📄 sparsevectortest.java
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/* * Copyright (C) 2003-2006 Bjørn-Ove Heimsund * * This file is part of MTJ. * * 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., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */package no.uib.cipr.matrix.sparse;import java.util.Arrays;import no.uib.cipr.matrix.DenseVector;import no.uib.cipr.matrix.Vector;import no.uib.cipr.matrix.sparse.SparseVector;import no.uib.cipr.matrix.Utilities;import no.uib.cipr.matrix.VectorTestAbstract;/** * Test of SparseVector */public class SparseVectorTest extends VectorTestAbstract { public SparseVectorTest(String arg0) { super(arg0); } @Override protected void createPrimary() throws Exception { int n = Utilities.getInt(1, max); int m = Math.min(Utilities.getInt(max), n); x = new SparseVector(n); xd = Utilities.populate(x, m); } public void testSparseVectorIndices() { // NOTE: the MTJ compact behaviour has been patched in our (TT) codebase /* * MTJ subtlety in getIndex() for SparseVector. before calling * getIndex(), you must call compact()... implementations may choose to * do nothing in this call, but the Intel extended LAPACK * implementations (and MTJ's SparseVector) require it. An alternative * to vector.getIndex() is VectorMethods.getIndex(Vector) which will * wrap this for you. It can take an arbitrary Vector and if it can be * cast to a SparseVector will compact it and use its getIndex() method * instead. (just so you're aware of this). Sam. */ // check that "infinite dimensions" doesn't use infinite memory SparseVector vector = new SparseVector(Integer.MAX_VALUE); int[] index = vector.getIndex(); assert index != null; assert index.length == 0; // check that creating with double[] with zeros works double[] entries = new double[5]; entries[0] = 0.0; entries[1] = 0.0; entries[2] = 1.0; entries[3] = 0.0; entries[4] = 2.0; Vector dense = new DenseVector(entries, false); vector = new SparseVector(dense); // NOTE: must compact before calling getIndex()!!! // vector.compact(); index = vector.getIndex(); assert index != null; assert index.length == 5 : "expected length of 5, but got " + index.length + ", with elements " + Arrays.toString(index); }}
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