This documentation is automatically generated by online-judge-tools/verification-helper
#define PROBLEM "https://judge.yosupo.jp/problem/convolution_mod_large"
#include <iostream>
#include <cstring>
#include "library/convolution/convolution_large.hpp"
using mint = atcoder::modint998244353;
std::istream& operator>>(std::istream& in, mint& a) {
long long e; in >> e; a = e;
return in;
}
// from https://judge.yosupo.jp/submission/21623
namespace nyaan {
namespace fastio {
static constexpr uint32_t SZ = 1 << 17;
char ibuf[SZ];
char obuf[SZ];
uint32_t pil = 0, pir = 0, por = 0;
struct Pre {
char num[40000];
constexpr Pre() : num() {
for (int i = 0; i < 10000; i++) {
int n = i;
for (int j = 3; j >= 0; j--) {
num[i * 4 + j] = n % 10 + '0';
n /= 10;
}
}
}
} constexpr pre;
__attribute__((target("avx2"), optimize("O3"))) inline void load() {
memcpy(ibuf, ibuf + pil, pir - pil);
pir = pir - pil + fread(ibuf + pir - pil, 1, SZ - pir + pil, stdin);
pil = 0;
}
__attribute__((target("avx2"), optimize("O3"))) inline void flush() {
fwrite(obuf, 1, por, stdout);
por = 0;
}
inline void rd(char& c) { c = ibuf[pil++]; }
template <typename T>
__attribute__((target("avx2"), optimize("O3"))) inline void rd(T& x) {
if (pil + 32 > pir) load();
char c;
do
rd(c);
while (c < '-');
bool minus = 0;
if constexpr (std::is_signed<T>::value) {
if (c == '-') {
minus = 1;
rd(c);
}
}
x = 0;
while (c >= '0') {
x = x * 10 + (c & 15);
rd(c);
}
if constexpr (std::is_signed<T>::value) {
if (minus) x = -x;
}
}
inline void wt(char c) { obuf[por++] = c; }
template <typename T>
__attribute__((target("avx2"), optimize("O3"))) inline void wt(T x) {
if (por + 32 > SZ) flush();
if (!x) {
wt('0');
return;
}
if constexpr (std::is_signed<T>::value) {
if (x < 0) {
wt('-');
x = -x;
}
}
if (x >= 10000000000000000) {
uint32_t r1 = x % 100000000;
uint64_t q1 = x / 100000000;
uint32_t r2 = q1 % 100000000;
uint32_t q2 = q1 / 100000000;
uint32_t n1 = r1 % 10000;
uint32_t n2 = r1 / 10000;
uint32_t n3 = r2 % 10000;
uint32_t n4 = r2 / 10000;
if (x >= 1000000000000000000) {
memcpy(obuf + por, pre.num + (q2 << 2) + 1, 3);
memcpy(obuf + por + 3, pre.num + (n4 << 2), 4);
memcpy(obuf + por + 7, pre.num + (n3 << 2), 4);
memcpy(obuf + por + 11, pre.num + (n2 << 2), 4);
memcpy(obuf + por + 15, pre.num + (n1 << 2), 4);
por += 19;
} else if (x >= 100000000000000000) {
uint32_t q3 = (q2 * 205) >> 11;
uint32_t r3 = q2 - q3 * 10;
obuf[por + 0] = '0' + q3;
obuf[por + 1] = '0' + r3;
memcpy(obuf + por + 2, pre.num + (n4 << 2), 4);
memcpy(obuf + por + 6, pre.num + (n3 << 2), 4);
memcpy(obuf + por + 10, pre.num + (n2 << 2), 4);
memcpy(obuf + por + 14, pre.num + (n1 << 2), 4);
por += 18;
} else {
obuf[por + 0] = '0' + q2;
memcpy(obuf + por + 1, pre.num + (n4 << 2), 4);
memcpy(obuf + por + 5, pre.num + (n3 << 2), 4);
memcpy(obuf + por + 9, pre.num + (n2 << 2), 4);
memcpy(obuf + por + 13, pre.num + (n1 << 2), 4);
por += 17;
}
} else {
int i = 8;
char buf[12];
while (x >= 10000) {
memcpy(buf + i, pre.num + (x % 10000) * 4, 4);
x /= 10000;
i -= 4;
}
if (x < 100) {
if (x < 10) {
wt(char('0' + x));
} else {
obuf[por + 0] = '0' + x / 10;
obuf[por + 1] = '0' + x % 10;
por += 2;
}
} else {
if (x < 1000) {
memcpy(obuf + por, pre.num + (x << 2) + 1, 3);
por += 3;
} else {
memcpy(obuf + por, pre.num + (x << 2), 4);
por += 4;
}
}
memcpy(obuf + por, buf + i + 4, 8 - i);
por += 8 - i;
