Buggy python submission (verdict: Runtime Error):
import os
import sys
from heapq import heappop, heappush

import numpy as np


# https://github.com/atcoder/ac-library/blob/master/atcoder/convolution.hpp

def solve(inp):
    def ceil_pow2(n):
        x = 0
        while 1 << x < n:
            x += 1
        return x

    def bit_scan_forward(n):
        x = 0
        while n & 1 == 0:
            n >>= 1
            x += 1
        return x

    def pow_mod(x, n, m):
        r = 1
        y = x % m
        while n:
            if n & 1:
                r = (r * y) % m
            y = y * y % m
            n >>= 1
        return r

    def get_primitive_root(m):
        if m == 2: return 1
        if m == 167772161: return 3
        if m == 469762049: return 3
        if m == 754974721: return 11
        if m == 998244353: return 3
        divs = [2]
        x = (m - 1) // 2
        while x & 1 == 0:
            x >>= 1
        i = 3
        while i * i <= x:
            if x % i == 0:
                divs.append(i)
                x //= i
                while x % i == 0:
                    x //= i
            i += 2
        if x > 1:
            divs.append(x)
        g = 2
        while True:
            ok = True
            for d in divs:
                if pow_mod(g, (m - 1) // d, m) == 1:
                    ok = False
                    break
            if ok:
                return g

    def butterfly_prepare(mod, primitive_root):
        sum_e = np.zeros(30, np.int64)
        sum_ie = np.zeros(30, np.int64)
        es = np.zeros(30, np.int64)
        ies = np.zeros(30, np.int64)
        cnt2 = bit_scan_forward(mod - 1)
        e = pow_mod(primitive_root, (mod - 1) >> cnt2, mod)
        ie = pow_mod(e, mod - 2, mod)
        for i in range(cnt2, 1, -1):
            es[i - 2] = e
            ies[i - 2] = ie
            e = e * e % mod
            ie = ie * ie % mod
        now_e = 1
        now_ie = 1
        for i in range(cnt2 - 1):
            sum_e[i] = es[i] * now_e % mod
            sum_ie[i] = ies[i] * now_ie % mod
            now_e = now_e * ies[i] % mod
            now_ie = now_ie * es[i] % mod
        return sum_e, sum_ie

    def butterfly(aaa, mod, sum_e):
        n = aaa.size
        h = ceil_pow2(n)

        for ph in range(1, h + 1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            now = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p] * now % mod
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = (l - r) % mod
                now = now * sum_e[bit_scan_forward(~s)] % mod

    def butterfly_inv(aaa, mod, sum_ie):
        n = aaa.size
        h = ceil_pow2(n)

        for ph in range(h, 0, -1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            inow = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p]
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = ((l - r) * inow) % mod
                inow = inow * sum_ie[bit_scan_forward(~s)] % mod

    MOD = 998244353
    primitive_root = get_primitive_root(MOD)
    sum_e, sum_ie = butterfly_prepare(MOD, primitive_root)

    def convolution(aaa, bbb, MOD):
        n = aaa.size
        m = bbb.size
        z = 1 << ceil_pow2(n + m - 1)
        raaa = np.zeros(z, np.int64)
        rbbb = np.zeros(z, np.int64)
        raaa[:n] = aaa
        rbbb[:m] = bbb
        butterfly(raaa, MOD, sum_e)
        butterfly(rbbb, MOD, sum_e)
        ccc = raaa * rbbb % MOD
        butterfly_inv(ccc, MOD, sum_ie)
        iz = pow_mod(z, MOD - 2, MOD)
        result = ccc[:n + m - 1] * iz % MOD
        return result

    def mod_pow(x, a, MOD):
        ret = 1
        cur = x
        while a:
            if a & 1:
                ret = ret * cur % MOD
            cur = cur * cur % MOD
            a >>= 1
        return ret

    def precompute_factorials(n, MOD):
        factorials = np.ones(n + 1, dtype=np.int64)
        for m in range(2, n + 1):
            factorials[m] = factorials[m - 1] * m % MOD
        inversions = np.ones(n + 1, dtype=np.int64)
        inversions[n] = mod_pow(factorials[n], MOD - 2, MOD)
        for m in range(n, 2, -1):
            inversions[m - 1] = inversions[m] * m % MOD
        return factorials, inversions

    def counter(arr):
        cnt = {0: 0}
        for a in arr:
            if a in cnt:
                cnt[a] += 1
            else:
                cnt[a] = 1
        if cnt[0] == 0:
            del cnt[0]
        return cnt

    n = inp[0]
    hhh = inp[1:]
    hhh_cnt = counter(hhh)
    same_heights = []
    max_pair_cnt = 0
    max_same_height = 0
    for c in hhh_cnt.values():
        if c <= 1:
            continue
        max_pair_cnt += c // 2
        max_same_height = max(max_same_height, c)
        same_heights.append(c)

    pairs = np.zeros(n + 1, np.int64)
    pairs[0] = 1
    for i in range(1, n + 1):
        pairs[i] = pairs[i - 1] * (i * 2 - 1) % MOD

    facts, finvs = precompute_factorials(max_same_height, MOD)

    same_heights.sort()
    pc = -1
    cmbs = []
    q = []
    for i, c in enumerate(same_heights):
        if pc == c:
            cmb = cmbs[-1].copy()
        else:
            cmb = np.zeros(c // 2 + 1, np.int64)
            for j in range(c // 2 + 1):
                cmb[j] = facts[c] * finvs[j * 2] % MOD * finvs[c - j * 2] % MOD * pairs[j] % MOD
            pc = c
        cmbs.append(cmb)
        q.append((cmb.size, i))

    while len(q) > 1:
        _, i = heappop(q)
        _, j = heappop(q)
        cmbs[i] = convolution(cmbs[i], cmbs[j], MOD)
        heappush(q, (cmbs[i].size, i))

    result = cmbs[q[0][1]]

    ans = 0
    for i, v in enumerate(result):
        if i & 1:
            ans = (ans - v * pairs[n - i]) % MOD
        else:
            ans = (ans + v * pairs[n - i]) % MOD

    return ans


if sys.argv[-1] == 'ONLINE_JUDGE':
    from numba.pycc import CC

    cc = CC('my_module')
    cc.export('solve', '(i8[:],)')(solve)
    cc.compile()
    exit()

if os.name == 'posix':
    # noinspection PyUnresolvedReferences
    from my_module import solve
else:
    from numba import njit

    solve = njit('(i8[:],)', cache=True)(solve)
    print('compiled', file=sys.stderr)

inp = np.fromstring(sys.stdin.read(), dtype=np.int64, sep=' ')
ans = solve(inp)
print(ans)


Fixed submission:
import os
import sys
from heapq import heappop, heappush

import numpy as np


# https://github.com/atcoder/ac-library/blob/master/atcoder/convolution.hpp

def solve(inp):
    def ceil_pow2(n):
        x = 0
        while 1 << x < n:
            x += 1
        return x

    def bit_scan_forward(n):
        x = 0
        while n & 1 == 0:
            n >>= 1
            x += 1
        return x

    def pow_mod(x, n, m):
        r = 1
        y = x % m
        while n:
            if n & 1:
                r = (r * y) % m
            y = y * y % m
            n >>= 1
        return r

    def get_primitive_root(m):
        if m == 2: return 1
        if m == 167772161: return 3
        if m == 469762049: return 3
        if m == 754974721: return 11
        if m == 998244353: return 3
        divs = [2]
        x = (m - 1) // 2
        while x & 1 == 0:
            x >>= 1
        i = 3
        while i * i <= x:
            if x % i == 0:
                divs.append(i)
                x //= i
                while x % i == 0:
                    x //= i
            i += 2
        if x > 1:
            divs.append(x)
        g = 2
        while True:
            ok = True
            for d in divs:
                if pow_mod(g, (m - 1) // d, m) == 1:
                    ok = False
                    break
            if ok:
                return g

    def butterfly_prepare(mod, primitive_root):
        sum_e = np.zeros(30, np.int64)
        sum_ie = np.zeros(30, np.int64)
        es = np.zeros(30, np.int64)
        ies = np.zeros(30, np.int64)
        cnt2 = bit_scan_forward(mod - 1)
        e = pow_mod(primitive_root, (mod - 1) >> cnt2, mod)
        ie = pow_mod(e, mod - 2, mod)
        for i in range(cnt2, 1, -1):
            es[i - 2] = e
            ies[i - 2] = ie
            e = e * e % mod
            ie = ie * ie % mod
        now_e = 1
        now_ie = 1
        for i in range(cnt2 - 1):
            sum_e[i] = es[i] * now_e % mod
            sum_ie[i] = ies[i] * now_ie % mod
            now_e = now_e * ies[i] % mod
            now_ie = now_ie * es[i] % mod
        return sum_e, sum_ie

    def butterfly(aaa, mod, sum_e):
        n = aaa.size
        h = ceil_pow2(n)

        for ph in range(1, h + 1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            now = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p] * now % mod
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = (l - r) % mod
                now = now * sum_e[bit_scan_forward(~s)] % mod

    def butterfly_inv(aaa, mod, sum_ie):
        n = aaa.size
        h = ceil_pow2(n)

        for ph in range(h, 0, -1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            inow = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p]
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = ((l - r) * inow) % mod
                inow = inow * sum_ie[bit_scan_forward(~s)] % mod

