%global _empty_manifest_terminate_build 0
Name:		python-reverse_geocoder
Version:	1.5.1
Release:	1
Summary:	Fast, offline reverse geocoder
License:	lgpl
URL:		https://github.com/thampiman/reverse-geocoder
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/0b/0f/b7d5d4b36553731f11983e19e1813a1059ad0732c5162c01b3220c927d31/reverse_geocoder-1.5.1.tar.gz
BuildArch:	noarch


%description
Reverse Geocoder takes a latitude / longitude coordinate and returns the nearest town/city.
This library improves on an existing library called reverse_geocode developed by Richard Penman in the following ways:
1. Besides city and country, this library also returns the administrative 1 & 2 regions, latitude and longitude
2. The performance is much faster since a parallelized K-D tree is implemented 
(See https://github.com/thampiman/reverse-geocoder for performance comparison)
Supports Python 2 and 3. You can also load a custom data source. Fore more help, see https://github.com/thampiman/reverse-geocoder.
Example usage:
    >>> import reverse_geocoder as rg
    >>> coordinates = (51.5214588,-0.1729636),(9.936033, 76.259952),(37.38605,-122.08385)
    >>> rg.search(coordinates)
    [{'name': 'Bayswater', 
      'cc': 'GB', 
      'lat': '51.51116',
      'lon': '-0.18426', 
      'admin1': 'England', 
      'admin2': 'Greater London'}, 
     {'name': 'Cochin', 
      'cc': 'IN', 
      'lat': '9.93988',
      'lon': '76.26022', 
      'admin1': 'Kerala', 
      'admin2': 'Ernakulam'},
     {'name': 'Mountain View', 
      'cc': 'US', 
      'lat': '37.38605',
      'lon': '-122.08385', 
      'admin1': 'California', 
      'admin2': 'Santa Clara County'}]

%package -n python3-reverse_geocoder
Summary:	Fast, offline reverse geocoder
Provides:	python-reverse_geocoder
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-reverse_geocoder
Reverse Geocoder takes a latitude / longitude coordinate and returns the nearest town/city.
This library improves on an existing library called reverse_geocode developed by Richard Penman in the following ways:
1. Besides city and country, this library also returns the administrative 1 & 2 regions, latitude and longitude
2. The performance is much faster since a parallelized K-D tree is implemented 
(See https://github.com/thampiman/reverse-geocoder for performance comparison)
Supports Python 2 and 3. You can also load a custom data source. Fore more help, see https://github.com/thampiman/reverse-geocoder.
Example usage:
    >>> import reverse_geocoder as rg
    >>> coordinates = (51.5214588,-0.1729636),(9.936033, 76.259952),(37.38605,-122.08385)
    >>> rg.search(coordinates)
    [{'name': 'Bayswater', 
      'cc': 'GB', 
      'lat': '51.51116',
      'lon': '-0.18426', 
      'admin1': 'England', 
      'admin2': 'Greater London'}, 
     {'name': 'Cochin', 
      'cc': 'IN', 
      'lat': '9.93988',
      'lon': '76.26022', 
      'admin1': 'Kerala', 
      'admin2': 'Ernakulam'},
     {'name': 'Mountain View', 
      'cc': 'US', 
      'lat': '37.38605',
      'lon': '-122.08385', 
      'admin1': 'California', 
      'admin2': 'Santa Clara County'}]

%package help
Summary:	Development documents and examples for reverse_geocoder
Provides:	python3-reverse_geocoder-doc
%description help
Reverse Geocoder takes a latitude / longitude coordinate and returns the nearest town/city.
This library improves on an existing library called reverse_geocode developed by Richard Penman in the following ways:
1. Besides city and country, this library also returns the administrative 1 & 2 regions, latitude and longitude
2. The performance is much faster since a parallelized K-D tree is implemented 
(See https://github.com/thampiman/reverse-geocoder for performance comparison)
Supports Python 2 and 3. You can also load a custom data source. Fore more help, see https://github.com/thampiman/reverse-geocoder.
Example usage:
    >>> import reverse_geocoder as rg
    >>> coordinates = (51.5214588,-0.1729636),(9.936033, 76.259952),(37.38605,-122.08385)
    >>> rg.search(coordinates)
    [{'name': 'Bayswater', 
      'cc': 'GB', 
      'lat': '51.51116',
      'lon': '-0.18426', 
      'admin1': 'England', 
      'admin2': 'Greater London'}, 
     {'name': 'Cochin', 
      'cc': 'IN', 
      'lat': '9.93988',
      'lon': '76.26022', 
      'admin1': 'Kerala', 
      'admin2': 'Ernakulam'},
     {'name': 'Mountain View', 
      'cc': 'US', 
      'lat': '37.38605',
      'lon': '-122.08385', 
      'admin1': 'California', 
      'admin2': 'Santa Clara County'}]

%prep
%autosetup -n reverse_geocoder-1.5.1

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

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

%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.5.1-1
- Package Spec generated