# http://judge.u-aizu.ac.jp/onlinejudge/review.jsp?rid=4647653#1



import sys
sys.setrecursionlimit(10 ** 8)
input = sys.stdin.readline

class Graph:
    def __init__(self, n, dictated=False, decrement=True, edge=[]):
        self.n = n
        self.dictated = dictated
        self.decrement = decrement
        self.edge = [set() for _ in range(self.n)]
        self.parent = [-1]*self.n
        self.info = [-1]*self.n
        for x, y in edge:
            self.add_edge(x,y)

    def add_edge(self,x,y):
        if self.decrement:
            x -= 1
            y -= 1
        self.edge[x].add(y)
        if self.dictated == False:
            self.edge[y].add(x)

    def add_adjacent_list(self,i,adjacent_list):
        if self.decrement:
            self.edge[i] = set(map(lambda x:x-1, adjacent_list))
        else:
            self.edge[i] = set(adjacent_list)

    def path_detector(self, start=0, time=0):
        """
        :param p: スタート地点
        :return: 各点までの距離と何番目に発見したかを返す
        """

        edge2= []
        for i in range(self.n):
            edge2.append(sorted(self.edge[i], reverse=True))

        p, t = start, time
        self.parent[p] = -2
        full_path = [(p + self.decrement,t)]
        while True:
            if edge2[p]:
                q = edge2[p].pop()
                if q == self.parent[p] and not self.dictated:
                    """ 逆流した時の処理 """
                    """"""""""""""""""""
                    continue
                if self.parent[q] != -1:
                    """ サイクルで同一点を訪れた時の処理 """
                    """"""""""""""""""""
                    continue
                self.parent[q] = p
                p, t = q, t + 1
                full_path.append((p + self.decrement, t))
            else:
                """ 探索完了時の処理 """
                full_path.append((p + self.decrement, t))
                """"""""""""""""""""
                if p == start and t == time:
                    break
                p, t = self.parent[p], t-1
                """ 二度目に訪問時の処理 """
                """"""""""""""""""""
        return full_path

    def path_list(self):
        """
        :return: 探索経路を返す。
        """
        self.parent = [-1]*self.n
        res = []
        for p in range(self.n):
            if self.parent[p] == -1:
                res.append(self.path_detector(start=p, time=1))
        return res

    def draw(self):
        """
        :return: グラフを可視化
        """
        import matplotlib.pyplot as plt
        import networkx as nx

        if self.dictated:
            G = nx.DiGraph()
        else:
            G = nx.Graph()
        for x in range(self.n):
            for y in self.edge[x]:
                G.add_edge(x + self.decrement, y + self.decrement)
        nx.draw_networkx(G)
        plt.show()

def make_graph(dictated=False, decrement=True):
    """
    自己ループの無いグラフを生成。N>=2
    :param dictated: True = 有効グラフ
    :param decrement: True = 1-indexed
    :return:
    """
    import random
    N = random.randint(2, 5)
    if N > 2:
        M_max = (3*N-6)*(1+dictated)
    else:
        M_max = 1
    graph = Graph(N, dictated, decrement)
    for _ in range(random.randint(0,M_max)):
        graph.add_edge(*random.sample(range(decrement, N+decrement), 2))
    return graph

##################################################################
# 入力が隣接リストの場合
##################################################################

N = int(input())  # 頂点数

graph = Graph(N,dictated=True, decrement=True)

for i in range(N):  # [[頂点1と連結している頂点の集合], [頂点2と連結している頂点の集合],...]
    points = list(map(int, input().split()))[2:]
    graph.add_adjacent_list(i, points)


data = graph.path_list()

from itertools import chain
data = list(chain.from_iterable(data))

res = [[i+1,0,0] for i in range(N)]
for time, a in enumerate(data, start=1):
    i = a[0] - 1
    if res[i][1]:
        res[i][2] = time
    else:
        res[i][1] = time

for a in res:
    print(*a) import sys sys sys.setrecursionlimit(10 ** 8) sys.setrecursionlimit sys setrecursionlimit 10 ** 8 10 8 input = sys.stdin.readline input sys.stdin.readline sys.stdin sys stdin readline class Graph:
    def __init__(self, n, dictated=False, decrement=True, edge=[]):
        self.n = n
        self.dictated = dictated
        self.decrement = decrement
        self.edge = [set() for _ in range(self.n)]
        self.parent = [-1]*self.n
        self.info = [-1]*self.n
        for x, y in edge:
            self.add_edge(x,y)

