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aherbert pushed a commit to branch master
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commit 9ba0f3d89ecdb39cb7cb257eb0e6110c1406c7ff
Author: aherbert <aherb...@apache.org>
AuthorDate: Mon Sep 13 11:20:43 2021 +0100

    Retrieve 1.4 release details from the release branch
---
 RELEASE-NOTES.txt                                  | 105 +++++++++++++++++++++
 src/changes/changes.xml                            |  32 ++++++-
 .../resources/release-notes/RELEASE-NOTES-1.4.txt  | 105 +++++++++++++++++++++
 src/site/xdoc/download_rng.xml                     |  28 +++---
 src/site/xdoc/release-history.xml                  |   3 +
 5 files changed, 258 insertions(+), 15 deletions(-)

diff --git a/RELEASE-NOTES.txt b/RELEASE-NOTES.txt
index 167a288..3e5b3a7 100644
--- a/RELEASE-NOTES.txt
+++ b/RELEASE-NOTES.txt
@@ -1,4 +1,109 @@
 
+              Apache Commons RNG 1.4 RELEASE NOTES
+
+The Apache Commons RNG team is pleased to announce the release of Apache 
Commons RNG 1.4
+
+The Apache Commons RNG project provides pure-Java implementation
+of pseudo-random generators.
+
+This is a minor release of Apache Commons RNG, containing a
+few new features and performance improvements.
+
+Apache Commons RNG 1.4 contains the following library modules:
+ commons-rng-client-api (requires Java 8)
+ commons-rng-core (requires Java 8)
+ commons-rng-simple (requires Java 8)
+ commons-rng-sampling (requires Java 8)
+
+The code in module 'commons-rng-core' should not be accessed
+directly by applications as a future release might make use of
+the JPMS modularization feature available in Java 11+.
+
+Additional code is provided in the following modules:
+ commons-rng-examples-quadrature (requires Java 8)
+ commons-rng-examples-jmh (requires Java 8)
+ commons-rng-examples-sampling (requires Java 8)
+ commons-rng-examples-stress (requires Java 8)
+ commons-rng-examples-jpms (requires Java 11)
+
+It is however not part of the official API and no compatibility
+should be expected in subsequent releases.
+
+It must be noted that, due to the nature of random number generation, some 
unit tests
+are bound to fail with some probability. The 'maven-surefire-plugin' is 
configured
+to re-run tests that fail, and pass the build if they succeed within the 
allotted
+number of reruns (the test will be marked as 'flaky' in the report).
+
+Changes in this version include:
+
+New features:
+o RNG-156: New "DirichletSampler" class to sample from a Dirichlet 
distribution.
+o RNG-137: New "StableSampler" class to sample from a stable distribution.
+o RNG-138: New "CompositeSamplers" class to sample from a weighted combination 
of samplers.
+o RNG-140: New "LongSampler" interface for sampling a long. New 
"UniformLongSampler" to sample
+           from a range.
+o RNG-151: New "ZigguratSampler" implementation of the modified "Ziggurat" 
algorithm for
+           Gaussian and exponential sampling.
+o RNG-147: New "LevySampler" to sample from a Levy distribution.
+o RNG-145: "ContinuousUniformSampler": Add optional support for an open 
interval: (lower, upper).
+o RNG-143: "RandomSource": Add an instance create method. Deprecate the static 
create method.
+o RNG-136: New "ObjectSampler<T>" and "SharedStateObjectSampler<T>" interfaces.
+           These interfaces are implemented by samplers returning an object.
+           This changes the functional compatibility of existing samplers that 
implement
+           SharedStatedSampler<R>: CollectionSampler<T>; CombinationSampler;
+           DiscreteProbabilityCollectionSampler<T>; PermutationSampler; and 
UnitSphereSampler.
+           The method signature of the SharedStateSampler<R> interface remains
+           'public R withUniformRandomProvider(UniformRandomProvider)'. The 
result can still be
+           assigned to an instance of the same class R; it can no longer be 
assigned to an instance
+           of SharedStatedSampler<R>. It can now be assigned to 
SharedStateObjectSampler<T>
+           which can be used to generate samples of type <T>.
+           Code that assigned to SharedStatedSampler<R> should be updated.
+o RNG-135: New "TetrahedronSampler" to sample uniformly from a tetrahedron.
+o RNG-134: New "BoxSampler" to sample uniformly from a box (or hyperrectangle).
