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{
lib,
stdenv,
buildPythonPackage,
fetchFromGitHub,
# build-system
numpy,
pybind11,
setuptools,
# dependencies
clarabel,
cvxopt,
osqp,
scipy,
scs,
# tests
hypothesis,
pytestCheckHook,
useOpenmp ? (!stdenv.hostPlatform.isDarwin),
}:
buildPythonPackage rec {
pname = "cvxpy";
version = "1.7.5";
pyproject = true;
src = fetchFromGitHub {
owner = "cvxpy";
repo = "cvxpy";
tag = "v${version}";
hash = "sha256-ze9znWob/Asba20AVpNeVCuz7UayiYeW40nc7eZlXHU=";
};
postPatch =
# too tight tolerance in tests (AssertionError)
''
substituteInPlace cvxpy/tests/test_constant_atoms.py \
--replace-fail \
"CLARABEL: 1e-7," \
"CLARABEL: 1e-6,"
'';
build-system = [
numpy
pybind11
setuptools
];
dependencies = [
clarabel
cvxopt
numpy
osqp
scipy
scs
];
nativeCheckInputs = [
hypothesis
pytestCheckHook
];
# Required flags from https://github.com/cvxpy/cvxpy/releases/tag/v1.1.11
preBuild = lib.optionalString useOpenmp ''
export CFLAGS="-fopenmp"
export LDFLAGS="-lgomp"
'';
enabledTestPaths = [ "cvxpy" ];
disabledTests = [
# Disable the slowest benchmarking tests, cuts test time in half
"test_tv_inpainting"
"test_diffcp_sdp_example"
"test_huber"
"test_partial_problem"
# cvxpy.error.SolverError: Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information.
# https://github.com/cvxpy/cvxpy/issues/1588
"test_oprelcone_1_m1_k3_complex"
"test_oprelcone_1_m3_k1_complex"
"test_oprelcone_2"
];
pythonImportsCheck = [ "cvxpy" ];
meta = {
description = "Domain-specific language for modeling convex optimization problems in Python";
homepage = "https://www.cvxpy.org/";
downloadPage = "https://github.com/cvxpy/cvxpy//releases";
changelog = "https://github.com/cvxpy/cvxpy/releases/tag/v${version}";
license = lib.licenses.asl20;
maintainers = [ lib.maintainers.GaetanLepage ];
};
}
|
