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.build | ||
Benchmark-CSV-* | ||
examples/*/*.csv | ||
examples/*/*.png |
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# git help shortlog | ||
# newname <newaddr> oldname <oldaddr> | ||
<kentnl@cpan.org> <kentfredric@gmail.com> |
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language: perl | ||
matrix: | ||
allow_failures: | ||
- perl: "5.8" | ||
- env: STERILIZE_ENV=0 RELEASE_TESTING=1 AUTHOR_TESTING=1 | ||
- env: STERILIZE_ENV=0 DEVELOPER_DEPS=1 | ||
include: | ||
- perl: "5.21" | ||
env: STERILIZE_ENV=0 COVERAGE_TESTING=1 | ||
- perl: "5.21" | ||
env: STERILIZE_ENV=1 | ||
- perl: "5.8" | ||
env: STERILIZE_ENV=0 | ||
- perl: "5.10" | ||
env: STERILIZE_ENV=0 | ||
- perl: "5.12" | ||
env: STERILIZE_ENV=0 | ||
- perl: "5.14" | ||
env: STERILIZE_ENV=0 | ||
- perl: "5.16" | ||
env: STERILIZE_ENV=0 | ||
- perl: "5.20" | ||
env: STERILIZE_ENV=0 | ||
- perl: "5.21" | ||
env: STERILIZE_ENV=0 | ||
- perl: "5.8" | ||
env: STERILIZE_ENV=1 | ||
- perl: "5.10" | ||
env: STERILIZE_ENV=1 | ||
- perl: "5.20" | ||
env: STERILIZE_ENV=1 | ||
- perl: "5.21" | ||
env: STERILIZE_ENV=0 DEVELOPER_DEPS=1 | ||
- perl: "5.21" | ||
env: STERILIZE_ENV=0 RELEASE_TESTING=1 AUTHOR_TESTING=1 | ||
before_install: | ||
- perlbrew list | ||
- time git clone --depth 10 https://github.com/kentfredric/travis-scripts.git maint-travis-ci | ||
- time git -C ./maint-travis-ci reset --hard master | ||
- time perl ./maint-travis-ci/branch_reset.pl | ||
- time perl ./maint-travis-ci/sterilize_env.pl | ||
install: | ||
- time perl ./maint-travis-ci/install_deps_early.pl | ||
- time perl ./maint-travis-ci/install_deps.pl | ||
before_script: | ||
- time perl ./maint-travis-ci/before_script.pl | ||
script: | ||
- time perl ./maint-travis-ci/script.pl | ||
after_failure: | ||
- perl ./maint-travis-ci/report_fail_ctx.pl | ||
branches: | ||
only: | ||
- "master" | ||
- "build/master" | ||
- "releases" | ||
|
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# NAME | ||
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Benchmark::CSV - Report raw timing results in CSV-style format for advanced processing. | ||
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# VERSION | ||
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version 0.001000 | ||
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# SYNOPSIS | ||
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use Benchmark::CSV; | ||
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my $benchmark = Benchmark::CSV->new( | ||
output => './test.csv', | ||
sample_size => 10, | ||
); | ||
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$benchmark->add_instance( 'method_a' => sub {}); | ||
$benchmark->add_instance( 'method_b' => sub {}); | ||
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$benchmark->run_iterations(100_000); | ||
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# RATIONALE. | ||
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I've long found all the other bench-marking utilities well meaning, but easily confusing. | ||
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My biggest misgiving is that they give you one, or two values which it has decided is "the time" your code took, | ||
whether its an average, a median, or some other algorithm, ( Such as in `Benchmark::Dumb` ), they all amount to basically giving | ||
you a data point, which you have to take for granted. | ||
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That data point may also change wildly between test runs due to computer load or other factors. | ||
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Essentially, the flaw as I see it, is trying to convey what is essentially a _spectrum_ of results as a single point. | ||
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They also run each test sequentially, as in: | ||
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start testing -> | ||
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start test one -> | ||
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<-- end test one | ||
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record data | ||
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start test one -> | ||
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<-- end test one | ||
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record data | ||
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<-- stop testing. | ||
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And that strikes me as incredibly prone to the batches getting different results due to CPU loading variations, | ||
such that, any benchmark run on this way on anything other than a perfectly idle processor | ||
without so much as an `init` subsystem stealing CPU time, and with your kernel delivering IO | ||
perfectly the whole time. | ||
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And the final numbers don't really seem to take that into consideration. | ||
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`Benchmark::Dumb` at least gives you variation data, but its rather hard to compare and visualize the results it gives to gain | ||
meaningful insight. | ||
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So, I looked to modeling the data differently, and happened to accidentally throw some hand-collected benchmark data into a | ||
Google Spreadsheet Histogram plot, and found it hugely enlightening on what was really going on. | ||
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One recurring observation I noticed is code run-time seems to have a very lop-sided distribution | ||
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| ++ | ||
| |++ | ||
| | | | ||
| | | | ||
| | | | ||
| | +++ | ||
| | | | ||
| ++ ++++++++ | ||
| + +++++++++++++++++++++++ | ||
0 +------------------------------------- | ||
0 | ||
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Which suggests to me, that unlike many things people usually use statistics for, | ||
where you have a bunch of things evenly on both sides of the mode, code has an _inherent_ minimum run time, | ||
which you might see if your system has all factors in "ideal" conditions, and it has a closely following _sub-optimal_ but | ||
_common_ run time, which I imagine you see because the system can't deliver every cycle of code | ||
in perfect situations every time, even the kernel is selfish and says "Well, if I let your code have exactly 100% CPU for as | ||
