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<g id="gnuplot_plot_3" ><title>Point estimate</title>
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<g transform="translate(1089.0,103.0)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="start">
<text><tspan font-family="Helvetica" >Point estimate</tspan></text>
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<path stroke='rgb( 31, 120, 180)' d='M1038.5,99.1 L1080.7,99.1 M508.1,662.4 L508.1,110.8 '/></g>
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<text><tspan font-family="Helvetica" >Barbershop/100000: typical</tspan></text>
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{"group_id":"Barbershop","function_id":null,"value_str":"200000","throughput":null,"full_id":"Barbershop/200000","directory_name":"barbershop/200000","title":"Barbershop/200000"}
\ No newline at end of file
{"mean":{"confidence_interval":{"confidence_level":0.99,"lower_bound":2871071.758620371,"upper_bound":2894384.256769698},"point_estimate":2881927.6580479657,"standard_error":4565.861315314826},"median":{"confidence_interval":{"confidence_level":0.99,"lower_bound":2863304.114832536,"upper_bound":2875739.298245614},"point_estimate":2869132.6136363633,"standard_error":2856.3101024714138},"median_abs_dev":{"confidence_interval":{"confidence_level":0.99,"lower_bound":13918.830711384642,"upper_bound":30964.208313057927},"point_estimate":23404.129145152554,"standard_error":3206.0924233838723},"slope":{"confidence_interval":{"confidence_level":0.99,"lower_bound":2876043.475919835,"upper_bound":2906448.824922067},"point_estimate":2889760.417023792,"standard_error":5907.459143093556},"std_dev":{"confidence_interval":{"confidence_level":0.99,"lower_bound":30128.571056074798,"upper_bound":58479.794275589826},"point_estimate":45976.547793363316,"standard_error":5488.535738157451}}
\ No newline at end of file
group,function,value,throughput_num,throughput_type,sample_measured_value,unit,iteration_count
Barbershop,,200000,,,14249100.0,ns,5
Barbershop,,200000,,,28745500.0,ns,10
Barbershop,,200000,,,43735100.0,ns,15
Barbershop,,200000,,,56568800.0,ns,20
Barbershop,,200000,,,72134700.0,ns,25
Barbershop,,200000,,,85249800.0,ns,30
Barbershop,,200000,,,99186500.0,ns,35
Barbershop,,200000,,,115162000.0,ns,40
Barbershop,,200000,,,131544200.0,ns,45
Barbershop,,200000,,,141726000.0,ns,50
Barbershop,,200000,,,157513100.0,ns,55
Barbershop,,200000,,,172135800.0,ns,60
Barbershop,,200000,,,184430900.0,ns,65
Barbershop,,200000,,,201192400.0,ns,70
Barbershop,,200000,,,215547800.0,ns,75
Barbershop,,200000,,,228140100.0,ns,80
Barbershop,,200000,,,242246300.0,ns,85
Barbershop,,200000,,,257325900.0,ns,90
Barbershop,,200000,,,271959700.0,ns,95
Barbershop,,200000,,,286051400.0,ns,100
Barbershop,,200000,,,298613500.0,ns,105
Barbershop,,200000,,,312353500.0,ns,110
Barbershop,,200000,,,327925600.0,ns,115
Barbershop,,200000,,,341100500.0,ns,120
Barbershop,,200000,,,354830000.0,ns,125
Barbershop,,200000,,,383113000.0,ns,130
Barbershop,,200000,,,394159300.0,ns,135
Barbershop,,200000,,,401408000.0,ns,140
Barbershop,,200000,,,418245100.0,ns,145
Barbershop,,200000,,,428295500.0,ns,150
Barbershop,,200000,,,446470200.0,ns,155
Barbershop,,200000,,,478684400.0,ns,160
Barbershop,,200000,,,501267700.0,ns,165
Barbershop,,200000,,,490812800.0,ns,170
Barbershop,,200000,,,532958200.0,ns,175
Barbershop,,200000,,,514688400.0,ns,180
Barbershop,,200000,,,529072300.0,ns,185
Barbershop,,200000,,,540838000.0,ns,190
Barbershop,,200000,,,560142200.0,ns,195
Barbershop,,200000,,,573054500.0,ns,200
Barbershop,,200000,,,582979500.0,ns,205
Barbershop,,200000,,,598214000.0,ns,210
Barbershop,,200000,,,611724200.0,ns,215
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Barbershop,,200000,,,649593000.0,ns,225
