#926500 (C++17) No.924 紲星

提出ソース
結果

問題	No.924 紲星
ユーザー	hashiryo
提出日時	2023-11-05 20:41:22
言語	C++17 (gcc 12.3.0 + boost 1.83.0)
結果	TLE
実行時間	-
コード長	20,129 bytes
コンパイル時間	3,225 ms
コンパイル使用メモリ	242,376 KB
実行使用メモリ	10,880 KB
最終ジャッジ日時	2024-09-25 22:41:25
合計ジャッジ時間	10,408 ms
ジャッジサーバーID （参考情報）	judge5 / judge3
このコードへのチャレンジ
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テストケース

テストケース表示
入力	結果	実行時間実行使用メモリ
testcase_00	AC	1 ms 6,816 KB
testcase_01	AC	1 ms 5,376 KB
testcase_02	AC	2 ms 5,376 KB
testcase_03	AC	3 ms 5,376 KB
testcase_04	AC	2 ms 5,376 KB
testcase_05	AC	4 ms 5,376 KB
testcase_06	AC	3 ms 5,376 KB
testcase_07	AC	3 ms 5,376 KB
testcase_08	TLE	-
testcase_09	--	-
testcase_10	--	-
testcase_11	--	-
testcase_12	--	-
testcase_13	--	-
testcase_14	--	-
testcase_15	--	-
testcase_16	--	-
testcase_17	--	-
testcase_18	--	-
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ソースコード

raw source code
// #define _GLIBCXX_DEBUG
#include <bits/stdc++.h>
// clang-format off
std::ostream&operator<<(std::ostream&os,std::int8_t x){return os<<(int)x;}
std::ostream&operator<<(std::ostream&os,std::uint8_t x){return os<<(int)x;}
std::ostream&operator<<(std::ostream&os,const __int128_t &v){if(!v)os<<"0";__int128_t tmp=v<0?(os<<"-",-v):v;std::string s;while(tmp)s+='0'+(tmp%10),tmp/=10;return std::reverse(s.begin(),s.end()),os<<s;}
std::ostream&operator<<(std::ostream&os,const __uint128_t &v){if(!v)os<<"0";__uint128_t tmp=v;std::string s;while(tmp)s+='0'+(tmp%10),tmp/=10;return std::reverse(s.begin(),s.end()),os<<s;}
#define checkpoint() (void(0))
#define debug(...) (void(0))
#define debugArray(x,n) (void(0))
#define debugMatrix(x,h,w) (void(0))
// clang-format on
#include <type_traits>
#define MEMBER_MACRO(member, Dummy, name, type1, type2, last) \
 template <class tClass> struct name##member { \
  template <class U, Dummy> static type1 check(U *); \
  static type2 check(...); \
  static tClass *mClass; \
  last; \
 }
#define HAS_CHECK(member, Dummy) MEMBER_MACRO(member, Dummy, has_, std::true_type, std::false_type, static const bool value= decltype(check(mClass))::value)
#define HAS_MEMBER(member) HAS_CHECK(member, int dummy= (&U::member, 0))
#define HAS_TYPE(member) HAS_CHECK(member, class dummy= typename U::member)
#define HOGE_OR(member, name, type2) \
 MEMBER_MACRO(member, class dummy= typename U::member, name, typename U::member, type2, using type= decltype(check(mClass))); \
 template <class tClass> using name##member##_t= typename name##member<tClass>::type
#define NULLPTR_OR(member) HOGE_OR(member, nullptr_or_, std::nullptr_t)
#define MYSELF_OR(member) HOGE_OR(member, myself_or_, tClass)
template <class T> static constexpr bool tuple_like_v= false;
template <class... Args> static constexpr bool tuple_like_v<std::tuple<Args...>> = true;
template <class T, class U> static constexpr bool tuple_like_v<std::pair<T, U>> = true;
template <class T, size_t K> static constexpr bool tuple_like_v<std::array<T, K>> = true;
template <class T> auto to_tuple(const T &t) {
