Hi Alex.

Le ven. 17 mai 2019 à 15:33, <aherb...@apache.org> a écrit :
>
> 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 5cf993a22bcedfe8c66dd9ae6536c1ee2db146ea
> Author: aherbert <aherb...@apache.org>
> AuthorDate: Fri May 17 14:31:40 2019 +0100
>
>     Fixed typo and updated deprecated generator.
> ---
>  .../commons/rng/examples/sampling/UniformSamplingVisualCheck.java     | 4 
> ++--
>  1 file changed, 2 insertions(+), 2 deletions(-)
>
> diff --git 
> a/commons-rng-examples/examples-sampling/src/main/java/org/apache/commons/rng/examples/sampling/UniformSamplingVisualCheck.java
>  
> b/commons-rng-examples/examples-sampling/src/main/java/org/apache/commons/rng/examples/sampling/UniformSamplingVisualCheck.java
> index 8875934..a912791 100644
> --- 
> a/commons-rng-examples/examples-sampling/src/main/java/org/apache/commons/rng/examples/sampling/UniformSamplingVisualCheck.java
> +++ 
> b/commons-rng-examples/examples-sampling/src/main/java/org/apache/commons/rng/examples/sampling/UniformSamplingVisualCheck.java
> @@ -26,14 +26,14 @@ import 
> org.apache.commons.rng.sampling.distribution.ContinuousSampler;
>
>  /**
>   * Creates 2D plot of sampling output.
> - * It is a "manual" check that could help ensure that no artefacts
> + * It is a "manual" check that could help ensure that no artifacts

That was not a typo. ;-)

>   * exist in some tiny region of the expected range, due to loss of
>   * accuracy, e.g. when porting C code based on 32-bits "float" to
>   * "Commons RNG" that uses Java "double" (64-bits).
>   */
>  public class UniformSamplingVisualCheck {
>      /** RNG. */
> -    private final UniformRandomProvider rng = 
> RandomSource.create(RandomSource.XOR_SHIFT_1024_S);
> +    private final UniformRandomProvider rng = 
> RandomSource.create(RandomSource.XOR_SHIFT_1024_S_PHI);
>      /** Samplers. */
>      private final ContinuousSampler[] samplers = new ContinuousSampler[] {
>          new ZigguratNormalizedGaussianSampler(rng),
>

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