8aa3ef425e
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
186 lines
6.3 KiB
C++
186 lines
6.3 KiB
C++
// Boost.Geometry Index
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// Additional tests
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// Copyright (c) 2011-2013 Adam Wulkiewicz, Lodz, Poland.
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// Use, modification and distribution is subject to the Boost Software License,
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// Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at
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// http://www.boost.org/LICENSE_1_0.txt)
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#include <iostream>
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#define BOOST_GEOMETRY_INDEX_DETAIL_EXPERIMENTAL
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#include <boost/geometry.hpp>
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#include <boost/geometry/index/rtree.hpp>
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#include <boost/foreach.hpp>
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#include <boost/random.hpp>
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int main()
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{
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namespace bg = boost::geometry;
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namespace bgi = bg::index;
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size_t values_count = 1000000;
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size_t queries_count = 10000;
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size_t nearest_queries_count = 10000;
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unsigned neighbours_count = 10;
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std::vector< std::pair<float, float> > coords;
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//randomize values
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{
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boost::mt19937 rng;
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//rng.seed(static_cast<unsigned int>(std::time(0)));
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float max_val = static_cast<float>(values_count / 2);
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boost::uniform_real<float> range(-max_val, max_val);
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boost::variate_generator<boost::mt19937&, boost::uniform_real<float> > rnd(rng, range);
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coords.reserve(values_count);
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std::cout << "randomizing data\n";
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for ( size_t i = 0 ; i < values_count ; ++i )
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{
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coords.push_back(std::make_pair(rnd(), rnd()));
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}
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std::cout << "randomized\n";
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}
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typedef bg::model::point<double, 2, bg::cs::cartesian> P;
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typedef bg::model::box<P> B;
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typedef bgi::rtree<B, bgi::linear<16, 4> > RT;
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//typedef bgi::rtree<B, bgi::quadratic<8, 3> > RT;
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//typedef bgi::rtree<B, bgi::rstar<8, 3> > RT;
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std::cout << "sizeof rtree: " << sizeof(RT) << std::endl;
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{
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RT t;
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// inserting
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{
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for (size_t i = 0 ; i < values_count ; ++i )
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{
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float x = coords[i].first;
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float y = coords[i].second;
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B b(P(x - 0.5f, y - 0.5f), P(x + 0.5f, y + 0.5f));
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t.insert(b);
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}
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std::cout << "inserted values: " << values_count << '\n';
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}
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std::vector<B> result;
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result.reserve(100);
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// test
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std::vector<size_t> spatial_query_data;
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size_t spatial_query_index = 0;
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{
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size_t found_count = 0;
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for (size_t i = 0 ; i < queries_count ; ++i )
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{
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float x = coords[i].first;
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float y = coords[i].second;
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result.clear();
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t.query(bgi::intersects(B(P(x - 10, y - 10), P(x + 10, y + 10))), std::back_inserter(result));
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// test
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spatial_query_data.push_back(result.size());
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found_count += result.size();
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}
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std::cout << "spatial queries found: " << found_count << '\n';
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}
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#ifdef BOOST_GEOMETRY_INDEX_DETAIL_EXPERIMENTAL
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{
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size_t found_count = 0;
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for (size_t i = 0 ; i < queries_count ; ++i )
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{
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float x = coords[i].first;
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float y = coords[i].second;
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result.clear();
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std::copy(t.qbegin_(bgi::intersects(B(P(x - 10, y - 10), P(x + 10, y + 10)))),
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t.qend_(bgi::intersects(B(P(x - 10, y - 10), P(x + 10, y + 10)))),
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std::back_inserter(result));
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// test
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if ( spatial_query_data[spatial_query_index] != result.size() )
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std::cout << "Spatial query error - should be: " << spatial_query_data[spatial_query_index] << ", is: " << result.size() << '\n';
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++spatial_query_index;
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found_count += result.size();
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}
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std::cout << "incremental spatial queries found: " << found_count << '\n';
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}
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#endif
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// test
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std::vector<float> nearest_query_data;
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size_t nearest_query_data_index = 0;
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{
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size_t found_count = 0;
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for (size_t i = 0 ; i < nearest_queries_count ; ++i )
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{
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float x = coords[i].first + 100;
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float y = coords[i].second + 100;
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result.clear();
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t.query(bgi::nearest(P(x, y), neighbours_count), std::back_inserter(result));
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// test
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{
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float max_dist = 0;
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BOOST_FOREACH(B const& b, result)
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{
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float curr_dist = bgi::detail::comparable_distance_near(P(x, y), b);
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if ( max_dist < curr_dist )
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max_dist = curr_dist;
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}
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nearest_query_data.push_back(max_dist);
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}
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found_count += result.size();
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}
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std::cout << "nearest queries found: " << found_count << '\n';
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}
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#ifdef BOOST_GEOMETRY_INDEX_DETAIL_EXPERIMENTAL
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{
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size_t found_count = 0;
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for (size_t i = 0 ; i < nearest_queries_count ; ++i )
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{
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float x = coords[i].first + 100;
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float y = coords[i].second + 100;
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result.clear();
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std::copy(t.qbegin_(bgi::nearest(P(x, y), neighbours_count)),
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t.qend_(bgi::nearest(P(x, y), neighbours_count)),
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std::back_inserter(result));
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// test
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{
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float max_dist = 0;
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BOOST_FOREACH(B const& b, result)
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{
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float curr_dist = bgi::detail::comparable_distance_near(P(x, y), b);
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if ( max_dist < curr_dist )
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max_dist = curr_dist;
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}
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if ( nearest_query_data_index < nearest_query_data.size() &&
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nearest_query_data[nearest_query_data_index] != max_dist )
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std::cout << "Max distance error - should be: " << nearest_query_data[nearest_query_data_index] << ", and is: " << max_dist << "\n";
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++nearest_query_data_index;
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}
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found_count += result.size();
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}
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std::cout << "incremental nearest queries found: " << found_count << '\n';
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}
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#endif
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std::cout << "finished\n";
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}
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return 0;
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}
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