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Barbershop,,200000,,,729444100.0,ns,255
Barbershop,,200000,,,740983600.0,ns,260
Barbershop,,200000,,,760406400.0,ns,265
Barbershop,,200000,,,771731000.0,ns,270
Barbershop,,200000,,,786802400.0,ns,275
Barbershop,,200000,,,797505900.0,ns,280
Barbershop,,200000,,,819585700.0,ns,285
Barbershop,,200000,,,830740100.0,ns,290
Barbershop,,200000,,,854918400.0,ns,295
Barbershop,,200000,,,863455100.0,ns,300
Barbershop,,200000,,,912939800.0,ns,305
Barbershop,,200000,,,937865600.0,ns,310
Barbershop,,200000,,,942368800.0,ns,315
Barbershop,,200000,,,952523800.0,ns,320
Barbershop,,200000,,,933451600.0,ns,325
Barbershop,,200000,,,945556600.0,ns,330
Barbershop,,200000,,,971475800.0,ns,335
Barbershop,,200000,,,971788100.0,ns,340
Barbershop,,200000,,,990979300.0,ns,345
Barbershop,,200000,,,1011427100.0,ns,350
Barbershop,,200000,,,1021893500.0,ns,355
Barbershop,,200000,,,1029466800.0,ns,360
Barbershop,,200000,,,1052214200.0,ns,365
Barbershop,,200000,,,1060294800.0,ns,370
Barbershop,,200000,,,1070389100.0,ns,375
Barbershop,,200000,,,1089067100.0,ns,380
Barbershop,,200000,,,1107492200.0,ns,385
Barbershop,,200000,,,1117401000.0,ns,390
Barbershop,,200000,,,1126238300.0,ns,395
Barbershop,,200000,,,1146982300.0,ns,400
Barbershop,,200000,,,1164635600.0,ns,405
Barbershop,,200000,,,1179225300.0,ns,410
Barbershop,,200000,,,1193161100.0,ns,415
Barbershop,,200000,,,1203833500.0,ns,420
Barbershop,,200000,,,1229497600.0,ns,425
Barbershop,,200000,,,1232060900.0,ns,430
Barbershop,,200000,,,1248873000.0,ns,435
Barbershop,,200000,,,1262507500.0,ns,440
Barbershop,,200000,,,1283282400.0,ns,445
Barbershop,,200000,,,1287951000.0,ns,450
Barbershop,,200000,,,1302029500.0,ns,455
Barbershop,,200000,,,1322138000.0,ns,460
Barbershop,,200000,,,1346339900.0,ns,465
Barbershop,,200000,,,1414380900.0,ns,470
Barbershop,,200000,,,1428037800.0,ns,475
Barbershop,,200000,,,1418428300.0,ns,480
Barbershop,,200000,,,1406141400.0,ns,485
Barbershop,,200000,,,1415232300.0,ns,490
Barbershop,,200000,,,1431569800.0,ns,495
Barbershop,,200000,,,1443162200.0,ns,500
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{"mean":{"confidence_interval":{"confidence_level":0.99,"lower_bound":-0.029850260939723542,"upper_bound":-0.014126250922386983},"point_estimate":-0.0216174555269546,"standard_error":0.003073261269543568},"median":{"confidence_interval":{"confidence_level":0.99,"lower_bound":-0.02230622414998345,"upper_bound":-0.012322158372965051},"point_estimate":-0.016153368760854936,"standard_error":0.002268599417276271}}
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{"group_id":"Barbershop","function_id":null,"value_str":"200000","throughput":null,"full_id":"Barbershop/200000","directory_name":"barbershop/200000","title":"Barbershop/200000"}
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{"mean":{"confidence_interval":{"confidence_level":0.99,"lower_bound":2871071.758620371,"upper_bound":2894384.256769698},"point_estimate":2881927.6580479657,"standard_error":4565.861315314826},"median":{"confidence_interval":{"confidence_level":0.99,"lower_bound":2863304.114832536,"upper_bound":2875739.298245614},"point_estimate":2869132.6136363633,"standard_error":2856.3101024714138},"median_abs_dev":{"confidence_interval":{"confidence_level":0.99,"lower_bound":13918.830711384642,"upper_bound":30964.208313057927},"point_estimate":23404.129145152554,"standard_error":3206.0924233838723},"slope":{"confidence_interval":{"confidence_level":0.99,"lower_bound":2876043.475919835,"upper_bound":2906448.824922067},"point_estimate":2889760.417023792,"standard_error":5907.459143093556},"std_dev":{"confidence_interval":{"confidence_level":0.99,"lower_bound":30128.571056074798,"upper_bound":58479.794275589826},"point_estimate":45976.547793363316,"standard_error":5488.535738157451}}
