def test_RemoveLink(self):
net = NeuralNet()
n1 = net.add_neuron()
n2 = net.add_neuron()
lnk = net.add_link(n1, n2)
self.assertTrue(len(net.Neurons) == 2)
self.assertTrue(len(n1.Incoming) == 0)
self.assertTrue(len(n1.Outgoing) == 1)
self.assertTrue(n1.Outgoing[0] == lnk)
self.assertTrue(len(n2.Incoming) == 1)
self.assertTrue(len(n2.Outgoing) == 0)
self.assertTrue(n2.Incoming[0] == lnk)
self.assertEqual(n1.is_connected_outgoing(n2), lnk)
self.assertEqual(n1.is_connected_incoming(n2), None)
self.assertEqual(n2.is_connected_outgoing(n1), None)
self.assertEqual(n2.is_connected_incoming(n1), lnk)
net.remove_link(lnk)
self.assertTrue(len(net.Neurons) == 2)
self.assertTrue(len(n1.Incoming) == 0)
self.assertTrue(len(n1.Outgoing) == 0)
self.assertTrue(len(n2.Incoming) == 0)
self.assertTrue(len(n2.Outgoing) == 0)
self.assertEqual(n1.is_connected_outgoing(n2), None)
self.assertEqual(n1.is_connected_incoming(n2), None)
self.assertEqual(n2.is_connected_outgoing(n1), None)
self.assertEqual(n2.is_connected_incoming(n1), None)
def test_CanCreateTwoLinksInOppositeDirection(self):
net = NeuralNet()
n1 = net.add_neuron()
n2 = net.add_neuron()
lnk1 = net.add_link(n1, n2)
lnk2 = net.add_link(n2, n1)
self.assertNotEqual(lnk1, lnk2)
def test_CantCreateTwoLinksInSameDirection(self):
net = NeuralNet()
n1 = net.add_neuron()
n2 = net.add_neuron()
lnk1 = net.add_link(n1, n2)
lnk2 = net.add_link(n1, n2)
self.assertEqual(lnk1, lnk2)
def test_CreateTwoSeparateDifferentSizedNetworks(self):
net1 = NeuralNet()
net1.add_neuron()
net1.add_neuron()
net2 = NeuralNet()
net2.add_neuron()
net2.add_neuron()
net2.add_neuron()
self.assertTrue(len(net1.Neurons) == 2)
self.assertTrue(len(net2.Neurons) == 3)
self.assertFalse(net1 == net2)
def test_LinkTwoNeurons(self):
net = NeuralNet()
n1 = net.add_neuron()
n2 = net.add_neuron()
lnk = net.add_link(n1, n2)
self.assertTrue(len(net.Neurons) == 2)
self.assertTrue(len(n1.Incoming) == 0)
self.assertTrue(len(n1.Outgoing) == 1)
self.assertTrue(n1.Outgoing[0] == lnk)
self.assertTrue(len(n2.Incoming) == 1)
self.assertTrue(len(n2.Outgoing) == 0)
self.assertTrue(n2.Incoming[0] == lnk)
self.assertEqual(n1.is_connected_outgoing(n2), lnk)
self.assertEqual(n1.is_connected_incoming(n2), None)
self.assertEqual(n2.is_connected_outgoing(n1), None)
self.assertEqual(n2.is_connected_incoming(n1), lnk)
def setUp(self):
self.net = net = NeuralNet()
# this should load a subnet, as a neuron
self.sub = net.add_subnet('test2', 'test2.pickle.xml')
# add neurons to our net to attach to the subnet's interface
self.in1 = net.add_neuron()
self.in2 = net.add_neuron()
self.out1 = net.add_neuron()
self.out2 = net.add_neuron()
def setUp(self):
self.net = net = NeuralNet()
self.sub = sub = net.add_subnet('test2', 'test2.pickle.xml')
self.in1 = net.add_neuron()
self.in2 = net.add_neuron()
self.out1 = net.add_neuron()
self.out2 = net.add_neuron()
net.add_link(self.in1, sub, 1.0)
net.add_link(self.in2, sub, -1.0)
net.add_link(sub, self.out1, 1.0)
net.add_link(sub, self.out2, 1.0)
def test_RemoveNeuronNoLinks(self):
net = NeuralNet()
n1 = net.add_neuron()
n2 = net.add_neuron()
self.assertTrue(len(net.Neurons) == 2)
net.remove_neuron(n2)
self.assertTrue(len(net.Neurons) == 1)
self.assertTrue(net.Neurons[0] == n1)
n2 = net.add_neuron()
self.assertTrue(len(net.Neurons) == 2)
net.remove_neuron(n1)
self.assertTrue(len(net.Neurons) == 1)
self.assertTrue(net.Neurons[0] == n2)
def setUp(self):
net = NeuralNet()
self.in1 = net.add_neuron()
self.in2 = net.add_neuron()
self.mid1 = net.add_neuron()
self.out1 = net.add_neuron()
self.out2 = net.add_neuron()
net.add_link(self.in1, self.mid1, 1.0)
net.add_link(self.in2, self.mid1, 1.0)
net.add_link(self.mid1, self.out1, 1.0)
net.add_link(self.mid1, self.out2, 1.0)
self.net = net
self.in1.Name = "input-1"
self.in2.Name = "input-2"
self.mid1.Name = "mid-1"
self.out1.Name = "output-1"
self.out2.Name = "output-2"
def setUp(self):
self.net = net = NeuralNet()
self.sub = net.add_subnet('test2', 'test2.pickle.xml')
# add neurons to our net to attach to the subnet's interface
self.in1 = net.add_neuron()
self.in2 = net.add_neuron()
self.out1 = net.add_neuron()
self.out2 = net.add_neuron()
# attach outer net to inner net
self.link1 = net.add_link(self.in1, self.sub)
self.link2 = net.add_link(self.in2, self.sub)
self.link3 = net.add_link(self.sub, self.out1)
self.link4 = net.add_link(self.sub, self.out2)
def setUp(self):
net = NeuralNet()
n1 = net.add_neuron()
n1.Name = "input"
n2 = net.add_neuron()
n2.Name = "output"
net.add_link(n1, n2)
self.net = net
def test_AddTwoNeuronsToNetwork(self):
net = NeuralNet()
net.add_neuron()
net.add_neuron()
self.assertTrue(len(net.Neurons) == 2)
def test_CreateNetwork(self):
net = NeuralNet()
self.assertTrue(net is not None)
def test_AddSubNetToNetwork(self):
net = NeuralNet()
net.add_subnet('test2', 'test2.pickle.xml')
self.assertTrue(len(net.Neurons) == 1)
def setUp(self):
net = NeuralNet()
self.in1 = net.add_neuron()
self.in2 = net.add_neuron()
self.mid1 = net.add_neuron()
self.out1 = net.add_neuron()
self.out2 = net.add_neuron()
net.add_link(self.in1, self.mid1, 1.0)
net.add_link(self.in2, self.mid1, -1.0)
net.add_link(self.mid1, self.out1, 1.0)
net.add_link(self.mid1, self.out2, 1.0)
self.net = net