python3-fuzzywuzzy 0.10.0-1 / usr / lib / python3 / dist-packages / fuzzywuzzy-0.10.0.egg-info / PKG-INFO

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Metadata-Version: 1.1
Name: fuzzywuzzy
Version: 0.10.0
Summary: Fuzzy string matching in python
Home-page: https://github.com/seatgeek/fuzzywuzzy
Author: Adam Cohen
Author-email: adam@seatgeek.com
License: Copyright (c) 2014 SeatGeek, Inc.

Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:

The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Description: |Build Status|
        
        FuzzyWuzzy
        ==========
        
        Fuzzy string matching like a boss. It uses `Levenshtein Distance <https://en.wikipedia.org/wiki/Levenshtein_distance>`_ to help calculate differences between sequences in a simple to use package.
        
        Requirements
        ============
        
        -  Python 2.4 or higher
        -  difflib
        -  python-Levenshtein (optional, provides a 4-10x speedup in String
           Matching)
        
        Installation
        ============
        
        Using PIP via PyPI
        
        .. code:: bash
        
            pip install fuzzywuzzy
        
        Using PIP via Github
        
        .. code:: bash
        
            pip install git+git://github.com/seatgeek/fuzzywuzzy.git@0.10.0#egg=fuzzywuzzy
        
        Adding to your ``requirements.txt`` file (run ``pip install -r requirements.txt`` afterwards)
        
        .. code:: bash
        
            git+ssh://git@github.com/seatgeek/fuzzywuzzy.git@0.10.0#egg=fuzzywuzzy
            
        Manually via GIT
        
        .. code:: bash
        
            git clone git://github.com/seatgeek/fuzzywuzzy.git fuzzywuzzy
            cd fuzzywuzzy
            python setup.py install
        
        
        Usage
        =====
        
        .. code:: python
        
            >>> from fuzzywuzzy import fuzz
            >>> from fuzzywuzzy import process
        
        Simple Ratio
        ~~~~~~~~~~~~
        
        .. code:: python
        
            >>> fuzz.ratio("this is a test", "this is a test!")
                96
        
        Partial Ratio
        ~~~~~~~~~~~~~
        
        .. code:: python
        
            >>> fuzz.partial_ratio("this is a test", "this is a test!")
                100
        
        Token Sort Ratio
        ~~~~~~~~~~~~~~~~
        
        .. code:: python
        
            >>> fuzz.ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear")
                90
            >>> fuzz.token_sort_ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear")
                100
        
        Token Set Ratio
        ~~~~~~~~~~~~~~~
        
        .. code:: python
        
            >>> fuzz.token_sort_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear")
                84
            >>> fuzz.token_set_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear")
                100
        
        Process
        ~~~~~~~
        
        .. code:: python
        
            >>> choices = ["Atlanta Falcons", "New York Jets", "New York Giants", "Dallas Cowboys"]
            >>> process.extract("new york jets", choices, limit=2)
                [('New York Jets', 100), ('New York Giants', 78)]
            >>> process.extractOne("cowboys", choices)
                ("Dallas Cowboys", 90)
        
        .. |Build Status| image:: https://api.travis-ci.org/seatgeek/fuzzywuzzy.png?branch=master
           :target: https:travis-ci.org/seatgeek/fuzzywuzzy
        
        Known Ports
        ============
        Some people are porting FuzzyWuzzy to other languages. Here is one port we know about:
        
        -  Java: https://github.com/WantedTechnologies/xpresso/wiki/Approximate-string-comparison-and-pattern-matching-in-Java
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3

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