結果
問題 | No.2303 Frog on Grid |
ユーザー | Shirotsume |
提出日時 | 2023-04-03 13:55:49 |
言語 | PyPy3 (7.3.15) |
結果 |
AC
|
実行時間 | 274 ms / 2,000 ms |
コード長 | 8,571 bytes |
コンパイル時間 | 331 ms |
コンパイル使用メモリ | 82,004 KB |
実行使用メモリ | 107,216 KB |
最終ジャッジ日時 | 2024-09-25 02:43:55 |
合計ジャッジ時間 | 5,372 ms |
ジャッジサーバーID (参考情報) |
judge1 / 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 | 94 ms
75,128 KB |
testcase_01 | AC | 93 ms
75,472 KB |
testcase_02 | AC | 262 ms
103,208 KB |
testcase_03 | AC | 196 ms
95,292 KB |
testcase_04 | AC | 259 ms
103,136 KB |
testcase_05 | AC | 261 ms
103,600 KB |
testcase_06 | AC | 196 ms
95,476 KB |
testcase_07 | AC | 261 ms
102,692 KB |
testcase_08 | AC | 260 ms
102,672 KB |
testcase_09 | AC | 165 ms
93,024 KB |
testcase_10 | AC | 196 ms
95,156 KB |
testcase_11 | AC | 164 ms
93,080 KB |
testcase_12 | AC | 190 ms
96,304 KB |
testcase_13 | AC | 96 ms
74,348 KB |
testcase_14 | AC | 95 ms
74,288 KB |
testcase_15 | AC | 94 ms
74,488 KB |
testcase_16 | AC | 92 ms
74,696 KB |
testcase_17 | AC | 92 ms
73,652 KB |
testcase_18 | AC | 263 ms
107,204 KB |
testcase_19 | AC | 267 ms
107,168 KB |
testcase_20 | AC | 274 ms
107,144 KB |
testcase_21 | AC | 265 ms
107,132 KB |
testcase_22 | AC | 266 ms
107,216 KB |
ソースコード
""" Reference https://github.com/atcoder/ac-library/blob/master/atcoder/convolution.hpp https://github.com/atcoder/ac-library/blob/master/atcoder/internal_math.hpp https://github.com/atcoder/ac-library/blob/master/document_en/convolution.md https://github.com/atcoder/ac-library/blob/master/document_ja/convolution.md """ mod = 998244353 def 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 = [0] * 20 divs[0] = 2 cnt = 1 x = (m - 1) // 2 while x % 2 == 0: x //= 2 i = 3 while i * i <= x: if x % i == 0: divs[cnt] = i cnt += 1 while x % i == 0: x //= i i += 2 if x > 1: divs[cnt] = x cnt += 1 g = 2 while True: ok = True for i in range(cnt): if pow(g, (m - 1) // divs[i], m) == 1: ok = False break if ok: return g g += 1 class FFT_INFO: def __init__(self): self.g = primitive_root(mod) self.rank2 = ((mod - 1) & (1 - mod)).bit_length() - 1 self.root = [0] * (self.rank2 + 1) self.root[self.rank2] = pow(self.g, (mod - 1) >> self.rank2, mod) self.iroot = [0] * (self.rank2 + 1) self.iroot[self.rank2] = pow(self.root[self.rank2], mod - 2, mod) for i in range(self.rank2 - 1, -1, -1): self.root[i] = self.root[i + 1] * self.root[i + 1] % mod self.iroot[i] = self.iroot[i + 1] * self.iroot[i + 1] % mod self.rate2 = [0] * max(0, self.rank2 - 1) self.irate2 = [0] * max(0, self.rank2 - 1) prod = 1 iprod = 1 for i in range(self.rank2 - 1): self.rate2[i] = self.root[i + 2] * prod % mod self.irate2[i] = self.iroot[i + 2] * iprod % mod prod *= self.iroot[i + 2] prod %= mod iprod *= self.root[i + 2] iprod %= mod self.rate3 = [0] * max(0, self.rank2 - 2) self.irate3 = [0] * max(0, self.rank2 - 2) prod = 1 iprod = 1 for i in range(self.rank2 - 2): self.rate3[i] = self.root[i + 3] * prod % mod self.irate3[i] = self.iroot[i + 3] * iprod % mod prod *= self.iroot[i + 3] prod %= mod iprod *= self.root[i + 3] iprod %= mod info = FFT_INFO() def butterfly(a): n = len(a) h = (n - 1).bit_length() length = 0 while length < h: if h - length == 1: p = 1 << (h - length - 1) rot = 1 for s in range(1 << length): offset = s << (h - length) for i in range(p): l = a[i + offset] r = a[i + offset + p] * rot % mod a[i + offset] = (l + r) % mod a[i + offset + p] = (l - r) % mod if s + 1 != (1 << length): rot *= info.rate2[(~s & -~s).bit_length() - 1] rot %= mod length += 1 else: # 4-base p = 1 << (h - length - 2) rot = 1 imag = info.root[2] for s in range(1 << length): rot2 = rot * rot % mod rot3 = rot2 * rot % mod offset = s << (h - length) for i in range(p): a0 = a[i + offset] a1 = a[i + offset + p] * rot a2 = a[i + offset + 2 * p] * rot2 a3 = a[i + offset + 3 * p] * 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 + 2 * p] = (a0 - a2 + a1na3imag) % mod a[i + offset + 3 * p] = (a0 - a2 - a1na3imag) % mod if s + 1 != (1 << length): rot *= info.rate3[(~s & -~s).bit_length() - 1] rot %= mod length += 2 def butterfly_inv(a): n = len(a) h = (n - 1).bit_length() length = h # a[i, i+(n<<length), i+2*(n>>length), ...] is transformed while length: if length == 1: p = 1 << (h - length) irot = 1 for s in range(1 << (length - 1)): offset = s << (h - length + 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 if s + 1 != (1 << (length - 1)): irot *= info.irate2[(~s & -~s).bit_length() - 1] irot %= mod length -= 1 else: # 4-base p = 1 << (h - length) irot = 1 iimag = info.iroot[2] for s in range(1 << (length - 2)): irot2 = irot * irot % mod irot3 = irot2 * irot % mod offset = s << (h - length + 2) for i in range(p): a0 = a[i + offset] a1 = a[i + offset + p] a2 = a[i + offset + 2 * p] a3 = a[i + offset + 3 * p] 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 + 2 * p] = (a0 + a1 - a2 - a3) * irot2 % mod a[i + offset + 3 * p] = (a0 - a1 - a2na3iimag) * irot3 % mod if s + 1 != (1 << (length - 2)): irot *= info.irate3[(~s & -~s).bit_length() - 1] irot %= mod length -= 2 def convolution_naive(a, b): n = len(a) m = len(b) ans = [0] * (n + m - 1) if n < m: for j in range(m): for i in range(n): ans[i + j] += a[i] * b[j] ans[i + j] %= mod else: for i in range(n): for j in range(m): ans[i + j] += a[i] * b[j] ans[i + j] %= mod return ans def convolution_fft(a, b): a = a.copy() b = b.copy() n = len(a) m = len(b) z = 1 << (n + m - 2).bit_length() a += [0] * (z - n) butterfly(a) b += [0] * (z - m) 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) for i in range(n + m - 1): a[i] *= iz a[i] %= mod return a def convolution(a, b): n = len(a) m = len(b) if not n or not m: return [] if min(n, m) <= 60: return convolution_naive(a, b) return convolution_fft(a, b) class Combinatorics(): def __init__(self, mod, maxi): self.mod = mod self.maxi = maxi self.facs = [1] * (maxi + 1) self.factinvs = [1] * (maxi + 1) self.invs = [1] * (maxi + 1) for i in range(2, self.maxi + 1): self.facs[i] = ((self.facs[i-1] * i) % self.mod) self.invs[i] = (-self.invs[self.mod % i] * (self.mod // i)) % self.mod self.factinvs[i] = (self.factinvs[i-1] * self.invs[i]) % self.mod def choose(self, n, k) -> int: if k < 0 or k > n: return 0 if k == 0 or k == n: return 1 k = min(k, n - k) return (((self.facs[n] * self.factinvs[k]) % self.mod) * self.factinvs[n-k]) % self.mod def perm(self, n, k) -> int: return (self.choose(n, k) * self.facs[k]) % self.mod def homop(self, n, k) -> int: if n == k == 0: return 1 return self.choose(n + k - 1, k) import sys from collections import deque, Counter input = lambda: sys.stdin.readline().rstrip() ii = lambda: int(input()) mi = lambda: map(int, input().split()) li = lambda: list(mi()) inf = 2 ** 63 - 1 mod = 998244353 C = Combinatorics(mod, 5 * 10 ** 5) h, w = mi() H = [0] * (h + 1) W = [0] * (w + 1) for i in range(h // 2 + 1): H[h - i] = (C.factinvs[i] * C.factinvs[h - 2 * i] % mod) for i in range(w // 2 + 1): W[w - i] = (C.factinvs[i] * C.factinvs[w - 2 * i] % mod) F = convolution(H, W) ans = 0 for i in range(len(F)): ans += C.facs[i] * F[i] ans %= mod print(ans)