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group,function,value,throughput_num,throughput_type,sample_measured_value,unit,iteration_count
Barbershop,,200000,,,14249100.0,ns,5
Barbershop,,200000,,,28745500.0,ns,10
Barbershop,,200000,,,43735100.0,ns,15
Barbershop,,200000,,,56568800.0,ns,20
Barbershop,,200000,,,72134700.0,ns,25
Barbershop,,200000,,,85249800.0,ns,30
Barbershop,,200000,,,99186500.0,ns,35
Barbershop,,200000,,,115162000.0,ns,40
Barbershop,,200000,,,131544200.0,ns,45
Barbershop,,200000,,,141726000.0,ns,50
Barbershop,,200000,,,157513100.0,ns,55
Barbershop,,200000,,,172135800.0,ns,60
Barbershop,,200000,,,184430900.0,ns,65
Barbershop,,200000,,,201192400.0,ns,70
Barbershop,,200000,,,215547800.0,ns,75
Barbershop,,200000,,,228140100.0,ns,80
Barbershop,,200000,,,242246300.0,ns,85
Barbershop,,200000,,,257325900.0,ns,90
Barbershop,,200000,,,271959700.0,ns,95
Barbershop,,200000,,,286051400.0,ns,100
Barbershop,,200000,,,298613500.0,ns,105
Barbershop,,200000,,,312353500.0,ns,110
Barbershop,,200000,,,327925600.0,ns,115
Barbershop,,200000,,,341100500.0,ns,120
Barbershop,,200000,,,354830000.0,ns,125
Barbershop,,200000,,,383113000.0,ns,130
Barbershop,,200000,,,394159300.0,ns,135
Barbershop,,200000,,,401408000.0,ns,140
Barbershop,,200000,,,418245100.0,ns,145
Barbershop,,200000,,,428295500.0,ns,150
Barbershop,,200000,,,446470200.0,ns,155
Barbershop,,200000,,,478684400.0,ns,160
Barbershop,,200000,,,501267700.0,ns,165
Barbershop,,200000,,,490812800.0,ns,170
Barbershop,,200000,,,532958200.0,ns,175
Barbershop,,200000,,,514688400.0,ns,180
Barbershop,,200000,,,529072300.0,ns,185
Barbershop,,200000,,,540838000.0,ns,190
Barbershop,,200000,,,560142200.0,ns,195
Barbershop,,200000,,,573054500.0,ns,200
Barbershop,,200000,,,582979500.0,ns,205
Barbershop,,200000,,,598214000.0,ns,210
Barbershop,,200000,,,611724200.0,ns,215
Barbershop,,200000,,,633826400.0,ns,220
Barbershop,,200000,,,649593000.0,ns,225
Barbershop,,200000,,,653042900.0,ns,230
Barbershop,,200000,,,678843000.0,ns,235
Barbershop,,200000,,,684656400.0,ns,240
Barbershop,,200000,,,698549200.0,ns,245
Barbershop,,200000,,,717120700.0,ns,250
Barbershop,,200000,,,729444100.0,ns,255
Barbershop,,200000,,,740983600.0,ns,260
Barbershop,,200000,,,760406400.0,ns,265
Barbershop,,200000,,,771731000.0,ns,270
Barbershop,,200000,,,786802400.0,ns,275
Barbershop,,200000,,,797505900.0,ns,280
Barbershop,,200000,,,819585700.0,ns,285
Barbershop,,200000,,,830740100.0,ns,290
Barbershop,,200000,,,854918400.0,ns,295
Barbershop,,200000,,,863455100.0,ns,300
Barbershop,,200000,,,912939800.0,ns,305
Barbershop,,200000,,,937865600.0,ns,310
Barbershop,,200000,,,942368800.0,ns,315
Barbershop,,200000,,,952523800.0,ns,320
Barbershop,,200000,,,933451600.0,ns,325
Barbershop,,200000,,,945556600.0,ns,330
Barbershop,,200000,,,971475800.0,ns,335
Barbershop,,200000,,,971788100.0,ns,340
Barbershop,,200000,,,990979300.0,ns,345
Barbershop,,200000,,,1011427100.0,ns,350
Barbershop,,200000,,,1021893500.0,ns,355
Barbershop,,200000,,,1029466800.0,ns,360
Barbershop,,200000,,,1052214200.0,ns,365
Barbershop,,200000,,,1060294800.0,ns,370
Barbershop,,200000,,,1070389100.0,ns,375
Barbershop,,200000,,,1089067100.0,ns,380
Barbershop,,200000,,,1107492200.0,ns,385
Barbershop,,200000,,,1117401000.0,ns,390
Barbershop,,200000,,,1126238300.0,ns,395
Barbershop,,200000,,,1146982300.0,ns,400
Barbershop,,200000,,,1164635600.0,ns,405
Barbershop,,200000,,,1179225300.0,ns,410
Barbershop,,200000,,,1193161100.0,ns,415
Barbershop,,200000,,,1203833500.0,ns,420
Barbershop,,200000,,,1229497600.0,ns,425
Barbershop,,200000,,,1232060900.0,ns,430
Barbershop,,200000,,,1248873000.0,ns,435
