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@@ -0,0 +1 @@ +/open_spiel-1.2.tar.gz diff --git a/python-open-spiel.spec b/python-open-spiel.spec new file mode 100644 index 0000000..e5a5f5a --- /dev/null +++ b/python-open-spiel.spec @@ -0,0 +1,335 @@ +%global _empty_manifest_terminate_build 0 +Name: python-open-spiel +Version: 1.2 +Release: 1 +Summary: A Framework for Reinforcement Learning in Games +License: Apache 2.0 +URL: https://github.com/deepmind/open_spiel +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/15/fa/b850c0b6c67643e12839deaa65a9775fcdd88eab747e0311e1a13aee0a89/open_spiel-1.2.tar.gz +BuildArch: noarch + +Requires: python3-pip +Requires: python3-attrs +Requires: python3-absl-py +Requires: python3-numpy +Requires: python3-scipy + +%description + +# OpenSpiel: A Framework for Reinforcement Learning in Games + +[](https://openspiel.readthedocs.io/en/latest/?badge=latest) + + +OpenSpiel is a collection of environments and algorithms for research in general +reinforcement learning and search/planning in games. OpenSpiel supports n-player +(single- and multi- agent) zero-sum, cooperative and general-sum, one-shot and +sequential, strictly turn-taking and simultaneous-move, perfect and imperfect +information games, as well as traditional multiagent environments such as +(partially- and fully- observable) grid worlds and social dilemmas. OpenSpiel +also includes tools to analyze learning dynamics and other common evaluation +metrics. Games are represented as procedural extensive-form games, with some +natural extensions. The core API and games are implemented in C++ and exposed to +Python. Algorithms and tools are written both in C++ and Python. + +To try OpenSpiel in Google Colaboratory, please refer to `open_spiel/colabs` subdirectory or start [here](https://colab.research.google.com/github/deepmind/open_spiel/blob/master/open_spiel/colabs/install_open_spiel.ipynb). + +<p align="center"> + <img src="docs/_static/OpenSpielB.png" alt="OpenSpiel visual asset"> +</p> + +# Index + +Please choose among the following options: + +* [Installing OpenSpiel](docs/install.md) +* [Introduction to OpenSpiel](docs/intro.md) +* [API Overview and First Example](docs/concepts.md) +* [API Reference](docs/api_reference.md) +* [Overview of Implemented Games](docs/games.md) +* [Overview of Implemented Algorithms](docs/algorithms.md) +* [Developer Guide](docs/developer_guide.md) +* [Using OpenSpiel as a C++ Library](docs/library.md) +* [Guidelines and Contributing](docs/contributing.md) +* [Authors](docs/authors.md) + +For a longer introduction to the core concepts, formalisms, and terminology, +including an overview of the algorithms and some results, please see +[OpenSpiel: A Framework for Reinforcement Learning in Games](https://arxiv.org/abs/1908.09453). + +For an overview of OpenSpiel and example uses of the core API, please check out +our tutorials: + +* [Motivation, Core API, Brief Intro to Replictor Dynamics and Imperfect + Information Games](https://www.youtube.com/watch?v=8NCPqtPwlFQ) by Marc + Lanctot. + [(slides)](http://mlanctot.info/files/OpenSpiel_Tutorial_KU_Leuven_2022.pdf) + [(colab)](https://colab.research.google.com/github/deepmind/open_spiel/blob/master/open_spiel/colabs/OpenSpielTutorial.ipynb) +* [Motivation, Core API, Implementing CFR and REINFORCE on Kuhn poker, Leduc + poker, and Goofspiel](https://www.youtube.com/watch?v=o6JNHoGUXCo) by Edward + Lockhart. + [(slides)](http://mlanctot.info/files/open_spiel_tutorial-mar2021-comarl.pdf) + [(colab)](https://colab.research.google.com/github/deepmind/open_spiel/blob/master/open_spiel/colabs/CFR_and_REINFORCE.ipynb) + +If you use OpenSpiel in your research, please cite the paper using the following +BibTeX: + +```bibtex +@article{LanctotEtAl2019OpenSpiel, + title = {{OpenSpiel}: A Framework for Reinforcement Learning in Games}, + author = {Marc Lanctot and Edward Lockhart and Jean-Baptiste Lespiau and + Vinicius Zambaldi and Satyaki Upadhyay and Julien P\'{e}rolat and + Sriram Srinivasan and Finbarr Timbers and Karl Tuyls and + Shayegan Omidshafiei and Daniel Hennes and Dustin Morrill and + Paul Muller and Timo Ewalds and Ryan Faulkner and J\'{a}nos Kram\'{a}r + and Bart De Vylder and Brennan Saeta and James Bradbury and David Ding + and Sebastian Borgeaud and Matthew Lai and Julian Schrittwieser and + Thomas Anthony and