Go: package main

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

const MAX = 1000
const NIL = -1

type Node struct {
	id    int
	depth int
}

type Queue struct {
	head      int
	tail      int
	container [MAX]Node
}

func (q *Queue) inQueue(x Node) {
	q.container[q.tail] = x
	q.tail = (q.tail + 1) % MAX
}

func (q *Queue) deQueue() Node {
	x := q.container[q.head]
	q.head = (q.head + 1) % MAX
	return x
}

func (q *Queue) isEmpty() bool {
	return q.head == q.tail
}

var sc = bufio.NewScanner(os.Stdin)

func scanInt() int {
	num, _ := strconv.Atoi(scanString())
	return num
}

func scanString() string {
	sc.Scan()
	return sc.Text()
}

func init() {
	sc.Split(bufio.ScanWords)
}

func main() {
	n := scanInt()
	route := make([][]int, n)
	for i := range route {
		u, k := scanInt(), scanInt()
		u--
		route[u] = make([]int, k)
		for j := range route[u] {
			num := scanInt()
			num--
			route[i][j] = num
		}
	}

	d := make([]int, n)
	for i := range d {
		d[i] = NIL
	}

	start := Node{0, 0}
	que := Queue{}
	que.inQueue(start)
	for !que.isEmpty() {
		node := que.deQueue()
		if d[node.id] != NIL {
			continue
		}
		d[node.id] = node.depth

		for _, nextId := range route[node.id] {
			next := Node{id: nextId, depth: node.depth + 1}
			que.inQueue(next)
		}
	}

	for i, depth := range d {
		fmt.Println(i+1, depth)
	}
}

Python: import numpy as np
N= int(input())
frag, T, L, Q = np.zeros(N),np.zeros(N),np.zeros(N),[0]
# frag, T, L,Q = [0]*N, [0]*N, [0]*N, [0]
a = 100
frag[0] = 1
def func(ide):
#     print("frag = {}".format(frag))
    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
            


E = [input().split()[2:] for _ in range(N)]

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())
G = [None for i in range(N)]
for i in range(N):
    u, k, *vs = map(int, input().split())
    G[u-1] = [e-1 for e in vs]


from collections import deque
dist = [-1]*N
que = deque([0])
dist[0] = 0
while que:
    v = que.popleft()
    d = dist[v]
    for w in G[v]:
        if dist[w] > -1:
            continue
        dist[w] = d + 1
        que.append(w)

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

Python: import abc


class AdjacentGraph:
    """Implementation adjacency-list Graph.
    Beware ids are between 1 and size.
    """
    def __init__(self, size):
        self.size = size
        self._nodes = [[0] * (size+1) for _ in range(size+1)]

    def set_adj_node(self, id_, adj_id):
        self._nodes[id_][adj_id] = 1

    def __iter__(self):
        self._id = 0
        return self

    def __next__(self):
        if self._id < self.size:
            self._id += 1
            return (self._id, self._nodes[self._id][1:])

        raise StopIteration()

    def dfs(self, handler=None):
        def find_first():
            try:
                return visited.index(0) + 1
            except ValueError:
                return None

        visited = [0] * self.size
        first = 1
        while first is not None:
            stack = [(first, 0, 0)]
            while len(stack) > 0:
                i, depth, j = stack.pop()
                if j == 0:
                    if handler:
                        handler.visit(i, depth)
                    visited[i-1] = 1
                    yield i
                try:
                    j = self._nodes[i].index(1, j+1)
                    stack.append((i, depth, j))
                    if visited[j-1] == 0:
                        stack.append((j, depth+1, 0))
                except ValueError:
                    if handler:
                        handler.leave(i)
            first = find_first()

    def bfs(self, handler=None):
        def find_first():
            try:
                return visited.index(0) + 1
            except ValueError:
                return None

        visited = [0] * self.size
        first = 1
        while first is not None:
            queue = [(first, 0)]
            while len(queue) > 0:
                (i, depth), *queue = queue
                if visited[i-1] == 0:
                    if handler:
                        handler.visit(i, depth)
                    visited[i-1] = 1
                    yield i
                    try:
                        j = 0
                        while j < self.size:
                            j = self._nodes[i].index(1, j+1)
                            if visited[j-1] == 0:
                                queue.append((j, depth+1))
                    except ValueError:
                        pass
                if handler:
                    handler.leave(i)
            first = find_first()


class EventHandler(abc.ABC):
    @abc.abstractmethod
    def visit(self, i, depth):
        pass

    @abc.abstractmethod
    def leave(self, i):
        pass


class Logger(EventHandler):
    def __init__(self, n):
        self.log = [(0, 0)] * n
        self.step = 0

    def visit(self, i, depth):
        self.step += 1
        self.log[i-1] = (self.step, depth, 0)

    def leave(self, i):
        self.step += 1
        self.log[i-1] = (self.log[i-1][0], self.log[i-1][1], self.step)

    def by_node(self):
        i = 1
        for discover, depth, finish in self.log:
            yield (i, discover, depth, finish)
            i += 1

def run():
    n = int(input())
    g = AdjacentGraph(n)
    log = Logger(n)

    for i in range(n):
        id_, c, *links = [int(x) for x in input().split()]
        for n in links:
            g.set_adj_node(id_, n)

    for i in g.bfs(log):
        pass

    reachable = None
    for node in log.by_node():
        id_, find, dep, exit = node
        if id_ > 1 and dep == 0:
            reachable = find - 1

        if reachable is not None and find > reachable:
            dep = -1

        print("{} {}".format(id_, dep))


if __name__ == '__main__':
    run()

Python: #=============================================================================
# Breadth First Search
#=============================================================================
import queue

N=int(input())
Graph=[[] for _ in range(N+1)]
dist=[-1 for _ in range(N+1)]
for i in range(1,N+1):
    Graph[i]=list(map(int,input().split()))[2:]


que=queue.Queue()
que.put(1)
dist[1]=0
while not que.empty():
    v=que.get()
    for nv in Graph[v]:
        if dist[nv] != -1:
            continue
        dist[nv]=dist[v]+1
        que.put(nv)
for i in range(1,N+1):
    print(i,dist[i],sep=" ")

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] == 0 :
			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

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

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

Python: from collections import deque

n = int(input())
G = []
G.append([])
for i in range(n):
    v = list(map(int, input().split()))
    G.append(v[2:])

checked = [False for i in range(n + 1)]
d = [-1 for i in range(n + 1)]

q = deque()
q.append(1)
checked[1] = True
d[1] = 0

while q:
    current = q.pop()
    for adj in G[current]:
        if not checked[adj]:
            q.append(adj)
            checked[adj] = True
            d[adj] = d[current] + 1

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