結果

問題 No.1574 Swap and Repaint
ユーザー KoD
提出日時 2021-06-26 20:17:11
言語 C++17
(gcc 13.3.0 + boost 1.87.0)
結果
AC  
実行時間 4,249 ms / 10,000 ms
コード長 5,391 bytes
コンパイル時間 6,155 ms
コンパイル使用メモリ 241,368 KB
最終ジャッジ日時 2025-01-22 13:42:41
ジャッジサーバーID
(参考情報)
judge1 / judge3
このコードへのチャレンジ
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ファイルパターン 結果
sample AC * 3
other AC * 33
権限があれば一括ダウンロードができます

ソースコード

diff #
プレゼンテーションモードにする

#include <bits/stdc++.h>
#include <atcoder/convolution>
#include <atcoder/modint>
using i32 = std::int32_t;
using u32 = std::uint32_t;
using i64 = std::int64_t;
using u64 = std::uint64_t;
using i128 = __int128_t;
using u128 = __uint128_t;
using isize = std::ptrdiff_t;
using usize = std::size_t;
class rep {
struct Iter {
usize itr;
constexpr Iter(const usize pos) noexcept : itr(pos) {}
constexpr void operator++() noexcept { ++itr; }
constexpr bool operator!=(const Iter& other) const noexcept { return itr != other.itr; }
constexpr usize operator*() const noexcept { return itr; }
};
const Iter first, last;
public:
explicit constexpr rep(const usize first, const usize last) noexcept : first(first), last(std::max(first, last)) {}
constexpr Iter begin() const noexcept { return first; }
constexpr Iter end() const noexcept { return last; }
};
constexpr u64 ceil_log2(const u64 x) {
u64 e = 0;
while (((u64)1 << e) < x) ++e;
return e;
}
template <class F> class AutoReallocation {
using R = typename decltype(std::declval<F>()((usize)0))::value_type;
F func;
mutable std::vector<R> data;
public:
explicit AutoReallocation(F&& f) : func(std::forward<F>(f)), data() {}
void reserve(const usize size) const {
if (data.size() < size) data = func(((usize)1 << ceil_log2(size)));
}
R operator[](const usize i) const {
reserve(i + 1);
return data[i];
}
};
template <class F> decltype(auto) auto_realloc(F&& f) {
using G = std::decay_t<F>;
return AutoReallocation<G>(std::forward<G>(f));
}
template <class M> struct ModintUtil {
static inline const auto fact = auto_realloc([](const usize n) {
std::vector<M> ret(n);
ret[0] = M(1);
for (const usize i : rep(1, n)) {
ret[i] = ret[i - 1] * M(i);
}
return ret;
});
static inline const auto inv = auto_realloc([](const usize n) {
std::vector<M> ret(n);
if (n == 1) return ret;
ret[1] = M(1);
for (const usize i : rep(2, n)) {
ret[i] = -M(M::mod() / i) * ret[M::mod() % i];
}
return ret;
});
static inline const auto inv_fact = auto_realloc([](const usize n) {
std::vector<M> ret(n);
ret[0] = M(1);
for (const usize i : rep(1, n)) {
ret[i] = ret[i - 1] * inv[i];
}
return ret;
});
static M binom(const usize n, const usize k) {
assert(k <= n);
return fact[n] * inv_fact[n - k] * inv_fact[k];
}
static M factpow(const usize n, const usize k) {
assert(k <= n);
return fact[n] * inv_fact[n - k];
}
static M homo(const usize n, const usize k) {
if (n == 0 and k == 0) return M(1);
return binom(n + k - 1, k);
}
};
template <class T> using Vec = std::vector<T>;
using Fp = atcoder::modint998244353;
using Util = ModintUtil<Fp>;
const auto INV2 = Fp(1) / Fp(2);
void main_() {
usize N;
std::cin >> N;
Vec<Fp> A(N);
for (auto& x : A) {
u32 y;
std::cin >> y;
x = y;
}
Vec<Fp> C(N);
{
Vec<Fp> more(N);
for (const auto i : rep(0, N)) {
more[i] = Util::factpow(N - 1, (N - 1) - i);
}
Vec<Fp> pow2(2 * N);
pow2[0] = 1;
for (const auto i : rep(1, 2 * N)) {
pow2[i] = pow2[i - 1] * 2;
}
Fp sum;
for (const auto i : rep(0, N - 1)) {
sum += (more[i] - more[i + 1] * INV2) * pow2[2 * ((N - 1) - i) + i];
C[i] = sum;
}
for (const auto i : rep(0, N)) {
C[N - 1] += more[i] * pow2[2 * ((N - 1) - i) + i];
}
}
A.resize(2 * N);
C.resize(2 * N);
for (const auto i : rep(0, N)) {
A[2 * N - i - 1] = A[i];
C[2 * N - i - 1] = C[i];
}
const auto N2 = 2 * N;
std::reverse(C.begin(), C.end());
auto F = atcoder::convolution(A, C);
for (const auto i : rep(N2, F.size())) {
F[i - N2] += F[i];
}
F.resize(N2);
std::reverse(F.begin(), F.end());
const usize K = std::min(N2, (usize)(5 * std::sqrt(N)));
Vec<Vec<Fp>> D_base(K + 1);
D_base[0] = {Fp(1)};
for (const auto i : rep(1, K + 1)) {
D_base[i].resize(D_base[i - 1].size() + 2);
for (const auto j : rep(0, D_base[i - 1].size())) {
D_base[i][j] += D_base[i - 1][j];
D_base[i][j + 1] += D_base[i - 1][j] * Fp((isize)N - 3);
D_base[i][j + 2] += D_base[i - 1][j];
}
}
Vec<typename Vec<Fp>::const_iterator> D(K);
for (const auto i : rep(0, K)) {
D[i] = D_base[i].cbegin() + (D_base[i].size() / 2);
}
for (const auto i : rep(0, N + 1)) {
if (i % K == 0 and i != 0) {
const auto tmp = atcoder::convolution(F, D_base[K]);
F.assign(N2, 0);
for (const auto i : rep(0, tmp.size())) {
F[(i + N2 - K) % N2] += tmp[i];
}
}
Fp ans;
const isize width = i % K;
for (isize i = -width; i <= width; i += 1) {
ans += F[i < 0 ? i + N2 : i] * D[width][i];
}
std::cout << (ans * INV2).val() << '\n';
}
}
int main() {
std::ios_base::sync_with_stdio(false);
std::cin.tie(nullptr);
main_();
return 0;
}
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