Go: package main

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

type vertexId int

type vertex struct {
	id vertexId
	firstVisitAt int
	finishVisitAt int
	adjs []vertexId
}

func createVertex(id int, adjsInt []int) vertex {
	adjs := make([]vertexId, len(adjsInt))
	for i := 0; i < len(adjs); i++ {
		adjs[i] = vertexId(adjsInt[i])
	}
	return vertex{
		id: vertexId(id),
		firstVisitAt: 0,
		finishVisitAt: 0,
		adjs: adjs,
	}
}

func (v *vertex) doesAllAdjsVisited(vertices []vertex) bool {
	for _, vId := range v.adjs {
		adj := vertices[vId-1]
		if !adj.isVisited() {
			return false
		}
	}
	return true
}

func (v *vertex) isFirstVisit() bool {
	return v.firstVisitAt == 0
}

func (v *vertex) isVisited() bool {
	return v.firstVisitAt > 0
}

func (v *vertex) nextVertex(vertices []vertex) (vertexId, error) {
	for _, vId := range v.adjs {
		adj := vertices[vId-1]
		if !adj.isVisited() {
			return vId, nil
		}
	}
	return vertexId(-1), fmt.Errorf("illegal")
}

func dfs(currentId vertexId, timestamp int, vertices []vertex) int {
	timestamp = timestamp + 1
	currentVertex := &vertices[currentId-1]
	if currentVertex.isFirstVisit() {
		currentVertex.firstVisitAt = timestamp
	}
	for !currentVertex.doesAllAdjsVisited(vertices) {
		nextVertexId, _ := currentVertex.nextVertex(vertices)
		timestamp = dfs(nextVertexId, timestamp, vertices)
	}
	timestamp = timestamp + 1
	currentVertex.finishVisitAt = timestamp
	return timestamp
}

func main() {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)

	n, err := nextInt(sc)
	if err != nil {
		panic(err)
	}

	vertices := make([]vertex, n)
	for i := 0; i < n; i++ {
		id, err := nextInt(sc)
		if err != nil {
			panic(err)
		}
		adjN, err := nextInt(sc)
		if err != nil {
			panic(err)
		}
		adjs := make([]int, adjN)
		for j := 0; j < adjN; j++ {
			adjId, err := nextInt(sc)
			if err != nil {
				panic(err)
			}
			adjs[j] = adjId
		}
		vertices[i] = createVertex(id, adjs)
	}

	dfs(vertexId(1), 0, vertices)

	for i := 0; i < n; i++ {
		fmt.Printf("%d %d %d\n", vertices[i].id, vertices[i].firstVisitAt, vertices[i].finishVisitAt)
	}
}

func nextText(sc *bufio.Scanner) string {
	sc.Scan()
	return sc.Text()
}

func nextInt(sc *bufio.Scanner) (int, error) {
	return strconv.Atoi(nextText(sc))
}

Python: from sys import stdin
input = stdin.readline

def DFS(node):
    global time
    if discoveredtime[node] == -1:
        discoveredtime[node] = time
        time += 1

        for child in childlist[node]:
            DFS(child)
        
        finishedtime[node] = time
        time += 1

N = int(input())

childlist = [None]*(N+1)
for _ in range(N):
    u, k, *v = map(int, input().split())
    childlist[u] = v

discoveredtime = [-1]*(N+1)
finishedtime = [-1]*(N+1)
time = 1

for i in range(1, N+1):
    if discoveredtime[i] == -1:
        DFS(i)

for i in range(1, N+1):
    print(i, discoveredtime[i], finishedtime[i])

Python: n = int(input())

adj = [ [] for _ in range (n) ]

for i in range(n):
    _, _, *adj[i] = list(map(int, input().split()))

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

def dfs(u):
    global time
    time += 1
    flag[u-1] = 1
    d[u-1] = time
    
    for v in adj[u-1]:
        if flag[v-1] == 0:
            dfs(v)

    time += 1
    f[u-1] = time

for i in range(n):
    if flag[i] == 0:
        dfs(i+1)

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

Python: n = int(input())

adj = [None]
for i in range(n):
    adj_i = list(map(int, input().split()[2:]))
    adj.append(adj_i)

