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k2_treap.hpp
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k2_treap.hpp
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/* sdsl - succinct data structures library
Copyright (C) 2014 Simon Gog
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/ .
*/
/*! \file k2_treap.hpp
\brief k2_treap.hpp contains a compact k^2-treap.
\author Simon Gog
*/
#ifndef INCLUDED_SDSL_K2_TREAP
#define INCLUDED_SDSL_K2_TREAP
#include "sdsl/vectors.hpp"
#include "sdsl/bits.hpp"
#include "sdsl/k2_treap_helper.hpp"
#include "sdsl/k2_treap_algorithm.hpp"
#include <tuple>
#include <algorithm>
#include <climits>
#include <vector>
//! Namespace for the succinct data structure library.
namespace sdsl
{
//! A k^2-treap.
/*! A k^2-treap is an indexing structure for a set of weighted points. The set
* consists of triples (x,y,w), where the first two components x and y are
* the coordinates of the point and w is the point's weight.
*
* The k^2 treap supports 4-sided range count queries and 4-sided prioritized
* range queries in 2d. Using the latter functionality it is also possible to
* support 6-sided range queries in 3d. An example can be found in
* examples/k2_treap_in_mem.cpp .
*
* The k^2-treap constructed in-place. The construct method expects either
* a vector of std::array<X,3> elements (each array represent a tuple x,y,w)
* or a file prefix FILE. In the latter case three serialized int_vector<>
* have to be present at FILE.x, FILE.y, and FILE.w. One int_vector<> per
* component.
*
* \par References
* [1] N. Brisaboa, G. de Bernardo, R. Konow, and G. Navarro:
* ,,$K^2$-Treaps: Range Top-$k$ Queries in Compact Space,
* Proceedings of SPIRE 2014.
*/
template<uint8_t t_k,
typename t_bv=bit_vector,
typename t_rank=typename t_bv::rank_1_type,
typename t_max_vec=dac_vector<>>
class k2_treap
{
static_assert(t_k>1, "t_k has to be larger than 1.");
static_assert(t_k<=16, "t_k has to be smaller than 17.");
public:
typedef int_vector<>::size_type size_type;
using node_type = k2_treap_ns::node_type;
using point_type = k2_treap_ns::point_type;
using t_p = k2_treap_ns::t_p;
enum { k = t_k };
private:
uint8_t m_t = 0;
t_bv m_bp;
t_rank m_bp_rank;
t_max_vec m_maxval;
std::vector<int_vector<>> m_coord;
int_vector<64> m_level_idx;
template<typename t_tv>
uint8_t get_t(const t_tv& v)
{
using namespace k2_treap_ns;
if (v.size() == 0) {
return 0;
}
using t_e = typename t_tv::value_type;
auto tupmax = [](t_e a) {
return std::max(std::get<0>(a),std::get<1>(a));
};
auto max_it = std::max_element(std::begin(v), std::end(v), [&](t_e a, t_e b) {
return tupmax(a) < tupmax(b);
});
uint64_t x = tupmax(*max_it);
uint8_t res = 0;
while (precomp<t_k>::exp(res) <= x) { ++res; }
return res;
}
public:
uint8_t& t = m_t;
k2_treap() = default;
k2_treap(const k2_treap& tr)
{
*this = tr;
}
k2_treap(k2_treap&& tr)
{
*this = std::move(tr);
}
//! Move assignment operator
k2_treap& operator=(k2_treap&& tr)
{
if (this != &tr) {
m_t = tr.m_t;
m_bp = std::move(tr.m_bp);
m_bp_rank = std::move(tr.m_bp_rank);
m_bp_rank.set_vector(&m_bp);
m_maxval = std::move(tr.m_maxval);
m_coord = std::move(tr.m_coord);
m_level_idx = std::move(tr.m_level_idx);
}
return *this;
}
//! Assignment operator
k2_treap& operator=(k2_treap& tr)
{
if (this != &tr) {
m_t = tr.m_t;
m_bp = tr.m_bp;
m_bp_rank = tr.m_bp_rank;
m_bp_rank.set_vector(&m_bp);
m_maxval = tr.m_maxval;
m_coord = tr.m_coord;
m_level_idx = tr.m_level_idx;
}
return *this;
}
//! Number of points in the 2^k treap
