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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor.functions;
import com.yahoo.tensor.Tensor;
import org.junit.Test;
import java.util.List;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.fail;
/**
* @author bratseth
*/
public class SliceTestCase {
private static final double delta = 0.000001;
@Test
public void testSliceFunctionGeneralFormToRank0() {
Tensor input = Tensor.from("tensor(key{},x{}):{ {key:foo,x:0}:1.4, {key:bar,x:0}:2.3 }");
Tensor result = new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>("key", "bar"),
new Slice.DimensionValue<>("x", 0)))
.evaluate();
assertEquals(0, result.type().rank());
assertEquals(2.3, result.asDouble(), delta);
}
@Test
public void testSliceFunctionGeneralFormToRank0ReverseDimensionOrder() {
Tensor input = Tensor.from("tensor(key{},x{}):{ {key:foo,x:0}:1.4, {key:bar,x:0}:2.3 }");
Tensor result = new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>("x", 0),
new Slice.DimensionValue<>("key", "bar")))
.evaluate();
assertEquals(0, result.type().rank());
assertEquals(2.3, result.asDouble(), delta);
}
@Test
public void testSliceFunctionGeneralFormToIndexedRank2to1() {
Tensor input = Tensor.from("tensor(key{},x[2]):{ {key:foo,x:0}:1.3, {key:foo,x:1}:1.4, {key:bar,x:0}:2.3, {key:bar,x:1}:2.4 }");
Tensor result = new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>("key", "bar")))
.evaluate();
assertEquals(1, result.type().rank());
assertEquals(Tensor.from("tensor(x[2]):[2.3, 2.4]]"), result);
}
@Test
public void testSliceFunctionGeneralFormToMappedRank2to1() {
Tensor input = Tensor.from("tensor(key{},x[2]):{ {key:foo,x:0}:1.3, {key:foo,x:1}:1.4, {key:bar,x:0}:2.3, {key:bar,x:1}:2.4 }");
Tensor result = new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>("x", 0)))
.evaluate();
assertEquals(1, result.type().rank());
assertEquals(Tensor.from("tensor(key{}):{{key:foo}:1.3, {key:bar}:2.3}"), result);
}
@Test
public void testSliceFunctionGeneralFormToMappedRank3to1() {
Tensor input = Tensor.from("tensor(key{},x[2],y[1]):{ {key:foo,x:0,y:0}:1.3, {key:foo,x:1,y:0}:1.4, {key:bar,x:0,y:0}:2.3, {key:bar,x:1,y:0}:2.4 }");
Tensor result = new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>("x", 1),
new Slice.DimensionValue<>("y", 0)))
.evaluate();
assertEquals(1, result.type().rank());
assertEquals(Tensor.from("tensor(key{}):{{key:foo}:1.4, {key:bar}:2.4}"), result);
}
@Test
public void testSliceFunctionGeneralFormToMappedRank3to1ReverseDimensionOrder() {
Tensor input = Tensor.from("tensor(key{},x[2],y[1]):{ {key:foo,x:0,y:0}:1.3, {key:foo,x:1,y:0}:1.4, {key:bar,x:0,y:0}:2.3, {key:bar,x:1,y:0}:2.4 }");
Tensor result = new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>("y", 0),
new Slice.DimensionValue<>("x", 1)))
.evaluate();
assertEquals(1, result.type().rank());
assertEquals(Tensor.from("tensor(key{}):{{key:foo}:1.4, {key:bar}:2.4}"), result);
}
@Test
public void testSliceFunctionGeneralFormToMappedRank3to2() {
Tensor input = Tensor.from("tensor(key{},x[2],y[1]):{ {key:foo,x:0,y:0}:1.3, {key:foo,x:1,y:0}:1.4, {key:bar,x:0,y:0}:2.3, {key:bar,x:1,y:0}:2.4 }");
Tensor result = new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>("x", 1)))
.evaluate();
assertEquals(2, result.type().rank());
assertEquals(Tensor.from("tensor(key{},y[1]):{{key:foo,y:0}:1.4, {key:bar,y:0}:2.4}"), result);
}
@Test
public void testSliceFunctionSingleMappedDimensionToRank0() {
Tensor input = Tensor.from("tensor(key{}):{ {key:foo}:1.4, {key:bar}:2.3 }");
Tensor result = new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>("foo")))
.evaluate();
assertEquals(0, result.type().rank());
assertEquals(1.4, result.asDouble(), delta);
}
@Test
public void testSliceFunctionSingleIndexedDimensionToRank0() {
Tensor input = Tensor.from("tensor(key[3]):[1.1, 2.2, 3.3]");
Tensor result = new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>(2)))
.evaluate();
assertEquals(0, result.type().rank());
assertEquals(3.3, result.asDouble(), delta);
}
@Test
public void testSliceFunctionShortFormWithMultipleDimensionsIsNotAllowed() {
try {
Tensor input = Tensor.from("tensor(key{},x{}):{ {key:foo,x:0}:1.4, {key:bar,x:0}:2.3 }");
new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>("bar"),
new Slice.DimensionValue<>(0)))
.evaluate();
fail("Expected exception");
}
catch (IllegalArgumentException e) {
assertEquals("Short form of subspace addresses is only supported with a single dimension: Specify dimension names explicitly instead",
e.getMessage());
}
}
@Test
public void testToString() {
Tensor input = Tensor.from("tensor(key[3]):[1.1, 2.2, 3.3]");
assertEquals("tensor(key[3]):[1.1, 2.2, 3.3][2]",
new Slice<>(new ConstantTensor<>(input),
List.of(new Slice.DimensionValue<>(2)))
.toString());
}
}
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