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Merge pull request #38780 from timokau/cvxopt-1.1.9

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cvxopt: 1.1.7 -> 1.1.9, add optional extensions
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Frederik Rietdijk 2018-04-14 17:49:27 +02:00 committed by GitHub
parent 089eefe724 156e910b6d
commit 5a3495f5fb
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2 changed files with 70 additions and 23 deletions
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69
pkgs/development/python-modules/cvxopt/default.nix Normal file
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@ -0,0 +1,69 @@
{ lib
, buildPythonPackage
, fetchPypi
, isPyPy
, python
, openblasCompat # build segfaults with regular openblas
, suitesparse
, glpk ? null
, gsl ? null
, fftw ? null
, withGlpk ? true
, withGsl ? true
, withFftw ? true
}:
buildPythonPackage rec {
pname = "cvxopt";
version = "1.1.9";
disabled = isPyPy; # hangs at [translation:info]
src = fetchPypi {
inherit pname version;
sha256 = "0gcqq8ymjxv8qa5ss2pdhsj5bahvdxa6h2rlpp51520mjxrpw5cg";
};
# similar to Gsl, glpk, fftw there is also a dsdp interface
# but dsdp is not yet packaged in nixpkgs
preConfigure = ''
export CVXOPT_BLAS_LIB_DIR=${openblasCompat}/lib
export CVXOPT_BLAS_LIB=openblas
export CVXOPT_LAPACK_LIB=openblas
export CVXOPT_SUITESPARSE_LIB_DIR=${suitesparse}/lib
export CVXOPT_SUITESPARSE_INC_DIR=${suitesparse}/include
'' + lib.optionalString withGsl ''
export CVXOPT_BUILD_GSL=1
export CVXOPT_GSL_LIB_DIR=${gsl}/lib
export CVXOPT_GSL_INC_DIR=${gsl}/include
'' + lib.optionalString withGlpk ''
export CVXOPT_BUILD_GLPK=1
export CVXOPT_GLPK_LIB_DIR=${glpk}/lib
export CVXOPT_GLPK_INC_DIR=${glpk}/include
'' + lib.optionalString withFftw ''
export CVXOPT_BUILD_FFTW=1
export CVXOPT_FFTW_LIB_DIR=${fftw}/lib
export CVXOPT_FFTW_INC_DIR=${fftw.dev}/include
'';
checkPhase = ''
${python.interpreter} -m unittest discover -s tests
'';
meta = {
homepage = http://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;
};
}

24
pkgs/top-level/python-packages.nix
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@ -1179,29 +1179,7 @@ in {
cx_oracle = callPackage ../development/python-modules/cx_oracle {};
cvxopt = buildPythonPackage rec {
name = "${pname}-${version}";
pname = "cvxopt";
version = "1.1.7";
disabled = isPyPy;
src = pkgs.fetchurl {
url = "mirror://pypi/c/${pname}/${name}.tar.gz";
sha256 = "f856ea2e9e2947abc1a6557625cc6b0e45228984f397a90c420b2f468dc4cb97";
};
doCheck = false;
buildInputs = with pkgs; [ openblasCompat ];
preConfigure = ''
export CVXOPT_BLAS_LIB_DIR=${pkgs.openblasCompat}/lib
export CVXOPT_BLAS_LIB=openblas
export CVXOPT_LAPACK_LIB=openblas
'';
meta = {
homepage = "http://cvxopt.org/";
description = "Python Software for Convex Optimization";
maintainers = with maintainers; [ edwtjo ];
license = licenses.gpl3Plus;
};
};
cvxopt = callPackage ../development/python-modules/cvxopt { };
cycler = callPackage ../development/python-modules/cycler { };