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|
%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.nju.edu.cn/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
<p align="center">
<img width="240" src="https://raw.githubusercontent.com/exoplanet-dev/exoplanet/main/docs/_static/logo.png">
<br><br>
<a href="https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml">
<img src="https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml/badge.svg" alt="Tests">
</a>
<a href="https://docs.exoplanet.codes">
<img src="https://readthedocs.org/projects/exoplanet/badge/?version=latest" alt="Docs">
</a>
<a href="https://coveralls.io/github/exoplanet-dev/exoplanet?branch=main">
<img src="https://coveralls.io/repos/github/exoplanet-dev/exoplanet/badge.svg?branch=main" alt="Coverage">
</a>
</p>
# 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
<p align="center">
<img width="240" src="https://raw.githubusercontent.com/exoplanet-dev/exoplanet/main/docs/_static/logo.png">
<br><br>
<a href="https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml">
<img src="https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml/badge.svg" alt="Tests">
</a>
<a href="https://docs.exoplanet.codes">
<img src="https://readthedocs.org/projects/exoplanet/badge/?version=latest" alt="Docs">
</a>
<a href="https://coveralls.io/github/exoplanet-dev/exoplanet?branch=main">
<img src="https://coveralls.io/repos/github/exoplanet-dev/exoplanet/badge.svg?branch=main" alt="Coverage">
</a>
</p>
# 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
<p align="center">
<img width="240" src="https://raw.githubusercontent.com/exoplanet-dev/exoplanet/main/docs/_static/logo.png">
<br><br>
<a href="https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml">
<img src="https://github.com/exoplanet-dev/exoplanet/actions/workflows/tests.yml/badge.svg" alt="Tests">
</a>
<a href="https://docs.exoplanet.codes">
<img src="https://readthedocs.org/projects/exoplanet/badge/?version=latest" alt="Docs">
</a>
<a href="https://coveralls.io/github/exoplanet-dev/exoplanet?branch=main">
<img src="https://coveralls.io/repos/github/exoplanet-dev/exoplanet/badge.svg?branch=main" alt="Coverage">
</a>
</p>
# 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
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.3-1
- Package Spec generated
|
