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linear_recurrence.hpp

SECTIONMath INCLUDEnoya/linear_recurrence.hpp

Recover the shortest linear recurrence of a sequence over a field.

Verified by consecutive_terms_of_linear_recurrent_sequence, find_linear_recurrence, kth_term_of_linearly_recurrent_sequence.

\[ \displaystyle a_n=\sum_{i=1}^{d}c_i a_{n-i} \]

Implementation

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#ifndef NOYA_LINEAR_RECURRENCE_HPP
#define NOYA_LINEAR_RECURRENCE_HPP 1

/// @complexity Time: O(n^2) Berlekamp-Massey, O(d^2 log k) basic k-th
/// term, O(M(d) log k) fast k-th term, and
/// O(M(d) log(k + 1) + M(d + m)) for m consecutive terms.
/// Space: O(n + d + m).

#include "noya/polynomial.hpp"

#include <algorithm>
#include <cassert>
#include <cstdint>
#include <utility>
#include <vector>

namespace noya {

/// @brief Recover the shortest linear recurrence of a sequence over a field.
template <class T>
std::vector<T> berlekamp_massey(const std::vector<T> &sequence) {
  std::vector<T> current = {T(1)};
  std::vector<T> previous = {T(1)};
  int length = 0;
  int shift = 1;
  T previous_discrepancy = T(1);
  for (int index = 0; index < int(sequence.size()); index++) {
    T discrepancy = sequence[index];
    for (int i = 1; i <= length; i++) {
      discrepancy += current[i] * sequence[index - i];
    }
    if (discrepancy == T{}) {
      shift++;
      continue;
    }
    std::vector<T> saved = current;
    T scale = discrepancy / previous_discrepancy;
    if (current.size() < previous.size() + shift) {
      current.resize(previous.size() + shift, T{});
    }
    for (int i = 0; i < int(previous.size()); i++) {
      current[i + shift] -= scale * previous[i];
    }
    if (2 * length <= index) {
      length = index + 1 - length;
      previous = std::move(saved);
      previous_discrepancy = discrepancy;
      shift = 1;
    } else {
      shift++;
    }
  }
  current.resize(length + 1);
  current.erase(current.begin());
  for (T &coefficient : current) {
    coefficient = -coefficient;
  }
  return current;
}

/// @brief Return the k-th term of a linear recurrence in O(d^2 log k).
template <class T>
T linear_recurrence_nth(const std::vector<T> &initial,
                        const std::vector<T> &recurrence, std::uint64_t k) {
  assert(!recurrence.empty());
  assert(initial.size() == recurrence.size());
  if (k < initial.size()) {
    return initial[std::size_t(k)];
  }
  int degree = int(recurrence.size());
  auto combine = [&](const std::vector<T> &a, const std::vector<T> &b) {
    std::vector<T> product(2 * degree - 1, T{});
    for (int i = 0; i < degree; i++) {
      for (int j = 0; j < degree; j++) {
        product[i + j] += a[i] * b[j];
      }
    }
    for (int power = 2 * degree - 2; power >= degree; power--) {
      for (int j = 0; j < degree; j++) {
        product[power - 1 - j] += product[power] * recurrence[j];
      }
    }
    product.resize(degree);
    return product;
  };

  std::vector<T> result(degree, T{});
  std::vector<T> power(degree, T{});
  result[0] = T(1);
  if (degree == 1) {
    power[0] = recurrence[0];
  } else {
    power[1] = T(1);
  }
  while (k > 0) {
    if (k & 1) {
      result = combine(result, power);
    }
    power = combine(power, power);
    k >>= 1;
  }
  T answer{};
  for (int i = 0; i < degree; i++) {
    answer += result[i] * initial[i];
  }
  return answer;
}

/// @brief Return [x^index] numerator / denominator using Bostan--Mori.
/// Requires denominator[0] != 0 and deg(numerator) < deg(denominator).
template <class Mint>
Mint bostan_mori_coefficient(std::vector<Mint> numerator,
                             std::vector<Mint> denominator,
                             std::uint64_t index) {
  polynomial_trim(numerator);
  polynomial_trim(denominator);
  assert(!denominator.empty() && denominator[0] != Mint{});
  assert(numerator.size() < denominator.size());
  if (denominator.size() == 1) {
    return Mint{};
  }
  while (index > 0) {
    std::vector<Mint> negative = denominator;
    for (int i = 1; i < int(negative.size()); i += 2) {
      negative[i] = -negative[i];
    }
    std::vector<Mint> product_numerator =
        atcoder::convolution(numerator, negative);
    std::vector<Mint> product_denominator =
        atcoder::convolution(denominator, negative);

    std::vector<Mint> next_numerator;
    next_numerator.reserve((product_numerator.size() + 1) / 2);
    for (std::size_t i = std::size_t(index & 1);
         i < product_numerator.size(); i += 2) {
      next_numerator.push_back(product_numerator[i]);
    }
    std::vector<Mint> next_denominator;
    next_denominator.reserve((product_denominator.size() + 1) / 2);
    for (std::size_t i = 0; i < product_denominator.size(); i += 2) {
      next_denominator.push_back(product_denominator[i]);
    }
    numerator = std::move(next_numerator);
    denominator = std::move(next_denominator);
    index >>= 1;
  }
  return numerator.empty() ? Mint{} : numerator[0] / denominator[0];
}

/// @brief Return coefficients index through index+count-1 of numerator / denominator.
/// Requires a proper rational function and a denominator with nonzero endpoints.
template <class Mint>
std::vector<Mint>
consecutive_rational_coefficients(const std::vector<Mint> &numerator,
                                  const std::vector<Mint> &denominator,
                                  std::uint64_t index, int count) {
  assert(count >= 0);
  if (count == 0) {
    return {};
  }
  assert(!denominator.empty() && denominator.front() != Mint{} &&
         denominator.back() != Mint{});
  assert(numerator.size() < denominator.size());
  if (denominator.size() == 1) {
    return std::vector<Mint>(count);
  }
  const std::size_t degree = denominator.size() - 1;

  auto shifted_inverse = [&](auto &self, std::vector<Mint> current,
                             std::uint64_t offset) -> std::vector<Mint> {
    assert(current.size() == degree + 1);
    if (offset <= degree) {
      std::vector<Mint> inverse = polynomial_inverse_series(
          current, int(offset + std::uint64_t(degree)));
      inverse.erase(inverse.begin(),
                    inverse.begin() + std::ptrdiff_t(offset));
      return inverse;
    }

    std::vector<Mint> negative = current;
    for (std::size_t i = 1; i <= degree; i += 2) {
      negative[i] = -negative[i];
    }
    std::vector<Mint> square = atcoder::convolution(current, negative);
    std::vector<Mint> even(degree + 1);
    for (std::size_t i = 0; i <= degree; i++) {
      even[i] = square[2 * i];
    }

