Go: package main

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

//util
var sc = bufio.NewScanner(os.Stdin)

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

func nextInt() int {
	sc.Scan()
	i, e := strconv.Atoi(sc.Text())
	if e != nil {
		panic(e)
	}
	return i
}

func printList(list []int) {
	n := len(list)
	buf := bufio.NewWriter(os.Stdout)
	for _, v := range list[0 : n-1] {
		buf.Write([]byte(fmt.Sprintf("%d ", v)))
	}
	buf.Write([]byte(fmt.Sprintf("%d\n", list[n-1])))
	buf.Flush()
}

func max(a, b int) int {
	if a > b {
		return a
	} else {
		return b
	}
}

func min(a, b int) int {
	if a > b {
		return b
	} else {
		return a
	}
}

//solve

const MAX = 100
const WHITE = 0
const GRAY = 1
const BLACK = 2

var time, n int

//隣接行列
var M [MAX][MAX]int

//d[i]: 最初にiを訪問した時刻。発見時刻
//f[i]: iの隣接リストを訪問し終えた時刻。完了時刻
var color, d, f [MAX]int

func dfs_visit(u int) {
	color[u] = GRAY
	time++
	d[u] = time
	//隣接を調べる
	for v := 0; v < n; v++ {
		if M[u][v] == 0 {
			continue
		}
		//隣接するvが、未訪問だった場合
		if color[v] == WHITE {
			dfs_visit(v)
		}
	}
	//訪問完了処理
	color[u] = BLACK
	time++
	f[u] = time
	//訪問完了
}

func dfs() {
	//初期化
	for u := 0; u < n; u++ {
		color[u] = WHITE
	}
	time = 0

	//未訪問のuを始点として、深さ優先探索
	for u := 0; u < n; u++ {

		if color[u] == WHITE {
			dfs_visit(u)
		}
	}

	for u := 0; u < n; u++ {
		fmt.Println(u+1, d[u], f[u])
	}
}

func main() {
	sc.Split(bufio.ScanWords)
	n = nextInt()
	for i := 0; i < n; i++ {
		u, k := nextInt(), nextInt()
		M[u-1][u-1] = 0

		//fmt.Println(u, k)
		if k > 0 {
			for j := 0; j < k; j++ {

				v := nextInt()
				M[u-1][v-1] = 1

			}
		}

	}

	dfs()

}

Python: #!/usr/bin/python3

def find(A, id, V, time):
    i = id - 1
    A[i][0] = True
    A[i][1] = time
    time += 1
    for v in V[i]:
        if A[v - 1][0] == False:
            time = find(A, v, V, time)
    A[i][2] = time
    time += 1
    return time

n = int(input())
# [isFind, d, f]
A = [[False, 0, 0] for i in range(n)]
U = []
V = []
for i in range(n):
    l = list(map(int, input().split()))
    U.append(l[0])
    V.append(l[2:])

find(A, 1, V, 1)
for u in U:
    l = [u]
    l.extend(A[u - 1][1:])
    print(' '.join(map(str, l)))

Python: n=int(input())

l=[[0 for i in range(n)] for j in range(n)]##静的確保 隣接行列
d=[0 for i in range(n)]##発見
f=[0 for i in range(n)]##完了
stack=[]##スタック
check=[]

for i in range(n):
    p=[int(x) for x in input().split()]
    
    for j in range(n):
        if j+1 in p[2:]:
            l[i][j]=1
##print("---隣接行列---")
##print(l)

time=1


while len(check)<n:
    for i in range(n):
        if i+1 not in check:
            stack+=[i+1]
            d[i]=time
            break
        else: pass

    while len(stack)!=0:
        ##print("----------while---------")
        for i in range(n):
            if l[stack[-1]-1][i]==1 and not i+1 in check and stack[-1]-1!=i:
                time+=1
                d[i]=time
                stack+=[i+1]

               ## print("stack:",stack)
               ## print("check:",check)
               ## print("d[",i,"]:",d[i])
                break
            elif i==n-1:
##最深    
                check+=[stack[-1]]
                time+=1
                f[stack.pop()-1]=time

