// // Created by Orange on 04/08/2026. // #include #include #include #include #include using Aabb = omath::primitives::Aabb; using BvhTree = omath::collision::BvhTree; using Ray = omath::collision::Ray<>; using HitResult = BvhTree::HitResult; using AabbD = omath::primitives::Aabb; using BvhTreeD = omath::collision::BvhTree; // ============================================================================ // Helper: brute-force overlap query for verification // ============================================================================ static std::set brute_force_overlaps(const std::vector& aabbs, const Aabb& query) { std::set result; for (std::size_t i = 0; i < aabbs.size(); ++i) { if (query.min.x <= aabbs[i].max.x && query.max.x >= aabbs[i].min.x && query.min.y <= aabbs[i].max.y && query.max.y >= aabbs[i].min.y && query.min.z <= aabbs[i].max.z && query.max.z >= aabbs[i].min.z) result.insert(i); } return result; } // ============================================================================ // Construction tests // ============================================================================ TEST(UnitTestBvhTree, EmptyTree) { const BvhTree tree; EXPECT_TRUE(tree.empty()); EXPECT_EQ(tree.node_count(), 0); EXPECT_TRUE(tree.query_overlaps({}).empty()); } TEST(UnitTestBvhTree, EmptySpan) { const std::vector empty; const BvhTree tree(empty); EXPECT_TRUE(tree.empty()); EXPECT_EQ(tree.node_count(), 0); } TEST(UnitTestBvhTree, SingleElement) { const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}} }; const BvhTree tree(aabbs); EXPECT_FALSE(tree.empty()); EXPECT_EQ(tree.node_count(), 1); const auto results = tree.query_overlaps({{0.5f, 0.5f, 0.5f}, {1.5f, 1.5f, 1.5f}}); ASSERT_EQ(results.size(), 1); EXPECT_EQ(results[0], 0); const auto miss = tree.query_overlaps({{5.f, 5.f, 5.f}, {6.f, 6.f, 6.f}}); EXPECT_TRUE(miss.empty()); } TEST(UnitTestBvhTree, TwoElements) { const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, {{5.f, 5.f, 5.f}, {6.f, 6.f, 6.f}}, }; const BvhTree tree(aabbs); EXPECT_FALSE(tree.empty()); // Hit first only auto r = tree.query_overlaps({{-0.5f, -0.5f, -0.5f}, {0.5f, 0.5f, 0.5f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 0); // Hit second only r = tree.query_overlaps({{5.5f, 5.5f, 5.5f}, {7.f, 7.f, 7.f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 1); // Hit both r = tree.query_overlaps({{-1.f, -1.f, -1.f}, {10.f, 10.f, 10.f}}); EXPECT_EQ(r.size(), 2); } TEST(UnitTestBvhTree, ThreeElements) { const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, {{2.f, 2.f, 2.f}, {3.f, 3.f, 3.f}}, {{10.f, 10.f, 10.f}, {11.f, 11.f, 11.f}}, }; const BvhTree tree(aabbs); const auto results = tree.query_overlaps({{0.5f, 0.5f, 0.5f}, {2.5f, 2.5f, 2.5f}}); EXPECT_EQ(results.size(), 2); const auto far = tree.query_overlaps({{9.5f, 9.5f, 9.5f}, {10.5f, 10.5f, 10.5f}}); ASSERT_EQ(far.size(), 1); EXPECT_EQ(far[0], 2); } TEST(UnitTestBvhTree, NodeCountGrowsSublinearly) { // For N objects, node count should be at most 2N-1 std::vector aabbs; for (int i = 0; i < 100; ++i) { const auto f = static_cast(i) * 3.f; aabbs.push_back({{f, 0.f, 0.f}, {f + 