    MOD = 998244353
    primitive_root = get_primitive_root(MOD)
    sum_e, sum_ie = butterfly_prepare(MOD, primitive_root)

    def convolution(aaa, bbb, MOD):
        n = aaa.size
        m = bbb.size
        z = 1 << ceil_pow2(n + m - 1)
        raaa = np.zeros(z, np.int64)
        rbbb = np.zeros(z, np.int64)
        raaa[:n] = aaa
        rbbb[:m] = bbb
        butterfly(raaa, MOD, sum_e)
        butterfly(rbbb, MOD, sum_e)
        ccc = raaa * rbbb % MOD
        butterfly_inv(ccc, MOD, sum_ie)
        iz = pow_mod(z, MOD - 2, MOD)
        result = ccc[:n + m - 1] * iz % MOD
        return result

    def mod_pow(x, a, MOD):
        ret = 1
        cur = x
        while a:
            if a & 1:
                ret = ret * cur % MOD
            cur = cur * cur % MOD
            a >>= 1
        return ret

    def precompute_factorials(n, MOD):
        factorials = np.ones(n + 1, dtype=np.int64)
        for m in range(2, n + 1):
            factorials[m] = factorials[m - 1] * m % MOD
        inversions = np.ones(n + 1, dtype=np.int64)
        inversions[n] = mod_pow(factorials[n], MOD - 2, MOD)
        for m in range(n, 2, -1):
            inversions[m - 1] = inversions[m] * m % MOD
        return factorials, inversions

    def counter(arr):
        cnt = {0: 0}
        for a in arr:
            if a in cnt:
                cnt[a] += 1
            else:
                cnt[a] = 1
        if cnt[0] == 0:
            del cnt[0]
        return cnt

    n = inp[0]
    hhh = inp[1:]
    hhh_cnt = counter(hhh)

    same_heights = []
    max_pair_cnt = 0
    max_same_height = 0
    for c in hhh_cnt.values():
        if c <= 1:
            continue
        max_pair_cnt += c // 2
        max_same_height = max(max_same_height, c)
        same_heights.append(c)

    pairs = np.zeros(n + 1, np.int64)
    pairs[0] = 1
    for i in range(1, n + 1):
        pairs[i] = pairs[i - 1] * (i * 2 - 1) % MOD

    facts, finvs = precompute_factorials(max_same_height, MOD)

    same_heights.sort()
    pc = -1
    cmbs = [np.ones(1, np.int64)]
    q = [(1, 0)]
    for i, c in enumerate(same_heights):
        if pc == c:
            cmb = cmbs[-1].copy()
        else:
            cmb = np.zeros(c // 2 + 1, np.int64)
            for j in range(c // 2 + 1):
                cmb[j] = facts[c] * finvs[j * 2] % MOD * finvs[c - j * 2] % MOD * pairs[j] % MOD
            pc = c
        cmbs.append(cmb)
        q.append((cmb.size, i + 1))

    while len(q) > 1:
        _, i = heappop(q)
        _, j = heappop(q)
        cmbs[i] = convolution(cmbs[i], cmbs[j], MOD)
        heappush(q, (cmbs[i].size, i))

    result = cmbs[q[0][1]]

    ans = 0
    for i, v in enumerate(result):
        if i & 1:
            ans = (ans - v * pairs[n - i]) % MOD
        else:
            ans = (ans + v * pairs[n - i]) % MOD

    return ans


if sys.argv[-1] == 'ONLINE_JUDGE':
    from numba.pycc import CC

    cc = CC('my_module')
    cc.export('solve', '(i8[:],)')(solve)
    cc.compile()
    exit()

if os.name == 'posix':
    # noinspection PyUnresolvedReferences
    from my_module import solve
else:
    from numba import njit

    solve = njit('(i8[:],)', cache=True)(solve)
    print('compiled', file=sys.stderr)

inp = np.fromstring(sys.stdin.read(), dtype=np.int64, sep=' ')
ans = solve(inp)
print(ans)

Buggy python submission (verdict: Time Limit Exceeded):
import os
import sys

import numpy as np


# https://github.com/atcoder/ac-library/blob/master/atcoder/convolution.hpp

def solve(inp):
    def bit_length(n):
        x = 0
        while 1 << x < n:
            x += 1
        return x

    def bit_scan_forward(n):
        x = 0
        while n & 1 == 0:
            n >>= 1
            x += 1
        return x

    def pow_mod(x, n, m):
        r = 1
        y = x % m
        while n:
            if n & 1:
                r = (r * y) % m
            y = y * y % m
            n >>= 1
        return r

    def get_primitive_root(m):
        if m == 2: return 1
        if m == 167772161: return 3
        if m == 469762049: return 3
        if m == 754974721: return 11
        if m == 998244353: return 3
        divs = [2]
        x = (m - 1) // 2
        while x & 1 == 0:
            x >>= 1
        i = 3
        while i * i <= x:
            if x % i == 0:
                divs.append(i)
                x //= i
                while x % i == 0:
                    x //= i
            i += 2
        if x > 1:
            divs.append(x)
        g = 2
        while True:
            ok = True
            for d in divs:
                if pow_mod(g, (m - 1) // d, m) == 1:
                    ok = False
                    break
            if ok:
                return g

    def butterfly_prepare(mod, primitive_root):
        sum_e = np.zeros(30, np.int64)
        sum_ie = np.zeros(30, np.int64)
        es = np.zeros(30, np.int64)
        ies = np.zeros(30, np.int64)
        cnt2 = bit_scan_forward(mod - 1)
        e = pow_mod(primitive_root, (mod - 1) >> cnt2, mod)
        ie = pow_mod(e, mod - 2, mod)
        for i in range(cnt2, 1, -1):
            es[i - 2] = e
            ies[i - 2] = ie
            e = e * e % mod
            ie = ie * ie % mod
        now_e = 1
        now_ie = 1
        for i in range(cnt2 - 1):
            sum_e[i] = es[i] * now_e % mod
            sum_ie[i] = ies[i] * now_ie % mod
            now_e = now_e * ies[i] % mod
            now_ie = now_ie * es[i] % mod
        return sum_e, sum_ie

    def butterfly(aaa, mod, sum_e):
        n = aaa.size
        h = bit_length(n)

        for ph in range(1, h + 1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            now = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p] * now % mod
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = (l - r) % mod
                now = now * sum_e[bit_scan_forward(~s)] % mod

    def butterfly_inv(aaa, mod, sum_ie):
        n = aaa.size
        h = bit_length(n)

        for ph in range(h, 0, -1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            inow = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p]
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = ((l - r) * inow) % mod
                inow = inow * sum_ie[bit_scan_forward(~s)] % mod

    def convolution(aaa, bbb, MOD):
        n = aaa.size
        m = bbb.size
        z = 1 << bit_length(n + m - 1)
        raaa = np.zeros(z, np.int64)
        rbbb = np.zeros(z, np.int64)
        raaa[:n] = aaa
        rbbb[:m] = bbb
        primitive_root = get_primitive_root(MOD)
        sum_e, sum_ie = butterfly_prepare(MOD, primitive_root)
        butterfly(raaa, MOD, sum_e)
        butterfly(rbbb, MOD, sum_e)
        ccc = raaa * rbbb % MOD
        butterfly_inv(ccc, MOD, sum_ie)
        iz = pow_mod(z, MOD - 2, MOD)
        result = ccc[:n + m - 1] * iz % MOD
        return result

    def mod_pow(x, a, MOD):
        ret = 1
        cur = x
        while a:
            if a & 1:
                ret = ret * cur % MOD
            cur = cur * cur % MOD
            a >>= 1
        return ret

    def precompute_factorials(n, MOD):
        factorials = np.ones(n + 1, dtype=np.int64)
        for m in range(2, n + 1):
            factorials[m] = factorials[m - 1] * m % MOD
        inversions = np.ones(n + 1, dtype=np.int64)
        inversions[n] = mod_pow(factorials[n], MOD - 2, MOD)
        for m in range(n, 2, -1):
            inversions[m - 1] = inversions[m] * m % MOD
        return factorials, inversions

    MOD = 998244353
    n = inp[0]
    hhh = inp[1:]
    cnt = {0: 0}
    for h in hhh:
        if h in cnt:
            cnt[h] += 1
        else:
            cnt[h] = 1

    same_heights = []
    max_pair = 0
    max_cnt = 0
    for c in cnt.values():
        if c <= 1:
            continue
        max_pair += c // 2
        max_cnt = max(max_cnt, c)
        same_heights.append(c)

    pairs = np.zeros(n + 1, np.int64)
    pairs[0] = 1
    for i in range(1, n + 1):
        pairs[i] = pairs[i - 1] * (i * 2 - 1) % MOD

    facts, finvs = precompute_factorials(max_cnt, MOD)

    z = 1 << bit_length(max_pair + 1)

    dp = np.zeros(z, np.int64)
    dp[0] = 1
    primitive_root = get_primitive_root(MOD)
    sum_e, sum_ie = butterfly_prepare(MOD, primitive_root)
    butterfly(dp, MOD, sum_e)
    cmb = np.zeros(z, np.int64)
    same_heights.sort()
    pc = -1

    for c in same_heights:
        if pc != c:
            cmb.fill(0)
            for j in range(c // 2 + 1):
                cmb[j] = facts[c] * finvs[j * 2] % MOD * finvs[c - j * 2] % MOD * pairs[j] % MOD
            butterfly(cmb, MOD, sum_e)
            pc = c
        dp *= cmb
        dp %= MOD

    butterfly_inv(dp, MOD, sum_ie)
    iz = pow_mod(z, MOD - 2, MOD)
    result = dp * iz % MOD

    ans = 0
    for i, v in enumerate(result):
        if i & 1:
            ans = (ans - v * pairs[n - i]) % MOD
        else:
            ans = (ans + v * pairs[n - i]) % MOD

    return ans


if sys.argv[-1] == 'ONLINE_JUDGE':
    from numba.pycc import CC

    cc = CC('my_module')
    cc.export('solve', '(i8[:],)')(solve)
    cc.compile()
    exit()

if os.name == 'posix':
    # noinspection PyUnresolvedReferences
    from my_module import solve
else:
    from numba import njit

    solve = njit('(i8[:],)', cache=True)(solve)
    print('compiled', file=sys.stderr)

inp = np.fromstring(sys.stdin.read(), dtype=np.int64, sep=' ')
ans = solve(inp)
print(ans)


