-------------------------------------------------------------------------------- Fedora Update Notification FEDORA-2023-68790c5954 2023-02-28 17:00:54.364191 --------------------------------------------------------------------------------
Name : python-rapidfuzz Product : Fedora 38 Version : 2.13.7 Release : 1.fc38 URL : https://github.com/maxbachmann/RapidFuzz Summary : Rapid fuzzy string matching in Python and C++ using the Levenshtein Distance Description : RapidFuzz is a fast string matching library for Python and C++, which is using the string similarity calculations from FuzzyWuzzy. However there are a couple of aspects that set RapidFuzz apart from FuzzyWuzzy: - It is MIT licensed so it can be used whichever License you might want to choose for your project, while you're forced to adopt the GPL license when using FuzzyWuzzy - It provides many string_metrics like hamming or jaro_winkler, which are not included in FuzzyWuzzy - It is mostly written in C++ and on top of this comes with a lot of Algorithmic improvements to make string matching even faster, while still providing the same results. For detailed benchmarks check the documentation - Fixes multiple bugs in the partial_ratio implementation
-------------------------------------------------------------------------------- Update Information:
Update poetry to 1.3.2 and all necessary dependencies. -------------------------------------------------------------------------------- ChangeLog:
* Fri Feb 10 2023 Tom���� Hrn��iar thrnciar@redhat.com - 2.13.7-1 - Initial package -------------------------------------------------------------------------------- References:
[ 1 ] Bug #2154670 - update poetry to the latest version 1.3.2 in fedora python-classroom lab https://bugzilla.redhat.com/show_bug.cgi?id=2154670 --------------------------------------------------------------------------------
This update can be installed with the "dnf" update program. Use su -c 'dnf upgrade --advisory FEDORA-2023-68790c5954' at the command line. For more information, refer to the dnf documentation available at http://dnf.readthedocs.io/en/latest/command_ref.html#upgrade-command-label
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