Add test for StaticRTree
This commit is contained in:
Patrick Niklaus
parent
1c80584206
commit
8108ecc4d3
@ -66,7 +66,7 @@ file(GLOB CoordinateGlob DataStructures/Coordinate.cpp)
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file(GLOB AlgorithmGlob Algorithms/*.cpp)
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file(GLOB AlgorithmGlob Algorithms/*.cpp)
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file(GLOB HttpGlob Server/Http/*.cpp)
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file(GLOB HttpGlob Server/Http/*.cpp)
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file(GLOB LibOSRMGlob Library/*.cpp)
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file(GLOB LibOSRMGlob Library/*.cpp)
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file(GLOB DataStructureTestsGlob UnitTests/DataStructures/*.cpp)
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file(GLOB DataStructureTestsGlob UnitTests/DataStructures/*.cpp DataStructures/HilbertValue.cpp)
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set(
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set(
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OSRMSources
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OSRMSources
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@ -196,7 +196,7 @@ target_link_libraries(osrm-extract ${Boost_LIBRARIES} FINGERPRINT GITDESCRIPTION
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target_link_libraries(osrm-prepare ${Boost_LIBRARIES} FINGERPRINT GITDESCRIPTION COORDLIB IMPORT)
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target_link_libraries(osrm-prepare ${Boost_LIBRARIES} FINGERPRINT GITDESCRIPTION COORDLIB IMPORT)
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target_link_libraries(osrm-routed ${Boost_LIBRARIES} ${OPTIONAL_SOCKET_LIBS} OSRM FINGERPRINT GITDESCRIPTION)
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target_link_libraries(osrm-routed ${Boost_LIBRARIES} ${OPTIONAL_SOCKET_LIBS} OSRM FINGERPRINT GITDESCRIPTION)
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target_link_libraries(osrm-datastore ${Boost_LIBRARIES} FINGERPRINT GITDESCRIPTION COORDLIB)
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target_link_libraries(osrm-datastore ${Boost_LIBRARIES} FINGERPRINT GITDESCRIPTION COORDLIB)
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target_link_libraries(datastructure-tests ${Boost_LIBRARIES})
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target_link_libraries(datastructure-tests ${Boost_LIBRARIES} COORDLIB)
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find_package(Threads REQUIRED)
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find_package(Threads REQUIRED)
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target_link_libraries(osrm-extract ${CMAKE_THREAD_LIBS_INIT})
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target_link_libraries(osrm-extract ${CMAKE_THREAD_LIBS_INIT})
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347
UnitTests/DataStructures/StaticRTreeTest.cpp
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347
UnitTests/DataStructures/StaticRTreeTest.cpp
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@ -0,0 +1,347 @@
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#include "../../DataStructures/StaticRTree.h"
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#include "../../DataStructures/QueryNode.h"
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#include "../../DataStructures/EdgeBasedNode.h"
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#include "../../Include/osrm/Coordinate.h"
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#include "../../typedefs.h"
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#include <boost/test/unit_test.hpp>
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#include <boost/test/test_case_template.hpp>
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#include <boost/mpl/list.hpp>
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#include <random>
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#include <unordered_set>
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BOOST_AUTO_TEST_SUITE(static_rtree)
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constexpr uint32_t TEST_BRANCHING_FACTOR = 8;
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constexpr uint32_t TEST_LEAF_NODE_SIZE = 64;
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typedef EdgeBasedNode TestData;
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typedef StaticRTree<TestData,
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std::vector<FixedPointCoordinate>,
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false,
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TEST_BRANCHING_FACTOR,
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TEST_LEAF_NODE_SIZE>
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TestStaticRTree;
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// Choosen by a fair W20 dice roll (this value is completely arbitrary)
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constexpr unsigned RANDOM_SEED = 15;
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constexpr int32_t WORLD_MIN_LAT = -90*COORDINATE_PRECISION;
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constexpr int32_t WORLD_MAX_LAT = 90*COORDINATE_PRECISION;
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constexpr int32_t WORLD_MIN_LON = -180*COORDINATE_PRECISION;
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constexpr int32_t WORLD_MAX_LON = 180*COORDINATE_PRECISION;
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class LinearSearchNN
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{
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public:
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LinearSearchNN(const std::shared_ptr<std::vector<FixedPointCoordinate>>& coords,
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const std::vector<TestData>& edges)
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: coords(coords)
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, edges(edges)
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{ }
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bool LocateClosestEndPointForCoordinate(const FixedPointCoordinate &input_coordinate,
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FixedPointCoordinate &result_coordinate,
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const unsigned zoom_level)
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{
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bool ignore_tiny_components = (zoom_level <= 14);
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float min_dist = std::numeric_limits<float>::max();
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FixedPointCoordinate min_coord;
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for (const TestData& e : edges)
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{
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if (ignore_tiny_components && e.is_in_tiny_cc)
