name: random-fu version: 0.1.3 x-revision: 1 stability: provisional cabal-version: >= 1.6 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 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. Warning to anyone upgrading from \"< 0.1\": 'Discrete' has been renamed 'Categorical', the entropy source classes have been redesigned, and many things are no longer exported from the root module "Data.Random" (In particular, DevRandom - this is not available on windows, so it will likely move to its own package eventually so that client code dependencies on it will be made explicit). Support for "base" packages earlier than version 4 (and thus GHC releases earlier than 6.10) has been dropped, as too many of this package's dependencies do not support older versions. The "Data.Random" module itself should now have a relatively stable interface, but the other modules are still subject to change. Specifically, I am considering hiding data constructors for most or all of the distributions. 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 -fno-method-sharing 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.Dirichlet Data.Random.Distribution.Exponential Data.Random.Distribution.Gamma Data.Random.Distribution.Multinomial Data.Random.Distribution.Normal Data.Random.Distribution.Poisson Data.Random.Distribution.Rayleigh 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.Primitives Data.Random.Internal.TH Data.Random.Internal.Words Data.Random.Lift Data.Random.List Data.Random.RVar Data.Random.Sample Data.Random.Source Data.Random.Source.MWC Data.Random.Source.PureMT Data.Random.Source.Std Data.Random.Source.StdGen if flag(base4_2) build-depends: base >= 4.2 && <4.3 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: array, containers, mersenne-random-pure64, monad-loops >= 0.3.0.1, MonadPrompt, mwc-random, random, random-shuffle, stateref >= 0.3 && < 0.4, syb, tagged, template-haskell, vector if os(Windows) cpp-options: -Dwindows build-depends: erf-native else build-depends: erf exposed-modules: Data.Random.Source.DevRandom