automatic import of python-flowtorch

3 files changed, 191 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/flowtorch-0.8.tar.gz
diff --git a/python-flowtorch.spec b/python-flowtorch.spec
new file mode 100644
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+%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/workflows/Python%20package/badge.svg)](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/workflows/Python%20package/badge.svg)](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/workflows/Python%20package/badge.svg)](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
diff --git a/sources b/sources
new file mode 100644
index 0000000..01c30c5
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+11304f48f505ab45d2c3fb70b8a53667  flowtorch-0.8.tar.gz