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From "Thomas Neidhart (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MATH-936) RandomDataGenerator#nextLong violates bounds
Date Sat, 09 Mar 2013 16:07:12 GMT

    [ https://issues.apache.org/jira/browse/MATH-936?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13597988#comment-13597988
] 

Thomas Neidhart commented on MATH-936:
--------------------------------------

If this can be adapted to uniformly provide number in the range of [lower, upper], also taking
into account that lower can be negative, than this would be a better solution.
                
> RandomDataGenerator#nextLong violates bounds
> --------------------------------------------
>
>                 Key: MATH-936
>                 URL: https://issues.apache.org/jira/browse/MATH-936
>             Project: Commons Math
>          Issue Type: Bug
>    Affects Versions: 3.1
>            Reporter: Ralf Wiebicke
>              Labels: random
>         Attachments: MATH-936.patch, RandomGeneratorLongTest.java
>
>
> I attached a test.
> If the underlying RandomGenerator returns 0.0, then nextLong returns Long.MIN_VALUE,
although the lower bound is Long.MIN_VALUE+1.
> The javadoc of RandomGenerator#nextDouble does not clearly define, whether the result
includes the lower border of 0.0 or not.
> In java.util.Random it clearly defined as included: "uniformly from the range 0.0d (inclusive)
to 1.0d (exclusive)". And the existence of JDKRandomGenerator suggests, that RandomGenerator
should have the same contract.
> I tested with version 3.1.1 from mvnrepository

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