automatic import of python-gpytorchopeneuler23.09

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diff --git a/python-gpytorch.spec b/python-gpytorch.spec
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+%global _empty_manifest_terminate_build 0
+
+Name:		python-gpytorch
+Version:	1.11
+Release:	1
+Summary:	A highly efficient implementation of Gaussian Processes in PyTorch
+License:	MIT
+URL:		https://github.com/cornellius-gp/gpytorch
+Source0:	https://github.com/cornellius-gp/gpytorch/archive/refs/tags/v%{version}.tar.gz#/%{name}-%{version}.tar.gz
+
+Requires:	python3-pytorch
+
+%description
+GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, 
+flexible, and modular Gaussian process models with ease.
+GPyTorch provides (1) significant GPU acceleration (through MVM based inference); 
+(2) state-of-the-art implementations of the latest algorithmic advances for scalability and flexibility 
+(3) easy integration with deep learning frameworks.
+
+
+%package -n python3-gpytorch
+Summary:	A highly efficient implementation of Gaussian Processes in PyTorch
+Provides:	python-gpytorch
+
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-setuptools_scm
+BuildRequires:	python3-pbr
+BuildRequires:	python3-pip
+BuildRequires:	python3-wheel
+
+%description -n python3-gpytorch
+GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, 
+flexible, and modular Gaussian process models with ease.
+GPyTorch provides (1) significant GPU acceleration (through MVM based inference); 
+(2) state-of-the-art implementations of the latest algorithmic advances for scalability and flexibility 
+(3) easy integration with deep learning frameworks.
+
+%package help
+Summary:	Development documents and examples for python-gpytorch
+Provides:	python3-gpytorch-doc
+
+%description help
+GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, 
+flexible, and modular Gaussian process models with ease.
+GPyTorch provides (1) significant GPU acceleration (through MVM based inference); 
+(2) state-of-the-art implementations of the latest algorithmic advances for scalability and flexibility 
+(3) easy integration with deep learning frameworks.
+
+%prep
+%autosetup -p1 -n gpytorch-%{version}
+
+%build
+export SETUPTOOLS_SCM_PRETEND_VERSION=%{version}
+%pyproject_build
+
+%install
+%pyproject_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+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}/doclist.lst .
+
+%files -n python3-gpytorch
+%doc *.md
+%license LICENSE
+%{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Sun Jan 28 2024 Binshuo Zu <274620705z@gmail.com> - 1.11-1
+- Package init