    def add_edge(self,x,y):
        if self.decrement:
            x -= 1
            y -= 1
        self.edge[x].add(y)
        if self.dictated == False:
            self.edge[y].add(x)

    def add_adjacent_list(self,i,adjacent_list):
        if self.decrement:
            self.edge[i] = set(map(lambda x:x-1, adjacent_list))
        else:
            self.edge[i] = set(adjacent_list)

    def path_detector(self, start=0, time=0):
        """
        :param p: スタート地点
        :return: 各点までの距離と何番目に発見したかを返す
        """

        edge2= []
        for i in range(self.n):
            edge2.append(sorted(self.edge[i], reverse=True))

        p, t = start, time
        self.parent[p] = -2
        full_path = [(p + self.decrement,t)]
        while True:
            if edge2[p]:
                q = edge2[p].pop()
                if q == self.parent[p] and not self.dictated:
                    """ 逆流した時の処理 """
                    """"""""""""""""""""
                    continue
                if self.parent[q] != -1:
                    """ サイクルで同一点を訪れた時の処理 """
                    """"""""""""""""""""
                    continue
                self.parent[q] = p
                p, t = q, t + 1
                full_path.append((p + self.decrement, t))
            else:
                """ 探索完了時の処理 """
                full_path.append((p + self.decrement, t))
                """"""""""""""""""""
                if p == start and t == time:
                    break
                p, t = self.parent[p], t-1
                """ 二度目に訪問時の処理 """
                """"""""""""""""""""
        return full_path

    def path_list(self):
        """
        :return: 探索経路を返す。
        """
        self.parent = [-1]*self.n
        res = []
        for p in range(self.n):
            if self.parent[p] == -1:
                res.append(self.path_detector(start=p, time=1))
        return res

    def draw(self):
        """
        :return: グラフを可視化
        """
        import matplotlib.pyplot as plt
        import networkx as nx

        if self.dictated:
            G = nx.DiGraph()
        else:
            G = nx.Graph()
        for x in range(self.n):
            for y in self.edge[x]:
                G.add_edge(x + self.decrement, y + self.decrement)
        nx.draw_networkx(G)
        plt.show() Graph def __init__(self, n, dictated=False, decrement=True, edge=[]):
        self.n = n
        self.dictated = dictated
        self.decrement = decrement
        self.edge = [set() for _ in range(self.n)]
        self.parent = [-1]*self.n
        self.info = [-1]*self.n
        for x, y in edge:
            self.add_edge(x,y)

     __init__ self.n = n self.n self n n self.dictated = dictated self.dictated self dictated dictated self.decrement = decrement self.decrement self decrement decrement set() for _ in range(self.n) for _ in range(self.n) _ range(self.n) range self.n self n for _ in range(self.n) set() set self.edge = [set() for _ in range(self.n)] self.edge self edge [set() for _ in range(self.n)] self.parent = [-1]*self.n self.parent self parent [-1]*self.n [-1] -1 self.n self n self.info = [-1]*self.n self.info self info [-1]*self.n [-1] -1 self.n self n for x, y in edge:
            self.add_edge(x,y)

     x y edge self.add_edge(x,y) self.add_edge self add_edge x y self self n n dictated=False dictated False decrement=True decrement True edge=[] edge [] def add_edge(self,x,y):
        if self.decrement:
            x -= 1
            y -= 1
        self.edge[x].add(y)
        if self.dictated == False:
            self.edge[y].add(x)

     add_edge if self.decrement:
            x -= 1
            y -= 1
         self.decrement self decrement x -= 1 x 1 y -= 1 y 1 self.edge[x].add(y) self.edge[x].add self.edge[x] self.edge self edge x add y if self.dictated == False:
            self.edge[y].add(x)

     self.dictated == False self.dictated self dictated False self.edge[y].add(x) self.edge[y].add self.edge[y] self.edge self edge y add x self self x x y y def add_adjacent_list(self,i,adjacent_list):
        if self.decrement:
            self.edge[i] = set(map(lambda x:x-1, adjacent_list))
        else:
            self.edge[i] = set(adjacent_list)

     add_adjacent_list if self.decrement:
            self.edge[i] = set(map(lambda x:x-1, adjacent_list))
        else:
            self.edge[i] = set(adjacent_list)

