Go: package main

import (
	"fmt"
)

func main() {
	var n int
	fmt.Scan(&n)
	g := make([][]int, n+1)
	for i := 0; i < n; i++ {
		var u,k int
		fmt.Scan(&u)
		fmt.Scan(&k)
		g[u] = make([]int, k)
		for j := 0; j < k; j++ {
			fmt.Scan(&g[u][j])
		}
	}

	d := make([]int, n+1)
	f := make([]int, n+1)
	dfs(&g, &d, &f, 1, 1)

	for i := 1; i <= n; i++ {
		fmt.Printf("%d %d %d\n", i, d[i], f[i])
	}
}

func dfs(g *[][]int, d *[]int, f *[]int, id int, t int) int {
	if (*d)[id] > 0 {
		return t
	}
	(*d)[id] = t
	t += 1
	for i := 0; i < len((*g)[id]); i++ {
		t = dfs(g, d, f, (*g)[id][i], t)
	}
	(*f)[id] = t
	return t+1
}

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

"""
input:
6
1 2 2 3
2 2 3 4
3 1 5
4 1 6
5 1 6
6 0

output:
1 1 12
2 2 11
3 3 8
4 9 10
5 4 7
6 5 6
"""
import sys

UNVISITED, VISITED_IN_STACK, POPPED_OUT = 0, 1, 2


def generate_adj_matrix(v_info):
    for v_detail in v_info:
        v_index, adj_num, *adj_list = map(int, v_detail)
        # assert len(adj_list) == adj_num
        init_adj_table[v_index].extend(sorted(adj_list, reverse=True))
    return init_adj_table


def graph_dfs(v_init):
    global time

    # init the first node of overall graph iterations(times >= 1)
    stack.append(v_init)
    color[v_init] = VISITED_IN_STACK
    d_time[v_init] += time
    # init end

    while stack:
        current = stack[-1]
        v_table = adj_table[current]
        # if adj is None, current's adj(s) have been all visited
        adj = v_table.pop() if v_table else None

        if adj:
            if color[adj] is UNVISITED:
                color[adj] = VISITED_IN_STACK
                time += 1
                d_time[adj] += time
                stack.append(adj)
        else:
            stack.pop()
            color[current] = POPPED_OUT
            time += 1
            f_time[current] += time

    return None


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


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

    # config length = (vertex_num + 1)
    stack = []
    color = [UNVISITED] * (vertices_num + 1)
    d_time, f_time = ([0] * (vertices_num + 1) for _ in range(2))

    adj_table = generate_adj_matrix(vertices_info)
    # timing start from 1
    time = 1
    dfs_start()

    for index, v in enumerate(zip(d_time[1:], f_time[1:]), 1):
        print(index, *v)

Python: n=int(input())
adj=[]
for i in range(n):
	a=list(map(int,input().split()))
	for j in range(2,len(a)):
		a[j]-=1
	adj.append(a[2:])
visit_time1=[0]*n
visit_time2=[0]*n
visited=[0]*n
def dfs(now):
	global time
	visit_time1[now]=time
	time+=1
	for next in adj[now]:
		if not visited[next]:
			visited[next]=True
			dfs(next)
	visit_time2[now]=time
	time+=1
time=1
for i in range(n):
	if not visited[i]:
		visited[i]=True
		dfs(i)
for i in range(n):
	print(i+1,visit_time1[i],visit_time2[i])

Python: n = int(input())

A = [[0] * n for _ in range(n)]

for _ in range(n):
    u, k, *v = list(map(int, input().split()))
    for j in v:
        A[u-1][j-1] = 1

# for row in A:
#     print(' '.join(list(map(str,row))))

t = 0
d = [None] * n
f = [None] * n

def dfs_recursive(u):
    global t
    t += 1
    d[u] = t
    for v in range(n):
        if A[u][v] == 1 and d[v] is None:
            dfs_recursive(v)
    t += 1
    f[u] = t

def dfs_stack(root):
    global t
    stack = []
    stack.append(root)
    while stack:

        # 一番最後の要素をなめる
        u = stack[-1]

        # 未訪問の場合は訪問済みにする
        if d[u] is None:
            t += 1
            d[u] = t

        # 次の訪問先を探す
        has_next_node = False
        for v in range(n):
            if A[u][v] == 1 and d[v] is None:
                stack.append(v)
                has_next_node = True
                break

