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|
%global _empty_manifest_terminate_build 0
Name: python-Levenshtein
Version: 0.21.0
Release: 1
Summary: Python extension for computing string edit distances and similarities.
License: GPL
URL: https://github.com/maxbachmann/Levenshtein
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ff/2a/f90caf823d1f751b4c604d1839402e4c7a59f45f5c4d98e3737c5a8dd117/Levenshtein-0.21.0.tar.gz
Requires: python3-rapidfuzz
%description
# Levenshtein
<p>
<a href="https://github.com/maxbachmann/Levenshtein/actions">
<img src="https://github.com/maxbachmann/Levenshtein/workflows/Build/badge.svg"
alt="Continous Integration">
</a>
<a href="https://pypi.org/project/levenshtein/">
<img src="https://img.shields.io/pypi/v/levenshtein"
alt="PyPI package version">
</a>
<a href="https://www.python.org">
<img src="https://img.shields.io/pypi/pyversions/levenshtein"
alt="Python versions">
</a>
<a href="https://maxbachmann.github.io/Levenshtein">
<img src="https://img.shields.io/badge/-documentation-blue"
alt="Documentation">
</a>
<a href="https://github.com/maxbachmann/Levenshtein/blob/main/COPYING">
<img src="https://img.shields.io/github/license/maxbachmann/Levenshtein"
alt="GitHub license">
</a>
</p>
## Introduction
The Levenshtein Python C extension module contains functions for fast
computation of:
* Levenshtein (edit) distance, and edit operations
* string similarity
* approximate median strings, and generally string averaging
* string sequence and set similarity
## Requirements
* Python 3.6 or later
## Installation
```bash
pip install levenshtein
```
## Documentation
The documentation for the current version can be found at [https://maxbachmann.github.io/Levenshtein/](https://maxbachmann.github.io/Levenshtein/)
## Support the project
If you are using Levenshtein for your work and feel like giving a bit of your own benefit back to support the project, consider sending us money through GitHub Sponsors or PayPal that we can use to buy us free time for the maintenance of this great library, to fix bugs in the software, review and integrate code contributions, to improve its features and documentation, or to just take a deep breath and have a cup of tea every once in a while. Thank you for your support.
Support the project through [GitHub Sponsors](https://github.com/sponsors/maxbachmann) or via [PayPal](https://www.paypal.com/donate/?hosted_button_id=VGWQBBD5CTWJU):
[](https://www.paypal.com/donate/?hosted_button_id=VGWQBBD5CTWJU).
## License
Levenshtein is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the Free
Software Foundation; either version 2 of the License, or (at your option)
any later version.
See the file [COPYING](https://github.com/maxbachmann/Levenshtein/blob/main/COPYING) for the full text of GNU General Public License version 2.
%package -n python3-Levenshtein
Summary: Python extension for computing string edit distances and similarities.
Provides: python-Levenshtein
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-Levenshtein
# Levenshtein
<p>
<a href="https://github.com/maxbachmann/Levenshtein/actions">
<img src="https://github.com/maxbachmann/Levenshtein/workflows/Build/badge.svg"
alt="Continous Integration">
</a>
<a href="https://pypi.org/project/levenshtein/">
<img src="https://img.shields.io/pypi/v/levenshtein"
alt="PyPI package version">
</a>
<a href="https://www.python.org">
<img src="https://img.shields.io/pypi/pyversions/levenshtein"
alt="Python versions">
</a>
<a href="https://maxbachmann.github.io/Levenshtein">
<img src="https://img.shields.io/badge/-documentation-blue"
alt="Documentation">
</a>
<a href="https://github.com/maxbachmann/Levenshtein/blob/main/COPYING">
<img src="https://img.shields.io/github/license/maxbachmann/Levenshtein"
alt="GitHub license">
</a>
</p>
## Introduction
The Levenshtein Python C extension module contains functions for fast
computation of:
* Levenshtein (edit) distance, and edit operations
* string similarity
* approximate median strings, and generally string averaging
* string sequence and set similarity
## Requirements
* Python 3.6 or later
## Installation
```bash
pip install levenshtein
```
## Documentation
The documentation for the current version can be found at [https://maxbachmann.github.io/Levenshtein/](https://maxbachmann.github.io/Levenshtein/)
## Support the project
If you are using Levenshtein for your work and feel like giving a bit of your own benefit back to support the project, consider sending us money through GitHub Sponsors or PayPal that we can use to buy us free time for the maintenance of this great library, to fix bugs in the software, review and integrate code contributions, to improve its features and documentation, or to just take a deep breath and have a cup of tea every once in a while. Thank you for your support.
Support the project through [GitHub Sponsors](https://github.com/sponsors/maxbachmann) or via [PayPal](https://www.paypal.com/donate/?hosted_button_id=VGWQBBD5CTWJU):
[](https://www.paypal.com/donate/?hosted_button_id=VGWQBBD5CTWJU).
## License
Levenshtein is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the Free
Software Foundation; either version 2 of the License, or (at your option)
any later version.
See the file [COPYING](https://github.com/maxbachmann/Levenshtein/blob/main/COPYING) for the full text of GNU General Public License version 2.
%package help
Summary: Development documents and examples for Levenshtein
Provides: python3-Levenshtein-doc
%description help
# Levenshtein
<p>
<a href="https://github.com/maxbachmann/Levenshtein/actions">
<img src="https://github.com/maxbachmann/Levenshtein/workflows/Build/badge.svg"
alt="Continous Integration">
</a>
<a href="https://pypi.org/project/levenshtein/">
<img src="https://img.shields.io/pypi/v/levenshtein"
alt="PyPI package version">
</a>
<a href="https://www.python.org">
<img src="https://img.shields.io/pypi/pyversions/levenshtein"
alt="Python versions">
</a>
<a href="https://maxbachmann.github.io/Levenshtein">
<img src="https://img.shields.io/badge/-documentation-blue"
alt="Documentation">
</a>
<a href="https://github.com/maxbachmann/Levenshtein/blob/main/COPYING">
<img src="https://img.shields.io/github/license/maxbachmann/Levenshtein"
alt="GitHub license">
</a>
</p>
## Introduction
The Levenshtein Python C extension module contains functions for fast
computation of:
* Levenshtein (edit) distance, and edit operations
* string similarity
* approximate median strings, and generally string averaging
* string sequence and set similarity
## Requirements
* Python 3.6 or later
## Installation
```bash
pip install levenshtein
```
## Documentation
The documentation for the current version can be found at [https://maxbachmann.github.io/Levenshtein/](https://maxbachmann.github.io/Levenshtein/)
## Support the project
If you are using Levenshtein for your work and feel like giving a bit of your own benefit back to support the project, consider sending us money through GitHub Sponsors or PayPal that we can use to buy us free time for the maintenance of this great library, to fix bugs in the software, review and integrate code contributions, to improve its features and documentation, or to just take a deep breath and have a cup of tea every once in a while. Thank you for your support.
Support the project through [GitHub Sponsors](https://github.com/sponsors/maxbachmann) or via [PayPal](https://www.paypal.com/donate/?hosted_button_id=VGWQBBD5CTWJU):
[](https://www.paypal.com/donate/?hosted_button_id=VGWQBBD5CTWJU).
## License
Levenshtein is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the Free
Software Foundation; either version 2 of the License, or (at your option)
any later version.
See the file [COPYING](https://github.com/maxbachmann/Levenshtein/blob/main/COPYING) for the full text of GNU General Public License version 2.
%prep
%autosetup -n Levenshtein-0.21.0
%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-Levenshtein -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 0.21.0-1
- Package Spec generated
|