    std::uint64_t parity = (offset - degree) & 1;
    std::uint64_t next_offset = (offset - degree + parity) / 2;
    std::vector<Mint> inverse_even =
        self(self, std::move(even), next_offset);
    std::vector<Mint> lifted(2 * degree);
    for (std::size_t i = 0; i < degree; i++) {
      lifted[2 * i] = inverse_even[i];
    }
    std::vector<Mint> product = atcoder::convolution(negative, lifted);
    std::size_t begin = degree - std::size_t(parity);
    return std::vector<Mint>(product.begin() + std::ptrdiff_t(begin),
                             product.begin() +
                                 std::ptrdiff_t(begin + degree));
  };

  std::vector<Mint> inverse_x_power =
      atcoder::convolution(denominator,
                           shifted_inverse(shifted_inverse, denominator, index));
  inverse_x_power.resize(degree);
  std::vector<Mint> shifted_numerator =
      atcoder::convolution(inverse_x_power, numerator);
  std::vector<Mint> remainder =
      polynomial_divmod(std::move(shifted_numerator), denominator).second;
  std::vector<Mint> result = atcoder::convolution(
      remainder, polynomial_inverse_series(denominator, count));
  result.resize(count);
  return result;
}

/// @brief Return the k-th term in O(M(d) log k) time.
template <class Mint>
Mint linear_recurrence_nth_fast(const std::vector<Mint> &initial,
                                const std::vector<Mint> &recurrence,
                                std::uint64_t k) {
  assert(!recurrence.empty());
  assert(initial.size() == recurrence.size());
  if (k < initial.size()) {
    return initial[std::size_t(k)];
  }
  std::vector<Mint> denominator(recurrence.size() + 1);
  denominator[0] = Mint(1);
  for (int i = 0; i < int(recurrence.size()); i++) {
    denominator[i + 1] = -recurrence[i];
  }
  polynomial_trim(denominator);
  std::vector<Mint> combined = atcoder::convolution(initial, denominator);
  combined.resize(initial.size());
  auto [polynomial_part, numerator] =
      polynomial_divmod(std::move(combined), denominator);
  Mint answer = k < polynomial_part.size() ? polynomial_part[std::size_t(k)]
                                           : Mint{};
  return answer +
         bostan_mori_coefficient(std::move(numerator),
                                 std::move(denominator), k);
}

/// @brief Return terms k through k+count-1 of a linear recurrence.
template <class Mint>
std::vector<Mint>
linear_recurrence_terms(const std::vector<Mint> &initial,
                        const std::vector<Mint> &recurrence, std::uint64_t k,
                        int count) {
  assert(!recurrence.empty());
  assert(initial.size() == recurrence.size());
  assert(count >= 0);
  if (count == 0) {
    return {};
  }
  std::vector<Mint> denominator(recurrence.size() + 1);
  denominator[0] = Mint(1);
  for (int i = 0; i < int(recurrence.size()); i++) {
    denominator[i + 1] = -recurrence[i];
  }
  polynomial_trim(denominator);
  std::vector<Mint> combined = atcoder::convolution(initial, denominator);
  combined.resize(initial.size());
  auto [polynomial_part, numerator] =
      polynomial_divmod(std::move(combined), denominator);

  std::vector<Mint> result = consecutive_rational_coefficients(
      numerator, denominator, k, count);
  for (int i = 0; i < count; i++) {
    std::uint64_t position = k + std::uint64_t(i);
    if (position < polynomial_part.size()) {
      result[i] += polynomial_part[std::size_t(position)];
    }
  }
  return result;
}

} // namespace noya

#endif // NOYA_LINEAR_RECURRENCE_HPP
#include <algorithm>
#include <array>
#include <cassert>
#include <cstdint>
#include <numeric>
#include <type_traits>
#include <utility>
#include <vector>

/// @complexity Time: O(n^2) Berlekamp-Massey, O(d^2 log k) basic k-th
/// term, O(M(d) log k) fast k-th term, and
/// O(M(d) log(k + 1) + M(d + m)) for m consecutive terms.
/// Space: O(n + d + m).

/// @complexity Time: O(M(n) log n) inverse/division and O(M(n)) Taylor shift.
/// Space: O(n log n) temporaries.

#ifdef _MSC_VER
#include <intrin.h>
#endif

#if __cplusplus >= 202002L
#include <bit>
#endif

namespace atcoder {

namespace internal {

#if __cplusplus >= 202002L

using std::bit_ceil;

#else

// @return same with std::bit::bit_ceil
unsigned int bit_ceil(unsigned int n) {
    unsigned int x = 1;
    while (x < (unsigned int)(n)) x *= 2;
    return x;
}

#endif

// @param n `1 <= n`
// @return same with std::bit::countr_zero
int countr_zero(unsigned int n) {
#ifdef _MSC_VER
    unsigned long index;
    _BitScanForward(&index, n);
    return index;
#else
    return __builtin_ctz(n);
#endif
}

// @param n `1 <= n`
// @return same with std::bit::countr_zero
constexpr int countr_zero_constexpr(unsigned int n) {
    int x = 0;
    while (!(n & (1 << x))) x++;
    return x;
}

}  // namespace internal

}  // namespace atcoder

#ifdef _MSC_VER
#include <intrin.h>
#endif

#ifdef _MSC_VER
#include <intrin.h>
#endif

namespace atcoder {

namespace internal {

// @param m `1 <= m`
// @return x mod m
constexpr long long safe_mod(long long x, long long m) {
    x %= m;
    if (x < 0) x += m;
    return x;
}

// Fast modular multiplication by barrett reduction
// Reference: https://en.wikipedia.org/wiki/Barrett_reduction
// NOTE: reconsider after Ice Lake
struct barrett {
    unsigned int _m;
    unsigned long long im;

    // @param m `1 <= m`
    explicit barrett(unsigned int m) : _m(m), im((unsigned long long)(-1) / m + 1) {}

    // @return m
    unsigned int umod() const { return _m; }

    // @param a `0 <= a < m`
    // @param b `0 <= b < m`
    // @return `a * b % m`
    unsigned int mul(unsigned int a, unsigned int b) const {
        // [1] m = 1
        // a = b = im = 0, so okay

        // [2] m >= 2
        // im = ceil(2^64 / m)
        // -> im * m = 2^64 + r (0 <= r < m)
        // let z = a*b = c*m + d (0 <= c, d < m)
        // a*b * im = (c*m + d) * im = c*(im*m) + d*im = c*2^64 + c*r + d*im
        // c*r + d*im < m * m + m * im < m * m + 2^64 + m <= 2^64 + m * (m + 1) < 2^64 * 2
        // ((ab * im) >> 64) == c or c + 1
        unsigned long long z = a;
        z *= b;
#ifdef _MSC_VER
        unsigned long long x;
        _umul128(z, im, &x);
#else
        unsigned long long x =
            (unsigned long long)(((unsigned __int128)(z)*im) >> 64);
#endif
        unsigned long long y = x * _m;
        return (unsigned int)(z - y + (z < y ? _m : 0));
    }
};

