From 2cb7627eb434af93ed512d6dbd843b3fe6bbe419 Mon Sep 17 00:00:00 2001
From: Trivernis
Date: Wed, 31 Jan 2024 14:43:31 +0000
Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20Triverni?=
=?UTF-8?q?s/bromine@5bf368e568dd6eac7d849ff333567b95d9798c22=20?=
=?UTF-8?q?=F0=9F=9A=80?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
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.../1024/change/estimates.json | 1 -
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event_deserialization/1024/main/tukey.json | 2 +-
event_deserialization/1024/new/estimates.json | 2 +-
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event_deserialization/1024/new/sample.json | 2 +-
event_deserialization/1024/new/tukey.json | 2 +-
event_deserialization/1024/report/MAD.svg | 88 ++---
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.../1024/report/both/pdf.svg | 81 -----
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.../1024/report/change/median.svg | 73 ----
.../1024/report/change/t-test.svg | 95 ------
event_deserialization/1024/report/index.html | 125 ++-----
event_deserialization/1024/report/mean.svg | 76 +++--
event_deserialization/1024/report/median.svg | 92 ++---
event_deserialization/1024/report/pdf.svg | 134 ++++----
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.../1024/report/relative_pdf_small.svg | 62 ----
.../1024/report/relative_regression_small.svg | 89 -----
event_deserialization/1024/report/slope.svg | 90 ++---
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.../1048576/change/estimates.json | 1 -
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.../1048576/report/relative_pdf_small.svg | 54 ---
.../1048576/report/slope.svg | 84 -----
.../1048576/report/typical.svg | 84 ++---
.../16384/change/estimates.json | 1 -
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.../16777216/change/estimates.json | 1 -
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.../262144/change/estimates.json | 1 -
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.../4096/change/estimates.json | 1 -
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event_deserialization/4096/report/index.html | 125 ++-----
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.../4194304/change/estimates.json | 1 -
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.../65536/change/estimates.json | 1 -
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event_deserialization/65536/main/tukey.json | 2 +-
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.../1024/change/estimates.json | 1 -
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event_serialization/1024/report/index.html | 125 ++-----
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.../1048576/change/estimates.json | 1 -
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event_serialization/65536/main/tukey.json | 2 +-
event_serialization/65536/new/estimates.json | 2 +-
event_serialization/65536/new/raw.csv | 101 ------
event_serialization/65536/new/sample.json | 2 +-
event_serialization/65536/new/tukey.json | 2 +-
event_serialization/65536/report/MAD.svg | 78 +++--
event_serialization/65536/report/SD.svg | 108 +++---
event_serialization/65536/report/both/pdf.svg | 85 -----
.../65536/report/both/regression.svg | 85 -----
.../65536/report/change/mean.svg | 81 -----
.../65536/report/change/median.svg | 89 -----
.../65536/report/change/t-test.svg | 91 -----
event_serialization/65536/report/index.html | 125 ++-----
event_serialization/65536/report/mean.svg | 90 ++---
event_serialization/65536/report/median.svg | 72 ++--
event_serialization/65536/report/pdf.svg | 128 +++----
.../65536/report/pdf_small.svg | 80 +++--
.../65536/report/regression.svg | 283 ++++++++--------
.../65536/report/regression_small.svg | 279 +++++++++-------
