Fast banded edit distance
Project description
tinyalign
A small Python module providing edit distance (aka Levenshtein distance, that is, counting insertions, deletions and substitutions) and Hamming distance computation.
Its main purpose is to speed up computation of edit distance by
allowing to specify a maximum number of differences maxdiff
(banding). If
that parameter is provided, the returned edit distance is anly accurate up to
maxdiff
. That is, if the actual edit distance is higher than maxdiff
, a
value larger than maxdiff
is returned, but not necessarily the actual edit
distance.
For computing regular edit distances or if your maxdiff is less than 4, you
should prefer https://github.com/fujimotos/polyleven, as that is
faster in that case. When maxdiff
is 4 or more, but not too close to the
length of the shortest string, this module is faster.
>>> from tinyalign import edit_distance, hamming_distance
>>> edit_distance("banana", "ananas")
2
>>> hamming_distance("hello", "yello")
1
>>> edit_distance("hello", "world", maxdiff=2)
3
Changes
v0.2.2
- Added type hints
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