def METHOD_NAME(self):
    par_dict = default_parameters.get_central_all()
    # parameters from the YAML file
    self.assertEqual(par_dict['alpha_s'],  0.1182)
    self.assertEqual(par_dict['Gamma12_Bs_c'],  -48.0)
    # parameters from the PDG file
    self.assertEqual(par_dict['m_W'], 80.379)
    self.assertEqual(par_dict['tau_phi'], 1/4.249e-3)
    # just check if the random values are numbers
    for par_random in default_parameters.get_random_all().values():
        self.assertIsInstance(par_random, (float, int))
    for par_random in default_parameters.get_random_all(size=2).values():
        self.assertEqual(par_random.shape, (2,))