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<title>pkgsrc/math/p5-Math-Random-ISAAC, branch pkgsrc_2015Q2</title>
<subtitle>[no description]</subtitle>
<id>https://git.osdyson.ru/mirror/pkgsrc/atom?h=pkgsrc_2015Q2</id>
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<updated>2015-06-12T10:48:20Z</updated>
<entry>
<title>Recursive PKGREVISION bump for all packages mentioning 'perl',</title>
<updated>2015-06-12T10:48:20Z</updated>
<author>
<name>wiz</name>
<email>wiz</email>
</author>
<published>2015-06-12T10:48:20Z</published>
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<id>urn:sha1:d7e6a8e21511c63470d97ade9d2cffc729577f99</id>
<content type='text'>
having a PKGNAME of p5-*, or depending such a package,
for perl-5.22.0.
</content>
</entry>
<entry>
<title>Bump for perl-5.20.0.</title>
<updated>2014-05-29T23:35:13Z</updated>
<author>
<name>wiz</name>
<email>wiz</email>
</author>
<published>2014-05-29T23:35:13Z</published>
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<id>urn:sha1:4066bdbe3ce000ed62b39d05cfd4e3d5f664affe</id>
<content type='text'>
Do it for all packages that
* mention perl, or
* have a directory name starting with p5-*, or
* depend on a package starting with p5-
like last time, for 5.18, where this didn't lead to complaints.
Let me know if you have any this time.
</content>
</entry>
<entry>
<title>Adding package for CPAN distribution Math-Random-ISAAC version 1.004 into</title>
<updated>2013-07-03T14:33:32Z</updated>
<author>
<name>sno</name>
<email>sno</email>
</author>
<published>2013-07-03T14:33:32Z</published>
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<id>urn:sha1:69b18e1309ab3662c98742321b9ac38d264c4f94</id>
<content type='text'>
math/p5-Math-Random-ISAAC.

As with other Pseudo-Random Number Generator (PRNG) algorithms like the
Mersenne Twister (see Math::Random::MT), this algorithm is designed to
take some seed information and produce seemingly random results as output.

However, ISAAC (Indirection, Shift, Accumulate, Add, and Count) has
different goals than these commonly used algorithms. In particular, it's
really fast - on average, it requires only 18.75 machine cycles to generate
a 32-bit value. This makes it suitable for applications where a significant
amount of random data needs to be produced quickly, such solving using the
Monte Carlo method or for games.

The results are uniformly distributed, unbiased, and unpredictable unless
you know the seed. The algorithm was published by Bob Jenkins in the late
90s and despite the best efforts of many security researchers, no feasible
attacks have been found to date.
</content>
</entry>
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