问题描述
我正在Tech的Tim指导下使用整洁的方式制作flappyBird游戏，并在Bird Class内创建了self.type，这意味着Bird可以通过键盘输入或整洁的类进行控制，但是在上一代完成后出现此错误：
C:/Users/papadi166/Documents/MEGAsync/AppDev/FlappyBird/main.py:185: DeprecationWarning: an integer is required (got type float). Implicit conversion to integers using __int__ is deprecated,and may be removed in a future version of Python.
new_rect = rotated_image.get_rect(center = image.get_rect(topleft = topleft).center)
Traceback (most recent call last):
File "C:/Users/papadi166/Documents/MEGAsync/AppDev/FlappyBird/main.py",line 393,in <module>
run(config_path,genome_path="dict.pickle")
File "C:/Users/papadi166/Documents/MEGAsync/AppDev/FlappyBird/main.py",line 364,in run
winner = p.run(main,2)
File "C:\Users\papadi166\PycharmProjects\FlappyBird\venv\lib\site-packages\neat\population.py",line 99,in run
if best is None or g.fitness > best.fitness:
TypeError: '>' not supported between instances of 'nonetype' and 'float'
Process finished with exit code 1
self.population = fitness_function(list(iteritems(self.population)),self.config)
self.species.species[1].members = self.population
完成一代后，我收到此错误： 如果best为None或g.fitness> best.fitness： TypeError：'nonetype'和'float'实例之间不支持'>'
我了解加载的获胜者对象有问题，但是我不知道如何在代码中修复该问题。
class Bird:
IMGS = BIRD_IMGS
P_IMGS = PLAYER_BIRD_IMGS
MAX_ROTATION = 25
ROT_VEL = 20
ANIMATION_TIME = 5
def __init__(self,x,y,t):
self.x = x
self.y = y
self.tilt = 0
self.tick_count = 0
self.vel = 0
self.height = self.y
self.img_count = 0
self.p_img = self.P_IMGS[0]
self.img = self.IMGS[0]
self.type = t
def jump(self):
self.vel = -10.5
self.tick_count = 0
self.height = self.y
def move(self):
self.tick_count +=1
d = self.vel * (self.tick_count) + 0.5 * (3) * (self.tick_count)**2
if d >= 16:
d = (d/abs(d)) * 16
if d < 0:
d -= 2
self.y = self.y + d
if d < 0 or self.y < self.height + 50:
if self.tilt < self.MAX_ROTATION:
self.tilt = self.MAX_ROTATION
else:
if self.tilt > -90:
self.tilt -= self.ROT_VEL
def draw(self,win):
self.img_count += 1
if self.type == 0:
if self.img_count < self.ANIMATION_TIME:
self.img = self.IMGS[0]
elif self.img_count < self.ANIMATION_TIME*2:
self.img = self.IMGS[1]
elif self.img_count < self.ANIMATION_TIME*3:
self.img = self.IMGS[2]
elif self.img_count < self.ANIMATION_TIME*4:
self.img = self.IMGS[1]
elif self.img_count < self.ANIMATION_TIME*4 + 1:
self.img = self.IMGS[0]
self.img_count = 0
if self.tilt <= -80:
self.img = self.IMGS[1]
self.img_count = self.ANIMATION_TIME*2
blitRotateCenter(win,self.img,(self.x,self.y),self.tilt)
if self.type == 1:
if self.img_count < self.ANIMATION_TIME:
self.img = self.P_IMGS[0]
elif self.img_count < self.ANIMATION_TIME * 2:
self.img = self.P_IMGS[1]
elif self.img_count < self.ANIMATION_TIME * 3:
self.img = self.P_IMGS[2]
elif self.img_count < self.ANIMATION_TIME * 4:
self.img = self.P_IMGS[1]
elif self.img_count < self.ANIMATION_TIME * 4 + 1:
self.img = self.P_IMGS[0]
self.img_count = 0
if self.tilt <= -80:
self.img = self.P_IMGS[1]
self.img_count = self.ANIMATION_TIME * 2
blitRotateCenter(win,self.p_img,self.tilt)
def get_mask(self):
if self.type == 0:
return pygame.mask.from_surface(self.img)
elif self.type == 1:
return pygame.mask.from_surface(self.p_img)
def main(genomes,config):
"""
We need to keep track of neural network that controls each bird,because these genomes when they come in
are really just a bunch of neural networks that are gonna control each of our birds,I need to keep track of the bird
that that neural networks controlling so where that position is in the screen and I need to keep track of our genomes so
that I actually change their fitness based on you kNow for they move or if they hit a pipe or if they do all this stuff
