def test_constant_wind_after_model_time(self): ''' test to make sure the wind mover is behaving properly with out-of-bounds winds. A constant wind should extrapolate if it is out of bounds, so prepare_for_model_step() should not fail. We are testing that the wind extrapolates properly, so the windages should be updated in the same way as the in-bounds test ''' wind_time = datetime(2012, 8, 21, 13) # one day after model time wind = Wind(timeseries=np.array((wind_time, (2., 25.)), dtype=datetime_value_2d).reshape(1), units='meter per second') wm = WindMover(wind) wm.prepare_for_model_run() for ix in range(2): curr_time = sec_to_date(date_to_sec(self.model_time) + self.time_step * ix) print 'curr_time = ', curr_time old_windages = np.copy(self.sc['windages']) wm.prepare_for_model_step(self.sc, self.time_step, curr_time) mask = self.sc['windage_persist'] == -1 assert np.all(self.sc['windages'][mask] == old_windages[mask]) mask = self.sc['windage_persist'] > 0 assert np.all(self.sc['windages'][mask] != old_windages[mask])
def test_active(): """ test that mover must be both active and on to get movement """ time_step = 15 * 60 # seconds start_pos = (3., 6., 0.) rel_time = datetime(2012, 8, 20, 13) # yyyy/month/day/hr/min/sec sc = sample_sc_release(5, start_pos, rel_time) # value is given as (r,theta) time_val = np.zeros((1, ), dtype=datetime_value_2d) time_val['time'] = rel_time time_val['value'] = (2., 25.) wm = WindMover(Wind(timeseries=time_val, units='meter per second'), on=False) wm.prepare_for_model_run() wm.prepare_for_model_step(sc, time_step, rel_time) delta = wm.get_move(sc, time_step, rel_time) wm.model_step_is_done() assert wm.active is False assert np.all(delta == 0) # model_time + time_step = active_start
def test_variable_wind_after_model_time(self): ''' test to make sure the wind mover is behaving properly with out-of-bounds winds. A variable wind should not extrapolate if it is out of bounds, so prepare_for_model_step() should fail with an exception in this case. ''' wind_time = datetime(2012, 8, 21, 13) # one day after model time time_series = (np.zeros((3, ), dtype=datetime_value_2d) .view(dtype=np.recarray)) time_series.time = [sec_to_date(date_to_sec(wind_time) + self.time_step * i) for i in range(3)] time_series.value = np.array(((2., 25.), (2., 25.), (2., 25.))) wind = Wind(timeseries=time_series.reshape(3), units='meter per second') wm = WindMover(wind) wm.prepare_for_model_run() for ix in range(2): curr_time = sec_to_date(date_to_sec(self.model_time) + self.time_step * ix) with raises(RuntimeError): wm.prepare_for_model_step(self.sc, self.time_step, curr_time)
def test_active(): """ test that mover must be both active and on to get movement """ time_step = 15 * 60 # seconds start_pos = (3., 6., 0.) rel_time = datetime(2012, 8, 20, 13) # yyyy/month/day/hr/min/sec sc = sample_sc_release(5, start_pos, rel_time) # value is given as (r,theta) time_val = np.zeros((1, ), dtype=datetime_value_2d) time_val['time'] = np.datetime64(rel_time.isoformat()) time_val['value'] = (2., 25.) wm = WindMover(environment.Wind(timeseries=time_val, units='meter per second'), on=False) wm.prepare_for_model_run() wm.prepare_for_model_step(sc, time_step, rel_time) delta = wm.get_move(sc, time_step, rel_time) wm.model_step_is_done() assert wm.active == False assert np.all(delta == 0) # model_time + time_step = active_start
def test_prepare_for_model_step(): """ explicitly test to make sure windages are being updated for persistence != 0 and windages are not being changed for persistance == -1 """ time_step = 15 * 60 # seconds model_time = datetime(2012, 8, 20, 13) # yyyy/month/day/hr/min/sec sc = sample_sc_release(5, (3., 6., 0.), model_time) sc['windage_persist'][:2] = -1 wind = Wind(timeseries=np.array((model_time, (2., 25.)), dtype=datetime_value_2d).reshape(1), units='meter per second') wm = WindMover(wind) wm.prepare_for_model_run() for ix in range(2): curr_time = sec_to_date(date_to_sec(model_time) + time_step * ix) old_windages = np.copy(sc['windages']) wm.prepare_for_model_step(sc, time_step, curr_time) mask = [sc['windage_persist'] == -1] assert np.all(sc['windages'][mask] == old_windages[mask]) mask = [sc['windage_persist'] > 0] assert np.all(sc['windages'][mask] != old_windages[mask])
