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osrm-backend/unit_tests/util/rectangle.cpp

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Add rectangle unit test
2016-02-23 22:41:43 -05:00
#include "util/rectangle.hpp"
#include "util/typedefs.hpp"
#include <boost/test/unit_test.hpp>
#include <boost/test/test_case_template.hpp>
BOOST_AUTO_TEST_SUITE(rectangle_test)
using namespace osrm;
using namespace osrm::util;
// Verify that the bearing-bounds checking function behaves as expected
BOOST_AUTO_TEST_CASE(get_min_dist_test)
{
// ^
// |
// +- 80
// |
// |
// +- 10
// |
//--|-----|--+--|-----|-->
// -100 -10 | 10 100
// +- -10
// |
// |
// +- -80
// |
Fix mathematical assumptions in StaticRTree StaticRTree now uses projected coordinates internally. That means we can use a euclidean distance measure (squared distance) for sorting the query queue.
2016-03-28 14:38:19 -04:00
RectangleInt2D ne{FloatLongitude(10), FloatLongitude(100), FloatLatitude(10),
First round of lat,lng -> lng,lat switcheroo
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FloatLatitude(80)};
Fix mathematical assumptions in StaticRTree StaticRTree now uses projected coordinates internally. That means we can use a euclidean distance measure (squared distance) for sorting the query queue.
2016-03-28 14:38:19 -04:00
RectangleInt2D nw{FloatLongitude(-100), FloatLongitude(-10), FloatLatitude(10),
FloatLatitude(80)};
RectangleInt2D se{FloatLongitude(10), FloatLongitude(100), FloatLatitude(-80),
FloatLatitude(-10)};
RectangleInt2D sw{FloatLongitude(-100), FloatLongitude(-10), FloatLatitude(-80),
First round of lat,lng -> lng,lat switcheroo
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FloatLatitude(-10)};
Add rectangle unit test
2016-02-23 22:41:43 -05:00
Fix mathematical assumptions in StaticRTree StaticRTree now uses projected coordinates internally. That means we can use a euclidean distance measure (squared distance) for sorting the query queue.
2016-03-28 14:38:19 -04:00
Coordinate nw_sw{FloatLongitude(-100.1), FloatLatitude(9.9)};
Coordinate nw_se{FloatLongitude(-9.9), FloatLatitude(9.9)};
Coordinate nw_ne{FloatLongitude(-9.9), FloatLatitude(80.1)};
Coordinate nw_nw{FloatLongitude(-100.1), FloatLatitude(80.1)};
Coordinate nw_s{FloatLongitude(-55), FloatLatitude(9.9)};
Coordinate nw_e{FloatLongitude(-9.9), FloatLatitude(45.0)};
Coordinate nw_w{FloatLongitude(-100.1), FloatLatitude(45.0)};
Coordinate nw_n{FloatLongitude(-55), FloatLatitude(80.1)};
BOOST_CHECK_CLOSE(nw.GetMinSquaredDist(nw_sw), 0.02, 0.1);
BOOST_CHECK_CLOSE(nw.GetMinSquaredDist(nw_se), 0.02, 0.1);
BOOST_CHECK_CLOSE(nw.GetMinSquaredDist(nw_ne), 0.02, 0.1);
BOOST_CHECK_CLOSE(nw.GetMinSquaredDist(nw_nw), 0.02, 0.1);
BOOST_CHECK_CLOSE(nw.GetMinSquaredDist(nw_s), 0.01, 0.1);
BOOST_CHECK_CLOSE(nw.GetMinSquaredDist(nw_e), 0.01, 0.1);
BOOST_CHECK_CLOSE(nw.GetMinSquaredDist(nw_w), 0.01, 0.1);
BOOST_CHECK_CLOSE(nw.GetMinSquaredDist(nw_n), 0.01, 0.1);
Coordinate ne_sw{FloatLongitude(9.9), FloatLatitude(9.9)};
Coordinate ne_se{FloatLongitude(100.1), FloatLatitude(9.9)};
Coordinate ne_ne{FloatLongitude(100.1), FloatLatitude(80.1)};
