Go: package main

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

const BIG_COST = 200000

type Path struct {
	node int
	cost int
}

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

	nNodes := scanInt(sc)

	// 各頂点につながる頂点一覧を得るための隣接リスト
	graph := make([][]Path, nNodes)

	for i := 0; i < nNodes; i++ {
		u := scanInt(sc)
		k := scanInt(sc)
		graph[i] = make([]Path, k)
		for d := 0; d < k; d++ {
			graph[u][d] = Path{
				node: scanInt(sc),
				cost: scanInt(sc),
			}
		}
	}

	// 0 から各頂点への最小コストを保存する配列
	minCosts := make([]int, nNodes)

	minCosts[0] = 0
	for i := 1; i < nNodes; i++ {
		minCosts[i] = BIG_COST
	}

	// 各頂点が調査済みかどうかを保持する配列
	checked := make([]bool, nNodes)

	// 最小コストのパスを高速に取得するためのヒープ。
	// コストが小さいものほどルートに来るようにする。
	heap := NewHeap(func(a, b Path) bool {
		return a.cost < b.cost
	})

	heap.insert(Path{node: 0, cost: 0})
	for heap.size > 0 {
		u := heap.extractMax()

		// 隣接行列を使っていた時とは違い、ヒープには
		// 同じノードへのパスが複数含まれうる。そのため既によりコストの低い
		// パスが見つかっている場合は無視する。
		if minCosts[u.node] < u.cost {
			continue
		}

		checked[u.node] = true

		for _, v := range graph[u.node] {
			cost := v.cost + u.cost
			if !checked[v.node] && cost < minCosts[v.node] {
				minCosts[v.node] = cost
				heap.insert(Path{node: v.node, cost: cost})
			}
		}
	}

	w := bufio.NewWriter(os.Stdout)
	for i, cost := range minCosts {
		fmt.Fprintf(w, "%d %d\n", i, cost)
	}
	w.Flush()
}

func scanInt(sc *bufio.Scanner) int {
	sc.Scan()
	v, _ := strconv.Atoi(sc.Text())
	return v
}

// --- From ALDS1_9_C: Priority Queue

type Heap struct {
	size   int
	heap   []Path
	isHigh func(a, b Path) bool
}

func NewHeap(isHigh func(a, b Path) bool) Heap {
	heap := make([]Path, 1) // 先頭は不使用
	return Heap{size: 0, heap: heap, isHigh: isHigh}
}

func (h *Heap) insert(v Path) {
	h.size += 1
	if h.size > len(h.heap)-1 {
		h.heap = append(h.heap, v)
	} else {
		h.heap[h.size] = v
	}

	for i := h.size; i > 1; {
		parent := i / 2
		if h.isHigh(h.heap[parent], h.heap[i]) {
			break
		}
		h.heap[i], h.heap[parent] = h.heap[parent], h.heap[i]
		i = parent
	}
}

func (h *Heap) extractMax() Path {
	if h.size <= 0 {
		panic("cannot extract from empty heap")
	}

	max := h.heap[1]
	h.heap[1] = h.heap[h.size]
	h.size -= 1
	h.maxHeapify(1)

	return max
}

func (h *Heap) maxHeapify(idx int) {
	left := idx * 2
	right := left + 1
	largest := idx

	if left <= h.size {
		if h.isHigh(h.heap[left], h.heap[idx]) {
			largest = left
		}
		if right <= h.size && h.isHigh(h.heap[right], h.heap[largest]) {
			largest = right
		}
	}

	if largest != idx {
		h.heap[idx], h.heap[largest] = h.heap[largest], h.heap[idx]
		h.maxHeapify(largest)
	}
}

C++: //
// Created by 李青坪 on 2018/11/8.
//
#include <cstdio>
#include <algorithm>
#include <queue>
#include <vector>
#define INFINITY 1<<21
#define NIL -1
#define MAXN 10000

using namespace std;
struct Node{
    int id;
    int weight;
    friend bool operator < (Node x1, Node x2) {
        return x1.weight < x2.weight;
    }
};

struct cmp{
    bool operator ()(Node &a, Node &b){
        return a.weight > b.weight;
    }
};

vector<Node> graph[MAXN];
priority_queue<Node, vector<Node>, cmp> V_S;
int n;
int d[MAXN];
bool visited[MAXN];

void init(){
    fill(d, d+MAXN, INFINITY);
    d[0] = 0;
    fill(visited, visited+MAXN, false);
    Node node;
    node.id = 0;
    node.weight = 0;
    V_S.push(node);
}

void updateMinWeight(Node u){
    vector<Node>::iterator it;
    for (it = graph[u.id].begin(); it != graph[u.id].end(); ++it){ //遍历与u相连的所有结点，看有没有结点到S的距离减小了
        if (visited[(*it).id]) continue;
        if (d[(*it).id] > d[u.id] + (*it).weight){
            d[(*it).id] = d[u.id] + (*it).weight;
            Node node;
            node.id = (*it).id;
            node.weight = d[(*it).id];
            V_S.push(node);
        }
    }
}

