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{
lib,
stdenv,
buildPythonPackage,
pythonOlder,
fetchFromGitHub,
# build-system
numpy,
pybind11,
setuptools,
# dependencies
clarabel,
cvxopt,
ecos,
osqp,
scipy,
scs,
# checks
pytestCheckHook,
useOpenmp ? (!stdenv.hostPlatform.isDarwin),
}:
buildPythonPackage rec {
pname = "cvxpy";
version = "1.5.3";
pyproject = true;
disabled = pythonOlder "3.9";
src = fetchFromGitHub {
owner = "cvxpy";
repo = "cvxpy";
rev = "refs/tags/v${version}";
hash = "sha256-6RaEyFckvF3WhbfeffysMB/zt+aU1NU6B7Nm06znt9k=";
};
# we need to patch out numpy version caps from upstream
postPatch = ''
substituteInPlace pyproject.toml \
--replace-fail "numpy >= 2.0.0" "numpy"
'';
build-system = [
numpy
pybind11
setuptools
];
dependencies = [
clarabel
cvxopt
ecos
numpy
osqp
scipy
scs
];
nativeCheckInputs = [ pytestCheckHook ];
# Required flags from https://github.com/cvxpy/cvxpy/releases/tag/v1.1.11
preBuild = lib.optionalString useOpenmp ''
export CFLAGS="-fopenmp"
export LDFLAGS="-lgomp"
'';
pytestFlagsArray = [ "cvxpy" ];
disabledTests = [
# Disable the slowest benchmarking tests, cuts test time in half
"test_tv_inpainting"
"test_diffcp_sdp_example"
"test_huber"
"test_partial_problem"
];
pythonImportsCheck = [ "cvxpy" ];
meta = {
description = "Domain-specific language for modeling convex optimization problems in Python";
homepage = "https://www.cvxpy.org/";
downloadPage = "https://github.com/cvxpy/cvxpy//releases";
changelog = "https://github.com/cvxpy/cvxpy/releases/tag/v${version}";
license = lib.licenses.asl20;
maintainers = with lib.maintainers; [ drewrisinger ];
};
}
|
