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++: 
#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]) << "\n";
	}
}

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>
#define INF 1e9
using namespace std;
typedef pair<uint32_t,uint32_t> P;

int bitSearchReverse(uint32_t x){
    if(x==0)return -1;
    return 31-__builtin_clz(x);
}
struct RadixHeap{
    vector<P>v[33];
    uint32_t last,sz;
    RadixHeap(){
        last=sz=0;
    }
    void push(P p){
        assert(last<=p.first);
        sz++;
        v[bitSearchReverse(p.first^last)+1].push_back({p.first,p.second});
    }
    P top(){
        return pop(false);
    }
    P pop(bool f=true){
        assert(sz);
        if(!v[0].size()){
            int i=1;
            while(!v[i].size())++i;
            last=min_element(v[i].begin(),v[i].end())->first;
            for(P p:v[i])v[bitSearchReverse(p.first^last)+1].push_back(p);
            v[i].clear();
        }
        P r=v[0].back();
        if(f){
            sz--;
            v[0].pop_back();
        }
        return r;
    }
    int size(){
        return sz;
    }
    bool empty(){
        return sz==0;
    }
    void clear(){
        last=sz=0;
        for(auto a:v)a.clear();
    }
};
struct Graph{
    Graph(int n):E(n),d(n){}
    vector<vector<P>>E;
    vector<uint32_t>d;
    void add_edge(int a,int b,uint32_t c){
        E[a].emplace_back(b,c);
    }
    void dijkstra(int s){
        RadixHeap H;
        fill(d.begin(),d.end(),INF);
        H.push({d[s]=0,s});
        while(H.size()){
            P e=H.top();H.pop();
            if(e.first>d[e.second])continue;
            for(P& a:E[e.second]){
                uint32_t x=a.first,y=a.second+e.first;
                if(y<d[x])d[x]=y,H.push({y,x});
            }
        }
    }
};

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;
        for(int j=0;j<k;++j){
            int v,c;
            cin>>v>>c;
            G.add_edge(u,v,c);
        }
    }
    G.dijkstra(0);
    for(int i=0;i<N;++i)
        cout<<i<<' '<<G.d[i]<<endl;
}

/***************************************

referred
https://github.com/yosupo06/Algorithm/blob/master/datastructure/buf/RadixHeap.h

****************************************/

C++: #include <bits/stdc++.h>
#define int long long

using namespace std;
const int INF = 1e18;

struct edge
{
    int to;
    int cost;
};
using Graph = vector<vector<edge>>;

#define WHITE 0
#define GRAY 1
#define BLACK 2

int n;
Graph G;

void dijkstra(int start)
{
    int seen[10010];
    int dist[10010];

    priority_queue<pair<int, int>, vector<pair<int, int>>, greater<pair<int, int>>> pq;
    for (int i = 0; i < n; i++)
    {
        seen[i] = (i == start) ? GRAY : WHITE;
        dist[i] = (i == start) ? 0 : INF;
        pq.push(make_pair(dist[i], i));
    }

    while (!pq.empty())
    {
        auto now = pq.top();
        pq.pop();
        int u = now.second;
        int distU = now.first;

        seen[u] = BLACK;

        for (auto ne : G[u])
        {
            int v = ne.to;
            int cv = ne.cost;
            if (dist[u] + cv < dist[v])
            {
                dist[v] = dist[u] + cv;
                pq.push(make_pair(dist[v], v));
                seen[v] = GRAY;
            }
        }
    }

    for (int i = 0; i < n; i++)
        cout << i << " " << dist[i] << endl;
}

void solve()
{

    // remove the bottom 3 lines when you submit this code.
    std::ifstream in("sample.txt");
    std::cin.rdbuf(in.rdbuf());

    cin.tie(0);
    ios::sync_with_stdio(false);

    cin >> n;
    G.resize(n);

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

    dijkstra(0);
}

signed main()
{
    solve();
    return 0;
}