.../65536/report/relative_pdf_small.svg | 66 ----
.../report/relative_regression_small.svg | 74 -----
event_serialization/65536/report/slope.svg | 108 +++---
event_serialization/65536/report/typical.svg | 108 +++---
event_serialization/report/lines.svg | 52 ++-
event_serialization/report/violin.svg | 80 ++---
435 files changed, 10823 insertions(+), 27450 deletions(-)
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delete mode 100644 event_deserialization/4096/change/estimates.json
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delete mode 100644 event_deserialization/65536/change/estimates.json
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delete mode 100644 event_serialization/1024/change/estimates.json
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delete mode 100644 event_serialization/1048576/change/estimates.json
delete mode 100644 event_serialization/1048576/main/raw.csv
delete mode 100644 event_serialization/1048576/new/raw.csv
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delete mode 100644 event_serialization/1048576/report/relative_regression_small.svg
delete mode 100644 event_serialization/16384/change/estimates.json
delete mode 100644 event_serialization/16384/main/raw.csv
delete mode 100644 event_serialization/16384/new/raw.csv
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delete mode 100644 event_serialization/16384/report/both/regression.svg
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delete mode 100644 event_serialization/16777216/change/estimates.json
delete mode 100644 event_serialization/16777216/main/raw.csv
delete mode 100644 event_serialization/16777216/new/raw.csv
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delete mode 100644 event_serialization/16777216/report/both/pdf.svg
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delete mode 100644 event_serialization/16777216/report/relative_pdf_small.svg
delete mode 100644 event_serialization/262144/change/estimates.json
delete mode 100644 event_serialization/262144/main/raw.csv
delete mode 100644 event_serialization/262144/new/raw.csv
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delete mode 100644 event_serialization/262144/report/relative_regression_small.svg
delete mode 100644 event_serialization/4096/change/estimates.json
delete mode 100644 event_serialization/4096/main/raw.csv
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delete mode 100644 event_serialization/4194304/change/estimates.json
delete mode 100644 event_serialization/4194304/main/raw.csv
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delete mode 100644 event_serialization/4194304/report/relative_pdf_small.svg
delete mode 100644 event_serialization/65536/change/estimates.json
delete mode 100644 event_serialization/65536/main/raw.csv
delete mode 100644 event_serialization/65536/new/raw.csv
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delete mode 100644 event_serialization/65536/report/both/regression.svg
delete mode 100644 event_serialization/65536/report/change/mean.svg
delete mode 100644 event_serialization/65536/report/change/median.svg
delete mode 100644 event_serialization/65536/report/change/t-test.svg
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delete mode 100644 event_serialization/65536/report/relative_regression_small.svg
diff --git a/event_deserialization/1024/change/estimates.json b/event_deserialization/1024/change/estimates.json
deleted file mode 100644
index 0369a9c4..00000000
--- a/event_deserialization/1024/change/estimates.json
+++ /dev/null
@@ -1 +0,0 @@
