QOJ.ac

QOJ

ID题目提交者结果用时内存语言文件大小提交时间测评时间
#576901#8180. Bridge EliminationmaspyAC ✓16ms4332kbC++2073.3kb2024-09-19 23:15:532024-09-19 23:15:54

Judging History

你现在查看的是最新测评结果

  • [2024-09-19 23:15:54]
  • 评测
  • 测评结果:AC
  • 用时:16ms
  • 内存:4332kb
  • [2024-09-19 23:15:53]
  • 提交

answer

#line 1 "/home/maspy/compro/library/my_template.hpp"
#if defined(LOCAL)
#include <my_template_compiled.hpp>
#else

// https://codeforces.com/blog/entry/96344
#pragma GCC optimize("Ofast,unroll-loops")
// いまの CF だとこれ入れると動かない?
// #pragma GCC target("avx2,popcnt")

#include <bits/stdc++.h>

using namespace std;

using ll = long long;
using u32 = unsigned int;
using u64 = unsigned long long;
using i128 = __int128;
using u128 = unsigned __int128;
using f128 = __float128;

template <class T>
constexpr T infty = 0;
template <>
constexpr int infty<int> = 1'010'000'000;
template <>
constexpr ll infty<ll> = 2'020'000'000'000'000'000;
template <>
constexpr u32 infty<u32> = infty<int>;
template <>
constexpr u64 infty<u64> = infty<ll>;
template <>
constexpr i128 infty<i128> = i128(infty<ll>) * 2'000'000'000'000'000'000;
template <>
constexpr double infty<double> = infty<ll>;
template <>
constexpr long double infty<long double> = infty<ll>;

using pi = pair<ll, ll>;
using vi = vector<ll>;
template <class T>
using vc = vector<T>;
template <class T>
using vvc = vector<vc<T>>;
template <class T>
using vvvc = vector<vvc<T>>;
template <class T>
using vvvvc = vector<vvvc<T>>;
template <class T>
using vvvvvc = vector<vvvvc<T>>;
template <class T>
using pq = priority_queue<T>;
template <class T>
using pqg = priority_queue<T, vector<T>, greater<T>>;

#define vv(type, name, h, ...) \
  vector<vector<type>> name(h, vector<type>(__VA_ARGS__))
#define vvv(type, name, h, w, ...)   \
  vector<vector<vector<type>>> name( \
      h, vector<vector<type>>(w, vector<type>(__VA_ARGS__)))
#define vvvv(type, name, a, b, c, ...)       \
  vector<vector<vector<vector<type>>>> name( \
      a, vector<vector<vector<type>>>(       \
             b, vector<vector<type>>(c, vector<type>(__VA_ARGS__))))

// https://trap.jp/post/1224/
#define FOR1(a) for (ll _ = 0; _ < ll(a); ++_)
#define FOR2(i, a) for (ll i = 0; i < ll(a); ++i)
#define FOR3(i, a, b) for (ll i = a; i < ll(b); ++i)
#define FOR4(i, a, b, c) for (ll i = a; i < ll(b); i += (c))
#define FOR1_R(a) for (ll i = (a)-1; i >= ll(0); --i)
#define FOR2_R(i, a) for (ll i = (a)-1; i >= ll(0); --i)
#define FOR3_R(i, a, b) for (ll i = (b)-1; i >= ll(a); --i)
#define overload4(a, b, c, d, e, ...) e
#define overload3(a, b, c, d, ...) d
#define FOR(...) overload4(__VA_ARGS__, FOR4, FOR3, FOR2, FOR1)(__VA_ARGS__)
#define FOR_R(...) overload3(__VA_ARGS__, FOR3_R, FOR2_R, FOR1_R)(__VA_ARGS__)

#define FOR_subset(t, s) \
  for (ll t = (s); t >= 0; t = (t == 0 ? -1 : (t - 1) & (s)))
#define all(x) x.begin(), x.end()
#define len(x) ll(x.size())
#define elif else if

#define eb emplace_back
#define mp make_pair
#define mt make_tuple
#define fi first
#define se second

#define stoi stoll

int popcnt(int x) { return __builtin_popcount(x); }
int popcnt(u32 x) { return __builtin_popcount(x); }
int popcnt(ll x) { return __builtin_popcountll(x); }
int popcnt(u64 x) { return __builtin_popcountll(x); }
int popcnt_mod_2(int x) { return __builtin_parity(x); }
int popcnt_mod_2(u32 x) { return __builtin_parity(x); }
int popcnt_mod_2(ll x) { return __builtin_parityll(x); }
int popcnt_mod_2(u64 x) { return __builtin_parityll(x); }
// (0, 1, 2, 3, 4) -> (-1, 0, 1, 1, 2)
int topbit(int x) { return (x == 0 ? -1 : 31 - __builtin_clz(x)); }
int topbit(u32 x) { return (x == 0 ? -1 : 31 - __builtin_clz(x)); }
int topbit(ll x) { return (x == 0 ? -1 : 63 - __builtin_clzll(x)); }
int topbit(u64 x) { return (x == 0 ? -1 : 63 - __builtin_clzll(x)); }
// (0, 1, 2, 3, 4) -> (-1, 0, 1, 0, 2)
int lowbit(int x) { return (x == 0 ? -1 : __builtin_ctz(x)); }
int lowbit(u32 x) { return (x == 0 ? -1 : __builtin_ctz(x)); }
int lowbit(ll x) { return (x == 0 ? -1 : __builtin_ctzll(x)); }
int lowbit(u64 x) { return (x == 0 ? -1 : __builtin_ctzll(x)); }

template <typename T>
T floor(T a, T b) {
  return a / b - (a % b && (a ^ b) < 0);
}
template <typename T>
T ceil(T x, T y) {
  return floor(x + y - 1, y);
}
template <typename T>
T bmod(T x, T y) {
  return x - y * floor(x, y);
}
template <typename T>
pair<T, T> divmod(T x, T y) {
  T q = floor(x, y);
  return {q, x - q * y};
}

template <typename T, typename U>
T SUM(const vector<U> &A) {
  T sm = 0;
  for (auto &&a: A) sm += a;
  return sm;
}

#define MIN(v) *min_element(all(v))
#define MAX(v) *max_element(all(v))
#define LB(c, x) distance((c).begin(), lower_bound(all(c), (x)))
#define UB(c, x) distance((c).begin(), upper_bound(all(c), (x)))
#define UNIQUE(x) \
  sort(all(x)), x.erase(unique(all(x)), x.end()), x.shrink_to_fit()

template <typename T>
T POP(deque<T> &que) {
  T a = que.front();
  que.pop_front();
  return a;
}
template <typename T>
T POP(pq<T> &que) {
  T a = que.top();
  que.pop();
  return a;
}
template <typename T>
T POP(pqg<T> &que) {
  T a = que.top();
  que.pop();
  return a;
}
template <typename T>
T POP(vc<T> &que) {
  T a = que.back();
  que.pop_back();
  return a;
}

template <typename F>
ll binary_search(F check, ll ok, ll ng, bool check_ok = true) {
  if (check_ok) assert(check(ok));
  while (abs(ok - ng) > 1) {
    auto x = (ng + ok) / 2;
    (check(x) ? ok : ng) = x;
  }
  return ok;
}
template <typename F>
double binary_search_real(F check, double ok, double ng, int iter = 100) {
  FOR(iter) {
    double x = (ok + ng) / 2;
    (check(x) ? ok : ng) = x;
  }
  return (ok + ng) / 2;
}

template <class T, class S>
inline bool chmax(T &a, const S &b) {
  return (a < b ? a = b, 1 : 0);
}
template <class T, class S>
inline bool chmin(T &a, const S &b) {
  return (a > b ? a = b, 1 : 0);
}

// ? は -1
vc<int> s_to_vi(const string &S, char first_char) {
  vc<int> A(S.size());
  FOR(i, S.size()) { A[i] = (S[i] != '?' ? S[i] - first_char : -1); }
  return A;
}

template <typename T, typename U>
vector<T> cumsum(vector<U> &A, int off = 1) {
  int N = A.size();
  vector<T> B(N + 1);
  FOR(i, N) { B[i + 1] = B[i] + A[i]; }
  if (off == 0) B.erase(B.begin());
  return B;
}

// stable sort
template <typename T>
vector<int> argsort(const vector<T> &A) {
  vector<int> ids(len(A));
  iota(all(ids), 0);
  sort(all(ids),
       [&](int i, int j) { return (A[i] == A[j] ? i < j : A[i] < A[j]); });
  return ids;
}

// A[I[0]], A[I[1]], ...
template <typename T>
vc<T> rearrange(const vc<T> &A, const vc<int> &I) {
  vc<T> B(len(I));
  FOR(i, len(I)) B[i] = A[I[i]];
  return B;
}

template <typename T, typename... Vectors>
vc<T> concat(vc<T> &first, const Vectors &... others) {
  vc<T> res = first;
  (res.insert(res.end(), others.begin(), others.end()), ...);
  return res;
}
#endif
#line 1 "/home/maspy/compro/library/other/io.hpp"
#define FASTIO
#include <unistd.h>

// https://judge.yosupo.jp/submission/21623
namespace fastio {
static constexpr uint32_t SZ = 1 << 17;
char ibuf[SZ];
char obuf[SZ];
char out[100];
// pointer of ibuf, obuf
uint32_t pil = 0, pir = 0, por = 0;

struct Pre {
  char num[10000][4];
  constexpr Pre() : num() {
    for (int i = 0; i < 10000; i++) {
      int n = i;
      for (int j = 3; j >= 0; j--) {
        num[i][j] = n % 10 | '0';
        n /= 10;
      }
    }
  }
} constexpr pre;

inline void load() {
  memcpy(ibuf, ibuf + pil, pir - pil);
  pir = pir - pil + fread(ibuf + pir - pil, 1, SZ - pir + pil, stdin);
  pil = 0;
  if (pir < SZ) ibuf[pir++] = '\n';
}

inline void flush() {
  fwrite(obuf, 1, por, stdout);
  por = 0;
}

void rd(char &c) {
  do {
    if (pil + 1 > pir) load();
    c = ibuf[pil++];
  } while (isspace(c));
}

void rd(string &x) {
  x.clear();
  char c;
  do {
    if (pil + 1 > pir) load();
    c = ibuf[pil++];
  } while (isspace(c));
  do {
    x += c;
    if (pil == pir) load();
    c = ibuf[pil++];
  } while (!isspace(c));
}

template <typename T>
void rd_real(T &x) {
  string s;
  rd(s);
  x = stod(s);
}

template <typename T>
void rd_integer(T &x) {
  if (pil + 100 > pir) load();
  char c;
  do
    c = ibuf[pil++];
  while (c < '-');
  bool minus = 0;
  if constexpr (is_signed<T>::value || is_same_v<T, i128>) {
    if (c == '-') { minus = 1, c = ibuf[pil++]; }
  }
  x = 0;
  while ('0' <= c) { x = x * 10 + (c & 15), c = ibuf[pil++]; }
  if constexpr (is_signed<T>::value || is_same_v<T, i128>) {
    if (minus) x = -x;
  }
}

void rd(int &x) { rd_integer(x); }
void rd(ll &x) { rd_integer(x); }
void rd(i128 &x) { rd_integer(x); }
void rd(u32 &x) { rd_integer(x); }
void rd(u64 &x) { rd_integer(x); }
void rd(u128 &x) { rd_integer(x); }
void rd(double &x) { rd_real(x); }
void rd(long double &x) { rd_real(x); }
void rd(f128 &x) { rd_real(x); }

template <class T, class U>
void rd(pair<T, U> &p) {
  return rd(p.first), rd(p.second);
}
template <size_t N = 0, typename T>
void rd_tuple(T &t) {
  if constexpr (N < std::tuple_size<T>::value) {
    auto &x = std::get<N>(t);
    rd(x);
    rd_tuple<N + 1>(t);
  }
}
template <class... T>
void rd(tuple<T...> &tpl) {
  rd_tuple(tpl);
}

template <size_t N = 0, typename T>
void rd(array<T, N> &x) {
  for (auto &d: x) rd(d);
}
template <class T>
void rd(vc<T> &x) {
  for (auto &d: x) rd(d);
}

void read() {}
template <class H, class... T>
void read(H &h, T &... t) {
  rd(h), read(t...);
}

void wt(const char c) {
  if (por == SZ) flush();
  obuf[por++] = c;
}
void wt(const string s) {
  for (char c: s) wt(c);
}
void wt(const char *s) {
  size_t len = strlen(s);
  for (size_t i = 0; i < len; i++) wt(s[i]);
}

template <typename T>
void wt_integer(T x) {
  if (por > SZ - 100) flush();
  if (x < 0) { obuf[por++] = '-', x = -x; }
  int outi;
  for (outi = 96; x >= 10000; outi -= 4) {
    memcpy(out + outi, pre.num[x % 10000], 4);
    x /= 10000;
  }
  if (x >= 1000) {
    memcpy(obuf + por, pre.num[x], 4);
    por += 4;
  } else if (x >= 100) {
    memcpy(obuf + por, pre.num[x] + 1, 3);
    por += 3;
  } else if (x >= 10) {
    int q = (x * 103) >> 10;
    obuf[por] = q | '0';
    obuf[por + 1] = (x - q * 10) | '0';
    por += 2;
  } else
    obuf[por++] = x | '0';
  memcpy(obuf + por, out + outi + 4, 96 - outi);
  por += 96 - outi;
}

template <typename T>
void wt_real(T x) {
  ostringstream oss;
  oss << fixed << setprecision(15) << double(x);
  string s = oss.str();
  wt(s);
}

void wt(int x) { wt_integer(x); }
void wt(ll x) { wt_integer(x); }
void wt(i128 x) { wt_integer(x); }
void wt(u32 x) { wt_integer(x); }
void wt(u64 x) { wt_integer(x); }
void wt(u128 x) { wt_integer(x); }
void wt(double x) { wt_real(x); }
void wt(long double x) { wt_real(x); }
void wt(f128 x) { wt_real(x); }

template <class T, class U>
void wt(const pair<T, U> val) {
  wt(val.first);
  wt(' ');
  wt(val.second);
}
template <size_t N = 0, typename T>
void wt_tuple(const T t) {
  if constexpr (N < std::tuple_size<T>::value) {
    if constexpr (N > 0) { wt(' '); }
    const auto x = std::get<N>(t);
    wt(x);
    wt_tuple<N + 1>(t);
  }
}
template <class... T>
void wt(tuple<T...> tpl) {
  wt_tuple(tpl);
}
template <class T, size_t S>
void wt(const array<T, S> val) {
  auto n = val.size();
  for (size_t i = 0; i < n; i++) {
    if (i) wt(' ');
    wt(val[i]);
  }
}
template <class T>
void wt(const vector<T> val) {
  auto n = val.size();
  for (size_t i = 0; i < n; i++) {
    if (i) wt(' ');
    wt(val[i]);
  }
}

void print() { wt('\n'); }
template <class Head, class... Tail>
void print(Head &&head, Tail &&... tail) {
  wt(head);
  if (sizeof...(Tail)) wt(' ');
  print(forward<Tail>(tail)...);
}

