automatic import of python-chainer

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diff --git a/.gitignore b/.gitignore
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+/chainer-7.8.1.tar.gz
diff --git a/python-chainer.spec b/python-chainer.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-chainer
+Version:	7.8.1
+Release:	1
+Summary:	A flexible framework of neural networks
+License:	MIT License
+URL:		https://chainer.org/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/86/40/0d27458c1ac3e1c8f1a62ab62e3ec9e443412fa51d1e638ac669706097b7/chainer-7.8.1.tar.gz
+BuildArch:	noarch
+
+
+%description
+<div align="center"><img src="https://raw.githubusercontent.com/chainer/chainer/master/docs/image/chainer_red_h.png" width="400"/></div>
+
+# Chainer: A deep learning framework
+
+[![pypi](https://img.shields.io/pypi/v/chainer.svg)](https://pypi.python.org/pypi/chainer)
+[![GitHub license](https://img.shields.io/github/license/chainer/chainer.svg)](https://github.com/chainer/chainer)
+[![travis](https://img.shields.io/travis/chainer/chainer/master.svg)](https://travis-ci.org/chainer/chainer)
+[![coveralls](https://img.shields.io/coveralls/chainer/chainer.svg)](https://coveralls.io/github/chainer/chainer)
+[![Read the Docs](https://readthedocs.org/projects/chainer/badge/?version=stable)](https://docs.chainer.org/en/stable/?badge=stable)
+[![Optuna](https://img.shields.io/badge/Optuna-integrated-blue)](https://optuna.org)
+
+[**Website**](https://chainer.org/)
+| [**Docs**](https://docs.chainer.org/en/stable/)
+| [**Install Guide**](https://docs.chainer.org/en/stable/install.html)
+| **Tutorials** ([ja](https://tutorials.chainer.org/ja/))
+| **Examples** ([Official](examples), [External](https://github.com/chainer-community/awesome-chainer))
+| [**Concepts**](https://docs.chainer.org/en/stable/guides/)
+| [**ChainerX**](#chainerx)
+
+**Forum** ([en](https://groups.google.com/forum/#!forum/chainer), [ja](https://groups.google.com/forum/#!forum/chainer-jp))
+| **Slack invitation** ([en](https://bit.ly/go-chainer-slack), [ja](https://bit.ly/go-chainer-jp-slack))
+| **Twitter** ([en](https://twitter.com/CuPy_Team), [ja](https://twitter.com/ChainerJP))
+
+*Chainer* is a Python-based deep learning framework aiming at flexibility.
+It provides automatic differentiation APIs based on the **define-by-run** approach (a.k.a. dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks.
+It also supports CUDA/cuDNN using [CuPy](https://github.com/cupy/cupy) for high performance training and inference.
+For more details about Chainer, see the documents and resources listed above and join the community in Forum, Slack, and Twitter.
+
+***Notice: As [announced](https://chainer.org/announcement/2019/12/05/released-v7.html), Chainer is under the maintenance phase and further development will be limited to bug-fixes and maintenance only.***
+
+## Installation
+
+*For more details, see the [installation guide](https://docs.chainer.org/en/stable/install.html).*
+
+To install Chainer, use `pip`.
+
+```sh
+$ pip install chainer
+```
+
+To enable CUDA support, [CuPy](https://github.com/cupy/cupy) is required.
+Refer to the [CuPy installation guide](https://docs-cupy.chainer.org/en/stable/install.html).
+
+
+## Docker image
+
+We are providing the official Docker image.
+This image supports [nvidia-docker](https://github.com/NVIDIA/nvidia-docker).
+Login to the environment with the following command, and run the Python interpreter to use Chainer with CUDA and cuDNN support.
+
+```
+$ nvidia-docker run -it chainer/chainer /bin/bash
+```
+
+
+## Contribution
+
+See the [contribution guide](https://docs.chainer.org/en/stable/contribution.html).
+
+
+## ChainerX
+
+See the [ChainerX documentation](https://docs.chainer.org/en/stable/chainerx/index.html).
+
+
+## License
+
+MIT License (see `LICENSE` file).
+
+
+## More information
+
+- [Release notes](https://github.com/chainer/chainer/releases)
+
+## References
+
+Tokui, Seiya, et al. "Chainer: A Deep Learning Framework for Accelerating the Research Cycle." *Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining*. ACM, 2019.
