test/online_convolution_inv.test.cpp

test/online_convolution_inv.test.cpp · GitHub で見る

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#define PROBLEM "https://judge.yosupo.jp/problem/inv_of_formal_power_series"
#include "../convolution/online_convolution.hpp"
#include "../components/fast_io.hpp"
#include <vector>

int main() {
	FastInput in;
	FastOutput out;
	int n;
	if (!in.read(n)) return 0;
	std::vector<mint> a(n);
	unsigned x = 0;
	for (auto &v : a) { in.read(x); v = mint::raw(x); }
	mint scale = a[0].inv(), value = scale;
	OnlineConvolution queue(n);
	for (int i = 0; i < n; ++i) {
		if (i) out.write(' ');
		out.write(value.val());
		if (i + 1 < n) value = -queue.push(a[i + 1], value) * scale;
	}
	out.write('\n');
}

#line 1 "test/online_convolution_inv.test.cpp"
#define PROBLEM "https://judge.yosupo.jp/problem/inv_of_formal_power_series"
#line 1 "convolution/online_convolution.hpp"



#line 1 "components/ntt.hpp"



#include <algorithm>
#include <cassert>
#include <cstddef>
#include <initializer_list>
#include <memory>
#include <new>
#include <type_traits>
#include <utility>
#include <vector>

#line 1 "components/mint_arithmetic.hpp"



#line 1 "math/mint.hpp"


#line 4 "math/mint.hpp"
#include <istream>
#include <ostream>
#line 7 "math/mint.hpp"

#if defined(__GNUC__) && !defined(__clang__) && (defined(__x86_64__) || defined(__i386__))
#pragma GCC push_options
#pragma GCC optimize("O3")
#endif

namespace mint_detail {
template <class I>
constexpr bool mint_integral = std::is_integral_v<I>
#if defined(__SIZEOF_INT128__)
							   || std::is_same_v<I, __int128> || std::is_same_v<I, unsigned __int128>
#endif
	;
struct [[gnu::warn_unused]] Mint {
	using mint = Mint;
	unsigned v = 0;
	[[nodiscard]] static constexpr unsigned mod() { return 998244353; }
	[[nodiscard, gnu::always_inline]] static unsigned reduce(unsigned long long x) {
		return (x + (unsigned long long)(unsigned(x) * 998244351u) * mod()) >> 32;
	}
	[[gnu::always_inline]] Mint() = default;
	template <class I, std::enable_if_t<mint_integral<I>, int> = 0>
	Mint(I x) {
		long long r = x % (long long)mod();
		if (r < 0) r += mod();
		v = reduce((unsigned long long)r * 932051910);
	}
	[[nodiscard, gnu::always_inline]] static Mint raw(unsigned x) {
		Mint a;
		a.v = reduce((unsigned long long)x * 932051910);
		return a;
	}
	[[nodiscard, gnu::always_inline]] static Mint word(unsigned x) {
		Mint a;
		a.v = x;
		return a;
	}
	[[nodiscard, gnu::always_inline]] unsigned val() const {
		unsigned r = reduce(v);
		return r < mod() ? r : r - mod();
	}
	friend std::istream &operator>>(std::istream &is, Mint &x) {
		long long value;
		if (is >> value) x = Mint(value);
		return is;
	}
	friend std::ostream &operator<<(std::ostream &os, const Mint &x) {
		return os << x.val();
	}
	[[gnu::always_inline]] Mint &operator+=(Mint b) {
		v += b.v;
		if (v >= 2 * mod()) v -= 2 * mod();
		return *this;
	}
	[[gnu::always_inline]] Mint &operator-=(Mint b) {
		v -= b.v;
		if (v >> 31) v += 2 * mod();
		return *this;
	}
	[[gnu::always_inline]] Mint &operator*=(Mint b) {
		v = reduce((unsigned long long)v * b.v);
		return *this;
	}
	Mint &operator/=(Mint b) { return *this *= b.inv(); }
	Mint &operator++() { return *this += Mint(1); }
	Mint &operator--() { return *this -= Mint(1); }
	Mint operator++(int) {
		Mint a = *this;
		++*this;
		return a;
	}
	Mint operator--(int) {
		Mint a = *this;
		--*this;
		return a;
	}
	[[nodiscard, gnu::always_inline]] Mint operator+() const { return *this; }
	[[nodiscard, gnu::always_inline]] Mint operator-() const { return word(v ? 2 * mod() - v : 0); }
	[[nodiscard, gnu::always_inline]] Mint operator+(Mint b) const { return Mint(*this) += b; }
	[[nodiscard, gnu::always_inline]] Mint operator-(Mint b) const { return Mint(*this) -= b; }
	[[nodiscard, gnu::always_inline]] Mint operator*(Mint b) const { return Mint(*this) *= b; }
	[[nodiscard]] Mint operator/(Mint b) const { return Mint(*this) /= b; }
	[[nodiscard, gnu::always_inline]] bool operator==(Mint b) const { return (v < mod() ? v : v - mod()) == (b.v < mod() ? b.v : b.v - mod()); }
	[[nodiscard, gnu::always_inline]] bool operator!=(Mint b) const { return !(*this == b); }
	template <class I, std::enable_if_t<mint_integral<I>, int> = 0>
	[[nodiscard]] friend Mint operator+(I a, Mint b) { return Mint(a) + b; }
	template <class I, std::enable_if_t<mint_integral<I>, int> = 0>
	[[nodiscard]] friend Mint operator-(I a, Mint b) { return Mint(a) - b; }
	template <class I, std::enable_if_t<mint_integral<I>, int> = 0>
	[[nodiscard]] friend Mint operator*(I a, Mint b) { return Mint(a) * b; }
	template <class I, std::enable_if_t<mint_integral<I>, int> = 0>
	[[nodiscard]] friend Mint operator/(I a, Mint b) { return Mint(a) / b; }
	template <class I, std::enable_if_t<mint_integral<I>, int> = 0>
	[[nodiscard]] friend bool operator==(I a, Mint b) { return Mint(a) == b; }
	template <class I, std::enable_if_t<mint_integral<I>, int> = 0>
	[[nodiscard]] friend bool operator!=(I a, Mint b) { return Mint(a) != b; }
	[[nodiscard]] Mint pow(long long n) const {
		assert(n >= 0);
		if (!n) return Mint(1);
		Mint r(1), a = *this;
		for (; n > 1; n >>= 1, a *= a)
			if (n & 1) r *= a;
		return r * a;
	}
	[[nodiscard, gnu::noinline]] Mint inv() const {
		assert(*this != Mint(0));
		Mint a2 = *this * *this, a3 = a2 * *this;
		Mint a7 = a3 * a3 * *this;
		Mint a31 = a7;
		for (int i = 0; i < 2; ++i) a31 *= a31;
		a31 *= a3;
		Mint r = a7;
		for (int i = 0; i < 3; ++i) r *= r;
		r *= a3;
		r *= r;
		for (int j = 0; j < 4; ++j) {
			for (int i = 0; i < 5; ++i) r *= r;
			r *= a31;
		}
		for (int i = 0; i < 3; ++i) r *= r;
		return r * a7;
	}
};
} // namespace mint_detail

using mint = mint_detail::Mint;
using fps_mint = mint;