// gcc expansion. called automaticall after main.
void __attribute__((destructor)) _d() { flush(); }
} // namespace fastio
using fastio::read;
using fastio::print;
using fastio::flush;

#if defined(LOCAL)
#define SHOW(...) SHOW_IMPL(__VA_ARGS__, SHOW6, SHOW5, SHOW4, SHOW3, SHOW2, SHOW1)(__VA_ARGS__)
#define SHOW_IMPL(_1, _2, _3, _4, _5, _6, NAME, ...) NAME
#define SHOW1(x) print(#x, "=", (x)), flush()
#define SHOW2(x, y) print(#x, "=", (x), #y, "=", (y)), flush()
#define SHOW3(x, y, z) print(#x, "=", (x), #y, "=", (y), #z, "=", (z)), flush()
#define SHOW4(x, y, z, w) print(#x, "=", (x), #y, "=", (y), #z, "=", (z), #w, "=", (w)), flush()
#define SHOW5(x, y, z, w, v) print(#x, "=", (x), #y, "=", (y), #z, "=", (z), #w, "=", (w), #v, "=", (v)), flush()
#define SHOW6(x, y, z, w, v, u) print(#x, "=", (x), #y, "=", (y), #z, "=", (z), #w, "=", (w), #v, "=", (v), #u, "=", (u)), flush()
#else
#define SHOW(...)
#endif

#define INT(...)   \
  int __VA_ARGS__; \
  read(__VA_ARGS__)
#define LL(...)   \
  ll __VA_ARGS__; \
  read(__VA_ARGS__)
#define U32(...)   \
  u32 __VA_ARGS__; \
  read(__VA_ARGS__)
#define U64(...)   \
  u64 __VA_ARGS__; \
  read(__VA_ARGS__)
#define STR(...)      \
  string __VA_ARGS__; \
  read(__VA_ARGS__)
#define CHAR(...)   \
  char __VA_ARGS__; \
  read(__VA_ARGS__)
#define DBL(...)      \
  double __VA_ARGS__; \
  read(__VA_ARGS__)

#define VEC(type, name, size) \
  vector<type> name(size);    \
  read(name)
#define VV(type, name, h, w)                     \
  vector<vector<type>> name(h, vector<type>(w)); \
  read(name)

void YES(bool t = 1) { print(t ? "YES" : "NO"); }
void NO(bool t = 1) { YES(!t); }
void Yes(bool t = 1) { print(t ? "Yes" : "No"); }
void No(bool t = 1) { Yes(!t); }
void yes(bool t = 1) { print(t ? "yes" : "no"); }
void no(bool t = 1) { yes(!t); }
#line 3 "main.cpp"

#line 2 "/home/maspy/compro/library/mod/modint_common.hpp"

struct has_mod_impl {
  template <class T>
  static auto check(T &&x) -> decltype(x.get_mod(), std::true_type{});
  template <class T>
  static auto check(...) -> std::false_type;
};

template <class T>
class has_mod : public decltype(has_mod_impl::check<T>(std::declval<T>())) {};

template <typename mint>
mint inv(int n) {
  static const int mod = mint::get_mod();
  static vector<mint> dat = {0, 1};
  assert(0 <= n);
  if (n >= mod) n %= mod;
  while (len(dat) <= n) {
    int k = len(dat);
    int q = (mod + k - 1) / k;
    dat.eb(dat[k * q - mod] * mint::raw(q));
  }
  return dat[n];
}

template <typename mint>
mint fact(int n) {
  static const int mod = mint::get_mod();
  assert(0 <= n && n < mod);
  static vector<mint> dat = {1, 1};
  while (len(dat) <= n) dat.eb(dat[len(dat) - 1] * mint::raw(len(dat)));
  return dat[n];
}

template <typename mint>
mint fact_inv(int n) {
  static vector<mint> dat = {1, 1};
  if (n < 0) return mint(0);
  while (len(dat) <= n) dat.eb(dat[len(dat) - 1] * inv<mint>(len(dat)));
  return dat[n];
}

template <class mint, class... Ts>
mint fact_invs(Ts... xs) {
  return (mint(1) * ... * fact_inv<mint>(xs));
}

template <typename mint, class Head, class... Tail>
mint multinomial(Head &&head, Tail &&... tail) {
  return fact<mint>(head) * fact_invs<mint>(std::forward<Tail>(tail)...);
}

template <typename mint>
mint C_dense(int n, int k) {
  static vvc<mint> C;
  static int H = 0, W = 0;
  auto calc = [&](int i, int j) -> mint {
    if (i == 0) return (j == 0 ? mint(1) : mint(0));
    return C[i - 1][j] + (j ? C[i - 1][j - 1] : 0);
  };
  if (W <= k) {
    FOR(i, H) {
      C[i].resize(k + 1);
      FOR(j, W, k + 1) { C[i][j] = calc(i, j); }
    }
    W = k + 1;
  }
  if (H <= n) {
    C.resize(n + 1);
    FOR(i, H, n + 1) {
      C[i].resize(W);
      FOR(j, W) { C[i][j] = calc(i, j); }
    }
    H = n + 1;
  }
  return C[n][k];
}

template <typename mint, bool large = false, bool dense = false>
mint C(ll n, ll k) {
  assert(n >= 0);
  if (k < 0 || n < k) return 0;
  if constexpr (dense) return C_dense<mint>(n, k);
  if constexpr (!large) return multinomial<mint>(n, k, n - k);
  k = min(k, n - k);
  mint x(1);
  FOR(i, k) x *= mint(n - i);
  return x * fact_inv<mint>(k);
}

template <typename mint, bool large = false>
mint C_inv(ll n, ll k) {
  assert(n >= 0);
  assert(0 <= k && k <= n);
  if (!large) return fact_inv<mint>(n) * fact<mint>(k) * fact<mint>(n - k);
  return mint(1) / C<mint, 1>(n, k);
}

// [x^d](1-x)^{-n}
template <typename mint, bool large = false, bool dense = false>
mint C_negative(ll n, ll d) {
  assert(n >= 0);
  if (d < 0) return mint(0);
  if (n == 0) { return (d == 0 ? mint(1) : mint(0)); }
  return C<mint, large, dense>(n + d - 1, d);
}
#line 3 "/home/maspy/compro/library/mod/modint.hpp"

template <int mod>
struct modint {
  static constexpr u32 umod = u32(mod);
  static_assert(umod < u32(1) << 31);
  u32 val;

  static modint raw(u32 v) {
    modint x;
    x.val = v;
    return x;
  }
  constexpr modint() : val(0) {}
  constexpr modint(u32 x) : val(x % umod) {}
  constexpr modint(u64 x) : val(x % umod) {}
  constexpr modint(u128 x) : val(x % umod) {}
  constexpr modint(int x) : val((x %= mod) < 0 ? x + mod : x){};
  constexpr modint(ll x) : val((x %= mod) < 0 ? x + mod : x){};
  constexpr modint(i128 x) : val((x %= mod) < 0 ? x + mod : x){};
  bool operator<(const modint &other) const { return val < other.val; }
  modint &operator+=(const modint &p) {
    if ((val += p.val) >= umod) val -= umod;
    return *this;
  }
  modint &operator-=(const modint &p) {
    if ((val += umod - p.val) >= umod) val -= umod;
    return *this;
  }
  modint &operator*=(const modint &p) {
    val = u64(val) * p.val % umod;
    return *this;
  }
  modint &operator/=(const modint &p) {
    *this *= p.inverse();
    return *this;
  }
  modint operator-() const { return modint::raw(val ? mod - val : u32(0)); }
  modint operator+(const modint &p) const { return modint(*this) += p; }
  modint operator-(const modint &p) const { return modint(*this) -= p; }
  modint operator*(const modint &p) const { return modint(*this) *= p; }
  modint operator/(const modint &p) const { return modint(*this) /= p; }
  bool operator==(const modint &p) const { return val == p.val; }
  bool operator!=(const modint &p) const { return val != p.val; }
  modint inverse() const {
    int a = val, b = mod, u = 1, v = 0, t;
    while (b > 0) {
      t = a / b;
      swap(a -= t * b, b), swap(u -= t * v, v);
    }
    return modint(u);
  }
  modint pow(ll n) const {
    assert(n >= 0);
    modint ret(1), mul(val);
    while (n > 0) {
      if (n & 1) ret *= mul;
      mul *= mul;
      n >>= 1;
    }
    return ret;
  }
  static constexpr int get_mod() { return mod; }
  // (n, r), r は 1 の 2^n 乗根
  static constexpr pair<int, int> ntt_info() {
    if (mod == 120586241) return {20, 74066978};
    if (mod == 167772161) return {25, 17};
    if (mod == 469762049) return {26, 30};
    if (mod == 754974721) return {24, 362};
    if (mod == 880803841) return {23, 211};
    if (mod == 943718401) return {22, 663003469};
    if (mod == 998244353) return {23, 31};
    if (mod == 1004535809) return {21, 836905998};
    if (mod == 1045430273) return {20, 363};
    if (mod == 1051721729) return {20, 330};
    if (mod == 1053818881) return {20, 2789};
    return {-1, -1};
  }
  static constexpr bool can_ntt() { return ntt_info().fi != -1; }
};

#ifdef FASTIO
template <int mod>
void rd(modint<mod> &x) {
  fastio::rd(x.val);
  x.val %= mod;
  // assert(0 <= x.val && x.val < mod);
}
template <int mod>
void wt(modint<mod> x) {
  fastio::wt(x.val);
}
#endif

using modint107 = modint<1000000007>;
using modint998 = modint<998244353>;
#line 1 "/home/maspy/compro/library/graph/count/count_labeled_undirected.hpp"
// https://oeis.org/A006125
template <typename mint>
vc<mint> count_labeled_undirected(int N) {
  vc<mint> F(N + 1);
  mint pow2 = 1;
  F[0] = 1;
  FOR(i, 1, N + 1) F[i] = F[i - 1] * pow2, pow2 += pow2;
  return F;
}
#line 2 "/home/maspy/compro/library/poly/fps_log.hpp"

#line 2 "/home/maspy/compro/library/poly/count_terms.hpp"
template<typename mint>
int count_terms(const vc<mint>& f){
  int t = 0;
  FOR(i, len(f)) if(f[i] != mint(0)) ++t;
  return t;
}
#line 2 "/home/maspy/compro/library/mod/mod_inv.hpp"