Fixed submission:
import os
import sys
from heapq import heappop, heappush

import numpy as np


# https://github.com/atcoder/ac-library/blob/master/atcoder/convolution.hpp

def solve(inp):
    def ceil_pow2(n):
        x = 0
        while 1 << x < n:
            x += 1
        return x

    def bit_scan_forward(n):
        x = 0
        while n & 1 == 0:
            n >>= 1
            x += 1
        return x

    def pow_mod(x, n, m):
        r = 1
        y = x % m
        while n:
            if n & 1:
                r = (r * y) % m
            y = y * y % m
            n >>= 1
        return r

    def get_primitive_root(m):
        if m == 2: return 1
        if m == 167772161: return 3
        if m == 469762049: return 3
        if m == 754974721: return 11
        if m == 998244353: return 3
        divs = [2]
        x = (m - 1) // 2
        while x & 1 == 0:
            x >>= 1
        i = 3
        while i * i <= x:
            if x % i == 0:
                divs.append(i)
                x //= i
                while x % i == 0:
                    x //= i
            i += 2
        if x > 1:
            divs.append(x)
        g = 2
        while True:
            ok = True
            for d in divs:
                if pow_mod(g, (m - 1) // d, m) == 1:
                    ok = False
                    break
            if ok:
                return g

    def butterfly_prepare(mod, primitive_root):
        sum_e = np.zeros(30, np.int64)
        sum_ie = np.zeros(30, np.int64)
        es = np.zeros(30, np.int64)
        ies = np.zeros(30, np.int64)
        cnt2 = bit_scan_forward(mod - 1)
        e = pow_mod(primitive_root, (mod - 1) >> cnt2, mod)
        ie = pow_mod(e, mod - 2, mod)
        for i in range(cnt2, 1, -1):
            es[i - 2] = e
            ies[i - 2] = ie
            e = e * e % mod
            ie = ie * ie % mod
        now_e = 1
        now_ie = 1
        for i in range(cnt2 - 1):
            sum_e[i] = es[i] * now_e % mod
            sum_ie[i] = ies[i] * now_ie % mod
            now_e = now_e * ies[i] % mod
            now_ie = now_ie * es[i] % mod
        return sum_e, sum_ie

    def butterfly(aaa, mod, sum_e):
        n = aaa.size
        h = ceil_pow2(n)

        for ph in range(1, h + 1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            now = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p] * now % mod
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = (l - r) % mod
                now = now * sum_e[bit_scan_forward(~s)] % mod

    def butterfly_inv(aaa, mod, sum_ie):
        n = aaa.size
        h = ceil_pow2(n)

        for ph in range(h, 0, -1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            inow = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p]
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = ((l - r) * inow) % mod
                inow = inow * sum_ie[bit_scan_forward(~s)] % mod

    MOD = 998244353
    primitive_root = get_primitive_root(MOD)
    sum_e, sum_ie = butterfly_prepare(MOD, primitive_root)

    def convolution(aaa, bbb, MOD):
        n = aaa.size
        m = bbb.size
        z = 1 << ceil_pow2(n + m - 1)
        raaa = np.zeros(z, np.int64)
        rbbb = np.zeros(z, np.int64)
        raaa[:n] = aaa
        rbbb[:m] = bbb
        butterfly(raaa, MOD, sum_e)
        butterfly(rbbb, MOD, sum_e)
        ccc = raaa * rbbb % MOD
        butterfly_inv(ccc, MOD, sum_ie)
        iz = pow_mod(z, MOD - 2, MOD)
        result = ccc[:n + m - 1] * iz % MOD
        return result

    def mod_pow(x, a, MOD):
        ret = 1
        cur = x
        while a:
            if a & 1:
                ret = ret * cur % MOD
            cur = cur * cur % MOD
            a >>= 1
        return ret

    def precompute_factorials(n, MOD):
        factorials = np.ones(n + 1, dtype=np.int64)
        for m in range(2, n + 1):
            factorials[m] = factorials[m - 1] * m % MOD
        inversions = np.ones(n + 1, dtype=np.int64)
        inversions[n] = mod_pow(factorials[n], MOD - 2, MOD)
        for m in range(n, 2, -1):
            inversions[m - 1] = inversions[m] * m % MOD
        return factorials, inversions

    def counter(arr):
        cnt = {0: 0}
        for a in arr:
            if a in cnt:
                cnt[a] += 1
            else:
                cnt[a] = 1
        if cnt[0] == 0:
            del cnt[0]
        return cnt

    n = inp[0]
    hhh = inp[1:]
    hhh_cnt = counter(hhh)

    same_heights = []
    max_pair_cnt = 0
    max_same_height = 0
    for c in hhh_cnt.values():
        if c <= 1:
            continue
        max_pair_cnt += c // 2
        max_same_height = max(max_same_height, c)
        same_heights.append(c)

    pairs = np.zeros(n + 1, np.int64)
    pairs[0] = 1
    for i in range(1, n + 1):
        pairs[i] = pairs[i - 1] * (i * 2 - 1) % MOD

    facts, finvs = precompute_factorials(max_same_height, MOD)

    same_heights.sort()
    pc = -1
    cmbs = [np.ones(1, np.int64)]
    q = [(1, 0)]
    for i, c in enumerate(same_heights):
        if pc == c:
            cmb = cmbs[-1].copy()
        else:
            cmb = np.zeros(c // 2 + 1, np.int64)
            for j in range(c // 2 + 1):
                cmb[j] = facts[c] * finvs[j * 2] % MOD * finvs[c - j * 2] % MOD * pairs[j] % MOD
            pc = c
        cmbs.append(cmb)
        q.append((cmb.size, i + 1))

    while len(q) > 1:
        _, i = heappop(q)
        _, j = heappop(q)
        cmbs[i] = convolution(cmbs[i], cmbs[j], MOD)
        heappush(q, (cmbs[i].size, i))

    result = cmbs[q[0][1]]

    ans = 0
    for i, v in enumerate(result):
        if i & 1:
            ans = (ans - v * pairs[n - i]) % MOD
        else:
            ans = (ans + v * pairs[n - i]) % MOD

    return ans


if sys.argv[-1] == 'ONLINE_JUDGE':
    from numba.pycc import CC

    cc = CC('my_module')
    cc.export('solve', '(i8[:],)')(solve)
    cc.compile()
    exit()

if os.name == 'posix':
    # noinspection PyUnresolvedReferences
    from my_module import solve
else:
    from numba import njit

    solve = njit('(i8[:],)', cache=True)(solve)
    print('compiled', file=sys.stderr)

inp = np.fromstring(sys.stdin.read(), dtype=np.int64, sep=' ')
ans = solve(inp)
print(ans)

Buggy python submission (verdict: Time Limit Exceeded):
# https://atcoder.jp/contests/practice2/submissions/16975799
# TODO: メモリリーク確認
from collections import Counter

code_acl_convolution = r"""
#define PY_SSIZE_T_CLEAN
#include <Python.h>


// >>> AtCoder >>>

#ifndef ATCODER_CONVOLUTION_HPP
#define ATCODER_CONVOLUTION_HPP 1

#include <algorithm>
#include <array>

#ifndef ATCODER_INTERNAL_BITOP_HPP
#define ATCODER_INTERNAL_BITOP_HPP 1

#ifdef _MSC_VER
#include <intrin.h>
#endif

namespace atcoder {

namespace internal {

// @param n `0 <= n`
// @return minimum non-negative `x` s.t. `n <= 2**x`
int ceil_pow2(int n) {
    int x = 0;
    while ((1U << x) < (unsigned int)(n)) x++;
    return x;
}

// @param n `1 <= n`
// @return minimum non-negative `x` s.t. `(n & (1 << x)) != 0`
int bsf(unsigned int n) {
#ifdef _MSC_VER
    unsigned long index;
    _BitScanForward(&index, n);
    return index;
#else
    return __builtin_ctz(n);
#endif
}

}  // namespace internal

}  // namespace atcoder

#endif  // ATCODER_INTERNAL_BITOP_HPP

#ifndef ATCODER_MODINT_HPP
#define ATCODER_MODINT_HPP 1

#ifndef ATCODER_INTERNAL_MATH_HPP
#define ATCODER_INTERNAL_MATH_HPP 1

#include <utility>

namespace atcoder {

namespace internal {

// @param m `1 <= m`
// @return x mod m
constexpr long long safe_mod(long long x, long long m) {
    x %= m;
    if (x < 0) x += m;
    return x;
}

// Fast modular multiplication by barrett reduction
// Reference: https://en.wikipedia.org/wiki/Barrett_reduction
// NOTE: reconsider after Ice Lake
struct barrett {
    unsigned int _m;
    unsigned long long im;

    // @param m `1 <= m < 2^31`
    barrett(unsigned int m) : _m(m), im((unsigned long long)(-1) / m + 1) {}

    // @return m
    unsigned int umod() const { return _m; }

    // @param a `0 <= a < m`
    // @param b `0 <= b < m`
    // @return `a * b % m`
    unsigned int mul(unsigned int a, unsigned int b) const {
        // [1] m = 1
        // a = b = im = 0, so okay

