def test_attractors():
params = Parameters(seed=4, cis_count=2, reg_channels=5, out_channels=2,
cue_channels=3,)
world = World(params)
factory = Factory(world)
net = factory.create_network()
alens = [len(a) for a in net.attractors]
print alens
print net.attractors_size
def test_network_pickle():
params = Parameters(seed=4, cis_count=2, reg_channels=5, out_channels=2,
cue_channels=3,)
world = World(params)
factory = Factory(world)
n1 = factory.create_network()
out = pickle.dumps(n1, -1)
n2 = pickle.loads(out)
for g1, g2 in zip(n1.genes, n2.genes):
assert g1.pub == g2.pub
for m1, m2 in zip(g1.modules, g2.modules):
assert m1.same_as(m2)
def test_neighbourhood():
# Note we use the PROGRESSIVE mutation as this guarantees a change!
params = Parameters(seed=4, cis_count=2, reg_channels=5, out_channels=2,
cue_channels=3, mutate_type=MutateType.PROGRESSIVE)
world = World(params)
const = Factory(world)
net = const.create_network()
base_bnd = get_binding_values(const, net)
# This should just take 1 step neighbours
nayb = NetworkNeighbourhood(net, 1000)
npformat = const.to_numpy(nayb.neighbours)
# Get all of the bindings out
bnd = npformat['binding']
for b in bnd:
# There should be just one difference!
assert (base_bnd != b.ravel()).sum() == 1