 if constexpr (tuple_like_v<T>) return std::apply([](auto &&...x) { return std::make_tuple(x...); }, t);
}
template <class T> auto forward_tuple(const T &t) {
 if constexpr (tuple_like_v<T>) return std::apply([](auto &&...x) { return std::forward_as_tuple(x...); }, t);
}
template <class T> static constexpr bool array_like_v= false;
template <class T, size_t K> static constexpr bool array_like_v<std::array<T, K>> = true;
template <class T, class U> static constexpr bool array_like_v<std::pair<T, U>> = std::is_convertible_v<T, U>;
template <class T> static constexpr bool array_like_v<std::tuple<T>> = true;
template <class T, class U, class... Args> static constexpr bool array_like_v<std::tuple<T, U, Args...>> = array_like_v<std::tuple<T, Args...>> && std::is_convertible_v<U, T>;
template <class T> auto to_array(const T &t) {
 if constexpr (array_like_v<T>) return std::apply([](auto &&...x) { return std::array{x...}; }, t);
}
template <class T> using to_tuple_t= decltype(to_tuple(T()));
template <class T> using to_array_t= decltype(to_array(T()));
// clang-format off
template<class T>struct make_long{using type= T;};
template<>struct make_long<int8_t>{using type= int16_t;};
template<>struct make_long<uint8_t>{using type= uint16_t;};
template<>struct make_long<int16_t>{using type= int32_t;};
template<>struct make_long<uint16_t>{using type= uint32_t;};
template<>struct make_long<int32_t>{using type= int64_t;};
template<>struct make_long<uint32_t>{using type= uint64_t;};
template<>struct make_long<int64_t>{using type= __int128_t;};
template<>struct make_long<uint64_t>{using type= __uint128_t;};
template<>struct make_long<float>{using type= double;};
template<>struct make_long<double>{using type= long double;};
template<class T> using make_long_t= typename make_long<T>::type;
// clang-format on
namespace kdtree_internal {
template <class pos_t, size_t K, class M, class A, class B> class KDTreeImpl {};
template <class pos_t, size_t K, class M, class... PK, class... PK2> class KDTreeImpl<pos_t, K, M, std::tuple<PK...>, std::tuple<PK2...>> {
 HAS_MEMBER(op);
 HAS_MEMBER(ti);
 HAS_MEMBER(mp);
 HAS_MEMBER(cp);
 HAS_TYPE(T);
 HAS_TYPE(E);
 MYSELF_OR(T);
 NULLPTR_OR(E);
 using Sec= std::array<pos_t, 2>;
 using Pos= std::array<pos_t, K>;
 using Range= std::array<Sec, K>;
 using long_pos_t= make_long_t<pos_t>;
 template <class L> static constexpr bool monoid_v= std::conjunction_v<has_T<L>, has_op<L>, has_ti<L>>;
 template <class L> static constexpr bool dual_v= std::conjunction_v<has_T<L>, has_E<L>, has_mp<L>, has_cp<L>>;
 struct Node_BB {
  int ch[2]= {-1, -1};
  Pos pos;
  pos_t range[K][2];
 };
 template <class U> struct Node_B: Node_BB {
  U val;
 };
 template <class D, bool sg, bool du> struct Node_D: Node_B<M> {};
 template <bool sg, bool du> struct Node_D<void, sg, du>: Node_BB {};
 template <class D> struct Node_D<D, 1, 0>: Node_B<typename M::T> {
  typename M::T sum;
 };
 template <class D> struct Node_D<D, 0, 1>: Node_B<typename M::T> {
  typename M::E laz;
  bool laz_flg= false;