        // [2] m >= 2
        // im = ceil(2^64 / m)
        // -> im * m = 2^64 + r (0 <= r < m)
        // let z = a*b = c*m + d (0 <= c, d < m)
        // a*b * im = (c*m + d) * im = c*(im*m) + d*im = c*2^64 + c*r + d*im
        // c*r + d*im < m * m + m * im < m * m + 2^64 + m <= 2^64 + m * (m + 1) < 2^64 * 2
        // ((ab * im) >> 64) == c or c + 1
        unsigned long long z = a;
        z *= b;
#ifdef _MSC_VER
        unsigned long long x;
        _umul128(z, im, &x);
#else
        unsigned long long x =
            (unsigned long long)(((unsigned __int128)(z)*im) >> 64);
#endif
        unsigned int v = (unsigned int)(z - x * _m);
        if (_m <= v) v += _m;
        return v;
    }
};

// @param n `0 <= n`
// @param m `1 <= m`
// @return `(x ** n) % m`
constexpr long long pow_mod_constexpr(long long x, long long n, int m) {
    if (m == 1) return 0;
    unsigned int _m = (unsigned int)(m);
    unsigned long long r = 1;
    unsigned long long y = safe_mod(x, m);
    while (n) {
        if (n & 1) r = (r * y) % _m;
        y = (y * y) % _m;
        n >>= 1;
    }
    return r;
}

// Reference:
// M. Forisek and J. Jancina,
// Fast Primality Testing for Integers That Fit into a Machine Word
// @param n `0 <= n`
constexpr bool is_prime_constexpr(int n) {
    if (n <= 1) return false;
    if (n == 2 || n == 7 || n == 61) return true;
    if (n % 2 == 0) return false;
    long long d = n - 1;
    while (d % 2 == 0) d /= 2;
    constexpr long long bases[3] = {2, 7, 61};
    for (long long a : bases) {
        long long t = d;
        long long y = pow_mod_constexpr(a, t, n);
        while (t != n - 1 && y != 1 && y != n - 1) {
            y = y * y % n;
            t <<= 1;
        }
        if (y != n - 1 && t % 2 == 0) {
            return false;
        }
    }
    return true;
}
template <int n> constexpr bool is_prime = is_prime_constexpr(n);

// @param b `1 <= b`
// @return pair(g, x) s.t. g = gcd(a, b), xa = g (mod b), 0 <= x < b/g
constexpr std::pair<long long, long long> inv_gcd(long long a, long long b) {
    a = safe_mod(a, b);
    if (a == 0) return {b, 0};

    // Contracts:
    // [1] s - m0 * a = 0 (mod b)
    // [2] t - m1 * a = 0 (mod b)
    // [3] s * |m1| + t * |m0| <= b
    long long s = b, t = a;
    long long m0 = 0, m1 = 1;

    while (t) {
        long long u = s / t;
        s -= t * u;
        m0 -= m1 * u;  // |m1 * u| <= |m1| * s <= b

        // [3]:
        // (s - t * u) * |m1| + t * |m0 - m1 * u|
        // <= s * |m1| - t * u * |m1| + t * (|m0| + |m1| * u)
        // = s * |m1| + t * |m0| <= b

        auto tmp = s;
        s = t;
        t = tmp;
        tmp = m0;
        m0 = m1;
        m1 = tmp;
    }
    // by [3]: |m0| <= b/g
    // by g != b: |m0| < b/g
    if (m0 < 0) m0 += b / s;
    return {s, m0};
}

// Compile time primitive root
// @param m must be prime
// @return primitive root (and minimum in now)
constexpr int primitive_root_constexpr(int m) {
    if (m == 2) return 1;
    if (m == 167772161) return 3;
    if (m == 469762049) return 3;
    if (m == 754974721) return 11;
    if (m == 998244353) return 3;
    int divs[20] = {};
    divs[0] = 2;
    int cnt = 1;
    int x = (m - 1) / 2;
    while (x % 2 == 0) x /= 2;
    for (int i = 3; (long long)(i)*i <= x; i += 2) {
        if (x % i == 0) {
            divs[cnt++] = i;
            while (x % i == 0) {
                x /= i;
            }
        }
    }
    if (x > 1) {
        divs[cnt++] = x;
    }
    for (int g = 2;; g++) {
        bool ok = true;
        for (int i = 0; i < cnt; i++) {
            if (pow_mod_constexpr(g, (m - 1) / divs[i], m) == 1) {
                ok = false;
                break;
            }
        }
        if (ok) return g;
    }
}
template <int m> constexpr int primitive_root = primitive_root_constexpr(m);

}  // namespace internal

}  // namespace atcoder

#endif  // ATCODER_INTERNAL_MATH_HPP

#ifndef ATCODER_INTERNAL_TYPE_TRAITS_HPP
#define ATCODER_INTERNAL_TYPE_TRAITS_HPP 1

#include <cassert>
#include <numeric>
#include <type_traits>

namespace atcoder {

namespace internal {

#ifndef _MSC_VER
template <class T>
using is_signed_int128 =
    typename std::conditional<std::is_same<T, __int128_t>::value ||
                                  std::is_same<T, __int128>::value,
                              std::true_type,
                              std::false_type>::type;

template <class T>
using is_unsigned_int128 =
    typename std::conditional<std::is_same<T, __uint128_t>::value ||
                                  std::is_same<T, unsigned __int128>::value,
                              std::true_type,
                              std::false_type>::type;

template <class T>
using make_unsigned_int128 =
    typename std::conditional<std::is_same<T, __int128_t>::value,
                              __uint128_t,
                              unsigned __int128>;

template <class T>
using is_integral = typename std::conditional<std::is_integral<T>::value ||
                                                  is_signed_int128<T>::value ||
                                                  is_unsigned_int128<T>::value,
                                              std::true_type,
                                              std::false_type>::type;

template <class T>
using is_signed_int = typename std::conditional<(is_integral<T>::value &&
                                                 std::is_signed<T>::value) ||
                                                    is_signed_int128<T>::value,
                                                std::true_type,
                                                std::false_type>::type;

template <class T>
using is_unsigned_int =
    typename std::conditional<(is_integral<T>::value &&
                               std::is_unsigned<T>::value) ||
                                  is_unsigned_int128<T>::value,
                              std::true_type,
                              std::false_type>::type;

template <class T>
using to_unsigned = typename std::conditional<
    is_signed_int128<T>::value,
    make_unsigned_int128<T>,
    typename std::conditional<std::is_signed<T>::value,
                              std::make_unsigned<T>,
                              std::common_type<T>>::type>::type;

#else

template <class T> using is_integral = typename std::is_integral<T>;

template <class T>
using is_signed_int =
    typename std::conditional<is_integral<T>::value && std::is_signed<T>::value,
                              std::true_type,
                              std::false_type>::type;

template <class T>
using is_unsigned_int =
    typename std::conditional<is_integral<T>::value &&
                                  std::is_unsigned<T>::value,
                              std::true_type,
                              std::false_type>::type;

template <class T>
using to_unsigned = typename std::conditional<is_signed_int<T>::value,
                                              std::make_unsigned<T>,
                                              std::common_type<T>>::type;

#endif

template <class T>
using is_signed_int_t = std::enable_if_t<is_signed_int<T>::value>;

template <class T>
using is_unsigned_int_t = std::enable_if_t<is_unsigned_int<T>::value>;

template <class T> using to_unsigned_t = typename to_unsigned<T>::type;

}  // namespace internal

}  // namespace atcoder

#endif  // ATCODER_INTERNAL_TYPE_TRAITS_HPP

#include <cassert>
#include <numeric>
#include <type_traits>

#ifdef _MSC_VER
#include <intrin.h>
#endif

namespace atcoder {

namespace internal {

struct modint_base {};
struct static_modint_base : modint_base {};

template <class T> using is_modint = std::is_base_of<modint_base, T>;
template <class T> using is_modint_t = std::enable_if_t<is_modint<T>::value>;

}  // namespace internal

template <int m, std::enable_if_t<(1 <= m)>* = nullptr>
struct static_modint : internal::static_modint_base {
    using mint = static_modint;

  public:
    static constexpr int mod() { return m; }
    static mint raw(int v) {
        mint x;
        x._v = v;
        return x;
    }

    static_modint() : _v(0) {}
    template <class T, internal::is_signed_int_t<T>* = nullptr>
    static_modint(T v) {
        long long x = (long long)(v % (long long)(umod()));
        if (x < 0) x += umod();
        _v = (unsigned int)(x);
    }
    template <class T, internal::is_unsigned_int_t<T>* = nullptr>
    static_modint(T v) {
        _v = (unsigned int)(v % umod());
    }
    static_modint(bool v) { _v = ((unsigned int)(v) % umod()); }

    unsigned int val() const { return _v; }

    mint& operator++() {
        _v++;
        if (_v == umod()) _v = 0;
        return *this;
    }
    mint& operator--() {
        if (_v == 0) _v = umod();
        _v--;
        return *this;
    }
    mint operator++(int) {
        mint result = *this;
        ++*this;
        return result;
    }
    mint operator--(int) {
        mint result = *this;
        --*this;
        return result;
    }

    mint& operator+=(const mint& rhs) {
        _v += rhs._v;
        if (_v >= umod()) _v -= umod();
        return *this;
    }
    mint& operator-=(const mint& rhs) {
        _v -= rhs._v;
        if (_v >= umod()) _v += umod();
        return *this;
    }
    mint& operator*=(const mint& rhs) {
        unsigned long long z = _v;
        z *= rhs._v;
        _v = (unsigned int)(z % umod());
        return *this;
    }
    mint& operator/=(const mint& rhs) { return *this = *this * rhs.inv(); }

    mint operator+() const { return *this; }
    mint operator-() const { return mint() - *this; }

    mint pow(long long n) const {
        assert(0 <= n);
        mint x = *this, r = 1;
        while (n) {
            if (n & 1) r *= x;
            x *= x;
            n >>= 1;
        }
        return r;
    }
    mint inv() const {
        if (prime) {
            assert(_v);
            return pow(umod() - 2);
        } else {
            auto eg = internal::inv_gcd(_v, m);
            assert(eg.first == 1);
            return eg.second;
        }
    }