-{"mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":0.1690822335539364,"upper_bound":0.18996586431573442},"point_estimate":0.18003134668132836,"standard_error":0.00532588283266843},"median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":0.16229964013183373,"upper_bound":0.18284734659565965},"point_estimate":0.16910003246654948,"standard_error":0.0058368034260753415}}
\ No newline at end of file
diff --git a/event_deserialization/1024/main/estimates.json b/event_deserialization/1024/main/estimates.json
index 0d5a4738..6445f8e1 100644
--- a/event_deserialization/1024/main/estimates.json
+++ b/event_deserialization/1024/main/estimates.json
@@ -1 +1 @@
-{"mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":523.8661389164021,"upper_bound":528.9687843125378},"point_estimate":526.2243364984221,"standard_error":1.3058634823821684},"median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":519.4547811355312,"upper_bound":526.7320384615384},"point_estimate":521.2637888111888,"standard_error":2.377452068801693},"median_abs_dev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":3.286616065346092,"upper_bound":10.294269851248186},"point_estimate":6.6998978144506,"standard_error":1.9539324812879257},"slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":519.6071922232837,"upper_bound":521.5460965136067},"point_estimate":520.4788348978641,"standard_error":0.49561457042522594},"std_dev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":8.018591674842694,"upper_bound":17.42501260774273},"point_estimate":13.145287151775435,"standard_error":2.3968530958303775}}
\ No newline at end of file
+{"mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":329.05182502415613,"upper_bound":336.2578052070653},"point_estimate":332.7116930592674,"standard_error":1.8325534430131751},"median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":331.9844902055588,"upper_bound":339.573056621881},"point_estimate":335.1724952729767,"standard_error":1.9211412285680975},"median_abs_dev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":13.471728897320268,"upper_bound":20.419144545470097},"point_estimate":18.298459988427783,"standard_error":1.6629535169187002},"slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":329.41155442860736,"upper_bound":338.12727549485624},"point_estimate":334.02862493465665,"standard_error":2.2146205559841836},"std_dev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":14.879447492905753,"upper_bound":21.473663232256516},"point_estimate":18.411912576067593,"standard_error":1.675181223451178}}
\ No newline at end of file
diff --git a/event_deserialization/1024/main/raw.csv b/event_deserialization/1024/main/raw.csv
deleted file mode 100644
index c79d107c..00000000
--- a/event_deserialization/1024/main/raw.csv
+++ /dev/null
@@ -1,101 +0,0 @@
-group,function,value,throughput_num,throughput_type,sample_measured_value,unit,iteration_count
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-event_deserialization,,1024,1024,bytes,12430530.0,ns,24050
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-event_deserialization,,1024,1024,bytes,14697933.0,ns,27950
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-event_deserialization,,1024,1024,bytes,15750040.0,ns,29900
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-event_deserialization,,1024,1024,bytes,17561038.0,ns,33150
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-event_deserialization,,1024,1024,bytes,25875972.0,ns,50050
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-event_deserialization,,1024,1024,bytes,32689839.0,ns,63050
-event_deserialization,,1024,1024,bytes,33041947.0,ns,63700
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diff --git a/event_deserialization/1024/main/sample.json b/event_deserialization/1024/main/sample.json
index f5e64baf..e6895e8b 100644
--- a/event_deserialization/1024/main/sample.json
+++ b/event_deserialization/1024/main/sample.json
