Go: package main

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

// I/O
type Scanner struct {
	sc *bufio.Scanner
}

func NewScanner() *Scanner {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)
	sc.Buffer(make([]byte, 1024), int(1e+9))
	return &Scanner{sc}
}

func (s *Scanner) nextStr() string {
	s.sc.Scan()
	return s.sc.Text()
}

func (s *Scanner) nextInt() int {
	i, e := strconv.Atoi(s.nextStr())
	if e != nil {
		panic(e)
	}
	return i
}

func (s *Scanner) nextFloat() float64 {
	f, e := strconv.ParseFloat(s.nextStr(), 64)
	if e != nil {
		panic(e)
	}
	return f
}

func (s *Scanner) nextRuneSlice() []rune {
	return []rune(s.nextStr())
}

func (s *Scanner) nextIntSlice(n int) []int {
	res := make([]int, n)
	for i := 0; i < n; i++ {
		res[i] = s.nextInt()
	}
	return res
}

func (s *Scanner) nextFloatSlice(n int) []float64 {
	res := make([]float64, n)
	for i := 0; i < n; i++ {
		res[i] = s.nextFloat()
	}
	return res
}

// Arithmetic
func max(nums ...int) int {
	m := nums[0]
	for _, i := range nums {
		if m < i {
			m = i
		}
	}
	return m
}

func min(nums ...int) int {
	m := nums[0]
	for _, i := range nums {
		if m > i {
			m = i
		}
	}
	return m
}

func abs(x int) int {
	if x > 0 {
		return x
	}
	return -x
}

func pow(x, y int) int {
	res := 1
	for i := 0; i < y; i++ {
		res *= x
	}
	return res
}

func ceil(a, b int) int {
	if a%b == 0 {
		return a / b
	} else {
		return a/b + 1
	}
}

// Sort
type RuneSlice []rune

func (a RuneSlice) Len() int           { return len(a) }
func (a RuneSlice) Less(i, j int) bool { return a[i] < a[j] }
func (a RuneSlice) Swap(i, j int)      { a[i], a[j] = a[j], a[i] }

// Main
const INF = 1 << 60

type Edge struct {
	to, cost int
}

type Node struct {
	id, cost int
}

type PQ []Node

func (pq PQ) Len() int           { return len(pq) }
func (pq PQ) Less(i, j int) bool { return pq[i].cost < pq[j].cost }
func (pq PQ) Swap(i, j int)      { pq[i], pq[j] = pq[j], pq[i] }

func (pq *PQ) Push(x interface{}) {
	*pq = append(*pq, x.(Node))
}

func (pq *PQ) Pop() interface{} {
	old := *pq
	n := len(old)
	x := old[n-1]
	*pq = old[0 : n-1]
	return x
}

func main() {
	sc := NewScanner()
	wtr := bufio.NewWriter(os.Stdout)
	N := sc.nextInt()
	E := make([][]Edge, N)
	for i := 0; i < N; i++ {
		id, k := sc.nextInt(), sc.nextInt()
		E[id] = make([]Edge, k)
		for j := 0; j < k; j++ {
			to, cost := sc.nextInt(), sc.nextInt()
			E[id][j] = Edge{to, cost}
		}
	}

	d := make([]int, N)
	for i := 0; i < N; i++ {
		d[i] = INF
	}
	done := make([]bool, N)
	pq := &PQ{}
	heap.Init(pq)
	d[0] = 0
	heap.Push(pq, Node{0, 0})
	for pq.Len() > 0 {
		cur := heap.Pop(pq).(Node).id
		if done[cur] {
			continue
		}
		done[cur] = true
		for i := 0; i < len(E[cur]); i++ {
			to, cost := E[cur][i].to, E[cur][i].cost+d[cur]
			if !done[to] && cost < d[to] {
				d[to] = cost
				heap.Push(pq, Node{to, cost})
			}
		}
	}

	for i := 0; i < N; i++ {
		fmt.Fprintln(wtr, i, d[i])
	}
	wtr.Flush()
}

C++: import queue


class Edge:
    def __init__(self, from_v, to_v, cost):
        self.from_v = from_v
        self.to_v = to_v
        self.cost = cost

