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gnu: python-scikit-optimize: Improve package style.

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* gnu/packages/python-science.scm (python-scikit-optimize): Improve
package style.
[description]: Fix fill-column indentation.

Change-Id: I184dab626c269cb6a85f48810dc147d627e4dc6c
This commit is contained in:
Sharlatan Hellseher 2025-08-20 09:59:02 +01:00
parent 7556a29735
commit 3231ea50de
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1 changed files with 18 additions and 15 deletions
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33
gnu/packages/python-science.scm
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@ -2923,16 +2923,20 @@ swarm algorithm.")
(package (package
(name "python-scikit-optimize") (name "python-scikit-optimize")
(version "0.10.2") (version "0.10.2")
(source (origin (source
(method git-fetch) (origin
(uri (git-reference (method git-fetch)
(url "https://github.com/holgern/scikit-optimize") (uri (git-reference
(commit (string-append "v" version)))) (url "https://github.com/holgern/scikit-optimize")
(file-name (git-file-name name version)) (commit (string-append "v" version))))
(sha256 (file-name (git-file-name name version))
(base32 (sha256
"0pc6avzxz8l32km5jvv3maih0a5x2akxybvxl2hdg04qz2l0kz8b")))) (base32 "0pc6avzxz8l32km5jvv3maih0a5x2akxybvxl2hdg04qz2l0kz8b"))))
(build-system pyproject-build-system) (build-system pyproject-build-system)
(native-inputs
(list python-pytest
python-setuptools
python-wheel))
(propagated-inputs (propagated-inputs
(list python-joblib (list python-joblib
python-matplotlib python-matplotlib
@ -2940,14 +2944,13 @@ swarm algorithm.")
python-pyaml python-pyaml
python-scikit-learn python-scikit-learn
python-scipy)) python-scipy))
(native-inputs
(list python-pytest python-setuptools python-wheel))
(home-page "https://scikit-optimize.github.io/") (home-page "https://scikit-optimize.github.io/")
(synopsis "Sequential model-based optimization toolbox") (synopsis "Sequential model-based optimization toolbox")
(description "Scikit-Optimize, or @code{skopt}, is a simple and efficient (description
library to minimize (very) expensive and noisy black-box functions. It "Scikit-Optimize, or @code{skopt}, is a simple and efficient library to
implements several methods for sequential model-based optimization. minimize (very) expensive and noisy black-box functions. It implements
@code{skopt} aims to be accessible and easy to use in many contexts.") several methods for sequential model-based optimization. @code{skopt} aims to
be accessible and easy to use in many contexts.")
(license license:bsd-3))) (license license:bsd-3)))
(define-public python-scikit-surprise (define-public python-scikit-surprise