@@ -1 +1 @@
-{"sampling_mode":"Linear","iters":[650.0,1300.0,1950.0,2600.0,3250.0,3900.0,4550.0,5200.0,5850.0,6500.0,7150.0,7800.0,8450.0,9100.0,9750.0,10400.0,11050.0,11700.0,12350.0,13000.0,13650.0,14300.0,14950.0,15600.0,16250.0,16900.0,17550.0,18200.0,18850.0,19500.0,20150.0,20800.0,21450.0,22100.0,22750.0,23400.0,24050.0,24700.0,25350.0,26000.0,26650.0,27300.0,27950.0,28600.0,29250.0,29900.0,30550.0,31200.0,31850.0,32500.0,33150.0,33800.0,34450.0,35100.0,35750.0,36400.0,37050.0,37700.0,38350.0,39000.0,39650.0,40300.0,40950.0,41600.0,42250.0,42900.0,43550.0,44200.0,44850.0,45500.0,46150.0,46800.0,47450.0,48100.0,48750.0,49400.0,50050.0,50700.0,51350.0,52000.0,52650.0,53300.0,53950.0,54600.0,55250.0,55900.0,56550.0,57200.0,57850.0,58500.0,59150.0,59800.0,60450.0,61100.0,61750.0,62400.0,63050.0,63700.0,64350.0,65000.0],"times":[367600.0,767901.0,1151803.0,1477804.0,1788802.0,2144007.0,2450409.0,2788606.0,3127309.0,3457810.0,3789408.0,4109311.0,4434710.0,4815112.0,5169912.0,5423011.0,5866613.0,6226816.0,6426114.0,6760721.0,7422220.0,7455317.0,7780117.0,8249426.0,8469122.0,8825224.0,9307419.0,9452623.0,9802721.0,10358926.0,10428222.0,10766327.0,11345131.0,11498327.0,11817829.0,12375933.0,12430530.0,12761531.0,13334435.0,13695033.0,13785632.0,14363735.0,14697933.0,15060335.0,15427638.0,15750040.0,16075026.0,16576640.0,16909148.0,17232943.0,17561038.0,17900825.0,18213745.0,18616047.0,18950648.0,19274650.0,19627945.0,19971851.0,20271150.0,20623654.0,20955453.0,21414954.0,21734452.0,21663855.0,21911257.0,22224360.0,22537461.0,22866757.0,23201157.0,23594265.0,23933264.0,24244658.0,24636662.0,24919561.0,25227267.0,25559362.0,25875972.0,26215056.0,26479267.0,26858765.0,27185266.0,27629871.0,27987186.0,28267816.0,28589026.0,28932885.0,29382219.0,29625923.0,29982421.0,30388227.0,30570328.0,30928133.0,31309231.0,31645838.0,31979435.0,32413340.0,32689839.0,33041947.0,33426248.0,33744550.0]}
\ No newline at end of file
+{"sampling_mode":"Linear","iters":[1042.0,2084.0,3126.0,4168.0,5210.0,6252.0,7294.0,8336.0,9378.0,10420.0,11462.0,12504.0,13546.0,14588.0,15630.0,16672.0,17714.0,18756.0,19798.0,20840.0,21882.0,22924.0,23966.0,25008.0,26050.0,27092.0,28134.0,29176.0,30218.0,31260.0,32302.0,33344.0,34386.0,35428.0,36470.0,37512.0,38554.0,39596.0,40638.0,41680.0,42722.0,43764.0,44806.0,45848.0,46890.0,47932.0,48974.0,50016.0,51058.0,52100.0,53142.0,54184.0,55226.0,56268.0,57310.0,58352.0,59394.0,60436.0,61478.0,62520.0,63562.0,64604.0,65646.0,66688.0,67730.0,68772.0,69814.0,70856.0,71898.0,72940.0,73982.0,75024.0,76066.0,77108.0,78150.0,79192.0,80234.0,81276.0,82318.0,83360.0,84402.0,85444.0,86486.0,87528.0,88570.0,89612.0,90654.0,91696.0,92738.0,93780.0,94822.0,95864.0,96906.0,97948.0,98990.0,100032.0,101074.0,102116.0,103158.0,104200.0],"times":[381827.0,705095.0,1034240.0,1377492.0,1691475.0,2005134.0,2608913.0,2895309.0,3390346.0,3668349.0,3975535.0,4360536.0,4648321.0,4897436.0,5279242.0,5661362.0,6169146.0,6321263.0,6918477.0,7021945.0,8310332.0,7831208.0,8245214.0,8601191.0,9025972.0,9092605.0,9448950.0,9931689.0,10278805.0,10452120.0,10812301.0,11343937.0,11599769.0,11850031.0,12199580.0,12497245.0,13217680.0,13218048.0,13494957.0,13869408.0,14518834.0,14709019.0,14926640.0,15289618.0,14810616.0,15139258.0,15654006.0,15939449.0,16192933.0,16477882.0,14957370.0,15282955.0,15563176.0,15969843.0,16213140.0,16608180.0,19002338.0,19112409.0,19556317.0,19814094.0,20150891.0,20500942.0,20914845.0,21325343.0,21609973.0,21981183.0,22329270.0,22667671.0,23070465.0,23375908.0,23906657.0,24154639.0,24525369.0,24870957.0,25208572.0,25567013.0,25900520.0,26413208.0,26626355.0,27050299.0,29149770.0,29498125.0,30053428.0,30382606.0,32237008.0,31066928.0,31838106.0,32510674.0,32140239.0,32465177.0,33250042.0,33423197.0,33852672.0,33758334.0,34971628.0,34770763.0,35072243.0,35771072.0,36053716.0,36099467.0]}