    def __lt__(self, other):
        return self.cost < other.cost

    def get_from_v(self):
        return self.from_v

    def get_to_v(self):
        return self.to_v

    def get_cost(self):
        return self.cost


class Vertex:
    def __init__(self, cost, id):
        self.cost = cost
        self.id = id

    def __lt__(self, other):
        return self.cost < other.cost

    def get_cost(self):
        return self.cost

    def get_id(self):
        return self.id


class Dijkstra:
    def __init__(self, number_of_vertex):
        # self.edges = []
        self.graf = [[] for _ in range(number_of_vertex)]
        self.number_of_vertex = number_of_vertex
        self.distance = []  # 最短距離
        self.INF = 1145141919810

    def add_edge(self, from_v, to_v, cost):
        # self.edges.append(Edge(from_v, to_v, cost))
        self.graf[from_v].append(Edge(from_v, to_v, cost))

    def compute_shortest_distance(self, start):
        self.distance = [self.INF] * self.number_of_vertex
        self.distance[start] = 0
        que = queue.PriorityQueue()

        que.put(Vertex(0, start))

        while not que.empty():
            top = que.get()
            cost = top.get_cost()
            id = top.get_id()
            if self.distance[id] < cost: continue
            for a_edge in self.graf[id]:
                to_v = a_edge.get_to_v()
                from_v = a_edge.get_from_v()
                prev_cost = self.distance[from_v]
                next_cost = self.distance[to_v]
                if next_cost > prev_cost + a_edge.get_cost():
                    next_cost = prev_cost + a_edge.get_cost()
                    self.distance[to_v] = next_cost
                    que.put(Vertex(next_cost, to_v))


n = int(input())
dij = Dijkstra(n)

for i in range(n):
    tmp = list(map(int, input().split()))
    u = tmp[0]
    k = tmp[1]
    vc = tmp[2:]
    for j in range(k):
        dij.add_edge(u, vc[2 * j], vc[2 * j + 1])

dij.compute_shortest_distance(0)

for i in range(n):
    print(str(i) + " " + str(dij.distance[i]))

C++: // -*- mode:c++; coding:utf-8; c-basic-offset:2; -*-
// ALDS1_12_C: Single Source Shortest Path II

#include <algorithm>
#include <cstdio>
#include <queue>
#include <utility>
#include <vector>

using uint = unsigned int;

class Graph {
  using vc_t = std::pair<uint, uint>;
  std::vector<std::vector<vc_t>> g_;

public:
  Graph(const uint n) { g_.resize(n); }

  void push_to(const uint u, const uint v, const uint c)
  {
    g_[u].push_back(std::make_pair(v, c));
  }

  void dijkstra(uint* dist)
  {
    auto n = g_.size();
    const uint INFINIT = 100000*(n-1)+1;
    std::fill_n(dist, n, INFINIT);
    auto cmp = [](vc_t left, vc_t right) { return left.second > right.second; };
    std::priority_queue<vc_t, std::vector<vc_t>, decltype(cmp)> q(cmp);
    
    q.push(vc_t(0, 0));
    dist[0] = 0u;
    while (!q.empty()) {
      auto bvc = q.top();
      q.pop();
      auto v = bvc.first, c = bvc.second;
      if (dist[v] < c) {
        continue;
      }
      for (auto vc : g_[v]) {
        auto nv = vc.first, nc = vc.second+c;
        if (dist[nv] < nc) {
          continue;
        }
        dist[nv] = nc;
        q.push(std::make_pair(nv, nc));
      }
    }
  }
};

int main()
{
  uint n;
  std::scanf("%u", &n);

  Graph g(n);

  uint u, k, v, c;
  for (auto i = 0u; i < n; ++i) {
    std::scanf("%u %u", &u, &k);
    for (auto j = 0u; j < k; ++j) {
      std::scanf("%u %u", &v, &c);
      g.push_to(u, v, c);
    }
  }

  uint dist[n];
  g.dijkstra(dist);
  for (auto i = 0u; i < n; ++i) {
    std::printf("%u %u\n", i, dist[i]);
  }
}

// eof

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];
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;
  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;
    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));
      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;
}