Barbershop,,200000,,,1262507500.0,ns,440
Barbershop,,200000,,,1283282400.0,ns,445
Barbershop,,200000,,,1287951000.0,ns,450
Barbershop,,200000,,,1302029500.0,ns,455
Barbershop,,200000,,,1322138000.0,ns,460
Barbershop,,200000,,,1346339900.0,ns,465
Barbershop,,200000,,,1414380900.0,ns,470
Barbershop,,200000,,,1428037800.0,ns,475
Barbershop,,200000,,,1418428300.0,ns,480
Barbershop,,200000,,,1406141400.0,ns,485
Barbershop,,200000,,,1415232300.0,ns,490
Barbershop,,200000,,,1431569800.0,ns,495
Barbershop,,200000,,,1443162200.0,ns,500
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</g>
</g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<path stroke='black' d='M80.2,54.1 L89.2,54.1 '/> <g transform="translate(71.9,58.0)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="end">
<text><tspan font-family="Helvetica" > 0.14</tspan></text>
</g>
</g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<path stroke='black' d='M213.5,662.4 L213.5,653.4 '/> <g transform="translate(213.5,684.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
<text><tspan font-family="Helvetica" > 15</tspan></text>
</g>
</g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<path stroke='black' d='M437.5,662.4 L437.5,653.4 '/> <g transform="translate(437.5,684.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
<text><tspan font-family="Helvetica" > 20</tspan></text>
</g>
</g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<path stroke='black' d='M661.5,662.4 L661.5,653.4 '/> <g transform="translate(661.5,684.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
<text><tspan font-family="Helvetica" > 25</tspan></text>
</g>
</g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<path stroke='black' d='M885.5,662.4 L885.5,653.4 '/> <g transform="translate(885.5,684.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
<text><tspan font-family="Helvetica" > 30</tspan></text>
</g>
</g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
</g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<path stroke='black' d='M80.2,54.1 L80.2,662.4 L1013.6,662.4 L1013.6,54.1 L80.2,54.1 Z '/></g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<g transform="translate(19.0,358.3) rotate(270)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
<text><tspan font-family="Helvetica" >Density (a.u.)</tspan></text>
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</g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<g transform="translate(546.9,711.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
<text><tspan font-family="Helvetica" >Average time (us)</tspan></text>
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</g>
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<g id="gnuplot_plot_1" ><title>Bootstrap distribution</title>
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<g transform="translate(1089.0,67.0)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="start">
<text><tspan font-family="Helvetica" >Bootstrap distribution</tspan></text>
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<g id="gnuplot_plot_2" ><title>Confidence interval</title>
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<text><tspan font-family="Helvetica" >Confidence interval</tspan></text>
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<path stroke='black' d='M835.0,662.4 L835.0,653.4 '/> <g transform="translate(835.0,684.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
<text><tspan font-family="Helvetica" > 55</tspan></text>
</g>
</g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<path stroke='black' d='M969.7,662.4 L969.7,653.4 '/> <g transform="translate(969.7,684.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
<text><tspan font-family="Helvetica" > 60</tspan></text>
