1 files changed, 18 insertions, 18 deletions
diff --git a/config-model/src/test/java/com/yahoo/vespa/model/search/test/SchemaInfoTestCase.java b/config-model/src/test/java/com/yahoo/vespa/model/search/test/SchemaInfoTestCase.java
index b8a14bc763b..622fcfdf4fd 100644
--- a/config-model/src/test/java/com/yahoo/vespa/model/search/test/SchemaInfoTestCase.java
+++ b/config-model/src/test/java/com/yahoo/vespa/model/search/test/SchemaInfoTestCase.java
@@ -4,34 +4,34 @@ package com.yahoo.vespa.model.search.test;
 import com.yahoo.search.config.SchemaInfoConfig;
 import com.yahoo.vespa.config.search.RankProfilesConfig;
 import com.yahoo.vespa.model.VespaModel;
-import org.junit.Test;
+import org.junit.jupiter.api.Test;
 
 import java.util.List;
 
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.fail;
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.fail;
 
 public class SchemaInfoTestCase {
 
     /** Schema-info should contain all schemas, independent of clusters. */
     @Test
-    public void requireThatSchemaInfoIsAvailable() {
-        List.of(1.0,2.0,3.0).toArray(new Double[3]);
+    void requireThatSchemaInfoIsAvailable() {
+        List.of(1.0, 2.0, 3.0).toArray(new Double[3]);
         String inputs =
                 "  rank-profile inputs {" +
-                "    inputs {" +
-                "      query(foo) tensor<float>(x[10])" +
-                "      query(bar) tensor(key{},x[1000])" +
-                "      query(myDouble1) double: 0.5" +
-                "      query(myDouble2) tensor()" +
-                "      query(myMap) tensor(key{}): { label1:1.0,\n \"label2\": 2.0, 'label3': 3.0 }" +
-                "      query(myVector1) tensor(x[3]):\n\n[1 ,2.0,3]" +
-                "      query(myVector2) tensor(x[3]):{{x:0}:1,{x: 1}: 2 , { x:2}:3.0 }" +
-                "      query(myMatrix) tensor(x[2],y[3]):[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]" +
-                "      query(myMixed1) tensor(key{},x[2]): { key1:[-1.0, 1.1], key2: [1,2]}" +
-                "      query(myMixed2) tensor(k1{},k2{},x[2]): { {k1:l1,k2:l1}:[-1.0, 1.1], {k1:l1,k2:l2}: [1,2]}" +
-                "    }" +
-                "  }";
+                        "    inputs {" +
+                        "      query(foo) tensor<float>(x[10])" +
+                        "      query(bar) tensor(key{},x[1000])" +
+                        "      query(myDouble1) double: 0.5" +
+                        "      query(myDouble2) tensor()" +
+                        "      query(myMap) tensor(key{}): { label1:1.0,\n \"label2\": 2.0, 'label3': 3.0 }" +
+                        "      query(myVector1) tensor(x[3]):\n\n[1 ,2.0,3]" +
+                        "      query(myVector2) tensor(x[3]):{{x:0}:1,{x: 1}: 2 , { x:2}:3.0 }" +
+                        "      query(myMatrix) tensor(x[2],y[3]):[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]" +
+                        "      query(myMixed1) tensor(key{},x[2]): { key1:[-1.0, 1.1], key2: [1,2]}" +
+                        "      query(myMixed2) tensor(k1{},k2{},x[2]): { {k1:l1,k2:l1}:[-1.0, 1.1], {k1:l1,k2:l2}: [1,2]}" +
+                        "    }" +
+                        "  }";
         List<String> schemas = List.of("type1", "type2");
         var tester = new SchemaTester();
         var model = tester.createModelWithRankProfile(inputs, schemas);