name: DeepDarkFantasy version: 0.2017.4.9 cabal-version: 1.12 build-type: Simple license: Apache tested-with: GHC == 8.0.2 maintainer: lolisa@marisa.moe category: DSL description: Deep Dark Fantasy(DDF) is a domain specific language that allow one to automatically derive derivative of program in DDF. Hence, one can write neural network in DDF and use the derivative program for gradient descend. synopsis: A DSL for creating neural network. license-file: LICENSE source-repository head type: git location: https://github.com/ThoughtWorksInc/DeepDarkFantasy library exposed-modules: DDF.Bimap DDF.Bool DDF.Char DDF.Combine DDF.DBI DDF.Diff DDF.Double DDF.Dual DDF.Eval DDF.Float DDF.GWDiff DDF.ImportMeta DDF.ImpW DDF.Lang DDF.Map DDF.Meta.Dual DDF.Option DDF.Poly DDF.Prod DDF.Show DDF.Size DDF.UnHOAS DDF.Util DDF.WDiff DDF.WithDiff DDF.Xor build-depends: base >= 4.9.0.0 && <= 4.9.1.0, mtl -any, random -any, constraints -any, containers -any, bimap -any ghc-options: -Wall -Wno-type-defaults -Wno-missing-signatures -Wno-orphans -fwarn-tabs -ferror-spans default-language: Haskell2010 Test-Suite TestPoly type: exitcode-stdio-1.0 default-language: Haskell2010 hs-source-dirs: test main-is: TestPoly.hs build-depends: base >= 4.9.0.0 && <= 4.9.1.0, mtl -any, random -any, constraints -any, DeepDarkFantasy Test-Suite TestXor type: exitcode-stdio-1.0 default-language: Haskell2010 hs-source-dirs: test main-is: TestXor.hs build-depends: base >= 4.9.0.0 && <= 4.9.1.0, mtl -any, random -any, constraints -any, DeepDarkFantasy