Go: package main

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

func getScanner(fp *os.File) *bufio.Scanner {
	scanner := bufio.NewScanner(fp)
	scanner.Split(bufio.ScanWords)
	scanner.Buffer(make([]byte, 1000005), 1000005)
	return scanner
}

func getNextString(scanner *bufio.Scanner) string {
	scanner.Scan()
	return scanner.Text()
}

func getNextInt(scanner *bufio.Scanner) int {
	i, _ := strconv.Atoi(getNextString(scanner))
	return i
}

func getNextInt64(scanner *bufio.Scanner) int64 {
	i, _ := strconv.ParseInt(getNextString(scanner), 10, 64)
	return i
}

func getNextUint64(scanner *bufio.Scanner) uint64 {
	i, _ := strconv.ParseUint(getNextString(scanner), 10, 64)
	return i
}

func getNextFloat64(scanner *bufio.Scanner) float64 {
	i, _ := strconv.ParseFloat(getNextString(scanner), 64)
	return i
}

func main() {
	fp := os.Stdin
	wfp := os.Stdout
	cnt := 0

	if os.Getenv("MASPY") == "ますピ" {
		fp, _ = os.Open(os.Getenv("BEET_THE_HARMONY_OF_PERFECT"))
		cnt = 1
	}
	if os.Getenv("MASPYPY") == "ますピッピ" {
		wfp, _ = os.Create(os.Getenv("NGTKANA_IS_GENIUS10"))
	}

	scanner := getScanner(fp)
	writer := bufio.NewWriter(wfp)
	solve(scanner, writer)
	for i := 0; i < cnt; i++ {
		fmt.Fprintln(writer, "-----------------------------------")
		solve(scanner, writer)
	}
	writer.Flush()
}

func solve(scanner *bufio.Scanner, writer *bufio.Writer) {
	n := getNextInt(scanner)
	g := graph{}
	g.ee = make([]Edges, n)
	g.visited = make([]bool, n)
	g.found = make([]int, n)
	g.leave = make([]int, n)
	for i := 0; i < n; i++ {
		u := getNextInt(scanner) - 1
		k := getNextInt(scanner)
		for j := 0; j < k; j++ {
			v := getNextInt(scanner) - 1
			g.ee[u] = append(g.ee[u], Edge{
				to: v,
				id: u,
			})
		}
	}
	for i := 0; i < n; i++ {
		sort.Sort(g.ee[i])
	}
	for i := 0; i < n; i++ {
		if g.visited[i] {
			continue
		}
		g.dfs(i)
	}

	for i := 0; i < n; i++ {
		fmt.Fprintln(writer, fmt.Sprintf("%d %d %d", i+1, g.found[i], g.leave[i]))
	}
}

// Edge ...
type Edge struct {
	to, id int
}

type Edges []Edge

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

type graph struct {
	ee           []Edges
	t            int
	n            int
	visited      []bool
	found, leave []int
}

func (g *graph) dfs(i int) {
	g.visited[i] = true
	g.t++
	g.found[i] = g.t
	for _, e := range g.ee[i] {
		if g.visited[e.to] {
			continue
		}
		g.dfs(e.to)
	}
	g.t++
	g.leave[i] = g.t
}

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

import sys

UNVISITED, VISITED_IN_STACK, POPPED_OUT = 0, 1, 2


def generate_adj_matrix(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)
    vertices_visit_stack.append(v_init)
    vertices_status_list[v_init] = VISITED_IN_STACK
    vertices_d_time[v_init] += time
    # init end

    while len(vertices_visit_stack) > 1:
        current_vertex = vertices_visit_stack[-1]
        next_vertex = get_adj_vertices(vertex=current_vertex)

        if next_vertex:
            if vertices_status_list[next_vertex] is UNVISITED:
                vertices_status_list[next_vertex] = VISITED_IN_STACK
                time += 1
                vertices_d_time[next_vertex] += time
                vertices_visit_stack.append(next_vertex)
        else:
            vertices_visit_stack.pop()
            vertices_status_list[current_vertex] = POPPED_OUT
            time += 1
            vertices_f_time[current_vertex] += time

    return None


def get_adj_vertices(vertex):
    index = int(vertex) - 1
    for j in range(vertices_num):
        if adj_matrix[index][j]:
            adj_matrix[index][j] = 0
            return j + 1
    return None


