automatic import of python-keras-nightly

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+%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