automatic import of python-onnxconverter-common

3 files changed, 153 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/onnxconverter-common-1.13.0.tar.gz
diff --git a/python-onnxconverter-common.spec b/python-onnxconverter-common.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-onnxconverter-common
+Version:	1.13.0
+Release:	1
+Summary:	ONNX Converter and Optimization Tools
+License:	MIT License
+URL:		https://github.com/microsoft/onnxconverter-common
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/ec/44/54c6b7f1a28d919a15caf642113fb44651087d1bb0658f028c54b93df8e3/onnxconverter-common-1.13.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-onnx
+Requires:	python3-packaging
+Requires:	python3-protobuf
+
+%description
+| Linux | Windows |
+|-------|---------|
+| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/linux-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=689&branchName=master)| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/common-win32-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=690&branchName=master)|
+
+# Introduction
+The onnxconverter-common package provides common functions and utilities for use in converters from various AI frameworks to ONNX. It also enables the different converters to work together to convert a model from mixed frameworks, like a scikit-learn pipeline embedding a xgboost model.
+
+# License
+[MIT License](LICENSE)
+
+# Contributing
+
+This project welcomes contributions and suggestions.  Most contributions require you to agree to a
+Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
+the rights to use your contribution. For details, visit https://cla.microsoft.com.
+
+When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
+a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
+provided by the bot. You will only need to do this once across all repos using our CLA.
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
+contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
+
+
+
+
+%package -n python3-onnxconverter-common
+Summary:	ONNX Converter and Optimization Tools
+Provides:	python-onnxconverter-common
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-onnxconverter-common
+| Linux | Windows |
+|-------|---------|
+| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/linux-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=689&branchName=master)| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/common-win32-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=690&branchName=master)|
+
+# Introduction
+The onnxconverter-common package provides common functions and utilities for use in converters from various AI frameworks to ONNX. It also enables the different converters to work together to convert a model from mixed frameworks, like a scikit-learn pipeline embedding a xgboost model.
+
+# License
+[MIT License](LICENSE)
+
+# Contributing
+
+This project welcomes contributions and suggestions.  Most contributions require you to agree to a
+Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
+the rights to use your contribution. For details, visit https://cla.microsoft.com.
+
+When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
+a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
+provided by the bot. You will only need to do this once across all repos using our CLA.
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
+contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
+
+
+
+
+%package help
+Summary:	Development documents and examples for onnxconverter-common
+Provides:	python3-onnxconverter-common-doc
+%description help
+| Linux | Windows |
+|-------|---------|
+| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/linux-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=689&branchName=master)| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/common-win32-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=690&branchName=master)|
+
+# Introduction
+The onnxconverter-common package provides common functions and utilities for use in converters from various AI frameworks to ONNX. It also enables the different converters to work together to convert a model from mixed frameworks, like a scikit-learn pipeline embedding a xgboost model.
+
+# License
+[MIT License](LICENSE)
+
+# Contributing
+
+This project welcomes contributions and suggestions.  Most contributions require you to agree to a
+Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
+the rights to use your contribution. For details, visit https://cla.microsoft.com.
+
+When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
+a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
+provided by the bot. You will only need to do this once across all repos using our CLA.
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
+contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
+
+
+
+
+%prep
+%autosetup -n onnxconverter-common-1.13.0
+
+%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-onnxconverter-common -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.13.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..ace4ea2
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+d2b4fe7c594c8a370a39ccf0983a3085  onnxconverter-common-1.13.0.tar.gz