+o RNG-133: New "LineSampler" to sample uniformly on a line segment.
+o RNG-131: New "TriangleSampler" to sample uniformly from a triangle.
+o RNG-132: New "o.a.c.rng.sampling.shape" package for sampling coordinates 
from shapes.
+o RNG-128: New "UnitBallSampler" to generate coordinates uniformly within an 
n-unit ball.
+o RNG-126: "PoissonSamplerCache": Method to return a 
SharedStateDiscreteSampler.
+o RNG-124: Add fixed increment versions of the PCG generators.
+
+Fixed Bugs:
+o RNG-159: "ZigguratSampler.NormalizedGaussian": Corrected biased sampling 
within convex regions
+           at the edge of the ziggurat.
+o RNG-146: "GaussianSampler": Prevent infinite mean and standard deviation.
+o RNG-144: "AhrensDieterExponentialSampler": Avoid possible infinite loop 
during sampling if the
+           underlying UniformRandomProvider creates a zero for the uniform 
deviate.
+o RNG-130: "UnitSphereSampler": Fix 1 dimension sampling to only return 
vectors containing 1 or -1.
+
+Changes:
+o RNG-163: Update test suite to JUnit 5.
+o          Simplify assertions with simpler equivalent. Thanks to Arturo 
Bernal.
+o RNG-162: Update the minimum Java version to 1.8.
+o RNG-160: "ZigguratSampler.NormalizedGaussian": Performance improvement by 
extracting ziggurat
+           edge sampling to a separate method.
+o RNG-157: "UnitSphereSampler": Deprecate public constructor. Use the factory 
constructor to create
+           an optimal sampler.
+o RNG-155: "ZigguratNormalizedGaussianSampler": Update to a table size of 256.
+o RNG-152: Update samplers to use ZigguratSampler.NormalizedGaussian for 
Gaussian deviates.
+o RNG-154: Update Gaussian samplers to avoid infinity in the tails of the 
distribution. Applies
+           to: ZigguratNormalisedGaussianSampler; 
BoxMullerNormalizedGaussianSampler; and
+           BoxMullerGaussianSampler.
+o RNG-153: "UnitBallSampler": Update to use the ZigguratSampler for an 
exponential deviate for
+           ball point picking.
+o RNG-150: Update "LargeMeanPoissonSampler" and "GeometricSampler" to use the 
ZigguratSampler for
+           exponential deviates.
+o RNG-129: "UnitSphereSampler": Improve performance with specialisations for 
low order dimensions.
+           Added a factory constructor to create the sampler.
+
+
+For complete information on Apache Commons RNG, including instructions on how 
to submit bug reports,
+patches, or suggestions for improvement, see the Apache Commons RNG website:
+
+https://commons.apache.org/proper/commons-rng/
+
+
+=============================================================================
+
               Apache Commons RNG 1.3 RELEASE NOTES
 
 The Apache Commons RNG team is pleased to announce the release of Apache 
Commons RNG 1.3
diff --git a/src/changes/changes.xml b/src/changes/changes.xml
index ed12355..0becee6 100644
--- a/src/changes/changes.xml
+++ b/src/changes/changes.xml
@@ -53,7 +53,37 @@ If the output is not quite correct, check for invisible 
trailing spaces!
   </properties>
   <body>
 
-    <release version="1.4" date="TBD" description="
+    <release version="1.5" date="TBD" description="
+This is a minor release of Apache Commons RNG, containing a
+few new features and performance improvements.
+Apache Commons RNG 1.4 contains the following library modules:
+  commons-rng-client-api (requires Java 8)
+  commons-rng-core (requires Java 8)
+  commons-rng-simple (requires Java 8)
+  commons-rng-sampling (requires Java 8)
+The code in module 'commons-rng-core' should not be accessed
+directly by applications as a future release might make use of
+the JPMS modularization feature available in Java 11+.
+
+Additional code is provided in the following modules:
+  commons-rng-examples-quadrature (requires Java 8)
+  commons-rng-examples-jmh (requires Java 8)
+  commons-rng-examples-sampling (requires Java 8)
+  commons-rng-examples-stress (requires Java 8)
+  commons-rng-examples-jpms (requires Java 11)
+It is however not part of the official API and no compatibility
+should be expected in subsequent releases.
