diff options
Diffstat (limited to 'python-flowtorch.spec')
| -rw-r--r-- | python-flowtorch.spec | 189 |
1 files changed, 189 insertions, 0 deletions
diff --git a/python-flowtorch.spec b/python-flowtorch.spec new file mode 100644 index 0000000..5f7f877 --- /dev/null +++ b/python-flowtorch.spec @@ -0,0 +1,189 @@ +%global _empty_manifest_terminate_build 0 +Name: python-flowtorch +Version: 0.8 +Release: 1 +Summary: Normalizing Flows for PyTorch +License: MIT +URL: https://flowtorch.ai/users +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5a/ac/c6527619b342a8d7bf5dd82c1d49c750946c2512ebe66187c81c143fcfa0/flowtorch-0.8.tar.gz +BuildArch: noarch + +Requires: python3-torch +Requires: python3-numpy +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-scipy +Requires: python3-black +Requires: python3-flake8 +Requires: python3-flake8-bugbear +Requires: python3-mypy +Requires: python3-toml +Requires: python3-usort +Requires: python3-numpy +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-scipy + +%description +<p align="center"><img src="https://github.com/facebookincubator/flowtorch/raw/main/website/static/img/logo.svg" width="200rem" /></p> + +[](https://github.com/facebookincubator/flowtorch/actions?query=workflow%3A%22Python+package%22) + +Copyright © Meta Platforms, Inc + +This source code is licensed under the MIT license found in the +[LICENSE.txt](https://github.com/facebookincubator/flowtorch/blob/main/LICENSE.txt) file in the root directory of this source tree. + +# Overview + +FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called [Normalizing Flows](https://arxiv.org/abs/1908.09257). + +# Installing + +An easy way to get started is to install from source: + + git clone https://github.com/facebookincubator/flowtorch.git + cd flowtorch + pip install -e . + +# Further Information + +We refer you to the [FlowTorch website](https://flowtorch.ai) for more information about installation, using the library, and becoming a contributor. Here is a handy guide: + +* [What are normalizing flows?](https://flowtorch.ai/users) +* [How do I install FlowTorch?](https://flowtorch.ai/users/installation) +* [How do I construct and train a distribution?](https://flowtorch.ai/users/start) +* [How do I contribute new normalizing flow methods?](https://flowtorch.ai/dev) +* [Where can I report bugs?](https://github.com/facebookincubator/flowtorch/issues) +* [Where can I ask general questions and make feature requests?](https://github.com/facebookincubator/flowtorch/discussions) +* [What features are planned for the near future?](https://github.com/facebookincubator/flowtorch/projects) + + + + +%package -n python3-flowtorch +Summary: Normalizing Flows for PyTorch +Provides: python-flowtorch +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-flowtorch +<p align="center"><img src="https://github.com/facebookincubator/flowtorch/raw/main/website/static/img/logo.svg" width="200rem" /></p> + +[](https://github.com/facebookincubator/flowtorch/actions?query=workflow%3A%22Python+package%22) + +Copyright © Meta Platforms, Inc + +This source code is licensed under the MIT license found in the +[LICENSE.txt](https://github.com/facebookincubator/flowtorch/blob/main/LICENSE.txt) file in the root directory of this source tree. + +# Overview + +FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called [Normalizing Flows](https://arxiv.org/abs/1908.09257). + +# Installing + +An easy way to get started is to install from source: + + git clone https://github.com/facebookincubator/flowtorch.git + cd flowtorch + pip install -e . + +# Further Information + +We refer you to the [FlowTorch website](https://flowtorch.ai) for more information about installation, using the library, and becoming a contributor. Here is a handy guide: + +* [What are normalizing flows?](https://flowtorch.ai/users) +* [How do I install FlowTorch?](https://flowtorch.ai/users/installation) +* [How do I construct and train a distribution?](https://flowtorch.ai/users/start) +* [How do I contribute new normalizing flow methods?](https://flowtorch.ai/dev) +* [Where can I report bugs?](https://github.com/facebookincubator/flowtorch/issues) +* [Where can I ask general questions and make feature requests?](https://github.com/facebookincubator/flowtorch/discussions) +* [What features are planned for the near future?](https://github.com/facebookincubator/flowtorch/projects) + + + + +%package help +Summary: Development documents and examples for flowtorch +Provides: python3-flowtorch-doc +%description help +<p align="center"><img src="https://github.com/facebookincubator/flowtorch/raw/main/website/static/img/logo.svg" width="200rem" /></p> + +[](https://github.com/facebookincubator/flowtorch/actions?query=workflow%3A%22Python+package%22) + +Copyright © Meta Platforms, Inc + +This source code is licensed under the MIT license found in the +[LICENSE.txt](https://github.com/facebookincubator/flowtorch/blob/main/LICENSE.txt) file in the root directory of this source tree. + +# Overview + +FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called [Normalizing Flows](https://arxiv.org/abs/1908.09257). + +# Installing + +An easy way to get started is to install from source: + + git clone https://github.com/facebookincubator/flowtorch.git + cd flowtorch + pip install -e . + +# Further Information + +We refer you to the [FlowTorch website](https://flowtorch.ai) for more information about installation, using the library, and becoming a contributor. Here is a handy guide: + +* [What are normalizing flows?](https://flowtorch.ai/users) +* [How do I install FlowTorch?](https://flowtorch.ai/users/installation) +* [How do I construct and train a distribution?](https://flowtorch.ai/users/start) +* [How do I contribute new normalizing flow methods?](https://flowtorch.ai/dev) +* [Where can I report bugs?](https://github.com/facebookincubator/flowtorch/issues) +* [Where can I ask general questions and make feature requests?](https://github.com/facebookincubator/flowtorch/discussions) +* [What features are planned for the near future?](https://github.com/facebookincubator/flowtorch/projects) + + + + +%prep +%autosetup -n flowtorch-0.8 + +%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-flowtorch -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8-1 +- Package Spec generated |