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What happens if I push all of nixpkgs
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1.6 kB · 75 lines
Nix
at litex
12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576{ lib, stdenv, buildPythonPackage, cvxopt, ecos, fetchPypi, numpy, osqp, pytestCheckHook, pythonOlder, scipy, scs, setuptools, useOpenmp ? (!stdenv.isDarwin)}:
buildPythonPackage rec { pname = "cvxpy"; version = "1.3.1"; format = "pyproject";
disabled = pythonOlder "3.7";
src = fetchPypi { inherit pname version; hash = "sha256-8Hv+k2d6dVqFVMT9piLvAeIkes6Zs6eBB6qQcODQo8s="; };
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 ]; };}