               ## print("f[",i,"]:",f[i])
               ## print("check:",check)
    time+=1


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

Python: from collections import deque

def dfs(v):
    global t
    
    d[v] = t
    visited[v] = True
    t += 1
    
    for u in graph[v]:
        if not visited[u]: dfs(u)
    f[v] = t
    t += 1
    
    
n = int(input())
graph = [deque() for i in range(n)]

visited = [False] * n
d = [0] * n
f = [0] * n
t = 1

for i in range(n):
    nums = list(map(int, input().split()))
    for j in nums[2:]:
        graph[i].append(j-1)
         
for i in range(n):
    if not visited[i]: dfs(i)

for idx, df in enumerate(zip(d, f)):
    print(idx+1, df[0], df[1])

Python: from collections import defaultdict

def dfs(edges, n, d, f, time):
    if n in d:
        return
    time[0] += 1
    d[n] = time[0]
    for to in edges[n]:
        dfs(edges, to, d, f, time)
    time[0] += 1
    f[n] = time[0]

N = int(input())

edges = defaultdict(list)

for _ in range(N):
    l = list(map(int, input().split()))
    fr = l[0]
    degree = l[1]
    edges[fr] = l[2:]

d = {} # discover time                                                                                                                                                                                      
f = {} # finish time                                                                                                                                                                                        

time = [0]
for n in range(1, N+1):
    dfs(edges, n, d, f, time)

for n in range(1, N+1):
    print('%d %d %d' % (n, d[n], f[n]))

Python: def depth_search(i, adj, d, f, t):
    if d[i - 1]:
        return t
    d[i - 1] = t
    t += 1
    for v in adj[i - 1]:
        t = depth_search(v, adj, d, f, t)
    f[i - 1] = t
    t += 1
    return t
n = int(input())
adj = [list(map(int, input().split()))[2:] for _ in range(n)]

d = [0] * n
f = [0] * n

t = 1
for i in range(n):
    if d[i] == 0:
        t = depth_search(i + 1, adj, d, f, t)

for i, df in enumerate(zip(d, f)):
    print(i + 1, *df)

Python: from enum import Enum

class Dfs(object):
    """ Depth First Search """
    class Status(Enum):
        white = 1
        gray = 2
        black = 3

    def __init__(self, data):
        self.time = 0
        num_of_nodes = len(data)+1
        self.color = [Dfs.Status.white] * (num_of_nodes+1)
        self.S = []
        self.M = self._make_matrix(data)
        self.s_time = [0] * (len(data) + 1)
        self.f_time = [0] * (len(data) + 1)

    def _make_matrix(self, data):
        """ ??£??\??????????????? (M[i][j]?????¢??§??????????????????+1??????????????????????????????) """
        num = len(data)
        graph_table = [[0] * (num+1) for _ in range(num+1)]
        for d in data:
            node_id = d[0]
            num_of_e = d[1]
            for e in d[2:]:
                graph_table[node_id][e] = 1
        return graph_table

    def search(self, start):
        self.time += 1
        self.s_time[start] = self.time
        self.S.append(start)
        self.color[start] = Dfs.Status.gray

        while self.S:
            u = self.S[-1]
            v = self.next(u)
            if v != None:
                if self.color[v] == Dfs.Status.white:
                    self.color[v] = Dfs.Status.gray
                    self.time += 1
                    self.s_time[v] = self.time
                    self.S.append((v))
            else:
                self.S = self.S[:-1]
                self.color[u] = Dfs.Status.black
                self.time += 1
                self.f_time[u] = self.time

    def next(self, node):
        """ ?¬?????¨???????????±???????????????????????????????????????????????¨??????????????????????????????? """
        edges = self.M[node]
        for i in range(1, len(edges)):
            if edges[i] == 1:
                if self.color[i] == Dfs.Status.white:
                    return i
        return None

    def print(self):
        for r in self.M:
            print(*r)



if __name__ == '__main__':
    # ??????????????\???
    num = int(input())
    data = []
    for _ in range(num):
        data.append(list(map(int, input().split(' '))))

    # ???????????????
    d = Dfs(data)
    # d.print()
    d.search(1)

    # ???????????????
    for i in range(1, num+1):
        print('{0} {1} {2}'.format(i, d.s_time[i], d.f_time[i]))