     self.decrement self decrement self.edge[i] = set(map(lambda x:x-1, adjacent_list)) self.edge[i] self.edge self edge i set(map(lambda x:x-1, adjacent_list)) set map(lambda x:x-1, adjacent_list) map lambda x:x-1 x-1 x 1 x adjacent_list self.edge[i] = set(adjacent_list) self.edge[i] self.edge self edge i set(adjacent_list) set adjacent_list self self i i adjacent_list adjacent_list def path_detector(self, start=0, time=0):
        """
        :param p: スタート地点
        :return: 各点までの距離と何番目に発見したかを返す
        """

        edge2= []
        for i in range(self.n):
            edge2.append(sorted(self.edge[i], reverse=True))

        p, t = start, time
        self.parent[p] = -2
        full_path = [(p + self.decrement,t)]
        while True:
            if edge2[p]:
                q = edge2[p].pop()
                if q == self.parent[p] and not self.dictated:
                    """ 逆流した時の処理 """
                    """"""""""""""""""""
                    continue
                if self.parent[q] != -1:
                    """ サイクルで同一点を訪れた時の処理 """
                    """"""""""""""""""""
                    continue
                self.parent[q] = p
                p, t = q, t + 1
                full_path.append((p + self.decrement, t))
            else:
                """ 探索完了時の処理 """
                full_path.append((p + self.decrement, t))
                """"""""""""""""""""
                if p == start and t == time:
                    break
                p, t = self.parent[p], t-1
                """ 二度目に訪問時の処理 """
                """"""""""""""""""""
        return full_path

     path_detector """
        :param p: スタート地点
        :return: 各点までの距離と何番目に発見したかを返す
        """ edge2= [] edge2 [] for i in range(self.n):
            edge2.append(sorted(self.edge[i], reverse=True))

         i range(self.n) range self.n self n edge2.append(sorted(self.edge[i], reverse=True)) edge2.append edge2 append sorted(self.edge[i], reverse=True) sorted self.edge[i] self.edge self edge i reverse=True reverse True p, t = start, time p start t time self.parent[p] = -2 self.parent[p] self.parent self parent p -2 full_path = [(p + self.decrement,t)] full_path [(p + self.decrement,t)] (p + self.decrement,t) p + self.decrement p self.decrement self decrement t while True:
            if edge2[p]:
                q = edge2[p].pop()
                if q == self.parent[p] and not self.dictated:
                    """ 逆流した時の処理 """
                    """"""""""""""""""""
                    continue
                if self.parent[q] != -1:
                    """ サイクルで同一点を訪れた時の処理 """
                    """"""""""""""""""""
                    continue
                self.parent[q] = p
                p, t = q, t + 1
                full_path.append((p + self.decrement, t))
            else:
                """ 探索完了時の処理 """
                full_path.append((p + self.decrement, t))
                """"""""""""""""""""
                if p == start and t == time:
                    break
                p, t = self.parent[p], t-1
                """ 二度目に訪問時の処理 """
                """"""""""""""""""""
         True if edge2[p]:
                q = edge2[p].pop()
                if q == self.parent[p] and not self.dictated:
                    """ 逆流した時の処理 """
                    """"""""""""""""""""
                    continue
                if self.parent[q] != -1:
                    """ サイクルで同一点を訪れた時の処理 """
                    """"""""""""""""""""
                    continue
                self.parent[q] = p
                p, t = q, t + 1
                full_path.append((p + self.decrement, t))
            else:
                """ 探索完了時の処理 """
                full_path.append((p + self.decrement, t))
                """"""""""""""""""""
                if p == start and t == time:
                    break
                p, t = self.parent[p], t-1
                """ 二度目に訪問時の処理 """
                """"""""""""""""""""
         edge2[p] edge2 p q = edge2[p].pop() q edge2[p].pop() [p].pop [p] edge2 p pop if q == self.parent[p] and not self.dictated:
                    """ 逆流した時の処理 """
                    """"""""""""""""""""
                    continue
                 q == self.parent[p] and not self.dictated q == self.parent[p] q self.parent[p] self.parent self parent p not self.dictated self.dictated self dictated """ 逆流した時の処理 """ """""""""""""""""""" continue if self.parent[q] != -1:
                    """ サイクルで同一点を訪れた時の処理 """
                    """"""""""""""""""""
                    continue
                 self.parent[q] != -1 self.parent[q] self.parent self parent q -1 """ サイクルで同一点を訪れた時の処理 """ """""""""""""""""""" continue self.parent[q] = p self.parent[q] self.parent self parent q p p, t = q, t + 1 p q t t + 1 t 1 full_path.append((p + self.decrement, t)) full_path.append full_path append (p + self.decrement, t) p + self.decrement p self.decrement self decrement t """ 探索完了時の処理 """ full_path.append((p + self.decrement, t)) full_path.append full_path append (p + self.decrement, t) p + self.decrement p self.decrement self decrement t """""""""""""""""""" if p == start and t == time:
                    break
                 p == start and t == time p == start p start t == time t time break p, t = self.parent[p], t-1 p self.parent[p] self.parent self parent p t t-1 t 1 """ 二度目に訪問時の処理 """ """""""""""""""""""" return full_path full_path self self start=0 start 0 time=0 time 0 def path_list(self):
        """
        :return: 探索経路を返す。
        """
        self.parent = [-1]*self.n
        res = []
        for p in range(self.n):
            if self.parent[p] == -1:
                res.append(self.path_detector(start=p, time=1))
        return res

