automatic import of python-pyro-ppl

3 files changed, 415 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..07cedb4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/pyro-ppl-1.8.4.tar.gz
diff --git a/python-pyro-ppl.spec b/python-pyro-ppl.spec
new file mode 100644
index 0000000..238aec2
--- /dev/null
+++ b/python-pyro-ppl.spec
@@ -0,0 +1,413 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-pyro-ppl
+Version:	1.8.4
+Release:	1
+Summary:	A Python library for probabilistic modeling and inference
+License:	Apache 2.0
+URL:		http://pyro.ai
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/c0/af/f653e545519597d6c833136e88aae5d8bb81969cf83c6f3d2c34f0269456/pyro-ppl-1.8.4.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-opt-einsum
+Requires:	python3-pyro-api
+Requires:	python3-torch
+Requires:	python3-tqdm
+Requires:	python3-jupyter
+Requires:	python3-graphviz
+Requires:	python3-matplotlib
+Requires:	python3-torchvision
+Requires:	python3-visdom
+Requires:	python3-pandas
+Requires:	python3-pillow
+Requires:	python3-scikit-learn
+Requires:	python3-seaborn
+Requires:	python3-wget
+Requires:	python3-lap
+Requires:	python3-black
+Requires:	python3-flake8
+Requires:	python3-isort
+Requires:	python3-mypy
+Requires:	python3-nbformat
+Requires:	python3-nbsphinx
+Requires:	python3-nbstripout
+Requires:	python3-nbval
+Requires:	python3-ninja
+Requires:	python3-pypandoc
+Requires:	python3-pytest
+Requires:	python3-pytest-xdist
+Requires:	python3-scipy
+Requires:	python3-sphinx
+Requires:	python3-sphinx-rtd-theme
+Requires:	python3-yapf
+Requires:	python3-jupyter
+Requires:	python3-graphviz
+Requires:	python3-matplotlib
+Requires:	python3-torchvision
+Requires:	python3-visdom
+Requires:	python3-pandas
+Requires:	python3-pillow
+Requires:	python3-scikit-learn
+Requires:	python3-seaborn
+Requires:	python3-wget
+Requires:	python3-lap
+Requires:	python3-funsor[torch]
+Requires:	python3-horovod[pytorch]
+Requires:	python3-prettytable
+Requires:	python3-pytest-benchmark
+Requires:	python3-snakeviz
+Requires:	python3-jupyter
+Requires:	python3-graphviz
+Requires:	python3-matplotlib
+Requires:	python3-torchvision
+Requires:	python3-visdom
+Requires:	python3-pandas
+Requires:	python3-pillow
+Requires:	python3-scikit-learn
+Requires:	python3-seaborn
+Requires:	python3-wget
+Requires:	python3-lap
+Requires:	python3-black
+Requires:	python3-flake8
+Requires:	python3-nbval
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-scipy
+
+%description
+[Getting Started](http://pyro.ai/examples) |
+[Documentation](http://docs.pyro.ai/) |
+[Community](http://forum.pyro.ai/) |
+[Contributing](https://github.com/pyro-ppl/pyro/blob/master/CONTRIBUTING.md)
+
+Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch.  Notably, it was designed with these principles in mind:
+
+- **Universal**: Pyro is a universal PPL - it can represent any computable probability distribution.
+- **Scalable**: Pyro scales to large data sets with little overhead compared to hand-written code.
+- **Minimal**: Pyro is agile and maintainable. It is implemented with a small core of powerful, composable abstractions.
+- **Flexible**: Pyro aims for automation when you want it, control when you need it. This is accomplished through high-level abstractions to express generative and inference models, while allowing experts easy-access to customize inference.
+
+Pyro was originally developed at Uber AI and is now actively maintained by community contributors, including a dedicated team at the [Broad Institute](https://www.broadinstitute.org/).
+In 2019, Pyro [became](https://www.linuxfoundation.org/press-release/2019/02/pyro-probabilistic-programming-language-becomes-newest-lf-deep-learning-project/) a project of the Linux Foundation, a neutral space for collaboration on open source software, open standards, open data, and open hardware.
+
+For more information about the high level motivation for Pyro, check out our [launch blog post](http://eng.uber.com/pyro).
+For additional blog posts, check out work on [experimental design](https://eng.uber.com/oed-pyro-release/) and
+[time-to-event modeling](https://eng.uber.com/modeling-censored-time-to-event-data-using-pyro/) in Pyro.
+
+## Installing
+
+### Installing a stable Pyro release
+
+**Install using pip:**
+```sh
+pip install pyro-ppl
+```
+
+**Install from source:**
+```sh
+git clone git@github.com:pyro-ppl/pyro.git
+cd pyro
+git checkout master  # master is pinned to the latest release
+pip install .
