def test_with_n_larger_than_population_size_no_self_connections(self):
C = connectors.FixedNumberPreConnector(n=7,
allow_self_connections=False,
rng=MockRNG(delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p2, self.p2, C, syn)
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),
(4, 1, 0.0, 0.123),
(4, 1, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(2, 1, 0.0, 0.123),
(0, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(4, 3, 0.0, 0.123),
(4, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123),
])
def test_with_replacement_no_self_connections(self):
C = connectors.FixedNumberPreConnector(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)
self.assertEqual(
prj.get(["weight", "delay"], format='list', gather=False
), # use gather False because we are faking the MPI
[ #(2, 0, 0.0, 0.123), # [2, 3, 4] --> [2, 3, 4]
#(3, 0, 0.0, 0.123),
#(4, 0, 0.0, 0.123),
(0, 1, 0.0, 0.123), # [0, 1, 2] --> [0, 3, 2]
#(1, 1, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(2, 1, 0.0, 0.123),
#(4, 2, 0.0, 0.123), # [4, 0, 1] --> [4, 0, 1]
#(0, 2, 0.0, 0.123),
#(1, 2, 0.0, 0.123),
(2, 3, 0.0, 0.123), # [2, 3, 4] --> [2, 0, 4]
#(3, 3, 0.0, 0.123),
(0, 3, 0.0, 0.123),
(4, 3, 0.0, 0.123),
])
def test_with_replacement_with_neuron_0_connecting_neuron_0(self, sim=sim):
n = random.RandomDistribution('binomial', (5, 0.5), rng=MockRNG3())
C = connectors.FixedNumberPreConnector(
n=n, with_replacement=True, rng=MockRNG(start=0, delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p1, self.p2, C, syn)
self.assertEqual(prj.get(["weight", "delay"], format='list'),
[(0, 0, 0.0, 0.123),
])
def test_with_n_smaller_than_population_size(self, sim=sim):
C = connectors.FixedNumberPreConnector(n=3, rng=MockRNG(delta=1))
syn = sim.StaticSynapse(weight="0.1*d")
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
[(3, 1, 0.2, 0.123),
(2, 1, 0.1, 0.123),
(1, 1, 0.0, 0.123),
(3, 3, 0.0, 0.123),
(2, 3, 0.1, 0.123),
(1, 3, 0.2, 0.123), ])
def test_no_replacement_parallel_unsafe(self):
C = connectors.FixedNumberPreConnector(n=3, with_replacement=False, rng=MockRNG(delta=1, parallel_safe=False))
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
[(3, 1, 0.0, 0.123),
(2, 1, 0.0, 0.123),
(1, 1, 0.0, 0.123),
(3, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(1, 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, 4)
C = connectors.FixedNumberPreConnector(n=n, with_replacement=True, 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, 0, 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),
(1, 3, 0.0, 0.123)])
def test_with_n_smaller_than_population_size(self):
C = connectors.FixedNumberPreConnector(n=3)
C.progressbar = Mock()
C.progression = Mock()
assert self.prj.rng is not None
self.prj.post.local_cells = [
MockCell(n) for n in self.prj.post.local_cells
]
C.connect(self.prj)
assert_equal(self.prj.connections, [(17, 80, 0.0, MIN_DELAY),
(18, 80, 0.0, MIN_DELAY),
(19, 80, 0.0, MIN_DELAY),
(17, 82, 0.0, MIN_DELAY),
(18, 82, 0.0, MIN_DELAY),
(19, 82, 0.0, MIN_DELAY)])
def test_with_replacement(self, sim=sim):
C = connectors.FixedNumberPreConnector(n=3, with_replacement=True, 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, 0, 0.0, 0.123),
#(1, 0, 0.0, 0.123),
#(2, 0, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(0, 1, 0.0, 0.123),
(1, 1, 0.0, 0.123),
#(2, 2, 0.0, 0.123),
#(3, 2, 0.0, 0.123),
#(0, 2, 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_replacement(self, sim=sim):