#if defined(__GNUC__) && !defined(__clang__) && (defined(__x86_64__) || defined(__i386__))
#pragma GCC pop_options
#endif


#line 5 "components/mint_arithmetic.hpp"
#if defined(__x86_64__) || defined(__i386__)
#include <immintrin.h>
#endif

#if defined(__GNUC__) && !defined(__clang__) && (defined(__x86_64__) || defined(__i386__))
#pragma GCC push_options
#pragma GCC optimize("O3")
#endif

namespace mint_detail {
struct Ops {
	using T = mint;
	typedef unsigned int U __attribute__((may_alias));
	static constexpr U mod = 998244353, twice = 2 * mod, one = 301989884;
	static U reduce(unsigned long long x) { return T::reduce(x); }
	static U mul(U a, U b) { return reduce((unsigned long long)a * b); }
	static U add(U a, U b) {
		U c = a + b;
		return c < twice ? c : c - twice;
	}
	static U sub(U a, U b) {
		U c = a - b;
		return c < twice ? c : c + twice;
	}
	static U in(U a) { return mul(a, 932051910); }
	static U out(U a) {
		a = reduce(a);
		return a < mod ? a : a - mod;
	}
	static U quotient(U r) { return ((unsigned long long)r << 32) / mod; }
	static U fixed_mul(U a, U r, U q) {
		return a * r - U(((unsigned long long)a * q) >> 32) * mod;
	}

#if defined(__x86_64__) || defined(__i386__)
	static bool vectorized() {
#if defined(__AVX2__)
		return true;
#else
		static const bool available = __builtin_cpu_supports("avx2");
		return available;
#endif
	}
	using I8 = __m256i;
	__attribute__((target("avx2"))) static I8 load8(const U *a) {
		return _mm256_loadu_si256(reinterpret_cast<const I8 *>(a));
	}
	__attribute__((target("avx2"))) static void store8(U *a, I8 x) {
		_mm256_storeu_si256(reinterpret_cast<I8 *>(a), x);
	}
	__attribute__((target("avx2"), always_inline)) static inline I8 reduce8(I8 x, I8 y) {
		I8 r = _mm256_set1_epi32(998244351), p = _mm256_set1_epi32(mod);
		x = _mm256_add_epi64(x, _mm256_mul_epu32(_mm256_mul_epu32(x, r), p));
		y = _mm256_add_epi64(y, _mm256_mul_epu32(_mm256_mul_epu32(y, r), p));
		return _mm256_blend_epi32(_mm256_srli_epi64(x, 32), y, 0xaa);
	}
	__attribute__((target("avx2"))) static I8 mul8(I8 a, I8 b) {
		return reduce8(_mm256_mul_epu32(a, b), _mm256_mul_epu32(_mm256_srli_epi64(a, 32), _mm256_srli_epi64(b, 32)));
	}
	__attribute__((target("avx2"))) static I8 fixed_mul8(I8 a, I8 r, I8 q) {
		I8 x = _mm256_srli_epi64(_mm256_mul_epu32(a, q), 32);
		I8 y = _mm256_mul_epu32(_mm256_srli_epi64(a, 32), q);
		I8 t = _mm256_blend_epi32(x, y, 0xaa);
		return _mm256_sub_epi32(_mm256_mullo_epi32(a, r),
								_mm256_mullo_epi32(t, _mm256_set1_epi32(mod)));
	}
	__attribute__((target("avx2"))) static I8 fixed_even8(I8 a, I8 r, I8 q) {
		I8 t = _mm256_srli_epi64(_mm256_mul_epu32(a, q), 32);
		return _mm256_sub_epi64(_mm256_mul_epu32(a, r),
								_mm256_mul_epu32(t, _mm256_set1_epi32(mod)));
	}
	__attribute__((target("avx2"))) static I8 add8(I8 a, I8 b) {
		I8 x = _mm256_add_epi32(a, b);
		return _mm256_min_epu32(x, _mm256_sub_epi32(x, _mm256_set1_epi32(twice)));
	}
	__attribute__((target("avx2"))) static I8 sub8(I8 a, I8 b) {
		I8 x = _mm256_sub_epi32(a, b);
		return _mm256_min_epu32(x, _mm256_add_epi32(x, _mm256_set1_epi32(twice)));
	}

#endif
};
}

#if defined(__GNUC__) && !defined(__clang__) && (defined(__x86_64__) || defined(__i386__))
#pragma GCC pop_options
#endif


#line 15 "components/ntt.hpp"

#if defined(__GNUC__) && !defined(__clang__) && (defined(__x86_64__) || defined(__i386__))
#pragma GCC push_options
#pragma GCC optimize("O3")
#endif

namespace fps_detail {
struct NTT : mint_detail::Ops {
	using V = std::vector<unsigned int>;
	V roots, inverse_roots;
	V root_quotients, inverse_root_quotients;
	mutable V cube_roots, inverse_cube_roots, cube_quotients, inverse_cube_quotients;
	void prepare_cubes(int n) const {
		int begin = cube_roots.size();
		if (begin >= n) return;
		cube_roots.resize(n);
		inverse_cube_roots.resize(n);
		cube_quotients.resize(n);
		inverse_cube_quotients.resize(n);
		for (int k = begin; k < n; ++k) {
			U x = (unsigned long long)roots[k] * roots[2 * k] % mod;
			U y = (unsigned long long)inverse_roots[k] * inverse_roots[2 * k] % mod;
			cube_roots[k] = x;
			inverse_cube_roots[k] = y;
			cube_quotients[k] = quotient(x);
			inverse_cube_quotients[k] = quotient(y);
		}
	}
	NTT(int size, [[maybe_unused]] bool composition = true)
		: roots(size, one),
		  inverse_roots(size, one),
		  root_quotients(size),
		  inverse_root_quotients(size) {
		for (int h = 1; h < size; h <<= 1) {
			U r = in(T(3).pow((mod - 1) / (4 * h)).val());
			U ir = in(T(3).pow(mod - 1 - (mod - 1) / (4 * h)).val());
			for (int i = 0; i < h; ++i) {
				roots[h + i] = mul(roots[i], r);
				inverse_roots[h + i] = mul(inverse_roots[i], ir);
			}
		}
		for (int i = 0; i < size; ++i) {
			root_quotients[i] = (roots[i] < mod ? roots[i] : roots[i] - mod) * 998244351u;
			inverse_root_quotients[i] = (inverse_roots[i] < mod ? inverse_roots[i] : inverse_roots[i] - mod) * 998244351u;
			roots[i] = out(roots[i]);
			inverse_roots[i] = out(inverse_roots[i]);
		}
	}

