Go: package main

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

const (
	MAX_N      = 100
	MAX_WEIGHT = 100000
)

type Edge struct {
	start  int
	end    int
	weight int
}

type ShortestInfo struct {
	edges    []Edge
	shortest int
}

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

	n, err := nextInt(sc)
	if err != nil {
		panic(err)
	}

	shortestList := make([]ShortestInfo, n)
	for i := 1; i < n; i++ {
		shortestList[i] = ShortestInfo{edges: []Edge{}, shortest: MAX_N*MAX_WEIGHT + 1}
	}

	adjacentMatrix, err := createAdjacentMatrix(n, sc)
	if err != nil {
		panic(err)
	}

	sssp([]int{1}, shortestList, adjacentMatrix)
	for _, v := range shortestList {
		fmt.Printf("%d %d\n", v.getEnd()-1, v.shortest)
	}
}

func (si ShortestInfo) getEnd() int {
	if len(si.edges) == 0 {
		return 1
	} else {
		return si.edges[len(si.edges)-1].end
	}
}

func createAdjacentMatrix(n int, sc *bufio.Scanner) ([][]int, error) {
	adjacentMatrix := make([][]int, n)
	for i := 0; i < n; i++ {
		id, err := nextInt(sc)
		if err != nil {
			return nil, err
		}
		adjacentMatrix[id] = make([]int, n)
		for j := 0; j < n; j++ {
			adjacentMatrix[id][j] = -1
		}
		vertexNum, err := nextInt(sc)
		if err != nil {
			return nil, err
		}
		for j := 0; j < vertexNum; j++ {
			v, err := nextInt(sc)
			if err != nil {
				return nil, err
			}
			c, err := nextInt(sc)
			if err != nil {
				return nil, err
			}
			adjacentMatrix[id][v] = c
		}
	}
	return adjacentMatrix, nil
}

func sssp(nodeStack []int, shortestList []ShortestInfo, adjacentMatrix [][]int) {
	for len(nodeStack) > 0 {
		currentNode := nodeStack[0]
		nodeStack = nodeStack[1:]
		currentShortest := getShortest(currentNode, shortestList)
		adjacents := findAdjacents(currentNode, adjacentMatrix)
		for i := 0; i < len(adjacents); i++ {
			adj := adjacents[i]
			if currentShortest.shortest+adj.weight < getShortest(adj.end, shortestList).shortest {
				setShortest(adj.end, adj, currentShortest, shortestList)
				nodeStack = append(nodeStack, adj.end)
			}
		}
	}
}

func getShortest(node int, shortestList []ShortestInfo) ShortestInfo {
	return shortestList[node-1]
}

func setShortest(node int, edge Edge, currentShortest ShortestInfo, shortestList []ShortestInfo) {
	newEdges := make([]Edge, len(currentShortest.edges)+1)
	for i := 0; i < len(newEdges)-1; i++ {
		newEdges[i] = currentShortest.edges[i]
	}
	newEdges[len(newEdges)-1] = edge
	shortestInfo := ShortestInfo{edges: newEdges, shortest: currentShortest.shortest + edge.weight}
	shortestList[node-1] = shortestInfo
}

func findAdjacents(currentNode int, adjacentMatrix [][]int) []Edge {
	adjacents := adjacentMatrix[currentNode-1]
	edges := []Edge{}
	for i, v := range adjacents {
		if v > 0 {
			edges = append(edges, Edge{start: currentNode, end: i + 1, weight: v})
		}
	}
	return edges
}

func nextInt(sc *bufio.Scanner) (int, error) {
	sc.Scan()
	return strconv.Atoi(sc.Text())
}

C++: #include <iostream>
#include <string>
#include <sstream>
#include <limits>
#include <vector>
#include <queue>
#include <unordered_map>
#include <unordered_set>
#include <algorithm>
#include <numeric>

using namespace std;

// 隣接リストを用いたグラフ構造
template <typename Vertex, typename Edge>
struct Graph
{
	// 頂点
	vector<Vertex> vertices;
	// 第i頂点を始点とする有向辺の終点
	vector<unordered_map<int, Edge>> edges;

	// n個の頂点を事前に生成する
	void resize (size_t n)
	{
		vertices.resize(n);
		edges.resize(n);
	}

	// 頂点n個分のメモリ領域を事前に確保する
	void reserve (size_t n)
	{
		vertices.reserve(n);
		edges.reserve(n);
	}

	// 位数（頂点数）
	size_t order ()
	{
		return vertices.size();
	}

	// サイズ（辺の数）
	size_t size ()
	{
		return accumulate(edges.begin(), edges.end(), static_cast<size_t>(0), [](size_t sum, unordered_map<int, Edge> &edge){ return sum + edge.size(); });
	}

