def setUp(self) -> None:
self.brain_pop = [brains.NeuralBrain(None) for _ in range(10)]
self.window = gui.GameWindow(width=config.width, height=config.height)
self.t = gui.DrawingTrack(window=self.window,
batch=self.window.fixed_batch,
track_json=load.tracks[0])
def single_experiment_drawn(self):
window = gui.GameWindow(width=config.width, height=config.height)
t = gui.DrawingTrack(window=window,
batch=window.fixed_batch,
track=self.track_json)
e = experiment.DrawnExperiment(window=window,
batch=window.new_activity_batch(),
track=t,
brain_pop=self.population)
window.activity = e.step
window.start()
del window
results = e.experiment_results()
print("Fitness results" + "\n".join([{x[0]} + "-" + {x[1]}
for x in results]))
def evolution_drawn(self):
generations_to_run = input_with_conditions(
"Please input number of generations to evolve [1-500]", int,
[lambda x: x > 0, lambda x: x < 500])
window = gui.GameWindow(width=config.width,
height=config.height,
close_on_finish=False)
t = gui.DrawingTrack(window=window,
batch=window.fixed_batch,
track=self.track_json)
ev = evolution.DrawnEvolution(self.population,
t,
generations_to_run,
window,
genetics=self.genetics)
temp_population = ev.run()
save = input_with_conditions("Accept evolution results (y/n)", str,
[lambda x: x in ["y", "n"]])
save = True if save == "y" else False
if save:
self.population.clear()
self.population.extend(temp_population)