if distance_x <= 150 and not time2:
time2 = time.time()
speeds.append(
((distance1 - distance_x) / 150) / (time2 - time1))
time2 = 0
if len(speeds) > 10:
speed = mean(speeds)
speeds.clear()
length = scanner.obstacle_length(distance_x)
distance_y1, distance_y2 = scanner.obstacle_height(
distance_x, length)
game.set_state(distance_x, distance_y1, length, speed)
game.activate_brain()
if game.brain_output <= .45:
game.press_down()
elif game.brain_output >= .55:
game.press_up()
else:
game.release_all_keys()
else:
if genetic_algorithm.train_mode:
if not game.stopped:
if genetic_algorithm.generation.current_individual.has_experience(
):
genetic_algorithm.generation.current_individual.save_score(
