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Added test for consistency of cumulativeProbability(double,double) and cumulativeProbability(double). Contributed by Christian Winter. 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1173313 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Phil Steitz 2011-09-20 19:20:59 +00:00
parent 112b496420
commit 1019cefed6
1 changed files with 19 additions and 0 deletions
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19
src/test/java/org/apache/commons/math/distribution/ContinuousDistributionAbstractTest.java
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@ -20,6 +20,7 @@ package org.apache.commons.math.distribution;
import org.apache.commons.math.TestUtils;
import org.apache.commons.math.util.FastMath;
import org.apache.commons.math.exception.MathIllegalArgumentException;
import org.apache.commons.math.exception.NumberIsTooLargeException;
import org.junit.After;
import org.junit.Assert;
import org.junit.Before;
@ -144,12 +145,30 @@ public abstract class ContinuousDistributionAbstractTest {
* using current test instance data
*/
protected void verifyCumulativeProbabilities() throws Exception {
// verify cumulativeProbability(double)
for (int i = 0; i < cumulativeTestPoints.length; i++) {
TestUtils.assertEquals("Incorrect cumulative probability value returned for "
+ cumulativeTestPoints[i], cumulativeTestValues[i],
distribution.cumulativeProbability(cumulativeTestPoints[i]),
getTolerance());
}
// verify cumulativeProbability(double, double)
for (int i = 0; i < cumulativeTestPoints.length; i++) {
for (int j = 0; j < cumulativeTestPoints.length; j++) {
if (cumulativeTestPoints[i] <= cumulativeTestPoints[j]) {
TestUtils.assertEquals(cumulativeTestValues[j] - cumulativeTestValues[i],
distribution.cumulativeProbability(cumulativeTestPoints[i], cumulativeTestPoints[j]),
getTolerance());
} else {
try {
distribution.cumulativeProbability(cumulativeTestPoints[i], cumulativeTestPoints[j]);
} catch (NumberIsTooLargeException e) {
continue;
}
Assert.fail("distribution.cumulativeProbability(double, double) should have thrown an exception that second argument is too large");
}
}
}
}
/**