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author | CoprDistGit <infra@openeuler.org> | 2023-04-10 23:03:57 +0000 |
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committer | CoprDistGit <infra@openeuler.org> | 2023-04-10 23:03:57 +0000 |
commit | 51248f65635b36d479a9ecc6facc2ad1f377f3fe (patch) | |
tree | d9f952890437ad7a53fd0e068965aa8243192dc9 | |
parent | 1e82b2faf123a100f8ebf86d913ecafe3d881b18 (diff) |
automatic import of python-mlagents
-rw-r--r-- | .gitignore | 1 | ||||
-rw-r--r-- | python-mlagents.spec | 165 | ||||
-rw-r--r-- | sources | 1 |
3 files changed, 167 insertions, 0 deletions
@@ -0,0 +1 @@ +/mlagents-0.30.0.tar.gz diff --git a/python-mlagents.spec b/python-mlagents.spec new file mode 100644 index 0000000..7078d3a --- /dev/null +++ b/python-mlagents.spec @@ -0,0 +1,165 @@ +%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 <Python_Bot@openeuler.org> - 0.30.0-1 +- Package Spec generated @@ -0,0 +1 @@ +d7a2fc1064d87dfa326af6017df7a87f mlagents-0.30.0.tar.gz |