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%global _empty_manifest_terminate_build 0
Name: python-dedupe-hcluster
Version: 0.3.9
Release: 1
Summary: Hierarchical Clustering Algorithms (Information Theory)
License: SciPy License (BSD Style)
URL: https://github.com/datamade/hcluster
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5b/96/7a7f4327d25cc4d918351eca65799533e5707be0d35c6cdb263a14efbfb5/dedupe-hcluster-0.3.9.tar.gz
Requires: python3-numpy
Requires: python3-numpy
Requires: python3-numpy
Requires: python3-numpy
Requires: python3-numpy
%description
This library provides Python functions for hierarchical clustering. Its features
include
* generating hierarchical clusters from distance matrices
* computing distance matrices from observation vectors
* computing statistics on clusters
* cutting linkages to generate flat clusters
* and visualizing clusters with dendrograms.
The interface is very similar to MATLAB's Statistics Toolbox API to make code
easier to port from MATLAB to Python/Numpy. The core implementation of this
library is in C for efficiency.
%package -n python3-dedupe-hcluster
Summary: Hierarchical Clustering Algorithms (Information Theory)
Provides: python-dedupe-hcluster
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-dedupe-hcluster
This library provides Python functions for hierarchical clustering. Its features
include
* generating hierarchical clusters from distance matrices
* computing distance matrices from observation vectors
* computing statistics on clusters
* cutting linkages to generate flat clusters
* and visualizing clusters with dendrograms.
The interface is very similar to MATLAB's Statistics Toolbox API to make code
easier to port from MATLAB to Python/Numpy. The core implementation of this
library is in C for efficiency.
%package help
Summary: Development documents and examples for dedupe-hcluster
Provides: python3-dedupe-hcluster-doc
%description help
This library provides Python functions for hierarchical clustering. Its features
include
* generating hierarchical clusters from distance matrices
* computing distance matrices from observation vectors
* computing statistics on clusters
* cutting linkages to generate flat clusters
* and visualizing clusters with dendrograms.
The interface is very similar to MATLAB's Statistics Toolbox API to make code
easier to port from MATLAB to Python/Numpy. The core implementation of this
library is in C for efficiency.
%prep
%autosetup -n dedupe-hcluster-0.3.9
%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-dedupe-hcluster -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.9-1
- Package Spec generated
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