Go: package main

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

// I/O
type Scanner struct {
	sc *bufio.Scanner
}

func NewScanner() *Scanner {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)
	sc.Buffer(make([]byte, 1024), int(1e+9))
	return &Scanner{sc}
}

func (s *Scanner) nextStr() string {
	s.sc.Scan()
	return s.sc.Text()
}

func (s *Scanner) nextInt() int {
	i, e := strconv.Atoi(s.nextStr())
	if e != nil {
		panic(e)
	}
	return i
}

func (s *Scanner) nextFloat() float64 {
	f, e := strconv.ParseFloat(s.nextStr(), 64)
	if e != nil {
		panic(e)
	}
	return f
}

func (s *Scanner) nextRuneSlice() []rune {
	return []rune(s.nextStr())
}

func (s *Scanner) nextIntSlice(n int) []int {
	res := make([]int, n)
	for i := 0; i < n; i++ {
		res[i] = s.nextInt()
	}
	return res
}

func (s *Scanner) nextFloatSlice(n int) []float64 {
	res := make([]float64, n)
	for i := 0; i < n; i++ {
		res[i] = s.nextFloat()
	}
	return res
}

// Arithmetic
func max(nums ...int) int {
	m := nums[0]
	for _, i := range nums {
		if m < i {
			m = i
		}
	}
	return m
}

func min(nums ...int) int {
	m := nums[0]
	for _, i := range nums {
		if m > i {
			m = i
		}
	}
	return m
}

func abs(x int) int {
	if x > 0 {
		return x
	}
	return -x
}

func pow(x, y int) int {
	res := 1
	for i := 0; i < y; i++ {
		res *= x
	}
	return res
}

func ceil(a, b int) int {
	if a%b == 0 {
		return a / b
	} else {
		return a/b + 1
	}
}

// Sort
type RuneSlice []rune

func (a RuneSlice) Len() int           { return len(a) }
func (a RuneSlice) Less(i, j int) bool { return a[i] < a[j] }
func (a RuneSlice) Swap(i, j int)      { a[i], a[j] = a[j], a[i] }

// Main
func main() {
	sc := NewScanner()
	wtr := bufio.NewWriter(os.Stdout)
	N := sc.nextInt()
	G := make([][]int, N)
	for i := 0; i < N; i++ {
		u, k := sc.nextInt()-1, sc.nextInt()
		for j := 0; j < k; j++ {
			G[u] = append(G[u], sc.nextInt()-1)
		}
	}
	ans := make([][2]int, N)
	time := 0
	found := make(map[int]bool)
	var dfs func(cur int)
	dfs = func(cur int) {
		time++
		ans[cur][0] = time
		found[cur] = true
		for i := 0; i < len(G[cur]); i++ {
			next := G[cur][i]
			if !found[next] {
				dfs(G[cur][i])
			}
		}
		time++
		ans[cur][1] = time
	}
	for i := 0; i < N; i++ {
		if !found[i] {
			dfs(i)
		}
	}

	for i := 0; i < N; i++ {
		fmt.Fprint(wtr, i+1)
		for j := 0; j < 2; j++ {
			fmt.Fprint(wtr, " ")
			fmt.Fprint(wtr, ans[i][j])
		}
		fmt.Fprintln(wtr)
	}
	wtr.Flush()
}

Python: #!/usr/bin/env python
# -*- coding: utf-8 -*-

import sys

UNVISITED, VISITED_IN_STACK, POPPED_OUT = 0, 1, 2


def generate_adj(v_info):
    for v_detail in v_info:
        v_adj_list = v_detail[2:]
        assert len(v_adj_list) == int(v_detail[1])
        for each in v_adj_list:
            init_adj_matrix[int(v_detail[0]) - 1][int(each) - 1] = 1
    return init_adj_matrix


def graph_dfs(v_init):
    global time
    # init the first node of overall graph iterations(times >= 1)
    vertex_visit_stack.append(v_init)
    vertex_status_list[v_init] = VISITED_IN_STACK
    vertex_d_time[v_init] += time
    # init end
    while len(vertex_visit_stack) > 1:
        current_vertex = vertex_visit_stack[-1]
        next_vertex = get_next_vertex(node=current_vertex)
        # print(current_vertex, next_vertex, vertex_status_list, vertex_visit_stack)
        time += 1
        if next_vertex and vertex_status_list[next_vertex] is UNVISITED:
            # print('on', current_vertex, next_vertex)
            vertex_status_list[next_vertex] = VISITED_IN_STACK
            vertex_d_time[next_vertex] += time
            vertex_visit_stack.append(next_vertex)
        else:
            # other_vertex = get_next_vertex(current_vertex)
            # print('stuck', current_vertex, other_vertex)
            vertex_visit_stack.pop()
            vertex_status_list[current_vertex] = POPPED_OUT
            vertex_f_time[current_vertex] += time

