### BUGGY CODE ###

import sys
input = sys.stdin.readline
sys.setrecursionlimit(1000000)

from collections import defaultdict
from collections import deque
import heapq

MOD = 998244353

def DD(arg): return defaultdict(arg)

def inv(n): return pow(n, MOD-2, MOD)

kaijo_memo = []
def kaijo(n):
  if(len(kaijo_memo) > n): return kaijo_memo[n]
  if(len(kaijo_memo) == 0): kaijo_memo.append(1)
  while(len(kaijo_memo) <= n): kaijo_memo.append(kaijo_memo[-1] * len(kaijo_memo) % MOD)
  return kaijo_memo[n]

gyaku_kaijo_memo = []
def gyaku_kaijo(n):
  if(len(gyaku_kaijo_memo) > n): return gyaku_kaijo_memo[n]
  if(len(gyaku_kaijo_memo) == 0): gyaku_kaijo_memo.append(1)
  while(len(gyaku_kaijo_memo) <= n): gyaku_kaijo_memo.append(gyaku_kaijo_memo[-1] * pow(len(gyaku_kaijo_memo),MOD-2,MOD) % MOD)
  return gyaku_kaijo_memo[n]

import numpy as np

def fft_convolve(f, g):
    """
    数列 (多項式) f, g の畳み込みの計算．上下 15 bitずつ分けて計算することで，
    30 bit以下の整数，長さ 250000 程度の数列での計算が正確に行える．
    """
    Lf, Lg = f.shape[-1], g.shape[-1]
    Lg = g.shape[-1]
    L = Lf + Lg - 1
    fft_len = 1 << L.bit_length()
    fh, fl = f >> 15, f & (1 << 15) - 1
    gh, gl = g >> 15, g & (1 << 15) - 1
 
    def conv(f, g):
        Ff = np.fft.rfft(f, fft_len)
        Fg = np.fft.rfft(g, fft_len)
        h = np.fft.irfft(Ff * Fg)
        return np.rint(h)[..., :L].astype(np.int64) % MOD
 
    x = conv(fl, gl)
    z = conv(fh, gh)
    y = conv(fl + fh, gl + gh) - x - z
    return (x + (y << 15) + (z << 30)) % MOD
  
N = int(input())

nokori = [1]
for n in range(1,2*N+10):
  nokori.append((nokori[-1]*(2*n-1)*(2*n)*inv(2)*inv(n))%MOD)

dic = DD(int)
for _ in range(N*2):
  dic[int(input())] += 1
A = [dic[k] for k in dic]
  
P = []
for a in A:
  temp = 1
  count = 0
  P.append([temp])
  while a >= 2:
    temp *= a*(a-1)//2
    temp %= MOD
    count += 1
    P[-1].append((temp*gyaku_kaijo(count))%MOD)
    a -= 2


data = [np.array(p) for p in P]
Q = []
for i in range(len(data)):
  heapq.heappush(Q,(len(data[i]),i))

while len(Q)>1:
  _,p = heapq.heappop(Q)
  _,q = heapq.heappop(Q)
  temp = fft_convolve(data[p], data[q])
  data.append(temp)
  heapq.heappush(Q,(len(temp),len(data)-1))
Q = list(data[-1])

ans = 0
M = len(Q)

def sign(x):
  if x%2: return -1
  else: return 1

for i in range(M):
  ans += sign(i) * Q[i] * nokori[N-i]
  ans %= MOD
  
print(ans)

### FIXED CODE ###

import sys
input = sys.stdin.readline
sys.setrecursionlimit(1000000)

from collections import defaultdict
from collections import deque
import heapq

MOD = 998244353

def DD(arg): return defaultdict(arg)

def inv(n): return pow(n, MOD-2, MOD)

kaijo_memo = []
def kaijo(n):
  if(len(kaijo_memo) > n): return kaijo_memo[n]
  if(len(kaijo_memo) == 0): kaijo_memo.append(1)
  while(len(kaijo_memo) <= n): kaijo_memo.append(kaijo_memo[-1] * len(kaijo_memo) % MOD)
  return kaijo_memo[n]

gyaku_kaijo_memo = []
def gyaku_kaijo(n):
  if(len(gyaku_kaijo_memo) > n): return gyaku_kaijo_memo[n]
  if(len(gyaku_kaijo_memo) == 0): gyaku_kaijo_memo.append(1)
  while(len(gyaku_kaijo_memo) <= n): gyaku_kaijo_memo.append(gyaku_kaijo_memo[-1] * pow(len(gyaku_kaijo_memo),MOD-2,MOD) % MOD)
  return gyaku_kaijo_memo[n]

ROOT = 3
MOD = 998244353
roots  = [pow(ROOT,(MOD-1)>>i,MOD) for i in range(24)] # 1 の 2^i 乗根
iroots = [pow(x,MOD-2,MOD) for x in roots] # 1 の 2^i 乗根の逆元
 
def untt(a,n):
    for i in range(n):
        m = 1<<(n-i-1)
        for s in range(1<<i):
            w_N = 1
            s *= m*2
            for p in range(m):
                a[s+p], a[s+p+m] = (a[s+p]+a[s+p+m])%MOD, (a[s+p]-a[s+p+m])*w_N%MOD
                w_N = w_N*roots[n-i]%MOD

def iuntt(a,n):
    for i in range(n):
        m = 1<<i
        for s in range(1<<(n-i-1)):
            w_N = 1
            s *= m*2
            for p in range(m):
                a[s+p], a[s+p+m] = (a[s+p]+a[s+p+m]*w_N)%MOD, (a[s+p]-a[s+p+m]*w_N)%MOD
                w_N = w_N*iroots[i+1]%MOD
            
    inv = pow((MOD+1)//2,n,MOD)
    for i in range(1<<n):
        a[i] = a[i]*inv%MOD

def convolution(a,b):
    la = len(a)
    lb = len(b)
    deg = la+lb-2
    n = deg.bit_length()
    if min(la, lb) <= 50:
        if la < lb:
            la,lb = lb,la
            a,b = b,a
        res = [0]*(la+lb-1)
        for i in range(la):
            for j in range(lb):
                res[i+j] += a[i]*b[j]
                res[i+j] %= MOD
        return res
 
    N = 1<<n
    a += [0]*(N-len(a))
    b += [0]*(N-len(b))
    untt(a,n)
    untt(b,n)
    for i in range(N):
      a[i] = a[i]*b[i]%MOD
    iuntt(a,n)
    return a[:deg+1]

N = int(input())

nokori = [1]
for n in range(1,2*N+10):
  nokori.append((nokori[-1]*(2*n-1)*(2*n)*inv(2)*inv(n))%MOD)

dic = DD(int)
for _ in range(N*2):
  dic[int(input())] += 1
A = [dic[k] for k in dic]
  
P = []
for a in A:
  temp = 1
  count = 0
  P.append([temp])
  while a >= 2:
    temp *= a*(a-1)//2
    temp %= MOD
    count += 1
    P[-1].append((temp*gyaku_kaijo(count))%MOD)
    a -= 2

Q = []
for i in range(len(P)):
  heapq.heappush(Q,(len(P[i]),i))

while len(Q)>1:
  _,p = heapq.heappop(Q)
  _,q = heapq.heappop(Q)
  temp = convolution(P[p], P[q])
  P.append(temp)
  heapq.heappush(Q,(len(temp),len(P)-1))
Q = list(P[-1])

ans = 0
M = len(Q)

def sign(x):
  if x%2: return -1
  else: return 1

for i in range(M):
  ans += sign(i) * Q[i] * nokori[N-i]
  ans %= MOD
  
print(ans)