Bencher-Scenarios-LevenshteinModules

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Changes  view on Meta::CPAN

        - [build] Rebuild with new version of Bencher (0.28) for a nicer results
          table.


0.06    2016-01-11 (PERLANCAR)

	- Set on_result_failure to warn by default, because the results are
	  different for some modules due to algorithm difference.

	- Also tag PERLANCAR::Text::Levenshtein as no_unicode_support.


0.05    2016-01-10 (PERLANCAR)

	- Exclude Text::LevenshteinXS from Unicode tests [RT#111029].


0.04    2016-01-10 (PERLANCAR)

	- Add some Unicode datasets [RT#111029].

lib/Bencher/Scenario/DamerauLevenshteinModules.pm  view on Meta::CPAN

        },
        {
            module => 'Text::Fuzzy',
            code_template => "Text::Fuzzy->new(<word1>, trans=>1)->distance(<word2>)",
        },
    ],
    datasets => [
        { name=>"a",       args => {word1=>"a"      , word2=>"aa"},      result => 1 },
        { name=>"foo",     args => {word1=>"foo"    , word2=>"bar"},     result => 3 },
        { name=>"program", args => {word1=>"program", word2=>"porgram"}, result => 1 },
        { name=>"reve"   , args => {word1=>"reve"   , word2=>"rêves"},   result => 2, tags=>['unicode'], exclude_participant_tags=>['no_unicode_support'] },
        { name=>"euro"   , args => {word1=>"Euro"   , word2=>"€uro"},    result => 1, tags=>['unicode'], exclude_participant_tags=>['no_unicode_support'] },
    ],
    on_result_failure => 'warn',
};

1;
# ABSTRACT: Benchmark various modules calculating the Damerau-Levenshtein edit distance

__END__

=pod

lib/Bencher/Scenario/DamerauLevenshteinModules.pm  view on Meta::CPAN

=head1 BENCHMARK DATASETS

=over

=item * a

=item * foo

=item * program

=item * reve [unicode]

=item * euro [unicode]

=back

=head1 SAMPLE BENCHMARK RESULTS

Run on: perl: I<< v5.24.0 >>, CPU: I<< Intel(R) Core(TM) M-5Y71 CPU @ 1.20GHz (2 cores) >>, OS: I<< GNU/Linux LinuxMint version 17.3 >>, OS kernel: I<< Linux version 3.19.0-32-generic >>.

Benchmark with default options (C<< bencher -m DamerauLevenshteinModules >>):

 #table1#

lib/Bencher/Scenario/LevenshteinModules.pm  view on Meta::CPAN

use warnings;

our $scenario = {
    summary => 'Benchmark various modules calculating the Levenshtein edit distance',
    modules => {
        'Text::Levenshtein' => {version => 0.11},
    },
    participants => [
        {
            fcall_template => "PERLANCAR::Text::Levenshtein::editdist(<word1>, <word2>)",
            tags => ['no_unicode_support'],
        },
        {
            fcall_template => "Text::Levenshtein::fastdistance(<word1>, <word2>)",
        },
        {
            fcall_template => "Text::Levenshtein::XS::distance(<word1>, <word2>)",
        },
        {
            fcall_template => "Text::Levenshtein::Flexible::levenshtein(<word1>, <word2>)",
        },
        {
            fcall_template => "Text::LevenshteinXS::distance(<word1>, <word2>)",
            tags => ['no_unicode_support'],
        },
        {
            module => 'Text::Fuzzy',
            code_template => "Text::Fuzzy->new(<word1>)->distance(<word2>)",
        },
    ],
    datasets => [
        { name=>"a",       args => {word1=>"a"      , word2=>"aa"},      result => 1 },
        { name=>"foo",     args => {word1=>"foo"    , word2=>"bar"},     result => 3 },
        { name=>"program", args => {word1=>"program", word2=>"porgram"}, result => 2 },
        { name=>"reve"   , args => {word1=>"reve"   , word2=>"rêves"},   result => 2, tags=>['unicode'], exclude_participant_tags=>['no_unicode_support'] },
        { name=>"euro"   , args => {word1=>"Euro"   , word2=>"€uro"},    result => 1, tags=>['unicode'], exclude_participant_tags=>['no_unicode_support'] },
    ],
    on_result_failure => 'warn',
};

1;
# ABSTRACT: Benchmark various modules calculating the Levenshtein edit distance

__END__

=pod

lib/Bencher/Scenario/LevenshteinModules.pm  view on Meta::CPAN

L<Text::Levenshtein::Flexible> 0.09

L<Text::Levenshtein::XS> 0.503

L<Text::LevenshteinXS> 0.03

=head1 BENCHMARK PARTICIPANTS

=over

=item * PERLANCAR::Text::Levenshtein::editdist (perl_code) [no_unicode_support]

Function call template:

 PERLANCAR::Text::Levenshtein::editdist(<word1>, <word2>)



=item * Text::Levenshtein::fastdistance (perl_code)

Function call template:

lib/Bencher/Scenario/LevenshteinModules.pm  view on Meta::CPAN

=item * Text::Levenshtein::Flexible::levenshtein (perl_code)

Function call template:

 Text::Levenshtein::Flexible::levenshtein(<word1>, <word2>)



=item * Text::LevenshteinXS::distance (perl_code) [no_unicode_support]

Function call template:

 Text::LevenshteinXS::distance(<word1>, <word2>)



=item * Text::Fuzzy (perl_code)

Code template:

lib/Bencher/Scenario/LevenshteinModules.pm  view on Meta::CPAN

=head1 BENCHMARK DATASETS

=over

=item * a

=item * foo

=item * program

=item * reve [unicode]

=item * euro [unicode]

=back

=head1 SAMPLE BENCHMARK RESULTS

Run on: perl: I<< v5.24.0 >>, CPU: I<< Intel(R) Core(TM) M-5Y71 CPU @ 1.20GHz (2 cores) >>, OS: I<< GNU/Linux LinuxMint version 17.3 >>, OS kernel: I<< Linux version 3.19.0-32-generic >>.

Benchmark with default options (C<< bencher -m LevenshteinModules >>):

 #table1#