depot/third_party/nixpkgs/pkgs/development/python-modules/cvxpy/default.nix
Default email d5f4a57cbf Project import generated by Copybara.
GitOrigin-RevId: ce5e4a6ef2e59d89a971bc434ca8ca222b9c7f5e
2023-08-10 09:59:29 +02:00

75 lines
1.5 KiB
Nix

{ lib
, stdenv
, buildPythonPackage
, cvxopt
, ecos
, fetchPypi
, numpy
, osqp
, pytestCheckHook
, pythonOlder
, scipy
, scs
, setuptools
, useOpenmp ? (!stdenv.isDarwin)
}:
buildPythonPackage rec {
pname = "cvxpy";
version = "1.3.2";
format = "pyproject";
disabled = pythonOlder "3.7";
src = fetchPypi {
inherit pname version;
hash = "sha256-C2heUEDxmfPXA/MPXSLR+GVZdiNFUVPR3ddwJFrvCXU=";
};
propagatedBuildInputs = [
cvxopt
ecos
numpy
osqp
scipy
scs
setuptools
];
nativeCheckInputs = [
pytestCheckHook
];
# Required flags from https://github.com/cvxpy/cvxpy/releases/tag/v1.1.11
preBuild = lib.optionalString useOpenmp ''
export CFLAGS="-fopenmp"
export LDFLAGS="-lgomp"
'';
pytestFlagsArray = [
"cvxpy"
];
disabledTests = [
# Disable the slowest benchmarking tests, cuts test time in half
"test_tv_inpainting"
"test_diffcp_sdp_example"
"test_huber"
"test_partial_problem"
] ++ lib.optionals stdenv.isAarch64 [
"test_ecos_bb_mi_lp_2" # https://github.com/cvxpy/cvxpy/issues/1241#issuecomment-780912155
];
pythonImportsCheck = [
"cvxpy"
];
meta = with lib; {
description = "A domain-specific language for modeling convex optimization problems in Python";
homepage = "https://www.cvxpy.org/";
downloadPage = "https://github.com/cvxpy/cvxpy//releases";
changelog = "https://github.com/cvxpy/cvxpy/releases/tag/v${version}";
license = licenses.asl20;
maintainers = with maintainers; [ drewrisinger ];
};
}