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pathfinding.py
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290 lines (264 loc) · 12.1 KB
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from GoodToolPython.vector3d import Vector3D,Line3D,T_Vector
from GoodToolPython.tree import *
from enum import Enum, unique
from enum import Enum, unique
import operator
import os
class SpecialPoint:
"""带有特殊花费的点 非特殊点的花费均为1
模拟可以通过的障碍 但需要比一般格子更高的花费"""
def __init__(self,vecotr:T_Vector,cost=1):
assert isinstance(vecotr,Vector3D)
self.vector=vecotr
self.cost=cost
class RectMap:
"""
带障碍的方块地图
"""
@unique
class PointPosition(Enum):#任意点与map的关系 严格互斥
ValidPoint=0#不属于obstacle的内部点
OutPoint=1#外部点
Obstacle=2#障碍点
def __init__(self, W:int, H:int, special_points:list=[],obstacles=[]):
"""
:param W:
:param H: 宽高 取值是0~W-1\H-1
:param special_points: list of MapPoint 有特殊代价的地图点
"""
assert isinstance(special_points, list)
self.Width=W
self.Height=H
self.obstacles=obstacles
self.special_points=special_points
self.topline=Line3D(direction=Vector3D(1,0,0),point=Vector3D())#四条边线
self.bottomline = Line3D(direction=Vector3D(1,0, 0), point=Vector3D(0,H-1,0))
self.rightline=Line3D(direction=Vector3D(0,1, 0), point=Vector3D(W-1,0,0))
self.leftline = Line3D(direction=Vector3D(0, 1, 0), point=Vector3D(0, 0, 0))
self.top_left_point=Vector3D(0,0)#四个角点 使用gui的坐标系系统
self.top_right_point=Vector3D(W-1,0)
self.bottom_left_point=Vector3D(0,H-1)
self.bottom_right_point=Vector3D(W-1,H-1)
def get_neighbors_obstacles_ignored(self,nd:T_Vector)->list:
#获取所有的可用的相邻节点 忽略obstacles的限制:认为obstacle也可以通行
assert isinstance(nd, Vector3D)
#先判断是不是有效点
if self.judge_point_postion(nd) is not self.PointPosition.ValidPoint:
return []#不是有效点时返回空列表
# 先判断是不是角点
if nd == self.top_left_point:
return [Vector3D(1, 0), Vector3D(0, 1)]
elif nd == self.top_right_point:
return [Vector3D(self.Width - 1, 1), Vector3D(self.Width - 2, 0)]
elif nd == self.bottom_left_point:
return [Vector3D(1, self.Height - 1), Vector3D(0, self.Height - 2)]
elif nd == self.bottom_right_point:
return [Vector3D(self.Width - 2, self.Height - 1), Vector3D(self.Width - 1, self.Height - 2)]
# 在判断是不是边线点
if nd in self.topline:
return [nd + Vector3D(1, 0),
nd + Vector3D(-1, 0),
nd + Vector3D(0, 1)]
elif nd in self.bottomline:
return [nd + Vector3D(1, 0),
nd + Vector3D(-1, 0),
nd + Vector3D(0, -1)]
elif nd in self.leftline:
return [nd + Vector3D(1, 0),
nd + Vector3D(0, -1),
nd + Vector3D(0, 1)]
elif nd in self.rightline:
return [nd + Vector3D(-1, 0),
nd + Vector3D(0, -1),
nd + Vector3D(0, 1)]
# 在内部
return [nd + Vector3D(-1, 0),
nd + Vector3D(1, 0),
nd + Vector3D(0, 1),
nd + Vector3D(0, -1)]
def get_neighbors(self,nd:T_Vector)->list:
#获取所有的可用的相邻节点
assert isinstance(nd,Vector3D)
