Go: package main

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

type AdjacentList struct {
	matrix [][]int
}

func NewEmptyAdjacentList(dim int) *AdjacentList {
	matrix := make([][]int, dim)
	for i := 0; i < dim; i++ {
		matrix[i] = make([]int, dim)
	}
	return &AdjacentList{matrix: matrix}
}

func (al *AdjacentList) set(node int, adjacent int) {
	al.matrix[node-1][adjacent-1] = 1
}

func (al *AdjacentList) findAdjacentsFor(node int) []int {
	adjacents := []int{}
	for i, v := range al.matrix[node-1] {
		if v == 1 {
			adjacents = append(adjacents, i+1)
		}
	}
	return adjacents
}

type DistanceList struct {
	list []int
}

func NewDistanceList(dim int) *DistanceList {
	list := make([]int, dim)
	for i := 0; i < dim; i++ {
		list[i] = -1
	}
	return &DistanceList{list: list}
}

func (dl *DistanceList) set(node int, distance int) {
	dl.list[node-1] = distance
}

func (dl *DistanceList) get(node int) int {
	return dl.list[node-1]
}

func (dl *DistanceList) isVisited(node int) bool {
	return dl.list[node-1] >= 0
}

type Position struct {
	node     int
	distance int
}

func main() {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)

	dim, err := nextInt(sc)
	if err != nil {
		panic(err)
	}

	al := NewEmptyAdjacentList(dim)

	for i := 1; i <= dim; i++ {
		node, err := nextInt(sc)
		if err != nil {
			panic(err)
		}

		adjacentNum, err := nextInt(sc)
		if err != nil {
			panic(err)
		}
		for j := 0; j < adjacentNum; j++ {
			adjacent, err := nextInt(sc)
			if err != nil {
				panic(err)
			}
			al.set(node, adjacent)
		}
	}

	dl := NewDistanceList(dim)

	bfs(al, dl)

	for i := 1; i <= dim; i++ {
		fmt.Printf("%d %d\n", i, dl.get(i))
	}
}

func bfs(al *AdjacentList, dl *DistanceList) {
	stack := []Position{Position{node: 1, distance: 0}}
	for len(stack) > 0 {
		currentPosition := stack[0]
		stack = stack[1:]
		if !dl.isVisited(currentPosition.node) {
			dl.set(currentPosition.node, currentPosition.distance)
		}
		for _, v := range al.findAdjacentsFor(currentPosition.node) {
			stack = append(stack, Position{node: v, distance: currentPosition.distance + 1})
		}
	}
}

func nextInt(sc *bufio.Scanner) (int, error) {
	sc.Scan()
	return strconv.Atoi(sc.Text())
}

Python: from collections import deque
N = int(input())
graph = [list(map(int, input().split())) for _ in range(N)]
seen = [-1]*(N+1)

todo = deque()


def bfs(v):
    u = v-1
    next_v = graph[u][2:]
    for i in next_v:
        if seen[i] == -1:
            seen[i] = seen[v] + 1
            todo.append(i)


todo.append(1)
seen[1] = 0

while len(todo) > 0:
    bfs(todo.popleft())

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

Python: from queue import *

class Vertex:
	def __init__(self, u, k):
		self.u = u
		self.vertices = [0] * k
		self.d = -1
	def __str__(self):
		return str(self.u) + ' ' + str(self.d)

class Inf:
	def __init__(self,u,d):
		self.u = u
		self.d = d

def BFS(n, vertices):
	q = Queue()
	q.put(Inf(1,0))
	while q.empty() == False:
		inf = q.get()
		vertex = vertices[inf.u-1]
		if vertex.d == -1:
			vertex.d = inf.d
		else:
			vertex.d = min(vertex.d, inf.d)
		dist = inf.d + 1
		for i in range(len(vertex.vertices)):
			u = vertex.vertices[i]
			if vertices[u-1].d == -1:
				q.put(Inf(u, dist))
	
n = int(input())
vertices = []
for i in range(n):
	v = list(map(int, input().split()))
	u = v[0]
	k = v[1]
	vertex = Vertex(u, k)
	for j in range(k):
		vertex.vertices[j] = v[j+2]
	vertices.append(vertex)

BFS(n, vertices)
for i in range(n):
	print(str(vertices[i]))

Python: #coding:utf-8
        
def BFS(i,A,t):
    if i==1:
        return t
    else:
        for j in range(len(A)):
            if i in A[j]:
                return(BFS(j+1,A,t+1))
        return -1
            

if __name__=="__main__":
    n=int(input())
    A=[]
    for i in range(n):
        A.append(list(map(int,input().split(" ")))[2:])
    d=[0]*n
    t=0
    for i in range(n):
        d[i]=BFS(i+1,A,t)
    for i in range(n):
        print(i+1,d[i])

Python: from enum import Enum


class Bfs(object):
    """ Breadth First Search """
    class Status(Enum):
        """ ?????????????¨??????¶??? """
        white = 1  # ????¨????
        gray = 2  # ?¨???????
        black = 3  #?¨???????

    def __init__(self, data):
        num_of_nodes = len(data)+1
        self.color = [Bfs.Status.white] * (num_of_nodes + 1)  # ????????????????¨??????¶???
        self.S = []  # ?¨???????????????????????????¨???????????????
        self.M = self._make_matrix(data)  # data????????????????????£??\??????
        self.D = [-1] * (len(data) + 1)  # ????????????????????¢ (-1????????????????????°????????????)

    def _make_matrix(self, data):
        """ data(??£??\?????????)???????????£??\??????????????? (M[i][j]?????¢??§??????????????????+1??????????????????????????????) """
        num = len(data)
        graph_table = [[0] * (num+1) for _ in range(num+1)]
        for d in data:
            node_id = d[0]
            num_of_e = d[1]
            for e in d[2:]:
                graph_table[node_id][e] = 1
        return graph_table

    def search(self, start):
        """ start????????????????????????????????°??????????????? """
        self.S.append(start)
        self.color[start] = Bfs.Status.gray
        self.D[start] = 0  # ???????????§????????¢???0

        while self.S:
            u = self.S[-1]  # ?????¨?¨????????????????????????°??????
            self.S = self.S[:-1]  # pop()
            v = self._next(u)  # ?????¨???????????????????¬?????¨?????????????????????????
            while v != None:
                self.color[v] = Bfs.Status.gray
                self.S.append((v))  # ?¨??????????????????????????¬??????????????????? ???????????????????????????self.S[-1]?????????????????????
                self.D[v] = self.D[u] + 1
                v = self._next(u)


    def _next(self, node):
        """ ?¬?????¨???????????±???????????????????????????????????????????????¨??????????????????????????????? """
        edges = self.M[node]
        for i in range(1, len(edges)):
            if edges[i] == 1:
                if self.color[i] == Bfs.Status.white:
                    return i
        return None


if __name__ == '__main__':
    # ??????????????\???
    num = int(input())
    data = []
    for _ in range(num):
        data.append(list(map(int, input().split(' '))))

    # ???????????????
    # data[]????????????????????????1?????????????????£??\?????????????????????????´?????????????????????¨????????????????????????(??´???????????£??????????????????????????????)
    d = Bfs(data)
    d.search(1)

    # ???????????????
    for i in range(1, num+1):
        print('{0} {1}'.format(i, d.D[i]))

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)
  for i in range(n):
    if visited[i] == 1:
      continue
    visited[i] = 1
    bfs(i)
  for i, d in enumerate(dis):
    print(i, d)