def test_variable_wind_after_model_time(self): ''' test to make sure the wind mover is behaving properly with out-of-bounds winds. A variable wind should not extrapolate if it is out of bounds, so prepare_for_model_step() should fail with an exception in this case. ''' wind_time = datetime(2012, 8, 21, 13) # one day after model time time_series = (np.zeros((3, ), dtype=datetime_value_2d) .view(dtype=np.recarray)) time_series.time = [sec_to_date(date_to_sec(wind_time) + self.time_step * i) for i in range(3)] time_series.value = np.array(((2., 25.), (2., 25.), (2., 25.))) wind = Wind(timeseries=time_series.reshape(3), units='meter per second') wm = WindMover(wind) wm.prepare_for_model_run() for ix in range(2): curr_time = sec_to_date(date_to_sec(self.model_time) + self.time_step * ix) with raises(RuntimeError): wm.prepare_for_model_step(self.sc, self.time_step, curr_time)
def test_constant_wind_after_model_time(self): ''' test to make sure the wind mover is behaving properly with out-of-bounds winds. A constant wind should extrapolate if it is out of bounds, so prepare_for_model_step() should not fail. We are testing that the wind extrapolates properly, so the windages should be updated in the same way as the in-bounds test ''' wind_time = datetime(2012, 8, 21, 13) # one day after model time wind = Wind(timeseries=np.array((wind_time, (2., 25.)), dtype=datetime_value_2d).reshape(1), units='meter per second') wm = WindMover(wind) wm.prepare_for_model_run() for ix in range(2): curr_time = sec_to_date(date_to_sec(self.model_time) + self.time_step * ix) print 'curr_time = ', curr_time old_windages = np.copy(self.sc['windages']) wm.prepare_for_model_step(self.sc, self.time_step, curr_time) mask = self.sc['windage_persist'] == -1 assert np.all(self.sc['windages'][mask] == old_windages[mask]) mask = self.sc['windage_persist'] > 0 assert np.all(self.sc['windages'][mask] != old_windages[mask])
def test_prepare_for_model_step(): """ explicitly test to make sure windages are being updated for persistence != 0 and windages are not being changed for persistance == -1 """ time_step = 15 * 60 # seconds model_time = datetime(2012, 8, 20, 13) # yyyy/month/day/hr/min/sec sc = sample_sc_release(5, (3., 6., 0.), model_time) sc['windage_persist'][:2] = -1 wind = Wind(timeseries=np.array((model_time, (2., 25.)), dtype=datetime_value_2d).reshape(1), units='meter per second') wm = WindMover(wind) wm.prepare_for_model_run() for ix in range(2): curr_time = sec_to_date(date_to_sec(model_time) + time_step * ix) old_windages = np.copy(sc['windages']) wm.prepare_for_model_step(sc, time_step, curr_time) mask = [sc['windage_persist'] == -1] assert np.all(sc['windages'][mask] == old_windages[mask]) mask = [sc['windage_persist'] > 0] assert np.all(sc['windages'][mask] != old_windages[mask])
def test_exceptions(): """ Test ValueError exception thrown if improper input arguments """ with raises(ReferencedObjectNotSet) as excinfo: wm = WindMover() wm.prepare_for_model_run() print excinfo.value.message with raises(TypeError): """ violates duck typing so may want to remove. Though current WindMover's backend cython object looks for C++ OSSM object which is embedded in Wind object which is why this check was enforced. Can be re-evaluated if there is a need. """ WindMover(wind=10)
def test_exceptions(): """ Test ValueError exception thrown if improper input arguments """ with raises(ReferencedObjectNotSet) as excinfo: wm = WindMover() wm.prepare_for_model_run() print excinfo.value.message with raises(TypeError): """ violates duck typing so may want to remove. Though current WindMover's backend cython object looks for C++ OSSM object which is embedded in Wind object which is why this check was enforced. Can be re-evaluated if there is a need. """ WindMover(wind=10)
def test_timespan(): """ Ensure the active flag is being set correctly and checked, such that if active=False, the delta produced by get_move = 0 """ time_step = 15 * 60 # seconds start_pos = (3., 6., 0.) rel_time = datetime(2012, 8, 20, 13) # yyyy/month/day/hr/min/sec sc = sample_sc_release(5, start_pos, rel_time) # value is given as (r,theta) model_time = rel_time time_val = np.zeros((1, ), dtype=datetime_value_2d) time_val['time'] = rel_time time_val['value'] = (2., 25.) wm = WindMover(Wind(timeseries=time_val, units='meter per second'), active_range=(model_time + timedelta(seconds=time_step), InfDateTime('inf'))) wm.prepare_for_model_run() wm.prepare_for_model_step(sc, time_step, model_time) delta = wm.get_move(sc, time_step, model_time) wm.model_step_is_done() assert wm.active is False assert np.all(delta == 0) # model_time + time_step = active_start wm.active_range = (model_time - timedelta(seconds=time_step / 2), InfDateTime('inf')) wm.prepare_for_model_step(sc, time_step, model_time) delta = wm.get_move(sc, time_step, model_time) wm.model_step_is_done() assert wm.active is True print '''\ntest_timespan delta \n{0}'''.format(delta) assert np.all(delta[:, :2] != 0) # model_time + time_step > active_start
