70 lines
2.2 KiB
Nix
70 lines
2.2 KiB
Nix
{ stdenv
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, lib
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, buildPythonPackage
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, fetchPypi
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, isPyPy
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, python
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, openblasCompat # build segfaults with regular openblas
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, suitesparse
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, glpk ? null
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, gsl ? null
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, fftw ? null
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, withGlpk ? true
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, withGsl ? true
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, withFftw ? true
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}:
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buildPythonPackage rec {
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pname = "cvxopt";
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version = "1.2.3";
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disabled = isPyPy; # hangs at [translation:info]
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src = fetchPypi {
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inherit pname version;
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sha256 = "ea62a2a1b8e2db3a6ae44ac394f58e4620149af226c250c6f2b18739b48cfc21";
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};
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# similar to Gsl, glpk, fftw there is also a dsdp interface
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# but dsdp is not yet packaged in nixpkgs
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preConfigure = ''
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export CVXOPT_BLAS_LIB_DIR=${openblasCompat}/lib
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export CVXOPT_BLAS_LIB=openblas
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export CVXOPT_LAPACK_LIB=openblas
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export CVXOPT_SUITESPARSE_LIB_DIR=${suitesparse}/lib
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export CVXOPT_SUITESPARSE_INC_DIR=${suitesparse}/include
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'' + lib.optionalString withGsl ''
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export CVXOPT_BUILD_GSL=1
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export CVXOPT_GSL_LIB_DIR=${gsl}/lib
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export CVXOPT_GSL_INC_DIR=${gsl}/include
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'' + lib.optionalString withGlpk ''
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export CVXOPT_BUILD_GLPK=1
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export CVXOPT_GLPK_LIB_DIR=${glpk}/lib
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export CVXOPT_GLPK_INC_DIR=${glpk}/include
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'' + lib.optionalString withFftw ''
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export CVXOPT_BUILD_FFTW=1
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export CVXOPT_FFTW_LIB_DIR=${fftw}/lib
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export CVXOPT_FFTW_INC_DIR=${fftw.dev}/include
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'';
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checkPhase = ''
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${python.interpreter} -m unittest discover -s tests
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'';
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meta = with lib; {
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homepage = http://cvxopt.org/;
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description = "Python Software for Convex Optimization";
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longDescription = ''
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CVXOPT is a free software package for convex optimization based on the
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Python programming language. It can be used with the interactive
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Python interpreter, on the command line by executing Python scripts,
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or integrated in other software via Python extension modules. Its main
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purpose is to make the development of software for convex optimization
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applications straightforward by building on Python's extensive
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standard library and on the strengths of Python as a high-level
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programming language.
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'';
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maintainers = with maintainers; [ edwtjo ];
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license = licenses.gpl3Plus;
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};
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}
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