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: n = int(input())

graphs = []

for _ in range(n):
    graphs.append(list(map(int, input().split()))[2:])


def bfs(graphs, seen_points, score, scores, queue):
    while len(queue) > 0:
        start_point = queue.pop(0)
        if seen_points[start_point - 1] == 2:
            continue
        else:
            next_points = [
                point for point in graphs[start_point - 1] if seen_points[point - 1] == 0]
            if len(next_points) >= 1:
                score += 1
                for point in next_points:
                    queue.append(point)
                    if seen_points[point - 1] == 0:
                        seen_points[point - 1] = 1
                        scores[point - 1] = scores[start_point - 1] + 1
                seen_points[start_point - 1] = 2


seen_points = [0 for _ in range(n)]
scores = [-1 for _ in range(n)]
scores[0] = 0
queue = [1]
bfs(graphs, seen_points, 0, scores, queue)

for index, score in enumerate(scores):
    print(index + 1, score)

Python: import sys
input = sys.stdin.readline

#入力と違って０オリジンとなっているので注意
n = int(input())
li = [[0] * n for _ in range(n)] #隣接行列、０オリジン li[i][j]:iからjへの有向グラフがある
for i in range(n):
    x, y, *v = [int(x)-1 for x in input().split()]
    for j in v:
        li[i][j] = 1 #有向グラフがあるところは１、ないところは０となる

from collections import deque
Q = deque([0]) #初期条件
finish = [0] #訪問済みの頂点をしまう
len_ = [-1]*n #頂点jの頂点０からの距離、できなかったらー１と返す
len_[0] = 0 #初期条件
while Q: #Qがからでない限り以下の操作を繰り返す
    i = Q.popleft()
    for j in range(n):
        if li[i][j] == 1: #iからjへの道が存在する場合
            if not j in finish: #まだjが探索済みじゃなかったら以下の操作を行う
                finish.append(j)
                Q.append(j)
                len_[j] = len_[i] + 1
        else:
            continue
for i in range(n):
    print(str(i+1) + ' ' + str(len_[i]))

Python: n = int(input())
graph = {}
d = [-1] * (n+1)
for i in range(n):
    t = list(map(int, input().split()))
    v = t[0]
    k = t[1]
    graph[v] = [t[i+2] for i in range(k)]

from queue import Queue

def bfs(s):
    d[s] = 0
    q=Queue()
    q.put(s)
    while not q.empty():
        v=q.get()
        for child in graph[v]:
            if d[child] != -1: continue
            d[child] = d[v] + 1
            q.put(child)
bfs(1)
for i in range(1, n+1):print(i,d[i])

Python: from sys import stdin
from collections import deque
n = int(stdin.readline())
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] < 0:
                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, stdin.readline().split()[2:])) for i in range(n)]
bfs()

Python: N= int(input())
E = [input().split()[2:] for _ in range(N)]
Q = [0]
L = [0] + [-1]*N
frag = [1] + [0]*N
def func(ide):
    global Q
    for i in E[ide]:
        i = int(i) - 1
        if frag[i] != 1:frag[i] = 1;L[i] = L[ide] +1 ;Q.append(i)
        else:return None
    

while Q:top = Q[0];func(top);del Q[0]

for i in range(N):print(i + 1 ,int(L[i]))

Python: n = int(input())

adj = [None]
for i in range(n):
    adj_i = list(map(int, input().split()[2:]))
    adj.append(adj_i)

isSearched = [None] + [False] * n

distance = [None] + [-1] * n

import collections

def bfs(u):
    isSearched[u] = True
    distance[u] = 0
    edge = collections.deque()
    edge.append(u)
    while edge:
        c_e = edge.popleft()
        for n_e in adj[c_e]:
            if not isSearched[n_e]:
                isSearched[n_e] = True
                distance[n_e] = distance[c_e] + 1
                edge.append(n_e)


bfs(1)

for i, x in enumerate(distance[1:], start=1):
    print(i, x)

Python: #!/usr/bin/env python3
# -*- coding: utf-8 -*-

import sys


def bfs(matrix):
    distances = [-1 for _ in range(len(matrix))]
    queue = [0]
    distances[0] = 0

    while 0 < len(queue):
        node_id = queue.pop(0)  # Dequeue
        distance = distances[node_id]
        for index, candidate in enumerate(matrix[node_id]):
            if candidate == 1 and distances[index] == -1:
                # ???????????¢????¨?????????????????????? node
                queue.append(index)
                distances[index] = distance + 1

    return distances

if __name__ == "__main__":
    # ??????????????????
    # lines = [
    #     "4",
    #     "1 2 2 4",
    #     "2 1 4",
    #     "3 0",
    #     "4 1 3",
    # ]
    lines = sys.stdin.readlines()
    dimension = int(lines[0])
    matrix = [[0 for _ in range(dimension)] for _ in range(dimension)]

    # Set edge info
    for index, line in enumerate(lines[1:]):
        for edge in [int(x) for x in line.strip().split(" ")[2:]]:
            matrix[index][edge - 1] = 1

    distances = bfs(matrix)
    for index, distance in enumerate(distances):
        print("%d %d" % (index + 1, distance))