%global _empty_manifest_terminate_build 0
Name:		python-bluepyopt
Version:	1.13.196
Release:	1
Summary:	Bluebrain Python Optimisation Library (bluepyopt)
License:	LGPLv3
URL:		https://github.com/BlueBrain/BluePyOpt
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/bc/95/5d8be7781146feb27e69c74740999c191fa02e3d5f28b683fdfa14c43e3d/bluepyopt-1.13.196.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-pandas
Requires:	python3-deap
Requires:	python3-efel
Requires:	python3-ipyparallel
Requires:	python3-pickleshare
Requires:	python3-Jinja2
Requires:	python3-future
Requires:	python3-Pebble
Requires:	python3-scoop
Requires:	python3-pyneuroml
Requires:	python3-libNeuroML
Requires:	python3-LFPy
Requires:	python3-arbor
Requires:	python3-arbor
Requires:	python3-LFPy
Requires:	python3-pyneuroml
Requires:	python3-libNeuroML
Requires:	python3-scoop
Requires:	python3-pyneuroml
Requires:	python3-libNeuroML
Requires:	python3-LFPy
Requires:	python3-arbor

%description
The Blue Brain Python Optimisation Library (BluePyOpt) is an extensible framework for data-driven model parameter optimisation that wraps and standardises several existing open-source tools. It simplifies the task of creating and sharing these optimisations, and the associated techniques and knowledge. This is achieved by abstracting the optimisation and evaluation tasks into various reusable and flexible discrete elements according to established best-practices.




%package -n python3-bluepyopt
Summary:	Bluebrain Python Optimisation Library (bluepyopt)
Provides:	python-bluepyopt
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-bluepyopt
The Blue Brain Python Optimisation Library (BluePyOpt) is an extensible framework for data-driven model parameter optimisation that wraps and standardises several existing open-source tools. It simplifies the task of creating and sharing these optimisations, and the associated techniques and knowledge. This is achieved by abstracting the optimisation and evaluation tasks into various reusable and flexible discrete elements according to established best-practices.




%package help
Summary:	Development documents and examples for bluepyopt
Provides:	python3-bluepyopt-doc
%description help
The Blue Brain Python Optimisation Library (BluePyOpt) is an extensible framework for data-driven model parameter optimisation that wraps and standardises several existing open-source tools. It simplifies the task of creating and sharing these optimisations, and the associated techniques and knowledge. This is achieved by abstracting the optimisation and evaluation tasks into various reusable and flexible discrete elements according to established best-practices.




%prep
%autosetup -n bluepyopt-1.13.196

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

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

%changelog
* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 1.13.196-1
- Package Spec generated