This documentation is automatically generated by online-judge-tools/verification-helper
typedef complex<ld> C;
typedef vector<ld> vd;
void fft(vector<C>& a) {
int n = a.size(), L = 31 - __builtin_clz(n);
static vector<complex<ld>> R(2, 1);
static vector<C> rt(2, 1);
for (static int k = 2; k < n; k *= 2) {
R.resize(n), rt.resize(n);
auto x = polar(1.0L, acos(-1.0L) / k);
for (int i = k; i < 2 * k; ++i) rt[i] = R[i] = i & 1 ? R[i / 2] * x : R[i / 2];
}
vi rev(n);
for (int i = 0; i < n; ++i) rev[i] = (rev[i / 2] | (i & 1) << L) / 2;
for (int i = 0; i < n; ++i)
if (i < rev[i]) swap(a[i], a[rev[i]]);
for (int k = 1; k < n; k *= 2) {
for (int i = 0; i < n; i += 2 * k) {
for (int j = 0; j < k; ++j) {
auto x = (ld*) &rt[j + k], y = (ld*) &a[i + j + k];
C z(x[0] * y[0] - x[1] * y[1], x[0] * y[1] + x[1] * y[0]);
a[i + j + k] = a[i + j] - z;
a[i + j] += z;
}
}
}
}
vd convolution(const vd& a, const vd& b) {
if (a.empty() || b.empty()) return {};
vd res(sz(a) + sz(b) - 1);
int L = 32 - __builtin_clz(sz(res)), n = 1 << L;
vector<C> in(n), out(n);
copy(all(a), begin(in));
for (int i = 0; i < sz(b); ++i) in[i].imag(b[i]);
fft(in);
for (C& x : in) x *= x;
for (int i = 0; i < n; ++i) out[i] = in[-i & (n - 1)] - conj(in[i]);
fft(out);
for (int i = 0; i < sz(res); ++i) res[i] = imag(out[i]) / (4 * n);
return res;
}#line 1 "math/FFT.h"
typedef complex<ld> C;
typedef vector<ld> vd;
void fft(vector<C>& a) {
int n = a.size(), L = 31 - __builtin_clz(n);
static vector<complex<ld>> R(2, 1);
static vector<C> rt(2, 1);
for (static int k = 2; k < n; k *= 2) {
R.resize(n), rt.resize(n);
auto x = polar(1.0L, acos(-1.0L) / k);
for (int i = k; i < 2 * k; ++i) rt[i] = R[i] = i & 1 ? R[i / 2] * x : R[i / 2];
}
vi rev(n);
for (int i = 0; i < n; ++i) rev[i] = (rev[i / 2] | (i & 1) << L) / 2;
for (int i = 0; i < n; ++i)
if (i < rev[i]) swap(a[i], a[rev[i]]);
for (int k = 1; k < n; k *= 2) {
for (int i = 0; i < n; i += 2 * k) {
for (int j = 0; j < k; ++j) {
auto x = (ld*) &rt[j + k], y = (ld*) &a[i + j + k];
C z(x[0] * y[0] - x[1] * y[1], x[0] * y[1] + x[1] * y[0]);
a[i + j + k] = a[i + j] - z;
a[i + j] += z;
}
}
}
}
vd convolution(const vd& a, const vd& b) {
if (a.empty() || b.empty()) return {};
vd res(sz(a) + sz(b) - 1);
int L = 32 - __builtin_clz(sz(res)), n = 1 << L;
vector<C> in(n), out(n);
copy(all(a), begin(in));
for (int i = 0; i < sz(b); ++i) in[i].imag(b[i]);
fft(in);
for (C& x : in) x *= x;
for (int i = 0; i < n; ++i) out[i] = in[-i & (n - 1)] - conj(in[i]);
fft(out);
for (int i = 0; i < sz(res); ++i) res[i] = imag(out[i]) / (4 * n);
return res;
}