#if defined(__x86_64__) || defined(__i386__)

	template <int stride>
	__attribute__((target("avx2"))) static I8 rates8(const V &values, int k) {
		if constexpr (stride == 1)
			return _mm256_cvtepu32_epi64(
				_mm_loadu_si128(reinterpret_cast<const __m128i *>(values.data() + 4 * k)));
		if constexpr (stride == 2)
			return _mm256_permute4x64_epi64(
				_mm256_cvtepu32_epi64(
					_mm_loadl_epi64(reinterpret_cast<const __m128i *>(values.data() + 2 * k))),
				0x50);
		if constexpr (stride == 4) return _mm256_set1_epi32(values[k]);
	}
	template <int stride, bool inverse>
	__attribute__((target("avx2"))) I8 small8(I8 z, int k) const {
		if constexpr (stride == 4) {
			if (k == 0) {
				I8 x = _mm256_permute2x128_si256(z, z, 0x00),
				   y = _mm256_permute2x128_si256(z, z, 0x11);
				return _mm256_blend_epi32(add8(x, y), sub8(x, y), 0xf0);
			}
		}
		const V &w = inverse ? inverse_roots : roots;
		const V &quot = inverse ? inverse_root_quotients : root_quotients;
		I8 r = rates8<stride>(w, k), q = rates8<stride>(quot, k);
		if constexpr (inverse) {
			if constexpr (stride == 2) z = _mm256_shuffle_epi32(z, 0xd8);
			if constexpr (stride == 4)
				z = _mm256_permutevar8x32_epi32(z, _mm256_setr_epi32(0, 4, 1, 5, 2, 6, 3, 7));
			I8 y = _mm256_srli_epi64(z, 32), x = add8(z, y);
			I8 d = fixed_even8(sub8(z, y), r, q);
			z = _mm256_blend_epi32(x, _mm256_slli_epi64(d, 32), 0xaa);
		} else {
			if constexpr (stride == 1) z = _mm256_shuffle_epi32(z, 0xb1);
			if constexpr (stride == 2) z = _mm256_shuffle_epi32(z, 0x72);
			if constexpr (stride == 4)
				z = _mm256_permutevar8x32_epi32(z, _mm256_setr_epi32(4, 0, 5, 1, 6, 2, 7, 3));
			I8 y = fixed_even8(z, r, q);
			I8 x = _mm256_blend_epi32(_mm256_srli_epi64(z, 32), z, 0xaa);
			y = _mm256_blend_epi32(
				y, _mm256_sub_epi32(_mm256_set1_epi32(twice), _mm256_slli_epi64(y, 32)), 0xaa);
			z = add8(x, y);
		}
		if constexpr (stride == 2) z = _mm256_shuffle_epi32(z, 0xd8);
		if constexpr (stride == 4)
			z = _mm256_permutevar8x32_epi32(z, _mm256_setr_epi32(0, 2, 4, 6, 1, 3, 5, 7));
		return z;
	}
	template <bool inverse>
	__attribute__((target("avx2"))) void fft8(U *a, int length, int limit = 0) const {
		if (!limit) limit = length;
		if constexpr (!inverse) {
			int h = limit / 2;
			for (; h >= 16; h >>= 2) radix4_8<false>(a, h / 2, length);
			if (h == 8) {
				if (limit >= 32)
					for (int i = 0; i < length; i += 8) {
						I8 x = load8(a + i), p = _mm256_set1_epi32(twice);
						store8(a + i, _mm256_min_epu32(x, _mm256_sub_epi32(x, p)));
					}
				stage8<false>(a, h, length);
			}
		}
		for (int j = 0; j < length; j += 8) {
			I8 z = load8(a + j);
			if constexpr (!inverse)
				if ((limit >= 32) && (__builtin_ctz((unsigned int)limit) & 1)) {
					I8 p = _mm256_set1_epi32(twice);
					z = _mm256_min_epu32(z, _mm256_sub_epi32(z, p));
				}
			if constexpr (inverse)
				z = small8<4, true>(small8<2, true>(small8<1, true>(z, j / 8), j / 8), j / 8);
			else
				z = small8<1, false>(small8<2, false>(small8<4, false>(z, j / 8), j / 8),
									 j / 8);
			store8(a + j, z);
		}
		if constexpr (inverse) {
			int h = 8;
			for (; 4 * h <= limit; h <<= 2) radix4_8<true>(a, h, length);
			if (h < limit) stage8<true>(a, h, length);
		}
	}
	template <bool inverse>
	__attribute__((target("avx2"))) void radix4_8(U *a, int stride, int length) const {
		const V &w = inverse ? inverse_roots : roots;
		const V &q = inverse ? inverse_root_quotients : root_quotients;
		prepare_cubes(length / (4 * stride));
		const V &w3 = inverse ? inverse_cube_roots : cube_roots;
		const V &q3s = inverse ? inverse_cube_quotients : cube_quotients;
		I8 p = _mm256_set1_epi32(twice);
		I8 im = _mm256_set1_epi32(w[1]), iq = _mm256_set1_epi32(q[1]);
		for (int j = 0, k = 0; j < length; j += 4 * stride, ++k) {
			I8 r = _mm256_set1_epi32(w[k]), rq = _mm256_set1_epi32(q[k]);
			I8 r0 = _mm256_set1_epi32(w[2 * k]), q0 = _mm256_set1_epi32(q[2 * k]);
			I8 r3 = _mm256_set1_epi32(w3[k]), q3 = _mm256_set1_epi32(q3s[k]);
			for (int i = 0; i < stride; i += 8) {
				I8 x0 = load8(a + j + i), x1 = load8(a + j + stride + i);
				I8 x2 = load8(a + j + 2 * stride + i), x3 = load8(a + j + 3 * stride + i);
				if constexpr (inverse) {
					I8 u = add8(x0, x1), v = sub8(x0, x1);
					I8 s = add8(x2, x3);
					I8 t = fixed_mul8(_mm256_sub_epi32(_mm256_add_epi32(x2, p), x3), im, iq);
					x0 = add8(u, s);
					x1 = _mm256_add_epi32(v, t);
					x2 = _mm256_sub_epi32(_mm256_add_epi32(u, p), s);
					x3 = _mm256_sub_epi32(_mm256_add_epi32(v, p), t);
					if (k) {
						x1 = fixed_mul8(x1, r0, q0);
						x2 = fixed_mul8(x2, r, rq);
						x3 = fixed_mul8(x3, r3, q3);
					} else {
						x1 = _mm256_min_epu32(x1, _mm256_sub_epi32(x1, p));
						x2 = _mm256_min_epu32(x2, _mm256_sub_epi32(x2, p));
						x3 = _mm256_min_epu32(x3, _mm256_sub_epi32(x3, p));
					}
				} else {
					x0 = _mm256_min_epu32(x0, _mm256_sub_epi32(x0, p));
					if (!k) {
						x1 = _mm256_min_epu32(x1, _mm256_sub_epi32(x1, p));
						x2 = _mm256_min_epu32(x2, _mm256_sub_epi32(x2, p));
						x3 = _mm256_min_epu32(x3, _mm256_sub_epi32(x3, p));
					}
					if (k) {
						x1 = fixed_mul8(x1, r0, q0);
						x2 = fixed_mul8(x2, r, rq);
						x3 = fixed_mul8(x3, r3, q3);
					}
					I8 u = add8(x0, x2), v = sub8(x0, x2), s = add8(x1, x3);
					I8 t = fixed_mul8(_mm256_sub_epi32(_mm256_add_epi32(x1, p), x3), im, iq);
					x0 = _mm256_add_epi32(u, s);
					x1 = _mm256_sub_epi32(_mm256_add_epi32(u, p), s);
					x2 = _mm256_add_epi32(v, t);
					x3 = _mm256_sub_epi32(_mm256_add_epi32(v, p), t);
				}
				store8(a + j + i, x0);
				store8(a + j + stride + i, x1);
				store8(a + j + 2 * stride + i, x2);
				store8(a + j + 3 * stride + i, x3);
			}
		}
	}
	template <bool inverse>
	__attribute__((target("avx2"))) void stage8(U *a, int stride, int length, int first = 0) const {
		const V &w = inverse ? inverse_roots : roots;
		const V &quot = inverse ? inverse_root_quotients : root_quotients;
		if (stride < 8) {
			for (int j = 0; j < length; j += 8) {
				I8 z = load8(a + j);
				if (stride == 1)
					z = small8<1, inverse>(z, j / 8);
				else if (stride == 2)
					z = small8<2, inverse>(z, j / 8);
				else
					z = small8<4, inverse>(z, j / 8);
				store8(a + j, z);
			}
		} else {
			for (int j = 0, k = first; j < length; j += 2 * stride, ++k) {
				I8 r = _mm256_set1_epi32(w[k]), q = _mm256_set1_epi32(quot[k]);
				for (int i = 0; i < stride; i += 8) {
					I8 x = load8(a + j + i), y = load8(a + j + stride + i);
					if constexpr (!inverse)
						if (k) y = fixed_mul8(y, r, q);
					I8 z = sub8(x, y);
					x = add8(x, y);
					if constexpr (inverse)
						if (k) z = fixed_mul8(z, r, q);
					store8(a + j + i, x);
					store8(a + j + stride + i, z);
				}
			}
		}
	}

