diff options
| author | Gabor Pali <pgj@FreeBSD.org> | 2012-06-03 22:14:47 +0000 |
|---|---|---|
| committer | Gabor Pali <pgj@FreeBSD.org> | 2012-06-03 22:14:47 +0000 |
| commit | b711b90a74dbd69c2bb20c3cc36bbe895afaa679 (patch) | |
| tree | 3185455835684504b2a90ba30f3e6aac0be07bb1 /math | |
| parent | 6ed27484ec346cb51dc3ce30c640b2466d536ad2 (diff) | |
Notes
Diffstat (limited to 'math')
| -rw-r--r-- | math/hs-mwc-random/Makefile | 4 | ||||
| -rw-r--r-- | math/hs-mwc-random/distinfo | 4 | ||||
| -rw-r--r-- | math/hs-mwc-random/pkg-descr | 22 |
3 files changed, 13 insertions, 17 deletions
diff --git a/math/hs-mwc-random/Makefile b/math/hs-mwc-random/Makefile index f797a0b2ae85..95109b272212 100644 --- a/math/hs-mwc-random/Makefile +++ b/math/hs-mwc-random/Makefile @@ -6,11 +6,11 @@ # PORTNAME= mwc-random -PORTVERSION= 0.10.0.1 +PORTVERSION= 0.12.0.0 CATEGORIES= math haskell MAINTAINER= haskell@FreeBSD.org -COMMENT= Fast, high quality pseudo random number generation in Haskell +COMMENT= Fast, high quality pseudo random number generation LICENSE= BSD diff --git a/math/hs-mwc-random/distinfo b/math/hs-mwc-random/distinfo index bc2202736dfb..7397e7c70054 100644 --- a/math/hs-mwc-random/distinfo +++ b/math/hs-mwc-random/distinfo @@ -1,2 +1,2 @@ -SHA256 (cabal/mwc-random-0.10.0.1.tar.gz) = 2b71ead999eee3be3d5fe1302245e635d133da8a56f8f17a16ee149741a2b356 -SIZE (cabal/mwc-random-0.10.0.1.tar.gz) = 11062 +SHA256 (cabal/mwc-random-0.12.0.0.tar.gz) = 79c7b7224e5aa587c6e4ca9c1518c8ec894716f2f44048bf886eb1698bfb2f30 +SIZE (cabal/mwc-random-0.12.0.0.tar.gz) = 18142 diff --git a/math/hs-mwc-random/pkg-descr b/math/hs-mwc-random/pkg-descr index 1e0d4f5c6cc8..bf47d9d572c2 100644 --- a/math/hs-mwc-random/pkg-descr +++ b/math/hs-mwc-random/pkg-descr @@ -1,14 +1,10 @@ -This Haskell 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. +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. -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. - -WWW: http://darcs.serpentine.com/mwc-random +WWW: https://github.com/bos/mwc-random |