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}