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)
	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 Vertex:
    def __init__(self,key):
        self.id = key
        self.connectedTo = {}
        self.color = 'white'
        self.dist =10000000
        self.pred = None
        self.disc = 0
        self.fin = 0
    
    def addNeighbor(self,nbr,weight=0):
        self.connectedTo[nbr] = weight

    def setColor(self,color):
        self.color = color

    def setDistance(self,d):
        self.dist = d

    def setPred(self,p):
        self.pred = p

    def setDiscovery(self,dtime):
        self.disc = dtime
        
    def setFinish(self,ftime):
        self.fin = ftime
        
    def getFinish(self):
        return self.fin
        
    def getDiscovery(self):
        return self.disc
        
    def getPred(self):
        return self.pred
        
    def getDistance(self):
        return self.dist
        
    def getColor(self):
        return self.color

    def getConnections(self):
        return self.connectedTo.keys()

    def getWeight(self,nbr):
        return self.connectedTo[nbr]

    def __str__(self):
        return str(self.id) + ' connectedTo: ' + str([x.id for x in self.connectedTo])

    def getId(self):
        return self.id


class Graph:
    def __init__(self):
        self.vertList = {}
        self.costList={}
        self.numVertices = 0

    def addVertex(self,key):
        self.numVertices = self.numVertices + 1
        newVertex = Vertex(key)
        self.vertList[key] = newVertex
        return newVertex

    def getVertex(self,n):
        if n in self.vertList:
            return self.vertList[n]
        else:
            return None

    def __contains__(self,n):
        return n in self.vertList

    def addEdge(self,f,t,cost=0):
        if f not in self.vertList:
            nv = self.addVertex(f)
        if t not in self.vertList:
            nv = self.addVertex(t)
        self.vertList[f].addNeighbor(self.vertList[t], cost)

    def getVertices(self):
        return self.vertlist.keys()

    def __iter__(self):
        return iter(self.vertList.values())


class DFSGraph(Graph):
	def __init__(self):
		super().__init__()
		self.time = 0

	def dfs(self):
		for aVertex in self:
			aVertex.setColor('white')
			aVertex.setPred(-1)
		for aVertex in self:
			if aVertex.getColor() == 'white':
				self.dfsvisit(aVertex)

	def dfsvisit(self,startVertex):

		for aVertex in self:
			aVertex.setColor('white')
			aVertex.setPred(-1)

		startVertex.setColor('gray')
		self.time += 1
		startVertex.setDiscovery(self.time)
		for nextVertex in startVertex.getConnections():
			if nextVertex.getColor() == 'white':
				nextVertex.setPred(startVertex)
				self.dfsvisit(nextVertex)
		startVertex.setColor('black')
		self.time += 1
		startVertex.setFinish(self.time)

Python: 
#graphの頂点vertex(インデックス、0オリジン)を深さ優先探索。dis_time:最初に訪れた時のtimeを管理するリスト
#fin_time:その頂点に対して、探索が終わった時のtimeを管理するリスト　tmp_time:現在のtime(関数内で変更できるようにリスト)
def DPS(graph,vertex,dis_time,fin_time,tmp_time):
    dis_time[vertex]=tmp_time[0]
    for i in range(len(graph[0])):
        if(graph[vertex][i] !=0 and dis_time[i]==0):#枝先の頂点が探索済みでなかったら、
            tmp_time[0]+=1
            DPS(graph,i,dis_time,fin_time,tmp_time)
    
    if(dis_time[vertex]==tmp_time[0]):#vertexから、どの頂点に対しても調査が進まなかったら
        tmp_time[0]+=1
    fin_time[vertex]=tmp_time[0]
    tmp_time[0]+=1



#グラフの作成
n=int(input())
graph=[[0]*n for loop in range(n)]
for loop in range(n):
    tmp_ope=list(map(int,input().split()))
    for j in range(tmp_ope[1]):
        graph[tmp_ope[0]-1][tmp_ope[j+2]-1]=1

dis_time=[0]*n
fin_time=[0]*n
tmp_time=[1]
DPS(graph,0,dis_time,fin_time,tmp_time)

for i in range(n):
    print(f"{i+1} {dis_time[i]} {fin_time[i]}")

Python: def DFS(s, t):
    t += 1
    flag[s] = 1
    d[s] = t
    for i in range(1, n+1):
        if G[s][i] == 1:
            if flag[i] == 0:
                DFS(i, t)
                t = f[i]
    f[s] = t + 1

n = int(raw_input())
G = [[0 for i in range(n+1)] for j in range(n+1)]
d = [0 for i in range(n+1)]
f = [0 for i in range(n+1)]

for i in range(n):
    v = map(int, raw_input().split())
    for j in range(v[1]):
        G[v[0]][v[2+j]] = 1

flag = [0 for i in range(n+1)]
for i in range(1, n+1):
    if flag[i] == 0:
        DFS(i, max(f))

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

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

def visit(u):
    color[u] = GRAY
    d[u] += t
    t += 1
    for v in range(n):
        if (M[u-1][v-1] == 0):
            continue
        if (color[v] == WHITE):
            visit(v)
    color[u] = BLACK
    f[u] = t
    t += 1

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

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