Files
nixpkgs/pkgs/development/python-modules/cvxopt/default.nix
T
Edward Tjörnhammar 7d1bb2cb0f Revert "maintainers: drop edwtjo"
This partially reverts commit c0ec79be1d
as I intend to be more active.
2025-12-11 20:03:47 +01:00

90 lines
2.4 KiB
Nix

{
lib,
buildPythonPackage,
fetchPypi,
isPyPy,
blas,
lapack,
setuptools-scm,
suitesparse,
unittestCheckHook,
glpk ? null,
gsl ? null,
fftw ? null,
withGlpk ? true,
withGsl ? true,
withFftw ? true,
}:
assert (!blas.isILP64) && (!lapack.isILP64);
buildPythonPackage rec {
pname = "cvxopt";
version = "1.3.2";
format = "setuptools";
disabled = isPyPy; # hangs at [translation:info]
src = fetchPypi {
inherit pname version;
hash = "sha256-NGH6QsGyJAuk2h2YXKc1A5FBV/xMd0FzJ+1tfYWs2+Y=";
};
buildInputs = [
blas
lapack
];
build-system = [ setuptools-scm ];
# similar to Gsl, glpk, fftw there is also a dsdp interface
# but dsdp is not yet packaged in nixpkgs
env = {
CVXOPT_BLAS_LIB = "blas";
CVXOPT_LAPACK_LIB = "lapack";
CVXOPT_BUILD_DSDP = "0";
CVXOPT_SUITESPARSE_LIB_DIR = "${lib.getLib suitesparse}/lib";
CVXOPT_SUITESPARSE_INC_DIR = "${lib.getDev suitesparse}/include";
SETUPTOOLS_SCM_PRETEND_VERSION = version;
}
// lib.optionalAttrs withGsl {
CVXOPT_BUILD_GSL = "1";
CVXOPT_GSL_LIB_DIR = "${lib.getLib gsl}/lib";
CVXOPT_GSL_INC_DIR = "${lib.getDev gsl}/include";
}
// lib.optionalAttrs withGlpk {
CVXOPT_BUILD_GLPK = "1";
CVXOPT_GLPK_LIB_DIR = "${lib.getLib glpk}/lib";
CVXOPT_GLPK_INC_DIR = "${lib.getDev glpk}/include";
}
// lib.optionalAttrs withFftw {
CVXOPT_BUILD_FFTW = "1";
CVXOPT_FFTW_LIB_DIR = "${lib.getLib fftw}/lib";
CVXOPT_FFTW_INC_DIR = "${lib.getDev fftw}/include";
};
nativeCheckInputs = [ unittestCheckHook ];
unittestFlagsArray = [
"-s"
"tests"
];
meta = {
homepage = "https://cvxopt.org/";
description = "Python Software for Convex Optimization";
longDescription = ''
CVXOPT is a free software package for convex optimization based on the
Python programming language. It can be used with the interactive
Python interpreter, on the command line by executing Python scripts,
or integrated in other software via Python extension modules. Its main
purpose is to make the development of software for convex optimization
applications straightforward by building on Python's extensive
standard library and on the strengths of Python as a high-level
programming language.
'';
maintainers = with lib.maintainers; [ edwtjo ];
license = lib.licenses.gpl3Plus;
};
}