	__attribute__((target("avx2"))) static void load_pairs(const U *a, I8 &x, I8 &y) {
		I8 index = _mm256_setr_epi32(0, 2, 4, 6, 1, 3, 5, 7);
		I8 u = _mm256_permutevar8x32_epi32(load8(a), index),
		   v = _mm256_permutevar8x32_epi32(load8(a + 8), index);
		x = _mm256_permute2x128_si256(u, v, 0x20);
		y = _mm256_permute2x128_si256(u, v, 0x31);
	}
	__attribute__((target("avx2"))) static void scale_copy8(U *dst, const U *src, int length, U r) {
		U quotient_r = quotient(r);
		I8 v = _mm256_set1_epi32(r), q = _mm256_set1_epi32(quotient_r);
		int i = 0;
		for (; i + 8 <= length; i += 8) store8(dst + i, fixed_mul8(load8(src + i), v, q));
		for (; i < length; ++i) dst[i] = fixed_mul(src[i], r, quotient_r);
	}
	__attribute__((target("avx2"))) static void scale8(U *a, int length, U r) {
		scale_copy8(a, a, length, r);
	}
#endif

	template <bool inverse>
	void stage(U *a, int stride, int length, int first = 0) const {
		const V &w = inverse ? inverse_roots : roots;
		const V &quot = inverse ? inverse_root_quotients : root_quotients;
#if defined(__x86_64__) || defined(__i386__)
		if (length >= 8 && vectorized()) {
			stage8<inverse>(a, stride, length, first);
			return;
		}
#endif
		for (int j = 0, k = first; j < length; j += 2 * stride, ++k) {
			U r = w[k], q = quot[k];
			int i = 0;
			for (; i < stride; ++i) {
				U x = a[j + i], y = a[j + stride + i];
				if constexpr (!inverse)
					if (k) y = fixed_mul(y, r, q);
				a[j + i] = add(x, y);
				a[j + stride + i] = inverse && k ? fixed_mul(sub(x, y), r, q) : sub(x, y);
			}
		}
	}

	template <bool inverse>
	void fft(U *a, int length, int limit = 0) const {
		if (!limit) limit = length;
#if defined(__x86_64__) || defined(__i386__)
		if (limit >= 8 && vectorized()) {
			fft8<inverse>(a, length, limit);
			return;
		}
#endif
		if constexpr (inverse) {
			for (int h = 1; h < limit; h <<= 1) stage<true>(a, h, length);
		} else {
			for (int h = limit / 2; h; h >>= 1) stage<false>(a, h, length);
		}
	}
#if defined(__x86_64__) || defined(__i386__)
	__attribute__((target("avx2"))) static void product8(U *dst, const U *a, const U *b, int n) {
		int i = 0;
		for (; i + 8 <= n; i += 8) {
			I8 x = mul8(load8(a + i), load8(b + i));
			store8(dst + i, x);
		}
		for (; i < n; ++i) dst[i] = mul(a[i], b[i]);
	}
	__attribute__((target("avx2"))) static void weighted8(U *dst, const U *src, int n, int first) {
		alignas(32) U factors[8];
		for (int j = 0; j < 8; ++j) factors[j] = in(first + j);
		I8 r = load8(factors), step = _mm256_set1_epi32(in(8));
		int i = 0;
		for (; i + 8 <= n; i += 8) {
			store8(dst + i, mul8(load8(src + i), r));
			r = add8(r, step);
		}
		for (; i < n; ++i) dst[i] = mul(src[i], in(first + i));
	}
	__attribute__((target("avx2"), always_inline)) static I8 inverse8(I8 a) {
		I8 a2 = mul8(a, a), a3 = mul8(a2, a);
		I8 a7 = mul8(mul8(a3, a3), a), a31 = a7;
		for (int repeat_index = 0; repeat_index < 2; ++repeat_index) a31 = mul8(a31, a31);
		a31 = mul8(a31, a3);
		I8 r = a7;
		for (int repeat_index = 0; repeat_index < 3; ++repeat_index) r = mul8(r, r);
		r = mul8(r, a3);
		r = mul8(r, r);
		for (int j = 0; j < 4; ++j) {
			for (int repeat_index = 0; repeat_index < 5; ++repeat_index) r = mul8(r, r);
			r = mul8(r, a31);
		}
		for (int repeat_index = 0; repeat_index < 3; ++repeat_index) r = mul8(r, r);
		return mul8(r, a7);
	}
	__attribute__((target("avx2"))) static void batch_inverse8(U *dst, const U *src, int n) {
		if (n < 16) {
			for (int i = 0; i < n; ++i) dst[i] = T::word(src[i]).inv().v;
			return;
		}
		int count = n / 16 * 16;
		I8 p = load8(src), q = load8(src + 8);
		store8(dst, p);
		store8(dst + 8, q);
		for (int i = 16; i < count; i += 16) {
			p = mul8(p, load8(src + i));
			q = mul8(q, load8(src + i + 8));
			store8(dst + i, p);
			store8(dst + i + 8, q);
		}
		alignas(32) U lanes[16];
		store8(lanes, p);
		store8(lanes + 8, q);
		for ([[maybe_unused]] auto x : lanes) assert(out(x) != 0);
		I8 inverse = inverse8(p), other = inverse8(q);
		for (int i = count - 16; i >= 16; i -= 16) {
			store8(dst + i, mul8(inverse, load8(dst + i - 16)));
			store8(dst + i + 8, mul8(other, load8(dst + i - 8)));
			inverse = mul8(inverse, load8(src + i));
			other = mul8(other, load8(src + i + 8));
		}
		store8(dst, inverse);
		store8(dst + 8, other);
		for (int i = count; i < n; ++i) dst[i] = T::word(src[i]).inv().v;
	}
	__attribute__((target("avx2"))) static void inverse_sequence8(U *dst, int first, int n) {

