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diff --git a/python-simplegp.spec b/python-simplegp.spec new file mode 100644 index 0000000..c3945e9 --- /dev/null +++ b/python-simplegp.spec @@ -0,0 +1,137 @@ +%global _empty_manifest_terminate_build 0 +Name: python-SimpleGP +Version: 1.0.1 +Release: 1 +Summary: please add a summary manually as the author left a blank one +License: MIT License +URL: https://github.com/marcovirgolin/SimpleGP +Source0: https://mirrors.aliyun.com/pypi/web/packages/b3/d3/cc905b49813af85c7c0b61326175cee86fac76f71b451f6d2ad61713f6f0/SimpleGP-1.0.1.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scikit-learn + +%description +# Simple Genetic Programming +### For Symbolic Regression +This Python 3 code is a simple implementation of genetic programming for symbolic regression, and has been developed for educational purposes. + +## Dependencies +`numpy` & `sklearn`. The file `test.py` shows an example of usage. + +## Installation +You can install it with pip using `python3 -m pip install --user simplegp`, or locally by downloading the code and running `python3 setup.py install --user`. + +## Reference +If you use this code, please support our research by citing one (or more) of our works for which this code was made or adopted: + +> M. Virgolin, A. De Lorenzo, E. Medvet, F. Randone. "Learning a Formula of Interpretability to Learn Interpretable Formulas". [Parallel Problem Solving from Nature -- PPSN XVI, pp. 79--93](https://link.springer.com/chapter/10.1007/978-3-030-58115-2_6), Springer (2020). ([arXiv preprint arXiv:2004.11170](https://arxiv.org/abs/2004.11170)) + +> M. Virgolin. "Genetic Programming is Naturally Suited to Evolve Bagging Ensembles". [arXiv preprint arXiv:2009.06037v5](https://arxiv.org/abs/2009.06037v5) (2021) + +## Multi-objective +For a multi-objective version, see [pyNSGP](https://github.com/marcovirgolin/pyNSGP). + + + + +%package -n python3-SimpleGP +Summary: please add a summary manually as the author left a blank one +Provides: python-SimpleGP +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-SimpleGP +# Simple Genetic Programming +### For Symbolic Regression +This Python 3 code is a simple implementation of genetic programming for symbolic regression, and has been developed for educational purposes. + +## Dependencies +`numpy` & `sklearn`. The file `test.py` shows an example of usage. + +## Installation +You can install it with pip using `python3 -m pip install --user simplegp`, or locally by downloading the code and running `python3 setup.py install --user`. + +## Reference +If you use this code, please support our research by citing one (or more) of our works for which this code was made or adopted: + +> M. Virgolin, A. De Lorenzo, E. Medvet, F. Randone. "Learning a Formula of Interpretability to Learn Interpretable Formulas". [Parallel Problem Solving from Nature -- PPSN XVI, pp. 79--93](https://link.springer.com/chapter/10.1007/978-3-030-58115-2_6), Springer (2020). ([arXiv preprint arXiv:2004.11170](https://arxiv.org/abs/2004.11170)) + +> M. Virgolin. "Genetic Programming is Naturally Suited to Evolve Bagging Ensembles". [arXiv preprint arXiv:2009.06037v5](https://arxiv.org/abs/2009.06037v5) (2021) + +## Multi-objective +For a multi-objective version, see [pyNSGP](https://github.com/marcovirgolin/pyNSGP). + + + + +%package help +Summary: Development documents and examples for SimpleGP +Provides: python3-SimpleGP-doc +%description help +# Simple Genetic Programming +### For Symbolic Regression +This Python 3 code is a simple implementation of genetic programming for symbolic regression, and has been developed for educational purposes. + +## Dependencies +`numpy` & `sklearn`. The file `test.py` shows an example of usage. + +## Installation +You can install it with pip using `python3 -m pip install --user simplegp`, or locally by downloading the code and running `python3 setup.py install --user`. + +## Reference +If you use this code, please support our research by citing one (or more) of our works for which this code was made or adopted: + +> M. Virgolin, A. De Lorenzo, E. Medvet, F. Randone. "Learning a Formula of Interpretability to Learn Interpretable Formulas". [Parallel Problem Solving from Nature -- PPSN XVI, pp. 79--93](https://link.springer.com/chapter/10.1007/978-3-030-58115-2_6), Springer (2020). ([arXiv preprint arXiv:2004.11170](https://arxiv.org/abs/2004.11170)) + +> M. Virgolin. "Genetic Programming is Naturally Suited to Evolve Bagging Ensembles". [arXiv preprint arXiv:2009.06037v5](https://arxiv.org/abs/2009.06037v5) (2021) + +## Multi-objective +For a multi-objective version, see [pyNSGP](https://github.com/marcovirgolin/pyNSGP). + + + + +%prep +%autosetup -n SimpleGP-1.0.1 + +%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-SimpleGP -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.1-1 +- Package Spec generated |