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haskell-mwc-random package

haskell-mwc-random 0.8.0.3-1build2 source package in Ubuntu

Changelog

haskell-mwc-random (0.8.0.3-1build2) precise; urgency=low

  * Rebuild for new GHC ABIs.
 -- Colin Watson <email address hidden>   Mon, 07 Nov 2011 10:50:17 +0000

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Uploaded by:
Colin Watson
Uploaded to:
Precise
Original maintainer:
Debian Haskell Group
Architectures:
any all
Section:
haskell
Urgency:
Low Urgency

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haskell-mwc-random_0.8.0.3.orig.tar.gz 10.4 KiB e3766496409ac1a30233252dba759b51ded428762c88db38ebd14d079d5752ea
haskell-mwc-random_0.8.0.3-1build2.debian.tar.gz 2.5 KiB 79b61a91d26803aa8b0df9f5fe8481d4e343405bb325b2c053e82e19b7d96874
haskell-mwc-random_0.8.0.3-1build2.dsc 2.4 KiB 2c6a537eaaef6b558921fb6cd4b87a48b148696f677f8dc110b32e9d77a8749c

Available diffs

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Binary packages built by this source

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

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

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

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

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

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