/*-
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed 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 org.deeplearning4j.util;
import org.deeplearning4j.berkeley.Pair;
import org.deeplearning4j.text.movingwindow.ContextLabelRetriever;
import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
import org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory;
import org.junit.Before;
import org.junit.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.ArrayList;
import java.util.List;
import static org.junit.Assert.assertEquals;
/**
* Basic test case for the context label test
*/
public class ContextLabelTest {
private static final Logger log = LoggerFactory.getLogger(ContextLabelTest.class);
private TokenizerFactory tokenizerFactory;
@Before
public void init() throws Exception {
if (tokenizerFactory == null) {
tokenizerFactory = new UimaTokenizerFactory(false);
}
}
@Test
public void testBasicLabel() {
String labeledSentence = "<NEGATIVE> This sucks really bad </NEGATIVE> .";
Pair<String, MultiDimensionalMap<Integer, Integer, String>> ret =
ContextLabelRetriever.stringWithLabels(labeledSentence, tokenizerFactory);
//positive and none
assertEquals(2, ret.getSecond().size());
List<String> vals = new ArrayList<>(ret.getSecond().values());
assertEquals(true, vals.contains("NEGATIVE"));
assertEquals(true, vals.contains("none"));
assertEquals("This sucks really bad .", ret.getFirst());
}
}