Collates textual sources with relaxed spelling. Uses Gotoh’s variant of the Needleman-Wunsch sequence alignment algorithm.
$ pip install super-collator>>> from super_collator.aligner import Aligner
>>> from super_collator.ngrams import NGrams
>>> from super_collator.super_collator import to_table
>>> aligner = Aligner(-0.5, -0.5, -0.5)
>>> a = "Lorem ipsum dollar amat adipiscing elit"
>>> b = "qui dolorem ipsum quia dolor sit amet consectetur adipisci velit"
>>>
>>> a = [NGrams(s).load(s, 3) for s in a.split()]
>>> b = [NGrams(s).load(s, 3) for s in b.split()]
>>>
>>> a, b, score = aligner.align(a, b, NGrams.similarity, lambda: NGrams("-"))
>>> print(to_table(list(map(str, a)), list(map(str, b)))) # doctest: +NORMALIZE_WHITESPACE
- Lorem ipsum - dollar - amat - adipiscing elit
qui dolorem ipsum quia dolor sit amet consectetur adipisci velitDocumentation: https://cceh.github.io/super-collator/
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Release files for super-collator 0.0.5
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Release files / super_collator-0.0.5.tar.gz
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