1.f, 1.f, 1.f}}); } const BvhTree tree(aabbs); EXPECT_LE(tree.node_count(), 2 * aabbs.size()); } // ============================================================================ // Overlap query tests // ============================================================================ TEST(UnitTestBvhTree, OverlapExactTouch) { // Two boxes share exactly one face const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, {{1.f, 0.f, 0.f}, {2.f, 1.f, 1.f}}, }; const BvhTree tree(aabbs); // Query exactly at the shared face — should overlap both const auto r = tree.query_overlaps({{0.5f, 0.f, 0.f}, {1.5f, 1.f, 1.f}}); EXPECT_EQ(r.size(), 2); } TEST(UnitTestBvhTree, OverlapEdgeTouch) { // Query AABB edge-touches an object AABB const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, }; const BvhTree tree(aabbs); // Touching at corner point (1,1,1) const auto r = tree.query_overlaps({{1.f, 1.f, 1.f}, {2.f, 2.f, 2.f}}); EXPECT_EQ(r.size(), 1); } TEST(UnitTestBvhTree, OverlapQueryInsideObject) { // Query is fully inside an object const std::vector aabbs = { {{-10.f, -10.f, -10.f}, {10.f, 10.f, 10.f}}, }; const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{-1.f, -1.f, -1.f}, {1.f, 1.f, 1.f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 0); } TEST(UnitTestBvhTree, OverlapObjectInsideQuery) { // Object is fully inside the query const std::vector aabbs = { {{4.f, 4.f, 4.f}, {5.f, 5.f, 5.f}}, }; const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{0.f, 0.f, 0.f}, {10.f, 10.f, 10.f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 0); } TEST(UnitTestBvhTree, OverlapMissOnSingleAxis) { // Overlap on X and Y but not Z const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, }; const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{0.f, 0.f, 5.f}, {1.f, 1.f, 6.f}}); EXPECT_TRUE(r.empty()); } TEST(UnitTestBvhTree, OverlapNegativeCoordinates) { const std::vector aabbs = { {{-5.f, -5.f, -5.f}, {-3.f, -3.f, -3.f}}, {{-2.f, -2.f, -2.f}, {0.f, 0.f, 0.f}}, {{1.f, 1.f, 1.f}, {3.f, 3.f, 3.f}}, }; const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{-6.f, -6.f, -6.f}, {-4.f, -4.f, -4.f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 0); } TEST(UnitTestBvhTree, OverlapMixedNegativePositive) { const std::vector aabbs = { {{-1.f, -1.f, -1.f}, {1.f, 1.f, 1.f}}, }; const BvhTree tree(aabbs); // Query spans negative and positive const auto r = tree.query_overlaps({{-0.5f, -0.5f, -0.5f}, {0.5f, 0.5f, 0.5f}}); ASSERT_EQ(r.size(), 1); } TEST(UnitTestBvhTree, OverlapNoHitsAmongMany) { std::vector aabbs; for (int i = 0; i < 50; ++i) { const auto f = static_cast(i) * 5.f; aabbs.push_back({{f, 0.f, 0.f}, {f + 1.f, 1.f, 1.f}}); } const BvhTree tree(aabbs); // Query far from all objects const auto r = tree.query_overlaps({{-100.f, -100.f, -100.f}, {-90.f, -90.f, -90.f}}); EXPECT_TRUE(r.empty()); } TEST(UnitTestBvhTree, OverlapAllObjects) { std::vector aabbs; for (int i = 0; i < 64; ++i) { const auto f = static_cast(i); aabbs.push_back({{f, f, f}, {f + 0.5f, f + 0.5f, f + 0.5f}}); } const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{-1.f, -1.f, -1.f}, {100.f, 