 };
 template <class D> struct Node_D<D, 1, 1>: Node_B<typename M::T> {
  typename M::T sum;
  typename M::E laz;
  bool laz_flg= false;
 };
 using Node= Node_D<M, monoid_v<M>, dual_v<M>>;
 using Iter= typename std::vector<int>::iterator;
 using T= std::conditional_t<std::is_void_v<M>, std::nullptr_t, myself_or_T_t<M>>;
 using E= nullptr_or_E_t<M>;
 template <class P> using canbe_Pos= std::is_convertible<to_tuple_t<P>, std::tuple<PK...>>;
 template <class P> using canbe_PosV= std::is_convertible<to_tuple_t<P>, std::tuple<PK..., T>>;
 template <class P, class U> static constexpr bool canbe_Pos_and_T_v= std::conjunction_v<canbe_Pos<P>, std::is_convertible<U, T>>;
 std::vector<Node> ns;
 static inline T def_val() {
  if constexpr (monoid_v<M>) return M::ti();
  else return T();
 }
 template <bool z, size_t k, class P> static inline auto get_(const P &p) {
  if constexpr (z) return std::get<k>(p);
  else return std::get<k>(p.first);
 }
 template <class P, size_t... I> Range to_range(const P &p, std::index_sequence<I...>) { return {(assert(std::get<I + I>(p) <= std::get<I + I + 1>(p)), Sec{std::get<I + I>(p), std::get<I + I + 1>(p)})...}; }
 inline void update(int t) {
  ns[t].sum= ns[t].val;
  if (ns[t].ch[0] != -1) ns[t].sum= M::op(ns[t].sum, ns[ns[t].ch[0]].sum);
  if (ns[t].ch[1] != -1) ns[t].sum= M::op(ns[t].sum, ns[ns[t].ch[1]].sum);
 }
 inline void propagate(int t, const E &x) {
  if (t == -1) return;
  if (ns[t].laz_flg) M::cp(ns[t].laz, x);
  else ns[t].laz= x, ns[t].laz_flg= true;
  M::mp(ns[t].val, x);
  if constexpr (monoid_v<M>) M::mp(ns[t].sum, x);
 }
 inline void push(int t) {
  if (ns[t].laz_flg) ns[t].laz_flg= false, propagate(ns[t].ch[0], ns[t].laz), propagate(ns[t].ch[1], ns[t].laz);
 }
 template <bool z, class P, size_t k> inline void set_range(int t, int m, Iter bg, Iter ed, const P *p) {
  auto [mn, mx]= std::minmax_element(bg, ed, [&](int a, int b) { return get_<z, k>(p[a]) < get_<z, k>(p[b]); });
  ns[t].range[k][0]= get_<z, k>(p[*mn]), ns[t].range[k][1]= get_<z, k>(p[*mx]), ns[t].pos[k]= get_<z, k>(p[m]);
 }
 template <bool z, class P, size_t... I> inline void set_range_lp(int t, int m, Iter bg, Iter ed, const P *p, std::index_sequence<I...>) { (void)(int[]){(set_range<z, P, I>(t, m, bg, ed, p), 0)...}; }
 template <bool z, uint8_t div, class P> inline int build(int &ts, Iter bg, Iter ed, const P *p, const T &v= def_val()) {
  if (bg == ed) return -1;
  auto md= bg + (ed - bg) / 2;
  int t= ts++;
  std::nth_element(bg, md, ed, [&](int a, int b) { return get_<z, div>(p[a]) < get_<z, div>(p[b]); }), set_range_lp<z>(t, *md, bg, ed, p, std::make_index_sequence<K>());
  if constexpr (z) {
   if constexpr (!std::is_void_v<M>) {
    if constexpr (std::tuple_size_v<P> == K + 1) ns[t].val= std::get<K>(p[*md]);
    else ns[t].val= v;
   }
  } else ns[t].val= p[*md].second;
  static constexpr uint8_t nx= div + 1 == K ? 0 : div + 1;
  ns[t].ch[0]= build<z, nx>(ts, bg, md, p, v), ns[t].ch[1]= build<z, nx>(ts, md + 1, ed, p, v);
