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%global _empty_manifest_terminate_build 0
Name: python-niworkflows
Version: 1.7.9
Release: 1
Summary: NeuroImaging Workflows provides processing tools for magnetic resonance images of the brain.
License: Apache License, Version 2.0
URL: https://www.nipreps.org
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/93/80/3c9d79e6a094b8cfa25dffe8c27aa4f2e76d1bc1ee4c957951dc68e8901d/niworkflows-1.7.9.tar.gz
BuildArch: noarch
%description
*NeuroImaging Workflows (NiWorkflows)* is a selection of image processing workflows
for magnetic resonance images of the brain. It is designed to provide an easily
accessible, state-of-the-art interface that is robust to differences in scan
acquisition protocols and that requires minimal user input.
This open-source neuroimaging data processing tool is being developed as a part of
the MRI image analysis and reproducibility platform offered by the *NiPreps Community*.
**Documentation**: https://www.nipreps.org/niworkflows/
%package -n python3-niworkflows
Summary: NeuroImaging Workflows provides processing tools for magnetic resonance images of the brain.
Provides: python-niworkflows
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-niworkflows
*NeuroImaging Workflows (NiWorkflows)* is a selection of image processing workflows
for magnetic resonance images of the brain. It is designed to provide an easily
accessible, state-of-the-art interface that is robust to differences in scan
acquisition protocols and that requires minimal user input.
This open-source neuroimaging data processing tool is being developed as a part of
the MRI image analysis and reproducibility platform offered by the *NiPreps Community*.
**Documentation**: https://www.nipreps.org/niworkflows/
%package help
Summary: Development documents and examples for niworkflows
Provides: python3-niworkflows-doc
%description help
*NeuroImaging Workflows (NiWorkflows)* is a selection of image processing workflows
for magnetic resonance images of the brain. It is designed to provide an easily
accessible, state-of-the-art interface that is robust to differences in scan
acquisition protocols and that requires minimal user input.
This open-source neuroimaging data processing tool is being developed as a part of
the MRI image analysis and reproducibility platform offered by the *NiPreps Community*.
**Documentation**: https://www.nipreps.org/niworkflows/
%prep
%autosetup -n niworkflows-1.7.9
%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-niworkflows -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.7.9-1
- Package Spec generated
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