// long でも大丈夫
// (val * x - 1) が mod の倍数になるようにする
// 特に mod=0 なら x=0 が満たす
ll mod_inv(ll val, ll mod) {
  if (mod == 0) return 0;
  mod = abs(mod);
  val %= mod;
  if (val < 0) val += mod;
  ll a = val, b = mod, u = 1, v = 0, t;
  while (b > 0) {
    t = a / b;
    swap(a -= t * b, b), swap(u -= t * v, v);
  }
  if (u < 0) u += mod;
  return u;
}
#line 2 "/home/maspy/compro/library/mod/crt3.hpp"

constexpr u32 mod_pow_constexpr(u64 a, u64 n, u32 mod) {
  a %= mod;
  u64 res = 1;
  FOR(32) {
    if (n & 1) res = res * a % mod;
    a = a * a % mod, n /= 2;
  }
  return res;
}

template <typename T, u32 p0, u32 p1>
T CRT2(u64 a0, u64 a1) {
  static_assert(p0 < p1);
  static constexpr u64 x0_1 = mod_pow_constexpr(p0, p1 - 2, p1);
  u64 c = (a1 - a0 + p1) * x0_1 % p1;
  return a0 + c * p0;
}

template <typename T, u32 p0, u32 p1, u32 p2>
T CRT3(u64 a0, u64 a1, u64 a2) {
  static_assert(p0 < p1 && p1 < p2);
  static constexpr u64 x1 = mod_pow_constexpr(p0, p1 - 2, p1);
  static constexpr u64 x2 = mod_pow_constexpr(u64(p0) * p1 % p2, p2 - 2, p2);
  static constexpr u64 p01 = u64(p0) * p1;
  u64 c = (a1 - a0 + p1) * x1 % p1;
  u64 ans_1 = a0 + c * p0;
  c = (a2 - ans_1 % p2 + p2) * x2 % p2;
  return T(ans_1) + T(c) * T(p01);
}

template <typename T, u32 p0, u32 p1, u32 p2, u32 p3, u32 p4>
T CRT5(u64 a0, u64 a1, u64 a2, u64 a3, u64 a4) {
  static_assert(p0 < p1 && p1 < p2 && p2 < p3 && p3 < p4);
  static constexpr u64 x1 = mod_pow_constexpr(p0, p1 - 2, p1);
  static constexpr u64 x2 = mod_pow_constexpr(u64(p0) * p1 % p2, p2 - 2, p2);
  static constexpr u64 x3
      = mod_pow_constexpr(u64(p0) * p1 % p3 * p2 % p3, p3 - 2, p3);
  static constexpr u64 x4
      = mod_pow_constexpr(u64(p0) * p1 % p4 * p2 % p4 * p3 % p4, p4 - 2, p4);
  static constexpr u64 p01 = u64(p0) * p1;
  static constexpr u64 p23 = u64(p2) * p3;
  u64 c = (a1 - a0 + p1) * x1 % p1;
  u64 ans_1 = a0 + c * p0;
  c = (a2 - ans_1 % p2 + p2) * x2 % p2;
  u128 ans_2 = ans_1 + c * static_cast<u128>(p01);
  c = static_cast<u64>(a3 - ans_2 % p3 + p3) * x3 % p3;
  u128 ans_3 = ans_2 + static_cast<u128>(c * p2) * p01;
  c = static_cast<u64>(a4 - ans_3 % p4 + p4) * x4 % p4;
  return T(ans_3) + T(c) * T(p01) * T(p23);
}
#line 2 "/home/maspy/compro/library/poly/convolution_naive.hpp"

template <class T, typename enable_if<!has_mod<T>::value>::type* = nullptr>
vc<T> convolution_naive(const vc<T>& a, const vc<T>& b) {
  int n = int(a.size()), m = int(b.size());
  if (n > m) return convolution_naive<T>(b, a);
  if (n == 0) return {};
  vector<T> ans(n + m - 1);
  FOR(i, n) FOR(j, m) ans[i + j] += a[i] * b[j];
  return ans;
}

template <class T, typename enable_if<has_mod<T>::value>::type* = nullptr>
vc<T> convolution_naive(const vc<T>& a, const vc<T>& b) {
  int n = int(a.size()), m = int(b.size());
  if (n > m) return convolution_naive<T>(b, a);
  if (n == 0) return {};
  vc<T> ans(n + m - 1);
  if (n <= 16 && (T::get_mod() < (1 << 30))) {
    for (int k = 0; k < n + m - 1; ++k) {
      int s = max(0, k - m + 1);
      int t = min(n, k + 1);
      u64 sm = 0;
      for (int i = s; i < t; ++i) { sm += u64(a[i].val) * (b[k - i].val); }
      ans[k] = sm;
    }
  } else {
    for (int k = 0; k < n + m - 1; ++k) {
      int s = max(0, k - m + 1);
      int t = min(n, k + 1);
      u128 sm = 0;
      for (int i = s; i < t; ++i) { sm += u64(a[i].val) * (b[k - i].val); }
      ans[k] = T::raw(sm % T::get_mod());
    }
  }
  return ans;
}
#line 2 "/home/maspy/compro/library/poly/convolution_karatsuba.hpp"

// 任意の環でできる
template <typename T>
vc<T> convolution_karatsuba(const vc<T>& f, const vc<T>& g) {
  const int thresh = 30;
  if (min(len(f), len(g)) <= thresh) return convolution_naive(f, g);
  int n = max(len(f), len(g));
  int m = ceil(n, 2);
  vc<T> f1, f2, g1, g2;
  if (len(f) < m) f1 = f;
  if (len(f) >= m) f1 = {f.begin(), f.begin() + m};
  if (len(f) >= m) f2 = {f.begin() + m, f.end()};
  if (len(g) < m) g1 = g;
  if (len(g) >= m) g1 = {g.begin(), g.begin() + m};
  if (len(g) >= m) g2 = {g.begin() + m, g.end()};
  vc<T> a = convolution_karatsuba(f1, g1);
  vc<T> b = convolution_karatsuba(f2, g2);
  FOR(i, len(f2)) f1[i] += f2[i];
  FOR(i, len(g2)) g1[i] += g2[i];
  vc<T> c = convolution_karatsuba(f1, g1);
  vc<T> F(len(f) + len(g) - 1);
  assert(2 * m + len(b) <= len(F));
  FOR(i, len(a)) F[i] += a[i], c[i] -= a[i];
  FOR(i, len(b)) F[2 * m + i] += b[i], c[i] -= b[i];
  if (c.back() == T(0)) c.pop_back();
  FOR(i, len(c)) if (c[i] != T(0)) F[m + i] += c[i];
  return F;
}
#line 2 "/home/maspy/compro/library/poly/ntt.hpp"

template <class mint>
void ntt(vector<mint>& a, bool inverse) {
  assert(mint::can_ntt());
  const int rank2 = mint::ntt_info().fi;
  const int mod = mint::get_mod();
  static array<mint, 30> root, iroot;
  static array<mint, 30> rate2, irate2;
  static array<mint, 30> rate3, irate3;

  assert(rank2 != -1 && len(a) <= (1 << max(0, rank2)));

  static bool prepared = 0;
  if (!prepared) {
    prepared = 1;
    root[rank2] = mint::ntt_info().se;
    iroot[rank2] = mint(1) / root[rank2];
    FOR_R(i, rank2) {
      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];
    }
    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];
    }
  }

  int n = int(a.size());
  int h = topbit(n);
  assert(n == 1 << h);
  if (!inverse) {
    int len = 0;
    while (len < h) {
      if (h - len == 1) {
        int p = 1 << (h - len - 1);
        mint rot = 1;
        FOR(s, 1 << len) {
          int offset = s << (h - len);
          FOR(i, p) {
            auto l = a[i + offset];
            auto r = a[i + offset + p] * rot;
            a[i + offset] = l + r;
            a[i + offset + p] = l - r;
          }
          rot *= rate2[topbit(~s & -~s)];
        }
        len++;
      } else {
        int p = 1 << (h - len - 2);
        mint rot = 1, imag = 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++) {
            u64 mod2 = u64(mod) * mod;
            u64 a0 = a[i + offset].val;
            u64 a1 = u64(a[i + offset + p].val) * rot.val;
            u64 a2 = u64(a[i + offset + 2 * p].val) * rot2.val;
            u64 a3 = u64(a[i + offset + 3 * p].val) * rot3.val;
            u64 a1na3imag = (a1 + mod2 - a3) % mod * imag.val;
            u64 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);
          }
          rot *= rate3[topbit(~s & -~s)];
        }
        len += 2;
      }
    }
  } else {
    mint coef = mint(1) / mint(len(a));
    FOR(i, len(a)) a[i] *= coef;
    int len = h;
    while (len) {
      if (len == 1) {
        int p = 1 << (h - len);
        mint irot = 1;
        FOR(s, 1 << (len - 1)) {
          int offset = s << (h - len + 1);
          FOR(i, p) {
            u64 l = a[i + offset].val;
            u64 r = a[i + offset + p].val;
            a[i + offset] = l + r;
            a[i + offset + p] = (mod + l - r) * irot.val;
          }
          irot *= irate2[topbit(~s & -~s)];
        }
        len--;
      } else {
        int p = 1 << (h - len);
        mint irot = 1, iimag = iroot[2];
        FOR(s, (1 << (len - 2))) {
          mint irot2 = irot * irot;
          mint irot3 = irot2 * irot;
          int offset = s << (h - len + 2);
          for (int i = 0; i < p; i++) {
            u64 a0 = a[i + offset + 0 * p].val;
            u64 a1 = a[i + offset + 1 * p].val;
            u64 a2 = a[i + offset + 2 * p].val;
            u64 a3 = a[i + offset + 3 * p].val;
            u64 x = (mod + a2 - a3) * iimag.val % mod;
            a[i + offset] = a0 + a1 + a2 + a3;
            a[i + offset + 1 * p] = (a0 + mod - a1 + x) * irot.val;
            a[i + offset + 2 * p] = (a0 + a1 + 2 * mod - a2 - a3) * irot2.val;
            a[i + offset + 3 * p] = (a0 + 2 * mod - a1 - x) * irot3.val;
          }
          irot *= irate3[topbit(~s & -~s)];
        }
        len -= 2;
      }
    }
  }
}
#line 1 "/home/maspy/compro/library/poly/fft.hpp"
namespace CFFT {
using real = double;

struct C {
  real x, y;

  C() : x(0), y(0) {}

  C(real x, real y) : x(x), y(y) {}
  inline C operator+(const C& c) const { return C(x + c.x, y + c.y); }
  inline C operator-(const C& c) const { return C(x - c.x, y - c.y); }
  inline C operator*(const C& c) const {
    return C(x * c.x - y * c.y, x * c.y + y * c.x);
  }

  inline C conj() const { return C(x, -y); }
};

const real PI = acosl(-1);
int base = 1;
vector<C> rts = {{0, 0}, {1, 0}};
vector<int> rev = {0, 1};

void ensure_base(int nbase) {
  if (nbase <= base) return;
  rev.resize(1 << nbase);
  rts.resize(1 << nbase);
  for (int i = 0; i < (1 << nbase); i++) {
    rev[i] = (rev[i >> 1] >> 1) + ((i & 1) << (nbase - 1));
  }
  while (base < nbase) {
    real angle = PI * 2.0 / (1 << (base + 1));
    for (int i = 1 << (base - 1); i < (1 << base); i++) {
      rts[i << 1] = rts[i];
      real angle_i = angle * (2 * i + 1 - (1 << base));
      rts[(i << 1) + 1] = C(cos(angle_i), sin(angle_i));
    }
    ++base;
  }
}

void fft(vector<C>& a, int n) {
  assert((n & (n - 1)) == 0);
  int zeros = __builtin_ctz(n);
  ensure_base(zeros);
  int shift = base - zeros;
  for (int i = 0; i < n; i++) {
    if (i < (rev[i] >> shift)) { swap(a[i], a[rev[i] >> shift]); }
  }
  for (int k = 1; k < n; k <<= 1) {
    for (int i = 0; i < n; i += 2 * k) {
      for (int j = 0; j < k; j++) {
        C z = a[i + j + k] * rts[j + k];
        a[i + j + k] = a[i + j] - z;
        a[i + j] = a[i + j] + z;
      }
    }
  }
}
} // namespace CFFT
#line 9 "/home/maspy/compro/library/poly/convolution.hpp"

template <class mint>
vector<mint> convolution_ntt(vector<mint> a, vector<mint> b) {
  if (a.empty() || b.empty()) return {};
  int n = int(a.size()), m = int(b.size());
  int sz = 1;
  while (sz < n + m - 1) sz *= 2;

  // sz = 2^k のときの高速化。分割統治的なやつで損しまくるので。
  if ((n + m - 3) <= sz / 2) {
    auto a_last = a.back(), b_last = b.back();
    a.pop_back(), b.pop_back();
    auto c = convolution(a, b);
    c.resize(n + m - 1);
    c[n + m - 2] = a_last * b_last;
    FOR(i, len(a)) c[i + len(b)] += a[i] * b_last;
    FOR(i, len(b)) c[i + len(a)] += b[i] * a_last;
    return c;
  }

  a.resize(sz), b.resize(sz);
  bool same = a == b;
  ntt(a, 0);
  if (same) {
    b = a;
  } else {
    ntt(b, 0);
  }
  FOR(i, sz) a[i] *= b[i];
  ntt(a, 1);
  a.resize(n + m - 1);
  return a;
}

template <typename mint>
vector<mint> convolution_garner(const vector<mint>& a, const vector<mint>& b) {
  int n = len(a), m = len(b);
  if (!n || !m) return {};
  static constexpr int p0 = 167772161;
  static constexpr int p1 = 469762049;
  static constexpr int p2 = 754974721;
  using mint0 = modint<p0>;
  using mint1 = modint<p1>;
  using mint2 = modint<p2>;
  vc<mint0> a0(n), b0(m);
  vc<mint1> a1(n), b1(m);
  vc<mint2> a2(n), b2(m);
  FOR(i, n) a0[i] = a[i].val, a1[i] = a[i].val, a2[i] = a[i].val;
  FOR(i, m) b0[i] = b[i].val, b1[i] = b[i].val, b2[i] = b[i].val;
  auto c0 = convolution_ntt<mint0>(a0, b0);
  auto c1 = convolution_ntt<mint1>(a1, b1);
  auto c2 = convolution_ntt<mint2>(a2, b2);
  vc<mint> c(len(c0));
  FOR(i, n + m - 1) {
    c[i] = CRT3<mint, p0, p1, p2>(c0[i].val, c1[i].val, c2[i].val);
  }
  return c;
}