  if constexpr (monoid_v<M>) update(t);
  return t;
 }
 template <bool z, uint8_t div, class P> inline int build(Iter bg, Iter ed, const P *p, int &ts) {
  if (bg == ed) return -1;
  auto md= bg + (ed - bg) / 2;
  int t= ts++;
  std::nth_element(bg, md, ed, [&](int a, int b) { return get_<z, div>(p[a]) < get_<z, div>(p[b]); }), set_range_lp<z>(t, bg, ed, p, std::make_index_sequence<K>());
  if constexpr (z) {
   if constexpr (!std::is_void_v<M>) {
    if constexpr (std::tuple_size_v<P> == K + 1) ns[t].val= std::get<K>(p[t]);
    else ns[t].val= def_val();
   }
  } else ns[t].val= p[t].second;
  static constexpr uint8_t nx= div + 1 == K ? 0 : div + 1;
  ns[t].ch[0]= build<z, nx>(bg, md, p, ts), ns[t].ch[1]= build<z, nx>(md + 1, ed, p, ts);
  if constexpr (monoid_v<M>) update(t);
  return t;
 }
 static inline auto in_cuboid(const Range &r) {
  return [r](const Pos &pos) {
   for (uint8_t k= K; k--;)
    if (r[k][1] < pos[k] || pos[k] < r[k][0]) return false;
   return true;
  };
 }
 static inline auto out_cuboid(const Range &r) {
  return [r](const pos_t rr[K][2]) {
   for (uint8_t k= K; k--;)
    if (rr[k][1] < r[k][0] || r[k][1] < rr[k][0]) return true;
   return false;
  };
 }
 static inline auto inall_cuboid(const Range &r) {
  return [r](const pos_t rr[K][2]) {
   for (uint8_t k= K; k--;)
    if (rr[k][0] < r[k][0] || r[k][1] < rr[k][1]) return false;
   return true;
  };
 }
 static inline long_pos_t min_dist2(const pos_t r[K][2], const Pos &pos) {
  long_pos_t d2= 0, dx;
  for (uint8_t k= K; k--;) dx= std::clamp(pos[k], r[k][0], r[k][1]) - pos[k], d2+= dx * dx;
  return d2;
 }
 static inline auto in_ball(const Pos &c, long_pos_t r2) {
  return [c, r2](const Pos &pos) {
   long_pos_t d2= 0, dx;
   for (uint8_t k= K; k--;) dx= pos[k] - c[k], d2+= dx * dx;
   return d2 <= r2;
  };
 }
 static inline auto inall_ball(const Pos &c, long_pos_t r2) {
  return [c, r2](const pos_t rr[K][2]) {
   long_pos_t d2= 0, dx0, dx1;
   for (uint8_t k= K; k--;) dx0= rr[k][0] - c[k], dx1= rr[k][1] - c[k], d2+= std::max(dx0 * dx0, dx1 * dx1);
   return d2 <= r2;
  };
 }
 static inline auto out_ball(const Pos &c, long_pos_t r2) {
  return [c, r2](const pos_t r[K][2]) { return min_dist2(r, c) > r2; };
 }
 inline void nns(int t, const Pos &pos, std::pair<int, long_pos_t> &ret) const {
  if (t == -1) return;
  long_pos_t d2= min_dist2(ns[t].range, pos);
  if (ret.first != -1 && d2 >= ret.second) return;
  long_pos_t dx= d2= 0;
  for (uint8_t k= K; k--;) dx= pos[k] - ns[t].pos[k], d2+= dx * dx;
  if (ret.first == -1 || d2 < ret.second) ret= {t, d2};
  bool f= 0;
  if (auto [l, r]= ns[t].ch; l != -1 && r != -1) f= min_dist2(ns[l].range, pos) > min_dist2(ns[r].range, pos);
  nns(ns[t].ch[f], pos, ret), nns(ns[t].ch[!f], pos, ret);
 }
 template <class In, class Out> inline void col(int t, const In &in, const Out &out, std::vector<T> &ret) const {
  if (t == -1 || out(ns[t].range)) return;
  if (in(ns[t].pos)) ret.push_back(ns[t].val);
  col(ns[t].ch[0], in, out, ret), col(ns[t].ch[1], in, out, ret);
