Go: package main

import (
	"bufio"
	"fmt"
	"os"
	"strconv"
)

const (
	MAX_N      = 10000
	MAX_WEIGHT = 100000
)

type Edge struct {
	start  int
	end    int
	weight int
}

type ShortestInfo struct {
	edges    []Edge
	shortest int
}

func main() {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)

	n, err := nextInt(sc)
	if err != nil {
		panic(err)
	}

	shortestList := make([]ShortestInfo, n)
	for i := 1; i < n; i++ {
		shortestList[i] = ShortestInfo{edges: []Edge{}, shortest: MAX_N*MAX_WEIGHT + 1}
	}

	adjacentMatrix, err := createAdjacentMatrix(n, sc)
	if err != nil {
		panic(err)
	}

	sssp([]int{1}, shortestList, adjacentMatrix)
	for _, v := range shortestList {
		fmt.Printf("%d %d\n", v.getEnd()-1, v.shortest)
	}
}

func (si ShortestInfo) getEnd() int {
	if len(si.edges) == 0 {
		return 1
	} else {
		return si.edges[len(si.edges)-1].end
	}
}

func createAdjacentMatrix(n int, sc *bufio.Scanner) ([][]int, error) {
	adjacentMatrix := make([][]int, n)
	for i := 0; i < n; i++ {
		id, err := nextInt(sc)
		if err != nil {
			return nil, err
		}
		adjacentMatrix[id] = make([]int, n)
		for j := 0; j < n; j++ {
			adjacentMatrix[id][j] = -1
		}
		vertexNum, err := nextInt(sc)
		if err != nil {
			return nil, err
		}
		for j := 0; j < vertexNum; j++ {
			v, err := nextInt(sc)
			if err != nil {
				return nil, err
			}
			c, err := nextInt(sc)
			if err != nil {
				return nil, err
			}
			adjacentMatrix[id][v] = c
		}
	}
	return adjacentMatrix, nil
}

func sssp(nodeStack []int, shortestList []ShortestInfo, adjacentMatrix [][]int) {
	for len(nodeStack) > 0 {
		currentNode := nodeStack[0]
		nodeStack = nodeStack[1:]
		currentShortest := getShortest(currentNode, shortestList)
		adjacents := findAdjacents(currentNode, adjacentMatrix)
		for i := 0; i < len(adjacents); i++ {
			adj := adjacents[i]
			if currentShortest.shortest+adj.weight < getShortest(adj.end, shortestList).shortest {
				setShortest(adj.end, adj, currentShortest, shortestList)
				nodeStack = append(nodeStack, adj.end)
			}
		}
	}
}

func getShortest(node int, shortestList []ShortestInfo) ShortestInfo {
	return shortestList[node-1]
}

func setShortest(node int, edge Edge, currentShortest ShortestInfo, shortestList []ShortestInfo) {
	newEdges := make([]Edge, len(currentShortest.edges)+1)
	for i := 0; i < len(newEdges)-1; i++ {
		newEdges[i] = currentShortest.edges[i]
	}
	newEdges[len(newEdges)-1] = edge
	shortestInfo := ShortestInfo{edges: newEdges, shortest: currentShortest.shortest + edge.weight}
	shortestList[node-1] = shortestInfo
}

func findAdjacents(currentNode int, adjacentMatrix [][]int) []Edge {
	adjacents := adjacentMatrix[currentNode-1]
	edges := []Edge{}
	for i, v := range adjacents {
		if v > 0 {
			edges = append(edges, Edge{start: currentNode, end: i + 1, weight: v})
		}
	}
	return edges
}

func nextInt(sc *bufio.Scanner) (int, error) {
	sc.Scan()
	return strconv.Atoi(sc.Text())
}

C++: #include <iostream>
#include <vector>
#include <queue>

using namespace std;

struct Edge{
    int v, c;

    Edge(int v, int c):v(v), c(c){}

//    bool operator >(Edge &e){
//        return c > e.c;
//    }
};

struct SDto{
    int v, d, from;
    SDto(int v, int d, int from): v(v), d(d), from(from){}

//    bool operator <(SDto &that){
//        return d < that.d;
//    }

    friend bool operator>(SDto s1, SDto s2){
        return s1.d > s2.d;
    }

//    friend bool operator<(SDto s1, SDto s2){
//        return s1.d < s2.d;
//    }
};

// dijkstra
const int MAX_N = 10000, INF = 1 << 28;
int distTo[MAX_N];
int parentOf[MAX_N];
void dijkstra(vector<Edge> G[]);

int main() {
//    SDto s1(1, 1, 1);
//    SDto s2(1, 2, 1);
//    cout << (s1 > s2);

    int n;
    cin >> n;

