Go: package main

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

var scanner = bufio.NewScanner(os.Stdin)

func nextString() string {
	scanner.Scan()
	return scanner.Text()
}

func nextInt() int {
	n, err := strconv.Atoi(nextString())
	if err != nil {
		fmt.Printf("strconv.Atoi failed: %v\n", err)
	}
	return n
}

var infty = 1000000000

type nodeKey int

type DirectedGraphNode struct {
	key       nodeKey
	adjacents []*DirectedGraphNode
	visited   bool
	d         int
	f         int
	parent    *DirectedGraphNode
}

type DirectedGraph struct {
	nodes []*DirectedGraphNode
}

func (g *DirectedGraph) setAdjacency(l, r nodeKey) {
	g.nodes[l].adjacents = append(g.nodes[l].adjacents, g.nodes[r])
}

func newDirectedGraph(nNodes int) *DirectedGraph {
	graph := DirectedGraph{}
	graph.nodes = make([]*DirectedGraphNode, nNodes)
	for iNodes := 0; iNodes < nNodes; iNodes++ {
		graph.nodes[iNodes] = &DirectedGraphNode{}
		graph.nodes[iNodes].key = nodeKey(iNodes)

		graph.nodes[iNodes].visited = false
		graph.nodes[iNodes].d = infty
		graph.nodes[iNodes].f = infty
		graph.nodes[iNodes].parent = nil
	}
	return &graph
}

type QueueEntry struct {
	node *DirectedGraphNode
	next *QueueEntry
}

type Queue struct {
	head, tail *QueueEntry
}

func (q *Queue) enqueue(node *DirectedGraphNode) {
	entry := QueueEntry{}
	entry.node = node

	if q.tail == nil {
		q.head = &entry
		q.tail = &entry
		return
	}

	q.tail.next = &entry
	q.tail = q.tail.next
}

func (q *Queue) dequeue() *QueueEntry {
	if q.head == nil {
		return nil
	}
	poped := q.head
	q.head = q.head.next
	if q.head == nil {
		q.tail = nil
	}
	return poped
}

func (q *Queue) isEmpty() bool {
	return q.head == nil
}

var time = 0

func fillDistancesByDepthFirstSearch(g *DirectedGraph) {
	for _, u := range g.nodes[1:] {
		if !u.visited {
			dfsVisit(g, u)
		}
	}
}

func dfsVisit(g *DirectedGraph, u *DirectedGraphNode) {
	time++
	u.d = time

	u.visited = true
	for _, v := range u.adjacents {
		if !v.visited {
			v.parent = u
			dfsVisit(g, v)
		}
	}
	time++
	u.f = time
}

func main() {
	scanner.Split(bufio.ScanWords)

	nNodes := nextInt()
	g := newDirectedGraph(nNodes + 1)

	for iNode := 0; iNode < nNodes; iNode++ {
		nodeKeyLeft := nodeKey(nextInt())
		nAdj := nextInt()
		for iAdj := 0; iAdj < nAdj; iAdj++ {
			nodeKeyRight := nodeKey(nextInt())
			g.setAdjacency(nodeKeyLeft, nodeKeyRight)
		}
	}

	fillDistancesByDepthFirstSearch(g)

	for iNode := 1; iNode <= nNodes; iNode++ {
		node := g.nodes[iNode]
		fmt.Println(node.key, node.d, node.f)
	}
}

Python: def dfs(u):
    global dfs_color, d, f, t
    color[u] = GRAY
    d[u] += t
    t += 1
    for v in range(n):
        if (M[u][v] == 0):
            continue
        else:
            if (color[v] == WHITE):
               dfs(v)
    color[u] = BLACK
    f[u] = t
    t += 1

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

WHITE = 0
GRAY = 1
BLACK = 2
color = [WHITE for i in range(n)]
d = [0 for i in range(n)]
f = [0 for i in range(n)]
t = 1

for u in range(n):
    if (color[u] == WHITE):
        dfs(u)
for u in range(n):
    print(str(u+1), str(d[u]), str(f[u]), sep = " ")

