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 -*-

level = True
def debug(v):
    if level:
        print(v)

NOT_FOUND = 0
ENQUEUED = 1
FOUND = 2

def bfs(graph, status, results):
    queue = []
    queue.append(1)
    while len(queue) != 0:
        node = queue.pop(0)
        status[node] = FOUND
        d = results[node]
        for edge in graph[node]:
            if status[edge] != NOT_FOUND:
                continue
            status[edge] = ENQUEUED
            queue.append(edge)
            results[edge] = d + 1

    return results

if __name__ == "__main__":
    n = int(input())
    status = [NOT_FOUND] * (n + 1)
    results = [0] * (n + 1)
    g = [[0]]

    for i in range(n):
        row = [int(x) for x in input().split()]
        row.pop(0)
        row.pop(0)
        g.append(row)

    bfs(g, status, results)
    results.pop(0)

    print(results)
    for idx, v in enumerate(results):
        print(idx + 1, v)

Python: n = int(input())

m = [[0 for _ in range(n+1)] for _ in range(n+1)]
mm = [[] for _ in range(n+1)]

for _ in range(n):
	tmp = [int(x) for x in input().split()]
	u,k,l = tmp[0],tmp[1],tmp[2:]
	mm[u] += tmp[2:]
	for x in l:
		m[u][x] = 1
		
dp = [float('inf') for _ in range(n+1)]
queue = [1]

while queue:
	t = queue.pop(0)
	for x in mm[t]:
		if dp[x] > dp[t] + 1:
			dp[x] = dp[t] + 1
			queue.append(x)
		else:
			pass
			
for i,x in enumerate(queue):
	if i == 0:
		pass
	else:
		if x == float('inf'):
			print(i, -1)
		else:
			print(i, x)

Python: import collections

N = int(input())
M = []
for i in range(N):
    a = list(map(int,input().strip().split()))
    b = [int(i+1 in a[2:]) for i in range(N)]
    M.append(b)

D = [-1 for _ in range(N)]
D[0] = 0 # 始点への距離は 0, 他の距離は-1
Q = collections.deque()
Q.append(0) # 始点
while len(Q) > 0:
    #print("bfs", Q) # 各ステップでの Q の動作を確認
    cur = Q.popleft()
    for dst in range(N):
        # curからdstに移動可能かつ、dstが未訪問だったら
        if M[cur][dst] == 1 and D[dst] == -1:
            D[dst] = D[cur]+1
            Q.append(dst) # Qにdstを詰める
for v in range(N):
    print(v+1, D[v])

Python: import heapq
from collections import deque
from enum import Enum
import sys
import math
from _heapq import heappush, heappop

BIG_NUM = 2000000000
MOD = 1000000007
EPS = 0.000000001

class Info:
    def __init__(self,arg_node_id,arg_sum_cost):
        self.node_id = arg_node_id
        self.sum_cost = arg_sum_cost


V = int(input())
ADJ = [[] for i in range(V)]

for loop in range(V):
    input_str = list(map(int,input().split()))
    node_id = input_str[0]-1
    for i in range(input_str[1]):
        ADJ[node_id].append(input_str[2+i]-1)

visited = [False]*V
visited[0] = True

min_dist = [-1]*V
min_dist[0] = 0

Q = deque()
Q.append((Info(0,0)))

while len(Q) > 0:
    info = Q.popleft()
    for next_node in ADJ[info.node_id]:
        if visited[next_node] == True:
            continue
        visited[next_node] = True
        min_dist[next_node] = info.sum_cost+1
        Q.append((Info(next_node,min_dist[next_node])))

for i in range(V):
    print("%d %d"%(i+1,min_dist[i]))

Python: from collections import deque
V = int(input())
edge = [[] for _ in range(V)]
for _ in range(V):
    u, _, *v = map(lambda x: int(x)-1, input().split())
    edge[u] = v
dist = [-1] * V
dist[0] = 0
que = deque([0])

while len(que):
    v = que.popleft()
    for c in edge[v]:
        if dist[c] == -1:
            dist[c] = dist[v] + 1
            que.append(c)
for i, d in enumerate(dist):
    print(i+1, d)

Python: n = int(input())
a = [[] for i in range(n)]

for i in range(n):
    v = list(map(int, input().split()))
    u = v[0] - 1
    for j in v[2:]:
        a[u].append(j-1)

d = [0] * n
isDiscovered = [False] * n

def bfs(x):
    global time_stamp
    isDiscovered [x] = True
    time_stamp += 1
    for i in a[x]:
        if not isDiscovered[i]:
            d[i] = d[x] + 1

bfs(0)
d_ = 1
while not(isDiscovered == [True] * n):
    for i in range(n):
        if d[i] is d_ and not isDiscovered[i]:
            bfs(i)
    d_ += 1

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

Python: from collections import deque

n = int(input())
graph = [[0]]
for _ in range(n):
    u, k, *v = map(int, input().split())
    graph.append(v)

queue = deque([1])
ans = [-1 for _ in range(n + 1)]
ans[1] = 0
while queue:
    cur = queue.popleft()
    for next in graph[cur]:
        if ans[next] != -1:
            continue
        ans[next] = ans[cur] + 1
        queue.append(next)
for i in range(1, n + 1):
    print(i, ans[i])