CP-Algorithms Library

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:heavy_check_mark: Shift of Sampling Points of Polynomial (verify/poly/sampling.test.cpp)

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Code

// @brief Shift of Sampling Points of Polynomial
#define PROBLEM "https://judge.yosupo.jp/problem/shift_of_sampling_points_of_polynomial"
#define CP_ALGO_MAXN 1 << 20
#pragma GCC optimize("Ofast,unroll-loops")
#include "cp-algo/math/poly.hpp"
#include <bits/stdc++.h>

using namespace std;
using namespace cp_algo::math;

const int mod = 998244353;
using base = modint<mod>;
using polyn = poly_t<base>;

// TODO: Use single-convolution approach
void solve() {
    int n, m, c;
    cin >> n >> m >> c;
    vector<base> a(n);
    copy_n(istream_iterator<base>(cin), n, begin(a));
    polyn A = polyn(a);
    polyn Q = polyn({1, -1}).pow(n, n + 1);
    A -= ((A * Q).div_xk(n).mod_xk(m) * Q.inv(m)).mod_xk(m).mul_xk(n);
    A = A.reverse(n + m);
    polyn shift = polyn({1, -1}).pow(c, n).shift(1).mulx(-1);
    auto R = (A.div_xk(n - 1) * shift) + (A.mod_xk(n - 1) * shift).div_xk(n - 1);
    R.div_xk(1).reverse(m).print(m);
}

signed main() {
    //freopen("input.txt", "r", stdin);
    ios::sync_with_stdio(0);
    cin.tie(0);
    int t;
    t = 1;// cin >> t;
    while(t--) {
        solve();
    }
}

#line 1 "verify/poly/sampling.test.cpp"
// @brief Shift of Sampling Points of Polynomial
#define PROBLEM "https://judge.yosupo.jp/problem/shift_of_sampling_points_of_polynomial"
#define CP_ALGO_MAXN 1 << 20
#pragma GCC optimize("Ofast,unroll-loops")
#line 1 "cp-algo/math/poly.hpp"


#line 1 "cp-algo/math/poly/impl/euclid.hpp"


#line 1 "cp-algo/math/affine.hpp"


#include <optional>
#include <utility>
#include <cassert>
#include <tuple>
namespace cp_algo::math {
    // a * x + b
    template<typename base>
    struct lin {
        base a = 1, b = 0;
        std::optional<base> c;
        lin() {}
        lin(base b): a(0), b(b) {}
        lin(base a, base b): a(a), b(b) {}
        lin(base a, base b, base _c): a(a), b(b), c(_c) {}

        // polynomial product modulo x^2 - c
        lin operator * (const lin& t) {
            assert(c && t.c && *c == *t.c);
            return {a * t.b + b * t.a, b * t.b + a * t.a * (*c), *c};
        }

        // a * (t.a * x + t.b) + b
        lin apply(lin const& t) const {
            return {a * t.a, a * t.b + b};
        }

        void prepend(lin const& t) {
            *this = t.apply(*this);
        }

        base eval(base x) const {
            return a * x + b;
        }
    };

    // (ax+b) / (cx+d)
    template<typename base>
    struct linfrac {
        base a, b, c, d;
        linfrac(): a(1), b(0), c(0), d(1) {} // x, identity for composition
        linfrac(base a): a(a), b(1), c(1), d(0) {} // a + 1/x, for continued fractions
        linfrac(base a, base b, base c, base d): a(a), b(b), c(c), d(d) {}

        // composition of two linfracs
        linfrac operator * (linfrac t) const {
            return t.prepend(linfrac(*this));
        }

        linfrac operator-() const {
            return {-a, -b, -c, -d};
        }

        linfrac adj() const {
            return {d, -b, -c, a};
        }
        
        linfrac& prepend(linfrac const& t) {
            t.apply(a, c);
            t.apply(b, d);
            return *this;
        }

        // apply linfrac to A/B
        void apply(base &A, base &B) const {
            std::tie(A, B) = std::pair{a * A + b * B, c * A + d * B};
        }
    };
}

#line 1 "cp-algo/math/fft.hpp"


#line 1 "cp-algo/number_theory/modint.hpp"


#line 1 "cp-algo/math/common.hpp"


#include <functional>
#include <cstdint>
namespace cp_algo::math {
#ifdef CP_ALGO_MAXN
    const int maxn = CP_ALGO_MAXN;
#else
    const int maxn = 1 << 19;
#endif
    const int magic = 64; // threshold for sizes to run the naive algo

    auto bpow(auto const& x, auto n, auto const& one, auto op) {
        if(n == 0) {
            return one;
        } else {
            auto t = bpow(x, n / 2, one, op);
            t = op(t, t);
            if(n % 2) {
                t = op(t, x);
            }
            return t;
        }
    }
    auto bpow(auto x, auto n, auto ans) {
        return bpow(x, n, ans, std::multiplies{});
    }
    template<typename T>
    T bpow(T const& x, auto n) {
        return bpow(x, n, T(1));
    }
}

#line 4 "cp-algo/number_theory/modint.hpp"
#include <iostream>
#line 6 "cp-algo/number_theory/modint.hpp"
namespace cp_algo::math {
    inline constexpr auto inv2(auto x) {
        assert(x % 2);
        std::make_unsigned_t<decltype(x)> y = 1;
        while(y * x != 1) {
            y *= 2 - x * y;
        }
        return y;
    }

    template<typename modint, typename _Int>
    struct modint_base {
        using Int = _Int;
        using UInt = std::make_unsigned_t<Int>;
        static constexpr size_t bits = sizeof(Int) * 8;
        using Int2 = std::conditional_t<bits <= 32, int64_t, __int128_t>;
        using UInt2 = std::conditional_t<bits <= 32, uint64_t, __uint128_t>;
        static Int mod() {
            return modint::mod();
        }
        static UInt imod() {
            return modint::imod();
        }
        static UInt2 pw128() {
            return modint::pw128();
        }
        static UInt m_reduce(UInt2 ab) {
            if(mod() % 2 == 0) [[unlikely]] {
                return UInt(ab % mod());
            } else {
                UInt2 m = (UInt)ab * imod();
                return UInt((ab + m * mod()) >> bits);
            }
        }
        static UInt m_transform(UInt a) {
            if(mod() % 2 == 0) [[unlikely]] {
                return a;
            } else {
                return m_reduce(a * pw128());
            }
        }
        modint_base(): r(0) {}
        modint_base(Int2 rr): r(UInt(rr % mod())) {
            r = std::min(r, r + mod());
            r = m_transform(r);
        }
        modint inv() const {
            return bpow(to_modint(), mod() - 2);
        }
        modint operator - () const {
            modint neg;
            neg.r = std::min(-r, 2 * mod() - r);
            return neg;
        }
        modint& operator /= (const modint &t) {
            return to_modint() *= t.inv();
        }
        modint& operator *= (const modint &t) {
            r = m_reduce((UInt2)r * t.r);
            return to_modint();
        }
        modint& operator += (const modint &t) {
            r += t.r; r = std::min(r, r - 2 * mod());
            return to_modint();
        }
        modint& operator -= (const modint &t) {
            r -= t.r; r = std::min(r, r + 2 * mod());
            return to_modint();
        }
        modint operator + (const modint &t) const {return modint(to_modint()) += t;}
        modint operator - (const modint &t) const {return modint(to_modint()) -= t;}
        modint operator * (const modint &t) const {return modint(to_modint()) *= t;}
        modint operator / (const modint &t) const {return modint(to_modint()) /= t;}
        // Why <=> doesn't work?..
        auto operator == (const modint_base &t) const {return getr() == t.getr();}
        auto operator != (const modint_base &t) const {return getr() != t.getr();}
        auto operator <= (const modint_base &t) const {return getr() <= t.getr();}
        auto operator >= (const modint_base &t) const {return getr() >= t.getr();}
        auto operator < (const modint_base &t) const {return getr() < t.getr();}
        auto operator > (const modint_base &t) const {return getr() > t.getr();}
        Int rem() const {
            UInt R = getr();
            return 2 * R > (UInt)mod() ? R - mod() : R;
        }

