def test_adding_node(self):
""" Tests adding node operation. """
# Setup
genome = Genome()
genome.initialize(3, 1)
genome_connections = genome.get_connections()
# List of enabled (respectively, disabled) connections only.
init_true_connections = list(
filter(lambda a: a.is_enabled() == True, genome_connections))
init_false_connections = list(
filter(lambda a: a.is_enabled() == False, genome_connections))
init_connections_length = len(genome_connections)
# Run
genome.add_node()
# Assert
self.assertTrue(
len(
list(
filter(lambda x: x.is_enabled() == True,
genome.get_connections()))),
len(init_true_connections) + 1)
self.assertTrue(
len(
list(
filter(lambda x: x.is_enabled() == False,
genome.get_connections()))),
len(init_false_connections) + 1)
self.assertEqual(len(genome.get_connections()),
init_connections_length + 2)
def test_setting_layers(self):
""" Tests correctness of layer formation operation. """
# Setup
genome = Genome()
genome.initialize(2, 1)
inputs = [1, 2]
outputs = [6]
connections = [
Connection(1, 5),
Connection(2, 5),
Connection(4, 6),
Connection(3, 6),
Connection(5, 4),
Connection(5, 3)
]
genome.input_nodes = inputs
genome.output_nodes = outputs
genome.connection_genes = connections
# Run
graph = Graph()
layers = graph.set_up_layers(genome.get_inputs(), genome.get_outputs(),
genome.get_connections())
# Assert
self.assertEqual(layers[0], {5}) # first non-input layer
self.assertEqual(layers[1], {3, 4}) # second non-input layer
self.assertEqual(layers[2], {6}) # output layer
def test_adding_connection(self):
""" Tests new connection addition operation. """
# Setup
genome = Genome()
genome.initialize(3, 2)
connections_new = [(1, 4), (1, 5), (2, 4), (3, 4)]
genome.connection_genes = [
Connection(a, b) for a, b in connections_new
]
# Run
connection = genome.add_connection()
# Verify
genome_connections = genome.get_connections()
self.assertEqual(len(genome_connections), len(connections_new) + 1)
self.assertTrue(
all([isinstance(c, Connection) for c in genome_connections]))
def test_crossover(self):
""" Tests crossover operation. Can only be verified manually. """
# Setup
genome1 = Genome()
genome1.initialize(3, 1)
genome2 = Genome()
genome2.initialize(3, 1)
connections = [
Connection(1, 5),
Connection(2, 5),
Connection(3, 5),
Connection(5, 4),
Connection(2, 4),
Connection(3, 4)
]
connections[0].weight = 2
connections[1].weight = 3
connections[2].weight = 4
connections[3].weight = 5
connections[4].weight = 6
connections[5].weight = 7
genome2.connection_genes = connections
genome1.add_score(25)
genome2.add_score(25)
# Run
offspring = crossover(genome1, genome2)
# Verify
genome1_connections = genome1.get_connections()
genome2_connections = genome2.get_connections()
offspring_connections = offspring.get_connections()
self.assertTrue(len(genome1_connections) + len(genome2_connections) >= len(offspring_connections))
def test_distance_function(self):
""" Tests the genome distance function
used for fitness normalization.
"""
# Setup
genome_a = Genome()
genome_b = Genome()
genome_a.initialize(3, 2)
genome_b.initialize(3, 2)
connections_new = [(1, 4), (2, 4), (1, 6), (2, 6), (3, 7), (6, 4),
(6, 5), (7, 5)]
genome_b.connection_genes = [
Connection(a, b) for a, b in connections_new
]
# Run
distance = genome_a.distance(genome_b)
# Verify
self.assertEqual(distance, (4, 6, 8)) # Manually calculated
def test_mutating_weight(self):
""" Tests connection weight mutation operation. """
# Setup
genome = Genome()
genome.initialize(3, 2)
genome_connections = deepcopy(genome.get_connections())
# Run
genome.mutate_connection_weights()
# Verify
self.assertEqual(len(genome_connections),
len(genome.get_connections()))
ok = False
for i, conn in enumerate(genome.get_connections()):
if (abs(genome_connections[i].get_weight() - conn.get_weight()) >=
0.000001):
ok = True
break
self.assertTrue(ok)
