from unittest import mock import pytest import numpy as np from mlagents_envs.environment import UnityEnvironment from mlagents_envs.base_env import DecisionSteps, TerminalSteps from mlagents_envs.exception import UnityEnvironmentException, UnityActionException from mlagents_envs.mock_communicator import MockCommunicator @mock.patch("mlagents_envs.environment.UnityEnvironment.get_communicator") def test_handles_bad_filename(get_communicator): with pytest.raises(UnityEnvironmentException): UnityEnvironment(" ") @mock.patch("mlagents_envs.environment.UnityEnvironment.executable_launcher") @mock.patch("mlagents_envs.environment.UnityEnvironment.get_communicator") def test_initialization(mock_communicator, mock_launcher): mock_communicator.return_value = MockCommunicator( discrete_action=False, visual_inputs=0 ) env = UnityEnvironment(" ") assert env.get_behavior_names() == ["RealFakeBrain"] env.close() @pytest.mark.parametrize( "base_port,file_name,expected", [ # Non-None base port value will always be used (6001, "foo.exe", 6001), # No port specified and environment specified, so use BASE_ENVIRONMENT_PORT (None, "foo.exe", UnityEnvironment.BASE_ENVIRONMENT_PORT), # No port specified and no environment, so use DEFAULT_EDITOR_PORT (None, None, UnityEnvironment.DEFAULT_EDITOR_PORT), ], ) @mock.patch("mlagents_envs.environment.UnityEnvironment.executable_launcher") @mock.patch("mlagents_envs.environment.UnityEnvironment.get_communicator") def test_port_defaults( mock_communicator, mock_launcher, base_port, file_name, expected ): mock_communicator.return_value = MockCommunicator( discrete_action=False, visual_inputs=0 ) env = UnityEnvironment(file_name=file_name, worker_id=0, base_port=base_port) assert expected == env.port @mock.patch("mlagents_envs.environment.UnityEnvironment.executable_launcher") @mock.patch("mlagents_envs.environment.UnityEnvironment.get_communicator") def test_reset(mock_communicator, mock_launcher): mock_communicator.return_value = MockCommunicator( discrete_action=False, visual_inputs=0 ) env = UnityEnvironment(" ") spec = env.get_behavior_spec("RealFakeBrain") env.reset() decision_steps, terminal_steps = env.get_steps("RealFakeBrain") env.close() assert isinstance(decision_steps, DecisionSteps) assert isinstance(terminal_steps, TerminalSteps) assert len(spec.observation_shapes) == len(decision_steps.obs) assert len(spec.observation_shapes) == len(terminal_steps.obs) n_agents = len(decision_steps) for shape, obs in zip(spec.observation_shapes, decision_steps.obs): assert (n_agents,) + shape == obs.shape n_agents = len(terminal_steps) for shape, obs in zip(spec.observation_shapes, terminal_steps.obs): assert (n_agents,) + shape == obs.shape @mock.patch("mlagents_envs.environment.UnityEnvironment.executable_launcher") @mock.patch("mlagents_envs.environment.UnityEnvironment.get_communicator") def test_step(mock_communicator, mock_launcher): mock_communicator.return_value = MockCommunicator( discrete_action=False, visual_inputs=0 ) env = UnityEnvironment(" ") spec = env.get_behavior_spec("RealFakeBrain") env.step() decision_steps, terminal_steps = env.get_steps("RealFakeBrain") n_agents = len(decision_steps) env.set_actions( "RealFakeBrain", np.zeros((n_agents, spec.action_size), dtype=np.float32) ) env.step() with pytest.raises(UnityActionException): env.set_actions( "RealFakeBrain", np.zeros((n_agents - 1, spec.action_size), dtype=np.float32), ) decision_steps, terminal_steps = env.get_steps("RealFakeBrain") n_agents = len(decision_steps) env.set_actions( "RealFakeBrain", -1 * np.ones((n_agents, spec.action_size), dtype=np.float32) ) env.step() env.close() assert isinstance(decision_steps, DecisionSteps) assert isinstance(terminal_steps, TerminalSteps) assert len(spec.observation_shapes) == len(decision_steps.obs) assert len(spec.observation_shapes) == len(terminal_steps.obs) for shape, obs in zip(spec.observation_shapes, decision_steps.obs): assert (n_agents,) + shape == obs.shape assert 0 in decision_steps assert 2 in terminal_steps @mock.patch("mlagents_envs.environment.UnityEnvironment.executable_launcher") @mock.patch("mlagents_envs.environment.UnityEnvironment.get_communicator") def test_close(mock_communicator, mock_launcher): comm = MockCommunicator(discrete_action=False, visual_inputs=0) mock_communicator.return_value = comm env = UnityEnvironment(" ") assert env._loaded env.close() assert not env._loaded assert comm.has_been_closed def test_check_communication_compatibility(): unity_ver = "1.0.0" python_ver = "1.0.0" unity_package_version = "0.15.0" assert UnityEnvironment.check_communication_compatibility( unity_ver, python_ver, unity_package_version ) unity_ver = "1.1.0" assert UnityEnvironment.check_communication_compatibility( unity_ver, python_ver, unity_package_version ) unity_ver = "2.0.0" assert not UnityEnvironment.check_communication_compatibility( unity_ver, python_ver, unity_package_version ) unity_ver = "0.16.0" python_ver = "0.16.0" assert UnityEnvironment.check_communication_compatibility( unity_ver, python_ver, unity_package_version ) unity_ver = "0.17.0" assert not UnityEnvironment.check_communication_compatibility( unity_ver, python_ver, unity_package_version ) unity_ver = "1.16.0" assert not UnityEnvironment.check_communication_compatibility( unity_ver, python_ver, unity_package_version ) def test_returncode_to_signal_name(): assert UnityEnvironment.returncode_to_signal_name(-2) == "SIGINT" assert UnityEnvironment.returncode_to_signal_name(42) is None assert UnityEnvironment.returncode_to_signal_name("SIGINT") is None if __name__ == "__main__": pytest.main()