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ABC191-E Come Back Quickly


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C#のソース

using System;
using System.Collections.Generic;
using System.Linq;

class Program
{
    static string InputPattern = "InputX";

    static List<string> GetInputList()
    {
        var WillReturn = new List<string>();

        if (InputPattern == "Input1") {
            WillReturn.Add("4 4");
            WillReturn.Add("1 2 5");
            WillReturn.Add("2 3 10");
            WillReturn.Add("3 1 15");
            WillReturn.Add("4 3 20");
            //30
            //30
            //30
            //-1
        }
        else if (InputPattern == "Input2") {
            WillReturn.Add("4 6");
            WillReturn.Add("1 2 5");
            WillReturn.Add("1 3 10");
            WillReturn.Add("2 4 5");
            WillReturn.Add("3 4 10");
            WillReturn.Add("4 1 10");
            WillReturn.Add("1 1 10");
            //10
            //20
            //30
            //20
        }
        else if (InputPattern == "Input3") {
            WillReturn.Add("4 7");
            WillReturn.Add("1 2 10");
            WillReturn.Add("2 3 30");
            WillReturn.Add("1 4 15");
            WillReturn.Add("3 4 25");
            WillReturn.Add("3 4 20");
            WillReturn.Add("4 3 20");
            WillReturn.Add("4 3 30");
            //-1
            //-1
            //40
            //40
        }
        else {
            string wkStr;
            while ((wkStr = Console.ReadLine()) != null) WillReturn.Add(wkStr);
        }
        return WillReturn;
    }

    static int mN; // 頂点の数

    struct EdgeInfoDef
    {
        internal int ToNode;
        internal int Cost;
    }
    static Dictionary<int, List<EdgeInfoDef>> mNodeInfoListDict = new Dictionary<int, List<EdgeInfoDef>>();

    static void Main()
    {
        List<string> InputList = GetInputList();

        int[] wkArr = { };
        Action<string> SplitAct = pStr =>
            wkArr = pStr.Split(' ').Select(X => int.Parse(X)).ToArray();

        SplitAct(InputList[0]);
        mN = wkArr[0];

        foreach (string EachStr in InputList.Skip(1)) {
            SplitAct(EachStr);
            int FromNode = wkArr[0];
            if (mNodeInfoListDict.ContainsKey(FromNode) == false) {
                mNodeInfoListDict[FromNode] = new List<EdgeInfoDef>();
            }
            EdgeInfoDef WillAdd;
            WillAdd.ToNode = wkArr[1];
            WillAdd.Cost = wkArr[2];
            mNodeInfoListDict[FromNode].Add(WillAdd);
        }

        for (int I = 1; I <= mN; I++) {
            Dijkstra(I);
        }
    }

    // ダイクストラ法で、散歩経路の最小コストを求める
    static void Dijkstra(int pStaNode)
    {
        var InsPQueue = new PQueue();

        // 距離合計[確定ノード]なDict
        var KakuteiNodeDict = new Dictionary<int, long>();

        //Enqueue処理
        Action<int> EnqueueAct = pFromNode =>
        {
            if (mNodeInfoListDict.ContainsKey(pFromNode) == false) {
                return;
            }
            foreach (EdgeInfoDef EachEdge in mNodeInfoListDict[pFromNode]) {
                // 確定ノードならContinue
                if (KakuteiNodeDict.ContainsKey(EachEdge.ToNode)) continue;

                long wkSumCost = EachEdge.Cost;
                if (pFromNode != pStaNode) {
                    wkSumCost += KakuteiNodeDict[pFromNode];
                }

                PQueue.PQueueJyoutaiDef WillEnqueue;
                WillEnqueue.Node = EachEdge.ToNode;
                WillEnqueue.SumCost = wkSumCost;
                InsPQueue.Enqueue(WillEnqueue);
            }
        };
        EnqueueAct(pStaNode);

        while (InsPQueue.IsEmpty() == false) {
            PQueue.PQueueJyoutaiDef Dequeued = InsPQueue.Dequeue();

            //確定ノードならContinue
            if (KakuteiNodeDict.ContainsKey(Dequeued.Node)) continue;

            KakuteiNodeDict.Add(Dequeued.Node, Dequeued.SumCost);
            EnqueueAct(Dequeued.Node);
        }

        if (KakuteiNodeDict.ContainsKey(pStaNode)) {
            Console.WriteLine(KakuteiNodeDict[pStaNode]);
        }
        else {
            Console.WriteLine(-1);
        }
    }
}

#region PQueue
// 優先度付きキュー
internal class PQueue
{
    internal struct PQueueJyoutaiDef
    {
        internal int Node;
        internal long SumCost;
    }

    private Dictionary<int, PQueueJyoutaiDef> mHeapDict = new Dictionary<int, PQueueJyoutaiDef>();

    internal bool IsEmpty()
    {
        return mHeapDict.Count == 0;
    }

    // エンキュー処理
    internal void Enqueue(PQueueJyoutaiDef pAddJyoutai)
    {
        int CurrNode = 1 + mHeapDict.Count;
        mHeapDict[CurrNode] = pAddJyoutai;

        while (1 < CurrNode && mHeapDict[CurrNode / 2].SumCost > mHeapDict[CurrNode].SumCost) {
            PQueueJyoutaiDef Swap = mHeapDict[CurrNode];
            mHeapDict[CurrNode] = mHeapDict[CurrNode / 2];
            mHeapDict[CurrNode / 2] = Swap;

            CurrNode /= 2;
        }
    }

    // デキュー処理
    internal PQueueJyoutaiDef Dequeue()
    {
        PQueueJyoutaiDef TopNode = mHeapDict[1];
        int LastNode = mHeapDict.Count;
        mHeapDict[1] = mHeapDict[LastNode];
        mHeapDict.Remove(LastNode);

        MinHeapify(1);
        return TopNode;
    }

    // 根ノードを指定し、根から葉へヒープ構築
    private void MinHeapify(int pRootNode)
    {
        if (mHeapDict.Count <= 1) {
            return;
        }

        int Left = pRootNode * 2;
        int Right = pRootNode * 2 + 1;

        // 左の子、自分、右の子で値が最小のノードを選ぶ
        long Smallest = mHeapDict[pRootNode].SumCost;
        int SmallestNode = pRootNode;

        if (mHeapDict.ContainsKey(Left) && mHeapDict[Left].SumCost < Smallest) {
            Smallest = mHeapDict[Left].SumCost;
            SmallestNode = Left;
        }
        if (mHeapDict.ContainsKey(Right) && mHeapDict[Right].SumCost < Smallest) {
            Smallest = mHeapDict[Right].SumCost;
            SmallestNode = Right;
        }

        // 子ノードのほうが大きい場合
        if (SmallestNode != pRootNode) {
            PQueueJyoutaiDef Swap = mHeapDict[SmallestNode];
            mHeapDict[SmallestNode] = mHeapDict[pRootNode];
            mHeapDict[pRootNode] = Swap;

            // 再帰的に呼び出し
            MinHeapify(SmallestNode);
        }
    }
}
#endregion


解説

開始ノードに戻ってくる最短コストを知りたいので、
開始ノードを全探索し、
最初のエンキュー時点で、開始ノードを確定ノードにしないように
アレンジしたダイクストラ法を使ってます。