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// Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor.serialization;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorType;
import org.junit.Test;
import java.nio.charset.StandardCharsets;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.fail;
/**
* @author bratseth
*/
public class JsonFormatTestCase {
@Test
public void testSparseTensor() {
Tensor.Builder builder = Tensor.Builder.of(TensorType.fromSpec("tensor(x{},y{})"));
builder.cell().label("x", "a").label("y", "b").value(2.0);
builder.cell().label("x", "c").label("y", "d").value(3.0);
Tensor tensor = builder.build();
byte[] json = JsonFormat.encode(tensor);
assertEquals("{\"cells\":[" +
"{\"address\":{\"x\":\"a\",\"y\":\"b\"},\"value\":2.0}," +
"{\"address\":{\"x\":\"c\",\"y\":\"d\"},\"value\":3.0}" +
"]}",
new String(json, StandardCharsets.UTF_8));
Tensor decoded = JsonFormat.decode(tensor.type(), json);
assertEquals(tensor, decoded);
}
@Test
public void testSingleSparseDimensionShortForm() {
Tensor.Builder builder = Tensor.Builder.of(TensorType.fromSpec("tensor(x{})"));
builder.cell().label("x", "a").value(2.0);
builder.cell().label("x", "c").value(3.0);
Tensor expected = builder.build();
String json= "{\"cells\":{" +
"\"a\":2.0," +
"\"c\":3.0" +
"}}";
Tensor decoded = JsonFormat.decode(expected.type(), json.getBytes(StandardCharsets.UTF_8));
assertEquals(expected, decoded);
}
@Test
public void testDenseTensor() {
Tensor.Builder builder = Tensor.Builder.of(TensorType.fromSpec("tensor(x[2],y[2])"));
builder.cell().label("x", 0).label("y", 0).value(2.0);
builder.cell().label("x", 0).label("y", 1).value(3.0);
builder.cell().label("x", 1).label("y", 0).value(5.0);
builder.cell().label("x", 1).label("y", 1).value(7.0);
Tensor tensor = builder.build();
byte[] json = JsonFormat.encode(tensor);
assertEquals("{\"cells\":[" +
"{\"address\":{\"x\":\"0\",\"y\":\"0\"},\"value\":2.0}," +
"{\"address\":{\"x\":\"0\",\"y\":\"1\"},\"value\":3.0}," +
"{\"address\":{\"x\":\"1\",\"y\":\"0\"},\"value\":5.0}," +
"{\"address\":{\"x\":\"1\",\"y\":\"1\"},\"value\":7.0}" +
"]}",
new String(json, StandardCharsets.UTF_8));
Tensor decoded = JsonFormat.decode(tensor.type(), json);
assertEquals(tensor, decoded);
}
@Test
public void testDenseTensorInDenseForm() {
Tensor.Builder builder = Tensor.Builder.of(TensorType.fromSpec("tensor(x[2],y[3])"));
builder.cell().label("x", 0).label("y", 0).value(2.0);
builder.cell().label("x", 0).label("y", 1).value(3.0);
builder.cell().label("x", 0).label("y", 2).value(4.0);
builder.cell().label("x", 1).label("y", 0).value(5.0);
builder.cell().label("x", 1).label("y", 1).value(6.0);
builder.cell().label("x", 1).label("y", 2).value(7.0);
Tensor expected = builder.build();
String denseJson = "{\"values\":[2.0, 3.0, 4.0, 5.0, 6.0, 7.0]}";
Tensor decoded = JsonFormat.decode(expected.type(), denseJson.getBytes(StandardCharsets.UTF_8));
assertEquals(expected, decoded);
}
@Test
public void testMixedTensorInMixedForm() {
Tensor.Builder builder = Tensor.Builder.of(TensorType.fromSpec("tensor(x{},y[3])"));
builder.cell().label("x", 0).label("y", 0).value(2.0);
builder.cell().label("x", 0).label("y", 1).value(3.0);
builder.cell().label("x", 0).label("y", 2).value(4.0);
builder.cell().label("x", 1).label("y", 0).value(5.0);
builder.cell().label("x", 1).label("y", 1).value(6.0);
builder.cell().label("x", 1).label("y", 2).value(7.0);
Tensor expected = builder.build();
String mixedJson = "{\"blocks\":[" +
"{\"address\":{\"x\":\"0\"},\"values\":[2.0,3.0,4.0]}," +
"{\"address\":{\"x\":\"1\"},\"values\":[5.0,6.0,7.0]}" +
"]}";
Tensor decoded = JsonFormat.decode(expected.type(), mixedJson.getBytes(StandardCharsets.UTF_8));
assertEquals(expected, decoded);
}
@Test
public void testMixedTensorInMixedFormWithSingleSparseDimensionShortForm() {
Tensor.Builder builder = Tensor.Builder.of(TensorType.fromSpec("tensor(x{},y[3])"));
builder.cell().label("x", 0).label("y", 0).value(2.0);
builder.cell().label("x", 0).label("y", 1).value(3.0);
builder.cell().label("x", 0).label("y", 2).value(4.0);
builder.cell().label("x", 1).label("y", 0).value(5.0);
builder.cell().label("x", 1).label("y", 1).value(6.0);
builder.cell().label("x", 1).label("y", 2).value(7.0);
Tensor expected = builder.build();
String mixedJson = "{\"blocks\":{" +
"\"0\":[2.0,3.0,4.0]," +
"\"1\":[5.0,6.0,7.0]" +
"}}";
Tensor decoded = JsonFormat.decode(expected.type(), mixedJson.getBytes(StandardCharsets.UTF_8));
assertEquals(expected, decoded);
}
@Test
public void testTooManyCells() {
TensorType x2 = TensorType.fromSpec("tensor(x[2])");
String json = "{\"cells\":[" +
"{\"address\":{\"x\":\"0\"},\"value\":2.0}," +
"{\"address\":{\"x\":\"1\"},\"value\":3.0}," +
"{\"address\":{\"x\":\"2\"},\"value\":5.0}" +
"]}";
try {
JsonFormat.decode(x2, json.getBytes(StandardCharsets.UTF_8));
fail("Excpected exception");
}
catch (IllegalArgumentException e) {
assertEquals("cell address (2) is not within the bounds of tensor(x[2])", e.getMessage());
}
}
private void assertEncodeDecode(Tensor tensor) {
Tensor decoded = JsonFormat.decode(tensor.type(), JsonFormat.encodeWithType(tensor));
assertEquals(tensor, decoded);
assertEquals(tensor.type(), decoded.type());
}
@Test
public void testTensorCellTypes() {
assertEncodeDecode(Tensor.from("tensor(x[2],y[2]):[2.0, 3.0, 5.0 ,8.0]"));
assertEncodeDecode(Tensor.from("tensor<double>(x[2],y[2]):[2.0, 3.0, 5.0 ,8.0]"));
assertEncodeDecode(Tensor.from("tensor<float>(x[2],y[2]):[2.0, 3.0, 5.0 ,8.0]"));
assertEncodeDecode(Tensor.from("tensor<bfloat16>(x[2],y[2]):[2.0, 3.0, 5.0 ,8.0]"));
assertEncodeDecode(Tensor.from("tensor<int8>(x[2],y[2]):[2,3,5,8]"));
}
}
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