guix_mirror_bot pushed a commit to branch master in repository guix. commit 3231ea50de83fad0d65ae9afbcd2994a33417b2a Author: Sharlatan Hellseher <sharlata...@gmail.com> AuthorDate: Wed Aug 20 09:59:02 2025 +0100
gnu: python-scikit-optimize: Improve package style. * gnu/packages/python-science.scm (python-scikit-optimize): Improve package style. [description]: Fix fill-column indentation. Change-Id: I184dab626c269cb6a85f48810dc147d627e4dc6c --- gnu/packages/python-science.scm | 33 ++++++++++++++++++--------------- 1 file changed, 18 insertions(+), 15 deletions(-) diff --git a/gnu/packages/python-science.scm b/gnu/packages/python-science.scm index f35795f922..c6370f98a8 100644 --- a/gnu/packages/python-science.scm +++ b/gnu/packages/python-science.scm @@ -2923,16 +2923,20 @@ swarm algorithm.") (package (name "python-scikit-optimize") (version "0.10.2") - (source (origin - (method git-fetch) - (uri (git-reference - (url "https://github.com/holgern/scikit-optimize") - (commit (string-append "v" version)))) - (file-name (git-file-name name version)) - (sha256 - (base32 - "0pc6avzxz8l32km5jvv3maih0a5x2akxybvxl2hdg04qz2l0kz8b")))) + (source + (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/holgern/scikit-optimize") + (commit (string-append "v" version)))) + (file-name (git-file-name name version)) + (sha256 + (base32 "0pc6avzxz8l32km5jvv3maih0a5x2akxybvxl2hdg04qz2l0kz8b")))) (build-system pyproject-build-system) + (native-inputs + (list python-pytest + python-setuptools + python-wheel)) (propagated-inputs (list python-joblib python-matplotlib @@ -2940,14 +2944,13 @@ swarm algorithm.") python-pyaml python-scikit-learn python-scipy)) - (native-inputs - (list python-pytest python-setuptools python-wheel)) (home-page "https://scikit-optimize.github.io/") (synopsis "Sequential model-based optimization toolbox") - (description "Scikit-Optimize, or @code{skopt}, is a simple and efficient -library to minimize (very) expensive and noisy black-box functions. It -implements several methods for sequential model-based optimization. -@code{skopt} aims to be accessible and easy to use in many contexts.") + (description + "Scikit-Optimize, or @code{skopt}, is a simple and efficient library to +minimize (very) expensive and noisy black-box functions. It implements +several methods for sequential model-based optimization. @code{skopt} aims to +be accessible and easy to use in many contexts.") (license license:bsd-3))) (define-public python-scikit-surprise