def spawn(self):
"""Spawn Individual instances"""
# Construction of the neural network
neural_network = NeuralNetwork(
nb_inter_neuron=self.nb_inter_neuron(),
memory_size=self.memory_size(),
)
nb_neuron_type = neural_network.nb_neuron_type
random.nid = lambda: (random.randint(NeuralNetwork.MINIMAL_NEURON_ID,
neural_network.nb_neuron))
random.eid = lambda: (random.nid(), random.nid())
neural_network.build(
edges=(random.eid() for _ in range(self.nb_edges())),
neuron_types=(self.random_neuron_type() for _ in range(nb_neuron_type))
)
# Spawn of the individual itself
return Individual(
neural_network=neural_network,
energy=10,
)
def spawn(self):
"""Spawn Individual instances"""
# Construction of the neural network
neural_network = NeuralNetwork(
nb_inter_neuron=self.nb_inter_neuron(),
memory_size=self.memory_size(),
)
nb_neuron_type = neural_network.nb_neuron_type
random.nid = lambda: (random.randint(NeuralNetwork.MINIMAL_NEURON_ID,
neural_network.nb_neuron))
random.eid = lambda: (random.nid(), random.nid())
neural_network.build(edges=(random.eid()
for _ in range(self.nb_edges())),
neuron_types=(self.random_neuron_type()
for _ in range(nb_neuron_type)))
# Spawn of the individual itself
return Individual(
neural_network=neural_network,
energy=10,
)
def test_nothing_to_clean(self):
nn = 'neuron(1,i). neuron(2,o). edge(1,2). output(2).'
self.assert_cleaning(nn, NeuralNetwork.cleaned(nn))
self.assert_cleaning(nn, 'neuron(1,i) neuron(2,o) edge(1,2) output(2)')
def test_simple_clean(self):
nn = 'neuron(1,i). neuron(2,i). neuron(3,o). output(3). edge(1,3). edge(1,2).'
self.assert_cleaning(nn, NeuralNetwork.cleaned(nn))
self.assert_cleaning(nn, 'neuron(1,i) neuron(3,o) edge(1,3) output(3)')
def test_no_atoms(self):
nn = ''
self.assert_cleaning(nn, NeuralNetwork.cleaned(nn))
self.assert_cleaning(nn, '')
def test_nothing_to_clean(self):
nn = 'neuron(1,i). neuron(2,o). edge(1,2). output(2).'
self.assert_cleaning(nn, NeuralNetwork.cleaned(nn))
self.assert_cleaning(nn, 'neuron(1,i) neuron(2,o) edge(1,2) output(2)')
def test_simple_clean(self):
nn = 'neuron(1,i). neuron(2,i). neuron(3,o). output(3). edge(1,3). edge(1,2).'
self.assert_cleaning(nn, NeuralNetwork.cleaned(nn))
self.assert_cleaning(nn, 'neuron(1,i) neuron(3,o) edge(1,3) output(3)')
def test_no_atoms(self):
nn = ''
self.assert_cleaning(nn, NeuralNetwork.cleaned(nn))
self.assert_cleaning(nn, '')