		alignas(32) U initial[8];
		for (int j = 0; j < 8; ++j) initial[j] = in(first + j);
		I8 factor = load8(initial), step = _mm256_set1_epi32(in(8));
		I8 p = factor;
		store8(dst, p);
		for (int i = 8; i < n; i += 8) {
			factor = add8(factor, step);
			p = mul8(p, factor);
			store8(dst + i, p);
		}
		I8 inverse = inverse8(p);
		for (int i = n - 8; i >= 8; i -= 8) {
			store8(dst + i, mul8(inverse, load8(dst + i - 8)));
			inverse = mul8(inverse, factor);
			factor = sub8(factor, step);
		}
		store8(dst, inverse);
	}
	__attribute__((target("avx2"))) static void normalize8(U *a, int n) {
		I8 p = _mm256_set1_epi32(mod);
		int i = 0;
		for (; i + 8 <= n; i += 8) {
			I8 x = load8(a + i);
			store8(a + i, _mm256_min_epu32(x, _mm256_sub_epi32(x, p)));
		}
		for (; i < n; ++i)
			if (a[i] >= mod) a[i] -= mod;
	}
#endif
	static void weighted(U *dst, const U *src, int n, int first) {
#if defined(__x86_64__) || defined(__i386__)
		if (n >= 8 && vectorized()) {
			weighted8(dst, src, n, first);
			return;
		}
#endif
		for (int i = 0; i < n; ++i) dst[i] = mul(src[i], in(first + i));
	}
	static void normalize(U *a, int n) {
#if defined(__x86_64__) || defined(__i386__)
		if (n >= 8 && vectorized()) {
			normalize8(a, n);
			return;
		}
#endif
		int i = 0;
		for (; i < n; ++i)
			if (a[i] >= mod) a[i] -= mod;
	}
	static void product(U *dst, const U *a, const U *b, int n) {
#if defined(__x86_64__) || defined(__i386__)
		if (n >= 8 && vectorized()) {
			product8(dst, a, b, n);
			return;
		}
#endif
		int i = 0;
		for (; i < n; ++i) dst[i] = mul(a[i], b[i]);
	}
#if defined(__x86_64__) || defined(__i386__)
	__attribute__((target("avx2"), always_inline)) void partial_stage8(U *a, int stride, int k) const {
		const I8 p = _mm256_set1_epi32(twice);
		const I8 r = _mm256_set1_epi32(roots[k]), q = _mm256_set1_epi32(root_quotients[k]);
		for (int i = 0; i < stride; i += 8) {
			I8 x = load8(a + i), y = load8(a + stride + i);
			x = _mm256_min_epu32(x, _mm256_sub_epi32(x, p));
			y = k ? fixed_mul8(y, r, q) : _mm256_min_epu32(y, _mm256_sub_epi32(y, p));
			store8(a + i, _mm256_add_epi32(x, y));
			store8(a + stride + i, _mm256_sub_epi32(_mm256_add_epi32(x, p), y));
		}
	}
	template <int count, bool second = false>
	__attribute__((target("avx2"), always_inline)) void inverse_leaf_products8(U *a, U *b, const U *ws, const U *qs) const {
		I8 p = _mm256_set1_epi32(mod), pp = _mm256_set1_epi32(twice);
		alignas(32) U window[count][16], coefficients[count][8];
		I8 e[count], o[count];
		for (int k = 0; k < count; ++k) {
			I8 x = load8(a + 8 * k), y = load8(b + 8 * k);
			x = _mm256_min_epu32(x, _mm256_sub_epi32(x, pp));
			if constexpr (!second) y = _mm256_min_epu32(y, _mm256_sub_epi32(y, pp));
			x = _mm256_min_epu32(x, _mm256_sub_epi32(x, p));
			if constexpr (!second) y = _mm256_min_epu32(y, _mm256_sub_epi32(y, p));
			I8 low = fixed_mul8(x, _mm256_set1_epi32(ws[k]), _mm256_set1_epi32(qs[k]));
			store8(window[k], _mm256_min_epu32(low, _mm256_sub_epi32(low, p)));
			store8(window[k] + 8, x);
			store8(coefficients[k], y);
			if constexpr (!second) store8(b + 8 * k, y);
			e[k] = o[k] = _mm256_setzero_si256();
		}
		for (int i = 0; i < 8; ++i)
			for (int k = 0; k < count; ++k) {
				I8 z = load8(window[k] + 8 - i), r = _mm256_set1_epi32(coefficients[k][i]);
				e[k] = _mm256_add_epi64(e[k], _mm256_mul_epu32(z, r));
				o[k] = _mm256_add_epi64(o[k], _mm256_mul_epu32(_mm256_srli_epi64(z, 32), r));
			}
		for (int k = 0; k < count; ++k) {
			I8 x = reduce8(e[k], o[k]);
			store8(a + 8 * k, _mm256_min_epu32(x, _mm256_sub_epi32(x, pp)));
		}
	}
	__attribute__((target("avx2"))) static U reverse_dot8(const U *a, const U *b, int n) {
		I8 p = _mm256_set1_epi32(mod), pp = _mm256_set1_epi32(twice);
		I8 reversed = _mm256_setr_epi32(7, 6, 5, 4, 3, 2, 1, 0), total = _mm256_setzero_si256();
		int i = 0;
		for (; i + 8 <= n;) {
			I8 even = _mm256_setzero_si256(), odd = even;
			int end = std::min(n / 8 * 8, i + 64);
			for (; i < end; i += 8) {
				I8 x = load8(a + i), y = _mm256_permutevar8x32_epi32(load8(b - i - 7), reversed);
				x = _mm256_min_epu32(x, _mm256_sub_epi32(x, pp));
				y = _mm256_min_epu32(y, _mm256_sub_epi32(y, pp));
				x = _mm256_min_epu32(x, _mm256_sub_epi32(x, p));
				y = _mm256_min_epu32(y, _mm256_sub_epi32(y, p));
				even = _mm256_add_epi64(even, _mm256_mul_epu32(x, y));
				odd = _mm256_add_epi64(odd, _mm256_mul_epu32(_mm256_srli_epi64(x, 32), _mm256_srli_epi64(y, 32)));
			}
			I8 value = reduce8(even, odd);
			value = _mm256_min_epu32(value, _mm256_sub_epi32(value, pp));
			total = add8(total, value);
		}
		total = add8(total, _mm256_permute2x128_si256(total, total, 1));
		total = add8(total, _mm256_shuffle_epi32(total, 0x4e));
		total = add8(total, _mm256_shuffle_epi32(total, 0xb1));
		U result = _mm_cvtsi128_si32(_mm256_castsi256_si128(total));
		for (; i < n; ++i) {
			U x = a[i], y = b[-i];
			if (x >= twice) x -= twice;
			if (y >= twice) y -= twice;
			if (x >= mod) x -= mod;
			if (y >= mod) y -= mod;
			result = add(result, mul(x, y));
		}
		return result;
	}