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</g>
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</g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<path stroke='black' d='M80.2,54.1 L80.2,662.4 L1013.6,662.4 L1013.6,54.1 L80.2,54.1 Z '/></g>
<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<g transform="translate(19.0,358.3) rotate(270)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
<text><tspan font-family="Helvetica" >Density (a.u.)</tspan></text>
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</g>
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<g transform="translate(546.9,711.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
<text><tspan font-family="Helvetica" >Average time (us)</tspan></text>
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</g>
<g id="gnuplot_plot_1" ><title>Bootstrap distribution</title>
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<g transform="translate(1089.0,67.0)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="start">
<text><tspan font-family="Helvetica" >Bootstrap distribution</tspan></text>
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<g id="gnuplot_plot_2" ><title>Confidence interval</title>
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<text><tspan font-family="Helvetica" >Confidence interval</tspan></text>
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824.7,528.4 826.5,531.9 828.4,535.4 830.3,538.7 832.2,541.9 834.0,544.9 835.9,547.9 837.8,550.7 839.6,553.4 841.5,556.0 843.4,558.5 845.3,560.9 847.1,563.1 849.0,565.3 850.9,567.5 852.7,569.5
854.6,571.5 856.5,573.5 858.3,575.4 860.2,577.3 862.1,579.3 864.0,581.2 865.8,583.1 867.7,585.1 869.6,587.1 871.4,589.1 873.3,591.1 875.2,593.2 877.1,595.3 878.9,597.4 880.8,599.5 882.7,601.6
884.5,603.7 886.4,605.8 888.3,607.8 890.1,609.8 892.0,611.7 893.9,613.5 895.8,615.2 897.6,616.9 899.5,618.5 901.4,620.1 903.2,621.6 905.1,623.0 907.0,624.4 908.8,625.7 910.7,627.1 912.6,628.3
914.5,629.6 916.3,630.8 918.2,632.0 920.1,633.2 921.9,634.3 923.8,635.4 925.7,636.4 925.7,662.4 923.8,662.4 921.9,662.4 920.1,662.4 918.2,662.4 916.3,662.4 914.5,662.4 912.6,662.4 910.7,662.4
908.8,662.4 907.0,662.4 905.1,662.4 903.2,662.4 901.4,662.4 899.5,662.4 897.6,662.4 895.8,662.4 893.9,662.4 892.0,662.4 890.1,662.4 888.3,662.4 886.4,662.4 884.5,662.4 882.7,662.4 880.8,662.4
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789.1,662.4 787.3,662.4 785.4,662.4 783.5,662.4 781.7,662.4 779.8,662.4 777.9,662.4 776.0,662.4 774.2,662.4 772.3,662.4 770.4,662.4 768.6,662.4 766.7,662.4 764.8,662.4 762.9,662.4 761.1,662.4
759.2,662.4 757.3,662.4 755.5,662.4 753.6,662.4 751.7,662.4 749.9,662.4 748.0,662.4 746.1,662.4 744.2,662.4 742.4,662.4 740.5,662.4 738.6,662.4 736.8,662.4 734.9,662.4 733.0,662.4 731.1,662.4
729.3,662.4 727.4,662.4 725.5,662.4 723.7,662.4 721.8,662.4 719.9,662.4 718.1,662.4 716.2,662.4 714.3,662.4 712.4,662.4 710.6,662.4 708.7,662.4 706.8,662.4 705.0,662.4 703.1,662.4 701.2,662.4
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669.4,662.4 667.5,662.4 665.7,662.4 663.8,662.4 661.9,662.4 660.1,662.4 658.2,662.4 656.3,662.4 654.5,662.4 652.6,662.4 650.7,662.4 648.8,662.4 647.0,662.4 645.1,662.4 643.2,662.4 641.4,662.4
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<g id="gnuplot_plot_3" ><title>Point estimate</title>
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<text><tspan font-family="Helvetica" >Point estimate</tspan></text>
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<text><tspan font-family="Helvetica" >Barbershop/200000: SD</tspan></text>
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<path stroke='black' d='M63.6,575.5 L72.6,575.5 '/> <g transform="translate(55.3,579.4)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="end">
