[CI] Auto commit changes from spotless

Author: elasticsearchmachine

server/src/main/java/org/elasticsearch/index/mapper/vectors/DenseVectorFieldMapper.java

@@ -2318,9 +2318,11 @@ private Query createKnnBitQuery(
             KnnSearchStrategy searchStrategy
         ) {
             elementType.checkDimensions(dims, queryVector.length);
-            Query knnQuery = PatienceKnnVectorQuery.fromByteQuery(parentFilter != null
-                ? new ESDiversifyingChildrenByteKnnVectorQuery(name(), queryVector, filter, k, numCands, parentFilter, searchStrategy)
-                : new ESKnnByteVectorQuery(name(), queryVector, k, numCands, filter, searchStrategy));
+            Query knnQuery = PatienceKnnVectorQuery.fromByteQuery(
+                parentFilter != null
+                    ? new ESDiversifyingChildrenByteKnnVectorQuery(name(), queryVector, filter, k, numCands, parentFilter, searchStrategy)
+                    : new ESKnnByteVectorQuery(name(), queryVector, k, numCands, filter, searchStrategy)
+            );
             if (similarityThreshold != null) {
                 knnQuery = new VectorSimilarityQuery(
                     knnQuery,
@@ -2346,9 +2348,11 @@ private Query createKnnByteQuery(
                 float squaredMagnitude = VectorUtil.dotProduct(queryVector, queryVector);
                 elementType.checkVectorMagnitude(similarity, ElementType.errorByteElementsAppender(queryVector), squaredMagnitude);
             }
-            Query knnQuery = PatienceKnnVectorQuery.fromByteQuery(parentFilter != null
-                ? new ESDiversifyingChildrenByteKnnVectorQuery(name(), queryVector, filter, k, numCands, parentFilter, searchStrategy)
-                : new ESKnnByteVectorQuery(name(), queryVector, k, numCands, filter, searchStrategy));
+            Query knnQuery = PatienceKnnVectorQuery.fromByteQuery(
+                parentFilter != null
+                    ? new ESDiversifyingChildrenByteKnnVectorQuery(name(), queryVector, filter, k, numCands, parentFilter, searchStrategy)
+                    : new ESKnnByteVectorQuery(name(), queryVector, k, numCands, filter, searchStrategy)
+            );
 
             if (similarityThreshold != null) {
                 knnQuery = new VectorSimilarityQuery(
@@ -2401,17 +2405,19 @@ && isNotUnitVector(squaredMagnitude)) {
                 adjustedK = Math.min((int) Math.ceil(k * oversample), OVERSAMPLE_LIMIT);
                 numCands = Math.max(adjustedK, numCands);
             }
-            Query knnQuery = PatienceKnnVectorQuery.fromFloatQuery(parentFilter != null
-                ? new ESDiversifyingChildrenFloatKnnVectorQuery(
-                    name(),
-                    queryVector,
-                    filter,
-                    adjustedK,
-                    numCands,
-                    parentFilter,
-                    knnSearchStrategy
-                )
-                : new ESKnnFloatVectorQuery(name(), queryVector, adjustedK, numCands, filter, knnSearchStrategy));
+            Query knnQuery = PatienceKnnVectorQuery.fromFloatQuery(
+                parentFilter != null
+                    ? new ESDiversifyingChildrenFloatKnnVectorQuery(
+                        name(),
+                        queryVector,
+                        filter,
+                        adjustedK,
+                        numCands,
+                        parentFilter,
+                        knnSearchStrategy
+                    )
+                    : new ESKnnFloatVectorQuery(name(), queryVector, adjustedK, numCands, filter, knnSearchStrategy)
+            );
 
             if (rescore) {
                 knnQuery = new RescoreKnnVectorQuery(