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


if __name__ == '__main__':
    _input = sys.stdin.readlines()
    vertices_num = int(_input[0])
    vertices_info = list(map(lambda x: x.split(), _input[1:]))
    init_adj_matrix = [[0] * vertices_num for _ in range(vertices_num)]
    # assert len(vertex_info) == vertex_num

    # config length = (vertex_num + 1)
    vertices_visit_stack = [-1]
    vertices_status_list = [UNVISITED] * vertices_num
    vertices_status_list.insert(0, -1)
    vertices_d_time, vertices_f_time = ([0] * (vertices_num + 1) for _ in range(2))

    adj_matrix = generate_adj_matrix(vertices_info)
    # timing start from 1
    time = 1
    dfs_start()
    for k in range(vertices_num):
        print(k + 1, vertices_d_time[k + 1], vertices_f_time[k + 1])

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

class dfs:
    def __init__(self, n, ne):
        self.n=n
        self.ne=ne
        self.d=[0]*(n+1)
        self.f=[0]*(n+1)
        self.t=0
    def search(self, a):
        self.t+=1
        self.d[a]=self.t
        for p in ne[a]:
            if self.d[p]==0:
                self.search(p)
        self.t+=1
        self.f[a]=self.t
DFS=dfs(n,ne)
for i in range(1,n+1):
    if DFS.d[i]==0:
        DFS.search(i)
    print(i,DFS.d[i],DFS.f[i])

Python: #coding: utf-8

n = int(input())
color = ["white" for i in range(n)]
d = [[] for i in range(n)]
global t
t = 0
M = [[False for i in range(n)] for j in range(n)]
for i in range(n):
    data = list(map(int,input().split()))
    u = data[0]
    k = data[1]
    if i == 0:
        start = u
    for v in data[2:2+k]:
        M[u-1][v-1] = True


def search(u,t):
    t += 1
    color[u-1] = "gray"
    d[u-1].append(t)
    for v in range(n):
        if M[u-1][v-1] and color[v-1] == "white":
            t = search(v,t)
    color[u-1] = "black"
    t += 1
    d[u-1].append(t)
    return t

search(start, t)
for i in range(n):
    print(i+1, d[i][0], d[i][1])

Python: def depth_search(u, t):
    t += 1
    s.append(u)
    d[u] = t
    for v in range(N):
        if adjacency_list[u][v] == 0:
            continue 
        if d[v] == 0 and v not in s:
            t = depth_search(v, t)
    t += 1
    s.pop()
    f[u] = t
    return t

N = int(input())
adjacency_list = [[0 for j in range(N)] for i in range(N)]
for _ in range(N):
    u, k, *v = input().split()
    for i in v:
        adjacency_list[int(u)-1][int(i)-1] = 1

s = []
d = [0 for _ in range(N)]
f = [0 for _ in range(N)]

t = 0
for u in range(N):
    if d[0] == 0:
        t = depth_search(u, t)

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

Python: import sys
sys.setrecursionlimit(10 ** 9)

N = int(input())
graph = list()
for i in range(N):
  x = list(map(int, input().split()))
  graph.append(x[2:])

start = [0] * N
end = [0] * N
visited = [False] * N
time = 0
def dfs(n):
  if visited[n]:
    return
  visited[n] = True
  global time
  time += 1
  start[n] = time
  for i in graph[n]:
    dfs(i-1)
  time += 1
  end[n] = time

for i in range(N):
  dfs(i)
for i in range(N):
  print(i+1, start[i], end[i])