%global _empty_manifest_terminate_build 0 Name: python-niapy Version: 2.0.4 Release: 1 Summary: Python micro framework for building nature-inspired algorithms. License: MIT URL: https://github.com/NiaOrg/NiaPy Source0: https://mirrors.nju.edu.cn/pypi/web/packages/f1/44/ab840e655f1a08b68f311cfc02358892866895cc555ca4eeea9a649a3769/niapy-2.0.4.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-matplotlib Requires: python3-pandas Requires: python3-openpyxl %description |Check codestyle and test build| |PyPI Version| |PyPI - Python Version| |PyPI - Status| |PyPI - Downloads| |GitHub Release Date| |Anaconda-Server Badge| |Fedora package| |AUR package| |Documentation Status| |GitHub license| |Scrutinizer Code Quality| |Coverage Status| |GitHub commit activity| |Updates| |Average time to resolve an issue| |Percentage of issues still open| |GitHub contributors| |DOI| |image1| Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been developed (`paper 1 `__, `paper 2 `__) since the beginning of their era. To prove their versatility, those were tested in various domains on various applications, especially when they are hybridized, modified or adapted. However, implementation of nature-inspired algorithms is sometimes a difficult, complex and tedious task. In order to break this wall, NiaPy is intended for simple and quick use, without spending time for implementing algorithms from scratch. - **Free software:** MIT license - **Documentation:** https://niapy.readthedocs.io/en/stable/ - **Python versions:** 3.6.x, 3.7.x, 3.8.x, 3.9.x - **Dependencies:** `click here `__ %package -n python3-niapy Summary: Python micro framework for building nature-inspired algorithms. Provides: python-niapy BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-niapy |Check codestyle and test build| |PyPI Version| |PyPI - Python Version| |PyPI - Status| |PyPI - Downloads| |GitHub Release Date| |Anaconda-Server Badge| |Fedora package| |AUR package| |Documentation Status| |GitHub license| |Scrutinizer Code Quality| |Coverage Status| |GitHub commit activity| |Updates| |Average time to resolve an issue| |Percentage of issues still open| |GitHub contributors| |DOI| |image1| Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been developed (`paper 1 `__, `paper 2 `__) since the beginning of their era. To prove their versatility, those were tested in various domains on various applications, especially when they are hybridized, modified or adapted. However, implementation of nature-inspired algorithms is sometimes a difficult, complex and tedious task. In order to break this wall, NiaPy is intended for simple and quick use, without spending time for implementing algorithms from scratch. - **Free software:** MIT license - **Documentation:** https://niapy.readthedocs.io/en/stable/ - **Python versions:** 3.6.x, 3.7.x, 3.8.x, 3.9.x - **Dependencies:** `click here `__ %package help Summary: Development documents and examples for niapy Provides: python3-niapy-doc %description help |Check codestyle and test build| |PyPI Version| |PyPI - Python Version| |PyPI - Status| |PyPI - Downloads| |GitHub Release Date| |Anaconda-Server Badge| |Fedora package| |AUR package| |Documentation Status| |GitHub license| |Scrutinizer Code Quality| |Coverage Status| |GitHub commit activity| |Updates| |Average time to resolve an issue| |Percentage of issues still open| |GitHub contributors| |DOI| |image1| Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been developed (`paper 1 `__, `paper 2 `__) since the beginning of their era. To prove their versatility, those were tested in various domains on various applications, especially when they are hybridized, modified or adapted. However, implementation of nature-inspired algorithms is sometimes a difficult, complex and tedious task. In order to break this wall, NiaPy is intended for simple and quick use, without spending time for implementing algorithms from scratch. - **Free software:** MIT license - **Documentation:** https://niapy.readthedocs.io/en/stable/ - **Python versions:** 3.6.x, 3.7.x, 3.8.x, 3.9.x - **Dependencies:** `click here `__ %prep %autosetup -n niapy-2.0.4 %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-niapy -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Mar 09 2023 Python_Bot - 2.0.4-1 - Package Spec generated