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def IDS(self): queue = PriorityQueue() # list of return path level = 0 # incremnetal level while (True): path = [] expanded = [] # list of expanded states depth = 0 # the depth of current node, if higher than level, it will stop exploring queue.put((depth,[self.source])) while queue.empty() == False: # add lastest node from to queue path and expanded #because we backtrack so we do not add old node to path depth, path = queue.get() v = path[len(path) - 1] # last node in path is the node ready to explore neighbor expanded.append(v) #discovered[v-1] = True #print(v) if v == self.des: print(expanded) #f.write('\n') self.returnPath = path[::-1] self.expanded = expanded return for i in range(len(self.matrix)): if (self.matrix[v][i] != 0 and i != path[len(path)-2]): # basically prevent the current node go backward, for ex: 0 -> 1, then 1 cannot go back to 0 # but 0 -> 1 -> 4, 4 cannot go back to 1 but 4 can go back to 0 totalDepth = depth - 1 # we do reversed logic here, because priority queue pop out the one with lowest priority. # reversed logic, all depth in queue is in negative number # reversed logic is applied to make sure the path with highest depth go DFS because queue contains many path # and priority queue just pop out the one with lowest priority first #for instance: queue has [(-2,[0,2,4]),(0,[0]),(-1,[0,1])], it will pop out the [0,2,4] then go DFS, if not we will do BFS instead if (abs(totalDepth) <= level): tmp = path[:] tmp.append(i) queue.put((totalDepth, tmp)) level += 1 queue.queue.clear() print(expanded)
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