From 3d34c1c9e63f1c2922db28f3021d91fce28af853 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Fri, 5 May 2023 11:36:58 +0000 Subject: automatic import of python-dandelion --- python-dandelion.spec | 105 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 105 insertions(+) create mode 100644 python-dandelion.spec (limited to 'python-dandelion.spec') diff --git a/python-dandelion.spec b/python-dandelion.spec new file mode 100644 index 0000000..d8de823 --- /dev/null +++ b/python-dandelion.spec @@ -0,0 +1,105 @@ +%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 - 0.17.26-1 +- Package Spec generated -- cgit v1.2.3