# searched or not, number of vertex, discovery time and finishing time.
sndf = [None]
for i in range(1, n + 1):
    sndf.append([False, i])

path = []

time = 0

def dfs(u):
    global time
    sndf[u][0] = True
    time += 1
    sndf[u].append(time)

    for v in adj[u]:
        if not sndf[v][0]:
            dfs(v)
    time += 1
    sndf[u].append(time)


for i in range(1, n + 1):
    if not sndf[i][0]:
        dfs(i)

for x in sndf[1:]:
    print(*x[1:])

Python: #!/usr/bin/env python3
# -*- coding: utf-8 -*-

import sys

WHITE = 0
GRAY = 1
BLACK = 2


def dbg_record(records):
    for index, record in enumerate(records):
        print("???????????????: %d" % index)
        if isinstance(record, dict):
            print("??\??????: %d" % record.get("visit", -1))
            print("?????????: %d" % record.get("leave", -1))
        else:
            print("?????????")
        print("")


def dfs(matrix):
    def internal_dfs(node_id, current_time):
        if state[node_id] == WHITE:
            # ?¨??????????
            state[node_id] = GRAY
            stack.append(node_id)
            records[node_id] = {"visit": current_time}  # ?¨??????????????¨????

            # ?¬?????¨????????????¨?????§????????????????????¢???
            next_id = None
            for index in range(len(matrix)):
                if matrix[node_id][index] == 1 and state[index] == WHITE:
                    next_id = index
                    break

            if next_id is not None:
                internal_dfs(next_id, current_time + 1)
            elif 0 < len(stack):
                # ?¬?????¨????????????¨?????§?????????????????????????????????????????°?????????
                internal_dfs(stack.pop(), current_time + 1)
        elif state[node_id] == GRAY:
            # ????????????
            state[node_id] = BLACK
            records[node_id]["leave"] = current_time  # ????????????????¨????

            # ?¬?????¨????????????¨?????§????????????????????¢???
            next_id = None
            for index in range(len(matrix)):
                if matrix[node_id][index] == 1 and state[index] == WHITE:
                    next_id = index
                    break

            if next_id is not None:
                internal_dfs(next_id, current_time + 1)
            elif 0 < len(stack):
                # ?¬?????¨????????????¨?????§?????????????????????????????????????????°?????????
                internal_dfs(stack.pop(), current_time + 1)

    state = [WHITE] * len(matrix)  # White, Gray, Black
    records = [None] * len(matrix)  # Save time when the node is processed
    stack = []

    internal_dfs(0, 1)
    # dbg_record(records)
    return records


if __name__ == "__main__":
    # ??????????????????
    lines = [
        "6",
        "1 2 2 3",
        "2 2 3 4",
        "3 1 5",
        "4 1 6",
        "5 1 6",
        "6 0",
    ]
    # lines = sys.stdin.readlines()

    # Create n * n matrix
    dimension = int(lines[0])
    matrix = []
    for x in range(dimension):
        matrix.append([0] * dimension)

    # Set edge info
    for index, line in enumerate(lines[1:]):
        for edge in [int(x) for x in line.strip().split(" ")[2:]]:
            matrix[index][edge - 1] = 1

    result = dfs(matrix)
    for index, line in enumerate(result):
        print("%d %d %d" % (index + 1, line["visit"], line["leave"]))

Python: # 深さ優先探索（行きがけ、帰りがけ）
import sys
input = sys.stdin.readline
from collections import deque

# グラフの作成(無向グラフでは#を消す)
N = int(input())
graph = [deque([]) for _ in range(N + 1)]
for _ in range(N):
    u, k, * v = [int(x) for x in input().split()] # uは頂点番号、kは隣接頂点の個数
    v.sort()
    for i in v:
        graph[u].append(i)
        # graph[i].append(u) # 無向グラフ

time = 0
arrive_time = [-1] * (N + 1) # 到着時刻
finish_time = [-1] * (N + 1) # 探索終了時刻

# 深さ優先探索
def dfs(v):
    global time
    time += 1
    stack = [v]
    arrive_time[v] = time
    while stack:
        v = stack[-1]
        if graph[v]:
            w = graph[v].popleft()
            if arrive_time[w] < 0:
                time += 1
                arrive_time[w] = time
                stack.append(w) 
        else:
            time += 1
            finish_time[v] = time
            stack.pop()          
    return [arrive_time, finish_time]

# 孤立している頂点対策
for i in range(N):
    if arrive_time[i + 1] < 0:
        ans = dfs(i + 1)

# 頂点番号、到着時刻、終了時刻
for j in range(N):
    temp = [j + 1, ans[0][j + 1], ans[1][j + 1]]
    print(* temp)