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<path stroke='black' d='M63.6,227.9 L72.6,227.9 '/> <g transform="translate(55.3,231.8)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="end">
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<path stroke='black' d='M214.7,662.4 L214.7,653.4 '/> <g transform="translate(214.7,684.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
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<path stroke='black' d='M970.4,662.4 L970.4,653.4 '/> <g transform="translate(970.4,684.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
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<path stroke='black' d='M1121.5,662.4 L1121.5,653.4 '/> <g transform="translate(1121.5,684.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
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<g fill="none" color="black" stroke="currentColor" stroke-width="1.00" stroke-linecap="butt" stroke-linejoin="miter">
<path stroke='black' d='M63.6,54.1 L63.6,662.4 L1121.5,662.4 L1121.5,54.1 L63.6,54.1 Z '/></g>
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<text><tspan font-family="Helvetica" >Density (a.u.)</tspan></text>
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<text><tspan font-family="Helvetica" >Average time (ms)</tspan></text>
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<g id="gnuplot_plot_1" ><title>Base PDF</title>
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<text><tspan font-family="Helvetica" >Base PDF</tspan></text>
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<g id="gnuplot_plot_2" ><title>Base Mean</title>
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<text><tspan font-family="Helvetica" >Base Mean</tspan></text>
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<path stroke='black' d='M1255.0,662.4 L1255.0,653.4 '/> <g transform="translate(1255.0,684.3)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="middle">
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<text><tspan font-family="Helvetica" >Base sample</tspan></text>
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<path stroke='rgb(227, 26, 28)' d='M88.5,72.1 L130.7,72.1 M71.9,662.4 L1255.0,105.3 '/></g>
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<text><tspan font-family="Helvetica" >New sample</tspan></text>
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<g id="gnuplot_plot_2" ><title>Confidence interval</title>
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<g id="gnuplot_plot_1" ><title>t distribution</title>
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535.1,662.4 533.8,662.4 532.6,662.4 531.3,662.4 530.1,662.4 528.8,662.4 527.6,662.4 526.3,662.4 525.1,662.4 523.8,662.4 522.6,662.4 521.3,662.4 520.1,662.4 518.8,662.4 517.6,662.4 516.3,662.4
515.1,662.4 513.8,662.4 512.6,662.4 511.3,662.4 510.1,662.4 508.8,662.4 507.6,662.4 506.3,662.4 505.1,662.4 503.8,662.4 502.6,662.4 501.3,662.4 500.1,662.4 498.8,662.4 497.6,662.4 496.3,662.4
495.1,662.4 493.8,662.4 492.6,662.4 491.3,662.4 490.1,662.4 488.8,662.4 487.6,662.4 486.3,662.4 485.1,662.4 483.8,662.4 482.6,662.4 481.3,662.4 480.1,662.4 478.8,662.4 477.6,662.4 476.3,662.4
475.1,662.4 473.8,662.4 472.6,662.4 471.3,662.4 470.1,662.4 468.8,662.4 467.5,662.4 466.3,662.4 465.0,662.4 463.8,662.4 462.5,662.4 461.3,662.4 460.0,662.4 458.8,662.4 457.5,662.4 456.3,662.4
455.0,662.4 453.8,662.4 452.5,662.4 451.3,662.4 450.0,662.4 448.8,662.4 447.5,662.4 446.3,662.4 445.0,662.4 443.8,662.4 442.5,662.4 441.3,662.4 440.0,662.4 438.8,662.4 437.5,662.4 436.3,662.4
435.0,662.4 433.8,662.4 432.5,662.4 431.3,662.4 430.0,662.4 428.8,662.4 427.5,662.4 426.3,662.4 425.0,662.4 423.8,662.4 422.5,662.4 421.3,662.4 420.0,662.4 418.8,662.4 417.5,662.4 416.3,662.4