        # 次の訪問先がなければ訪問終了
        if not has_next_node:
            t += 1
            # スタックから取り出す
            stack.pop()

            # 時刻を記録
            f[u] = t
            
for i in range(n):
    if d[i] is None:
        dfs_recursive(i)
        # dfs_stack(i)

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

Python: N = input()
color = [0] * N
d = [0] * N
f = [0] * N
nt = [0] * N
m = [[0] * N for i in range(N)]
S = []
tt = 0

def next(u):
    global nt
    w = nt[u]
    for v in range(w, N):
        nt[u] = v + 1
        if( m[u][v] ):
            return v
    return -1

def dfs_visit(r):
    global tt 
    S.append(r)
    color[r] = 1
    tt += 1
    d[r] = tt

    while( len(S) != 0 ):
        u = S[-1]

        v = next(u)
        if ( v != -1 ):
            if ( color[v] == 0 ):
                color[v] = 1
                tt += 1
                d[v] = tt
                S.append(v)
        else:
            S.pop()
            color[u] = 2
            tt += 1
            f[u] = tt
        
def dfs():
    global color
    for u in range(N):
        if( color[u] == 0 ):
            dfs_visit(u)

if __name__ == '__main__':

    for i in range(N):
        v = map(int, raw_input().split())
        for j in v[2:]:
            m[i][j-1] = 1
    
    dfs()

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

Python: class Node:

    def __init__(self):
        self.distime = 0
        self.fintime = 0

    def input_data(self, nodes):
        data = input().split()
        self.number = int(data[0])
        self.v = [nodes[int(x) - 1] for x in data[2:]]

    @property
    def status(self):
        return bool(self.distime) + bool(self.fintime)

class Stack:
    def __init__(self, size):
        self.size = size
        self.N = [None for _ in range(size)]
        self.top = 0

    def is_emtpy(self):
        return self.top == 0

    def is_full(self):
        return self.top == self.size

    def front(self):
        return self.N[self.top - 1]

    def push(self, x):
        if self.is_full():
            raise OverflowError
        self.N[self.top] = x
        self.top += 1

    def pop(self):
        if self.is_emtpy():
            raise IndexError
        self.top -= 1
        return self.N[self.top]


def visit(node: Node):
    global t
    stack.push(node)
    t += 1
    node.distime = t
    while not stack.is_emtpy():
        u: Node = stack.front()
        try:
            v = next(i for i in u.v if i.status == 0)
        except StopIteration:
            stack.pop()
            t += 1
            u.fintime = t
        else:
            if v.status == 0:
                stack.push(v)
                t += 1
                v.distime = t


n = int(input())
stack = Stack(n)
nodes = [Node() for _ in range(n)]
[node.input_data(nodes) for node in nodes]
t = 0
for node in nodes:
    if node.status == 0:
        visit(node)

nodes.sort(key=lambda i: i.number)
for node in nodes:
    print(f"{node.number} {node.distime} {node.fintime}")

Python: # https://onlinejudge.u-aizu.ac.jp/courses/lesson/1/ALDS1/11/ALDS1_11_B
# 本の解説通りかは知らない

# データの読み込み
N = int(input())
DG = {}
node_ls = []
is_visited = {}
# 有向グラフをディクトで管理することにする
for _ in range(N):
    tmp = input().split()
    node_id = tmp[0]
    node_ls.append(node_id)
    is_visited[node_id] = False
    adj_num = int(tmp[1])
    if adj_num != 0:
        DG[node_id] = tmp[2:]
    else:
        DG[node_id] = []

d = {}  # 最初に訪問したときの発見時刻を記録する
f = {}  # 隣接リストを調べ終えた完了時刻を記録する
t = 1


def dfs(node):  # 必要なものは何？ 現在のノード
    # 終了条件
    global t
    if is_visited[node]:
        return  # 何もせずに上の関数に抜ける

    is_visited[node] = True
    # 発見時刻の書き込み
    d[node] = t
    t += 1  # 時刻を一つ進める
    # 再帰探索
    for no in DG[node]:
        dfs(no)
    f[node] = t
    t += 1  # 関数を終了するときにも+1する


for node in node_ls:  # 孤立しているノードもあるためこうして対処
    dfs(node)

for node in node_ls:
    print(node, d[node], f[node])