From c10677061733478b8e4028fafc68f05972877643 Mon Sep 17 00:00:00 2001
From: Jon Bratseth <jonbratseth@yahoo.com>
Date: Thu, 12 Jan 2017 21:48:54 +0100
Subject: Revert "Bratseth/tensor type info in documents"

---
 .../src/main/java/com/yahoo/tensor/TensorType.java    | 19 -------------------
 .../tensor/serialization/SparseBinaryFormat.java      | 14 +++++++++++++-
 .../yahoo/tensor/serialization/TypedBinaryFormat.java |  2 +-
 3 files changed, 14 insertions(+), 21 deletions(-)

(limited to 'vespajlib/src/main/java/com/yahoo/tensor')

diff --git a/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java b/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java
index b0132693fa3..fbc469c1829 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java
@@ -74,25 +74,6 @@ public class TensorType {
         return Optional.empty();
     }
 
-    /** 
-     * Returns whether a tensor of the given type can be assigned to this type,
-     * i.e of this type is a generalization of the given type.
-     */
-    public boolean isAssignableTo(TensorType other) {
-        if (other.dimensions().size() != this.dimensions().size()) return false;
-        for (int i = 0; i < other.dimensions().size(); i++) {
-            Dimension thisDimension = this.dimensions().get(i);
-            Dimension otherDimension = other.dimensions().get(i);
-            if (thisDimension.isIndexed() != otherDimension.isIndexed()) return false;
-            if ( ! thisDimension.name().equals(otherDimension.name())) return false;
-            if (thisDimension.size().isPresent()) {
-                if ( ! otherDimension.size().isPresent()) return false;
-                if (otherDimension.size().get() > thisDimension.size().get() ) return false;
-            }
-        }
-        return true;
-    }
-
     @Override
     public String toString() {
         return "tensor(" + dimensions.stream().map(Dimension::toString).collect(Collectors.joining(",")) + ")";
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/serialization/SparseBinaryFormat.java b/vespajlib/src/main/java/com/yahoo/tensor/serialization/SparseBinaryFormat.java
index 8ab23c8d77c..30b36e83457 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/serialization/SparseBinaryFormat.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/serialization/SparseBinaryFormat.java
@@ -54,12 +54,24 @@ class SparseBinaryFormat implements BinaryFormat {
 
     @Override
     public Tensor decode(TensorType type, GrowableByteBuffer buffer) {
-        consumeAndValidateDimensions(type, buffer);
+        if (type == null) // TODO (January 2017): Remove this when types are available
+            type = decodeDimensionsToType(buffer);
+        else
+            consumeAndValidateDimensions(type, buffer);
         Tensor.Builder builder = Tensor.Builder.of(type);
         decodeCells(buffer, builder, type);
         return builder.build();
     }
 
+    private TensorType decodeDimensionsToType(GrowableByteBuffer buffer) {
+        TensorType.Builder builder = new TensorType.Builder();
+        int numDimensions = buffer.getInt1_4Bytes();
+        for (int i = 0; i < numDimensions; ++i) {
+            builder.mapped(buffer.getUtf8String());
+        }
+        return builder.build();
+    }
+
     private void consumeAndValidateDimensions(TensorType type, GrowableByteBuffer buffer) {
         int dimensionCount = buffer.getInt1_4Bytes();
         if (type.dimensions().size() != dimensionCount)
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/serialization/TypedBinaryFormat.java b/vespajlib/src/main/java/com/yahoo/tensor/serialization/TypedBinaryFormat.java
index 19c1810d928..65216aa2fcd 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/serialization/TypedBinaryFormat.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/serialization/TypedBinaryFormat.java
@@ -24,7 +24,7 @@ public class TypedBinaryFormat {
 
     public static byte[] encode(Tensor tensor) {
         GrowableByteBuffer buffer = new GrowableByteBuffer();
-        if (tensor instanceof IndexedTensor) {
+        if (tensor instanceof IndexedTensor && 1==2) { // TODO: Activate when we have type information everywhere
             buffer.putInt1_4Bytes(DENSE_BINARY_FORMAT_TYPE);
             new DenseBinaryFormat().encode(buffer, tensor);
         }
-- 
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