def test_observe_multiple_step_same_observation(self):
observer = measurement_metrics.MeasurementObserver()
observer.observe_first(env=_FAKE_ENV, timestep=_TIMESTEP)
observer.observe(env=_FAKE_ENV,
timestep=_TIMESTEP,
action=np.array([1]))
observer.observe(env=_FAKE_ENV,
timestep=_TIMESTEP,
action=np.array([4]))
observer.observe(env=_FAKE_ENV,
timestep=_TIMESTEP,
action=np.array([5]))
self.assertEqual(
{
'measurement[0]_max': 1.0,
'measurement[0]_mean': 1.0,
'measurement[0]_p25': 1.0,
'measurement[0]_p50': 1.0,
'measurement[0]_p75': 1.0,
'measurement[1]_max': -2.0,
'measurement[1]_mean': -2.0,
'measurement[1]_p25': -2.0,
'measurement[1]_p50': -2.0,
'measurement[1]_p75': -2.0,
'measurement[0]_min': 1.0,
'measurement[1]_min': -2.0,
},
observer.get_metrics(),
)
def test_observe_single_dimensions(self):
observer = measurement_metrics.MeasurementObserver()
observer.observe_first(env=_FAKE_ENV, timestep=_TIMESTEP)
single_obs_timestep = copy.deepcopy(_TIMESTEP)
single_obs_timestep.observation = [1000.0, -50.0]
observer.observe(env=_FAKE_ENV,
timestep=single_obs_timestep,
action=np.array([[1, 2], [3, 4]]))
np.testing.assert_equal(
{
'measurement[0]_max': 1000.0,
'measurement[0]_min': 1000.0,
'measurement[0]_mean': 1000.0,
'measurement[0]_p25': 1000.0,
'measurement[0]_p50': 1000.0,
'measurement[0]_p75': 1000.0,
'measurement[1]_max': -50.0,
'measurement[1]_mean': -50.0,
'measurement[1]_p25': -50.0,
'measurement[1]_p50': -50.0,
'measurement[1]_p75': -50.0,
'measurement[1]_min': -50.0,
},
observer.get_metrics(),
)
def test_observe_multiple_step(self):
observer = measurement_metrics.MeasurementObserver()
observer.observe_first(env=_FAKE_ENV, timestep=_TIMESTEP)
observer.observe(env=_FAKE_ENV,
timestep=_TIMESTEP,
action=np.array([1]))
first_obs_timestep = copy.deepcopy(_TIMESTEP)
first_obs_timestep.observation = [1000.0, -50.0]
observer.observe(env=_FAKE_ENV,
timestep=first_obs_timestep,
action=np.array([4]))
second_obs_timestep = copy.deepcopy(_TIMESTEP)
second_obs_timestep.observation = [-1000.0, 500.0]
observer.observe(env=_FAKE_ENV,
timestep=second_obs_timestep,
action=np.array([4]))
self.assertEqual(
{
'measurement[0]_max': 1000.0,
'measurement[0]_mean': 1.0 / 3,
'measurement[0]_p25': -499.5,
'measurement[0]_p50': 1.0,
'measurement[0]_p75': 500.5,
'measurement[1]_max': 500.0,
'measurement[1]_mean': 448.0 / 3.0,
'measurement[1]_p25': -26.0,
'measurement[1]_p50': -2.0,
'measurement[1]_p75': 249.0,
'measurement[0]_min': -1000.0,
'measurement[1]_min': -50.0,
},
observer.get_metrics(),
)
def test_observe_first(self):
observer = measurement_metrics.MeasurementObserver()
observer.observe_first(env=_FAKE_ENV, timestep=_TIMESTEP)
self.assertEqual({}, observer.get_metrics())
def test_observe_nothing(self):
observer = measurement_metrics.MeasurementObserver()
self.assertEqual({}, observer.get_metrics())
def test_observe_empty_observation(self):
observer = measurement_metrics.MeasurementObserver()
empty_timestep = copy.deepcopy(_TIMESTEP)
empty_timestep.observation = {}
observer.observe_first(env=_FAKE_ENV, timestep=empty_timestep)
self.assertEqual({}, observer.get_metrics())
