本文整理汇总了Python中actor.Actor.stats["result"]方法的典型用法代码示例。如果您正苦于以下问题：Python Actor.stats["result"]方法的具体用法？Python Actor.stats["result"]怎么用？Python Actor.stats["result"]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actor.Actor的用法示例。
在下文中一共展示了Actor.stats["result"]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: spawn
# 需要导入模块: from actor import Actor [as 别名]
# 或者: from actor.Actor import stats["result"] [as 别名]
def spawn(self, time, dt):
''' get appropriate spawn rate '''
current_hour = self.spawner.get_hour()
spawn_rate = self.spawn_rate[current_hour]
elapsed_hour_part = dt / 3600
''' spawn or not '''
if elapsed_hour_part*spawn_rate >= random.random():
''' weighted random pick type '''
type_dict_at_current_hour = [(key,value["spawn_percentage"][current_hour]) for key, value in self.actor_attributes.iteritems()]
actor_type = wr.choice(type_dict_at_current_hour)
''' get size '''
size_choices = [(ix*0.5, el) for ix, el in enumerate(self.actor_attributes[actor_type]["size_distribution"])]
size = wr.choice(size_choices)
''' get target building (and nearest nodes to it):'''
building_choices = [(building.geom, building.propabilities[actor_type]) for building in self.spawner.simulation.building_manager.buildings if building.propabilities[actor_type]]
building = self.weighted_pick(building_choices) #needs float picking functionality
nearest_nodes_to_building = [n["nid"] for n in self.spawner.simulation.spatial_db.nodes.find({"pos": {"$near": [building.x, building.y]}}).limit(2) if n["nid"] != self.node_id]
target_node_id = random.choice(nearest_nodes_to_building)
target_location = building
''' get full path '''
full_path = self.spawner.simulation.router.full_path(self.node_id, target_node_id)
# if full path is empty (if the target node is the source node) do not spawn)
if full_path == []:
print "path is empty!"
return False
''' get parking time of actor '''
park_time_choices = [(ix, el) for ix, el in enumerate(self.actor_attributes[actor_type]["parking_time"])]
parking_time = wr.choice(park_time_choices)*3600 + random.randint(0,1800)
''' specify actor params '''
params = {
"size": size,
"color": self.actor_attributes[actor_type]["color"],
"name": self.actor_attributes[actor_type]["name"],
"forbidden_lot_types": self.actor_attributes[actor_type]["forbidden_lot_types"],
"pos": self.node_pos,
"rot": 0,
"speed": 0,
"target_speed": 10,
"target_location": target_location,
"source_node": self.node_id,
"target_node": target_node_id,
"parking_start_time": None,
"parking_time": parking_time,
"parking_size": size + 2 * random.random(),
"max_search_time": random.gauss(600, 200),
"search_tolerance": random.gauss(100, 50),
"init_time": self.spawner.simulation.current_time,
"technology": wr.choice([(None, 80), ("reserve", 20)])
}
''' add actor to the actor manager object. maybe this could be done more elegantly '''
actr = Actor(self.spawner.simulation.actor_manager, self.spawner.simulation.router, params)
self.spawner.simulation.actor_manager.add(actr)
self.spawned +=1
''' non public parking options '''
if actr.params["name"] == "residential":
if random.random() < 0.3:
actr.stats["result"] = "private_parking"
actr.has_private_parking()
elif actr.params["name"] == "shopping":
if random.random() < 0.3:
actr.stats["result"] = "parking_garage"
actr.has_private_parking()
elif actr.params["name"] == "visiting":
if random.random() < 0.1:
actr.stats["result"] = "private_parking"
actr.has_private_parking()
elif actr.params["name"] == "working":
if random.random() < 0.8:
actr.stats["result"] = "company_parking"
actr.has_private_parking()