結果
問題 | No.2084 Mex Subset For All Sequences |
ユーザー | taiga0629kyopro |
提出日時 | 2022-09-08 21:29:17 |
言語 | PyPy3 (7.3.15) |
結果 |
AC
|
実行時間 | 220 ms / 2,000 ms |
コード長 | 5,872 bytes |
コンパイル時間 | 335 ms |
コンパイル使用メモリ | 82,432 KB |
実行使用メモリ | 90,908 KB |
最終ジャッジ日時 | 2024-12-22 01:00:53 |
合計ジャッジ時間 | 5,558 ms |
ジャッジサーバーID (参考情報) |
judge2 / judge5 |
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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 | 60 ms
64,384 KB |
testcase_01 | AC | 59 ms
64,256 KB |
testcase_02 | AC | 62 ms
64,896 KB |
testcase_03 | AC | 61 ms
65,280 KB |
testcase_04 | AC | 61 ms
65,280 KB |
testcase_05 | AC | 62 ms
65,024 KB |
testcase_06 | AC | 64 ms
65,152 KB |
testcase_07 | AC | 62 ms
65,408 KB |
testcase_08 | AC | 136 ms
83,840 KB |
testcase_09 | AC | 159 ms
85,596 KB |
testcase_10 | AC | 206 ms
89,984 KB |
testcase_11 | AC | 118 ms
82,304 KB |
testcase_12 | AC | 131 ms
83,456 KB |
testcase_13 | AC | 129 ms
83,328 KB |
testcase_14 | AC | 119 ms
82,304 KB |
testcase_15 | AC | 204 ms
90,240 KB |
testcase_16 | AC | 203 ms
89,984 KB |
testcase_17 | AC | 163 ms
86,216 KB |
testcase_18 | AC | 211 ms
90,528 KB |
testcase_19 | AC | 212 ms
90,524 KB |
testcase_20 | AC | 212 ms
90,656 KB |
testcase_21 | AC | 210 ms
90,520 KB |
testcase_22 | AC | 213 ms
90,648 KB |
testcase_23 | AC | 206 ms
90,780 KB |
testcase_24 | AC | 214 ms
90,532 KB |
testcase_25 | AC | 213 ms
90,908 KB |
testcase_26 | AC | 210 ms
90,660 KB |
testcase_27 | AC | 220 ms
90,792 KB |
ソースコード
# AtCoder Libary v1.4 を python に移植したもの # https://github.com/atcoder/ac-library/blob/master/atcoder/convolution.hpp #https://judge.yosupo.jp/submission/55648 MOD = 998244353 IMAG = 911660635 IIMAG = 86583718 rate2 = (0, 911660635, 509520358, 369330050, 332049552, 983190778, 123842337, 238493703, 975955924, 603855026, 856644456, 131300601, 842657263, 730768835, 942482514, 806263778, 151565301, 510815449, 503497456, 743006876, 741047443, 56250497, 867605899, 0) irate2 = (0, 86583718, 372528824, 373294451, 645684063, 112220581, 692852209, 155456985, 797128860, 90816748, 860285882, 927414960, 354738543, 109331171, 293255632, 535113200, 308540755, 121186627, 608385704, 438932459, 359477183, 824071951, 103369235, 0) rate3 = (0, 372528824, 337190230, 454590761, 816400692, 578227951, 180142363, 83780245, 6597683, 70046822, 623238099, 183021267, 402682409, 631680428, 344509872, 689220186, 365017329, 774342554, 729444058, 102986190, 128751033, 395565204, 0) irate3 = (0, 509520358, 929031873, 170256584, 839780419, 282974284, 395914482, 444904435, 72135471, 638914820, 66769500, 771127074, 985925487, 262319669, 262341272, 625870173, 768022760, 859816005, 914661783, 430819711, 272774365, 530924681, 0) def butterfly(a): n = len(a) h = (n - 1).bit_length() le = 0 while le < h: if h - le == 1: p = 1 << (h - le - 1) rot = 1 for s in range(1 << le): offset = s << (h - le) for i in range(p): l = a[i + offset] r = a[i + offset + p] * rot a[i + offset] = (l + r) % MOD a[i + offset + p] = (l - r) % MOD rot *= rate2[(~s & -~s).bit_length()] rot %= MOD le += 1 else: p = 1 << (h - le - 2) rot = 1 for s in range(1 << le): rot2 = rot * rot % MOD rot3 = rot2 * rot % MOD offset = s << (h - le) for i in range(p): a0 = a[i + offset] a1 = a[i + offset + p] * rot a2 = a[i + offset + p * 2] * rot2 a3 = a[i + offset + p * 3] * rot3 a1na3imag = (a1 - a3) % MOD * IMAG a[i + offset] = (a0 + a2 + a1 + a3) % MOD a[i + offset + p] = (a0 + a2 - a1 - a3) % MOD a[i + offset + p * 2] = (a0 - a2 + a1na3imag) % MOD a[i + offset + p * 3] = (a0 - a2 - a1na3imag) % MOD rot *= rate3[(~s & -~s).bit_length()] rot %= MOD le += 2 def butterfly_inv(a): n = len(a) h = (n - 1).bit_length() le = h while le: if le == 1: p = 1 << (h - le) irot = 1 for s in range(1 << (le - 1)): offset = s << (h - le + 1) for i in range(p): l = a[i + offset] r = a[i + offset + p] a[i + offset] = (l + r) % MOD a[i + offset + p] = (l - r) * irot % MOD irot *= irate2[(~s & -~s).bit_length()] irot %= MOD le -= 1 else: p = 1 << (h - le) irot = 1 for s in range(1 << (le - 2)): irot2 = irot * irot % MOD irot3 = irot2 * irot % MOD offset = s << (h - le + 2) for i in range(p): a0 = a[i + offset] a1 = a[i + offset + p] a2 = a[i + offset + p * 2] a3 = a[i + offset + p * 3] a2na3iimag = (a2 - a3) * IIMAG % MOD a[i + offset] = (a0 + a1 + a2 + a3) % MOD a[i + offset + p] = (a0 - a1 + a2na3iimag) * irot % MOD a[i + offset + p * 2] = (a0 + a1 - a2 - a3) * irot2 % MOD a[i + offset + p * 3] = (a0 - a1 - a2na3iimag) * irot3 % MOD irot *= irate3[(~s & -~s).bit_length()] irot %= MOD le -= 2 def multiply(s, t): n = len(s) m = len(t) if min(n, m) <= 60: a = [0] * (n + m - 1) for i in range(n): if i % 8 == 0: for j in range(m): a[i + j] += s[i] * t[j] a[i + j] %= MOD else: for j in range(m): a[i + j] += s[i] * t[j] return [x % MOD for x in a] a = s.copy() b = t.copy() z = 1 << (n + m - 2).bit_length() a += [0] * (z - n) b += [0] * (z - m) butterfly(a) butterfly(b) for i in range(z): a[i] *= b[i] a[i] %= MOD butterfly_inv(a) a = a[:n + m - 1] iz = pow(z, MOD - 2, MOD) return [v * iz % MOD for v in a] ############################# ############# cnb_max=3*10**5 mod=998244353 ############# kai=[1]*(cnb_max+1) rkai=[1]*(cnb_max+1) for i in range(cnb_max): kai[i+1]=kai[i]*(i+1)%mod rkai[cnb_max]=pow(kai[cnb_max],mod-2,mod) for i in range(cnb_max): rkai[cnb_max-1-i]=rkai[cnb_max-i]*(cnb_max-i)%mod def cnb(x,y): if y>x: return 0 if x<0:return 0 if y<0:return 0 return (kai[x]*rkai[y]%mod)*rkai[x-y]%mod def inv(n): return kai[n-1]*rkai[n]%mod ################################## def sol(N,M): fx=[0]*(M+3) gx=[0]*(M+3) for j in range(M+2): fx[j]=pow(2*M-j,N,mod)*pow(-1,j%2,mod)%mod fx[j]*=rkai[j] fx[j]%=mod gx[j]=rkai[j] fg=multiply(fx,gx) F=[0]*(M+5) F[-1]=(pow(2,N,mod)-1)*pow(M,N,mod)%mod for Q in range(M): F[Q]=fg[Q+1]*kai[Q+1]%mod F[Q]%=mod ans=0 for P in range(M+1): ans+=P*(F[P-1]-F[P]) ans%=mod return ans def naiveMS(N,A): #Mex Subset naive ans=0 for bit in range(1,2**N): s=set() for i in range(N): if (bit>>i)&1:s.add(A[i]) mex=-1 for x in range(10**9): if x not in s: mex=x break ans+=mex return ans%mod def naive(N,M): ans = 0 AS = [] def dfs(A): if len(A) == N: AS.append(A[:]) return for x in range(M): A.append(x) dfs(A) A.pop() dfs([]) for A in AS: ans += naiveMS(N,A) return ans % mod N,M=map(int,input().split()) print(sol(N,M))