template <typename R>
vc<double> convolution_fft(const vc<R>& a, const vc<R>& b) {
  using C = CFFT::C;
  int need = (int)a.size() + (int)b.size() - 1;
  int nbase = 1;
  while ((1 << nbase) < need) nbase++;
  CFFT::ensure_base(nbase);
  int sz = 1 << nbase;
  vector<C> fa(sz);
  for (int i = 0; i < sz; i++) {
    double x = (i < (int)a.size() ? a[i] : 0);
    double y = (i < (int)b.size() ? b[i] : 0);
    fa[i] = C(x, y);
  }
  CFFT::fft(fa, sz);
  C r(0, -0.25 / (sz >> 1)), s(0, 1), t(0.5, 0);
  for (int i = 0; i <= (sz >> 1); i++) {
    int j = (sz - i) & (sz - 1);
    C z = (fa[j] * fa[j] - (fa[i] * fa[i]).conj()) * r;
    fa[j] = (fa[i] * fa[i] - (fa[j] * fa[j]).conj()) * r;
    fa[i] = z;
  }
  for (int i = 0; i < (sz >> 1); i++) {
    C A0 = (fa[i] + fa[i + (sz >> 1)]) * t;
    C A1 = (fa[i] - fa[i + (sz >> 1)]) * t * CFFT::rts[(sz >> 1) + i];
    fa[i] = A0 + A1 * s;
  }
  CFFT::fft(fa, sz >> 1);
  vector<double> ret(need);
  for (int i = 0; i < need; i++) {
    ret[i] = (i & 1 ? fa[i >> 1].y : fa[i >> 1].x);
  }
  return ret;
}

vector<ll> convolution(const vector<ll>& a, const vector<ll>& b) {
  int n = len(a), m = len(b);
  if (!n || !m) return {};
  if (min(n, m) <= 2500) return convolution_naive(a, b);
  ll abs_sum_a = 0, abs_sum_b = 0;
  ll LIM = 1e15;
  FOR(i, n) abs_sum_a = min(LIM, abs_sum_a + abs(a[i]));
  FOR(i, m) abs_sum_b = min(LIM, abs_sum_b + abs(b[i]));
  if (i128(abs_sum_a) * abs_sum_b < 1e15) {
    vc<double> c = convolution_fft<ll>(a, b);
    vc<ll> res(len(c));
    FOR(i, len(c)) res[i] = ll(floor(c[i] + .5));
    return res;
  }

  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 const unsigned long long i1 = mod_inv(MOD2 * MOD3, MOD1);
  static const unsigned long long i2 = mod_inv(MOD1 * MOD3, MOD2);
  static const unsigned long long i3 = mod_inv(MOD1 * MOD2, MOD3);

  using mint1 = modint<MOD1>;
  using mint2 = modint<MOD2>;
  using mint3 = modint<MOD3>;

  vc<mint1> a1(n), b1(m);
  vc<mint2> a2(n), b2(m);
  vc<mint3> a3(n), b3(m);
  FOR(i, n) a1[i] = a[i], a2[i] = a[i], a3[i] = a[i];
  FOR(i, m) b1[i] = b[i], b2[i] = b[i], b3[i] = b[i];

  auto c1 = convolution_ntt<mint1>(a1, b1);
  auto c2 = convolution_ntt<mint2>(a2, b2);
  auto c3 = convolution_ntt<mint3>(a3, b3);

  vc<ll> c(n + m - 1);
  FOR(i, n + m - 1) {
    u64 x = 0;
    x += (c1[i].val * i1) % MOD1 * M2M3;
    x += (c2[i].val * i2) % MOD2 * M1M3;
    x += (c3[i].val * i3) % MOD3 * M1M2;
    ll diff = c1[i].val - ((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;
}

template <typename mint>
vc<mint> convolution(const vc<mint>& a, const vc<mint>& b) {
  int n = len(a), m = len(b);
  if (!n || !m) return {};
  if (mint::can_ntt()) {
    if (min(n, m) <= 50) return convolution_karatsuba<mint>(a, b);
    return convolution_ntt(a, b);
  }
  if (min(n, m) <= 200) return convolution_karatsuba<mint>(a, b);
  return convolution_garner(a, b);
}
#line 4 "/home/maspy/compro/library/poly/fps_inv.hpp"

template <typename mint>
vc<mint> fps_inv_sparse(const vc<mint>& f) {
  int N = len(f);
  vc<pair<int, mint>> dat;
  FOR(i, 1, N) if (f[i] != mint(0)) dat.eb(i, f[i]);
  vc<mint> g(N);
  mint g0 = mint(1) / f[0];
  g[0] = g0;
  FOR(n, 1, N) {
    mint rhs = 0;
    for (auto&& [k, fk]: dat) {
      if (k > n) break;
      rhs -= fk * g[n - k];
    }
    g[n] = rhs * g0;
  }
  return g;
}

template <typename mint>
vc<mint> fps_inv_dense_ntt(const vc<mint>& F) {
  vc<mint> G = {mint(1) / F[0]};
  ll N = len(F), n = 1;
  G.reserve(N);
  while (n < N) {
    vc<mint> f(2 * n), g(2 * n);
    FOR(i, min(N, 2 * n)) f[i] = F[i];
    FOR(i, n) g[i] = G[i];
    ntt(f, false), ntt(g, false);
    FOR(i, 2 * n) f[i] *= g[i];
    ntt(f, true);
    FOR(i, n) f[i] = 0;
    ntt(f, false);
    FOR(i, 2 * n) f[i] *= g[i];
    ntt(f, true);
    FOR(i, n, min(N, 2 * n)) G.eb(-f[i]);
    n *= 2;
  }
  return G;
}

template <typename mint>
vc<mint> fps_inv_dense(const vc<mint>& F) {
  if (mint::can_ntt()) return fps_inv_dense_ntt(F);
  const int N = len(F);
  vc<mint> R = {mint(1) / F[0]};
  vc<mint> p;
  int m = 1;
  while (m < N) {
    p = convolution(R, R);
    p.resize(m + m);
    vc<mint> f = {F.begin(), F.begin() + min(m + m, N)};
    p = convolution(p, f);
    R.resize(m + m);
    FOR(i, m + m) R[i] = R[i] + R[i] - p[i];
    m += m;
  }
  R.resize(N);
  return R;
}

template <typename mint>
vc<mint> fps_inv(const vc<mint>& f) {
  assert(f[0] != mint(0));
  int n = count_terms(f);
  int t = (mint::can_ntt() ? 160 : 820);
  return (n <= t ? fps_inv_sparse<mint>(f) : fps_inv_dense<mint>(f));
}
#line 5 "/home/maspy/compro/library/poly/fps_log.hpp"

template <typename mint>
vc<mint> fps_log_dense(const vc<mint>& f) {
  assert(f[0] == mint(1));
  ll N = len(f);
  vc<mint> df = f;
  FOR(i, N) df[i] *= mint(i);
  df.erase(df.begin());
  auto f_inv = fps_inv(f);
  auto g = convolution(df, f_inv);
  g.resize(N - 1);
  g.insert(g.begin(), 0);
  FOR(i, N) g[i] *= inv<mint>(i);
  return g;
}

template <typename mint>
vc<mint> fps_log_sparse(const vc<mint>& f) {
  int N = f.size();
  vc<pair<int, mint>> dat;
  FOR(i, 1, N) if (f[i] != mint(0)) dat.eb(i, f[i]);
  vc<mint> F(N);
  vc<mint> g(N - 1);
  for (int n = 0; n < N - 1; ++n) {
    mint rhs = mint(n + 1) * f[n + 1];
    for (auto&& [i, fi]: dat) {
      if (i > n) break;
      rhs -= fi * g[n - i];
    }
    g[n] = rhs;
    F[n + 1] = rhs * inv<mint>(n + 1);
  }
  return F;
}

template <typename mint>
vc<mint> fps_log(const vc<mint>& f) {
  assert(f[0] == mint(1));
  int n = count_terms(f);
  int t = (mint::can_ntt() ? 200 : 1200);
  return (n <= t ? fps_log_sparse<mint>(f) : fps_log_dense<mint>(f));
}
#line 3 "/home/maspy/compro/library/graph/count/count_labeled_connected.hpp"

// https://oeis.org/A001187
template <typename mint>
vc<mint> count_labeled_connected(int N) {
  vc<mint> F = count_labeled_undirected<mint>(N);
  FOR(i, N + 1) F[i] *= fact_inv<mint>(i);
  F = fps_log(F);
  FOR(i, N + 1) F[i] *= fact<mint>(i);
  return F;
}
#line 2 "/home/maspy/compro/library/poly/differentiate.hpp"

template <typename mint>
vc<mint> differentiate(const vc<mint>& f) {
  if (len(f) <= 1) return {};
  vc<mint> g(len(f) - 1);
  FOR(i, len(g)) g[i] = f[i + 1] * mint(i + 1);
  return g;
}
#line 2 "/home/maspy/compro/library/poly/composition.hpp"

#line 2 "/home/maspy/compro/library/poly/poly_taylor_shift.hpp"

#line 2 "/home/maspy/compro/library/nt/primetable.hpp"

template <typename T = int>
vc<T> primetable(int LIM) {
  ++LIM;
  const int S = 32768;
  static int done = 2;
  static vc<T> primes = {2}, sieve(S + 1);

  if (done < LIM) {
    done = LIM;

    primes = {2}, sieve.assign(S + 1, 0);
    const int R = LIM / 2;
    primes.reserve(int(LIM / log(LIM) * 1.1));
    vc<pair<int, int>> cp;
    for (int i = 3; i <= S; i += 2) {
      if (!sieve[i]) {
        cp.eb(i, i * i / 2);
        for (int j = i * i; j <= S; j += 2 * i) sieve[j] = 1;
      }
    }
    for (int L = 1; L <= R; L += S) {
      array<bool, S> block{};
      for (auto& [p, idx]: cp)
        for (int i = idx; i < S + L; idx = (i += p)) block[i - L] = 1;
      FOR(i, min(S, R - L)) if (!block[i]) primes.eb((L + i) * 2 + 1);
    }
  }
  int k = LB(primes, LIM + 1);
  return {primes.begin(), primes.begin() + k};
}
#line 3 "/home/maspy/compro/library/mod/powertable.hpp"

// a^0, ..., a^N
template <typename mint>
vc<mint> powertable_1(mint a, ll N) {
  // table of a^i
  vc<mint> f(N + 1, 1);
  FOR(i, N) f[i + 1] = a * f[i];
  return f;
}

// 0^e, ..., N^e
template <typename mint>
vc<mint> powertable_2(ll e, ll N) {
  auto primes = primetable(N);
  vc<mint> f(N + 1, 1);
  f[0] = mint(0).pow(e);
  for (auto&& p: primes) {
    if (p > N) break;
    mint xp = mint(p).pow(e);
    ll pp = p;
    while (pp <= N) {
      ll i = pp;
      while (i <= N) {
        f[i] *= xp;
        i += pp;
      }
      pp *= p;
    }
  }
  return f;
}
#line 5 "/home/maspy/compro/library/poly/poly_taylor_shift.hpp"

// f(x) -> f(x+c)
template <typename mint>
vc<mint> poly_taylor_shift(vc<mint> f, mint c) {
  if (c == mint(0)) return f;
  ll N = len(f);
  FOR(i, N) f[i] *= fact<mint>(i);
  auto b = powertable_1<mint>(c, N);
  FOR(i, N) b[i] *= fact_inv<mint>(i);
  reverse(all(f));
  f = convolution(f, b);
  f.resize(N);
  reverse(all(f));
  FOR(i, N) f[i] *= fact_inv<mint>(i);
  return f;
}
#line 2 "/home/maspy/compro/library/poly/transposed_ntt.hpp"

template <class mint>
void transposed_ntt(vector<mint>& a, bool inverse) {
  assert(mint::can_ntt());
  const int rank2 = mint::ntt_info().fi;
  const int mod = mint::get_mod();
  static array<mint, 30> root, iroot;
  static array<mint, 30> rate2, irate2;
  static array<mint, 30> rate3, irate3;

  assert(rank2 != -1 && len(a) <= (1 << max(0, rank2)));

  static bool prepared = 0;
  if (!prepared) {
    prepared = 1;
    root[rank2] = mint::ntt_info().se;
    iroot[rank2] = mint(1) / root[rank2];
    FOR_R(i, rank2) {
      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];
    }
    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];
    }
  }

