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| author | Ricardo Wurmus <rekado@elephly.net> | 2018-10-11 10:30:00 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2018-10-11 10:30:30 +0200 |
| commit | a8fa86c47781e3e5f6cb58468446ede59b3ba3f4 (patch) | |
| tree | 06534cc02370169b050213fb04d525e6d6038066 /gnu/packages/maths.scm | |
| parent | 2faf2edf5880a47d70b716b1780465eb1671c855 (diff) | |
| download | gnu-guix-a8fa86c47781e3e5f6cb58468446ede59b3ba3f4.tar gnu-guix-a8fa86c47781e3e5f6cb58468446ede59b3ba3f4.tar.gz | |
gnu: Add python-cvxopt.
* gnu/packages/maths.scm (python-cvxopt, python2-cvxopt): New variables.
Diffstat (limited to 'gnu/packages/maths.scm')
| -rw-r--r-- | gnu/packages/maths.scm | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/gnu/packages/maths.scm b/gnu/packages/maths.scm index 766c6e920f..d4128f55c4 100644 --- a/gnu/packages/maths.scm +++ b/gnu/packages/maths.scm @@ -239,6 +239,50 @@ triangulations.") (license (license:non-copyleft "file://COPYING.txt" "See COPYING in the distribution.")))) +(define-public python-cvxopt + (package + (name "python-cvxopt") + (version "1.2.1") + (source (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/cvxopt/cvxopt.git") + (commit version))) + (file-name (git-file-name name version)) + (sha256 + (base32 + "05mnjil9palaa48xafdfh4f5pr4z7aqjr995rwl08qfyxs8y0crf")))) + (build-system python-build-system) + (arguments + `(#:phases + (modify-phases %standard-phases + (add-after 'unpack 'find-libraries + (lambda* (#:key inputs #:allow-other-keys) + (setenv "CVXOPT_BLAS_LIB" "openblas") + (setenv "CVXOPT_BUILD_FFTW" "1") + (setenv "CVXOPT_BUILD_GLPK" "1") + (setenv "CVXOPT_BUILD_GSL" "1") + #t))))) + (inputs + `(("fftw" ,fftw) + ("glpk" ,glpk) + ("gsl" ,gsl) + ("lapack" ,lapack) + ("openblas" ,openblas) + ("suitesparse" ,suitesparse))) + (home-page "https://www.cvxopt.org") + (synopsis "Python library for convex optimization") + (description + "CVXOPT is a package for convex optimization based on the Python +programming language. 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.") + (license license:gpl3+))) + +(define-public python2-cvxopt + (package-with-python2 python-cvxopt)) + (define-public units (package (name "units") |