automatic import of python-dynesty

3 files changed, 158 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/dynesty-2.1.0.tar.gz
diff --git a/python-dynesty.spec b/python-dynesty.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-dynesty
+Version:	2.1.0
+Release:	1
+Summary:	A dynamic nested sampling package for computing Bayesian posteriors and evidences.
+License:	MIT
+URL:		https://github.com/joshspeagle/dynesty
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/a8/6f/c4d4a7840fa60054e3156ee4985c6566ae0069afdeca1f12ec24cb0f5ed2/dynesty-2.1.0.tar.gz
+BuildArch:	noarch
+
+
+%description
+![dynesty in action](https://github.com/joshspeagle/dynesty/blob/master/docs/images/title.gif)
+A Dynamic Nested Sampling package for computing Bayesian posteriors and
+evidences. Pure Python. MIT license.
+### Documentation
+Documentation can be found [here](https://dynesty.readthedocs.io).
+### Installation
+The most stable release of `dynesty` can be installed
+through [pip](https://pip.pypa.io/en/stable) via
+```
+pip install dynesty
+```
+The current (less stable) development version can be installed by running
+```
+python setup.py install
+```
+from inside the repository.
+### Demos
+Several Jupyter notebooks that demonstrate most of the available features
+of the code can be found 
+[here](https://github.com/joshspeagle/dynesty/tree/master/demos).
+### Attribution
+If you find the package useful in your research, please cite at least *both* of these references:
+* The original paper [Speagle (2020)](https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S/abstract)
+* The python implementation [Koposov et al. (2023)](https://doi.org/10.5281/zenodo.3348367) (the citation info is at the bottom of the page on the right)
+and ideally also papers describing the underlying methods (see the [documentation](https://dynesty.readthedocs.io/en/latest/references.html) for more details)
+### Reporting issues
+If you want to report issues, or have questions, please do that on [github](https://github.com/joshspeagle/dynesty/issues).
+### Contributing
+Patches and contributions are very welcome! Please see [CONTRIBUTING.md](https://github.com/joshspeagle/dynesty/blob/master/CONTRIBUTING.md) for more details.
+
+%package -n python3-dynesty
+Summary:	A dynamic nested sampling package for computing Bayesian posteriors and evidences.
+Provides:	python-dynesty
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-dynesty
+![dynesty in action](https://github.com/joshspeagle/dynesty/blob/master/docs/images/title.gif)
+A Dynamic Nested Sampling package for computing Bayesian posteriors and
+evidences. Pure Python. MIT license.
+### Documentation
+Documentation can be found [here](https://dynesty.readthedocs.io).
+### Installation
+The most stable release of `dynesty` can be installed
+through [pip](https://pip.pypa.io/en/stable) via
+```
+pip install dynesty
+```
+The current (less stable) development version can be installed by running
+```
+python setup.py install
+```
+from inside the repository.
+### Demos
+Several Jupyter notebooks that demonstrate most of the available features
+of the code can be found 
+[here](https://github.com/joshspeagle/dynesty/tree/master/demos).
+### Attribution
+If you find the package useful in your research, please cite at least *both* of these references:
+* The original paper [Speagle (2020)](https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S/abstract)
+* The python implementation [Koposov et al. (2023)](https://doi.org/10.5281/zenodo.3348367) (the citation info is at the bottom of the page on the right)
+and ideally also papers describing the underlying methods (see the [documentation](https://dynesty.readthedocs.io/en/latest/references.html) for more details)
+### Reporting issues
+If you want to report issues, or have questions, please do that on [github](https://github.com/joshspeagle/dynesty/issues).
+### Contributing
+Patches and contributions are very welcome! Please see [CONTRIBUTING.md](https://github.com/joshspeagle/dynesty/blob/master/CONTRIBUTING.md) for more details.
+
+%package help
+Summary:	Development documents and examples for dynesty
+Provides:	python3-dynesty-doc
+%description help
+![dynesty in action](https://github.com/joshspeagle/dynesty/blob/master/docs/images/title.gif)
+A Dynamic Nested Sampling package for computing Bayesian posteriors and
+evidences. Pure Python. MIT license.
+### Documentation
+Documentation can be found [here](https://dynesty.readthedocs.io).
+### Installation
+The most stable release of `dynesty` can be installed
+through [pip](https://pip.pypa.io/en/stable) via
+```
+pip install dynesty
+```
+The current (less stable) development version can be installed by running
+```
+python setup.py install
+```
+from inside the repository.
+### Demos
+Several Jupyter notebooks that demonstrate most of the available features
+of the code can be found 
+[here](https://github.com/joshspeagle/dynesty/tree/master/demos).
+### Attribution
+If you find the package useful in your research, please cite at least *both* of these references:
+* The original paper [Speagle (2020)](https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S/abstract)
+* The python implementation [Koposov et al. (2023)](https://doi.org/10.5281/zenodo.3348367) (the citation info is at the bottom of the page on the right)
+and ideally also papers describing the underlying methods (see the [documentation](https://dynesty.readthedocs.io/en/latest/references.html) for more details)
+### Reporting issues
+If you want to report issues, or have questions, please do that on [github](https://github.com/joshspeagle/dynesty/issues).
+### Contributing
+Patches and contributions are very welcome! Please see [CONTRIBUTING.md](https://github.com/joshspeagle/dynesty/blob/master/CONTRIBUTING.md) for more details.
+
+%prep
+%autosetup -n dynesty-2.1.0
+
+%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-dynesty -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 2.1.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..4045e0a
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+a94d23d845306b09b4050656c002108d  dynesty-2.1.0.tar.gz