結果
問題 | No.1302 Random Tree Score |
ユーザー | zkou |
提出日時 | 2020-11-27 23:11:12 |
言語 | PyPy3 (7.3.15) |
結果 |
AC
|
実行時間 | 2,457 ms / 3,000 ms |
コード長 | 4,058 bytes |
コンパイル時間 | 490 ms |
コンパイル使用メモリ | 82,312 KB |
実行使用メモリ | 263,084 KB |
最終ジャッジ日時 | 2024-07-26 19:31:48 |
合計ジャッジ時間 | 20,445 ms |
ジャッジサーバーID (参考情報) |
judge2 / judge1 |
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テストケース
テストケース表示入力 | 結果 | 実行時間 実行使用メモリ |
---|---|---|
testcase_00 | AC | 51 ms
69,116 KB |
testcase_01 | AC | 51 ms
68,988 KB |
testcase_02 | AC | 556 ms
116,988 KB |
testcase_03 | AC | 1,273 ms
173,684 KB |
testcase_04 | AC | 526 ms
114,812 KB |
testcase_05 | AC | 2,205 ms
263,084 KB |
testcase_06 | AC | 1,659 ms
220,720 KB |
testcase_07 | AC | 496 ms
112,184 KB |
testcase_08 | AC | 1,376 ms
187,984 KB |
testcase_09 | AC | 1,990 ms
224,288 KB |
testcase_10 | AC | 1,776 ms
228,392 KB |
testcase_11 | AC | 408 ms
101,564 KB |
testcase_12 | AC | 2,033 ms
255,700 KB |
testcase_13 | AC | 49 ms
67,840 KB |
testcase_14 | AC | 2,001 ms
216,916 KB |
testcase_15 | AC | 2,457 ms
251,296 KB |
testcase_16 | AC | 49 ms
67,968 KB |
ソースコード
# TODO 高速化 # FIXME 非破壊的にする # 変数をグローバル変数におけないので998244353に特化させる。 # 衝突しにくそうな名前で... _fft_mod = 998244353 _fft_sum_e = [911660635, 509520358, 369330050, 332049552, 983190778, 123842337, 238493703, 975955924, 603855026, 856644456, 131300601, 842657263, 730768835, 942482514, 806263778, 151565301, 510815449, 503497456, 743006876, 741047443, 56250497, 0, 0, 0, 0, 0, 0, 0, 0, 0] _fft_sum_ie = [86583718, 372528824, 373294451, 645684063, 112220581, 692852209, 155456985, 797128860, 90816748, 860285882, 927414960, 354738543, 109331171, 293255632, 535113200, 308540755, 121186627, 608385704, 438932459, 359477183, 824071951, 0, 0, 0, 0, 0, 0, 0, 0, 0] def butterfly_998244353(a): n = len(a) h = (n - 1).bit_length() 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 = a[i + offset] r = a[i + offset + p] * now a[i + offset] = (l + r) % _fft_mod a[i + offset + p] = (l - r) % _fft_mod now *= _fft_sum_e[(~s & -~s).bit_length() - 1] now %= _fft_mod def butterfly_inv_998244353(a): n = len(a) h = (n - 1).bit_length() 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 = a[i + offset] r = a[i + offset + p] a[i + offset] = (l + r) % _fft_mod a[i + offset + p] = (l - r) * inow % _fft_mod inow *= _fft_sum_ie[(~s & -~s).bit_length() - 1] inow %= _fft_mod def convolution_square_998244353(a): n = len(a) if n == 0: return [] if n <= 60: ans = [0] * (n * 2 - 1) for i in range(n): for j in range(n): ans[i + j] += a[i] * a[j] ans[i + j] %= _fft_mod return ans z = 1 << (n * 2 - 2).bit_length() a += [0] * (z - n) butterfly_998244353(a) c = [x * x % _fft_mod for x in a] butterfly_inv_998244353(c) c = c[:n * 2 - 1] iz = pow(z, _fft_mod - 2, _fft_mod) for i in range(n * 2 - 1): c[i] *= iz c[i] %= _fft_mod return c def convolution_998244353(a, b): if a is b: return convolution_square_998244353(a) n = len(a) m = len(b) if n == 0 or m == 0: return [] if min(n, m) <= 60: if n < m: # 逆の方が速いかも?(オーバーヘッドの関係) n, m = m, n a, b = b, a ans = [0] * (n + m - 1) for i in range(n): for j in range(m): ans[i + j] += a[i] * b[j] ans[i + j] %= _fft_mod return ans z = 1 << (n + m - 2).bit_length() a += [0] * (z - n) b += [0] * (z - m) butterfly_998244353(a) butterfly_998244353(b) c = [x * y % _fft_mod for x, y in zip(a, b)] butterfly_inv_998244353(c) c = c[:n + m - 1] iz = pow(z, _fft_mod - 2, _fft_mod) for i in range(n + m - 1): c[i] *= iz c[i] %= _fft_mod return c import sys input = sys.stdin.readline MOD = 998244353 table_len = 10 ** 5 + 10 fac = [1, 1] for i in range(2, table_len): fac.append(fac[-1] * i % MOD) finv = [0] * table_len finv[-1] = pow(fac[-1], MOD - 2, MOD) for i in range(table_len-1, 0, -1): finv[i - 1] = finv[i] * i % MOD N = int(input()) f = [(i + 1) * finv[i] % MOD for i in range(N)] ans = [0] * N ans[0] = 1 first = True for d in (format(N, 'b')): if first: first = False else: ans = convolution_square_998244353(ans)[:N] # print(len(ans)) # ans = ans[:N] if d == '1': ans = convolution_998244353(ans, f.copy())[:N] print(ans[N - 2] * fac[N - 2] % MOD * pow(N, MOD - N + 1, MOD) % MOD) # print(ans)