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Diffstat (limited to 'container-search/src/test/java/com/yahoo/search/result/FeatureDataTestCase.java')
-rw-r--r--container-search/src/test/java/com/yahoo/search/result/FeatureDataTestCase.java24
1 files changed, 12 insertions, 12 deletions
diff --git a/container-search/src/test/java/com/yahoo/search/result/FeatureDataTestCase.java b/container-search/src/test/java/com/yahoo/search/result/FeatureDataTestCase.java
index f7b9817437f..5d423eceb98 100644
--- a/container-search/src/test/java/com/yahoo/search/result/FeatureDataTestCase.java
+++ b/container-search/src/test/java/com/yahoo/search/result/FeatureDataTestCase.java
@@ -6,12 +6,12 @@ import com.yahoo.slime.Cursor;
import com.yahoo.slime.Slime;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.serialization.TypedBinaryFormat;
-import org.junit.Test;
+import org.junit.jupiter.api.Test;
import java.util.stream.Collectors;
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.assertNull;
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertNull;
/**
* @author bratseth
@@ -21,7 +21,7 @@ public class FeatureDataTestCase {
private static final double delta = 0.00000001;
@Test
- public void testFeatureData() {
+ void testFeatureData() {
Cursor features = new Slime().setObject();
features.setDouble("scalar1", 1.5);
features.setDouble("scalar2", 2.5);
@@ -32,11 +32,11 @@ public class FeatureDataTestCase {
FeatureData featureData = new FeatureData(new SlimeAdapter(features));
assertEquals("scalar1,scalar2,tensor1,tensor2",
- featureData.featureNames().stream().sorted().collect(Collectors.joining(",")));
+ featureData.featureNames().stream().sorted().collect(Collectors.joining(",")));
assertNull(featureData.getDouble("nosuch1"));
assertEquals(1.5, featureData.getDouble("scalar1"), delta);
assertEquals(2.5, featureData.getDouble("scalar2"), delta);
- assertEquals("Cached lookup", 2.5, featureData.getDouble("scalar2"), delta);
+ assertEquals(2.5, featureData.getDouble("scalar2"), delta, "Cached lookup");
assertNull(featureData.getDouble("nosuch2"));
assertNull(featureData.getDouble("nosuch2"));
@@ -45,17 +45,17 @@ public class FeatureDataTestCase {
assertEquals(Tensor.from(2.5), featureData.getTensor("scalar2"));
assertEquals(tensor1, featureData.getTensor("tensor1"));
assertEquals(tensor2, featureData.getTensor("tensor2"));
- assertEquals("Cached lookup", tensor2, featureData.getTensor("tensor2"));
+ assertEquals(tensor2, featureData.getTensor("tensor2"), "Cached lookup");
assertNull(featureData.getTensor("nosuch2"));
assertNull(featureData.getTensor("nosuch2"));
String expectedJson =
"{" +
- "\"scalar1\":1.5," +
- "\"scalar2\":2.5," +
- "\"tensor1\":{\"type\":\"tensor(x[3])\",\"cells\":[{\"address\":{\"x\":\"0\"},\"value\":1.5},{\"address\":{\"x\":\"1\"},\"value\":2.0},{\"address\":{\"x\":\"2\"},\"value\":2.5}]}," +
- "\"tensor2\":{\"type\":\"tensor()\",\"cells\":[{\"address\":{},\"value\":0.5}]}" +
- "}";
+ "\"scalar1\":1.5," +
+ "\"scalar2\":2.5," +
+ "\"tensor1\":{\"type\":\"tensor(x[3])\",\"cells\":[{\"address\":{\"x\":\"0\"},\"value\":1.5},{\"address\":{\"x\":\"1\"},\"value\":2.0},{\"address\":{\"x\":\"2\"},\"value\":2.5}]}," +
+ "\"tensor2\":{\"type\":\"tensor()\",\"cells\":[{\"address\":{},\"value\":0.5}]}" +
+ "}";
assertEquals(expectedJson, featureData.toJson());
}