def test_take_action_returns_nones_on_missing_values():
test_seed = 3
policy = TFPolicy(test_seed, basic_mock_brain(), basic_params())
policy.evaluate = MagicMock(return_value={})
policy.save_memories = MagicMock()
brain_info_with_agents = BrainInfo([], [], [],
agents=["an-agent-id"],
local_done=[False])
result = policy.get_action(brain_info_with_agents)
assert result == ActionInfo(None, None, {})
def test_take_action_returns_nones_on_missing_values():
test_seed = 3
policy = TFPolicy(test_seed, basic_mock_brain(), basic_params())
policy.evaluate = MagicMock(return_value={})
policy.save_memories = MagicMock()
step_with_agents = BatchedStepResult(
[],
np.array([], dtype=np.float32),
np.array([False], dtype=np.bool),
np.array([], dtype=np.bool),
np.array([0]),
None,
)
result = policy.get_action(step_with_agents, worker_id=0)
assert result == ActionInfo(None, None, {}, [0])