結果
| 問題 |
No.1171 Runs in Subsequences
|
| ユーザー |
 ecottea
|
| 提出日時 | 2025-08-03 03:53:35 |
| 言語 | C++17 (gcc 13.3.0 + boost 1.87.0) |
| 結果 |
AC
|
| 実行時間 | 71 ms / 2,000 ms |
| コード長 | 49,283 bytes |
| コンパイル時間 | 16,325 ms |
| コンパイル使用メモリ | 380,520 KB |
| 実行使用メモリ | 7,720 KB |
| 最終ジャッジ日時 | 2025-08-03 03:53:54 |
| 合計ジャッジ時間 | 18,062 ms |
|
ジャッジサーバーID （参考情報） |
judge5 / judge2 |
（要ログイン）
| ファイルパターン | 結果 |
|---|---|
| sample | AC * 4 |
| other | AC * 18 |
ソースコード
#ifndef HIDDEN_IN_VS // 折りたたみ用
// 警告の抑制
#define _CRT_SECURE_NO_WARNINGS
// ライブラリの読み込み
#include <bits/stdc++.h>
using namespace std;
// 型名の短縮
using ll = long long; using ull = unsigned long long; // -2^63 ～ 2^63 = 9e18（int は -2^31 ～ 2^31 = 2e9）
using pii = pair<int, int>; using pll = pair<ll, ll>; using pil = pair<int, ll>; using pli = pair<ll, int>;
using vi = vector<int>; using vvi = vector<vi>; using vvvi = vector<vvi>; using vvvvi = vector<vvvi>;
using vl = vector<ll>; using vvl = vector<vl>; using vvvl = vector<vvl>; using vvvvl = vector<vvvl>;
using vb = vector<bool>; using vvb = vector<vb>; using vvvb = vector<vvb>;
using vc = vector<char>; using vvc = vector<vc>; using vvvc = vector<vvc>;
using vd = vector<double>; using vvd = vector<vd>; using vvvd = vector<vvd>;
template <class T> using priority_queue_rev = priority_queue<T, vector<T>, greater<T>>;
using Graph = vvi;
// 定数の定義
const double PI = acos(-1);
int DX[4] = { 1, 0, -1, 0 }; // 4 近傍（下，右，上，左）
int DY[4] = { 0, 1, 0, -1 };
int INF = 1001001001; ll INFL = 4004004003094073385LL; // (int)INFL = INF, (int)(-INFL) = -INF;
// 入出力高速化
struct fast_io { fast_io() { cin.tie(nullptr); ios::sync_with_stdio(false); cout << fixed << setprecision(18); } } fastIOtmp;
// 汎用マクロの定義
#define all(a) (a).begin(), (a).end()
#define sz(x) ((int)(x).size())
#define lbpos(a, x) (int)distance((a).begin(), std::lower_bound(all(a), (x)))
#define ubpos(a, x) (int)distance((a).begin(), std::upper_bound(all(a), (x)))
#define Yes(b) {cout << ((b) ? "Yes\n" : "No\n");}
#define rep(i, n) for(int i = 0, i##_len = int(n); i < i##_len; ++i) // 0 から n-1 まで昇順
#define repi(i, s, t) for(int i = int(s), i##_end = int(t); i <= i##_end; ++i) // s から t まで昇順
#define repir(i, s, t) for(int i = int(s), i##_end = int(t); i >= i##_end; --i) // s から t まで降順
#define repe(v, a) for(const auto& v : (a)) // a の全要素（変更不可能）
#define repea(v, a) for(auto& v : (a)) // a の全要素（変更可能）
#define repb(set, d) for(int set = 0, set##_ub = 1 << int(d); set < set##_ub; ++set) // d ビット全探索（昇順）
#define repis(i, set) for(int i = lsb(set), bset##i = set; i < 32; bset##i -= 1 << i, i = lsb(bset##i)) // set の全要素（昇順）
#define repp(a) sort(all(a)); for(bool a##_perm = true; a##_perm; a##_perm = next_permutation(all(a))) // a の順列全て（昇順）