     path_list """
        :return: 探索経路を返す。
        """ self.parent = [-1]*self.n self.parent self parent [-1]*self.n [-1] -1 self.n self n res = [] res [] for p in range(self.n):
            if self.parent[p] == -1:
                res.append(self.path_detector(start=p, time=1))
         p range(self.n) range self.n self n if self.parent[p] == -1:
                res.append(self.path_detector(start=p, time=1))
         self.parent[p] == -1 self.parent[p] self.parent self parent p -1 res.append(self.path_detector(start=p, time=1)) res.append res append self.path_detector(start=p, time=1) self.path_detector self path_detector start=p start p time=1 time 1 return res res self self def draw(self):
        """
        :return: グラフを可視化
        """
        import matplotlib.pyplot as plt
        import networkx as nx

        if self.dictated:
            G = nx.DiGraph()
        else:
            G = nx.Graph()
        for x in range(self.n):
            for y in self.edge[x]:
                G.add_edge(x + self.decrement, y + self.decrement)
        nx.draw_networkx(G)
        plt.show() draw """
        :return: グラフを可視化
        """ import matplotlib.pyplot as plt matplotlib.pyplot import networkx as nx networkx if self.dictated:
            G = nx.DiGraph()
        else:
            G = nx.Graph()
         self.dictated self dictated G = nx.DiGraph() G nx.DiGraph() nx.DiGraph nx DiGraph G = nx.Graph() G nx.Graph() nx.Graph nx Graph for x in range(self.n):
            for y in self.edge[x]:
                G.add_edge(x + self.decrement, y + self.decrement)
         x range(self.n) range self.n self n for y in self.edge[x]:
                G.add_edge(x + self.decrement, y + self.decrement)
         y self.edge[x] self.edge self edge x G.add_edge(x + self.decrement, y + self.decrement) G.add_edge G add_edge x + self.decrement x self.decrement self decrement y + self.decrement y self.decrement self decrement nx.draw_networkx(G) nx.draw_networkx nx draw_networkx G plt.show() plt.show plt show self self def make_graph(dictated=False, decrement=True):
    """
    自己ループの無いグラフを生成。N>=2
    :param dictated: True = 有効グラフ
    :param decrement: True = 1-indexed
    :return:
    """
    import random
    N = random.randint(2, 5)
    if N > 2:
        M_max = (3*N-6)*(1+dictated)
    else:
        M_max = 1
    graph = Graph(N, dictated, decrement)
    for _ in range(random.randint(0,M_max)):
        graph.add_edge(*random.sample(range(decrement, N+decrement), 2))
    return graph

