def test_network_contains_nodes(self):
n1 = Node()
self.assertTrue(n1.id in self.network)
self.assertTrue(n1 in self.network.values())
n2 = Node()
self.assertTrue(n1.id in self.network)
self.assertTrue(n1 in self.network.values())
def test_get_node(self):
n1 = Node()
n2 = Node()
gn1 = self.network.get(n1.id)
self.assertEqual(gn1, n1)
gn2 = self.network.get(n2.id)
self.assertEqual(gn2, n2)
def test_list_proximate_node_locations(self):
n1 = Node()
pl = n1._proximate_locations(1)
self.assertTrue((-1, 1, -1) in pl)
self.assertTrue((-1, 1, 0) in pl)
self.assertTrue((-1, 1, 1) in pl)
self.assertTrue((0, 1, -1) in pl)
self.assertTrue((0, 1, 0) in pl)
self.assertTrue((0, 1, 1) in pl)
self.assertTrue((1, 1, -1) in pl)
self.assertTrue((1, 1, 0) in pl)
self.assertTrue((1, 1, 1) in pl)
self.assertTrue((-1, 0, -1) in pl)
self.assertTrue((-1, 0, 0) in pl)
self.assertTrue((-1, 0, 1) in pl)
self.assertTrue((0, 0, -1) in pl)
self.assertTrue((0, 0, 1) in pl)
self.assertTrue((1, 0, -1) in pl)
self.assertTrue((1, 0, 0) in pl)
self.assertTrue((1, 0, 1) in pl)
self.assertTrue((-1, -1, -1) in pl)
self.assertTrue((-1, -1, 0) in pl)
self.assertTrue((-1, -1, 1) in pl)
self.assertTrue((0, -1, -1) in pl)
self.assertTrue((0, -1, 0) in pl)
self.assertTrue((0, -1, 1) in pl)
self.assertTrue((1, -1, -1) in pl)
self.assertTrue((1, -1, 0) in pl)
self.assertTrue((1, -1, 1) in pl)
self.assertTrue((0, 0, 0) not in pl)
def test_network_get(self):
n1 = Node()
n2 = Node()
self.assertEqual(n1, self.network.get(n1.id, 'NOT_FOUND'))
self.assertEqual(n2, self.network.get(n2.id, 'NOT_FOUND'))
self.assertEqual('NOT_FOUND',
self.network.get(uuid.uuid1(), 'NOT_FOUND'))
def test_len_network(self):
self.assertEqual(len(self.network), 0)
n1 = Node()
self.assertEqual(len(self.network), 1)
n2 = Node()
self.assertEqual(len(self.network), 2)
self.network.clear()
self.assertEqual(len(self.network), 0)
def test_consume_from_synapse(self):
s = Synapse(Node())
s.add_data({'S1': 10, 'S2': 20, 123: 20})
self.assertTrue(s.has_signal('S1'))
c = s.consume(str)
_reward(10)
self.assertEqual(c, {'S1': 1, 'S2': 1})
c = s.consume(str)
_reward(10)
self.assertEqual(c, {'S1': 1, 'S2': 1})
c = s.consume(str)
_reward(10)
self.assertEqual(c, {'S1': 1, 'S2': 2})
c = s.consume(str)
_reward(10)
self.assertEqual(c, {'S1': 1, 'S2': 2})
c = s.consume(str)
_reward(10)
self.assertEqual(c, {'S1': 1, 'S2': 3})
c = s.consume(str)
_reward(10)
self.assertEqual(c, {'S1': 1, 'S2': 4})
c = s.consume(str)
_reward(10)
self.assertEqual(c, {'S1': 2, 'S2': 4})
c = s.consume(str)
_reward(10)
self.assertEqual(c, {'S1': 2, 'S2': 3})
c = s.consume(str)
_reward(10)
self.assertEqual(c, None)
def test_add_to_synapse(self):
s = Synapse(Node())
self.assertFalse(s.has_signal('S1'))
self.assertEqual(0, s.intensity('S1'))
s.add('S1', 10)
self.assertTrue(s.has_signal('S1'))
self.assertEqual(10, s.intensity('S1'))
def test_add_data_to_synapse(self):
s = Synapse(Node())
self.assertFalse(s.has_signal('S1'))
self.assertEqual(0, s.intensity('S1'))
self.assertFalse(s.has_signal('S2'))
self.assertEqual(0, s.intensity('S2'))
s.add_data({'S1': 10, 'S2': 20})
self.assertTrue(s.has_signal('S1'))
self.assertEqual(10, s.intensity('S1'))
self.assertTrue(s.has_signal('S2'))
self.assertEqual(20, s.intensity('S2'))
def test_age_synapse(self):
s = Synapse(Node())
s.add_data({'S1': 10, 'S2': 20})
s.age()
self.assertEqual({'S1': 5, 'S2': 10}, s.data)
s.age()
self.assertEqual({'S1': 2, 'S2': 5}, s.data)
s.age()
self.assertEqual({'S1': 1, 'S2': 2}, s.data)
s.age()
self.assertEqual({'S2': 1}, s.data)
s.age()
self.assertEqual({}, s.data)
def test_join(self):
n1 = Node()
n2 = Node()
self.assertEqual(0, len(n1.outputs))
self.assertEqual(0, len(n2.inputs))
n1.join(n2)
self.assertEqual(1, len(n1.outputs))
self.assertEqual(1, len(n2.inputs))
self.assertEqual(n1.outputs[0].node, n2)
self.assertEqual(n1.outputs[0], n2.inputs[0])
n1.join(n2)
self.assertEqual(1, len(n1.outputs))
self.assertEqual(1, len(n2.inputs))
self.assertEqual(n1.outputs[0].node, n2)
self.assertEqual(n1.outputs[0], n2.inputs[0])
def test_network_is_iterable(self):
n1 = Node()
n2 = Node()
for key in self.network:
self.assertTrue(key in _nodes)
def test_clear_network(self):
n1 = Node()
n2 = Node()
self.assertGreater(len(self.network), 0)
self.network.clear()
self.assertEqual(len(self.network), 0)
def test_synapse_node_has_synapse_input(self):
n = Node()
s = Synapse(n)
self.assertTrue(s in n.inputs)
def test_network_values(self):
n1 = Node()
n2 = Node()
self.assertTrue(n1 in self.network.values())
self.assertTrue(n2 in self.network.values())
def test_network_keys(self):
n1 = Node()
n2 = Node()
self.assertTrue(n1.id in self.network.keys())
self.assertTrue(n2.id in self.network.keys())
def test_network_contains(self):
n1 = Node()
n2 = Node()
self.assertTrue(n1.id in self.network)
self.assertTrue(n2.id in self.network)
def test_new_node_has_location(self):
n1 = Node()
self.assertEqual(n1.loc, (0, 0, 0))
def test_network_is_subscriptable(self):
n1 = Node()
n2 = Node()
self.assertEqual(n1, self.network[n1.id])
self.assertEqual(n2, self.network[n2.id])
def test_new_node_has_unique_id(self):
n1 = Node()
self.assertIsNotNone(n1.id)
n2 = Node()
self.assertIsNotNone(n2.id)
self.assertNotEqual(n1.id, n2.id)