long as you wanted it, I doubt even kernel space would be able to do anything till you were quite done" | ||
So observing the minimum time `AND` the median seem to me, useful for comparing algorithm efficiency. | ||
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Observing the maximums is useful too, however, those values trend towards being less useful, as they're likely to be impacted by | ||
CPU randomness slowing things down. | ||
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# METHODS | ||
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## `add_instance` | ||
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Add a test block. | ||
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->add_instance( name => sub { } ); | ||
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**NOTE:** You can only add test instances prior to executing the tests. | ||
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After executing tests, the number of columns and the column headings become `finalized`. | ||
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This is because of how the CSV file is written in parallel with the test batches. | ||
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CSV is written headers first, top to bottom, one column at a time. | ||
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So adding a new column is impossible after the headers have been written without starting over. | ||
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## `new` | ||
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Create a benchmark object. | ||
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my $instance = Benchmark::CSV->new( \%hash ); | ||
my $instance = Benchmark::CSV->new( %hash ); | ||
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%hash = { | ||
sample_size => # number of times to call each sub in a sample | ||
output => # A file path to write to | ||
output_fh => # An output filehandle to write to | ||
}; | ||
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## `sample_size` | ||
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The number of times to call each sub in a "Sample". | ||
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A sample is a block of timed code. | ||
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For instance: | ||
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->sample_size(4); | ||
->add_instance( x => $y ); | ||
->run_iterations(40); | ||
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This will create a timer block similar to below. | ||
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my $start = time(); | ||
# Unrolled, because benchmarking indicated unrolling was faster. | ||
$y->(); | ||
$y->(); | ||
$y->(); | ||
$y->(); | ||
return time() - $start; | ||
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That block will then be called 10 times ( 40 total code executions batched into 10 groups of 4 ) | ||
and return 10 time values. | ||
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### get:`sample_size` | ||
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my $size = $bench->sample_size; | ||
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Value will default to 1 if not passed during construction. | ||
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### set:`sample_size` | ||
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$bench->sample_size(10); | ||
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Can be performed at any time prior, but not after running tests. | ||
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## `output_fh` | ||
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An output `filehandle` to write very sloppy `CSV` data to. | ||
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Results will be in Columns, sorted by column name alphabetically. | ||
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`output_fh` defaults to `*STDOUT`, or opens a file passed to the constructor as `output` for writing. | ||
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### get:`output_fh` | ||
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my $fh = $bench->output_fh; | ||
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Either \*STDOUT or an opened `filehandle`. | ||
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### set:`output_fh` | ||
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$bench->output_fh( \*STDERR ); | ||
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Can be set at any time prior, but not after, running tests. | ||
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## `run_iterations` | ||
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Executes the attached tests `n` times in batches of [`sample_size`](#sample_size). | ||
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->run_iterations( 10_000_000 ); | ||
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Because of how it works, simply spooling results at the bottom of the data file, you can call this method | ||
multiple times as necessary and inject more results. | ||
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For instance, this could be used to give a progress report. | ||
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*STDOUT->autoflush(1); | ||
print "[__________]\r["; | ||
for ( 1 .. 10 ) { | ||
$bench->run_iterations( 1_000_000 ); | ||
print "#"; | ||
} | ||
print "]\n"; | ||
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This is also how you can do timed batches: | ||
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my $start = [gettimeofday]; | ||
# Just execute as much as possible until 10 seconds of wallclock pass. | ||
while( tv_interval( $start, [ gettimeofday ]) < 10 ) { | ||
$bench->run_iterations( 1_000 ); | ||
} | ||
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# AUTHOR | ||
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Kent Fredric <kentnl@cpan.org> | ||
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# COPYRIGHT AND LICENSE | ||
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This software is copyright (c) 2014 by Kent Fredric <kentfredric@gmail.com>. | ||
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This is free software; you can redistribute it and/or modify it under | ||
the same terms as the Perl 5 programming language system itself. |
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