Cabal revisions of random-fu-0.2.7.0
Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.
revision 1
-name: random-fu-version: 0.2.7.0-stability: provisional--cabal-version: >= 1.6-build-type: Simple--author: James Cook <mokus@deepbondi.net>-maintainer: Dominic Steinitz <dominic@steinitz.org>-license: PublicDomain-homepage: https://github.com/mokus0/random-fu--category: Math-synopsis: Random number generation-description: 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.- .- In my testing, I have found it capable of speed - comparable to other Haskell libraries, but still- a fair bit slower than straight C implementations of - the same algorithms.--tested-with: GHC == 7.10.3--extra-source-files: changelog.md--source-repository head- type: git- location: https://github.com/mokus0/random-fu.git- subdir: random-fu--Flag base4_2- Description: base-4.2 has an incompatible change in Data.Fixed (HasResolution)--Flag mtl2- Description: mtl-2 has State, etc., as "type" rather than "newtype"--Library- ghc-options: -Wall -funbox-strict-fields- hs-source-dirs: src- exposed-modules: Data.Random- Data.Random.Distribution- Data.Random.Distribution.Bernoulli- Data.Random.Distribution.Beta- Data.Random.Distribution.Binomial- Data.Random.Distribution.Categorical- Data.Random.Distribution.ChiSquare- Data.Random.Distribution.Dirichlet- Data.Random.Distribution.Exponential- Data.Random.Distribution.StretchedExponential- Data.Random.Distribution.Gamma- Data.Random.Distribution.Multinomial- Data.Random.Distribution.Normal- Data.Random.Distribution.Pareto- Data.Random.Distribution.Poisson- Data.Random.Distribution.Rayleigh- Data.Random.Distribution.Simplex- Data.Random.Distribution.T- Data.Random.Distribution.Triangular- Data.Random.Distribution.Uniform- Data.Random.Distribution.Weibull- Data.Random.Distribution.Ziggurat- Data.Random.Internal.Find- Data.Random.Internal.Fixed- Data.Random.Internal.TH- Data.Random.Lift- Data.Random.List- Data.Random.RVar- Data.Random.Sample- Data.Random.Vector- if flag(base4_2)- build-depends: base >= 4.2 && <5- else- cpp-options: -Dold_Fixed- build-depends: base >= 4 && <4.2- - if flag(mtl2)- build-depends: mtl == 2.*- cpp-options: -DMTL2- else- build-depends: mtl == 1.*- - build-depends: math-functions,- monad-loops >= 0.3.0.1,- random-shuffle,- random-source == 0.3.*,- rvar == 0.2.*,- syb,- template-haskell,- transformers,- vector >= 0.7,- log-domain >=0.9 && <1.0-- if os(Windows)- cpp-options: -Dwindows- build-depends: erf-native- else- build-depends: erf- - if impl(ghc == 7.2.1)- -- Doesn't work under GHC 7.2.1 due to- -- http://hackage.haskell.org/trac/ghc/ticket/5410- -- (7.2.2 is fine though, as long as random-source is new enough)- Buildable: False+name: random-fu +version: 0.2.7.0 +x-revision: 1 +stability: provisional + +cabal-version: >= 1.6 +build-type: Simple + +author: James Cook <mokus@deepbondi.net> +maintainer: Dominic Steinitz <dominic@steinitz.org> +license: PublicDomain +homepage: https://github.com/mokus0/random-fu + +category: Math +synopsis: Random number generation +description: 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. + . + In my testing, I have found it capable of speed + comparable to other Haskell libraries, but still + a fair bit slower than straight C implementations of + the same algorithms. + +tested-with: GHC == 7.10.3 + +extra-source-files: changelog.md + +source-repository head + type: git + location: https://github.com/mokus0/random-fu.git + subdir: random-fu + +Flag base4_2 + Description: base-4.2 has an incompatible change in Data.Fixed (HasResolution) + +Flag mtl2 + Description: mtl-2 has State, etc., as "type" rather than "newtype" + +Library + ghc-options: -Wall -funbox-strict-fields + hs-source-dirs: src + exposed-modules: Data.Random + Data.Random.Distribution + Data.Random.Distribution.Bernoulli + Data.Random.Distribution.Beta + Data.Random.Distribution.Binomial + Data.Random.Distribution.Categorical + Data.Random.Distribution.ChiSquare + Data.Random.Distribution.Dirichlet + Data.Random.Distribution.Exponential + Data.Random.Distribution.StretchedExponential + Data.Random.Distribution.Gamma + Data.Random.Distribution.Multinomial + Data.Random.Distribution.Normal + Data.Random.Distribution.Pareto + Data.Random.Distribution.Poisson + Data.Random.Distribution.Rayleigh + Data.Random.Distribution.Simplex + Data.Random.Distribution.T + Data.Random.Distribution.Triangular + Data.Random.Distribution.Uniform + Data.Random.Distribution.Weibull + Data.Random.Distribution.Ziggurat + Data.Random.Internal.Find + Data.Random.Internal.Fixed + Data.Random.Internal.TH + Data.Random.Lift + Data.Random.List + Data.Random.RVar + Data.Random.Sample + Data.Random.Vector + if flag(base4_2) + build-depends: base >= 4.2 && <4.13 + else + cpp-options: -Dold_Fixed + build-depends: base >= 4 && <4.2 + + if flag(mtl2) + build-depends: mtl == 2.* + cpp-options: -DMTL2 + else + build-depends: mtl == 1.* + + build-depends: math-functions, + monad-loops >= 0.3.0.1, + random-shuffle, + random-source == 0.3.*, + rvar == 0.2.*, + syb, + template-haskell, + transformers, + vector >= 0.7, + log-domain >=0.9 && <0.13 + + if os(Windows) + cpp-options: -Dwindows + build-depends: erf-native + else + build-depends: erf + + if impl(ghc == 7.2.1) + -- Doesn't work under GHC 7.2.1 due to + -- http://hackage.haskell.org/trac/ghc/ticket/5410 + -- (7.2.2 is fine though, as long as random-source is new enough) + Buildable: False