init package
Signed-off-by: Zhipeng Xie <xiezhipeng1@huawei.com>
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README.en.md
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# python-keras-rl2
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#### Description
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Deep Reinforcement Learning for Tensorflow 2 Keras
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#### Software Architecture
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Software architecture description
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#### Installation
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1. xxxx
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2. xxxx
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3. xxxx
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#### Instructions
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1. xxxx
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2. xxxx
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3. xxxx
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#### Contribution
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1. Fork the repository
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2. Create Feat_xxx branch
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3. Commit your code
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4. Create Pull Request
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#### Gitee Feature
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1. You can use Readme\_XXX.md to support different languages, such as Readme\_en.md, Readme\_zh.md
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2. Gitee blog [blog.gitee.com](https://blog.gitee.com)
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3. Explore open source project [https://gitee.com/explore](https://gitee.com/explore)
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4. The most valuable open source project [GVP](https://gitee.com/gvp)
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5. The manual of Gitee [https://gitee.com/help](https://gitee.com/help)
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6. The most popular members [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/)
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README.md
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# python-keras-rl2
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#### 介绍
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Deep Reinforcement Learning for Tensorflow 2 Keras
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#### 软件架构
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软件架构说明
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#### 安装教程
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1. xxxx
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2. xxxx
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3. xxxx
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#### 使用说明
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1. xxxx
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2. xxxx
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3. xxxx
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#### 参与贡献
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1. Fork 本仓库
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2. 新建 Feat_xxx 分支
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3. 提交代码
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4. 新建 Pull Request
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#### 特技
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1. 使用 Readme\_XXX.md 来支持不同的语言,例如 Readme\_en.md, Readme\_zh.md
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2. Gitee 官方博客 [blog.gitee.com](https://blog.gitee.com)
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3. 你可以 [https://gitee.com/explore](https://gitee.com/explore) 这个地址来了解 Gitee 上的优秀开源项目
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4. [GVP](https://gitee.com/gvp) 全称是 Gitee 最有价值开源项目,是综合评定出的优秀开源项目
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5. Gitee 官方提供的使用手册 [https://gitee.com/help](https://gitee.com/help)
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6. Gitee 封面人物是一档用来展示 Gitee 会员风采的栏目 [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/)
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BIN
keras_rl2-1.0.4-py3-none-any.whl
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BIN
keras_rl2-1.0.4-py3-none-any.whl
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Binary file not shown.
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python-keras-rl2.spec
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python-keras-rl2.spec
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%global _empty_manifest_terminate_build 0
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Name: python-keras-rl2
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Version: 1.0.4
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Release: 1
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Summary: Deep Reinforcement Learning for Tensorflow 2 Keras
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License: MIT
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URL: https://github.com/wau/keras-rl2
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Source0: https://files.pythonhosted.org/packages/dd/34/94ffeab44eef43e22a01d82aa0ca062a97392c2c2415ba8b210e72053285/keras_rl2-1.0.4-py3-none-any.whl
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BuildArch: noarch
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Requires: python3-tensorflow
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Requires: python3-gym
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%description
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keras-rl2 implements some state-of-the art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras.
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%package -n python3-keras-rl2
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Summary: Deep Reinforcement Learning for Tensorflow 2 Keras
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Provides: python-keras-rl2
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BuildRequires: python3-devel
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BuildRequires: python3-setuptools
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BuildRequires: python3-pip python3-wheel
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%description -n python3-keras-rl2
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keras-rl2 implements some state-of-the art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras.
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%package help
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Summary: Development documents and examples for keras-rl2
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Provides: python3-keras-rl2-doc
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%description help
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keras-rl2 implements some state-of-the art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras.
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%prep
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%build
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mkdir dist
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cp %{SOURCE0} dist
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%install
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%py3_install_wheel *
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install -d -m755 %{buildroot}/%{_pkgdocdir}
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if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
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if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
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if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
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if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
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pushd %{buildroot}
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touch doclist.lst
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if [ -d usr/share/man ]; then
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find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
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fi
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popd
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mv %{buildroot}/doclist.lst .
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%files -n python3-keras-rl2
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%{python3_sitelib}/*
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%files help -f doclist.lst
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%{_docdir}/*
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%changelog
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* Thu Oct 15 2020 Python_Bot <Python_Bot@openeuler.org>
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- Package Spec generated
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4
python-keras-rl2.yaml
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4
python-keras-rl2.yaml
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version_control: pypi
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src_repo: keras-rl2
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tag_prefix:
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seperator: .
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