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Posted to commits@commons.apache.org by ah...@apache.org on 2019/07/31 21:47:25 UTC

[commons-rng] 07/08: RNG-110: Fix javadoc and formatting.

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-rng.git

commit 57ac9f078a43ef062f2a4faa6a78462f8ed42e05
Author: Alex Herbert <ah...@apache.org>
AuthorDate: Tue Jul 30 21:13:34 2019 +0100

    RNG-110: Fix javadoc and formatting.
---
 .../sampling/distribution/AhrensDieterExponentialSampler.java  |  2 +-
 .../distribution/AhrensDieterMarsagliaTsangGammaSampler.java   |  8 ++++----
 .../rng/sampling/distribution/BoxMullerLogNormalSampler.java   |  2 +-
 .../commons/rng/sampling/distribution/GeometricSampler.java    | 10 +++++-----
 4 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java
index e8ad681..b6d23d3 100644
--- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java
+++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java
@@ -143,7 +143,7 @@ public class AhrensDieterExponentialSampler
     }
 
     /**
-     * Create a new Exponential distribution sampler.
+     * Create a new exponential distribution sampler.
      *
      * @param rng Generator of uniformly distributed random numbers.
      * @param mean Mean of the distribution.
diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java
index db52483..dc565f0 100644
--- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java
+++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java
@@ -19,7 +19,7 @@ package org.apache.commons.rng.sampling.distribution;
 import org.apache.commons.rng.UniformRandomProvider;
 
 /**
- * Sampling from the <a href="http://mathworld.wolfram.com/GammaDistribution.html">Gamma distribution</a>.
+ * Sampling from the <a href="http://mathworld.wolfram.com/GammaDistribution.html">gamma distribution</a>.
  * <ul>
  *  <li>
  *   For {@code 0 < alpha < 1}:
@@ -303,7 +303,7 @@ public class AhrensDieterMarsagliaTsangGammaSampler
     }
 
     /**
-     * Creates a new Gamma distribution sampler.
+     * Creates a new gamma distribution sampler.
      *
      * @param rng Generator of uniformly distributed random numbers.
      * @param alpha Alpha parameter of the distribution (this is a shape parameter).
@@ -312,8 +312,8 @@ public class AhrensDieterMarsagliaTsangGammaSampler
      * @throws IllegalArgumentException if {@code alpha <= 0} or {@code theta <= 0}
      */
     public static SharedStateContinuousSampler of(UniformRandomProvider rng,
-                                                double alpha,
-                                                double theta) {
+                                                  double alpha,
+                                                  double theta) {
         // Each sampler should check the input arguments.
         return alpha < 1 ?
                 new AhrensDieterGammaSampler(rng, alpha, theta) :
diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java
index d4177d1..dae2155 100644
--- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java
+++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java
@@ -47,7 +47,7 @@ public class BoxMullerLogNormalSampler
                                      double shape) {
         super(null);
         sampler = LogNormalSampler.of(BoxMullerNormalizedGaussianSampler.of(rng),
-                                       scale, shape);
+                                      scale, shape);
     }
 
     /** {@inheritDoc} */
diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GeometricSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GeometricSampler.java
index a3f3339..e701e72 100644
--- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GeometricSampler.java
+++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GeometricSampler.java
@@ -133,15 +133,15 @@ public final class GeometricSampler {
     private GeometricSampler() {}
 
     /**
-     * Creates a new geometric distribution sampler. The samples will be provided in
-     * the set {@code k=[0, 1, 2, ...]} where {@code k} indicates the number of
-     * failures before the first success.
+     * Creates a new geometric distribution sampler. The samples will be provided in the set
+     * {@code k=[0, 1, 2, ...]} where {@code k} indicates the number of failures before the first
+     * success.
      *
      * @param rng Generator of uniformly distributed random numbers.
      * @param probabilityOfSuccess The probability of success.
      * @return the sampler
-     * @throws IllegalArgumentException if {@code probabilityOfSuccess} is not in
-     * the range {@code [0 < probabilityOfSuccess <= 1]})
+     * @throws IllegalArgumentException if {@code probabilityOfSuccess} is not in the range
+     * {@code [0 < probabilityOfSuccess <= 1]})
      */
     public static SharedStateDiscreteSampler of(UniformRandomProvider rng,
                                                 double probabilityOfSuccess) {