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k2_treap_test.cpp
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k2_treap_test.cpp
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#include "sdsl/k2_treap.hpp"
#include "sdsl/bit_vectors.hpp"
#include "gtest/gtest.h"
#include <vector>
#include <tuple>
#include <string>
#include <algorithm> // for std::min. std::sort
#include <random>
namespace
{
using namespace sdsl;
using namespace std;
typedef int_vector<>::size_type size_type;
string test_file;
string temp_file;
bool in_memory;
template<class T>
class k2_treap_test : public ::testing::Test { };
using testing::Types;
typedef Types<
k2_treap<2, bit_vector>,
k2_treap<2, rrr_vector<63>>,
k2_treap<3, bit_vector>,
k2_treap<4, rrr_vector<63>>,
k2_treap<5, rrr_vector<63>>,
k2_treap<6, rrr_vector<63>>,
k2_treap<16, rrr_vector<63>>
> Implementations;
TYPED_TEST_CASE(k2_treap_test, Implementations);
TYPED_TEST(k2_treap_test, CreateAndStoreTest)
{
TypeParam k2treap;
construct(k2treap, test_file);
ASSERT_TRUE(store_to_file(k2treap, temp_file));
}
template<class t_k2treap>
void topk_test(
const t_k2treap& k2treap,
complex<uint64_t> min_xy,
complex<uint64_t> max_xy,
const int_vector<>& x,
const int_vector<>& y,
const int_vector<>& w)
{
auto res_it = top_k(k2treap, {real(min_xy),imag(min_xy)}, {real(max_xy),imag(max_xy)});
typedef tuple<uint64_t, uint64_t, uint64_t> t_xyw;
vector<t_xyw> vec;
for (uint64_t i = 0; i < x.size(); ++i) {
if (x[i] >= real(min_xy) and x[i] <= real(max_xy)
and y[i] >= imag(min_xy) and y[i] <= imag(max_xy)) {
vec.emplace_back(x[i], y[i], w[i]);
}
}
sort(vec.begin(), vec.end(), [](const t_xyw& a, const t_xyw& b) {
if (get<2>(a) != get<2>(b))
return get<2>(a) > get<2>(b);
else if (get<0>(a) != get<0>(b))
return get<0>(a) < get<0>(b);
return get<1>(a) < get<1>(b);
});
uint64_t cnt = 0;
while (res_it) {
ASSERT_TRUE(cnt < vec.size());
auto p = *res_it;
ASSERT_EQ(get<2>(vec[cnt]), p.second);
ASSERT_EQ(get<0>(vec[cnt]), real(p.first));
ASSERT_EQ(get<1>(vec[cnt]), imag(p.first));
++res_it;
++cnt;
}
ASSERT_FALSE(res_it);
}
TYPED_TEST(k2_treap_test, size_and_top_k)
{
TypeParam k2treap;
ASSERT_TRUE(load_from_file(k2treap, temp_file));
int_vector<> x,y,w;
ASSERT_TRUE(load_from_file(x, test_file+".x"));
ASSERT_TRUE(load_from_file(y, test_file+".y"));
ASSERT_EQ(x.size(), y.size());
ASSERT_TRUE(load_from_file(w, test_file+".w"));
ASSERT_EQ(x.size(), w.size());
ASSERT_EQ(x.size(), k2treap.size());
uint64_t maxx=0, maxy=0;
if (x.size() > 0) {
maxx = *max_element(x.begin(), x.end());
maxy = *max_element(y.begin(), y.end());
}
uint64_t minx=0, miny=0;
topk_test(k2treap, {minx,maxx}, {miny,maxy}, x, y, w);
if (x.size() > 0) {
std::mt19937_64 rng;
std::uniform_int_distribution<uint64_t> distribution(0, x.size()-1);
auto dice = bind(distribution, rng);
for (size_t i=0; i<20; ++i) {
auto idx = dice();
uint64_t xx = x[idx];
uint64_t yy = y[idx];
uint64_t dd = 20;
uint64_t minx=0, miny=0, maxx=xx+dd, maxy=yy+dd;
if (xx >= dd)
minx = xx - dd;
if (yy >= dd)
miny = yy - dd;
topk_test(k2treap, {minx, miny}, {maxx,maxy}, x, y, w);
}
}
}
template<class t_k2treap>
void range3d_test(
const t_k2treap& k2treap,
complex<uint64_t> min_xy,
complex<uint64_t> max_xy,
complex<uint64_t> z,
const int_vector<>& x,
const int_vector<>& y,
const int_vector<>& w)
{
auto res_it = range_3d(k2treap, {real(min_xy),imag(min_xy)},
{real(max_xy),imag(max_xy)},
{real(z), imag(z)});
typedef tuple<uint64_t, uint64_t, uint64_t> t_xyw;
vector<t_xyw> vec;
for (uint64_t i = 0; i < x.size(); ++i) {
if (x[i] >= real(min_xy) and x[i] <= real(max_xy)
