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{ lib
, stdenv
, pythonOlder
, buildPythonPackage
, fetchPypi
, cvxopt
, ecos
, numpy
, osqp
, scipy
, scs
, useOpenmp ? (!stdenv.isDarwin)
# Check inputs
, pytestCheckHook
}:
buildPythonPackage rec {
pname = "cvxpy";
version = "1.2.1";
format = "pyproject";
disabled = pythonOlder "3.5";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-bWdkJkPR3bLyr1m0Zrh9QsSi42eDGte0PDO1nu+ltQ4=";
};
propagatedBuildInputs = [
cvxopt
ecos
numpy
osqp
scipy
scs
];
# Required flags from https://github.com/cvxgrp/cvxpy/releases/tag/v1.1.11
preBuild = lib.optionalString useOpenmp ''
export CFLAGS="-fopenmp"
export LDFLAGS="-lgomp"
'';
checkInputs = [ pytestCheckHook ];
pytestFlagsArray = [ "./cvxpy" ];
# Disable the slowest benchmarking tests, cuts test time in half
disabledTests = [
"test_tv_inpainting"
"test_diffcp_sdp_example"
] ++ lib.optionals stdenv.isAarch64 [
"test_ecos_bb_mi_lp_2" # https://github.com/cvxgrp/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/cvxgrp/cvxpy/releases";
changelog = "https://github.com/cvxgrp/cvxpy/releases/tag/v${version}";
license = licenses.asl20;
maintainers = with maintainers; [ drewrisinger ];
};
}
|