def test___add__two(self, sim=sim):
# adding two population views should give an Assembly
pv1 = sim.Population(6, sim.IF_curr_exp())[2, 3, 5]
pv2 = sim.Population(17, sim.IF_cond_exp())[4, 2, 16]
assembly = pv1 + pv2
self.assertIsInstance(assembly, sim.Assembly)
self.assertEqual(assembly.populations, [pv1, pv2])
def test___add__two(self, sim=sim):
# adding two populations should give an Assembly
p1 = sim.Population(6, sim.IF_curr_exp())
p2 = sim.Population(17, sim.IF_cond_exp())
assembly = p1 + p2
self.assertIsInstance(assembly, sim.Assembly)
self.assertEqual(assembly.populations, [p1, p2])
def test_get_multiple_params_no_gather(self, sim=sim):
sim.simulator.state.num_processes = 2
sim.simulator.state.mpi_rank = 1
p1 = sim.Population(
4,
sim.IF_cond_exp(tau_m=12.3,
tau_syn_E=[0.987, 0.988, 0.989, 0.990],
i_offset=lambda i: -0.2 * i))
p2 = sim.Population(
3,
sim.IF_curr_exp(tau_m=12.3,
tau_syn_E=[0.991, 0.992, 0.993],
i_offset=lambda i: -0.2 * (i + 4)))
a = p1 + p2
tau_syn_E, tau_m, i_offset = a.get(('tau_syn_E', 'tau_m', 'i_offset'),
gather=False)
self.assertIsInstance(tau_m, float)
self.assertIsInstance(tau_syn_E, np.ndarray)
assert_array_equal(tau_syn_E, np.array([0.988, 0.990, 0.992]))
self.assertEqual(tau_m, 12.3)
assert_array_almost_equal(i_offset,
np.array([
-0.2,
-0.6,
-1.0,
]),
decimal=12)
sim.simulator.state.num_processes = 1
sim.simulator.state.mpi_rank = 0
def test_get_positions(self, sim=sim):
p = sim.Population(11, sim.IF_curr_exp())
ppos = numpy.random.uniform(size=(3, 11))
p._positions = ppos
pv = sim.PopulationView(parent=p, selector=slice(3, 9, 2))
assert_array_equal(pv.positions,
numpy.array([ppos[:, 3], ppos[:, 5], ppos[:, 7]]).T)
def test_all_iterator(self, sim=sim):
p1 = sim.Population(11, sim.IF_cond_exp())
p2 = sim.Population(6, sim.IF_cond_alpha())
p3 = sim.Population(3, sim.IF_curr_exp())
a = sim.Assembly(p1, p2, p3)
assert hasattr(a.all(), "next") or hasattr(a.all(), "__next__") # 2nd form is for Py3
ids = list(a.all())
self.assertEqual(ids, p1.all_cells.tolist() + p2.all_cells.tolist() + p3.all_cells.tolist())
def test_conductance_based(self):
p1 = sim.Population(11, sim.IF_cond_exp())
p2 = sim.Population(6, sim.IF_cond_alpha())
p3 = sim.Population(3, sim.IF_curr_exp())
a1 = sim.Assembly(p1, p2)
a2 = sim.Assembly(p1, p3)
self.assertTrue(a1.conductance_based)
self.assertFalse(a2.conductance_based)
def test__homogeneous_synapses(self):
p1 = sim.Population(11, sim.IF_cond_exp())
p2 = sim.Population(6, sim.IF_cond_alpha())
p3 = sim.Population(3, sim.IF_curr_exp())
a1 = sim.Assembly(p1, p2)
a2 = sim.Assembly(p1, p3)
self.assertTrue(a1._homogeneous_synapses)
self.assertFalse(a2._homogeneous_synapses)
def test___add__three(self, sim=sim):
# adding three populations should give an Assembly
p1 = sim.Population(6, sim.IF_curr_exp())
p2 = sim.Population(17, sim.IF_cond_exp())
p3 = sim.Population(9, sim.HH_cond_exp())
assembly = p1 + p2 + p3
self.assertIsInstance(assembly, sim.Assembly)
self.assertEqual(assembly.populations, [p1, p2, p3])
def test___add__three(self, sim=sim):
# adding three population views should give an Assembly
pv1 = sim.Population(6, sim.IF_curr_exp())[0:3]
pv2 = sim.Population(17, sim.IF_cond_exp())[1, 5, 14]
pv3 = sim.Population(9, sim.HH_cond_exp())[3:8]
assembly = pv1 + pv2 + pv3
self.assertIsInstance(assembly, sim.Assembly)
self.assertEqual(assembly.populations, [pv1, pv2, pv3])
def test__non_homogeneous_synapses(self, sim=sim):
p1 = sim.Population(11, sim.IF_cond_exp())
p3 = sim.Population(3, sim.IF_curr_exp())
a2 = sim.Assembly(p1, p3)
self.assertFalse(a2._homogeneous_synapses)
def test_iter(self, sim=sim):
p = sim.Population(6, sim.IF_curr_exp())
itr = p.__iter__()
assert hasattr(itr, "next") or hasattr(itr, "__next__")
self.assertEqual(len(list(itr)), 6)
def test_iter(self, sim=sim):
p = sim.Population(33, sim.IF_curr_exp())
pv = p[1, 5, 6, 8, 11, 12]
itr = pv.__iter__()
assert hasattr(itr, "next") or hasattr(itr, "__next__")
self.assertEqual(len(list(itr)), 6)
