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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor;
import org.junit.Test;
import java.util.Collections;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import static org.junit.Assert.fail;
/**
* @author bratseth
*/
public class IndexedTensorTestCase {
private final int vSize = 1;
private final int wSize = 2;
private final int xSize = 3;
private final int ySize = 4;
private final int zSize = 5;
@Test
public void testEmpty() {
Tensor empty = Tensor.Builder.of(TensorType.empty).build();
assertEquals(1, empty.size());
assertEquals(0.0, empty.valueIterator().next(), 0.00000001);
Tensor emptyFromString = Tensor.from(TensorType.empty, "{}");
assertEquals(empty, emptyFromString);
}
@Test
public void testSingleValue() {
Tensor singleValue = Tensor.Builder.of(TensorType.empty).cell(TensorAddress.of(), 3.5).build();
assertTrue(singleValue instanceof IndexedTensor);
assertEquals("tensor():{3.5}", singleValue.toString());
Tensor singleValueFromString = Tensor.from(TensorType.empty, "{3.5}");
assertEquals("tensor():{3.5}", singleValueFromString.toString());
assertTrue(singleValueFromString instanceof IndexedTensor);
assertEquals(singleValue, singleValueFromString);
}
@Test
public void testNegativeLabels() {
TensorAddress numeric = TensorAddress.of(-1, 0, 1, 1234567, -1234567);
assertEquals("-1", numeric.label(0));
assertEquals("0", numeric.label(1));
assertEquals("1", numeric.label(2));
assertEquals("1234567", numeric.label(3));
assertEquals("-1234567", numeric.label(4));
}
private void verifyFloat(String spec) {
float [] floats = {1.0f, 2.0f, 3.0f};
Tensor tensor = IndexedTensor.Builder.of(TensorType.fromSpec(spec), floats).build();
int index = 0;
for (Double cell : tensor.cells().values()) {
assertEquals(cell, Double.valueOf(floats[index++]));
}
}
private void verifyDouble(String spec) {
double [] values = {1.0, 2.0, 3.0};
Tensor tensor = IndexedTensor.Builder.of(TensorType.fromSpec(spec), values).build();
int index = 0;
for (Double cell : tensor.cells().values()) {
assertEquals(cell, Double.valueOf(values[index++]));
}
}
@Test
public void testBoundHandoverBuilding() {
verifyFloat("tensor<float>(x[3])");
verifyDouble("tensor<float>(x[3])");
verifyFloat("tensor<double>(x[3])");
verifyDouble("tensor<double>(x[3])");
try {
verifyDouble("tensor<double>(x[4])");
fail("Expect IllegalArgumentException");
} catch (IllegalArgumentException e) {
assertEquals("Invalid size(3) of supplied value vector. Type specifies that size should be 4", e.getMessage());
}
}
@Test
public void testBoundBuilding() {
TensorType type = new TensorType.Builder().indexed("v", vSize)
.indexed("w", wSize)
.indexed("x", xSize)
.indexed("y", ySize)
.indexed("z", zSize)
.build();
assertBuildingVWXYZ(type);
}
@Test
public void testUnboundBuilding() {
TensorType type = new TensorType.Builder().indexed("w")
.indexed("v")
.indexed("x")
.indexed("y")
.indexed("z").build();
assertBuildingVWXYZ(type);
}
@Test
public void testUnderspecifiedBuilding() {
TensorType type = new TensorType.Builder().indexed("x").build();
Tensor.Builder builder = Tensor.Builder.of(type);
builder.cell(47.0, 98);
Tensor tensor = builder.build();
assertEquals(47.0, tensor.sum(Collections.singletonList("x")).asDouble(), 0.000001);
}
private void assertBuildingVWXYZ(TensorType type) {
IndexedTensor.Builder builder = IndexedTensor.Builder.of(type);
// Build in scrambled order
for (int v = 0; v < vSize; v++)
for (int w = 0; w < wSize; w++)
for (int y = 0; y < ySize; y++)
for (int x = xSize - 1; x >= 0; x--)
for (int z = 0; z < zSize; z++)
builder.cell(value(v, w, x, y, z), v, w, x, y, z);
IndexedTensor tensor = builder.build();
// Lookup by index arguments
for (int v = 0; v < vSize; v++)
for (int w = 0; w < wSize; w++)
for (int y = 0; y < ySize; y++)
for (int x = xSize - 1; x >= 0; x--)
for (int z = 0; z < zSize; z++)
assertEquals(value(v, w, x, y, z), (int) tensor.get(v, w, x, y, z));
// Lookup by TensorAddress argument
for (int v = 0; v < vSize; v++)
for (int w = 0; w < wSize; w++)
for (int y = 0; y < ySize; y++)
for (int x = xSize - 1; x >= 0; x--)
for (int z = 0; z < zSize; z++)
assertEquals(value(v, w, x, y, z), (int) tensor.get(TensorAddress.of(v, w, x, y, z)));
// Lookup from cells
Map<TensorAddress, Double> cells = tensor.cells();
assertEquals(tensor.size(), cells.size());
for (int v = 0; v < vSize; v++)
for (int w = 0; w < wSize; w++)
for (int y = 0; y < ySize; y++)
for (int x = xSize - 1; x >= 0; x--)
for (int z = 0; z < zSize; z++)
assertEquals(value(v, w, x, y, z), cells.get(TensorAddress.of(v, w, x, y, z)).intValue());
// Lookup from iterator
Map<TensorAddress, Double> cellsOfIterator = new HashMap<>();
for (Iterator<Tensor.Cell> i = tensor.cellIterator(); i.hasNext(); ) {
Tensor.Cell cell = i.next();
cellsOfIterator.put(cell.getKey(), cell.getValue());
assertEquals(cell.getValue(), cell.getDoubleValue(), 0.00001);
assertEquals(cell.getValue(), cell.getFloatValue(), 0.00001);
}
assertEquals(tensor.size(), cellsOfIterator.size());
for (int v = 0; v < vSize; v++)
for (int w = 0; w < wSize; w++)
for (int y = 0; y < ySize; y++)
for (int x = xSize - 1; x >= 0; x--)
for (int z = 0; z < zSize; z++)
assertEquals(value(v, w, x, y, z), cellsOfIterator.get(TensorAddress.of(v, w, x, y, z)).intValue());
}
/** Returns a unique value for some given cell indexes */
private int value(int v, int w, int x, int y, int z) {
return v + 3 * w + 7 * x + 11 * y + 13 * z;
}
}
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