    friend mint operator+(const mint& lhs, const mint& rhs) {
        return mint(lhs) += rhs;
    }
    friend mint operator-(const mint& lhs, const mint& rhs) {
        return mint(lhs) -= rhs;
    }
    friend mint operator*(const mint& lhs, const mint& rhs) {
        return mint(lhs) *= rhs;
    }
    friend mint operator/(const mint& lhs, const mint& rhs) {
        return mint(lhs) /= rhs;
    }
    friend bool operator==(const mint& lhs, const mint& rhs) {
        return lhs._v == rhs._v;
    }
    friend bool operator!=(const mint& lhs, const mint& rhs) {
        return lhs._v != rhs._v;
    }

  private:
    unsigned int _v;
    static constexpr unsigned int umod() { return m; }
    static constexpr bool prime = internal::is_prime<m>;
};

template <int id> struct dynamic_modint : internal::modint_base {
    using mint = dynamic_modint;

  public:
    static int mod() { return (int)(bt.umod()); }
    static void set_mod(int m) {
        assert(1 <= m);
        bt = internal::barrett(m);
    }
    static mint raw(int v) {
        mint x;
        x._v = v;
        return x;
    }

    dynamic_modint() : _v(0) {}
    template <class T, internal::is_signed_int_t<T>* = nullptr>
    dynamic_modint(T v) {
        long long x = (long long)(v % (long long)(mod()));
        if (x < 0) x += mod();
        _v = (unsigned int)(x);
    }
    template <class T, internal::is_unsigned_int_t<T>* = nullptr>
    dynamic_modint(T v) {
        _v = (unsigned int)(v % mod());
    }
    dynamic_modint(bool v) { _v = ((unsigned int)(v) % mod()); }

    unsigned int val() const { return _v; }

    mint& operator++() {
        _v++;
        if (_v == umod()) _v = 0;
        return *this;
    }
    mint& operator--() {
        if (_v == 0) _v = umod();
        _v--;
        return *this;
    }
    mint operator++(int) {
        mint result = *this;
        ++*this;
        return result;
    }
    mint operator--(int) {
        mint result = *this;
        --*this;
        return result;
    }

    mint& operator+=(const mint& rhs) {
        _v += rhs._v;
        if (_v >= umod()) _v -= umod();
        return *this;
    }
    mint& operator-=(const mint& rhs) {
        _v += mod() - rhs._v;
        if (_v >= umod()) _v -= umod();
        return *this;
    }
    mint& operator*=(const mint& rhs) {
        _v = bt.mul(_v, rhs._v);
        return *this;
    }
    mint& operator/=(const mint& rhs) { return *this = *this * rhs.inv(); }

    mint operator+() const { return *this; }
    mint operator-() const { return mint() - *this; }

    mint pow(long long n) const {
        assert(0 <= n);
        mint x = *this, r = 1;
        while (n) {
            if (n & 1) r *= x;
            x *= x;
            n >>= 1;
        }
        return r;
    }
    mint inv() const {
        auto eg = internal::inv_gcd(_v, mod());
        assert(eg.first == 1);
        return eg.second;
    }

    friend mint operator+(const mint& lhs, const mint& rhs) {
        return mint(lhs) += rhs;
    }
    friend mint operator-(const mint& lhs, const mint& rhs) {
        return mint(lhs) -= rhs;
    }
    friend mint operator*(const mint& lhs, const mint& rhs) {
        return mint(lhs) *= rhs;
    }
    friend mint operator/(const mint& lhs, const mint& rhs) {
        return mint(lhs) /= rhs;
    }
    friend bool operator==(const mint& lhs, const mint& rhs) {
        return lhs._v == rhs._v;
    }
    friend bool operator!=(const mint& lhs, const mint& rhs) {
        return lhs._v != rhs._v;
    }

  private:
    unsigned int _v;
    static internal::barrett bt;
    static unsigned int umod() { return bt.umod(); }
};
template <int id> internal::barrett dynamic_modint<id>::bt = 998244353;

using modint998244353 = static_modint<998244353>;
using modint1000000007 = static_modint<1000000007>;
using modint = dynamic_modint<-1>;

namespace internal {

template <class T>
using is_static_modint = std::is_base_of<internal::static_modint_base, T>;

template <class T>
using is_static_modint_t = std::enable_if_t<is_static_modint<T>::value>;

template <class> struct is_dynamic_modint : public std::false_type {};
template <int id>
struct is_dynamic_modint<dynamic_modint<id>> : public std::true_type {};

template <class T>
using is_dynamic_modint_t = std::enable_if_t<is_dynamic_modint<T>::value>;

}  // namespace internal

}  // namespace atcoder

#endif  // ATCODER_MODINT_HPP

#include <cassert>
#include <type_traits>
#include <vector>

namespace atcoder {

namespace internal {

template <class mint, internal::is_static_modint_t<mint>* = nullptr>
void butterfly(std::vector<mint>& a) {
    static constexpr int g = internal::primitive_root<mint::mod()>;
    int n = int(a.size());
    int h = internal::ceil_pow2(n);

    static bool first = true;
    static mint sum_e[30];  // sum_e[i] = ies[0] * ... * ies[i - 1] * es[i]
    if (first) {
        first = false;
        mint es[30], ies[30];  // es[i]^(2^(2+i)) == 1
        int cnt2 = bsf(mint::mod() - 1);
        mint e = mint(g).pow((mint::mod() - 1) >> cnt2), ie = e.inv();
        for (int i = cnt2; i >= 2; i--) {
            // e^(2^i) == 1
            es[i - 2] = e;
            ies[i - 2] = ie;
            e *= e;
            ie *= ie;
        }
        mint now = 1;
        for (int i = 0; i <= cnt2 - 2; i++) {
            sum_e[i] = es[i] * now;
            now *= ies[i];
        }
    }
    for (int ph = 1; ph <= h; ph++) {
        int w = 1 << (ph - 1), p = 1 << (h - ph);
        mint now = 1;
        for (int s = 0; s < w; s++) {
            int offset = s << (h - ph + 1);
            for (int i = 0; i < p; i++) {
                auto l = a[i + offset];
                auto r = a[i + offset + p] * now;
                a[i + offset] = l + r;
                a[i + offset + p] = l - r;
            }
            now *= sum_e[bsf(~(unsigned int)(s))];
        }
    }
}

template <class mint, internal::is_static_modint_t<mint>* = nullptr>
void butterfly_inv(std::vector<mint>& a) {
    static constexpr int g = internal::primitive_root<mint::mod()>;
    int n = int(a.size());
    int h = internal::ceil_pow2(n);

    static bool first = true;
    static mint sum_ie[30];  // sum_ie[i] = es[0] * ... * es[i - 1] * ies[i]
    if (first) {
        first = false;
        mint es[30], ies[30];  // es[i]^(2^(2+i)) == 1
        int cnt2 = bsf(mint::mod() - 1);
        mint e = mint(g).pow((mint::mod() - 1) >> cnt2), ie = e.inv();
        for (int i = cnt2; i >= 2; i--) {
            // e^(2^i) == 1
            es[i - 2] = e;
            ies[i - 2] = ie;
            e *= e;
            ie *= ie;
        }
        mint now = 1;
        for (int i = 0; i <= cnt2 - 2; i++) {
            sum_ie[i] = ies[i] * now;
            now *= es[i];
        }
    }

    for (int ph = h; ph >= 1; ph--) {
        int w = 1 << (ph - 1), p = 1 << (h - ph);
        mint inow = 1;
        for (int s = 0; s < w; s++) {
            int offset = s << (h - ph + 1);
            for (int i = 0; i < p; i++) {
                auto l = a[i + offset];
                auto r = a[i + offset + p];
                a[i + offset] = l + r;
                a[i + offset + p] =
                    (unsigned long long)(mint::mod() + l.val() - r.val()) *
                    inow.val();
            }
            inow *= sum_ie[bsf(~(unsigned int)(s))];
        }
    }
}

}  // namespace internal

template <class mint, internal::is_static_modint_t<mint>* = nullptr>
std::vector<mint> convolution(std::vector<mint> a, std::vector<mint> b) {
    int n = int(a.size()), m = int(b.size());
    if (!n || !m) return {};
    if (std::min(n, m) <= 60) {
        if (n < m) {
            std::swap(n, m);
            std::swap(a, b);
        }
        std::vector<mint> ans(n + m - 1);
        for (int i = 0; i < n; i++) {
            for (int j = 0; j < m; j++) {
                ans[i + j] += a[i] * b[j];
            }
        }
        return ans;
    }
    int z = 1 << internal::ceil_pow2(n + m - 1);
    a.resize(z);
    internal::butterfly(a);
    b.resize(z);
    internal::butterfly(b);
    for (int i = 0; i < z; i++) {
        a[i] *= b[i];
    }
    internal::butterfly_inv(a);
    a.resize(n + m - 1);
    mint iz = mint(z).inv();
    for (int i = 0; i < n + m - 1; i++) a[i] *= iz;
    return a;
}

template <unsigned int mod = 998244353,
          class T,
          std::enable_if_t<internal::is_integral<T>::value>* = nullptr>
std::vector<T> convolution(const std::vector<T>& a, const std::vector<T>& b) {
    int n = int(a.size()), m = int(b.size());
    if (!n || !m) return {};

    using mint = static_modint<mod>;
    std::vector<mint> a2(n), b2(m);
    for (int i = 0; i < n; i++) {
        a2[i] = mint(a[i]);
    }
    for (int i = 0; i < m; i++) {
        b2[i] = mint(b[i]);
    }
    auto c2 = convolution(move(a2), move(b2));
    std::vector<T> c(n + m - 1);
    for (int i = 0; i < n + m - 1; i++) {
        c[i] = c2[i].val();
    }
    return c;
}