100.f, 100.f}}); EXPECT_EQ(r.size(), 64); } TEST(UnitTestBvhTree, OverlapReturnsCorrectIndices) { // Specific index verification const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, // 0 {{10.f, 0.f, 0.f}, {11.f, 1.f, 1.f}}, // 1 {{20.f, 0.f, 0.f}, {21.f, 1.f, 1.f}}, // 2 {{30.f, 0.f, 0.f}, {31.f, 1.f, 1.f}}, // 3 {{40.f, 0.f, 0.f}, {41.f, 1.f, 1.f}}, // 4 }; const BvhTree tree(aabbs); // Hit only index 2 auto r = tree.query_overlaps({{19.5f, -1.f, -1.f}, {20.5f, 2.f, 2.f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 2); // Hit only index 4 r = tree.query_overlaps({{39.5f, -1.f, -1.f}, {40.5f, 2.f, 2.f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 4); } // ============================================================================ // Spatial distribution tests // ============================================================================ TEST(UnitTestBvhTree, ObjectsAlongXAxis) { // All objects on a line along X std::vector aabbs; for (int i = 0; i < 20; ++i) { const auto f = static_cast(i) * 4.f; aabbs.push_back({{f, 0.f, 0.f}, {f + 1.f, 1.f, 1.f}}); } const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}); EXPECT_EQ(r.size(), 1); const auto mid = tree.query_overlaps({{7.5f, -1.f, -1.f}, {8.5f, 2.f, 2.f}}); EXPECT_EQ(mid.size(), 1); } TEST(UnitTestBvhTree, ObjectsAlongYAxis) { std::vector aabbs; for (int i = 0; i < 20; ++i) { const auto f = static_cast(i) * 4.f; aabbs.push_back({{0.f, f, 0.f}, {1.f, f + 1.f, 1.f}}); } const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{-1.f, 38.f, -1.f}, {2.f, 40.f, 2.f}}); EXPECT_EQ(r.size(), 1); } TEST(UnitTestBvhTree, ObjectsAlongZAxis) { std::vector aabbs; for (int i = 0; i < 20; ++i) { const auto f = static_cast(i) * 4.f; aabbs.push_back({{0.f, 0.f, f}, {1.f, 1.f, f + 1.f}}); } const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{-1.f, -1.f, 38.f}, {2.f, 2.f, 40.f}}); EXPECT_EQ(r.size(), 1); } TEST(UnitTestBvhTree, ObjectsInPlaneXY) { // Grid in the XY plane std::vector aabbs; for (int x = 0; x < 10; ++x) for (int y = 0; y < 10; ++y) { const auto fx = static_cast(x) * 3.f; const auto fy = static_cast(y) * 3.f; aabbs.push_back({{fx, fy, 0.f}, {fx + 1.f, fy + 1.f, 1.f}}); } const BvhTree tree(aabbs); EXPECT_EQ(tree.query_overlaps({{-1.f, -1.f, -1.f}, {100.f, 100.f, 2.f}}).size(), 100); // Single cell query const auto r = tree.query_overlaps({{0.f, 0.f, 0.f}, {0.5f, 0.5f, 0.5f}}); EXPECT_EQ(r.size(), 1); } TEST(UnitTestBvhTree, ClusteredObjects) { // Two clusters far apart std::vector aabbs; for (int i = 0; i < 25; ++i) { const auto f = static_cast(i) * 0.5f; aabbs.push_back({{f, f, f}, {f + 0.4f, f + 0.4f, f + 0.4f}}); } for (int i = 0; i < 25; ++i) { const auto f = 100.f + static_cast(i) * 0.5f; aabbs.push_back({{f, f, f}, {f + 0.4f, f + 0.4f, f + 0.4f}}); } const BvhTree tree(aabbs); // Query near first cluster const auto r1 = tree.query_overlaps({{-1.f, -1.f, -1.f}, {15.f, 15.f, 15.f}}); EXPECT_EQ(r1.size(), 25); // Query near second cluster const auto r2 = tree.query_overlaps({{99.f, 99.f, 99.f}, {115.f, 115.f, 115.f}}); EXPECT_EQ(r2.size(), 25); // Query between clusters — should find nothing const auto gap = tree.query_overlaps({{50.f, 50.f, 50.f}, {60.f, 60.f, 60.f}}); EXPECT_TRUE(gap.empty()); } TEST(UnitTestBvhTree, OverlappingObjects) { // Objects that overlap each other const std::vector aabbs = { {{0.f, 0.f, 0.f}, {2.f, 2.f, 2.f}}, {{1.f, 1.f, 1.f}, {3.f, 3.f, 3.f}}, {{1.5f, 1.5f, 1.5f}, {4.f, 4.f, 4.f}}, }; const BvhTree tree(aabbs); // Query at the overlap region of all three const auto r = tree.query_overlaps({{1.5f, 1.5f, 1.5f}, {2.f, 2.f, 2.f}}); EXPECT_EQ(r.size(), 3); } TEST(UnitTestBvhTree, IdenticalObjects) { // All objects at the same position std::vector aabbs; for (int i = 0; i < 10; ++i) aabbs.push_back({{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}); const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}); EXPECT_EQ(r.size(), 10); } TEST(UnitTestBvhTree, DegenerateThickPlanes) { // Very flat AABBs (thickness ~0 in one axis) const std::vector aabbs = { {{0.f, 0.f, 0.f}, {10.f, 10.f, 0.001f}}, {{0.f, 0.f, 5.f}, {10.f, 10.f, 5.001f}}, }; const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{0.f, 0.f, -0.01f}, {10.f, 10.f, 0.01f}}); ASSERT_EQ(r.size(), 1); } TEST(UnitTestBvhTree, VaryingSizes) { // Objects of wildly different sizes const std::vector aabbs = { {{0.f, 0.f, 0.f}, {0.01f, 0.01f, 0.01f}}, // tiny {{-500.f, -500.f, -500.f}, {500.f, 500.f, 500.f}}, // huge {{10.f, 10.f, 10.f}, {11.f, 11.f, 11.f}}, // normal }; const BvhTree tree(aabbs); // The huge box should overlap almost any query auto r = tree.query_overlaps({{200.f, 200.f, 200.f}, {201.f, 201.f, 201.f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 1); // Query at origin hits the tiny and the huge r = tree.query_overlaps({{-0.1f, -0.1f, -0.1f}, {0.1f, 0.1f, 0.1f}}); EXPECT_EQ(r.size(), 2); } // ============================================================================ // Ray query tests // ============================================================================ TEST(UnitTestBvhTree, RayQueryBasic) { const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, {{5.f, 0.f, 0.f}, {6.f, 1.f, 1.f}}, {{0.f, 5.f, 0.f}, {1.f, 6.f, 1.f}}, }; const BvhTree tree(aabbs); Ray ray; ray.start = {-1.f, 0.5f, 0.5f}; ray.end = {10.f, 0.5f, 0.5f}; ray.infinite_length = true; const auto hits = tree.query_ray(ray); EXPECT_GE(hits.size(), 2); if (hits.size() >= 2) EXPECT_LE(hits[0].distance_sqr, hits[1].distance_sqr); } TEST(UnitTestBvhTree, RayQueryMissesAll) { const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, {{5.f, 0.f, 0.f}, {6.f, 1.f, 1.f}}, }; const BvhTree tree(aabbs); // Ray above everything Ray ray; ray.start = {-1.f, 100.f, 0.5f}; ray.end = {10.f, 100.f, 0.5f}; ray.infinite_length = true; const auto hits = tree.query_ray(ray); EXPECT_TRUE(hits.empty()); } TEST(UnitTestBvhTree, RayQueryAlongY) { const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, {{0.f, 5.f, 0.f}, {1.f, 6.f, 1.f}}, {{0.f, 10.f, 0.f}, {1.f, 11.f, 1.f}}, }; const BvhTree tree(aabbs); Ray ray; ray.start = {0.5f, -1.f, 0.5f}; ray.end = {0.5f, 20.f, 0.5f}; ray.infinite_length = true; const auto hits = tree.query_ray(ray); EXPECT_EQ(hits.size(), 