  int n = int(a.size());
  int h = topbit(n);
  assert(n == 1 << h);
  if (!inverse) {
    int len = h;
    while (len > 0) {
      if (len == 1) {
        int p = 1 << (h - len);
        mint rot = 1;
        FOR(s, 1 << (len - 1)) {
          int offset = s << (h - len + 1);
          FOR(i, p) {
            u64 l = a[i + offset].val;
            u64 r = a[i + offset + p].val;
            a[i + offset] = l + r;
            a[i + offset + p] = (mod + l - r) * rot.val;
          }
          rot *= rate2[topbit(~s & -~s)];
        }
        len--;
      } else {
        int p = 1 << (h - len);
        mint rot = 1, imag = root[2];
        FOR(s, (1 << (len - 2))) {
          int offset = s << (h - len + 2);
          mint rot2 = rot * rot;
          mint rot3 = rot2 * rot;
          for (int i = 0; i < p; i++) {
            u64 a0 = a[i + offset + 0 * p].val;
            u64 a1 = a[i + offset + 1 * p].val;
            u64 a2 = a[i + offset + 2 * p].val;
            u64 a3 = a[i + offset + 3 * p].val;
            u64 x = (mod + a2 - a3) * imag.val % mod;
            a[i + offset] = a0 + a1 + a2 + a3;
            a[i + offset + 1 * p] = (a0 + mod - a1 + x) * rot.val;
            a[i + offset + 2 * p] = (a0 + a1 + 2 * mod - a2 - a3) * rot2.val;
            a[i + offset + 3 * p] = (a0 + 2 * mod - a1 - x) * rot3.val;
          }
          rot *= rate3[topbit(~s & -~s)];
        }
        len -= 2;
      }
    }
  } else {
    mint coef = mint(1) / mint(len(a));
    FOR(i, len(a)) a[i] *= coef;
    int len = 0;
    while (len < h) {
      if (len == h - 1) {
        int p = 1 << (h - len - 1);
        mint irot = 1;
        FOR(s, 1 << len) {
          int offset = s << (h - len);
          FOR(i, p) {
            auto l = a[i + offset];
            auto r = a[i + offset + p] * irot;
            a[i + offset] = l + r;
            a[i + offset + p] = l - r;
          }
          irot *= irate2[topbit(~s & -~s)];
        }
        len++;
      } else {
        int p = 1 << (h - len - 2);
        mint irot = 1, iimag = iroot[2];
        for (int s = 0; s < (1 << len); s++) {
          mint irot2 = irot * irot;
          mint irot3 = irot2 * irot;
          int offset = s << (h - len);
          for (int i = 0; i < p; i++) {
            u64 mod2 = u64(mod) * mod;
            u64 a0 = a[i + offset].val;
            u64 a1 = u64(a[i + offset + p].val) * irot.val;
            u64 a2 = u64(a[i + offset + 2 * p].val) * irot2.val;
            u64 a3 = u64(a[i + offset + 3 * p].val) * irot3.val;
            u64 a1na3imag = (a1 + mod2 - a3) % mod * iimag.val;
            u64 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);
          }
          irot *= irate3[topbit(~s & -~s)];
        }
        len += 2;
      }
    }
  }
}
#line 6 "/home/maspy/compro/library/poly/composition.hpp"

template <typename mint>
vc<mint> composition_old(vc<mint>& Q, vc<mint>& P) {
  int n = len(P);
  assert(len(P) == len(Q));
  int k = 1;
  while (k * k < n) ++k;
  // compute powers of P
  vv(mint, pow1, k + 1);
  pow1[0] = {1};
  pow1[1] = P;
  FOR3(i, 2, k + 1) {
    pow1[i] = convolution(pow1[i - 1], pow1[1]);
    pow1[i].resize(n);
  }
  vv(mint, pow2, k + 1);
  pow2[0] = {1};
  pow2[1] = pow1[k];
  FOR3(i, 2, k + 1) {
    pow2[i] = convolution(pow2[i - 1], pow2[1]);
    pow2[i].resize(n);
  }
  vc<mint> ANS(n);
  FOR(i, k + 1) {
    vc<mint> f(n);
    FOR(j, k) {
      if (k * i + j < len(Q)) {
        mint coef = Q[k * i + j];
        FOR(d, len(pow1[j])) f[d] += pow1[j][d] * coef;
      }
    }
    f = convolution(f, pow2[i]);
    f.resize(n);
    FOR(d, n) ANS[d] += f[d];
  }
  return ANS;
}

// f(g(x)), O(Nlog^2N)
template <typename mint>
vc<mint> composition_0_ntt(vc<mint> f, vc<mint> g) {
  assert(len(f) == len(g));
  if (f.empty()) return {};

  int n0 = len(f);
  int n = 1;
  while (n < len(f)) n *= 2;
  f.resize(n), g.resize(n);

  vc<mint> W(n);
  {
    // bit reverse order
    vc<int> btr(n);
    int log = topbit(n);
    FOR(i, n) { btr[i] = (btr[i >> 1] >> 1) + ((i & 1) << (log - 1)); }
    int t = mint::ntt_info().fi;
    mint r = mint::ntt_info().se;
    mint dw = r.inverse().pow((1 << t) / (2 * n));
    mint w = 1;
    for (auto& i: btr) { W[i] = w, w *= dw; }
  }

  auto rec = [&](auto& rec, int n, int k, vc<mint>& Q) -> vc<mint> {
    if (n == 1) {
      reverse(all(f));
      transposed_ntt(f, 1);
      mint c = mint(1) / mint(k);
      for (auto& x: f) x *= c;
      vc<mint> p(4 * k);
      FOR(i, k) p[2 * i] = f[i];
      return p;
    }
    auto doubling_y = [&](vc<mint>& A, int l, int r, bool t) -> void {
      mint z = W[k / 2].inverse();
      vc<mint> f(k);
      if (!t) {
        FOR(i, l, r) {
          FOR(j, k) f[j] = A[2 * n * j + i];
          ntt(f, 1);
          mint r = 1;
          FOR(j, 1, k) r *= z, f[j] *= r;
          ntt(f, 0);
          FOR(j, k) A[2 * n * (k + j) + i] = f[j];
        }
      } else {
        FOR(i, l, r) {
          FOR(j, k) f[j] = A[2 * n * (k + j) + i];
          transposed_ntt(f, 0);
          mint r = 1;
          FOR(j, 1, k) r *= z, f[j] *= r;
          transposed_ntt(f, 1);
          FOR(j, k) A[2 * n * j + i] += f[j];
        }
      }
    };

    auto FFT_x = [&](vc<mint>& A, int l, int r, bool t) -> void {
      vc<mint> f(2 * n);
      if (!t) {
        FOR(j, l, r) {
          move(A.begin() + 2 * n * j, A.begin() + 2 * n * (j + 1), f.begin());
          ntt(f, 0);
          move(all(f), A.begin() + 2 * n * j);
        }
      } else {
        FOR(j, l, r) {
          move(A.begin() + 2 * n * j, A.begin() + 2 * n * (j + 1), f.begin());
          transposed_ntt(f, 0);
          move(all(f), A.begin() + 2 * n * j);
        }
      }
    };

    if (n <= k) doubling_y(Q, 1, n, 0), FFT_x(Q, 0, 2 * k, 0);
    if (n > k) FFT_x(Q, 0, k, 0), doubling_y(Q, 0, 2 * n, 0);

    FOR(i, 2 * n * k) Q[i] += 1;
    FOR(i, 2 * n * k, 4 * n * k) Q[i] -= 1;

    vc<mint> nxt_Q(4 * n * k);
    vc<mint> F(2 * n), G(2 * n), f(n), g(n);
    FOR(j, 2 * k) {
      move(Q.begin() + 2 * n * j, Q.begin() + 2 * n * j + 2 * n, G.begin());
      FOR(i, n) { g[i] = G[2 * i] * G[2 * i + 1]; }
      ntt(g, 1);
      move(g.begin(), g.begin() + n / 2, nxt_Q.begin() + n * j);
    }
    FOR(j, 4 * k) nxt_Q[n * j] = 0;

    vc<mint> p = rec(rec, n / 2, k * 2, nxt_Q);
    FOR_R(j, 2 * k) {
      move(p.begin() + n * j, p.begin() + n * j + n / 2, f.begin());
      move(Q.begin() + 2 * n * j, Q.begin() + 2 * n * j + 2 * n, G.begin());
      fill(f.begin() + n / 2, f.end(), mint(0));
      transposed_ntt(f, 1);
      FOR(i, n) {
        f[i] *= W[i];
        F[2 * i] = G[2 * i + 1] * f[i], F[2 * i + 1] = -G[2 * i] * f[i];
      }
      move(F.begin(), F.end(), p.begin() + 2 * n * j);
    }
    if (n <= k) FFT_x(p, 0, 2 * k, 1), doubling_y(p, 0, n, 1);
    if (n > k) doubling_y(p, 0, 2 * n, 1), FFT_x(p, 0, k, 1);
    return p;
  };

  vc<mint> Q(4 * n);
  FOR(i, n) Q[i] = -g[i];

  vc<mint> p = rec(rec, n, 1, Q);
  p.resize(n);
  reverse(all(p));
  p.resize(n0);
  return p;
}

template <typename mint>
vc<mint> composition_0_garner(vc<mint> f, vc<mint> g) {
  constexpr u32 ps[] = {167772161, 469762049, 754974721};
  using mint0 = modint<ps[0]>;
  using mint1 = modint<ps[1]>;
  using mint2 = modint<ps[2]>;

  auto rec = [&](auto& rec, int n, int k, vc<mint> Q) -> vc<mint> {
    if (n == 1) {
      vc<mint> p(2 * k);
      reverse(all(f));
      FOR(i, k) p[2 * i] = f[i];
      return p;
    }
    vc<mint0> Q0(4 * n * k), R0(4 * n * k), p0(4 * n * k);
    vc<mint1> Q1(4 * n * k), R1(4 * n * k), p1(4 * n * k);
    vc<mint2> Q2(4 * n * k), R2(4 * n * k), p2(4 * n * k);
    FOR(i, 2 * n * k) {
      Q0[i] = Q[i].val, R0[i] = (i % 2 == 0 ? Q[i].val : (-Q[i]).val);
      Q1[i] = Q[i].val, R1[i] = (i % 2 == 0 ? Q[i].val : (-Q[i]).val);
      Q2[i] = Q[i].val, R2[i] = (i % 2 == 0 ? Q[i].val : (-Q[i]).val);
    }
    ntt(Q0, 0), ntt(Q1, 0), ntt(Q2, 0), ntt(R0, 0), ntt(R1, 0), ntt(R2, 0);
    FOR(i, 4 * n * k) Q0[i] *= R0[i], Q1[i] *= R1[i], Q2[i] *= R2[i];
    ntt(Q0, 1), ntt(Q1, 1), ntt(Q2, 1);
    vc<mint> QQ(4 * n * k);
    FOR(i, 4 * n * k) {
      QQ[i] = CRT3<mint, ps[0], ps[1], ps[2]>(Q0[i].val, Q1[i].val, Q2[i].val);
    }
    FOR(i, 0, 2 * n * k, 2) { QQ[2 * n * k + i] += Q[i] + Q[i]; }
    vc<mint> nxt_Q(2 * n * k);
    FOR(j, 2 * k) FOR(i, n / 2) {
      nxt_Q[n * j + i] = QQ[(2 * n) * j + (2 * i + 0)];
    }

    vc<mint> nxt_p = rec(rec, n / 2, k * 2, nxt_Q);
    vc<mint> pq(4 * n * k);
    FOR(j, 2 * k) FOR(i, n / 2) {
      pq[(2 * n) * j + (2 * i + 1)] += nxt_p[n * j + i];
    }

    vc<mint> p(2 * n * k);
    FOR(i, 2 * n * k) { p[i] += pq[2 * n * k + i]; }
    FOR(i, 4 * n * k) {
      p0[i] += pq[i].val, p1[i] += pq[i].val, p2[i] += pq[i].val;
    }
    transposed_ntt(p0, 1), transposed_ntt(p1, 1), transposed_ntt(p2, 1);
    FOR(i, 4 * n * k) p0[i] *= R0[i], p1[i] *= R1[i], p2[i] *= R2[i];
    transposed_ntt(p0, 0), transposed_ntt(p1, 0), transposed_ntt(p2, 0);
    FOR(i, 2 * n * k) {
      p[i] += CRT3<mint, ps[0], ps[1], ps[2]>(p0[i].val, p1[i].val, p2[i].val);
    }
    return p;
  };
  assert(len(f) == len(g));
  int n = 1;
  while (n < len(f)) n *= 2;
  int out_len = len(f);
  f.resize(n), g.resize(n);
  int k = 1;
  vc<mint> Q(2 * n);
  FOR(i, n) Q[i] = -g[i];
  vc<mint> p = rec(rec, n, k, Q);

  vc<mint> output(n);
  FOR(i, n) output[i] = p[i];
  reverse(all(output));
  output.resize(out_len);
  return output;
}

template <typename mint>
vc<mint> composition(vc<mint> f, vc<mint> g) {
  assert(len(f) == len(g));
  if (f.empty()) return {};
  // [x^0]g=0 に帰着しておく
  if (g[0] != mint(0)) {
    f = poly_taylor_shift<mint>(f, g[0]);
    g[0] = 0;
  }
  if (mint::can_ntt()) { return composition_0_ntt(f, g); }
  return composition_0_garner(f, g);
}
#line 2 "/home/maspy/compro/library/poly/fps_div.hpp"

#line 5 "/home/maspy/compro/library/poly/fps_div.hpp"

// f/g. f の長さで出力される.
template <typename mint, bool SPARSE = false>
vc<mint> fps_div(vc<mint> f, vc<mint> g) {
  if (SPARSE || count_terms(g) < 200) return fps_div_sparse(f, g);
  int n = len(f);
  g.resize(n);
  g = fps_inv<mint>(g);
  f = convolution(f, g);
  f.resize(n);
  return f;
}

// f/g ただし g は sparse
template <typename mint>
vc<mint> fps_div_sparse(vc<mint> f, vc<mint>& g) {
  if (g[0] != mint(1)) {
    mint cf = g[0].inverse();
    for (auto&& x: f) x *= cf;
    for (auto&& x: g) x *= cf;
  }

  vc<pair<int, mint>> dat;
  FOR(i, 1, len(g)) if (g[i] != mint(0)) dat.eb(i, -g[i]);
  FOR(i, len(f)) {
    for (auto&& [j, x]: dat) {
      if (i >= j) f[i] += x * f[i - j];
    }
  }
  return f;
}
#line 2 "/home/maspy/compro/library/poly/integrate.hpp"

// 不定積分:integrate(f)
// 定積分:integrate(f, L, R)
template <typename mint>
vc<mint> integrate(const vc<mint>& f) {
  vc<mint> g(len(f) + 1);
  FOR3(i, 1, len(g)) g[i] = f[i - 1] * inv<mint>(i);
  return g;
}

