This documentation is automatically generated by online-judge-tools/verification-helper
// competitive-verifier: PROBLEM https://judge.yosupo.jp/problem/range_kth_smallest
#include "../../template/template.hpp"
#include "../../structure/wavelet/wavelet-matrix.hpp"
int main() {
int N, Q;
cin >> N >> Q;
vector< int > A(N);
cin >> A;
CompressedWaveletMatrix< int, 18 > mat(A);
for(int i = 0; i < Q; i++) {
int a, b, c;
cin >> a >> b >> c;
cout << mat.kth_smallest(a, b, c) << "\n";
}
}
#line 1 "test/verify/yosupo-range-kth-smallest.test.cpp"
// competitive-verifier: PROBLEM https://judge.yosupo.jp/problem/range_kth_smallest
#line 1 "template/template.hpp"
#include<bits/stdc++.h>
using namespace std;
using int64 = long long;
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 {
explicit 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)};
}
#line 4 "test/verify/yosupo-range-kth-smallest.test.cpp"
#line 1 "structure/wavelet/succinct-indexable-dictionary.hpp"
/**
* @brief Succinct Indexable Dictionary(完備辞書)
*/
struct SuccinctIndexableDictionary {
size_t length;
size_t blocks;
vector< unsigned > bit, sum;
SuccinctIndexableDictionary() = default;
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) {
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));
}
};
#line 2 "structure/wavelet/wavelet-matrix.hpp"
/*
* @brief Wavelet Matrix(ウェーブレット行列)
*
*/
template< typename T, int MAXLOG >
struct WaveletMatrix {
size_t length;
SuccinctIndexableDictionary matrix[MAXLOG];
int mid[MAXLOG];
WaveletMatrix() = default;
WaveletMatrix(vector< T > v) : length(v.size()) {
vector< T > l(length), r(length);
for(int level = MAXLOG - 1; level >= 0; level--) {
matrix[level] = SuccinctIndexableDictionary(length + 1);
int left = 0, right = 0;
for(int i = 0; i < length; i++) {
if(((v[i] >> level) & 1)) {
matrix[level].set(i);
r[right++] = v[i];
} else {
l[left++] = v[i];
}
}
mid[level] = left;
matrix[level].build();
v.swap(l);
for(int i = 0; i < right; i++) {
v[left + i] = r[i];
}
}
}
pair< int, int > succ(bool f, int l, int r, int level) {
return {matrix[level].rank(f, l) + mid[level] * f, matrix[level].rank(f, r) + mid[level] * f};
}
// v[k]
T access(int k) {
T ret = 0;
for(int level = MAXLOG - 1; level >= 0; level--) {
bool f = matrix[level][k];
if(f) ret |= T(1) << level;
k = matrix[level].rank(f, k) + mid[level] * f;
}
return ret;
}
T operator[](const int &k) {
return access(k);
}
// count i s.t. (0 <= i < r) && v[i] == x
int rank(const T &x, int r) {
int l = 0;
for(int level = MAXLOG - 1; level >= 0; level--) {
tie(l, r) = succ((x >> level) & 1, l, r, level);
}
return r - l;
}
// k-th(0-indexed) smallest number in v[l,r)
T kth_smallest(int l, int r, int k) {
assert(0 <= k && k < r - l);
T ret = 0;
for(int level = MAXLOG - 1; level >= 0; level--) {
int cnt = matrix[level].rank(false, r) - matrix[level].rank(false, l);
bool f = cnt <= k;
if(f) {
ret |= T(1) << level;
k -= cnt;
}
tie(l, r) = succ(f, l, r, level);
}
return ret;
}
// k-th(0-indexed) largest number in v[l,r)
T kth_largest(int l, int r, int k) {
return kth_smallest(l, r, r - l - k - 1);
}
// count i s.t. (l <= i < r) && (v[i] < upper)
int range_freq(int l, int r, T upper) {
int ret = 0;
for(int level = MAXLOG - 1; level >= 0; level--) {
bool f = ((upper >> level) & 1);
if(f) ret += matrix[level].rank(false, r) - matrix[level].rank(false, l);
tie(l, r) = succ(f, l, r, level);
}
return ret;
}
// count i s.t. (l <= i < r) && (lower <= v[i] < upper)
int range_freq(int l, int r, T lower, T upper) {
return range_freq(l, r, upper) - range_freq(l, r, lower);
}
// max v[i] s.t. (l <= i < r) && (v[i] < upper)
T prev_value(int l, int r, T upper) {
int cnt = range_freq(l, r, upper);
return cnt == 0 ? T(-1) : kth_smallest(l, r, cnt - 1);
}
