This documentation is automatically generated by online-judge-tools/verification-helper
#include "data-structure/wavelet-matrix.hpp"
#include "bitvector.hpp"
//----- Wavelet Matrix -----
template <class T, int maxlog, bool USE_SUM = false>
struct WaveletMatrix {
int len;
BitVector matrix[maxlog];
int mid[maxlog];
vector<T> sum[maxlog];
WaveletMatrix(){}
WaveletMatrix(vector<T> v) : len(v.size()){
vector<T> l(len), r(len);
fill(matrix, matrix + maxlog, BitVector(len + 1));
if(USE_SUM) fill(sum, sum + maxlog, vector<T>(len + 1));
for(int level = maxlog - 1; level >= 0; level--){
int left = 0, right = 0;
for(int i = 0; i < len; 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);
copy(r.begin(), r.begin() + right, v.begin() + left);
if(USE_SUM){
sum[level][0] = 0;
for(int i = 0; i < len; i++){
sum[level][i + 1] = sum[level][i] + v[i];
}
}
}
}
inline int succ(const int f, const int l, const int level) const{
return matrix[level].rank(f, l) + mid[level] * f;
}
//find v[k]
T access(int k) const{
assert(0 <= k && k < len);
T res = 0;
for(int level = maxlog - 1; level >= 0; level--){
const bool f = matrix[level][k];
if(f) res |= T(1) << level;
k = matrix[level].rank(f, k) + mid[level]*f;
}
return res;
}
T operator[](const int k) const{ return access(k); }
// count i (0 <= i < r) && v[i] == x
int rank(const T x, int r) const{
assert(0 <= r && r <= len);
int l = 0;
for(int level = maxlog - 1; level >= 0; level--){
l = succ(x >> level & 1, l, level);
r = succ(x >> level & 1, r, level);
}
return r - l;
}
//k-th value v[l,r)
T kth_smallest(int l, int r, int k) const{
assert(0 <= l && l <= r && r <= len);
assert(0 <= k && k < r - l);
T res = 0;
for(int level = maxlog - 1; level >= 0; level--){
int cnt = matrix[level].rank(0, r) - matrix[level].rank(0, l);
bool f = cnt <= k;
if(f){
res |= T(1) << level;
k -= cnt;
}
l = succ(f, l, level);
r = succ(f, r, level);
}
return res;
}
T kth_largest(int l, int r, int k) const{
return kth_smallest(l, r, r-l-k-1);
}
// sum of [0,k)th smallest elements([l, r))
T kth_smallest_sum(int l, int r, int k) const{
assert(0 <= l && l <= r && r <= len);
assert(0 <= k && k <= r - l);
assert(USE_SUM);
T res = 0;
for(int level = maxlog - 1; level >= 0; level--){
const int l0 = matrix[level].rank(0, l);
const int r0 = matrix[level].rank(0, r);
if(k < r0 - l0){
l = l0, r = r0;
}else{
k -= r0 - l0;
res += sum[level][r0] - sum[level][l0];
l += mid[level] - l0;
r += mid[level] - r0;
}
}
if(k) res += sum[0][l + k] - sum[0][l];
return res;
}
// sum of [0,k)th largest elements([l, r))
T kth_largest_sum(int l, int r, int k) const{
assert(0 <= l && l <= r && r <= len);
assert(0 <= k && k <= r - l);
assert(USE_SUM);
return kth_smallest_sum(l, r, r - l) - kth_smallest_sum(l, r, r - l - k);
}
// count i (l <= i < r), (v[i] < upper)
int range_freq(int l, int r, const T upper) const{
int res = 0;
for(int level = maxlog - 1; level >= 0; level--){
bool f = upper >> level & 1;
if(f) res += matrix[level].rank(0, r) - matrix[level].rank(0, l);
l = succ(f, l, level);
r = succ(f, r, level);
}
return res;
}
// count i (l <= i < r), (lower <= v[i] < upper)
int range_freq(int l, int r, const T lower, const T upper) const{
assert(0 <= l && l <= r && r <= len);
return range_freq(l, r, upper) - range_freq(l, r, lower);
}
// max v[i] (l <= i < r), (v[i] < upper)
T prev_value(int l, int r, const T upper) const{
assert(0 <= l && l <= r && r <= len);
int cnt = range_freq(l, r, upper);
return cnt == 0 ? -1 : kth_smallest(l, r, cnt - 1);
}
// min v[i] (l <= i < r), (lower <= v[i])
T next_value(int l, int r, const T lower) const{
assert(0 <= l && l <= r && r <= len);
int cnt = range_freq(l, r, lower);
return cnt == r - l ? -1 : kth_smallest(l, r, cnt);
}
};
#line 1 "data-structure/bitvector.hpp"
struct BitVector {
using uint = unsigned int;
static constexpr int w = 32;
#define rem(k) ((k) & (w - 1))
int len, blocks;
vector<uint> bit, sum;
BitVector(){}
BitVector(const int len) : len(len), blocks((len+w-1)/w){
bit.assign(blocks, 0);
sum.assign(blocks, 0);
}
inline void set(const int k, const int b = 1) noexcept{
