def test_sip(self):
# Generate an example SIP mode
sip, coinc = stgen.single_interaction_process(
n_spiketrains=self.n,
t_stop=self.t_stop,
rate=self.rate,
coincidence_rate=self.rate_c,
return_coincidences=True)
# Check the output types
self.assertEqual(type(sip), list)
self.assertEqual(type(sip[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(type(coinc[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(sip[0].simplified.units, 1000 * pq.ms)
self.assertEqual(coinc[0].simplified.units, 1000 * pq.ms)
# Check the output length
self.assertEqual(len(sip), self.n)
self.assertEqual(len(coinc[0]),
(self.rate_c * self.t_stop).simplified.magnitude)
with warnings.catch_warnings():
warnings.simplefilter("ignore")
# Generate an example SIP mode giving a list of rates as imput
sip, coinc = stgen.single_interaction_process(
t_stop=self.t_stop,
rate=self.rates,
coincidence_rate=self.rate_c,
return_coincidences=True)
# Check the output types
self.assertEqual(type(sip), list)
self.assertEqual(type(sip[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(type(coinc[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(sip[0].simplified.units, 1000 * pq.ms)
self.assertEqual(coinc[0].simplified.units, 1000 * pq.ms)
# Check the output length
self.assertEqual(len(sip), self.n)
self.assertEqual(len(coinc[0]),
(self.rate_c * self.t_stop).rescale(pq.dimensionless))
# Generate an example SIP mode stochastic number of coincidences
sip = stgen.single_interaction_process(n_spiketrains=self.n,
t_stop=self.t_stop,
rate=self.rate,
coincidence_rate=self.rate_c,
coincidences='stochastic',
return_coincidences=False)
# Check the output types
self.assertEqual(type(sip), list)
self.assertEqual(type(sip[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(sip[0].simplified.units, 1000 * pq.ms)
def test_sip(self):
# Generate an example SIP mode
sip, coinc = stgen.single_interaction_process(n=self.n,
t_stop=self.t_stop,
rate=self.rate,
rate_c=self.rate_c,
return_coinc=True)
# Check the output types
self.assertEqual(type(sip), list)
self.assertEqual(type(sip[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(type(coinc[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(sip[0].simplified.units, 1000 * ms)
self.assertEqual(coinc[0].simplified.units, 1000 * ms)
# Check the output length
self.assertEqual(len(sip), self.n)
self.assertEqual(len(coinc[0]),
(self.rate_c * self.t_stop).rescale(dimensionless))
# Generate an example SIP mode giving a list of rates as imput
sip, coinc = stgen.single_interaction_process(t_stop=self.t_stop,
rate=self.rates,
rate_c=self.rate_c,
return_coinc=True)
# Check the output types
self.assertEqual(type(sip), list)
self.assertEqual(type(sip[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(type(coinc[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(sip[0].simplified.units, 1000 * ms)
self.assertEqual(coinc[0].simplified.units, 1000 * ms)
# Check the output length
self.assertEqual(len(sip), self.n)
self.assertEqual(len(coinc[0]),
(self.rate_c * self.t_stop).rescale(dimensionless))
# Generate an example SIP mode stochastic number of coincidences
sip = stgen.single_interaction_process(n=self.n,
t_stop=self.t_stop,
rate=self.rate,
rate_c=self.rate_c,
coincidences='stochastic',
return_coinc=False)
# Check the output types
self.assertEqual(type(sip), list)
self.assertEqual(type(sip[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(sip[0].simplified.units, 1000 * ms)
def test_sip(self):
# Generate an example SIP mode
sip, coinc = stgen.single_interaction_process(
n=self.n, t_stop=self.t_stop, rate=self.rate,
rate_c=self.rate_c, return_coinc=True)
# Check the output types
self.assertEqual(type(sip), list)
self.assertEqual(type(sip[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(type(coinc[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(sip[0].simplified.units, 1000*ms)
self.assertEqual(coinc[0].simplified.units, 1000*ms)
# Check the output length
self.assertEqual(len(sip), self.n)
self.assertEqual(
len(coinc[0]), (self.rate_c*self.t_stop).rescale(dimensionless))
# Generate an example SIP mode giving a list of rates as imput
sip, coinc = stgen.single_interaction_process(
t_stop=self.t_stop, rate=self.rates,
rate_c=self.rate_c, return_coinc=True)
# Check the output types
self.assertEqual(type(sip), list)
self.assertEqual(type(sip[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(type(coinc[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(sip[0].simplified.units, 1000*ms)
self.assertEqual(coinc[0].simplified.units, 1000*ms)
# Check the output length
self.assertEqual(len(sip), self.n)
self.assertEqual(
len(coinc[0]), (self.rate_c*self.t_stop).rescale(dimensionless))
# Generate an example SIP mode stochastic number of coincidences
sip = stgen.single_interaction_process(
n=self.n, t_stop=self.t_stop, rate=self.rate,
rate_c=self.rate_c, coincidences='stochastic', return_coinc=False)
# Check the output types
self.assertEqual(type(sip), list)
self.assertEqual(type(sip[0]), neo.core.spiketrain.SpikeTrain)
self.assertEqual(sip[0].simplified.units, 1000*ms)