def test_connect_with_standard_text_file_not_distributed(self):
numpy.savetxt("test.connections", self.connection_list)
C = connectors.FromFileConnector("test.connections", distributed=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
[(0, 1, 0.5, 0.14),
(2, 3, 0.3, 0.12)])
def test_connect_with_standard_text_file_distributed(self):
local_connection_list = [
c for c in self.connection_list if c[1] % 2 == 1
]
numpy.savetxt("test.connections.1", local_connection_list)
C = connectors.FromFileConnector("test.connections", distributed=True)
C.connect(self.prj)
assert_equal(self.prj.connections, [(17, 80, 0.5, 0.14),
(19, 82, 0.3, 0.12)])
def test_connect_with_standard_text_file_not_distributed(self):
numpy.savetxt("test.connections", self.connection_list)
C = connectors.FromFileConnector("test.connections", distributed=False)
C.connect(self.prj)
assert_equal(self.prj.connections, [(17, 79, 0.1, 0.1),
(17, 80, 0.5, 0.14),
(19, 82, 0.3, 0.12),
(19, 81, 0.4, 0.13),
(20, 79, 0.2, 0.11)])
def test_connect_with_standard_text_file_not_distributed(self, sim=sim):
np.savetxt("test.connections", self.connection_list)
C = connectors.FromFileConnector("test.connections", distributed=False)
syn = sim.StaticSynapse()
prj = sim.Projection(self.p1, self.p2, C, syn)
self.assertEqual(prj.get(["weight", "delay"], format='list'),
[(0, 0, 0.1, 0.1),
(3, 0, 0.2, 0.11),
(0, 1, 0.5, 0.14),
(2, 2, 0.4, 0.13),
(2, 3, 0.3, 0.12)])
def test_with_plastic_synapses_not_distributed(self, sim=sim):
connection_list = [
(0, 0, 0.1, 0.1, 100, 100),
(3, 0, 0.2, 0.11, 110, 99),
(2, 3, 0.3, 0.12, 120, 98), # local
(2, 2, 0.4, 0.13, 130, 97),
(0, 1, 0.5, 0.14, 140, 96), # local
]
file = recording.files.StandardTextFile("test.connections.2", mode='wb')
file.write(connection_list, {"columns": ["i", "j", "weight", "delay", "U", "tau_rec"]})
C = connectors.FromFileConnector("test.connections.2", distributed=False)
syn = sim.TsodyksMarkramSynapse(tau_facil=88.8)
prj = sim.Projection(self.p1, self.p2, C, syn)
self.assertEqual(prj.get(["weight", "delay", "U", "tau_rec", "tau_facil"], format='list', gather=False), # use gather False because we are faking the MPI
[(0, 1, 0.5, 0.14, 140.0, 96.0, 88.8),
(2, 3, 0.3, 0.12, 120.0, 98.0, 88.8)])