#define uniq(a) {sort(all(a)); (a).erase(unique(all(a)), (a).end());} // 重複除去
#define EXIT(a) {cout << (a) << endl; exit(0);} // 強制終了
#define inQ(x, y, u, l, d, r) ((u) <= (x) && (l) <= (y) && (x) < (d) && (y) < (r)) // 半開矩形内判定
// 汎用関数の定義
template <class T> inline ll powi(T n, int k) { ll v = 1; rep(i, k) v *= n; return v; }
template <class T> inline bool chmax(T& M, const T& x) { if (M < x) { M = x; return true; } return false; } // 最大値を更新（更新されたら true を返す）
template <class T> inline bool chmin(T& m, const T& x) { if (m > x) { m = x; return true; } return false; } // 最小値を更新（更新されたら true を返す）
template <class T> inline int getb(T set, int i) { return (set >> i) & T(1); }
template <class T> inline T smod(T n, T m) { n %= m; if (n < 0) n += m; return n; } // 非負mod
// 演算子オーバーロード
template <class T, class U> inline istream& operator>>(istream& is, pair<T, U>& p) { is >> p.first >> p.second; return is; }
template <class T> inline istream& operator>>(istream& is, vector<T>& v) { repea(x, v) is >> x; return is; }
template <class T> inline vector<T>& operator--(vector<T>& v) { repea(x, v) --x; return v; }
template <class T> inline vector<T>& operator++(vector<T>& v) { repea(x, v) ++x; return v; }
#endif // 折りたたみ用
#if __has_include(<atcoder/all>)
#include <atcoder/all>
using namespace atcoder;
#ifdef _MSC_VER
#include "localACL.hpp"
#endif
//using mint = modint998244353;
using mint = static_modint<(int)1e9+7>;
//using mint = modint; // mint::set_mod(m);
using vm = vector<mint>; using vvm = vector<vm>; using vvvm = vector<vvm>; using vvvvm = vector<vvvm>; using pim = pair<int, mint>;
#endif
#ifdef _MSC_VER // 手元環境（Visual Studio）
#include "local.hpp"
#else // 提出用（gcc）
int mute_dump = 0;
int frac_print = 0;
#if __has_include(<atcoder/all>)
namespace atcoder {
inline istream& operator>>(istream& is, mint& x) { ll x_; is >> x_; x = x_; return is; }
inline ostream& operator<<(ostream& os, const mint& x) { os << x.val(); return os; }
}
#endif
inline int popcount(int n) { return __builtin_popcount(n); }
inline int popcount(ll n) { return __builtin_popcountll(n); }
inline int lsb(int n) { return n != 0 ? __builtin_ctz(n) : 32; }
inline int lsb(ll n) { return n != 0 ? __builtin_ctzll(n) : 64; }
inline int msb(int n) { return n != 0 ? (31 - __builtin_clz(n)) : -1; }
inline int msb(ll n) { return n != 0 ? (63 - __builtin_clzll(n)) : -1; }
#define dump(...)
#define dumpel(v)
#define dump_math(v)
#define input_from_file(f)
#define output_to_file(f)
#define Assert(b) { if (!(b)) { vc MLE(1<<30); EXIT(MLE.back()); } } // RE の代わりに MLE を出す
#endif
// 愚直
mint naive(const string& s) {
int n = sz(s);
mint res = 0;
repb(set, n) {
char c = '-'; res++;
repis(i, set) {