        // Only use if you really know what you're doing!
        UInt modmod() const {return (UInt)8 * mod() * mod();};
        void add_unsafe(UInt t) {r += t;}
        void pseudonormalize() {r = std::min(r, r - modmod());}
        modint const& normalize() {
            if(r >= (UInt)mod()) {
                r %= mod();
            }
            return to_modint();
        }
        void setr(UInt rr) {r = m_transform(rr);}
        UInt getr() const {
            UInt res = m_reduce(r);
            return std::min(res, res - mod());
        }
        void setr_direct(UInt rr) {r = rr;}
        UInt getr_direct() const {return r;}
    private:
        UInt r;
        modint& to_modint() {return static_cast<modint&>(*this);}
        modint const& to_modint() const {return static_cast<modint const&>(*this);}
    };
    template<typename modint>
    concept modint_type = std::is_base_of_v<modint_base<modint, typename modint::Int>, modint>;
    template<modint_type modint>
    std::istream& operator >> (std::istream &in, modint &x) {
        typename modint::UInt r;
        auto &res = in >> r;
        x.setr(r);
        return res;
    }
    template<modint_type modint>
    std::ostream& operator << (std::ostream &out, modint const& x) {
        return out << x.getr();
    }

    template<auto m>
    struct modint: modint_base<modint<m>, decltype(m)> {
        using Base = modint_base<modint<m>, decltype(m)>;
        using Base::Base;
        static constexpr Base::UInt im = m % 2 ? inv2(-m) : 0;
        static constexpr Base::UInt r2 = (typename Base::UInt2)(-1) % m + 1;
        static constexpr Base::Int mod() {return m;}
        static constexpr Base::UInt imod() {return im;}
        static constexpr Base::UInt2 pw128() {return r2;}
    };

    template<typename Int = int64_t>
    struct dynamic_modint: modint_base<dynamic_modint<Int>, Int> {
        using Base = modint_base<dynamic_modint<Int>, Int>;
        using Base::Base;
        static Int mod() {return m;}
        static Base::UInt imod() {return im;}
        static Base::UInt2 pw128() {return r2;}
        static void switch_mod(Int nm) {
            m = nm;
            im = m % 2 ? inv2(-m) : 0;
            r2 = static_cast<Base::UInt>(static_cast<Base::UInt2>(-1) % m + 1);
        }

        // Wrapper for temp switching
        auto static with_mod(Int tmp, auto callback) {
            struct scoped {
                Int prev = mod();
                ~scoped() {switch_mod(prev);}
            } _;
            switch_mod(tmp);
            return callback();
        }
    private:
        static thread_local Int m;
        static thread_local Base::UInt im, r2;
    };
    template<typename Int>
    Int thread_local dynamic_modint<Int>::m = 1;
    template<typename Int>
    dynamic_modint<Int>::Base::UInt thread_local dynamic_modint<Int>::im = -1;
    template<typename Int>
    dynamic_modint<Int>::Base::UInt thread_local dynamic_modint<Int>::r2 = 0;
}

#line 1 "cp-algo/math/cvector.hpp"


#line 1 "cp-algo/util/complex.hpp"


#include <cmath>
namespace cp_algo {
    // Custom implementation, since std::complex is UB on non-floating types
    template<typename T>
    struct complex {
        using value_type = T;
        T x, y;
        constexpr complex() {}
        constexpr complex(T x): x(x), y(0) {}
        constexpr complex(T x, T y): x(x), y(y) {}
        complex& operator *= (T t) {x *= t; y *= t; return *this;}
        complex& operator /= (T t) {x /= t; y /= t; return *this;}
        complex operator * (T t) const {return complex(*this) *= t;}
        complex operator / (T t) const {return complex(*this) /= t;}
        complex& operator += (complex t) {x += t.x; y += t.y; return *this;}
        complex& operator -= (complex t) {x -= t.x; y -= t.y; return *this;}
        complex operator * (complex t) const {return {x * t.x - y * t.y, x * t.y + y * t.x};}
        complex operator / (complex t) const {return *this * t.conj() / t.norm();}
        complex operator + (complex t) const {return complex(*this) += t;}
        complex operator - (complex t) const {return complex(*this) -= t;}
        complex& operator *= (complex t) {return *this = *this * t;}
        complex& operator /= (complex t) {return *this = *this / t;}
        complex operator - () const {return {-x, -y};}
        complex conj() const {return {x, -y};}
        T norm() const {return x * x + y * y;}
        T abs() const {return std::sqrt(norm());}
        T real() const {return x;}
        T imag() const {return y;}
        T& real() {return x;}
        T& imag() {return y;}
        static complex polar(T r, T theta) {return {r * cos(theta), r * sin(theta)};}
        auto operator <=> (complex const& t) const = default;
    };
    template<typename T>
    complex<T> operator * (auto x, complex<T> y) {return y *= x;}
    template<typename T> complex<T> conj(complex<T> x) {return x.conj();}
    template<typename T> T norm(complex<T> x) {return x.norm();}
    template<typename T> T abs(complex<T> x) {return x.abs();}
    template<typename T> T& real(complex<T> &x) {return x.real();}
    template<typename T> T& imag(complex<T> &x) {return x.imag();}
    template<typename T> T real(complex<T> const& x) {return x.real();}
    template<typename T> T imag(complex<T> const& x) {return x.imag();}
    template<typename T> complex<T> polar(T r, T theta) {return complex<T>::polar(r, theta);}
}

#line 4 "cp-algo/math/cvector.hpp"
#include <experimental/simd>
namespace cp_algo::math::fft {
    using ftype = double;
    using point = complex<ftype>;
    using vftype = std::experimental::native_simd<ftype>;
    using vpoint = complex<vftype>;
    static constexpr size_t flen = vftype::size();

    struct cvector {
        static constexpr size_t pre_roots = 1 << 18;
        std::vector<vftype> x, y;
        cvector(size_t n) {
            n = std::max(flen, std::bit_ceil(n));
            x.resize(n / flen);
            y.resize(n / flen);
        }
        template<class pt = point>
        void set(size_t k, pt t) {
            if constexpr(std::is_same_v<pt, point>) {
                x[k / flen][k % flen] = real(t);
                y[k / flen][k % flen] = imag(t);
            } else {
                x[k / flen] = real(t);
                y[k / flen] = imag(t);
            }
        }
        template<class pt = point>
        pt get(size_t k) const {
            if constexpr(std::is_same_v<pt, point>) {
                return {x[k / flen][k % flen], y[k / flen][k % flen]};
            } else {
                return {x[k / flen], y[k / flen]};
            }
        }
        vpoint vget(size_t k) const {
            return get<vpoint>(k);
        }

        size_t size() const {
            return flen * std::size(x);
        }
        void dot(cvector const& t) {
            size_t n = size();
            for(size_t k = 0; k < n; k += flen) {
                set(k, get<vpoint>(k) * t.get<vpoint>(k));
            }
        }
        static const cvector roots;
        template< bool precalc = false, class ft = point>
        static auto root(size_t n, size_t k, ft &&arg) {
            if(n < pre_roots && !precalc) {
                return roots.get<complex<ft>>(n + k);
            } else {
                return complex<ft>::polar(1., arg);
            }
        }
        template<class pt = point, bool precalc = false>
        static void exec_on_roots(size_t n, size_t m, auto &&callback) {
            ftype arg = std::numbers::pi / (ftype)n;
            size_t step = sizeof(pt) / sizeof(point);
            using ft = pt::value_type;
            auto k = [&]() {
                if constexpr(std::is_same_v<pt, point>) {
                    return ft{};
                } else {
                    return ft{[](auto i) {return i;}};
                }
            }();
            for(size_t i = 0; i < m; i += step, k += (ftype)step) {
                callback(i, root<precalc>(n, i, arg * k));
            }
        }

