結果
問題 | No.924 紲星 |
ユーザー | ei1333333 |
提出日時 | 2019-11-08 22:10:26 |
言語 | C++17 (gcc 12.3.0 + boost 1.83.0) |
結果 |
AC
|
実行時間 | 2,419 ms / 4,000 ms |
コード長 | 13,149 bytes |
コンパイル時間 | 2,759 ms |
コンパイル使用メモリ | 227,720 KB |
実行使用メモリ | 225,632 KB |
最終ジャッジ日時 | 2024-09-15 01:32:10 |
合計ジャッジ時間 | 22,242 ms |
ジャッジサーバーID (参考情報) |
judge2 / judge4 |
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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 | 3 ms
5,248 KB |
testcase_01 | AC | 2 ms
5,376 KB |
testcase_02 | AC | 2 ms
5,376 KB |
testcase_03 | AC | 5 ms
5,376 KB |
testcase_04 | AC | 3 ms
5,376 KB |
testcase_05 | AC | 6 ms
5,376 KB |
testcase_06 | AC | 5 ms
5,376 KB |
testcase_07 | AC | 3 ms
5,376 KB |
testcase_08 | AC | 2,419 ms
225,632 KB |
testcase_09 | AC | 2,324 ms
225,624 KB |
testcase_10 | AC | 2,337 ms
225,628 KB |
testcase_11 | AC | 2,255 ms
225,632 KB |
testcase_12 | AC | 2,283 ms
225,628 KB |
testcase_13 | AC | 1,080 ms
84,676 KB |
testcase_14 | AC | 1,079 ms
55,668 KB |
testcase_15 | AC | 1,012 ms
68,584 KB |
testcase_16 | AC | 819 ms
193,776 KB |
testcase_17 | AC | 1,718 ms
87,252 KB |
testcase_18 | AC | 2 ms
5,376 KB |
ソースコード
#include <bits/stdc++.h> using namespace std; using int64 = long long; const int mod = 1e9 + 7; const int64 infll = (1LL << 62) - 1; const int inf = (1 << 30) - 1; struct IoSetup { IoSetup() { cin.tie(nullptr); ios::sync_with_stdio(false); cout << fixed << setprecision(10); cerr << fixed << setprecision(10); } } iosetup; template< typename T1, typename T2 > ostream &operator<<(ostream &os, const pair< T1, T2 > &p) { os << p.first << " " << p.second; return os; } template< typename T1, typename T2 > istream &operator>>(istream &is, pair< T1, T2 > &p) { is >> p.first >> p.second; return is; } template< typename T > ostream &operator<<(ostream &os, const vector< T > &v) { for(int i = 0; i < (int) v.size(); i++) { os << v[i] << (i + 1 != v.size() ? " " : ""); } return os; } template< typename T > istream &operator>>(istream &is, vector< T > &v) { for(T &in : v) is >> in; return is; } template< typename T1, typename T2 > inline bool chmax(T1 &a, T2 b) { return a < b && (a = b, true); } template< typename T1, typename T2 > inline bool chmin(T1 &a, T2 b) { return a > b && (a = b, true); } template< typename T = int64 > vector< T > make_v(size_t a) { return vector< T >(a); } template< typename T, typename... Ts > auto make_v(size_t a, Ts... ts) { return vector< decltype(make_v< T >(ts...)) >(a, make_v< T >(ts...)); } template< typename T, typename V > typename enable_if< is_class< T >::value == 0 >::type fill_v(T &t, const V &v) { t = v; } template< typename T, typename V > typename enable_if< is_class< T >::value != 0 >::type fill_v(T &t, const V &v) { for(auto &e : t) fill_v(e, v); } template< typename F > struct FixPoint : F { FixPoint(F &&f) : F(forward< F >(f)) {} template< typename... Args > decltype(auto) operator()(Args &&... args) const { return F::operator()(*this, forward< Args >(args)...); } }; template< typename F > inline decltype(auto) MFP(F &&f) { return FixPoint< F >{forward< F >(f)}; } // のしさんありがとう!! template< std::size_t BitLength, class Abelian > struct foldable_wavelet_matrix { using mapped_structure = Abelian; using mapped_type = typename mapped_structure::value_type; using key_type = std::bitset< BitLength >; struct bitvector { struct node_type; using container_type = std::vector< node_type >; using size_type = typename container_type::size_type; struct node_type { size_type count; mapped_type sum; constexpr node_type() : count(static_cast<size_type>(0)), sum(mapped_structure::identity()) {} }; container_type vec; constexpr bitvector() : vec() {} constexpr void resize(const size_type size) { vec.resize(size + static_cast<size_type>(1)); } constexpr void set(const size_type index) { vec[index].count = static_cast<size_type>(1); } template< class InputIterator > constexpr void build(const std::vector< InputIterator > &a) { for(size_type i = a.size(); i != static_cast<size_type>(0);) { --i; vec[i].count += vec[i + static_cast<size_type>(1)].count; vec[i].sum = mapped_structure::operation( a[i]->second, vec[i + static_cast<size_type>(1)].sum); } } constexpr size_type count(const size_type index) const { return vec[index].count; } constexpr size_type zeros() const { return vec.front().count; } constexpr mapped_type fold(const size_type first, const size_type last) const { return mapped_structure::operation( vec[first].sum, mapped_structure::inverse(vec[last].sum)); } }; using size_type = typename bitvector::size_type; std::array< bitvector, BitLength > matrix; constexpr foldable_wavelet_matrix() : matrix() {} template< class InputIterator > explicit constexpr foldable_wavelet_matrix(InputIterator first, const InputIterator last) { using iterator = InputIterator; const size_type size = static_cast<size_type>(std::distance(first, last)); std::vector< iterator > cur, pre; cur.reserve(size); for(; first != last; ++first) { cur.push_back(first); } pre = cur; std::size_t i = BitLength; while(i != static_cast<std::size_t>(0)) { --i; bitvector &vec = matrix[i]; vec.resize(size); std::swap(cur, pre); typename std::vector< iterator >::iterator zero_itr = cur.begin(), one_itr = cur.end(); for(size_type k = static_cast<size_type>(0); zero_itr != one_itr; ++k) { if(pre[k]->first.test(i)) { --one_itr; *one_itr = pre[k]; } else { vec.set(k); *zero_itr = pre[k]; ++zero_itr; } } std::reverse(one_itr, cur.end()); vec.build(cur); } } constexpr std::tuple< mapped_type, mapped_type, mapped_type > fold_leg(size_type first, size_type last, const key_type &key) const { mapped_type less = mapped_structure::identity(), greater = mapped_structure::identity(); std::size_t i = BitLength; while(i != static_cast<std::size_t>(0)) { --i; const bitvector &vec = matrix[i]; const size_type f = vec.count(first), l = vec.count(last), z = vec.zeros(); if(key.test(i)) { less = mapped_structure::operation(std::move(less), vec.fold(z - f, z - l)); first += f; last += l; } else { greater = mapped_structure::operation(vec.fold(first + f, last + l), std::move(greater)); first = z - f; last = z - l; } } return std::forward_as_tuple( std::move(less), matrix.front().fold(first, last), std::move(greater)); } constexpr mapped_type fold_range(const size_type first, const size_type last, const key_type &lower, const key_type &upper) const { return mapped_structure::operation( mapped_structure::inverse(std::get< 0 >(fold_leg(first, last, lower))), std::get< 0 >(fold_leg(first, last, upper))); } constexpr std::pair< mapped_type, mapped_type > fold_quantile(size_type first, size_type last, size_type k) const { mapped_type less = mapped_structure::identity(), greater = mapped_structure::identity(); std::size_t i = BitLength; while(i != static_cast<std::size_t>(0)) { --i; const bitvector &vec = matrix[i]; const size_type f = vec.count(first), l = vec.count(last), z = vec.zeros(); if(f - l <= k) { k -= f - l; less = mapped_structure::operation(std::move(less), vec.fold(z - f, z - l)); first += f; last += l; } else { greater = mapped_structure::operation(vec.fold(first + f, last + l), std::move(greater)); first = z - f; last = z - l; } } return std::make_pair( mapped_structure::operation(std::move(less), matrix.front().fold(first, first + k)), mapped_structure::operation(matrix.front().fold(first + k, last), std::move(greater))); } }; template< class T > class plus_abelian { public: using value_type = T; static value_type operation(const value_type &x, const value_type &y) { return x + y; } static value_type identity() { return static_cast<value_type>(0); } static value_type inverse(const value_type &x) { return -x; } static value_type reverse(const value_type &x) { return x; } }; struct SuccinctIndexableDictionary { size_t length; size_t blocks; vector< unsigned > bit, sum; SuccinctIndexableDictionary() { } SuccinctIndexableDictionary(size_t _length) { length = _length; blocks = (length + 31) >> 5; bit.assign(blocks, 0U); sum.assign(blocks, 0U); } void set(int k) { bit[k >> 5] |= 1U << (k & 31); } void build() { sum[0] = 0U; for(int i = 1; i < blocks; i++) { sum[i] = sum[i - 1] + __builtin_popcount(bit[i - 1]); } } bool operator[](int