size_type
size() const
{
return m_maxval.size();
}
//! Swap operator
void swap(k2_treap& tr)
{
if (this != &tr) {
std::swap(m_t, tr.m_t);
m_bp.swap(tr.m_bp);
util::swap_support(m_bp_rank, tr.m_bp_rank, &m_bp, &(tr.m_bp));
m_maxval.swap(tr.m_maxval);
m_coord.swap(tr.m_coord);
m_level_idx.swap(tr.m_level_idx);
}
}
k2_treap(int_vector_buffer<>& buf_x,
int_vector_buffer<>& buf_y,
int_vector_buffer<>& buf_w)
{
using namespace k2_treap_ns;
typedef int_vector_buffer<>* t_buf_p;
std::vector<t_buf_p> bufs = {&buf_x, &buf_y, &buf_w};
auto max_element = [](int_vector_buffer<>& buf) {
uint64_t max_val = 0;
for (auto val : buf) {
max_val = std::max((uint64_t)val, max_val);
}
return max_val;
};
auto max_buf_element = [&]() {
uint64_t max_v = 0;
for (auto buf : bufs) {
uint64_t _max_v = max_element(*buf);
max_v = std::max(max_v, _max_v);
}
return max_v;
};
uint64_t x = max_buf_element();
uint8_t res = 0;
while (res <= 64 and precomp<t_k>::exp(res) <= x) { ++res; }
if (res == 65) {
throw std::logic_error("Maximal element of input is too big.");
}
if (precomp<t_k>::exp(res) <= std::numeric_limits<uint32_t>::max()) {
auto v = read<uint32_t,uint32_t,uint32_t>(bufs);
construct(v, buf_x.filename());
} else {
auto v = read<uint64_t,uint64_t,uint64_t>(bufs);
construct(v, buf_x.filename());
}
}
template<typename t_x=uint64_t, typename t_y=uint64_t, typename t_w=uint64_t>
std::vector<std::tuple<t_x, t_y, t_w>>
read(std::vector<int_vector_buffer<>*>& bufs)
{
typedef std::vector<std::tuple<t_x, t_y, t_w>> t_tuple_vec;
t_tuple_vec v = t_tuple_vec(bufs[0]->size());
for (uint64_t j=0; j<v.size(); ++j) {
std::get<0>(v[j]) = (*(bufs[0]))[j];
}
for (uint64_t j=0; j<v.size(); ++j) {
std::get<1>(v[j]) = (*(bufs[1]))[j];
}
for (uint64_t j=0; j<v.size(); ++j) {
std::get<2>(v[j]) = (*(bufs[2]))[j];
}
return v;
}
template<typename t_x, typename t_y, typename t_w>
k2_treap(std::vector<std::tuple<t_x, t_y, t_w>>& v, std::string temp_file_prefix="")
{
if (v.size() > 0) {
construct(v, temp_file_prefix);
}
}
template<typename t_x, typename t_y, typename t_w>
void construct(std::vector<std::tuple<t_x, t_y, t_w>>& v, std::string temp_file_prefix="")
{
using namespace k2_treap_ns;
using t_e = std::tuple<t_x, t_y, t_w>;
m_t = get_t(v);
uint64_t M = precomp<t_k>::exp(t);
t_e MM = t_e(M,M,M);
std::string id_part = util::to_string(util::pid())
+ "_" + util::to_string(util::id());
m_coord.resize(t);
m_level_idx = int_vector<64>(1+t, 0);
std::string val_file = temp_file_prefix + "_k2_treap_"
+ id_part + ".sdsl";
std::string bp_file = temp_file_prefix + "_bp_" + id_part
+ ".sdsl";
{
int_vector_buffer<> val_buf(val_file, std::ios::out);
int_vector_buffer<1> bp_buf(bp_file, std::ios::out);
auto end = std::end(v);
uint64_t last_level_nodes = 1;
uint64_t level_nodes;
for (uint64_t l=t, cc=0; l+1 > 0; --l) {
if (l > 0) {
m_level_idx[l-1] = m_level_idx[l] + last_level_nodes;
m_coord[l-1] = int_vector<>(2*last_level_nodes,0, bits::hi(precomp<t_k>::exp(l))+1);
}
level_nodes = 0;
cc = 0;
auto sp = std::begin(v);
for (auto ep = sp; ep != end;) {
ep = std::find_if(sp, end, [&sp,&l](const t_e& e) {
auto x1 = std::get<0>(*sp);
auto y1 = std::get<1>(*sp);
auto x2 = std::get<0>(e);
auto y2 = std::get<1>(e);
return precomp<t_k>::divexp(x1,l) != precomp<t_k>::divexp(x2,l)
or precomp<t_k>::divexp(y1,l) != precomp<t_k>::divexp(y2,l);
});
auto max_it = std::max_element(sp, ep, [](t_e a, t_e b) {
if (std::get<2>(a) != std::get<2>(b))
return std::get<2>(a) < std::get<2>(b);
else if (std::get<0>(a) != std::get<0>(b))
