%global _empty_manifest_terminate_build 0
Name:		python-dm-acme
Version:	0.4.0
Release:	1
Summary:	A Python library for Reinforcement Learning.
License:	Apache License, Version 2.0
URL:		https://pypi.org/project/dm-acme/
Source0:	https://mirrors.aliyun.com/pypi/web/packages/d2/90/618fee8b627f9ad5b9e929a85e7da75442abe266fa0340b5e4993af27d9b/dm-acme-0.4.0.tar.gz
BuildArch:	noarch


%description
Acme is a library of reinforcement learning (RL) agents
and agent building blocks. Acme strives to expose simple, efficient,
and readable agents, that serve both as reference implementations of popular
algorithms and as strong baselines, while still providing enough flexibility
to do novel research. The design of Acme also attempts to provide multiple
points of entry to the RL problem at differing levels of complexity.

For more information see [github repository](https://github.com/deepmind/acme).



%package -n python3-dm-acme
Summary:	A Python library for Reinforcement Learning.
Provides:	python-dm-acme
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-dm-acme
Acme is a library of reinforcement learning (RL) agents
and agent building blocks. Acme strives to expose simple, efficient,
and readable agents, that serve both as reference implementations of popular
algorithms and as strong baselines, while still providing enough flexibility
to do novel research. The design of Acme also attempts to provide multiple
points of entry to the RL problem at differing levels of complexity.

For more information see [github repository](https://github.com/deepmind/acme).



%package help
Summary:	Development documents and examples for dm-acme
Provides:	python3-dm-acme-doc
%description help
Acme is a library of reinforcement learning (RL) agents
and agent building blocks. Acme strives to expose simple, efficient,
and readable agents, that serve both as reference implementations of popular
algorithms and as strong baselines, while still providing enough flexibility
to do novel research. The design of Acme also attempts to provide multiple
points of entry to the RL problem at differing levels of complexity.

For more information see [github repository](https://github.com/deepmind/acme).



%prep
%autosetup -n dm-acme-0.4.0

%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-dm-acme -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.0-1
- Package Spec generated