// @param n `0 <= n`
// @param m `1 <= m`
// @return `(x ** n) % m`
constexpr long long pow_mod_constexpr(long long x, long long n, int m) {
    if (m == 1) return 0;
    unsigned int _m = (unsigned int)(m);
    unsigned long long r = 1;
    unsigned long long y = safe_mod(x, m);
    while (n) {
        if (n & 1) r = (r * y) % _m;
        y = (y * y) % _m;
        n >>= 1;
    }
    return r;
}

// Reference:
// M. Forisek and J. Jancina,
// Fast Primality Testing for Integers That Fit into a Machine Word
// @param n `0 <= n`
constexpr bool is_prime_constexpr(int n) {
    if (n <= 1) return false;
    if (n == 2 || n == 7 || n == 61) return true;
    if (n % 2 == 0) return false;
    long long d = n - 1;
    while (d % 2 == 0) d /= 2;
    constexpr long long bases[3] = {2, 7, 61};
    for (long long a : bases) {
        long long t = d;
        long long y = pow_mod_constexpr(a, t, n);
        while (t != n - 1 && y != 1 && y != n - 1) {
            y = y * y % n;
            t <<= 1;
        }
        if (y != n - 1 && t % 2 == 0) {
            return false;
        }
    }
    return true;
}
template <int n> constexpr bool is_prime = is_prime_constexpr(n);

// @param b `1 <= b`
// @return pair(g, x) s.t. g = gcd(a, b), xa = g (mod b), 0 <= x < b/g
constexpr std::pair<long long, long long> inv_gcd(long long a, long long b) {
    a = safe_mod(a, b);
    if (a == 0) return {b, 0};

    // Contracts:
    // [1] s - m0 * a = 0 (mod b)
    // [2] t - m1 * a = 0 (mod b)
    // [3] s * |m1| + t * |m0| <= b
    long long s = b, t = a;
    long long m0 = 0, m1 = 1;

    while (t) {
        long long u = s / t;
        s -= t * u;
        m0 -= m1 * u;  // |m1 * u| <= |m1| * s <= b

        // [3]:
        // (s - t * u) * |m1| + t * |m0 - m1 * u|
        // <= s * |m1| - t * u * |m1| + t * (|m0| + |m1| * u)
        // = s * |m1| + t * |m0| <= b

        auto tmp = s;
        s = t;
        t = tmp;
        tmp = m0;
        m0 = m1;
        m1 = tmp;
    }
    // by [3]: |m0| <= b/g
    // by g != b: |m0| < b/g
    if (m0 < 0) m0 += b / s;
    return {s, m0};
}

// Compile time primitive root
// @param m must be prime
// @return primitive root (and minimum in now)
constexpr int primitive_root_constexpr(int m) {
    if (m == 2) return 1;
    if (m == 167772161) return 3;
    if (m == 469762049) return 3;
    if (m == 754974721) return 11;
    if (m == 998244353) return 3;
    int divs[20] = {};
    divs[0] = 2;
    int cnt = 1;
    int x = (m - 1) / 2;
    while (x % 2 == 0) x /= 2;
    for (int i = 3; (long long)(i)*i <= x; i += 2) {
        if (x % i == 0) {
            divs[cnt++] = i;
            while (x % i == 0) {
                x /= i;
            }
        }
    }
    if (x > 1) {
        divs[cnt++] = x;
    }
    for (int g = 2;; g++) {
        bool ok = true;
        for (int i = 0; i < cnt; i++) {
            if (pow_mod_constexpr(g, (m - 1) / divs[i], m) == 1) {
                ok = false;
                break;
            }
        }
        if (ok) return g;
    }
}
template <int m> constexpr int primitive_root = primitive_root_constexpr(m);

// @param n `n < 2^32`
// @param m `1 <= m < 2^32`
// @return sum_{i=0}^{n-1} floor((ai + b) / m) (mod 2^64)
unsigned long long floor_sum_unsigned(unsigned long long n,
                                      unsigned long long m,
                                      unsigned long long a,
                                      unsigned long long b) {
    unsigned long long ans = 0;
    while (true) {
        if (a >= m) {
            ans += n * (n - 1) / 2 * (a / m);
            a %= m;
        }
        if (b >= m) {
            ans += n * (b / m);
            b %= m;
        }

        unsigned long long y_max = a * n + b;
        if (y_max < m) break;
        // y_max < m * (n + 1)
        // floor(y_max / m) <= n
        n = (unsigned long long)(y_max / m);
        b = (unsigned long long)(y_max % m);
        std::swap(m, a);
    }
    return ans;
}

}  // namespace internal

}  // namespace atcoder

namespace atcoder {

namespace internal {

#ifndef _MSC_VER
template <class T>
using is_signed_int128 =
    typename std::conditional<std::is_same<T, __int128_t>::value ||
                                  std::is_same<T, __int128>::value,
                              std::true_type,
                              std::false_type>::type;

template <class T>
using is_unsigned_int128 =
    typename std::conditional<std::is_same<T, __uint128_t>::value ||
                                  std::is_same<T, unsigned __int128>::value,
                              std::true_type,
                              std::false_type>::type;

template <class T>
using make_unsigned_int128 =
    typename std::conditional<std::is_same<T, __int128_t>::value,
                              __uint128_t,
                              unsigned __int128>;

template <class T>
using is_integral = typename std::conditional<std::is_integral<T>::value ||
                                                  is_signed_int128<T>::value ||
                                                  is_unsigned_int128<T>::value,
                                              std::true_type,
                                              std::false_type>::type;

template <class T>
using is_signed_int = typename std::conditional<(is_integral<T>::value &&
                                                 std::is_signed<T>::value) ||
                                                    is_signed_int128<T>::value,
                                                std::true_type,
                                                std::false_type>::type;

template <class T>
using is_unsigned_int =
    typename std::conditional<(is_integral<T>::value &&
                               std::is_unsigned<T>::value) ||
                                  is_unsigned_int128<T>::value,
                              std::true_type,
                              std::false_type>::type;

template <class T>
using to_unsigned = typename std::conditional<
    is_signed_int128<T>::value,
    make_unsigned_int128<T>,
    typename std::conditional<std::is_signed<T>::value,
                              std::make_unsigned<T>,
                              std::common_type<T>>::type>::type;

#else

template <class T> using is_integral = typename std::is_integral<T>;

template <class T>
using is_signed_int =
    typename std::conditional<is_integral<T>::value && std::is_signed<T>::value,
                              std::true_type,
                              std::false_type>::type;

template <class T>
using is_unsigned_int =
    typename std::conditional<is_integral<T>::value &&
                                  std::is_unsigned<T>::value,
                              std::true_type,
                              std::false_type>::type;

template <class T>
using to_unsigned = typename std::conditional<is_signed_int<T>::value,
                                              std::make_unsigned<T>,
                                              std::common_type<T>>::type;