C = connectors.FixedNumberPreConnector(n=3, with_replacement=True, rng=MockRNG(delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p1, self.p2, C, syn)
self.assertEqual(prj.get(["weight", "delay"], format='list'),
[(0, 0, 0.0, 0.123),
(1, 0, 0.0, 0.123),
(2, 0, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(0, 1, 0.0, 0.123),
(1, 1, 0.0, 0.123),
(2, 2, 0.0, 0.123),
(3, 2, 0.0, 0.123),
(0, 2, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(3, 3, 0.0, 0.123),
(0, 4, 0.0, 0.123),
(1, 4, 0.0, 0.123),
(2, 4, 0.0, 0.123), ])
def test_with_n_larger_than_population_size_no_self_connections(self, sim=sim):
C = connectors.FixedNumberPreConnector(
n=7, allow_self_connections=False, rng=MockRNG(delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p2, self.p2, C, syn)
self.assertEqual(prj.get(["weight", "delay"], format='list'),
[(1, 0, 0.0, 0.123),
(2, 0, 0.0, 0.123),
(3, 0, 0.0, 0.123),
(4, 0, 0.0, 0.123),
(4, 0, 0.0, 0.123),
(3, 0, 0.0, 0.123),
(2, 0, 0.0, 0.123),
(0, 1, 0.0, 0.123),
(2, 1, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(4, 1, 0.0, 0.123),
(4, 1, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(2, 1, 0.0, 0.123),
(0, 2, 0.0, 0.123),
(1, 2, 0.0, 0.123),
(3, 2, 0.0, 0.123),
(4, 2, 0.0, 0.123),
(4, 2, 0.0, 0.123),
(3, 2, 0.0, 0.123),
(1, 2, 0.0, 0.123),
(0, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(4, 3, 0.0, 0.123),
(4, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(0, 4, 0.0, 0.123),
(1, 4, 0.0, 0.123),
(2, 4, 0.0, 0.123),
(3, 4, 0.0, 0.123),
(3, 4, 0.0, 0.123),
(2, 4, 0.0, 0.123),
(1, 4, 0.0, 0.123)])
def test_no_replacement_parallel_unsafe(self, sim=sim):
C = connectors.FixedNumberPreConnector(
n=3, with_replacement=False, rng=MockRNG(delta=1, parallel_safe=False))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p1, self.p2, C, syn)
self.assertEqual(prj.get(["weight", "delay"], format='list'),
[(3, 0, 0.0, 0.123),
(2, 0, 0.0, 0.123),
(1, 0, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(2, 1, 0.0, 0.123),
(1, 1, 0.0, 0.123),
(3, 2, 0.0, 0.123),
(2, 2, 0.0, 0.123),
(1, 2, 0.0, 0.123),
(3, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(3, 4, 0.0, 0.123),
(2, 4, 0.0, 0.123),
(1, 4, 0.0, 0.123), ])
def test_no_replacement_no_self_connections(self, sim=sim):
C = connectors.FixedNumberPreConnector(n=3, with_replacement=False,
allow_self_connections=False, rng=MockRNG(start=2, delta=1))
syn = sim.StaticSynapse()
prj = sim.Projection(self.p2, self.p2, C, syn)
self.assertEqual(prj.get(["weight", "delay"], format='list'),
[(4, 0, 0.0, 0.123),
(3, 0, 0.0, 0.123),
(2, 0, 0.0, 0.123),
(4, 1, 0.0, 0.123),
(3, 1, 0.0, 0.123),
(2, 1, 0.0, 0.123),
(4, 2, 0.0, 0.123),
(3, 2, 0.0, 0.123),
(1, 2, 0.0, 0.123),
(4, 3, 0.0, 0.123),
(2, 3, 0.0, 0.123),
(1, 3, 0.0, 0.123),
(3, 4, 0.0, 0.123),
(2, 4, 0.0, 0.123),
(1, 4, 0.0, 0.123)])
def test_with_n_smaller_than_population_size(self, sim=sim):
C = connectors.FixedNumberPreConnector(n=3, rng=MockRNG(delta=1))
syn = sim.StaticSynapse(weight="0.1*d")
prj = sim.Projection(self.p1, self.p2, C, syn)
rec = prj.get(["weight", "delay"], format='list')
assert_array_almost_equal([list(r) for r in rec],
[(3, 0, 0.3, 0.123),
(2, 0, 0.2, 0.123),
(1, 0, 0.1, 0.123),
(3, 1, 0.2, 0.123),
(2, 1, 0.1, 0.123),
(1, 1, 0.0, 0.123),
(3, 2, 0.1, 0.123),
(2, 2, 0.0, 0.123),
(1, 2, 0.1, 0.123),
(3, 3, 0.0, 0.123),
(2, 3, 0.1, 0.123),
(1, 3, 0.2, 0.123),
(3, 4, 0.1, 0.123),
(2, 4, 0.2, 0.123),
(1, 4, 0.3, 0.123)])