// 不定積分:integrate(f)
// 定積分:integrate(f, L, R)
template <typename mint>
mint integrate(const vc<mint>& f, mint L, mint R) {
  mint I = 0;
  mint pow_L = 1, pow_R = 1;
  FOR(i, len(f)) {
    pow_L *= L, pow_R *= R;
    I += inv<mint>(i + 1) * f[i] * (pow_R - pow_L);
  }
  return I;
}
#line 6 "/home/maspy/compro/library/poly/fps_exp.hpp"

template <typename mint>
vc<mint> fps_exp_sparse(vc<mint>& f) {
  if (len(f) == 0) return {mint(1)};
  assert(f[0] == 0);
  int N = len(f);
  // df を持たせる
  vc<pair<int, mint>> dat;
  FOR(i, 1, N) if (f[i] != mint(0)) dat.eb(i - 1, mint(i) * f[i]);
  vc<mint> F(N);
  F[0] = 1;
  FOR(n, 1, N) {
    mint rhs = 0;
    for (auto&& [k, fk]: dat) {
      if (k > n - 1) break;
      rhs += fk * F[n - 1 - k];
    }
    F[n] = rhs * inv<mint>(n);
  }
  return F;
}

template <typename mint>
vc<mint> fps_exp_dense(vc<mint>& h) {
  const int n = len(h);
  assert(n > 0 && h[0] == mint(0));
  if (mint::can_ntt()) {
    vc<mint>& f = h;
    vc<mint> b = {1, (1 < n ? f[1] : 0)};
    vc<mint> c = {1}, z1, z2 = {1, 1};
    while (len(b) < n) {
      int m = len(b);
      auto y = b;
      y.resize(2 * m);
      ntt(y, 0);
      z1 = z2;
      vc<mint> z(m);
      FOR(i, m) z[i] = y[i] * z1[i];
      ntt(z, 1);
      FOR(i, m / 2) z[i] = 0;
      ntt(z, 0);
      FOR(i, m) z[i] *= -z1[i];
      ntt(z, 1);
      c.insert(c.end(), z.begin() + m / 2, z.end());
      z2 = c;
      z2.resize(2 * m);
      ntt(z2, 0);

      vc<mint> x(f.begin(), f.begin() + m);
      FOR(i, len(x) - 1) x[i] = x[i + 1] * mint(i + 1);
      x.back() = 0;
      ntt(x, 0);
      FOR(i, m) x[i] *= y[i];
      ntt(x, 1);

      FOR(i, m - 1) x[i] -= b[i + 1] * mint(i + 1);

      x.resize(m + m);
      FOR(i, m - 1) x[m + i] = x[i], x[i] = 0;
      ntt(x, 0);
      FOR(i, m + m) x[i] *= z2[i];
      ntt(x, 1);
      FOR_R(i, len(x) - 1) x[i + 1] = x[i] * inv<mint>(i + 1);
      x[0] = 0;

      FOR3(i, m, min(n, m + m)) x[i] += f[i];
      FOR(i, m) x[i] = 0;
      ntt(x, 0);
      FOR(i, m + m) x[i] *= y[i];
      ntt(x, 1);
      b.insert(b.end(), x.begin() + m, x.end());
    }
    b.resize(n);
    return b;
  }

  const int L = len(h);
  assert(L > 0 && h[0] == mint(0));
  int LOG = 0;
  while (1 << LOG < L) ++LOG;
  h.resize(1 << LOG);
  auto dh = differentiate(h);
  vc<mint> f = {1}, g = {1};
  int m = 1;

  vc<mint> p;

  FOR(LOG) {
    p = convolution(f, g);
    p.resize(m);
    p = convolution(p, g);
    p.resize(m);
    g.resize(m);
    FOR(i, m) g[i] += g[i] - p[i];
    p = {dh.begin(), dh.begin() + m - 1};
    p = convolution(f, p);
    p.resize(m + m - 1);
    FOR(i, m + m - 1) p[i] = -p[i];
    FOR(i, m - 1) p[i] += mint(i + 1) * f[i + 1];
    p = convolution(p, g);

    p.resize(m + m - 1);
    FOR(i, m - 1) p[i] += dh[i];
    p = integrate(p);
    FOR(i, m + m) p[i] = h[i] - p[i];
    p[0] += mint(1);
    f = convolution(f, p);
    f.resize(m + m);
    m += m;
  }
  f.resize(L);
  return f;
}

template <typename mint>
vc<mint> fps_exp(vc<mint>& f) {
  int n = count_terms(f);
  int t = (mint::can_ntt() ? 320 : 3000);
  return (n <= t ? fps_exp_sparse<mint>(f) : fps_exp_dense<mint>(f));
}
#line 5 "/home/maspy/compro/library/poly/fps_pow.hpp"

// fps の k 乗を求める。k >= 0 の前提である。
// 定数項が 1 で、k が mint の場合には、fps_pow_1 を使うこと。
// ・dense な場合: log, exp を使う O(NlogN)
// ・sparse な場合: O(NK)
template <typename mint>
vc<mint> fps_pow(const vc<mint>& f, ll k) {
  assert(0 <= k);
  int n = len(f);
  if (k == 0) {
    vc<mint> g(n);
    g[0] = mint(1);
    return g;
  }
  int d = n;
  FOR_R(i, n) if (f[i] != 0) d = i;
  // d * k >= n
  if (d >= ceil<ll>(n, k)) {
    vc<mint> g(n);
    return g;
  }
  ll off = d * k;
  mint c = f[d];
  mint c_inv = mint(1) / mint(c);
  vc<mint> g(n - off);
  FOR(i, n - off) g[i] = f[d + i] * c_inv;
  g = fps_pow_1(g, mint(k));
  vc<mint> h(n);
  c = c.pow(k);
  FOR(i, len(g)) h[off + i] = g[i] * c;
  return h;
}

template <typename mint>
vc<mint> fps_pow_1_sparse(const vc<mint>& f, mint K) {
  int N = len(f);
  assert(N == 0 || f[0] == mint(1));
  vc<pair<int, mint>> dat;
  FOR(i, 1, N) if (f[i] != mint(0)) dat.eb(i, f[i]);
  vc<mint> g(N);
  g[0] = 1;
  FOR(n, N - 1) {
    mint& x = g[n + 1];
    for (auto&& [d, cf]: dat) {
      if (d > n + 1) break;
      mint t = cf * g[n - d + 1];
      x += t * (K * mint(d) - mint(n - d + 1));
    }
    x *= inv<mint>(n + 1);
  }
  return g;
}

template <typename mint>
vc<mint> fps_pow_1_dense(const vc<mint>& f, mint K) {
  assert(f[0] == mint(1));
  auto log_f = fps_log(f);
  FOR(i, len(f)) log_f[i] *= K;
  return fps_exp_dense(log_f);
}

template <typename mint>
vc<mint> fps_pow_1(const vc<mint>& f, mint K) {
  int n = count_terms(f);
  int t = (mint::can_ntt() ? 100 : 1300);
  return (n <= t ? fps_pow_1_sparse(f, K) : fps_pow_1_dense(f, K));
}

// f^e, sparse, O(NMK)
template <typename mint>
vvc<mint> fps_pow_1_sparse_2d(vvc<mint> f, mint n) {
  assert(f[0][0] == mint(1));
  int N = len(f), M = len(f[0]);
  vv(mint, dp, N, M);
  dp[0] = fps_pow_1_sparse<mint>(f[0], n);

  vc<tuple<int, int, mint>> dat;
  FOR(i, N) FOR(j, M) {
    if ((i > 0 || j > 0) && f[i][j] != mint(0)) dat.eb(i, j, f[i][j]);
  }
  FOR(i, 1, N) {
    FOR(j, M) {
      // F = f^n, f dF = n df F
      // [x^{i-1}y^j]
      mint lhs = 0, rhs = 0;
      for (auto&& [a, b, c]: dat) {
        if (a < i && b <= j) lhs += dp[i - a][j - b] * mint(i - a);
        if (a <= i && b <= j) rhs += dp[i - a][j - b] * c * mint(a);
      }
      dp[i][j] = (n * rhs - lhs) * inv<mint>(i);
    }
  }
  return dp;
}
#line 2 "/home/maspy/compro/library/poly/power_projection.hpp"

#line 4 "/home/maspy/compro/library/poly/power_projection.hpp"

template <typename mint>
vc<mint> power_projection_0_ntt(vc<mint> wt, vc<mint> f, int m) {
  assert(len(f) == len(wt) && f[0] == mint(0));

  int n = 1;
  while (n < len(f)) n *= 2;

  for (auto& x: f) x = -x;
  f.resize(n), wt.resize(n);
  reverse(all(wt));
  vc<mint>&P = wt, &Q = f;
  P.resize(4 * n), Q.resize(4 * n);

  vc<mint> W(n);
  {
    // bit reverse order
    vc<int> btr(n);
    int log = topbit(n);
    FOR(i, n) { btr[i] = (btr[i >> 1] >> 1) + ((i & 1) << (log - 1)); }
    int t = mint::ntt_info().fi;
    mint r = mint::ntt_info().se;
    mint dw = r.inverse().pow((1 << t) / (2 * n));
    mint w = 1;
    for (auto& i: btr) { W[i] = w, w *= dw; }
  }

  int k = 1;
  while (n > 1) {
    /*
    FFT step
    04.. -> 048c
    15.. -> 159d
    .... -> 26ae
    .... -> 37bf
    */

    auto doubling_y = [&](vc<mint>& A, int l, int r) -> void {
      mint z = W[k / 2].inverse();
      vc<mint> f(k);
      FOR(i, l, r) {
        FOR(j, k) f[j] = A[2 * n * j + i];
        ntt(f, 1);
        mint r = 1;
        FOR(j, 1, k) r *= z, f[j] *= r;
        ntt(f, 0);
        FOR(j, k) A[2 * n * (k + j) + i] = f[j];
      }
    };

    auto FFT_x = [&](vc<mint>& A, int l, int r) -> void {
      vc<mint> f(2 * n);
      FOR(j, l, r) {
        move(A.begin() + 2 * n * j, A.begin() + 2 * n * (j + 1), f.begin());
        ntt(f, 0);
        move(all(f), A.begin() + 2 * n * j);
      }
    };

    if (n <= k) {
      doubling_y(P, 0, n), doubling_y(Q, 1, n);
      FFT_x(P, 0, 2 * k), FFT_x(Q, 0, 2 * k);
    } else {
      FFT_x(P, 0, k), FFT_x(Q, 0, k);
      doubling_y(P, 0, 2 * n), doubling_y(Q, 0, 2 * n);
    }
    FOR(i, 2 * n * k) Q[i] += 1;
    FOR(i, 2 * n * k, 4 * n * k) Q[i] -= 1;

    /*
    048c -> 0248????
    159d -> ....????
    26ae
    37bf
    */
    vc<mint> F(2 * n), G(2 * n), f(n), g(n);
    FOR(j, 2 * k) {
      move(P.begin() + 2 * n * j, P.begin() + 2 * n * j + 2 * n, F.begin());
      move(Q.begin() + 2 * n * j, Q.begin() + 2 * n * j + 2 * n, G.begin());
      FOR(i, n) {
        f[i] = W[i] * (F[2 * i] * G[2 * i + 1] - F[2 * i + 1] * G[2 * i]);
        g[i] = G[2 * i] * G[2 * i + 1];
      }
      ntt(f, 1), ntt(g, 1);
      fill(f.begin() + n / 2, f.end(), mint(0));
      fill(g.begin() + n / 2, g.end(), mint(0));
      move(all(f), P.begin() + n * j);
      move(all(g), Q.begin() + n * j);
    }
    fill(P.begin() + 2 * n * k, P.end(), mint(0));
    fill(Q.begin() + 2 * n * k, Q.end(), mint(0));
    FOR(j, 4 * k) Q[n * j] = 0;
    n /= 2, k *= 2;
  }
  FOR(i, k) P[i] = P[2 * i];
  P.resize(k);
  mint c = mint(1) / mint(k);
  for (auto& x: P) x *= c;
  ntt(P, 1);
  reverse(all(P));
  P.resize(m + 1);
  return P;
}