##################################################################
# 入力が隣接リストの場合
################################################################## make_graph """
    自己ループの無いグラフを生成。N>=2
    :param dictated: True = 有効グラフ
    :param decrement: True = 1-indexed
    :return:
    """ import random random N = random.randint(2, 5) N random.randint(2, 5) random.randint random randint 2 5 if N > 2:
        M_max = (3*N-6)*(1+dictated)
    else:
        M_max = 1
     N > 2 N 2 M_max = (3*N-6)*(1+dictated) M_max (3*N-6)*(1+dictated) 3*N-6 3*N 3 N 6 1+dictated 1 dictated M_max = 1 M_max 1 graph = Graph(N, dictated, decrement) graph Graph(N, dictated, decrement) Graph N dictated decrement for _ in range(random.randint(0,M_max)):
        graph.add_edge(*random.sample(range(decrement, N+decrement), 2))
     _ range(random.randint(0,M_max)) range random.randint(0,M_max) random.randint random randint 0 M_max graph.add_edge(*random.sample(range(decrement, N+decrement), 2)) graph.add_edge graph add_edge *random.sample(range(decrement, N+decrement), 2) random.sample(range(decrement, N+decrement), 2) random.sample random sample range(decrement, N+decrement) range decrement N+decrement N decrement 2 return graph graph dictated=False dictated False decrement=True decrement True N = int(input()) N int(input()) int input() input graph = Graph(N,dictated=True, decrement=True) graph Graph(N,dictated=True, decrement=True) Graph N dictated=True dictated True decrement=True decrement True for i in range(N):  # [[頂点1と連結している頂点の集合], [頂点2と連結している頂点の集合],...]
    points = list(map(int, input().split()))[2:]
    graph.add_adjacent_list(i, points) i range(N) range N points = list(map(int, input().split()))[2:] points list(map(int, input().split()))[2:] (map(int, input().split())) list map(int, input().split()) map int input().split() ().split () input split 2: 2 graph.add_adjacent_list(i, points) graph.add_adjacent_list graph add_adjacent_list i points data = graph.path_list() data graph.path_list() graph.path_list graph path_list from itertools import chain data = list(chain.from_iterable(data)) data list(chain.from_iterable(data)) list chain.from_iterable(data) chain.from_iterable chain from_iterable data [i+1,0,0] for i in range(N) for i in range(N) i range(N) range N for i in range(N) [i+1,0,0] i+1 i 1 0 0 res = [[i+1,0,0] for i in range(N)] res [[i+1,0,0] for i in range(N)] for time, a in enumerate(data, start=1):
    i = a[0] - 1
    if res[i][1]:
        res[i][2] = time
    else:
        res[i][1] = time time a enumerate(data, start=1) enumerate data start=1 start 1 i = a[0] - 1 i a[0] - 1 a[0] a 0 1 if res[i][1]:
        res[i][2] = time
    else:
        res[i][1] = time res[i][1] [i] res i 1 res[i][2] = time res[i][2] [i] res i 2 time res[i][1] = time res[i][1] [i] res i 1 time for a in res:
    print(*a) a res print(*a) print *a a class Graph:
    def __init__(self, n, dictated=False, decrement=True, edge=[]):
        self.n = n
        self.dictated = dictated
        self.decrement = decrement
        self.edge = [set() for _ in range(self.n)]
        self.parent = [-1]*self.n
        self.info = [-1]*self.n
        for x, y in edge:
            self.add_edge(x,y)

    def add_edge(self,x,y):
        if self.decrement:
            x -= 1
            y -= 1
        self.edge[x].add(y)
        if self.dictated == False:
            self.edge[y].add(x)

    def add_adjacent_list(self,i,adjacent_list):
        if self.decrement:
            self.edge[i] = set(map(lambda x:x-1, adjacent_list))
        else:
            self.edge[i] = set(adjacent_list)

    def path_detector(self, start=0, time=0):
        """
        :param p: スタート地点
        :return: 各点までの距離と何番目に発見したかを返す
        """

        edge2= []
        for i in range(self.n):
            edge2.append(sorted(self.edge[i], reverse=True))

        p, t = start, time
        self.parent[p] = -2
        full_path = [(p + self.decrement,t)]
        while True:
            if edge2[p]:
                q = edge2[p].pop()
                if q == self.parent[p] and not self.dictated:
                    """ 逆流した時の処理 """
                    """"""""""""""""""""
                    continue
                if self.parent[q] != -1:
                    """ サイクルで同一点を訪れた時の処理 """
                    """"""""""""""""""""
                    continue
                self.parent[q] = p
                p, t = q, t + 1
                full_path.append((p + self.decrement, t))
            else:
                """ 探索完了時の処理 """
                full_path.append((p + self.decrement, t))
                """"""""""""""""""""
                if p == start and t == time:
                    break
                p, t = self.parent[p], t-1
                """ 二度目に訪問時の処理 """
                """"""""""""""""""""
        return full_path