\ No newline at end of file
diff --git a/event_deserialization/1024/main/tukey.json b/event_deserialization/1024/main/tukey.json
index 897d3800..5da9ba86 100644
--- a/event_deserialization/1024/main/tukey.json
+++ b/event_deserialization/1024/main/tukey.json
@@ -1 +1 @@
-[482.91850280340736,500.4841635034908,547.3259253703799,564.8915860704633]
\ No newline at end of file
+[243.1155011353029,281.8874702002262,385.2793877066882,424.0513567716115]
\ No newline at end of file
diff --git a/event_deserialization/1024/new/estimates.json b/event_deserialization/1024/new/estimates.json
index 0d5a4738..6445f8e1 100644
--- a/event_deserialization/1024/new/estimates.json
+++ b/event_deserialization/1024/new/estimates.json
@@ -1 +1 @@
-{"mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":523.8661389164021,"upper_bound":528.9687843125378},"point_estimate":526.2243364984221,"standard_error":1.3058634823821684},"median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":519.4547811355312,"upper_bound":526.7320384615384},"point_estimate":521.2637888111888,"standard_error":2.377452068801693},"median_abs_dev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":3.286616065346092,"upper_bound":10.294269851248186},"point_estimate":6.6998978144506,"standard_error":1.9539324812879257},"slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":519.6071922232837,"upper_bound":521.5460965136067},"point_estimate":520.4788348978641,"standard_error":0.49561457042522594},"std_dev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":8.018591674842694,"upper_bound":17.42501260774273},"point_estimate":13.145287151775435,"standard_error":2.3968530958303775}}
\ No newline at end of file
+{"mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":329.05182502415613,"upper_bound":336.2578052070653},"point_estimate":332.7116930592674,"standard_error":1.8325534430131751},"median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":331.9844902055588,"upper_bound":339.573056621881},"point_estimate":335.1724952729767,"standard_error":1.9211412285680975},"median_abs_dev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":13.471728897320268,"upper_bound":20.419144545470097},"point_estimate":18.298459988427783,"standard_error":1.6629535169187002},"slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":329.41155442860736,"upper_bound":338.12727549485624},"point_estimate":334.02862493465665,"standard_error":2.2146205559841836},"std_dev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":14.879447492905753,"upper_bound":21.473663232256516},"point_estimate":18.411912576067593,"standard_error":1.675181223451178}}
\ No newline at end of file
diff --git a/event_deserialization/1024/new/raw.csv b/event_deserialization/1024/new/raw.csv
deleted file mode 100644
index c79d107c..00000000
--- a/event_deserialization/1024/new/raw.csv
+++ /dev/null
@@ -1,101 +0,0 @@
-group,function,value,throughput_num,throughput_type,sample_measured_value,unit,iteration_count
-event_deserialization,,1024,1024,bytes,367600.0,ns,650
-event_deserialization,,1024,1024,bytes,767901.0,ns,1300
-event_deserialization,,1024,1024,bytes,1151803.0,ns,1950
-event_deserialization,,1024,1024,bytes,1477804.0,ns,2600
-event_deserialization,,1024,1024,bytes,1788802.0,ns,3250
-event_deserialization,,1024,1024,bytes,2144007.0,ns,3900
-event_deserialization,,1024,1024,bytes,2450409.0,ns,4550
-event_deserialization,,1024,1024,bytes,2788606.0,ns,5200
-event_deserialization,,1024,1024,bytes,3127309.0,ns,5850
-event_deserialization,,1024,1024,bytes,3457810.0,ns,6500
-event_deserialization,,1024,1024,bytes,3789408.0,ns,7150
