def test_with_vector_values(self):
c = Components(use_trend=True, use_damped_trend=True,
use_arma_errors=True, use_box_cox=True, seasonal_periods=[7, 30], p=1, q=2)
p = ModelParams(c, alpha=0.1, box_cox_lambda=1.4, beta=0.2, phi=0.3, gamma_params=[0.4, 0.5],
ar_coefs=[-0.3], ma_coefs=[-0.4, 0.6])
v = p.to_vector()
assert np.array_equal([0.1, 1.4, 0.2, 0.3, 0.4, 0.5, -0.3, -0.4, 0.6], v)
p = ModelParams(c, alpha=0.9, box_cox_lambda=1.4)
p = p.with_vector_values(v)
assert p.alpha == 0.1
assert p.box_cox_lambda == 1.4
assert p.beta == 0.2
assert p.phi == 0.3
assert np.array_equal([0.4, 0.5], p.gamma_params)
assert np.array_equal([-0.3], p.ar_coefs)
assert np.array_equal([-0.4, 0.6], p.ma_coefs)
def test_to_vector(self, components, params, expected):
c = Components(**components)
p = ModelParams(c, **params)
vector = p.to_vector()
assert np.array_equal(expected, vector)