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.\" ========================================================================
.\"
.IX Title "Algorithm::Diff::XS 3"
.TH Algorithm::Diff::XS 3 "2008-10-24" "perl v5.26.3" "User Contributed Perl Documentation"
.\" For nroff, turn off justification. Always turn off hyphenation; it makes
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.SH "NAME"
Algorithm::Diff::XS \- Algorithm::Diff with XS core loop
.SH "SYNOPSIS"
.IX Header "SYNOPSIS"
.Vb 3
\& # 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 );
.Ve
.SH "DESCRIPTION"
.IX Header "DESCRIPTION"
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.
.PP
Note that only the \f(CW\*(C`LCSidx\*(C'\fR function is optimized in \s-1XS\s0 at the
moment, which means only \f(CW\*(C`compact_diff\*(C'\fR will get significantly
faster for large data sets, while \f(CW\*(C`diff\*(C'\fR and \f(CW\*(C`sdiff\*(C'\fR will run
in identical speed as \f(CW\*(C`Algorithm::Diff\*(C'\fR.
.SH "BENCHMARK"
.IX Header "BENCHMARK"
.Vb 3
\& Rate Algorithm::Diff Algorithm::Diff::XS
\&Algorithm::Diff 14.7/s \-\- \-98%
\&Algorithm::Diff::XS 806/s 5402% \-\-
.Ve
.PP
The benchmarking script is as below:
.PP
.Vb 9
\& my @data = ([qw/a b d/ x 50], [qw/b a d c/ x 50]);
\& cmpthese( 500, {
\& \*(AqAlgorithm::Diff\*(Aq => sub {
\& Algorithm::Diff::compact_diff(@data)
\& },
\& \*(AqAlgorithm::Diff::XS\*(Aq => sub {
\& Algorithm::Diff::XS::compact_diff(@data)
\& },
\& });
.Ve
.SH "SEE ALSO"
.IX Header "SEE ALSO"
Algorithm::Diff, Algorithm::LCS.
.SH "AUTHORS"
.IX Header "AUTHORS"
Audrey Tang <cpan@audreyt.org>
.SH "COPYRIGHT"
.IX Header "COPYRIGHT"
Copyright 2008 by Audrey Tang <cpan@audreyt.org>.
.PP
Contains derived code copyrighted 2003 by Joe Schaefer,
<joe+cpan@sunstarsys.com>.
.PP
This library is free software; you can redistribute it and/or modify
it under the same terms as Perl itself.