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NAME

Bencher::Scenario::Text::Table::Sprintf::Render - Benchmark Text::Table::Sprintf's rendering speed

VERSION

This document describes version 0.001 of Bencher::Scenario::Text::Table::Sprintf::Render (from Perl distribution Bencher-Scenarios-Text-Table-Sprintf), released on 2023-11-11.

SYNOPSIS

To run benchmark with default option:

 % bencher -m Text::Table::Sprintf::Render

To run module startup overhead benchmark:

 % bencher --module-startup -m Text::Table::Sprintf::Render

For more options (dump scenario, list/include/exclude/add participants, list/include/exclude/add datasets, etc), see bencher or run bencher --help.

DESCRIPTION

Packaging a benchmark script as a Bencher scenario makes it convenient to include/exclude/add participants/datasets (either via CLI or Perl code), send the result to a central repository, among others . See Bencher and bencher (CLI) for more details.

BENCHMARKED MODULES

Version numbers shown below are the versions used when running the sample benchmark.

Text::Table::Sprintf 0.008

BENCHMARK PARTICIPANTS

  • Text::Table::Sprintf (perl_code)

    Code template:

     Text::Table::Sprintf::table(rows=><table>, header_row=>1)

BENCHMARK DATASETS

  • tiny (1x1)

  • small (3x5)

  • wide (30x5)

  • long (3x300)

  • large (30x300)

BENCHMARK SAMPLE RESULTS

Sample benchmark #1

Run on: perl: v5.38.0, CPU: Intel(R) Core(TM) i5-7200U CPU @ 2.50GHz (2 cores), OS: GNU/Linux Ubuntu version 20.04, OS kernel: Linux version 5.4.0-164-generic.

Benchmark command:

 % bencher -m Text::Table::Sprintf::Render --include-path archive/Text-Table-Sprintf-0.006/lib --include-path archive/Text-Table-Sprintf-0.007/lib --multimodver Text::Table::Sprintf

Result formatted as table:

 #table1#
 +----------------+--------+-----------+-----------+-----------------------+-----------------------+---------+---------+
 | dataset        | modver | rate (/s) | time (ms) | pct_faster_vs_slowest | pct_slower_vs_fastest |  errors | samples |
 +----------------+--------+-----------+-----------+-----------------------+-----------------------+---------+---------+
 | large (30x300) | 0.006  |       400 |   3       |                 0.00% |             77113.79% | 3.4e-05 |      20 |
 | large (30x300) | 0.007  |       380 |   2.7     |                 5.86% |             72838.07% | 4.8e-06 |      20 |
 | large (30x300) | 0.008  |       380 |   2.6     |                 6.36% |             72498.48% | 3.4e-06 |      20 |
 | long (3x300)   | 0.007  |      2430 |   0.411   |               584.13% |             11186.48% | 2.7e-07 |      21 |
 | long (3x300)   | 0.008  |      2440 |   0.41    |               584.98% |             11172.46% | 2.5e-07 |      20 |
 | long (3x300)   | 0.006  |      2460 |   0.406   |               592.22% |             11054.55% | 2.2e-07 |      20 |
 | wide (30x5)    | 0.007  |     10000 |   0.09    |              2861.12% |              2507.59% | 2.2e-06 |      25 |
 | wide (30x5)    | 0.008  |     12900 |   0.0776  |              3524.63% |              2030.25% | 3.9e-08 |      26 |
 | wide (30x5)    | 0.006  |     14000 |   0.073   |              3735.99% |              1912.88% | 1.2e-07 |      20 |
 | small (3x5)    | 0.007  |     78000 |   0.0128  |             21846.02% |               251.83% | 4.6e-09 |      20 |
 | small (3x5)    | 0.008  |     78200 |   0.0128  |             21897.52% |               251.01% | 1.3e-08 |      20 |
 | small (3x5)    | 0.006  |     85000 |   0.0118  |             23797.87% |               223.10% | 8.7e-09 |      20 |
 | tiny (1x1)     | 0.007  |    240000 |   0.00416 |             67483.48% |                14.25% | 3.2e-09 |      20 |
 | tiny (1x1)     | 0.008  |    242000 |   0.00414 |             67881.71% |                13.58% | 1.9e-09 |      20 |
 | tiny (1x1)     | 0.006  |    275000 |   0.00364 |             77113.79% |                 0.00% |   2e-09 |      20 |
 +----------------+--------+-----------+-----------+-----------------------+-----------------------+---------+---------+

The above result formatted in Benchmark.pm style:

