Move MinimumSpanningTree and WeightedEdge to Experimenal namespace

benchmarks/dbscan/dbscan_timpl.hpp

@@ -317,7 +317,7 @@ bool ArborXBenchmark::run(ArborXBenchmark::Parameters const &params)
   {
 
     Kokkos::Profiling::pushRegion("ArborX::MST::total");
-    ArborX::Details::MinimumSpanningTree<MemorySpace> mst(
+    ArborX::Experimental::MinimumSpanningTree<MemorySpace> mst(
         exec_space, primitives, params.core_min_size);
     Kokkos::Profiling::popRegion();
 

src/cluster/ArborX_Dendrogram.hpp

@@ -44,7 +44,7 @@ struct Dendrogram
 
   template <typename ExecutionSpace>
   Dendrogram(ExecutionSpace const &exec_space,
-             Kokkos::View<Details::WeightedEdge *, MemorySpace> edges)
+             Kokkos::View<Experimental::WeightedEdge *, MemorySpace> edges)
       : _parents("ArborX::Dendrogram::parents", 0)
       , _parent_heights("ArborX::Dendrogram::parent_heights", 0)
   {
@@ -81,7 +81,7 @@ struct Dendrogram
   template <typename ExecutionSpace>
   void splitEdges(
       ExecutionSpace const &exec_space,
-      Kokkos::View<Details::WeightedEdge *, MemorySpace> edges,
+      Kokkos::View<Experimental::WeightedEdge *, MemorySpace> edges,
       Kokkos::View<Details::UnweightedEdge *, MemorySpace> unweighted_edges,
       Kokkos::View<float *, MemorySpace> weights)
   {

src/cluster/ArborX_MinimumSpanningTree.hpp

@@ -25,10 +25,11 @@
 #include <Kokkos_Core.hpp>
 #include <Kokkos_Profiling_ScopedRegion.hpp>
 
-namespace ArborX::Details
+namespace ArborX::Experimental
 {
 
-template <class MemorySpace, BoruvkaMode Mode = BoruvkaMode::MST>
+template <class MemorySpace,
+          Details::BoruvkaMode Mode = Details::BoruvkaMode::MST>
 struct MinimumSpanningTree
 {
   using memory_space = MemorySpace;
@@ -69,11 +70,11 @@ struct MinimumSpanningTree
       bvh.query(
           space,
           Experimental::attach_indices(Experimental::make_nearest(points, k)),
-          MaxDistance<Points, decltype(core_distances)>{points,
-                                                        core_distances});
+          Details::MaxDistance<Points, decltype(core_distances)>{
+              points, core_distances});
       Kokkos::Profiling::popRegion();
 
-      MutualReachability<decltype(core_distances)> mutual_reachability{
+      Details::MutualReachability<decltype(core_distances)> mutual_reachability{
           core_distances};
       Kokkos::Profiling::pushRegion("ArborX::MST::boruvka");
       doBoruvka(space, bvh, mutual_reachability);
@@ -82,11 +83,11 @@ struct MinimumSpanningTree
     else
     {
       Kokkos::Profiling::pushRegion("ArborX::MST::boruvka");
-      doBoruvka(space, bvh, Euclidean{});
+      doBoruvka(space, bvh, Details::Euclidean{});
       Kokkos::Profiling::popRegion();
     }
 
-    finalizeEdges(space, bvh, edges);
+    Details::finalizeEdges(space, bvh, edges);
 
     Kokkos::Profiling::popRegion();
   }
@@ -107,7 +108,7 @@ struct MinimumSpanningTree
         Kokkos::view_alloc(space, Kokkos::WithoutInitializing,
                            "ArborX::MST::tree_parents"),
         2 * n - 1);
-    findParents(space, bvh, tree_parents);
+    Details::findParents(space, bvh, tree_parents);
 
     Kokkos::Profiling::pushRegion("ArborX::MST::initialize_node_labels");
     Kokkos::View<int *, MemorySpace> labels(
@@ -118,7 +119,7 @@ struct MinimumSpanningTree
                     Kokkos::subview(labels, std::make_pair((decltype(n))0, n)));
     Kokkos::Profiling::popRegion();
 
-    Kokkos::View<DirectedEdge *, MemorySpace> component_out_edges(
+    Kokkos::View<Details::DirectedEdge *, MemorySpace> component_out_edges(
         Kokkos::view_alloc(space, Kokkos::WithoutInitializing,
                            "ArborX::MST::component_out_edges"),
         n);
@@ -169,7 +170,7 @@ struct MinimumSpanningTree
 
