%global _empty_manifest_terminate_build 0
Name:		python-mead-layers
Version:	2.4.2
Release:	1
Summary:	Reusable Deep-Learning layers for NLP
License:	Apache 2.0
URL:		https://www.github.com/mead-ml/mead-layers
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/2d/9e/e207705a4405bec653ceecd2e6bd64edc9fbe60dbc67e9483a0f9f792ce2/mead-layers-2.4.2.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-matplotlib
Requires:	python3-pytest
Requires:	python3-mock
Requires:	python3-contextdecorator
Requires:	python3-pytest-forked
Requires:	python3-tensorflow-addons
Requires:	python3-pyyaml

%description
# Eight Mile

[![PyPi Version](https://img.shields.io/pypi/v/mead-layers)](https://pypi.org/project/mead-layers/) [![Actions Status](https://github.com/mead-ml/mead-layers/workflows/Unit%20Test/badge.svg)](https://github.com/mead-ml/mead-layers/actions) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

Layers built on PyTorch/TensorFlow for reuse in MEAD framework (or a la carte)




%package -n python3-mead-layers
Summary:	Reusable Deep-Learning layers for NLP
Provides:	python-mead-layers
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-mead-layers
# Eight Mile

[![PyPi Version](https://img.shields.io/pypi/v/mead-layers)](https://pypi.org/project/mead-layers/) [![Actions Status](https://github.com/mead-ml/mead-layers/workflows/Unit%20Test/badge.svg)](https://github.com/mead-ml/mead-layers/actions) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

Layers built on PyTorch/TensorFlow for reuse in MEAD framework (or a la carte)




%package help
Summary:	Development documents and examples for mead-layers
Provides:	python3-mead-layers-doc
%description help
# Eight Mile

[![PyPi Version](https://img.shields.io/pypi/v/mead-layers)](https://pypi.org/project/mead-layers/) [![Actions Status](https://github.com/mead-ml/mead-layers/workflows/Unit%20Test/badge.svg)](https://github.com/mead-ml/mead-layers/actions) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

Layers built on PyTorch/TensorFlow for reuse in MEAD framework (or a la carte)




%prep
%autosetup -n mead-layers-2.4.2

%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-mead-layers -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 2.4.2-1
- Package Spec generated