62 lines
2.0 KiB
RPMSpec
62 lines
2.0 KiB
RPMSpec
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%global _empty_manifest_terminate_build 0
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Name: python-keras-rl2
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Version: 1.0.4
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Release: 1
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Summary: Deep Reinforcement Learning for Tensorflow 2 Keras
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License: MIT
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URL: https://github.com/wau/keras-rl2
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Source0: https://files.pythonhosted.org/packages/dd/34/94ffeab44eef43e22a01d82aa0ca062a97392c2c2415ba8b210e72053285/keras_rl2-1.0.4-py3-none-any.whl
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BuildArch: noarch
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Requires: python3-tensorflow
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Requires: python3-gym
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%description
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keras-rl2 implements some state-of-the art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras.
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%package -n python3-keras-rl2
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Summary: Deep Reinforcement Learning for Tensorflow 2 Keras
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Provides: python-keras-rl2
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BuildRequires: python3-devel
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BuildRequires: python3-setuptools
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BuildRequires: python3-pip python3-wheel
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%description -n python3-keras-rl2
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keras-rl2 implements some state-of-the art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras.
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%package help
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Summary: Development documents and examples for keras-rl2
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Provides: python3-keras-rl2-doc
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%description help
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keras-rl2 implements some state-of-the art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras.
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%prep
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%build
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mkdir dist
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cp %{SOURCE0} dist
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%install
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%py3_install_wheel *
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install -d -m755 %{buildroot}/%{_pkgdocdir}
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if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
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if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
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if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
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if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
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pushd %{buildroot}
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touch doclist.lst
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if [ -d usr/share/man ]; then
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find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
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fi
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popd
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mv %{buildroot}/doclist.lst .
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%files -n python3-keras-rl2
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%{python3_sitelib}/*
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%files help -f doclist.lst
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%{_docdir}/*
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%changelog
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* Thu Oct 15 2020 Python_Bot <Python_Bot@openeuler.org>
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- Package Spec generated
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