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())
A = [0]*(n+1)
D = [-1]*(n+1)
DP = [0]*(n+1)
d = deque()
for i in range(n):
    A[i+1] = [int(i) for i in input().split()]
d.append(1)
D[1] = 0
DP[1] = 0
while(len(d)>0):
    tmp = d.pop()
    for i in A[tmp][2:]:
        if not DP[i]:
            D[i] = D[tmp]+1
            DP[i] = 1
            d.appendleft(i)
for i in range(1,n+1):
    tmp = "{} {}".format(i,D[i])
    print(tmp)

Python: N= int(input())
E = [input().split()[2:] for _ in range(N)]
Q = [0]
L = [0] + [-1]*N
def func(ide):
    global Q
    for i in E[ide]:
        i = int(i) - 1
        if L[i] < 0 :L[i] = L[ide] +1 ;Q.append(i)
    

while Q:top = Q.pop(0);func(top)

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

Python: import queue

n = int(input())

adj = [ [] for _ in range (n) ]

for i in range(n):
    _, _, *adj[i] = list(map(int, input().split()))

q = queue.Queue()

d = [-1] * n
flag = [0] * n

q.put(1)
d[0] = 0
flag[0] = 1

while not q.empty():
    u = q.get()

    for v in adj[u-1]:
        if flag[v-1] == 0:
            flag[v-1] = 1
            d[v-1] = d[u-1] + 1
            q.put(v)

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

Python: from collections import deque
n = int(input())
Ps = []
for _ in range(n):
  lis = list(map(int, input().split()))
  if len(lis)>2:
    Ps.append(lis[2:])
  else:
    Ps.append([])
ans = [-1]*n
ans[0] = 0
queue = deque()
checked = deque()
[queue.append([p, 1]) for p in Ps[0]]
checked.append(1)
while queue:
  t, pa = queue.popleft()
  if not t in checked:
    for i in Ps[t-1]:
      queue.append([i, t])
    ans[t-1] = ans[pa-1]+1
    checked.append(t)
for i, a in enumerate(ans):
  print(i+1, a)

Python: from collections import deque
graph = []
n = int(input())
dist = [[int(c),-1] for c in range(1,n+1)]
process_q = deque()
for i in range(n):
    graph.append([c-1 for c in list(map(int,input().split()))][2:])

def bfs():
    while len(process_q) > 0:
        parent = process_q.popleft()
        for child in graph[parent]:
            if dist[child][1] != -1:
                continue
            process_q.append(child)
            dist[child][1] = dist[parent][1] + 1

process_q.append(0)
dist[0][1] = 0
bfs()

for element in dist:
    print(*element)

Python: def breadth_first_search(G):
  n = len(G)
  d = [-1] * (n + 1)
  d[1] = 0
  queue = [1]

  while len(queue) > 0:
    v = queue.pop(0)
    for c in G[v]:
      if d[c] < 0:
        d[c] = d[v] + 1
        queue.append(c)

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

G = {}
for i in range(int(input())):
  x = list(map(int, input().split()))
  G[x[0]] = x[2:]

breadth_first_search(G)

Python: n = int(input())
g = [[0]*(n+1) for _ in range(n+1)]
for i in range(n):
    u, k, *v, = map(int, input().split())
    for vi in v:
        g[u][vi] = 1

d = [-1]*(n+1)
d[1] = 0

l = [1]
while len(l) > 0:
    u = l.pop(0)
    for i, v in enumerate(g[u]):
        if v == 1 and d[i] < 0:
            d[i] = d[u]+1
            l.append(i)

for i in range(1, n+1):
    print(f"{i} {d[i]}")

Python: import sys
import itertools
# import numpy as np
import time
import math
import heapq
 
sys.setrecursionlimit(10 ** 7)
 
from collections import defaultdict
 
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines

# map(int, input().split())
# list(map(int, input().split()))

n = int(input())

adj = [[] for i in range(n)]

for i in range(n):
    line = list(map(int, input().split()))
    u = line[0]
    for j in range(line[1]):
        v = line[2 + j]
        adj[u - 1].append(v - 1)


# BFS
import queue
q = queue.Queue()
visited = [False] * n
dist = [-1] * n

visited[0] = True
dist[0] = 0
q.put(0)
while not q.empty():
    v = q.get()
    for u in adj[v]:
        if visited[u]:
            continue
        visited[u] = True
        dist[u] = dist[v] + 1
        q.put(u)

for i in range(n):
    val = dist[i]
    print(i + 1, val)

Python: # ALDS_11_C - 幅優先探索
import sys
import heapq

N = int(input())
G = []
for _ in range(N):
    u, k, *v = map(int, sys.stdin.readline().strip().split())
    v = [i - 1 for i in v]
    G.append(v)


distance = [-1] * N
q = []
fp = [True] * N  # 探索可能か記録する
heapq.heapify(q)
heapq.heappush(q, (0, 0))
fp[0] = False


while q:
    dist, u = heapq.heappop(q)
    distance[u] = dist
    for v in G[u]:
        if fp[v] is True:
            heapq.heappush(q, (dist + 1, v))
            fp[v] = False

for i, d in enumerate(distance):
    print(i + 1, d)

Python: from queue import Queue

n = int(input())
A = [[0 for i in range(n)] for j in range(n)]
d = [-1 for i in range(n)]

for i in range(n):
    u, k, *v = list(map(int, input().split()))
    for j in v:
        A[int(u)-1][int(j)-1] = 1

q = Queue()
q.put(0)
d[0] = 0

while not q.empty():
    u = q.get()
    # print('visited:', u)
    for v in range(n):
        # print(u, v)
        if A[u][v] == 1 and d[v] == -1:
            q.put(v)
            d[v] = d[u] + 1

# print('-========')
for i in range(n):
    print(i+1, d[i])

Python: from typing import List
from collections import deque

def bfs(G: List[int], s: int) -> None:
	d[s] = 0
	color[s] = "GRAY"
	Q = deque()
	Q.append(s)
	while Q:
		u = Q.popleft()
		for v in G[u]:
			if color[v] == "WHITE":
				color[v] = "GRAY"
				d[v] = d[u] + 1
				pi[v] = u
				Q.append(v)
		color[u] = "BLACK"


if __name__ == "__main__":
	n = int(input())
	G = [[] for _ in range(n)]
	for _ in range(n):
		u, k, *adj = list(map(int, input().split()))
		u -= 1
		G[u] = [v - 1 for v in adj]
	color = ["WHITE" for _ in range(n)]
	d = [-1 for _ in range(n)]
	pi = [None for _ in range(n)]
	bfs(G, 0)
	for i in range(n):
		print(f"{i + 1} {d[i]}")