        void ifft() {
            size_t n = size();
            for(size_t i = 1; i < n; i *= 2) {
                for(size_t j = 0; j < n; j += 2 * i) {
                    auto butterfly = [&]<class pt>(size_t k, pt rt) {
                        k += j;
                        auto t = get<pt>(k + i) * conj(rt);
                        set(k + i, get<pt>(k) - t);
                        set(k, get<pt>(k) + t);
                    };
                    if(i < flen) {
                        exec_on_roots<point>(i, i, butterfly);
                    } else {
                        exec_on_roots<vpoint>(i, i, butterfly);
                    }
                }
            }
            for(size_t k = 0; k < n; k += flen) {
                set(k, get<vpoint>(k) /= (ftype)n);
            }
        }
        void fft() {
            size_t n = size();
            for(size_t i = n / 2; i >= 1; i /= 2) {
                for(size_t j = 0; j < n; j += 2 * i) {
                    auto butterfly = [&]<class pt>(size_t k, pt rt) {
                        k += j;
                        auto A = get<pt>(k) + get<pt>(k + i);
                        auto B = get<pt>(k) - get<pt>(k + i);
                        set(k, A);
                        set(k + i, B * rt);
                    };
                    if(i < flen) {
                        exec_on_roots<point>(i, i, butterfly);
                    } else {
                        exec_on_roots<vpoint>(i, i, butterfly);
                    }
                }
            }
        }
    };
    const cvector cvector::roots = []() {
        cvector res(pre_roots);
        for(size_t n = 1; n < res.size(); n *= 2) {
            auto propagate = [&](size_t k, auto rt) {
                res.set(n + k, rt);
            };
            if(n < flen) {
                res.exec_on_roots<point, true>(n, n, propagate);
            } else {
                res.exec_on_roots<vpoint, true>(n, n, propagate);
            }
        }
        return res;
    }();
}

#line 5 "cp-algo/math/fft.hpp"
#include <ranges>
namespace cp_algo::math::fft {
    template<typename base>
    struct dft {
        cvector A;
        
        dft(std::vector<base> const& a, size_t n): A(n) {
            for(size_t i = 0; i < std::min(n, a.size()); i++) {
                A.set(i, a[i]);
            }
            if(n) {
                A.fft();
            }
        }

        std::vector<base> operator *= (dft const& B) {
            assert(A.size() == B.A.size());
            size_t n = A.size();
            if(!n) {
                return std::vector<base>();
            }
            A.dot(B.A);
            A.ifft();
            std::vector<base> res(n);
            for(size_t k = 0; k < n; k++) {
                res[k] = A.get(k);
            }
            return res;
        }

        auto operator * (dft const& B) const {
            return dft(*this) *= B;
        }

        point operator [](int i) const {return A.get(i);}
    };

    template<modint_type base>
    struct dft<base> {
        int split;
        cvector A, B;
        
        dft(auto const& a, size_t n): A(n), B(n) {
            split = int(std::sqrt(base::mod()));
            cvector::exec_on_roots(2 * n, size(a), [&](size_t i, point rt) {
                size_t ti = std::min(i, i - n);
                A.set(ti, A.get(ti) + ftype(a[i].rem() % split) * rt);
                B.set(ti, B.get(ti) + ftype(a[i].rem() / split) * rt);
    
            });
            if(n) {
                A.fft();
                B.fft();
            }
        }

        void mul(auto &&C, auto const& D, auto &res, size_t k) {
            assert(A.size() == C.size());
            size_t n = A.size();
            if(!n) {
                res = {};
                return;
            }
            for(size_t i = 0; i < n; i += flen) {
                auto tmp = A.vget(i) * D.vget(i) + B.vget(i) * C.vget(i);
                A.set(i, A.vget(i) * C.vget(i));
                B.set(i, B.vget(i) * D.vget(i));
                C.set(i, tmp);
            }
            A.ifft();
            B.ifft();
            C.ifft();
            auto splitsplit = (base(split) * split).rem();
            cvector::exec_on_roots(2 * n, std::min(n, k), [&](size_t i, point rt) {
                rt = conj(rt);
                auto Ai = A.get(i) * rt;
                auto Bi = B.get(i) * rt;
                auto Ci = C.get(i) * rt;
                int64_t A0 = llround(real(Ai));
                int64_t A1 = llround(real(Ci));
                int64_t A2 = llround(real(Bi));
                res[i] = A0 + A1 * split + A2 * splitsplit;
                if(n + i >= k) {
                    return;
                }
                int64_t B0 = llround(imag(Ai));
                int64_t B1 = llround(imag(Ci));
                int64_t B2 = llround(imag(Bi));
                res[n + i] = B0 + B1 * split + B2 * splitsplit;
            });
        }
        void mul_inplace(auto &&B, auto& res, size_t k) {
            mul(B.A, B.B, res, k);
        }
        void mul(auto const& B, auto& res, size_t k) {
            mul(cvector(B.A), B.B, res, k);
        }
        std::vector<base> operator *= (dft &B) {
            std::vector<base> res(2 * A.size());
            mul_inplace(B, res, size(res));
            return res;
        }
        std::vector<base> operator *= (dft const& B) {
            std::vector<base> res(2 * A.size());
            mul(B, res, size(res));
            return res;
        }
        auto operator * (dft const& B) const {
            return dft(*this) *= B;
        }
        
        point operator [](int i) const {return A.get(i);}
    };
    
    void mul_slow(auto &a, auto const& b, size_t k) {
        if(empty(a) || empty(b)) {
            a.clear();
        } else {
            size_t n = std::min(k, size(a));
            size_t m = std::min(k, size(b));
            a.resize(k);
            for(int j = int(k - 1); j >= 0; j--) {
                a[j] *= b[0];
                for(int i = std::max(j - (int)n, 0) + 1; i < std::min(j + 1, (int)m); i++) {
                    a[j] += a[j - i] * b[i];
                }
            }
        }
    }
    size_t com_size(size_t as, size_t bs) {
        if(!as || !bs) {
            return 0;
        }
        return std::max(flen, std::bit_ceil(as + bs - 1) / 2);
    }
    void mul_truncate(auto &a, auto const& b, size_t k) {
        using base = std::decay_t<decltype(a[0])>;
        if(std::min({k, size(a), size(b)}) < magic) {
            mul_slow(a, b, k);
            return;
        }
        auto n = std::max(flen, std::bit_ceil(
            std::min(k, size(a)) + std::min(k, size(b)) - 1
        ) / 2);
        a.resize(k);
        auto A = dft<base>(a, n);
        if(&a == &b) {
            A.mul(A, a, k);
        } else {
            A.mul_inplace(dft<base>(b | std::views::take(k), n), a, k);
        }
    }
    void mul(auto &a, auto const& b) {
        if(size(a)) {
            mul_truncate(a, b, size(a) + size(b) - 1);
        }
    }
}

#line 6 "cp-algo/math/poly/impl/euclid.hpp"
#include <algorithm>
#include <numeric>
#line 9 "cp-algo/math/poly/impl/euclid.hpp"
#include <vector>
#line 11 "cp-algo/math/poly/impl/euclid.hpp"
#include <list>
// operations related to gcd and Euclidean algo
namespace cp_algo::math::poly::impl {
    template<typename poly>
    using gcd_result = std::pair<
        std::list<std::decay_t<poly>>,
        linfrac<std::decay_t<poly>>>;

    template<typename poly>
    gcd_result<poly> half_gcd(poly &&A, poly &&B) {
        assert(A.deg() >= B.deg());
        size_t m = size(A.a) / 2;
        if(B.deg() < (int)m) {
            return {};
        }
        auto [ai, R] = A.divmod(B);
        std::tie(A, B) = {B, R};
        std::list a = {ai};
        auto T = -linfrac(ai).adj();

        auto advance = [&](size_t k) {
            auto [ak, Tk] = half_gcd(A.div_xk(k), B.div_xk(k));
            a.splice(end(a), ak);
            T.prepend(Tk);
            return Tk;
        };
        advance(m).apply(A, B);
        if constexpr (std::is_reference_v<poly>) {
            advance(2 * m - A.deg()).apply(A, B);
        } else {
            advance(2 * m - A.deg());
        }
        return {std::move(a), std::move(T)};
    }
    template<typename poly>
    gcd_result<poly> full_gcd(poly &&A, poly &&B) {
        using poly_t = std::decay_t<poly>;
        std::list<poly_t> ak;
        std::vector<linfrac<poly_t>> trs;
        while(!B.is_zero()) {
            auto [a0, R] = A.divmod(B);
            ak.push_back(a0);
            trs.push_back(-linfrac(a0).adj());
            std::tie(A, B) = {B, R};

            auto [a, Tr] = half_gcd(A, B);
            ak.splice(end(ak), a);
            trs.push_back(Tr);
        }
        return {ak, std::accumulate(rbegin(trs), rend(trs), linfrac<poly_t>{}, std::multiplies{})};
    }

