# # spec file for package python-Levenshtein # # Copyright (c) 2025 SUSE LLC # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via https://bugs.opensuse.org/ # %{?sle15_python_module_pythons} Name: python-Levenshtein Version: 0.27.1 Release: 0 Summary: Python extension computing string distances and similarities License: GPL-2.0-or-later URL: https://github.com/rapidfuzz/Levenshtein Source: https://files.pythonhosted.org/packages/source/l/levenshtein/levenshtein-%{version}.tar.gz BuildRequires: %{python_module devel} BuildRequires: %{python_module packaging} BuildRequires: %{python_module pip} BuildRequires: %{python_module pytest} BuildRequires: %{python_module rapidfuzz >= 3.9.0} BuildRequires: %{python_module scikit-build-core >= 0.11} BuildRequires: fdupes BuildRequires: gcc-c++ BuildRequires: ninja BuildRequires: python-rpm-macros Requires: (python-rapidfuzz >= 3.9.0 with python-rapidfuzz < 4.0.0) %python_subpackages %description 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 It supports both normal and Unicode strings. %prep %setup -q -n levenshtein-%{version} %build %pyproject_wheel %install %pyproject_install %python_expand %fdupes %{buildroot}%{$python_sitearch} %check %pytest_arch %files %{python_files} %license COPYING %doc HISTORY.md README.md %{python_sitearch}/ %changelog