Cabal revisions of probable-0.1.2
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-name: probable-version: 0.1.2-synopsis: Easy and reasonably efficient probabilistic programming and random generation-description: Easy and reasonably efficient probabilistic programming and random generation- .- This library gives a common language to speak about- probability distributions and- random generation, by wrapping both, when necessary,- in a 'RandT' monad defined in @Math.Probable.Random@.- This module also provides a lot of useful little- combinators for easily describing how random values for your- types should be generated.- .- In @Math.Probable.Distribution@, you'll find functions for generating- random values that follow any distribution supported by- <http://hackage.haskell.org/package/mwc-random mwc-random>.- .- In @Math.Probable.Distribution.Finite@, you'll find an adaptation- of Eric Kidd's work on probability monads (from- <http://www.randomhacks.net/probability-monads/ here>).- .- You may want to check the examples bundled with this package,- viewable online at <https://github.com/alpmestan/probable/tree/master/examples>.- One of these examples is simple enough to be worth reproducing here.- .- > module Main where- >- > import Control.Applicative- > import Control.Monad- > import Math.Probable- >- > import qualified Data.Vector.Unboxed as VU- >- > data Person = Person Int -- ^ age- > Double -- ^ weight (kgs)- > Double -- ^ salary (e.g euros)- > deriving (Eq, Show)- >- > person :: RandT IO Person- > person =- > Person <$> uniformIn (1, 100)- > <*> uniformIn (2, 130)- > <*> uniformIn (500, 10000)- >- > randomPersons :: Int -> IO [Person]- > randomPersons n = mwc $ listOf n person- >- > randomDoubles :: Int -> IO (VU.Vector Double)- > randomDoubles n = mwc $ vectorOf n double- >- > main :: IO ()- > main = do- > randomPersons 10 >>= mapM_ print- > randomDoubles 10 >>= VU.mapM_ print- .- Please report any feature request or problem, either by email- or through github's issues/feature requests.-homepage: http://github.com/alpmestan/probable-bug-reports: http://github.com/alpmestan/probable/issues-license: BSD3-license-file: LICENSE-author: Alp Mestanogullari-maintainer: alpmestan@gmail.com-copyright: 2014-2016 Alp Mestanogullari-category: Math, Statistics-build-type: Simple-cabal-version: >=1.10-tested-with: GHC == 7.6.3, GHC == 7.8.2, GHC == 7.10.1-extra-source-files: bench/*.hs,- examples/*.hs,- README.md--source-repository head- type: git- location: https://github.com/alpmestan/probable.git--library- exposed-modules: Math.Probable,- Math.Probable.Distribution,- Math.Probable.Distribution.Finite,- Math.Probable.Random- other-modules:- build-depends: base >=4.5 && <4.10,- statistics >= 0.10,- vector >= 0.10,- mwc-random >= 0.10,- primitive,- mtl,- transformers >= 0.3-- hs-source-dirs: src- default-language: Haskell2010- ghc-options: -O2 -funbox-strict-fields -Wall--benchmark random- main-is: random.hs- hs-source-dirs: bench- ghc-options: -O2 -funbox-strict-fields- type: exitcode-stdio-1.0- build-depends: base >= 4 && < 5,- vector >= 0.7,- criterion,- probable,- mwc-random,- mwc-random-monad- default-language: Haskell2010+name: probable +version: 0.1.2 +x-revision: 1 +synopsis: Easy and reasonably efficient probabilistic programming and random generation +description: Easy and reasonably efficient probabilistic programming and random generation + . + This library gives a common language to speak about + probability distributions and + random generation, by wrapping both, when necessary, + in a 'RandT' monad defined in @Math.Probable.Random@. + This module also provides a lot of useful little + combinators for easily describing how random values for your + types should be generated. + . + In @Math.Probable.Distribution@, you'll find functions for generating + random values that follow any distribution supported by + <http://hackage.haskell.org/package/mwc-random mwc-random>. + . + In @Math.Probable.Distribution.Finite@, you'll find an adaptation + of Eric Kidd's work on probability monads (from + <http://www.randomhacks.net/probability-monads/ here>). + . + You may want to check the examples bundled with this package, + viewable online at <https://github.com/alpmestan/probable/tree/master/examples>. + One of these examples is simple enough to be worth reproducing here. + . + > module Main where + > + > import Control.Applicative + > import Control.Monad + > import Math.Probable + > + > import qualified Data.Vector.Unboxed as VU + > + > data Person = Person Int -- ^ age + > Double -- ^ weight (kgs) + > Double -- ^ salary (e.g euros) + > deriving (Eq, Show) + > + > person :: RandT IO Person + > person = + > Person <$> uniformIn (1, 100) + > <*> uniformIn (2, 130) + > <*> uniformIn (500, 10000) + > + > randomPersons :: Int -> IO [Person] + > randomPersons n = mwc $ listOf n person + > + > randomDoubles :: Int -> IO (VU.Vector Double) + > randomDoubles n = mwc $ vectorOf n double + > + > main :: IO () + > main = do + > randomPersons 10 >>= mapM_ print + > randomDoubles 10 >>= VU.mapM_ print + . + Please report any feature request or problem, either by email + or through github's issues/feature requests. +homepage: http://github.com/alpmestan/probable +bug-reports: http://github.com/alpmestan/probable/issues +license: BSD3 +license-file: LICENSE +author: Alp Mestanogullari +maintainer: alpmestan@gmail.com +copyright: 2014-2016 Alp Mestanogullari +category: Math, Statistics +build-type: Simple +cabal-version: >=1.10 +tested-with: GHC == 7.6.3, GHC == 7.8.2, GHC == 7.10.1 +extra-source-files: bench/*.hs, + examples/*.hs, + README.md + +source-repository head + type: git + location: https://github.com/alpmestan/probable.git + +library + exposed-modules: Math.Probable, + Math.Probable.Distribution, + Math.Probable.Distribution.Finite, + Math.Probable.Random + other-modules: + build-depends: base >=4.5 && <4.10, + statistics >= 0.10 && <0.14, + vector >= 0.10, + mwc-random >= 0.10, + primitive, + mtl, + transformers >= 0.3 + + hs-source-dirs: src + default-language: Haskell2010 + ghc-options: -O2 -funbox-strict-fields -Wall + +benchmark random + main-is: random.hs + hs-source-dirs: bench + ghc-options: -O2 -funbox-strict-fields + type: exitcode-stdio-1.0 + build-depends: base >= 4 && < 5, + vector >= 0.7, + criterion, + probable, + mwc-random, + mwc-random-monad + default-language: Haskell2010