from heapq import heappush, heappop def search(start, goal, neighbors, heuristic=None): if heuristic == None: def heuristic(x): return 0 # TODO: callable goal if not isinstance(start, list): start = [start] i = 0 # tiebreaker q = [] for s in start: i += 1 heappush(q, (heuristic(s), i, s, None)) done = {} while q: z, _, this, prev = heappop(q) if this in done: continue cost_so_far = z - heuristic(this) #print(this,z, cost_so_far) done[this] = (cost_so_far, prev) if this == goal: print("astar: visited", len(done), "nodes") # reconsruct the path n = this path = [] while n is not None: path.append(n) _, n = done[n] path.reverse() return cost_so_far, this, path for c, n in neighbors(this): if n not in done: # calculate the "reduced cost" c = cost_so_far + c + heuristic(n) i += 1 heappush(q, (c, i, n, this)) return float('inf'), None def test(): data = [ "aabqponm", "abcryxxl", "accszzxk", "acctuvwj", "abdefghi", ] #data = [ # "aabbaaba", # "abcbaaba", # "accabcbb", # "accbbbba", # "abbbabab", #] start = (0,0) goal = (5,2) def get(x,y): return ord(data[y][x]) def neighbors(src): x,y = src here = get(x,y) n = [] def push(x,y): if 0 <= y < len(data): if 0 <= x < len(data[y]): if get(x,y) <= here+1: n.append((1, (x,y))) push(x-1, y) push(x+1,y) push(x, y-1) push(x, y+1) return n def heuristic(n): return abs(goal[0] - n[0]) + abs(goal[1] - n[1]) c, _, path = search(start, goal, neighbors, heuristic) print(*data, sep="\n") print(*path, sep="\n") assert c == 31, c if __name__ == '__main__': test()