3); // Verify sorted by distance for (std::size_t i = 1; i < hits.size(); ++i) EXPECT_LE(hits[i - 1].distance_sqr, hits[i].distance_sqr); } TEST(UnitTestBvhTree, RayQueryAlongZ) { const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, {{0.f, 0.f, 10.f}, {1.f, 1.f, 11.f}}, }; const BvhTree tree(aabbs); Ray ray; ray.start = {0.5f, 0.5f, -5.f}; ray.end = {0.5f, 0.5f, 20.f}; ray.infinite_length = true; const auto hits = tree.query_ray(ray); EXPECT_EQ(hits.size(), 2); } TEST(UnitTestBvhTree, RayQueryDiagonal) { const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, {{5.f, 5.f, 5.f}, {6.f, 6.f, 6.f}}, {{10.f, 10.f, 10.f}, {11.f, 11.f, 11.f}}, }; const BvhTree tree(aabbs); // Diagonal ray through all three Ray ray; ray.start = {-1.f, -1.f, -1.f}; ray.end = {15.f, 15.f, 15.f}; ray.infinite_length = true; const auto hits = tree.query_ray(ray); EXPECT_EQ(hits.size(), 3); } TEST(UnitTestBvhTree, RayQueryOnEmptyTree) { const BvhTree tree; Ray ray; ray.start = {0.f, 0.f, 0.f}; ray.end = {10.f, 0.f, 0.f}; ray.infinite_length = true; const auto hits = tree.query_ray(ray); EXPECT_TRUE(hits.empty()); } TEST(UnitTestBvhTree, RayQuerySortedByDistance) { // Many boxes along a line std::vector aabbs; for (int i = 0; i < 20; ++i) { const auto f = static_cast(i) * 3.f; aabbs.push_back({{f, 0.f, 0.f}, {f + 1.f, 1.f, 1.f}}); } const BvhTree tree(aabbs); Ray ray; ray.start = {-1.f, 0.5f, 0.5f}; ray.end = {100.f, 0.5f, 0.5f}; ray.infinite_length = true; const auto hits = tree.query_ray(ray); EXPECT_EQ(hits.size(), 20); for (std::size_t i = 1; i < hits.size(); ++i) EXPECT_LE(hits[i - 1].distance_sqr, hits[i].distance_sqr); } // ============================================================================ // Brute-force verification tests // ============================================================================ TEST(UnitTestBvhTree, BruteForceVerificationGrid) { std::vector aabbs; for (int x = 0; x < 10; ++x) for (int y = 0; y < 10; ++y) for (int z = 0; z < 10; ++z) { const auto fx = static_cast(x) * 3.f; const auto fy = static_cast(y) * 3.f; const auto fz = static_cast(z) * 3.f; aabbs.push_back({{fx, fy, fz}, {fx + 1.f, fy + 1.f, fz + 1.f}}); } const BvhTree tree(aabbs); // Test several queries and compare to brute force const std::vector queries = { {{0.f, 0.f, 0.f}, {1.5f, 1.5f, 1.5f}}, {{-1.f, -1.f, -1.f}, {100.f, 100.f, 100.f}}, {{13.f, 13.f, 13.f}, {14.f, 14.f, 14.f}}, {{-50.f, -50.f, -50.f}, {-40.f, -40.f, -40.f}}, {{5.5f, 5.5f, 5.5f}, {7.5f, 7.5f, 7.5f}}, }; for (const auto& q : queries) { const auto bvh_results = tree.query_overlaps(q); const auto brute_results = brute_force_overlaps(aabbs, q); const std::set bvh_set(bvh_results.begin(), bvh_results.end()); EXPECT_EQ(bvh_set, brute_results) << "Mismatch for query [(" << q.min.x << "," << q.min.y << "," << q.min.z << ") -> (" << q.max.x << "," << q.max.y << "," << q.max.z << ")]"; } } TEST(UnitTestBvhTree, BruteForceVerificationRandom) { std::mt19937 rng(42); std::uniform_real_distribution pos_dist(-50.f, 50.f); std::uniform_real_distribution size_dist(0.5f, 3.f); std::vector aabbs; for (int i = 0; i < 200; ++i) { const