Go: package main

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

var scanner = bufio.NewScanner(os.Stdin)

func nextString() string {
	scanner.Scan()
	return scanner.Text()
}

func nextInt() int {
	n, err := strconv.Atoi(nextString())
	if err != nil {
		fmt.Printf("strconv.Atoi failed: %v\n", err)
	}
	return n
}

func stringifyArray(arr []int) string {
	return strings.TrimRight(fmt.Sprintf("%+v", arr)[1:], "]")
}

var infty = 1000000000

type nodeKey int

type DirectedGraphNode struct {
	key       nodeKey
	adjacents []*DirectedGraphNode
	visited   bool
	d         int
	parent    *DirectedGraphNode
}

type DirectedGraph struct {
	nodes []DirectedGraphNode
}

func (g *DirectedGraph) setAdjacency(l, r nodeKey) {
	g.nodes[l].adjacents = append(g.nodes[l].adjacents, &g.nodes[r])
}

func newDirectedGraph(nNodes int) *DirectedGraph {
	graph := DirectedGraph{}
	graph.nodes = make([]DirectedGraphNode, nNodes)
	for iNodes := 0; iNodes < nNodes; iNodes++ {
		graph.nodes[iNodes].key = nodeKey(iNodes)

		graph.nodes[iNodes].visited = false
		graph.nodes[iNodes].d = infty
		graph.nodes[iNodes].parent = nil
	}
	return &graph
}

type QueueEntry struct {
	node *DirectedGraphNode
	next *QueueEntry
}

type Queue struct {
	head, tail *QueueEntry
}

func (q *Queue) enqueue(node *DirectedGraphNode) {
	entry := QueueEntry{}
	entry.node = node

	if q.tail == nil {
		q.head = &entry
		q.tail = &entry
		return
	}

	q.tail.next = &entry
	q.tail = q.tail.next
}

func (q *Queue) dequeue() *QueueEntry {
	if q.head == nil {
		return nil
	}
	poped := q.head
	q.head = q.head.next
	if q.head == nil {
		q.tail = nil
	}
	return poped
}

func (q *Queue) isEmpty() bool {
	return q.head == nil
}

func fillDistancesByBreadthFirstSearch(g *DirectedGraph, startNode *DirectedGraphNode) {
	startNode.visited = true
	startNode.d = 0

	queue := Queue{}
	queue.enqueue(startNode)
	for !queue.isEmpty() {
		u := queue.dequeue().node
		for _, adjacent := range u.adjacents {
			if !adjacent.visited {
				adjacent.visited = true
				adjacent.d = u.d + 1
				adjacent.parent = u
				queue.enqueue(adjacent)
			}
		}
		u.visited = true
	}
}

func main() {
	scanner.Split(bufio.ScanWords)

	nNodes := nextInt()
	g := newDirectedGraph(nNodes + 1)

	for iNode := 0; iNode < nNodes; iNode++ {
		nodeKeyLeft := nodeKey(nextInt())
		nAdj := nextInt()
		for iAdj := 0; iAdj < nAdj; iAdj++ {
			nodeKeyRight := nodeKey(nextInt())
			g.setAdjacency(nodeKeyLeft, nodeKeyRight)
		}
	}

	// fmt.Println(g)
	fillDistancesByBreadthFirstSearch(g, &g.nodes[1])
	// fmt.Println(g)

	for iNode := 1; iNode <= nNodes; iNode++ {
		node := g.nodes[iNode]
		distance := node.d
		if distance == infty {
			distance = -1
		}
		fmt.Println(node.key, distance)
	}
}

Python: # -*- coding: utf-8 -*-
from collections import deque


if __name__ == '__main__':

    n = int(input())
    M = [[0 for i in range(n)] for j in range(n)]
    for _ in range(n):
        l = list(map(int, input().split(" ")))
        u = l[0]
        k = l[1]
        if k != 0:
            for v in l[2:]:
                M[u - 1][v - 1] = 1

    color = [0] * n
    d = [float("inf")] * n
    Q = deque()

    def bfs(s):  # breadth-first search
        color[s] = 1
        d[s] = 0
        Q.append(s)

        while len(Q) != 0:
            u = Q.popleft()
            for v in range(n):
                if M[u][v] == 1 and color[v] == 0:
                    color[v] = 1
                    d[v] = d[u] + 1
                    Q.append(v)
            color[u] = 2

    bfs(0)
    for i in range(n):
        print(i + 1, d[i])