lst=self.get_neighbors_obstacles_ignored(nd)#忽略obstacle 选取可能的节点
return [x for x in lst if x not in self.obstacles]#删除掉obstacle中的点
def judge_point_postion(self,pt:T_Vector)->PointPosition:
#判断点与map位置关系
assert isinstance(pt,Vector3D)
if pt.x<0 or pt.x>self.Width-1 or pt.y <0 or pt.y>self.Height-1:#是不是外部点
return self.PointPosition.OutPoint
if pt in self.obstacles:#判断是不是障碍点
return self.PointPosition.Obstacle
return self.PointPosition.ValidPoint
# def __is_point_on_map(self,pt:T_Vector)->bool:
# #判断点是不是在地图上
# if self.judge_point_postion(pt) is in (self.PointPosition.InnerPoint,self.PointPosition.ob)
def get_cost(self,pt:T_Vector)->float:
#从相邻点走到这一点的花费
assert isinstance(pt,Vector3D)
assert self.judge_point_postion(pt) is self.PointPosition.ValidPoint#必须是有效点
for x in self.special_points:
if x.vector==pt:
return x.cost
return 1
def A_star_search_algorithm(map,start,goal):
"""
a星寻路算法:https://en.wikipedia.org/wiki/A*_search_algorithm
:param map:
:param start:
:param goal:
:return: list,总路程 失败时返回[],-1
"""
def estimate_distance(pt1,pt2):
#估算距离 采用直线距离 这里可以改用其他方法 寻路的效率受这个函数的影响
return (pt1-pt2).modulus
class NodeData:#当结构体用 挂载到Node的data变量上
def __init__(self,g,h,pt):
self.h=h
self.g=g
self.pt=pt
self.f=self.h+self.g
def __str__(self):
return "估计总耗费:%f,已耗费:%f,坐标点:%s"%(self.f,self.g,self.pt)
assert isinstance(map,RectMap)
assert isinstance(start,Vector3D)
assert isinstance(goal,Vector3D)
start_node=Node(rootNode,NodeData(g=0,
h=0,
pt=start))
tree=Tree(start_node)
active_node=start_node
dead_leafs=[]#记录走不下去的叶
while True:
# print("活动节点—%s"%active_node.data)
# os.system('pause')
#检查是否到达目的地
if active_node.data.pt==goal:#寻路成功
#寻找路
return tree.get_path(ancestor=start_node,descendent=active_node),active_node.data.f
neighbors=map.get_neighbors(active_node.data.pt)
tree_nodes=tree.get_nodes_below()
tree_nodes_data=[x.data.pt for x in tree_nodes]
neighbors=[x for x in neighbors if x not in tree_nodes_data]
if len(neighbors)==0:
dead_leafs.append(active_node)
# return [], -1 # 寻路失败
for nd in neighbors:
node_data=NodeData(g=active_node.data.g+map.get_cost(nd),#默认每走一步 花费加1
h=estimate_distance(nd,goal),# 估算花费
pt=nd)
# print(node_data)
# os.system('pause')
active_node.add_child(node_data)
#在leaf中寻找最短的节点
leafs=tree.get_leafs_below()
leafs=[x for x in leafs if x not in dead_leafs]
if len(leafs)==0:
return [],-1
# node_data_lst=[x.data for x in leafs]
# cmpfun = operator.attrgetter('f') # 参数为排序依据的属性,可以有多个,这里优先id,使用时按需求改换参数即可
leafs.sort(key=lambda x:x.data.f)
active_node=leafs[0]#更新active node
if __name__ == '__main__':
#测试
W=10
H=10
map=RectMap(W=W, H=H, obstacles=[])
assert len(map.get_neighbors(Vector3D(0,0)))==2
assert len(map.get_neighbors(Vector3D(W-1, 0))) == 2
assert len(map.get_neighbors(Vector3D(W-1, H-1))) == 2
