haskell-mwc-random 0.13.6.0-1build1 source package in Ubuntu

Changelog

haskell-mwc-random (0.13.6.0-1build1) bionic; urgency=medium

  * No-change rebuild for new GHC ABIs

 -- Steve Langasek <email address hidden>  Sun, 05 Nov 2017 03:39:03 +0000

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release universe haskell

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File Size SHA-256 Checksum
haskell-mwc-random_0.13.6.0.orig.tar.gz 22.7 KiB 065f334fc13c057eb03ef0b6aa3665ff193609d9bfcad8068bdd260801f44716
haskell-mwc-random_0.13.6.0-1build1.debian.tar.xz 3.3 KiB b32c7b19586806078d23b2345f506a171cb4cf9aee09ef183134eb09e9a1f605
haskell-mwc-random_0.13.6.0-1build1.dsc 2.6 KiB c3a42635224545d3d9b227d1be1c9caa909327437f06161cec2219f45b6df062

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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: No summary available for libghc-mwc-random-doc in ubuntu cosmic.

No description available for libghc-mwc-random-doc in ubuntu cosmic.

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.