 }
 template <class In, class InAll, class Out> inline T fld(int t, const In &in, const InAll &inall, const Out &out) {
  if (t == -1 || out(ns[t].range)) return def_val();
  if (inall(ns[t].range)) return ns[t].sum;
  if constexpr (dual_v<M>) push(t);
  T ret= M::op(fld(ns[t].ch[0], in, inall, out), fld(ns[t].ch[1], in, inall, out));
  return in(ns[t].pos) ? M::op(ret, ns[t].val) : ret;
 }
 template <class In, class InAll, class Out> inline void app(int t, const In &in, const InAll &inall, const Out &out, const E &x) {
  if (t == -1 || out(ns[t].range)) return;
  if (inall(ns[t].range)) return propagate(t, x);
  if (push(t); in(ns[t].pos)) M::mp(ns[t].val, x);
  app(ns[t].ch[0], in, inall, out, x), app(ns[t].ch[1], in, inall, out, x);
  if constexpr (monoid_v<M>) update(t);
 }
 template <bool z> inline bool set(int t, const Pos &pos, const T &x) {
  if (t == -1) return false;
  bool isok= true;
  for (uint8_t k= K; k--; isok&= pos[k] == ns[t].pos[k])
   if (ns[t].range[k][1] < pos[k] || pos[k] < ns[t].range[k][0]) return false;
  if constexpr (dual_v<M>) push(t);
  if (isok) {
   if constexpr (z) ns[t].val= x;
   else ns[t].val= M::op(ns[t].val, x);
  } else if (!(isok= set<z>(ns[t].ch[0], pos, x))) isok= set<z>(ns[t].ch[1], pos, x);
  if constexpr (monoid_v<M>)
   if (isok) update(t);
  return isok;
 }
 inline std::pair<T, bool> get(int t, const Pos &pos) {
  if (t == -1) return {T(), false};
  bool myself= true;
  for (uint8_t k= K; k--; myself&= pos[k] == ns[t].pos[k])
   if (ns[t].range[k][1] < pos[k] || pos[k] < ns[t].range[k][0]) return {T(), false};
  if (myself) return {ns[t].val, true};
  if constexpr (dual_v<M>) push(t);
  auto ret= get(ns[t].ch[0], pos);
  return !ret.second ? get(ns[t].ch[1], pos) : ret;
 }
public:
 template <class P, typename= std::enable_if_t<std::disjunction_v<canbe_Pos<P>, canbe_PosV<P>>>> KDTreeImpl(const P *p, size_t n): ns(n) {
  std::vector<int> ids(n);
  int ts= 0;
  std::iota(ids.begin(), ids.end(), 0), build<1, 0>(ts, ids.begin(), ids.end(), p);
 }
 template <class P, typename= std::enable_if_t<std::disjunction_v<canbe_Pos<P>, canbe_PosV<P>>>> KDTreeImpl(const std::vector<P> &p): KDTreeImpl(p.data(), p.size()) {}
 template <class P, typename= std::enable_if_t<canbe_Pos<P>::value>> KDTreeImpl(const std::set<P> &p): KDTreeImpl(std::vector(p.begin(), p.end())) {}
 template <class P, class U, typename= std::enable_if_t<canbe_Pos_and_T_v<P, U>>> KDTreeImpl(const P *p, size_t n, U v): ns(n) {
  std::vector<int> ids(n);
  int ts= 0;
  std::iota(ids.begin(), ids.end(), 0), build<1, 0>(ts, ids.begin(), ids.end(), p, v);
 }
 template <class P, class U, typename= std::enable_if_t<canbe_Pos_and_T_v<P, U>>> KDTreeImpl(const std::vector<P> &p, U v): KDTreeImpl(p.data(), p.size(), v) {}
 template <class P, class U, typename= std::enable_if_t<canbe_Pos_and_T_v<P, U>>> KDTreeImpl(const std::set<P> &p, U v): KDTreeImpl(std::vector(p.begin(), p.end()), v) {}
 template <class P, class U, typename= std::enable_if_t<canbe_Pos_and_T_v<P, U>>> KDTreeImpl(const std::pair<P, U> *p, size_t n): ns(n) {
