Go: package main

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

func main() {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)
	sc.Scan()
	num, _ := strconv.Atoi(sc.Text())
	nodes := make(map[int]*node)

	for i := 0; i < num; i++ {
		sc.Scan()
		id, _ := strconv.Atoi(sc.Text())
		sc.Scan()
		nodeNum, _ := strconv.Atoi(sc.Text())
		n := node{id, make([]int, 0), -1}
		for j := 0; j < nodeNum; j++ {
			sc.Scan()
			nid, _ := strconv.Atoi(sc.Text())
			n.nexts = append(n.nexts, nid)
		}
		nodes[id] = &n
	}
	nodes[1].depth = 0

	walk(1, 0, &nodes)
	for i := 1; i < len(nodes)+1; i++ {
		fmt.Printf("%v %v\n", (*nodes[i]).id, (*nodes[i]).depth)
	}
}

var time int
var record [100][100]bool
var q Queue

func walk(nid int, from int, nodes *map[int]*node) {
	q.Enqueue((*nodes)[nid])
	for !q.IsEmpty() {
		n := q.Dequeue().(*node)
		for _, v := range n.nexts {
			n2 := (*nodes)[v]
			if n2.depth != -1 {
				continue
			}
			n2.depth = n.depth + 1
			q.Enqueue((*nodes)[v])
		}
	}
}

type node struct {
	id    int
	nexts []int
	depth int
}

// Queue is Queue
type Queue struct {
	val []interface{}
}

// Enqueue value
func (queue *Queue) Enqueue(val interface{}) {
	queue.val = append(queue.val, val)
}

// Dequeue value
func (queue *Queue) Dequeue() interface{} {
	res := queue.val[0]
	queue.val = queue.val[1:len(queue.val)]
	return res
}

// IsEmpty return true when queue is empty
func (queue *Queue) IsEmpty() bool {
	return len(queue.val) == 0
}

Python: import sys, os, math, bisect, itertools, collections, heapq, queue, copy, array

# from scipy.sparse.csgraph import csgraph_from_dense, floyd_warshall
# from decimal import Decimal
# from collections import defaultdict, deque

sys.setrecursionlimit(10000000)

ii = lambda: int(sys.stdin.buffer.readline().rstrip())
il = lambda: list(map(int, sys.stdin.buffer.readline().split()))
fl = lambda: list(map(float, sys.stdin.buffer.readline().split()))
iln = lambda n: [int(sys.stdin.buffer.readline().rstrip()) for _ in range(n)]

iss = lambda: sys.stdin.buffer.readline().decode().rstrip()
sl = lambda: list(map(str, sys.stdin.buffer.readline().decode().split()))
isn = lambda n: [sys.stdin.buffer.readline().decode().rstrip() for _ in range(n)]

lcm = lambda x, y: (x * y) // math.gcd(x, y)

MOD = 10 ** 9 + 7
MAX = float('inf')


def main():
    if os.getenv("LOCAL"):
        sys.stdin = open("input.txt", "r")

    N = ii()
    visited = [-1] * N
    G = [[False] * N for _ in range(N)]
    for n in range(N):
        u, k, *V = il()
        for v in V:
            G[n][v - 1] = True

    que = queue.Queue()
    que.put(0)
    visited[0] = 0
    while not que.empty():
        now = que.get()
        for n in range(N):
            if G[now][n] and visited[n] == -1:
                visited[n] = visited[now] + 1
                que.put(n)

    for n in range(N):
        print(n + 1, visited[n])


if __name__ == '__main__':
    main()

Python: from collections import deque
n = int(input())
graph = [[] for _ in range(n)]
global Q, S, T
global visited, dis
Q = deque([0])
S = [0] #訪れた順
T = []
visited = [0 for _ in range(n)]
dis = [-1 for _ in range(n)] #初めからの距離
dis[0] = 0
def input_graph(n):
  for _ in range(n):
    node_id, num, *v = list(map(int, input().split()))
    for i in range(num):
      graph[node_id-1].append(v[i]-1)

def bfs(node_id):
  global Q, S
  while Q:
    node_id = Q.popleft()

    for ad_node in graph[node_id]:
      if visited[ad_node] == 1:
        continue
      visited[ad_node] = 1
      dis[ad_node] = dis[node_id] + 1
      S.append(ad_node)
      Q.append(ad_node)

if __name__ == "__main__":
  input_graph(n)
  bfs(0)
  for i, d in enumerate(dis):
    print(i+1, d)

Python: #!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
input:
4
1 2 2 4
2 1 4
3 0
4 1 3

output:
1 0
2 1
3 2
4 1
"""

import sys
from collections import deque

UNVISITED, VISITED_IN_QUEUE, POPPED_OUT = 0, 1, 2


def graph_bfs(v_init):
    queue = deque()
    status[v_init] = VISITED_IN_QUEUE
    distance[v_init] = 0
    queue.appendleft(v_init)

    while queue:
        current = queue.popleft()
        for adj in adj_table[current]:
            if status[adj] is UNVISITED:
                status[adj] = VISITED_IN_QUEUE
                distance[adj] = distance[current] + 1
                queue.append(adj)
        status[current] = POPPED_OUT
    return None


if __name__ == '__main__':
    _input = sys.stdin.readlines()
    v_num = int(_input[0])
    vertices = list(map(lambda x: x.split(), _input[1:]))
    # assert len(vertex_info) == vertex_num

    status = [UNVISITED] * (v_num + 1)
    distance = [-1] * (v_num + 1)

    adj_table = tuple([] for _ in range(v_num + 1))
    for v_info in vertices:
        v_index, adj_num, *adj_list = map(int, v_info)
        # assert len(adj_list) == adj_num
        adj_table[v_index].extend(adj_list)

    graph_bfs(v_init=1)
    for index, v in enumerate(distance[1:], 1):
        print(index, v)

Python: #!/usr/bin/python3

def find(id, V, d, dist):
    i = id - 1
    dist[i] = d
    for v in V[i]:
        if dist[v - 1] == -1:
            find(v, V, d + 1, dist)
    
n = int(input())
# [isFind, d, f]
A = [[False, 0, 0] for i in range(n)]
U = []
V = []
dist = [-1] * n
for i in range(n):
    l = list(map(int, input().split()))
    U.append(l[0])
    V.append(l[2:])

find(1, V, 0, dist)

for u in U:
    print(u, dist[u - 1])

Python: import queue
from collections import namedtuple
T = namedtuple("T", "u d")

n = int(input())
path = dict()
ans = [-1] * (n + 1)

for i in range(n):
    a = [int(x) for x in input().split()]
    a.reverse()

    u, k = a.pop(), a.pop()
    path[u] = set()
    for j in range(k):
        path[u].add(a.pop())


def bfs(s):
    q = queue.Queue()
    q.put(s)

    while q.qsize() != 0:
        p = q.get()
        if p.d < ans[p.u] or ans[p.u] < 0:
            ans[p.u] = p.d
            for r in path[p.u]:
                q.put(T(r, p.d + 1))


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