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66 lines
1.5 KiB
66 lines
1.5 KiB
{ lib
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, stdenv
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, pythonOlder
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, buildPythonPackage
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, fetchPypi
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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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, useOpenmp ? (!stdenv.isDarwin)
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# Check inputs
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, pytestCheckHook
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}:
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buildPythonPackage rec {
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pname = "cvxpy";
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version = "1.2.1";
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format = "pyproject";
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disabled = pythonOlder "3.5";
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src = fetchPypi {
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inherit pname version;
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sha256 = "sha256-bWdkJkPR3bLyr1m0Zrh9QsSi42eDGte0PDO1nu+ltQ4=";
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};
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propagatedBuildInputs = [
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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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# Required flags from https://github.com/cvxgrp/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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checkInputs = [ pytestCheckHook ];
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pytestFlagsArray = [ "./cvxpy" ];
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# Disable the slowest benchmarking tests, cuts test time in half
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disabledTests = [
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"test_tv_inpainting"
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"test_diffcp_sdp_example"
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] ++ lib.optionals stdenv.isAarch64 [
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"test_ecos_bb_mi_lp_2" # https://github.com/cvxgrp/cvxpy/issues/1241#issuecomment-780912155
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];
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pythonImportsCheck = [ "cvxpy" ];
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meta = with lib; {
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description = "A 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/cvxgrp/cvxpy/releases";
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changelog = "https://github.com/cvxgrp/cvxpy/releases/tag/v${version}";
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license = licenses.asl20;
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maintainers = with maintainers; [ drewrisinger ];
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};
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}
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