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%global _empty_manifest_terminate_build 0
Name: python-splink-graph
Version: 0.8.2
Release: 1
Summary: a small set of graph functions to be used from pySpark on top of networkx and graphframes
License: MIT
URL: https://github.com/moj-analytical-services/splink_graph
Source0: https://mirrors.aliyun.com/pypi/web/packages/2f/5a/487f8d9df419202033dfe576e4815e583a472cd1c1bb38de9c0f609f7061/splink_graph-0.8.2.tar.gz
BuildArch: noarch
Requires: python3-networkx
Requires: python3-numpy
Requires: python3-scipy
Requires: python3-gensim
Requires: python3-node2vec
Requires: python3-graphframes
%description
`splink_graph` is a graph utility library for use in Apache Spark.
It computes graph metrics on the outputs of data linking which are useful for:
- Quality assurance of linkage results and identifying false positive links
- Computing quality metrics associated with groups (clusters) of linked records
- Automatically identifying possible false positive links in clusters
It works with graph data structures such as the ones created from the outputs of data linking - for instance the candidate pair results produced by 
%package -n python3-splink-graph
Summary: a small set of graph functions to be used from pySpark on top of networkx and graphframes
Provides: python-splink-graph
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-splink-graph
`splink_graph` is a graph utility library for use in Apache Spark.
It computes graph metrics on the outputs of data linking which are useful for:
- Quality assurance of linkage results and identifying false positive links
- Computing quality metrics associated with groups (clusters) of linked records
- Automatically identifying possible false positive links in clusters
It works with graph data structures such as the ones created from the outputs of data linking - for instance the candidate pair results produced by 
%package help
Summary: Development documents and examples for splink-graph
Provides: python3-splink-graph-doc
%description help
`splink_graph` is a graph utility library for use in Apache Spark.
It computes graph metrics on the outputs of data linking which are useful for:
- Quality assurance of linkage results and identifying false positive links
- Computing quality metrics associated with groups (clusters) of linked records
- Automatically identifying possible false positive links in clusters
It works with graph data structures such as the ones created from the outputs of data linking - for instance the candidate pair results produced by 
%prep
%autosetup -n splink_graph-0.8.2
%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-splink-graph -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.2-1
- Package Spec generated
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