def testConnectWithProbability(self):
"""connect(): If p=0.5, it is very unlikely that either zero or the maximum number of connections should be created."""
connlist = nest.connect(self.precells, self.postcells, p=0.5)
assert 0 < len(connlist) < len(self.precells) * len(
self.postcells
), 'Number of connections is %d: this is very unlikely (although possible).' % len(
connlist)
def testConnectTwoCellsWithDelay(self):
"""connect(): Delay set should match delay retrieved."""
conn_id = nest.connect(self.precells[0],
self.postcells[0],
delay=4.321)
delay = nest.pynest.getDelay(nest.pynest.getAddress(self.precells[0]),
conn_id)
assert delay == 4.3, "Delay set does not match delay retrieved." # Note that delays are only stored to the precision of the timestep.
def testConnectTwoCellsWithWeight(self):
"""connect(): Weight set should match weight retrieved."""
conn_id = nest.connect(self.precells[0],
self.postcells[0],
weight=0.1234)
weight = nest.pynest.getWeight(
nest.pynest.getAddress(self.precells[0]), conn_id)
assert weight == 0.1234 * 1000, "Weight set does not match weight retrieved." # note that pyNN.nest uses nA for weights, whereas NEST uses pA
def testConnectOneToMany(self):
"""connect(): Connecting one source to n targets should return a list of target ports."""
connlist = nest.connect(self.precells[0], self.postcells)
assert connlist == [0, 1, 2]
def testConnectManyToOne(self):
"""connect(): Connecting n sources to one target should return a list of size n, each element being the target port."""
connlist = nest.connect(self.precells, self.postcells[0])
assert connlist == [0] * len(self.precells)
def testConnectTwoCells(self):
"""connect(): The first connection created should have id 0."""
conn = nest.connect(self.precells[0], self.postcells[0])
assert conn == 0, 'Error creating connection'
def testConnectManyToMany(self):
"""connect(): Connecting m sources to n targets should return a list of length m x n"""
connlist = nest.connect(self.precells, self.postcells)
assert connlist == [0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2]