Lint.

server/src/main/java/org/elasticsearch/action/search/SearchRequest.java

@@ -442,7 +442,8 @@ public ActionRequestValidationException validate() {
                 }
             }
             if (source.rescores() != null) {
-                for (@SuppressWarnings("rawtypes") RescorerBuilder rescoreBuilder : source.rescores()) {
+                for (@SuppressWarnings("rawtypes")
+                RescorerBuilder rescoreBuilder : source.rescores()) {
                     validationException = rescoreBuilder.validate(this, validationException);
                 }
             }

x-pack/plugin/ml/src/main/java/org/elasticsearch/xpack/ml/inference/ltr/LearningToRankRescorer.java

@@ -62,7 +62,6 @@ public TopDocs rescore(TopDocs topDocs, IndexSearcher searcher, RescoreContext r
         // We will truncate the {@link TopDocs} to the window size so rescoring will be done on the full topDocs.
         topDocs = topN(topDocs, rescoreContext.getWindowSize());
 
-
         // Save doc IDs for which rescoring was applied to be used in score explanation
         Set<Integer> topDocIDs = Arrays.stream(topDocs.scoreDocs).map(scoreDoc -> scoreDoc.doc).collect(toUnmodifiableSet());
         rescoreContext.setRescoredDocs(topDocIDs);
@@ -134,7 +133,6 @@ public Explanation explain(int topLevelDocId, IndexSearcher searcher, RescoreCon
         return null;
     }
 
-
     /** Returns a new {@link TopDocs} with the topN from the incoming one, or the same TopDocs if the number of hits is already &lt;=
      *  topN. */
     private static TopDocs topN(TopDocs in, int topN) {

x-pack/plugin/ml/src/main/java/org/elasticsearch/xpack/ml/inference/ltr/LearningToRankRescorerBuilder.java

@@ -158,14 +158,16 @@ public ActionRequestValidationException validate(SearchRequest searchRequest, Ac
             RescorerBuilder<?> nextRescorer = rescorers.get(i);
             int nextRescorerWindowSize = nextRescorer.windowSize() != null ? nextRescorer.windowSize() : DEFAULT_WINDOW_SIZE;
             if (windowSize() < nextRescorerWindowSize) {
-                return addValidationError("unable to add a rescorer with [window_size: "
-                    + nextRescorer.windowSize()
-                    + "] because a rescorer of type ["
-                    + nextRescorer.getWriteableName()
-                    + "] with a smaller [window_size: "
-                    + windowSize()
-                    + "] has been added before",
-                validationException);
+                return addValidationError(
+                    "unable to add a rescorer with [window_size: "
+                        + nextRescorer.windowSize()
+                        + "] because a rescorer of type ["
+                        + nextRescorer.getWriteableName()
+                        + "] with a smaller [window_size: "
+                        + windowSize()
+                        + "] has been added before",
+                    validationException
+                );
             }
         }
 

x-pack/plugin/ml/src/test/java/org/elasticsearch/xpack/ml/inference/ltr/LearningToRankRescorerBuilderSerializationTests.java

@@ -187,16 +187,15 @@ protected Writeable.Reader<LearningToRankRescorerBuilder> instanceReader() {
         return in -> new LearningToRankRescorerBuilder(in, learningToRankService);
     }
 
-
     protected LearningToRankRescorerBuilder createTestInstance(int windowSize) {
         LearningToRankRescorerBuilder builder = randomBoolean()
             ? createXContextTestInstance(null)
             : new LearningToRankRescorerBuilder(
-            randomAlphaOfLength(10),
-            randomLearningToRankConfig(),
-            randomBoolean() ? randomParams() : null,
-            learningToRankService
-        );
+                randomAlphaOfLength(10),
+                randomLearningToRankConfig(),
+                randomBoolean() ? randomParams() : null,
+                learningToRankService
+            );
 
         builder.windowSize(windowSize);