From 2be368562edd38f6d85f55e6711deaaa4c0188d7 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Wed, 12 Apr 2023 00:37:03 +0000 Subject: automatic import of python-dynesty --- .gitignore | 1 + python-dynesty.spec | 156 ++++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 158 insertions(+) create mode 100644 python-dynesty.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..9a0b76f 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/dynesty-2.1.0.tar.gz diff --git a/python-dynesty.spec b/python-dynesty.spec new file mode 100644 index 0000000..0dfd460 --- /dev/null +++ b/python-dynesty.spec @@ -0,0 +1,156 @@ +%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 - 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 -- cgit v1.2.3