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haskell-mwc-random package

haskell-mwc-random 0.15.0.2-1build1 source package in Ubuntu

Changelog

haskell-mwc-random (0.15.0.2-1build1) lunar; urgency=medium

  * Rebuild against new GHC ABI.

 -- Gianfranco Costamagna <email address hidden>  Sun, 11 Dec 2022 02:17:37 +0100

Upload details

Uploaded by:
Gianfranco Costamagna
Uploaded to:
Lunar
Original maintainer:
Debian Haskell Group
Architectures:
any all
Section:
haskell
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe haskell
Lunar release universe haskell

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File Size SHA-256 Checksum
haskell-mwc-random_0.15.0.2.orig.tar.gz 26.0 KiB 35d64d5d6f8e93321d36952cf9ab64e21a9cad642ba39aa7378d88aa08afc25b
haskell-mwc-random_0.15.0.2-1build1.debian.tar.xz 3.6 KiB 4a26674b106b74a2c05cd94bd456c748a919de800012975f21c4d4ff36120165
haskell-mwc-random_0.15.0.2-1build1.dsc 2.6 KiB 7110bdc5993ec554d372f14cc89ecae15c30b7518a74b11602f11b7a6a0579c9

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Binary packages built by this source

libghc-mwc-random-dev: Fast, high quality pseudo random number generation

 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.
 .
 This package provides a library for the Haskell programming language.
 See http://www.haskell.org/ for more information on Haskell.

libghc-mwc-random-doc: Fast, high quality pseudo random number generation; documentation

 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.
 .
 This package provides the documentation for a library for the Haskell
 programming language.
 See http://www.haskell.org/ for more information on Haskell.

libghc-mwc-random-prof: Fast, high quality pseudo random number generation; profiling libraries

 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.
 .
 This package provides a library for the Haskell programming language, compiled
 for profiling. See http://www.haskell.org/ for more information on Haskell.