    def path_list(self):
        """
        :return: 探索経路を返す。
        """
        self.parent = [-1]*self.n
        res = []
        for p in range(self.n):
            if self.parent[p] == -1:
                res.append(self.path_detector(start=p, time=1))
        return res

    def draw(self):
        """
        :return: グラフを可視化
        """
        import matplotlib.pyplot as plt
        import networkx as nx

        if self.dictated:
            G = nx.DiGraph()
        else:
            G = nx.Graph()
        for x in range(self.n):
            for y in self.edge[x]:
                G.add_edge(x + self.decrement, y + self.decrement)
        nx.draw_networkx(G)
        plt.show() class Graph:
    def __init__(self, n, dictated=False, decrement=True, edge=[]):
        self.n = n
        self.dictated = dictated
        self.decrement = decrement
        self.edge = [set() for _ in range(self.n)]
        self.parent = [-1]*self.n
        self.info = [-1]*self.n
        for x, y in edge:
            self.add_edge(x,y)

    def add_edge(self,x,y):
        if self.decrement:
            x -= 1
            y -= 1
        self.edge[x].add(y)
        if self.dictated == False:
            self.edge[y].add(x)

    def add_adjacent_list(self,i,adjacent_list):
        if self.decrement:
            self.edge[i] = set(map(lambda x:x-1, adjacent_list))
        else:
            self.edge[i] = set(adjacent_list)

    def path_detector(self, start=0, time=0):
        """
        :param p: スタート地点
        :return: 各点までの距離と何番目に発見したかを返す
        """

        edge2= []
        for i in range(self.n):
            edge2.append(sorted(self.edge[i], reverse=True))

        p, t = start, time
        self.parent[p] = -2
        full_path = [(p + self.decrement,t)]
        while True:
            if edge2[p]:
                q = edge2[p].pop()
                if q == self.parent[p] and not self.dictated:
                    """ 逆流した時の処理 """
                    """"""""""""""""""""
                    continue
                if self.parent[q] != -1:
                    """ サイクルで同一点を訪れた時の処理 """
                    """"""""""""""""""""
                    continue
                self.parent[q] = p
                p, t = q, t + 1
                full_path.append((p + self.decrement, t))
            else:
                """ 探索完了時の処理 """
                full_path.append((p + self.decrement, t))
                """"""""""""""""""""
                if p == start and t == time:
                    break
                p, t = self.parent[p], t-1
                """ 二度目に訪問時の処理 """
                """"""""""""""""""""
        return full_path

    def path_list(self):
        """
        :return: 探索経路を返す。
        """
        self.parent = [-1]*self.n
        res = []
        for p in range(self.n):
            if self.parent[p] == -1:
                res.append(self.path_detector(start=p, time=1))
        return res

    def draw(self):
        """
        :return: グラフを可視化
        """
        import matplotlib.pyplot as plt
        import networkx as nx

        if self.dictated:
            G = nx.DiGraph()
        else:
            G = nx.Graph()
        for x in range(self.n):
            for y in self.edge[x]:
                G.add_edge(x + self.decrement, y + self.decrement)
        nx.draw_networkx(G)
        plt.show() Graph data = list(chain.from_iterable(data)) list(chain.from_iterable(data)) data res = [[i+1,0,0] for i in range(N)] [[i+1,0,0] for i in range(N)] res i = a[0] - 1 a[0] - 1 i input = sys.stdin.readline sys.stdin.readline input N = int(input()) int(input()) N points = list(map(int, input().split()))[2:] list(map(int, input().split()))[2:] points graph = Graph(N,dictated=True, decrement=True) Graph(N,dictated=True, decrement=True) graph def make_graph(dictated=False, decrement=True):
    """
    自己ループの無いグラフを生成。N>=2
    :param dictated: True = 有効グラフ
    :param decrement: True = 1-indexed
    :return:
    """
    import random
    N = random.randint(2, 5)
    if N > 2:
        M_max = (3*N-6)*(1+dictated)
    else:
        M_max = 1
    graph = Graph(N, dictated, decrement)
    for _ in range(random.randint(0,M_max)):
        graph.add_edge(*random.sample(range(decrement, N+decrement), 2))
    return graph