    // computes product of linfrac on [L, R)
    auto convergent(auto L, auto R) {
        using poly = decltype(L)::value_type;
        if(R == next(L)) {
            return linfrac(*L);
        } else {
            int s = std::transform_reduce(L, R, 0, std::plus{}, std::mem_fn(&poly::deg));
            auto M = L;
            for(int c = M->deg(); 2 * c <= s; M++) {
                c += next(M)->deg();
            }
            return convergent(L, M) * convergent(M, R);
        }
    }
    template<typename poly>
    poly min_rec(poly const& p, size_t d) {
        auto R2 = p.mod_xk(d).reversed(d), R1 = poly::xk(d);
        if(R2.is_zero()) {
            return poly(1);
        }
        auto [a, Tr] = full_gcd(R1, R2);
        a.emplace_back();
        auto pref = begin(a);
        for(int delta = (int)d - a.front().deg(); delta >= 0; pref++) {
            delta -= pref->deg() + next(pref)->deg();
        }
        return convergent(begin(a), pref).a;
    }

    template<typename poly>
    std::optional<poly> inv_mod(poly p, poly q) {
        assert(!q.is_zero());
        auto [a, Tr] = full_gcd(q, p);
        if(q.deg() != 0) {
            return std::nullopt;
        }
        return Tr.b / q[0];
    }
}

#line 1 "cp-algo/math/poly/impl/div.hpp"


#line 6 "cp-algo/math/poly/impl/div.hpp"
// operations related to polynomial division
namespace cp_algo::math::poly::impl {
    auto divmod_slow(auto const& p, auto const& q) {
        auto R = p;
        auto D = decltype(p){};
        auto q_lead_inv = q.lead().inv();
        while(R.deg() >= q.deg()) {
            D.a.push_back(R.lead() * q_lead_inv);
            if(D.lead() != 0) {
                for(size_t i = 1; i <= q.a.size(); i++) {
                    R.a[R.a.size() - i] -= D.lead() * q.a[q.a.size() - i];
                }
            }
            R.a.pop_back();
        }
        std::ranges::reverse(D.a);
        R.normalize();
        return std::array{D, R};
    }
    template<typename poly>
    auto divmod_hint(poly const& p, poly const& q, poly const& qri) {
        assert(!q.is_zero());
        int d = p.deg() - q.deg();
        if(std::min(d, q.deg()) < magic) {
            return divmod_slow(p, q);
        }
        poly D;
        if(d >= 0) {
            D = (p.reversed().mod_xk(d + 1) * qri.mod_xk(d + 1)).mod_xk(d + 1).reversed(d + 1);
        }
        return std::array{D, p - D * q};
    }
    auto divmod(auto const& p, auto const& q) {
        assert(!q.is_zero());
        int d = p.deg() - q.deg();
        if(std::min(d, q.deg()) < magic) {
            return divmod_slow(p, q);
        }
        return divmod_hint(p, q, q.reversed().inv(d + 1));
    }

    template<typename poly>
    poly powmod_hint(poly const& p, int64_t k, poly const& md, poly const& mdri) {
        return bpow(p, k, poly(1), [&](auto const& p, auto const& q){
            return divmod_hint(p * q, md, mdri)[1];
        });
    }
    template<typename poly>
    auto powmod(poly const& p, int64_t k, poly const& md) {
        int d = md.deg();
        if(p == poly::xk(1) && false) { // does it actually speed anything up?..
            if(k < md.deg()) {
                return poly::xk(k);
            } else {
                auto mdr = md.reversed();
                return (mdr.inv(k - md.deg() + 1, md.deg()) * mdr).reversed(md.deg());
            }
        }
        if(md == poly::xk(d)) {
            return p.pow(k, d);
        }
        if(md == poly::xk(d) - poly(1)) {
            return p.powmod_circular(k, d);
        }
        return powmod_hint(p, k, md, md.reversed().inv(md.deg() + 1));
    }
    template<typename poly>
    poly& inv_inplace(poly& q, int64_t k, size_t n) {
        using poly_t = std::decay_t<poly>;
        using base = poly_t::base;
        if(k <= std::max<int64_t>(n, size(q.a))) {
            return q.inv_inplace(k + n).div_xk_inplace(k);
        }
        if(k % 2) {
            return inv_inplace(q, k - 1, n + 1).div_xk_inplace(1);
        }
        auto [q0, q1] = q.bisect();
        auto qq = q0 * q0 - (q1 * q1).mul_xk_inplace(1);
        inv_inplace(qq, k / 2 - q.deg() / 2, (n + 1) / 2 + q.deg() / 2);
        size_t N = fft::com_size(size(q0.a), size(qq.a));
        auto q0f = fft::dft<base>(q0.a, N);
        auto q1f = fft::dft<base>(q1.a, N);
        auto qqf = fft::dft<base>(qq.a, N);
        size_t M = q0.deg() + (n + 1) / 2;
        std::vector<base> A(M), B(M);
        q0f.mul(qqf, A, M);
        q1f.mul_inplace(qqf, B, M);
        q.a.resize(n + 1);
        for(size_t i = 0; i < n; i += 2) {
            q.a[i] = A[q0.deg() + i / 2];
            q.a[i + 1] = -B[q0.deg() + i / 2];
        }
        q.a.pop_back();
        q.normalize();
        return q;
    }
    template<typename poly>
    poly& inv_inplace(poly& p, size_t n) {
        using poly_t = std::decay_t<poly>;
        using base = poly_t::base;
        if(n == 1) {
            return p = base(1) / p[0];
        }
        // Q(-x) = P0(x^2) + xP1(x^2)
        auto [q0, q1] = p.bisect(n);
        
        size_t N = fft::com_size(size(q0.a), (n + 1) / 2);
        
        auto q0f = fft::dft<base>(q0.a, N);
        auto q1f = fft::dft<base>(q1.a, N);

        // Q(x)*Q(-x) = Q0(x^2)^2 - x^2 Q1(x^2)^2
        auto qq = poly_t(q0f * q0f) - poly_t(q1f * q1f).mul_xk_inplace(1);

        inv_inplace(qq, (n + 1) / 2);
        auto qqf = fft::dft<base>(qq.a, N);
        
        std::vector<base> A((n + 1) / 2), B((n + 1) / 2);
        q0f.mul(qqf, A, (n + 1) / 2);
        q1f.mul_inplace(qqf, B, (n + 1) / 2);
        p.a.resize(n + 1);
        for(size_t i = 0; i < n; i += 2) {
            p.a[i] = A[i / 2];
            p.a[i + 1] = -B[i / 2];
        }
        p.a.pop_back();
        p.normalize();
        return p;
    }
}

#line 1 "cp-algo/math/combinatorics.hpp"