    return None


def get_next_vertex(node):
    for j in range(vertex_num):
        if adj_matrix[int(node) - 1][j]:
            adj_matrix[int(node) - 1][j] = 0
            return j + 1


def dfs_start():
    global time
    for i in range(vertex_num):
        if vertex_status_list[i + 1] == UNVISITED:
            # print('round', i + 1)
            graph_dfs(v_init=i + 1)
            time += 1


if __name__ == '__main__':
    _input = sys.stdin.readlines()
    vertex_num = int(_input[0])
    vertex_info = list(map(lambda x: x.split(), _input[1:]))
    init_adj_matrix = [[0] * vertex_num for _ in range(vertex_num)]
    # assert len(vertex_info) == vertex_num
    # config length -> (vertex_num + 1)
    vertex_visit_stack = [-1]
    vertex_status_list = [UNVISITED] * vertex_num
    vertex_status_list.insert(0, -1)
    vertex_d_time, vertex_f_time = ([0] * (vertex_num + 1) for _ in range(2))

    adj_matrix = generate_adj(vertex_info)

    time = 1
    dfs_start()

    for k in range(vertex_num):
        print(k + 1, vertex_d_time[k + 1], vertex_f_time[k + 1])

Python: from sys import stdin
input = stdin.readline

N = 100
WHITE = 0 # 未訪問
GRAY = 1 # 訪問したが、スタックに残っている
BLACK = 2 # 訪問完了済み

M = [[0]*N for _ in range(N)] # n*nの隣接行列の作成
color = [WHITE]*N  # colorの初期化
d = [0]*N # 最初の訪問時刻のタイムスタンプ
f = [0]*N # 完了時刻のタイムスタンプ

def dfs_visit(u): # uの訪問処理
    global tt
    color[u] = GRAY
    tt += 1
    d[u] = tt # 最初の訪問
    for v in range(n):
        if M[u][v] == 0:
            continue
        if color[v] == WHITE: # 深さがあれば再帰的に処理をする
            dfs_visit(v)
    color[u] = BLACK # uに関する全ての深さを探索しきった処理
    tt += 1
    f[u] = tt # 訪問の完了

def dfs():
    global tt
    tt = 0

    for u in range(n):
        if color[u] == WHITE: # 未訪問のuを始点にする
            dfs_visit(u)
    for u in range(n): # 最終的な表示処理
        print(str(u+1) + ' ' + str(d[u]) + ' ' + str(f[u]))

n = int(input())
for _ in range(n): # 隣接行列の作成
    u, k, *vv = input().split()
    u = int(u)-1  # 0オリジンにする
    k = int(k)    # kは使わない
    for v in vv:
        v = int(v)-1
        M[u][v] = 1
dfs()

Python: def dfs(v, k):
    if ans[v][1] == 0:
        ans[v][1] = k
    else:
        return k - 1
    for i in d[v]:
        k = dfs(i, k + 1)
    k += 1
    if ans[v][2] == 0:
        ans[v][2] = k
    return k


G = int(input())
vlst = [list(map(int, input().split())) for _ in range(G)]
d = [[] for _ in range(G)]
for i in range(G):
    for j in range(vlst[i][1]):
        d[i].append(vlst[i][2 + j] - 1)
ans = [[_, 0, 0] for _ in range(G)]
k = 1
for i in range(G):
    k = dfs(i, k) + 1
for i in ans:
    print(i[0] + 1, i[1], i[2])

Python: from collections import defaultdict


n = int(input())
rel = defaultdict(set)

times = {}
for _ in range(n):
    rl = list(map(int, input().split()))
    p, ts = rl[0], rl[2:]
    rel[p] = sorted(ts, reverse=True)
    times[p] = {'first': 0, 'last': 0}

t = 0

for f in range(1, len(rel)+1):
    if times[f]['last']:
        continue
    stack = [f]
    while stack:
        u = stack[-1]
        if times[u]['first']:
            if not times[u]['last']:
                t += 1
                times[u]['last'] = t
            stack.pop()
            continue
        t += 1
        times[u]['first'] = t
        for v in rel[u]:
            if not times[v]['first']:
                stack.append(v)

for k in sorted(times):
    print(k, times[k]['first'], times[k]['last'])

Python: import sys
sys.setrecursionlimit(10000000)
MOD = 10 ** 9 + 7
INF = 10 ** 15

G = [[] for _ in range(105)]
begin = [-1] * 105
end = [-1] * 105

t = 1
def dfs(v):
    global t
    begin[v] = t
    t += 1
    for e in G[v]:
        if begin[e] < 0:
            dfs(e)
    end[v] = t
    t += 1

def main():
    N = int(input())
    for i in range(N):
        A = list(map(int,input().split()))
        for a in A[2:]:
            G[i].append(a - 1)
    
    for i in range(N):
        if begin[i] < 0:
            dfs(i)
    for i in range(N):
        print(i + 1,begin[i],end[i])
if __name__ == '__main__':
    main()