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

	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 <bits/stdc++.h>

using namespace std;
using llong = long long;
using ldbl = long double;
using lpair = pair<llong, llong>;

#define ALL(x) x.begin(), x.end()

const llong inf = 1'000'000'000'000'007ll;
const llong mod = 1e9+7;

struct data {
	llong place;
	llong cost;

	data() {};
	data(llong place, llong cost) :
		place(place),
		cost(cost)
	{}

	bool operator<(const data &ri) const {
		return cost < ri.cost;
	}
	bool operator<=(const data &ri) const {
		return cost <= ri.cost;
	}
	bool operator>(const data &ri) const {
		return cost > ri.cost;
	}
};

vector<vector<data> > edges;

vector<data> dijkstra(int start) {
	priority_queue<data, vector<data>, greater<data> > que;
	vector<data> dis(edges.size(), data(-1, inf));
	dis[start] = data(start, 0);

	que.push(dis[start]);
	while (que.size()) {
		data now = que.top();
		que.pop();
		if (dis[now.place] < now) continue;

		for (auto &edge: edges[now.place]) {
			data next(edge.place, now.cost + edge.cost);
			if(dis[next.place] <= next) continue;
			dis[next.place] = next;
			que.push(next);
		}
	}

	return dis;
}


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

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

	auto ans = dijkstra(0);
	for (int i = 0; i < n; ++i) {
		cout << i << " " << ans[i].cost << endl;
	}

	return 0;
}