Go: package main

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

var N int
var A [][]int
var t int
var color, d, f []int

const (
	WHITE = iota
	GRAY
	BLACK
)

func dfsVisit(u int) {
	color[u] = GRAY
	t ++
	d[u] = t
	for v:=0; v<N; v++ {
		if A[u][v] == 0 {
			continue
		}
		if color[v] == WHITE {
			dfsVisit(v)
		}
	}
	color[u] = BLACK
	t++
	f[u] = t
}

func dfs() {
	for u:=0; u<N; u++ {
		if color[u] == WHITE {
			dfsVisit(u)
		}
	}
	for u:=0; u<N; u++{
		fmt.Printf("%d %d %d\n", u+1, d[u], f[u])
	}
}


func nextInt(scanner *bufio.Scanner) int {
	scanner.Scan()
	num, _ := strconv.Atoi(scanner.Text())
	return num
}

func main() {
	scanner := bufio.NewScanner(os.Stdin)
	scanner.Split(bufio.ScanWords)
	N = nextInt(scanner)
	color = make([]int, N)
	d = make([]int, N)
	f = make([]int, N)
	A = make([][]int, N)
	for i:=0; i<N; i++{
		A[i] = make([]int, N)
	}
	for i:=0; i<N; i++{
		index := nextInt(scanner) - 1
		cnt := nextInt(scanner)
		for j:=0; j<cnt; j++ {
			v := nextInt(scanner) - 1
			A[index][v] = 1
		}
	}
	dfs()
}

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:
                return internal_dfs(next_id, current_time + 1)
            elif 0 < len(stack):
                # ?¬?????¨????????????¨?????§?????????????????????????????????????????°?????????
                return internal_dfs(stack.pop(), current_time + 1)
        elif state[node_id] == GRAY:
            # ????????????

            # ?¬?????¨????????????¨?????§????????????????????¢???
            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:
                stack.append(node_id)
                return internal_dfs(next_id, current_time)
            elif 0 < len(stack):
                # ?¬?????¨????????????¨?????§?????????????????????????????????????????°?????????
                state[node_id] = BLACK
                records[node_id]["leave"] = current_time  # ????????????????¨????
                return internal_dfs(stack.pop(), current_time + 1)
            else:  # ??????????§????????????£???????????¨??? (node_id should be 0)
                state[node_id] = BLACK
                records[node_id]["leave"] = current_time
                return current_time
        elif state[node_id] == BLACK:
            print("Black!!")

    state = [WHITE] * len(matrix)  # White, Gray, Black
    records = [None] * len(matrix)  # Save time when the node is processed
    stack = []
    current_time = 0

    while True:
        node_id = None
        for index, record in enumerate(records):
            if record is None:
                node_id = index
                break

        if node_id is None:
            break
        else:
            current_time = internal_dfs(node_id, current_time + 1)

    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

    records = dfs(matrix)
    for index, line in enumerate(records):
        if line is not None:
            print("%d %d %d" % (index + 1, line.get("visit", -1), line.get("leave", -1)))
        else:
            print("%d None None" % (index + 1))

Python: n = int(input())
g = [[]for i in range(n)]
for i in range(n):
    v = list(map(int,input().split()))
    u = v[0]-1
    k = v[1]
    for j in range(k):
        g[u].append(v[j+2]-1)
time = 1
ans = []
d = [0]*n
f = [0] *n
visited = [0]*n

def dfs(now,last = -1):
    global time
    
    visited[now] = 1
    d[now] = time
    time += 1
    for next in g[now]:
        if visited[next]:continue
        dfs(next,now)
    f[now] = time
    time +=1
    
for i in range(n):
    if not visited[i]:dfs(i)
for i in range(n):
    print(i+1,d[i],f[i])

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

edge=[[0 for i2 in range(n)]for i1 in range(n)]

#??£??\???????????????

for i in range(n):
    for j in range(adj[i][1]):
        edge[i][adj[i][j+2]-1]=1


time=1
discover=[0 for i in range(n)]
final=[0 for i in range(n)]
stack=[]

def dfs(id,time):
    for i in range(n):
        c=0
        if edge[id][i]==1 and discover[i]==0:
            stack.append(id)
            discover[i]=time
            c+=1
            #print(discover,final,i,stack)
            dfs(i,time+1)
        else:
            pass
    if c==0:
        if len(stack)>0:
            if final[id]==0:
                final[id] = time
                #print("back",discover,final,id,stack)
                dfs(stack.pop(), time + 1)
            else:
                #print("back", discover, final, id, stack)
                dfs(stack.pop(),time)

discover[0]=time
stack.append(0)
dfs(0,time+1)


for i in range(n):
    if discover[i]==0:
        discover[i]=final[0]+1
        stack.append(i)
        dfs(i,final[0]+2)
        break

for i in range(n):
    print(i+1,discover[i],final[i])

Python: # 深さ優先探索 Depth first search: DFS


def dfs(u):
    global time
    color[u - 1] = 0
    time += 1
    d[u - 1] = time
    for v in range(1, n + 1):
        if A[u - 1][v - 1] == 1 and color[v - 1] == -1:
            dfs(v)
    color[u - 1] = 1
    time += 1
    f[u - 1] = time


n = int(input())
A = [[0 for i in range(n)] for i in range(n)]
for i in range(n):
    dat = [int(j) for j in input().split()]
    for j in range(dat[1]):
        A[dat[0] - 1][dat[2 + j] - 1] = 1

color = [-1 for i in range(n)]
d = [-1 for i in range(n)]
f = [-1 for i in range(n)]
time = 0
for i in range(n):
    if color[i] == -1:
        dfs(i+1)

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

Python: n = int(input())
graph = [[] for _ in range(n)]
for i in range(n):
    in_list = list(map(int, input().split()))
    u = in_list[0]
    graph[u - 1] = in_list[2:]

d = [0 for _ in range(n)]
f = [0 for _ in range(n)]
time = 0

def dfs(now, prev, graph, d, f):
    if d[now] != 0:
        return d, f
    global time
    time += 1
    d[now] = time
    if not graph[now]:
        f[now] = time + 1
        time += 1
        return
    for k in graph[now]:
        if k - 1 == prev or d[k-1] !=0:
            continue
        dfs(k - 1, now, graph, d, f)
    else:
        time += 1
        f[now] = time
    return d, f



for i in range(n):
    d, f = dfs(i, 0, graph, d, f)
    print(i+1, d[i], f[i])