name: random-fu version: 0.0.0.2 x-revision: 1 stability: experimental cabal-version: >= 1.2 build-type: Simple author: James Cook maintainer: James Cook 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. 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.Poisson Data.Random.Distribution.Triangular Data.Random.Distribution.Uniform Data.Random.Internal.Classification Data.Random.Internal.Words Data.Random.RVar Data.Random.Source Data.Random.Source.DevRandom Data.Random.Source.StdGen Data.Random.Source.PureMT Data.Random.Source.Std build-depends: base >= 3 && < 4.3, bytestring, mersenne-random-pure64, monad-loops >= 0.3.0.1, mtl, random, stateref