     Kokkos::View<int *, MemorySpace> sided_parents("ArborX::MST::sided_parents",
                                                    0);
-    if constexpr (Mode == BoruvkaMode::HDBSCAN)
+    if constexpr (Mode == Details::BoruvkaMode::HDBSCAN)
     {
       KokkosExt::reallocWithoutInitializing(space, edges_mapping, n - 1);
       KokkosExt::reallocWithoutInitializing(space, sided_parents, n - 1);
@@ -189,16 +190,16 @@ struct MinimumSpanningTree
                                     std::to_string(num_components));
 
       // Propagate leaf node labels to internal nodes
-      reduceLabels(space, tree_parents, labels);
+      Details::reduceLabels(space, tree_parents, labels);
 
       constexpr auto inf = KokkosExt::ArithmeticTraits::infinity<float>::value;
-      constexpr DirectedEdge uninitialized_edge;
+      constexpr Details::DirectedEdge uninitialized_edge;
       Kokkos::deep_copy(space, component_out_edges, uninitialized_edge);
       Kokkos::deep_copy(space, weights, inf);
       Kokkos::deep_copy(space, radii, inf);
       resetSharedRadii(space, bvh, labels, metric, radii);
 
-      FindComponentNearestNeighbors(
+      Details::FindComponentNearestNeighbors(
           space, bvh, labels, weights, component_out_edges, metric, radii,
           lower_bounds, std::bool_constant<use_shared_radii>());
       retrieveEdges(space, labels, weights, component_out_edges);
@@ -207,48 +208,49 @@ struct MinimumSpanningTree
         updateLowerBounds(space, labels, component_out_edges, lower_bounds);
       }
 
-      UpdateComponentsAndEdges<decltype(labels), decltype(component_out_edges),
-                               decltype(edges), decltype(edges_mapping),
-                               decltype(num_edges), Mode>
+      Details::UpdateComponentsAndEdges<
+          decltype(labels), decltype(component_out_edges), decltype(edges),
+          decltype(edges_mapping), decltype(num_edges), Mode>
           f{labels, component_out_edges, edges, edges_mapping, num_edges};
 
       // For every component C and a found shortest edge `(u, w)`, add the
       // edge to the list of MST edges.
       Kokkos::parallel_for(
           "ArborX::MST::update_unidirectional_edges",
-          Kokkos::RangePolicy<ExecutionSpace, UnidirectionalEdgesTag>(space, 0,
-                                                                      n),
+          Kokkos::RangePolicy<ExecutionSpace, Details::UnidirectionalEdgesTag>(
+              space, 0, n),
           f);
 
       int num_edges_host;
       Kokkos::deep_copy(space, num_edges_host, num_edges);
       space.fence();
 
-      if constexpr (Mode == BoruvkaMode::HDBSCAN)
+      if constexpr (Mode == Details::BoruvkaMode::HDBSCAN)
       {
         Kokkos::parallel_for(
             "ArborX::MST::update_bidirectional_edges",
-            Kokkos::RangePolicy<ExecutionSpace, BidirectionalEdgesTag>(space, 0,
-                                                                       n),
+            Kokkos::RangePolicy<ExecutionSpace, Details::BidirectionalEdgesTag>(
+                space, 0, n),
             f);
 
         if (iterations > 1)
-          updateSidedParents(space, labels, edges, edges_mapping, sided_parents,
-                             edges_start, edges_end);
+          Details::updateSidedParents(space, labels, edges, edges_mapping,
+                                      sided_parents, edges_start, edges_end);
         else
         {
           Kokkos::Profiling::ScopedRegion guard(
               "ArborX::MST::compute_vertex_parents");
-          assignVertexParents(space, labels, component_out_edges, edges_mapping,
-                              bvh, dendrogram_parents);
+          Details::assignVertexParents(space, labels, component_out_edges,
+                                       edges_mapping, bvh, dendrogram_parents);
         }
       }
 
       // For every component C and a found shortest edge `(u, w)`, merge C
       // with the component that w belongs to by updating the labels
       Kokkos::parallel_for(
           "ArborX::MST::update_labels",
-          Kokkos::RangePolicy<ExecutionSpace, LabelsTag>(space, 0, n), f);
+          Kokkos::RangePolicy<ExecutionSpace, Details::LabelsTag>(space, 0, n),
+          f);
 
       num_components = static_cast<int>(n) - num_edges_host;
 
@@ -267,17 +269,17 @@ struct MinimumSpanningTree
     Kokkos::resize(component_out_edges, 0);
     Kokkos::resize(tree_parents, 0);
 
-    if constexpr (Mode == BoruvkaMode::HDBSCAN)
+    if constexpr (Mode == Details::BoruvkaMode::HDBSCAN)
     {
 
