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%global _empty_manifest_terminate_build 0
Name:		python-networkit
Version:	10.1
Release:	1
Summary:	NetworKit is a toolbox for high-performance network analysis
License:	MIT
URL:		https://networkit.github.io/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b1/1f/1a7bf202ca0ea6adb41846f8cd500a93e0386b44a552a9212ab8459ed902/networkit-10.1.tar.gz

Requires:	python3-scipy
Requires:	python3-numpy

%description

NetworKit is a growing open-source toolkit for high-performance network analysis.
Its aim is to provide tools for the analysis of large networks in the size range
from thousands to billions of edges. For this purpose, it implements efficient
graph algorithms, many of them parallel to utilize multicore architectures. These
are meant to compute standard measures of network analysis, such as degree
sequences, clustering coefficients and centrality. In
this respect, NetworKit is comparable to packages such as NetworkX, albeit with a
focus on parallelism and scalability. NetworKit is also a testbed for algorithm
engineering and contains a few novel algorithms from recently published
research, especially in the area of community detection.



%package -n python3-networkit
Summary:	NetworKit is a toolbox for high-performance network analysis
Provides:	python-networkit
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
BuildRequires:	python3-cffi
BuildRequires:	gcc
BuildRequires:	gdb
%description -n python3-networkit

NetworKit is a growing open-source toolkit for high-performance network analysis.
Its aim is to provide tools for the analysis of large networks in the size range
from thousands to billions of edges. For this purpose, it implements efficient
graph algorithms, many of them parallel to utilize multicore architectures. These
are meant to compute standard measures of network analysis, such as degree
sequences, clustering coefficients and centrality. In
this respect, NetworKit is comparable to packages such as NetworkX, albeit with a
focus on parallelism and scalability. NetworKit is also a testbed for algorithm
engineering and contains a few novel algorithms from recently published
research, especially in the area of community detection.



%package help
Summary:	Development documents and examples for networkit
Provides:	python3-networkit-doc
%description help

NetworKit is a growing open-source toolkit for high-performance network analysis.
Its aim is to provide tools for the analysis of large networks in the size range
from thousands to billions of edges. For this purpose, it implements efficient
graph algorithms, many of them parallel to utilize multicore architectures. These
are meant to compute standard measures of network analysis, such as degree
sequences, clustering coefficients and centrality. In
this respect, NetworKit is comparable to packages such as NetworkX, albeit with a
focus on parallelism and scalability. NetworKit is also a testbed for algorithm
engineering and contains a few novel algorithms from recently published
research, especially in the area of community detection.



%prep
%autosetup -n networkit-10.1

%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-networkit -f filelist.lst
%dir %{python3_sitearch}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 10.1-1
- Package Spec generated