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https://issues.apache.org/jira/browse/RNG-194?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alex Herbert resolved RNG-194.
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Fix Version/s: 1.8
Assignee: Alex Herbert
Resolution: Fixed
Updated in commit:
c6a5e9f686c53c0b9ff620497f82c29e72ba1c7c
> Samplers to validate arguments are finite to avoid invalid samples or
> infinite loops
> ------------------------------------------------------------------------------------
>
> Key: RNG-194
> URL: https://issues.apache.org/jira/browse/RNG-194
> Project: Commons RNG
> Issue Type: Bug
> Components: sampling
> Affects Versions: 1.7
> Reporter: Alex Herbert
> Assignee: Alex Herbert
> Priority: Trivial
> Fix For: 1.8
>
>
> Many samplers can be constructed with infinite or NaN parameters. This
> results in invalid samples (Infinite/NaN), constant samples, or infinite
> loops from the sampling algorithm.
> The following samplers require validation:
> ||Sampler||Parameters||
> |BoxMullerGaussianSampler|mean; standard deviation|
> |ChengBetaSampler|alpha; beta|
> |AhrensDieterMarsagliaTsangGammaSampler|alpha; theta|
> |LogNormalSampler|mu; sigma|
> |LevySampler|location; scale|
> |AhrensDieterExponentialSampler|mean|
> |ZigguratSampler.Exponential|mean|
> |InverseTransformParetoSampler|scale; shape (note that shape can be infinite)|
> |ContinuousUniformSampler|low; high|
> |RejectionInversionZipfSampler|exponent|
> In the case of the ContinuousUniformSampler, use of an infinite bound and the
> open-interval sampler will result in an infinite loop.
> In the case of the RejectionInversionZipfSampler, use of an infinite exponent
> will result in an infinite loop.
> Issue identified using a security scan.
>
>
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