##################################################################
# 入力が隣接リストの場合
################################################################## def make_graph(dictated=False, decrement=True):
    """
    自己ループの無いグラフを生成。N>=2
    :param dictated: True = 有効グラフ
    :param decrement: True = 1-indexed
    :return:
    """
    import random
    N = random.randint(2, 5)
    if N > 2:
        M_max = (3*N-6)*(1+dictated)
    else:
        M_max = 1
    graph = Graph(N, dictated, decrement)
    for _ in range(random.randint(0,M_max)):
        graph.add_edge(*random.sample(range(decrement, N+decrement), 2))
    return graph

##################################################################
# 入力が隣接リストの場合
################################################################## make_graph data = graph.path_list() graph.path_list() data
# http://judge.u-aizu.ac.jp/onlinejudge/review.jsp?rid=4647653#1



import sys
sys.setrecursionlimit(10 ** 8)
input = sys.stdin.readline

class Graph:
    def __init__(self, n, dictated=False, decrement=True, edge=[]):
        self.n = n
        self.dictated = dictated
        self.decrement = decrement
        self.edge = [set() for _ in range(self.n)]
        self.parent = [-1]*self.n
        self.info = [-1]*self.n
        for x, y in edge:
            self.add_edge(x,y)

    def add_edge(self,x,y):
        if self.decrement:
            x -= 1
            y -= 1
        self.edge[x].add(y)
        if self.dictated == False:
            self.edge[y].add(x)

    def add_adjacent_list(self,i,adjacent_list):
        if self.decrement:
            self.edge[i] = set(map(lambda x:x-1, adjacent_list))
        else:
            self.edge[i] = set(adjacent_list)

    def path_detector(self, start=0, time=0):
        """
        :param p: スタート地点
        :return: 各点までの距離と何番目に発見したかを返す
        """

        edge2= []
        for i in range(self.n):
            edge2.append(sorted(self.edge[i], reverse=True))

        p, t = start, time
        self.parent[p] = -2
        full_path = [(p + self.decrement,t)]
        while True:
            if edge2[p]:
                q = edge2[p].pop()
                if q == self.parent[p] and not self.dictated:
                    """ 逆流した時の処理 """
                    """"""""""""""""""""
                    continue
                if self.parent[q] != -1:
                    """ サイクルで同一点を訪れた時の処理 """
                    """"""""""""""""""""
                    continue
                self.parent[q] = p
                p, t = q, t + 1
                full_path.append((p + self.decrement, t))
            else:
                """ 探索完了時の処理 """
                full_path.append((p + self.decrement, t))
                """"""""""""""""""""
                if p == start and t == time:
                    break
                p, t = self.parent[p], t-1
                """ 二度目に訪問時の処理 """
                """"""""""""""""""""
        return full_path

    def path_list(self):
        """
        :return: 探索経路を返す。
        """
        self.parent = [-1]*self.n
        res = []
        for p in range(self.n):
            if self.parent[p] == -1:
                res.append(self.path_detector(start=p, time=1))
        return res

    def draw(self):
        """
        :return: グラフを可視化
        """
        import matplotlib.pyplot as plt
        import networkx as nx

        if self.dictated:
            G = nx.DiGraph()
        else:
            G = nx.Graph()
        for x in range(self.n):
            for y in self.edge[x]:
                G.add_edge(x + self.decrement, y + self.decrement)
        nx.draw_networkx(G)
        plt.show()

def make_graph(dictated=False, decrement=True):
    """
    自己ループの無いグラフを生成。N>=2
    :param dictated: True = 有効グラフ
    :param decrement: True = 1-indexed
    :return:
    """
    import random
    N = random.randint(2, 5)
    if N > 2:
        M_max = (3*N-6)*(1+dictated)
    else:
        M_max = 1
    graph = Graph(N, dictated, decrement)
    for _ in range(random.randint(0,M_max)):
        graph.add_edge(*random.sample(range(decrement, N+decrement), 2))
    return graph

##################################################################
# 入力が隣接リストの場合
##################################################################

N = int(input())  # 頂点数

graph = Graph(N,dictated=True, decrement=True)

for i in range(N):  # [[頂点1と連結している頂点の集合], [頂点2と連結している頂点の集合],...]
    points = list(map(int, input().split()))[2:]
    graph.add_adjacent_list(i, points)


data = graph.path_list()

from itertools import chain
data = list(chain.from_iterable(data))

res = [[i+1,0,0] for i in range(N)]
for time, a in enumerate(data, start=1):
    i = a[0] - 1
    if res[i][1]:
        res[i][2] = time
    else:
        res[i][1] = time

for a in res:
    print(*a)