if (c != '-') {
if (c != s[i]) res++;
}
c = s[i];
}
}
return res - 1;
}
//【行列】
/*
* Matrix<T>(int n, int m) : O(n m)
* n×m 零行列で初期化する．
*
* Matrix<T>(int n) : O(n^2)
* n×n 単位行列で初期化する．
*
* Matrix<T>(vvT a) : O(n m)
* 二次元配列 a[0..n)[0..m) の要素で初期化する．
*
* bool empty() : O(1)
* 行列が空かを返す．
*
* A + B : O(n m)
* n×m 行列 A, B の和を返す．+= も使用可．
*
* A - B : O(n m)
* n×m 行列 A, B の差を返す．-= も使用可．
*
* c * A ／ A * c : O(n m)
* n×m 行列 A とスカラー c のスカラー積を返す．*= も使用可．
*
* A * x : O(n m)
* n×m 行列 A と n 次元列ベクトル x の積を返す．
*
* x * A : O(n m)（やや遅い）
* m 次元行ベクトル x と n×m 行列 A の積を返す．
*
* A * B : O(n m l)
* n×m 行列 A と m×l 行列 B の積を返す．
*
* Mat pow(ll d) : O(n^3 log d)
* 自身を d 乗した行列を返す．
*/
template <class T>
struct Matrix {
int n, m; // 行列のサイズ（n 行 m 列）
vector<vector<T>> v; // 行列の成分
// n×m 零行列で初期化する．
Matrix(int n, int m) : n(n), m(m), v(n, vector<T>(m)) {}
// n×n 単位行列で初期化する．
Matrix(int n) : n(n), m(n), v(n, vector<T>(n)) { rep(i, n) v[i][i] = T(1); }
// 二次元配列 a[0..n)[0..m) の要素で初期化する．
Matrix(const vector<vector<T>>& a) : n(sz(a)), m(sz(a[0])), v(a) {}
Matrix() : n(0), m(0) {}
// 代入
Matrix(const Matrix&) = default;
Matrix& operator=(const Matrix&) = default;
// アクセス
inline vector<T> const& operator[](int i) const { return v[i]; }
inline vector<T>& operator[](int i) {
// verify : https://judge.yosupo.jp/problem/matrix_product
// inline を付けて [] でアクセスするとなぜか v[] への直接アクセスより速くなった．
return v[i];
}
// 入力
friend istream& operator>>(istream& is, Matrix& a) {
rep(i, a.n) rep(j, a.m) is >> a.v[i][j];
return is;
}
// 行の追加
void push_back(const vector<T>& a) {
Assert(sz(a) == m);
v.push_back(a);
n++;
}
// 行の削除
void pop_back() {
Assert(n > 0);
v.pop_back();
n--;
}
// サイズ変更
void resize(int n_) {
v.resize(n_);
n = n_;
}
void resize(int n_, int m_) {
n = n_;
m = m_;
v.resize(n);
rep(i, n) v[i].resize(m);
}
// 空か
bool empty() const { return min(n, m) == 0; }
// 比較
bool operator==(const Matrix& b) const { return n == b.n && m == b.m && v == b.v; }
bool operator!=(const Matrix& b) const { return !(*this == b); }
// 加算，減算，スカラー倍
Matrix& operator+=(const Matrix& b) {
rep(i, n) rep(j, m) v[i][j] += b[i][j];
return *this;
}
Matrix& operator-=(const Matrix& b) {
rep(i, n) rep(j, m) v[i][j] -= b[i][j];
return *this;
}
Matrix& operator*=(const T& c) {
rep(i, n) rep(j, m) v[i][j] *= c;
return *this;
}
Matrix operator+(const Matrix& b) const { return Matrix(*this) += b; }
Matrix operator-(const Matrix& b) const { return Matrix(*this) -= b; }
Matrix operator*(const T& c) const { return Matrix(*this) *= c; }
friend Matrix operator*(const T& c, const Matrix<T>& a) { return a * c; }
Matrix operator-() const { return Matrix(*this) *= T(-1); }
// 行列ベクトル積 : O(m n)
vector<T> operator*(const vector<T>& x) const {
vector<T> y(n);
