%global _empty_manifest_terminate_build 0 Name: python-exoplanet Version: 0.5.3 Release: 1 Summary: Fast and scalable MCMC for all your exoplanet needs License: MIT URL: https://docs.exoplanet.codes Source0: https://mirrors.aliyun.com/pypi/web/packages/3f/5b/7035a5d4a4154eb5fb0ec494da1843b727393652771fcf1ea904bead5a8f/exoplanet-0.5.3.tar.gz BuildArch: noarch Requires: python3-exoplanet-core Requires: python3-pymc3 Requires: python3-aesara-theano-fallback Requires: python3-astropy Requires: python3-numpy Requires: python3-sphinx-book-theme Requires: python3-myst-nb Requires: python3-matplotlib Requires: python3-corner Requires: python3-lightkurve Requires: python3-pymc3-ext Requires: python3-emcee Requires: python3-pymc3-ext Requires: python3-celerite2 Requires: python3-scipy Requires: python3-pytest Requires: python3-coverage[toml] Requires: python3-pytest-env %description
# exoplanet Fast & scalable MCMC for all your exoplanet needs! _exoplanet_ is a toolkit for probabilistic modeling of time series data in astronomy with a focus on observations of [exoplanets](https://en.wikipedia.org/wiki/Exoplanet), using [PyMC3](https://docs.pymc.io). _PyMC3_ is a flexible and high-performance model building language and inference engine that scales well to problems with a large number of parameters. _exoplanet_ extends _PyMC3_'s language to support many of the custom functions and distributions required when fitting exoplanet datasets. Read the full documentation at [docs.exoplanet.codes](https://docs.exoplanet.codes). ## Installation The quickest way to get started is to use [pip](https://pip.pypa.io): ```bash python -m pip install exoplanet ``` Note that you will need Python (>=3.6) installed for this to work, but then this will install all the required dependencies. Check out the [main installation documentation page](https://docs.exoplanet.codes/en/latest/user/install/) for more options. ## Usage Check out the tutorials and API docs on [the docs page](https://docs.exoplanet.codes) for example usage and much more info. You can also find more in-depth examples on the [exoplanet case studies page](https://gallery.exoplanet.codes). ## Contributing _exoplanet_ is an open source project and we would love it if you wanted to contribute. Check out [the developer documentation](https://docs.exoplanet.codes/en/latest/user/dev/) for more info about getting started. %package -n python3-exoplanet Summary: Fast and scalable MCMC for all your exoplanet needs Provides: python-exoplanet BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-exoplanet # exoplanet Fast & scalable MCMC for all your exoplanet needs! _exoplanet_ is a toolkit for probabilistic modeling of time series data in astronomy with a focus on observations of [exoplanets](https://en.wikipedia.org/wiki/Exoplanet), using [PyMC3](https://docs.pymc.io). _PyMC3_ is a flexible and high-performance model building language and inference engine that scales well to problems with a large number of parameters. _exoplanet_ extends _PyMC3_'s language to support many of the custom functions and distributions required when fitting exoplanet datasets. Read the full documentation at [docs.exoplanet.codes](https://docs.exoplanet.codes). ## Installation The quickest way to get started is to use [pip](https://pip.pypa.io): ```bash python -m pip install exoplanet ``` Note that you will need Python (>=3.6) installed for this to work, but then this will install all the required dependencies. Check out the [main installation documentation page](https://docs.exoplanet.codes/en/latest/user/install/) for more options. ## Usage Check out the tutorials and API docs on [the docs page](https://docs.exoplanet.codes) for example usage and much more info. You can also find more in-depth examples on the [exoplanet case studies page](https://gallery.exoplanet.codes). ## Contributing _exoplanet_ is an open source project and we would love it if you wanted to contribute. Check out [the developer documentation](https://docs.exoplanet.codes/en/latest/user/dev/) for more info about getting started. %package help Summary: Development documents and examples for exoplanet Provides: python3-exoplanet-doc %description help # exoplanet Fast & scalable MCMC for all your exoplanet needs! _exoplanet_ is a toolkit for probabilistic modeling of time series data in astronomy with a focus on observations of [exoplanets](https://en.wikipedia.org/wiki/Exoplanet), using [PyMC3](https://docs.pymc.io). _PyMC3_ is a flexible and high-performance model building language and inference engine that scales well to problems with a large number of parameters. _exoplanet_ extends _PyMC3_'s language to support many of the custom functions and distributions required when fitting exoplanet datasets. Read the full documentation at [docs.exoplanet.codes](https://docs.exoplanet.codes). ## Installation The quickest way to get started is to use [pip](https://pip.pypa.io): ```bash python -m pip install exoplanet ``` Note that you will need Python (>=3.6) installed for this to work, but then this will install all the required dependencies. Check out the [main installation documentation page](https://docs.exoplanet.codes/en/latest/user/install/) for more options. ## Usage Check out the tutorials and API docs on [the docs page](https://docs.exoplanet.codes) for example usage and much more info. You can also find more in-depth examples on the [exoplanet case studies page](https://gallery.exoplanet.codes). ## Contributing _exoplanet_ is an open source project and we would love it if you wanted to contribute. Check out [the developer documentation](https://docs.exoplanet.codes/en/latest/user/dev/) for more info about getting started. %prep %autosetup -n exoplanet-0.5.3 %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-exoplanet -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Jun 08 2023 Python_Bot