automatic import of python-skl2onnx

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+/skl2onnx-1.14.0.tar.gz
diff --git a/python-skl2onnx.spec b/python-skl2onnx.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-skl2onnx
+Version:	1.14.0
+Release:	1
+Summary:	Convert scikit-learn models to ONNX
+License:	Apache License v2.0
+URL:		https://github.com/onnx/sklearn-onnx
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/e4/3b/5ef1025362a0408916e5a625a3d876f1b9004318c8cc4d6b9963f65e4822/skl2onnx-1.14.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-onnx
+Requires:	python3-scikit-learn
+Requires:	python3-onnxconverter-common
+
+%description
+## Introduction
+*sklearn-onnx* converts [scikit-learn](https://scikit-learn.org/stable/) models to [ONNX](https://github.com/onnx/onnx).
+Once in the ONNX format, you can use tools like [ONNX Runtime](https://github.com/Microsoft/onnxruntime) for high performance scoring.
+All converters are tested with [onnxruntime](https://onnxruntime.ai/).
+
+## Documentation
+Full documentation including tutorials is available at [https://onnx.ai/sklearn-onnx/](https://onnx.ai/sklearn-onnx/).
+[Supported scikit-learn Models](https://onnx.ai/sklearn-onnx/supported.html)
+Last supported opset is 15.
+
+You may also find answers in [existing issues](https://github.com/onnx/sklearn-onnx/issues?utf8=%E2%9C%93&q=is%3Aissue)
+or submit a new one.
+
+## Installation
+You can install from [PyPi](https://pypi.org/project/skl2onnx/):
+```
+pip install skl2onnx
+```
+Or you can install from the source with the latest changes.
+```
+pip install git+https://github.com/onnx/sklearn-onnx.git
+```
+
+## Contribute
+We welcome contributions in the form of feedback, ideas, or code.
+
+## License
+[Apache License v2.0](LICENSE)
+
+
+%package -n python3-skl2onnx
+Summary:	Convert scikit-learn models to ONNX
+Provides:	python-skl2onnx
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-skl2onnx
+## Introduction
+*sklearn-onnx* converts [scikit-learn](https://scikit-learn.org/stable/) models to [ONNX](https://github.com/onnx/onnx).
+Once in the ONNX format, you can use tools like [ONNX Runtime](https://github.com/Microsoft/onnxruntime) for high performance scoring.
+All converters are tested with [onnxruntime](https://onnxruntime.ai/).
+
+## Documentation
+Full documentation including tutorials is available at [https://onnx.ai/sklearn-onnx/](https://onnx.ai/sklearn-onnx/).
+[Supported scikit-learn Models](https://onnx.ai/sklearn-onnx/supported.html)
+Last supported opset is 15.
+
+You may also find answers in [existing issues](https://github.com/onnx/sklearn-onnx/issues?utf8=%E2%9C%93&q=is%3Aissue)
+or submit a new one.
+
+## Installation
+You can install from [PyPi](https://pypi.org/project/skl2onnx/):
+```
+pip install skl2onnx
+```
+Or you can install from the source with the latest changes.
+```
+pip install git+https://github.com/onnx/sklearn-onnx.git
+```
+
+## Contribute
+We welcome contributions in the form of feedback, ideas, or code.
+
+## License
+[Apache License v2.0](LICENSE)
+
+
+%package help
+Summary:	Development documents and examples for skl2onnx
+Provides:	python3-skl2onnx-doc
+%description help
+## Introduction
+*sklearn-onnx* converts [scikit-learn](https://scikit-learn.org/stable/) models to [ONNX](https://github.com/onnx/onnx).
+Once in the ONNX format, you can use tools like [ONNX Runtime](https://github.com/Microsoft/onnxruntime) for high performance scoring.
+All converters are tested with [onnxruntime](https://onnxruntime.ai/).
+
+## Documentation
+Full documentation including tutorials is available at [https://onnx.ai/sklearn-onnx/](https://onnx.ai/sklearn-onnx/).
+[Supported scikit-learn Models](https://onnx.ai/sklearn-onnx/supported.html)
+Last supported opset is 15.
+
+You may also find answers in [existing issues](https://github.com/onnx/sklearn-onnx/issues?utf8=%E2%9C%93&q=is%3Aissue)
+or submit a new one.
+
+## Installation
+You can install from [PyPi](https://pypi.org/project/skl2onnx/):
+```
+pip install skl2onnx
+```
+Or you can install from the source with the latest changes.
+```
+pip install git+https://github.com/onnx/sklearn-onnx.git
+```
+
+## Contribute
+We welcome contributions in the form of feedback, ideas, or code.
+
+## License
+[Apache License v2.0](LICENSE)
+
+
+%prep
+%autosetup -n skl2onnx-1.14.0
+
+%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-skl2onnx -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.14.0-1
+- Package Spec generated
diff --git a/sources b/sources
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+ed61eea698b5ceeb9f5591726afeef59  skl2onnx-1.14.0.tar.gz