%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 [![PyPI version](https://badge.fury.io/py/csbdeep.svg)](https://pypi.org/project/csbdeep) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/csbdeep/badges/version.svg)](https://anaconda.org/conda-forge/csbdeep) [![Test](https://github.com/CSBDeep/CSBDeep/workflows/Test/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3ATest) [![Test (PyPI)](https://github.com/CSBDeep/CSBDeep/workflows/Test%20(PyPI)/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28PyPI%29%22) [![Test (Legacy)](https://github.com/CSBDeep/CSBDeep/workflows/Test%20(Legacy)/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 [![PyPI version](https://badge.fury.io/py/csbdeep.svg)](https://pypi.org/project/csbdeep) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/csbdeep/badges/version.svg)](https://anaconda.org/conda-forge/csbdeep) [![Test](https://github.com/CSBDeep/CSBDeep/workflows/Test/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3ATest) [![Test (PyPI)](https://github.com/CSBDeep/CSBDeep/workflows/Test%20(PyPI)/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28PyPI%29%22) [![Test (Legacy)](https://github.com/CSBDeep/CSBDeep/workflows/Test%20(Legacy)/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 [![PyPI version](https://badge.fury.io/py/csbdeep.svg)](https://pypi.org/project/csbdeep) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/csbdeep/badges/version.svg)](https://anaconda.org/conda-forge/csbdeep) [![Test](https://github.com/CSBDeep/CSBDeep/workflows/Test/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3ATest) [![Test (PyPI)](https://github.com/CSBDeep/CSBDeep/workflows/Test%20(PyPI)/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28PyPI%29%22) [![Test (Legacy)](https://github.com/CSBDeep/CSBDeep/workflows/Test%20(Legacy)/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 - 0.7.3-1 - Package Spec generated