Source: haskell-mwc-random
Maintainer: Debian Haskell Group
Uploaders: Joachim Breitner
Priority: optional
Section: haskell
Rules-Requires-Root: no
Build-Depends: debhelper (>= 10),
haskell-devscripts (>= 0.13),
cdbs,
ghc (>= 8.0),
ghc-prof,
libghc-math-functions-dev (>= 0.2.1.0),
libghc-math-functions-prof,
libghc-primitive-dev,
libghc-primitive-prof,
libghc-vector-dev (>= 0.7),
libghc-vector-prof,
Build-Depends-Indep: ghc-doc,
libghc-math-functions-doc,
libghc-primitive-doc,
libghc-vector-doc,
Standards-Version: 4.1.4
Homepage: https://github.com/bos/mwc-random
Vcs-Browser: https://salsa.debian.org/haskell-team/DHG_packages/tree/master/p/haskell-mwc-random
Vcs-Git: https://salsa.debian.org/haskell-team/DHG_packages.git [p/haskell-mwc-random]
Package: libghc-mwc-random-dev
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)
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.
.
${haskell:Blurb}
Package: libghc-mwc-random-prof
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)
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.
.
${haskell:Blurb}
Package: libghc-mwc-random-doc
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)
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.
.
${haskell:Blurb}