Go: package main

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

const (
	MAX_N      = 10000
	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{0}, shortestList, adjacentMatrix)
	for _, v := range shortestList {
		fmt.Printf("%d %d\n", v.getEnd(), v.shortest)
	}
}

func (si ShortestInfo) getEnd() int {
	if len(si.edges) == 0 {
		return 0
	} 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]
}

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] = shortestInfo
}

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

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

C++: #include<iostream>
#include<vector>
#include<climits>
#include<cmath>
#include<queue>

using namespace std;

struct edge {
  int to, cost;
};

struct state {
  int pos, cost;

  bool operator < (const state& s) const {
    return cost > s.cost;
  }
};

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

  vector< vector<edge> > edges(n, vector<edge>());
  for (int i = 0; i < n; i++) {
    int u, k; cin >> u >> k;

    while (k--) {
      int to, cost; cin >> to >> cost;
      edges[u].push_back((edge) { to, cost});
    }
  }

  priority_queue<state> queue;
  vector<int> costs(n, INT_MAX);
  costs[0] = 0;
  queue.push((state) {0, 0});

  while(!queue.empty()) {
    const state now = queue.top();
    queue.pop();

    if (costs[now.pos] < now.cost) continue;
    
    for (int i = 0; i < edges[now.pos].size(); i++) {
      state nex = now;
      nex.pos = edges[now.pos][i].to;
      nex.cost += edges[now.pos][i].cost;
      if (costs[nex.pos] > nex.cost) {
        costs[nex.pos] = nex.cost;
        queue.push(nex);
      }
    }
  }

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

C++: #include<iostream>
#include <queue>
using namespace std;

#define INFTY (1 << 30)

//???????????????
enum Color {
	WHITE,
	GRAY,
	BLACK,
};


//SSSP
void Dijkstra(vector<pair<int, int>> v_w_m[], int verNum) {

	//???????¨????
	priority_queue<pair<int, int>> pQ;
	int distance[100];
	Color color[100];
	int parent[100];
	for (int i = 0; i < verNum; i++) {
		color[i] = WHITE;
		distance[i] = INFTY;
		parent[i] = -1;
	}
	distance[0] = 0;
	pQ.push(make_pair(0, 0));


	//SSSP??????
	while (!pQ.empty()) {

		//??°??¬????????????????????????????°?????????????????????¶
//		int min_cost = INFTY;
		int subScript;
		pair<int, int> wei_sub_map = pQ.top();
		pQ.pop();
		subScript = wei_sub_map.second;
		//for (int i = 0; i < verNum; i++) {
		//	if (color[i] != BLACK && distance[i] < min_cost) {
		//		min_cost = distance[i];
		//		subScript = i;
		//	}
		//}

		//?????????????????????
		color[subScript] = BLACK;

		//???????????????????????°??????????????????????????????????????????
		if (distance[subScript] < wei_sub_map.first * -1)
			continue;

		//??£??\?????°??¬??????
		for (int i = 0; i < v_w_m[subScript].size(); i++) {
			int outV = v_w_m[subScript][i].first;
			if (color[outV] == BLACK) continue;
			if (distance[outV] < distance[subScript] + v_w_m[subScript][i].second) continue;

			distance[outV] = distance[subScript] + v_w_m[subScript][i].second;
			parent[outV] = subScript;
			color[outV] = GRAY;
			pQ.push(make_pair(distance[outV] * -1, outV));
		}
	}

	//??????
	int weight_sum = 0;
	for (int i = 0; i < verNum; i++) {
		cout << i << " " << distance[i] << endl;
	}
}


int main() {

	int verNum;
//	int verValWeight[100][100];
	vector<pair<int, int>> v_w_m[10000];
	int parent[100];

	//???????¨????
//	v_w_m = new vector<pair<int, int>>();
	cin >> verNum;
	//for (int i = 0; i < verNum; i++)
	//	for (int j = 0; j < verNum; j++)
	//		verValWeight[i][j] = INFTY;

	//??\?????????
	for (int i = 0; i < verNum; i++) {
		int verVal, outNum;
		cin >> verVal >> outNum;
		for (int j = 0; j < outNum; j++) {
			int outVerVal, weight;
			cin >> outVerVal >> weight;
//			v_w_m[verVal].push_back(make_pair(outVerVal, weight));
			v_w_m[verVal].push_back(make_pair(outVerVal, weight));
			//			verValWeight[i][outVerVal] = weight;
		}
	}

	//SSSP
	Dijkstra(v_w_m, verNum);

	return 0;
}