def test_libcsa_cgnext(self):
"""cgnext"""
nest.ResetKernel()
w = 10000.0
d = 1.0
cs = libcsa.cset(libcsa.oneToOne, w, d)
nest.sli_push(cs)
nest.sli_run('dup')
nest.sli_push(numpy.array([0, 1, 2, 3]))
nest.sli_push(numpy.array([0, 1, 2, 3]))
nest.sli_run('cgsetmask')
nest.sli_run('dup')
nest.sli_run('cgstart')
for i in range(4):
nest.sli_run('dup')
nest.sli_run('cgnext')
self.assertEqual(nest.sli_pop(), True)
self.assertEqual(nest.sli_pop(), d)
self.assertEqual(nest.sli_pop(), w)
self.assertEqual(nest.sli_pop(), i)
self.assertEqual(nest.sli_pop(), i)
nest.sli_run('cgnext')
self.assertEqual(nest.sli_pop(), False)
def test_libcsa_cgnext(self):
"""cgnext"""
nest.ResetKernel()
w = 10000.0
d = 1.0
cs = libcsa.cset(libcsa.oneToOne, w, d)
nest.sli_push(cs)
nest.sli_run('dup')
nest.sli_push(numpy.array([0, 1, 2, 3]))
nest.sli_push(numpy.array([0, 1, 2, 3]))
nest.sli_run('cgsetmask')
nest.sli_run('dup')
nest.sli_run('cgstart')
for i in range(4):
nest.sli_run('dup')
nest.sli_run('cgnext')
self.assertEqual(nest.sli_pop(), True)
self.assertEqual(nest.sli_pop(), d)
self.assertEqual(nest.sli_pop(), w)
self.assertEqual(nest.sli_pop(), i)
self.assertEqual(nest.sli_pop(), i)
nest.sli_run('cgnext')
self.assertEqual(nest.sli_pop(), False)
def test_libcsa_OneToOne_params(self):
"""One-to-one connectivity"""
nest.ResetKernel()
n = 4 # number of neurons
pop0 = nest.LayoutNetwork("iaf_neuron", [n])
pop1 = nest.LayoutNetwork("iaf_neuron", [n])
cs = libcsa.cset(libcsa.oneToOne, 10000.0, 1.0)
nest.CGConnect(pop0, pop1, cs, {"weight": 0, "delay": 1})
sources = nest.GetLeaves(pop0)[0]
targets = nest.GetLeaves(pop1)[0]
for i in range(n):
conns = nest.GetStatus(
nest.FindConnections([sources[i]]), 'target')
self.assertEqual(len(conns), 1)
self.assertEqual(conns[0], targets[i])
conns = nest.GetStatus(
nest.FindConnections([targets[i]]), 'target')
self.assertEqual(len(conns), 0)
def test_libcsa_OneToOne_params(self):
"""One-to-one connectivity"""
nest.ResetKernel()
n = 4 # number of neurons
pop0 = nest.LayoutNetwork("iaf_neuron", [n])
pop1 = nest.LayoutNetwork("iaf_neuron", [n])
cs = libcsa.cset(libcsa.oneToOne, 10000.0, 1.0)
nest.CGConnect(pop0, pop1, cs, {"weight": 0, "delay": 1})
sources = nest.GetLeaves(pop0)[0]
targets = nest.GetLeaves(pop1)[0]
for i in range(n):
conns = nest.GetStatus(nest.FindConnections([sources[i]]),
'target')
self.assertEqual(len(conns), 1)
self.assertEqual(conns[0], targets[i])
conns = nest.GetStatus(nest.FindConnections([targets[i]]),
'target')
self.assertEqual(len(conns), 0)