+[URL](https://dl.acm.org/citation.cfm?id=3330756) [BibTex](chainer2019_bibtex.txt)
+
+Tokui, S., Oono, K., Hido, S. and Clayton, J.,
+Chainer: a Next-Generation Open Source Framework for Deep Learning,
+*Proceedings of Workshop on Machine Learning Systems(LearningSys) in
+The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS)*, (2015)
+[URL](http://learningsys.org/papers/LearningSys_2015_paper_33.pdf), [BibTex](chainer_bibtex.txt)
+
+Akiba, T., Fukuda, K. and Suzuki, S.,
+ChainerMN: Scalable Distributed Deep Learning Framework,
+*Proceedings of Workshop on ML Systems in
+The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS)*, (2017)
+[URL](http://learningsys.org/nips17/assets/papers/paper_25.pdf), [BibTex](chainermn_bibtex.txt)
+
+
+
+
+%package -n python3-chainer
+Summary:	A flexible framework of neural networks
+Provides:	python-chainer
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-chainer
+<div align="center"><img src="https://raw.githubusercontent.com/chainer/chainer/master/docs/image/chainer_red_h.png" width="400"/></div>
+
+# Chainer: A deep learning framework
+
+[![pypi](https://img.shields.io/pypi/v/chainer.svg)](https://pypi.python.org/pypi/chainer)
+[![GitHub license](https://img.shields.io/github/license/chainer/chainer.svg)](https://github.com/chainer/chainer)
+[![travis](https://img.shields.io/travis/chainer/chainer/master.svg)](https://travis-ci.org/chainer/chainer)
+[![coveralls](https://img.shields.io/coveralls/chainer/chainer.svg)](https://coveralls.io/github/chainer/chainer)
+[![Read the Docs](https://readthedocs.org/projects/chainer/badge/?version=stable)](https://docs.chainer.org/en/stable/?badge=stable)
+[![Optuna](https://img.shields.io/badge/Optuna-integrated-blue)](https://optuna.org)
+
+[**Website**](https://chainer.org/)
+| [**Docs**](https://docs.chainer.org/en/stable/)
+| [**Install Guide**](https://docs.chainer.org/en/stable/install.html)
+| **Tutorials** ([ja](https://tutorials.chainer.org/ja/))
+| **Examples** ([Official](examples), [External](https://github.com/chainer-community/awesome-chainer))
+| [**Concepts**](https://docs.chainer.org/en/stable/guides/)
+| [**ChainerX**](#chainerx)
+
+**Forum** ([en](https://groups.google.com/forum/#!forum/chainer), [ja](https://groups.google.com/forum/#!forum/chainer-jp))
+| **Slack invitation** ([en](https://bit.ly/go-chainer-slack), [ja](https://bit.ly/go-chainer-jp-slack))
+| **Twitter** ([en](https://twitter.com/CuPy_Team), [ja](https://twitter.com/ChainerJP))
+
+*Chainer* is a Python-based deep learning framework aiming at flexibility.
+It provides automatic differentiation APIs based on the **define-by-run** approach (a.k.a. dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks.
+It also supports CUDA/cuDNN using [CuPy](https://github.com/cupy/cupy) for high performance training and inference.
+For more details about Chainer, see the documents and resources listed above and join the community in Forum, Slack, and Twitter.
+
+***Notice: As [announced](https://chainer.org/announcement/2019/12/05/released-v7.html), Chainer is under the maintenance phase and further development will be limited to bug-fixes and maintenance only.***
+
+## Installation
+
+*For more details, see the [installation guide](https://docs.chainer.org/en/stable/install.html).*
+
+To install Chainer, use `pip`.
+
+```sh
+$ pip install chainer
+```
+
+To enable CUDA support, [CuPy](https://github.com/cupy/cupy) is required.
+Refer to the [CuPy installation guide](https://docs-cupy.chainer.org/en/stable/install.html).
+
+
+## Docker image
+
+We are providing the official Docker image.
+This image supports [nvidia-docker](https://github.com/NVIDIA/nvidia-docker).
+Login to the environment with the following command, and run the Python interpreter to use Chainer with CUDA and cuDNN support.
+
+```
+$ nvidia-docker run -it chainer/chainer /bin/bash
+```
+
+
+## Contribution
+
+See the [contribution guide](https://docs.chainer.org/en/stable/contribution.html).
+
+
+## ChainerX
+
+See the [ChainerX documentation](https://docs.chainer.org/en/stable/chainerx/index.html).
+
+
+## License
+
+MIT License (see `LICENSE` file).
+
+
+## More information
+
+- [Release notes](https://github.com/chainer/chainer/releases)
+
+## References
+
+Tokui, Seiya, et al. "Chainer: A Deep Learning Framework for Accelerating the Research Cycle." *Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining*. ACM, 2019.