	template <bool inverse>
	__attribute__((target("avx2"))) void inverse_partial8(U *a, int n, int limit = 0) const {
		if (!limit) limit = n;
		if constexpr (!inverse) {
			int stride = limit / 2;
			for (; stride >= 16; stride >>= 2) radix4_8<false>(a, stride / 2, n);
			if (stride == 8)
				for (int i = 0; i < n; i += 16) partial_stage8(a + i, 8, i / 16);
		} else {
			int stride = 8;
			for (; 4 * stride <= n; stride <<= 2) radix4_8<true>(a, stride, n);
			if (stride < n) stage8<true>(a, stride, n);
		}
	}
	__attribute__((target("avx2"))) void inverse_newton8(U *a, U *b, int n) const {
		assert(n >= 64 && !(n & (n - 1)) && n <= (1 << 23) && static_cast<int>(roots.size()) >= n / 16);
		std::copy_n(b, n / 2, b + n / 2);
		inverse_partial8<false>(b, n, n / 2);
		inverse_partial8<false>(a, n);
		for (int i = 0; i < n; i += 64) {
			U ws[8], qs[8];
			for (int j = 0; j < 8; ++j) {
				int k = i / 8 + j;
				ws[j] = (k & 1) ? mod - roots[k / 2] : roots[k / 2];
				qs[j] = (k & 1) ? ~root_quotients[k / 2] : root_quotients[k / 2];
			}
			inverse_leaf_products8<8>(a + i, b + i, ws, qs);
		}
		inverse_partial8<true>(a, n);
		std::fill_n(a, n / 2, U(0));
		inverse_partial8<false>(a, n);
		for (int i = 0; i < n; i += 64) {
			U ws[8], qs[8];
			for (int j = 0; j < 8; ++j) {
				int k = i / 8 + j;
				ws[j] = (k & 1) ? mod - roots[k / 2] : roots[k / 2];
				qs[j] = (k & 1) ? ~root_quotients[k / 2] : root_quotients[k / 2];
			}
			inverse_leaf_products8<8, true>(a + i, b + i, ws, qs);
		}
		inverse_partial8<true>(a, n);
		U norm = mod - (mod - 1) / (n / 8);
		scale8(a + n / 2, n / 2, mod - (unsigned long long)norm * norm % mod);
	}

#endif
#if defined(__x86_64__) || defined(__i386__)
	template <bool odd>
	__attribute__((target("avx2"))) static void reduce_pairs8(U *a, U *b, const U *twist, int n) {
		for (int i = 0; i < n; i += 8) {
			I8 x, y, u, v;
			load_pairs(a + 2 * i, x, y);
			load_pairs(b + 2 * i, u, v);
			x = mul8(x, v);
			y = mul8(y, u);
			if constexpr (odd) x = mul8(sub8(x, y), load8(twist + i));
			else x = add8(x, y);
			store8(a + i, x);
			store8(b + i, mul8(u, v));
		}
	}
	__attribute__((target("avx2"))) static void combine8(U *a, const U *b, const U *x, const U *y, int n) {
		for (int i = 0; i < n; i += 8) store8(a + i, add8(mul8(load8(a + i), load8(y + i)), mul8(load8(b + i), load8(x + i))));
	}
#endif

	template <bool odd>
	static void reduce_pairs(U *a, U *b, const U *twist, int n) {
#if defined(__x86_64__) || defined(__i386__)
		if (n >= 8 && vectorized()) {
			reduce_pairs8<odd>(a, b, twist, n);
			return;
		}
#endif
		int i = 0;
		for (; i < n; ++i) {
			U u = mul(a[2 * i], b[2 * i + 1]), v = mul(a[2 * i + 1], b[2 * i]);
			a[i] = odd ? mul(sub(u, v), twist[i]) : add(u, v);
			b[i] = mul(b[2 * i], b[2 * i + 1]);
		}
	}
	static void combine(U *a, const U *b, const U *x, const U *y, int n) {
#if defined(__x86_64__) || defined(__i386__)
		if (n >= 8 && vectorized()) {
			combine8(a, b, x, y, n);
			return;
		}
#endif
		int i = 0;
		for (; i < n; ++i) a[i] = add(mul(a[i], y[i]), mul(b[i], x[i]));
	}
#if defined(__x86_64__) || defined(__i386__)
	__attribute__((target("avx2"))) static void geometric8(U *a, int n, U first, U step) {
		alignas(32) U factors[8];
		U power = one;
		for (int i = 0; i < 8; ++i) {
			factors[i] = mul(first, power);
			power = mul(power, step);
		}
		I8 r = load8(factors), ratio = _mm256_set1_epi32(power);
		int i = 0;
		for (; i + 8 <= n; i += 8) {
			store8(a + i, mul8(load8(a + i), r));
			r = mul8(r, ratio);
		}
		store8(factors, r);
		for (int j = 0; i < n; ++i, ++j) a[i] = mul(a[i], factors[j]);
	}
#endif
	static void geometric(U *a, int n, U first, U step) {
#if defined(__x86_64__) || defined(__i386__)
		if (n >= 8 && vectorized()) {
			geometric8(a, n, first, step);
			return;
		}
#endif
		int i = 0;
		for (; i < n; ++i) {
			a[i] = mul(a[i], first);
			first = mul(first, step);
		}
	}
#if defined(__x86_64__) || defined(__i386__)
	__attribute__((target("avx2"))) static void add_scaled8(U *a, const U *b, int n, U r) {
		U q = quotient(r);
		I8 v = _mm256_set1_epi32(r), vq = _mm256_set1_epi32(q);
		int i = 0;
		for (; i + 8 <= n; i += 8) store8(a + i, add8(load8(a + i), fixed_mul8(load8(b + i), v, vq)));
		for (; i < n; ++i) a[i] = add(a[i], fixed_mul(b[i], r, q));
	}
#endif
	static void add_scaled(U *a, const U *b, int n, U r) {
#if defined(__x86_64__) || defined(__i386__)
		if (n >= 8 && vectorized()) {
			add_scaled8(a, b, n, r);
			return;
		}
#endif
		int i = 0;
		U q = quotient(r);
		for (; i < n; ++i) a[i] = add(a[i], fixed_mul(b[i], r, q));
	}
	static void scale_copy(U *dst, const U *src, int length, U r) {
#if defined(__x86_64__) || defined(__i386__)
		if (length >= 8 && vectorized()) {
			scale_copy8(dst, src, length, r);
			return;
		}
#endif
		U q = quotient(r);
		int i = 0;
		for (; i < length; ++i) dst[i] = fixed_mul(src[i], r, q);
	}
	void scale(U *a, int length, U r) const {
		scale_copy(a, a, length, r);
	}
	struct CompositionDelete {
		void operator()(unsigned int *p) const { ::operator delete[](p, std::align_val_t(64)); }
	};
	using CompositionWords = std::unique_ptr<unsigned int[], CompositionDelete>;

};
inline NTT &ntt_plan(int size) {
	static NTT t(1, false);
	if (static_cast<int>(t.roots.size()) < size) t = NTT(size, false);
	return t;
}

