[CI] Auto commit changes from spotless

Author: elasticsearchmachine

x-pack/plugin/esql/src/internalClusterTest/java/org/elasticsearch/xpack/esql/DenseVectorFieldTypeIT.java

@@ -44,10 +44,7 @@ public class DenseVectorFieldTypeIT extends AbstractEsqlIntegTestCase {
         "bbq_flat",
         "flat"
     );
-    public static final Set<String> NON_QUANTIZED_DENSE_VECTOR_INDEX_TYPES = Set.of(
-        "hnsw",
-        "flat"
-    );
+    public static final Set<String> NON_QUANTIZED_DENSE_VECTOR_INDEX_TYPES = Set.of("hnsw", "flat");
 
     private final ElementType elementType;
     private final boolean synthetic;
@@ -59,16 +56,16 @@ public static Iterable<Object[]> parameters() throws Exception {
         List<Object[]> params = new ArrayList<>();
         // Indexed field types
         for (String indexType : ALL_DENSE_VECTOR_INDEX_TYPES) {
-            params.add(new Object[] {ElementType.FLOAT, indexType, true, false });
+            params.add(new Object[] { ElementType.FLOAT, indexType, true, false });
         }
         for (String indexType : NON_QUANTIZED_DENSE_VECTOR_INDEX_TYPES) {
-            params.add(new Object[] {ElementType.BYTE, indexType, true, false });
+            params.add(new Object[] { ElementType.BYTE, indexType, true, false });
         }
         for (ElementType elementType : List.of(ElementType.BYTE, ElementType.FLOAT)) {
             // No indexing
-            params.add(new Object[]{elementType, null, false, false});
+            params.add(new Object[] { elementType, null, false, false });
             // No indexing, synthetic source
-            params.add(new Object[]{elementType, null, false, true});
+            params.add(new Object[] { elementType, null, false, true });
         }
         return params;
     }

x-pack/plugin/esql/src/internalClusterTest/java/org/elasticsearch/xpack/esql/plugin/KnnFunctionIT.java

@@ -48,26 +48,22 @@ public class KnnFunctionIT extends AbstractEsqlIntegTestCase {
     private final DenseVectorFieldMapper.ElementType elementType;
     private final String indexType;
 
-
     @ParametersFactory
     public static Iterable<Object[]> parameters() throws Exception {
         List<Object[]> params = new ArrayList<>();
         for (String indexType : ALL_DENSE_VECTOR_INDEX_TYPES) {
-            params.add(new Object[] {DenseVectorFieldMapper.ElementType.FLOAT, indexType });
+            params.add(new Object[] { DenseVectorFieldMapper.ElementType.FLOAT, indexType });
         }
         for (String indexType : NON_QUANTIZED_DENSE_VECTOR_INDEX_TYPES) {
-            params.add(new Object[] {DenseVectorFieldMapper.ElementType.BYTE, indexType });
+            params.add(new Object[] { DenseVectorFieldMapper.ElementType.BYTE, indexType });
         }
 
         // Remove flat index types, as knn does not do a top k for flat
         params.removeIf(param -> param[1] != null && ((String) param[1]).contains("flat"));
         return params;
     }
 
-    public KnnFunctionIT(
-        @Name("elementType") DenseVectorFieldMapper.ElementType elementType,
-        @Name("indexType") String indexType
-    ) {
+    public KnnFunctionIT(@Name("elementType") DenseVectorFieldMapper.ElementType elementType, @Name("indexType") String indexType) {
         this.elementType = elementType;
         this.indexType = indexType;
     }

x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/analysis/AnalyzerTests.java

@@ -2359,7 +2359,10 @@ private static void checkDenseVectorCastingKnn(String fieldName) {
 
     public void testDenseVectorImplicitCastingSimilarityFunctions() {
         if (EsqlCapabilities.Cap.COSINE_VECTOR_SIMILARITY_FUNCTION.isEnabled()) {
-            checkDenseVectorImplicitCastingSimilarityFunction("v_cosine(float_vector, [0.342, 0.164, 0.234])", List.of(0.342f, 0.164f, 0.234f));
+            checkDenseVectorImplicitCastingSimilarityFunction(
+                "v_cosine(float_vector, [0.342, 0.164, 0.234])",
+                List.of(0.342f, 0.164f, 0.234f)
+            );
             checkDenseVectorImplicitCastingSimilarityFunction("v_cosine(byte_vector, [1, 2, 3])", List.of(1f, 2f, 3f));
         }
         if (EsqlCapabilities.Cap.DOT_PRODUCT_VECTOR_SIMILARITY_FUNCTION.isEnabled()) {
@@ -2370,7 +2373,10 @@ public void testDenseVectorImplicitCastingSimilarityFunctions() {
             checkDenseVectorImplicitCastingSimilarityFunction("v_dot_product(byte_vector, [1, 2, 3])", List.of(1f, 2f, 3f));
         }
         if (EsqlCapabilities.Cap.L1_NORM_VECTOR_SIMILARITY_FUNCTION.isEnabled()) {
-            checkDenseVectorImplicitCastingSimilarityFunction("v_l1_norm(float_vector, [0.342, 0.164, 0.234])", List.of(0.342f, 0.164f, 0.234f));
+            checkDenseVectorImplicitCastingSimilarityFunction(
+                "v_l1_norm(float_vector, [0.342, 0.164, 0.234])",
+                List.of(0.342f, 0.164f, 0.234f)
+            );
             checkDenseVectorImplicitCastingSimilarityFunction("v_l1_norm(byte_vector, [1, 2, 3])", List.of(1f, 2f, 3f));
         }
     }