Python: n=int(input())
G=[[0,[],0,-1]]
for i in range(n):
    v=[int(j) for j in input().split(" ")]
    u=v.pop(0)
    k=v.pop(0)
    G.append([k,v,0,-1])





distance=0
dis_list=[1]
G[1][3]=0
G[1][2]=1
while len(dis_list)!=0:
    distance+=1
    dis_list_cash=[]
    for i in dis_list:
        k=G[i][0]
        v=G[i][1]
        for j in range(k):
            if G[v[j]][2]==0:
                G[v[j]][2]=1
                G[v[j]][3]=distance
                dis_list_cash.append(v[j])
    
    dis_list=dis_list_cash



for i in range(1,n+1):
    print(str(i)+" "+str(G[i][3]))

Python: n = int(input())
E = [[]]*n

for i in range(n):
    inputs = list(map(int, input().split()))
    if inputs[1]>0:
        for e in inputs[2:]:
            E[i] = E[i] + [e-1]

visited = [-1]*n
dist = [-1]*n
dist[0] = 0

from collections import deque

d = deque()
d.append(0)
visited[0] = 1

while len(d):
    nd = d.popleft()
    #print(nd, E[nd])
    for e in E[nd]:
        #print(e)
        if visited[e]<0:
            d.append(e)
            dist[e] = dist[nd] + 1
            visited[e] = 1
    #print(d, visited, dist, len(d))
            

for i in range(n):
    print(i+1, dist[i])

Python: # vim: set fileencoding=utf-8:
import sys
import collections
INF = 10000000
queue = collections.deque()  # appendleft(), pop()
n = int(input())
graph = [[0] * (n+1) for _ in range(n+1)]
yet = [i for i in range(1, n+1)]
ans = [-1] * (n+1)
for i in range(1, n+1):
    tmp = [int(ele) for ele in input().split()]
    for adjc in tmp[2:]:
        graph[i][adjc] = 1

d = [INF] * (n+1)
d[1] = 0


def main():
    global queue, d
    queue.appendleft(1)
    bfs(queue)
    d = list(map(lambda x: -1 if x == INF else x, d))
    for i in range(1, n+1):
        print(str(i) + " " + str(d[i]))


def bfs(queue):
    global graph, yet
    if len(queue) == 0:
        return

    n = queue[-1]
    yet.remove(n)

    # 各ノードとの隣接状態をみていく
    for i, adjacency in enumerate(graph[n]):
        if adjacency == 1 and i in yet and i not in queue:  # 隣接 かつ 未探索 かつ queueにもない 待ち行列に加える
            queue.appendleft(i)
            # 隣接していれば、自分自身までの最短コストに1を加えたものとの min() を計算する
            d[i] = min(d[i], d[n] + 1)
    else:
        queue.pop()
        bfs(queue)


if __name__ == "__main__":
    main()

Python: from sys import stdin
from collections import deque
n = int(input())
d = [-1] * (n + 1)
def bfs():
    d[1] = 0
    dq = deque([1])
    while len(dq) != 0:
        v = dq.popleft()
        for c in G[v]:
            if d[c] != -1 : continue
            d[c] = d[v] + 1
            dq.append(c)
    for i, x in enumerate(d[1:], start=1):
        print(i, x)
G = [0] + [list(map(int, input().split()[2:])) for i in range(n)]
bfs()

Python: from collections import deque
n = int(input())

g = [[] for _ in range(n)]
for i in range(n):
    _, _, *edge = map(lambda x: int(x)-1, input().split())

    g[i] = edge

q = deque()
q.append(0)
dist = [-1 for _ in range(n)]
dist[0] = 0

while(len(q) > 0):
    v = q.popleft()

    for nv in g[v]:
        if(dist[nv] != -1): continue
        
        dist[nv] = dist[v] + 1
        q.append(nv)

for i in range(n):
    print(i+1, dist[i])

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

def BFS(adj, start):
    n = len(adj)
    d = [-1] * n
    flag = [0] * n
    Q = []

    Q.append(start)
    d[start] = 0
    flag[start] = 1

    while len(Q) != 0:
        u = Q.pop(0)
        v = [i for i, x in enumerate(adj[u]) if (x == 1) and (flag[i] == 0)] # v <= ??£??\???????????????????????¢?´¢??????????????????
        
        for i in v:
            Q.append(i)
            d[i] = d[u] + 1
            flag[i] = 1
    
    return d

def main():
    n = int(input())
    adj = [[0 for i in range(n)] for j in range(n)]
    
    for i in range(n):
        tmp = list(map(int, input().split()))
        u = tmp[0]
        u = u -1
        k = tmp[1]
        v = tmp[2:]
        for j in range(k):
            adj[u][v[j]-1] = 1
    
    d = BFS(adj, 0)
    for i in range(n):
        print(i+1, d[i])


if __name__ == "__main__":
    main()