depot/third_party/nixpkgs/pkgs/development/python-modules/cvxopt/default.nix
Default email 5ca88bfbb9 Project import generated by Copybara.
GitOrigin-RevId: 9f918d616c5321ad374ae6cb5ea89c9e04bf3e58
2024-07-31 10:19:44 +00:00

86 lines
2.3 KiB
Nix

{
lib,
buildPythonPackage,
fetchPypi,
isPyPy,
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;
};
}