k) const { return (bool((bit[k >> 5] >> (k & 31)) & 1)); } int rank(int k) { return (sum[k >> 5] + __builtin_popcount(bit[k >> 5] & ((1U << (k & 31)) - 1))); } int rank(bool val, int k) { return (val ? rank(k) : k - rank(k)); } int select(bool val, int k) { if(k < 0 || rank(val, length) <= k) return (-1); int low = 0, high = length; while(high - low > 1) { int mid = (low + high) >> 1; if(rank(val, mid) >= k + 1) high = mid; else low = mid; } return (high - 1); } int select(bool val, int i, int l) { return select(val, i + rank(val, l)); } }; template< class T, int MAXLOG > struct WaveletMatrix { size_t length; SuccinctIndexableDictionary matrix[MAXLOG]; int zs[MAXLOG]; int buff1[MAXLOG], buff2[MAXLOG]; int freq_dfs(int d, int l, int r, T val, T a, T b) { if(l == r) return 0; if(d == MAXLOG) return (a <= val && val < b) ? r - l : 0; T nv = 1ULL << (MAXLOG - d - 1) | val, nnv = ((1ULL << (MAXLOG - d - 1)) - 1) | nv; if(nnv < a || b <= val) return 0; if(a <= val && nnv < b) return r - l; int lc = matrix[d].rank(1, l), rc = matrix[d].rank(1, r); return freq_dfs(d + 1, l - lc, r - rc, val, a, b) + freq_dfs(d + 1, lc + zs[d], rc + zs[d], nv, a, b); } WaveletMatrix(vector< T > data) { length = data.size(); vector< T > l(length), r(length); for(int depth = 0; depth < MAXLOG; depth++) { matrix[depth] = SuccinctIndexableDictionary(length + 1); int left = 0, right = 0; for(int i = 0; i < length; i++) { bool k = (data[i] >> (MAXLOG - depth - 1)) & 1; if(k) r[right++] = data[i], matrix[depth].set(i); else l[left++] = data[i]; } zs[depth] = left; matrix[depth].build(); swap(l, data); for(int i = 0; i < right; i++) data[left + i] = r[i]; } } T access(int k) { int ret = 0; bool bit; for(int depth = 0; depth < MAXLOG; depth++) { bit = matrix[depth][k]; ret = (ret << 1) | bit; k = matrix[depth].rank(bit, k) + zs[depth] * bit; } return (ret); } int rank(T val, int k) { int l = 0, r = k; for(int depth = 0; depth < MAXLOG; depth++) { buff1[depth] = l, buff2[depth] = r; bool bit = (val >> (MAXLOG - depth - 1)) & 1; l = matrix[depth].rank(bit, l) + zs[depth] * bit; r = matrix[depth].rank(bit, r) + zs[depth] * bit; } return (r - l); } int select(T val, int kth) { rank(val, length); for(int depth = MAXLOG - 1; depth >= 0; depth--) { bool bit = (val >> (MAXLOG - depth - 1)) & 1; kth = matrix[depth].select(bit, kth, buff1[depth]); if(kth >= buff2[depth] || kth < 0) return (-1); kth -= buff1[depth]; } return (kth); } int select(T val, int k, int l) { return select(val, k + rank(val, l)); } int quantile(int left, int right, int kth) { if(right - left <= kth || kth < 0) return (-1); T ret = 0; for(int depth = 0; depth < MAXLOG; depth++) { int l = matrix[depth].rank(1, left); int r = matrix[depth].rank(1, right); if(r - l > kth) { left = l + zs[depth]; right = r + zs[depth]; ret |= 1ULL << (MAXLOG - depth - 1); } else { kth -= r - l; left -= l; right -= r; } } return ret; } int rangefreq(int left, int right, T lower, T upper) { return freq_dfs(0, left, right, 0, lower, upper); } }; int main() { int N, Q; cin >> N >> Q; vector< int64 > A(N); cin >> A; for(int i = 0; i < N; i++) A[i] += inf; WaveletMatrix< int64, 33 > mat(A); vector< int > L(Q), R(Q); vector< int64 > mid(Q); for(int i = 0; i < Q; i++) { cin >> L[i] >> R[i]; --L[i]; int md = (R[i] - L[i]) / 2; auto ret = mat.quantile(L[i], R[i], md); mid[i] = ret; } vector< pair< bitset< 33 >, int64 > > tap1; vector< pair< bitset< 33 >, int64 > > tap2; for(int i = 0; i < N; i++) { tap1.emplace_back(A[i], A[i]); tap2.emplace_back(A[i], 1); } const foldable_wavelet_matrix< 33, plus_abelian< int64 >> wm1(tap1.cbegin(), tap1.cend()); const foldable_wavelet_matrix< 33, plus_abelian< int64 >> wm2(tap2.cbegin(), tap2.cend()); for(int i = 0; i < Q; i++) { int64 upcnt = wm2.fold_range(L[i], R[i], mid[i], infll); int64 upsum = wm1.fold_range(L[i], R[i], mid[i], infll); upsum -= upcnt * inf; int64 lowcnt = wm2.fold_range(L[i], R[i], 0, mid[i]); int64 lowsum = wm1.fold_range(L[i], R[i], 0, mid[i]); lowsum -= lowcnt * inf; mid[i] -= inf; cout << (upsum - upcnt * mid[i]) + (mid[i] * lowcnt - lowsum) << endl; } }