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Nix
at master
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990{ 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; };}