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continue;
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const FixedPointCoordinate& start = coords->at(e.u);
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const FixedPointCoordinate& end = coords->at(e.v);
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float distance = FixedPointCoordinate::ApproximateEuclideanDistance(
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input_coordinate.lat,
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input_coordinate.lon,
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start.lat,
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start.lon);
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if (distance < min_dist)
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{
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min_coord = start;
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min_dist = distance;
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}
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distance = FixedPointCoordinate::ApproximateEuclideanDistance(
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input_coordinate.lat,
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input_coordinate.lon,
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end.lat,
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end.lon);
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if (distance < min_dist)
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{
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min_coord = end;
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min_dist = distance;
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}
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}
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result_coordinate = min_coord;
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return result_coordinate.isValid();
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}
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bool FindPhantomNodeForCoordinate(const FixedPointCoordinate &input_coordinate,
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PhantomNode &result_phantom_node,
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const unsigned zoom_level)
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{
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bool ignore_tiny_components = (zoom_level <= 14);
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float min_dist = std::numeric_limits<float>::max();
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TestData nearest_edge;
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for (const TestData& e : edges)
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{
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if (ignore_tiny_components && e.is_in_tiny_cc)
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continue;
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float current_ratio = 0.;
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FixedPointCoordinate nearest;
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const float current_perpendicular_distance =
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FixedPointCoordinate::ComputePerpendicularDistance(
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coords->at(e.u),
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coords->at(e.v),
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input_coordinate,
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nearest,
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current_ratio);
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if ((current_perpendicular_distance < min_dist) &&
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!EpsilonCompare(current_perpendicular_distance, min_dist))
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{ // found a new minimum
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min_dist = current_perpendicular_distance;
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result_phantom_node = { e.forward_edge_based_node_id,
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e.reverse_edge_based_node_id,
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e.name_id,
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e.forward_weight,
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e.reverse_weight,
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e.forward_offset,
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e.reverse_offset,
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e.packed_geometry_id,
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nearest,
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e.fwd_segment_position};
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nearest_edge = e;
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}
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}
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if (result_phantom_node.location.isValid())
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{
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// Hack to fix rounding errors and wandering via nodes.
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if (1 == std::abs(input_coordinate.lon - result_phantom_node.location.lon))
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{
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result_phantom_node.location.lon = input_coordinate.lon;
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}
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if (1 == std::abs(input_coordinate.lat - result_phantom_node.location.lat))
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{
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result_phantom_node.location.lat = input_coordinate.lat;
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}
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const float distance_1 = FixedPointCoordinate::ApproximateEuclideanDistance(
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coords->at(nearest_edge.u),
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result_phantom_node.location);
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const float distance_2 = FixedPointCoordinate::ApproximateEuclideanDistance(
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coords->at(nearest_edge.u),
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coords->at(nearest_edge.v));
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const float ratio = std::min(1.f, distance_1 / distance_2);
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if (SPECIAL_NODEID != result_phantom_node.forward_node_id)
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{
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result_phantom_node.forward_weight *= ratio;
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}
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if (SPECIAL_NODEID != result_phantom_node.reverse_node_id)
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{