+
+It must be noted that, due to the nature of random number
+generation, some unit tests are bound to fail with some
+probability.  The 'maven-surefire-plugin' is configured to
+re-run tests that fail, and pass the build if they succeed
+within the allotted number of reruns (the test will be marked
+as 'flaky' in the report).
+">
+</release>
+
+    <release version="1.4" date="2021-09-13" description="
 This is a minor release of Apache Commons RNG, containing a
 few new features and performance improvements.
 Apache Commons RNG 1.4 contains the following library modules:
diff --git a/RELEASE-NOTES.txt 
b/src/site/resources/release-notes/RELEASE-NOTES-1.4.txt
similarity index 72%
copy from RELEASE-NOTES.txt
copy to src/site/resources/release-notes/RELEASE-NOTES-1.4.txt
index 167a288..3e5b3a7 100644
--- a/RELEASE-NOTES.txt
+++ b/src/site/resources/release-notes/RELEASE-NOTES-1.4.txt
@@ -1,4 +1,109 @@
 
+              Apache Commons RNG 1.4 RELEASE NOTES
+
+The Apache Commons RNG team is pleased to announce the release of Apache 
Commons RNG 1.4
+
+The Apache Commons RNG project provides pure-Java implementation
+of pseudo-random generators.
+
+This is a minor release of Apache Commons RNG, containing a
+few new features and performance improvements.
+
+Apache Commons RNG 1.4 contains the following library modules:
+ commons-rng-client-api (requires Java 8)
+ commons-rng-core (requires Java 8)
+ commons-rng-simple (requires Java 8)
+ commons-rng-sampling (requires Java 8)
+
+The code in module 'commons-rng-core' should not be accessed
+directly by applications as a future release might make use of
+the JPMS modularization feature available in Java 11+.
+
+Additional code is provided in the following modules:
+ commons-rng-examples-quadrature (requires Java 8)
+ commons-rng-examples-jmh (requires Java 8)
+ commons-rng-examples-sampling (requires Java 8)
+ commons-rng-examples-stress (requires Java 8)
+ commons-rng-examples-jpms (requires Java 11)
+
+It is however not part of the official API and no compatibility
+should be expected in subsequent releases.
+
+It must be noted that, due to the nature of random number generation, some 
unit tests
+are bound to fail with some probability. The 'maven-surefire-plugin' is 
configured
+to re-run tests that fail, and pass the build if they succeed within the 
allotted
+number of reruns (the test will be marked as 'flaky' in the report).
+
+Changes in this version include:
+
+New features:
+o RNG-156: New "DirichletSampler" class to sample from a Dirichlet 
distribution.
+o RNG-137: New "StableSampler" class to sample from a stable distribution.
+o RNG-138: New "CompositeSamplers" class to sample from a weighted combination 
of samplers.
+o RNG-140: New "LongSampler" interface for sampling a long. New 
"UniformLongSampler" to sample
+           from a range.
+o RNG-151: New "ZigguratSampler" implementation of the modified "Ziggurat" 
algorithm for
+           Gaussian and exponential sampling.
+o RNG-147: New "LevySampler" to sample from a Levy distribution.
+o RNG-145: "ContinuousUniformSampler": Add optional support for an open 
interval: (lower, upper).
+o RNG-143: "RandomSource": Add an instance create method. Deprecate the static 
create method.
+o RNG-136: New "ObjectSampler<T>" and "SharedStateObjectSampler<T>" interfaces.
+           These interfaces are implemented by samplers returning an object.
+           This changes the functional compatibility of existing samplers that 
implement
+           SharedStatedSampler<R>: CollectionSampler<T>; CombinationSampler;
+           DiscreteProbabilityCollectionSampler<T>; PermutationSampler; and 
UnitSphereSampler.
+           The method signature of the SharedStateSampler<R> interface remains
+           'public R withUniformRandomProvider(UniformRandomProvider)'. The 
result can still be
+           assigned to an instance of the same class R; it can no longer be 
assigned to an instance
+           of SharedStatedSampler<R>. It can now be assigned to 
SharedStateObjectSampler<T>
+           which can be used to generate samples of type <T>.
+           Code that assigned to SharedStatedSampler<R> should be updated.
+o RNG-135: New "TetrahedronSampler" to sample uniformly from a tetrahedron.
+o RNG-134: New "BoxSampler" to sample uniformly from a box (or hyperrectangle).
+o RNG-133: New "LineSampler" to sample uniformly on a line segment.
