def __init__(self, brain=None):
self.x = 50
self.y = h // 2
self.score = 0
self.fitness = 0
self.img = random.choice([bird_img1, bird_img2, bird_img3])
if brain:
self.brain = brain
else:
self.brain = network([4, 4, 2])
def __init__(self, layers=4, structure=[10, 10, 10, 10]):
self.factor = 20
self.brain = []
jumpx, jumpy = 0, 0
for _ in range(layers):
self.brain.append(network(structure, jumpx, jumpy))
jumpy += self.factor
if jumpy >= 320:
jumpy = 0
jumpx += self.factor
def __init__(self, head=False, x=w // 2, y=h // 2, brain=None):
self.x = x
self.y = y
self.side = 15
self.score = 1e-50
if brain != None:
self.brain = brain
else:
self.brain = network([5, 4, 4])
self.color = (0, 255, 0)
def __init__(self, rep):
self.x = random.randint(30, w - 20)
self.y = random.randint(30, h - 20)
self.rep = rep
self.position = np.array([self.x, self.y])
self.radius = 3
if rep == 1:
self.color = (255, 255, 0)
else:
self.color = (255, 0, 0)
self.brain = network([2, 2])
def __init__(self, brain=None):
self.x = width // 2
self.y = int(0.9956 * height)
self.change = 1
self.score = 0
self.bullet = Bullet(self.x, self.y)
if brain != None:
self.brain = brain
else:
self.brain = network([4, 10, 3])
self.img = pygame.image.load(rocket_image).convert_alpha()
def __init__(self,pos,col,len=60,width=25,brain=None,j=ch,y=random.randint(0,440)):
self.x=pos
self.y=y
self.width=width
self.len=len
self.color=col
self.displacement=j
if brain!=None:
self.brain=brain
else:
self.brain=network([1,4,3])
self.score=0.01
def __init__(self, pos, col, len=50, width=25, brain=None):
self.x = pos
self.y = random.randint(0, h - len)
self.width = width
self.len = 60
self.color = col
self.displacement = ch
if brain != None:
self.brain = brain
else:
self.brain = network([1, 4, 3])
self.score = 0.01
def __init__(self, brain=None):
self.x = random.randint(100, 300)
self.y = random.randint(100, 300)
self.position = np.array([self.x, self.y], dtype='float64')
self.radius = 10
self.score = 0
self.r, self.g, self.b = 0, 255, 0
self.color = (self.r, self.g, self.b)
if brain:
self.brain = brain
else:
self.brain = network([3, 3, 2])
self.velocity = np.random.uniform(0.1, 0.9, (2, ))
self.acceleration = np.array([0, 0], dtype='float64')
self.maxforce = 0.09
self.maxspeed = 0.09
self.factor = 5