automatic import of python-pyrlprob

3 files changed, 218 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/pyrlprob-2.0.3.tar.gz
diff --git a/python-pyrlprob.spec b/python-pyrlprob.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-pyrlprob
+Version:	2.0.3
+Release:	1
+Summary:	Train Gym-derived environments in Python/C++ through Ray RLlib
+License:	MIT License
+URL:		https://github.com/LorenzoFederici/pyrlprob
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/87/90/b863fca4ffb5ea8dc8de9c8c27c15ff85488fa9c146413ea2a77659189cf/pyrlprob-2.0.3.tar.gz
+BuildArch:	noarch
+
+
+%description
+<p align="center">
+  <img align="center" src="https://github.com/LorenzoFederici/pyrlprob/blob/main/logo.png?raw=true" width="500" />
+</p>
+
+<div align="center">
+
+![GitHub Repo stars](https://img.shields.io/github/stars/LorenzoFederici/pyrlprob?style=social)
+![GitHub last commit](https://img.shields.io/github/last-commit/LorenzoFederici/pyrlprob)
+![GitHub Release Date](https://img.shields.io/github/release-date/LorenzoFederici/pyrlprob)
+![GitHub release (latest by date)](https://img.shields.io/github/v/release/LorenzoFederici/pyrlprob)
+![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyrlprob)
+
+</div>
+
+PyRLprob is an open-source python library for training, evaluation, and postprocessing of [Gym](https://gym.openai.com/)-based environments, written in Python, through [Ray-RLlib](https://docs.ray.io/en/master/rllib.html) reinforcement learning library.
+
+## Installation
+
+Use the package manager [pip](https://pip.pypa.io/en/stable/) to install the latest stable release of pyRLprob, with all its dependencies:
+
+```bash
+pip install pyrlprob
+```
+
+To test if the package is installed correctly, run the following tests:
+
+
+```python
+from pyrlprob.tests import *
+
+test_train_py()
+test_train_eval_py()
+```
+
+If the code exits without errors, a folder named `results/` with the test results will be created in your current directory.
+
+## User Guide
+[Latest user guide](https://drive.google.com/file/d/1bNs2g50cxtmAGhhB1_Kf3hX8pdkbCplZ/view?usp=share_link).
+
+## Credits
+pyRLprob has been created by [Lorenzo Federici](https://github.com/LorenzoFederici) in 2021.
+For any problem, clarification or suggestion, you can contact the author at [lorenzof@arizona.edu](mailto:lorenzof@arizona.edu).
+
+## License
+The package is under the [MIT](https://choosealicense.com/licenses/mit/) license.
+
+
+
+
+
+%package -n python3-pyrlprob
+Summary:	Train Gym-derived environments in Python/C++ through Ray RLlib
+Provides:	python-pyrlprob
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pyrlprob
+<p align="center">
+  <img align="center" src="https://github.com/LorenzoFederici/pyrlprob/blob/main/logo.png?raw=true" width="500" />
+</p>
+
+<div align="center">
+
+![GitHub Repo stars](https://img.shields.io/github/stars/LorenzoFederici/pyrlprob?style=social)
+![GitHub last commit](https://img.shields.io/github/last-commit/LorenzoFederici/pyrlprob)
+![GitHub Release Date](https://img.shields.io/github/release-date/LorenzoFederici/pyrlprob)
+![GitHub release (latest by date)](https://img.shields.io/github/v/release/LorenzoFederici/pyrlprob)
+![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyrlprob)
+
+</div>
+
+PyRLprob is an open-source python library for training, evaluation, and postprocessing of [Gym](https://gym.openai.com/)-based environments, written in Python, through [Ray-RLlib](https://docs.ray.io/en/master/rllib.html) reinforcement learning library.
+
+## Installation
+
+Use the package manager [pip](https://pip.pypa.io/en/stable/) to install the latest stable release of pyRLprob, with all its dependencies:
+
+```bash
+pip install pyrlprob
+```
+
+To test if the package is installed correctly, run the following tests:
+
+
+```python
+from pyrlprob.tests import *
+
+test_train_py()
+test_train_eval_py()
+```
+
+If the code exits without errors, a folder named `results/` with the test results will be created in your current directory.
+
+## User Guide
+[Latest user guide](https://drive.google.com/file/d/1bNs2g50cxtmAGhhB1_Kf3hX8pdkbCplZ/view?usp=share_link).
+
+## Credits
+pyRLprob has been created by [Lorenzo Federici](https://github.com/LorenzoFederici) in 2021.
+For any problem, clarification or suggestion, you can contact the author at [lorenzof@arizona.edu](mailto:lorenzof@arizona.edu).
+
+## License
+The package is under the [MIT](https://choosealicense.com/licenses/mit/) license.
+
+
+
+
+
+%package help
+Summary:	Development documents and examples for pyrlprob
+Provides:	python3-pyrlprob-doc
+%description help
+<p align="center">
+  <img align="center" src="https://github.com/LorenzoFederici/pyrlprob/blob/main/logo.png?raw=true" width="500" />
+</p>
+
+<div align="center">
+
+![GitHub Repo stars](https://img.shields.io/github/stars/LorenzoFederici/pyrlprob?style=social)
+![GitHub last commit](https://img.shields.io/github/last-commit/LorenzoFederici/pyrlprob)
+![GitHub Release Date](https://img.shields.io/github/release-date/LorenzoFederici/pyrlprob)
+![GitHub release (latest by date)](https://img.shields.io/github/v/release/LorenzoFederici/pyrlprob)
+![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyrlprob)
+
+</div>
+
+PyRLprob is an open-source python library for training, evaluation, and postprocessing of [Gym](https://gym.openai.com/)-based environments, written in Python, through [Ray-RLlib](https://docs.ray.io/en/master/rllib.html) reinforcement learning library.
+
+## Installation
+
+Use the package manager [pip](https://pip.pypa.io/en/stable/) to install the latest stable release of pyRLprob, with all its dependencies:
+
+```bash
+pip install pyrlprob
+```
+
+To test if the package is installed correctly, run the following tests:
+
+
+```python
+from pyrlprob.tests import *
+
+test_train_py()
+test_train_eval_py()
+```
+
+If the code exits without errors, a folder named `results/` with the test results will be created in your current directory.
+
+## User Guide
+[Latest user guide](https://drive.google.com/file/d/1bNs2g50cxtmAGhhB1_Kf3hX8pdkbCplZ/view?usp=share_link).
+
+## Credits
+pyRLprob has been created by [Lorenzo Federici](https://github.com/LorenzoFederici) in 2021.
+For any problem, clarification or suggestion, you can contact the author at [lorenzof@arizona.edu](mailto:lorenzof@arizona.edu).
+
+## License
+The package is under the [MIT](https://choosealicense.com/licenses/mit/) license.
+
+
+
+
+
+%prep
+%autosetup -n pyrlprob-2.0.3
+
+%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-pyrlprob -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.3-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
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+6fa5ea7aaa8eaa4ee030df880fcdef96  pyrlprob-2.0.3.tar.gz