-event_deserialization,,1024,1024,bytes,4109311.0,ns,7800
-event_deserialization,,1024,1024,bytes,4434710.0,ns,8450
-event_deserialization,,1024,1024,bytes,4815112.0,ns,9100
-event_deserialization,,1024,1024,bytes,5169912.0,ns,9750
-event_deserialization,,1024,1024,bytes,5423011.0,ns,10400
-event_deserialization,,1024,1024,bytes,5866613.0,ns,11050
-event_deserialization,,1024,1024,bytes,6226816.0,ns,11700
-event_deserialization,,1024,1024,bytes,6426114.0,ns,12350
-event_deserialization,,1024,1024,bytes,6760721.0,ns,13000
-event_deserialization,,1024,1024,bytes,7422220.0,ns,13650
-event_deserialization,,1024,1024,bytes,7455317.0,ns,14300
-event_deserialization,,1024,1024,bytes,7780117.0,ns,14950
-event_deserialization,,1024,1024,bytes,8249426.0,ns,15600
-event_deserialization,,1024,1024,bytes,8469122.0,ns,16250
-event_deserialization,,1024,1024,bytes,8825224.0,ns,16900
-event_deserialization,,1024,1024,bytes,9307419.0,ns,17550
-event_deserialization,,1024,1024,bytes,9452623.0,ns,18200
-event_deserialization,,1024,1024,bytes,9802721.0,ns,18850
-event_deserialization,,1024,1024,bytes,10358926.0,ns,19500
-event_deserialization,,1024,1024,bytes,10428222.0,ns,20150
-event_deserialization,,1024,1024,bytes,10766327.0,ns,20800
-event_deserialization,,1024,1024,bytes,11345131.0,ns,21450
-event_deserialization,,1024,1024,bytes,11498327.0,ns,22100
-event_deserialization,,1024,1024,bytes,11817829.0,ns,22750
-event_deserialization,,1024,1024,bytes,12375933.0,ns,23400
-event_deserialization,,1024,1024,bytes,12430530.0,ns,24050
-event_deserialization,,1024,1024,bytes,12761531.0,ns,24700
-event_deserialization,,1024,1024,bytes,13334435.0,ns,25350
-event_deserialization,,1024,1024,bytes,13695033.0,ns,26000
-event_deserialization,,1024,1024,bytes,13785632.0,ns,26650
-event_deserialization,,1024,1024,bytes,14363735.0,ns,27300
-event_deserialization,,1024,1024,bytes,14697933.0,ns,27950
-event_deserialization,,1024,1024,bytes,15060335.0,ns,28600
-event_deserialization,,1024,1024,bytes,15427638.0,ns,29250
-event_deserialization,,1024,1024,bytes,15750040.0,ns,29900
-event_deserialization,,1024,1024,bytes,16075026.0,ns,30550
-event_deserialization,,1024,1024,bytes,16576640.0,ns,31200
-event_deserialization,,1024,1024,bytes,16909148.0,ns,31850
-event_deserialization,,1024,1024,bytes,17232943.0,ns,32500
-event_deserialization,,1024,1024,bytes,17561038.0,ns,33150
-event_deserialization,,1024,1024,bytes,17900825.0,ns,33800
-event_deserialization,,1024,1024,bytes,18213745.0,ns,34450
-event_deserialization,,1024,1024,bytes,18616047.0,ns,35100
-event_deserialization,,1024,1024,bytes,18950648.0,ns,35750
-event_deserialization,,1024,1024,bytes,19274650.0,ns,36400
-event_deserialization,,1024,1024,bytes,19627945.0,ns,37050
-event_deserialization,,1024,1024,bytes,19971851.0,ns,37700
-event_deserialization,,1024,1024,bytes,20271150.0,ns,38350
-event_deserialization,,1024,1024,bytes,20623654.0,ns,39000
-event_deserialization,,1024,1024,bytes,20955453.0,ns,39650
-event_deserialization,,1024,1024,bytes,21414954.0,ns,40300
-event_deserialization,,1024,1024,bytes,21734452.0,ns,40950
-event_deserialization,,1024,1024,bytes,21663855.0,ns,41600
-event_deserialization,,1024,1024,bytes,21911257.0,ns,42250
-event_deserialization,,1024,1024,bytes,22224360.0,ns,42900
-event_deserialization,,1024,1024,bytes,22537461.0,ns,43550
-event_deserialization,,1024,1024,bytes,22866757.0,ns,44200
-event_deserialization,,1024,1024,bytes,23201157.0,ns,44850
-event_deserialization,,1024,1024,bytes,23594265.0,ns,45500
-event_deserialization,,1024,1024,bytes,23933264.0,ns,46150
-event_deserialization,,1024,1024,bytes,24244658.0,ns,46800
-event_deserialization,,1024,1024,bytes,24636662.0,ns,47450
-event_deserialization,,1024,1024,bytes,24919561.0,ns,48100
