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| author | rsiddharth <s@ricketyspace.net> | 2017-10-18 03:07:25 +0000 |
|---|---|---|
| committer | Ludovic Courtès <ludo@gnu.org> | 2017-10-22 15:32:14 -0700 |
| commit | 1a2a247bcece6b2787893b0cd3d93b75be5766af (patch) | |
| tree | a3b0ce8b427ed416996ccd41601e736f606db58e /gnu | |
| parent | a51ba897743d28e8599cccf88c1aa86fa07f3dde (diff) | |
| download | guix-1a2a247bcece6b2787893b0cd3d93b75be5766af.tar.gz | |
gnu: Add ghc-mwc-random.
* gnu/packages/haskell.scm (ghc-mwc-random): New variable. Signed-off-by: Ludovic Courtès <ludo@gnu.org>
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/haskell.scm | 39 |
1 files changed, 39 insertions, 0 deletions
diff --git a/gnu/packages/haskell.scm b/gnu/packages/haskell.scm index 0cc0d13fec..2959b25bf3 100644 --- a/gnu/packages/haskell.scm +++ b/gnu/packages/haskell.scm @@ -9108,4 +9108,43 @@ special mathematical functions and Chebyshev polynomials. These functions are often useful in statistical and numerical computing.") (license license:bsd-3))) +(define-public ghc-mwc-random + (package + (name "ghc-mwc-random") + (version "0.13.6.0") + (source + (origin + (method url-fetch) + (uri (string-append "https://hackage.haskell.org/package/" + "mwc-random-" version "/" + "mwc-random-" version ".tar.gz")) + (sha256 + (base32 + "05j7yh0hh9nxic3dijmzv44kc6gzclvamdph7sq7w19wq57k6pq6")))) + (build-system haskell-build-system) + (inputs + `(("ghc-primitive" ,ghc-primitive) + ("ghc-vector" ,ghc-vector) + ("ghc-math-functions" ,ghc-math-functions))) + (arguments + `(#:tests? #f)) ; FIXME: Test-Suite `spec` fails. + (native-inputs + `(("ghc-hunit" ,ghc-hunit) + ("ghc-quickcheck" ,ghc-quickcheck) + ("ghc-test-framework" ,ghc-test-framework) + ("ghc-test-framework-hunit" ,ghc-test-framework-hunit) + ("ghc-test-framework-quickcheck2" ,ghc-test-framework-quickcheck2))) + (home-page "https://github.com/bos/mwc-random") + (synopsis "Random number generation library for Haskell") + (description "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. + +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.") + (license license:bsd-3))) + ;;; haskell.scm ends here |