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{ lib
, stdenv
, buildPythonPackage
, fetchFromGitHub
, Accelerate
, blas
, lapack
, numpy
, scipy
# check inputs
, pytestCheckHook
}:
buildPythonPackage rec {
pname = "scs";
version = "3.2.3";
src = fetchFromGitHub {
owner = "bodono";
repo = "scs-python";
rev = version;
hash = "sha256-/5yGvZy3luGQkbYcsb/6TZLYou91lpA3UKONviMVpuM=";
fetchSubmodules = true;
};
env = lib.optionalAttrs (!stdenv.isDarwin) {
# provide lib locations in env vars as numpy distutils 1.26.1 and later
# does not
BLAS = lib.getLib blas;
LAPACK = lib.getLib lapack;
};
buildInputs = if stdenv.isDarwin then [
Accelerate
] else [
blas
lapack
];
propagatedBuildInputs = [
numpy
scipy
];
nativeCheckInputs = [ pytestCheckHook ];
pythonImportsCheck = [ "scs" ];
disabledTests = lib.lists.optional (stdenv.system == "x86_64-linux") [
# `test/test_scs_rand.py` hang on "x86_64-linux" (https://github.com/NixOS/nixpkgs/pull/244532#pullrequestreview-1598095858)
"test_feasible"
"test_infeasibl"
"test_unbounded"
];
meta = with lib; {
description = "Python interface for SCS: Splitting Conic Solver";
longDescription = ''
Solves convex cone programs via operator splitting.
Can solve: linear programs (LPs), second-order cone programs (SOCPs), semidefinite programs (SDPs),
exponential cone programs (ECPs), and power cone programs (PCPs), or problems with any combination of those cones.
'';
homepage = "https://github.com/cvxgrp/scs"; # upstream C package
downloadPage = "https://github.com/bodono/scs-python";
license = licenses.mit;
maintainers = with maintainers; [ drewrisinger ];
};
}
|