  std::vector<int> ids(n);
  int ts= 0;
  std::iota(ids.begin(), ids.end(), 0), build<0, 0>(ts, ids.begin(), ids.end(), p);
 }
 template <class P, class U, typename= std::enable_if_t<canbe_Pos_and_T_v<P, U>>> KDTreeImpl(const std::vector<std::pair<P, U>> &p): KDTreeImpl(p.data(), p.size()) {}
 template <class P, class U, typename= std::enable_if_t<canbe_Pos_and_T_v<P, U>>> KDTreeImpl(const std::map<P, U> &p): KDTreeImpl(std::vector(p.begin(), p.end())) {}
 std::vector<T> enum_cuboid(PK2... xs) {
  static_assert(!std::is_void_v<M>, "\"enum_cuboid\" is not available");
  std::vector<T> ret;
  auto r= to_range(std::forward_as_tuple(xs...), std::make_index_sequence<K>());
  return col(-ns.empty(), in_cuboid(r), out_cuboid(r), ret), ret;
 }
 std::vector<T> enum_ball(PK... xs, pos_t r) const {
  static_assert(!std::is_void_v<M>, "\"enum_ball\" is not available");
  std::vector<T> ret;
  long_pos_t r2= long_pos_t(r) * r;
  return col(-ns.empty(), in_ball({xs...}, r2), out_ball({xs...}, r2), ret), ret;
 }
 T fold_cuboid(PK2... xs) {
  static_assert(monoid_v<M>, "\"fold_cuboid\" is not available");
  auto r= to_range(std::forward_as_tuple(xs...), std::make_index_sequence<K>());
  return fld(-ns.empty(), in_cuboid(r), inall_cuboid(r), out_cuboid(r));
 }
 T fold_ball(PK... xs, pos_t r) {
  static_assert(monoid_v<M>, "\"fold_ball\" is not available");
  long_pos_t r2= long_pos_t(r) * r;
  return fld(-ns.empty(), in_ball({xs...}, r2), inall_ball({xs...}, r2), out_ball({xs...}, r2));
 }
 void apply_cuboid(PK2... xs, E a) {
  static_assert(dual_v<M>, "\"apply_cuboid\" is not available");
  auto r= to_range(std::forward_as_tuple(xs...), std::make_index_sequence<K>());
  app(-ns.empty(), in_cuboid(r), inall_cuboid(r), out_cuboid(r), a);
 }
 void apply_ball(PK... xs, pos_t r, E a) {
  static_assert(dual_v<M>, "\"apply_ball\" is not available");
  long_pos_t r2= long_pos_t(r) * r;
  app(-ns.empty(), in_ball({xs...}, r2), inall_ball({xs...}, r2), out({xs...}, r2), a);
 }
 void set(PK... xs, T v) { assert(ns.size()), assert(set<1>(0, {xs...}, v)); }
 void mul(PK... xs, T v) {
  static_assert(monoid_v<M>, "\"mul\" is not available");
  assert(ns.size()), assert(set<0>(0, {xs...}, v));
 }
 T get(PK... xs) {
  assert(ns.size());
  auto [ret, flg]= get(0, {xs...});
  return assert(flg), ret;
 }
 Pos nearest_neighbor(PK... xs) const {
  assert(ns.size());
  std::pair<int, long_pos_t> ret= {-1, -1};
  return nns(0, {xs...}, ret), ns[ret.first].pos;
 }
};
template <class pos_t, size_t K, class M= void> using KDTree= KDTreeImpl<pos_t, K, M, to_tuple_t<std::array<pos_t, K>>, to_tuple_t<std::array<pos_t, K + K>>>;
}
using kdtree_internal::KDTree;
template <class T> class WaveletMatrix {
 struct SuccinctIndexableDictionary {
  std::size_t len, blocks, zeros;
  std::vector<unsigned> bit, sum;
  SuccinctIndexableDictionary()= default;
  SuccinctIndexableDictionary(std::size_t len): len(len), blocks((len >> 5) + 1), bit(blocks, 0), sum(blocks, 0) {}
