def test_population_rset(self):
import pyhmf as pynn
pynn.setup()
p = pynn.Population(123, pynn.EIF_cond_exp_isfa_ista)
r1, r2 = pynn.NativeRNG(0), pynn.NativeRNG(0)
d1 = pynn.RandomDistribution("uniform", [-55.0, -50.0])
d2 = pynn.RandomDistribution("uniform", [-55.0, -50.0])
p.rset("v_reset", d1)
assert_array_equal(p.get("v_reset"), d2.next(len(p)))
def test_distribution_clip(self):
import pyhmf as pynn
pynn.setup()
r = pynn.NativeRNG(0)
d = pynn.RandomDistribution("uniform", [0.0, 25.0], r, (12.5, 12.5), "clip")
assert_array_equal(d.next(100), numpy.ones(100) * 12.5)
def test_normaldistribution(self):
import pyhmf as pynn
pynn.setup()
mean = 42.0
std = 3.3
r = pynn.NativeRNG(10)
d = pynn.RandomDistribution("normal", [mean, std])
data = d.next(100000)
self.assertAlmostEqual(numpy.mean(data), mean, places=1)
self.assertAlmostEqual(numpy.std(data), std, places=1)
def test_distribution_redraw(self):
import pyhmf as pynn
pynn.setup()
r = pynn.NativeRNG(0)
d = pynn.RandomDistribution("uniform", [0.0, 25.0], r, (5.0, 20.0), "redraw")
data = d.next(260)
self.assertLessEqual(max(data), 20.0)
self.assertGreaterEqual(min(data), 5.0)
data2 = data[data <= 5.0]
data2 = data2[data2 >= 20]
self.assertEqual(len(data2), 0)
def test_init_random(self):
size = random.randint(2, 10)**2
seed = 1337
pynn_dist = pynn.RandomDistribution(distribution='uniform',
rng=NativeRNGProxy(seed))
pyhmf_dist = pyhmf.RandomDistribution(distribution='uniform',
rng=pyhmf.NativeRNG(seed))
numpy.testing.assert_almost_equal(
self.construct_with_backend(pynn, size, pynn_dist),
self.construct_with_backend(pyhmf, size, pyhmf_dist))
def test_projection(self):
path = tempfile.mkstemp()[1]
size_a = random.randint(1, 100)
size_b = random.randint(1, 100)
dist = pyhmf.RandomDistribution(rng=pyhmf.NativeRNG(1337))
conn_pyhmf = pyhmf.AllToAllConnector(weights=dist, delays=42)
proj_pyhmf = pyhmf.Projection(
pyhmf.Population(size_a, pyhmf.IF_cond_exp),
pyhmf.Population(size_b, pyhmf.IF_cond_exp),
conn_pyhmf)
proj_pyhmf.saveConnections(getattr(pyhmf, self.file_type)(path, 'w'))
conn_pynn = pynn.FromFileConnector(getattr(pynn.recording.files, self.file_type)(path))
proj_pynn = pynn.Projection(
pynn.Population(size_a, pynn.IF_cond_exp),
pynn.Population(size_b, pynn.IF_cond_exp),
conn_pynn)
numpy.testing.assert_equal(proj_pyhmf.getWeights(format='array'), proj_pynn.getWeights(format='array'))