+o RNG-131: New "TriangleSampler" to sample uniformly from a triangle.
+o RNG-132: New "o.a.c.rng.sampling.shape" package for sampling coordinates 
from shapes.
+o RNG-128: New "UnitBallSampler" to generate coordinates uniformly within an 
n-unit ball.
+o RNG-126: "PoissonSamplerCache": Method to return a 
SharedStateDiscreteSampler.
+o RNG-124: Add fixed increment versions of the PCG generators.
+
+Fixed Bugs:
+o RNG-159: "ZigguratSampler.NormalizedGaussian": Corrected biased sampling 
within convex regions
+           at the edge of the ziggurat.
+o RNG-146: "GaussianSampler": Prevent infinite mean and standard deviation.
+o RNG-144: "AhrensDieterExponentialSampler": Avoid possible infinite loop 
during sampling if the
+           underlying UniformRandomProvider creates a zero for the uniform 
deviate.
+o RNG-130: "UnitSphereSampler": Fix 1 dimension sampling to only return 
vectors containing 1 or -1.
+
+Changes:
+o RNG-163: Update test suite to JUnit 5.
+o          Simplify assertions with simpler equivalent. Thanks to Arturo 
Bernal.
+o RNG-162: Update the minimum Java version to 1.8.
+o RNG-160: "ZigguratSampler.NormalizedGaussian": Performance improvement by 
extracting ziggurat
+           edge sampling to a separate method.
+o RNG-157: "UnitSphereSampler": Deprecate public constructor. Use the factory 
constructor to create
+           an optimal sampler.
+o RNG-155: "ZigguratNormalizedGaussianSampler": Update to a table size of 256.
+o RNG-152: Update samplers to use ZigguratSampler.NormalizedGaussian for 
Gaussian deviates.
+o RNG-154: Update Gaussian samplers to avoid infinity in the tails of the 
distribution. Applies
+           to: ZigguratNormalisedGaussianSampler; 
BoxMullerNormalizedGaussianSampler; and
+           BoxMullerGaussianSampler.
+o RNG-153: "UnitBallSampler": Update to use the ZigguratSampler for an 
exponential deviate for
+           ball point picking.
+o RNG-150: Update "LargeMeanPoissonSampler" and "GeometricSampler" to use the 
ZigguratSampler for
+           exponential deviates.
+o RNG-129: "UnitSphereSampler": Improve performance with specialisations for 
low order dimensions.
+           Added a factory constructor to create the sampler.
+
+
+For complete information on Apache Commons RNG, including instructions on how 
to submit bug reports,
+patches, or suggestions for improvement, see the Apache Commons RNG website:
+
+https://commons.apache.org/proper/commons-rng/
+
+
+=============================================================================
+
               Apache Commons RNG 1.3 RELEASE NOTES
 
 The Apache Commons RNG team is pleased to announce the release of Apache 
Commons RNG 1.3
diff --git a/src/site/xdoc/download_rng.xml b/src/site/xdoc/download_rng.xml
index 7c6630f..cf764a2 100644
--- a/src/site/xdoc/download_rng.xml
+++ b/src/site/xdoc/download_rng.xml
@@ -51,7 +51,7 @@ limitations under the License.
  |                                                                      |
  |  <properties>                                                        |
  |    <commons.componentid>math</commons.componentid>                   |
- |    <commons.release.version>1.3</commons.release.version>            |
+ |    <commons.release.version>1.2</commons.release.version>            |
  |  </properties>                                                       |
  |                                                                      |
  +======================================================================+
@@ -113,32 +113,32 @@ limitations under the License.