// \sum_jwt[j][x^j]f^i を i=0,1,...,m
template <typename mint>
vc<mint> power_projection_0_garner(vc<mint> wt, vc<mint> f, int m) {
  assert(len(f) == len(wt) && f[0] == mint(0));
  int n = 1;
  while (n < len(f)) n *= 2;
  f.resize(n), wt.resize(n);
  reverse(all(wt));

  constexpr u32 p[] = {167772161, 469762049, 754974721};
  using mint0 = modint<p[0]>;
  using mint1 = modint<p[1]>;
  using mint2 = modint<p[2]>;
  vc<mint0> W0(2 * n);
  vc<mint1> W1(2 * n);
  vc<mint2> W2(2 * n);
  {
    // bit reverse order
    vc<int> btr(2 * n);
    int log = topbit(2 * n);
    FOR(i, 2 * n) { btr[i] = (btr[i >> 1] >> 1) + ((i & 1) << (log - 1)); }
    {
      int t = mint0::ntt_info().fi;
      mint0 r = mint0::ntt_info().se;
      mint0 dw = r.inverse().pow((1 << t) / (4 * n));
      mint0 w = 1;
      for (auto& i: btr) { W0[i] = w, w *= dw; }
    }
    {
      int t = mint1::ntt_info().fi;
      mint1 r = mint1::ntt_info().se;
      mint1 dw = r.inverse().pow((1 << t) / (4 * n));
      mint1 w = 1;
      for (auto& i: btr) { W1[i] = w, w *= dw; }
    }
    {
      int t = mint2::ntt_info().fi;
      mint2 r = mint2::ntt_info().se;
      mint2 dw = r.inverse().pow((1 << t) / (4 * n));
      mint2 w = 1;
      for (auto& i: btr) { W2[i] = w, w *= dw; }
    }
  }

  int k = 1;
  vc<mint> P(2 * n), Q(2 * n);
  FOR(i, n) P[i] = wt[i], Q[i] = -f[i];

  while (n > 1) {
    vc<mint0> P0(4 * n * k), Q0(4 * n * k);
    vc<mint1> P1(4 * n * k), Q1(4 * n * k);
    vc<mint2> P2(4 * n * k), Q2(4 * n * k);
    FOR(i, 2 * n * k) P0[i] = P[i].val, Q0[i] = Q[i].val;
    FOR(i, 2 * n * k) P1[i] = P[i].val, Q1[i] = Q[i].val;
    FOR(i, 2 * n * k) P2[i] = P[i].val, Q2[i] = Q[i].val;
    Q0[2 * n * k] = 1, Q1[2 * n * k] = 1, Q2[2 * n * k] = 1;
    ntt(P0, 0), ntt(Q0, 0), ntt(P1, 0), ntt(Q1, 0), ntt(P2, 0), ntt(Q2, 0);
    FOR(i, 2 * n * k) {
      P0[i] = inv<mint0>(2) * W0[i]
              * (P0[2 * i] * Q0[2 * i + 1] - P0[2 * i + 1] * Q0[2 * i]);
      Q0[i] = Q0[2 * i] * Q0[2 * i + 1];
      P1[i] = inv<mint1>(2) * W1[i]
              * (P1[2 * i] * Q1[2 * i + 1] - P1[2 * i + 1] * Q1[2 * i]);
      Q1[i] = Q1[2 * i] * Q1[2 * i + 1];
      P2[i] = inv<mint2>(2) * W2[i]
              * (P2[2 * i] * Q2[2 * i + 1] - P2[2 * i + 1] * Q2[2 * i]);
      Q2[i] = Q2[2 * i] * Q2[2 * i + 1];
    }
    P0.resize(2 * n * k), Q0.resize(2 * n * k);
    P1.resize(2 * n * k), Q1.resize(2 * n * k);
    P2.resize(2 * n * k), Q2.resize(2 * n * k);
    ntt(P0, 1), ntt(Q0, 1), ntt(P1, 1), ntt(Q1, 1), ntt(P2, 1), ntt(Q2, 1);

    constexpr i128 K = u128(p[0]) * p[1] * p[2];
    auto get = [&](mint0 a, mint1 b, mint2 c) -> mint {
      i128 x = CRT3<u128, p[0], p[1], p[2]>(a.val, b.val, c.val);
      i128 y = K - x;
      return (x < y ? mint(x) : -mint(y));
    };

    fill(all(P), mint(0));
    fill(all(Q), mint(0));
    FOR(j, 2 * k) FOR(i, n / 2) {
      int k = n * j + i;
      P[k] = get(P0[k], P1[k], P2[k]);
      Q[k] = get(Q0[k], Q1[k], Q2[k]);
    }
    Q[0] = 0;
    n /= 2, k *= 2;
  }
  vc<mint> F(k);
  FOR(i, k) F[i] = P[2 * i];
  reverse(all(F));
  F.resize(m + 1);
  return F;
}

// \sum_j[x^j]f^i を i=0,1,...,m
template <typename mint>
vc<mint> power_projection(vc<mint> wt, vc<mint> f, int m) {
  assert(len(f) == len(wt));
  if (f.empty()) { return vc<mint>(m + 1, mint(0)); }
  if (f[0] != mint(0)) {
    mint c = f[0];
    f[0] = 0;
    vc<mint> A = power_projection(wt, f, m);
    FOR(p, m + 1) A[p] *= fact_inv<mint>(p);
    vc<mint> B(m + 1);
    mint pow = 1;
    FOR(q, m + 1) B[q] = pow * fact_inv<mint>(q), pow *= c;
    A = convolution<mint>(A, B);
    A.resize(m + 1);
    FOR(i, m + 1) A[i] *= fact<mint>(i);
    return A;
  }
  if (mint::can_ntt()) { return power_projection_0_ntt(wt, f, m); }
  return power_projection_0_garner(wt, f, m);
}
#line 6 "/home/maspy/compro/library/poly/compositional_inverse.hpp"

// O(N^2)
template <typename mint>
vc<mint> compositional_inverse_old(const vc<mint>& F) {
  const int N = len(F);
  if (N == 0) return {};
  assert(F[0] == mint(0));
  if (N == 1) return F;
  assert(F[0] == mint(0) && F[1] != mint(0));
  vc<mint> DF = differentiate(F);

  vc<mint> G(2);
  G[1] = mint(1) / F[1];
  while (len(G) < N) {
    // G:= G(x)-(F(G(x))-x)/DF(G(x))
    int n = len(G);
    vc<mint> G1, G2;
    {
      vc<mint> FF(2 * n), GG(2 * n), DFF(n);
      FOR(i, min<int>(len(F), 2 * n)) FF[i] = F[i];
      FOR(i, min<int>(len(DF), n)) DFF[i] = DF[i];
      FOR(i, n) GG[i] = G[i];
      G1 = composition(FF, GG);
      G2 = composition(DFF, G);
    }
    G1 = {G1.begin() + n, G1.end()};
    G1 = fps_div(G1, G2);
    G.resize(2 * n);
    FOR(i, n) G[n + i] -= G1[i];
  }
  G.resize(N);
  return G;
}

template <typename mint>
vc<mint> compositional_inverse(vc<mint> f) {
  const int n = len(f) - 1;
  if (n == -1) return {};
  assert(f[0] == mint(0));
  if (n == 0) return f;
  assert(f[1] != mint(0));
  mint c = f[1];
  mint ic = c.inverse();
  for (auto& x: f) x *= ic;
  vc<mint> wt(n + 1);
  wt[n] = 1;

  vc<mint> A = power_projection<mint>(wt, f, n);
  vc<mint> g(n);
  FOR(i, 1, n + 1) g[n - i] = mint(n) * A[i] * inv<mint>(i);
  g = fps_pow_1<mint>(g, -inv<mint>(n));
  g.insert(g.begin(), 0);

  mint pow = 1;
  FOR(i, len(g)) g[i] *= pow, pow *= ic;
  return g;
}

// G->F(G), G->DF(G) を与える
// len(G) まで求める. len(F) まで求めてもいいよ.
// 計算量は合成とだいたい同等
template <typename mint, typename F1, typename F2>
vc<mint> compositional_inverse(const vc<mint>& F, F1 comp_F, F2 comp_DF) {
  const int N = len(F);
  assert(N <= 0 || F[0] == mint(0));
  assert(N <= 1 || F[1] != mint(0));

  vc<mint> G(2);
  G[1] = mint(1) / F[1];
  while (len(G) < N) {
    int n = len(G);
    // G:= G(x)-(F(G(x))-x)/DF(G(x))
    vc<mint> G2 = comp_DF(G);
    G.resize(2 * n);
    vc<mint> G1 = comp_F(G);
    G1 = {G1.begin() + n, G1.end()};
    G1 = fps_div(G1, G2);
    FOR(i, n) G[n + i] -= G1[i];
  }
  G.resize(N);
  return G;
}
#line 5 "/home/maspy/compro/library/graph/count/count_labeled_bridgeless.hpp"

// 橋のない連結グラフ
// https://oeis.org/A095983
// N=1: 1
// O(Nlog^2N)
template <typename mint>
vc<mint> count_labeled_bridgeless(int N) {
  vc<mint> C = count_labeled_connected<mint>(N);
  FOR(i, N + 1) C[i] *= fact_inv<mint>(i);

  vc<mint> D(N + 1);
  FOR(i, N + 1) D[i] = mint(i) * C[i];

  vc<mint> E = fps_exp(D);
  E.insert(E.begin(), mint(0));
  E.pop_back();

  // D(x)=B(E(x))
  vc<mint> IE = compositional_inverse(E);
  vc<mint> B = composition(D, IE);

  vc<mint> A(N + 1);
  FOR(i, 1, N + 1) A[i] = B[i] * inv<mint>(i);

  FOR(i, 1, N + 1) A[i] *= fact<mint>(i);
  return A;
}

// https://oeis.org/A095983
// N での値のみ, O(NlogN)
template <typename mint>
mint count_labeled_bridgeless_single(int N) {
  if (N == 0) return 0;
  vc<mint> C = count_labeled_connected<mint>(N);
  FOR(i, N + 1) C[i] *= fact_inv<mint>(i);

  vc<mint> D(N + 1);
  FOR(i, N + 1) D[i] = mint(i) * C[i];

  vc<mint> E = fps_exp(D);
  E.insert(E.begin(), mint(0));
  E.pop_back();

  // D(x)=B(E(x))
  // [x^N]B(x) を求めたい
  // Lagrange Inversion
  // N[x^N]D(IE(x))=[x^{-1}]D'(x)E(x)^{-N}
  // =[x^{N-1}]D'(x)(E(x)/x)^{-N}

  E.erase(E.begin());
  E = fps_pow_1<mint>(E, -N);
  D = differentiate(D);
  mint ANS = 0;
  FOR(i, N) ANS += D[i] * E[N - 1 - i];
  ANS *= inv<mint>(N);

  // [x^N]B(x) が出た
  ANS *= inv<mint>(N);
  ANS *= fact<mint>(N);
  return ANS;
}
#line 2 "/home/maspy/compro/library/graph/count/count_labeled_tree.hpp"

// https://oeis.org/A000272
template <typename mint>
vc<mint> count_labeled_tree(ll nmax) {
  vc<mint> f(nmax + 1);
  FOR(n, 1, nmax + 1) { f[n] = (n == 1 ? mint(1) : mint(n).pow(n - 2)); }
  return f;
}
#line 7 "main.cpp"

#line 2 "/home/maspy/compro/library/poly/convolution_all.hpp"

#line 2 "/home/maspy/compro/library/poly/ntt_doubling.hpp"

#line 4 "/home/maspy/compro/library/poly/ntt_doubling.hpp"

// 2^k 次多項式の長さ 2^k が与えられるので 2^k+1 にする
template <typename mint, bool transposed = false>
void ntt_doubling(vector<mint>& a) {
  static array<mint, 30> root;
  static bool prepared = 0;
  if (!prepared) {
    prepared = 1;
    const int rank2 = mint::ntt_info().fi;
    root[rank2] = mint::ntt_info().se;
    FOR_R(i, rank2) { root[i] = root[i + 1] * root[i + 1]; }
  }

  if constexpr (!transposed) {
    const int M = (int)a.size();
    auto b = a;
    ntt(b, 1);
    mint r = 1, zeta = root[topbit(2 * M)];
    FOR(i, M) b[i] *= r, r *= zeta;
    ntt(b, 0);
    copy(begin(b), end(b), back_inserter(a));
  } else {
    const int M = len(a) / 2;
    vc<mint> tmp = {a.begin(), a.begin() + M};
    a = {a.begin() + M, a.end()};
    transposed_ntt(a, 0);
    mint r = 1, zeta = root[topbit(2 * M)];
    FOR(i, M) a[i] *= r, r *= zeta;
    transposed_ntt(a, 1);
    FOR(i, M) a[i] += tmp[i];
  }
}
#line 5 "/home/maspy/compro/library/poly/convolution_all.hpp"

template <typename T>
vc<T> convolution_all(vc<vc<T>>& polys) {
  if (len(polys) == 0) return {T(1)};
  while (1) {
    int n = len(polys);
    if (n == 1) break;
    int m = ceil(n, 2);
    FOR(i, m) {
      if (2 * i + 1 == n) {
        polys[i] = polys[2 * i];
      } else {
        polys[i] = convolution(polys[2 * i], polys[2 * i + 1]);
      }
    }
    polys.resize(m);
  }
  return polys[0];
}