std::vector<long long> convolution_ll(const std::vector<long long>& a,
                                      const std::vector<long long>& b) {
    int n = int(a.size()), m = int(b.size());
    if (!n || !m) return {};

    static constexpr unsigned long long MOD1 = 754974721;  // 2^24
    static constexpr unsigned long long MOD2 = 167772161;  // 2^25
    static constexpr unsigned long long MOD3 = 469762049;  // 2^26
    static constexpr unsigned long long M2M3 = MOD2 * MOD3;
    static constexpr unsigned long long M1M3 = MOD1 * MOD3;
    static constexpr unsigned long long M1M2 = MOD1 * MOD2;
    static constexpr unsigned long long M1M2M3 = MOD1 * MOD2 * MOD3;

    static constexpr unsigned long long i1 =
        internal::inv_gcd(MOD2 * MOD3, MOD1).second;
    static constexpr unsigned long long i2 =
        internal::inv_gcd(MOD1 * MOD3, MOD2).second;
    static constexpr unsigned long long i3 =
        internal::inv_gcd(MOD1 * MOD2, MOD3).second;

    auto c1 = convolution<MOD1>(a, b);
    auto c2 = convolution<MOD2>(a, b);
    auto c3 = convolution<MOD3>(a, b);

    std::vector<long long> c(n + m - 1);
    for (int i = 0; i < n + m - 1; i++) {
        unsigned long long x = 0;
        x += (c1[i] * i1) % MOD1 * M2M3;
        x += (c2[i] * i2) % MOD2 * M1M3;
        x += (c3[i] * i3) % MOD3 * M1M2;
        // B = 2^63, -B <= x, r(real value) < B
        // (x, x - M, x - 2M, or x - 3M) = r (mod 2B)
        // r = c1[i] (mod MOD1)
        // focus on MOD1
        // r = x, x - M', x - 2M', x - 3M' (M' = M % 2^64) (mod 2B)
        // r = x,
        //     x - M' + (0 or 2B),
        //     x - 2M' + (0, 2B or 4B),
        //     x - 3M' + (0, 2B, 4B or 6B) (without mod!)
        // (r - x) = 0, (0)
        //           - M' + (0 or 2B), (1)
        //           -2M' + (0 or 2B or 4B), (2)
        //           -3M' + (0 or 2B or 4B or 6B) (3) (mod MOD1)
        // we checked that
        //   ((1) mod MOD1) mod 5 = 2
        //   ((2) mod MOD1) mod 5 = 3
        //   ((3) mod MOD1) mod 5 = 4
        long long diff =
            c1[i] - internal::safe_mod((long long)(x), (long long)(MOD1));
        if (diff < 0) diff += MOD1;
        static constexpr unsigned long long offset[5] = {
            0, 0, M1M2M3, 2 * M1M2M3, 3 * M1M2M3};
        x -= offset[diff % 5];
        c[i] = x;
    }

    return c;
}

}  // namespace atcoder

#endif  // ATCODER_CONVOLUTION_HPP

// <<< AtCoder <<<


using namespace std;
using namespace atcoder;
#define PARSE_ARGS(types, ...) if(!PyArg_ParseTuple(args, types, __VA_ARGS__)) return NULL


// >>> acl_convolution definition >>>

static PyObject* acl_convolution_convolution(PyObject* self, PyObject* args){
    PyObject *a_iterable, *b_iterable, *iterator, *item;
    PARSE_ARGS("OO", &a_iterable, &b_iterable);
    vector<long long> a, b;

    iterator = PyObject_GetIter(a_iterable);
    if(iterator==NULL) return NULL;
    if(Py_TYPE(a_iterable)->tp_as_sequence != NULL) a.reserve((int)Py_SIZE(a_iterable));
    while(item = PyIter_Next(iterator)) {
        a.push_back(PyLong_AsLongLong(item));
        Py_DECREF(item);
    }
    Py_DECREF(iterator);
    if (PyErr_Occurred()) return NULL;

    iterator = PyObject_GetIter(b_iterable);
    if(iterator==NULL) return NULL;
    if(Py_TYPE(b_iterable)->tp_as_sequence != NULL) b.reserve((int)Py_SIZE(b_iterable));
    while(item = PyIter_Next(iterator)) {
        b.push_back(PyLong_AsLongLong(item));
        Py_DECREF(item);
    }
    Py_DECREF(iterator);
    if (PyErr_Occurred()) return NULL;

    const vector<long long>& res = convolution<998244353>(a, b);
    PyObject* res_list = PyList_New(res.size());
    for(int i=0; i<res.size(); i++){
        PyList_SET_ITEM(res_list, i, PyLong_FromLongLong(res[i]));
    }
    return res_list;
}
static PyObject* acl_convolution_convolution_ll(PyObject* self, PyObject* args){
    PyObject *a_iterable, *b_iterable, *iterator, *item;
    PARSE_ARGS("OO", &a_iterable, &b_iterable);
    vector<long long> a, b;

    iterator = PyObject_GetIter(a_iterable);
    if(iterator==NULL) return NULL;
    if(Py_TYPE(a_iterable)->tp_as_sequence != NULL) a.reserve((int)Py_SIZE(a_iterable));
    while(item = PyIter_Next(iterator)) {
        a.push_back(PyLong_AsLongLong(item));
        Py_DECREF(item);
    }
    Py_DECREF(iterator);
    if (PyErr_Occurred()) return NULL;

    iterator = PyObject_GetIter(b_iterable);
    if(iterator==NULL) return NULL;
    if(Py_TYPE(b_iterable)->tp_as_sequence != NULL) b.reserve((int)Py_SIZE(b_iterable));
    while(item = PyIter_Next(iterator)) {
        b.push_back(PyLong_AsLongLong(item));
        Py_DECREF(item);
    }
    Py_DECREF(iterator);
    if (PyErr_Occurred()) return NULL;

    const vector<long long>& res = convolution_ll(a, b);
    PyObject* res_list = PyList_New(res.size());
    for(int i=0; i<res.size(); i++){
        PyList_SET_ITEM(res_list, i, PyLong_FromLongLong(res[i]));
    }
    return res_list;
}

static PyMethodDef acl_convolution_methods[] = {
    {"convolution", (PyCFunction)acl_convolution_convolution, METH_VARARGS, "convolution mod 998244353"},
    {"convolution_ll", (PyCFunction)acl_convolution_convolution_ll, METH_VARARGS, "convolution long long"},
    {NULL}  /* Sentinel */
};


// <<< acl_convolution definition <<<


static PyModuleDef acl_convolution_module = {
    PyModuleDef_HEAD_INIT,
    "acl_convolution",
    NULL,
    -1,
    acl_convolution_methods,
};

PyMODINIT_FUNC PyInit_acl_convolution(void){
    return PyModule_Create(&acl_convolution_module);
}
"""
code_acl_convolution_setup = r"""
from distutils.core import setup, Extension
module = Extension(
    "acl_convolution",
    sources=["acl_convolution.cpp"],
    extra_compile_args=["-O3", "-march=native", "-std=c++14"]
)
setup(
    name="acl_convolution",
    version="0.0.1",
    description="wrapper for atcoder library scc",
    ext_modules=[module],
    platforms=["x64"]
)
"""

import os
import sys

if sys.argv[-1] == "ONLINE_JUDGE" or os.getcwd() != "/imojudge/sandbox":
    with open("acl_convolution.cpp", "w") as f:
        f.write(code_acl_convolution)
    with open("acl_convolution_setup.py", "w") as f:
        f.write(code_acl_convolution_setup)
    os.system(f"{sys.executable} acl_convolution_setup.py build_ext --inplace")

from acl_convolution import convolution, convolution_ll


def main():
    def precompute_factorials(n, MOD):
        factorials = [1, 1]
        for m in range(2, n + 1):
            factorials.append(factorials[-1] * m % MOD)
        inversions = [1] * (n + 1)
        inversions[n] = pow(factorials[n], -1, MOD)
        for m in range(n, 2, -1):
            inversions[m - 1] = inversions[m] * m % MOD
        return factorials, inversions

    MOD = 998244353
    n, *hhh = map(int, sys.stdin.buffer.read().split())
    cnt = Counter(hhh)

    same_heights = []
    max_pair = 0
    max_cnt = 0
    for c in cnt.values():
        if c <= 1:
            continue
        max_pair += c // 2
        max_cnt = max(max_cnt, c)
        same_heights.append(c)

    pairs = [1]
    for i in range(1, n + 1):
        pairs.append(pairs[-1] * (i * 2 - 1) % MOD)

    facts, finvs = precompute_factorials(max_cnt, MOD)

    dp = [1]

    for c in same_heights:
        cmb = []
        for j in range(c // 2 + 1):
            cmb.append(facts[c] * finvs[j * 2] * finvs[c - j * 2] % MOD * pairs[j] % MOD)
        dp = convolution(dp, cmb)

    ans = 0
    for i, v in enumerate(dp):
        if i & 1:
            ans = (ans - v * pairs[n - i]) % MOD
        else:
            ans = (ans + v * pairs[n - i]) % MOD

    return ans


print(main())