#line 5 "cp-algo/math/combinatorics.hpp"
namespace cp_algo::math {
    // fact/rfact/small_inv are caching
    // Beware of usage with dynamic mod
    template<typename T>
    T fact(int n) {
        static std::vector<T> F(maxn);
        static bool init = false;
        if(!init) {
            F[0] = T(1);
            for(int i = 1; i < maxn; i++) {
                F[i] = F[i - 1] * T(i);
            }
            init = true;
        }
        return F[n];
    }
    // Only works for modint types
    template<typename T>
    T rfact(int n) {
        static std::vector<T> F(maxn);
        static bool init = false;
        if(!init) {
            int t = (int)std::min<int64_t>(T::mod(), maxn) - 1;
            F[t] = T(1) / fact<T>(t);
            for(int i = t - 1; i >= 0; i--) {
                F[i] = F[i + 1] * T(i + 1);
            }
            init = true;
        }
        return F[n];
    }
    template<typename T>
    T small_inv(int n) {
        static std::vector<T> F(maxn);
        static bool init = false;
        if(!init) {
            for(int i = 1; i < maxn; i++) {
                F[i] = rfact<T>(i) * fact<T>(i - 1);
            }
            init = true;
        }
        return F[n];
    }
    template<typename T>
    T binom_large(T n, int r) {
        assert(r < maxn);
        T ans = 1;
        for(int i = 0; i < r; i++) {
            ans = ans * T(n - i) * small_inv<T>(i + 1);
        }
        return ans;
    }
    template<typename T>
    T binom(int n, int r) {
        if(r < 0 || r > n) {
            return T(0);
        } else if(n >= maxn) {
            return binom_large(T(n), r);
        } else {
            return fact<T>(n) * rfact<T>(r) * rfact<T>(n - r);
        }
    }
}

#line 1 "cp-algo/number_theory/discrete_sqrt.hpp"


#line 1 "cp-algo/random/rng.hpp"


#include <chrono>
#include <random>
namespace cp_algo::random {
    uint64_t rng() {
        static std::mt19937_64 rng(
            std::chrono::steady_clock::now().time_since_epoch().count()
        );
        return rng();
    }
}

#line 6 "cp-algo/number_theory/discrete_sqrt.hpp"
namespace cp_algo::math {
    // https://en.wikipedia.org/wiki/Berlekamp-Rabin_algorithm
    template<modint_type base>
    std::optional<base> sqrt(base b) {
        if(b == base(0)) {
            return base(0);
        } else if(bpow(b, (b.mod() - 1) / 2) != base(1)) {
            return std::nullopt;
        } else {
            while(true) {
                base z = random::rng();
                if(z * z == b) {
                    return z;
                }
                lin<base> x(1, z, b); // x + z (mod x^2 - b)
                x = bpow(x, (b.mod() - 1) / 2, lin<base>(0, 1, b));
                if(x.a != base(0)) {
                    return x.a.inv();
                }
            }
        }
    }
}

#line 15 "cp-algo/math/poly.hpp"
namespace cp_algo::math {
    template<typename T>
    struct poly_t {
        using base = T;
        std::vector<T> a;
        
        poly_t& normalize() {
            while(deg() >= 0 && lead() == base(0)) {
                a.pop_back();
            }
            return *this;
        }
        
        poly_t(){}
        poly_t(T a0): a{a0} {normalize();}
        poly_t(std::vector<T> const& t): a(t) {normalize();}
        poly_t(std::vector<T>&& t): a(std::move(t)) {normalize();}
        
        poly_t& negate_inplace() {
            std::ranges::transform(a, begin(a), std::negate{});
            return *this;
        }
        poly_t operator -() const {
            return poly_t(*this).negate_inplace();
        }
        poly_t& operator += (poly_t const& t) {
            a.resize(std::max(size(a), size(t.a)));
            std::ranges::transform(a, t.a, begin(a), std::plus{});
            return normalize();
        }
        poly_t& operator -= (poly_t const& t) {
            a.resize(std::max(size(a), size(t.a)));
            std::ranges::transform(a, t.a, begin(a), std::minus{});
            return normalize();
        }
        poly_t operator + (poly_t const& t) const {return poly_t(*this) += t;}
        poly_t operator - (poly_t const& t) const {return poly_t(*this) -= t;}
        
        poly_t& mod_xk_inplace(size_t k) {
            a.resize(std::min(size(a), k));
            return normalize();
        }
        poly_t& mul_xk_inplace(size_t k) {
            a.insert(begin(a), k, T(0));
            return normalize();
        }
        poly_t& div_xk_inplace(int64_t k) {
            if(k < 0) {
                return mul_xk_inplace(-k);
            }
            a.erase(begin(a), begin(a) + std::min<size_t>(k, size(a)));
            return normalize();
        }
        poly_t &substr_inplace(size_t l, size_t k) {
            return mod_xk_inplace(l + k).div_xk_inplace(l);
        }
        poly_t mod_xk(size_t k) const {return poly_t(*this).mod_xk_inplace(k);}
        poly_t mul_xk(size_t k) const {return poly_t(*this).mul_xk_inplace(k);}
        poly_t div_xk(int64_t k) const {return poly_t(*this).div_xk_inplace(k);}
        poly_t substr(size_t l, size_t k) const {return poly_t(*this).substr_inplace(l, k);}
        
        poly_t& operator *= (const poly_t &t) {fft::mul(a, t.a); normalize(); return *this;}
        poly_t operator * (const poly_t &t) const {return poly_t(*this) *= t;}

        poly_t& operator /= (const poly_t &t) {return *this = divmod(t)[0];}
        poly_t& operator %= (const poly_t &t) {return *this = divmod(t)[1];}
        poly_t operator / (poly_t const& t) const {return poly_t(*this) /= t;}
        poly_t operator % (poly_t const& t) const {return poly_t(*this) %= t;}

        poly_t& operator *= (T const& x) {
            for(auto &it: a) {
                it *= x;
            }
            return normalize();
        }
        poly_t& operator /= (T const& x) {return *this *= x.inv();}
        poly_t operator * (T const& x) const {return poly_t(*this) *= x;}
        poly_t operator / (T const& x) const {return poly_t(*this) /= x;}
        
        poly_t& reverse(size_t n) {
            a.resize(n);
            std::ranges::reverse(a);
            return normalize();
        }
        poly_t& reverse() {return reverse(size(a));}
        poly_t reversed(size_t n) const {return poly_t(*this).reverse(n);}
        poly_t reversed() const {return poly_t(*this).reverse();}
        
        std::array<poly_t, 2> divmod(poly_t const& b) const {
            return poly::impl::divmod(*this, b);
        }
        
        // reduces A/B to A'/B' such that
        // deg B' < deg A / 2
        static std::pair<std::list<poly_t>, linfrac<poly_t>> half_gcd(auto &&A, auto &&B) {
            return poly::impl::half_gcd(A, B);
        }
        // reduces A / B to gcd(A, B) / 0
        static std::pair<std::list<poly_t>, linfrac<poly_t>> full_gcd(auto &&A, auto &&B) {
            return poly::impl::full_gcd(A, B);
        }
        static poly_t gcd(poly_t &&A, poly_t &&B) {
            full_gcd(A, B);
            return A;
        }
        
        // Returns a (non-monic) characteristic polynomial
        // of the minimum linear recurrence for the sequence
        poly_t min_rec(size_t d) const {
            return poly::impl::min_rec(*this, d);
        }
        
        // calculate inv to *this modulo t
        std::optional<poly_t> inv_mod(poly_t const& t) const {
            return poly::impl::inv_mod(*this, t);
        };
        
        poly_t negx() const { // A(x) -> A(-x)
            auto res = *this;
            for(int i = 1; i <= deg(); i += 2) {
                res.a[i] = -res[i];
            }
            return res;
        }
        
        void print(int n) const {
            for(int i = 0; i < n; i++) {
                std::cout << (*this)[i] << ' ';
            }
            std::cout << "\n";
        }
        
        void print() const {
            print(deg() + 1);
        }
        
        T eval(T x) const { // evaluates in single point x
            T res(0);
            for(int i = deg(); i >= 0; i--) {
                res *= x;
                res += a[i];
            }
            return res;
        }
        
        T lead() const { // leading coefficient
            assert(!is_zero());
            return a.back();
        }
        
        int deg() const { // degree, -1 for P(x) = 0
            return (int)a.size() - 1;
        }
        
        bool is_zero() const {
            return a.empty();
        }
        
        T operator [](int idx) const {
            return idx < 0 || idx > deg() ? T(0) : a[idx];
        }
        
