[Bug 2168858] New: Review Request: python-rapidfuzz - Rapid fuzzy string matching in Python and C++ using the Levenshtein Distance

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https://bugzilla.redhat.com/show_bug.cgi?id=2168858

            Bug ID: 2168858
           Summary: Review Request: python-rapidfuzz - Rapid fuzzy string
                    matching in Python and C++ using the Levenshtein
                    Distance
           Product: Fedora
           Version: rawhide
          Hardware: All
                OS: Linux
            Status: NEW
         Component: Package Review
          Severity: medium
          Priority: medium
          Assignee: nobody@xxxxxxxxxxxxxxxxx
          Reporter: thrnciar@xxxxxxxxxx
        QA Contact: extras-qa@xxxxxxxxxxxxxxxxx
                CC: package-review@xxxxxxxxxxxxxxxxxxxxxxx
  Target Milestone: ---
    Classification: Fedora



Spec URL:
https://download.copr.fedorainfracloud.org/results/thrnciar/python-rapidfuzz/fedora-rawhide-x86_64/05512628-python-rapidfuzz/python-rapidfuzz.spec
SRPM URL:
https://download.copr.fedorainfracloud.org/results/thrnciar/python-rapidfuzz/fedora-rawhide-x86_64/05512628-python-rapidfuzz/python-rapidfuzz-2.13.7-1.fc38.src.rpm
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}

Fedora Account System Username: thrnciar


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https://bugzilla.redhat.com/show_bug.cgi?id=2168858
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