Fastzy is a library written in Rust that can search through a file looking for text based on its distance (Levenshtein). For measuring the Levenshtein distance, the library uses mbleven's algorithm. In situations where the requested distance exceeds 3, where mbleven is slower, Wagner-Fischer is used instead of mbleven. This library loads the whole file into memory, and creates a lightweight index based on the length of the lines. The result is that only potential lines are looked up, opposed to a large number of lines.
| Library | Function | Time |
|---|---|---|
| polyleven | polyleven.levenshtein('text') | 8.48s |
| fastzy | fastzy.search('text) | 0.003s |
pip3 install fastzy
import fastzy
# open a file and index it in memory
searcher = fastzy.Searcher(
file_path='input_text_file.txt',
separator='',
)
# search for the input text 'text' with the distance of 1
searcher.search(
pattern='text',
max_distance=1,
)
['test', 'texts', 'next']
Distributed under the MIT License. See LICENSE for more information.
Gal Ben David - gal@intsights.com
Project Link: https://github.com/Intsights/fastzy
FAQs
Python library for fast fuzzy search over a big file written in Rust
We found that fastzy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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