Go: package main

import (
	"bufio"
	"container/heap"
	"fmt"
	"os"
)

type Item struct {
	value    int // The value of the item; arbitrary.
	priority int // The priority of the item in the queue.
	// The index is needed by update and is maintained by the heap.Interface methods.
	index int // The index of the item in the heap.
}
type PriorityQueue []*Item

func (pq PriorityQueue) Len() int { return len(pq) }
func (pq PriorityQueue) Less(i, j int) bool {
	return pq[i].priority < pq[j].priority
}
func (pq PriorityQueue) Swap(i, j int) {
	pq[i], pq[j] = pq[j], pq[i]
	pq[i].index = i
	pq[j].index = j
}
func (pq *PriorityQueue) Push(x interface{}) {
	n := len(*pq)
	item := x.(*Item)
	item.index = n
	*pq = append(*pq, item)
}
func (pq *PriorityQueue) Pop() interface{} {
	old := *pq
	n := len(old)
	item := old[n-1]
	item.index = -1 // for safety
	*pq = old[0 : n-1]
	return item
}

type Q struct {
	pq *PriorityQueue
	ds map[int]int // It has always same value as pq. For random access.
}

func newQ() *Q {
	pq := new(PriorityQueue)
	heap.Init(pq)
	return &Q{
		pq: pq,
		ds: make(map[int]int),
	}
}
func (q *Q) pop() (u, d int) {
	item := heap.Pop(q.pq).(*Item)
	delete(q.ds, item.value)
	return item.value, item.priority
}
func (q *Q) get(u int) (int, bool) { // returns d
	d, ok := q.ds[u]
	return d, ok
}
func (q *Q) set(u, d int) {
	q.ds[u] = d
	for _, item := range *q.pq {
		if item.value != u {
			continue
		}

		item.priority = d
		heap.Fix(q.pq, item.index)
		return
	}
	heap.Push(q.pq, &Item{
		priority: d,
		value:    u,
	})
}
func (q *Q) len() int {
	return len(q.ds)
}

func main() {
	r := bufio.NewReader(os.Stdin)

	var n int
	fmt.Fscan(r, &n)
	cs := make([]map[int]int, n) // []v_i -> c_i
	for h := 0; h < n; h++ {
		var u, k int
		fmt.Fscan(r, &u, &k)
		m := make(map[int]int)
		for i := 0; i < k; i++ {
			var v, c int
			fmt.Fscan(r, &v, &c)
			m[v] = c
		}

		cs[u] = m
	}

	q := newQ()
	q.set(0, 0)
	visited := make(map[int]struct{})
	out := make([]int, n)

	for q.len() > 0 {
		u, d := q.pop()
		for uu, c := range cs[u] {
			// Consider the connection between u and uu.
			if _, ok := visited[uu]; ok {
				continue
			}
			dd := d + c
			if d, ok := q.get(uu); !ok || d > dd {
				q.set(uu, dd)
			}
		}

		out[u] = d
		visited[u] = struct{}{}
	}

	for u, d := range out {
		fmt.Println(u, d)
	}
}

C++: #include <iostream>
#include <algorithm>
#include <queue>
using namespace std;
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];//加权有向图的邻接表示法

void dijkstra(){
    priority_queue<pair<int,int> > PQ;
    int color[MAX];
    int d[MAX];
    for (int i = 0; i < n; ++i) {
        d[i] = INFTY;
        color[i] = WHITE;
    }

    d[0]=0;
    PQ.push(make_pair(0,0));
    color[0] = GRAY;

    while( !PQ.empty()){
        pair<int,int> f = PQ.top();
        PQ.pop();
        int u = f.second;

        color[u] = BLACK;

        //取出最小值,如果不是最短路径则忽略
        for (int j = 0; j < adj[u].size(); ++j) {
            int v=adj[u][j].first;
            if(color[v] == BLACK) continue;
            if(d[v]>d[u]+adj[u][j].second){
                d[v]=d[u]+adj[u][j].second;
                //prority_queue priority_queue默认优先最大值,因此要乘以-1.
                PQ.push(make_pair(d[v] * (-1),v));
                color[v] = GRAY;
            }
        }
    }

