Go: package main

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

//make priority queue
type Item struct {
	id       int
	priority int // this state is priority and distans from start
	index    int
}

type PriorityQueue []*Item

func (pq PriorityQueue) Len() int { return len(pq) }

// we want the ascending-priority-queue.
// So we use less than here.
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 = j
	pq[j].index = i
}

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
}

func (pq *PriorityQueue) update(dist int, id int) {
	for _, i := range *pq {
		if i.id == id {
			if i.priority > dist {
				i.priority = dist
			}
		}
	}
}

// the main code
func nextInt(sc *bufio.Scanner) int {
	sc.Scan()
	n, _ := strconv.Atoi(sc.Text())
	return n
}

func dikstra(dist [][]int, n int) []int {
	// preparate priority queue
	inf := 1 << 30
	pq := make(PriorityQueue, n)
	shortests := make([]int, n)
	for i := 0; i < n; i++ {
		pq[i] = &Item{
			id:       i,
			priority: inf,
			index:    i,
		}

		shortests[i] = inf
	}
	pq[0].priority = 0
	shortests[0] = 0
	heap.Init(&pq)

	for pq.Len() > 0 {
		item := heap.Pop(&pq).(*Item)
		shortests[item.id] = item.priority
		for id, d := range dist[item.id] {
			if d != -1 {
				pq.update(item.priority+d, id)
			}
		}
		heap.Init(&pq)
	}
	return shortests
}

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

	// init
	n := nextInt(sc)
	dist := make([][]int, n)
	for i := 0; i < n; i++ {
		dist[i] = make([]int, n)
		for j := 0; j < n; j++ {
			dist[i][j] = -1
		}
	}

	// std Input
	for i := 0; i < n; i++ {
		u := nextInt(sc)
		k := nextInt(sc)
		for j := 0; j < k; j++ {
			v, c := nextInt(sc), nextInt(sc)
			dist[u][v] = c
		}
	}

	shortests := dikstra(dist, n)
	for i, d := range shortests {
		fmt.Printf("%d %d\n", i, d)
	}
}

C++: #include<iostream>
#include<vector>
#include<limits>
using namespace std;

const int MAX = numeric_limits<int>::max();

class Node{
public:
  int _id;
  bool _isFound;
  vector<int> _adj_index; // 隣接点のid
  vector<int> _adj_vertices;  // 隣接点との距離(重み)
  int _cost;

  void init(int id, int n){
    _id = id;
    _isFound = false;
    for(auto i = 0; i < n; i++){
      _adj_vertices.push_back(MAX);
    }
  }
};


void inputAdjList(vector<Node>& graph){
  for(auto i = 0; i < graph.size(); i++){
    int id, dim;
    cin >> id >> dim;
    graph[i].init(i, graph.size());
    for(auto j = 0; j < dim; j++){
      int vertex, distance;
      cin >> vertex >> distance;
      graph[i]._adj_index.push_back(vertex);
      graph[i]._adj_vertices[graph[i]._adj_index[j]] = distance;
    }
  }
}

void dijkstra(vector<Node>& nodes, int start){
  for(auto& node : nodes){
    node._isFound = false;
    node._cost = MAX;
  }

  nodes[start]._cost = 0;

  while(true){
//  cout << endl << "while start" << endl;
    Node *doneNode = nullptr;
    for(auto& node : nodes){
//  cout << "call for start" << node._cost << endl;
      if(node._isFound || node._cost == MAX){
//  cout << "continue" << node._cost << endl;
        continue;
      }
      if(doneNode == nullptr || node._cost < doneNode->_cost){

        doneNode = &node;
//  cout << "call" << node._cost << endl;
      }
    }
    if(doneNode == nullptr){
      break;
    }

//    cout << nodes[0]._isFound << endl;
    doneNode->_isFound = true;
//    cout << nodes[0]._isFound << endl;
    for(auto i = 0; i < doneNode->_adj_index.size(); i++){
//      cout << "i " << i << endl;
      auto nextIndex = doneNode->_adj_index[i];
      auto cost = doneNode->_cost + doneNode->_adj_vertices[doneNode->_adj_index[i]];
//    cout << endl << nextIndex << endl;
//    cout << cost << endl;
//    cout << nodes[nextIndex]._cost << endl;
      if(nodes[nextIndex]._cost == MAX || cost < nodes[nextIndex]._cost){
        nodes[nextIndex]._cost = cost;
//    cout << "called " << endl;
      }
    }
  }
}


int main(){
  int n;
  cin >> n;
  vector<Node> graph(n);

  inputAdjList(graph);
  dijkstra(graph, 0);

  for(auto g : graph){
    cout << g._id << " " << g._cost << endl;
  }

  return 0;
}

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

using namespace std;
using ll = long long;

template <class T>
struct Edge {
    int to;
    T cost;
    Edge(int to, T cost) : to(to), cost(cost){};
};

template <class T = int>
class Graph {
public:
    explicit Graph(int N = 0) : size(N) { path.resize(size); }
    void span(int u, int v, T cost = 1) { path[u].push_back(Edge<T>(v, cost)); }
    vector<Edge<T>> operator[](int v) const { return path[v]; }

    int size;
    vector<vector<Edge<T>>> path;
};

const ll INF = 1LL << 50;

template <class T>
vector<T> dijkstra(const Graph<T>& graph, int s) {
    vector<T> dist(graph.size, INF);
    dist[s] = 0;

    priority_queue<pair<int, T>, vector<pair<int, T>>, greater<pair<int, T>>> que;
    que.push(make_pair(0, s));

    while (!que.empty()) {
        int v;
        T d;
        tie(d, v) = que.top();
        que.pop();
        if (d > dist[v]) continue;

        for (const auto& e : graph[v]) {
            if (dist[e.to] <= dist[v] + e.cost) continue;
            dist[e.to] = dist[v] + e.cost;
            que.push(make_pair(dist[e.to], e.to));
        }
    }
    return dist;
}

int main() {
    int N;
    cin >> N;

    Graph<ll> graph(N);
    for (int i = 0; i < N; ++i) {
        int v, k;
        cin >> v >> k;
        for (int j = 0; j < k; ++j) {
            int sv;
            ll c;
            cin >> sv >> c;
            graph.span(v, sv, c);
        }
    }

    auto dist = dijkstra<ll>(graph, 0);
    for (int v = 0; v < N; ++v) cout << v << " " << dist[v] << endl;
    return 0;
}