Finds best pairings of elements between two sequences
Fuzzy Sequence Matcher
Finds best pairings of elements between two sequences.
Each element can only be used at most once, and the order of elements is preserved. That is, if X1 -> Y2, then X2 cannot match to Y1 or Y2; it must match to Y3 or later. This is appropriate for sequences where Y is a garbled or mutated copy of X.
>>> from fuzzy_sequence_matcher.fuzzy_sequence_matcher import best_matches >>> from jellyfish import jaro_distance >>> declaration = "We hold these truths to be self evident".split() >>> degradation = ("I guess wee hold them tooths and stuff " ... "for being sort of evidence, y'know?").split() >>> best_matches(declaration, degradation, scorer=jaro_distance) [('We', 'wee'), ('hold', 'hold'), ('these', 'them'), ('truths', 'tooths'), ('to', 'for'), ('be', 'being'), ('self', 'sort'), ('evident', 'evidence,')]
Match any objects you can write a scoring function for
No dependencies outside standard library
The matching is done with a scoring function you specify. It should look something like:
def score(element_from_seq1: Any, element_from_seq2: Any) -> float
with high scores indicating better matches.
For comparing strings, you might use jellyfish.jaro_distance. For comparing numbers, -abs(n1 - n2) works.
By default, fuzzy_sequence_matcher finds the combination that maximizes the sum scores of all the pairings. However, when one sequence is much longer than the other, the number of possible combinations grows impractically large to try them all. The itertools documentation gives the number of combinations as
len(Y)! / len(X)! / (len(Y) - len(X))!
when len(Y) >= len(X).
This function is exposed as fuzzy_sequence_matcher.n_combinations.
If the number of possible combinations exceeds a threshold - by default, 1_000_000, which happens when the long seq is ~ 15 or more elements longer than the short - then elements from the longer sequence will be dropped from consideration entirely, starting with those whose best match to the shorter sequence is worst, until n_combinations is under the threshold. This could conceivably give a result that is not the ideal-scoring set of matches.
Free software: MIT license
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
Thanks to Dayton Dynamic Languages for advice and brainstorming
First release on PyPI.
Allow scorers that handle the arguments differently.
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