Cabal revisions of random-fu-0.0.2.0
Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.
revision 1
-name: random-fu-version: 0.0.2.0-stability: experimental--cabal-version: >= 1.2-build-type: Simple--author: James Cook <james.cook@usma.edu>-maintainer: James Cook <james.cook@usma.edu>-license: PublicDomain-homepage: http://code.haskell.org/~mokus/random-fu--category: Math-synopsis: Random number generation-description: Random number generation based on orthogonal typeclasses- for entropy sources and random variable distributions, all- served up on a monadic platter. Aspires to be useful- in an idiomatic way in both \"pure\" and \"impure\" styles,- as well as reasonably fast. May not yet meet the latter- goal, but I think the former is starting to shape up- nicely.--Flag base4--Library- 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.Exponential- Data.Random.Distribution.Discrete- Data.Random.Distribution.Gamma- Data.Random.Distribution.Normal- Data.Random.Distribution.Ziggurat- Data.Random.Distribution.Poisson- Data.Random.Distribution.Rayleigh- Data.Random.Distribution.Triangular- Data.Random.Distribution.Uniform- Data.Random.Internal.Find- Data.Random.Internal.TH- Data.Random.Internal.Words- Data.Random.List- Data.Random.Lift- Data.Random.RVar- Data.Random.Sample- Data.Random.Source- Data.Random.Source.DevRandom- Data.Random.Source.StdGen- Data.Random.Source.PureMT- Data.Random.Source.Std- if flag(base4)- build-depends: base >= 4,- syb- else- build-depends: base >= 3 && < 4- - build-depends: array,- containers,- mersenne-random-pure64,- monad-loops >= 0.3.0.1,- mtl,- random,- stateref,- storablevector,- template-haskell+name: random-fu +version: 0.0.2.0 +x-revision: 1 +stability: experimental + +cabal-version: >= 1.2 +build-type: Simple + +author: James Cook <james.cook@usma.edu> +maintainer: James Cook <james.cook@usma.edu> +license: PublicDomain +homepage: http://code.haskell.org/~mokus/random-fu + +category: Math +synopsis: Random number generation +description: Random number generation based on orthogonal typeclasses + for entropy sources and random variable distributions, all + served up on a monadic platter. Aspires to be useful + in an idiomatic way in both \"pure\" and \"impure\" styles, + as well as reasonably fast. May not yet meet the latter + goal, but I think the former is starting to shape up + nicely. + +Flag base4 + +Library + 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.Exponential + Data.Random.Distribution.Discrete + Data.Random.Distribution.Gamma + Data.Random.Distribution.Normal + Data.Random.Distribution.Ziggurat + Data.Random.Distribution.Poisson + Data.Random.Distribution.Rayleigh + Data.Random.Distribution.Triangular + Data.Random.Distribution.Uniform + Data.Random.Internal.Find + Data.Random.Internal.TH + Data.Random.Internal.Words + Data.Random.List + Data.Random.Lift + Data.Random.RVar + Data.Random.Sample + Data.Random.Source + Data.Random.Source.DevRandom + Data.Random.Source.StdGen + Data.Random.Source.PureMT + Data.Random.Source.Std + if flag(base4) + build-depends: base >= 4 && < 4.3, + syb + else + build-depends: base >= 3 && < 4 + + build-depends: array, + containers, + mersenne-random-pure64, + monad-loops >= 0.3.0.1, + mtl, + random, + stateref, + storablevector, + template-haskell