MATH-1021
Reordering can prevent some overflow occurrences (fix suggested by Brian Bloniarz). Added unit test. git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1512546 13f79535-47bb-0310-9956-ffa450edef68
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pom.xml
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pom.xml
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@ -150,6 +150,9 @@
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<contributor>
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<contributor>
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<name>Michael Bjorkegren</name>
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<name>Michael Bjorkegren</name>
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</contributor>
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</contributor>
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<contributor>
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<name>Brian Bloniarz</name>
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</contributor>
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<contributor>
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<contributor>
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<name>John Bollinger</name>
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<name>John Bollinger</name>
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</contributor>
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</contributor>
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@ -51,6 +51,9 @@ If the output is not quite correct, check for invisible trailing spaces!
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</properties>
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</properties>
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<body>
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<body>
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<release version="x.y" date="TBD" description="TBD">
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<release version="x.y" date="TBD" description="TBD">
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<action dev="erans" type="fix" issue="MATH-1021" due-to="Brian Bloniarz">
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Fixed overflow in "HypergeometricDistribution".
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</action>
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<action dev="erans" type="fix" issue="MATH-1020">
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<action dev="erans" type="fix" issue="MATH-1020">
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Fixed "nextPermutation" method (in "o.a.c.m.random.RandomDataGenerator").
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Fixed "nextPermutation" method (in "o.a.c.m.random.RandomDataGenerator").
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This bug does not affect applications using a previous version of
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This bug does not affect applications using a previous version of
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@ -265,7 +265,7 @@ public class HypergeometricDistribution extends AbstractIntegerDistribution {
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* size {@code n}, the mean is {@code n * m / N}.
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* size {@code n}, the mean is {@code n * m / N}.
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*/
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*/
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public double getNumericalMean() {
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public double getNumericalMean() {
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return (double) (getSampleSize() * getNumberOfSuccesses()) / (double) getPopulationSize();
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return getSampleSize() * (getNumberOfSuccesses() / (double) getPopulationSize());
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}
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}
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/**
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/**
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@ -284,4 +284,18 @@ public class HypergeometricDistributionTest extends IntegerDistributionAbstractT
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double upper = 1.0 - dist.cumulativeProbability(k) + dist.probability(k);
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double upper = 1.0 - dist.cumulativeProbability(k) + dist.probability(k);
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Assert.assertTrue(Precision.compareTo(1.0, upper, 1) == 0);
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Assert.assertTrue(Precision.compareTo(1.0, upper, 1) == 0);
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}
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}
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@Test
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public void testMath1021() {
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final int N = 43130568;
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final int m = 42976365;
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final int n = 50;
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final HypergeometricDistribution dist = new HypergeometricDistribution(N, m, n);
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for (int i = 0; i < 100; i++) {
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final int sample = dist.sample();
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Assert.assertTrue("sample=" + sample, 0 <= sample);
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Assert.assertTrue("sample=" + sample, sample <= n);
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}
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}
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}
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}
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