hlcm-0.2.1: hlcm.cabal

name:                hlcm
version:             0.2.1
synopsis:            Fast algorithm for mining closed frequent itemsets
description:         Closed frequent itemsets are patterns that occur more 
		     than a defined threshold in a transactional database. 
		     This program is a Haskell implementation of the LCM2
		     algorithm by Takeaki Uno and Hiroki Arimura, which
		     is the fastest algorithm for this task. 
		     This implementation can make use of several threads. 
category: 	     Algorithms, Data Mining           
license:             BSD3
license-file:        LICENSE
author:              Alexandre Termier
maintainer:          Alexandre.Termier@imag.fr
homepage:	     http://membres-liglab.imag.fr/termier/HLCM/hlcm.html
build-depends:       base >=3 && < 4,
		     bytestring,
		     haskell98,
		     array >= 0.2,
		     parallel >= 1.1,
		     containers >= 0.3,
		     bytestring-csv
build-type:          Simple
cabal-version:       >= 1.2
data-files:          README,
                     Data/datasets.tgz

library
  exposed-modules:   HLCM
  build-depends:     base,
                     bytestring,
                     haskell98,
                     array >= 0.2,
                     parallel >= 2.2
  ghc-options:       -O2 -threaded


executable hlcm
  main-is:             Main.hs
  ghc-options:         -O2 -threaded
  build-depends:       base >=3 && < 4,
                       bytestring,
                       haskell98,
                       array >= 0.2,
                       parallel >= 2.2,
                       containers >= 0.3,
                       bytestring-csv

executable benchHLCM
  main-is:             Bench.hs
  ghc-options:         -O2 -threaded