415.0,662.4 413.8,662.4 412.5,662.4 411.3,662.4 410.0,662.4 408.8,662.4 407.5,662.4 406.3,662.4 405.0,662.4 403.8,662.4 402.5,662.4 401.2,662.4 400.0,662.4 398.7,662.4 397.5,662.4 396.2,662.4
395.0,662.4 393.7,662.4 392.5,662.4 391.2,662.4 390.0,662.4 388.7,662.4 387.5,662.4 386.2,662.4 385.0,662.4 383.7,662.4 382.5,662.4 381.2,662.4 380.0,662.4 378.7,662.4 377.5,662.4 376.2,662.4
375.0,662.4 373.7,662.4 372.5,662.4 371.2,662.4 370.0,662.4 368.7,662.4 367.5,662.4 366.2,662.4 365.0,662.4 363.7,662.4 362.5,662.4 361.2,662.4 360.0,662.4 358.7,662.4 357.5,662.4 356.2,662.4
355.0,662.4 353.7,662.4 352.5,662.4 351.2,662.4 350.0,662.4 348.7,662.4 347.5,662.4 346.2,662.4 '/>
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<g id="gnuplot_plot_2" ><title>t statistic</title>
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<g transform="translate(1155.4,85.0)" stroke="none" fill="black" font-family="Helvetica" font-size="12.00" text-anchor="start">
<text><tspan font-family="Helvetica" >t statistic</tspan></text>
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<path stroke='rgb( 31, 120, 180)' d='M1104.9,81.1 L1147.1,81.1 M158.8,662.4 L158.8,54.1 '/></g>
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<path stroke='black' d='M80.2,54.1 L80.2,662.4 L1080.0,662.4 L1080.0,54.1 L80.2,54.1 Z '/></g>
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<text><tspan font-family="Helvetica" >Barbershop/200000: Welch t test</tspan></text>
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</svg>
<!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title>Barbershop/200000 - Criterion.rs</title>
<style type="text/css">
body {
font: 14px Helvetica Neue;
text-rendering: optimizelegibility;
}
.body {
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margin: auto;
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th {
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}
th,
td {
padding-right: 3px;
padding-bottom: 3px;
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a:link {
color: #1F78B4;
text-decoration: none;
}
th.ci-bound {
opacity: 0.6
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td.ci-bound {
opacity: 0.5
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.stats {
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margin: auto;
display: flex;
}
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flex: 0 0 60%
}
.additional_plots {
flex: 1
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h2 {
font-size: 36px;
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#footer p {
text-align: center
}
</style>
</head>
<body>
<div class="body">
<h2>Barbershop/200000</h2>
<div class="absolute">
<section class="plots">
<table width="100%">
<tbody>
<tr>
<td>
<a href="pdf.svg">
<img src="pdf_small.svg" alt="PDF of Slope" width="450" height="300" />
</a>
</td>
<td>
<a href="regression.svg">
<img src="regression_small.svg" alt="Regression" width="450" height="300" />
</a>
</td>
</tr>
</tbody>
</table>
</section>
<section class="stats">
<div class="additional_stats">
<h4>Additional Statistics:</h4>
<table>
<thead>
<tr>
<th></th>
<th title="0.99 confidence level" class="ci-bound">Lower bound</th>
<th>Estimate</th>
<th title="0.99 confidence level" class="ci-bound">Upper bound</th>
</tr>
</thead>
<tbody>
<tr>
<td>Slope</td>
<td class="ci-bound">2.8760 ms</td>
<td>2.8898 ms</td>
<td class="ci-bound">2.9064 ms</td>
</tr>
<tr>
<td>R&#xb2;</td>
<td class="ci-bound">0.9647259</td>
<td>0.9676391</td>
<td class="ci-bound">0.9633333</td>
</tr>
<tr>
<td>Mean</td>
<td class="ci-bound">2.8711 ms</td>
<td>2.8819 ms</td>
<td class="ci-bound">2.8944 ms</td>
</tr>
<tr>
<td title="Standard Deviation">Std. Dev.</td>