        T& coef(size_t idx) { // mutable reference at coefficient
            return a[idx];
        }
        
        bool operator == (const poly_t &t) const {return a == t.a;}
        bool operator != (const poly_t &t) const {return a != t.a;}
        
        poly_t& deriv_inplace(int k = 1) {
            if(deg() + 1 < k) {
                return *this = poly_t{};
            }
            for(int i = k; i <= deg(); i++) {
                a[i - k] = fact<T>(i) * rfact<T>(i - k) * a[i];
            }
            a.resize(deg() + 1 - k);
            return *this;
        }
        poly_t deriv(int k = 1) const { // calculate derivative
            return poly_t(*this).deriv_inplace(k);
        }

        poly_t& integr_inplace() {
            a.push_back(0);
            for(int i = deg() - 1; i >= 0; i--) {
                a[i + 1] = a[i] * small_inv<T>(i + 1);
            }
            a[0] = 0;
            return *this;
        }
        poly_t integr() const { // calculate integral with C = 0
            std::vector<T> res(deg() + 2);
            for(int i = 0; i <= deg(); i++) {
                res[i + 1] = a[i] * small_inv<T>(i + 1);
            }
            return res;
        }
        
        size_t trailing_xk() const { // Let p(x) = x^k * t(x), return k
            if(is_zero()) {
                return -1;
            }
            int res = 0;
            while(a[res] == T(0)) {
                res++;
            }
            return res;
        }
        
        // calculate log p(x) mod x^n
        poly_t& log_inplace(size_t n) {
            assert(a[0] == T(1));
            mod_xk_inplace(n);
            return (inv_inplace(n) *= mod_xk_inplace(n).deriv()).mod_xk_inplace(n - 1).integr_inplace();
        }
        poly_t log(size_t n) const {
            return poly_t(*this).log_inplace(n);
        }
        
        poly_t& mul_truncate(poly_t const& t, size_t k) {
            fft::mul_truncate(a, t.a, k);
            return normalize();
        }

        poly_t& exp_inplace(size_t n) {
            if(is_zero()) {
                return *this = T(1);
            }
            assert(a[0] == T(0));
            a[0] = 1;
            size_t a = 1;
            while(a < n) {
                poly_t C = log(2 * a).div_xk_inplace(a) - substr(a, 2 * a);
                *this -= C.mul_truncate(*this, a).mul_xk_inplace(a);
                a *= 2;
            }
            return mod_xk_inplace(n);
        }

        poly_t exp(size_t n) const { // calculate exp p(x) mod x^n
            return poly_t(*this).exp_inplace(n);
        }
        
        poly_t pow_bin(int64_t k, size_t n) const { // O(n log n log k)
            if(k == 0) {
                return poly_t(1).mod_xk(n);
            } else {
                auto t = pow(k / 2, n);
                t = (t * t).mod_xk(n);
                return (k % 2 ? *this * t : t).mod_xk(n);
            }
        }

        poly_t circular_closure(size_t m) const {
            if(deg() == -1) {
                return *this;
            }
            auto t = *this;
            for(size_t i = t.deg(); i >= m; i--) {
                t.a[i - m] += t.a[i];
            }
            t.a.resize(std::min(t.a.size(), m));
            return t;
        }

        static poly_t mul_circular(poly_t const& a, poly_t const& b, size_t m) {
            return (a.circular_closure(m) * b.circular_closure(m)).circular_closure(m);
        }

        poly_t powmod_circular(int64_t k, size_t m) const {
            if(k == 0) {
                return poly_t(1);
            } else {
                auto t = powmod_circular(k / 2, m);
                t = mul_circular(t, t, m);
                if(k % 2) {
                    t = mul_circular(t, *this, m);
                }
                return t;
            }
        }
        
        poly_t powmod(int64_t k, poly_t const& md) const {
            return poly::impl::powmod(*this, k, md);
        }
        
        // O(d * n) with the derivative trick from
        // https://codeforces.com/blog/entry/73947?#comment-581173
        poly_t pow_dn(int64_t k, size_t n) const {
            if(n == 0) {
                return poly_t(T(0));
            }
            assert((*this)[0] != T(0));
            std::vector<T> Q(n);
            Q[0] = bpow(a[0], k);
            auto a0inv = a[0].inv();
            for(int i = 1; i < (int)n; i++) {
                for(int j = 1; j <= std::min(deg(), i); j++) {
                    Q[i] += a[j] * Q[i - j] * (T(k) * T(j) - T(i - j));
                }
                Q[i] *= small_inv<T>(i) * a0inv;
            }
            return Q;
        }
        
        // calculate p^k(n) mod x^n in O(n log n)
        // might be quite slow due to high constant
        poly_t pow(int64_t k, size_t n) const {
            if(is_zero()) {
                return k ? *this : poly_t(1);
            }
            size_t i = trailing_xk();
            if(i > 0) {
                return k >= int64_t(n + i - 1) / (int64_t)i ? poly_t(T(0)) : div_xk(i).pow(k, n - i * k).mul_xk(i * k);
            }
            if(std::min(deg(), (int)n) <= magic) {
                return pow_dn(k, n);
            }
            if(k <= magic) {
                return pow_bin(k, n);
            }
            T j = a[i];
            poly_t t = *this / j;
            return bpow(j, k) * (t.log(n) * T(k)).exp(n).mod_xk(n);
        }
        
        // returns std::nullopt if undefined
        std::optional<poly_t> sqrt(size_t n) const {
            if(is_zero()) {
                return *this;
            }
            size_t i = trailing_xk();
            if(i % 2) {
                return std::nullopt;
            } else if(i > 0) {
                auto ans = div_xk(i).sqrt(n - i / 2);
                return ans ? ans->mul_xk(i / 2) : ans;
            }
            auto st = math::sqrt((*this)[0]);
            if(st) {
                poly_t ans = *st;
                size_t a = 1;
                while(a < n) {
                    a *= 2;
                    ans -= (ans - mod_xk(a) * ans.inv(a)).mod_xk(a) / 2;
                }
                return ans.mod_xk(n);
            }
            return std::nullopt;
        }
        
        poly_t mulx(T a) const { // component-wise multiplication with a^k
            T cur = 1;
            poly_t res(*this);
            for(int i = 0; i <= deg(); i++) {
                res.coef(i) *= cur;
                cur *= a;
            }
            return res;
        }

        poly_t mulx_sq(T a) const { // component-wise multiplication with a^{k choose 2}
            T cur = 1, total = 1;
            poly_t res(*this);
            for(int i = 0; i <= deg(); i++) {
                res.coef(i) *= total;
                cur *= a;
                total *= cur;
            }
            return res;
        }

        // be mindful of maxn, as the function
        // requires multiplying polynomials of size deg() and n+deg()!
        poly_t chirpz(T z, int n) const { // P(1), P(z), P(z^2), ..., P(z^(n-1))
            if(is_zero()) {
                return std::vector<T>(n, 0);
            }
            if(z == T(0)) {
                std::vector<T> ans(n, (*this)[0]);
                if(n > 0) {
                    ans[0] = accumulate(begin(a), end(a), T(0));
                }
                return ans;
            }
            auto A = mulx_sq(z.inv());
            auto B = ones(n+deg()).mulx_sq(z);
            return semicorr(B, A).mod_xk(n).mulx_sq(z.inv());
        }

        // res[i] = prod_{1 <= j <= i} 1/(1 - z^j)
        static auto _1mzk_prod_inv(T z, int n) {
            std::vector<T> res(n, 1), zk(n);
            zk[0] = 1;
            for(int i = 1; i < n; i++) {
                zk[i] = zk[i - 1] * z;
                res[i] = res[i - 1] * (T(1) - zk[i]);
            }
            res.back() = res.back().inv();
            for(int i = n - 2; i >= 0; i--) {
                res[i] = (T(1) - zk[i+1]) * res[i+1];
            }
            return res;
        }
        