auto x = pos_dist(rng); const auto y = pos_dist(rng); const auto z = pos_dist(rng); const auto sx = size_dist(rng); const auto sy = size_dist(rng); const auto sz = size_dist(rng); aabbs.push_back({{x, y, z}, {x + sx, y + sy, z + sz}}); } const BvhTree tree(aabbs); // Run 50 random queries for (int i = 0; i < 50; ++i) { const auto qx = pos_dist(rng); const auto qy = pos_dist(rng); const auto qz = pos_dist(rng); const auto qsx = size_dist(rng); const auto qsy = size_dist(rng); const auto qsz = size_dist(rng); const Aabb query = {{qx, qy, qz}, {qx + qsx, qy + qsy, qz + qsz}}; const auto bvh_results = tree.query_overlaps(query); const auto brute_results = brute_force_overlaps(aabbs, query); const std::set bvh_set(bvh_results.begin(), bvh_results.end()); EXPECT_EQ(bvh_set, brute_results) << "Mismatch on random query iteration " << i; } } // ============================================================================ // Large dataset tests // ============================================================================ TEST(UnitTestBvhTree, LargeGridDataset) { std::vector aabbs; for (int x = 0; x < 10; ++x) for (int y = 0; y < 10; ++y) for (int z = 0; z < 10; ++z) { const auto fx = static_cast(x) * 3.f; const auto fy = static_cast(y) * 3.f; const auto fz = static_cast(z) * 3.f; aabbs.push_back({{fx, fy, fz}, {fx + 1.f, fy + 1.f, fz + 1.f}}); } const BvhTree tree(aabbs); EXPECT_FALSE(tree.empty()); const auto results = tree.query_overlaps({{0.f, 0.f, 0.f}, {1.5f, 1.5f, 1.5f}}); EXPECT_EQ(results.size(), 1); const auto all_results = tree.query_overlaps({{-1.f, -1.f, -1.f}, {100.f, 100.f, 100.f}}); EXPECT_EQ(all_results.size(), 1000); } TEST(UnitTestBvhTree, FiveThousandObjects) { std::vector aabbs; for (int i = 0; i < 5000; ++i) { const auto f = static_cast(i) * 2.f; aabbs.push_back({{f, 0.f, 0.f}, {f + 1.f, 1.f, 1.f}}); } const BvhTree tree(aabbs); EXPECT_FALSE(tree.empty()); // Query that should hit exactly 1 const auto r = tree.query_overlaps({{0.f, 0.f, 0.f}, {0.5f, 0.5f, 0.5f}}); EXPECT_EQ(r.size(), 1); // Query that misses const auto miss = tree.query_overlaps({{-100.f, -100.f, -100.f}, {-90.f, -90.f, -90.f}}); EXPECT_TRUE(miss.empty()); } // ============================================================================ // Double precision tests // ============================================================================ TEST(UnitTestBvhTree, DoublePrecision) { const std::vector aabbs = { {{0.0, 0.0, 0.0}, {1.0, 1.0, 1.0}}, {{5.0, 5.0, 5.0}, {6.0, 6.0, 6.0}}, {{10.0, 10.0, 10.0}, {11.0, 11.0, 11.0}}, }; const BvhTreeD tree(aabbs); EXPECT_FALSE(tree.empty()); const auto r = tree.query_overlaps({{0.5, 0.5, 0.5}, {1.5, 1.5, 1.5}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 0); const auto r2 = tree.query_overlaps({{4.5, 4.5, 4.5}, {5.5, 5.5, 5.5}}); ASSERT_EQ(r2.size(), 1); EXPECT_EQ(r2[0], 1); } TEST(UnitTestBvhTree, DoublePrecisionLargeCoordinates) { const std::vector aabbs = { {{1e10, 1e10, 1e10}, {1e10 + 1.0, 1e10 + 1.0, 1e10 + 1.0}}, {{-1e10, -1e10, -1e10}, {-1e10 + 1.0, -1e10 + 1.0, -1e10 + 1.0}}, }; const BvhTreeD tree(aabbs); const auto r = tree.query_overlaps({{1e10 - 0.5, 1e10 - 0.5, 1e10 - 0.5}, {1e10 + 0.5, 1e10 + 0.5, 1e10 + 0.5}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 0); } // ============================================================================ // Edge case tests // ============================================================================ TEST(UnitTestBvhTree, ZeroSizeQuery) { const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, }; const BvhTree tree(aabbs); // Point query inside the box const auto r = tree.query_overlaps({{0.5f, 0.5f, 0.5f}, {0.5f, 0.5f, 0.5f}}); EXPECT_EQ(r.size(), 1); // Point query outside the box const auto miss = tree.query_overlaps({{5.f, 5.f, 5.f}, {5.f, 5.f, 5.f}}); EXPECT_TRUE(miss.empty()); } TEST(UnitTestBvhTree, ZeroSizeObjects) { // Point-like AABBs const std::vector aabbs = { {{1.f, 1.f, 1.f}, {1.f, 1.f, 1.f}}, {{5.f, 5.f, 5.f}, {5.f, 5.f, 5.f}}, }; const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{0.f, 0.f, 0.f}, {2.f, 2.f, 2.f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 0); } TEST(UnitTestBvhTree, NoDuplicateResults) { std::vector aabbs; for (int i = 0; i < 50; ++i) { const auto f = static_cast(i) * 2.f; aabbs.push_back({{f, 0.f, 0.f}, {f + 1.f, 1.f, 1.f}}); } const BvhTree tree(aabbs); const auto r = tree.query_overlaps({{-1.f, -1.f, -1.f}, {200.f, 2.f, 2.f}}); // Check for duplicates const std::set unique_results(r.begin(), r.end()); EXPECT_EQ(unique_results.size(), r.size()); EXPECT_EQ(r.size(), 50); } TEST(UnitTestBvhTree, LargeSpread) { // Objects with huge gaps between them const std::vector aabbs = { {{0.f, 0.f, 0.f}, {1.f, 1.f, 1.f}}, {{1000.f, 0.f, 0.f}, {1001.f, 1.f, 1.f}}, {{-1000.f, 0.f, 0.f}, {-999.f, 1.f, 1.f}}, {{0.f, 1000.f, 0.f}, {1.f, 1001.f, 1.f}}, {{0.f, -1000.f, 0.f}, {1.f, -999.f, 1.f}}, }; const BvhTree tree(aabbs); auto r = tree.query_overlaps({{999.f, -1.f, -1.f}, {1002.f, 2.f, 2.f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 1); r = tree.query_overlaps({{-1001.f, -1.f, -1.f}, {-998.f, 2.f, 2.f}}); ASSERT_EQ(r.size(), 1); EXPECT_EQ(r[0], 2); } TEST(UnitTestBvhTree, AllObjectsSameCenter) { // All AABBs centered at origin but different sizes std::vector aabbs; for (int i = 1; i <= 10; ++i) { const auto s = static_cast(i); aabbs.push_back({{-s, -s, -s}, {s, s, s}}); } const BvhTree tree(aabbs); // Small query at origin should hit all const auto r = tree.query_overlaps({{-0.1f, -0.1f, -0.1f}, {0.1f, 0.1f, 0.1f}}); EXPECT_EQ(r.size(), 10); // Query touching only the largest box const auto r2 = tree.query_overlaps({{9.5f, 9.5f, 9.5f}, {10.5f, 10.5f, 10.5f}}); ASSERT_EQ(r2.size(), 1); EXPECT_EQ(r2[0], 9); } TEST(UnitTestBvhTree, MultipleQueriesSameTree) { std::vector aabbs; for (int i = 0; i < 100; ++i) { const auto f = static_cast(i) * 2.f; aabbs.push_back({{f, 0.f, 0.f}, {f + 1.f, 1.f, 1.f}}); } const BvhTree tree(aabbs); // Run many queries on the same tree for (int i = 0; i < 100; ++i) { const auto f = static_cast(i) * 2.f; const auto r = tree.query_overlaps({{f, 0.f, 0.f}, {f + 1.f, 1.f, 1.f}}); ASSERT_GE(r.size(), 1) << "Query for object " << i << " should find at least itself"; } }