def eval_genome(genomes, config):
nets = []
snakes = []
ge = []
food = fd.Food()
for genome_id, genome in genomes:
genome.fitness = 0
net = neat.nn.FeedForwardNetwork.create(genome, config)
nets.append(net)
snakes.append(snk.Snake('NEAT'))
ge.append(genome)
pygame.init()
fpsClock = pygame.time.Clock()
for i in range(len(snakes)):
while snakes[i].state == 'alive' and snakes[i].nb_moves < 200:
ge[i].fitness = snakes[i].score
relative_directions = const.RELATIVE_POSITIONS_DICTIONARY[str(snakes[i].direction)]
#list relative to the current direction ['FORWARD', 'LEFT', 'RIGHT']
inputs = generate_inputs(snakes[i], food.position, relative_directions)
output = nets[i].activate(inputs) # output in the form [FORWARD, LEFT, RIGHT]
decision_index = output.index(max(output))
move = relative_directions[decision_index]
graphics.initiateGraphics()
snakes[i].move()
food.isEaten(snakes[i], food)
snakes[i].chooseDirection(move)
graphics.updateGraphics(snakes[i], food, fpsClock, const.FPS)
elif event.type == KEYDOWN:
if event.key == K_n:
fps -= 5
if event.key == K_m:
fps += 5
#initiate graphics
graphics.initiateGraphics()
#The function choose_move() from the naiveAlgorithm script returns the calculated next move
snake.chooseDirection(NA.choose_move(snake, food.position))
#print(BT.find_path(snake, food.position, last_moves))
#print(BT.is_food_around(snake, food.position))
#the snake takes the next the next position
snake.move()
#for each iteration we check if the snake and the food collided
food.isEaten(snake, food)
#the graphics are updated and the frame rate is controlled
graphics.updateGraphics(snake, food, fpsClock, fps)
#log results into xml file
datalogger.logAverageScore('Naive1.2-g')
pygame.quit()
sys.exit()