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#include "string/prefix_substring_LCS.hpp"
#include "ds/wavelet_matrix/wavelet_matrix.hpp" // https://codeforces.com/blog/entry/111625 struct Prefix_Substring_LCS { int N, M; vc<Wavelet_Matrix<int, true>> WM; template <typename STRING> Prefix_Substring_LCS(STRING S, STRING T) { build(S, T); } template <typename STRING> void build(STRING S, STRING T) { N = len(S), M = len(T); vv(int, dph, N + 1, M + 1); vv(int, dpv, N + 1, M + 1); FOR(j, M + 1) dph[0][j] = j; FOR(i, 1, N + 1) FOR(j, 1, M + 1) { bool same = S[i - 1] == T[j - 1]; int a = dph[i - 1][j], b = dpv[i][j - 1]; dph[i][j] = (same ? b : max(a, b)); dpv[i][j] = (same ? a : min(a, b)); } FOR(i, N + 1) { WM.eb(Wavelet_Matrix<int, true>(dph[i])); } } // LCS(S[0:n], T[L:R]) int query(int n, int L, int R) { return WM[n].count(L + 1, R + 1, 0, L + 1); } };
#line 1 "ds/bit_vector.hpp" struct Bit_Vector { int n; bool prepared = 0; vc<pair<u64, u32>> dat; Bit_Vector(int n = 0) : n(n) { dat.assign((n + 127) >> 6, {0, 0}); } void set(int i) { assert(!prepared && (0 <= i && i < n)); dat[i >> 6].fi |= u64(1) << (i & 63); } void reset() { fill(all(dat), pair<u64, u32>{0, 0}); prepared = 0; } void build() { prepared = 1; FOR(i, len(dat) - 1) dat[i + 1].se = dat[i].se + popcnt(dat[i].fi); } // [0, k) 内の 1 の個数 bool operator[](int i) { return dat[i >> 6].fi >> (i & 63) & 1; } int count_prefix(int k, bool f = true) { assert(prepared); auto [a, b] = dat[k >> 6]; int ret = b + popcnt(a & ((u64(1) << (k & 63)) - 1)); return (f ? ret : k - ret); } int count(int L, int R, bool f = true) { return count_prefix(R, f) - count_prefix(L, f); } string to_string() { string ans; FOR(i, n) ans += '0' + (dat[i / 64].fi >> (i % 64) & 1); return ans; } }; #line 1 "ds/index_compression.hpp" template <typename T> struct Index_Compression_DISTINCT_SMALL { static_assert(is_same_v<T, int>); int mi, ma; vc<int> dat; vc<int> build(vc<int> X) { mi = 0, ma = -1; if (!X.empty()) mi = MIN(X), ma = MAX(X); dat.assign(ma - mi + 2, 0); for (auto& x: X) dat[x - mi + 1]++; FOR(i, len(dat) - 1) dat[i + 1] += dat[i]; for (auto& x: X) { x = dat[x - mi]++; } FOR_R(i, 1, len(dat)) dat[i] = dat[i - 1]; dat[0] = 0; return X; } int operator()(ll x) { return dat[clamp<ll>(x - mi, 0, ma - mi + 1)]; } }; template <typename T> struct Index_Compression_SAME_SMALL { static_assert(is_same_v<T, int>); int mi, ma; vc<int> dat; vc<int> build(vc<int> X) { mi = 0, ma = -1; if (!X.empty()) mi = MIN(X), ma = MAX(X); dat.assign(ma - mi + 2, 0); for (auto& x: X) dat[x - mi + 1] = 1; FOR(i, len(dat) - 1) dat[i + 1] += dat[i]; for (auto& x: X) { x = dat[x - mi]; } return X; } int operator()(ll x) { return dat[clamp<ll>(x - mi, 0, ma - mi + 1)]; } }; template <typename T> struct Index_Compression_SAME_LARGE { vc<T> dat; vc<int> build(vc<T> X) { vc<int> I = argsort(X); vc<int> res(len(X)); for (auto& i: I) { if (!dat.empty() && dat.back() == X[i]) { res[i] = len(dat) - 1; } else { res[i] = len(dat); dat.eb(X[i]); } } dat.shrink_to_fit(); return res; } int operator()(T x) { return LB(dat, x); } }; template <typename T> struct Index_Compression_DISTINCT_LARGE { vc<T> dat; vc<int> build(vc<T> X) { vc<int> I = argsort(X); vc<int> res(len(X)); for (auto& i: I) { res[i] = len(dat), dat.eb(X[i]); } dat.shrink_to_fit(); return res; } int operator()(T x) { return LB(dat, x); } }; template <typename T, bool SMALL> using Index_Compression_DISTINCT = typename std::conditional<SMALL, Index_Compression_DISTINCT_SMALL<T>, Index_Compression_DISTINCT_LARGE<T>>::type; template <typename T, bool SMALL> using Index_Compression_SAME = typename std::conditional<SMALL, Index_Compression_SAME_SMALL<T>, Index_Compression_SAME_LARGE<T>>::type; // SAME: [2,3,2] -> [0,1,0] // DISTINCT: [2,2,3] -> [0,2,1] // (x): lower_bound(X,x) をかえす template <typename T, bool SAME, bool SMALL> using Index_Compression = typename std::conditional<SAME, Index_Compression_SAME<T, SMALL>, Index_Compression_DISTINCT<T, SMALL>>::type; #line 2 "alg/monoid/add.hpp" template <typename E> struct Monoid_Add { using X = E; using value_type = X; static constexpr X op(const X &x, const X &y) noexcept { return x + y; } static constexpr X inverse(const X &x) noexcept { return -x; } static constexpr X power(const X &x, ll n) noexcept { return X(n) * x; } static constexpr X unit() { return X(0); } static constexpr bool commute = true; }; #line 4 "ds/wavelet_matrix/wavelet_matrix.hpp" // 静的メソッドinverseの存在をチェックするテンプレート template <typename, typename = std::void_t<>> struct has_inverse : std::false_type {}; template <typename T> struct has_inverse<T, std::void_t<decltype(T::inverse(std::declval<typename T::value_type>()))>> : std::true_type {}; struct Dummy_Data_Structure { using MX = Monoid_Add<bool>; void build(const vc<bool>& A) {} }; template <typename Y, bool SMALL_Y, typename SEGTREE = Dummy_Data_Structure> struct Wavelet_Matrix { using Mono = typename SEGTREE::MX; using T = typename Mono::value_type; static_assert(Mono::commute); int n, log, K; Index_Compression<Y, true, SMALL_Y> IDX; vc<Y> ItoY; vc<int> mid; vc<Bit_Vector> bv; vc<SEGTREE> seg; Wavelet_Matrix() {} Wavelet_Matrix(const vc<Y>& A) { build(A); } Wavelet_Matrix(const vc<Y>& A, vc<T>& SUM_Data) { build(A, SUM_Data); } template <typename F> Wavelet_Matrix(int n, F f) { build(n, f); } template <typename F> void build(int m, F f) { vc<Y> A(m); vc<T> S(m); for (int i = 0; i < m; ++i) { auto p = f(i); A[i] = p.fi, S[i] = p.se; } build(A, S); } void build(const vc<Y>& A) { build(A, vc<T>(len(A), Mono::unit())); } void build(const vc<Y>& A, vc<T> S) { n = len(A); vc<int> B = IDX.build(A); K = 0; for (auto& x: B) chmax(K, x + 1); ItoY.resize(K); FOR(i, n) ItoY[B[i]] = A[i]; log = 0; while ((1 << log) < K) ++log; mid.resize(log), bv.assign(log, Bit_Vector(n)); vc<int> B0(n), B1(n); vc<T> S0(n), S1(n); seg.resize(log + 1); seg[log].build(S); for (int d = log - 1; d >= 0; --d) { int p0 = 0, p1 = 0; for (int i = 0; i < n; ++i) { bool f = (B[i] >> d & 1); if (!f) { B0[p0] = B[i], S0[p0] = S[i], p0++; } if (f) { bv[d].set(i), B1[p1] = B[i], S1[p1] = S[i], p1++; } } swap(B, B0), swap(S, S0); move(B1.begin(), B1.begin() + p1, B.begin() + p0); move(S1.begin(), S1.begin() + p1, S.begin() + p0); mid[d] = p0, bv[d].build(), seg[d].build(S); } } // [L,R) x [0,y) int prefix_count(int L, int R, Y y) { int p = IDX(y); if (L == R || p == 0) return 0; if (p == K) return R - L; int cnt = 0; for (int d = log - 1; d >= 0; --d) { int l0 = bv[d].count_prefix(L, 0), r0 = bv[d].count_prefix(R, 0); int l1 = L + mid[d] - l0, r1 = R + mid[d] - r0; if (p >> d & 1) cnt += r0 - l0, L = l1, R = r1; if (!