[CI] Auto commit changes from spotless

Author: elasticsearchmachine

server/src/main/java/org/elasticsearch/search/vectors/DirectIOVectorBatchLoader.java

@@ -73,9 +73,10 @@ private Map<Integer, float[]> loadSegmentVectorsParallel(int[] docIds, LeafReade
     }
 
     private Map<Integer, float[]> loadVectorBatch(
-            FloatVectorValues vectorValues,
-            List<Integer> docIdBatch,
-            Map<Integer, Integer> docToOrdinal) throws IOException {
+        FloatVectorValues vectorValues,
+        List<Integer> docIdBatch,
+        Map<Integer, Integer> docToOrdinal
+    ) throws IOException {
 
         Map<Integer, float[]> batchResult = new HashMap<>();
 
@@ -91,9 +92,7 @@ private Map<Integer, float[]> loadVectorBatch(
         return batchResult;
     }
 
-    private Map<Integer, Integer> buildDocToOrdinalMapping(
-        FloatVectorValues vectorValues,
-            int[] targetDocIds) throws IOException {
+    private Map<Integer, Integer> buildDocToOrdinalMapping(FloatVectorValues vectorValues, int[] targetDocIds) throws IOException {
 
         Map<Integer, Integer> docToOrdinal = new HashMap<>();
 

server/src/test/java/org/elasticsearch/search/vectors/BulkVectorFunctionScoreQueryTests.java

@@ -207,18 +207,12 @@ public void testParallelVectorLoading() throws IOException {
 
                 // Get initial documents
                 TopDocs topDocs = searcher.search(new MatchAllDocsQuery(), 20);
-                int[] docIds = Arrays.stream(topDocs.scoreDocs)
-                    .mapToInt(scoreDoc -> scoreDoc.doc)
-                    .toArray();
+                int[] docIds = Arrays.stream(topDocs.scoreDocs).mapToInt(scoreDoc -> scoreDoc.doc).toArray();
 
                 // Test parallel loading
                 DirectIOVectorBatchLoader batchLoader = new DirectIOVectorBatchLoader();
 
-                Map<Integer, float[]> parallelResult = batchLoader.loadSegmentVectors(
-                    docIds,
-                    reader.leaves().get(0),
-                    VECTOR_FIELD
-                );
+                Map<Integer, float[]> parallelResult = batchLoader.loadSegmentVectors(docIds, reader.leaves().get(0), VECTOR_FIELD);
 
                 // use regular vector loader
                 Map<Integer, float[]> sequentialResult = new HashMap<>();
@@ -229,16 +223,17 @@ public void testParallelVectorLoading() throws IOException {
                 // Verify results are identical
                 assertThat(
                     "Parallel and sequential results should have same size",
-                    parallelResult.size(), equalTo(sequentialResult.size()));
+                    parallelResult.size(),
+                    equalTo(sequentialResult.size())
+                );
 
                 for (int docId : docIds) {
                     float[] parallelVector = parallelResult.get(docId);
                     float[] sequentialVector = sequentialResult.get(docId);
 
                     assertNotNull("Parallel result should contain vector for doc " + docId, parallelVector);
                     assertNotNull("Sequential result should contain vector for doc " + docId, sequentialVector);
-                    assertArrayEquals("Vectors should be identical for doc " + docId,
-                        sequentialVector, parallelVector, 0.0001f);
+                    assertArrayEquals("Vectors should be identical for doc " + docId, sequentialVector, parallelVector, 0.0001f);
                 }
             }
         }