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


int main(){
    int k,u,v,c;

    cin>>n;
    for (int i = 0; i < n; ++i) {
        cin >> u >> k;
        for (int j = 0; j < k; ++j) {
            cin >> v >> c;
            adj[u].push_back(make_pair(v,c));
        }
    }

    dijkstra();

    return 0;
}

C++: #include<bits/stdc++.h>
using namespace std;

int cost[10000][10000];//cost[a][b] a??????b????§?????????????????????????
long int d[10000];//??????s?????????????°??????¢
bool used[10000];
int arrow;//????????°

const int INF = 10000000;

void dijkstra(){
  fill(d,d+arrow,INF);
  fill(used,used + arrow,false);
  d[0] = 0;

  while(1){
    int v=-1;
    // ???????????????????????????????????????????????¢???????°???????????????¢???
    for(int u=0;u<arrow;u++){
      if(!used[u] && (v == -1 || d[u] < d[v])) v = u;
    }

    if(v == -1) break;

    used[v] = true;

    for(int u=0; u<arrow; u++){
      if(cost[v][u] != INF){
        d[u] = min(d[u],d[v] + cost[v][u]);
      }
    }
  }

  for(int u=0; u<arrow; u++){
    cout << u << " " << d[u] << endl;
  }

}

int main(){

    cin >> arrow;

    int n,a,v,c;



    for(int i=0;i<arrow;i++){
      for(int j=0;j<arrow;j++){
        cost[i][j] = INF;
      }
    }

    for(int u=0;u<arrow;u++){

      cin >> n >> a;

      for(int i=0; i<a;i++){
        cin >> v >> c;
        cost[n][v] = c;
      }
    }

    dijkstra();

    return 0;
}

C++: // 単一始点最短経路 ( ダイクストラ法 : 優先度付きキュー )
#include<cstdio>
#include<cstdlib>
#include<cstring>
#include<stack>
#include<algorithm>
#include<iostream>
#include<cmath>
#include<vector>

#include<queue>

using namespace std;

static const int MAX_N = 10000;
static const int INFTY = (1 <<21);
static const int WHITE = 0;
static const int GRAY = 1;
static const int BLACK = 2;

class q_element
{
    public:
        // 各頂点のNo.と経路の値
        int vertex_num;
        int vertex_val;

        // コンストラクタ
        q_element(int a, int b)
        {
            vertex_num = a;
            vertex_val = b;
        };
};

// ">" のオーバーロード [ receive_val ] を基準に大小比較を行う
bool operator> (const q_element &q_element_1, const q_element &q_element_2)
{
    return q_element_1.vertex_val > q_element_2.vertex_val;
};

// q_elementクラスのオブジェクトを昇順にするためのキューの定義
std::priority_queue< q_element,
                     std::vector<q_element>,
                     std::greater<q_element> > pqEle;

// 隣接リストを作成する
vector<int> v_Link[MAX_N + 1];

int n, M[MAX_N][MAX_N];

// ダイクストラ法を実施するメソッド( 優先度付きキュー )
int Dijkstra_priority_queue();

int main(void)
{

    cin >> n;

    for(int i = 0; i < n; i++)
    {
        for(int j = 0; j < n; j++)
        {
            // 配列の初期化
            M[i][j] = INFTY;
        }
    }

    int k, c, u, v;

    for(int i = 0; i < n; i++)
    {
        cin >> u >> k;

        for(int j = 0; j < k; j++)
        {
            cin >> v >> c;

            // 隣接リストの作成
            v_Link[u].push_back(v);
            // 辺の値の代入
            M[u][v] = c;
        }
    }

    // 優先度付きキューを用いたダイクストラ法
    Dijkstra_priority_queue();

    return 0;

}

// 優先度付きキューを用いたダイクストラ法を実施するメソッド
int Dijkstra_priority_queue()
{
    int u, v, minv;
    int d[MAX_N], p[MAX_N], color[MAX_N];

    for(int i = 0; i < n; i++)
    {
        d[i] = INFTY;
        p[i] = -1;
        color[i] = WHITE;
    }

    // 初期値の設定
    d[0] = 0;
    color[0] = GRAY;
    // キューに要素を入れる
    pqEle.push( q_element(0, 0) );

    while( !pqEle.empty() )
    {
        //minv = INFTY;
        // 次に移動するべき頂点
        //u = -1;

        // 最小の値を持つ要素を取り出す ( キューの先頭 )
        u = pqEle.top().vertex_num;
        minv = pqEle.top().vertex_val;
        pqEle.pop();

        // 訪問完了
        color[u] = BLACK;

        for(int v_num = 0; v_num < v_Link[u].size(); v_num++)
        {
            // 隣接リストから要素を取得する
            v = v_Link[u][v_num];

            if( color[v] != BLACK )
            {
                // u → v の経路の中で, vのコストが最小のものが見つかれば更新する
                if( d[v] > d[u] + M[u][v] )
                {
                    // コストの記録
                    d[v] = d[u] + M[u][v];
                    // 頂点 v の親を記録する
                    p[v] = u;
                    // 訪問状態の記録
                    color[v] = GRAY;

                    // キューに要素を入れる
                    pqEle.push( q_element(v, d[v]) );
                }
            }
        }
    }

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

    return 0;
}