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|
%global _empty_manifest_terminate_build 0
Name: python-legwork
Version: 0.4.6
Release: 1
Summary: A python package to compute gravitational wave evolution and signal to noise ratio calculations for LISA
License: MIT
URL: https://github.com/TeamLEGWORK/LEGWORK
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/08/0f/8fe43141ac82bb0e78818e59298f261c2ed89528b159e2b540b1faebaa8d/legwork-0.4.6.tar.gz
BuildArch: noarch
Requires: python3-numba
Requires: python3-numpy
Requires: python3-astropy
Requires: python3-scipy
Requires: python3-matplotlib
Requires: python3-seaborn
Requires: python3-schwimmbad
Requires: python3-sphinx
Requires: python3-matplotlib
Requires: python3-pytest
%description
<p align="center">
<img width="500", src="https://raw.githubusercontent.com/TeamLEGWORK/LEGWORK/main/docs/images/legwork.png#gh-light-mode-only">
<img width="500", src="https://raw.githubusercontent.com/TeamLEGWORK/LEGWORK/main/docs/images/legwork_darkmode.png#gh-dark-mode-only">
</p>
<h2 align="center">
The <b>L</b>ISA <b>E</b>volution and <b>G</b>ravitational <b>W</b>ave <b>OR</b>bit <b>K</b>it
<br>
<a href="https://github.com/TeamLEGWORK/LEGWORK-paper">
<img src="https://img.shields.io/badge/release paper-repo-blue.svg?style=flat&logo=GitHub" alt="Read the article"/>
</a>
<a href="https://codecov.io/gh/TeamLEGWORK/LEGWORK">
<img src="https://codecov.io/gh/TeamLEGWORK/LEGWORK/branch/main/graph/badge.svg?token=FUG4RFYCWX"/>
</a>
<a href='https://legwork.readthedocs.io/en/latest/?badge=latest'>
<img src='https://readthedocs.org/projects/legwork/badge/?version=latest' alt='Documentation Status' />
</a>
<a href="https://ascl.net/2111.007">
<img src="https://img.shields.io/badge/ascl-2111.007-blue.svg?colorB=262255" alt="ascl:2111.007" />
</a>
<a href="mailto:tomjwagg@gmail.com?cc=kbreivik@flatironinstitute.org">
<img src="https://img.shields.io/badge/contact-authors-blueviolet.svg?style=flat" alt="Email the authors"/>
</a>
</h2>
<p align="center">
A python package that does the <code>LEGWORK</code> for you by evolving binaries,
computing signal-to-noise ratios for binary systems potentially observable with LISA
and visualising the results.
</p>
### Installation
Put simply? `pip install legwork`! But we recommend creating a conda environment first to ensure everything goes smoothly! Check out the installation instructions [here](https://legwork.readthedocs.io/en/latest/install.html) to learn exactly how to install LEGWORK
LEGWORK has a couple of dependencies: `numpy`, `astropy`, `numba`, `scipy`, `schwimmbad`, `matplotlib` and `seaborn` (see [requirements.txt](requirements.txt) for the exact version requirements). These will be installed automatically if you follow the installation instructions!
### Documentation
All documentation related to LEGWORK can be found [at this link](https://legwork.readthedocs.io/en/latest/)
### Other quick links
- [Quickstart](https://legwork.readthedocs.io/en/latest/notebooks/Quickstart.html) - New to LEGWORK? Try out our quickstart tutorial!
- [Tutorials](https://legwork.readthedocs.io/en/latest/tutorials.html) - Learn more about what you can do with LEGWORK with our tutorials!
- [Citing LEGWORK](https://legwork.readthedocs.io/en/latest/cite.html) - If you're using LEGWORK for a scientific publication please follow the link for citation intstructions
- [Demos](https://legwork.readthedocs.io/en/latest/demos.html) - Want to see what LEGWORK is capable of? Check out our demos!
- [API reference](https://legwork.readthedocs.io/en/latest/modules.html) - Wondering how you should use a particular function? Go take a look at our full API reference!
- [Feature requests](https://github.com/TeamLEGWORK/LEGWORK/issues/new) - Do you have an idea for adding something to LEGWORK? Create an issue [here](https://github.com/TeamLEGWORK/LEGWORK/issues/new) and let us know! Or, even better, make the change yourself and create a [pull request](https://github.com/TeamLEGWORK/LEGWORK/pulls)!