(p >> d & 1)) L = l0, R = r0; } return cnt; } // [L,R) x [y1,y2) int count(int L, int R, Y y1, Y y2) { return prefix_count(L, R, y2) - prefix_count(L, R, y1); } // [L,R) x [0,y) pair<int, T> prefix_count_and_prod(int L, int R, Y y) { int p = IDX(y); if (p == 0) return {0, Mono::unit()}; if (p == K) return {R - L, seg[log].prod(L, R)}; int cnt = 0; T t = Mono::unit(); for (int d = log - 1; d >= 0; --d) { int l0 = bv[d].count_prefix(L, 0), r0 = bv[d].count_prefix(R, 0); int l1 = L + mid[d] - l0, r1 = R + mid[d] - r0; if (p >> d & 1) { cnt += r0 - l0, t = Mono::op(t, seg[d].prod(l0, r0)), L = l1, R = r1; } if (!(p >> d & 1)) L = l0, R = r0; } return {cnt, t}; } // [L,R) x [y1,y2) pair<int, T> count_and_prod(int L, int R, Y y1, Y y2) { if constexpr (has_inverse<Mono>::value) { auto [c1, t1] = prefix_count_and_prod(L, R, y1); auto [c2, t2] = prefix_count_and_prod(L, R, y2); return {c2 - c1, Mono::op(Mono::inverse(t1), t2)}; } int lo = IDX(y1), hi = IDX(y2), cnt = 0; T t = Mono::unit(); auto dfs = [&](auto& dfs, int d, int L, int R, int a, int b) -> void { assert(b - a == (1 << d)); if (hi <= a || b <= lo) return; if (lo <= a && b <= hi) { cnt += R - L, t = Mono::op(t, seg[d].prod(L, R)); return; } --d; int c = (a + b) / 2; int l0 = bv[d].count_prefix(L, 0), r0 = bv[d].count_prefix(R, 0); int l1 = L + mid[d] - l0, r1 = R + mid[d] - r0; dfs(dfs, d, l0, r0, a, c), dfs(dfs, d, l1, r1, c, b); }; dfs(dfs, log, L, R, 0, 1 << log); return {cnt, t}; } // [L,R) x [y1,y2) T prefix_prod(int L, int R, Y y) { return prefix_count_and_prod(L, R, y).se; } // [L,R) x [y1,y2) T prod(int L, int R, Y y1, Y y2) { return count_and_prod(L, R, y1, y2).se; } T prod_all(int L, int R) { return seg[log].prod(L, R); } Y kth(int L, int R, int k) { assert(0 <= k && k < R - L); int p = 0; for (int d = log - 1; d >= 0; --d) { int l0 = bv[d].count_prefix(L, 0), r0 = bv[d].count_prefix(R, 0); int l1 = L + mid[d] - l0, r1 = R + mid[d] - r0; if (k < r0 - l0) { L = l0, R = r0; } else { k -= r0 - l0, L = l1, R = r1, p |= 1 << d; } } return ItoY[p]; } // y 以上最小 OR infty<Y> Y next(int L, int R, Y y) { int k = IDX(y); int p = K; auto dfs = [&](auto& dfs, int d, int L, int R, int a, int b) -> void { if (p <= a || L == R || b <= k) return; if (d == 0) { chmin(p, a); return; } --d; int c = (a + b) / 2; int l0 = bv[d].count_prefix(L, 0), r0 = bv[d].count_prefix(R, 0); int l1 = L + mid[d] - l0, r1 = R + mid[d] - r0; dfs(dfs, d, l0, r0, a, c), dfs(dfs, d, l1, r1, c, b); }; dfs(dfs, log, L, R, 0, 1 << log); return (p == K ? infty<Y> : ItoY[p]); } // y 以下最大 OR -infty<T> Y prev(int L, int R, Y y) { int k = IDX(y + 1); int p = -1; auto dfs = [&](auto& dfs, int d, int L, int R, int a, int b) -> void { if (b - 1 <= p || L == R || k <= a) return; if (d == 0) { chmax(p, a); return; } --d; int c = (a + b) / 2; int l0 = bv[d].count_prefix(L, 0), r0 = bv[d].count_prefix(R, 0); int l1 = L + mid[d] - l0, r1 = R + mid[d] - r0; dfs(dfs, d, l1, r1, c, b), dfs(dfs, d, l0, r0, a, c); }; dfs(dfs, log, L, R, 0, 1 << log); return (p == -1 ? -infty<Y> : ItoY[p]); } Y median(bool UPPER, int L, int R) { assert(0 <= L && L < R && R <= n); int k = (UPPER ? (R - L) / 2 : (R - L - 1) / 2); return kth(L, R, k); } pair<Y, T> kth_value_and_prod(int L, int R, int k) { assert(0 <= k && k <= R - L); if (k == R - L) return {infty<Y>, seg[log].prod(L, R)}; int p = 0; T t = Mono::unit(); for (int d = log - 1; d >= 0; --d) { int l0 = bv[d].count_prefix(L, 0), r0 = bv[d].count_prefix(R, 0); int l1 = L + mid[d] - l0, r1 = R + mid[d] - r0; if (k < r0 - l0) { L = l0, R = r0; } else { t = Mono::op(t, seg[d].prod(l0, r0)), k -= r0 - l0, L = l1, R = r1, p |= 1 << d; } } t = Mono::op(t, seg[0].prod(L, L + k)); return {ItoY[p], t}; } T prod_index_range(int L, int R, int k1, int k2) { static_assert(has_inverse<Mono>::value); T t1 = kth_value_and_prod(L, R, k1).se; T t2 = kth_value_and_prod(L, R, k2).se; return Mono::op(Mono::inverse(t1), t2); } // [L,R) x [0,y) での check(cnt, prod) が true となる最大の (cnt,prod) template <typename F> pair<int, T> max_right(F check, int L, int R) { int cnt = 0; T t = Mono::unit(); assert(check(0, Mono::unit())); if (check(R - L, seg[log].prod(L, R))) { return {R - L, seg[log].prod(L, R)}; } for (int d = log - 1; d >= 0; --d) { int l0 = bv[d].count_prefix(L, 0), r0 = bv[d].count_prefix(R, 0); int l1 = L + mid[d] - l0, r1 = R + mid[d] - r0; int cnt1 = cnt + r0 - l0; T t1 = Mono::op(t, seg[d].prod(l0, r0)); if (check(cnt1, t1)) { cnt = cnt1, t = t1, L = l1, R = r1; } else { L = l0, R = r0; } } return {cnt, t}; } void set(int i, T t) { assert(0 <= i && i < n); int L = i, R = i + 1; seg[log].set(L, t); for (int d = log - 1; d >= 0; --d) { int l0 = bv[d].count_prefix(L, 0), r0 = bv[d].count_prefix(R, 0); int l1 = L + mid[d] - l0, r1 = R + mid[d] - r0; if (l0 < r0) L = l0, R = r0; if (l0 == r0) L = l1, R = r1; seg[d].set(L, t); } } void multiply(int i, T t) { assert(0 <= i && i < n); int L = i, R = i + 1; seg[log].multiply(L, t); for (int d = log - 1; d >= 0; --d) { int l0 = bv[d].count_prefix(L, 0), r0 = bv[d].count_prefix(R, 0); int l1 = L + mid[d] - l0, r1 = R + mid[d] - r0; if (l0 < r0) L = l0, R = r0; if (l0 == r0) L = l1, R = r1; seg[d].multiply(L, t); } } void add(int i, T t) { multiply(i, t); } }; #line 2 "string/prefix_substring_LCS.hpp" // https://codeforces.com/blog/entry/111625 struct Prefix_Substring_LCS { int N, M; vc<Wavelet_Matrix<int, true>> WM; template <typename STRING> Prefix_Substring_LCS(STRING S, STRING T) { build(S, T); } template <typename STRING> void build(STRING S, STRING T) { N = len(S), M = len(T); vv(int, dph, N + 1, M + 1); vv(int, dpv, N + 1, M + 1); FOR(j, M + 1) dph[0][j] = j; FOR(i, 1, N + 1) FOR(j, 1, M + 1) { bool same = S[i - 1] == T[j - 1]; int a = dph[i - 1][j], b = dpv[i][j - 1]; dph[i][j] = (same ? b : max(a, b)); dpv[i][j] = (same ? a : min(a, b)); } FOR(i, N + 1) { WM.eb(Wavelet_Matrix<int, true>(dph[i])); } } // LCS(S[0:n], T[L:R]) int query(int n, int L, int R) { return WM[n].count(L + 1, R + 1, 0, L + 1); } };