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: 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)