// product of 1-A[i]x
template <typename mint>
vc<mint> convolution_all_1(vc<mint> A) {
  if (!mint::can_ntt()) {
    vvc<mint> polys;
    for (auto& a: A) polys.eb(vc<mint>({mint(1), -a}));
    return convolution_all(polys);
  }
  int D = 6;
  using poly = vc<mint>;
  int n = 1;
  while (n < len(A)) n *= 2;
  int k = topbit(n);
  vc<mint> F(n), nxt_F(n);
  FOR(i, len(A)) F[i] = -A[i];
  FOR(d, k) {
    int b = 1 << d;
    if (d < D) {
      fill(all(nxt_F), mint(0));
      for (int L = 0; L < n; L += 2 * b) {
        FOR(i, b) FOR(j, b) { nxt_F[L + i + j] += F[L + i] * F[L + b + j]; }
        FOR(i, b) nxt_F[L + b + i] += F[L + i] + F[L + b + i];
      }
    }
    elif (d == D) {
      for (int L = 0; L < n; L += 2 * b) {
        poly f1 = {F.begin() + L, F.begin() + L + b};
        poly f2 = {F.begin() + L + b, F.begin() + L + 2 * b};
        f1.resize(2 * b), f2.resize(2 * b), ntt(f1, 0), ntt(f2, 0);
        FOR(i, b) nxt_F[L + i] = f1[i] * f2[i] + f1[i] + f2[i];
        FOR(i, b, 2 * b) nxt_F[L + i] = f1[i] * f2[i] - f1[i] - f2[i];
      }
    }
    else {
      for (int L = 0; L < n; L += 2 * b) {
        poly f1 = {F.begin() + L, F.begin() + L + b};
        poly f2 = {F.begin() + L + b, F.begin() + L + 2 * b};
        ntt_doubling(f1), ntt_doubling(f2);
        FOR(i, b) nxt_F[L + i] = f1[i] * f2[i] + f1[i] + f2[i];
        FOR(i, b, 2 * b) nxt_F[L + i] = f1[i] * f2[i] - f1[i] - f2[i];
      }
    }
    swap(F, nxt_F);
  }
  if (k - 1 >= D) ntt(F, 1);
  F.eb(1), reverse(all(F));
  F.resize(len(A) + 1);
  return F;
}
#line 9 "main.cpp"

using mint = modint998;

void solve() {
  LL(N);
  VEC(mint, A, N);
  vvc<mint> polys;
  FOR(i, N) polys.eb(vc<mint>({mint(1), A[i]}));
  vc<mint> CF = convolution_all<mint>(polys);
  vc<mint> F = count_labeled_bridgeless<mint>(N);

  mint ANS = 0;
  // k=1
  ANS += CF[1] * F[N];

  FOR(i, 1, N + 1) F[i] *= mint(i) * fact_inv<mint>(i - 1);

  vc<mint> dp = F;

  FOR(k, 2, N + 1) {
    dp = convolution<mint>(dp, F);
    dp.resize(N + 1);
    mint x = dp[N];
    x *= fact<mint>(N - k);
    x *= mint(N).pow(k - 2);
    x *= CF[k];
    ANS += x;
  }
  print(ANS);
}

signed main() {
  int T = 1;
  // INT(T);
  FOR(T) solve();
  return 0;
}

詳細信息

Test #1:

score: 100
Accepted
time: 0ms
memory: 4092kb

input:

3
8 5 9

output:

1102

result:

ok "1102"

Test #2:

score: 0
Accepted
time: 0ms
memory: 3880kb

input:

5
4 2 1 3 10

output:

63860

result:

ok "63860"

Test #3:

score: 0
Accepted
time: 0ms
memory: 3888kb

input:

7
229520041 118275986 281963154 784360383 478705114 655222915 970715006

output:

35376232

result:

ok "35376232"

Test #4:

score: 0
Accepted
time: 13ms
memory: 3996kb

input:

300
7 8 2 8 6 5 5 3 2 3 8 0 6 0 1 0 10 7 10 0 1 0 6 7 2 6 4 7 9 4 6 5 5 9 8 5 4 5 3 5 4 4 10 2 4 9 7 5 2 2 5 6 3 6 8 2 8 3 6 2 5 1 10 3 0 7 1 9 6 5 10 0 3 0 2 4 2 7 6 10 1 0 0 9 4 3 5 5 2 6 1 8 5 4 0 0 5 8 8 1 3 9 9 9 8 1 4 10 7 4 8 5 0 4 3 4 4 8 1 6 1 10 9 3 2 5 0 0 5 2 7 5 4 10 3 5 10 10 7 6 10 3 ...

output:

409590176

result:

ok "409590176"

Test #5:

score: 0
Accepted
time: 14ms
memory: 4252kb

input:

335
4 3 7 7 8 1 4 7 8 8 4 3 5 5 6 8 8 9 3 7 2 4 6 6 6 3 0 7 8 4 6 1 9 10 9 9 0 7 10 3 3 4 10 5 10 4 10 3 7 7 1 9 8 4 0 3 8 1 10 10 7 5 2 7 6 0 4 7 5 9 1 4 10 3 2 9 2 0 1 5 3 5 5 9 9 3 5 6 10 6 9 5 10 10 8 10 5 9 6 1 10 6 7 1 0 7 10 1 6 7 8 2 2 10 1 3 4 1 5 3 3 2 4 10 3 5 8 0 10 0 9 4 9 2 7 3 8 7 4 7...

output:

997747

result:

ok "997747"

Test #6:

score: 0
Accepted
time: 1ms
memory: 4208kb

input:

84
2 5 3 4 5 8 10 5 2 10 7 6 10 10 7 7 3 2 1 7 8 5 9 10 7 5 6 1 2 8 2 8 6 5 4 6 9 0 3 9 3 2 0 2 9 0 4 4 8 10 3 4 6 10 10 5 8 1 10 8 2 7 3 10 8 8 3 2 8 7 4 10 2 6 9 9 3 6 3 3 9 0 7 6

output:

182929290

result:

ok "182929290"

Test #7:

score: 0
Accepted
time: 1ms
memory: 4120kb

input:

54
9 2 1 10 6 6 10 4 7 6 0 3 8 10 5 7 8 6 1 10 9 6 1 8 0 4 2 7 4 0 9 8 5 3 0 4 3 6 1 8 4 1 4 9 6 6 8 0 8 0 0 7 6 9

output:

43066240

result:

ok "43066240"

Test #8:

score: 0
Accepted
time: 1ms
memory: 3864kb

input:

32
0 8 6 8 1 3 9 5 9 0 4 2 4 4 3 10 2 3 1 8 2 6 5 3 9 5 0 0 5 2 1 4

output:

718335570

result:

ok "718335570"

Test #9:

score: 0
Accepted
time: 0ms
memory: 4096kb

input:

1
998244352

output:

998244352

result:

ok "998244352"

Test #10:

score: 0
Accepted
time: 13ms
memory: 4056kb

input:

400
998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244...

output:

764763555

result:

ok "764763555"

Test #11:

score: 0
Accepted
time: 0ms
memory: 3988kb

input:

85
998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 9982443...

output:

360553407

result:

ok "360553407"

Test #12:

score: 0
Accepted
time: 5ms
memory: 4164kb

input:

191
998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244352 998244...

output:

991556265

result:

ok "991556265"

Test #13:

score: 0
Accepted
time: 0ms
memory: 3844kb

input:

5
998244352 998244352 998244352 998244352 998244352

output:

998243313

result:

ok "998243313"

Test #14:

score: 0
Accepted
time: 0ms
memory: 3888kb

input:

1
1

output:

1

result:

ok "1"

Test #15:

score: 0
Accepted
time: 13ms
memory: 4080kb

input:

400
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ...

output:

304058802

result:

ok "304058802"

Test #16:

score: 0
Accepted
time: 16ms
memory: 4120kb

input:

386
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ...

output:

874115996

result:

ok "874115996"

Test #17:

score: 0
Accepted
time: 13ms
memory: 4056kb

input:

313
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ...

output:

597837845

result:

ok "597837845"

Test #18:

score: 0
Accepted
time: 11ms
memory: 4036kb

input:

268
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ...

output:

419739297

result:

ok "419739297"

Test #19:

score: 0
Accepted
time: 1ms
memory: 3988kb

input:

54
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

output:

643244867

result:

ok "643244867"

Test #20:

score: 0
Accepted
time: 1ms
memory: 3992kb

input:

48
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

output:

338935899

result:

ok "338935899"

Test #21:

score: 0
Accepted
time: 0ms
memory: 3952kb

input:

12
1 1 1 1 1 1 1 1 1 1 1 1

output:

530659406

result:

ok "530659406"

Test #22:

score: 0
Accepted
time: 0ms
memory: 3844kb

input:

16
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

output:

873741770

result:

ok "873741770"

Test #23:

score: 0
Accepted
time: 15ms
memory: 4024kb

input:

358
1115290 857418774 525660612 441235960 968251556 195367707 499270374 150410361 311616821 559224631 56376437 943235745 210570297 973440142 173148033 156186709 113638344 240700037 220654177 232430149 10319333 895951986 632968612 969427208 953160305 662164174 33843437 666747237 34205190 811103418 41...

output:

286780900

result:

ok "286780900"

Test #24:

score: 0
Accepted
time: 11ms
memory: 4332kb

input:

344
210579027 582997879 503991744 614640417 67235757 419878515 164535437 554084256 51607125 652025880 891447125 13583488 80121136 152736049 421847155 801187930 34239618 40500488 767047613 353848772 24784010 319866280 913730443 802405315 9245074 512437704 262407695 883841184 511503173 334945884 19176...

output:

217532565

result:

ok "217532565"

Test #25:

score: 0
Accepted
time: 14ms
memory: 4136kb

input:

325
630363144 393404219 366794662 459012744 644644744 90410787 930109789 246555884 917192211 5371492 414476764 571657222 667592533 200323050 421503836 125424416 264941519 988742481 275608116 281878470 441716151 276997372 469030579 287933529 258099275 745817136 121648206 734858183 6675212 48521173 17...

output:

805089310

result:

ok "805089310"

Test #26:

score: 0
Accepted
time: 16ms
memory: 4136kb

input:

400
823489320 406308599 710963770 183707427 192930969 941365774 318564299 391028855 945374838 651744270 515755727 220857626 599403217 214957584 335628890 771694833 40989299 34892948 630275822 869708185 432704750 924850167 707864789 232688853 406616372 529994171 782650336 979286144 653704962 98275198...

output:

227120863

result:

ok "227120863"

Test #27:

score: 0
Accepted
time: 16ms
memory: 4052kb

input:

400
805673855 954340879 768398694 792304488 160627816 690839001 634355243 680917132 889295686 174793413 162216449 663827931 792641124 536196712 718524372 416336507 377989502 506596252 498339899 205499242 720836814 666357765 542341092 715613501 108264501 828631634 378880723 4945299 472651139 36366555...

output:

197153359

result:

ok "197153359"

Test #28:

score: 0
Accepted
time: 16ms
memory: 4056kb

input:

400
573858409 158564131 626297515 95107209 839325592 131488841 262394741 598473086 279712965 923126037 768477685 872125938 43550359 350073805 625331165 631979459 231780563 364979372 994161997 417207682 561100817 652033756 620534272 372707170 800776175 349668140 135175766 794164905 319904460 23767601...

output:

309947167

result:

ok "309947167"

Test #29:

score: 0
Accepted
time: 4ms
memory: 3976kb

input:

161
454284697 718044840 911733869 788445829 374976576 283555956 330659567 534673219 763772621 533686340 997431381 315009839 801324614 867648208 840434404 84390366 444646874 652727596 245127393 429009611 491221735 782941712 766298213 670004861 389539042 58372655 501168063 678515082 901575199 7964062 ...

output:

871565443

result:

ok "871565443"

Test #30:

score: 0
Accepted
time: 4ms
memory: 3960kb

input:

162
151292163 943012123 167343147 819676643 584819196 603260437 344227100 217480474 257123917 755733732 306150953 58563430 585700931 430100762 23364684 779598621 281842628 501243718 739611077 892539286 74267401 75305112 125317256 859095786 751541515 405943984 918972027 808877799 705127200 721405494 ...

output:

273432531

result:

ok "273432531"

Test #31:

score: 0
Accepted
time: 12ms
memory: 4124kb

input:

286
600838530 575651850 385279426 475664485 619069265 780822783 860939782 184686123 193863774 466950919 765401970 705574987 282843644 717393988 375193483 210523577 335822289 399592519 691770149 949281236 374732311 386267435 94137955 739197796 853274439 85692571 391770291 584612694 455182007 64033146...

output:

581998699

result:

ok "581998699"

Test #32:

score: 0
Accepted
time: 1ms
memory: 3836kb

input:

61
453833616 501467684 4992671 214825639 871776849 218199413 42498305 303731723 912156523 129282295 439845605 182960525 185237067 162024603 36559317 688854981 935232225 246423320 92982685 695989722 630828913 551225463 167009365 765939546 822255011 178394229 882957486 3774194 362820770 200498412 9203...

output:

455579427

result:

ok "455579427"

Test #33:

score: 0
Accepted
time: 0ms
memory: 4180kb

input:

25
900307596 286223988 229751451 948490346 250323590 175633754 171483351 707853698 603512678 51411170 126676903 326582510 111531585 521302732 467030281 284302822 453471425 898992972 344271140 632092014 841124127 159268130 234849517 332336122 538047172

output:

641428561

result:

ok "641428561"

Test #34:

score: 0
Accepted
time: 1ms
memory: 4068kb

input:

50
893955548 5432673 340595831 583427119 94992225 787645123 311038284 546749098 933218937 561482178 527027577 871516321 329687526 96875316 862464008 320975040 435140352 951500073 831730146 242883780 961810021 310011134 441489680 217976348 203907166 525210038 295522145 713990656 44280374 492792810 10...

output:

474987173

result:

ok "474987173"

Test #35:

score: 0
Accepted
time: 0ms
memory: 3976kb

input:

17
726738121 723815755 532257301 649033140 817058831 665912348 585846647 472719308 53020833 679093694 601943548 536712177 917063040 137577090 676474390 447455603 55046910

output:

205253339

result:

ok "205253339"

Test #36:

score: 0
Accepted
time: 0ms
memory: 3888kb

input:

13
319526944 707203324 397137993 712092752 253972256 682960643 636749775 764641774 359483944 695780350 619279205 717907790 322375408

output:

301609478

result:

ok "301609478"

Test #37:

score: 0
Accepted
time: 0ms
memory: 4092kb

input:

15
673123463 250231589 715576329 413978055 995958701 401244843 682058967 349009605 504949036 838330837 739330277 480154478 764761812 434210368 470676772

output:

460419982

result:

ok "460419982"

Extra Test:

score: 0
Extra Test Passed