def test_transitions_fixed_sized(self):
"""
``transitions`` should raise an error if ``net`` is fixed sized and
``size`` is not ``None``
"""
with self.assertRaises(ValueError):
transitions(MockFixedSizedNetwork, size=3)
def test_transitions_not_fixed_sized(self):
"""
``transitions`` should raise an error if ``net`` is not fixed sized
and ``size`` is ``None``
"""
with self.assertRaises(ValueError):
transitions(ECA(30), size=None)
def test_transitions_eca_encoded(self):
"""
test ``transitions`` on ECAs; encoding the states
"""
rule30 = ECA(30)
got = transitions(rule30, size=1, encode=True)
self.assertEqual([0, 0], got)
got = transitions(rule30, size=2, encode=True)
self.assertEqual([0, 1, 2, 0], got)
got = transitions(rule30, size=3, encode=True)
self.assertEqual([0, 7, 7, 1, 7, 4, 2, 0], got)
def test_transitions_eca(self):
"""
test ``transitions`` on ECAs; encoding the states
"""
rule30 = ECA(30)
got = transitions(rule30, size=1)
self.assertEqual([[0], [0]], got)
got = transitions(rule30, size=2)
self.assertEqual([[0, 0], [1, 0], [0, 1], [0, 0]], got)
got = transitions(rule30, size=3)
self.assertEqual([[0, 0, 0], [1, 1, 1], [1, 1, 1], [1, 0, 0],
[1, 1, 1], [0, 0, 1], [0, 1, 0], [0, 0, 0]], got)
def test_transitions_logicnetwork_encoded(self):
"""
test `transitions` on `LogicNetwork`s, states encoded
"""
net = LogicNetwork([((1, ), {'0', '1'}), ((0, ), {'1'})])
got = transitions(net, encode=True)
self.assertEqual([1, 3, 1, 3], got)
def test_transitions_logicnetwork(self):
"""
test `transitions` on `LogicNetwork`s
"""
net = LogicNetwork([((1, ), {'0', '1'}), ((0, ), {'1'})])
got = transitions(net)
self.assertEqual([[1, 0], [1, 1], [1, 0], [1, 1]], got)
def test_transitions_wtnetwork_encoded(self):
"""
test ``transitions`` on WTNetworks; encoding the states
"""
net = WTNetwork(weights=[[1, 0], [-1, 1]],
thresholds=[0.5, 0.0],
theta=WTNetwork.positive_threshold)
got = transitions(net, encode=True)
self.assertEqual([2, 1, 2, 3], got)
def test_transitions_wtnetwork(self):
"""
test ``transitions`` on WTNetworks
"""
net = WTNetwork(weights=[[1, 0], [-1, 1]],
thresholds=[0.5, 0.0],
theta=WTNetwork.positive_threshold)
got = transitions(net)
self.assertEqual([[0, 1], [1, 0], [0, 1], [1, 1]], got)
def test_transitions_not_network(self):
"""
``transitions`` should raise a type error if ``net`` is not a network
"""
with self.assertRaises(TypeError):
transitions(MockObject(), 5)