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%global _empty_manifest_terminate_build 0
Name: python-csbdeep
Version: 0.7.3
Release: 1
Summary: CSBDeep - a toolbox for Content-aware Image Restoration (CARE)
License: BSD 3-Clause License
URL: http://csbdeep.bioimagecomputing.com/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ce/51/46132795844348e19a77ce4fb0201e4339d0e14956666ff22f6b82e0d6f6/csbdeep-0.7.3.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-scipy
Requires: python3-matplotlib
Requires: python3-six
Requires: python3-tifffile
Requires: python3-tqdm
Requires: python3-packaging
Requires: python3-sphinx
Requires: python3-sphinx-rtd-theme
Requires: python3-pytest
Requires: python3-keras
Requires: python3-protobuf
%description
[](https://pypi.org/project/csbdeep)
[](https://anaconda.org/conda-forge/csbdeep)
[](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3ATest)
[/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28PyPI%29%22)
[/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28Legacy%29%22)
# CSBDeep – a toolbox for CARE
This is the CSBDeep Python package, which provides a toolbox for content-aware restoration of fluorescence microscopy images (CARE), based on deep learning via Keras and TensorFlow.
Please see the documentation at http://csbdeep.bioimagecomputing.com/doc/.
%package -n python3-csbdeep
Summary: CSBDeep - a toolbox for Content-aware Image Restoration (CARE)
Provides: python-csbdeep
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-csbdeep
[](https://pypi.org/project/csbdeep)
[](https://anaconda.org/conda-forge/csbdeep)
[](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3ATest)
[/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28PyPI%29%22)
[/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28Legacy%29%22)
# CSBDeep – a toolbox for CARE
This is the CSBDeep Python package, which provides a toolbox for content-aware restoration of fluorescence microscopy images (CARE), based on deep learning via Keras and TensorFlow.
Please see the documentation at http://csbdeep.bioimagecomputing.com/doc/.
%package help
Summary: Development documents and examples for csbdeep
Provides: python3-csbdeep-doc
%description help
[](https://pypi.org/project/csbdeep)
[](https://anaconda.org/conda-forge/csbdeep)
[](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3ATest)
[/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28PyPI%29%22)
[/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28Legacy%29%22)
# CSBDeep – a toolbox for CARE
This is the CSBDeep Python package, which provides a toolbox for content-aware restoration of fluorescence microscopy images (CARE), based on deep learning via Keras and TensorFlow.
Please see the documentation at http://csbdeep.bioimagecomputing.com/doc/.
%prep
%autosetup -n csbdeep-0.7.3
%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-csbdeep -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.3-1
- Package Spec generated
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