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result_phantom_node.reverse_weight *= (1. - ratio);
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}
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}
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return result_phantom_node.location.isValid();
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}
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template<typename FloatT>
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inline bool EpsilonCompare(const FloatT d1, const FloatT d2) const
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{
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return (std::abs(d1 - d2) < std::numeric_limits<FloatT>::epsilon());
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}
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private:
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const std::shared_ptr<std::vector<FixedPointCoordinate>>& coords;
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const std::vector<TestData>& edges;
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};
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template<unsigned NUM_NODES, unsigned NUM_EDGES,
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int32_t MIN_LON=WORLD_MIN_LON,
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int32_t MAX_LON=WORLD_MAX_LON,
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int32_t MIN_LAT=WORLD_MIN_LAT,
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int32_t MAX_LAT=WORLD_MAX_LAT>
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struct RandomGraphFixture
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{
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struct TupleHash
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{
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typedef std::pair<unsigned, unsigned> argument_type;
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typedef std::size_t result_type;
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result_type operator()(const argument_type & t) const
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{
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std::size_t val { 0 };
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boost::hash_combine(val, t.first);
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boost::hash_combine(val, t.second);
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return val;
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}
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};
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RandomGraphFixture()
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: coords(std::make_shared<std::vector<FixedPointCoordinate>>())
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{
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BOOST_TEST_MESSAGE("Constructing " << NUM_NODES << " nodes and " << NUM_EDGES << " edges.");
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std::mt19937 g(RANDOM_SEED);
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std::uniform_int_distribution<> lat_udist(MIN_LAT, MAX_LAT);
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std::uniform_int_distribution<> lon_udist(MIN_LON, MAX_LON);
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for (unsigned i = 0; i < NUM_NODES; i++)
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{
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int lat = lat_udist(g);
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int lon = lon_udist(g);
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nodes.emplace_back(NodeInfo(lat, lon, i));
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coords->emplace_back(FixedPointCoordinate(lat, lon));
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}
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std::uniform_int_distribution<> edge_udist(0, nodes.size() - 1);
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std::unordered_set<std::pair<unsigned, unsigned>, TupleHash> used_edges;
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while(edges.size() < NUM_EDGES)
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{
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TestData data;
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data.u = edge_udist(g);
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data.v = edge_udist(g);
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if (used_edges.find(std::pair<unsigned, unsigned>(std::min(data.u, data.v), std::max(data.u, data.v))) == used_edges.end())
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{
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data.is_in_tiny_cc = false;
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edges.emplace_back(data);
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used_edges.emplace(std::min(data.u, data.v), std::max(data.u, data.v));
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}
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}
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}
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std::vector<NodeInfo> nodes;
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std::shared_ptr<std::vector<FixedPointCoordinate>> coords;
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std::vector<TestData> edges;
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};
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typedef RandomGraphFixture<TEST_LEAF_NODE_SIZE*3, TEST_LEAF_NODE_SIZE/2> TestRandomGraphFixture_LeafHalfFull;
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typedef RandomGraphFixture<TEST_LEAF_NODE_SIZE*5, TEST_LEAF_NODE_SIZE> TestRandomGraphFixture_LeafFull;
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typedef RandomGraphFixture<TEST_LEAF_NODE_SIZE*10, TEST_LEAF_NODE_SIZE*2> TestRandomGraphFixture_TwoLeaves;
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typedef RandomGraphFixture<TEST_LEAF_NODE_SIZE*TEST_BRANCHING_FACTOR*3,
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TEST_LEAF_NODE_SIZE*TEST_BRANCHING_FACTOR> TestRandomGraphFixture_Branch;
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typedef RandomGraphFixture<TEST_LEAF_NODE_SIZE*TEST_BRANCHING_FACTOR*3,
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TEST_LEAF_NODE_SIZE*TEST_BRANCHING_FACTOR*2> TestRandomGraphFixture_MultipleLevels;
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void simple_verify_rtree(TestStaticRTree& rtree, const std::shared_ptr<std::vector<FixedPointCoordinate>>& coords, const std::vector<TestData>& edges)
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{
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BOOST_TEST_MESSAGE("Verify end points");
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for (const auto& e : edges)
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{
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FixedPointCoordinate result_u, result_v;
