def setUp(self):
nest.setup(max_delay=0.5)
nest.Population.nPop = 0
self.target33 = nest.Population((3, 3), nest.IF_curr_alpha)
self.target6 = nest.Population((6, ), nest.IF_curr_alpha)
self.source5 = nest.Population((5, ), nest.SpikeSourcePoisson)
self.source22 = nest.Population((2, 2), nest.SpikeSourcePoisson)
self.source33 = nest.Population((3, 3), nest.SpikeSourcePoisson)
def setUp(self):
nest.setup()
nest.Population.nPop = 0
self.net1 = nest.Population((10, ), nest.IF_curr_alpha)
self.net2 = nest.Population((2, 4, 3), nest.IF_curr_exp)
self.net3 = nest.Population((2, 2, 1), nest.SpikeSourceArray)
self.net4 = nest.Population((1, 2, 1), nest.SpikeSourceArray)
self.net5 = nest.Population((3, 3), nest.IF_cond_exp)
def testInitWithNonStandardModel(self):
"""Population.__init__(): should return a numpy array and give a default label."""
net = nest.Population((3, 3), 'iaf_neuron')
assert net.label == 'population0'
assert numpy.equal(net.cell,
numpy.array([[1, 2, 3], [4, 5, 6], [7, 8,
9]])).all()
def testSimpleInit(self):
"""Population.__init__(): should return a numpy array and give a default label."""
net = nest.Population((3, 3), nest.IF_curr_alpha)
# shouldn't really have two assertions in one test but I'm lazy
assert net.label == 'population0'
assert numpy.equal(net.cell,
numpy.array([[1, 2, 3], [4, 5, 6], [7, 8,
9]])).all()
def setUp(self):
nest.setup(max_delay=0.5)
nest.Population.nPop = 0
self.target33 = nest.Population((3, 3), nest.IF_curr_alpha)
self.target6 = nest.Population((6, ), nest.IF_curr_alpha)
self.source5 = nest.Population((5, ), nest.SpikeSourcePoisson)
self.source22 = nest.Population((2, 2), nest.SpikeSourcePoisson)
self.prjlist = []
self.distrib_Numpy = random.RandomDistribution(
rng=random.NumpyRNG(12345),
distribution='uniform',
parameters=(0.1, 0.5))
for tgtP in [self.target6, self.target33]:
for srcP in [self.source5, self.source22]:
for method in ('allToAll', 'fixedProbability'):
self.prjlist.append(
nest.Projection(srcP, tgtP, method,
{'p_connect': 0.5}))
def setUp(self):
nest.setup(max_delay=0.5)
nest.Population.nPop = 0
self.pop1 = nest.Population((5, ), nest.IF_curr_alpha, {'tau_m': 10.0})
self.pop2 = nest.Population((5, 4), nest.IF_curr_exp,
{'v_reset': -60.0})
def setUp(self):
nest.setup()
nest.Population.nPop = 0
self.pop1 = nest.Population((3, 3), nest.SpikeSourcePoisson,
{'rate': 20.})
self.pop2 = nest.Population((3, 3), nest.IF_curr_alpha)
def setUp(self):
nest.setup()
nest.Population.nPop = 0
self.net = nest.Population((3, 3), nest.IF_curr_alpha)
self.net2 = nest.Population((5, ), 'iaf_neuron')
def testInitWithLabel(self):
"""Population.__init__(): A label set on initialisation should be retrievable with the Population.label attribute."""
net = nest.Population((3, 3), nest.IF_curr_alpha, label='iurghiushrg')
assert net.label == 'iurghiushrg'
def testInitWithParams(self):
"""Population.__init__(): Parameters set on creation should be the same as retrieved with getDict()"""
net = nest.Population((3, 3), nest.IF_curr_alpha,
{'tau_syn_E': 3.141592654})
ifcell_params = nest.pynest.getDict([net.cell[0, 0]])
assert ifcell_params[0]['TauSynE'] == 3.141592654
