%global _empty_manifest_terminate_build 0
Name:		python-jenkspy
Version:	0.3.2
Release:	1
Summary:	Compute Natural Breaks (Fisher-Jenks algorithm)
License:	MIT
URL:		http://github.com/mthh/jenkspy
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/32/4b/b1733f58a792000d989987155a4456a6dff88a036ecb70f0a8cf9afc0b63/jenkspy-0.3.2.tar.gz


%description
Compute "natural breaks" (*Fisher-Jenks algorithm*) on list / tuple / array / numpy.ndarray of integers/floats.
The algorithm implemented by this library is also sometimes referred to as *Fisher-Jenks algorithm*, *Jenks Optimisation Method* or *Fisher exact optimization method*. This is a deterministic method to calculate the optimal class boundaries.
Intended compatibility: CPython 3.6+
Wheels are provided via PyPI for Windows / MacOS / Linux users - Also available on conda-forge channel for Anaconda users.
|Version| |Anaconda-Server Badge| |Build Status GH| |PyPI download month|

%package -n python3-jenkspy
Summary:	Compute Natural Breaks (Fisher-Jenks algorithm)
Provides:	python-jenkspy
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
BuildRequires:	python3-cffi
BuildRequires:	gcc
BuildRequires:	gdb
%description -n python3-jenkspy
Compute "natural breaks" (*Fisher-Jenks algorithm*) on list / tuple / array / numpy.ndarray of integers/floats.
The algorithm implemented by this library is also sometimes referred to as *Fisher-Jenks algorithm*, *Jenks Optimisation Method* or *Fisher exact optimization method*. This is a deterministic method to calculate the optimal class boundaries.
Intended compatibility: CPython 3.6+
Wheels are provided via PyPI for Windows / MacOS / Linux users - Also available on conda-forge channel for Anaconda users.
|Version| |Anaconda-Server Badge| |Build Status GH| |PyPI download month|

%package help
Summary:	Development documents and examples for jenkspy
Provides:	python3-jenkspy-doc
%description help
Compute "natural breaks" (*Fisher-Jenks algorithm*) on list / tuple / array / numpy.ndarray of integers/floats.
The algorithm implemented by this library is also sometimes referred to as *Fisher-Jenks algorithm*, *Jenks Optimisation Method* or *Fisher exact optimization method*. This is a deterministic method to calculate the optimal class boundaries.
Intended compatibility: CPython 3.6+
Wheels are provided via PyPI for Windows / MacOS / Linux users - Also available on conda-forge channel for Anaconda users.
|Version| |Anaconda-Server Badge| |Build Status GH| |PyPI download month|

%prep
%autosetup -n jenkspy-0.3.2

%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-jenkspy -f filelist.lst
%dir %{python3_sitearch}/*

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

%changelog
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.2-1
- Package Spec generated