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: import sys
sys.setrecursionlimit(10**6)
input = sys.stdin.readline

INF = 100100100

class Queue:
    __slots__ = ['Q', 'begin', 'end']
    def __init__(self):
        self.Q = [None] * 100
        self.begin = 0
        self.end = 0
    def full(self) -> bool:
        if self.begin == 0 and self.end == 99:
            return True
        elif self.begin == self.end + 1:
            return True
        else:
            return False
    def empty(self) -> bool:
        if self.begin == self.end:
            return True
        else:
            return False
    def insert(self, num: int):
        if self.full():
            print('Error: Queue is full.')
        else:
            if self.end == 99:
                self.end = 0
            else:
                self.end += 1
            self.Q[self.end-1] = num
    def pop(self) -> int:
        if self.empty():
            print('Error: Queue is empty.')
            return
        else:
            if self.begin == 99:
                self.begin = 0
                return self.Q[99]
            else:
                self.begin += 1
                return self.Q[self.begin-1]

def bfs(M: list, visited: list, d: list, v: int = 0):
    n = len(visited)
    Q = Queue()
    visited[v] = True
    d[v] = 0
    Q.insert(v)
    while not Q.empty():
        u = Q.pop()
        for i in range(n):
            if M[u][i] == 1 and not visited[i]:
                visited[i] = True
                d[i] = d[u] + 1
                Q.insert(i)


def main():
    n = int(input())
    M = [[0]*n for _ in range(n)]
    for _ in range(n):
        a = list(map(int, input().split()))
        i = a[0]-1
        for j in range(a[1]):
            k = a[j+2]-1
            M[i][k] = 1
    visited = [False] * n
    d = [INF] * n
    bfs(M, visited, d)
    for i, l in enumerate(d):
        if l == INF:
            print(i+1, -1)
        else:
            print(i+1, l)

if __name__ == '__main__': main()

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

Python: import sys


def bfs(matrix):
    distances = [-1 for _ in range(len(matrix))]
    queue = [0]
    distances[0] = 0

    while 0 < len(queue):
        node_id = queue.pop(0)  # Dequeue
        distance = distances[node_id]
        for index, candidate in enumerate(matrix[node_id]):
            if candidate == 1 and distances[index] == -1:
                # ???????????¢????¨?????????????????????? node
                queue.append(index)
                distances[index] = distance + 1

    return distances

if __name__ == "__main__":
    # ??????????????????
    lines = [
        "4",
        "1 2 2 4",
        "2 1 4",
        "3 0",
        "4 1 3",
    ]
    # lines = sys.stdin.readlines()
    dimension = int(lines[0])
    matrix = [[0 for _ in range(dimension)] for _ in range(dimension)]

    # Set edge info
    for index, line in enumerate(lines[1:]):
        for edge in [int(x) for x in line.strip().split(" ")[2:]]:
            matrix[index][edge - 1] = 1

    distances = bfs(matrix)
    for index, distance in enumerate(distances):
        print("%d %d" % (index + 1, distance))

Python: T = [0]

def curshort(N,k,m,P,n):
    for i in range(1,n+1):
        if P[i]==-1 and N[k][i]==1:
            P[i] = m+1 
            curshort(N,i,m+1,P,n)

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


for i in range(n):
    vec = input().split()
    u = int(vec[0])
    k = int(vec[1])
    nodes = vec[2:]
    for i in range(int(k)):
        v = int(nodes[i])
        A[u][v] = 1

P=[-1 for i in range(n+1)]

P[1] = 0
curshort(A,1,0,P,n)
for i in range(1,n+1):
    print(i,P[i])

Python: # https://onlinejudge.u-aizu.ac.jp/courses/lesson/1/ALDS1/11/ALDS1_11_C

from collections import deque

n = int(input())
graph = {}
res = [-1 for i in range(n + 1)]

for i in range(1, n + 1):
    data = input().split()
    graph[i] = [int(i) for i in data[2:]]

visited = set()
q = deque()
q.append((1, 0))  # node,distance
visited.add(1)

while q:
    node, dis = q.popleft()
    res[node] = dis
    for _next in graph[node]:
        if _next not in visited:
            visited.add(_next)
            q.append((_next, dis + 1))

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

Python: n = int(input())
G = [[] for i in range(n)] #G(i): 頂点iと隣接する頂点のlist
for i in range(n):
    a = [int(i) for i in input().split()]
    G[a[0]-1] = [i-1 for i in a[2:]]

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

while(todo != []):
    v = todo.pop(0)
    for i in G[v]:
        if d[i] == -1:
            d[i] = d[v]+1
            todo.append(i)

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