def test_get_data(self, export_swarm):
states_attr = ray.get(export_swarm.get.remote("cum_rewards"))
assert isinstance(states_attr, numpy.ndarray)
env_attr = ray.get(export_swarm.get.remote("observs"))
assert isinstance(env_attr, numpy.ndarray)
model_attr = ray.get(export_swarm.get.remote("actions"))
assert isinstance(model_attr, numpy.ndarray)
walkers_attr = ray.get(export_swarm.get.remote("minimize"))
assert isinstance(walkers_attr, bool)
swarm_attr = ray.get(export_swarm.get.remote("n_import"))
assert isinstance(swarm_attr, int)
def test_get_data(self, export_swarm):
states_attr = ray.get(export_swarm.get.remote("cum_rewards"))
assert dtype.is_tensor(states_attr), (type(states_attr), states_attr)
env_attr = ray.get(export_swarm.get.remote("observs"))
assert dtype.is_tensor(env_attr)
model_attr = ray.get(export_swarm.get.remote("actions"))
assert dtype.is_tensor(model_attr)
walkers_attr = ray.get(export_swarm.get.remote("minimize"))
assert dtype.is_bool(walkers_attr)
swarm_attr = ray.get(export_swarm.get.remote("n_import"))
assert dtype.is_int(swarm_attr)
def test_run_exchange_step(self, export_swarm):
empty_walkers = ray.get(export_swarm.get_empty_export_walkers.remote())
ray.get(export_swarm.run_exchange_step.remote(empty_walkers))
walkers = ExportedWalkers(3)
walkers.rewards = numpy.array([999, 777, 333])
walkers.states = numpy.array([[999, 999, 999,
999], [777, 777, 777, 777],
[333, 333, 333, 333]])
walkers.id_walkers = numpy.array([999, 777, 333])
walkers.observs = numpy.array([[999, 999, 999, 999],
[777, 777, 777, 777],
[333, 333, 333, 333]])
ray.get(export_swarm.reset.remote())
exported = ray.get(export_swarm.run_exchange_step.remote(walkers))
best_found = ray.get(export_swarm.get.remote("best_reward"))
assert len(exported) == ray.get(export_swarm.get.remote("n_export"))
assert best_found == 999
def test_get_empty_walkers(self, export_swarm):
walkers = ray.get(export_swarm.get_empty_export_walkers.remote())
assert isinstance(walkers, ExportedWalkers)
assert len(walkers) == 0
def test_reset(self, export_swarm):
reset = ray.get(export_swarm.reset.remote())
assert reset is None
