%global _empty_manifest_terminate_build 0
Name:		python-Miscoto
Version:	3.1.2
Release:	1
Summary:	Microbiome Screening and COmmunity selection using TOpology
License:	GPLv3+
URL:		https://github.com/cfrioux/miscoto
Source0:	https://mirrors.aliyun.com/pypi/web/packages/eb/4a/fe9374ce9a3efb1649763e1567efefdb4fd5582d06ef50065d24503208b3/Miscoto-3.1.2.tar.gz
BuildArch:	noarch

Requires:	python3-clyngor-with-clingo
Requires:	python3-clyngor

%description
MiSCoTo is a Python3 tool to explore microbiomes and select minimal communities within them. It uses Answer Set Programming (ASP) to optimize community selection. Inputs: metabolic models, seeds (growth medium) and metabolic targets. Computations can be performed with a set of symbionts or a set of symbionts and a host. In the latter case, targets will be produced by the host, whereas in the former they will be produced by any member of the microbiome. More information on usage and troubleshooting on Github: https://github.com/cfrioux/miscoto




%package -n python3-Miscoto
Summary:	Microbiome Screening and COmmunity selection using TOpology
Provides:	python-Miscoto
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-Miscoto
MiSCoTo is a Python3 tool to explore microbiomes and select minimal communities within them. It uses Answer Set Programming (ASP) to optimize community selection. Inputs: metabolic models, seeds (growth medium) and metabolic targets. Computations can be performed with a set of symbionts or a set of symbionts and a host. In the latter case, targets will be produced by the host, whereas in the former they will be produced by any member of the microbiome. More information on usage and troubleshooting on Github: https://github.com/cfrioux/miscoto




%package help
Summary:	Development documents and examples for Miscoto
Provides:	python3-Miscoto-doc
%description help
MiSCoTo is a Python3 tool to explore microbiomes and select minimal communities within them. It uses Answer Set Programming (ASP) to optimize community selection. Inputs: metabolic models, seeds (growth medium) and metabolic targets. Computations can be performed with a set of symbionts or a set of symbionts and a host. In the latter case, targets will be produced by the host, whereas in the former they will be produced by any member of the microbiome. More information on usage and troubleshooting on Github: https://github.com/cfrioux/miscoto




%prep
%autosetup -n Miscoto-3.1.2

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

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

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 3.1.2-1
- Package Spec generated