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Posted to commits@commons.apache.org by ah...@apache.org on 2021/09/14 12:10:06 UTC

[commons-statistics] 01/08: Use a ZigguratSampler.NormalizedGaussian

This is an automated email from the ASF dual-hosted git repository.

aherbert pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-statistics.git

commit 50c6b2a3387c4e74891f856a1b668a64dd868ed9
Author: aherbert <ah...@apache.org>
AuthorDate: Tue Sep 14 11:43:04 2021 +0100

    Use a ZigguratSampler.NormalizedGaussian
---
 .../apache/commons/statistics/distribution/NormalDistribution.java    | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/NormalDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/NormalDistribution.java
index 76303ba..ab1f918 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/NormalDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/NormalDistribution.java
@@ -22,7 +22,7 @@ import org.apache.commons.numbers.gamma.InverseErf;
 import org.apache.commons.numbers.gamma.ErfDifference;
 import org.apache.commons.rng.UniformRandomProvider;
 import org.apache.commons.rng.sampling.distribution.GaussianSampler;
-import org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler;
+import org.apache.commons.rng.sampling.distribution.ZigguratSampler;
 
 /**
  * Implementation of the <a href="http://en.wikipedia.org/wiki/Normal_distribution">normal (Gaussian) distribution</a>.
@@ -191,7 +191,7 @@ public class NormalDistribution extends AbstractContinuousDistribution {
     @Override
     public ContinuousDistribution.Sampler createSampler(final UniformRandomProvider rng) {
         // Gaussian distribution sampler.
-        return GaussianSampler.of(ZigguratNormalizedGaussianSampler.of(rng),
+        return GaussianSampler.of(ZigguratSampler.NormalizedGaussian.of(rng),
                                   mean, standardDeviation)::sample;
     }
 }