+[URL](https://dl.acm.org/citation.cfm?id=3330756) [BibTex](chainer2019_bibtex.txt)
+
+Tokui, S., Oono, K., Hido, S. and Clayton, J.,
+Chainer: a Next-Generation Open Source Framework for Deep Learning,
+*Proceedings of Workshop on Machine Learning Systems(LearningSys) in
+The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS)*, (2015)
+[URL](http://learningsys.org/papers/LearningSys_2015_paper_33.pdf), [BibTex](chainer_bibtex.txt)
+
+Akiba, T., Fukuda, K. and Suzuki, S.,
+ChainerMN: Scalable Distributed Deep Learning Framework,
+*Proceedings of Workshop on ML Systems in
+The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS)*, (2017)
+[URL](http://learningsys.org/nips17/assets/papers/paper_25.pdf), [BibTex](chainermn_bibtex.txt)
+
+
+
+
+%package help
+Summary:	Development documents and examples for chainer
+Provides:	python3-chainer-doc
+%description help
+<div align="center"><img src="https://raw.githubusercontent.com/chainer/chainer/master/docs/image/chainer_red_h.png" width="400"/></div>
+
+# Chainer: A deep learning framework
+
+[![pypi](https://img.shields.io/pypi/v/chainer.svg)](https://pypi.python.org/pypi/chainer)
+[![GitHub license](https://img.shields.io/github/license/chainer/chainer.svg)](https://github.com/chainer/chainer)
+[![travis](https://img.shields.io/travis/chainer/chainer/master.svg)](https://travis-ci.org/chainer/chainer)
+[![coveralls](https://img.shields.io/coveralls/chainer/chainer.svg)](https://coveralls.io/github/chainer/chainer)
+[![Read the Docs](https://readthedocs.org/projects/chainer/badge/?version=stable)](https://docs.chainer.org/en/stable/?badge=stable)
+[![Optuna](https://img.shields.io/badge/Optuna-integrated-blue)](https://optuna.org)
+
+[**Website**](https://chainer.org/)
+| [**Docs**](https://docs.chainer.org/en/stable/)
+| [**Install Guide**](https://docs.chainer.org/en/stable/install.html)
+| **Tutorials** ([ja](https://tutorials.chainer.org/ja/))
+| **Examples** ([Official](examples), [External](https://github.com/chainer-community/awesome-chainer))
+| [**Concepts**](https://docs.chainer.org/en/stable/guides/)
+| [**ChainerX**](#chainerx)
+
+**Forum** ([en](https://groups.google.com/forum/#!forum/chainer), [ja](https://groups.google.com/forum/#!forum/chainer-jp))
+| **Slack invitation** ([en](https://bit.ly/go-chainer-slack), [ja](https://bit.ly/go-chainer-jp-slack))
+| **Twitter** ([en](https://twitter.com/CuPy_Team), [ja](https://twitter.com/ChainerJP))
+
+*Chainer* is a Python-based deep learning framework aiming at flexibility.
+It provides automatic differentiation APIs based on the **define-by-run** approach (a.k.a. dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks.
+It also supports CUDA/cuDNN using [CuPy](https://github.com/cupy/cupy) for high performance training and inference.
+For more details about Chainer, see the documents and resources listed above and join the community in Forum, Slack, and Twitter.
+
+***Notice: As [announced](https://chainer.org/announcement/2019/12/05/released-v7.html), Chainer is under the maintenance phase and further development will be limited to bug-fixes and maintenance only.***
+
+## Installation
+
+*For more details, see the [installation guide](https://docs.chainer.org/en/stable/install.html).*
+
+To install Chainer, use `pip`.
+
+```sh
+$ pip install chainer
+```
+
+To enable CUDA support, [CuPy](https://github.com/cupy/cupy) is required.
+Refer to the [CuPy installation guide](https://docs-cupy.chainer.org/en/stable/install.html).
+
+
+## Docker image
+
+We are providing the official Docker image.
+This image supports [nvidia-docker](https://github.com/NVIDIA/nvidia-docker).
+Login to the environment with the following command, and run the Python interpreter to use Chainer with CUDA and cuDNN support.
+
+```
+$ nvidia-docker run -it chainer/chainer /bin/bash
+```
+
+
+## Contribution
+
+See the [contribution guide](https://docs.chainer.org/en/stable/contribution.html).
+
+
+## ChainerX
+
+See the [ChainerX documentation](https://docs.chainer.org/en/stable/chainerx/index.html).
+
+
+## License
+
+MIT License (see `LICENSE` file).
+
+
+## More information
+
+- [Release notes](https://github.com/chainer/chainer/releases)
+
+## References
+
+Tokui, Seiya, et al. "Chainer: A Deep Learning Framework for Accelerating the Research Cycle." *Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining*. ACM, 2019.
+[URL](https://dl.acm.org/citation.cfm?id=3330756) [BibTex](chainer2019_bibtex.txt)
+
+Tokui, S., Oono, K., Hido, S. and Clayton, J.,
+Chainer: a Next-Generation Open Source Framework for Deep Learning,
+*Proceedings of Workshop on Machine Learning Systems(LearningSys) in
+The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS)*, (2015)
+[URL](http://learningsys.org/papers/LearningSys_2015_paper_33.pdf), [BibTex](chainer_bibtex.txt)
+
+Akiba, T., Fukuda, K. and Suzuki, S.,
+ChainerMN: Scalable Distributed Deep Learning Framework,
+*Proceedings of Workshop on ML Systems in
+The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS)*, (2017)
+[URL](http://learningsys.org/nips17/assets/papers/paper_25.pdf), [BibTex](chainermn_bibtex.txt)
+
+
+
+
+%prep
+%autosetup -n chainer-7.8.1
+
+%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-chainer -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 7.8.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..2e7c4fd
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+759cac1eeadcfdcaa1a73e59dd981867  chainer-7.8.1.tar.gz