[CI] Auto commit changes from spotless

Author: elasticsearchmachine

x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/scalar/convert/ToDenseVector.java

@@ -50,7 +50,7 @@ public ToDenseVector(
         Source source,
         @Param(
             name = "field",
-            type = {"double", "long", "integer"},
+            type = { "double", "long", "integer" },
             description = "multi-valued input of numbers to convert."
         ) Expression field
     ) {

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

@@ -2442,33 +2442,23 @@ private void checkDenseVectorImplicitCastingSimilarityFunction(String similarity
 
     public void testDenseVectorEvalCastingSimilarityFunctions() {
         if (EsqlCapabilities.Cap.COSINE_VECTOR_SIMILARITY_FUNCTION.isEnabled()) {
-            checkDenseVectorEvalCastingSimilarityFunction(
-                "v_cosine(float_vector, query)"
-            );
+            checkDenseVectorEvalCastingSimilarityFunction("v_cosine(float_vector, query)");
             checkDenseVectorEvalCastingSimilarityFunction("v_cosine(byte_vector, query)");
         }
         if (EsqlCapabilities.Cap.DOT_PRODUCT_VECTOR_SIMILARITY_FUNCTION.isEnabled()) {
-            checkDenseVectorEvalCastingSimilarityFunction(
-                "v_dot_product(float_vector, query)"
-            );
+            checkDenseVectorEvalCastingSimilarityFunction("v_dot_product(float_vector, query)");
             checkDenseVectorEvalCastingSimilarityFunction("v_dot_product(byte_vector, query)");
         }
         if (EsqlCapabilities.Cap.L1_NORM_VECTOR_SIMILARITY_FUNCTION.isEnabled()) {
-            checkDenseVectorEvalCastingSimilarityFunction(
-                "v_l1_norm(float_vector, query)"
-            );
+            checkDenseVectorEvalCastingSimilarityFunction("v_l1_norm(float_vector, query)");
             checkDenseVectorEvalCastingSimilarityFunction("v_l1_norm(byte_vector, query)");
         }
         if (EsqlCapabilities.Cap.L2_NORM_VECTOR_SIMILARITY_FUNCTION.isEnabled()) {
-            checkDenseVectorEvalCastingSimilarityFunction(
-                "v_l2_norm(float_vector, query)"
-            );
+            checkDenseVectorEvalCastingSimilarityFunction("v_l2_norm(float_vector, query)");
             checkDenseVectorEvalCastingSimilarityFunction("v_l2_norm(float_vector, query)");
         }
         if (EsqlCapabilities.Cap.HAMMING_VECTOR_SIMILARITY_FUNCTION.isEnabled()) {
-            checkDenseVectorEvalCastingSimilarityFunction(
-                "v_hamming(byte_vector, query)"
-            );
+            checkDenseVectorEvalCastingSimilarityFunction("v_hamming(byte_vector, query)");
             checkDenseVectorEvalCastingSimilarityFunction("v_hamming(byte_vector, query)");
         }
     }

x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/expression/function/scalar/convert/ToDenseVectorTests.java

@@ -34,49 +34,25 @@ public ToDenseVectorTests(@Name("TestCase") Supplier<TestCaseSupplier.TestCase>
     public static Iterable<Object[]> parameters() {
         List<TestCaseSupplier> suppliers = new ArrayList<>();
 
-        suppliers.add(
-            new TestCaseSupplier(
-                "int",
-                List.of(DataType.INTEGER),
-                () -> {
-                    List<Integer> data = Arrays.asList(randomArray(1, 10, Integer[]::new, ESTestCase::randomInt));
-                    return new TestCaseSupplier.TestCase(
-                        List.of(
-                            new TestCaseSupplier.TypedData(
-                                data,
-                                DataType.INTEGER,
-                                "int"
-                            )
-                        ),
-                        evaluatorName("Int", "i"),
-                        DataType.DENSE_VECTOR,
-                        equalTo(data.stream().map(Number::floatValue).toList())
-                    );
-                }
-            )
-        );
+        suppliers.add(new TestCaseSupplier("int", List.of(DataType.INTEGER), () -> {
+            List<Integer> data = Arrays.asList(randomArray(1, 10, Integer[]::new, ESTestCase::randomInt));
+            return new TestCaseSupplier.TestCase(
+                List.of(new TestCaseSupplier.TypedData(data, DataType.INTEGER, "int")),
+                evaluatorName("Int", "i"),
+                DataType.DENSE_VECTOR,
+                equalTo(data.stream().map(Number::floatValue).toList())
+            );
+        }));
 
-        suppliers.add(
-            new TestCaseSupplier(
-                "long",
-                List.of(DataType.LONG),
-                () -> {
-                    List<Long> data = Arrays.asList(randomArray(1, 10, Long[]::new, ESTestCase::randomLong));
-                    return new TestCaseSupplier.TestCase(
-                        List.of(
-                            new TestCaseSupplier.TypedData(
-                                data,
-                                DataType.LONG,
-                                "long"
-                            )
-                        ),
-                        evaluatorName("Long", "l"),
-                        DataType.DENSE_VECTOR,
-                        equalTo(data.stream().map(Number::floatValue).toList())
-                    );
-                }
-            )
-        );
+        suppliers.add(new TestCaseSupplier("long", List.of(DataType.LONG), () -> {
+            List<Long> data = Arrays.asList(randomArray(1, 10, Long[]::new, ESTestCase::randomLong));
+            return new TestCaseSupplier.TestCase(
+                List.of(new TestCaseSupplier.TypedData(data, DataType.LONG, "long")),
+                evaluatorName("Long", "l"),
+                DataType.DENSE_VECTOR,
+                equalTo(data.stream().map(Number::floatValue).toList())
+            );
+        }));
 
         return parameterSuppliersFromTypedDataWithDefaultChecksNoErrors(true, suppliers);
     }