automatic import of python-optunity

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diff --git a/.gitignore b/.gitignore
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+/Optunity-1.1.1.tar.gz
diff --git a/python-optunity.spec b/python-optunity.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-Optunity
+Version:	1.1.1
+Release:	1
+Summary:	Optimization routines for hyperparameter tuning.
+License:	LICENSE.txt
+URL:		http://www.optunity.net
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/32/4d/d49876a49e105b56755eb5ba06a4848ee8010f7ff9e0f11a13aefed12063/Optunity-1.1.1.tar.gz
+BuildArch:	noarch
+
+
+%description
+Optunity is a library containing various optimizers for hyperparameter tuning.
+Hyperparameter tuning is a recurrent problem in many machine learning tasks,
+both supervised and unsupervised. Tuning examples include optimizing 
+regularization or kernel parameters.
+From an optimization point of view, the tuning problem can be considered as 
+follows: the objective function is non-convex, non-differentiable and 
+typically expensive to evaluate.
+This package provides several distinct approaches to solve such problems including 
+some helpful facilities such as cross-validation and a plethora of score functions.
+The Optunity library is implemented in Python and allows straightforward
+integration in other machine learning environments, including R and MATLAB.
+If you have any comments, suggestions you can get in touch with us at gitter:
+To get started with Optunity on Linux, issue the following commands::
+    git clone https://github.com/claesenm/optunity.git
+    echo "export PYTHONPATH=$PYTHONPATH:$(pwd)/optunity" >> ~/.bashrc
+Afterwards, importing ``optunity`` should work in Python::
+    #!/usr/bin/env python
+    import optunity
+Optunity is developed at the STADIUS lab of the dept. of electrical engineering
+at KU Leuven (ESAT). Optunity is free software, using a BSD license.
+For more information, please refer to the following pages:
+http://www.optunity.net
+
+%package -n python3-Optunity
+Summary:	Optimization routines for hyperparameter tuning.
+Provides:	python-Optunity
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-Optunity
+Optunity is a library containing various optimizers for hyperparameter tuning.
+Hyperparameter tuning is a recurrent problem in many machine learning tasks,
+both supervised and unsupervised. Tuning examples include optimizing 
+regularization or kernel parameters.
+From an optimization point of view, the tuning problem can be considered as 
+follows: the objective function is non-convex, non-differentiable and 
+typically expensive to evaluate.
+This package provides several distinct approaches to solve such problems including 
+some helpful facilities such as cross-validation and a plethora of score functions.
+The Optunity library is implemented in Python and allows straightforward
+integration in other machine learning environments, including R and MATLAB.
+If you have any comments, suggestions you can get in touch with us at gitter:
+To get started with Optunity on Linux, issue the following commands::
+    git clone https://github.com/claesenm/optunity.git
+    echo "export PYTHONPATH=$PYTHONPATH:$(pwd)/optunity" >> ~/.bashrc
+Afterwards, importing ``optunity`` should work in Python::
+    #!/usr/bin/env python
+    import optunity
+Optunity is developed at the STADIUS lab of the dept. of electrical engineering
+at KU Leuven (ESAT). Optunity is free software, using a BSD license.
+For more information, please refer to the following pages:
+http://www.optunity.net
+
+%package help
+Summary:	Development documents and examples for Optunity
+Provides:	python3-Optunity-doc
+%description help
+Optunity is a library containing various optimizers for hyperparameter tuning.
+Hyperparameter tuning is a recurrent problem in many machine learning tasks,
+both supervised and unsupervised. Tuning examples include optimizing 
+regularization or kernel parameters.
+From an optimization point of view, the tuning problem can be considered as 
+follows: the objective function is non-convex, non-differentiable and 
+typically expensive to evaluate.
+This package provides several distinct approaches to solve such problems including 
+some helpful facilities such as cross-validation and a plethora of score functions.
+The Optunity library is implemented in Python and allows straightforward
+integration in other machine learning environments, including R and MATLAB.
+If you have any comments, suggestions you can get in touch with us at gitter:
+To get started with Optunity on Linux, issue the following commands::
+    git clone https://github.com/claesenm/optunity.git
+    echo "export PYTHONPATH=$PYTHONPATH:$(pwd)/optunity" >> ~/.bashrc
+Afterwards, importing ``optunity`` should work in Python::
+    #!/usr/bin/env python
+    import optunity
+Optunity is developed at the STADIUS lab of the dept. of electrical engineering
+at KU Leuven (ESAT). Optunity is free software, using a BSD license.
+For more information, please refer to the following pages:
+http://www.optunity.net
+
+%prep
+%autosetup -n Optunity-1.1.1
+
+%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-Optunity -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..eaf459e
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+1b4145a19d26116b3a21661a75435906  Optunity-1.1.1.tar.gz