#endif

template <class T>
using is_signed_int_t = std::enable_if_t<is_signed_int<T>::value>;

template <class T>
using is_unsigned_int_t = std::enable_if_t<is_unsigned_int<T>::value>;

template <class T> using to_unsigned_t = typename to_unsigned<T>::type;

}  // namespace internal

}  // namespace atcoder

namespace atcoder {

namespace internal {

struct modint_base {};
struct static_modint_base : modint_base {};

template <class T> using is_modint = std::is_base_of<modint_base, T>;
template <class T> using is_modint_t = std::enable_if_t<is_modint<T>::value>;

}  // namespace internal

template <int m, std::enable_if_t<(1 <= m)>* = nullptr>
struct static_modint : internal::static_modint_base {
    using mint = static_modint;

  public:
    static constexpr int mod() { return m; }
    static mint raw(int v) {
        mint x;
        x._v = v;
        return x;
    }

    static_modint() : _v(0) {}
    template <class T, internal::is_signed_int_t<T>* = nullptr>
    static_modint(T v) {
        long long x = (long long)(v % (long long)(umod()));
        if (x < 0) x += umod();
        _v = (unsigned int)(x);
    }
    template <class T, internal::is_unsigned_int_t<T>* = nullptr>
    static_modint(T v) {
        _v = (unsigned int)(v % umod());
    }

    int val() const { return _v; }

    mint& operator++() {
        _v++;
        if (_v == umod()) _v = 0;
        return *this;
    }
    mint& operator--() {
        if (_v == 0) _v = umod();
        _v--;
        return *this;
    }
    mint operator++(int) {
        mint result = *this;
        ++*this;
        return result;
    }
    mint operator--(int) {
        mint result = *this;
        --*this;
        return result;
    }

    mint& operator+=(const mint& rhs) {
        _v += rhs._v;
        if (_v >= umod()) _v -= umod();
        return *this;
    }
    mint& operator-=(const mint& rhs) {
        _v -= rhs._v;
        if (_v >= umod()) _v += umod();
        return *this;
    }
    mint& operator*=(const mint& rhs) {
        unsigned long long z = _v;
        z *= rhs._v;
        _v = (unsigned int)(z % umod());
        return *this;
    }
    mint& operator/=(const mint& rhs) { return *this = *this * rhs.inv(); }

    mint operator+() const { return *this; }
    mint operator-() const { return mint() - *this; }

    mint pow(long long n) const {
        assert(0 <= n);
        mint x = *this, r = 1;
        while (n) {
            if (n & 1) r *= x;
            x *= x;
            n >>= 1;
        }
        return r;
    }
    mint inv() const {
        if (prime) {
            assert(_v);
            return pow(umod() - 2);
        } else {
            auto eg = internal::inv_gcd(_v, m);
            assert(eg.first == 1);
            return eg.second;
        }
    }

    friend mint operator+(const mint& lhs, const mint& rhs) {
        return mint(lhs) += rhs;
    }
    friend mint operator-(const mint& lhs, const mint& rhs) {
        return mint(lhs) -= rhs;
    }
    friend mint operator*(const mint& lhs, const mint& rhs) {
        return mint(lhs) *= rhs;
    }
    friend mint operator/(const mint& lhs, const mint& rhs) {
        return mint(lhs) /= rhs;
    }
    friend bool operator==(const mint& lhs, const mint& rhs) {
        return lhs._v == rhs._v;
    }
    friend bool operator!=(const mint& lhs, const mint& rhs) {
        return lhs._v != rhs._v;
    }

  private:
    unsigned int _v;
    static constexpr unsigned int umod() { return m; }
    static constexpr bool prime = internal::is_prime<m>;
};

template <int id> struct dynamic_modint : internal::modint_base {
    using mint = dynamic_modint;

  public:
    static int mod() { return (int)(bt.umod()); }
    static void set_mod(int m) {
        assert(1 <= m);
        bt = internal::barrett(m);
    }
    static mint raw(int v) {
        mint x;
        x._v = v;
        return x;
    }

    dynamic_modint() : _v(0) {}
    template <class T, internal::is_signed_int_t<T>* = nullptr>
    dynamic_modint(T v) {
        long long x = (long long)(v % (long long)(mod()));
        if (x < 0) x += mod();
        _v = (unsigned int)(x);
    }
    template <class T, internal::is_unsigned_int_t<T>* = nullptr>
    dynamic_modint(T v) {
        _v = (unsigned int)(v % mod());
    }

    int val() const { return _v; }

    mint& operator++() {
        _v++;
        if (_v == umod()) _v = 0;
        return *this;
    }
    mint& operator--() {
        if (_v == 0) _v = umod();
        _v--;
        return *this;
    }
    mint operator++(int) {
        mint result = *this;
        ++*this;
        return result;
    }
    mint operator--(int) {
        mint result = *this;
        --*this;
        return result;
    }

    mint& operator+=(const mint& rhs) {
        _v += rhs._v;
        if (_v >= umod()) _v -= umod();
        return *this;
    }
    mint& operator-=(const mint& rhs) {
        _v += mod() - rhs._v;
        if (_v >= umod()) _v -= umod();
        return *this;
    }
    mint& operator*=(const mint& rhs) {
        _v = bt.mul(_v, rhs._v);
        return *this;
    }
    mint& operator/=(const mint& rhs) { return *this = *this * rhs.inv(); }

    mint operator+() const { return *this; }
    mint operator-() const { return mint() - *this; }

    mint pow(long long n) const {
        assert(0 <= n);
        mint x = *this, r = 1;
        while (n) {
            if (n & 1) r *= x;
            x *= x;
            n >>= 1;
        }
        return r;
    }
    mint inv() const {
        auto eg = internal::inv_gcd(_v, mod());
        assert(eg.first == 1);
        return eg.second;
    }

    friend mint operator+(const mint& lhs, const mint& rhs) {
        return mint(lhs) += rhs;
    }
    friend mint operator-(const mint& lhs, const mint& rhs) {
        return mint(lhs) -= rhs;
    }
    friend mint operator*(const mint& lhs, const mint& rhs) {
        return mint(lhs) *= rhs;
    }
    friend mint operator/(const mint& lhs, const mint& rhs) {
        return mint(lhs) /= rhs;
    }
    friend bool operator==(const mint& lhs, const mint& rhs) {
        return lhs._v == rhs._v;
    }
    friend bool operator!=(const mint& lhs, const mint& rhs) {
        return lhs._v != rhs._v;
    }

  private:
    unsigned int _v;
    static internal::barrett bt;
    static unsigned int umod() { return bt.umod(); }
};
template <int id> internal::barrett dynamic_modint<id>::bt(998244353);

using modint998244353 = static_modint<998244353>;
using modint1000000007 = static_modint<1000000007>;
using modint = dynamic_modint<-1>;

namespace internal {

template <class T>
using is_static_modint = std::is_base_of<internal::static_modint_base, T>;

template <class T>
using is_static_modint_t = std::enable_if_t<is_static_modint<T>::value>;

template <class> struct is_dynamic_modint : public std::false_type {};
template <int id>
struct is_dynamic_modint<dynamic_modint<id>> : public std::true_type {};

template <class T>
using is_dynamic_modint_t = std::enable_if_t<is_dynamic_modint<T>::value>;

