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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.language.tools;
import com.yahoo.language.Language;
import com.yahoo.language.process.Embedder;
import com.yahoo.language.process.Segmenter;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorType;
import java.util.Arrays;
import java.util.List;
import static org.junit.Assert.assertArrayEquals;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
/**
* Tester of embedders.
*
* @author bratseth
*/
public class EmbedderTester {
private final Embedder embedder;
public EmbedderTester(Embedder embedder) {
this.embedder = embedder;
}
/**
* Tests both embedding to a list of id's and encoding the same ids to a vector of the given type.
*
* @param expectedCodes all the expected codes of the given input, not including any trailing 0-paddings
* required for the tensor only
*/
public void assertEmbedded(String input, String tensorType, Integer... expectedCodes) {
TensorType type = TensorType.fromSpec(tensorType);
assertEquals(1, type.dimensions().size());
assertTrue(type.dimensions().get(0).isIndexed());
int tensorSize = type.dimensions().get(0).size().get().intValue();
assertArrayEquals(expectedCodes, embedder.embed(input, new Embedder.Context("test")).toArray());
var builder = Tensor.Builder.of(type);
for (int i = 0; i < tensorSize; i++)
builder.cell(i < expectedCodes.length ? expectedCodes[i] : 0, i);
assertEquals(builder.build(), embedder.embed(input, new Embedder.Context("destination"), type));
}
public void assertSegmented(String input, String... expectedSegments) {
assertSegmented(Language.UNKNOWN, input, expectedSegments);
}
public void assertSegmented(Language language, String input, String... expectedSegments) {
List<String> segments = ((Segmenter)embedder).segment(input, language);
assertArrayEquals("Actual segments: " + segments,
expectedSegments, ((Segmenter)embedder).segment(input, language).toArray());
}
}
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