%global _empty_manifest_terminate_build 0
Name:		python-keras-nightly
Version:	2.13.0.dev2023041007
Release:	1
Summary:	Deep learning for humans.
License:	Apache 2.0
URL:		https://keras.io/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/4d/e8/661ceaceecc49c996d2e03b7d81fc39a29ec65f7073190d405a91ff47089/keras-nightly-2.13.0.dev2023041007.tar.gz
BuildArch:	noarch


%description
Keras is a deep learning API written in Python,
running on top of the machine learning platform TensorFlow.

It was developed with a focus on enabling fast experimentation and
providing a delightful developer experience.
The purpose of Keras is to give an *unfair advantage* to any developer
looking to ship ML-powered apps.

Keras is:

-   **Simple** -- but not simplistic. Keras reduces developer *cognitive load*
    to free you to focus on the parts of the problem that really matter.
    Keras focuses on ease of use, debugging speed, code elegance & conciseness,
    maintainability, and deployability (via TFServing, TFLite, TF.js).
-   **Flexible** -- Keras adopts the principle of *progressive disclosure of
    complexity*: simple workflows should be quick and easy, while arbitrarily
    advanced workflows should be *possible* via a clear path that builds upon
    what you've already learned.
-   **Powerful** -- Keras provides industry-strength performance and
    scalability: it is used by organizations and companies including NASA,
    YouTube, and Waymo. That's right -- your YouTube recommendations are
    powered by Keras, and so is the world's most advanced driverless vehicle.


%package -n python3-keras-nightly
Summary:	Deep learning for humans.
Provides:	python-keras-nightly
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-keras-nightly
Keras is a deep learning API written in Python,
running on top of the machine learning platform TensorFlow.

It was developed with a focus on enabling fast experimentation and
providing a delightful developer experience.
The purpose of Keras is to give an *unfair advantage* to any developer
looking to ship ML-powered apps.

Keras is:

-   **Simple** -- but not simplistic. Keras reduces developer *cognitive load*
    to free you to focus on the parts of the problem that really matter.
    Keras focuses on ease of use, debugging speed, code elegance & conciseness,
    maintainability, and deployability (via TFServing, TFLite, TF.js).
-   **Flexible** -- Keras adopts the principle of *progressive disclosure of
    complexity*: simple workflows should be quick and easy, while arbitrarily
    advanced workflows should be *possible* via a clear path that builds upon
    what you've already learned.
-   **Powerful** -- Keras provides industry-strength performance and
    scalability: it is used by organizations and companies including NASA,
    YouTube, and Waymo. That's right -- your YouTube recommendations are
    powered by Keras, and so is the world's most advanced driverless vehicle.


%package help
Summary:	Development documents and examples for keras-nightly
Provides:	python3-keras-nightly-doc
%description help
Keras is a deep learning API written in Python,
running on top of the machine learning platform TensorFlow.

It was developed with a focus on enabling fast experimentation and
providing a delightful developer experience.
The purpose of Keras is to give an *unfair advantage* to any developer
looking to ship ML-powered apps.

Keras is:

-   **Simple** -- but not simplistic. Keras reduces developer *cognitive load*
    to free you to focus on the parts of the problem that really matter.
    Keras focuses on ease of use, debugging speed, code elegance & conciseness,
    maintainability, and deployability (via TFServing, TFLite, TF.js).
-   **Flexible** -- Keras adopts the principle of *progressive disclosure of
    complexity*: simple workflows should be quick and easy, while arbitrarily
    advanced workflows should be *possible* via a clear path that builds upon
    what you've already learned.
-   **Powerful** -- Keras provides industry-strength performance and
    scalability: it is used by organizations and companies including NASA,
    YouTube, and Waymo. That's right -- your YouTube recommendations are
    powered by Keras, and so is the world's most advanced driverless vehicle.


%prep
%autosetup -n keras-nightly-2.13.0.dev2023041007

%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-keras-nightly -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.13.0.dev2023041007-1
- Package Spec generated