def test_variable_wind_after_model_time_with_extrapolation(self): ''' test to make sure the wind mover is behaving properly with out-of-bounds winds. A variable wind can extrapolate if it is configured to do so, so prepare_for_model_step() should succeed in this case. We are testing that the wind extrapolates properly, so the windages should be updated in the same way as the in-bounds test ''' wind_time = datetime(2012, 8, 21, 13) # one day after model time time_series = (np.zeros((3, ), dtype=datetime_value_2d) .view(dtype=np.recarray)) time_series.time = [sec_to_date(date_to_sec(wind_time) + self.time_step * i) for i in range(3)] time_series.value = np.array(((2., 25.), (2., 25.), (2., 25.))) wind = Wind(timeseries=time_series.reshape(3), extrapolation_is_allowed=True, units='meter per second') wm = WindMover(wind) wm.prepare_for_model_run() for ix in range(2): curr_time = sec_to_date(date_to_sec(self.model_time) + self.time_step * ix) old_windages = np.copy(self.sc['windages']) wm.prepare_for_model_step(self.sc, self.time_step, curr_time) mask = self.sc['windage_persist'] == -1 assert np.all(self.sc['windages'][mask] == old_windages[mask]) mask = self.sc['windage_persist'] > 0 assert np.all(self.sc['windages'][mask] != old_windages[mask])
def test_variable_wind_after_model_time_with_extrapolation(self): ''' test to make sure the wind mover is behaving properly with out-of-bounds winds. A variable wind can extrapolate if it is configured to do so, so prepare_for_model_step() should succeed in this case. We are testing that the wind extrapolates properly, so the windages should be updated in the same way as the in-bounds test ''' wind_time = datetime(2012, 8, 21, 13) # one day after model time time_series = (np.zeros((3, ), dtype=datetime_value_2d) .view(dtype=np.recarray)) time_series.time = [sec_to_date(date_to_sec(wind_time) + self.time_step * i) for i in range(3)] time_series.value = np.array(((2., 25.), (2., 25.), (2., 25.))) wind = Wind(timeseries=time_series.reshape(3), extrapolation_is_allowed=True, units='meter per second') wm = WindMover(wind) wm.prepare_for_model_run() for ix in range(2): curr_time = sec_to_date(date_to_sec(self.model_time) + self.time_step * ix) old_windages = np.copy(self.sc['windages']) wm.prepare_for_model_step(self.sc, self.time_step, curr_time) mask = self.sc['windage_persist'] == -1 assert np.all(self.sc['windages'][mask] == old_windages[mask]) mask = self.sc['windage_persist'] > 0 assert np.all(self.sc['windages'][mask] != old_windages[mask])
def test_windages_updated(self): ''' explicitly test to make sure: - windages are being updated for persistence != 0 and - windages are not being changed for persistance == -1 ''' wind = Wind(timeseries=np.array((self.model_time, (2., 25.)), dtype=datetime_value_2d).reshape(1), units='meter per second') wm = WindMover(wind) wm.prepare_for_model_run() for ix in range(2): curr_time = sec_to_date(date_to_sec(self.model_time) + self.time_step * ix) old_windages = np.copy(self.sc['windages']) wm.prepare_for_model_step(self.sc, self.time_step, curr_time) mask = self.sc['windage_persist'] == -1 assert np.all(self.sc['windages'][mask] == old_windages[mask]) mask = self.sc['windage_persist'] > 0 assert np.all(self.sc['windages'][mask] != old_windages[mask])
def test_windages_updated(self): ''' explicitly test to make sure: - windages are being updated for persistence != 0 and - windages are not being changed for persistance == -1 ''' wind = Wind(timeseries=np.array((self.model_time, (2., 25.)), dtype=datetime_value_2d).reshape(1), units='meter per second') wm = WindMover(wind) wm.prepare_for_model_run() for ix in range(2): curr_time = sec_to_date(date_to_sec(self.model_time) + self.time_step * ix) old_windages = np.copy(self.sc['windages']) wm.prepare_for_model_step(self.sc, self.time_step, curr_time) mask = self.sc['windage_persist'] == -1 assert np.all(self.sc['windages'][mask] == old_windages[mask]) mask = self.sc['windage_persist'] > 0 assert np.all(self.sc['windages'][mask] != old_windages[mask])