        // prod_{0 <= j < n} (1 - z^j x)
        static auto _1mzkx_prod(T z, int n) {
            if(n == 1) {
                return poly_t(std::vector<T>{1, -1});
            } else {
                auto t = _1mzkx_prod(z, n / 2);
                t *= t.mulx(bpow(z, n / 2));
                if(n % 2) {
                    t *= poly_t(std::vector<T>{1, -bpow(z, n - 1)});
                }
                return t;
            }
        }

        poly_t chirpz_inverse(T z, int n) const { // P(1), P(z), P(z^2), ..., P(z^(n-1))
            if(is_zero()) {
                return {};
            }
            if(z == T(0)) {
                if(n == 1) {
                    return *this;
                } else {
                    return std::vector{(*this)[1], (*this)[0] - (*this)[1]};
                }
            }
            std::vector<T> y(n);
            for(int i = 0; i < n; i++) {
                y[i] = (*this)[i];
            }
            auto prods_pos = _1mzk_prod_inv(z, n);
            auto prods_neg = _1mzk_prod_inv(z.inv(), n);

            T zn = bpow(z, n-1).inv();
            T znk = 1;
            for(int i = 0; i < n; i++) {
                y[i] *= znk * prods_neg[i] * prods_pos[(n - 1) - i];
                znk *= zn;
            }

            poly_t p_over_q = poly_t(y).chirpz(z, n);
            poly_t q = _1mzkx_prod(z, n);

            return (p_over_q * q).mod_xk_inplace(n).reverse(n);
        }

        static poly_t build(std::vector<poly_t> &res, int v, auto L, auto R) { // builds evaluation tree for (x-a1)(x-a2)...(x-an)
            if(R - L == 1) {
                return res[v] = std::vector<T>{-*L, 1};
            } else {
                auto M = L + (R - L) / 2;
                return res[v] = build(res, 2 * v, L, M) * build(res, 2 * v + 1, M, R);
            }
        }

        poly_t to_newton(std::vector<poly_t> &tree, int v, auto l, auto r) {
            if(r - l == 1) {
                return *this;
            } else {
                auto m = l + (r - l) / 2;
                auto A = (*this % tree[2 * v]).to_newton(tree, 2 * v, l, m);
                auto B = (*this / tree[2 * v]).to_newton(tree, 2 * v + 1, m, r);
                return A + B.mul_xk(m - l);
            }
        }

        poly_t to_newton(std::vector<T> p) {
            if(is_zero()) {
                return *this;
            }
            size_t n = p.size();
            std::vector<poly_t> tree(4 * n);
            build(tree, 1, begin(p), end(p));
            return to_newton(tree, 1, begin(p), end(p));
        }

        std::vector<T> eval(std::vector<poly_t> &tree, int v, auto l, auto r) { // auxiliary evaluation function
            if(r - l == 1) {
                return {eval(*l)};
            } else {
                auto m = l + (r - l) / 2;
                auto A = (*this % tree[2 * v]).eval(tree, 2 * v, l, m);
                auto B = (*this % tree[2 * v + 1]).eval(tree, 2 * v + 1, m, r);
                A.insert(end(A), begin(B), end(B));
                return A;
            }
        }
        
        std::vector<T> eval(std::vector<T> x) { // evaluate polynomial in (x1, ..., xn)
            size_t n = x.size();
            if(is_zero()) {
                return std::vector<T>(n, T(0));
            }
            std::vector<poly_t> tree(4 * n);
            build(tree, 1, begin(x), end(x));
            return eval(tree, 1, begin(x), end(x));
        }
        
        poly_t inter(std::vector<poly_t> &tree, int v, auto ly, auto ry) { // auxiliary interpolation function
            if(ry - ly == 1) {
                return {*ly / a[0]};
            } else {
                auto my = ly + (ry - ly) / 2;
                auto A = (*this % tree[2 * v]).inter(tree, 2 * v, ly, my);
                auto B = (*this % tree[2 * v + 1]).inter(tree, 2 * v + 1, my, ry);
                return A * tree[2 * v + 1] + B * tree[2 * v];
            }
        }
        
        static auto inter(std::vector<T> x, std::vector<T> y) { // interpolates minimum polynomial from (xi, yi) pairs
            size_t n = x.size();
            std::vector<poly_t> tree(4 * n);
            return build(tree, 1, begin(x), end(x)).deriv().inter(tree, 1, begin(y), end(y));
        }

        static auto resultant(poly_t a, poly_t b) { // computes resultant of a and b
            if(b.is_zero()) {
                return 0;
            } else if(b.deg() == 0) {
                return bpow(b.lead(), a.deg());
            } else {
                int pw = a.deg();
                a %= b;
                pw -= a.deg();
                auto mul = bpow(b.lead(), pw) * T((b.deg() & a.deg() & 1) ? -1 : 1);
                auto ans = resultant(b, a);
                return ans * mul;
            }
        }
                
        static poly_t xk(size_t n) { // P(x) = x^n
            return poly_t(T(1)).mul_xk(n);
        }
        
        static poly_t ones(size_t n) { // P(x) = 1 + x + ... + x^{n-1} 
            return std::vector<T>(n, 1);
        }
        
        static poly_t expx(size_t n) { // P(x) = e^x (mod x^n)
            return ones(n).borel();
        }

        static poly_t log1px(size_t n) { // P(x) = log(1+x) (mod x^n)
            std::vector<T> coeffs(n, 0);
            for(size_t i = 1; i < n; i++) {
                coeffs[i] = (i & 1 ? T(i).inv() : -T(i).inv());
            }
            return coeffs;
        }

        static poly_t log1mx(size_t n) { // P(x) = log(1-x) (mod x^n)
            return -ones(n).integr();
        }
        
        // [x^k] (a corr b) = sum_{i} a{(k-m)+i}*bi
        static poly_t corr(poly_t const& a, poly_t const& b) { // cross-correlation
            return a * b.reversed();
        }

        // [x^k] (a semicorr b) = sum_i a{i+k} * b{i}
        static poly_t semicorr(poly_t const& a, poly_t const& b) {
            return corr(a, b).div_xk(b.deg());
        }
        
        poly_t invborel() const { // ak *= k!
            auto res = *this;
            for(int i = 0; i <= deg(); i++) {
                res.coef(i) *= fact<T>(i);
            }
            return res;
        }
        
        poly_t borel() const { // ak /= k!
            auto res = *this;
            for(int i = 0; i <= deg(); i++) {
                res.coef(i) *= rfact<T>(i);
            }
            return res;
        }
        
        poly_t shift(T a) const { // P(x + a)
            return semicorr(invborel(), expx(deg() + 1).mulx(a)).borel();
        }
        
        poly_t x2() { // P(x) -> P(x^2)
            std::vector<T> res(2 * a.size());
            for(size_t i = 0; i < a.size(); i++) {
                res[2 * i] = a[i];
            }
            return res;
        }
        
        // Return {P0, P1}, where P(x) = P0(x) + xP1(x)
        std::array<poly_t, 2> bisect(size_t n) const {
            n = std::min(n, size(a));
            std::vector<T> res[2];
            for(size_t i = 0; i < n; i++) {
                res[i % 2].push_back(a[i]);
            }
            return {res[0], res[1]};
        }
        std::array<poly_t, 2> bisect() const {
            return bisect(size(a));
        }
        
        // Find [x^k] P / Q
        static T kth_rec_inplace(poly_t &P, poly_t &Q, int64_t k) {
            while(k > Q.deg()) {
                size_t n = Q.a.size();
                auto [Q0, Q1] = Q.bisect();
                auto [P0, P1] = P.bisect();
                
                size_t N = fft::com_size((n + 1) / 2, (n + 1) / 2);
                
                auto Q0f = fft::dft<T>(Q0.a, N);
                auto Q1f = fft::dft<T>(Q1.a, N);
                auto P0f = fft::dft<T>(P0.a, N);
                auto P1f = fft::dft<T>(P1.a, N);
                
