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())
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 = [-1] * n
isDiscovered = [False] * n

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

d_ = 0
isDiscovered [0] = True
d[0] = 0
bfs(0)

flag = True
while flag:
    flag = False
    for i in range(n):
        if d[i] is d_ :
            flag = True
            bfs(i)
    d_ += 1

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

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()
    visited[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 visited[adj] is UNVISITED:
                visited[adj] = VISITED_IN_QUEUE
                distance[adj] = distance[current] + 1
                queue.append(adj)
        visited[current] = POPPED_OUT
    return None


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

    visited = [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: 
def bfs(s):  # たぶんstartのs
    global n, M, color, d, q

    q.append(s)
    d[s] = 0

    while len(q) != 0:
        u = q.pop(0)

        for v in range(n):
            if M[u][v] != 1:
                continue

            if color[v] == 'WHITE':
                q.append(v)
                color[v] = 'GRAY'
                d[v] = d[u] + 1

        color[u] = 'BLACK'


n = int(input())

M = [[0 for i in range(n)] for j in range(n)]
color = ['WHITE'] * n  # 各頂点の色を記録。ホワイト（未探索）、グレイ（探索中）、ブラック（探索ずみ）
d = [-1] * n  # 始点0からvまでの距離
q = []

for i in range(n):
    _ = list(map(int, input().split()))
    u = _[0] - 1  # 0オリジンに変換

    degree = _[1]
    for j in range(degree):
        v = _[j+2] - 1  # 0オリジンに変換
        M[u][v] = 1

# for row in M:
#     print(' '.join(map(str, row)))

bfs(0)

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

Python: N= int(input());E = [input().split()[2:] for _ in range(N)]
frag, T, L,Q = [0]*N, [0]*N, [0]*N, [0]
a,frag[0] = 100, 1
def func(ide):
    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

while Q:top = Q[0];func(top);del Q[0]
for i in range(n):
    if L[i] == 0:
        L[i] == -1

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

Python: n = int(raw_input())
 
G = [0 for i in range(n)] 
a = [[0 for i in range(n)] for j in range(n)]
dis = [1000 for i in range(n)]
dis[0] = 0

for i in range(n):
    G = map(int, raw_input().split())
    for j in range(G[1]):
        a[G[0]-1][G[2+j]-1] = 1
 
def bfs_visit(s):
    for k in range(n):
      if a[s][k] == 1:
       if dis[k] > dis[s] + 1:
         dis[k] = dis[s] + 1
         bfs_visit(k)

for s in range(n):
    bfs_visit(s)
for s in range(n):
    if dis[s] == 1000:
       dis[s] = -1
for s in range(n):
    print (s+1,dis[s])

Python: from collections import deque
N = int(input())
#グラフ入力受取
G = [[] for _ in range(N)]
for _ in range(N):
    a = list(map(int, input().split()))
    for i in a[2:]:
        G[a[0]-1].append(i-1)

#頂点1をスタートとした探索
dist = [-1]*N
que = deque()
dist[0] = 0
que.append(0)
while len(que)!=0:
    v = que.popleft()
    for nv in G[v]:
        if dist[nv] == -1:
            dist[nv] = dist[v]+1
            que.append(nv)
        
for i in range(N):
    print(str(i+1) + ' ' + str(dist[i]))

Python: from collections import deque


INFINITY = 10 ** 10
WHITE = 0
GRAY = 1
BLACK = 2


def breadth_first_search(u_start = 0):
    color[u_start] = GRAY
    d[u_start] = 0
    que.append(u_start)

    while que:
        u = que.popleft()
        for v in range(n):
            if matrix[u][v] and color[v] == WHITE:
                color[v] = GRAY
                d[v] = d[u] + 1
                que.append(v)
        color[u] = BLACK


# INPUT
n = int(input())


matrix = [[0] * n for _ in range(n)]

for i in range(n):

    u, k, *V = map(int, input().split())

    for v in V:
        v -= 1
        matrix[i][v] = 1


color = [WHITE] * n
d = [INFINITY] * n
que = deque([])

# PROCESS
breadth_first_search()


# OUTPUT
for i in range(n):
    if d[i] == INFINITY:
        distance = -1
    else:
        distance = d[i]

    print(i + 1, distance)