}  // namespace internal

}  // namespace atcoder

namespace atcoder {

namespace internal {

template <class mint,
          int g = internal::primitive_root<mint::mod()>,
          internal::is_static_modint_t<mint>* = nullptr>
struct fft_info {
    static constexpr int rank2 = countr_zero_constexpr(mint::mod() - 1);
    std::array<mint, rank2 + 1> root;   // root[i]^(2^i) == 1
    std::array<mint, rank2 + 1> iroot;  // root[i] * iroot[i] == 1

    std::array<mint, std::max(0, rank2 - 2 + 1)> rate2;
    std::array<mint, std::max(0, rank2 - 2 + 1)> irate2;

    std::array<mint, std::max(0, rank2 - 3 + 1)> rate3;
    std::array<mint, std::max(0, rank2 - 3 + 1)> irate3;

    fft_info() {
        root[rank2] = mint(g).pow((mint::mod() - 1) >> rank2);
        iroot[rank2] = root[rank2].inv();
        for (int i = rank2 - 1; i >= 0; i--) {
            root[i] = root[i + 1] * root[i + 1];
            iroot[i] = iroot[i + 1] * iroot[i + 1];
        }

        {
            mint prod = 1, iprod = 1;
            for (int i = 0; i <= rank2 - 2; i++) {
                rate2[i] = root[i + 2] * prod;
                irate2[i] = iroot[i + 2] * iprod;
                prod *= iroot[i + 2];
                iprod *= root[i + 2];
            }
        }
        {
            mint prod = 1, iprod = 1;
            for (int i = 0; i <= rank2 - 3; i++) {
                rate3[i] = root[i + 3] * prod;
                irate3[i] = iroot[i + 3] * iprod;
                prod *= iroot[i + 3];
                iprod *= root[i + 3];
            }
        }
    }
};

template <class mint, internal::is_static_modint_t<mint>* = nullptr>
void butterfly(std::vector<mint>& a) {
    int n = int(a.size());
    int h = internal::countr_zero((unsigned int)n);

    static const fft_info<mint> info;

    int len = 0;  // a[i, i+(n>>len), i+2*(n>>len), ..] is transformed
    while (len < h) {
        if (h - len == 1) {
            int p = 1 << (h - len - 1);
            mint rot = 1;
            for (int s = 0; s < (1 << len); s++) {
                int offset = s << (h - len);
                for (int i = 0; i < p; i++) {
                    auto l = a[i + offset];
                    auto r = a[i + offset + p] * rot;
                    a[i + offset] = l + r;
                    a[i + offset + p] = l - r;
                }
                if (s + 1 != (1 << len))
                    rot *= info.rate2[countr_zero(~(unsigned int)(s))];
            }
            len++;
        } else {
            // 4-base
            int p = 1 << (h - len - 2);
            mint rot = 1, imag = info.root[2];
            for (int s = 0; s < (1 << len); s++) {
                mint rot2 = rot * rot;
                mint rot3 = rot2 * rot;
                int offset = s << (h - len);
                for (int i = 0; i < p; i++) {
                    auto mod2 = 1ULL * mint::mod() * mint::mod();
                    auto a0 = 1ULL * a[i + offset].val();
                    auto a1 = 1ULL * a[i + offset + p].val() * rot.val();
                    auto a2 = 1ULL * a[i + offset + 2 * p].val() * rot2.val();
                    auto a3 = 1ULL * a[i + offset + 3 * p].val() * rot3.val();
                    auto a1na3imag =
                        1ULL * mint(a1 + mod2 - a3).val() * imag.val();
                    auto na2 = mod2 - a2;
                    a[i + offset] = a0 + a2 + a1 + a3;
                    a[i + offset + 1 * p] = a0 + a2 + (2 * mod2 - (a1 + a3));
                    a[i + offset + 2 * p] = a0 + na2 + a1na3imag;
                    a[i + offset + 3 * p] = a0 + na2 + (mod2 - a1na3imag);
                }
                if (s + 1 != (1 << len))
                    rot *= info.rate3[countr_zero(~(unsigned int)(s))];
            }
            len += 2;
        }
    }
}

template <class mint, internal::is_static_modint_t<mint>* = nullptr>
void butterfly_inv(std::vector<mint>& a) {
    int n = int(a.size());
    int h = internal::countr_zero((unsigned int)n);

    static const fft_info<mint> info;

    int len = h;  // a[i, i+(n>>len), i+2*(n>>len), ..] is transformed
    while (len) {
        if (len == 1) {
            int p = 1 << (h - len);
            mint irot = 1;
            for (int s = 0; s < (1 << (len - 1)); s++) {
                int offset = s << (h - len + 1);
                for (int i = 0; i < p; i++) {
                    auto l = a[i + offset];
                    auto r = a[i + offset + p];
                    a[i + offset] = l + r;
                    a[i + offset + p] =
                        (unsigned long long)((unsigned int)(l.val() - r.val()) + mint::mod()) *
                        irot.val();
                    ;
                }
                if (s + 1 != (1 << (len - 1)))
                    irot *= info.irate2[countr_zero(~(unsigned int)(s))];
            }
            len--;
        } else {
            // 4-base
            int p = 1 << (h - len);
            mint irot = 1, iimag = info.iroot[2];
            for (int s = 0; s < (1 << (len - 2)); s++) {
                mint irot2 = irot * irot;
                mint irot3 = irot2 * irot;
                int offset = s << (h - len + 2);
                for (int i = 0; i < p; i++) {
                    auto a0 = 1ULL * a[i + offset + 0 * p].val();
                    auto a1 = 1ULL * a[i + offset + 1 * p].val();
                    auto a2 = 1ULL * a[i + offset + 2 * p].val();
                    auto a3 = 1ULL * a[i + offset + 3 * p].val();

                    auto a2na3iimag =
                        1ULL *
                        mint((mint::mod() + a2 - a3) * iimag.val()).val();

                    a[i + offset] = a0 + a1 + a2 + a3;
                    a[i + offset + 1 * p] =
                        (a0 + (mint::mod() - a1) + a2na3iimag) * irot.val();
                    a[i + offset + 2 * p] =
                        (a0 + a1 + (mint::mod() - a2) + (mint::mod() - a3)) *
                        irot2.val();
                    a[i + offset + 3 * p] =
                        (a0 + (mint::mod() - a1) + (mint::mod() - a2na3iimag)) *
                        irot3.val();
                }
                if (s + 1 != (1 << (len - 2)))
                    irot *= info.irate3[countr_zero(~(unsigned int)(s))];
            }
            len -= 2;
        }
    }
}