- [Bug reporting](https://github.com/TeamLEGWORK/LEGWORK/issues/new) - If you see a bug we would love to know about it! Please create an issue [here](https://github.com/TeamLEGWORK/LEGWORK/issues/new)!
- [Release paper](https://arxiv.org/abs/2111.08717) - The LEGWORK release paper is now on the ArXiv and you can also view it directly [in GitHub](https://github.com/TeamLEGWORK/LEGWORK-paper) if you prefer!
%package -n python3-legwork
Summary: A python package to compute gravitational wave evolution and signal to noise ratio calculations for LISA
Provides: python-legwork
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-legwork
<p align="center">
<img width="500", src="https://raw.githubusercontent.com/TeamLEGWORK/LEGWORK/main/docs/images/legwork.png#gh-light-mode-only">
<img width="500", src="https://raw.githubusercontent.com/TeamLEGWORK/LEGWORK/main/docs/images/legwork_darkmode.png#gh-dark-mode-only">
</p>
<h2 align="center">
The <b>L</b>ISA <b>E</b>volution and <b>G</b>ravitational <b>W</b>ave <b>OR</b>bit <b>K</b>it
<br>
<a href="https://github.com/TeamLEGWORK/LEGWORK-paper">
<img src="https://img.shields.io/badge/release paper-repo-blue.svg?style=flat&logo=GitHub" alt="Read the article"/>
</a>
<a href="https://codecov.io/gh/TeamLEGWORK/LEGWORK">
<img src="https://codecov.io/gh/TeamLEGWORK/LEGWORK/branch/main/graph/badge.svg?token=FUG4RFYCWX"/>
</a>
<a href='https://legwork.readthedocs.io/en/latest/?badge=latest'>
<img src='https://readthedocs.org/projects/legwork/badge/?version=latest' alt='Documentation Status' />
</a>
<a href="https://ascl.net/2111.007">
<img src="https://img.shields.io/badge/ascl-2111.007-blue.svg?colorB=262255" alt="ascl:2111.007" />
</a>
<a href="mailto:tomjwagg@gmail.com?cc=kbreivik@flatironinstitute.org">
<img src="https://img.shields.io/badge/contact-authors-blueviolet.svg?style=flat" alt="Email the authors"/>
</a>
</h2>
<p align="center">
A python package that does the <code>LEGWORK</code> for you by evolving binaries,
computing signal-to-noise ratios for binary systems potentially observable with LISA
and visualising the results.
</p>
### Installation
Put simply? `pip install legwork`! But we recommend creating a conda environment first to ensure everything goes smoothly! Check out the installation instructions [here](https://legwork.readthedocs.io/en/latest/install.html) to learn exactly how to install LEGWORK
LEGWORK has a couple of dependencies: `numpy`, `astropy`, `numba`, `scipy`, `schwimmbad`, `matplotlib` and `seaborn` (see [requirements.txt](requirements.txt) for the exact version requirements). These will be installed automatically if you follow the installation instructions!
### Documentation
All documentation related to LEGWORK can be found [at this link](https://legwork.readthedocs.io/en/latest/)
### Other quick links
- [Quickstart](https://legwork.readthedocs.io/en/latest/notebooks/Quickstart.html) - New to LEGWORK? Try out our quickstart tutorial!
- [Tutorials](https://legwork.readthedocs.io/en/latest/tutorials.html) - Learn more about what you can do with LEGWORK with our tutorials!
- [Citing LEGWORK](https://legwork.readthedocs.io/en/latest/cite.html) - If you're using LEGWORK for a scientific publication please follow the link for citation intstructions
- [Demos](https://legwork.readthedocs.io/en/latest/demos.html) - Want to see what LEGWORK is capable of? Check out our demos!
- [API reference](https://legwork.readthedocs.io/en/latest/modules.html) - Wondering how you should use a particular function? Go take a look at our full API reference!
- [Feature requests](https://github.com/TeamLEGWORK/LEGWORK/issues/new) - Do you have an idea for adding something to LEGWORK? Create an issue [here](https://github.com/TeamLEGWORK/LEGWORK/issues/new) and let us know! Or, even better, make the change yourself and create a [pull request](https://github.com/TeamLEGWORK/LEGWORK/pulls)!
- [Bug reporting](https://github.com/TeamLEGWORK/LEGWORK/issues/new) - If you see a bug we would love to know about it! Please create an issue [here](https://github.com/TeamLEGWORK/LEGWORK/issues/new)!
