DCFL-0.1.2.0: DCFL.cabal
-- 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: 0.1.2.0
-- 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. (http://arxiv.org/pdf/1103.3240.pdf) 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.*, random ==1.0.*, HUnit ==1.2.*
ghc-options: -Wall