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Added test for getN() and evaluate/getResult consistency test for small samples. 

git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@141371 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Phil Steitz 2004-07-10 17:14:15 +00:00
parent 65b57b6018
commit 2f88509be4
1 changed files with 13 additions and 2 deletions
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15
src/test/org/apache/commons/math/stat/univariate/StorelessUnivariateStatisticAbstractTest.java
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@ -20,7 +20,7 @@ import org.apache.commons.math.stat.univariate.moment.SecondMoment;
/**
* Test cases for {@link StorelessUnivariateStatistic} classes.
* @version $Revision: 1.15 $ $Date: 2004/07/07 12:50:50 $
* @version $Revision: 1.16 $ $Date: 2004/07/10 17:14:15 $
*/
public abstract class StorelessUnivariateStatisticAbstractTest
extends UnivariateStatisticAbstractTest {
@ -28,6 +28,9 @@ public abstract class StorelessUnivariateStatisticAbstractTest
public StorelessUnivariateStatisticAbstractTest(String name) {
super(name);
}
/** Small sample arrays */
protected double[][] smallSamples = {{}, {1}, {1,2}, {1,2,3}, {1,2,3,4}};
/** Return a new instance of the statistic */
public abstract UnivariateStatistic getUnivariateStatistic();
@ -48,11 +51,12 @@ public abstract class StorelessUnivariateStatisticAbstractTest
}
assertEquals(expectedValue(), statistic.getResult(), getTolerance());
//TODO: add test for getN() once type is fixed
assertEquals(testArray.length, statistic.getN());
statistic.clear();
assertTrue(Double.isNaN(statistic.getResult()));
assertEquals(0, statistic.getN());
}
@ -145,6 +149,13 @@ public abstract class StorelessUnivariateStatisticAbstractTest
StorelessUnivariateStatistic stat = (StorelessUnivariateStatistic) getUnivariateStatistic();
stat.incrementAll(testArray);
assertEquals(stat.getResult(), stat.evaluate(testArray), getTolerance());
for (int i = 0; i < smallSamples.length; i++) {
stat.clear();
for (int j =0; j < smallSamples[i].length; j++) {
stat.increment(smallSamples[i][j]);
}
TestUtils.assertEquals(stat.getResult(), stat.evaluate(smallSamples[i]), getTolerance());
}
}
}