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+1)
	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: 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])

Python: N = int(input())
L = [[] for i in range(N+1)]
d = [0] * (N+1)
f = [0] * (N+1)

time = 0

def dfs(key):
    global time
    time += 1
    d[key] = time
    for i in range(len(L[key])):
        if d[L[key][i]] == 0:
            dfs(L[key][i])
    time += 1
    f[key] = time
        

for i in range(N):
    Q = list(map(int, input().split()))
    L[Q[0]].extend(Q[2:])

for i in range(1,N+1):
    if d[i] == 0:
        dfs(i)
        #print("done")

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

Python: n = int(input())
graph = [[0 for i in range(n)] for j in range(n)]
d = [0] * n
f = [0] * n
g = [0] * n

time = 0

for i in range(n):
   a = list(map(int, input().split()))
   for j in range(0, a[1], 1):
       graph[a[0] - 1][a[2 + j] - 1] = 1

def search(i):
    global time
    time = time + 1
    d[i] = time
    g[i] = 1
    for j in range(n):
        if (graph[i][j] == 1) & (g[j] == 0):
            search(j)
    time = time + 1
    f[i] = time

for i in range(n):
    if g[i] == 0:
        search(i)
[print(i+1, d[i], f[i]) for i in range(n)]

Python: import sys


def input():
    return sys.stdin.readline().rstrip()


def dfs(c, n, G, ans):
    count = c
    for i, flag in enumerate(G[n]):
        if flag == 1 and ans[i][0] == 0:
            count += 1
            ans[i][0] = i + 1
            ans[i][1] = count
            ans[i][2] = dfs(count, i, G, ans)
            count = ans[i][2]
    else:
        return count + 1


def main():
    n = int(input())
    G = [[0] * n for _ in range(n)]
    ans = [[0] * 3 for _ in range(n)]
    for i in range(n):
        u, k, *v = map(int, input().split())
        for j in range(k):
            G[u-1][v[j]-1] = 1

    count = 1
    for i in range(n):
        if ans[i][0] == 0:
            ans[i][0] = i + 1
            ans[i][1] = count
            ans[i][2] = dfs(count, i, G, ans)
            count = ans[i][2] + 1

    for i in range(n):
        print(*ans[i])


if __name__ == '__main__':
    main()