}
}
struct Dummy {
Dummy() { atexit(flush); }
} dummy;
} // namespace fastio
}
int main() {
std::size_t n, m;
nyaan::fastio::rd(n);
nyaan::fastio::rd(m);
std::vector<mint> a(n), b(m);
for (auto& e : a) {
int v;
nyaan::fastio::rd(v);
e = v;
}
for (auto& e : b) {
int v;
nyaan::fastio::rd(v);
e = v;
}
std::vector<mint> c = suisen::convolution_large(a, b);
for (std::size_t i = 0; i < n + m - 1; ++i) {
nyaan::fastio::wt(c[i].val());
nyaan::fastio::wt('\n');
}
return 0;
}
#line 1 "test/src/convolution/convolution_large/convolution_large.test.cpp"
#define PROBLEM "https://judge.yosupo.jp/problem/convolution_mod_large"
#include <iostream>
#include <cstring>
#line 1 "library/convolution/convolution_large.hpp"
#include <atcoder/convolution>
#line 1 "library/convolution/convolution_naive.hpp"
#include <vector>
namespace suisen::internal {
template <typename T, typename R = T>
std::vector<R> convolution_naive(const std::vector<T>& a, const std::vector<T>& b) {
const int n = a.size(), m = b.size();
std::vector<R> c(n + m - 1);
if (n < m) {
for (int j = 0; j < m; j++) for (int i = 0; i < n; i++) c[i + j] += R(a[i]) * b[j];
} else {
for (int i = 0; i < n; i++) for (int j = 0; j < m; j++) c[i + j] += R(a[i]) * b[j];
}
return c;
}
} // namespace suisen
#line 7 "library/convolution/convolution_large.hpp"
namespace suisen {
template <typename mint, atcoder::internal::is_static_modint_t<mint>* = nullptr>
std::vector<mint> convolution_large(const std::vector<mint>& a, const std::vector<mint>& b) {
static constexpr int max_size = (mint::mod() - 1) & -(mint::mod() - 1);
static constexpr int half_size = max_size >> 1;
static constexpr int inv_max_size = atcoder::internal::inv_gcd(max_size, mint::mod()).second;
const int n = int(a.size()), m = int(b.size());
if (n + m - 1 <= max_size) return atcoder::convolution(a, b);
if (n == 0 or m == 0) return {};
if (std::min(n, m) <= 60) return internal::convolution_naive(a, b);
const int dn = (n + half_size - 1) / half_size;
const int dm = (m + half_size - 1) / half_size;
std::vector<std::vector<mint>> as(dn), bs(dm);
for (int i = 0; i < dn; ++i) {
const int offset = half_size * i;
as[i] = std::vector<mint>(a.begin() + offset, a.begin() + std::min(n, offset + half_size));
as[i].resize(max_size);
atcoder::internal::butterfly(as[i]);
}
for (int j = 0; j < dm; ++j) {
const int offset = half_size * j;
bs[j] = std::vector<mint>(b.begin() + offset, b.begin() + std::min(m, offset + half_size));
bs[j].resize(max_size);
atcoder::internal::butterfly(bs[j]);
}
std::vector<std::vector<mint>> cs(dn + dm - 1, std::vector<mint>(max_size));
for (int i = 0; i < dn; ++i) for (int j = 0; j < dm; ++j) {
for (int k = 0; k < max_size; ++k) cs[i + j][k] += as[i][k] * bs[j][k];
}
std::vector<mint> res(n + m - 1);
for (int i = 0; i < dn + dm - 1; ++i) {
atcoder::internal::butterfly_inv(cs[i]);
const int offset = half_size * i;
const int jmax = std::min(n + m - 1 - offset, max_size);
for (int j = 0; j < jmax; ++j) {
res[offset + j] += cs[i][j] * mint::raw(inv_max_size);
}
}
return res;
}
} // namespace suisen
#line 7 "test/src/convolution/convolution_large/convolution_large.test.cpp"
using mint = atcoder::modint998244353;
std::istream& operator>>(std::istream& in, mint& a) {
long long e; in >> e; a = e;
return in;
}
// from https://judge.yosupo.jp/submission/21623
namespace nyaan {
namespace fastio {
