Added serialization tests.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@141308 13f79535-47bb-0310-9956-ffa450edef68
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@ -27,12 +27,13 @@ import java.util.ArrayList;
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import java.util.Iterator;
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import java.util.Iterator;
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import org.apache.commons.math.RetryTestCase;
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import org.apache.commons.math.RetryTestCase;
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import org.apache.commons.math.TestUtils;
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import org.apache.commons.math.stat.univariate.SummaryStatistics;
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import org.apache.commons.math.stat.univariate.SummaryStatistics;
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/**
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/**
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* Test cases for the EmpiricalDistribution class
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* Test cases for the EmpiricalDistribution class
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*
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*
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* @version $Revision: 1.17 $ $Date: 2004/05/23 00:30:01 $
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* @version $Revision: 1.18 $ $Date: 2004/06/17 23:51:33 $
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*/
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*/
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public final class EmpiricalDistributionTest extends RetryTestCase {
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public final class EmpiricalDistributionTest extends RetryTestCase {
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@ -159,6 +160,30 @@ public final class EmpiricalDistributionTest extends RetryTestCase {
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tstDoubleGen(5);
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tstDoubleGen(5);
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}
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}
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public void testSerialization() {
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// Empty
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EmpiricalDistribution dist = new EmpiricalDistributionImpl();
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EmpiricalDistribution dist2 = (EmpiricalDistribution) TestUtils.serializeAndRecover(dist);
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verifySame(dist, dist2);
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// Loaded
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empiricalDistribution2.load(dataArray);
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dist2 = (EmpiricalDistribution) TestUtils.serializeAndRecover(empiricalDistribution2);
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verifySame(empiricalDistribution2, dist2);
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}
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private void verifySame(EmpiricalDistribution d1, EmpiricalDistribution d2) {
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assertEquals(d1.isLoaded(), d2.isLoaded());
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assertEquals(d1.getBinCount(), d2.getBinCount());
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assertEquals(d1.getSampleStats(), d2.getSampleStats());
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if (d1.isLoaded()) {
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for (int i = 0; i < d1.getUpperBounds().length; i++) {
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assertEquals(d1.getUpperBounds()[i], d2.getUpperBounds()[i], 0);
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}
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assertEquals(d1.getBinStats(), d2.getBinStats());
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}
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}
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private void tstGen(double tolerance)throws Exception {
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private void tstGen(double tolerance)throws Exception {
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empiricalDistribution.load(url);
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empiricalDistribution.load(url);
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SummaryStatistics stats = SummaryStatistics.newInstance();
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SummaryStatistics stats = SummaryStatistics.newInstance();
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