rep(i, n) rep(j, m) y[i] += v[i][j] * x[j];
return y;
}
// ベクトル行列積 : O(m n)
friend vector<T> operator*(const vector<T>& x, const Matrix& a) {
vector<T> y(a.m);
rep(i, a.n) rep(j, a.m) y[j] += x[i] * a[i][j];
return y;
}
// 積：O(n^3)
Matrix operator*(const Matrix& b) const {
// verify : https://judge.yosupo.jp/problem/matrix_product
Matrix res(n, b.m);
rep(i, res.n) rep(k, m) rep(j, res.m) res[i][j] += v[i][k] * b[k][j];
return res;
}
Matrix& operator*=(const Matrix& b) { *this = *this * b; return *this; }
// 累乗：O(n^3 log d)
Matrix pow(ll d) const {
// verify : https://judge.yosupo.jp/problem/pow_of_matrix
Matrix res(n), pow2 = *this;
while (d > 0) {
if (d & 1) res *= pow2;
pow2 *= pow2;
d >>= 1;
}
return res;
}
#ifdef _MSC_VER
friend ostream& operator<<(ostream& os, const Matrix& a) {
rep(i, a.n) {
os << "[";
rep(j, a.m) os << a[i][j] << " ]"[j == a.m - 1];
if (i < a.n - 1) os << "\n";
}
return os;
}
#endif
};
//【行簡約形（行交換なし）】O(n m min(n, m))
/*
* 行基本変形（行交換なし）で n×m 行列 A を行簡約形に変形し，ピボット位置のリストを返す．
*/
template <class T>
vector<pii> row_reduced_form(Matrix<T>& A) {
int n = A.n, m = A.m;
vector<pii> piv;
piv.reserve(min(n, m));
// 未確定の列を記録しておくリスト
list<int> rjs;
rep(j, m) rjs.push_back(j);
rep(i, n) {
// 第 i 行の係数を左から走査し非 0 を見つける．
auto it = rjs.begin();
for (; it != rjs.end(); it++) if (A[i][*it] != 0) break;
// 第 i 行の全てが 0 なら無視する．
if (it == rjs.end()) continue;
// A[i][j] をピボットに選択する．
int j = *it;
rjs.erase(it);
piv.emplace_back(i, j);
// A[i][j] が 1 になるよう行全体を A[i][j] で割る．
T Aij_inv = T(1) / A[i][j];
repi(j2, j, m - 1) A[i][j2] *= Aij_inv;
// 第 i 行以外の第 j 列の成分が全て 0 になるよう第 i 行を定数倍して減じる．
rep(i2, n) if (A[i2][j] != 0 && i2 != i) {
T mul = A[i2][j];
repi(j2, j, m - 1) A[i2][j2] -= A[i][j2] * mul;
}
}
return piv;
}
//【逆行列】O(n^3)
/*
* n 次正方行列 mat の逆行列を返す（存在しなければ空）
*/
template <class T>
Matrix<T> inverse_matrix(const Matrix<T>& mat) {
// verify : https://judge.yosupo.jp/problem/inverse_matrix
int n = mat.n;
// 元の行列 mat と単位行列を繋げた拡大行列 v を作る．
vector<vector<T>> v(n, vector<T>(2 * n));
rep(i, n) rep(j, n) {
v[i][j] = mat[i][j];
if (i == j) v[i][n + j] = 1;
}
int m = 2 * n;
// 注目位置を (i, j)（i 行目かつ j 列目）とする．
int i = 0, j = 0;
// 拡大行列に対して行基本変形を行い，左側を単位行列にすることを目指す．
while (i < n && j < m) {
// 同じ列の下方の行から非 0 成分を見つける．
int i2 = i;
while (i2 < n && v[i2][j] == T(0)) i2++;
// 見つからなかったら全て 0 の列があったので mat は非正則
if (i2 == n) return Matrix<T>();
// 見つかったら i 行目とその行を入れ替える．
if (i != i2) swap(v[i], v[i2]);
// v[i][j] が 1 になるよう行全体を v[i][j] で割る．
T vij_inv = T(1) / v[i][j];
repi(j2, j, m - 1) v[i][j2] *= vij_inv;
// v[i][j] と同じ列の成分が全て 0 になるよう i 行目を定数倍して減じる．
rep(i2, n) {
// i 行目だけは引かない．
if (i2 == i) continue;
T mul = v[i2][j];
repi(j2, j, m - 1) v[i2][j2] -= v[i][j2] * mul;
}
