Ubuntu
haskell-random-fu package

haskell-random-fu 0.2.7.0-6build1 source package in Ubuntu

Changelog

haskell-random-fu (0.2.7.0-6build1) eoan; urgency=medium

  * Rebuild against new GHC abi.

 -- Gianfranco Costamagna <email address hidden>  Thu, 08 Aug 2019 14:58:53 +0200

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe misc

Downloads

File Size SHA-256 Checksum
haskell-random-fu_0.2.7.0.orig.tar.gz 28.8 KiB b6b3a4b3ede34991d26e0447f90b14fa66af61f376fa0aed2e0899fdc879b0c4
haskell-random-fu_0.2.7.0-6build1.debian.tar.xz 2.9 KiB a4034639049cd11fc5ac6c91f43d1eeed730f4ac113851a0451087174ee548e6
haskell-random-fu_0.2.7.0-6build1.dsc 3.0 KiB fe68157c3dd53a8fd688582765a62b9fa5590608b47217e13dc0c1a5dc37877f

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Binary packages built by this source

libghc-random-fu-dev: No summary available for libghc-random-fu-dev in ubuntu groovy.

No description available for libghc-random-fu-dev in ubuntu groovy.

libghc-random-fu-doc: random number generation; documentation

 Random number generation based on modeling random variables in two
 complementary ways: first, by the parameters of standard mathematical
 distributions and, second, by an abstract type (RVar) which can be
 composed and manipulated monadically and sampled in either monadic
 or "pure" styles.
 .
 The primary purpose of this library is to support defining and
 sampling a wide variety of high quality random variables. Quality is
 prioritized over speed, but performance is an important goal too.
 .
 This package provides the documentation for a library for the Haskell
 programming language.
 See http://www.haskell.org/ for more information on Haskell.

libghc-random-fu-prof: random number generation; profiling libraries

 Random number generation based on modeling random variables in two
 complementary ways: first, by the parameters of standard mathematical
 distributions and, second, by an abstract type (RVar) which can be
 composed and manipulated monadically and sampled in either monadic
 or "pure" styles.
 .
 The primary purpose of this library is to support defining and
 sampling a wide variety of high quality random variables. Quality is
 prioritized over speed, but performance is an important goal too.
 .
 This package provides a library for the Haskell programming language, compiled
 for profiling. See http://www.haskell.org/ for more information on Haskell.