                Q = poly_t(Q0f * Q0f) -= poly_t(Q1f * Q1f).mul_xk_inplace(1);
                if(k % 2) {
                    P = poly_t(Q0f *= P1f) -= poly_t(Q1f *= P0f);
                } else {
                    P = poly_t(Q0f *= P0f) -= poly_t(Q1f *= P1f).mul_xk_inplace(1);
                }
                k /= 2;
            }
            return (P *= Q.inv_inplace(Q.deg() + 1))[(int)k];
        }
        static T kth_rec(poly_t const& P, poly_t const& Q, int64_t k) {
            return kth_rec_inplace(poly_t(P), poly_t(Q), k);
        }

        // inverse series mod x^n
        poly_t& inv_inplace(size_t n) {
            return poly::impl::inv_inplace(*this, n);
        }
        poly_t inv(size_t n) const {
            return poly_t(*this).inv_inplace(n);
        }
        // [x^k]..[x^{k+n-1}] of inv()
        // supports negative k if k+n >= 0
        poly_t& inv_inplace(int64_t k, size_t n) {
            return poly::impl::inv_inplace(*this, k, n);
        }
        poly_t inv(int64_t k, size_t n) const {
            return poly_t(*this).inv_inplace(k, n);
        }
        
        // compute A(B(x)) mod x^n in O(n^2)
        static poly_t compose(poly_t A, poly_t B, int n) {
            int q = std::sqrt(n);
            std::vector<poly_t> Bk(q);
            auto Bq = B.pow(q, n);
            Bk[0] = poly_t(T(1));
            for(int i = 1; i < q; i++) {
                Bk[i] = (Bk[i - 1] * B).mod_xk(n);
            }
            poly_t Bqk(1);
            poly_t ans;
            for(int i = 0; i <= n / q; i++) {
                poly_t cur;
                for(int j = 0; j < q; j++) {
                    cur += Bk[j] * A[i * q + j];
                }
                ans += (Bqk * cur).mod_xk(n);
                Bqk = (Bqk * Bq).mod_xk(n);
            }
            return ans;
        }
        
        // compute A(B(x)) mod x^n in O(sqrt(pqn log^3 n))
        // preferrable when p = deg A and q = deg B
        // are much less than n
        static poly_t compose_large(poly_t A, poly_t B, int n) {
            if(B[0] != T(0)) {
                return compose_large(A.shift(B[0]), B - B[0], n);
            }
            
            int q = std::sqrt(n);
            auto [B0, B1] = std::make_pair(B.mod_xk(q), B.div_xk(q));
            
            B0 = B0.div_xk(1);
            std::vector<poly_t> pw(A.deg() + 1);
            auto getpow = [&](int k) {
                return pw[k].is_zero() ? pw[k] = B0.pow(k, n - k) : pw[k];
            };
            
            std::function<poly_t(poly_t const&, int, int)> compose_dac = [&getpow, &compose_dac](poly_t const& f, int m, int N) {
                if(f.deg() <= 0) {
                    return f;
                }
                int k = m / 2;
                auto [f0, f1] = std::make_pair(f.mod_xk(k), f.div_xk(k));
                auto [A, B] = std::make_pair(compose_dac(f0, k, N), compose_dac(f1, m - k, N - k));
                return (A + (B.mod_xk(N - k) * getpow(k).mod_xk(N - k)).mul_xk(k)).mod_xk(N);
            };
            
            int r = n / q;
            auto Ar = A.deriv(r);
            auto AB0 = compose_dac(Ar, Ar.deg() + 1, n);
            
            auto Bd = B0.mul_xk(1).deriv();
            
            poly_t ans = T(0);
            
            std::vector<poly_t> B1p(r + 1);
            B1p[0] = poly_t(T(1));
            for(int i = 1; i <= r; i++) {
                B1p[i] = (B1p[i - 1] * B1.mod_xk(n - i * q)).mod_xk(n - i * q);
            }
            while(r >= 0) {
                ans += (AB0.mod_xk(n - r * q) * rfact<T>(r) * B1p[r]).mul_xk(r * q).mod_xk(n);
                r--;
                if(r >= 0) {
                    AB0 = ((AB0 * Bd).integr() + A[r] * fact<T>(r)).mod_xk(n);
                }
            }
            
            return ans;
        }
    };
    template<typename base>
    static auto operator * (const auto& a, const poly_t<base>& b) {
        return b * a;
    }
};

#line 6 "verify/poly/sampling.test.cpp"
#include <bits/stdc++.h>

using namespace std;
using namespace cp_algo::math;

const int mod = 998244353;
using base = modint<mod>;
using polyn = poly_t<base>;

// TODO: Use single-convolution approach
void solve() {
    int n, m, c;
    cin >> n >> m >> c;
    vector<base> a(n);
    copy_n(istream_iterator<base>(cin), n, begin(a));
    polyn A = polyn(a);
    polyn Q = polyn({1, -1}).pow(n, n + 1);
    A -= ((A * Q).div_xk(n).mod_xk(m) * Q.inv(m)).mod_xk(m).mul_xk(n);
    A = A.reverse(n + m);
    polyn shift = polyn({1, -1}).pow(c, n).shift(1).mulx(-1);
    auto R = (A.div_xk(n - 1) * shift) + (A.mod_xk(n - 1) * shift).div_xk(n - 1);
    R.div_xk(1).reverse(m).print(m);
}

signed main() {
    //freopen("input.txt", "r", stdin);
    ios::sync_with_stdio(0);
    cin.tie(0);
    int t;
    t = 1;// cin >> t;
    while(t--) {
        solve();
    }
}

Test cases

Env Name Status Elapsed Memory
g++ N_1_00 :heavy_check_mark: AC 130 ms 39 MB
g++ c_0_00 :heavy_check_mark: AC 421 ms 78 MB
g++ example_00 :heavy_check_mark: AC 19 ms 20 MB
g++ example_01 :heavy_check_mark: AC 18 ms 20 MB
g++ max_random_00 :heavy_check_mark: AC 741 ms 88 MB
g++ max_random_01 :heavy_check_mark: AC 720 ms 88 MB
g++ max_random_02 :heavy_check_mark: AC 726 ms 88 MB
g++ max_random_03 :heavy_check_mark: AC 732 ms 88 MB
g++ medium_random_00 :heavy_check_mark: AC 31 ms 22 MB
g++ medium_random_01 :heavy_check_mark: AC 30 ms 22 MB
g++ medium_random_02 :heavy_check_mark: AC 31 ms 22 MB
g++ medium_random_03 :heavy_check_mark: AC 31 ms 22 MB
g++ small_random_00 :heavy_check_mark: AC 19 ms 20 MB
g++ small_random_01 :heavy_check_mark: AC 18 ms 20 MB
g++ small_random_02 :heavy_check_mark: AC 19 ms 20 MB
g++ small_random_03 :heavy_check_mark: AC 19 ms 20 MB
g++ type0_random_00 :heavy_check_mark: AC 353 ms 71 MB
g++ type0_random_01 :heavy_check_mark: AC 387 ms 75 MB
g++ type0_random_02 :heavy_check_mark: AC 50 ms 26 MB
g++ type0_random_03 :heavy_check_mark: AC 260 ms 69 MB
g++ type1_random_00 :heavy_check_mark: AC 619 ms 79 MB
g++ type1_random_01 :heavy_check_mark: AC 536 ms 79 MB
g++ type1_random_02 :heavy_check_mark: AC 69 ms 27 MB
g++ type1_random_03 :heavy_check_mark: AC 504 ms 83 MB
g++ type2_random_00 :heavy_check_mark: AC 668 ms 85 MB
g++ type2_random_01 :heavy_check_mark: AC 694 ms 86 MB
g++ type2_random_02 :heavy_check_mark: AC 245 ms 51 MB
g++ type2_random_03 :heavy_check_mark: AC 384 ms 74 MB
g++ type3_random_00 :heavy_check_mark: AC 664 ms 85 MB
g++ type3_random_01 :heavy_check_mark: AC 696 ms 86 MB
g++ type3_random_02 :heavy_check_mark: AC 246 ms 51 MB
g++ type3_random_03 :heavy_check_mark: AC 382 ms 74 MB
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