159e378cbb
GitOrigin-RevId: c04d5652cfa9742b1d519688f65d1bbccea9eb7e
91 lines
1.7 KiB
Nix
91 lines
1.7 KiB
Nix
{
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lib,
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stdenv,
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buildPythonPackage,
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pythonOlder,
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fetchFromGitHub,
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# build-system
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numpy,
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pybind11,
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setuptools,
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# dependencies
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clarabel,
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cvxopt,
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ecos,
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osqp,
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scipy,
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scs,
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# checks
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pytestCheckHook,
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useOpenmp ? (!stdenv.isDarwin),
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}:
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buildPythonPackage rec {
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pname = "cvxpy";
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version = "1.5.3";
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pyproject = true;
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disabled = pythonOlder "3.9";
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src = fetchFromGitHub {
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owner = "cvxpy";
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repo = "cvxpy";
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rev = "refs/tags/v${version}";
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hash = "sha256-6RaEyFckvF3WhbfeffysMB/zt+aU1NU6B7Nm06znt9k=";
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};
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# we need to patch out numpy version caps from upstream
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postPatch = ''
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substituteInPlace pyproject.toml \
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--replace-fail "numpy >= 2.0.0" "numpy"
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'';
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build-system = [
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numpy
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pybind11
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setuptools
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];
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dependencies = [
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clarabel
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cvxopt
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ecos
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numpy
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osqp
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scipy
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scs
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];
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nativeCheckInputs = [ pytestCheckHook ];
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# Required flags from https://github.com/cvxpy/cvxpy/releases/tag/v1.1.11
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preBuild = lib.optionalString useOpenmp ''
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export CFLAGS="-fopenmp"
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export LDFLAGS="-lgomp"
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'';
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pytestFlagsArray = [ "cvxpy" ];
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disabledTests = [
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# Disable the slowest benchmarking tests, cuts test time in half
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"test_tv_inpainting"
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"test_diffcp_sdp_example"
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"test_huber"
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"test_partial_problem"
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];
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pythonImportsCheck = [ "cvxpy" ];
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meta = {
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description = "Domain-specific language for modeling convex optimization problems in Python";
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homepage = "https://www.cvxpy.org/";
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downloadPage = "https://github.com/cvxpy/cvxpy//releases";
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changelog = "https://github.com/cvxpy/cvxpy/releases/tag/v${version}";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ drewrisinger ];
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};
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}
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