%global _empty_manifest_terminate_build 0
Name:		python-pong
Version:	1.5
Release:	1
Summary:	Ultra-fast analysis and interactive visualization of population structure plots from Structure/Admixture data
License:	GNU General Public License v3 (GPLv3)
URL:		https://github.com/ramachandran-lab/pong
Source0:	https://mirrors.aliyun.com/pypi/web/packages/5c/9e/3e505165e4eaeeb20d14b9532808e89344ba85bac4f12f0aba9b5b0b7e6f/pong-1.5.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-tornado
Requires:	python3-munkres
Requires:	python3-networkx

%description
<span style="font-size:85%">*We have found that this sorting operation makes it much easier to understand the distribution of cluster membership within each population. Note that pong performs this sorting operation on a single _Q_ matrix (the bottom-most plot in the main visualization, which is the representative run of the major mode of the highest _K_-value) and propagates that order through all the other visualized _Q_ matrices, such that the ordering of individuals is consistent across all plots.</span>

%package -n python3-pong
Summary:	Ultra-fast analysis and interactive visualization of population structure plots from Structure/Admixture data
Provides:	python-pong
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-pong
<span style="font-size:85%">*We have found that this sorting operation makes it much easier to understand the distribution of cluster membership within each population. Note that pong performs this sorting operation on a single _Q_ matrix (the bottom-most plot in the main visualization, which is the representative run of the major mode of the highest _K_-value) and propagates that order through all the other visualized _Q_ matrices, such that the ordering of individuals is consistent across all plots.</span>

%package help
Summary:	Development documents and examples for pong
Provides:	python3-pong-doc
%description help
<span style="font-size:85%">*We have found that this sorting operation makes it much easier to understand the distribution of cluster membership within each population. Note that pong performs this sorting operation on a single _Q_ matrix (the bottom-most plot in the main visualization, which is the representative run of the major mode of the highest _K_-value) and propagates that order through all the other visualized _Q_ matrices, such that the ordering of individuals is consistent across all plots.</span>

%prep
%autosetup -n pong-1.5

%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-pong -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.5-1
- Package Spec generated