- [Release paper](https://arxiv.org/abs/2111.08717) - The LEGWORK release paper is now on the ArXiv and you can also view it directly [in GitHub](https://github.com/TeamLEGWORK/LEGWORK-paper) if you prefer!
%package help
Summary: Development documents and examples for legwork
Provides: python3-legwork-doc
%description help
<p align="center">
<img width="500", src="https://raw.githubusercontent.com/TeamLEGWORK/LEGWORK/main/docs/images/legwork.png#gh-light-mode-only">
<img width="500", src="https://raw.githubusercontent.com/TeamLEGWORK/LEGWORK/main/docs/images/legwork_darkmode.png#gh-dark-mode-only">
</p>
<h2 align="center">
The <b>L</b>ISA <b>E</b>volution and <b>G</b>ravitational <b>W</b>ave <b>OR</b>bit <b>K</b>it
<br>
<a href="https://github.com/TeamLEGWORK/LEGWORK-paper">
<img src="https://img.shields.io/badge/release paper-repo-blue.svg?style=flat&logo=GitHub" alt="Read the article"/>
</a>
<a href="https://codecov.io/gh/TeamLEGWORK/LEGWORK">
<img src="https://codecov.io/gh/TeamLEGWORK/LEGWORK/branch/main/graph/badge.svg?token=FUG4RFYCWX"/>
</a>
<a href='https://legwork.readthedocs.io/en/latest/?badge=latest'>
<img src='https://readthedocs.org/projects/legwork/badge/?version=latest' alt='Documentation Status' />
</a>
<a href="https://ascl.net/2111.007">
<img src="https://img.shields.io/badge/ascl-2111.007-blue.svg?colorB=262255" alt="ascl:2111.007" />
</a>
<a href="mailto:tomjwagg@gmail.com?cc=kbreivik@flatironinstitute.org">
<img src="https://img.shields.io/badge/contact-authors-blueviolet.svg?style=flat" alt="Email the authors"/>
</a>
</h2>
<p align="center">
A python package that does the <code>LEGWORK</code> for you by evolving binaries,
computing signal-to-noise ratios for binary systems potentially observable with LISA
and visualising the results.
</p>
### Installation
Put simply? `pip install legwork`! But we recommend creating a conda environment first to ensure everything goes smoothly! Check out the installation instructions [here](https://legwork.readthedocs.io/en/latest/install.html) to learn exactly how to install LEGWORK
LEGWORK has a couple of dependencies: `numpy`, `astropy`, `numba`, `scipy`, `schwimmbad`, `matplotlib` and `seaborn` (see [requirements.txt](requirements.txt) for the exact version requirements). These will be installed automatically if you follow the installation instructions!
### Documentation
All documentation related to LEGWORK can be found [at this link](https://legwork.readthedocs.io/en/latest/)
### Other quick links
- [Quickstart](https://legwork.readthedocs.io/en/latest/notebooks/Quickstart.html) - New to LEGWORK? Try out our quickstart tutorial!
- [Tutorials](https://legwork.readthedocs.io/en/latest/tutorials.html) - Learn more about what you can do with LEGWORK with our tutorials!
- [Citing LEGWORK](https://legwork.readthedocs.io/en/latest/cite.html) - If you're using LEGWORK for a scientific publication please follow the link for citation intstructions
- [Demos](https://legwork.readthedocs.io/en/latest/demos.html) - Want to see what LEGWORK is capable of? Check out our demos!
- [API reference](https://legwork.readthedocs.io/en/latest/modules.html) - Wondering how you should use a particular function? Go take a look at our full API reference!
- [Feature requests](https://github.com/TeamLEGWORK/LEGWORK/issues/new) - Do you have an idea for adding something to LEGWORK? Create an issue [here](https://github.com/TeamLEGWORK/LEGWORK/issues/new) and let us know! Or, even better, make the change yourself and create a [pull request](https://github.com/TeamLEGWORK/LEGWORK/pulls)!
- [Bug reporting](https://github.com/TeamLEGWORK/LEGWORK/issues/new) - If you see a bug we would love to know about it! Please create an issue [here](https://github.com/TeamLEGWORK/LEGWORK/issues/new)!
- [Release paper](https://arxiv.org/abs/2111.08717) - The LEGWORK release paper is now on the ArXiv and you can also view it directly [in GitHub](https://github.com/TeamLEGWORK/LEGWORK-paper) if you prefer!
%prep
%autosetup -n legwork-0.4.6
%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-legwork -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.6-1
- Package Spec generated
|
