Alex Herbert created RNG-194:
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Summary: 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
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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