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%global _empty_manifest_terminate_build 0
Name:		python-chess-tuning-tools
Version:	0.9.3
Release:	1
Summary:	A collection of tools for local and distributed tuning of chess engines.
License:	Apache-2.0
URL:		https://github.com/kiudee/chess-tuning-tools
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/af/e8/d78c3d0e4123d3f3bea889001c0bdfff8f131b212f73dfae3edc509f382f/chess-tuning-tools-0.9.3.tar.gz
BuildArch:	noarch

Requires:	python3-bask
Requires:	python3-Click
Requires:	python3-numpy
Requires:	python3-scipy
Requires:	python3-scikit-optimize
Requires:	python3-atomicwrites
Requires:	python3-scikit-learn
Requires:	python3-dill
Requires:	python3-importlib_metadata
Requires:	python3-joblib
Requires:	python3-psycopg2
Requires:	python3-sqlalchemy
Requires:	python3-pandas
Requires:	python3-Sphinx
Requires:	python3-sphinx-book-theme
Requires:	python3-myst-nb

%description
* Optimization of chess engines using state-of-the-art `Bayesian optimization <https://github.com/kiudee/bayes-skopt>`_.
* Support for automatic visualization of the optimization landscape.
* Scoring matches using a Bayesian-pentanomial model for paired openings.

%package -n python3-chess-tuning-tools
Summary:	A collection of tools for local and distributed tuning of chess engines.
Provides:	python-chess-tuning-tools
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-chess-tuning-tools
* Optimization of chess engines using state-of-the-art `Bayesian optimization <https://github.com/kiudee/bayes-skopt>`_.
* Support for automatic visualization of the optimization landscape.
* Scoring matches using a Bayesian-pentanomial model for paired openings.

%package help
Summary:	Development documents and examples for chess-tuning-tools
Provides:	python3-chess-tuning-tools-doc
%description help
* Optimization of chess engines using state-of-the-art `Bayesian optimization <https://github.com/kiudee/bayes-skopt>`_.
* Support for automatic visualization of the optimization landscape.
* Scoring matches using a Bayesian-pentanomial model for paired openings.

%prep
%autosetup -n chess-tuning-tools-0.9.3

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-chess-tuning-tools -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.3-1
- Package Spec generated