depot/third_party/nixpkgs/pkgs/development/python-modules/cvxopt/default.nix
Default email f34ce41345 Project import generated by Copybara.
GitOrigin-RevId: b73c2221a46c13557b1b3be9c2070cc42cf01eb3
2024-07-27 08:49:29 +02:00

87 lines
2.3 KiB
Nix

{
lib,
buildPythonPackage,
fetchPypi,
isPyPy,
python,
blas,
lapack,
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
];
# 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";
}
// 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 = with lib; {
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 maintainers; [ edwtjo ];
license = licenses.gpl3Plus;
};
}