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Algorithm::Diff::XS

Module Version: 0.04
Algorithm::Diff::XS - Algorithm::Diff with XS core loop

# Drop-in replacement to Algorithm::Diff, but "compact_diff" # and C<LCSidx> will run much faster for large data sets. use Algorithm::Diff::XS qw( compact_diff LCSidx );

This module is a simple re-packaging of Joe Schaefer's excellent but not very well-known Algorithm::LCS with a drop-in interface that simply re-uses the installed version of the Algorithm::Diff module.

Note that only the `LCSidx`

function is optimized in XS at the moment, which means only `compact_diff`

will get significantly faster for large data sets, while `diff`

and `sdiff`

will run in identical speed as `Algorithm::Diff`

.

Rate Algorithm::Diff Algorithm::Diff::XS Algorithm::Diff 14.7/s -- -98% Algorithm::Diff::XS 806/s 5402% --

The benchmarking script is as below:

my @data = ([qw/a b d/ x 50], [qw/b a d c/ x 50]); cmpthese( 500, { 'Algorithm::Diff' => sub { Algorithm::Diff::compact_diff(@data) }, 'Algorithm::Diff::XS' => sub { Algorithm::Diff::XS::compact_diff(@data) }, });

Algorithm::Diff, Algorithm::LCS.

Audrey Tang <cpan@audreyt.org>

Copyright 2008 by Audrey Tang <cpan@audreyt.org>.

Contains derived code copyrighted 2003 by Joe Schaefer, <joe+cpan@sunstarsys.com>.

This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself.

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