def __init__(self, nodeSet, **kargs):
kargs['node_cls'] = AStarNode
self.dist_measure = model.check_param(kargs, 'dist_measure', "euclidean", False)
if self.dist_measure.strip() == "":
self.dist_measure = "euclidean"
nodeSet.real_distance = self.distance
model.SearchModel.__init__(self, nodeSet, **kargs)
def find_path(**kargs):
"""
find path from begin point to end one in data map.
searching_method: "bfs, dfs, dijkstra, astar"
nodeset: node map
dist_measure: euclidean, chebyshev, manhatton
"""
searching_method = check_param(kargs, 'searching_method', "astar")
nodeset = check_param(kargs, 'nodeset', "astar")
dist_measure = check_param(kargs, 'dist_measure', "", False)
cls_tbl = {'astar': astar.AStar, 'bfs': bfs_dfs.BFS, 'dfs': bfs_dfs.DFS, 'dijkstra': dijkstra.Dijkstra }
if searching_method not in cls_tbl:
print "Fail to find specified searching approach!"
return False
cls = cls_tbl[searching_method]
pfo = cls(nodeset, **kargs)
path = pfo.find_path()
print path
return path
def find_path(**kargs):
"""
find path from begin point to end one in data map.
searching_method: "bfs, dfs, dijkstra, astar"
nodeset: node map
dist_measure: euclidean, chebyshev, manhatton
"""
searching_method = check_param(kargs, "searching_method", "astar")
nodeset = check_param(kargs, "nodeset", "astar")
dist_measure = check_param(kargs, "dist_measure", "", False)
cls_tbl = {"astar": astar.AStar, "bfs": bfs_dfs.BFS, "dfs": bfs_dfs.DFS, "dijkstra": dijkstra.Dijkstra}
if searching_method not in cls_tbl:
print "Fail to find specified searching approach!"
return False
cls = cls_tbl[searching_method]
pfo = cls(nodeset, **kargs)
path = pfo.find_path()
print path
return path
