From 7ef86b1fb25f2268d00fa3af87bc1e594de0b1b3 Mon Sep 17 00:00:00 2001
From: Jon Bratseth <bratseth@verizonmedia.com>
Date: Thu, 25 Apr 2019 16:40:00 +0200
Subject: Split values into IndexedDoubleTensor subclass

---
 .../java/com/yahoo/tensor/IndexedDoubleTensor.java | 46 ++++++++++++++++++++++
 1 file changed, 46 insertions(+)
 create mode 100644 vespajlib/src/main/java/com/yahoo/tensor/IndexedDoubleTensor.java

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

diff --git a/vespajlib/src/main/java/com/yahoo/tensor/IndexedDoubleTensor.java b/vespajlib/src/main/java/com/yahoo/tensor/IndexedDoubleTensor.java
new file mode 100644
index 00000000000..27cecdab80c
--- /dev/null
+++ b/vespajlib/src/main/java/com/yahoo/tensor/IndexedDoubleTensor.java
@@ -0,0 +1,46 @@
+// Copyright 2019 Oath Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
+package com.yahoo.tensor;
+
+import java.util.Arrays;
+
+/**
+ * An indexed tensor implementation holding values as doubles
+ *
+ * @author bratseth
+ */
+class IndexedDoubleTensor extends IndexedTensor {
+
+    private final double[] values;
+
+    IndexedDoubleTensor(TensorType type, DimensionSizes dimensionSizes, double[] values) {
+        super(type, dimensionSizes);
+        this.values = values;
+    }
+
+    @Override
+    public long size() {
+        return values.length;
+    }
+
+    /**
+     * Returns the value at the given index by direct lookup. Only use
+     * if you know the underlying data layout.
+     *
+     * @param valueIndex the direct index into the underlying data.
+     * @throws IndexOutOfBoundsException if index is out of bounds
+     */
+    @Override
+    public double get(long valueIndex) { return values[(int)valueIndex]; }
+
+    @Override
+    public IndexedTensor withType(TensorType type) {
+        if ( ! this.type().isRenamableTo(type))
+            throw new IllegalArgumentException("Can not change type from " + this.type() + " to " + type +
+                                               ": Types are not compatible");
+        return new IndexedDoubleTensor(type, dimensionSizes(), values);
+    }
+
+    @Override
+    public int hashCode() { return Arrays.hashCode(values); }
+
+}
-- 
cgit v1.2.3