+```
+
+**Install with extra packages:**
+
+To install the dependencies required to run the probabilistic models included in the `examples`/`tutorials` directories, please use the following command:
+```sh
+pip install pyro-ppl[extras] 
+```
+Make sure that the models come from the same release version of the [Pyro source code](https://github.com/pyro-ppl/pyro/releases) as you have installed.
+
+### Installing Pyro dev branch
+
+For recent features you can install Pyro from source.
+
+**Install Pyro using pip:**
+
+```sh
+pip install git+https://github.com/pyro-ppl/pyro.git
+```
+or, with the `extras` dependency to run the probabilistic models included in the `examples`/`tutorials` directories:
+```sh
+pip install git+https://github.com/pyro-ppl/pyro.git#egg=project[extras]
+```
+
+**Install Pyro from source:**
+
+```sh
+git clone https://github.com/pyro-ppl/pyro
+cd pyro
+pip install .  # pip install .[extras] for running models in examples/tutorials
+```
+
+## Running Pyro from a Docker Container
+
+Refer to the instructions [here](docker/README.md).
+
+## Citation
+If you use Pyro, please consider citing:
+```
+@article{bingham2019pyro,
+  author    = {Eli Bingham and
+               Jonathan P. Chen and
+               Martin Jankowiak and
+               Fritz Obermeyer and
+               Neeraj Pradhan and
+               Theofanis Karaletsos and
+               Rohit Singh and
+               Paul A. Szerlip and
+               Paul Horsfall and
+               Noah D. Goodman},
+  title     = {Pyro: Deep Universal Probabilistic Programming},
+  journal   = {J. Mach. Learn. Res.},
+  volume    = {20},
+  pages     = {28:1--28:6},
+  year      = {2019},
+  url       = {http://jmlr.org/papers/v20/18-403.html}
+}
+```
+
+
+%package -n python3-pyro-ppl
+Summary:	A Python library for probabilistic modeling and inference
+Provides:	python-pyro-ppl
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pyro-ppl
+[Getting Started](http://pyro.ai/examples) |
+[Documentation](http://docs.pyro.ai/) |
+[Community](http://forum.pyro.ai/) |
+[Contributing](https://github.com/pyro-ppl/pyro/blob/master/CONTRIBUTING.md)
+
+Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch.  Notably, it was designed with these principles in mind:
+
+- **Universal**: Pyro is a universal PPL - it can represent any computable probability distribution.
+- **Scalable**: Pyro scales to large data sets with little overhead compared to hand-written code.
+- **Minimal**: Pyro is agile and maintainable. It is implemented with a small core of powerful, composable abstractions.
+- **Flexible**: Pyro aims for automation when you want it, control when you need it. This is accomplished through high-level abstractions to express generative and inference models, while allowing experts easy-access to customize inference.
+
+Pyro was originally developed at Uber AI and is now actively maintained by community contributors, including a dedicated team at the [Broad Institute](https://www.broadinstitute.org/).
+In 2019, Pyro [became](https://www.linuxfoundation.org/press-release/2019/02/pyro-probabilistic-programming-language-becomes-newest-lf-deep-learning-project/) a project of the Linux Foundation, a neutral space for collaboration on open source software, open standards, open data, and open hardware.
+
+For more information about the high level motivation for Pyro, check out our [launch blog post](http://eng.uber.com/pyro).
+For additional blog posts, check out work on [experimental design](https://eng.uber.com/oed-pyro-release/) and
+[time-to-event modeling](https://eng.uber.com/modeling-censored-time-to-event-data-using-pyro/) in Pyro.
+
+## Installing
+
+### Installing a stable Pyro release
+
+**Install using pip:**
+```sh
+pip install pyro-ppl
+```
+
+**Install from source:**
+```sh
+git clone git@github.com:pyro-ppl/pyro.git
+cd pyro
+git checkout master  # master is pinned to the latest release
+pip install .
+```
+
+**Install with extra packages:**
+
+To install the dependencies required to run the probabilistic models included in the `examples`/`tutorials` directories, please use the following command:
+```sh
+pip install pyro-ppl[extras] 
+```
+Make sure that the models come from the same release version of the [Pyro source code](https://github.com/pyro-ppl/pyro/releases) as you have installed.
+
+### Installing Pyro dev branch
+
+For recent features you can install Pyro from source.
+
+**Install Pyro using pip:**
+
+```sh
+pip install git+https://github.com/pyro-ppl/pyro.git
+```
+or, with the `extras` dependency to run the probabilistic models included in the `examples`/`tutorials` directories:
+```sh
+pip install git+https://github.com/pyro-ppl/pyro.git#egg=project[extras]
+```
+
+**Install Pyro from source:**
+
+```sh
+git clone https://github.com/pyro-ppl/pyro
+cd pyro
+pip install .  # pip install .[extras] for running models in examples/tutorials
+```
+
+## Running Pyro from a Docker Container
+
+Refer to the instructions [here](docker/README.md).