Coordinate ne_nw{FloatLongitude(9.9), FloatLatitude(80.1)};
Coordinate ne_s{FloatLongitude(55), FloatLatitude(9.9)};
Coordinate ne_e{FloatLongitude(100.1), FloatLatitude(45.0)};
Coordinate ne_w{FloatLongitude(9.9), FloatLatitude(45.0)};
Coordinate ne_n{FloatLongitude(55), FloatLatitude(80.1)};
BOOST_CHECK_CLOSE(ne.GetMinSquaredDist(ne_sw), 0.02, 0.1);
BOOST_CHECK_CLOSE(ne.GetMinSquaredDist(ne_se), 0.02, 0.1);
BOOST_CHECK_CLOSE(ne.GetMinSquaredDist(ne_ne), 0.02, 0.1);
BOOST_CHECK_CLOSE(ne.GetMinSquaredDist(ne_nw), 0.02, 0.1);
BOOST_CHECK_CLOSE(ne.GetMinSquaredDist(ne_s), 0.01, 0.1);
BOOST_CHECK_CLOSE(ne.GetMinSquaredDist(ne_e), 0.01, 0.1);
BOOST_CHECK_CLOSE(ne.GetMinSquaredDist(ne_w), 0.01, 0.1);
BOOST_CHECK_CLOSE(ne.GetMinSquaredDist(ne_n), 0.01, 0.1);
Coordinate se_ne{FloatLongitude(100.1), FloatLatitude(-9.9)};
Coordinate se_nw{FloatLongitude(9.9), FloatLatitude(-9.9)};
Coordinate se_sw{FloatLongitude(9.9), FloatLatitude(-80.1)};
Coordinate se_se{FloatLongitude(100.1), FloatLatitude(-80.1)};
Coordinate se_n{FloatLongitude(55), FloatLatitude(-9.9)};
Coordinate se_w{FloatLongitude(9.9), FloatLatitude(-45.0)};
Coordinate se_e{FloatLongitude(100.1), FloatLatitude(-45.0)};
Coordinate se_s{FloatLongitude(55), FloatLatitude(-80.1)};
BOOST_CHECK_CLOSE(se.GetMinSquaredDist(se_sw), 0.02, 0.1);
BOOST_CHECK_CLOSE(se.GetMinSquaredDist(se_se), 0.02, 0.1);
BOOST_CHECK_CLOSE(se.GetMinSquaredDist(se_ne), 0.02, 0.1);
BOOST_CHECK_CLOSE(se.GetMinSquaredDist(se_nw), 0.02, 0.1);
BOOST_CHECK_CLOSE(se.GetMinSquaredDist(se_s), 0.01, 0.1);
BOOST_CHECK_CLOSE(se.GetMinSquaredDist(se_e), 0.01, 0.1);
BOOST_CHECK_CLOSE(se.GetMinSquaredDist(se_w), 0.01, 0.1);
BOOST_CHECK_CLOSE(se.GetMinSquaredDist(se_n), 0.01, 0.1);
Add rectangle unit test
2016-02-23 22:41:43 -05:00
Fix mathematical assumptions in StaticRTree StaticRTree now uses projected coordinates internally. That means we can use a euclidean distance measure (squared distance) for sorting the query queue.
2016-03-28 14:38:19 -04:00
Coordinate sw_ne{FloatLongitude(-9.9), FloatLatitude(-9.9)};
Coordinate sw_nw{FloatLongitude(-100.1), FloatLatitude(-9.9)};
Coordinate sw_sw{FloatLongitude(-100.1), FloatLatitude(-80.1)};
Coordinate sw_se{FloatLongitude(-9.9), FloatLatitude(-80.1)};
Coordinate sw_n{FloatLongitude(-55), FloatLatitude(-9.9)};
Coordinate sw_w{FloatLongitude(-100.1), FloatLatitude(-45.0)};
Coordinate sw_e{FloatLongitude(-9.9), FloatLatitude(-45.0)};
Coordinate sw_s{FloatLongitude(-55), FloatLatitude(-80.1)};
BOOST_CHECK_CLOSE(sw.GetMinSquaredDist(sw_sw), 0.02, 0.1);
BOOST_CHECK_CLOSE(sw.GetMinSquaredDist(sw_se), 0.02, 0.1);
BOOST_CHECK_CLOSE(sw.GetMinSquaredDist(sw_ne), 0.02, 0.1);
BOOST_CHECK_CLOSE(sw.GetMinSquaredDist(sw_nw), 0.02, 0.1);
BOOST_CHECK_CLOSE(sw.GetMinSquaredDist(sw_s), 0.01, 0.1);
BOOST_CHECK_CLOSE(sw.GetMinSquaredDist(sw_e), 0.01, 0.1);
BOOST_CHECK_CLOSE(sw.GetMinSquaredDist(sw_w), 0.01, 0.1);
BOOST_CHECK_CLOSE(sw.GetMinSquaredDist(sw_n), 0.01, 0.1);
Add rectangle unit test
2016-02-23 22:41:43 -05:00
}
BOOST_AUTO_TEST_SUITE_END()
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