Go: package main

import (
	"container/list"
	"fmt"
	"bufio"
	"os"
	"strconv"
)

const (
	N   = 100
	INF = 1 << 21
)

var (
	n        int
	adj      [N][N]int
	distance [N]int
)

func BFS(start int) {
	q := list.New()
	q.PushBack(start)
	for i := 0; i < n; i++ {
		distance[i] = INF
	}
	distance[start] = 0
	u := 0
	for q.Len() != 0 {
		u = q.Remove(q.Front()).(int)
		for v := 0; v < n; v++ {
			if adj[u][v] == 0 {
				continue
			}
			if distance[v] != INF {
				continue
			}
			distance[v] = distance[u] + 1
			q.PushBack(v)
		}
	}
	for i := 0; i < n; i++ {
		var d int
		if distance[i] == INF {
			d = -1
		} else {
			d = distance[i]
		}
		fmt.Printf("%d %d\n", i+1, d)
	}
}

func main() {
	var u, k, v int
	scanner := bufio.NewScanner(os.Stdin)
	scanner.Split(bufio.ScanWords)
	scanner.Scan()
	n, _ = strconv.Atoi(scanner.Text())
	for i := 0; i < n; i++ {
		for j := 0; j < n; j++ {
			adj[i][j] = 0
		}
	}
	for i := 0; i < n; i++ {
		scanner.Scan()
		u, _ = strconv.Atoi(scanner.Text())
		u -= 1
		scanner.Scan()
		k, _ = strconv.Atoi(scanner.Text())
		for j := 0; j < k; j++ {
			scanner.Scan()
			v, _ = strconv.Atoi(scanner.Text())
			v -= 1
			adj[u][v] = 1
		}
	}
	BFS(0)
}

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])

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:
                    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: n = int(input())
adj = [list(map(int, input().split()))[2:] for _ in range(n)]

d = [-1] * n

s = 1
q = []
d[s - 1] = 0
q.append(s)
while len(q):
    u = q.pop()
    v = adj[u - 1]
    for vi in v:
        if d[vi - 1] == -1:
            d[vi - 1] = d[u - 1] + 1
        elif d[vi - 1] > d[u - 1] + 1:
            d[vi - 1] = d[u - 1] + 1            
            q.append(vi)

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

Python: from collections import deque

n = int(input())
g = [None] * n
visited = [0] * n
dist = [-1] * n
queue = deque()

while n:
    l = list(map(int, input().split()))
    connected = [i - 1 for i in l[2:]]
    g[l[0] - 1] = [i - 1 for i in l[2:]]
    n -= 1

queue.append((0, 0))
visited[0] = 1

while queue:
    print(queue)
    i, d = queue.popleft()
    dist[i] = d
    for c in g[i]:
        if not visited[c]:
            visited[c] = 1
            queue.append((c, d + 1))

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

Python: n = int(input())

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

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

f_inf = float("inf")
B = [[f_inf for i in range(2)] for j in range(n)]
B[0][1] = 0

for i in range(n):
  B[i][0] = i+1

def dbs(a):
  global order
  l = len(A[a-1])-2
  if l:
    for i in range(l):
      depth = B[a-1][1]+1
      b = A[a-1][i+2]
      if not b in order or depth < B[b-1][1]:
        B[b-1][1] = depth
        order.append(b)
        dbs(b)

order = [1]
dbs(1)

for i in range(n):
  if B[i][1] == f_inf:
    B[i][1] = -1
  print(" ".join(map(str, B[i])))

Python: # 28
# ALDS_11_C - 幅優先探索

from collections import deque

n = int(input())
u_l = []
k_l = []
v_l = []

for i in range(n):
    _v_l = []
    for j, _ in enumerate(input().split()):
        if j == 0:
            u_l.append(int(_))
        elif j == 1:
            k_l.append(int(_))
        else:
            _v_l.append(int(_))
    v_l.append(_v_l)
        
d_l = [-1]*n
d_l[0] = 0
s_dq = deque([1])
while len(s_dq) > 0:
    _s = s_dq.popleft()
    _s -= 1
    for i in range(k_l[_s]):
        _v = v_l[_s][i]
        if d_l[_v-1] == -1:
            s_dq.append(_v)
            d_l[_v-1] = d_l[_s] + 1

for _id, _d in zip(range(1,n+1), d_l):
    print(_id, _d)