String distance metrics based on Levenshtein and Qwerty Matrix Distance
Project description
QLev
Introduction
The QLev package is mainly used for:
- Levenshtein distance
- levenshtein distance normalized
- levenshtein distance considering the keyboard keys range
Requirements
- Python 3 or later
Installation
pip install QLev
Guide
To use simple the levenshtein distance you can:
from QLev import levenshteinDistance
diff = levenshteinDistance('Guacamole','Guecamole')
print(diff)
If you want to use the normalized metric, you can:
from QLev import levN
diff = levN('Guacamole','Guecamole')
print(diff)
If you want to know the euclidian distance between two chars, you can:
from QLev import qwertyDistance
diff = qwertyDistance('g','a')
print(diff)
To have a metric that uses levenshtein distance and the qwerty matrix between strings, you can:
from QLev import QLev
diff = QLev('Guacamole','Guecamole')
print(diff)
License
MIT License
Copyright (c) 2022 Alysson Amaral
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.
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