本文整理汇总了Python中statemachine.StateMachine.think方法的典型用法代码示例。如果您正苦于以下问题：Python StateMachine.think方法的具体用法？Python StateMachine.think怎么用？Python StateMachine.think使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类statemachine.StateMachine的用法示例。
在下文中一共展示了StateMachine.think方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: AnimatedGameEntity
# 需要导入模块: from statemachine import StateMachine [as 别名]
# 或者: from statemachine.StateMachine import think [as 别名]
class AnimatedGameEntity(GameEntity):
def __init__(self, startCoordinates, name=''):
GameEntity.__init__(self, startCoordinates, name)
self.frameNumber = 1
self.imageFrame = 0
self.frameTime = 0.
self.animationSpeed = 0.5 + randint(-3, 3) / 10.0
self.frameWidth = 0
self.speed = 0
self.width = self.height = 0
self.brain = StateMachine()
self.actionQueue = []
def set_image(self, image, frameNumber=1):
self.image = image
self.frameNumber = frameNumber
self.frameWidth = self.image.get_width() / self.frameNumber
self.width, self.height = self.image.get_size()
def render(self, surface, offset):
surface.blit(self.image,
(self.location.x - offset[0], self.location.y - offset[1]),
(self.frameWidth * self.imageFrame, 0, self.frameWidth, self.height))
def adjustPosition(self, dimension):
self.location.x = min(self.location.x, dimension[0] - 20)
self.location.x = max(self.location.x, 10)
self.location.y = min(self.location.y, dimension[1] - 20)
self.location.y = max(self.location.y, 10)
def handleAction(self, action):
raise NotImplementedError, 'Entity %s cannot handle Action %s' % (self.name, action)
def process(self, time_passed):
self.frameTime += time_passed
if self.frameTime > self.animationSpeed:
self.frameTime = 0.
self.imageFrame = (self.imageFrame + 1) % self.frameNumber
if self.speed > 0. and self.location != self.destination:
vec_to_destination = self.destination - self.location
distance_to_destination = vec_to_destination.get_magnitude()
heading = vec_to_destination.get_normalized()
travel_distance = min(distance_to_destination, time_passed * self.speed)
self.location += heading * travel_distance
if self.actionQueue:
action = self.actionQueue.pop()
self.handleAction(action)
else:
self.brain.think()