Ubuntu
haskell-random-fu package

haskell-random-fu 0.2.7.0-3build7 source package in Ubuntu

Changelog

haskell-random-fu (0.2.7.0-3build7) bionic; urgency=medium

  * No-change rebuild for new GHC ABIs

 -- Steve Langasek <email address hidden>  Sun, 05 Nov 2017 03:34:14 +0000

Upload details

Uploaded by:
Steve Langasek
Uploaded to:
Bionic
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic 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_0.2.7.0-3build7.debian.tar.xz 2.8 KiB d9d91553fb6565a23be86c74ea5a43639b49301122d205f60cb3cad47b9088f2
haskell-random-fu_0.2.7.0-3build7.dsc 3.1 KiB 714910419b1614c7ee5e346694b1236439b1462782804b036941aafac683372a

Available diffs

View changes file

Binary packages built by this source

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

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

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.