def test_scopes():
print '\bs.',
net = network.simple()
scopes = net.scopes()
for c in net.graph.root.children:
assert scopes[net.graph.root] == scopes[c] == set([0,1])
assert False not in [len(scopes[n]) == 1 if n.is_distribution() else len(scopes[n]) == 2 for n in net.pot]
def test_save_load():
print '\bsl.',
net1 = network.simple()
for n in net1.pot:
if n.is_sum():
n.set_weights(rand(len(n.weights)))
elif n.is_categorical():
n.set_masses(rand(len(n.masses)))
network.save(net1, 'tmp.spn')
net2 = network.load('tmp.spn')
assert len(net1.pot) == len(net2.pot)
for i in range(len(net1.pot)):
assert id(net1.pot[i]) != id(net2.pot[i])
for d in [(0,0), (0,1), (1,0), (1,1)]:
assert net1.forward(d) == net2.forward(d)
def test_pot():
print '\bp.',
net = network.simple()
assert len(net.pot) == 7
net.pot = None
assert len(net.pot) == 7