/*- * * * 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()); } }