@classmethod
def setup_class(cls):
    true = {'params': np.r_[(0.85472458, 0.53662099, 1.041419, (- 0.479157), (np.exp((- 0.231404)) ** 2), 0.243128, 0.713029)], 'llf': (- 186.7575), 'llf_fit': (- 186.7575), 'llf_fit_em': (- 189.25446)}
    super(TestHamiltonAR1Switch, cls).setup_class(true, rgnp, k_regimes=2, order=1)
@classmethod
def setup_class(cls):
    true = {'params': np.r_[(0.85472458, 0.53662099, 1.041419, (- 0.479157), (np.exp((- 0.231404)) ** 2), 0.243128, 0.713029)], 'llf': (- 186.7575), 'llf_fit': (- 186.7575), 'llf_fit_em': (- 189.25446)}
    super(TestHamiltonAR1Switch, cls).setup_class(true, rgnp, k_regimes=2, order=1)