/*
* 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 2 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, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
/*
* Copyright (C) 2006 University of Waikato, Hamilton, New Zealand
*/
package weka.filters.unsupervised.attribute;
import weka.core.Instance;
import weka.core.Instances;
import weka.filters.AbstractFilterTest;
import weka.filters.Filter;
import junit.framework.Test;
import junit.framework.TestSuite;
/**
* Tests AddValues. Run from the command line with: <p/>
* java weka.filters.unsupervised.attribute.AddValuesTest
*
* @author FracPete (fracpete at waikato dot ac dot nz)
* @version $Revision: 1.2 $
*/
public class AddValuesTest
extends AbstractFilterTest {
/**
* initializes the test
*
* @param name the name of the test
*/
public AddValuesTest(String name) {
super(name);
}
/**
* Creates a default AddValues
*
* @return the configured filter
*/
public Filter getFilter() {
AddValues filter = new AddValues();
filter.setAttributeIndex("2");
return filter;
}
/**
* Creates a specialized AddValues
*
* @param sorted whether to sort
* @param labels the labels to add
* @return the configured filter
*/
public Filter getFilter(boolean sorted, String labels) {
AddValues filter = new AddValues();
filter.setAttributeIndex("2");
filter.setSort(sorted);
filter.setLabels(labels);
return filter;
}
/**
* Compare two datasets to see if they differ.
*
* @param data1 one set of instances
* @param data2 the other set of instances
* @throws Exception if the datasets differ
*/
protected void compareDatasets(Instances data1, Instances data2)
throws Exception {
if (data1.numAttributes() != data2.numAttributes())
throw new Exception("number of attributes has changed");
if (!(data2.numInstances() == data1.numInstances()))
throw new Exception("number of instances has changed");
for (int i = 0; i < data2.numInstances(); i++) {
Instance orig = data1.instance(i);
Instance copy = data2.instance(i);
for (int j = 0; j < orig.numAttributes(); j++) {
if (orig.isMissing(j)) {
if (!copy.isMissing(j))
throw new Exception("instances have changed");
}
else if (!orig.toString(j).equals(copy.toString(j))) {
throw new Exception("instances have changed");
}
if (orig.weight() != copy.weight())
throw new Exception("instance weights have changed");
}
}
}
/**
* performs the tests with the given filter
*
* @param filter the configured filter to use in the tests
*/
protected void performTest(Filter filter) {
m_Filter = filter;
Instances icopy = new Instances(m_Instances);
Instances result = null;
try {
m_Filter.setInputFormat(icopy);
}
catch (Exception ex) {
ex.printStackTrace();
fail("Exception thrown on setInputFormat(): \n" + ex.getMessage());
}
try {
result = Filter.useFilter(m_Instances, m_Filter);
}
catch (Exception ex) {
ex.printStackTrace();
fail("Exception thrown on useFilter(): \n" + ex.getMessage());
}
try {
compareDatasets(icopy, result);
}
catch (Exception ex) {
ex.printStackTrace();
fail("Datasets differ: \n" + ex.getMessage());
}
}
/**
* tests the default settings
*/
public void testDefault() {
performTest(getFilter());
}
/**
* tests the sorting alone
*/
public void testSort() {
performTest(getFilter(true, ""));
}
/**
* tests the adding of labels alone
*/
public void testLabels() {
performTest(getFilter(false, "__blah,__blubber"));
}
/**
* tests the sorting and the adding of labels
*/
public void testSortAndLabels() {
performTest(getFilter(false, "__blah,__blubber"));
}
/**
* tests the filter in conjunction with the FilteredClassifier
*/
public void testFilteredClassifier() {
try {
Instances data = getFilteredClassifierData();
for (int i = 0; i < data.numAttributes(); i++) {
if (data.classIndex() == i)
continue;
if (data.attribute(i).isNominal()) {
((AddValues) m_FilteredClassifier.getFilter()).setAttributeIndex(
"" + (i + 1));
break;
}
}
}
catch (Exception e) {
fail("Problem setting up test for FilteredClassifier: " + e.toString());
}
super.testFilteredClassifier();
}
/**
* returns the test suite
*
* @return the test suite
*/
public static Test suite() {
return new TestSuite(AddValuesTest.class);
}
/**
* for running the test from commandline
*
* @param args the command line arguments - ignored
*/
public static void main(String[] args){
junit.textui.TestRunner.run(suite());
}
}