       </p>
     </subsection>
     </section>
-    <section name="Apache Commons RNG 1.3 (requires Java 6+)">
+    <section name="Apache Commons RNG 1.4 (requires Java 8+)">
       <subsection name="Binaries">
         <table>
           <tr>
-              <td><a 
href="[preferred]/commons/rng/binaries/commons-rng-1.3-bin.tar.gz">commons-rng-1.3-bin.tar.gz</a></td>
-              <td><a 
href="https://www.apache.org/dist/commons/rng/binaries/commons-rng-1.3-bin.tar.gz.sha512";>sha512</a></td>
-              <td><a 
href="https://www.apache.org/dist/commons/rng/binaries/commons-rng-1.3-bin.tar.gz.asc";>pgp</a></td>
+              <td><a 
href="[preferred]/commons/rng/binaries/commons-rng-1.4-bin.tar.gz">commons-rng-1.4-bin.tar.gz</a></td>
+              <td><a 
href="https://www.apache.org/dist/commons/rng/binaries/commons-rng-1.4-bin.tar.gz.sha512";>sha512</a></td>
+              <td><a 
href="https://www.apache.org/dist/commons/rng/binaries/commons-rng-1.4-bin.tar.gz.asc";>pgp</a></td>
           </tr>
           <tr>
-              <td><a 
href="[preferred]/commons/rng/binaries/commons-rng-1.3-bin.zip">commons-rng-1.3-bin.zip</a></td>
-              <td><a 
href="https://www.apache.org/dist/commons/rng/binaries/commons-rng-1.3-bin.zip.sha512";>sha512</a></td>
-              <td><a 
href="https://www.apache.org/dist/commons/rng/binaries/commons-rng-1.3-bin.zip.asc";>pgp</a></td>
+              <td><a 
href="[preferred]/commons/rng/binaries/commons-rng-1.4-bin.zip">commons-rng-1.4-bin.zip</a></td>
+              <td><a 
href="https://www.apache.org/dist/commons/rng/binaries/commons-rng-1.4-bin.zip.sha512";>sha512</a></td>
+              <td><a 
href="https://www.apache.org/dist/commons/rng/binaries/commons-rng-1.4-bin.zip.asc";>pgp</a></td>
           </tr>
         </table>
       </subsection>
       <subsection name="Source">
         <table>
           <tr>
-              <td><a 
href="[preferred]/commons/rng/source/commons-rng-1.3-src.tar.gz">commons-rng-1.3-src.tar.gz</a></td>
-              <td><a 
href="https://www.apache.org/dist/commons/rng/source/commons-rng-1.3-src.tar.gz.sha512";>sha512</a></td>
-              <td><a 
href="https://www.apache.org/dist/commons/rng/source/commons-rng-1.3-src.tar.gz.asc";>pgp</a></td>
+              <td><a 
href="[preferred]/commons/rng/source/commons-rng-1.4-src.tar.gz">commons-rng-1.4-src.tar.gz</a></td>
+              <td><a 
href="https://www.apache.org/dist/commons/rng/source/commons-rng-1.4-src.tar.gz.sha512";>sha512</a></td>
+              <td><a 
href="https://www.apache.org/dist/commons/rng/source/commons-rng-1.4-src.tar.gz.asc";>pgp</a></td>
           </tr>
           <tr>
-              <td><a 
href="[preferred]/commons/rng/source/commons-rng-1.3-src.zip">commons-rng-1.3-src.zip</a></td>
-              <td><a 
href="https://www.apache.org/dist/commons/rng/source/commons-rng-1.3-src.zip.sha512";>sha512</a></td>
-              <td><a 
href="https://www.apache.org/dist/commons/rng/source/commons-rng-1.3-src.zip.asc";>pgp</a></td>
+              <td><a 
href="[preferred]/commons/rng/source/commons-rng-1.4-src.zip">commons-rng-1.4-src.zip</a></td>
+              <td><a 
href="https://www.apache.org/dist/commons/rng/source/commons-rng-1.4-src.zip.sha512";>sha512</a></td>
+              <td><a 
href="https://www.apache.org/dist/commons/rng/source/commons-rng-1.4-src.zip.asc";>pgp</a></td>
           </tr>
         </table>
       </subsection>
diff --git a/src/site/xdoc/release-history.xml 
b/src/site/xdoc/release-history.xml
index 92f6d2a..c4d4ac6 100644
--- a/src/site/xdoc/release-history.xml
+++ b/src/site/xdoc/release-history.xml
@@ -25,6 +25,9 @@ limitations under the License.
       <table>
         <tr><th>Version</th><th>Release date (YYYY-MM-DD)</th><th>Required 
Java Version</th><th>Release notes</th></tr>
         <tr>
+          <td>1.4</td><td>2021-09-13</td><td>8+</td><td><a 
href="release-notes/RELEASE-NOTES-1.4.txt">release notes for 1.4</a></td>
+        </tr>
+        <tr>
           <td>1.3</td><td>2019-11-08</td><td>6+</td><td><a 
href="release-notes/RELEASE-NOTES-1.3.txt">release notes for 1.3</a></td>
         </tr>
         <tr>

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