static constexpr uint32_t SZ = 1 << 17;
char ibuf[SZ];
char obuf[SZ];
uint32_t pil = 0, pir = 0, por = 0;
struct Pre {
char num[40000];
constexpr Pre() : num() {
for (int i = 0; i < 10000; i++) {
int n = i;
for (int j = 3; j >= 0; j--) {
num[i * 4 + j] = n % 10 + '0';
n /= 10;
}
}
}
} constexpr pre;
__attribute__((target("avx2"), optimize("O3"))) inline void load() {
memcpy(ibuf, ibuf + pil, pir - pil);
pir = pir - pil + fread(ibuf + pir - pil, 1, SZ - pir + pil, stdin);
pil = 0;
}
__attribute__((target("avx2"), optimize("O3"))) inline void flush() {
fwrite(obuf, 1, por, stdout);
por = 0;
}
inline void rd(char& c) { c = ibuf[pil++]; }
template <typename T>
__attribute__((target("avx2"), optimize("O3"))) inline void rd(T& x) {
if (pil + 32 > pir) load();
char c;
do
rd(c);
while (c < '-');
bool minus = 0;
if constexpr (std::is_signed<T>::value) {
if (c == '-') {
minus = 1;
rd(c);
}
}
x = 0;
while (c >= '0') {
x = x * 10 + (c & 15);
rd(c);
}
if constexpr (std::is_signed<T>::value) {
if (minus) x = -x;
}
}
inline void wt(char c) { obuf[por++] = c; }
template <typename T>
__attribute__((target("avx2"), optimize("O3"))) inline void wt(T x) {
if (por + 32 > SZ) flush();
if (!x) {
wt('0');
return;
}
if constexpr (std::is_signed<T>::value) {
if (x < 0) {
wt('-');
x = -x;
}
}
if (x >= 10000000000000000) {
uint32_t r1 = x % 100000000;
uint64_t q1 = x / 100000000;
uint32_t r2 = q1 % 100000000;
uint32_t q2 = q1 / 100000000;
uint32_t n1 = r1 % 10000;
uint32_t n2 = r1 / 10000;
uint32_t n3 = r2 % 10000;
uint32_t n4 = r2 / 10000;
if (x >= 1000000000000000000) {
memcpy(obuf + por, pre.num + (q2 << 2) + 1, 3);
memcpy(obuf + por + 3, pre.num + (n4 << 2), 4);
memcpy(obuf + por + 7, pre.num + (n3 << 2), 4);
memcpy(obuf + por + 11, pre.num + (n2 << 2), 4);
memcpy(obuf + por + 15, pre.num + (n1 << 2), 4);
por += 19;
} else if (x >= 100000000000000000) {
uint32_t q3 = (q2 * 205) >> 11;
uint32_t r3 = q2 - q3 * 10;
obuf[por + 0] = '0' + q3;
obuf[por + 1] = '0' + r3;
memcpy(obuf + por + 2, pre.num + (n4 << 2), 4);
memcpy(obuf + por + 6, pre.num + (n3 << 2), 4);
memcpy(obuf + por + 10, pre.num + (n2 << 2), 4);
memcpy(obuf + por + 14, pre.num + (n1 << 2), 4);
por += 18;
} else {
obuf[por + 0] = '0' + q2;
memcpy(obuf + por + 1, pre.num + (n4 << 2), 4);
memcpy(obuf + por + 5, pre.num + (n3 << 2), 4);
memcpy(obuf + por + 9, pre.num + (n2 << 2), 4);
memcpy(obuf + por + 13, pre.num + (n1 << 2), 4);
por += 17;
}
} else {
int i = 8;
char buf[12];
while (x >= 10000) {
memcpy(buf + i, pre.num + (x % 10000) * 4, 4);
x /= 10000;
i -= 4;
}
if (x < 100) {
if (x < 10) {
wt(char('0' + x));
} else {
obuf[por + 0] = '0' + x / 10;
obuf[por + 1] = '0' + x % 10;
por += 2;
}
} else {
if (x < 1000) {
memcpy(obuf + por, pre.num + (x << 2) + 1, 3);
por += 3;
} else {
memcpy(obuf + por, pre.num + (x << 2), 4);
por += 4;
}
}
memcpy(obuf + por, buf + i + 4, 8 - i);
por += 8 - i;
}
}
struct Dummy {
Dummy() { atexit(flush); }
} dummy;
} // namespace fastio
}
int main() {
std::size_t n, m;
nyaan::fastio::rd(n);
nyaan::fastio::rd(m);
std::vector<mint> a(n), b(m);
for (auto& e : a) {
int v;
nyaan::fastio::rd(v);
e = v;
}
for (auto& e : b) {
int v;
nyaan::fastio::rd(v);
e = v;
}
std::vector<mint> c = suisen::convolution_large(a, b);
for (std::size_t i = 0; i < n + m - 1; ++i) {
nyaan::fastio::wt(c[i].val());
nyaan::fastio::wt('\n');
}
return 0;
}