Merge branch 'OctTree' of github.com:teamfisk/TacticalZ into OctTree
# Conflicts: # src/Tests/OctTreeTest.cpp
This commit is contained in:
@@ -5,6 +5,9 @@ using boost::unit_test_framework::test_case;
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#include "OctTreeTestGameClass.h"
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//HACK! Needed for white box testing
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//else we would have to "open up" the octTree class more with get/sets, public methods, etc. which is not good encapsulation-wise
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//#include "Engine/Core/OctTree.h"
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#include "Engine/Core/Ray.h"
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#include "OldOctTree.h"
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//friend class and refactoringIntoNewClass is some extra work and needs to be updated when the original class is updated, and can contain bugs that
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//isnt in the original class
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//Reflection-inspection seems to be only available for C#
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@@ -65,4 +68,132 @@ BOOST_AUTO_TEST_CASE(octSameRegionTest)
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BOOST_CHECK_CLOSE_FRACTION(box.HalfSize().z, firstQuadrant.HalfSize().z, 0.00001f);
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}
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const int LEVEL_BOUNDS = 500;
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const int MAXSIZE = 50;
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const int BOXES = 400;
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const int NUM_DYNAMICS = 0;
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const int NUM_STATICS = BOXES - NUM_DYNAMICS;
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const int SEED = 6548;
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const int TEST_FRAMES = 300;
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const int NUM_FUNCTION_LOOPS = 25;
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const int TESTS = 0; //10
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template<typename Tree>
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void RegionTest(Tree& tree)
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{
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AABB aabb;
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aabb.CreateFromCenter(glm::vec3(rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS),
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glm::vec3(rand() % MAXSIZE, rand() % MAXSIZE, rand() % MAXSIZE));
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std::vector<AABB> outVec;
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tree.BoxesInSameRegion(aabb, outVec);
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}
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template<typename Tree>
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void RayTest(Tree& tree)
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{
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Tree::Output data;
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glm::vec3 rayStart = glm::vec3(rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS);
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glm::vec3 rayEnd = glm::vec3(rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS);
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tree.RayCollides({ rayStart , glm::normalize(rayEnd - rayStart) }, data);
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}
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template<typename Tree>
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void BoxTest(Tree& tree)
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{
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AABB outBox;
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AABB aabb;
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aabb.CreateFromCenter(glm::vec3(rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS),
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glm::vec3(rand() % MAXSIZE, rand() % MAXSIZE, rand() % MAXSIZE));
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tree.BoxCollides(aabb, outBox);
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}
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template<typename Tree>
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void NopTest(Tree& tree)
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{
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}
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template<typename Tree, typename TestFunction>
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void TestLoop(TestFunction xTest)
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{
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srand(SEED);
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glm::vec3 mini = glm::vec3(0, 0, 0);
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glm::vec3 maxi = glm::vec3(LEVEL_BOUNDS, LEVEL_BOUNDS, LEVEL_BOUNDS);
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Tree tree(AABB(mini, maxi), 3);
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AABB aabb;
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glm::vec3 center;
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glm::vec3 size;
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for (int t = 0; t < TESTS; ++t) {
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for (int i = 0; i < NUM_STATICS; ++i) {
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center = glm::vec3(rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS);
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size = glm::vec3(rand() % MAXSIZE, rand() % MAXSIZE, rand() % MAXSIZE);
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aabb.CreateFromCenter(center, size);
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tree.AddStaticObject(aabb);
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}
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for (int fr = 0; fr < TEST_FRAMES; ++fr) {
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for (int i = 0; i < NUM_DYNAMICS; ++i) {
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center = glm::vec3(rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS, rand() % LEVEL_BOUNDS);
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size = glm::vec3(rand() % MAXSIZE, rand() % MAXSIZE, rand() % MAXSIZE);
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aabb.CreateFromCenter(center, size);
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tree.AddDynamicObject(aabb);
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}
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for (int fl = 0; fl < NUM_FUNCTION_LOOPS; ++fl) {
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xTest(tree);
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}
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tree.ClearDynamicObjects();
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}
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tree.ClearObjects();
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}
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}
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BOOST_AUTO_TEST_CASE(octRegionPerfTestWithDuplicates)
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{
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TestLoop<Old::OctTree>(RegionTest<Old::OctTree>);
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BOOST_CHECK(true);
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}
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BOOST_AUTO_TEST_CASE(octRegionPerfTestNoDuplicates)
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{
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TestLoop<OctTree>(RegionTest<OctTree>);
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BOOST_CHECK(true);
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}
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BOOST_AUTO_TEST_CASE(octBoxPerfTestWithDuplicates)
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{
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TestLoop<Old::OctTree>(BoxTest<Old::OctTree>);
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BOOST_CHECK(true);
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}
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BOOST_AUTO_TEST_CASE(octBoxPerfTestNoDuplicates)
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{
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TestLoop<OctTree>(BoxTest<OctTree>);
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BOOST_CHECK(true);
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}
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BOOST_AUTO_TEST_CASE(octRayPerfTestWithDuplicates)
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{
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TestLoop<Old::OctTree>(RayTest<Old::OctTree>);
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BOOST_CHECK(true);
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}
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BOOST_AUTO_TEST_CASE(octRayPerfTestNoDuplicates)
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{
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TestLoop<OctTree>(RayTest<OctTree>);
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BOOST_CHECK(true);
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}
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BOOST_AUTO_TEST_CASE(octNopPerfTestWithDuplicates)
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{
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TestLoop<Old::OctTree>(NopTest<Old::OctTree>);
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BOOST_CHECK(true);
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}
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BOOST_AUTO_TEST_CASE(octNopPerfTestNoDuplicates)
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{
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TestLoop<OctTree>(NopTest<OctTree>);
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BOOST_CHECK(true);
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}
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BOOST_AUTO_TEST_SUITE_END()
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