def test_with_n_larger_than_population_size_no_self_connections(self, sim=sim):
C = connectors.FixedNumberPostConnector(
n=7, allow_self_connections=False, rng=MockRNG(delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p2, self.p2, C, syn)
# connections as follows: (pre - list of post)
# 0 - 1 2 3 4 4 3 2
# 1 - 0 2 3 4 4 3 2
# 2 - 0 1 3 4 4 3 1
# 3 - 0 1 2 4 4 2 1
# 4 - 0 1 2 3 3 2 1
self.assertEqual(prj.get(["weight", "delay"], format='list', gather=False), # use gather False because we are faking the MPI
[(0, 1, 0.0, 0.123),
(2, 1, 0.0, 0.123),
(2, 1, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(4, 1, 0.0, 0.123),
(4, 1, 0.0, 0.123),
(0, 3, 0.0, 0.123),
(0, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(4, 3, 0.0, 0.123),
(4, 3, 0.0, 0.123), ])
def test_with_n_smaller_than_population_size(self):
C = connectors.FixedNumberPostConnector(n=3, rng=MockRNG(delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p1, self.p2, C, syn)
self.assertEqual(prj.get(["weight", "delay"], format='list', gather=False), # use gather False because we are faking the MPI
[(0, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(3, 3, 0.0, 0.123),])
def test_with_n_smaller_than_population_size(self, sim=sim):
C = connectors.FixedNumberPostConnector(n=3, rng=MockRNG(delta=1))
syn = sim.StaticSynapse(weight="0.5*d")
prj = sim.Projection(self.p1, self.p2, C, syn)
# MockRNG.permutation(arr) returns the reverse of arr, so each pre neuron will connect to neurons 4, 3, 2
# however, only neuron 3 is on the "local" (fake MPI) node
self.assertEqual(prj.get(["weight", "delay"], format='list', gather=False), # use gather False because we are faking the MPI
[(0, 3, 1.5, 0.123),
(1, 3, 1.0, 0.123),
(2, 3, 0.5, 0.123),
(3, 3, 0.0, 0.123)])
def test_with_n_larger_than_population_size(self, sim=sim):
C = connectors.FixedNumberPostConnector(n=7, rng=MockRNG(delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p1, self.p2, C, syn)
# each pre neuron will connect to all post neurons (population size 5 is less than n), then to 4, 3 (MockRNG.permutation)
self.assertEqual(
prj.get(["weight", "delay"], format='list', gather=False
), # use gather False because we are faking the MPI
[(0, 1, 0.0, 0.123), (1, 1, 0.0, 0.123), (2, 1, 0.0, 0.123),
(3, 1, 0.0, 0.123), (0, 3, 0.0, 0.123), (0, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123), (1, 3, 0.0, 0.123), (2, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123), (3, 3, 0.0, 0.123), (3, 3, 0.0, 0.123)])
def test_with_replacement_with_variable_n(self, sim=sim):
n = random.RandomDistribution('binomial', (5, 0.5), rng=MockRNG(start=1, delta=2))
# should give (1, 3, 0, 2)
C = connectors.FixedNumberPostConnector(n=n, with_replacement=True, rng=MockRNG(delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p1, self.p2, C, syn)
# 0 - 0
# 1 - 1 2 3
# 2 -
# 3 - 4 0
self.assertEqual(prj.get(["weight", "delay"], format='list', gather=False), # use gather False because we are faking the MPI
[(1, 1, 0.0, 0.123),
(1, 3, 0.0, 0.123)])
def test_with_replacement(self, sim=sim):
C = connectors.FixedNumberPostConnector(n=3, with_replacement=True, rng=MockRNG(delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p1, self.p2, C, syn)
# 0 - 0 1 2
# 1 - 3 4 0
# 2 - 1 2 3
# 3 - 4 0 1
self.assertEqual(prj.get(["weight", "delay"], format='list', gather=False), # use gather False because we are faking the MPI
[(0, 1, 0.0, 0.123),
(2, 1, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123)])
def test_with_replacement_no_self_connections(self, sim=sim):
C = connectors.FixedNumberPostConnector(n=3, with_replacement=True,
allow_self_connections=False, rng=MockRNG(start=2, delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p2, self.p2, C, syn)
# 0 - 2 3 4
# 1 - 0 2 3
# 2 - 4 0 1
# 3 - 2 4 0
# 4 - 1 2 3
self.assertEqual(prj.get(["weight", "delay"], format='list', gather=False), # use gather False because we are faking the MPI
[(2, 1, 0.0, 0.123),
(4, 1, 0.0, 0.123),
(0, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(4, 3, 0.0, 0.123)])
def test_with_n_smaller_than_population_size(self):
C = connectors.FixedNumberPostConnector(n=3)
C.progressbar = Mock()
C.progression = Mock()
assert self.prj.rng is not None
C.connect(self.prj)
# FixedNumberPost does not currently filter out only local connections
assert_equal(self.prj.connections, [(17, 79, 0.0, MIN_DELAY),
(17, 80, 0.0, MIN_DELAY),
(17, 81, 0.0, MIN_DELAY),
(18, 79, 0.0, MIN_DELAY),
(18, 80, 0.0, MIN_DELAY),
(18, 81, 0.0, MIN_DELAY),
(19, 79, 0.0, MIN_DELAY),
(19, 80, 0.0, MIN_DELAY),
(19, 81, 0.0, MIN_DELAY),
(20, 79, 0.0, MIN_DELAY),
(20, 80, 0.0, MIN_DELAY),
(20, 81, 0.0, MIN_DELAY)])
