fi.smaa.libror.GibbsValueFunctionSamplerTest.java Source code

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Here is the source code for fi.smaa.libror.GibbsValueFunctionSamplerTest.java

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/*
 * This file is part of libror.
 * libror is distributed from http://smaa.fi/libror
 * Copyright (C) 2011-15 Tommi Tervonen.
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program 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 General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

package fi.smaa.libror;

import static org.junit.Assert.*;

import java.util.Arrays;

import org.apache.commons.math.linear.Array2DRowRealMatrix;
import org.junit.Before;
import org.junit.Test;

public class GibbsValueFunctionSamplerTest {

    private GibbsValueFunctionSampler s;
    private Array2DRowRealMatrix perfMat;
    private RORModel ror;
    private FullValueFunction spoint;
    private PartialValueFunction vf1;
    private PartialValueFunction vf2;
    private PartialValueFunction vf3;
    private int[] a1inds;
    private int[] a2inds;

    @Before
    public void setUp() throws InvalidStartingPointException {
        double[][] data = new double[][] { { 1, 2, 3 }, { 2, 1, 2 } };
        perfMat = new Array2DRowRealMatrix(data);
        ror = new RORModel(new PerformanceMatrix(perfMat));
        spoint = new FullValueFunction();
        vf1 = new PartialValueFunction(2);
        vf2 = new PartialValueFunction(2);
        vf3 = new PartialValueFunction(2);
        spoint.addValueFunction(vf1);
        spoint.addValueFunction(vf2);
        spoint.addValueFunction(vf3);
        ror.addPreference(0, 1);
        spoint.setWeight(0, 0.0);
        spoint.setWeight(1, 1.0);
        spoint.setWeight(2, 0.0);

        a1inds = new int[] { 0, 1, 1 };
        a2inds = new int[] { 1, 0, 0 };

        s = new GibbsValueFunctionSampler(ror, 10, 2, spoint);
    }

    @Test
    public void testGetNrValueFunctions() {
        assertEquals(10, s.getValueFunctions().length);
    }

    @Test
    public void testGetThinning() {
        assertEquals(2, s.getThinning());
    }

    @Test
    public void testGetStartingPoint() {
        assertEquals(spoint, s.getStartingPoint());
    }

    @Test
    public void testWeightSampling() throws SamplingException {
        double[] origw = spoint.getWeights().clone();
        s.sample();
        double[] neww = s.getValueFunctions()[9].getWeights();
        assertFalse(Arrays.equals(origw, neww));
    }

    @Test
    public void testValueFunctions() throws SamplingException {
        s.sample();
        for (FullValueFunction vf : s.getValueFunctions()) {
            assertTrue(vf.evaluate(a1inds) > vf.evaluate(a2inds));
        }
    }

    @Test(expected = InvalidStartingPointException.class)
    public void testInvalidStartingPointWeights() throws InvalidStartingPointException {
        spoint.setWeight(0, 0.0);
        spoint.setWeight(1, 8.0);
        spoint.setWeight(2, 0.0);
        s = new GibbsValueFunctionSampler(ror, 10, 2, spoint);
    }

    @Test(expected = InvalidStartingPointException.class)
    public void testInvalidStartingPointNrPartialVF() throws InvalidStartingPointException {
        spoint = new FullValueFunction();
        spoint.addValueFunction(vf1);
        spoint.addValueFunction(vf2);

        s = new GibbsValueFunctionSampler(ror, 10, 2, spoint);
    }

    @Test(expected = InvalidStartingPointException.class)
    public void testInvalidStartingPointNrPartialVFLevels() throws InvalidStartingPointException {
        spoint = new FullValueFunction();
        vf1 = new PartialValueFunction(4);
        spoint.addValueFunction(vf1);
        spoint.addValueFunction(vf2);
        spoint.addValueFunction(vf3);

        s = new GibbsValueFunctionSampler(ror, 10, 2, spoint);
    }

    @Test
    public void testGenerateStartingPoint() throws SamplingException {
        FullValueFunction point = s.generateStartingPoint();
        assertTrue(point.evaluate(a1inds) > point.evaluate(a2inds));
    }

    @Test(expected = SamplingException.class)
    public void testGenerateStartingPointInfeasible() throws SamplingException {
        double[][] data = new double[][] { { 1, 1, 1 }, { 0, 0, 0 } };
        perfMat = new Array2DRowRealMatrix(data);
        ror = new RORModel(new PerformanceMatrix(perfMat));
        spoint = new FullValueFunction();
        vf1 = new PartialValueFunction(2);
        vf2 = new PartialValueFunction(2);
        spoint.addValueFunction(vf1);
        spoint.addValueFunction(vf2);
        ror.addPreference(1, 0);

        s = new GibbsValueFunctionSampler(ror, 10, 2);
    }
}