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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;
/**
* @author bratseth
*/
public class JsonFormatTestCase {
@Test
public void testJsonEncodingOfSparseTensor() {
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 testJsonEncodingOfDenseTensor() {
Tensor.Builder builder = Tensor.Builder.of(TensorType.fromSpec("tensor(x{},y{})"));
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);
}
}
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