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")