def test_init(self):
"""Test __init__."""
skst = MvSN(ndim=3)
self.assertIsInstance(skst.lam, np.ndarray)
lam = [.5, 1.5]
skst = MvSN(ndim=len(lam), lam=lam)
npt.assert_array_equal(skst.lam, np.array(lam))
mu, sigma = [.5, .4], np.ones((2, 2))
skst = MvSN(ndim=len(lam), lam=lam, mu=mu, sigma=sigma)
npt.assert_array_equal(skst.mu, np.array(mu))
npt.assert_array_equal(skst.sigma, np.array(sigma))
npt.assert_array_equal(skst.const_mu(), np.array(mu))
npt.assert_array_equal(skst.const_sigma(), np.array(sigma))
lam = [1.5, .5]
skst.from_theta(np.array(lam))
npt.assert_array_equal(skst.lam, np.array(lam))
size = len(lam)
data = np.random.normal(size=size)
skst = MvSN(ndim=len(lam), data=data)
npt.assert_array_equal(skst.data, np.atleast_2d(data))
def test_init(self):
"""Test __init__."""
skst = MvSN(ndim=3)
self.assertIsInstance(skst.lam, np.ndarray)
lam = [.5, 1.5]
skst = MvSN(ndim=len(lam), lam=lam)
npt.assert_array_equal(skst.lam, np.array(lam))
mu, sigma = [.5, .4], np.ones((2, 2))
skst = MvSN(ndim=len(lam), lam=lam, mu=mu, sigma=sigma)
npt.assert_array_equal(skst.mu, np.array(mu))
npt.assert_array_equal(skst.sigma, np.array(sigma))
npt.assert_array_equal(skst.const_mu(), np.array(mu))
npt.assert_array_equal(skst.const_sigma(), np.array(sigma))
lam = [1.5, .5]
skst.from_theta(np.array(lam))
npt.assert_array_equal(skst.lam, np.array(lam))
size = len(lam)
data = np.random.normal(size=size)
skst = MvSN(ndim=len(lam), data=data)
npt.assert_array_equal(skst.data, np.atleast_2d(data))