template <class mint, internal::is_static_modint_t<mint>* = nullptr>
std::vector<mint> convolution_naive(const std::vector<mint>& a,
                                    const std::vector<mint>& b) {
    int n = int(a.size()), m = int(b.size());
    std::vector<mint> ans(n + m - 1);
    if (n < m) {
        for (int j = 0; j < m; j++) {
            for (int i = 0; i < n; i++) {
                ans[i + j] += a[i] * b[j];
            }
        }
    } else {
        for (int i = 0; i < n; i++) {
            for (int j = 0; j < m; j++) {
                ans[i + j] += a[i] * b[j];
            }
        }
    }
    return ans;
}

template <class mint, internal::is_static_modint_t<mint>* = nullptr>
std::vector<mint> convolution_fft(std::vector<mint> a, std::vector<mint> b) {
    int n = int(a.size()), m = int(b.size());
    int z = (int)internal::bit_ceil((unsigned int)(n + m - 1));
    a.resize(z);
    internal::butterfly(a);
    b.resize(z);
    internal::butterfly(b);
    for (int i = 0; i < z; i++) {
        a[i] *= b[i];
    }
    internal::butterfly_inv(a);
    a.resize(n + m - 1);
    mint iz = mint(z).inv();
    for (int i = 0; i < n + m - 1; i++) a[i] *= iz;
    return a;
}

}  // namespace internal

template <class mint, internal::is_static_modint_t<mint>* = nullptr>
std::vector<mint> convolution(std::vector<mint>&& a, std::vector<mint>&& b) {
    int n = int(a.size()), m = int(b.size());
    if (!n || !m) return {};

    int z = (int)internal::bit_ceil((unsigned int)(n + m - 1));
    assert((mint::mod() - 1) % z == 0);

    if (std::min(n, m) <= 60) return convolution_naive(std::move(a), std::move(b));
    return internal::convolution_fft(std::move(a), std::move(b));
}
template <class mint, internal::is_static_modint_t<mint>* = nullptr>
std::vector<mint> convolution(const std::vector<mint>& a,
                              const std::vector<mint>& b) {
    int n = int(a.size()), m = int(b.size());
    if (!n || !m) return {};

    int z = (int)internal::bit_ceil((unsigned int)(n + m - 1));
    assert((mint::mod() - 1) % z == 0);

    if (std::min(n, m) <= 60) return convolution_naive(a, b);
    return internal::convolution_fft(a, b);
}

template <unsigned int mod = 998244353,
          class T,
          std::enable_if_t<internal::is_integral<T>::value>* = nullptr>
std::vector<T> convolution(const std::vector<T>& a, const std::vector<T>& b) {
    int n = int(a.size()), m = int(b.size());
    if (!n || !m) return {};

    using mint = static_modint<mod>;

    int z = (int)internal::bit_ceil((unsigned int)(n + m - 1));
    assert((mint::mod() - 1) % z == 0);

    std::vector<mint> a2(n), b2(m);
    for (int i = 0; i < n; i++) {
        a2[i] = mint(a[i]);
    }
    for (int i = 0; i < m; i++) {
        b2[i] = mint(b[i]);
    }
    auto c2 = convolution(std::move(a2), std::move(b2));
    std::vector<T> c(n + m - 1);
    for (int i = 0; i < n + m - 1; i++) {
        c[i] = c2[i].val();
    }
    return c;
}

std::vector<long long> convolution_ll(const std::vector<long long>& a,
                                      const std::vector<long long>& b) {
    int n = int(a.size()), m = int(b.size());
    if (!n || !m) return {};

    static constexpr unsigned long long MOD1 = 754974721;  // 2^24
    static constexpr unsigned long long MOD2 = 167772161;  // 2^25
    static constexpr unsigned long long MOD3 = 469762049;  // 2^26
    static constexpr unsigned long long M2M3 = MOD2 * MOD3;
    static constexpr unsigned long long M1M3 = MOD1 * MOD3;
    static constexpr unsigned long long M1M2 = MOD1 * MOD2;
    static constexpr unsigned long long M1M2M3 = MOD1 * MOD2 * MOD3;

    static constexpr unsigned long long i1 =
        internal::inv_gcd(MOD2 * MOD3, MOD1).second;
    static constexpr unsigned long long i2 =
        internal::inv_gcd(MOD1 * MOD3, MOD2).second;
    static constexpr unsigned long long i3 =
        internal::inv_gcd(MOD1 * MOD2, MOD3).second;

    static constexpr int MAX_AB_BIT = 24;
    static_assert(MOD1 % (1ull << MAX_AB_BIT) == 1, "MOD1 isn't enough to support an array length of 2^24.");
    static_assert(MOD2 % (1ull << MAX_AB_BIT) == 1, "MOD2 isn't enough to support an array length of 2^24.");
    static_assert(MOD3 % (1ull << MAX_AB_BIT) == 1, "MOD3 isn't enough to support an array length of 2^24.");
    assert(n + m - 1 <= (1 << MAX_AB_BIT));

    auto c1 = convolution<MOD1>(a, b);
    auto c2 = convolution<MOD2>(a, b);
    auto c3 = convolution<MOD3>(a, b);

    std::vector<long long> c(n + m - 1);
    for (int i = 0; i < n + m - 1; i++) {
        unsigned long long x = 0;
        x += (c1[i] * i1) % MOD1 * M2M3;
        x += (c2[i] * i2) % MOD2 * M1M3;
        x += (c3[i] * i3) % MOD3 * M1M2;
        // B = 2^63, -B <= x, r(real value) < B
        // (x, x - M, x - 2M, or x - 3M) = r (mod 2B)
        // r = c1[i] (mod MOD1)
        // focus on MOD1
        // r = x, x - M', x - 2M', x - 3M' (M' = M % 2^64) (mod 2B)
        // r = x,
        //     x - M' + (0 or 2B),
        //     x - 2M' + (0, 2B or 4B),
        //     x - 3M' + (0, 2B, 4B or 6B) (without mod!)
        // (r - x) = 0, (0)
        //           - M' + (0 or 2B), (1)
        //           -2M' + (0 or 2B or 4B), (2)
        //           -3M' + (0 or 2B or 4B or 6B) (3) (mod MOD1)
        // we checked that
        //   ((1) mod MOD1) mod 5 = 2
        //   ((2) mod MOD1) mod 5 = 3
        //   ((3) mod MOD1) mod 5 = 4
        long long diff =
            c1[i] - internal::safe_mod((long long)(x), (long long)(MOD1));
        if (diff < 0) diff += MOD1;
        static constexpr unsigned long long offset[5] = {
            0, 0, M1M2M3, 2 * M1M2M3, 3 * M1M2M3};
        x -= offset[diff % 5];
        c[i] = x;
    }

    return c;
}

}  // namespace atcoder

namespace noya {

/// @brief Remove trailing zero coefficients from a polynomial.
template <class T> void polynomial_trim(std::vector<T> &polynomial) {
  while (!polynomial.empty() && polynomial.back() == T{}) {
    polynomial.pop_back();
  }
}