                      Rate  large (30x300)  large (30x300)  large (30x300)  long (3x300)  long (3x300)  long (3x300)  wide (30x5)  wide (30x5)  wide (30x5)  small (3x5)  small (3x5)  small (3x5)  tiny (1x1)  tiny (1x1)  tiny (1x1) 
  large (30x300)     400/s              --             -9%            -13%          -86%          -86%          -86%         -97%         -97%         -97%         -99%         -99%         -99%        -99%        -99%        -99% 
  large (30x300)     380/s             11%              --             -3%          -84%          -84%          -84%         -96%         -97%         -97%         -99%         -99%         -99%        -99%        -99%        -99% 
  large (30x300)     380/s             15%              3%              --          -84%          -84%          -84%         -96%         -97%         -97%         -99%         -99%         -99%        -99%        -99%        -99% 
  long (3x300)      2430/s            629%            556%            532%            --            0%           -1%         -78%         -81%         -82%         -96%         -96%         -97%        -98%        -98%        -99% 
  long (3x300)      2440/s            631%            558%            534%            0%            --            0%         -78%         -81%         -82%         -96%         -96%         -97%        -98%        -98%        -99% 
  long (3x300)      2460/s            638%            565%            540%            1%            0%            --         -77%         -80%         -82%         -96%         -96%         -97%        -98%        -98%        -99% 
  wide (30x5)      10000/s           3233%           2900%           2788%          356%          355%          351%           --         -13%         -18%         -85%         -85%         -86%        -95%        -95%        -95% 
  wide (30x5)      12900/s           3765%           3379%           3250%          429%          428%          423%          15%           --          -5%         -83%         -83%         -84%        -94%        -94%        -95% 
  wide (30x5)      14000/s           4009%           3598%           3461%          463%          461%          456%          23%           6%           --         -82%         -82%         -83%        -94%        -94%        -95% 
  small (3x5)      78000/s          23337%          20993%          20212%         3110%         3103%         3071%         603%         506%         470%           --           0%          -7%        -67%        -67%        -71% 
  small (3x5)      78200/s          23337%          20993%          20212%         3110%         3103%         3071%         603%         506%         470%           0%           --          -7%        -67%        -67%        -71% 
  small (3x5)      85000/s          25323%          22781%          21933%         3383%         3374%         3340%         662%         557%         518%           8%           8%           --        -64%        -64%        -69% 
  tiny (1x1)      240000/s          72015%          64803%          62400%         9779%         9755%         9659%        2063%        1765%        1654%         207%         207%         183%          --          0%        -12% 
  tiny (1x1)      242000/s          72363%          65117%          62701%         9827%         9803%         9706%        2073%        1774%        1663%         209%         209%         185%          0%          --        -12% 
  tiny (1x1)      275000/s          82317%          74075%          71328%        11191%        11163%        11053%        2372%        2031%        1905%         251%         251%         224%         14%         13%          -- 
 
 Legends:
   large (30x300): dataset=large (30x300) modver=0.008
   long (3x300): dataset=long (3x300) modver=0.006
   small (3x5): dataset=small (3x5) modver=0.006
   tiny (1x1): dataset=tiny (1x1) modver=0.006
   wide (30x5): dataset=wide (30x5) modver=0.006

To display as an interactive HTML table on a browser, you can add option --format html+datatables.

HOMEPAGE

Please visit the project's homepage at https://metacpan.org/release/Bencher-Scenarios-Text-Table-Sprintf.

SOURCE

Source repository is at https://github.com/perlancar/perl-Bencher-Scenarios-Text-Table-Sprintf.

AUTHOR

perlancar <perlancar@cpan.org>

CONTRIBUTING

To contribute, you can send patches by email/via RT, or send pull requests on GitHub.

Most of the time, you don't need to build the distribution yourself. You can simply modify the code, then test via:

 % prove -l

If you want to build the distribution (e.g. to try to install it locally on your system), you can install Dist::Zilla, Dist::Zilla::PluginBundle::Author::PERLANCAR, Pod::Weaver::PluginBundle::Author::PERLANCAR, and sometimes one or two other Dist::Zilla- and/or Pod::Weaver plugins. Any additional steps required beyond that are considered a bug and can be reported to me.

COPYRIGHT AND LICENSE

This software is copyright (c) 2023 by perlancar <perlancar@cpan.org>.

This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.

BUGS

Please report any bugs or feature requests on the bugtracker website https://rt.cpan.org/Public/Dist/Display.html?Name=Bencher-Scenarios-Text-Table-Sprintf

When submitting a bug or request, please include a test-file or a patch to an existing test-file that illustrates the bug or desired feature.