def _test_random_neigbor(self, hp):
cs = ConfigurationSpace()
if not isinstance(hp, list):
hp = [hp]
for hp_ in hp:
cs.add_hyperparameter(hp_)
cs.seed(1)
config = cs.sample_configuration()
for i in range(100):
new_config = get_random_neighbor(config, i)
self.assertNotEqual(config, new_config)
def test_random_neigbor_conditional(self):
mini_autosklearn_config_space_path = os.path.join(
os.path.dirname(__file__), 'test_searchspaces',
'mini_autosklearn_original.pcs')
with open(mini_autosklearn_config_space_path) as fh:
cs = read(fh)
cs.seed(1)
configuration = cs.get_default_configuration()
for i in range(100):
new_config = get_random_neighbor(configuration, i)
self.assertNotEqual(configuration, new_config)
