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author | Marius Bakke <mbakke@fastmail.com> | 2018-10-17 20:47:11 +0200 |
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committer | Marius Bakke <mbakke@fastmail.com> | 2018-10-17 20:47:11 +0200 |
commit | d02bb02f7d833ad371c53c346b6cb77f01377cf4 (patch) | |
tree | 9506f04a7fde2f3b264ba1d2a9012085e1f72b72 /gnu/packages/maths.scm | |
parent | fb3ff265cd8c6b4c6160f94240dc8932097e637b (diff) | |
parent | acce0a474c1493ab18912bc46285248e4ccb0314 (diff) | |
download | guix-d02bb02f7d833ad371c53c346b6cb77f01377cf4.tar guix-d02bb02f7d833ad371c53c346b6cb77f01377cf4.tar.gz |
Merge branch 'master' into core-updates
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 36a869f488..0df197c659 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") |