automatic import of python-dandelionopeneuler20.03

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+%global _empty_manifest_terminate_build 0
+Name:		python-Dandelion
+Version:	0.17.26
+Release:	1
+Summary:	A light weight deep learning framework
+License:	Mozilla Public License v2.0
+URL:		https://github.com/david-leon/Dandelion
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/c5/95/ffc8f66952f46c0d05228ccd233f6c319d596382879cd8ccfe33ec67bc6e/Dandelion-0.17.26.tar.gz
+BuildArch:	noarch
+
+
+%description
+module            | all neual network module definitions
+functional        | operations on tensor with no parameter to be learned
+initialization    | initialization methods for neural network modules
+activation        | definition of all activation functions
+objective         | definition of all loss objectives
+update            | definition of all optimizers
+util              | utility functions
+model             | model implementations out-of-the-box
+ext               | extensions
+## Credits
+The design of Dandelion heavily draws on [Lasagne](https://github.com/Lasagne/Lasagne) and [Pytorch](http://pytorch.org/), both my favorate DL libraries.  
+Special thanks to **Radomir Dopieralski**, who transferred the `dandelion` project name on pypi to us. Now you can install the package by simply `pip install dandelion`.
+
+%package -n python3-Dandelion
+Summary:	A light weight deep learning framework
+Provides:	python-Dandelion
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-Dandelion
+module            | all neual network module definitions
+functional        | operations on tensor with no parameter to be learned
+initialization    | initialization methods for neural network modules
+activation        | definition of all activation functions
+objective         | definition of all loss objectives
+update            | definition of all optimizers
+util              | utility functions
+model             | model implementations out-of-the-box
+ext               | extensions
+## Credits
+The design of Dandelion heavily draws on [Lasagne](https://github.com/Lasagne/Lasagne) and [Pytorch](http://pytorch.org/), both my favorate DL libraries.  
+Special thanks to **Radomir Dopieralski**, who transferred the `dandelion` project name on pypi to us. Now you can install the package by simply `pip install dandelion`.
+
+%package help
+Summary:	Development documents and examples for Dandelion
+Provides:	python3-Dandelion-doc
+%description help
+module            | all neual network module definitions
+functional        | operations on tensor with no parameter to be learned
+initialization    | initialization methods for neural network modules
+activation        | definition of all activation functions
+objective         | definition of all loss objectives
+update            | definition of all optimizers
+util              | utility functions
+model             | model implementations out-of-the-box
+ext               | extensions
+## Credits
+The design of Dandelion heavily draws on [Lasagne](https://github.com/Lasagne/Lasagne) and [Pytorch](http://pytorch.org/), both my favorate DL libraries.  
+Special thanks to **Radomir Dopieralski**, who transferred the `dandelion` project name on pypi to us. Now you can install the package by simply `pip install dandelion`.
+
+%prep
+%autosetup -n Dandelion-0.17.26
+
+%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-Dandelion -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.17.26-1
+- Package Spec generated