Go: package main

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

/***************************************************************
stackによる深さ優先探索を実装する。
***************************************************************/

const (
	N     = 100
	WHITE = 0
	GRAY  = 1
	BLACK = 2
)

var (
	n            int
	Adj          [N][N]int
	statusColor  [N]int
	discoverTime [N]int
	finishTime   [N]int
	clock        int
	nt           [N]int
)

/***************************************************************
Stackの定義:
- field
	container: ノードの格納されたスライス
	sp: スタックポインタ
- method
	size(): スタックに積まれているノードの個数を返す
	top(): スタックの一番上に積まれているノードを返す
	isEmpty(): スタックが空かどうかを返す
	pop(): スタックの要素をポップし削除する
	push(): スタックに要素を積む
***************************************************************/

type Stack struct {
	container []int
	sp        int
}

func (s *Stack) size() int {
	return len(s.container)
}

func (s *Stack) top() int {
	return s.container[s.sp]
}

func (s *Stack) isEmpty() bool {
	return s.sp == 0
}

func (s *Stack) pop() int {
	_pop := func() {
		s.container = s.container[:len(s.container)-1]
	}
	defer _pop()
	if s.isEmpty() {
		panic("There is no elements in stack!")
	}
	s.sp--
	return s.container[s.sp]
}

func (s *Stack) push(n int) {
	s.sp++
	s.container[s.sp] = n
}

func next(u int) int {
	for v := nt[u]; v < n; v++ {
		nt[u] = v + 1
		if Adj[u][v] == 1 {
			return v
		}
	}
	return -1
}

func _DFS(target int) {
	for i := 0; i < n; i++ {
		nt[i] = 0
	}
	stack := new(Stack)
	stack.container = make([]int, N)
	stack.push(target)
	statusColor[target] = GRAY
	clock++
	discoverTime[target] = clock
	for !stack.isEmpty() {
		u := stack.top()
		v := next(u)
		if v != -1 {
			if statusColor[v] == WHITE {
				statusColor[v] = GRAY
				clock++
				discoverTime[v] = clock
				stack.push(v)
			}
		} else {
			stack.pop()
			statusColor[u] = BLACK
			clock++
			finishTime[u] = clock
		}
	}
}

func DFS() {
	for i := 0; i < n; i++ {
		statusColor[i] = WHITE
		nt[i] = 0
	}
	clock = 0
	for i := 0; i < n; i++ {
		if statusColor[i] == WHITE {
			_DFS(i)
		}
	}
	for i := 0; i < n; i++ {
		fmt.Printf("%d %d %d\n", i+1, discoverTime[i], finishTime[i])
	}
}

func main() {
	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())
		scanner.Scan()
		k, _ := strconv.Atoi(scanner.Text())
		u--
		for j := 0; j < k; j++ {
			scanner.Scan()
			v, _ := strconv.Atoi(scanner.Text())
			v--
			Adj[u][v] = 1
		}
	}

	DFS()
}

Python: # -*- coding: utf-8 -*-
"""
Created on Sun Jul  8 10:56:33 2018

@author: maezawa
"""
n = int(input())
adj = [[] for _ in range(n)]
d = [0 for _ in range(n)]
f = [0 for _ in range(n)]

for j in range(n):
    ain = list(map(int, input().split()))
    u = ain[0]
    k = ain[1]
    for i in range(k):
        adj[u-1].append(ain[i+2]-1)
    adj[u-1].sort()
    #print(*adj[u-1])

t = 1

for j in range(n):
    if d[j] == 0:
        stack = [j]

    while stack:
        #print(stack)
        current = stack[-1]
        if d[current] == 0:
            d[current] = t
            t += 1
        flag = 0
        for k in adj[current]:
            if d[k] == 0:
                stack.append(k)
                flag = 1
                break
        if flag == 0:
            f[current] = t
            t += 1
            stack.pop()

    #print('current = {}, t = {}'.format(current, t))
    #print('stack', *stack)

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

Python: def get_unvisted_child(v, timestamp):
  while len(G[v]) > 0:
    c = G[v].pop(0)
    if not c in timestamp: return c
  return -1

def get_unvisited_node(G, timestamp):
  for v in sorted(G):
    if not v in timestamp: return v
  return -1

def dept_first_search(G):
  t = 1
  timestamp = {}
  stack = []

  v = get_unvisited_node(G, timestamp)
  while v > 0:
    stack.append(v)
    timestamp[v] = [t]
    t += 1

    while len(stack) > 0:
      v = stack[-1]
      c = get_unvisted_child(v, timestamp)
      if c > 0:
        #c = G[v].pop(0)
        stack.append(c)
        timestamp[c] = [t]
      else:
        timestamp[v].append(t)
        stack.pop()
      t += 1

    v = get_unvisited_node(G, timestamp)

  for v in sorted(timestamp):
    print(v, *timestamp[v])

G = {}
for i in range(int(input())):
  x = list(map(int, input().split()))
  G[x[0]] = x[2:]

dept_first_search(G)

Python: def d(u):
 global t
 C[u]=1;D[u]=t;t+=1
 for v in M[u]:v=int(v)-1;C[v]or d(v)
 F[u]=t;t+=1
N=int(input());R=range(N)
M=[input().split()[2:]for _ in R]
C,D,F=[0]*N,[0]*N,[0]*N
t=1
for i in R:C[i]or d(i)
for i in R:print(i+1,D[i],F[i])

Python: #!/usr/bin/env python3

import sys
import math
from bisect import bisect_right as br
from bisect import bisect_left as bl
sys.setrecursionlimit(2147483647)
from heapq import heappush, heappop,heappushpop
from collections import defaultdict
from itertools import accumulate
from collections import Counter
from collections import deque
from operator import itemgetter
from itertools import permutations
mod = 10**9 + 7
inf = float('inf')
def I(): return int(sys.stdin.readline())
def LI(): return list(map(int,sys.stdin.readline().split()))

cnt = 1
def dfs(x):
    global cnt
    if s[x] == None:
        s[x] = cnt
        cnt += 1
    for v in edges[x]:
        if s[v] == None:
            dfs(v)
    g[x] = cnt
    cnt += 1
    return 

n = I()
edges = [[] for _ in range(n)]
for i in range(n):
    edges[i] = list(map(lambda x:x-1,LI()[2:]))

s = [None]*n
g = [None]*n
for i in range(n):
    if s[i] == None:
        dfs(i)
for i in range(n):
    print(i+1,s[i],g[i])

Python: from typing import List


def dfs(adj_matrix: List[List[int]], vartex: int) -> int:
    global step
    global discover_times
    global finish_times
    if 0 != discover_times[vartex]:
        return 0
    discover_times[vartex] = step

    for col_idx in range(len(adj_matrix)):
        if (0 != adj_matrix[vartex][col_idx]) and (0 == discover_times[col_idx]):
            step += 1
            dfs(adj_matrix, col_idx)

    step += 1
    finish_times[vartex] = step

    return 1


if __name__ == "__main__":
    num_vertices = int(input())
    adj_matrix = [[0] * num_vertices for i in range(num_vertices)]

    for _ in range(num_vertices):
        vertex, _, *adjs = map(lambda x: int(x), input().split())
        for adj in adjs:
            adj_matrix[vertex - 1][adj - 1] = 1

    step = 1
    discover_times = [0] * num_vertices
    finish_times = [0] * num_vertices

    for vartex in range(num_vertices):
        if 1 == dfs(adj_matrix, vartex):
            step += 1

    for vertex, (d, f) in enumerate(zip(discover_times, finish_times)):
        print(f"{vertex + 1} {d} {f}")