%global _empty_manifest_terminate_build 0 Name: python-mlagents Version: 0.30.0 Release: 1 Summary: Unity Machine Learning Agents License: Apache Software License URL: https://github.com/Unity-Technologies/ml-agents Source0: https://mirrors.nju.edu.cn/pypi/web/packages/7c/aa/a3ab7f69807df6f05528d605a89273a69f767f1ce3e037bac40bdfdeec5b/mlagents-0.30.0.tar.gz BuildArch: noarch %description # Unity ML-Agents Trainers The `mlagents` Python package is part of the [ML-Agents Toolkit](https://github.com/Unity-Technologies/ml-agents). `mlagents` provides a set of reinforcement and imitation learning algorithms designed to be used with Unity environments. The algorithms interface with the Python API provided by the `mlagents_envs` package. See [here](../docs/Python-LLAPI.md) for more information on `mlagents_envs`. The algorithms can be accessed using the: `mlagents-learn` access point. See [here](../docs/Training-ML-Agents.md) for more information on using this package. ## Installation Install the `mlagents` package with: ```sh python -m pip install mlagents==0.30.0 ``` ## Usage & More Information For more information on the ML-Agents Toolkit and how to instrument a Unity scene with the ML-Agents SDK, check out the main [ML-Agents Toolkit documentation](../docs/Readme.md). ## Limitations - Resuming self-play from a checkpoint resets the reported ELO to the default value. %package -n python3-mlagents Summary: Unity Machine Learning Agents Provides: python-mlagents BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-mlagents # Unity ML-Agents Trainers The `mlagents` Python package is part of the [ML-Agents Toolkit](https://github.com/Unity-Technologies/ml-agents). `mlagents` provides a set of reinforcement and imitation learning algorithms designed to be used with Unity environments. The algorithms interface with the Python API provided by the `mlagents_envs` package. See [here](../docs/Python-LLAPI.md) for more information on `mlagents_envs`. The algorithms can be accessed using the: `mlagents-learn` access point. See [here](../docs/Training-ML-Agents.md) for more information on using this package. ## Installation Install the `mlagents` package with: ```sh python -m pip install mlagents==0.30.0 ``` ## Usage & More Information For more information on the ML-Agents Toolkit and how to instrument a Unity scene with the ML-Agents SDK, check out the main [ML-Agents Toolkit documentation](../docs/Readme.md). ## Limitations - Resuming self-play from a checkpoint resets the reported ELO to the default value. %package help Summary: Development documents and examples for mlagents Provides: python3-mlagents-doc %description help # Unity ML-Agents Trainers The `mlagents` Python package is part of the [ML-Agents Toolkit](https://github.com/Unity-Technologies/ml-agents). `mlagents` provides a set of reinforcement and imitation learning algorithms designed to be used with Unity environments. The algorithms interface with the Python API provided by the `mlagents_envs` package. See [here](../docs/Python-LLAPI.md) for more information on `mlagents_envs`. The algorithms can be accessed using the: `mlagents-learn` access point. See [here](../docs/Training-ML-Agents.md) for more information on using this package. ## Installation Install the `mlagents` package with: ```sh python -m pip install mlagents==0.30.0 ``` ## Usage & More Information For more information on the ML-Agents Toolkit and how to instrument a Unity scene with the ML-Agents SDK, check out the main [ML-Agents Toolkit documentation](../docs/Readme.md). ## Limitations - Resuming self-play from a checkpoint resets the reported ELO to the default value. %prep %autosetup -n mlagents-0.30.0 %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-mlagents -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon Apr 10 2023 Python_Bot - 0.30.0-1 - Package Spec generated