if(b) bit[k / w] |= 1U << rem(k);
else bit[k / w] &= ~(1U << rem(k));
}
void build(){
sum[0] = 0;
for(int i = 1; i < blocks; i++){
sum[i] = sum[i - 1] + __builtin_popcount(bit[i - 1]);
}
}
int operator[](const int k) const{
return bit[k / w] >> rem(k) & 1;
}
inline int rank(const int k) const noexcept{
return sum[k / w] + __builtin_popcount(bit[k / w] & ((1U << rem(k)) - 1));
}
inline int rank(const int val, const int k) const noexcept{
return val ? rank(k) : k - rank(k);
}
#undef rem
};
#line 2 "data-structure/wavelet-matrix.hpp"
//----- Wavelet Matrix -----
template <class T, int maxlog, bool USE_SUM = false>
struct WaveletMatrix {
int len;
BitVector matrix[maxlog];
int mid[maxlog];
vector<T> sum[maxlog];
WaveletMatrix(){}
WaveletMatrix(vector<T> v) : len(v.size()){
vector<T> l(len), r(len);
fill(matrix, matrix + maxlog, BitVector(len + 1));
if(USE_SUM) fill(sum, sum + maxlog, vector<T>(len + 1));
for(int level = maxlog - 1; level >= 0; level--){
int left = 0, right = 0;
for(int i = 0; i < len; 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);
copy(r.begin(), r.begin() + right, v.begin() + left);
if(USE_SUM){
sum[level][0] = 0;
for(int i = 0; i < len; i++){
sum[level][i + 1] = sum[level][i] + v[i];
}
}
}
}
inline int succ(const int f, const int l, const int level) const{
return matrix[level].rank(f, l) + mid[level] * f;
}
//find v[k]
T access(int k) const{
assert(0 <= k && k < len);
T res = 0;
for(int level = maxlog - 1; level >= 0; level--){
const bool f = matrix[level][k];
if(f) res |= T(1) << level;
k = matrix[level].rank(f, k) + mid[level]*f;
}
return res;
}
T operator[](const int k) const{ return access(k); }
// count i (0 <= i < r) && v[i] == x
int rank(const T x, int r) const{
assert(0 <= r && r <= len);
int l = 0;
for(int level = maxlog - 1; level >= 0; level--){
l = succ(x >> level & 1, l, level);
r = succ(x >> level & 1, r, level);
}
return r - l;
}
//k-th value v[l,r)
T kth_smallest(int l, int r, int k) const{
assert(0 <= l && l <= r && r <= len);
assert(0 <= k && k < r - l);
T res = 0;
for(int level = maxlog - 1; level >= 0; level--){
int cnt = matrix[level].rank(0, r) - matrix[level].rank(0, l);
bool f = cnt <= k;
if(f){
res |= T(1) << level;
k -= cnt;
}
l = succ(f, l, level);
r = succ(f, r, level);
}
return res;
}
T kth_largest(int l, int r, int k) const{
return kth_smallest(l, r, r-l-k-1);
}
// sum of [0,k)th smallest elements([l, r))
T kth_smallest_sum(int l, int r, int k) const{
assert(0 <= l && l <= r && r <= len);
assert(0 <= k && k <= r - l);
assert(USE_SUM);
T res = 0;
for(int level = maxlog - 1; level >= 0; level--){
const int l0 = matrix[level].rank(0, l);
const int r0 = matrix[level].rank(0, r);
if(k < r0 - l0){
l = l0, r = r0;
}else{
k -= r0 - l0;
res += sum[level][r0] - sum[level][l0];
l += mid[level] - l0;
r += mid[level] - r0;
}
}
if(k) res += sum[0][l + k] - sum[0][l];
return res;
}
// sum of [0,k)th largest elements([l, r))
T kth_largest_sum(int l, int r, int k) const{
assert(0 <= l && l <= r && r <= len);
assert(0 <= k && k <= r - l);
assert(USE_SUM);
return kth_smallest_sum(l, r, r - l) - kth_smallest_sum(l, r, r - l - k);
}
// count i (l <= i < r), (v[i] < upper)
int range_freq(int l, int r, const T upper) const{
int res = 0;
for(int level = maxlog - 1; level >= 0; level--){
bool f = upper >> level & 1;
if(f) res += matrix[level].rank(0, r) - matrix[level].rank(0, l);
l = succ(f, l, level);
r = succ(f, r, level);
}
return res;
}
// count i (l <= i < r), (lower <= v[i] < upper)
int range_freq(int l, int r, const T lower, const T upper) const{
assert(0 <= l && l <= r && r <= len);
return range_freq(l, r, upper) - range_freq(l, r, lower);
}
// max v[i] (l <= i < r), (v[i] < upper)
T prev_value(int l, int r, const T upper) const{
assert(0 <= l && l <= r && r <= len);
int cnt = range_freq(l, r, upper);
return cnt == 0 ? -1 : kth_smallest(l, r, cnt - 1);
}
// min v[i] (l <= i < r), (lower <= v[i])
T next_value(int l, int r, const T lower) const{
assert(0 <= l && l <= r && r <= len);
int cnt = range_freq(l, r, lower);
return cnt == r - l ? -1 : kth_smallest(l, r, cnt);
}
};