static const char help[] = "Test KDTree\n\n"; #include static inline PetscReal Distance(PetscInt dim, const PetscReal *PETSC_RESTRICT x, const PetscReal *PETSC_RESTRICT y) { PetscReal dist = 0; for (PetscInt j = 0; j < dim; j++) dist += PetscSqr(x[j] - y[j]); return PetscSqrtReal(dist); } int main(int argc, char **argv) { MPI_Comm comm; PetscInt num_coords, dim, num_rand_points = 0, bucket_size = PETSC_DECIDE; PetscRandom random; PetscReal *coords; PetscInt coords_size, num_points_queried = 0, num_trees_built = 0, loops = 1; PetscBool view_tree = PETSC_FALSE, view_performance = PETSC_TRUE, test_tree_points = PETSC_FALSE, test_rand_points = PETSC_FALSE, query_rand_points = PETSC_FALSE; PetscCopyMode copy_mode = PETSC_OWN_POINTER; PetscKDTree tree; PetscFunctionBeginUser; PetscCall(PetscInitialize(&argc, &argv, NULL, help)); PetscCall(PetscLogDefaultBegin()); // So we can use PetscLogEventGetPerfInfo without -log_view comm = PETSC_COMM_WORLD; PetscOptionsBegin(PETSC_COMM_WORLD, "", "Test Options", "none"); PetscCall(PetscOptionsInt("-num_coords", "Number of coordinates", "", PETSC_FALSE, &num_coords, NULL)); PetscCall(PetscOptionsInt("-dim", "Dimension of the coordinates", "", PETSC_FALSE, &dim, NULL)); PetscCall(PetscOptionsInt("-bucket_size", "Size of the bucket at each leaf", "", bucket_size, &bucket_size, NULL)); PetscCall(PetscOptionsBoundedInt("-loops", "Number of times to loop through KDTree creation and querying", "", loops, &loops, NULL, 1)); PetscCall(PetscOptionsEnum("-copy_mode", "Copy mode to use with KDTree", "PetscKDTreeCreate", PetscCopyModes, (PetscEnum)copy_mode, (PetscEnum *)©_mode, NULL)); PetscCall(PetscOptionsBool("-view_tree", "View the KDTree", "", view_tree, &view_tree, NULL)); PetscCall(PetscOptionsBool("-view_performance", "View the performance speed of the KDTree", "", view_performance, &view_performance, NULL)); PetscCall(PetscOptionsBool("-test_tree_points", "Test querying tree points against itself", "", test_tree_points, &test_tree_points, NULL)); PetscCall(PetscOptionsBool("-test_rand_points", "Test querying random points via brute force", "", test_rand_points, &test_rand_points, NULL)); PetscCall(PetscOptionsBool("-query_rand_points", "Query querying random points", "", query_rand_points, &query_rand_points, NULL)); if (test_rand_points || query_rand_points) PetscCall(PetscOptionsInt("-num_rand_points", "Number of random points to test with", "", num_rand_points, &num_rand_points, NULL)); PetscOptionsEnd(); coords_size = num_coords * dim; PetscCall(PetscMalloc1(coords_size, &coords)); PetscCall(PetscRandomCreate(comm, &random)); for (PetscInt loop_count = 0; loop_count < loops; loop_count++) { PetscCall(PetscRandomGetValuesReal(random, coords_size, coords)); PetscCall(PetscKDTreeCreate(num_coords, dim, coords, copy_mode, bucket_size, &tree)); num_trees_built++; if (view_tree) PetscCall(PetscKDTreeView(tree, NULL)); if (test_tree_points) { // Test querying the current coordinates PetscCount *indices; PetscReal *distances; num_points_queried += num_coords; PetscCall(PetscMalloc2(num_coords, &indices, num_coords, &distances)); PetscCall(PetscKDTreeQueryPointsNearestNeighbor(tree, num_coords, coords, PETSC_MACHINE_EPSILON * 1e3, indices, distances)); for (PetscInt i = 0; i < num_coords; i++) { if (indices[i] != i) PetscCall(PetscPrintf(comm, "Query failed for coord %" PetscInt_FMT ", query returned index %" PetscCount_FMT " with distance %g\n", i, indices[i], (double)distances[i])); } PetscCall(PetscFree2(indices, distances)); } if (num_rand_points > 0) { PetscCount *indices; PetscReal *distances; PetscReal *rand_points; PetscInt rand_queries_size = num_rand_points * dim; num_points_queried += num_rand_points; PetscCall(PetscMalloc3(rand_queries_size, &rand_points, num_rand_points, &indices, num_rand_points, &distances)); PetscCall(PetscRandomGetValuesReal(random, rand_queries_size, rand_points)); PetscCall(PetscKDTreeQueryPointsNearestNeighbor(tree, num_rand_points, rand_points, 0., indices, distances)); if (test_rand_points) { for (PetscInt i = 0; i < num_rand_points; i++) { PetscReal *rand_point = &rand_points[dim * i], nearest_distance = PETSC_MAX_REAL; PetscInt index = -1; for (PetscInt j = 0; j < num_coords; j++) { PetscReal dist = Distance(dim, rand_point, &coords[dim * j]); if (dist < nearest_distance) { nearest_distance = dist; index = j; } } if (indices[i] != index) PetscCall(PetscPrintf(comm, "Query failed for random point %" PetscInt_FMT ". Query returned index %" PetscCount_FMT " with distance %g, but coordinate %" PetscInt_FMT " with distance %g is closer\n", i, indices[i], (double)distances[i], index, (double)nearest_distance)); } } PetscCall(PetscFree3(rand_points, indices, distances)); } } if (view_performance) { PetscLogEvent kdtree_build_log, kdtree_query_log; PetscEventPerfInfo build_perf_info, query_perf_info; PetscCall(PetscLogEventGetId("KDTreeBuild", &kdtree_build_log)); PetscCall(PetscLogEventGetPerfInfo(PETSC_DETERMINE, kdtree_build_log, &build_perf_info)); PetscCall(PetscLogEventGetId("KDTreeQuery", &kdtree_query_log)); PetscCall(PetscLogEventGetPerfInfo(PETSC_DETERMINE, kdtree_query_log, &query_perf_info)); PetscCall(PetscPrintf(comm, "KDTreeBuild %.6e for %" PetscInt_FMT " trees built\n", build_perf_info.time, num_trees_built)); PetscCall(PetscPrintf(comm, "\tTime per tree: %.6e\n", build_perf_info.time / num_trees_built)); PetscCall(PetscPrintf(comm, "KDTreeQuery %.6e for %" PetscCount_FMT " queries\n", query_perf_info.time, (PetscCount)num_points_queried)); PetscCall(PetscPrintf(comm, "\tTime per query: %.6e\n", query_perf_info.time / num_points_queried)); } if (copy_mode != PETSC_OWN_POINTER) PetscCall(PetscFree(coords)); PetscCall(PetscKDTreeDestroy(&tree)); PetscCall(PetscRandomDestroy(&random)); PetscCall(PetscFinalize()); return 0; } /*TEST testset: suffix: kdtree args: -num_coords 35 -test_tree_points -test_rand_points -num_rand_points 300 -bucket_size 13 -view_performance false -view_tree true -kdtree_debug test: suffix: 1D args: -dim 1 test: suffix: 2D args: -dim 2 test: suffix: 3D args: -dim 3 test: suffix: 3D_small args: -dim 3 -num_coords 13 testset: suffix: kdtree_3D_large args: -dim 3 -num_coords 350 -test_tree_points -test_rand_points -num_rand_points 300 -view_performance false -kdtree_debug test: test: suffix: copy args: -copy_mode copy_values test: suffix: use args: -copy_mode use_pointer TEST*/