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Source: haskellmwcrandom
Maintainer: Debian Haskell Group <pkghaskellmaintainers@lists.alioth.debian.org>
Uploaders: Joachim Breitner <nomeata@debian.org>
Priority: optional
Section: haskell
RulesRequiresRoot: no
BuildDepends: debhelper (>= 10),
haskelldevscripts (>= 0.13),
cdbs,
ghc (>= 8.0),
ghcprof,
libghcmathfunctionsdev (>= 0.2.1.0),
libghcmathfunctionsprof,
libghcprimitivedev,
libghcprimitiveprof,
libghcvectordev (>= 0.7),
libghcvectorprof,
BuildDependsIndep: ghcdoc,
libghcmathfunctionsdoc,
libghcprimitivedoc,
libghcvectordoc,
StandardsVersion: 4.1.4
Homepage: https://github.com/bos/mwcrandom
VcsBrowser: https://salsa.debian.org/haskellteam/DHG_packages/tree/master/p/haskellmwcrandom
VcsGit: https://salsa.debian.org/haskellteam/DHG_packages.git [p/haskellmwcrandom]
Package: libghcmwcrandomdev
Architecture: any
Depends: ${haskell:Depends},
${shlibs:Depends},
${misc:Depends},
Recommends: ${haskell:Recommends},
Suggests: ${haskell:Suggests},
Provides: ${haskell:Provides},
Description: Fast, high quality pseudo random number generation${haskell:ShortBlurb}
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)
multiplywithcarry 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 mersennerandom package, this package has a more convenient
API, is faster, and supports more statistical distributions.
.
${haskell:Blurb}
Package: libghcmwcrandomprof
Architecture: any
Depends: ${haskell:Depends},
${shlibs:Depends},
${misc:Depends},
Recommends: ${haskell:Recommends},
Suggests: ${haskell:Suggests},
Provides: ${haskell:Provides},
Description: Fast, high quality pseudo random number generation${haskell:ShortBlurb}
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)
multiplywithcarry 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 mersennerandom package, this package has a more convenient
API, is faster, and supports more statistical distributions.
.
${haskell:Blurb}
Package: libghcmwcrandomdoc
Architecture: all
Section: doc
Depends: ${misc:Depends},
${haskell:Depends},
Recommends: ${haskell:Recommends},
Suggests: ${haskell:Suggests},
Description: Fast, high quality pseudo random number generation${haskell:ShortBlurb}
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)
multiplywithcarry 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 mersennerandom package, this package has a more convenient
API, is faster, and supports more statistical distributions.
.
${haskell:Blurb}