so i do three lists to do this maybe not the most efficient way but should work fine
"""
global GEN
GEN += 1
nets = []
birds = []
ge = []
# Change bird = Bird(230,350) to
x = 0
for _,g in genomes:
if (x < len(genomes) -1) :
net = neat.nn.FeedForwardNetwork.create(g,config)
nets.append(net)
birds.append(Bird(230,350,0))
g.fitness = 0
ge.append(g)
x += 1
if (x == len(genomes) -1):
net = neat.nn.FeedForwardNetwork.create(g,1))
g.fitness = 0
ge.append(g)
x += 1
base = Base(730)
pipes = [Pipe(600)]
win = pygame.display.set_mode((WIN_WIDTH,WIN_HEIGHT))
run = True
clock = pygame.time.Clock()
score = 0
while run:
clock.tick(30)
for event in pygame.event.get():
if event.type == pygame.QUIT:
run = False
pygame.quit()
quit()
if event.type == pygame.KEYDOWN:
if event.key == pygame.K_SPACE:
for bird in birds:
if bird.type == 1:
bird.jump()
pipe_ind = 0
if len(birds) > 0:
if len(pipes) > 1 and birds[0].x > pipes[0].x + pipes[0].PIPE_TOP.get_width():
pipe_ind = 1
else:
run = False
break
for x,bird in enumerate(birds):
bird.move()
ge[x].fitness += 0.1
output = nets[x].activate((bird.y,abs(bird.y - pipes[pipe_ind].height),abs(bird.y - pipes[pipe_ind].bottom)))
if output[0] > 0.5:
if bird.type != 1:
bird.jump()
#bird.move()
add_pipe = False
rem = []
for pipe in pipes:
for x,bird in enumerate(birds):
# indent only this collision if becouse the rest of code don't have to be running at this for loop.
if pipe.collide(bird):
ge[x].fitness -= 1 # Every time a bird hits a pipe is gonna have one removed from its fitness score
birds.pop(x)
nets.pop(x)
ge.pop(x)
#Change bird.x to birds[0]... OR NOT.. better put that function into this for loop,because mian will runs 50 times so caling birds[0] 50 times isn't.. IDK. Efficient?
if not pipe.passed and pipe.x < bird.x:
pipe.passed = True
add_pipe = True
if pipe.x + pipe.PIPE_TOP.get_width() < 0:
rem.append(pipe)
pipe.move()
if add_pipe:
score += 1
for g in ge:
g.fitness += 5
pipes.append(Pipe(700))
for r in rem:
pipes.remove(r)
for x,bird in enumerate(birds):
if bird.y + bird.img.get_height() >= 730 or bird.y < 0:
birds.pop(x)
nets.pop(x)
ge.pop(x)
base.move()
draw_window(win,birds,pipes,base,score,GEN)
if score >= 50:
for x,bird in enumerate(birds):
# indent only this collision if becouse the rest of code don't have to be running at this for loop.
ge[x].fitness -= 1 # Every time a bird hits a pipe is gonna have one removed from its fitness score
birds.pop(x)
nets.pop(x)
ge.pop(x)
def run(config_path,genome_path="dict.pickle"):
import pickle
genomes = []
# Load the configuration
config = neat.config.Config(neat.DefaultGenome,neat.DefaultReproduction,neat.DefaultSpeciesSet,neat.DefaultStagnation,config_path)
# Setup population
p = neat.Population(config)
#Set the output that we gonna see
p.add_reporter(neat.StdOutReporter(True))
stats = neat.StatisticsReporter()
p.add_reporter(stats)
# Set the fitness funnction ( This func. runs main func. 50 times and pass it all of the genoms so like that population current generation populations )
winner = p.run(main,2)
with open("dict.pickle","wb") as infile:
pickle.dump(winner,infile)
infile.close()
# Unpickle saved winner
with open(genome_path,"rb") as infile:
genome = pickle.load(infile)
# Convert loaded genome into required data structure
genomes = [(1,genome)]
type = "test"
# Call game with only the loaded genome
main(genomes,config)
print("LOL")
if __name__ == '__main__':
local_dir = os.path.dirname(__file__)
config_path = os.path.join(local_dir,"config-Feedforward.txt")
run(config_path,genome_path="dict.pickle")
解决方法
暂无找到可以解决该程序问题的有效方法，小编努力寻找整理中！
如果你已经找到好的解决方法，欢迎将解决方案带上本链接一起发送给小编。
小编邮箱:dio#foxmail.com (将#修改为@）