def test_parameter_display_set_2(self):
MP = ModelParameters()
MP.add_model_parameter(name = 'm', theta0 = 2., minimum = -10, maximum = np.inf, sample = True)
MP.add_model_parameter(name = 'b', theta0 = -5., minimum = -10, maximum = 100, sample = False)
MP.add_model_parameter(name = 'b2', theta0 = -5.3e6, minimum = -1e7, maximum = 1e6, sample = True)
MP._openparameterstructure(nbatch = 1)
MP.display_parameter_settings(verbosity = None, no_adapt = None)
def test_results_to_params(self):
MP = ModelParameters()
MP.add_model_parameter('aa', 0)
MP._openparameterstructure(nbatch=1)
# define minimal results dictionary
results = {'parind': MP._parind, 'names': MP._names, 'local': MP._local, 'theta': [1.2]}
# initialize default options
SO = SimulationOptions()
SO.define_simulation_options(verbosity=0)
MP.display_parameter_settings(verbosity = SO.verbosity, no_adapt = MP._no_adapt)
MP._results_to_params(results, 1)
MP._openparameterstructure(nbatch=1)
MP.display_parameter_settings(verbosity = SO.verbosity, no_adapt = MP._no_adapt)
self.assertEqual(MP.parameters[0]['theta0'], results['theta'][0])