Fixed submission:
import os
import sys
from heapq import heappop, heappush

import numpy as np


# https://github.com/atcoder/ac-library/blob/master/atcoder/convolution.hpp

def solve(inp):
    def ceil_pow2(n):
        x = 0
        while 1 << x < n:
            x += 1
        return x

    def bit_scan_forward(n):
        x = 0
        while n & 1 == 0:
            n >>= 1
            x += 1
        return x

    def pow_mod(x, n, m):
        r = 1
        y = x % m
        while n:
            if n & 1:
                r = (r * y) % m
            y = y * y % m
            n >>= 1
        return r

    def get_primitive_root(m):
        if m == 2: return 1
        if m == 167772161: return 3
        if m == 469762049: return 3
        if m == 754974721: return 11
        if m == 998244353: return 3
        divs = [2]
        x = (m - 1) // 2
        while x & 1 == 0:
            x >>= 1
        i = 3
        while i * i <= x:
            if x % i == 0:
                divs.append(i)
                x //= i
                while x % i == 0:
                    x //= i
            i += 2
        if x > 1:
            divs.append(x)
        g = 2
        while True:
            ok = True
            for d in divs:
                if pow_mod(g, (m - 1) // d, m) == 1:
                    ok = False
                    break
            if ok:
                return g

    def butterfly_prepare(mod, primitive_root):
        sum_e = np.zeros(30, np.int64)
        sum_ie = np.zeros(30, np.int64)
        es = np.zeros(30, np.int64)
        ies = np.zeros(30, np.int64)
        cnt2 = bit_scan_forward(mod - 1)
        e = pow_mod(primitive_root, (mod - 1) >> cnt2, mod)
        ie = pow_mod(e, mod - 2, mod)
        for i in range(cnt2, 1, -1):
            es[i - 2] = e
            ies[i - 2] = ie
            e = e * e % mod
            ie = ie * ie % mod
        now_e = 1
        now_ie = 1
        for i in range(cnt2 - 1):
            sum_e[i] = es[i] * now_e % mod
            sum_ie[i] = ies[i] * now_ie % mod
            now_e = now_e * ies[i] % mod
            now_ie = now_ie * es[i] % mod
        return sum_e, sum_ie

    def butterfly(aaa, mod, sum_e):
        n = aaa.size
        h = ceil_pow2(n)

        for ph in range(1, h + 1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            now = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p] * now % mod
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = (l - r) % mod
                now = now * sum_e[bit_scan_forward(~s)] % mod

    def butterfly_inv(aaa, mod, sum_ie):
        n = aaa.size
        h = ceil_pow2(n)

        for ph in range(h, 0, -1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            inow = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p]
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = ((l - r) * inow) % mod
                inow = inow * sum_ie[bit_scan_forward(~s)] % mod

    MOD = 998244353
    primitive_root = get_primitive_root(MOD)
    sum_e, sum_ie = butterfly_prepare(MOD, primitive_root)

    def convolution(aaa, bbb, MOD):
        n = aaa.size
        m = bbb.size
        z = 1 << ceil_pow2(n + m - 1)
        raaa = np.zeros(z, np.int64)
        rbbb = np.zeros(z, np.int64)
        raaa[:n] = aaa
        rbbb[:m] = bbb
        butterfly(raaa, MOD, sum_e)
        butterfly(rbbb, MOD, sum_e)
        ccc = raaa * rbbb % MOD
        butterfly_inv(ccc, MOD, sum_ie)
        iz = pow_mod(z, MOD - 2, MOD)
        result = ccc[:n + m - 1] * iz % MOD
        return result

    def mod_pow(x, a, MOD):
        ret = 1
        cur = x
        while a:
            if a & 1:
                ret = ret * cur % MOD
            cur = cur * cur % MOD
            a >>= 1
        return ret

    def precompute_factorials(n, MOD):
        factorials = np.ones(n + 1, dtype=np.int64)
        for m in range(2, n + 1):
            factorials[m] = factorials[m - 1] * m % MOD
        inversions = np.ones(n + 1, dtype=np.int64)
        inversions[n] = mod_pow(factorials[n], MOD - 2, MOD)
        for m in range(n, 2, -1):
            inversions[m - 1] = inversions[m] * m % MOD
        return factorials, inversions

    def counter(arr):
        cnt = {0: 0}
        for a in arr:
            if a in cnt:
                cnt[a] += 1
            else:
                cnt[a] = 1
        if cnt[0] == 0:
            del cnt[0]
        return cnt

    n = inp[0]
    hhh = inp[1:]
    hhh_cnt = counter(hhh)

    same_heights = []
    max_pair_cnt = 0
    max_same_height = 0
    for c in hhh_cnt.values():
        if c <= 1:
            continue
        max_pair_cnt += c // 2
        max_same_height = max(max_same_height, c)
        same_heights.append(c)

    pairs = np.zeros(n + 1, np.int64)
    pairs[0] = 1
    for i in range(1, n + 1):
        pairs[i] = pairs[i - 1] * (i * 2 - 1) % MOD

    facts, finvs = precompute_factorials(max_same_height, MOD)

    same_heights.sort()
    pc = -1
    cmbs = [np.ones(1, np.int64)]
    q = [(1, 0)]
    for i, c in enumerate(same_heights):
        if pc == c:
            cmb = cmbs[-1].copy()
        else:
            cmb = np.zeros(c // 2 + 1, np.int64)
            for j in range(c // 2 + 1):
                cmb[j] = facts[c] * finvs[j * 2] % MOD * finvs[c - j * 2] % MOD * pairs[j] % MOD
            pc = c
        cmbs.append(cmb)
        q.append((cmb.size, i + 1))

    while len(q) > 1:
        _, i = heappop(q)
        _, j = heappop(q)
        cmbs[i] = convolution(cmbs[i], cmbs[j], MOD)
        heappush(q, (cmbs[i].size, i))

    result = cmbs[q[0][1]]

    ans = 0
    for i, v in enumerate(result):
        if i & 1:
            ans = (ans - v * pairs[n - i]) % MOD
        else:
            ans = (ans + v * pairs[n - i]) % MOD

    return ans


if sys.argv[-1] == 'ONLINE_JUDGE':
    from numba.pycc import CC

    cc = CC('my_module')
    cc.export('solve', '(i8[:],)')(solve)
    cc.compile()
    exit()

if os.name == 'posix':
    # noinspection PyUnresolvedReferences
    from my_module import solve
else:
    from numba import njit

    solve = njit('(i8[:],)', cache=True)(solve)
    print('compiled', file=sys.stderr)

inp = np.fromstring(sys.stdin.read(), dtype=np.int64, sep=' ')
ans = solve(inp)
print(ans)

Buggy python submission (verdict: Time Limit Exceeded):
import os
import sys

import numpy as np


# https://github.com/atcoder/ac-library/blob/master/atcoder/convolution.hpp

def solve(inp):
    def bit_length(n):
        x = 0
        while 1 << x < n:
            x += 1
        return x

    def bit_scan_forward(n):
        x = 0
        while n & 1 == 0:
            n >>= 1
            x += 1
        return x

    def pow_mod(x, n, m):
        r = 1
        y = x % m
        while n:
            if n & 1:
                r = (r * y) % m
            y = y * y % m
            n >>= 1
        return r

    def get_primitive_root(m):
        if m == 2: return 1
        if m == 167772161: return 3
        if m == 469762049: return 3
        if m == 754974721: return 11
        if m == 998244353: return 3
        divs = [2]
        x = (m - 1) // 2
        while x & 1 == 0:
            x >>= 1
        i = 3
        while i * i <= x:
            if x % i == 0:
                divs.append(i)
                x //= i
                while x % i == 0:
                    x //= i
            i += 2
        if x > 1:
            divs.append(x)
        g = 2
        while True:
            ok = True
            for d in divs:
                if pow_mod(g, (m - 1) // d, m) == 1:
                    ok = False
                    break
            if ok:
                return g

    def butterfly_prepare(mod, primitive_root):
        sum_e = np.zeros(30, np.int64)
        sum_ie = np.zeros(30, np.int64)
        es = np.zeros(30, np.int64)
        ies = np.zeros(30, np.int64)
        cnt2 = bit_scan_forward(mod - 1)
        e = pow_mod(primitive_root, (mod - 1) >> cnt2, mod)
        ie = pow_mod(e, mod - 2, mod)
        for i in range(cnt2, 1, -1):
            es[i - 2] = e
            ies[i - 2] = ie
            e = e * e % mod
            ie = ie * ie % mod
        now_e = 1
        now_ie = 1
        for i in range(cnt2 - 1):
            sum_e[i] = es[i] * now_e % mod
            sum_ie[i] = ies[i] * now_ie % mod
            now_e = now_e * ies[i] % mod
            now_ie = now_ie * es[i] % mod
        return sum_e, sum_ie

    def butterfly(aaa, mod, sum_e):
        n = aaa.size
        h = bit_length(n)

        for ph in range(1, h + 1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            now = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p] * now % mod
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = (l - r) % mod
                now = now * sum_e[bit_scan_forward(~s)] % mod

    def butterfly_inv(aaa, mod, sum_ie):
        n = aaa.size
        h = bit_length(n)

        for ph in range(h, 0, -1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            inow = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p]
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = ((l - r) * inow) % mod
                inow = inow * sum_ie[bit_scan_forward(~s)] % mod

    def convolution(aaa, bbb, MOD):
        n = aaa.size
        m = bbb.size
        z = 1 << bit_length(n + m - 1)
        raaa = np.zeros(z, np.int64)
        rbbb = np.zeros(z, np.int64)
        raaa[:n] = aaa
        rbbb[:m] = bbb
        primitive_root = get_primitive_root(MOD)
        sum_e, sum_ie = butterfly_prepare(MOD, primitive_root)
        butterfly(raaa, MOD, sum_e)
        butterfly(rbbb, MOD, sum_e)
        ccc = raaa * rbbb % MOD
        butterfly_inv(ccc, MOD, sum_ie)
        iz = pow_mod(z, MOD - 2, MOD)
        result = ccc[:n + m - 1] * iz % MOD
        return result

    def mod_pow(x, a, MOD):
        ret = 1
        cur = x
        while a:
            if a & 1:
                ret = ret * cur % MOD
            cur = cur * cur % MOD
            a >>= 1
        return ret

    def precompute_factorials(n, MOD):
        factorials = np.ones(n + 1, dtype=np.int64)
        for m in range(2, n + 1):
            factorials[m] = factorials[m - 1] * m % MOD
        inversions = np.ones(n + 1, dtype=np.int64)
        inversions[n] = mod_pow(factorials[n], MOD - 2, MOD)
        for m in range(n, 2, -1):
            inversions[m - 1] = inversions[m] * m % MOD
        return factorials, inversions