/// @brief Return the formal derivative of a polynomial.
template <class T>
std::vector<T> polynomial_derivative(const std::vector<T> &polynomial) {
  if (polynomial.size() <= 1) {
    return {};
  }
  std::vector<T> result(polynomial.size() - 1);
  for (int i = 1; i < int(polynomial.size()); i++) {
    result[i - 1] = polynomial[i] * T(i);
  }
  return result;
}

/// @brief Return the formal integral with constant coefficient zero.
template <class T>
std::vector<T> polynomial_integral(const std::vector<T> &polynomial) {
  std::vector<T> result(polynomial.size() + 1);
  for (int i = 0; i < int(polynomial.size()); i++) {
    result[i + 1] = polynomial[i] / T(i + 1);
  }
  return result;
}

/// @brief Return the first n coefficients of 1/f using Newton iteration.
template <class Mint>
std::vector<Mint> polynomial_inverse_series(const std::vector<Mint> &f, int n) {
  assert(n >= 0);
  if (n == 0) {
    return {};
  }
  assert(!f.empty() && f[0] != Mint{});
  std::vector<Mint> inverse = {Mint(1) / f[0]};
  while (int(inverse.size()) < n) {
    int target = std::min(n, int(inverse.size()) * 2);
    std::vector<Mint> prefix(target);
    for (int i = 0; i < std::min(target, int(f.size())); i++) {
      prefix[i] = f[i];
    }
    std::vector<Mint> correction = atcoder::convolution(prefix, inverse);
    correction.resize(target);
    for (Mint &value : correction) {
      value = -value;
    }
    correction[0] += Mint(2);
    inverse = atcoder::convolution(inverse, correction);
    inverse.resize(target);
  }
  return inverse;
}

/// @brief Divide f by nonzero g and return (quotient, remainder).
template <class Mint>
std::pair<std::vector<Mint>, std::vector<Mint>>
polynomial_divmod(std::vector<Mint> f, std::vector<Mint> g) {
  polynomial_trim(f);
  polynomial_trim(g);
  assert(!g.empty());
  if (f.size() < g.size()) {
    return {{}, f};
  }
  int quotient_size = int(f.size() - g.size() + 1);
  std::vector<Mint> reversed_f(f.rbegin(), f.rend());
  std::vector<Mint> reversed_g(g.rbegin(), g.rend());
  reversed_f.resize(quotient_size);
  reversed_g.resize(quotient_size);
  std::vector<Mint> inverse =
      polynomial_inverse_series(reversed_g, quotient_size);
  std::vector<Mint> quotient = atcoder::convolution(reversed_f, inverse);
  quotient.resize(quotient_size);
  std::reverse(quotient.begin(), quotient.end());

  std::vector<Mint> product = atcoder::convolution(quotient, g);
  for (int i = 0; i < int(product.size()); i++) {
    f[i] -= product[i];
  }
  polynomial_trim(f);
  return {quotient, f};
}

/// @brief Return f(x + shift) in O(M(n)) time.
template <class Mint>
std::vector<Mint> polynomial_taylor_shift(const std::vector<Mint> &f,
                                          Mint shift) {
  int size = int(f.size());
  if (size == 0) {
    return {};
  }
  std::vector<Mint> factorial(size, Mint(1));
  std::vector<Mint> inverse_factorial(size, Mint(1));
  for (int i = 1; i < size; i++) {
    factorial[i] = factorial[i - 1] * Mint(i);
  }
  inverse_factorial.back() = Mint(1) / factorial.back();
  for (int i = size - 1; i > 0; i--) {
    inverse_factorial[i - 1] = inverse_factorial[i] * Mint(i);
  }

  std::vector<Mint> reversed(size), powers(size);
  Mint power = Mint(1);
  for (int i = 0; i < size; i++) {
    reversed[size - 1 - i] = f[i] * factorial[i];
    powers[i] = power * inverse_factorial[i];
    power *= shift;
  }
  std::vector<Mint> product = atcoder::convolution(reversed, powers);
  std::vector<Mint> result(size);
  for (int i = 0; i < size; i++) {
    result[i] = product[size - 1 - i] * inverse_factorial[i];
  }
  return result;
}

} // namespace noya

namespace noya {

/// @brief Recover the shortest linear recurrence of a sequence over a field.
template <class T>
std::vector<T> berlekamp_massey(const std::vector<T> &sequence) {
  std::vector<T> current = {T(1)};
  std::vector<T> previous = {T(1)};
  int length = 0;
  int shift = 1;
  T previous_discrepancy = T(1);
  for (int index = 0; index < int(sequence.size()); index++) {
    T discrepancy = sequence[index];
    for (int i = 1; i <= length; i++) {
      discrepancy += current[i] * sequence[index - i];
    }
    if (discrepancy == T{}) {
      shift++;
      continue;
    }
    std::vector<T> saved = current;
    T scale = discrepancy / previous_discrepancy;
    if (current.size() < previous.size() + shift) {
      current.resize(previous.size() + shift, T{});
    }
    for (int i = 0; i < int(previous.size()); i++) {
      current[i + shift] -= scale * previous[i];
    }
    if (2 * length <= index) {
      length = index + 1 - length;
      previous = std::move(saved);
      previous_discrepancy = discrepancy;
      shift = 1;
    } else {
      shift++;
    }
  }
  current.resize(length + 1);
  current.erase(current.begin());
  for (T &coefficient : current) {
    coefficient = -coefficient;
  }
  return current;
}

/// @brief Return the k-th term of a linear recurrence in O(d^2 log k).
template <class T>
T linear_recurrence_nth(const std::vector<T> &initial,
                        const std::vector<T> &recurrence, std::uint64_t k) {
  assert(!recurrence.empty());
  assert(initial.size() == recurrence.size());
  if (k < initial.size()) {
    return initial[std::size_t(k)];
  }
  int degree = int(recurrence.size());
  auto combine = [&](const std::vector<T> &a, const std::vector<T> &b) {
    std::vector<T> product(2 * degree - 1, T{});
    for (int i = 0; i < degree; i++) {
      for (int j = 0; j < degree; j++) {
        product[i + j] += a[i] * b[j];
      }
    }
    for (int power = 2 * degree - 2; power >= degree; power--) {
      for (int j = 0; j < degree; j++) {
        product[power - 1 - j] += product[power] * recurrence[j];
      }
    }
    product.resize(degree);
    return product;
  };

  std::vector<T> result(degree, T{});
  std::vector<T> power(degree, T{});
  result[0] = T(1);
  if (degree == 1) {
    power[0] = recurrence[0];
  } else {
    power[1] = T(1);
  }
  while (k > 0) {
    if (k & 1) {
      result = combine(result, power);
    }
    power = combine(power, power);
    k >>= 1;
  }
  T answer{};
  for (int i = 0; i < degree; i++) {
    answer += result[i] * initial[i];
  }
  return answer;
}