+
+## Citation
+If you use Pyro, please consider citing:
+```
+@article{bingham2019pyro,
+  author    = {Eli Bingham and
+               Jonathan P. Chen and
+               Martin Jankowiak and
+               Fritz Obermeyer and
+               Neeraj Pradhan and
+               Theofanis Karaletsos and
+               Rohit Singh and
+               Paul A. Szerlip and
+               Paul Horsfall and
+               Noah D. Goodman},
+  title     = {Pyro: Deep Universal Probabilistic Programming},
+  journal   = {J. Mach. Learn. Res.},
+  volume    = {20},
+  pages     = {28:1--28:6},
+  year      = {2019},
+  url       = {http://jmlr.org/papers/v20/18-403.html}
+}
+```
+
+
+%package help
+Summary:	Development documents and examples for pyro-ppl
+Provides:	python3-pyro-ppl-doc
+%description help
+[Getting Started](http://pyro.ai/examples) |
+[Documentation](http://docs.pyro.ai/) |
+[Community](http://forum.pyro.ai/) |
+[Contributing](https://github.com/pyro-ppl/pyro/blob/master/CONTRIBUTING.md)
+
+Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch.  Notably, it was designed with these principles in mind:
+
+- **Universal**: Pyro is a universal PPL - it can represent any computable probability distribution.
+- **Scalable**: Pyro scales to large data sets with little overhead compared to hand-written code.
+- **Minimal**: Pyro is agile and maintainable. It is implemented with a small core of powerful, composable abstractions.
+- **Flexible**: Pyro aims for automation when you want it, control when you need it. This is accomplished through high-level abstractions to express generative and inference models, while allowing experts easy-access to customize inference.
+
+Pyro was originally developed at Uber AI and is now actively maintained by community contributors, including a dedicated team at the [Broad Institute](https://www.broadinstitute.org/).
+In 2019, Pyro [became](https://www.linuxfoundation.org/press-release/2019/02/pyro-probabilistic-programming-language-becomes-newest-lf-deep-learning-project/) a project of the Linux Foundation, a neutral space for collaboration on open source software, open standards, open data, and open hardware.
+
+For more information about the high level motivation for Pyro, check out our [launch blog post](http://eng.uber.com/pyro).
+For additional blog posts, check out work on [experimental design](https://eng.uber.com/oed-pyro-release/) and
+[time-to-event modeling](https://eng.uber.com/modeling-censored-time-to-event-data-using-pyro/) in Pyro.
+
+## Installing
+
+### Installing a stable Pyro release
+
+**Install using pip:**
+```sh
+pip install pyro-ppl
+```
+
+**Install from source:**
+```sh
+git clone git@github.com:pyro-ppl/pyro.git
+cd pyro
+git checkout master  # master is pinned to the latest release
+pip install .
+```
+
+**Install with extra packages:**
+
+To install the dependencies required to run the probabilistic models included in the `examples`/`tutorials` directories, please use the following command:
+```sh
+pip install pyro-ppl[extras] 
+```
+Make sure that the models come from the same release version of the [Pyro source code](https://github.com/pyro-ppl/pyro/releases) as you have installed.
+
+### Installing Pyro dev branch
+
+For recent features you can install Pyro from source.
+
+**Install Pyro using pip:**
+
+```sh
+pip install git+https://github.com/pyro-ppl/pyro.git
+```
+or, with the `extras` dependency to run the probabilistic models included in the `examples`/`tutorials` directories:
+```sh
+pip install git+https://github.com/pyro-ppl/pyro.git#egg=project[extras]
+```
+
+**Install Pyro from source:**
+
+```sh
+git clone https://github.com/pyro-ppl/pyro
+cd pyro
+pip install .  # pip install .[extras] for running models in examples/tutorials
+```
+
+## Running Pyro from a Docker Container
+
+Refer to the instructions [here](docker/README.md).
+
+## Citation
+If you use Pyro, please consider citing:
+```
+@article{bingham2019pyro,
+  author    = {Eli Bingham and
+               Jonathan P. Chen and
+               Martin Jankowiak and
+               Fritz Obermeyer and
+               Neeraj Pradhan and
+               Theofanis Karaletsos and
+               Rohit Singh and
+               Paul A. Szerlip and
+               Paul Horsfall and
+               Noah D. Goodman},
+  title     = {Pyro: Deep Universal Probabilistic Programming},
+  journal   = {J. Mach. Learn. Res.},
+  volume    = {20},
+  pages     = {28:1--28:6},
+  year      = {2019},
+  url       = {http://jmlr.org/papers/v20/18-403.html}
+}
+```
+
+
+%prep
+%autosetup -n pyro-ppl-1.8.4
+
+%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-pyro-ppl -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.8.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..b200863
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+c58d9b22e44f4d0d0e1a925fd7a24cdc  pyro-ppl-1.8.4.tar.gz