automatic import of python-sb3-contrib

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+/sb3_contrib-1.8.0.tar.gz
diff --git a/python-sb3-contrib.spec b/python-sb3-contrib.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-sb3-contrib
+Version:	1.8.0
+Release:	1
+Summary:	Contrib package of Stable Baselines3, experimental code.
+License:	MIT
+URL:		https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/45/45/ff82550b9fb1ece12ed8b4ec68b4fc6ba5624fe3073a6a1b6ed1c9fbfbd3/sb3_contrib-1.8.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-stable-baselines3
+
+%description
+
+
+# Stable-Baselines3 - Contrib (SB3-Contrib)
+
+Contrib package for [Stable-Baselines3](https://github.com/DLR-RM/stable-baselines3) - Experimental reinforcement learning (RL) code.
+"sb3-contrib" for short.
+
+### What is SB3-Contrib?
+
+A place for RL algorithms and tools that are considered experimental, e.g. implementations of the latest publications. Goal is to keep the simplicity, documentation and style of stable-baselines3 but for less matured implementations.
+
+### Why create this repository?
+
+Over the span of stable-baselines and stable-baselines3, the community has been eager to contribute in form of better logging utilities, environment wrappers, extended support (e.g. different action spaces) and learning algorithms.
+
+However sometimes these utilities were too niche to be considered for stable-baselines or proved to be too difficult to integrate well into the existing code without creating a mess. sb3-contrib aims to fix this by not requiring the neatest code integration with existing code and not setting limits on what is too niche: almost everything remotely useful goes!
+We hope this allows us to provide reliable implementations following stable-baselines usual standards (consistent style, documentation, etc) beyond the relatively small scope of utilities in the main repository.
+
+
+## Features
+
+See documentation for the full list of included features.
+
+**RL Algorithms**:
+- [Truncated Quantile Critics (TQC)](https://arxiv.org/abs/2005.04269)
+- [Quantile Regression DQN (QR-DQN)](https://arxiv.org/abs/1710.10044)
+- [PPO with invalid action masking (MaskablePPO)](https://arxiv.org/abs/2006.14171)
+- [Trust Region Policy Optimization (TRPO)](https://arxiv.org/abs/1502.05477)
+- [Augmented Random Search (ARS)](https://arxiv.org/abs/1803.07055)
+
+**Gym Wrappers**:
+- [Time Feature Wrapper](https://arxiv.org/abs/1712.00378)
+
+## Documentation
+
+Documentation is available online: [https://sb3-contrib.readthedocs.io/](https://sb3-contrib.readthedocs.io/)
+
+
+## Installation
+
+**Note:** You need the `master` version of [Stable Baselines3](https://github.com/DLR-RM/stable-baselines3/).
+
+To install Stable Baselines3 `master` version:
+```
+pip install git+https://github.com/DLR-RM/stable-baselines3
+```
+
+To install Stable Baselines3 contrib `master` version:
+```
+pip install git+https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
+
+
+
+%package -n python3-sb3-contrib
+Summary:	Contrib package of Stable Baselines3, experimental code.
+Provides:	python-sb3-contrib
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-sb3-contrib
+
+
+# Stable-Baselines3 - Contrib (SB3-Contrib)
+
+Contrib package for [Stable-Baselines3](https://github.com/DLR-RM/stable-baselines3) - Experimental reinforcement learning (RL) code.
+"sb3-contrib" for short.
+
+### What is SB3-Contrib?
+
+A place for RL algorithms and tools that are considered experimental, e.g. implementations of the latest publications. Goal is to keep the simplicity, documentation and style of stable-baselines3 but for less matured implementations.
+
+### Why create this repository?
+
+Over the span of stable-baselines and stable-baselines3, the community has been eager to contribute in form of better logging utilities, environment wrappers, extended support (e.g. different action spaces) and learning algorithms.
+
+However sometimes these utilities were too niche to be considered for stable-baselines or proved to be too difficult to integrate well into the existing code without creating a mess. sb3-contrib aims to fix this by not requiring the neatest code integration with existing code and not setting limits on what is too niche: almost everything remotely useful goes!
