = np.random.randn(n, 2)*e
u0p = np.random.randn(n, 2)*e
y0r = np.hstack((y0p, np.ones((n, 1))*-self.s.distance))
u0r = np.hstack((sinarctan(u0p), np.zeros((n, 1))))
u0r[:, 2] = np.sqrt(1 - np.square(u0p).sum(1))
yup, np_ = self.s.propagate_paraxial(np.hstack((y0p, u0p)).T, 1., 1.)
yp, up = np.hsplit(yup.T, 2)
# y0r, u0r = self.s.to_normal(y0r, u0r)
yr, ur, nr, tr = self.s.propagate(y0r, u0r, 1., 1.)
# yr, ur = self.s.from_normal(yr, ur)
yr, ur = self.sa.to_axis(yr, ur)
nptest.assert_allclose(nr, np_, rtol=e**2, atol=3e-8)
nptest.assert_allclose(yr[:, :2], yp, rtol=e**2, atol=3e-8)
nptest.assert_allclose(tanarcsin(ur), up/np_, rtol=e**2, atol=3e-8)
class ParaxToRealCase(unittest.TestCase):
def setUp(self):
self.mat = mat = ModelMaterial(n=1.5)
d = np.random.randn(3) * 1e-1 + (0, 0, 1.)
a = np.random.randn(3) * 1e-8
a[1:] = 0
self.s = Spheroid(curvature=.1,
distance=.2,
material=mat,
direction=d,
angles=a)
de = self.s.excidence(1 / self.s.material.n)
self.sa = Spheroid(direction=de)
def test_real_similar_to_parax(self, n=100, e=1e-3):
y0p = np.random.randn(n, 2) * e
u0p = np.random.randn(n, 2) * e
y0r = np.hstack((y0p, np.ones((n, 1)) * -self.s.distance))
u0r = np.hstack((sinarctan(u0p), np.zeros((n, 1))))
u0r[:, 2] = np.sqrt(1 - np.square(u0p).sum(1))
yup, np_ = self.s.propagate_paraxial(np.hstack((y0p, u0p)).T, 1., 1.)
yp, up = np.hsplit(yup.T, 2)
# y0r, u0r = self.s.to_normal(y0r, u0r)
yr, ur, nr, tr = self.s.propagate(y0r, u0r, 1., 1.)
# yr, ur = self.s.from_normal(yr, ur)
yr, ur = self.sa.to_axis(yr, ur)
nptest.assert_allclose(nr, np_, rtol=e**2, atol=3e-8)
nptest.assert_allclose(yr[:, :2], yp, rtol=e**2, atol=3e-8)
nptest.assert_allclose(tanarcsin(ur), up / np_, rtol=e**2, atol=3e-8)
