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2018-05-07

2018-05-07

作者: 木马音响积木 | 来源:发表于2018-05-07 17:50 被阅读0次

    p116 算法图解,7.1 作业,答案,给大家参看

    
    
    graph = {}
    graph["start"] = {}
    graph["start"]["a"] = 5
    graph["start"]["b"] = 2
    graph["a"] = {}
    graph["a"]["c"] = 4
    graph["a"]["d"] = 2
    graph["b"] = {}
    graph["b"]["a"] = 8
    graph["b"]["d"] = 7
    #graph["b"]["fin"] = 5
    graph["c"] = {}
    graph["c"]["fin"] = 3
    graph["c"]["d"] = 6
    graph["d"] = {}
    graph["d"]["fin"] = 1
    graph["fin"] = {}
    # costs
    infinity = float("inf")
    costs = {}
    costs["a"] = 5
    costs["b"] = 2
    costs["c"] = infinity
    costs["d"] = infinity
    costs["fin"] = infinity
    # parent
    parents = {}
    parents["a"] = "start"
    parents["b"] = "start"
    parents["fin"] = None
    # processe
    processed = []
    
    #find_lowes
    def find_lowest_cost_node(costs):
        lowest_cost = float("inf")
        lowest_cost_node = None
        for node in costs:
            cost = costs[node]
            if cost < lowest_cost and node not in processed:
                lowest_cost = cost
                lowest_cost_node = node
        return lowest_cost_node
    
    
    #Dijkstra implement
    node = find_lowest_cost_node(costs) 
    while node is not None:
        cost = costs[node] 
        neighbors = graph[node]
        for n in neighbors.keys():
            new_cost = cost + neighbors[n]
            if costs[n] > new_cost:
                costs[n] = new_cost
                parents[n] = node
        processed.append(node)
        node = find_lowest_cost_node(costs)
    
    #print(processed)
    
    theway=[]
    #print(parents["fin"] )
    hh=1
    
    lala = parents["fin"]
    theway.append("fin")
    theway.append(lala)
    while lala != "start" and hh<500: # to Avoid dead loops
        lala =parents[lala]
       # print(lala)
        hh+=7
        #print(hh)
        theway.append(lala)
    theway.reverse()
    print(theway)
    print('the lowest cost is '+str(costs["fin"]) )
    
    

    结果

    $python main.py
    ['start', 'a', 'd', 'fin']
    the lowest cost is 8
    

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