## no critic
package Bencher::ScenarioR::TextTableTiny::Render;

our $VERSION = 0.002; # VERSION

our $results = [[200,"OK",[{dataset=>"large (30x300)",errors=>6.7e-05,modver=>"1.00",pct_faster_vs_slowest=>0,pct_slower_vs_fastest=>2411.34213802337,rate=>64,samples=>21,time=>16},{dataset=>"large (30x300)",errors=>3.5e-05,modver=>"0.05_03",pct_faster_vs_slowest=>0.016949178709136,pct_slower_vs_fastest=>2371.13637468637,rate=>65,samples=>20,time=>15},{dataset=>"large (30x300)",errors=>3.8e-05,modver=>"0.05_02",pct_faster_vs_slowest=>0.0198127881862854,pct_slower_vs_fastest=>2364.47547350693,rate=>65,samples=>20,time=>15},{dataset=>"large (30x300)",errors=>4.7e-05,modver=>"0.05_01",pct_faster_vs_slowest=>0.458940818995296,pct_slower_vs_fastest=>1652.4886861858,rate=>93,samples=>20,time=>11},{dataset=>"long (3x300)",errors=>8.9e-06,modver=>"0.05_02",pct_faster_vs_slowest=>2.03832016758979,pct_slower_vs_fastest=>792.972328445232,rate=>190,samples=>22,time=>5.2},{dataset=>"large (30x300)",errors=>3.6e-05,modver=>0.04,pct_faster_vs_slowest=>3.13230979973101,pct_slower_vs_fastest=>582.775722280164,rate=>260,samples=>20,time=>3.8},{dataset=>"large (30x300)",errors=>1.5e-05,modver=>0.02,pct_faster_vs_slowest=>3.27953174581965,pct_slower_vs_fastest=>562.693011596375,rate=>270,samples=>20,time=>3.7},{dataset=>"large (30x300)",errors=>1.6e-05,modver=>0.03,pct_faster_vs_slowest=>3.32446496950922,pct_slower_vs_fastest=>556.835976249599,rate=>270,samples=>21,time=>3.6},{dataset=>"large (30x300)",errors=>6e-06,modver=>0.05,pct_faster_vs_slowest=>3.35454920814522,pct_slower_vs_fastest=>552.982059385405,rate=>280,samples=>20,time=>3.6},{dataset=>"large (30x300)",errors=>1.4e-05,modver=>0.001,pct_faster_vs_slowest=>3.73226948723965,pct_slower_vs_fastest=>508.764320169876,rate=>300,samples=>20,time=>3.3},{dataset=>"long (3x300)",errors=>2.7e-06,modver=>"1.00",pct_faster_vs_slowest=>7.86336839259268,pct_slower_vs_fastest=>271.169905522535,rate=>560,samples=>20,time=>1.8},{dataset=>"long (3x300)",errors=>2e-06,modver=>"0.05_03",pct_faster_vs_slowest=>7.92929276718648,pct_slower_vs_fastest=>269.160493212664,rate=>570,samples=>20,time=>1.8},{dataset=>"long (3x300)",errors=>2.6e-05,modver=>"0.05_01",pct_faster_vs_slowest=>10.006471221043,pct_slower_vs_fastest=>218.174891713819,rate=>700,samples=>20,time=>1},{dataset=>"long (3x300)",errors=>4.3e-07,modver=>0.05,pct_faster_vs_slowest=>30.7032404869763,pct_slower_vs_fastest=>75.0913427450535,rate=>2020,samples=>20,time=>0.496},{dataset=>"long (3x300)",errors=>6.8e-07,modver=>0.03,pct_faster_vs_slowest=>30.7585780796394,pct_slower_vs_fastest=>74.9587577244188,rate=>2000,samples=>21,time=>0.5},{dataset=>"long (3x300)",errors=>6.9e-07,modver=>0.02,pct_faster_vs_slowest=>30.856121729998,pct_slower_vs_fastest=>74.7261715179766,rate=>2000,samples=>20,time=>0.49},{dataset=>"long (3x300)",errors=>4.8e-07,modver=>0.04,pct_faster_vs_slowest=>30.9092784958767,pct_slower_vs_fastest=>74.6000214274696,rate=>2030,samples=>20,time=>0.493},{dataset=>"long (3x300)",errors=>4.1e-07,modver=>0.001,pct_faster_vs_slowest=>34.143871137877,pct_slower_vs_fastest=>67.6419014160173,rate=>2230,samples=>22,time=>0.448},{dataset=>"wide (30x5)",errors=>6.4e-07,modver=>"0.05_03",pct_faster_vs_slowest=>45.520555955501,pct_slower_vs_fastest=>50.8554021652468,rate=>3000,samples=>20,time=>0.34},{dataset=>"wide (30x5)",errors=>2.1e-07,modver=>"1.00",pct_faster_vs_slowest=>45.6781543780319,pct_slower_vs_fastest=>50.6803239152636,rate=>2970,samples=>20,time=>0.337},{dataset=>"wide (30x5)",errors=>2e-07,modver=>"0.05_02",pct_faster_vs_slowest=>46.0085299364242,pct_slower_vs_fastest=>50.3171150275471,rate=>2990,samples=>22,time=>0.335},{dataset=>"wide (30x5)",errors=>2.6e-07,modver=>"0.05_01",pct_faster_vs_slowest=>64.8204487370741,pct_slower_vs_fastest=>35.650344753189,rate=>4200,samples=>21,time=>0.24},{dataset=>"wide (30x5)",errors=>1e-07,modver=>0.05,pct_faster_vs_slowest=>161.936462718179,pct_slower_vs_fastest=>13.8054161590328,rate=>10000,samples=>21,time=>0.097},{dataset=>"wide (30x5)",errors=>1e-07,modver=>0.02,pct_faster_vs_slowest=>162.356105506668,pct_slower_vs_fastest=>13.7673827711625,rate=>10000,samples=>22,time=>0.096},{dataset=>"wide (30x5)",errors=>2.7e-08,modver=>0.04,pct_faster_vs_slowest=>163.379471735508,pct_slower_vs_fastest=>13.6754464687957,rate=>10400,samples=>20,time=>0.0957},{dataset=>"wide (30x5)",errors=>1e-07,modver=>0.03,pct_faster_vs_slowest=>164.101912312058,pct_slower_vs_fastest=>13.6112307497918,rate=>10000,samples=>22,time=>0.095},{dataset=>"wide (30x5)",errors=>1.1e-07,modver=>0.001,pct_faster_vs_slowest=>177.136410468733,pct_slower_vs_fastest=>12.542105915774,rate=>11000,samples=>20,time=>0.088},{dataset=>"small (3x5)",errors=>4.7e-08,modver=>"1.00",pct_faster_vs_slowest=>326.431708511097,pct_slower_vs_fastest=>6.36746648329452,rate=>20800,samples=>26,time=>0.048},{dataset=>"small (3x5)",errors=>0,modver=>"0.05_02",pct_faster_vs_slowest=>331.23930568204,pct_slower_vs_fastest=>6.2608571495512,rate=>21119.6,samples=>21,time=>0.0473494},{dataset=>"small (3x5)",errors=>1.3e-08,modver=>"0.05_03",pct_faster_vs_slowest=>332.931062631286,pct_slower_vs_fastest=>6.22407229508621,rate=>21200,samples=>20,time=>0.0471},{dataset=>"small (3x5)",errors=>5.2e-08,modver=>"0.05_01",pct_faster_vs_slowest=>424.404958601864,pct_slower_vs_fastest=>4.67069586107265,rate=>27000,samples=>21,time=>0.037},{dataset=>"tiny (1x1)",errors=>1e-06,modver=>"0.05_03",pct_faster_vs_slowest=>753.583297011563,pct_slower_vs_fastest=>2.19691960791759,rate=>50000,samples=>20,time=>0.02},{dataset=>"small (3x5)",errors=>0,modver=>0.05,pct_faster_vs_slowest=>887.104825591538,pct_slower_vs_fastest=>1.71628085841847,rate=>56454.5,samples=>21,time=>0.0177134},{dataset=>"small (3x5)",errors=>1.7e-11,modver=>0.03,pct_faster_vs_slowest=>905.299979931776,pct_slower_vs_fastest=>1.66174797687292,rate=>57611.1,samples=>20,time=>0.0173578},{dataset=>"small (3x5)",errors=>2.7e-08,modver=>0.04,pct_faster_vs_slowest=>910.267307241109,pct_slower_vs_fastest=>1.64723876172713,rate=>58000,samples=>20,time=>0.017},{dataset=>"small (3x5)",errors=>3.3e-08,modver=>0.02,pct_faster_vs_slowest=>912.384703991396,pct_slower_vs_fastest=>1.64110196665401,rate=>58000,samples=>20,time=>0.017},{dataset=>"small (3x5)",errors=>2.3e-11,modver=>0.001,pct_faster_vs_slowest=>991.980321293374,pct_slower_vs_fastest=>1.42939571539671,rate=>63121,samples=>23,time=>0.015843},{dataset=>"tiny (1x1)",errors=>2.7e-08,modver=>"1.00",pct_faster_vs_slowest=>1051.20186846916,pct_slower_vs_fastest=>1.29266095253477,rate=>67000,samples=>20,time=>0.015},{dataset=>"tiny (1x1)",errors=>2.7e-08,modver=>"0.05_02",pct_faster_vs_slowest=>1078.56611809865,pct_slower_vs_fastest=>1.23454784063807,rate=>69000,samples=>20,time=>0.015},{dataset=>"tiny (1x1)",errors=>2.7e-08,modver=>"0.05_01",pct_faster_vs_slowest=>1201.38743294302,pct_slower_vs_fastest=>1.00629353894594,rate=>76000,samples=>20,time=>0.013},{dataset=>"tiny (1x1)",errors=>3e-09,modver=>0.05,pct_faster_vs_slowest=>2104.68335842711,pct_slower_vs_fastest=>0.145633852482608,rate=>134000,samples=>24,time=>0.00747},{dataset=>"tiny (1x1)",errors=>2.3e-08,modver=>0.02,pct_faster_vs_slowest=>2140.28297383292,pct_slower_vs_fastest=>0.126587269175941,rate=>140000,samples=>20,time=>0.0073},{dataset=>"tiny (1x1)",errors=>1e-08,modver=>0.03,pct_faster_vs_slowest=>2190.17645406693,pct_slower_vs_fastest=>0.100934675318342,rate=>140000,samples=>20,time=>0.0072},{dataset=>"tiny (1x1)",errors=>1.3e-08,modver=>0.04,pct_faster_vs_slowest=>2200.61617400796,pct_slower_vs_fastest=>0.0957142150858146,rate=>140000,samples=>20,time=>0.0071},{dataset=>"tiny (1x1)",errors=>3.3e-09,modver=>0.001,pct_faster_vs_slowest=>2411.34213802337,pct_slower_vs_fastest=>0,rate=>153000,samples=>20,time=>0.00652}],{"func.bencher_args"=>{action=>"bench",include_path=>["archive/Text-Table-Tiny-0.001/lib","archive/Text-Table-Tiny-0.02/lib","archive/Text-Table-Tiny-0.03/lib","archive/Text-Table-Tiny-0.04/lib","archive/Text-Table-Tiny-0.05/lib","archive/Text-Table-Tiny-0.05_01/lib","archive/Text-Table-Tiny-0.05_02/lib","archive/Text-Table-Tiny-0.05_03/lib","archive/Text-Table-Tiny-1.00/lib"],multimodver=>"Text::Table::Tiny",note=>"Run by Pod::Weaver::Plugin::Bencher::Scenario",scenario=>{datasets=>[{args=>{table=>[["col1"],["row1.1"]]},include_by_default=>1,name=>"tiny (1x1)",seq=>0},{args=>{table=>[["col1","col2","col3"],["row1.1","row1.2","row1.3"],["row2.1","row2.2","row2.3"],["row3.1","row3.2","row3.3"],["row4.1","row4.2","row4.3"],["row5.1","row5.2","row5.3"]]},include_by_default=>1,name=>"small 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1;
# ABSTRACT: Benchmark Text::Table::Tiny's rendering speed

=head1 DESCRIPTION

This module is automatically generated by Pod::Weaver::Plugin::Bencher::Scenario during distribution build.

A Bencher::ScenarioR::* module contains the raw result of sample benchmark and might be useful for some stuffs later.