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: from collections import deque
u = int(input())
g = [[i for i in map(int, input().split())] for _ in range(u)]
graph = [[] for _ in range(u)]
ans = [-1] * u
for i in range(u):
    for j in range(g[i][1]):
        graph[i].append(g[i][2 + j] - 1)
que = deque()
que.append(0)
ans[0] = 0
while que:
    v = que.popleft()
    for nv in graph[v]:
        if ans[nv] != -1:
            continue
        ans[nv] = ans[v] + 1
        que.append(nv)

for i in range(u):
    print(i+1, ans[i])

Python: def MAIN():
    n = int(input())
    li = [[] for _ in range(n + 1)]
    ans = [[i, 0] for i in range(n + 1)]
    for _ in range(n):
        u, k, *v = map(int, input().split())
        li[u] = v
    dp = [1]
    while dp:
        u = dp.pop()
        for v in li[u]:
            if ans[v][1] == 0:
                ans[v][1] = ans[u][1] + 1
                dp.append(v)
    for d in ans[1:]:
        print(*d)
MAIN()

Python: n = int(input())
 
adj = [None]
for i in range(n):
    adji = list(map(int, input().split()[2:]))
    adj.append(adji)
isSearched = [None] + [False] * n
distance = [None] + [-1] * n
def BFS(u):
    d = 0
    isSearched[u] = True
    distance[u] = d
    edge = [u]
    while edge:
        q = list(edge)
        edge = []
        d += 1
        for ce in q:
            for ne in adj[ce]:
                if not isSearched[ne]:
                    isSearched[ne] = True
                    edge.append(ne)
                    distance[ne] = d
BFS(1)
for i, x in enumerate(distance[1:], start=1):
    print(i, x)

Python: #!/usr/bin/env python
from __future__ import division, print_function
from sys import stdin
from Queue import Queue
 
 
def main():
    num = int(stdin.readline())
 
    L = []
    for _ in xrange(num):
        L.append([int(s) for s in stdin.readline().split()[2:]])
 
    d = [-1] * num
    d[0] = 0
    q = Queue(100)
    q.put(0)
    while not q.empty():
        u = q.get()
        for v in L[u]:
            if d[v-1] < 0:
                d[v-1] = d[u] + 1
                q.put(v-1)
 
    for i, v in enumerate(d):
        print(i+1, v)
 
 
main()

Python: from collections import deque
n=int(input())
edge=[[] for _ in range(n+1)]
for i in range(n):
  v,k,*u=map(int,input().split())
  edge[v]=u
p=[-1]*(n+1)
p[1]=0
q=deque([])
q.append(1)
v=[1]*(n+1)
v[1]=0
while q:
  now=q.popleft()
  for i in edge[now]:
    if v[i]:
      q.append(i)
      p[i]=p[now]+1
      v[i]=0
for i in range(1,n+1):
  print(i,p[i])

Python: def srch(i, l, Lng, Dst):
    if Lng[i] > l:
        Lng[i] = l
        
    if Dst[i] is not None and len(Dst[i]) > 0:
        for c in Dst[i]:
            srch(c,l+1, Lng, Dst)

def main():
    num = int(input())
    Dst = [None for i in range(num + 1)]
    Lng = [999] * (num + 1)

    for n in range(1, num+1):
        a = list(map(int,input().split()))
        u = a[0]
        if a[1] > 0:
            Dst[u] = a[2:]

    srch(1, 0, Lng, Dst)

    for n in range(1, num+1):
        l = Lng[n]
        if l > num:
            l = -1
        print("{} {}".format(n,l))

if __name__ == '__main__':
    main()

Python: from collections import deque

N = int(input())

Graph = {}
Node = []
visited = [-1]*(N)

for i in range(N):
    tmp = input().split()
    if int(tmp[1]) != 0:
        Graph[i] = [int(x)-1 for x in tmp[2:]]
    else:
        Graph[i] = []

queue = deque([0])
visited[0] = 0
while queue:
    x = queue.popleft()
    for i in Graph[x]:
        if visited[i] == -1:
            visited[i] = visited[x] + 1
            queue.append(i)

for i,j in enumerate(visited, 1):
    print(i, j)

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

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

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

Python: from sys import stdin

X = [ 0 for i in range(100) ]
d = [ 0 for i in range(100) ]
G = [[ 0 for i in range(100) ] for i in range(100)]
queue = [ 0 for i in range(100) ]

t = 0
head = 0
tail = 0

def BFS(i) :
	global head
	for j in range(n) :
		if G[i][j] == 1 and d[j] == -1 :
			d[j] = d[i] + 1
			queue[head] = j
			head += 1

def tailQ() :
	global tail
	tail += 1
	return queue[tail-1]


n = int(input())
for i in range(n) :
	X[i] = stdin.readline().strip().split()


for i in range(n) :
	for j in range(int(X[i][1])) :
		G[int(X[i][0])-1][int(X[i][j+2])-1] = 1
	if i != 0 : d[i] = -1

BFS(0)
while head-tail != 0 : 
	BFS(tailQ())

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

Python: import queue
N=int(input())
M=[input().split()[2:]for _ in[0]*N]
q=queue.Queue();q.put(0)
d=[-1]*N;d[0]=0
while q.qsize()>0:
 u=q.get()
 for v in M[u]:
  v=int(v)-1
  if d[v]<0:d[v]=d[u]+1;q.put(v)
for i in range(N):print(i+1,d[i])