Cabal revisions of mwc-random-0.10.0.0
Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.
revision 1
-name: mwc-random-version: 0.10.0.0-synopsis: Fast, high quality pseudo random number generation-description:- This package contains code for generating high quality random- numbers that follow either a uniform or normal distribution. The- generated numbers are suitable for use in statistical applications.- .- The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222)- multiply-with-carry generator, which has a period of 2^8222 and- fares well in tests of randomness. It is also extremely fast,- between 2 and 3 times faster than the Mersenne Twister.- .- Compared to the mersenne-random package, this package has a more- convenient API, is faster, and supports more statistical- distributions.-license: BSD3-license-file: LICENSE-homepage: https://github.com/bos/mwc-random-bug-reports: https://github.com/bos/mwc-random/issues-author: Bryan O'Sullivan <bos@serpentine.com>-maintainer: Bryan O'Sullivan <bos@serpentine.com>-copyright: 2009, 2010, 2011 Bryan O'Sullivan-category: Math, Statistics-build-type: Simple-cabal-version: >= 1.6-extra-source-files:- README.markdown- benchmarks/*.hs- benchmarks/Quickie.hs- benchmarks/mwc-random-benchmarks.cabal--library- exposed-modules:- System.Random.MWC- build-depends:- base < 5,- primitive,- time,- vector >= 0.6.0.2- if impl(ghc >= 6.10)- build-depends:- base >= 4-- -- gather extensive profiling data for now- ghc-prof-options: -auto-all-- ghc-options: -Wall -funbox-strict-fields- if impl(ghc >= 6.8)- ghc-options: -fwarn-tabs--source-repository head- type: git- location: git://github.com/bos/mwc-random--source-repository head- type: mercurial- location: https://bitbucket.org/bos/mwc-random+name: mwc-random +version: 0.10.0.0 +x-revision: 1 +synopsis: Fast, high quality pseudo random number generation +description: + This package contains code for generating high quality random + numbers that follow either a uniform or normal distribution. The + generated numbers are suitable for use in statistical applications. + . + The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222) + multiply-with-carry generator, which has a period of 2^8222 and + fares well in tests of randomness. It is also extremely fast, + between 2 and 3 times faster than the Mersenne Twister. + . + Compared to the mersenne-random package, this package has a more + convenient API, is faster, and supports more statistical + distributions. +license: BSD3 +license-file: LICENSE +homepage: https://github.com/bos/mwc-random +bug-reports: https://github.com/bos/mwc-random/issues +author: Bryan O'Sullivan <bos@serpentine.com> +maintainer: Bryan O'Sullivan <bos@serpentine.com> +copyright: 2009, 2010, 2011 Bryan O'Sullivan +category: Math, Statistics +build-type: Simple +cabal-version: >= 1.6 +extra-source-files: + README.markdown + benchmarks/*.hs + benchmarks/Quickie.hs + benchmarks/mwc-random-benchmarks.cabal + +library + exposed-modules: + System.Random.MWC + build-depends: + base < 5, + primitive< 0.6, + time, + vector >= 0.6.0.2 + if impl(ghc >= 6.10) + build-depends: + base >= 4 + + -- gather extensive profiling data for now + ghc-prof-options: -auto-all + + ghc-options: -Wall -funbox-strict-fields + if impl(ghc >= 6.8) + ghc-options: -fwarn-tabs + +source-repository head + type: git + location: git://github.com/bos/mwc-random + +source-repository head + type: mercurial + location: https://bitbucket.org/bos/mwc-random