/// @brief Return [x^index] numerator / denominator using Bostan--Mori.
/// Requires denominator[0] != 0 and deg(numerator) < deg(denominator).
template <class Mint>
Mint bostan_mori_coefficient(std::vector<Mint> numerator,
                             std::vector<Mint> denominator,
                             std::uint64_t index) {
  polynomial_trim(numerator);
  polynomial_trim(denominator);
  assert(!denominator.empty() && denominator[0] != Mint{});
  assert(numerator.size() < denominator.size());
  if (denominator.size() == 1) {
    return Mint{};
  }
  while (index > 0) {
    std::vector<Mint> negative = denominator;
    for (int i = 1; i < int(negative.size()); i += 2) {
      negative[i] = -negative[i];
    }
    std::vector<Mint> product_numerator =
        atcoder::convolution(numerator, negative);
    std::vector<Mint> product_denominator =
        atcoder::convolution(denominator, negative);

    std::vector<Mint> next_numerator;
    next_numerator.reserve((product_numerator.size() + 1) / 2);
    for (std::size_t i = std::size_t(index & 1);
         i < product_numerator.size(); i += 2) {
      next_numerator.push_back(product_numerator[i]);
    }
    std::vector<Mint> next_denominator;
    next_denominator.reserve((product_denominator.size() + 1) / 2);
    for (std::size_t i = 0; i < product_denominator.size(); i += 2) {
      next_denominator.push_back(product_denominator[i]);
    }
    numerator = std::move(next_numerator);
    denominator = std::move(next_denominator);
    index >>= 1;
  }
  return numerator.empty() ? Mint{} : numerator[0] / denominator[0];
}

/// @brief Return coefficients index through index+count-1 of numerator / denominator.
/// Requires a proper rational function and a denominator with nonzero endpoints.
template <class Mint>
std::vector<Mint>
consecutive_rational_coefficients(const std::vector<Mint> &numerator,
                                  const std::vector<Mint> &denominator,
                                  std::uint64_t index, int count) {
  assert(count >= 0);
  if (count == 0) {
    return {};
  }
  assert(!denominator.empty() && denominator.front() != Mint{} &&
         denominator.back() != Mint{});
  assert(numerator.size() < denominator.size());
  if (denominator.size() == 1) {
    return std::vector<Mint>(count);
  }
  const std::size_t degree = denominator.size() - 1;

  auto shifted_inverse = [&](auto &self, std::vector<Mint> current,
                             std::uint64_t offset) -> std::vector<Mint> {
    assert(current.size() == degree + 1);
    if (offset <= degree) {
      std::vector<Mint> inverse = polynomial_inverse_series(
          current, int(offset + std::uint64_t(degree)));
      inverse.erase(inverse.begin(),
                    inverse.begin() + std::ptrdiff_t(offset));
      return inverse;
    }

    std::vector<Mint> negative = current;
    for (std::size_t i = 1; i <= degree; i += 2) {
      negative[i] = -negative[i];
    }
    std::vector<Mint> square = atcoder::convolution(current, negative);
    std::vector<Mint> even(degree + 1);
    for (std::size_t i = 0; i <= degree; i++) {
      even[i] = square[2 * i];
    }

    std::uint64_t parity = (offset - degree) & 1;
    std::uint64_t next_offset = (offset - degree + parity) / 2;
    std::vector<Mint> inverse_even =
        self(self, std::move(even), next_offset);
    std::vector<Mint> lifted(2 * degree);
    for (std::size_t i = 0; i < degree; i++) {
      lifted[2 * i] = inverse_even[i];
    }
    std::vector<Mint> product = atcoder::convolution(negative, lifted);
    std::size_t begin = degree - std::size_t(parity);
    return std::vector<Mint>(product.begin() + std::ptrdiff_t(begin),
                             product.begin() +
                                 std::ptrdiff_t(begin + degree));
  };

  std::vector<Mint> inverse_x_power =
      atcoder::convolution(denominator,
                           shifted_inverse(shifted_inverse, denominator, index));
  inverse_x_power.resize(degree);
  std::vector<Mint> shifted_numerator =
      atcoder::convolution(inverse_x_power, numerator);
  std::vector<Mint> remainder =
      polynomial_divmod(std::move(shifted_numerator), denominator).second;
  std::vector<Mint> result = atcoder::convolution(
      remainder, polynomial_inverse_series(denominator, count));
  result.resize(count);
  return result;
}

/// @brief Return the k-th term in O(M(d) log k) time.
template <class Mint>
Mint linear_recurrence_nth_fast(const std::vector<Mint> &initial,
                                const std::vector<Mint> &recurrence,
                                std::uint64_t k) {
  assert(!recurrence.empty());
  assert(initial.size() == recurrence.size());
  if (k < initial.size()) {
    return initial[std::size_t(k)];
  }
  std::vector<Mint> denominator(recurrence.size() + 1);
  denominator[0] = Mint(1);
  for (int i = 0; i < int(recurrence.size()); i++) {
    denominator[i + 1] = -recurrence[i];
  }
  polynomial_trim(denominator);
  std::vector<Mint> combined = atcoder::convolution(initial, denominator);
  combined.resize(initial.size());
  auto [polynomial_part, numerator] =
      polynomial_divmod(std::move(combined), denominator);
  Mint answer = k < polynomial_part.size() ? polynomial_part[std::size_t(k)]
                                           : Mint{};
  return answer +
         bostan_mori_coefficient(std::move(numerator),
                                 std::move(denominator), k);
}

/// @brief Return terms k through k+count-1 of a linear recurrence.
template <class Mint>
std::vector<Mint>
linear_recurrence_terms(const std::vector<Mint> &initial,
                        const std::vector<Mint> &recurrence, std::uint64_t k,
                        int count) {
  assert(!recurrence.empty());
  assert(initial.size() == recurrence.size());
  assert(count >= 0);
  if (count == 0) {
    return {};
  }
  std::vector<Mint> denominator(recurrence.size() + 1);
  denominator[0] = Mint(1);
  for (int i = 0; i < int(recurrence.size()); i++) {
    denominator[i + 1] = -recurrence[i];
  }
  polynomial_trim(denominator);
  std::vector<Mint> combined = atcoder::convolution(initial, denominator);
  combined.resize(initial.size());
  auto [polynomial_part, numerator] =
      polynomial_divmod(std::move(combined), denominator);

  std::vector<Mint> result = consecutive_rational_coefficients(
      numerator, denominator, k, count);
  for (int i = 0; i < count; i++) {
    std::uint64_t position = k + std::uint64_t(i);
    if (position < polynomial_part.size()) {
      result[i] += polynomial_part[std::size_t(position)];
    }
  }
  return result;
}

} // namespace noya