simplify the code for working out partitions

algo/src/main/java/org/neo4j/graphalgo/impl/DSSResult.java

@@ -73,10 +73,6 @@ public Stream<DisjointSetStruct.Result> resultStream(IdMapping idMapping) {
                 : hugeStruct.resultStream(((HugeIdMapping) idMapping));
     }
 
-    public Stream<DisjointSetStruct.InternalResult> internalResultStream(IdMapping idMapping) {
-        return struct.internalResultStream(idMapping);
-    }
-
     public void forEach(NodeIterator nodes, IntIntPredicate consumer) {
         if (struct != null) {
             nodes.forEachNode(nodeId -> consumer.apply(nodeId, struct.find(nodeId)));

algo/src/main/java/org/neo4j/graphalgo/similarity/ParallelSimilarityExporter.java

@@ -42,7 +42,6 @@
 import java.util.*;
 import java.util.concurrent.*;
 import java.util.concurrent.atomic.AtomicInteger;
-import java.util.concurrent.atomic.LongAdder;
 import java.util.stream.Collectors;
 import java.util.stream.Stream;
 
@@ -82,7 +81,7 @@ public int export(Stream<SimilarityResult> similarityPairs, long batchSize) {
         idMap.buildMappedIds();
         HeavyGraph graph = new HeavyGraph(idMap, adjacencyMatrix, weightMap, Collections.emptyMap());
 
-        DSSResult dssResult = computePartitions(graph);
+        DisjointSetStruct dssResult = computePartitions(graph);
 
         Stream<List<DisjointSetStruct.InternalResult>> stream = dssResult.internalResultStream(graph)
                 .collect(Collectors.groupingBy(item -> item.setId))
@@ -153,11 +152,11 @@ private static <T> void put(BlockingQueue<T> queue, T items) {
         }
     }
 
-    private DSSResult computePartitions(HeavyGraph graph) {
+    private DisjointSetStruct computePartitions(HeavyGraph graph) {
         GraphUnionFind algo = new GraphUnionFind(graph);
         DisjointSetStruct struct = algo.compute();
         algo.release();
-        return new DSSResult(struct);
+        return struct;
     }
 
     private void export(SimilarityResult similarityResult) {