}

inline void ntt(std::vector<mint> &a, bool inverse = false) {
	assert(!a.empty() && !(a.size() & (a.size() - 1)) && a.size() <= (1U << 23));
	int n = static_cast<int>(a.size());
	auto &t = fps_detail::ntt_plan(std::max(1, n / 2));
	auto reorder = [&] {
		for (int i = 1, j = 0; i < n; ++i) {
			int bit = n >> 1;
			for (; j & bit; bit >>= 1) j ^= bit;
			j ^= bit;
			if (i < j) std::swap(a[i], a[j]);
		}
	};
	static_assert(sizeof(mint) == sizeof(fps_detail::NTT::U) && std::is_trivially_copyable_v<mint>);
	auto *words = reinterpret_cast<fps_detail::NTT::U *>(a.data());
	if (inverse) {
		reorder();
		t.fft<true>(words, n);
		t.scale(words, n, mint(n).inv().val());
	} else {
		t.fft<false>(words, n);
		reorder();
	}
}

#if defined(__GNUC__) && !defined(__clang__) && (defined(__x86_64__) || defined(__i386__))
#pragma GCC pop_options
#endif


#line 6 "convolution/online_convolution.hpp"
#include <bit>
#line 10 "convolution/online_convolution.hpp"

template <class T = mint>
class OnlineConvolution {
	static_assert(T::mod() == 998244353);
	using M = mint;
	using NTT = fps_detail::NTT;
	using V = std::vector<M>;
	struct Prefix { V a, b; };
	int limit;
	V a, b, c, f, g;
	std::vector<Prefix> prefixes;
	static M import(T x) {
		if constexpr (std::is_same_v<T, M>) return x;
		else return M::raw(x.val());
	}
	static T export_value(M x) {
		if constexpr (std::is_same_v<T, M>) return x;
		else return T::raw(x.val());
	}
	static NTT::U *words(V &v) { return reinterpret_cast<NTT::U *>(v.data()); }
	static const NTT::U *words(const V &v) { return reinterpret_cast<const NTT::U *>(v.data()); }
	static void forward(V &v) {
		NTT &plan = fps_detail::ntt_plan(std::max(1, int(v.size()) / 2));
		plan.fft<false>(words(v), v.size());
	}
	static void inverse(V &v) {
		int n = v.size();
		NTT &plan = fps_detail::ntt_plan(std::max(1, n / 2));
		plan.fft<true>(words(v), n);
		plan.scale(words(v), n, M::mod() - (M::mod() - 1) / n);
	}
	void extend(int q, int d) {
		int end = std::min(q + d, limit);
		if (int(c.size()) < end) c.resize(end);
		if (d < 8) {
			for (int k = q; k < end; ++k) {
				M sum = 0;
				if (q == d) {
					for (int i = k - q + 1; i < q; ++i) sum += a[i] * b[k - i];
				} else {
					for (int i = q - d; i < q; ++i) sum += a[i] * b[k - i] + b[i] * a[k - i];
				}
				c[k] += sum;
			}
			return;
		}
		if (q == d) {
			int level = std::countr_zero(unsigned(q));
			prefixes.resize(level + 1);
			auto &p = prefixes[level];
			p.a.assign(a.begin(), a.end());
			p.b.assign(b.begin(), b.end());
			forward(p.a); forward(p.b);
			f.resize(q);
			NTT::product(words(f), words(p.a), words(p.b), q);
			inverse(f);
			for (int k = q; k < end; ++k) c[k] += f[k - q] - c[k - q];
		} else {
			int n = 2 * d, level = std::countr_zero(unsigned(n));
			const auto &p = prefixes[level];
			f.assign(n, M(0)); g.assign(n, M(0));
			std::copy_n(a.begin() + q - d, d, f.begin());
			std::copy_n(b.begin() + q - d, d, g.begin());
			forward(f); forward(g);
			NTT::product(words(f), words(f), words(p.b), n);
			NTT::product(words(g), words(g), words(p.a), n);
			for (int i = 0; i < n; ++i) f[i] += g[i];
			inverse(f);
			for (int k = q; k < end; ++k) c[k] += f[d + k - q];
		}
	}
public:
	explicit OnlineConvolution(int max_size = 1 << 23) : limit(max_size) { assert(0 <= limit && limit <= (1 << 23)); }
	int size() const { return a.size(); }
	int max_size() const { return limit; }
	bool empty() const { return a.empty(); }
	void reserve(int n) {
		assert(0 <= n && n <= limit);
		a.reserve(n); b.reserve(n); c.reserve(n);
	}
	void clear() { a.clear(); b.clear(); c.clear(); f.clear(); g.clear(); prefixes.clear(); }
	T operator[](int i) const { assert(0 <= i && i < size()); return export_value(c[i]); }
	T pending() const { assert(size() < limit); return export_value(size() < int(c.size()) ? c[size()] : M(0)); }
	T push(T x, T y) {
		int n = size();
		assert(n < limit);
		a.push_back(import(x)); b.push_back(import(y));
		if (n >= int(c.size())) c.resize(n + 1);
		c[n] += a[n] * b[0];
		if (n) c[n] += b[n] * a[0];
		int q = n + 1;
		if (q < limit) extend(q, q & -q);
		return export_value(c[n]);
	}
};


#line 1 "components/fast_io.hpp"



#line 5 "components/fast_io.hpp"
#include <array>
#line 8 "components/fast_io.hpp"
#include <charconv>
#line 10 "components/fast_io.hpp"
#include <cstdint>
#include <cstdio>
#include <cstring>
#line 14 "components/fast_io.hpp"
#include <stdexcept>
#include <string>
#include <string_view>
#line 18 "components/fast_io.hpp"
#if defined(__unix__) || defined(__APPLE__)
#include <sys/mman.h>
#include <sys/stat.h>
#include <unistd.h>
#endif

namespace fast_io_detail { struct BulkInput; struct BulkOutput; }

class FastInput {
	friend struct fast_io_detail::BulkInput;
	static constexpr std::size_t capacity = 1 << 16;
	FILE *file = nullptr;
	std::unique_ptr<char[]> buffer;
	const char *current = "", *end = current;
	std::string scratch;
	void *mapping = nullptr;
	std::size_t mapped_size = 0;
	bool refill() {
		if (!file) return false;
		std::size_t n = std::fread(buffer.get(), 1, capacity, file);
		current = buffer.get();
		end = current + n;
		return n;
	}
	static const char *scan(const char *p, const char *end) {
		while (end - p >= 8) {
			std::uint64_t x;
			std::memcpy(&x, p, 8);
			if ((x - 0x2121212121212121ULL) & ~x & 0x8080808080808080ULL) break;
			p += 8;
		}
		while (p != end && static_cast<unsigned char>(*p) > ' ') ++p;
		return p;
	}