Edward Hughes and Ivo Danihelka and Jonah Ryan-Davis}, + year = {2019}, + eprint = {1908.09453}, + archivePrefix = {arXiv}, + primaryClass = {cs.LG}, + journal = {CoRR}, + volume = {abs/1908.09453}, + url = {http://arxiv.org/abs/1908.09453}, +} +``` + +## Versioning + +We use [Semantic Versioning](https://semver.org/). + + + + + +%package -n python3-open-spiel +Summary: A Framework for Reinforcement Learning in Games +Provides: python-open-spiel +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-open-spiel + +# OpenSpiel: A Framework for Reinforcement Learning in Games + +[](https://openspiel.readthedocs.io/en/latest/?badge=latest) + + +OpenSpiel is a collection of environments and algorithms for research in general +reinforcement learning and search/planning in games. OpenSpiel supports n-player +(single- and multi- agent) zero-sum, cooperative and general-sum, one-shot and +sequential, strictly turn-taking and simultaneous-move, perfect and imperfect +information games, as well as traditional multiagent environments such as +(partially- and fully- observable) grid worlds and social dilemmas. OpenSpiel +also includes tools to analyze learning dynamics and other common evaluation +metrics. Games are represented as procedural extensive-form games, with some +natural extensions. The core API and games are implemented in C++ and exposed to +Python. Algorithms and tools are written both in C++ and Python. + +To try OpenSpiel in Google Colaboratory, please refer to `open_spiel/colabs` subdirectory or start [here](https://colab.research.google.com/github/deepmind/open_spiel/blob/master/open_spiel/colabs/install_open_spiel.ipynb). + +<p align="center"> + <img src="docs/_static/OpenSpielB.png" alt="OpenSpiel visual asset"> +</p> + +# Index + +Please choose among the following options: + +* [Installing OpenSpiel](docs/install.md) +* [Introduction to OpenSpiel](docs/intro.md) +* [API Overview and First Example](docs/concepts.md) +* [API Reference](docs/api_reference.md) +* [Overview of Implemented Games](docs/games.md) +* [Overview of Implemented Algorithms](docs/algorithms.md) +* [Developer Guide](docs/developer_guide.md) +* [Using OpenSpiel as a C++ Library](docs/library.md) +* [Guidelines and Contributing](docs/contributing.md) +* [Authors](docs/authors.md) + +For a longer introduction to the core concepts, formalisms, and terminology, +including an overview of the algorithms and some results, please see +[OpenSpiel: A Framework for Reinforcement Learning in Games](https://arxiv.org/abs/1908.09453). + +For an overview of OpenSpiel and example uses of the core API, please check out +our tutorials: + +* [Motivation, Core API, Brief Intro to Replictor Dynamics and Imperfect + Information Games](https://www.youtube.com/watch?v=8NCPqtPwlFQ) by Marc + Lanctot. + [(slides)](http://mlanctot.info/files/OpenSpiel_Tutorial_KU_Leuven_2022.pdf) + [(colab)](https://colab.research.google.com/github/deepmind/open_spiel/blob/master/open_spiel/colabs/OpenSpielTutorial.ipynb) +* [Motivation, Core API, Implementing CFR and REINFORCE on Kuhn poker, Leduc + poker, and Goofspiel](https://www.youtube.com/watch?v=o6JNHoGUXCo) by Edward + Lockhart. + [(slides)](http://mlanctot.info/files/open_spiel_tutorial-mar2021-comarl.pdf) + [(colab)](https://colab.research.google.com/github/deepmind/open_spiel/blob/master/open_spiel/colabs/CFR_and_REINFORCE.ipynb) + +If you use OpenSpiel in your research, please cite the paper using the following +BibTeX: + +```bibtex +@article{LanctotEtAl2019OpenSpiel, + title = {{OpenSpiel}: A Framework for Reinforcement Learning in Games}, + author = {Marc Lanctot and Edward Lockhart and Jean-Baptiste Lespiau and + Vinicius Zambaldi and Satyaki Upadhyay and Julien P\'{e}rolat and + Sriram Srinivasan and Finbarr Timbers and Karl Tuyls and + Shayegan Omidshafiei and Daniel Hennes and Dustin Morrill and + Paul Muller and Timo Ewalds and Ryan Faulkner and J\'{a}nos Kram\'{a}r + and Bart De Vylder and Brennan Saeta and James Bradbury and David Ding + and Sebastian Borgeaud and Matthew Lai and Julian Schrittwieser and + Thomas Anthony and Edward Hughes and Ivo Danihelka and Jonah Ryan-Davis}, + year = {2019}, + eprint = {1908.09453}, + archivePrefix = {arXiv}, + primaryClass = {cs.LG}, + journal = {CoRR}, + volume = {abs/1908.09453}, + url = {http://arxiv.org/abs/1908.09453}, +} +``` + +## Versioning + +We use [Semantic Versioning](https://semver.org/). + + + + + +%package help +Summary: Development documents and examples for open-spiel +Provides: python3-open-spiel-doc +%description help + +# OpenSpiel: A Framework for Reinforcement Learning in Games + +[](https://openspiel.readthedocs.io/en/latest/?badge=latest) + + +OpenSpiel is a collection of environments and algorithms for research in general +reinforcement learning and search/planning in games. OpenSpiel supports n-player +(single- and multi- agent) zero-sum, cooperative and general-sum, one-shot and +sequential, strictly turn-taking and simultaneous-move, perfect and imperfect +information games, as well as traditional multiagent environments such as +(partially- and fully- observable) grid worlds and social dilemmas. OpenSpiel +also includes tools to analyze learning dynamics and other common evaluation +metrics. Games are represented as procedural extensive-form games, with some +natural extensions. The core API and games are implemented in C++ and exposed to +Python. Algorithms and tools are written both in C++ and Python. + +To try OpenSpiel in Google Colaboratory, please refer to `open_spiel/colabs` subdirectory or start [here](https://colab.research.google.com/github/deepmind/open_spiel/blob/master/open_spiel/colabs/install_open_spiel.ipynb). + +<p align="center"> + <img src="docs/_static/OpenSpielB.png" alt="OpenSpiel visual asset"> +</p> + +# Index + +Please choose among the following options: + +* [Installing OpenSpiel](docs/install.md) +* [Introduction to OpenSpiel](docs/intro.md) +* [API Overview and First Example](docs/concepts.md) +* [API Reference](docs/api_reference.md) +* [Overview of Implemented Games](docs/games.md) +* [Overview of Implemented Algorithms](docs/algorithms.md) +* [Developer Guide](docs/developer_guide.md) +* [Using OpenSpiel as a C++ Library](docs/library.md) +* [Guidelines and Contributing](docs/contributing.md) +* [Authors](docs/authors.md) + +For a longer introduction to the core concepts, formalisms, and terminology, +including an overview of the algorithms and some results, please see +[OpenSpiel: A Framework for Reinforcement Learning in Games](https://arxiv.org/abs/1908.09453). + +For an overview of OpenSpiel and example uses of the core API, please check out +our tutorials: + +* [Motivation, Core API, Brief Intro to Replictor Dynamics and Imperfect + Information Games](https://www.youtube.com/watch?v=8NCPqtPwlFQ) by Marc + Lanctot. + [(slides)](http://mlanctot.info/files/OpenSpiel_Tutorial_KU_Leuven_2022.pdf) + [(colab)](https://colab.research.google.com/github/deepmind/open_spiel/blob/master/open_spiel/colabs/OpenSpielTutorial.ipynb) +* [Motivation, Core API, Implementing CFR and REINFORCE on Kuhn poker, Leduc + poker, and Goofspiel](https://www.youtube.com/watch?v=o6JNHoGUXCo) by Edward + Lockhart. + [(slides)](http://mlanctot.info/files/open_spiel_tutorial-mar2021-comarl.pdf) + [(colab)](https://colab.research.google.com/github/deepmind/open_spiel/blob/master/open_spiel/colabs/CFR_and_REINFORCE.ipynb) + +If you use OpenSpiel in your research, please cite the paper using the following +BibTeX: + +```bibtex +@article{LanctotEtAl2019OpenSpiel, + title = {{OpenSpiel}: A Framework for Reinforcement Learning in Games}, + author = {Marc Lanctot and Edward Lockhart and Jean-Baptiste Lespiau and + Vinicius Zambaldi and Satyaki Upadhyay and Julien P\'{e}rolat and + Sriram Srinivasan and Finbarr Timbers and Karl Tuyls and + Shayegan Omidshafiei and Daniel Hennes and Dustin Morrill and + Paul Muller and Timo Ewalds and Ryan Faulkner and J\'{a}nos Kram\'{a}r + and Bart De Vylder and Brennan Saeta and James Bradbury and David Ding + and Sebastian Borgeaud and Matthew Lai and Julian Schrittwieser and + Thomas Anthony and Edward Hughes and Ivo Danihelka and Jonah Ryan-Davis}, + year = {2019}, + eprint = {1908.09453}, + archivePrefix = {arXiv}, + primaryClass = {cs.LG}, + journal = {CoRR}, + volume = {abs/1908.09453}, + url = {http://arxiv.org/abs/1908.09453}, +} +``` + +## Versioning + +We use [Semantic Versioning](https://semver.org/). + + + + + +%prep +%autosetup -n open-spiel-1.2 + +%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-open-spiel -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2-1 +- Package Spec generated @@ -0,0 +1 @@ +0a991c0c797a1bd646ba5f8725b5dcc3 open_spiel-1.2.tar.gz |