name: random-fu version: 0.2 x-revision: 1 stability: provisional cabal-version: >= 1.6 build-type: Simple author: James Cook maintainer: James Cook 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. Warning to anyone upgrading from \"< 0.2\": The old random-fu package has been split into three parts: random-source, rvar, and this new random-fu. The end-user interface is mostly the same. tested-with: GHC == 6.10.4, GHC == 6.12.1, GHC == 6.12.3, GHC == 7.0.1, GHC == 7.0.2 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 -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.ChiSquare 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.TH Data.Random.Lift Data.Random.List Data.Random.RVar Data.Random.Sample if flag(base4_2) build-depends: base >= 4.2 && <4.4 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: gamma, monad-loops >= 0.3.0.1, random-shuffle, random-source == 0.3.*, rvar == 0.2.*, syb, template-haskell, transformers, vector >= 0.7 if os(Windows) cpp-options: -Dwindows build-depends: erf-native else build-depends: erf