From 9efbe90ee02b6b56f1a1208614c20d4b053a3135 Mon Sep 17 00:00:00 2001
From: Henning Baldersheim <balder@yahoo-inc.com>
Date: Mon, 16 Jan 2017 23:16:32 +0100
Subject: Revert "Revert "Revert "Bratseth/tensor type info in documents"""

---
 .../com/yahoo/fs4/test/RankFeaturesTestCase.java   | 27 ++++++++++------------
 1 file changed, 12 insertions(+), 15 deletions(-)

(limited to 'container-search')

diff --git a/container-search/src/test/java/com/yahoo/fs4/test/RankFeaturesTestCase.java b/container-search/src/test/java/com/yahoo/fs4/test/RankFeaturesTestCase.java
index 5cf9aeda978..8c209438565 100644
--- a/container-search/src/test/java/com/yahoo/fs4/test/RankFeaturesTestCase.java
+++ b/container-search/src/test/java/com/yahoo/fs4/test/RankFeaturesTestCase.java
@@ -5,7 +5,6 @@ import com.yahoo.io.GrowableByteBuffer;
 import com.yahoo.search.query.ranking.RankFeatures;
 import com.yahoo.search.query.ranking.RankProperties;
 import com.yahoo.tensor.Tensor;
-import com.yahoo.tensor.TensorType;
 import com.yahoo.tensor.serialization.TypedBinaryFormat;
 import com.yahoo.text.Utf8;
 import org.junit.Test;
@@ -31,18 +30,16 @@ public class RankFeaturesTestCase {
 
     @Test
     public void requireThatSingleTensorIsBinaryEncoded() {
-        TensorType type = new TensorType.Builder().mapped("x").mapped("y").mapped("z").build();
-        Tensor tensor = Tensor.from(type, "{ {x:a, y:b, z:c}:2.0, {x:a, y:b, z:c2}:3.0 }");
-        assertTensorEncodingAndDecoding(type, "query(my_tensor)", "my_tensor", tensor);
-        assertTensorEncodingAndDecoding(type, "$my_tensor", "my_tensor", tensor);
+        Tensor tensor = Tensor.from("{ {x:a, y:b, z:c}:2.0, {x:a, y:b, z:c2}:3.0 }");
+        assertTensorEncodingAndDecoding("query(my_tensor)", "my_tensor", tensor);
+        assertTensorEncodingAndDecoding("$my_tensor", "my_tensor", tensor);
     }
 
     @Test
     public void requireThatMultipleTensorsAreBinaryEncoded() {
-        TensorType type = new TensorType.Builder().mapped("x").mapped("y").mapped("z").build();
-        Tensor tensor1 = Tensor.from(type, "{ {x:a, y:b, z:c}:2.0, {x:a, y:b, z:c2}:3.0 }");
-        Tensor tensor2 = Tensor.from(type, "{ {x:a, y:b, z:c}:5.0 }");
-        assertTensorEncodingAndDecoding(type, Arrays.asList(
+        Tensor tensor1 = Tensor.from("{ {x:a, y:b, z:c}:2.0, {x:a, y:b, z:c2}:3.0 }");
+        Tensor tensor2 = Tensor.from("{ {x:a, y:b, z:c}:5.0 }");
+        assertTensorEncodingAndDecoding(Arrays.asList(
                 new Entry("query(tensor1)", "tensor1", tensor1),
                 new Entry("$tensor2", "tensor2", tensor2)));
     }
@@ -58,11 +55,11 @@ public class RankFeaturesTestCase {
         }
     }
 
-    private static void assertTensorEncodingAndDecoding(TensorType type, List<Entry> entries) {
+    private static void assertTensorEncodingAndDecoding(List<Entry> entries) {
         RankProperties properties = createRankPropertiesWithTensors(entries);
         assertEquals(entries.size(), properties.asMap().size());
 
-        Map<String, Object> decodedProperties = decode(type, encode(properties));
+        Map<String, Object> decodedProperties = decode(encode(properties));
         assertEquals(entries.size() * 2, properties.asMap().size()); // tensor type info has been added
         assertEquals(entries.size() * 2, decodedProperties.size());
         for (Entry entry : entries) {
@@ -71,8 +68,8 @@ public class RankFeaturesTestCase {
         }
     }
 
-    private static void assertTensorEncodingAndDecoding(TensorType type, String key, String normalizedKey, Tensor tensor) {
-        assertTensorEncodingAndDecoding(type, Arrays.asList(new Entry(key, normalizedKey, tensor)));
+    private static void assertTensorEncodingAndDecoding(String key, String normalizedKey, Tensor tensor) {
+        assertTensorEncodingAndDecoding(Arrays.asList(new Entry(key, normalizedKey, tensor)));
     }
 
     private static RankProperties createRankPropertiesWithTensors(List<Entry> entries) {
@@ -94,7 +91,7 @@ public class RankFeaturesTestCase {
         return result;
     }
 
-    private static Map<String, Object> decode(TensorType type, byte[] encodedProperties) {
+    private static Map<String, Object> decode(byte[] encodedProperties) {
         GrowableByteBuffer buffer = GrowableByteBuffer.wrap(encodedProperties);
         byte[] mapNameBytes = new byte[buffer.getInt()];
         buffer.get(mapNameBytes);
@@ -109,7 +106,7 @@ public class RankFeaturesTestCase {
             if (key.contains(".type")) {
                 result.put(key, Utf8.toString(value));
             } else {
-                result.put(key, TypedBinaryFormat.decode(type, value));
+                result.put(key, TypedBinaryFormat.decode(null, value)); // TODO: Pass type
             }
         }
         return result;
-- 
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