/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package opennlp.tools.util.featuregen;
import java.util.ArrayList;
import java.util.List;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
/**
* Test for the {@link WindowFeatureGenerator} class.
*/
public class WindowFeatureGeneratorTest {
private String[] testSentence = new String[] {"a", "b", "c", "d",
"e", "f", "g", "h"};
private List<String> features;
@Before
public void setUp() throws Exception {
features = new ArrayList<>();
}
/**
* Tests if the {@link WindowFeatureGenerator} works as specified, with a previous
* and next window size of zero.
*/
@Test
public void testWithoutWindow() {
AdaptiveFeatureGenerator windowFeatureGenerator = new WindowFeatureGenerator(
new IdentityFeatureGenerator(), 0, 0);
int testTokenIndex = 2;
windowFeatureGenerator.createFeatures(features, testSentence, testTokenIndex, null);
Assert.assertEquals(1, features.size());
Assert.assertEquals(features.get(0), testSentence[testTokenIndex]);
}
@Test
public void testWindowSizeOne() {
AdaptiveFeatureGenerator windowFeatureGenerator = new WindowFeatureGenerator(
new IdentityFeatureGenerator(), 1, 1);
int testTokenIndex = 2;
windowFeatureGenerator.createFeatures(features, testSentence, testTokenIndex, null);
Assert.assertEquals(3, features.size());
}
@Test
public void testWindowAtBeginOfSentence() {
AdaptiveFeatureGenerator windowFeatureGenerator = new WindowFeatureGenerator(
new IdentityFeatureGenerator(), 1, 0);
int testTokenIndex = 0;
windowFeatureGenerator.createFeatures(features, testSentence, testTokenIndex, null);
Assert.assertEquals(1, features.size());
Assert.assertEquals(features.get(0), testSentence[testTokenIndex]);
}
@Test
public void testWindowAtEndOfSentence() {
AdaptiveFeatureGenerator windowFeatureGenerator = new WindowFeatureGenerator(
new IdentityFeatureGenerator(), 0, 1);
int testTokenIndex = testSentence.length - 1;
windowFeatureGenerator.createFeatures(features, testSentence, testTokenIndex, null);
Assert.assertEquals(1, features.size());
Assert.assertEquals(features.get(0), testSentence[testTokenIndex]);
}
/**
* Tests for a window size of previous and next 2 if the features are correct.
*/
@Test
public void testForCorrectFeatures() {
AdaptiveFeatureGenerator windowFeatureGenerator = new WindowFeatureGenerator(
new IdentityFeatureGenerator(), 2, 2);
int testTokenIndex = 3;
windowFeatureGenerator.createFeatures(features, testSentence, testTokenIndex, null);
Assert.assertEquals(5, features.size());
Assert.assertTrue(features.contains(WindowFeatureGenerator.PREV_PREFIX + "2" +
testSentence[testTokenIndex - 2]));
Assert.assertTrue(features.contains(WindowFeatureGenerator.PREV_PREFIX + "1" +
testSentence[testTokenIndex - 1]));
Assert.assertTrue(features.contains(testSentence[testTokenIndex]));
Assert.assertTrue(features.contains(WindowFeatureGenerator.NEXT_PREFIX + "1" +
testSentence[testTokenIndex + 1]));
Assert.assertTrue(features.contains(WindowFeatureGenerator.NEXT_PREFIX + "2" +
testSentence[testTokenIndex + 2]));
}
}