%global _empty_manifest_terminate_build 0
Name:		python-BindingGP
Version:	0.0.36
Release:	1
Summary:	This is for symbolic regression.Some of code are non-originality, just copy for use. All the referenced code are marked,details can be shown in their sources
License:	GNU General Public License v3 (GPLv3)
URL:		https://github.com/boliqq07/bgp
Source0:	https://mirrors.aliyun.com/pypi/web/packages/b5/c9/32c52ff5eb19c9e512b89eed3bf60e47b38413baca75162ddf72b2837209/BindingGP-0.0.36.tar.gz
BuildArch:	noarch


%description
Welcome to BGP.
BGP (Binding Genetic Programming) is an open python library that implements a comprehensive set of symbolic regression
tools for materials informatics.
This tool contains a symbol regression tool with dimension calculation, which is aimed at establish expressions with
physical limitation.
BGP inspired by:
[XenonPy](https://github.com/yoshida-lab/XenonPy),
[matminer](https://hackingmaterials.github.io/matminer/ ),
[deap](https://github.com/DEAP/deap),
[sympy](https://www.sympy.org/en/index.html)

%package -n python3-BindingGP
Summary:	This is for symbolic regression.Some of code are non-originality, just copy for use. All the referenced code are marked,details can be shown in their sources
Provides:	python-BindingGP
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-BindingGP
Welcome to BGP.
BGP (Binding Genetic Programming) is an open python library that implements a comprehensive set of symbolic regression
tools for materials informatics.
This tool contains a symbol regression tool with dimension calculation, which is aimed at establish expressions with
physical limitation.
BGP inspired by:
[XenonPy](https://github.com/yoshida-lab/XenonPy),
[matminer](https://hackingmaterials.github.io/matminer/ ),
[deap](https://github.com/DEAP/deap),
[sympy](https://www.sympy.org/en/index.html)

%package help
Summary:	Development documents and examples for BindingGP
Provides:	python3-BindingGP-doc
%description help
Welcome to BGP.
BGP (Binding Genetic Programming) is an open python library that implements a comprehensive set of symbolic regression
tools for materials informatics.
This tool contains a symbol regression tool with dimension calculation, which is aimed at establish expressions with
physical limitation.
BGP inspired by:
[XenonPy](https://github.com/yoshida-lab/XenonPy),
[matminer](https://hackingmaterials.github.io/matminer/ ),
[deap](https://github.com/DEAP/deap),
[sympy](https://www.sympy.org/en/index.html)

%prep
%autosetup -n BindingGP-0.0.36

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

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

%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.36-1
- Package Spec generated