assert len(map.get_neighbors(Vector3D(0, H-1))) == 2
assert len(map.get_neighbors(Vector3D(5,5)))==4
assert len(map.get_neighbors(Vector3D(0,5)))==3
assert len(map.get_neighbors(Vector3D(W-1, 5))) == 3
assert len(map.get_neighbors(Vector3D(5, 0))) == 3
assert len(map.get_neighbors(Vector3D(5, H-1))) == 3
W = 10
H = 10
map = RectMap(W=W, H=H, obstacles=[Vector3D(1, 0)])
assert len(map.get_neighbors_obstacles_ignored(Vector3D(0,0)))==2
assert len(map.get_neighbors(Vector3D(0,0)))==1
pt=Vector3D(1,0)
assert len(map.get_neighbors(pt)) == 0
pt = Vector3D(-1, 0)
assert len(map.get_neighbors(pt)) == 0
# for nd in map.get_neighbors_obstacles_ignored(Vector3D(0,0)):
# print(nd)
# print('_________')
# for nd in map.get_neighbors(Vector3D(0,0)):
# print(nd)
map = RectMap(W=3, H=3, obstacles=[Vector3D(1, 1), Vector3D(2, 1), Vector3D(0, 1)])
start = Vector3D(0, 0)
goal = Vector3D(2, 2)
path, f = A_star_search_algorithm(map=map,
start=start,
goal=goal)
assert f==-1
map = RectMap(W=3, H=3, obstacles=[])
start = Vector3D(0, 0)
goal = Vector3D(2, 2)
path, f = A_star_search_algorithm(map=map,
start=start,
goal=goal)
assert f == 4
map = RectMap(W=10, H=10, obstacles=[Vector3D(1, 2),
Vector3D(2,2),
Vector3D(3,2),
Vector3D(4,2),
Vector3D(4,3),
Vector3D(4,4),
Vector3D(4,5),
Vector3D(4,6),
Vector3D(3,6),
Vector3D(2,6),
Vector3D(1,6)
])
start = Vector3D(0, 4)
goal = Vector3D(6, 3)
path, f = A_star_search_algorithm(map=map,
start=start,
goal=goal)
for nd in path:
print(nd.data.pt)
assert f==11
map = RectMap(W=10, H=10, special_points=[SpecialPoint(Vector3D(1, 2), 100),
SpecialPoint(Vector3D(2, 2), 100),
SpecialPoint(Vector3D(3, 2), 100),
SpecialPoint(Vector3D(4, 2), 100),
SpecialPoint(Vector3D(4, 3), 100),
SpecialPoint(Vector3D(4, 4), 100),
SpecialPoint(Vector3D(4, 5), 100),
SpecialPoint(Vector3D(4, 6), 100),
SpecialPoint(Vector3D(3, 6), 100),
SpecialPoint(Vector3D(2, 6), 100),
SpecialPoint(Vector3D(1, 6), 100)
])
start = Vector3D(0, 4)
goal = Vector3D(6, 3)
path, f = A_star_search_algorithm(map=map,
start=start,
goal=goal)
for nd in path:
print(nd.data.pt)
assert f == 11
map = RectMap(W=10, H=10, special_points=[SpecialPoint(Vector3D(1, 2), 100),
SpecialPoint(Vector3D(2, 2), 100),
SpecialPoint(Vector3D(3, 2), 100),
SpecialPoint(Vector3D(4, 2), 100),
SpecialPoint(Vector3D(4, 3), 2),
SpecialPoint(Vector3D(4, 4), 100),
SpecialPoint(Vector3D(4, 5), 100),
SpecialPoint(Vector3D(4, 6), 100),
SpecialPoint(Vector3D(3, 6), 100),
SpecialPoint(Vector3D(2, 6), 100),
SpecialPoint(Vector3D(1, 6), 100)
])
start = Vector3D(0, 4)
goal = Vector3D(6, 3)
path, f = A_star_search_algorithm(map=map,
start=start,
goal=goal)
print('__________________')
for nd in path:
print(nd.data.pt)
assert f == 8
#测试结束