	// 頂点を追加する
	void addVertex (const Vertex &vertex)
	{
		vertices.push_back(vertex);
		edges.emplace_back();
	}

	// 有向辺を追加する
	void addEdge (int from, int to, const Edge &edge)
	{
		edges[from][to] = edge;
	}

	// 有向辺を削除する
	void removeEdge (int from, int to)
	{
		edges[from].erase(to);
	}
};

// 使用例（Dijkstra法）
struct Dijkstra : public Graph<nullptr_t, int>
{
	vector<int> weight;

	void dijkstra (int from)
	{
		weight.resize(order());
		fill(weight.begin(), weight.end(), numeric_limits<int>::max());

		auto compare = [this] (int l, int r) { return weight[l] > weight[r]; };
		priority_queue<int, vector<int>, decltype(compare)> fixed(compare);

		weight[from] = 0;
		fixed.push(from);

		while (!fixed.empty())
		{
			int vertex = fixed.top();
			fixed.pop();

			// to = { first: dest_index, second: edge_weight }
			for (auto to : edges[vertex])
			{
				if (weight[to.first] <= weight[vertex] + to.second) continue;

				weight[to.first] = weight[vertex] + to.second;
				fixed.push(to.first);
			}
		}
	}
};

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

	Dijkstra dijkstra;
	dijkstra.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;

			dijkstra.addEdge(u, v, c);
		}
	}

	dijkstra.dijkstra(0);

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

	return 0;
}

C++: #include <iostream>
using namespace std;
static const int MAX = 100;
static const int INF = (1 <<21);
static const int WHITE = 0;
static const int GRAY = 1;
static const int BLACK = 2;

int n, M[MAX][MAX];

void dijkstra(){
    int minv;
    int d[MAX], color[MAX];

    for(int i=0; i<n; i++){
        d[i] = INF;
        color[i] = WHITE;
    }

    d[0] = 0;
    color[0] = GRAY;
    while(true){
        minv = INF;
        int u = -1;
        for(int i=0; i<n; i++){
            if(minv > d[i] && color[i] != BLACK){
                u = i;
                minv = d[i];
            }
        }
        if(u == -1) break;
        color[u] = BLACK;
        for(int v=0; v<n; v++){
            if(color[v] != BLACK && M[u][v] != INF){
                if(d[v] > d[u] + M[u][v]){
                    d[v] = d[u] + M[u][v];
                    color[v] = GRAY;
                }
            }
        }
    }
    for(int i=0; i<n; i++){
        cout << i << " " << (d[i] == INF ? -1 : d[i]) << endl;
    }
}


int main() 
{
    ios::sync_with_stdio(false);
    cin >> n;
    for(int i=0; i<n; i++){
        for(int j=0; j<n; j++){
            M[i][j] = INF;
        }
    }
    
    int k, c, u, v;
    for(int i=0; i<n; i++){
        cin >> u >> k;
        for(int j=0; j<k; j++){
            cin >> v >> c;
            M[u][v] = c;
        }
    }
    
    dijkstra();
    
    return 0;
}

C++: #include <bits/stdc++.h>
using namespace std;
#define rep(i, n) for(int i=0; i<(n); i++)
#define NIL -1
#define WHITE 0
#define GRAY 1
#define BLACK 2
#define INF 1 << 21

//ダイクストラ法
void dijkstra(vector<vector<int> > &graph, int n){

    vector<int> cost(n, INF);
    vector<int> color(n, WHITE);

    cost[0] = 0;
    color[0] = GRAY;
    while(1){
        int minv = INF;
        int u = NIL;    //現在地
        rep(i, n){
            if(cost[i] < minv && color[i] != BLACK){
                minv = cost[i];
                u = i;
            }
        }
        if(u == NIL) break;

        color[u] = BLACK;
        rep(j, n){
            if(color[j] != BLACK && graph[u][j] != NIL){
                if(cost[j] > cost[u] + graph[u][j]){
                    cost[j] = cost[u] + graph[u][j];
                    color[j] = GRAY;
                }
            }
        }
    }

    rep(i, n){
        cout << i << " " << cost[i] << endl;
    }
}

int main() {

    int n;
    cin >> n;
    vector<vector<int> > graph(n, vector<int>(n, INF));
    int k, c, u , v;
    rep(i, n){
        cin >> u >> k; //u 頂点  k 隣接リストの個数
        rep(j, k){
            cin >> v;      //隣接リストの番号
            cin >> graph[u][v]; //隣接リストの重み
        }
    }

    dijkstra(graph, n);

    return 0;
}