/* * Copyright 2016 * Ubiquitous Knowledge Processing (UKP) Lab * Technische Universität Darmstadt * <p> * 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 * <p> * http://www.apache.org/licenses/LICENSE-2.0 * <p> * 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.dkpro.core.api.embeddings; import de.tudarmstadt.ukp.dkpro.core.testing.DkproTestContext; import org.junit.Rule; import org.junit.Test; import java.io.IOException; import java.util.Arrays; import static org.junit.Assert.assertTrue; public class VectorizerUtilsTest { @Rule public DkproTestContext testContext = new DkproTestContext(); @Test public void testRandomVectorStable() throws IOException { float[] unk1 = VectorizerUtils.randomVector(3); float[] unk2 = VectorizerUtils.randomVector(3); assertTrue("Random vector for unknown words should always be the same.", Arrays.equals(unk1, unk2)); } }