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%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
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