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authorTobias Geerinckx-Rice <me@tobias.gr>2022-08-14 02:00:00 +0200
committerTobias Geerinckx-Rice <me@tobias.gr>2022-08-14 02:00:00 +0200
commit5a9c2abf9ecd47f4481c68cc5e57a85c84313645 (patch)
treeb52e3e144fd415c180452e02ef4e830e3a8bb916 /gnu/packages/machine-learning.scm
parent078d880f8fa52a33064dc1eb323e6547e10e651d (diff)
downloadguix-5a9c2abf9ecd47f4481c68cc5e57a85c84313645.tar.gz
gnu: Remove ‘open source’ from package descriptions.
Also do some (trivial) editing where appropriate.

* gnu/packages/bioconductor.scm (r-anaquin, r-rcppnumerical)
[description]: Remove superfluous ‘open source’.
* gnu/packages/debian.scm (apt-mirror)[description]: Likewise.
Add @acronym{}.  Drop obscure Ubuntu for famous Trisquel.  Reorder.
* gnu/packages/documentation.scm (scrollkeeper)[description]:
Remove superfluous ‘open systems’.  Keep ‘Open Source’ in standard name.
* gnu/packages/engineering.scm (freecad, cura-engine)[description]:
Remove superfluous ‘open source’ and excessive puffery.
* gnu/packages/firmware.scm (make-opensbi-package)
[synopsis]: Remove ‘Open Source’.  Use @acronym{}.
[description]: Fix first sentence to follow guidelines.  Use @acronym{}.
* gnu/packages/game-development.scm (ioquake3, recastnavigation):
[description]: Remove ‘open source’.
* gnu/packages/graphics.scm (skia)[description]: Likewise.
* gnu/packages/lisp-xyz.scm (sbcl-s-sysdeps)[description]: Likewise.
* gnu/packages/machine-learning.scm (onnx)[description]: Likewise.
Use @acronym{}.
* gnu/packages/ocaml.scm (ocaml-cudf)[description]: Likewise.
Diffstat (limited to 'gnu/packages/machine-learning.scm')
-rw-r--r--gnu/packages/machine-learning.scm8
1 files changed, 4 insertions, 4 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index cd0640cd27..c61428486c 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -828,10 +828,10 @@ in terms of new algorithms.")
     (home-page "https://onnx.ai/")
     (synopsis "Open Neural Network Exchange")
     (description
-     "Open Neural Network Exchange (ONNX) provides an open source format for
-AI models, both deep learning and traditional ML.  It defines an extensible
-computation graph model, as well as definitions of built-in operators and
-standard data types.")
+     "@acronym{ONNX, Open Neural Network Exchange} is a format for AI models,
+both deep learning and traditional @acronym{ML, machine learning}.  It defines
+an extensible computation graph model, as well as definitions of built-in
+operators and standard data types.")
     (license license:expat)))
 
 (define-public python-onnx