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📄 sparsevectortest.java

📁 另一个功能更强大的矩阵运算软件开源代码
💻 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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