// 注目位置を右下に移す．
i++; j++;
}
// 拡大行列の右半分が mat の逆行列なのでコピーする．
Matrix<T> mat_inv(n, n);
rep(i, n) rep(j, n) mat_inv[i][j] = v[i][n + j];
return mat_inv;
}
// 遷移行列の係数を計算し，埋め込み用のコードを出力する．
// 待てない場合は len_max とか LB_max とかを指定する．
void embed_coefs(int K, int len_max = INF, int LB_max = INF) {
vector<string> ss{""};
int idx = 0;
vector<pii> piv_prv;
repi(len, 0, INF) {
dump("----------- len:", len, "--------------");
int L = sz(ss); int LB = min(L, LB_max);
dump("L:", L);
// (i,j) 成分が naive(ss[i] + ss[j]) であるような行列 mat を得る．
Matrix<mint> mat(L, LB);
rep(i, L) rep(j, LB) mat[i][j] = naive(ss[i] + ss[j]);
//dump("mat:"); dump(mat);
// mat に対して行基本変形を行いピボット位置のリスト piv を得る．
auto piv = row_reduced_form(mat);
dump("piv(", sz(piv), "):"); dump(piv);
// rank の更新がなかったら必要な情報は揃ったとみなして打ち切る．
if (len == len_max || (sz(piv) > 0 && sz(piv) == sz(piv_prv))) {
int R = sz(piv);
// 選択した行と列をそれぞれ昇順に並べて is, js とする（0 始まりのはず）
vi is(R), js(R);
rep(r, R) tie(is[r], js[r]) = piv[r];
sort(all(js));
// 基底の変換行列 P を得る．
Matrix<mint> P(R, R);
rep(i, R) rep(j, R) P[i][j] = naive(ss[is[i]] + ss[js[j]]);
// P の逆行列 P_inv を得る．
auto P_inv = inverse_matrix(P);
// 各文字に対応する表現行列を得る．
vector<Matrix<mint>> mats(K, Matrix<mint>(R, R));
rep(k, K) {
char c = '0' + k;
rep(i, R) rep(j, R) mats[k][i][j] = naive(ss[is[i]] + c + ss[js[j]]);
mats[k] = mats[k] * P_inv;
}
// 雑に圧縮しようとしたけどあんま効いてない
//mt19937_64 mt((int)time(NULL));
//uniform_int_distribution<ll> rnd(0, (ll)1e18);
//rep(hoge, 10000) {
// int i = rnd(mt) % sz(mats);
// int j = rnd(mt) % sz(mats);
// mats.push_back(mats[i] * mats[j]);
//}
//unordered_map<int, int> cnt;
//rep(i, R) rep(j, R) cnt[mats.back()[i][j].val()]++;
//dump(cnt); dump(sz(cnt)); exit(0);
vector<tuple<int, int, mint>> elems; vi offsets{ 0 };
rep(k, K) {
rep(i, R) rep(j, R) {
if (mats[k][i][j] != 0) elems.emplace_back(i, j, mats[k][i][j]);
}
offsets.push_back(sz(elems));
}
// 埋め込み用の文字列を出力する．
auto to_signed_string = [](mint x) {
int v = x.val();
int mod = mint::mod();
if (2 * v > mod) v -= mod;
return to_string(v);
};
string eb = "constexpr int DIM = ";
eb += to_string(R);
eb += ";\n";
eb += "constexpr int COL = ";
eb += to_string(K);
eb += ";\n";
eb += "";
eb += "tuple<int, int, VTYPE> matAs[] = {";
for (auto [i, j, v] : elems) {
eb += "{";
eb += to_string(i);
eb += ",";
eb += to_string(j);
eb += ",";
eb += to_signed_string(v);
eb += "},";
}
eb.pop_back();
eb += "};\n";
eb += "int offset[COL + 1] = {";
repi(k, 0, K) eb += to_string(offsets[k]) + ",";
eb.pop_back();
eb += "};\n";
eb += "VTYPE vecQ[DIM] = {";
rep(i, R) eb += to_signed_string(P[i][0]) + ",";
eb.pop_back();
eb += "};\n";
cout << eb;
exit(0);
}
// 基底ガチャ
//mt19937_64 mt((int)time(NULL)); shuffle(ss.begin() + 1, ss.end(), mt);
