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-rw-r--r--python-niapy.spec142
-rw-r--r--sources1
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+/niapy-2.0.4.tar.gz
diff --git a/python-niapy.spec b/python-niapy.spec
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+%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 <https://arxiv.org/abs/1307.4186>`__,
+`paper 2 <https://www.mdpi.com/2076-3417/8/9/1521>`__) 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 <CONTRIBUTING.md#development-dependencies>`__
+
+%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 <https://arxiv.org/abs/1307.4186>`__,
+`paper 2 <https://www.mdpi.com/2076-3417/8/9/1521>`__) 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 <CONTRIBUTING.md#development-dependencies>`__
+
+%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 <https://arxiv.org/abs/1307.4186>`__,
+`paper 2 <https://www.mdpi.com/2076-3417/8/9/1521>`__) 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 <CONTRIBUTING.md#development-dependencies>`__
+
+%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 <Python_Bot@openeuler.org> - 2.0.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..38b09b3
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+86a81659735fb153583f77df2f6ca234 niapy-2.0.4.tar.gz