/* LanguageTool, a natural language style checker * Copyright (C) 2015 Daniel Naber (http://www.danielnaber.de) * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Lesser General Public * License as published by the Free Software Foundation; either * version 2.1 of the License, or (at your option) any later version. * * This library is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with this library; if not, write to the Free Software * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 * USA */ package org.languagetool.languagemodel; import org.junit.Test; import org.languagetool.rules.ngrams.FakeLanguageModel; import org.languagetool.rules.ngrams.Probability; import java.io.IOException; import java.util.Arrays; import java.util.Collections; import static org.hamcrest.core.Is.is; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertThat; public class BaseLanguageModelTest { @Test public void testPseudoProbability() throws IOException { try (FakeLanguageModel lm = new FakeLanguageModel()) { Probability prob1 = lm.getPseudoProbability(Arrays.asList("no", "data", "here")); double delta = 0.001; assertEquals(0.0081, prob1.getProb(), delta); // artificially not zero assertThat(prob1.getCoverage(), is(0.0f)); Probability prob2 = lm.getPseudoProbability(Arrays.asList("1", "2", "3", "4")); assertEquals(0.0081, prob2.getProb(), delta); // artificially not zero assertThat(prob2.getCoverage(), is(0.0f)); Probability prob3 = lm.getPseudoProbability(Arrays.asList("There", "are")); assertEquals(0.089, prob3.getProb(), delta); assertThat(prob3.getCoverage(), is(0.5f)); } } @Test(expected = IndexOutOfBoundsException.class) public void testPseudoProbabilityFail1() throws IOException { try (FakeLanguageModel lm = new FakeLanguageModel()) { lm.getPseudoProbability(Collections.<String>emptyList()); } } }