  void set(int k) { bit[k >> 5]|= 1U << (k & 31); }
  void build() {
   for (std::size_t i= 1; i < blocks; i++) sum[i]= sum[i - 1] + __builtin_popcount(bit[i - 1]);
   zeros= rank0(len);
  }
  bool operator[](int k) const { return (bit[k >> 5] >> (k & 31)) & 1; }
  std::size_t rank(std::size_t k) const { return (sum[k >> 5] + __builtin_popcount(bit[k >> 5] & ((1U << (k & 31)) - 1))); }
  std::size_t rank0(std::size_t k) const { return k - rank(k); }
 };
 std::size_t len, lg;
 std::vector<SuccinctIndexableDictionary> mat;
 std::vector<T> vec;
public:
 WaveletMatrix(const std::vector<T> &v): len(v.size()), lg(32 - __builtin_clz(std::max<int>(len, 1))), mat(lg, len), vec(v) {
  std::sort(vec.begin(), vec.end());
  vec.erase(std::unique(vec.begin(), vec.end()), vec.end());
  std::vector<unsigned> cur(len), nex(len);
  for (int i= len; i--;) cur[i]= std::lower_bound(vec.begin(), vec.end(), v[i]) - vec.begin();
  for (auto h= lg; h--; cur.swap(nex)) {
   for (std::size_t i= 0; i < len; i++)
    if ((cur[i] >> h) & 1) mat[h].set(i);
   mat[h].build();
   std::array it{nex.begin(), nex.begin() + mat[h].zeros};
   for (std::size_t i= 0; i < len; i++) *it[mat[h][i]]++= cur[i];
  }
 }
 // k-th(0-indexed) smallest number in v[l,r)
 T kth_smallest(int l, int r, int k) const {
  assert(k < r - l);
  std::size_t ret= 0;
  for (auto h= lg; h--;)
   if (auto l0= mat[h].rank0(l), r0= mat[h].rank0(r); k >= r0 - l0) {
    k-= r0 - l0, ret|= 1 << h;
    l+= mat[h].zeros - l0, r+= mat[h].zeros - r0;
   } else l= l0, r= r0;
  return vec[ret];
 }
 // k-th(0-indexed) largest number in v[l,r)
 T kth_largest(int l, int r, int k) const { return kth_smallest(l, r, r - l - k - 1); }
 // count i s.t. (l <= i < r) && (v[i] < ub)
 std::size_t count(int l, int r, T ub) const {
  std::size_t x= std::lower_bound(vec.begin(), vec.end(), ub) - vec.begin();
  if (x >= 1u << lg) return r - l;
  if (x == 0) return 0;
  std::size_t ret= 0;
  for (auto h= lg; h--;)
   if (auto l0= mat[h].rank0(l), r0= mat[h].rank0(r); (x >> h) & 1) ret+= r0 - l0, l+= mat[h].zeros - l0, r+= mat[h].zeros - r0;
   else l= l0, r= r0;
  return ret;
 }
 // count i s.t. (l <= i < r) && (lb <= v[i] < ub)
 std::size_t count(int l, int r, T lb, T ub) const { return count(l, r, ub) - count(l, r, lb); }
};
using namespace std;
struct RSQ {
 using T= long long;
 static T ti() { return 0; }
 static T op(T a, T b) { return a + b; }
};
signed main() {
 cin.tie(0);
 ios::sync_with_stdio(0);
 int N, Q;
 cin >> N >> Q;
 vector<int> A(N);
 vector<array<int, 3>> xyv(N);
 for (int i= 0; i < N; ++i) cin >> A[i], xyv[i]= {i, A[i], A[i]};
 WaveletMatrix wm(A);
 KDTree<int, 2, RSQ> kdt(xyv);
 for (int i= 0; i < Q; ++i) {
  int L, R;
  cin >> L >> R, --L;
  int k= (R - L - 1) / 2;
  long long u= wm.kth_smallest(L, R, k);
  long long ans= u * k - kdt.fold_cuboid(L, R - 1, -1e9, u - 1);
  ans+= kdt.fold_cuboid(L, R - 1, u, 1e9) - u * (R - L - k);
  cout << ans << '\n';
 }
 return 0;
}
yukicoder

結果

テストケース

ソースコード
