%global _empty_manifest_terminate_build 0
Name:		python-tensorflow-lattice
Version:	2.0.11
Release:	1
Summary:	A library that implements optionally monotonic lattice based models.
License:	Apache 2.0
URL:		https://github.com/tensorflow/lattice
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/06/e3/0a2bc45a31fb8ecff1de4a1db8b5e1805d9c597a255ec2c03553a29a2e18/tensorflow_lattice-2.0.11.tar.gz
BuildArch:	noarch

Requires:	python3-absl-py
Requires:	python3-dm-sonnet
Requires:	python3-graphviz
Requires:	python3-matplotlib
Requires:	python3-numpy
Requires:	python3-pandas
Requires:	python3-scikit-learn
Requires:	python3-six
Requires:	python3-tensorflow

%description
TensorFlow Lattice is a library that implements fast-to-evaluate and
interpretable (optionally monotonic) lattice based models, which are also known
as *interpolated look-up tables*. The library includes a collection of
Estimators, which operate like any TensorFlow Estimator. It also includes
Keras layers for lattices and feature calibration that can be composed
into custom models.




%package -n python3-tensorflow-lattice
Summary:	A library that implements optionally monotonic lattice based models.
Provides:	python-tensorflow-lattice
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-tensorflow-lattice
TensorFlow Lattice is a library that implements fast-to-evaluate and
interpretable (optionally monotonic) lattice based models, which are also known
as *interpolated look-up tables*. The library includes a collection of
Estimators, which operate like any TensorFlow Estimator. It also includes
Keras layers for lattices and feature calibration that can be composed
into custom models.




%package help
Summary:	Development documents and examples for tensorflow-lattice
Provides:	python3-tensorflow-lattice-doc
%description help
TensorFlow Lattice is a library that implements fast-to-evaluate and
interpretable (optionally monotonic) lattice based models, which are also known
as *interpolated look-up tables*. The library includes a collection of
Estimators, which operate like any TensorFlow Estimator. It also includes
Keras layers for lattices and feature calibration that can be composed
into custom models.




%prep
%autosetup -n tensorflow-lattice-2.0.11

%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-tensorflow-lattice -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.11-1
- Package Spec generated