// 次に長い文字列たちを ss に追加する．
int nidx = sz(ss);
repi(i, idx, nidx - 1) rep(k, K) {
ss.push_back(ss[i]);
ss.back().push_back('0' + k);
}
idx = nidx;
piv_prv = move(piv);
}
}
template <class VTYPE>
VTYPE solve(const string& s) {
// --------------- embed_coefs() からの出力を貼る ----------------
constexpr int DIM = 28;
constexpr int COL = 26;
tuple<int, int, VTYPE> matAs[] = { 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{22,1,-1},{22,2,-2},{22,21,2},{22,22,1},{22,27,1},{23,1,-1},{23,2,-2},{23,21,2},{23,23,1},{23,27,1},{24,1,-1},{24,2,-2},{24,21,2},{24,24,1},{24,27,1},{25,1,-1},{25,2,-2},{25,21,2},{25,25,1},{25,27,1},{26,1,-1},{26,2,-2},{26,21,2},{26,26,1},{26,27,1},{27,0,4},{27,1,-4},{27,2,-8},{27,21,4},{27,27,5},{0,22,1},{1,2,-2},{1,22,2},{1,27,1},{2,1,-1},{2,2,-1},{2,22,2},{2,27,1},{3,1,-1},{3,2,-2},{3,3,1},{3,22,2},{3,27,1},{4,1,-1},{4,2,-2},{4,4,1},{4,22,2},{4,27,1},{5,1,-1},{5,2,-2},{5,5,1},{5,22,2},{5,27,1},{6,1,-1},{6,2,-2},{6,6,1},{6,22,2},{6,27,1},{7,1,-1},{7,2,-2},{7,7,1},{7,22,2},{7,27,1},{8,1,-1},{8,2,-2},{8,8,1},{8,22,2},{8,27,1},{9,1,-1},{9,2,-2},{9,9,1},{9,22,2},{9,27,1},{10,1,-1},{10,2,-2},{10,10,1},{10,22,2},{10,27,1},{11,1,-1},{11,2,-2},{11,11,1},{11,22,2},{11,27,1},{12,1,-1},{12,2,-2},{12,12,1},{12,22,2},{12,27,1},{13,1,-1},{13,2,-2},{13,13,1},{13,22,2},{13,27,1},{14,1,-1},{14,2,-2},{14,14,1},{14,22,2},{14,27,1},{15,1,-1},{15,2,-2},{15,15,1},{15,22,2},{15,27,1},{16,1,-1},{16,2,-2},{16,16,1},{16,22,2},{16,27,1},{17,1,-1},{17,2,-2},{17,17,1},{17,22,2},{17,27,1},{18,1,-1},{18,2,-2},{18,18,1},{18,22,2},{18,27,1},{19,1,-1},{19,2,-2},{19,19,1},{19,22,2},{19,27,1},{20,1,-1},{20,2,-2},{20,20,1},{20,22,2},{20,27,1},{21,1,-1},{21,2,-2},{21,21,1},{21,22,2},{21,27,1},{22,0,-2},{22,22,3},{23,1,-1},{23,2,-2},{23,22,2},{23,23,1},{23,27,1},{24,1,-1},{24,2,-2},{24,22,2},{24,24,1},{24,27,1},{25,1,-1},{25,2,-2},{25,22,2},{25,25,1},{25,27,1},{26,1,-1},{26,2,-2},{26,22,2},{26,26,1},{26,27,1},{27,0,4},{27,1,-4},{27,2,-8},{27,22,4},{27,27,5},{0,23,1},{1,2,-2},{1,23,2},{1,27,1},{2,1,-1},{2,2,-1},{2,23,2},{2,27,1},{3,1,-1},{3,2,-2},{3,3,1},{3,23,2},{3,27,1},{4,1,-1},{4,2,-2},{4,4,1},{4,23,2},{4,27,1},{5,1,-1},{5,2,-2},{5,5,1},{5,23,2},{5,27,1},{6,1,-1},{6,2,-2},{6,6,1},{6,23,2},{6,27,1},{7,1,-1},{7,2,-2},{7,7,1},{7,23,2},{7,27,1},{8,1,-1},{8,2,-2},{8,8,1},{8,23,2},{8,27,1},{9,1,-1},{9,2,-2},{9,9,1},{9,23,2},{9,27,1},{10,1,-1},{10,2,-2},{10,10,1},{10,23,2},{10,27,1},{11,1,-1},{11,2,-2},{11,11,1},{11,23,2},{11,27,1},{12,1,-1},{12,2,-2},{12,12,1},{12,23,2},{12,27,1},{13,1,-1},{13,2,-2},{13,13,1},{13,23,2},{13,27,1},{14,1,-1},{14,2,-2},{14,14,1},{14,23,2},{14,27,1},{15,1,-1},{15,2,-2},{15,15,1},{15,23,2},{15,27,1},{16,1,-1},{16,2,-2},{16,16,1},{16,23,2},{16,27,1},