-- Initial DCFL.cabal generated by cabal init. For further documentation, -- see http://haskell.org/cabal/users-guide/ -- The name of the package. name: DCFL -- The package version. See the Haskell package versioning policy (PVP) -- for standards guiding when and how versions should be incremented. -- http://www.haskell.org/haskellwiki/Package_versioning_policy -- PVP summary: +-+------- breaking API changes -- | | +----- non-breaking API additions -- | | | +--- code changes with no API change version: 0.1.5.0 -- A short (one-line) description of the package. synopsis: Communication Free Learning-based constraint solver -- A longer description of the package. description: An implementation of Communication Free Learning, a technique used to solve Constraint Satisfcation Problems (CSPs) in a parallelizable manner. The algorithm is described in the paper Decentralized Constraint Satisfaction by Duffy, et. al. and this implementation provides both parallel and serial solvers. -- URL for the project homepage or repository. homepage: https://github.com/Poincare/DCFL -- The license under which the package is released. license: MIT -- The file containing the license text. license-file: LICENSE -- The package author(s). author: Dhaivat Pandya -- An email address to which users can send suggestions, bug reports, and -- patches. maintainer: dpandya@college.harvard.edu -- A copyright notice. -- copyright: category: Data build-type: Simple -- Constraint on the version of Cabal needed to build this package. cabal-version: >=1.8 source-repository head type: git location: https://github.com/Poincare/DCFL.git library -- Modules exported by the library. hs-source-dirs: src exposed-modules: Data.DCFL -- Modules included in this library but not exported. -- other-modules: -- Other library packages from which modules are imported. build-depends: base >=4.6 && <= 5.0, random >=1.0, HUnit >=1.2, deepseq ==1.4 ghc-options: -Wall