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())
}

Python: def diikstraMethd(G, s):
    # ?????????
    n = len(G)
    # White:0 Gyay:1 Black:2
    color = [0 for _ in range(n)]
    d = [INF for _ in range(n)]
    p = [None for _ in range(n)]

    d[s] = 0

    while True:
        mincost = INF
        for i in range(n):
            if color[i] != 2 and d[i] < mincost:
                mincost = d[i]
                u = i

        if mincost == INF: break

        color[u] = 2

        for v in range(n):
            if color[v] != 2 and M[u][v] != INF:
                if d[u] + M[u][v] < d[v]:
                    d[v] = d[u] + M[u][v]
                    p[v] = u
                    color[u] = 1

    return d

if __name__ == '__main__':
    n = int(input())
    M = [[INF for _ in range(n)] for i in range(n)]
    for _ in range(n):
        tmp = list(map(int, input().split()))
        u = tmp.pop(0)
        k = tmp.pop(0)
        for _ in range(k):
            v = tmp.pop(0)
            c = tmp.pop(0)
            M[u][v] = c
    d = diikstraMethd(M, 0)

    for i in range(n):
        print('{0} {1}'.format(i, d[i]))

Python: n = int(input())
G = [[-1] * n] * n
d = [0] * n
 
for i in range(n):
    v = map(int, input().split())
    for j in range(v[1]):
        G[v[0]][v[2+2*j]] = int(v[3+2*j])
 
flag = [0] * n
tn = [1]
r = 0
while True:
    for i in range(n):
        if flag[i] == 0 and i in tn:
            flag[i] = 1
            d[i] = r
            for j in range(n):
                if G[i][j] != -1 and flag[j] == 0:
                    tn.append(j)
    if len(tn) == n:
        break
    r += 1
 
for i in range(1, n+1):
    print(str(i) + " " + str(d[i]))

Python: n = int(raw_input())
G = [[-1] * n] * n
d = [0] * n
 
for i in range(n):
    v = map(int, raw_input().split())
    for j in range(v[1]):
        G[v[0]][v[2+2*j]] = int(v[3+2*j])
 
flag = [0] * n
tn = [0]
r = 0
while True:
    for i in range(n):
        if flag[i] == 0 and i in tn:
            flag[i] = 1
            d[i] = r
            for j in range(n):
                if G[i][j] != -1 and flag[j] == 0:
                    tn.append(j)
    if len(tn) == n:
        break
    r += 1
 
for i in range(n):
    print(str(i) + " " + str(d[i]))

Python: import sys
input = sys.stdin.readline


# import heapq
import heapq

# graph: 隣接リスト (頂点、距離）の順に格納
# start: 始点 (0-index)
# n: 頂点数
# memo[t]: startからtまでの最短距離
# return memo

def dijkstra(graph, start, n):
    INF = float('inf')
    memo = [INF] * n
    memo[start] = 0
    q = [(0, start)]

    while q:
        dist, ver = heapq.heappop(q)
        if memo[ver] < dist:
            continue
        for next_ver, next_dist in graph[ver]:
            if memo[next_ver] > dist + next_dist:
                memo[next_ver] = dist + next_dist
                heapq.heappush(q, (dist + next_dist, next_ver))

    return memo

n = int(input())
graph = [[] for i in range(n)]
for i in range(n):
    info = list(map(int, input().split()))
    for j in range(info[1]):
        graph[info[0]].append((info[j*2 + 2], info[j*2 + 3]))

memo = dijkstra(graph, 0, n)
for i, d in enumerate(memo):
    print(i, d)

Python: # -*- coding: utf-8 -*-


if __name__ == '__main__':

    n = int(input())
    M = [[float("inf") for j in range(n)] for i in range(n)]

    for i in range(n):
        l = list(map(int, input().split(" ")))
        for k in range(l[1]):
            j = l[2 + 2 * k]
            c = l[2 + 2 * k + 1]
            M[i][j] = c

    d = [float("inf")] * n

    def dijkstra(s):
        color = [0] * n
        p = [None] * n
        d[s] = 0
        p[s] = -1

        while True:
            mincost = float("inf")
            for i in range(n):
                if color[i] != 2 and d[i] < mincost:
                    mincost = d[i]
                    u = i

            if mincost == float("inf"):
                break

            color[u] = 2

            for v in range(n):
                if color[v] != 2:
                    if d[u] + M[u][v] < d[v]:
                        d[v] = d[u] + M[u][v]
                        p[v] = u
                        color[v] = 1

    dijkstra(0)
    for i in range(n):
        print(i, d[i])

Python: import heapq


def dijkstra(g, source):
    n = len(g)
    q = []
    heapq.heapify(q)
    heapq.heappush(q, (0, source))
    d = [float('inf') for _ in range(n)]
    d[source] = 0
    while len(q) > 0:
        cur = heapq.heappop(q)
        cur_pos = cur[1]
        for next in g[cur_pos]:
            next_pos = next[0]
            next_d = d[cur_pos] + next[1]
            if next_d < d[next_pos]:
                d[next_pos] = next_d
                heapq.heappush(q, (d[next_pos], next_pos))
    return d


def main():
    n = int(input())
    g = [[] for _ in range(n)]
    for _ in range(n):
        inp = list(map(int, input().split()))
        m = inp[0]
        k = inp[1]
        for i in range(k):
            g[m].append((inp[(i+1)*2], inp[(i+1)*2+1]))
    d = dijkstra(g, 0)
    for i in range(n):
        print(i, d[i])


if __name__ == '__main__':
    main()