def _test_set_data_and_playback_states(self): bb = Blackboard() sim = DataSimulator( bb ) reader = HDFReader(); filename = filenames[5][0] # Reading two datafiles [ mat, frequencies, _ ] = reader.read(filename) # Read data from first data file data = [ np.asarray( mat[i-1][ 1 ] ) for i in range(1,9) ] # get data from selected channels patterns = ['/EEG/channel_%d' % (i) for i in range(1,9) ] interval = 1. / frequencies[ 1 ] sim.set_simulation_data(data) sim.set_simulation_interval(interval) sim.set_patterns(patterns) self.assertEqual(sim.get_simulation_state(), DataSimulator.IDLE, "Simulator should be idle now") sim.start() time.sleep(.1) self.assertEqual(sim.get_simulation_state(), DataSimulator.PLAYING, "Simulator should be playing now") sim.pause() time.sleep(.1) self.assertEqual(sim.get_simulation_state(), DataSimulator.PAUSED, "Simulator should be paused now") sim.start() time.sleep(.1) self.assertEqual(sim.get_simulation_state(), DataSimulator.PLAYING, "Simulator should be playing now") sim.stop() time.sleep(.1) self.assertEqual(sim.get_simulation_state(), DataSimulator.IDLE, "Simulator should be stopped now") self.assertTrue(bb.get_count(patterns[0]) > 0, "Samples should be received on blackboard")
def test_pause(self): ''' Call the pause function to improve (functional) code coverage ''' blackboard = Blackboard() simulator = DataSimulator( blackboard ) simulator.set_state(self.states.get('PLAYING')) simulator.pause() self.assertEqual(simulator.get_simulation_state(), self.states.get('PAUSED'))
def test_pause(self): ''' Call the pause function to improve (functional) code coverage ''' blackboard = Blackboard() simulator = DataSimulator(blackboard) simulator.set_state(self.states.get('PLAYING')) simulator.pause() self.assertEqual(simulator.get_simulation_state(), self.states.get('PAUSED'))
def _test_set_data_and_playback_states(self): bb = Blackboard() sim = DataSimulator(bb) reader = HDFReader() filename = filenames[5][0] # Reading two datafiles [mat, frequencies, _] = reader.read(filename) # Read data from first data file data = [np.asarray(mat[i - 1][1]) for i in range(1, 9)] # get data from selected channels patterns = ['/EEG/channel_%d' % (i) for i in range(1, 9)] interval = 1. / frequencies[1] sim.set_simulation_data(data) sim.set_simulation_interval(interval) sim.set_patterns(patterns) self.assertEqual(sim.get_simulation_state(), DataSimulator.IDLE, "Simulator should be idle now") sim.start() time.sleep(.1) self.assertEqual(sim.get_simulation_state(), DataSimulator.PLAYING, "Simulator should be playing now") sim.pause() time.sleep(.1) self.assertEqual(sim.get_simulation_state(), DataSimulator.PAUSED, "Simulator should be paused now") sim.start() time.sleep(.1) self.assertEqual(sim.get_simulation_state(), DataSimulator.PLAYING, "Simulator should be playing now") sim.stop() time.sleep(.1) self.assertEqual(sim.get_simulation_state(), DataSimulator.IDLE, "Simulator should be stopped now") self.assertTrue( bb.get_count(patterns[0]) > 0, "Samples should be received on blackboard")