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What happens if I push all of nixpkgs
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1.9 kB · 91 lines
Nix
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buildPythonPackage rec { pname = "cvxpy"; version = "1.4.2"; format = "pyproject";
disabled = pythonOlder "3.7";
src = fetchPypi { inherit pname version; hash = "sha256-CjhqV4jb14t7IN0HFSTsY2yPpys2KOafGrxxTI+YEeU="; };
# we need to patch out numpy version caps from upstream postPatch = '' sed -i 's/\(numpy>=[0-9.]*\),<[0-9.]*;/\1;/g' pyproject.toml '';
nativeBuildInputs = [ setuptools wheel pybind11 ];
propagatedBuildInputs = [ 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" # https://github.com/cvxpy/cvxpy/issues/2174 "test_scipy_mi_time_limit_reached" ] ++ 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 ]; };}