geometry/index/example/random_test.cpp
Adam Wulkiewicz 8aa3ef425e [equals][index/examples] Optimize equals(Seg,Seg) and fix index/examples
Use less comparisions in equals(Seg,Seg) - suggested by Menelaos Karavelas
Add missing include to examples - caused by the recent change of the distance/rtree
2014-05-15 02:56:15 +02:00

186 lines
6.3 KiB
C++

// Boost.Geometry Index
// Additional tests
// Copyright (c) 2011-2013 Adam Wulkiewicz, Lodz, Poland.
// Use, modification and distribution is subject to the Boost Software License,
// Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
#include <iostream>
#define BOOST_GEOMETRY_INDEX_DETAIL_EXPERIMENTAL
#include <boost/geometry.hpp>
#include <boost/geometry/index/rtree.hpp>
#include <boost/foreach.hpp>
#include <boost/random.hpp>
int main()
{
namespace bg = boost::geometry;
namespace bgi = bg::index;
size_t values_count = 1000000;
size_t queries_count = 10000;
size_t nearest_queries_count = 10000;
unsigned neighbours_count = 10;
std::vector< std::pair<float, float> > coords;
//randomize values
{
boost::mt19937 rng;
//rng.seed(static_cast<unsigned int>(std::time(0)));
float max_val = static_cast<float>(values_count / 2);
boost::uniform_real<float> range(-max_val, max_val);
boost::variate_generator<boost::mt19937&, boost::uniform_real<float> > rnd(rng, range);
coords.reserve(values_count);
std::cout << "randomizing data\n";
for ( size_t i = 0 ; i < values_count ; ++i )
{
coords.push_back(std::make_pair(rnd(), rnd()));
}
std::cout << "randomized\n";
}
typedef bg::model::point<double, 2, bg::cs::cartesian> P;
typedef bg::model::box<P> B;
typedef bgi::rtree<B, bgi::linear<16, 4> > RT;
//typedef bgi::rtree<B, bgi::quadratic<8, 3> > RT;
//typedef bgi::rtree<B, bgi::rstar<8, 3> > RT;
std::cout << "sizeof rtree: " << sizeof(RT) << std::endl;
{
RT t;
// inserting
{
for (size_t i = 0 ; i < values_count ; ++i )
{
float x = coords[i].first;
float y = coords[i].second;
B b(P(x - 0.5f, y - 0.5f), P(x + 0.5f, y + 0.5f));
t.insert(b);
}
std::cout << "inserted values: " << values_count << '\n';
}
std::vector<B> result;
result.reserve(100);
// test
std::vector<size_t> spatial_query_data;
size_t spatial_query_index = 0;
{
size_t found_count = 0;
for (size_t i = 0 ; i < queries_count ; ++i )
{
float x = coords[i].first;
float y = coords[i].second;
result.clear();
t.query(bgi::intersects(B(P(x - 10, y - 10), P(x + 10, y + 10))), std::back_inserter(result));
// test
spatial_query_data.push_back(result.size());
found_count += result.size();
}
std::cout << "spatial queries found: " << found_count << '\n';
}
#ifdef BOOST_GEOMETRY_INDEX_DETAIL_EXPERIMENTAL
{
size_t found_count = 0;
for (size_t i = 0 ; i < queries_count ; ++i )
{
float x = coords[i].first;
float y = coords[i].second;
result.clear();
std::copy(t.qbegin_(bgi::intersects(B(P(x - 10, y - 10), P(x + 10, y + 10)))),
t.qend_(bgi::intersects(B(P(x - 10, y - 10), P(x + 10, y + 10)))),
std::back_inserter(result));
// test
if ( spatial_query_data[spatial_query_index] != result.size() )
std::cout << "Spatial query error - should be: " << spatial_query_data[spatial_query_index] << ", is: " << result.size() << '\n';
++spatial_query_index;
found_count += result.size();
}
std::cout << "incremental spatial queries found: " << found_count << '\n';
}
#endif
// test
std::vector<float> nearest_query_data;
size_t nearest_query_data_index = 0;
{
size_t found_count = 0;
for (size_t i = 0 ; i < nearest_queries_count ; ++i )
{
float x = coords[i].first + 100;
float y = coords[i].second + 100;
result.clear();
t.query(bgi::nearest(P(x, y), neighbours_count), std::back_inserter(result));
// test
{
float max_dist = 0;
BOOST_FOREACH(B const& b, result)
{
float curr_dist = bgi::detail::comparable_distance_near(P(x, y), b);
if ( max_dist < curr_dist )
max_dist = curr_dist;
}
nearest_query_data.push_back(max_dist);
}
found_count += result.size();
}
std::cout << "nearest queries found: " << found_count << '\n';
}
#ifdef BOOST_GEOMETRY_INDEX_DETAIL_EXPERIMENTAL
{
size_t found_count = 0;
for (size_t i = 0 ; i < nearest_queries_count ; ++i )
{
float x = coords[i].first + 100;
float y = coords[i].second + 100;
result.clear();
std::copy(t.qbegin_(bgi::nearest(P(x, y), neighbours_count)),
t.qend_(bgi::nearest(P(x, y), neighbours_count)),
std::back_inserter(result));
// test
{
float max_dist = 0;
BOOST_FOREACH(B const& b, result)
{
float curr_dist = bgi::detail::comparable_distance_near(P(x, y), b);
if ( max_dist < curr_dist )
max_dist = curr_dist;
}
if ( nearest_query_data_index < nearest_query_data.size() &&
nearest_query_data[nearest_query_data_index] != max_dist )
std::cout << "Max distance error - should be: " << nearest_query_data[nearest_query_data_index] << ", and is: " << max_dist << "\n";
++nearest_query_data_index;
}
found_count += result.size();
}
std::cout << "incremental nearest queries found: " << found_count << '\n';
}
#endif
std::cout << "finished\n";
}
return 0;
}