def test_UnivariateStat(self):
# create a Port and a Node
port = Port()
port.set_parameters(data_type='epoch',
channels=COLUMN,
sampling_frequency=250,
meta={})
node = UnivariateStat(port, 'mean')
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self)
def test_TimeBasedEpoching(self):
# create a Port and a Node
port = Port()
port.set_parameters(data_type='signal',
channels=COLUMN,
sampling_frequency=250,
meta={})
node = TimeBasedEpoching(port, 1, 0.5)
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self)
def test_ReferenceChannel(self):
# create a Port and a Node
port = Port()
port.set_parameters(data_type='signal',
channels=COLUMN,
sampling_frequency=250,
meta={})
node = ReferenceChannel(port, 'index', 1)
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self)
def test_HilbertTransform(self):
# create a Port and a Node
port = Port()
port.set_parameters(data_type='signal',
channels=COLUMN,
sampling_frequency=250,
meta={})
node = HilbertTransform(port)
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self)
def test_LslSend(self):
# create a Port and a Node
port = Port()
port.set_parameters(data_type='signal',
channels=COLUMN,
sampling_frequency=250,
meta={})
node = LslSend(port, 'my_test_signal')
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self)
def test_NotchFilter(self):
# create a Port and a Node
port = Port()
port.set_parameters(data_type='signal',
channels=COLUMN,
sampling_frequency=250,
meta={})
node = NotchFilter(port, 10, 0.4)
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self)
def test_ChannelSelector(self):
# create a Port and a Node
port = Port()
port.set_parameters(
data_type='signal',
channels=COLUMN,
sampling_frequency=250,
meta={})
node = FeatureAggregator(port)
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self)
def test_Hdf5(self):
# create a Port and a Node
port = Port()
port.set_parameters(
data_type='signal',
channels=COLUMN,
sampling_frequency=250,
meta={})
node = Hdf5(port, 'my_test', 'df')
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self)
os.remove('my_test.h5')
def test_SpatialFilter(self):
matrix = {'OC2': [4, 0, -1e-2, 0], 'OC3': [0, -1, 2, 4]}
# create a Port and a Node
port = Port()
port.set_parameters(data_type='signal',
channels=COLUMN,
sampling_frequency=250,
meta={})
node = SpatialFilter(port, matrix)
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self)
def test_Classify(self):
col = ['a', 'b']
# create a Port and a Node
port = Port()
port.set_parameters(
data_type='signal',
channels=col,
sampling_frequency=250,
meta={})
node = Classify(port, 'tests/nodes/data/classifier.sav', 'class')
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self, column=col)
def test_Windowing(self):
# create a Port and a Node
port = Port()
port.set_parameters(data_type='epoch',
channels=COLUMN,
sampling_frequency=250,
meta={})
node = Windowing(port, 'blackman')
# simulate NeuXus loops
simulate_loop_and_verify(port,
node,
self,
index=[0.2 * i for i in range(250)])
def test_StimulationBasedEpoching(self):
# create a Port and a Node
port = Port()
port.set_parameters(data_type='signal',
channels=COLUMN,
sampling_frequency=250,
meta={})
marker_port = Port()
marker_port.set_parameters(data_type='marker',
channels=['marker'],
sampling_frequency=0,
meta={})
node = StimulationBasedEpoching(port, marker_port, 400, 0.125, 2)
marker_port.set([[400]], [0.4])
# simulate NeuXus loops
simulate_loop_and_verify(port, node, self)