Define constant as class variable.
Project: http://git-wip-us.apache.org/repos/asf/commons-rng/repo Commit: http://git-wip-us.apache.org/repos/asf/commons-rng/commit/c54ee979 Tree: http://git-wip-us.apache.org/repos/asf/commons-rng/tree/c54ee979 Diff: http://git-wip-us.apache.org/repos/asf/commons-rng/diff/c54ee979 Branch: refs/heads/master Commit: c54ee97985f00e0f50bfb36932a179362a38bc6f Parents: 2753012 Author: Gilles <er...@apache.org> Authored: Thu Nov 17 19:00:14 2016 +0100 Committer: Gilles <er...@apache.org> Committed: Thu Nov 17 19:00:14 2016 +0100 ---------------------------------------------------------------------- .../commons/rng/sampling/distribution/PoissonSampler.java | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/commons-rng/blob/c54ee979/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/PoissonSampler.java ---------------------------------------------------------------------- diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/PoissonSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/PoissonSampler.java index 605678e..94b19d9 100644 --- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/PoissonSampler.java +++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/PoissonSampler.java @@ -39,6 +39,8 @@ import org.apache.commons.rng.UniformRandomProvider; public class PoissonSampler extends SamplerBase implements DiscreteSampler { + /** Value for switching sampling algorithm. */ + private static final double PIVOT = 40; /** Mean of the distribution. */ private final double mean; /** Exponential. */ @@ -78,8 +80,7 @@ public class PoissonSampler * @return the next sample. */ private long nextPoisson(double meanPoisson) { - final double pivot = 40; - if (meanPoisson < pivot) { + if (meanPoisson < PIVOT) { double p = Math.exp(-meanPoisson); long n = 0; double r = 1;