// min v[i] s.t. (l <= i < r) && (lower <= v[i])
T next_value(int l, int r, T lower) {
int cnt = range_freq(l, r, lower);
return cnt == r - l ? T(-1) : kth_smallest(l, r, cnt);
}
};
template< typename T, int MAXLOG >
struct CompressedWaveletMatrix {
WaveletMatrix< int, MAXLOG > mat;
vector< T > ys;
CompressedWaveletMatrix(const vector< T > &v) : ys(v) {
sort(begin(ys), end(ys));
ys.erase(unique(begin(ys), end(ys)), end(ys));
vector< int > t(v.size());
for(int i = 0; i < v.size(); i++) t[i] = get(v[i]);
mat = WaveletMatrix< int, MAXLOG >(t);
}
inline int get(const T& x) {
return lower_bound(begin(ys), end(ys), x) - begin(ys);
}
T access(int k) {
return ys[mat.access(k)];
}
T operator[](const int &k) {
return access(k);
}
int rank(const T &x, int r) {
auto pos = get(x);
if(pos == ys.size() || ys[pos] != x) return 0;
return mat.rank(pos, r);
}
T kth_smallest(int l, int r, int k) {
return ys[mat.kth_smallest(l, r, k)];
}
T kth_largest(int l, int r, int k) {
return ys[mat.kth_largest(l, r, k)];
}
int range_freq(int l, int r, T upper) {
return mat.range_freq(l, r, get(upper));
}
int range_freq(int l, int r, T lower, T upper) {
return mat.range_freq(l, r, get(lower), get(upper));
}
T prev_value(int l, int r, T upper) {
auto ret = mat.prev_value(l, r, get(upper));
return ret == -1 ? T(-1) : ys[ret];
}
T next_value(int l, int r, T lower) {
auto ret = mat.next_value(l, r, get(lower));
return ret == -1 ? T(-1) : ys[ret];
}
};
#line 6 "test/verify/yosupo-range-kth-smallest.test.cpp"
int main() {
int N, Q;
cin >> N >> Q;
vector< int > A(N);
cin >> A;
CompressedWaveletMatrix< int, 18 > mat(A);
for(int i = 0; i < Q; i++) {
int a, b, c;
cin >> a >> b >> c;
cout << mat.kth_smallest(a, b, c) << "\n";
}
}
Env | Name | Status | Elapsed | Memory |
---|---|---|---|---|
g++ | all_zero_00 | AC | 7 ms | 4 MB |
g++ | dense_large_a_00 | AC | 68 ms | 4 MB |
g++ | dense_small_a_00 | AC | 65 ms | 4 MB |
g++ | example_00 | AC | 7 ms | 4 MB |
g++ | max_random_00 | AC | 201 ms | 9 MB |
g++ | max_random_01 | AC | 205 ms | 9 MB |
g++ | max_random_02 | AC | 199 ms | 9 MB |
g++ | max_random_03 | AC | 204 ms | 9 MB |
g++ | max_random_04 | AC | 216 ms | 9 MB |
g++ | random_00 | AC | 153 ms | 7 MB |
g++ | random_01 | AC | 144 ms | 7 MB |
g++ | random_02 | AC | 81 ms | 5 MB |
g++ | random_03 | AC | 73 ms | 8 MB |
g++ | random_04 | AC | 52 ms | 4 MB |
g++ | small_00 | AC | 7 ms | 4 MB |
g++ | small_01 | AC | 6 ms | 4 MB |
g++ | small_02 | AC | 6 ms | 4 MB |
g++ | small_03 | AC | 6 ms | 4 MB |
g++ | small_04 | AC | 6 ms | 4 MB |
g++ | small_05 | AC | 6 ms | 4 MB |
g++ | small_06 | AC | 6 ms | 4 MB |
g++ | small_07 | AC | 6 ms | 4 MB |
g++ | small_08 | AC | 6 ms | 4 MB |
g++ | small_09 | AC | 6 ms | 4 MB |
clang++ | all_zero_00 | AC | 7 ms | 4 MB |
clang++ | dense_large_a_00 | AC | 72 ms | 4 MB |
clang++ | dense_small_a_00 | AC | 67 ms | 4 MB |
clang++ | example_00 | AC | 6 ms | 4 MB |
clang++ | max_random_00 | AC | 197 ms | 9 MB |
clang++ | max_random_01 | AC | 197 ms | 9 MB |
clang++ | max_random_02 | AC | 196 ms | 9 MB |
clang++ | max_random_03 | AC | 200 ms | 9 MB |
clang++ | max_random_04 | AC | 200 ms | 9 MB |
clang++ | random_00 | AC | 135 ms | 7 MB |
clang++ | random_01 | AC | 143 ms | 7 MB |
clang++ | random_02 | AC | 83 ms | 5 MB |
clang++ | random_03 | AC | 68 ms | 8 MB |
clang++ | random_04 | AC | 54 ms | 4 MB |
clang++ | small_00 | AC | 7 ms | 4 MB |
clang++ | small_01 | AC | 6 ms | 4 MB |
clang++ | small_02 | AC | 6 ms | 4 MB |
clang++ | small_03 | AC | 6 ms | 4 MB |
clang++ | small_04 | AC | 6 ms | 4 MB |
clang++ | small_05 | AC | 6 ms | 4 MB |
clang++ | small_06 | AC | 6 ms | 4 MB |
clang++ | small_07 | AC | 6 ms | 4 MB |
clang++ | small_08 | AC | 6 ms | 4 MB |
clang++ | small_09 | AC | 6 ms | 4 MB |