    MOD = 998244353
    n = inp[0]
    hhh = inp[1:]
    cnt = {0: 0}
    for h in hhh:
        if h in cnt:
            cnt[h] += 1
        else:
            cnt[h] = 1

    same_heights = []
    max_pair = 0
    max_cnt = 0
    for c in cnt.values():
        if c <= 1:
            continue
        max_pair += c // 2
        max_cnt = max(max_cnt, c)
        same_heights.append(c)

    pairs = np.zeros(n + 1, np.int64)
    pairs[0] = 1
    for i in range(1, n + 1):
        pairs[i] = pairs[i - 1] * (i * 2 - 1) % MOD

    facts, finvs = precompute_factorials(max_cnt, MOD)

    z = 1 << bit_length(max_pair + 1)

    dp = np.zeros(z, np.int64)
    dp[0] = 1
    primitive_root = get_primitive_root(MOD)
    sum_e, sum_ie = butterfly_prepare(MOD, primitive_root)
    butterfly(dp, MOD, sum_e)
    cmb = np.zeros(z, np.int64)

    for c in same_heights:
        cmb.fill(0)
        for j in range(c // 2 + 1):
            cmb[j] = facts[c] * finvs[j * 2] % MOD * finvs[c - j * 2] % MOD * pairs[j] % MOD
        butterfly(cmb, MOD, sum_e)
        dp *= cmb
        dp %= MOD

    butterfly_inv(dp, MOD, sum_ie)
    iz = pow_mod(z, MOD - 2, MOD)
    result = dp * iz % MOD

    # print(result)
    # print(pairs)

    ans = 0
    for i, v in enumerate(result):
        if i & 1:
            ans = (ans - v * pairs[n - i]) % MOD
        else:
            ans = (ans + v * pairs[n - i]) % MOD
        # print(i, v, ans, ans - MOD)

    return ans


if sys.argv[-1] == 'ONLINE_JUDGE':
    from numba.pycc import CC

    cc = CC('my_module')
    cc.export('solve', '(i8[:],)')(solve)
    cc.compile()
    exit()

if os.name == 'posix':
    # noinspection PyUnresolvedReferences
    from my_module import solve
else:
    from numba import njit

    solve = njit('(i8[:],)', cache=True)(solve)
    print('compiled', file=sys.stderr)

inp = np.fromstring(sys.stdin.read(), dtype=np.int64, sep=' ')
ans = solve(inp)
print(ans)


Fixed submission:
import os
import sys
from heapq import heappop, heappush

import numpy as np


# https://github.com/atcoder/ac-library/blob/master/atcoder/convolution.hpp

def solve(inp):
    def ceil_pow2(n):
        x = 0
        while 1 << x < n:
            x += 1
        return x

    def bit_scan_forward(n):
        x = 0
        while n & 1 == 0:
            n >>= 1
            x += 1
        return x

    def pow_mod(x, n, m):
        r = 1
        y = x % m
        while n:
            if n & 1:
                r = (r * y) % m
            y = y * y % m
            n >>= 1
        return r

    def get_primitive_root(m):
        if m == 2: return 1
        if m == 167772161: return 3
        if m == 469762049: return 3
        if m == 754974721: return 11
        if m == 998244353: return 3
        divs = [2]
        x = (m - 1) // 2
        while x & 1 == 0:
            x >>= 1
        i = 3
        while i * i <= x:
            if x % i == 0:
                divs.append(i)
                x //= i
                while x % i == 0:
                    x //= i
            i += 2
        if x > 1:
            divs.append(x)
        g = 2
        while True:
            ok = True
            for d in divs:
                if pow_mod(g, (m - 1) // d, m) == 1:
                    ok = False
                    break
            if ok:
                return g

    def butterfly_prepare(mod, primitive_root):
        sum_e = np.zeros(30, np.int64)
        sum_ie = np.zeros(30, np.int64)
        es = np.zeros(30, np.int64)
        ies = np.zeros(30, np.int64)
        cnt2 = bit_scan_forward(mod - 1)
        e = pow_mod(primitive_root, (mod - 1) >> cnt2, mod)
        ie = pow_mod(e, mod - 2, mod)
        for i in range(cnt2, 1, -1):
            es[i - 2] = e
            ies[i - 2] = ie
            e = e * e % mod
            ie = ie * ie % mod
        now_e = 1
        now_ie = 1
        for i in range(cnt2 - 1):
            sum_e[i] = es[i] * now_e % mod
            sum_ie[i] = ies[i] * now_ie % mod
            now_e = now_e * ies[i] % mod
            now_ie = now_ie * es[i] % mod
        return sum_e, sum_ie

    def butterfly(aaa, mod, sum_e):
        n = aaa.size
        h = ceil_pow2(n)

        for ph in range(1, h + 1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            now = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p] * now % mod
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = (l - r) % mod
                now = now * sum_e[bit_scan_forward(~s)] % mod

    def butterfly_inv(aaa, mod, sum_ie):
        n = aaa.size
        h = ceil_pow2(n)

        for ph in range(h, 0, -1):
            w = 1 << (ph - 1)
            p = 1 << (h - ph)
            inow = 1
            for s in range(w):
                offset = s << (h - ph + 1)
                for i in range(p):
                    l = aaa[i + offset]
                    r = aaa[i + offset + p]
                    aaa[i + offset] = (l + r) % mod
                    aaa[i + offset + p] = ((l - r) * inow) % mod
                inow = inow * sum_ie[bit_scan_forward(~s)] % mod

    MOD = 998244353
    primitive_root = get_primitive_root(MOD)
    sum_e, sum_ie = butterfly_prepare(MOD, primitive_root)

    def convolution(aaa, bbb, MOD):
        n = aaa.size
        m = bbb.size
        z = 1 << ceil_pow2(n + m - 1)
        raaa = np.zeros(z, np.int64)
        rbbb = np.zeros(z, np.int64)
        raaa[:n] = aaa
        rbbb[:m] = bbb
        butterfly(raaa, MOD, sum_e)
        butterfly(rbbb, MOD, sum_e)
        ccc = raaa * rbbb % MOD
        butterfly_inv(ccc, MOD, sum_ie)
        iz = pow_mod(z, MOD - 2, MOD)
        result = ccc[:n + m - 1] * iz % MOD
        return result

    def mod_pow(x, a, MOD):
        ret = 1
        cur = x
        while a:
            if a & 1:
                ret = ret * cur % MOD
            cur = cur * cur % MOD
            a >>= 1
        return ret

    def precompute_factorials(n, MOD):
        factorials = np.ones(n + 1, dtype=np.int64)
        for m in range(2, n + 1):
            factorials[m] = factorials[m - 1] * m % MOD
        inversions = np.ones(n + 1, dtype=np.int64)
        inversions[n] = mod_pow(factorials[n], MOD - 2, MOD)
        for m in range(n, 2, -1):
            inversions[m - 1] = inversions[m] * m % MOD
        return factorials, inversions

    def counter(arr):
        cnt = {0: 0}
        for a in arr:
            if a in cnt:
                cnt[a] += 1
            else:
                cnt[a] = 1
        if cnt[0] == 0:
            del cnt[0]
        return cnt

    n = inp[0]
    hhh = inp[1:]
    hhh_cnt = counter(hhh)

    same_heights = []
    max_pair_cnt = 0
    max_same_height = 0
    for c in hhh_cnt.values():
        if c <= 1:
            continue
        max_pair_cnt += c // 2
        max_same_height = max(max_same_height, c)
        same_heights.append(c)

    pairs = np.zeros(n + 1, np.int64)
    pairs[0] = 1
    for i in range(1, n + 1):
        pairs[i] = pairs[i - 1] * (i * 2 - 1) % MOD

    facts, finvs = precompute_factorials(max_same_height, MOD)

    same_heights.sort()
    pc = -1
    cmbs = [np.ones(1, np.int64)]
    q = [(1, 0)]
    for i, c in enumerate(same_heights):
        if pc == c:
            cmb = cmbs[-1].copy()
        else:
            cmb = np.zeros(c // 2 + 1, np.int64)
            for j in range(c // 2 + 1):
                cmb[j] = facts[c] * finvs[j * 2] % MOD * finvs[c - j * 2] % MOD * pairs[j] % MOD
            pc = c
        cmbs.append(cmb)
        q.append((cmb.size, i + 1))

    while len(q) > 1:
        _, i = heappop(q)
        _, j = heappop(q)
        cmbs[i] = convolution(cmbs[i], cmbs[j], MOD)
        heappush(q, (cmbs[i].size, i))

    result = cmbs[q[0][1]]

    ans = 0
    for i, v in enumerate(result):
        if i & 1:
            ans = (ans - v * pairs[n - i]) % MOD
        else:
            ans = (ans + v * pairs[n - i]) % MOD

    return ans


if sys.argv[-1] == 'ONLINE_JUDGE':
    from numba.pycc import CC

    cc = CC('my_module')
    cc.export('solve', '(i8[:],)')(solve)
    cc.compile()
    exit()

if os.name == 'posix':
    # noinspection PyUnresolvedReferences
    from my_module import solve
else:
    from numba import njit

    solve = njit('(i8[:],)', cache=True)(solve)
    print('compiled', file=sys.stderr)

inp = np.fromstring(sys.stdin.read(), dtype=np.int64, sep=' ')
ans = solve(inp)
print(ans)