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Generations.py
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Generations.py
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from Generation import Generation
from Network import Network
class Generations:
def __init__(self, neuro_options):
self.gens = []
self.neuro_options = neuro_options
self.current_generation = Generation(self.neuro_options)
def first_generation(self):
out = []
network = self.neuro_options.options['network']
for i in range(self.neuro_options.options['population']):
# Generate the Network and save it.
nn = Network(self.neuro_options)
nn.perceptron_generation(network[0], network[1], network[2])
out.append(nn.get_save())
self.gens.append(Generation(self.neuro_options))
return out
def next_generation(self):
if len(self.gens) == 0:
# Need to create first generation.
return False
last_generation = self.gens[len(self.gens) - 1]
gen = last_generation.generate_next_generation()
self.gens.append(Generation(self.neuro_options))
return gen
def add_genome(self, genome):
# Can't add to a Generation if there are no Generations.
if len(self.gens) == 0:
return False
self.gens[len(self.gens) - 1].add_genome(genome)