rvar-0.2: rvar.cabal

name:                   rvar
version:                0.2
stability:              stable

cabal-version:          >= 1.6
build-type:             Simple

author:                 James Cook <james.cook@usma.edu>
maintainer:             James Cook <james.cook@usma.edu>
license:                PublicDomain
homepage:               https://github.com/mokus0/random-fu

category:               Math
synopsis:               Random Variables
description:            Random number generation based on modeling random 
                        variables 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 == 6.8.3, 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:               rvar

Flag mtl2
    Description:        mtl-2 has State, etc., as "type" rather than "newtype"

Library
  ghc-options:          -Wall
  hs-source-dirs:       src
  exposed-modules:      Data.RVar

  if flag(mtl2)
    build-depends:      mtl == 2.*
    cpp-options:        -DMTL2
  else
    build-depends:      mtl == 1.1.*
  
  build-depends:        base            >= 3 && <5,
                        MonadPrompt     == 1.0.*,
                        random-source   == 0.3.*,
                        transformers    == 0.2.*