{17,1,-1},{17,2,-2},{17,17,1},{17,23,2},{17,27,1},{18,1,-1},{18,2,-2},{18,18,1},{18,23,2},{18,27,1},{19,1,-1},{19,2,-2},{19,19,1},{19,23,2},{19,27,1},{20,1,-1},{20,2,-2},{20,20,1},{20,23,2},{20,27,1},{21,1,-1},{21,2,-2},{21,21,1},{21,23,2},{21,27,1},{22,1,-1},{22,2,-2},{22,22,1},{22,23,2},{22,27,1},{23,0,-2},{23,23,3},{24,1,-1},{24,2,-2},{24,23,2},{24,24,1},{24,27,1},{25,1,-1},{25,2,-2},{25,23,2},{25,25,1},{25,27,1},{26,1,-1},{26,2,-2},{26,23,2},{26,26,1},{26,27,1},{27,0,4},{27,1,-4},{27,2,-8},{27,23,4},{27,27,5},{0,24,1},{1,2,-2},{1,24,2},{1,27,1},{2,1,-1},{2,2,-1},{2,24,2},{2,27,1},{3,1,-1},{3,2,-2},{3,3,1},{3,24,2},{3,27,1},{4,1,-1},{4,2,-2},{4,4,1},{4,24,2},{4,27,1},{5,1,-1},{5,2,-2},{5,5,1},{5,24,2},{5,27,1},{6,1,-1},{6,2,-2},{6,6,1},{6,24,2},{6,27,1},{7,1,-1},{7,2,-2},{7,7,1},{7,24,2},{7,27,1},{8,1,-1},{8,2,-2},{8,8,1},{8,24,2},{8,27,1},{9,1,-1},{9,2,-2},{9,9,1},{9,24,2},{9,27,1},{10,1,-1},{10,2,-2},{10,10,1},{10,24,2},{10,27,1},{11,1,-1},{11,2,-2},{11,11,1},{11,24,2},{11,27,1},{12,1,-1},{12,2,-2},{12,12,1},{12,24,2},{12,27,1},{13,1,-1},{13,2,-2},{13,13,1},{13,24,2},{13,27,1},{14,1,-1},{14,2,-2},{14,14,1},{14,24,2},{14,27,1},{15,1,-1},{15,2,-2},{15,15,1},{15,24,2},{15,27,1},{16,1,-1},{16,2,-2},{16,16,1},{16,24,2},{16,27,1},{17,1,-1},{17,2,-2},{17,17,1},{17,24,2},{17,27,1},{18,1,-1},{18,2,-2},{18,18,1},{18,24,2},{18,27,1},{19,1,-1},{19,2,-2},{19,19,1},{19,24,2},{19,27,1},{20,1,-1},{20,2,-2},{20,20,1},{20,24,2},{20,27,1},{21,1,-1},{21,2,-2},{21,21,1},{21,24,2},{21,27,1},{22,1,-1},{22,2,-2},{22,22,1},{22,24,2},{22,27,1},{23,1,-1},{23,2,-2},{23,23,1},{23,24,2},{23,27,1},{24,0,-2},{24,24,3},{25,1,-1},{25,2,-2},{25,24,2},{25,25,1},{25,27,1},{26,1,-1},{26,2,-2},{26,24,2},{26,26,1},{26,27,1},{27,0,4},{27,1,-4},{27,2,-8},{27,24,4},{27,27,5},{0,25,1},{1,2,-2},{1,25,2},{1,27,1},{2,1,-1},{2,2,-1},{2,25,2},{2,27,1},{3,1,-1},{3,2,-2},{3,3,1},{3,25,2},{3,27,1},{4,1,-1},{4,2,-2},{4,4,1},{4,25,2},{4,27,1},{5,1,-1},{5,2,-2},{5,5,1},{5,25,2},{5,27,1},{6,1,-1},{6,2,-2},{6,6,1},{6,25,2},{6,27,1},{7,1,-1},{7,2,-2},{7,7,1},{7,25,2},{7,27,1},{8,1,-1},{8,2,-2},{8,8,1},{8,25,2},{8,27,1},{9,1,-1},{9,2,-2},{9,9,1},{9,25,2},{9,27,1},{10,1,-1},{10,2,-2},{10,10,1},{10,25,2},{10,27,1},{11,1,-1},{11,2,-2},{11,11,1},{11,25,2},{11,27,1},{12,1,-1},{12,2,-2},{12,12,1},{12,25,2},{12,27,1},{13,1,-1},{13,2,-2},{13,13,1},{13,25,2},{13,27,1},{14,1,-1},{14,2,-2},{14,14,1},{14,25,2},{14,27,1},{15,1,-1},{15,2,-2},{15,15,1},{15,25,2},{15,27,1},{16,1,-1},{16,2,-2},{16,16,1},{16,25,2},{16,27,1},{17,1,-1},{17,2,-2},{17,17,1},{17,25,2},{17,27,1},{18,1,-1},{18,2,-2},{18,18,1},{18,25,2},{18,27,1},{19,1,-1},{19,2,-2},{19,19,1},{19,25,2},{19,27,1},{20,1,-1},{20,2,-2},{20,20,1},{20,25,2},{20