name:                boltzmann-samplers
version:             0.1.0.0
synopsis:            Uniform random generators
description:

  Random generators with a uniform distribution conditioned
  to a given size.

  See also @<http://hackage.haskell.org/package/testing-feat testing-feat>@,
  which is currently a faster method with similar results.

homepage:            https://github.com/Lysxia/boltzmann-samplers#readme
license:             MIT
license-file:        LICENSE
author:              Li-yao Xia
maintainer:          lysxia@gmail.com
category:            Data, Generic, Random
build-type:          Simple
extra-source-files:  README.md
cabal-version:       >=1.10

flag test
  Description:
    Enable testing. Disabled by default because the current test suite
    is slow and can fail with non-zero probability.
  Manual:  True
  Default: False

library
  hs-source-dirs:      src
  exposed-modules:
    Boltzmann.Data
    Boltzmann.Data.Data
    Boltzmann.Data.Common
    Boltzmann.Data.Oracle
    Boltzmann.Data.Types
    Boltzmann.Solver
    Boltzmann.Species
  build-depends:
    ad,
    base >= 4.9 && < 5,
    containers,
    hashable,
    hmatrix,
    ieee754,
    unordered-containers,
    MonadRandom,
    mtl,
    QuickCheck,
    transformers,
    vector
  default-language:    Haskell2010

source-repository head
  type:     git
  location: https://github.com/Lysxia/boltzmann-samplers

test-suite test-tree
  type:             exitcode-stdio-1.0
  hs-source-dirs:   test
  main-is:          tree.hs
  default-language: Haskell2010
  other-modules:
    Test.Stats
  if flag(test)
    build-depends:
      base,
      QuickCheck,
      optparse-generic,
      boltzmann-samplers
  else
    buildable: False

benchmark bench-binarytree
  type:             exitcode-stdio-1.0
  hs-source-dirs:   bench
  main-is:          binaryTree.hs
  default-language: Haskell2010
  ghc-options: -O2
  if flag(test)
    build-depends:
      base,
      criterion,
      deepseq,
      QuickCheck,
      transformers,
      testing-feat,
      boltzmann-samplers
  else
    buildable: False