Cabal revisions of rvar-0.2.0.4
Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.
revision 1
-name: rvar-version: 0.2.0.4-stability: stable--cabal-version: >= 1.6-build-type: Simple--author: James Cook <mokus@deepbondi.net>-maintainer: James Cook <mokus@deepbondi.net>-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.- .- Changes in 0.2.0.1: Version bump for transformers- dependency.--tested-with: GHC == 6.8.3, GHC == 6.10.4, GHC == 6.12.3,- GHC == 7.0.4, GHC == 7.2.1, GHC == 7.2.2--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 && < 0.6+name: rvar +version: 0.2.0.4 +x-revision: 1 +stability: stable + +cabal-version: >= 1.6 +build-type: Simple + +author: James Cook <mokus@deepbondi.net> +maintainer: James Cook <mokus@deepbondi.net> +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. + . + Changes in 0.2.0.1: Version bump for transformers + dependency. + +tested-with: GHC == 6.8.3, GHC == 6.10.4, GHC == 6.12.3, + GHC == 7.0.4, GHC == 7.2.1, GHC == 7.2.2 + +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 >= 4.8 && <5, + MonadPrompt == 1.0.*, + random-source == 0.3.*, + transformers >= 0.2 && < 0.6