%global _empty_manifest_terminate_build 0
Name:		python-gridvoting
Version:	0.9.3
Release:	1
Summary:	Spatial Voting simulations on a grid with random challengers
License:	MIT License
URL:		https://github.com/drpaulbrewer/gridvoting
Source0:	https://mirrors.aliyun.com/pypi/web/packages/2e/6f/7dfdf7836fbdb2a30437f46835319dd388e2c9fc1927c490677aa676b6dc/gridvoting-0.9.3.tar.gz
BuildArch:	noarch


%description
# gridvoting

Voting simulations on a 2D grid of feasible outcomes

Helper class and functions for a Markov Chain voting model
based on a series of status quos and random challenges.

**This software is at a pre-release stage and not yet intended for general use.**

Inputs:

* grid size in 2D -glimit <= x,y <= glimit
* utility functions for each voter for each point on the grid
* challenger strategy (zi True/False)

Outputs:
* Markov chain transition matrix
* Existence of core (absorbing) points
* Stationary distributions (no core)
* Diagnostic and distribution plots




%package -n python3-gridvoting
Summary:	Spatial Voting simulations on a grid with random challengers
Provides:	python-gridvoting
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-gridvoting
# gridvoting

Voting simulations on a 2D grid of feasible outcomes

Helper class and functions for a Markov Chain voting model
based on a series of status quos and random challenges.

**This software is at a pre-release stage and not yet intended for general use.**

Inputs:

* grid size in 2D -glimit <= x,y <= glimit
* utility functions for each voter for each point on the grid
* challenger strategy (zi True/False)

Outputs:
* Markov chain transition matrix
* Existence of core (absorbing) points
* Stationary distributions (no core)
* Diagnostic and distribution plots




%package help
Summary:	Development documents and examples for gridvoting
Provides:	python3-gridvoting-doc
%description help
# gridvoting

Voting simulations on a 2D grid of feasible outcomes

Helper class and functions for a Markov Chain voting model
based on a series of status quos and random challenges.

**This software is at a pre-release stage and not yet intended for general use.**

Inputs:

* grid size in 2D -glimit <= x,y <= glimit
* utility functions for each voter for each point on the grid
* challenger strategy (zi True/False)

Outputs:
* Markov chain transition matrix
* Existence of core (absorbing) points
* Stationary distributions (no core)
* Diagnostic and distribution plots




%prep
%autosetup -n gridvoting-0.9.3

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

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

%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.3-1
- Package Spec generated