public:
	explicit FastInput(FILE *input = stdin) {
#if defined(__unix__) || defined(__APPLE__)
		struct stat status;
		int fd = fileno(input);
		auto offset = ftello(input);
		if (fd >= 0 && offset >= 0 && !fstat(fd, &status) && S_ISREG(status.st_mode) && status.st_size > offset) {
			mapped_size = status.st_size;
			mapping = mmap(nullptr, mapped_size, PROT_READ, MAP_PRIVATE, fd, 0);
			if (mapping != MAP_FAILED) {
				current = static_cast<const char *>(mapping) + offset;
				end = static_cast<const char *>(mapping) + mapped_size;
				return;
			}
			mapping = nullptr;
		}
#endif
		file = input;
		buffer = std::make_unique_for_overwrite<char[]>(capacity);
	}
	explicit FastInput(std::string_view input) : current(input.empty() ? "" : input.data()), end(current + input.size()) {}
	FastInput(const FastInput &) = delete;
	FastInput &operator=(const FastInput &) = delete;
	~FastInput() {
#if defined(__unix__) || defined(__APPLE__)
		if (mapping) munmap(mapping, mapped_size);
#endif
	}
	std::string_view token() {
		while (true) {
			while (current != end && static_cast<unsigned char>(*current) <= ' ') ++current;
			if (current != end) break;
			if (!refill()) return {};
		}
		const char *begin = current;
		current = scan(current, end);
		if (current != end || !file) return {begin, std::size_t(current - begin)};
		scratch.assign(begin, end);
		while (refill()) {
			current = scan(current, end);
			scratch.append(buffer.get(), std::size_t(current - buffer.get()));
			if (current != end) break;
		}
		return scratch;
	}
	template <class T>
	bool read(T &value) {
		if constexpr (std::is_integral_v<T> && !std::is_same_v<T, bool>) {
			while (true) {
				while (current != end && static_cast<unsigned char>(*current) <= ' ') ++current;
				if (current != end) break;
				if (!refill()) return false;
			}
			if constexpr (std::is_unsigned_v<T> && sizeof(T) == 4 && std::endian::native == std::endian::little) {
				if (end - current >= 11) {
					std::uint64_t x;
					std::memcpy(&x, current, 8);
					if (!(((x + 0x4646464646464646ULL) | (x - 0x3030303030303030ULL)) & 0x8080808080808080ULL)) {
						x &= 0x0f0f0f0f0f0f0f0fULL;
						x = (x * 10 + (x >> 8)) & 0x00ff00ff00ff00ffULL;
						x = (x * 100 + (x >> 16)) & 0x0000ffff0000ffffULL;
						std::uint64_t v = std::uint32_t(x * 10000 + (x >> 32));
						int n = 8;
						for (; n < 10 && static_cast<unsigned char>(current[n]) - unsigned('0') < 10; ++n)
							v = v * 10 + (current[n] - '0');
						if (static_cast<unsigned char>(current[n]) <= ' ' && v <= 0xffffffffULL) {
							current += n;
							value = T(v);
							return true;
						}
					}
				}
			}
			T parsed{};
			auto result = std::from_chars(current, end, parsed);
			if (result.ec == std::errc{} && (result.ptr != end ? static_cast<unsigned char>(*result.ptr) <= ' ' : !file)) {
				current = result.ptr;
				value = parsed;
				return true;
			}
		}
		auto s = token();
		if (s.empty()) return false;
		if constexpr (std::is_same_v<T, bool>) {
			assert(s == "0" || s == "1");
			value = s[0] == '1';
		} else if constexpr (std::is_integral_v<T>) {
			auto result = std::from_chars(s.data(), s.data() + s.size(), value);
			assert(result.ec == std::errc{} && result.ptr == s.data() + s.size());
			(void)result;
		} else value = T(s);
		return true;
	}
};

class FastOutput {
	friend struct fast_io_detail::BulkOutput;
	inline static constexpr auto quads = [] {
		std::array<std::array<char, 4>, 10000> table{};
		for (int i = 0; i < 10000; ++i)
			table[i] = {char('0' + i / 1000), char('0' + i / 100 % 10), char('0' + i / 10 % 10), char('0' + i % 10)};
		return table;
	}();
	FILE *file;
	std::unique_ptr<char[]> buffer = std::make_unique_for_overwrite<char[]>(1 << 16);
	std::size_t capacity = 1 << 16, length = 0;
	char *reserve(std::size_t n) {
		if (n > capacity - length) {
			if (!flush()) throw std::runtime_error("output failed");
			if (n > capacity) {
				std::size_t next = std::max(n, 2 * capacity);
				buffer = std::make_unique_for_overwrite<char[]>(next);
				capacity = next;
			}
		}
		return buffer.get() + length;
	}

public:
	explicit FastOutput(FILE *output = stdout) : file(output) {}
	FastOutput(const FastOutput &) = delete;
	FastOutput &operator=(const FastOutput &) = delete;
	~FastOutput() { flush(); }
	bool flush() {
		std::size_t offset = 0;
		while (offset < length) {
			auto n = std::fwrite(buffer.get() + offset, 1, length - offset, file);
			if (!n) {
				std::memmove(buffer.get(), buffer.get() + offset, length - offset);
				length -= offset;
				return false;
			}
			offset += n;
		}
		length = 0;
		return std::fflush(file) == 0;
	}
	void write(char c) { *reserve(1) = c; ++length; }
	void write(__uint128_t value) {
		char digits[40];
		char *end = digits + sizeof(digits), *begin = end;
		do { *--begin = char('0' + value % 10); value /= 10; } while (value);
		write(std::string_view(begin, end - begin));
	}
	void write(__int128_t value) {
		__uint128_t magnitude = __uint128_t(value);
		if (value < 0) write('-'), magnitude = 0 - magnitude;
		write(magnitude);
	}
	void write(std::string_view s) {
		char *out = reserve(s.size());
		if (!s.empty()) std::memcpy(out, s.data(), s.size());
		length += s.size();
	}
	template <class T> requires std::is_integral_v<T>
	void write(T value) {
		char *out = reserve(32);
		if constexpr (std::is_same_v<T, bool>) *out = '0' + value, ++length;
		else if constexpr (std::is_unsigned_v<T> && sizeof(T) == 4) {
			char *p = out;
			if (value >= 100000000) {
				auto high = value / 100000000, low = value % 100000000;
				p = std::to_chars(p, p + 2, high).ptr;
				std::memcpy(p, quads[low / 10000].data(), 4);
				std::memcpy(p + 4, quads[low % 10000].data(), 4);
				p += 8;
			} else if (value >= 10000) {
				p = std::to_chars(p, p + 4, value / 10000).ptr;
				std::memcpy(p, quads[value % 10000].data(), 4);
				p += 4;
			} else p = std::to_chars(p, p + 4, value).ptr;
			length += p - out;
		} else length += std::to_chars(out, out + 32, value).ptr - out;
	}
	template <class T> requires requires(const T &value, char *out) { value.decimal_capacity(); value.to_chars(out); }
	void write(const T &value) {
		char *out = reserve(value.decimal_capacity());
		length += value.to_chars(out) - out;
	}
	template <class T>
	void println(const T &value) { write(value); write('\n'); }
};


#line 5 "test/online_convolution_inv.test.cpp"

int main() {
	FastInput in;
	FastOutput out;
	int n;
	if (!in.read(n)) return 0;
	std::vector<mint> a(n);
	unsigned x = 0;
	for (auto &v : a) { in.read(x); v = mint::raw(x); }
	mint scale = a[0].inv(), value = scale;
	OnlineConvolution queue(n);
	for (int i = 0; i < n; ++i) {
		if (i) out.write(' ');
		out.write(value.val());
		if (i + 1 < n) value = -queue.push(a[i + 1], value) * scale;
	}
	out.write('\n');
}