package edu.stanford.nlp.naturalli;
import edu.stanford.nlp.international.Language;
import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.ling.IndexedWord;
import edu.stanford.nlp.semgraph.SemanticGraphEdge;
import edu.stanford.nlp.trees.GrammaticalRelation;
import edu.stanford.nlp.util.Pair;
import org.junit.Ignore;
import org.junit.Test;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;
import java.util.function.Supplier;
import java.util.stream.Collectors;
import static org.junit.Assert.assertNotNull;
import static org.junit.Assert.assertTrue;
/**
* TODO(gabor) JavaDoc
*
* @author Gabor Angeli
*/
@SuppressWarnings("unchecked")
@Ignore // TODO(gabor) ignore until the models get formally added
public class NaturalLogicWeightsITest {
private static Supplier<NaturalLogicWeights> weights = new Supplier<NaturalLogicWeights>() {
NaturalLogicWeights weights = null;
@Override
public NaturalLogicWeights get() {
if (weights == null) {
try {
weights = new NaturalLogicWeights("edu/stanford/nlp/naturalli/", 1.0 / 3.0);
} catch (IOException e) {
return null;
}
}
return weights;
}
};
private CoreLabel mockWord(String text) {
CoreLabel word = new CoreLabel();
word.setOriginalText(text);
word.setWord(text);
return word;
}
private Pair<SemanticGraphEdge, List<SemanticGraphEdge>> mkSegment(
String root, Pair<String, String>... outEdges) {
IndexedWord rootVertex = new IndexedWord(mockWord(root));
List<SemanticGraphEdge> edges = Arrays.asList(outEdges).stream().map(pair -> new SemanticGraphEdge(rootVertex,
new IndexedWord(mockWord(pair.second)),
GrammaticalRelation.valueOf(Language.English, pair.first), Double.NEGATIVE_INFINITY, false)).collect(Collectors.toList());
return Pair.makePair(edges.get(0), edges);
}
@Test
public void testLoadWeightsDoesntCrash() throws IOException {
assertNotNull(weights.get());
}
@Test
public void testSomeSanityChecks() throws IOException {
Pair<SemanticGraphEdge, List<SemanticGraphEdge>> spec = mkSegment(
"signed", Pair.makePair("prep_into", "law"), Pair.makePair("nsubj", "Obama"));
assertTrue(0.5 > weights.get().deletionProbability(spec.first, spec.second));
spec = mkSegment(
"threw", Pair.makePair("prep_at", "her"), Pair.makePair("nsubj", "he"), Pair.makePair("dobj", "ball"));
assertTrue(0.5 < weights.get().deletionProbability(spec.first, spec.second));
}
}