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highs.cabal
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highs.cabal
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cabal-version: 3.4
name: highs
version: 0.1.0.0
synopsis: Linear optimization library based on the HiGHS toolkit
description: Linear optimization library based on the HiGHS toolkit. It allows to define
linear optimization programs, and solve them.
This library provides a mechanism to create linear equations using arbitrary
types as labels.
homepage: https://powerweave.io
license: MIT
author: Laurent P. René de Cotret
maintainer: [email protected]
copyright: Powerweave
category: Math
build-type: Simple
source-repository head
type: git
location: https://github.com/PowerweaveInc/highs
common warnings
ghc-options: -Wall
-Wcompat
-Widentities
-Wincomplete-uni-patterns
-Wincomplete-record-updates
-Wredundant-constraints
-fhide-source-paths
-Wmissing-export-lists
-Wpartial-fields
default-language: GHC2021
library
import: warnings
exposed-modules: Numeric.LinearProgramming
Numeric.LinearProgramming.HiGHS
Numeric.LinearProgramming.HiGHS.LowLevel
Numeric.LinearProgramming.Program
build-depends: base >=4.17 && <4.20
, containers >= 0.6 && <0.8
, foldl ^>=1.4
, vector ^>=0.13
hs-source-dirs: src
-- The library HiGHS can be installed using
-- install_highs.sh
extra-libraries: highs
extra-lib-dirs: /usr/local/lib
include-dirs: /usr/local/include/highs
test-suite linopt-test
import: warnings
other-modules: Test.Numeric.LinearProgramming
Test.Numeric.LinearProgramming.HiGHS
Test.Numeric.LinearProgramming.HiGHS.LowLevel
Test.Numeric.LinearProgramming.Program
type: exitcode-stdio-1.0
hs-source-dirs: test
main-is: Main.hs
build-depends: base
, hedgehog
, highs
, tasty
, tasty-hunit
, tasty-hedgehog
, vector