       // Done with the recursion as there are no more alpha edges. Assign
       // all current edges to the root chain.
       Kokkos::deep_copy(space,
                         Kokkos::subview(sided_parents,
                                         std::make_pair(edges_start, edges_end)),
-                        ROOT_CHAIN_VALUE);
+                        Details::ROOT_CHAIN_VALUE);
 
-      computeParents(space, edges, sided_parents, dendrogram_parents);
+      Details::computeParents(space, edges, sided_parents, dendrogram_parents);
 
       KokkosExt::reallocWithoutInitializing(space, dendrogram_parent_heights,
                                             n - 1);
@@ -293,6 +295,6 @@ struct MinimumSpanningTree
   }
 };
 
-} // namespace ArborX::Details
+} // namespace ArborX::Experimental
 
 #endif

src/cluster/detail/ArborX_BoruvkaHelpers.hpp

@@ -97,7 +97,7 @@ class DirectedEdge
       , weight{weight}
   {}
   KOKKOS_DEFAULTED_FUNCTION constexpr DirectedEdge() = default;
-  KOKKOS_FUNCTION explicit constexpr operator WeightedEdge()
+  KOKKOS_FUNCTION explicit constexpr operator Experimental::WeightedEdge()
   {
     return {source(), target(), weight};
   }
@@ -453,7 +453,7 @@ struct UpdateComponentsAndEdges
 
     // append new edge at the "end" of the array (akin to
     // std::vector::push_back)
-    auto const edge = static_cast<WeightedEdge>(_out_edges(i));
+    auto const edge = static_cast<Experimental::WeightedEdge>(_out_edges(i));
     auto const back =
         Kokkos::atomic_fetch_inc(&_num_edges()); // atomic post-increment
     _edges(back) = edge;

src/cluster/detail/ArborX_WeightedEdge.hpp

@@ -15,7 +15,7 @@
 #include <Kokkos_Macros.hpp>
 #include <Kokkos_MinMax.hpp>
 
-namespace ArborX::Details
+namespace ArborX::Experimental
 {
 
 struct WeightedEdge
@@ -48,6 +48,6 @@ struct WeightedEdge
   }
 };
 
-} // namespace ArborX::Details
+} // namespace ArborX::Experimental
 
 #endif

test/tstCompileOnlyWeightedEdges.cpp

@@ -46,7 +46,7 @@ static_assert(test_directed_edges()); // avoid warning unused function
 
 KOKKOS_FUNCTION constexpr bool test_weighted_edges()
 {
-  using ArborX::Details::WeightedEdge;
+  using ArborX::Experimental::WeightedEdge;
 
   static_assert(WeightedEdge{1, 2, 3} < WeightedEdge{1, 2, 4});
 

test/tstDendrogram.cpp

@@ -25,7 +25,7 @@
 
 BOOST_AUTO_TEST_SUITE(Dendrogram)
 
-using ArborX::Details::WeightedEdge;
+using ArborX::Experimental::WeightedEdge;
 namespace tt = boost::test_tools;
 
 namespace
@@ -54,7 +54,7 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(dendrogram_union_find, DeviceType,
                               ARBORX_DEVICE_TYPES)
 {
   using ExecutionSpace = typename DeviceType::execution_space;
-  using ArborX::Details::WeightedEdge;
+  using ArborX::Experimental::WeightedEdge;
 
   ExecutionSpace space;
 
@@ -121,7 +121,8 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(dendrogram_boruvka, DeviceType,
   int const n = 3000;
   auto points = ArborXTest::make_random_cloud<ArborX::Point<3>>(space, n);
 
-  MinimumSpanningTree<MemorySpace, BoruvkaMode::HDBSCAN> mst(space, points);
+  ArborX::Experimental::MinimumSpanningTree<MemorySpace, BoruvkaMode::HDBSCAN>
+      mst(space, points);
   ArborX::Experimental::Dendrogram<MemorySpace> dendrogram(space, mst.edges);
 
   // Because the dendrogram in the MST is permuted, we need to reorder it in the
@@ -209,8 +210,8 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(dendrogram_boruvka_same_weights, DeviceType,
 
   // minpts = 5 is the first value that leads to the test failure with N = 4
   int const minpts = 5;
-  MinimumSpanningTree<MemorySpace, BoruvkaMode::HDBSCAN> mst(space, points,
-                                                             minpts);
+  ArborX::Experimental::MinimumSpanningTree<MemorySpace, BoruvkaMode::HDBSCAN>
+      mst(space, points, minpts);
   ArborX::Experimental::Dendrogram<MemorySpace> dendrogram(space, mst.edges);
 
   // Check that the dendrogram is binary