<td class="ci-bound">30.129 us</td>
<td>45.977 us</td>
<td class="ci-bound">58.480 us</td>
</tr>
<tr>
<td>Median</td>
<td class="ci-bound">2.8633 ms</td>
<td>2.8691 ms</td>
<td class="ci-bound">2.8757 ms</td>
</tr>
<tr>
<td title="Median Absolute Deviation">MAD</td>
<td class="ci-bound">13.919 us</td>
<td>23.404 us</td>
<td class="ci-bound">30.964 us</td>
</tr>
</tbody>
</table>
</div>
<div class="additional_plots">
<h4>Additional Plots:</h4>
<ul>
<li>
<a href="typical.svg">Typical</a>
</li>
<li>
<a href="mean.svg">Mean</a>
</li>
<li>
<a href="SD.svg">Std. Dev.</a>
</li>
<li>
<a href="median.svg">Median</a>
</li>
<li>
<a href="MAD.svg">MAD</a>
</li>
<li>
<a href="slope.svg">Slope</a>
</li>
</ul>
</div>
</section>
<section class="explanation">
<h4>Understanding this report:</h4>
<p>The plot on the left displays the average time per iteration for this benchmark. The shaded region
shows the estimated probabilty of an iteration taking a certain amount of time, while the line
shows the mean. Click on the plot for a larger view showing the outliers.</p>
<p>The plot on the right shows the linear regression calculated from the measurements. Each point
represents a sample, though here it shows the total time for the sample rather than time per
iteration. The line is the line of best fit for these measurements.</p>
<p>See <a href="https://bheisler.github.io/criterion.rs/book/user_guide/command_line_output.html#additional-statistics">the
documentation</a> for more details on the additional statistics.</p>
</section>
</div>
<section class="plots">
<h3>Change Since Previous Benchmark</h3>
<div class="relative">
<table width="100%">
<tbody>
<tr>
<td>
<a href="both/pdf.svg">
<img src="relative_pdf_small.svg" alt="PDF Comparison" width="450"
height="300" />
</a>
</td>
<td>
<a href="both/regression.svg">
<img src="relative_regression_small.svg" alt="Regression Comparison" width="450"
height="300" />
</a>
</td>
</tr>
</tbody>
</table>
</div>
</section>
<section class="stats">
<div class="additional_stats">
<h4>Additional Statistics:</h4>
<table>
<thead>
<tr>
<th></th>
<th title="0.99 confidence level" class="ci-bound">Lower bound</th>
<th>Estimate</th>
<th title="0.99 confidence level" class="ci-bound">Upper bound</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Change in time</td>
<td class="ci-bound">-2.9850%</td>
<td>-2.1617%</td>
<td class="ci-bound">-1.4126%</td>
<td>(p = 0.00 &lt;
0.05)</td>
</tr>
</tbody>
</table>
Performance has improved.
</div>
<div class="additional_plots">
<h4>Additional Plots:</h4>
<ul>
<li>
<a href="change/mean.svg">Change in mean</a>
</li>
<li>
<a href="change/median.svg">Change in median</a>
</li>
<li>
<a href="change/t-test.svg">T-Test</a>
</li>
</ul>
</div>
</section>
<section class="explanation">
<h4>Understanding this report:</h4>
<p>The plot on the left shows the probability of the function taking a certain amount of time. The red
curve represents the saved measurements from the last time this benchmark was run, while the blue curve
shows the measurements from this run. The lines represent the mean time per iteration. Click on the
plot for a larger view.</p>
<p>The plot on the right shows the two regressions. Again, the red line represents the previous measurement
while the blue line shows the current measurement.</p>
<p>See <a href="https://bheisler.github.io/criterion.rs/book/user_guide/command_line_output.html#change">the
documentation</a> for more details on the additional statistics.</p>
</section>
</div>
<div id="footer">
<p>This report was generated by
<a href="https://github.com/bheisler/criterion.rs">Criterion.rs</a>, a statistics-driven benchmarking
library in Rust.</p>
</div>
</body>
</html>
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