and y[i] >= imag(min_xy) and y[i] <= imag(max_xy)) {
vec.emplace_back(x[i], y[i], w[i]);
}
}
sort(vec.begin(), vec.end(), [](const t_xyw& a, const t_xyw& b) {
if (get<2>(a) != get<2>(b))
return get<2>(a) > get<2>(b);
else if (get<0>(a) != get<0>(b))
return get<0>(a) < get<0>(b);
return get<1>(a) < get<1>(b);
});
uint64_t cnt = 0;
while (res_it) {
ASSERT_TRUE(cnt < vec.size());
auto p = *res_it;
ASSERT_EQ(get<2>(vec[cnt]), p.second);
ASSERT_EQ(get<0>(vec[cnt]), real(p.first));
ASSERT_EQ(get<1>(vec[cnt]), imag(p.first));
++res_it;
++cnt;
}
ASSERT_FALSE(res_it);
}
TYPED_TEST(k2_treap_test, range_3d)
{
TypeParam k2treap;
ASSERT_TRUE(load_from_file(k2treap, temp_file));
int_vector<> x,y,w;
ASSERT_TRUE(load_from_file(x, test_file+".x"));
ASSERT_TRUE(load_from_file(y, test_file+".y"));
ASSERT_EQ(x.size(), y.size());
ASSERT_TRUE(load_from_file(w, test_file+".w"));
ASSERT_EQ(x.size(), w.size());
ASSERT_EQ(x.size(), k2treap.size());
if (x.size() > 0) {
std::mt19937_64 rng;
std::uniform_int_distribution<uint64_t> distribution(0, x.size()-1);
auto dice = bind(distribution, rng);
for (size_t i=0; i<20; ++i) {
auto idx = dice();
uint64_t xx = x[idx];
uint64_t yy = y[idx];
uint64_t ww = w[idx];
uint64_t dd = 20;
uint64_t dw = 100;
uint64_t minx=0, miny=0, maxx=xx+dd, maxy=yy+dd, minw=0, maxw=ww+dw;
if (xx >= dd)
minx = xx - dd;
if (yy >= dd)
miny = yy - dd;
if (ww >= dw)
minw = ww - dw;
range3d_test(k2treap, {minx, miny}, {maxx,maxy}, {minw,maxw}, x, y, w);
}
}
}
template<class t_k2treap>
void count_test(
const t_k2treap& k2treap,
complex<uint64_t> min_xy,
complex<uint64_t> max_xy,
const int_vector<>& x,
const int_vector<>& y)
{
uint64_t cnt = 0;
for (uint64_t i = 0; i < x.size(); ++i) {
if (x[i] >= real(min_xy) and x[i] <= real(max_xy)
and y[i] >= imag(min_xy) and y[i] <= imag(max_xy)) {
++cnt;
}
}
ASSERT_EQ(cnt, count(k2treap, {real(min_xy),imag(min_xy)}, {real(max_xy),imag(max_xy)}));
}
TYPED_TEST(k2_treap_test, count)
{
TypeParam k2treap;
ASSERT_TRUE(load_from_file(k2treap, temp_file));
int_vector<> x,y;
ASSERT_TRUE(load_from_file(x, test_file+".x"));
ASSERT_TRUE(load_from_file(y, test_file+".y"));
ASSERT_EQ(x.size(), y.size());
ASSERT_EQ(x.size(), k2treap.size());
if (x.size() > 0) {
std::mt19937_64 rng;
std::uniform_int_distribution<uint64_t> distribution(0, x.size()-1);
auto dice = bind(distribution, rng);
for (size_t i=0; i<3; ++i) {
auto idx1 = dice();
auto idx2 = dice();
uint64_t x1 = x[idx1];
uint64_t y1 = y[idx1];
uint64_t x2 = x[idx2];
uint64_t y2 = y[idx2];
count_test(k2treap, {std::min(x1,x2), std::min(y1,y2)}, {std::max(x1,x2),std::max(y1,y2)}, x, y);
}
}
}
} // namespace
int main(int argc, char** argv)
{
::testing::InitGoogleTest(&argc, argv);
if (argc < 3) {
// LCOV_EXCL_START
cout << "Usage: " << argv[0] << " file temp_file [in-memory]" << endl;
cout << " (1) Generates a k2-treap out of file.x, file.y, and file.w." << endl;
cout << " Result is stored in temp_file." << endl;
cout << " If `in-memory` is specified, the in-memory construction is tested." << endl;
cout << " (2) Performs tests." << endl;
cout << " (3) Deletes temp_file." << endl;
return 1;
// LCOV_EXCL_STOP
}
test_file = argv[1];
temp_file = argv[2];
in_memory = argc > 3;
if (in_memory) {
auto load_and_store_in_mem = [&](string suf) {
int_vector<> data;
string file = temp_file + suf;
load_vector_from_file(data,file);
string ram_file = ram_file_name(file);
store_to_file(data, ram_file);
};
load_and_store_in_mem("x");
load_and_store_in_mem("y");
load_and_store_in_mem("w");
temp_file = ram_file_name(temp_file);
}
return RUN_ALL_TESTS();
}