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: 
d = None
f = None


def dfs(g, cur, time):
    global d, f
    d[cur] = time
    for next in g[cur]:
        if d[next] == 0:
            time = dfs(g, next, time+1)
    f[cur] = time + 1
    return time + 1


def main():
    global d, f
    n = int(input())
    g = [[] for _ in range(n)]
    d = [0 for _ in range(n)]
    f = [0 for _ in range(n)]
    for _ in range(n):
        inp = list(map(int, input().split()))
        m = inp[0] - 1
        k = inp[1]
        for i in range(k):
            g[m].append(inp[i+2] - 1)
    dfs(g, 0, 1)
    for i in range(n):
        print(i+1, d[i], f[i])


if __name__ == '__main__':
    main()

Python: from typing import List


def alds_1_11a():
    n = int(input())
    for i in range(n):
        u, k, *v = map(int, input().split())
        a = [0] * n
        for i_v in v:
            index_v = i_v - 1
            a[index_v] = 1
        print(*a)
    return


def print_matrices_list(matrices_list):
    for index_row in range(len(matrices_list)):
        print(*matrices_list[index_row])
    return


# def depth_first_search(u, stack, color, d):
#     stack.append(u)
#     color[u] = 1
#     while len(stack) != 0:
#     pass


def accept_adjacency_list() -> List[List[int]]:
    n = int(input())
    adjancy_list = []
    for i in range(n):
        list_u = list(map(int, input().split()))
        adjancy_list.append(list_u)
    return adjancy_list


def adjacency_list2adjacency_matrices(adj_list: List[List[int]]) -> List[List[int]]:
    adjancy_matrices = []
    n = len(adj_list)
    for list_u_i in adj_list:
        id_u, degree_k, *list_v = list_u_i
        list_row = [0] * n
        for v_i in list_v:
            list_row[v_i - 1] = 1
        adjancy_matrices.append(list_row)
    return adjancy_matrices


def dfs(adj_mat):
    n = len(adj_mat)
    list_colors = [0] * n  # 0:white, 1:gray, 2:black
    time = 0
    d = [0] * n  # 最初に訪問した頂点uの発見時刻
    f = [0] * n  # uの隣接リストを調べ終えた完了時刻

    for u in range(n):
        if list_colors[u] == 0:
            list_colors, time, d, f = dfs_visit(u, list_colors, adj_mat, d, f, time)

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


def dfs_visit(u: int, list_colors: list, adj_mat: list, d: list, f: list, time: int):
    list_colors[u] = 1  # uを訪問
    time += 1
    d[u] = time
    for v in range(len(list_colors)):  # v:次に探索する場所
        if adj_mat[u][v] == 0:  # uからvに行く辺がないなら次へ
            continue
        if list_colors[v] == 0:  # uからvに道があるかつ行ったことがないなら行く。
            list_colors, time, d, f = dfs_visit(
                u=v, list_colors=list_colors, adj_mat=adj_mat, d=d, f=f, time=time
            )
    list_colors[u] = 2
    time += 1
    f[u] = time
    return list_colors, time, d, f


if __name__ == "__main__":
    # init
    adjacency_list = accept_adjacency_list()
    adjacency_matirces = adjacency_list2adjacency_matrices(adj_list=adjacency_list)

    dfs(adj_mat=adjacency_matirces)

Python: n = int(input())
ukv = [[0, 0, 0]] + [list(map(int, input().split())) for _ in range(n)]

stack = []
visited = []
time = 0
d = [0] * (n + 1)
f = [0] * (n + 1)
for i in range(1, n + 1):
    if i not in visited:
        stack.append(i)
        visited.append(i)
        time += 1
        d[i] = time

        while stack:
            s = stack[-1]
            k = ukv[s][1]
            if k == 0:
                stack.pop()
                time += 1
                f[s] = time
            else:
                ukv[s][1] -= 1
                v = ukv[s].pop(2)
                if v not in visited:
                    stack.append(v)
                    visited.append(v)
                    time += 1
                    d[v] = time

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