Name:               hmm
Version:            0.1
Description:
    A simple library for working with Hidden Markov Models.
    Should be usable even by people who are not familiar with
    HMMs. Includes implementations of Viterbi's algorithm and
    the forward algorithm.
Category:           algorithms, natural language processing, data mining
Synopsis:           Hidden Markov Model algorithms
License:            BSD3
License-file:       LICENSE
Author:             Max Rabkin
Maintainer:         max.rabkin@gmail.com
Stability:          Alpha
Build-Type:         Simple
Cabal-Version:      >= 1.2

Flag small_base
    Description: Choose the new smaller, split-up base package.

Library
    if flag(small_base)
        Build-Depends:  base >= 3, containers
    else
        Build-Depends:  base < 3
        
    Exposed-Modules:
        Data.HMM

    Other-Modules:
        Data.Lognum

    Extensions:
        ParallelListComp