,27,1},{21,1,-1},{21,2,-2},{21,21,1},{21,25,2},{21,27,1},{22,1,-1},{22,2,-2},{22,22,1},{22,25,2},{22,27,1},{23,1,-1},{23,2,-2},{23,23,1},{23,25,2},{23,27,1},{24,1,-1},{24,2,-2},{24,24,1},{24,25,2},{24,27,1},{25,0,-2},{25,25,3},{26,1,-1},{26,2,-2},{26,25,2},{26,26,1},{26,27,1},{27,0,4},{27,1,-4},{27,2,-8},{27,25,4},{27,27,5},{0,26,1},{1,2,-2},{1,26,2},{1,27,1},{2,1,-1},{2,2,-1},{2,26,2},{2,27,1},{3,1,-1},{3,2,-2},{3,3,1},{3,26,2},{3,27,1},{4,1,-1},{4,2,-2},{4,4,1},{4,26,2},{4,27,1},{5,1,-1},{5,2,-2},{5,5,1},{5,26,2},{5,27,1},{6,1,-1},{6,2,-2},{6,6,1},{6,26,2},{6,27,1},{7,1,-1},{7,2,-2},{7,7,1},{7,26,2},{7,27,1},{8,1,-1},{8,2,-2},{8,8,1},{8,26,2},{8,27,1},{9,1,-1},{9,2,-2},{9,9,1},{9,26,2},{9,27,1},{10,1,-1},{10,2,-2},{10,10,1},{10,26,2},{10,27,1},{11,1,-1},{11,2,-2},{11,11,1},{11,26,2},{11,27,1},{12,1,-1},{12,2,-2},{12,12,1},{12,26,2},{12,27,1},{13,1,-1},{13,2,-2},{13,13,1},{13,26,2},{13,27,1},{14,1,-1},{14,2,-2},{14,14,1},{14,26,2},{14,27,1},{15,1,-1},{15,2,-2},{15,15,1},{15,26,2},{15,27,1},{16,1,-1},{16,2,-2},{16,16,1},{16,26,2},{16,27,1},{17,1,-1},{17,2,-2},{17,17,1},{17,26,2},{17,27,1},{18,1,-1},{18,2,-2},{18,18,1},{18,26,2},{18,27,1},{19,1,-1},{19,2,-2},{19,19,1},{19,26,2},{19,27,1},{20,1,-1},{20,2,-2},{20,20,1},{20,26,2},{20,27,1},{21,1,-1},{21,2,-2},{21,21,1},{21,26,2},{21,27,1},{22,1,-1},{22,2,-2},{22,22,1},{22,26,2},{22,27,1},{23,1,-1},{23,2,-2},{23,23,1},{23,26,2},{23,27,1},{24,1,-1},{24,2,-2},{24,24,1},{24,26,2},{24,27,1},{25,1,-1},{25,2,-2},{25,25,1},{25,26,2},{25,27,1},{26,0,-2},{26,26,3},{27,0,4},{27,1,-4},{27,2,-8},{27,26,4},{27,27,5} };
int offset[COL + 1] = { 0,106,184,314,444,574,704,834,964,1094,1224,1354,1484,1614,1744,1874,2004,2134,2264,2394,2524,2654,2784,2914,3044,3174,3304 };
VTYPE vecQ[DIM] = { 0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,4 };
// --------------------------------------------------------------
// ここ以降は書き換えなくて良い．
array<VTYPE, DIM> dp;
dp[0] = 1;
repi(i, 1, DIM - 1) dp[i] = 0;
auto apply = [&](const array<VTYPE, DIM>& x, int col) {
array<VTYPE, DIM> z;
rep(i, DIM) z[i] = 0;
repi(pt, offset[col], offset[col + 1] - 1) {
auto [i, j, v] = matAs[pt];
z[j] += x[i] * v;
}
return z;
};
repe(c, s) {
dp = apply(dp, c - '0');
}
VTYPE res = 0;
rep(i, DIM) res += vecQ[i] * dp[i];
return res;
}
int main() {
// input_from_file("input.txt");
// output_to_file("output.txt");
//【方法】
// 愚直を書いて集めたデータをもとに遷移行列を復元する．
//【使い方】
// 1. mint naive(文字列) を実装する．
// 2. embed_coefs(文字の種類数); を実行する．
// 3. 出力を solve() 内に貼る．
// 4. auto dp = solve<答えの型>(文字列) で勝手に DP してくれる．
// embed_coefs(26, 2, INF);
string s;
cin >> s;
rep(i, sz(s)) s[i] = s[i] - 'a' + '0';
dump("naive:", naive(s)); dump("======");
cout << solve<mint>(s) << "\n";
}