nixpkgs/pkgs/development/python-modules/mip/default.nix

96 lines
2.5 KiB
Nix

{
lib,
stdenv,
buildPythonPackage,
cffi,
dos2unix,
fetchPypi,
matplotlib,
networkx,
numpy,
pytestCheckHook,
pythonOlder,
setuptools,
setuptools-scm,
wheel,
gurobi,
gurobipy,
# Enable support for the commercial Gurobi solver (requires a license)
gurobiSupport ? false,
# If Gurobi has already been installed outside of the Nix store, specify its
# installation directory here
gurobiHome ? null,
}:
buildPythonPackage rec {
pname = "mip";
version = "1.15.0";
format = "pyproject";
disabled = pythonOlder "3.7";
src = fetchPypi {
inherit pname version;
hash = "sha256-f28Dgc/ixSwbhkAgPaLLVpdLJuI5UN37GnazfZFvGX4=";
};
nativeCheckInputs = [
matplotlib
networkx
numpy
pytestCheckHook
];
nativeBuildInputs = [
dos2unix
setuptools
setuptools-scm
wheel
];
propagatedBuildInputs = [
cffi
] ++ lib.optionals gurobiSupport ([ gurobipy ] ++ lib.optional (gurobiHome == null) gurobi);
# Source files have CRLF terminators, which make patch error out when supplied
# with diffs made on *nix machines
prePatch = ''
find . -type f -exec ${dos2unix}/bin/dos2unix {} \;
'';
patches = [
# Some tests try to be smart and dynamically construct a path to their test
# inputs. Unfortunately, since the test phase is run after installation,
# those paths point to the Nix store, which no longer contains the test
# data. This patch hardcodes the data path to point to the source directory.
./test-data-path.patch
];
postPatch = ''
# Allow newer cffi versions to be used
substituteInPlace pyproject.toml --replace "cffi==1.15.*" "cffi>=1.15"
'';
# Make MIP use the Gurobi solver, if configured to do so
makeWrapperArgs = lib.optional gurobiSupport "--set GUROBI_HOME ${
if gurobiHome == null then gurobi.outPath else gurobiHome
}";
# Tests that rely on Gurobi are activated only when Gurobi support is enabled
disabledTests = lib.optional (!gurobiSupport) "gurobi";
optional-dependencies = {
inherit gurobipy numpy;
};
meta = with lib; {
homepage = "https://python-mip.com/";
description = "Collection of Python tools for the modeling and solution of Mixed-Integer Linear programs (MIPs)";
downloadPage = "https://github.com/coin-or/python-mip/releases";
changelog = "https://github.com/coin-or/python-mip/releases/tag/${version}";
license = licenses.epl20;
broken = stdenv.hostPlatform.isAarch64;
maintainers = with maintainers; [ nessdoor ];
};
}