This library provides a trie implementation using nested dictionaries. Apart from the basic operations, a number of functions for approximate matching are implemented.
Please see ReadTheDocs for the latest documentation.
Trie implementation for approximate string matching.
License: MIT License
This library provides a trie implementation using nested dictionaries. Apart from the basic operations, a number of functions for approximate matching are implemented.
Please see ReadTheDocs for the latest documentation.
Is there a way to retrieve all keys matching a prefix?
I see there's a has_prefix
method and a private _find
method for doing general searching, but there's no way to access it to get the keys found in has_prefix
. Am I missing something?
Hi, Thanks for the Trie implementation in Python along with string matching based on Hamming and Levenshtein distance. Wonderful (since couldn't find a simpler way to get string matches using Trie)
Is it possible to also include Damerau-Levenshtein distance measure with a parameter for edit distance, since almost all the spell correct solutions use DL distance measure to get suggestion candidates from a dictionary?
Happy to work on it if needed :)
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