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authorCoprDistGit <infra@openeuler.org>2023-04-10 23:03:57 +0000
committerCoprDistGit <infra@openeuler.org>2023-04-10 23:03:57 +0000
commit51248f65635b36d479a9ecc6facc2ad1f377f3fe (patch)
treed9f952890437ad7a53fd0e068965aa8243192dc9
parent1e82b2faf123a100f8ebf86d913ecafe3d881b18 (diff)
automatic import of python-mlagents
-rw-r--r--.gitignore1
-rw-r--r--python-mlagents.spec165
-rw-r--r--sources1
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diff --git a/.gitignore b/.gitignore
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+/mlagents-0.30.0.tar.gz
diff --git a/python-mlagents.spec b/python-mlagents.spec
new file mode 100644
index 0000000..7078d3a
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+++ b/python-mlagents.spec
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+%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
diff --git a/sources b/sources
new file mode 100644
index 0000000..54cc31b
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+d7a2fc1064d87dfa326af6017df7a87f mlagents-0.30.0.tar.gz