void dijkstra(){
    while (!V_S.empty()){
        Node u = V_S.top();
        V_S.pop();
        visited[u.id] = true;
        updateMinWeight(u);
    }
}

int main(){
    scanf("%d", &n);
    int u, k;
    for (int i = 0; i < n; ++i) {
        scanf("%d %d", &u, &k);
        int v, w;
        Node node;
        for (int j = 0; j < k; ++j) {
            scanf("%d %d", &v, &w);
            node.id = v;
            node.weight = w;
            graph[u].push_back(node);
        }
    }
    init();
    dijkstra();
    for (int l = 0; l < n; ++l) {
        printf("%d %d\n", l, d[l]);
    }
//    Node l[6];
//    l[0].id = 0; l[0].weight = 3;
//    l[1].id = 1; l[1].weight = 2;
//    l[2].id = 2; l[2].weight = 5;
//    l[3].id = 3; l[3].weight = 3;
//    l[4].id = 4; l[4].weight = 4;
//    l[5].id = 5; l[5].weight = 2;
//    for (int i = 0; i < 6; ++i) {
//        V_S.push(l[i]);
//    }
//    for (int j = 0; j < 6; ++j) {
//        printf("id: %d weight: %d\n", V_S.top().id, V_S.top().weight);
//        V_S.pop();
//    }
}
/*
5
0 3 2 3 3 1 1 2
1 2 0 2 3 4
2 3 0 3 3 1 4 1
3 4 2 1 0 1 1 4 4 3
4 2 2 1 3 3
 */

C++: ///
// File:  alds1_12_c.cpp
// Author: ymiyamoto
//
// Created on Wed Oct 18 22:36:29 2017
//

#include <cstdint>
#include <iostream>
#include <queue>
#include <vector>

using namespace std;

#define SIZE 10000

struct route_t {
  uint32_t node;
  int64_t weight;

  bool operator<(const route_t &r) const
  {
    return weight > r.weight;
  }
};

static vector<route_t> graph[SIZE];
static int64_t costs[SIZE];
static bool visited[SIZE];
static priority_queue<route_t> q;

static void dikstra()
{
  q.push({0, 0});
  costs[0] = 0;

  while (!q.empty()) {
    route_t r = q.top();
    q.pop();

    if (!visited[r.node]) {
      visited[r.node] = true;
      for (uint32_t i = 0; i < graph[r.node].size(); i++) {
        int64_t cost = costs[r.node];
        uint32_t node = graph[r.node][i].node;
        if (cost != -1) {
          if (costs[r.node] + cost < costs[node]) {
            costs[node] = costs[r.node] + cost;
            q.push({node, costs[node]});
          }
        }
      }
    }
  }
}

int32_t main()
{
  uint32_t n;
  cin >> n;

  for (uint32_t i = 0; i < n; i++) {
    costs[i] = INT32_MAX;
  }

  for (uint32_t i = 0; i < n; i++) {
    uint32_t id, k;
    cin >> id >> k;
    for (uint32_t j = 0; j < k; j++) {
      route_t r;
      cin >> r.node >> r.weight;
      graph[id].push_back(r);
    }
  }

  dikstra();

  for (uint32_t i = 0; i < n; i++) {
    cout << i << " " << costs[i] << endl;
  }

  return 0;
}

C++: #include<bits/stdc++.h>
using namespace std;
template<class T>bool chmax(T &a, const T &b) { if (a<b) { a=b; return 1; } return 0; }
template<class T>bool chmin(T &a, const T &b) { if (a>b) { a=b; return 1; } return 0; }

struct edge{int to,cost;};
using Graph=vector<vector<edge>>;
using pint=pair<int,int>;
const int INF=1e9;

int main()
{
    cin.tie(0);
    ios::sync_with_stdio(false);

    int N; cin>>N;
    Graph G(N);
    for(int i=0;i<N;i++){
        int u,k; cin>>u>>k;
        while(k--){
            int v,c; cin>>v>>c;
            G[u].push_back({v,c});
        }
    }

    vector<int> dist(N,INF),finished(N,false);
    priority_queue<pint,vector<pint>,greater<pint>> Q;
    dist[0]=0;
    Q.push({0,0});
    while(!Q.empty()){
        int v=Q.top().second; Q.pop();
        if(finished[v]) continue;
        finished[v]=true;
        for(edge e:G[v]) if(chmin(dist[e.to],dist[v]+e.cost)){
            Q.push({dist[e.to],e.to});
        }
    }
    for(int i=0;i<N;i++){
        cout<<i<<' '<<dist[i]<<endl;
    }
    return 0;
}