name: random-fu version: 0.2.7.3 stability: provisional cabal-version: >= 1.6 build-type: Simple author: James Cook maintainer: Dominic Steinitz 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 >= 4.9 && <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, 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