%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
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.9-1
- Package Spec generated