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const FixedPointCoordinate& pu = coords->at(e.u);
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const FixedPointCoordinate& pv = coords->at(e.v);
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bool found_u = rtree.LocateClosestEndPointForCoordinate(pu, result_u, 1);
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bool found_v = rtree.LocateClosestEndPointForCoordinate(pv, result_v, 1);
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BOOST_CHECK(found_u && found_v);
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float dist_u = FixedPointCoordinate::ApproximateEuclideanDistance(
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result_u.lat,
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result_u.lon,
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pu.lat,
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pu.lon);
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BOOST_CHECK_LE(dist_u, std::numeric_limits<float>::epsilon());
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float dist_v = FixedPointCoordinate::ApproximateEuclideanDistance(
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result_v.lat,
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result_v.lon,
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pv.lat,
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pv.lon);
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BOOST_CHECK_LE(dist_v, std::numeric_limits<float>::epsilon());
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}
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}
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void sampling_verify_rtree(TestStaticRTree& rtree, LinearSearchNN& lsnn, unsigned num_samples)
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{
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std::mt19937 g(RANDOM_SEED);
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std::uniform_int_distribution<> lat_udist(WORLD_MIN_LAT, WORLD_MAX_LAT);
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std::uniform_int_distribution<> lon_udist(WORLD_MIN_LON, WORLD_MAX_LON);
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std::vector<FixedPointCoordinate> queries;
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for (unsigned i = 0; i < num_samples; i++)
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{
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queries.emplace_back(
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FixedPointCoordinate(lat_udist(g), lon_udist(g))
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);
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}
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BOOST_TEST_MESSAGE("Sampling queries");
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for (const auto& q : queries)
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{
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FixedPointCoordinate result_rtree;
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rtree.LocateClosestEndPointForCoordinate(q, result_rtree, 1);
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FixedPointCoordinate result_ln;
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lsnn.LocateClosestEndPointForCoordinate(q, result_ln, 1);
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BOOST_CHECK_EQUAL(result_ln, result_rtree);
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PhantomNode phantom_rtree;
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rtree.FindPhantomNodeForCoordinate(q, phantom_rtree, 1);
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PhantomNode phantom_ln;
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lsnn.FindPhantomNodeForCoordinate(q, phantom_ln, 1);
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BOOST_CHECK_EQUAL(phantom_rtree, phantom_ln);
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}
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}
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template<typename FixtureT>
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void construction_test(const std::string& prefix, FixtureT* fixture)
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{
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const std::string nodes_path = prefix + ".ramIndex";
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const std::string leaves_path = prefix + ".fileIndex";
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const std::string coords_path = prefix + ".nodes";
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boost::filesystem::ofstream node_stream(coords_path, std::ios::binary);
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const unsigned num_nodes = fixture->nodes.size();
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node_stream.write((char *)&num_nodes, sizeof(unsigned));
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node_stream.write((char *)&(fixture->nodes[0]), num_nodes * sizeof(NodeInfo));
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node_stream.close();
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TestStaticRTree::Build(fixture->edges, nodes_path, leaves_path, fixture->nodes);
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TestStaticRTree rtree_querry(nodes_path, leaves_path, fixture->coords);
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LinearSearchNN lsnn(fixture->coords, fixture->edges);
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simple_verify_rtree(rtree_querry, fixture->coords, fixture->edges);
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sampling_verify_rtree(rtree_querry, lsnn, 100);
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}
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BOOST_FIXTURE_TEST_CASE(construct_half_leaf_test, TestRandomGraphFixture_LeafHalfFull)
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{
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construction_test("test_1", this);
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}
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BOOST_FIXTURE_TEST_CASE(construct_full_leaf_test, TestRandomGraphFixture_LeafFull)
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{
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construction_test("test_2", this);
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}
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|
BOOST_FIXTURE_TEST_CASE(construct_two_leaves_test, TestRandomGraphFixture_TwoLeaves)
|
||||||
|
{
|
||||||
|
construction_test("test_3", this);
|
||||||
|
}
|
||||||
|
|
||||||
|
BOOST_FIXTURE_TEST_CASE(construct_branch_test, TestRandomGraphFixture_Branch)
|
||||||
|
{
|
||||||
|
construction_test("test_4", this);
|
||||||
|
}
|
||||||
|
|
||||||
|
BOOST_FIXTURE_TEST_CASE(construct_multiple_levels_test, TestRandomGraphFixture_MultipleLevels)
|
||||||
|
{
|
||||||
|
construction_test("test_5", this);
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
BOOST_AUTO_TEST_SUITE_END()
|
||||||
|
|
||||||
Loading…
Reference in New Issue
Block a user