[commons-statistics] 03/05: Use LogNormalSampler from commons RNG

[aherbert]

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

commit 9632942c5059448da1a7106531ec65ab281e39e8
Author: aherbert <aherb...@apache.org>
AuthorDate: Mon Oct 3 12:01:50 2022 +0100

    Use LogNormalSampler from commons RNG
---
 .../commons/statistics/distribution/LogNormalDistribution.java       | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git 
a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
 
b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
index 8e667b9..686aa03 100644
--- 
a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
+++ 
b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
@@ -21,6 +21,7 @@ import org.apache.commons.numbers.gamma.ErfDifference;
 import org.apache.commons.numbers.gamma.Erfc;
 import org.apache.commons.numbers.gamma.InverseErfc;
 import org.apache.commons.rng.UniformRandomProvider;
+import org.apache.commons.rng.sampling.distribution.LogNormalSampler;
 import org.apache.commons.rng.sampling.distribution.ZigguratSampler;
 
 /**
@@ -261,8 +262,6 @@ public final class LogNormalDistribution extends 
AbstractContinuousDistribution
     public ContinuousDistribution.Sampler createSampler(final 
UniformRandomProvider rng) {
         // Log normal distribution sampler.
         final ZigguratSampler.NormalizedGaussian gaussian = 
ZigguratSampler.NormalizedGaussian.of(rng);
-        // TODO: Replace with LogNormalSampler in Commons RNG when
-        // the version supporting negative mu has been released.
-        return () -> Math.exp(mu + sigma * gaussian.sample());
+        return LogNormalSampler.of(gaussian, mu, sigma)::sample;
     }
 }