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%global _empty_manifest_terminate_build 0
Name: python-cryolo
Version: 1.9.3
Release: 1
Summary: Picking procedure for cryo em single particle analysis
License: Other/Proprietary License (all rights reserved)
URL: https://cryolo.readthedocs.io/en/stable/index.html
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ba/86/9ca239e2abbaf425a3526d74c883917feaa710b9d2277e57d8230d00619e/cryolo-1.9.3.tar.gz
BuildArch: noarch
%description
[](https://gitlab.gwdg.de/mpi-dortmund/sphire/cryolo/-/commits/predict3d)
[](https://gitlab.gwdg.de/mpi-dortmund/sphire/cryolo/-/commits/predict3d)
# SPHIRE-crYOLO
Deep learning particle picking procedure based on YOLOv2.
Please see [our website](https://cryolo.readthedocs.io/en/stable/) for more information.
## License
The license information can be found here:
[EULA license of crYOLO](https://cryolo.readthedocs.io/en/stable/other/license.html)
## Paper
If you use crYOLO, please cite
Wagner, T. et al. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Communications Biology 2, (2019).
https://doi.org/10.1038/s42003-019-0437-z
%package -n python3-cryolo
Summary: Picking procedure for cryo em single particle analysis
Provides: python-cryolo
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-cryolo
[](https://gitlab.gwdg.de/mpi-dortmund/sphire/cryolo/-/commits/predict3d)
[](https://gitlab.gwdg.de/mpi-dortmund/sphire/cryolo/-/commits/predict3d)
# SPHIRE-crYOLO
Deep learning particle picking procedure based on YOLOv2.
Please see [our website](https://cryolo.readthedocs.io/en/stable/) for more information.
## License
The license information can be found here:
[EULA license of crYOLO](https://cryolo.readthedocs.io/en/stable/other/license.html)
## Paper
If you use crYOLO, please cite
Wagner, T. et al. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Communications Biology 2, (2019).
https://doi.org/10.1038/s42003-019-0437-z
%package help
Summary: Development documents and examples for cryolo
Provides: python3-cryolo-doc
%description help
[](https://gitlab.gwdg.de/mpi-dortmund/sphire/cryolo/-/commits/predict3d)
[](https://gitlab.gwdg.de/mpi-dortmund/sphire/cryolo/-/commits/predict3d)
# SPHIRE-crYOLO
Deep learning particle picking procedure based on YOLOv2.
Please see [our website](https://cryolo.readthedocs.io/en/stable/) for more information.
## License
The license information can be found here:
[EULA license of crYOLO](https://cryolo.readthedocs.io/en/stable/other/license.html)
## Paper
If you use crYOLO, please cite
Wagner, T. et al. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Communications Biology 2, (2019).
https://doi.org/10.1038/s42003-019-0437-z
%prep
%autosetup -n cryolo-1.9.3
%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-cryolo -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.9.3-1
- Package Spec generated
|