    // Graph
    vector<Edge> G[n];
    for (int i = 0; i < n; ++i) {
        int u, k;
        cin >> u >> k;
        for (int j = 0; j < k; ++j) {
            int v, c;
            cin >> v >> c;
            G[u].emplace_back(v, c);
        }
    }

    dijkstra(G);

    for (int l = 0; l < n; ++l) {
        cout << l << " " << distTo[l] << endl;
    }

    return 0;
}

void dijkstra(vector<Edge> G[]){
    fill(distTo, distTo + sizeof(distTo) / sizeof(*distTo), INF);

    priority_queue<SDto, vector<SDto>, greater<SDto>> pq;

    pq.push(SDto(0, 0, -1));
    while(!pq.empty()) {
        SDto sd = pq.top(); pq.pop();
        if (sd.d < distTo[sd.v]) {
            distTo[sd.v] = sd.d;
            for (auto e: G[sd.v]) {
                if (distTo[e.v] < INF) continue;
                pq.push(SDto(e.v, distTo[sd.v] + e.c, sd.v));
            }
        }
    }
}

C++: #include<cstdio>
#include<queue>
#include<algorithm>
#include<vector>
#include<map>
using namespace std;
const int MAX= 100005 ;
const int INF= 1<<30 ;
int n,d[MAX],vis[MAX];
vector<pair<int,int> > G[MAX];
void init(){
	for(int i=0;i<n;i++){
		d[i]=INF;
		vis[i]=0;
	}
	d[0]=0;
}
void dijkstra(){
	priority_queue<pair<int,int> > PQ;
	PQ.push(make_pair(0,0));
	while(!PQ.empty()){
		pair<int,int> f=PQ.top();PQ.pop();
		int u=f.second;
		vis[u]=1;
		if(d[u]>=-f.first){
			for(int i=0;i<G[u].size();i++){
				int v=G[u][i].first;
				if(!vis[v] && d[v]>G[u][i].second+d[u]){
					d[v]=G[u][i].second+d[u];
					PQ.push(make_pair(-d[v],v));
				}
			}
		}
	}
}
int main(){
	int u,k,v,c;
	scanf("%d",&n);
	for(int i=0;i<n;i++){
		scanf("%d %d",&u,&k);
		for(int j=0;j<k;j++){
			scanf("%d %d",&v,&c);
			G[u].push_back(make_pair(v,c));
		}
	}
	init();
	dijkstra();
	for(int i=0;i<n;i++){
		printf("%d %d\n",i,d[i]);
	}
	return 0;
}

C++: #include <bits/stdc++.h>
#define REP(i,n) for (int i = 0; i <(n); ++i)
#define ALL(v) v.begin(), v.end()
using namespace std;
using ll = long long;
using P = pair<int,int>;

static const int MAX = 10000;
static const int INFTY  = (1 << 20);

static const int WHITE = 0;
static const int GRAY  = 1;
static const int BLACK = 2;



int n;
vector<pair<int, int>> adj[MAX];
//グラフの隣接リスト表現(重み付き有向)　first:隣接頂点，second; コスト

void dijkstra(){
  priority_queue<pair<int, int>> PQ;  //各隣接頂点の始点からのコストのキュー
  int color[MAX]; //訪問状況
  int d[MAX];     //始点から各頂点までの最小コスト
  //初期化
  for(int i = 0; i < n; ++i){
    d[i] = INFTY;
    color[i]  = WHITE;
  }

  //始点のコストｄ[0]と，，priority_quwueに代入
  d[0] = 0;
  PQ.push(make_pair(0, 0));
  color[0] = GRAY;


  //最短経路の探索ループ

  while( !PQ.empty() ){
     //最小コストの頂点を取得し，確定
    pair<int, int> f = PQ.top(); PQ.pop();
    int u = f.second;
    color[u] = BLACK;

    //最小値を取り出し，それが最短でなければ無視
    if( d[u] < f.first*(-1) ) continue;

    for(int j = 0; j < adj[u].size(); ++j){
      int v = adj[u][j].first;
      if( color[v] == BLACK ) continue; //確定した頂点は飛ばす

      //最小コストを比較して，　更新
      if( d[v] > d[u] + adj[u][j].second ){
        d[v] = d[u] + adj[u][j].second;
        PQ.push(make_pair(d[v]* (-1), v));
        //priority_queueは大きい値を優先するため，−１をかける．
        color[v] = GRAY;
      }
    }
  }

  for( int i = 0; i < n; i++ ){
    cout << i << " "  << (d[i] == INFTY ? -1 : d[i]) << endl;
  }


}

int main(){
  //Input
  int k, u, v, c; //頂点uに隣接する頂点の数， 頂点, 頂点ｋに隣接する頂点, u>vのコスト
  cin >> n;

  REP(i,n){
    cin >> u >> k;
    REP(j,k){
      cin >> v >> c;
      adj[u].push_back(make_pair(v, c));
    }
  }

  //
  dijkstra();

  return 0;
}