return std::get<0>(a) > std::get<0>(b);
return std::get<1>(a) > std::get<1>(b);
});
if (l > 0) {
m_coord[l-1][2*cc] = precomp<t_k>::modexp(std::get<0>(*max_it), l);
m_coord[l-1][2*cc+1] = precomp<t_k>::modexp(std::get<1>(*max_it), l);
++cc;
}
val_buf.push_back(std::get<2>(*max_it));
*max_it = MM;
--ep;
std::swap(*max_it, *ep);
if (l > 0) {
auto _sp = sp;
for (uint8_t i=0; i < t_k; ++i) {
auto _ep = ep;
if (i+1 < t_k) {
_ep = std::partition(_sp, ep, [&i,&l](const t_e& e) {
return precomp<t_k>::divexp(std::get<0>(e),l-1)%t_k <= i;
});
}
auto __sp = _sp;
for (uint8_t j=0; j < t_k; ++j) {
auto __ep = _ep;
if (j+1 < t_k) {
__ep = std::partition(__sp, _ep, [&j,&l](const t_e& e) {
return precomp<t_k>::divexp(std::get<1>(e),l-1)%t_k <= j;
});
}
bool not_empty = __ep > __sp;
bp_buf.push_back(not_empty);
level_nodes += not_empty;
__sp = __ep;
}
_sp = _ep;
}
}
++ep;
sp = ep;
}
end = std::remove_if(begin(v), end, [&](t_e e) {
return e == MM;
});
last_level_nodes = level_nodes;
}
}
bit_vector bp;
load_from_file(bp, bp_file);
{
int_vector_buffer<> val_rw(val_file, std::ios::in | std::ios::out);
int_vector_buffer<> val_r(val_file, std::ios::in);
uint64_t bp_idx = bp.size();
uint64_t r_idx = m_level_idx[0];
uint64_t rw_idx = val_rw.size();
while (bp_idx > 0) {
--r_idx;
for (size_t i=0; i < t_k*t_k; ++i) {
if (bp[--bp_idx]) {
--rw_idx;
val_rw[rw_idx] = val_r[r_idx] - val_rw[rw_idx];
}
}
}
}
{
int_vector_buffer<> val_r(val_file);
m_maxval = t_max_vec(val_r);
}
{
bit_vector _bp;
_bp.swap(bp);
m_bp = t_bv(_bp);
}
util::init_support(m_bp_rank, &m_bp);
sdsl::remove(bp_file);
sdsl::remove(val_file);
}
//! Serializes the data structure into the given ostream
size_type serialize(std::ostream& out, structure_tree_node* v=nullptr,
std::string name="")const
{
structure_tree_node* child = structure_tree::add_child(
v, name, util::class_name(*this));
size_type written_bytes = 0;
written_bytes += write_member(m_t, out, child, "t");
written_bytes += m_bp.serialize(out, child, "bp");
written_bytes += m_bp_rank.serialize(out, child, "bp_rank");
written_bytes += serialize_vector(m_coord, out, child, "coord");
written_bytes += m_maxval.serialize(out, child, "maxval");
written_bytes += m_level_idx.serialize(out, child, "level_idx");
structure_tree::add_size(child, written_bytes);
return written_bytes;
}
//! Loads the data structure from the given istream.
void load(std::istream& in)
{
read_member(m_t, in);
m_bp.load(in);
m_bp_rank.load(in);
m_bp_rank.set_vector(&m_bp);
m_coord.resize(t);
load_vector(m_coord, in);
m_maxval.load(in);
m_level_idx.load(in);
}
node_type
root() const
{
return node_type(t, t_p(0,0), 0, m_maxval[0],
t_p(m_coord[t-1][0], m_coord[t-1][1]));
}
bool
is_leaf(const node_type& v) const
{
return v.idx >= m_bp.size();
}
std::vector<node_type>
children(const node_type& v) const
{
using namespace k2_treap_ns;
std::vector<node_type> res;
if (!is_leaf(v)) {
uint64_t rank = m_bp_rank(v.idx);
auto x = std::real(v.p);
auto y = std::imag(v.p);
for (size_t i=0; i<t_k; ++i) {
for (size_t j=0; j<t_k; ++j) {
// get_int better for compressed bitvectors
// or introduce cache for bitvectors
if (m_bp[v.idx+t_k*i+j]) {
++rank;
auto _x = x + i*precomp<t_k>::exp(v.t-1);
auto _y = y + j*precomp<t_k>::exp(v.t-1);
auto _max_v = v.max_v - m_maxval[rank];
auto _max_p = t_p(_x, _y);
if (v.t > 1) {
auto y = rank-m_level_idx[v.t-1];
_max_p = t_p(_x+m_coord[v.t-2][2*y],
_y+m_coord[v.t-2][2*y+1]);
}
res.emplace_back(v.t-1, t_p(_x,_y), rank*t_k*t_k,
_max_v, _max_p);
}
}
}
}
return res;
}
};
}
#endif