+We hope this allows us to provide reliable implementations following stable-baselines usual standards (consistent style, documentation, etc) beyond the relatively small scope of utilities in the main repository.
+
+
+## Features
+
+See documentation for the full list of included features.
+
+**RL Algorithms**:
+- [Truncated Quantile Critics (TQC)](https://arxiv.org/abs/2005.04269)
+- [Quantile Regression DQN (QR-DQN)](https://arxiv.org/abs/1710.10044)
+- [PPO with invalid action masking (MaskablePPO)](https://arxiv.org/abs/2006.14171)
+- [Trust Region Policy Optimization (TRPO)](https://arxiv.org/abs/1502.05477)
+- [Augmented Random Search (ARS)](https://arxiv.org/abs/1803.07055)
+
+**Gym Wrappers**:
+- [Time Feature Wrapper](https://arxiv.org/abs/1712.00378)
+
+## Documentation
+
+Documentation is available online: [https://sb3-contrib.readthedocs.io/](https://sb3-contrib.readthedocs.io/)
+
+
+## Installation
+
+**Note:** You need the `master` version of [Stable Baselines3](https://github.com/DLR-RM/stable-baselines3/).
+
+To install Stable Baselines3 `master` version:
+```
+pip install git+https://github.com/DLR-RM/stable-baselines3
+```
+
+To install Stable Baselines3 contrib `master` version:
+```
+pip install git+https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
+
+
+
+%package help
+Summary:	Development documents and examples for sb3-contrib
+Provides:	python3-sb3-contrib-doc
+%description help
+
+
+# Stable-Baselines3 - Contrib (SB3-Contrib)
+
+Contrib package for [Stable-Baselines3](https://github.com/DLR-RM/stable-baselines3) - Experimental reinforcement learning (RL) code.
+"sb3-contrib" for short.
+
+### What is SB3-Contrib?
+
+A place for RL algorithms and tools that are considered experimental, e.g. implementations of the latest publications. Goal is to keep the simplicity, documentation and style of stable-baselines3 but for less matured implementations.
+
+### Why create this repository?
+
+Over the span of stable-baselines and stable-baselines3, the community has been eager to contribute in form of better logging utilities, environment wrappers, extended support (e.g. different action spaces) and learning algorithms.
+
+However sometimes these utilities were too niche to be considered for stable-baselines or proved to be too difficult to integrate well into the existing code without creating a mess. sb3-contrib aims to fix this by not requiring the neatest code integration with existing code and not setting limits on what is too niche: almost everything remotely useful goes!
+We hope this allows us to provide reliable implementations following stable-baselines usual standards (consistent style, documentation, etc) beyond the relatively small scope of utilities in the main repository.
+
+
+## Features
+
+See documentation for the full list of included features.
+
+**RL Algorithms**:
+- [Truncated Quantile Critics (TQC)](https://arxiv.org/abs/2005.04269)
+- [Quantile Regression DQN (QR-DQN)](https://arxiv.org/abs/1710.10044)
+- [PPO with invalid action masking (MaskablePPO)](https://arxiv.org/abs/2006.14171)
+- [Trust Region Policy Optimization (TRPO)](https://arxiv.org/abs/1502.05477)
+- [Augmented Random Search (ARS)](https://arxiv.org/abs/1803.07055)
+
+**Gym Wrappers**:
+- [Time Feature Wrapper](https://arxiv.org/abs/1712.00378)
+
+## Documentation
+
+Documentation is available online: [https://sb3-contrib.readthedocs.io/](https://sb3-contrib.readthedocs.io/)
+
+
+## Installation
+
+**Note:** You need the `master` version of [Stable Baselines3](https://github.com/DLR-RM/stable-baselines3/).
+
+To install Stable Baselines3 `master` version:
+```
+pip install git+https://github.com/DLR-RM/stable-baselines3
+```
+
+To install Stable Baselines3 contrib `master` version:
+```
+pip install git+https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
+
+
+
+%prep
+%autosetup -n sb3-contrib-1.8.0
+
+%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-sb3-contrib -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 1.8.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
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+++ b/sources
@@ -0,0 +1 @@
+4a0ba7da1d29c0879c4b9bdcd0f58164  sb3_contrib-1.8.0.tar.gz