-event_deserialization,,1024,1024,bytes,25227267.0,ns,48750
-event_deserialization,,1024,1024,bytes,25559362.0,ns,49400
-event_deserialization,,1024,1024,bytes,25875972.0,ns,50050
-event_deserialization,,1024,1024,bytes,26215056.0,ns,50700
-event_deserialization,,1024,1024,bytes,26479267.0,ns,51350
-event_deserialization,,1024,1024,bytes,26858765.0,ns,52000
-event_deserialization,,1024,1024,bytes,27185266.0,ns,52650
-event_deserialization,,1024,1024,bytes,27629871.0,ns,53300
-event_deserialization,,1024,1024,bytes,27987186.0,ns,53950
-event_deserialization,,1024,1024,bytes,28267816.0,ns,54600
-event_deserialization,,1024,1024,bytes,28589026.0,ns,55250
-event_deserialization,,1024,1024,bytes,28932885.0,ns,55900
-event_deserialization,,1024,1024,bytes,29382219.0,ns,56550
-event_deserialization,,1024,1024,bytes,29625923.0,ns,57200
-event_deserialization,,1024,1024,bytes,29982421.0,ns,57850
-event_deserialization,,1024,1024,bytes,30388227.0,ns,58500
-event_deserialization,,1024,1024,bytes,30570328.0,ns,59150
-event_deserialization,,1024,1024,bytes,30928133.0,ns,59800
-event_deserialization,,1024,1024,bytes,31309231.0,ns,60450
-event_deserialization,,1024,1024,bytes,31645838.0,ns,61100
-event_deserialization,,1024,1024,bytes,31979435.0,ns,61750
-event_deserialization,,1024,1024,bytes,32413340.0,ns,62400
-event_deserialization,,1024,1024,bytes,32689839.0,ns,63050
-event_deserialization,,1024,1024,bytes,33041947.0,ns,63700
-event_deserialization,,1024,1024,bytes,33426248.0,ns,64350
-event_deserialization,,1024,1024,bytes,33744550.0,ns,65000
diff --git a/event_deserialization/1024/new/sample.json b/event_deserialization/1024/new/sample.json
index f5e64baf..e6895e8b 100644
--- a/event_deserialization/1024/new/sample.json
+++ b/event_deserialization/1024/new/sample.json
@@ -1 +1 @@
-{"sampling_mode":"Linear","iters":[650.0,1300.0,1950.0,2600.0,3250.0,3900.0,4550.0,5200.0,5850.0,6500.0,7150.0,7800.0,8450.0,9100.0,9750.0,10400.0,11050.0,11700.0,12350.0,13000.0,13650.0,14300.0,14950.0,15600.0,16250.0,16900.0,17550.0,18200.0,18850.0,19500.0,20150.0,20800.0,21450.0,22100.0,22750.0,23400.0,24050.0,24700.0,25350.0,26000.0,26650.0,27300.0,27950.0,28600.0,29250.0,29900.0,30550.0,31200.0,31850.0,32500.0,33150.0,33800.0,34450.0,35100.0,35750.0,36400.0,37050.0,37700.0,38350.0,39000.0,39650.0,40300.0,40950.0,41600.0,42250.0,42900.0,43550.0,44200.0,44850.0,45500.0,46150.0,46800.0,47450.0,48100.0,48750.0,49400.0,50050.0,50700.0,51350.0,52000.0,52650.0,53300.0,53950.0,54600.0,55250.0,55900.0,56550.0,57200.0,57850.0,58500.0,59150.0,59800.0,60450.0,61100.0,61750.0,62400.0,63050.0,63700.0,64350.0,65000.0],"times":[367600.0,767901.0,1151803.0,1477804.0,1788802.0,2144007.0,2450409.0,2788606.0,3127309.0,3457810.0,3789408.0,4109311.0,4434710.0,4815112.0,5169912.0,5423011.0,5866613.0,6226816.0,6426114.0,6760721.0,7422220.0,7455317.0,7780117.0,8249426.0,8469122.0,8825224.0,9307419.0,9452623.0,9802721.0,10358926.0,10428222.0,10766327.0,11345131.0,11498327.0,11817829.0,12375933.0,12430530.0,12761531.0,13334435.0,13695033.0,13785632.0,14363735.0,14697933.0,15060335.0,15427638.0,15750040.0,16075026.0,16576640.0,16909148.0,17232943.0,17561038.0,17900825.0,18213745.0,18616047.0,18950648.0,19274650.0,19627945.0,19971851.0,20271150.0,20623654.0,20955453.0,21414954.0,21734452.0,21663855.0,21911257.0,22224360.0,22537461.0,22866757.0,23201157.0,23594265.0,23933264.0,24244658.0,24636662.0,24919561.0,25227267.0,25559362.0,25875972.0,26215056.0,26479267.0,26858765.0,27185266.0,27629871.0,27987186.0,28267816.0,28589026.0,28932885.0,29382219.0,29625923.0,29982421.0,30388227.0,30570328.0,30928133.0,31309231.0,31645838.0,31979435.0,32413340.0,32689839.0,33041947.0,33426248.0,33744550.0]}
\ No newline at end of file
+{"sampling_mode":"Linear","iters":[1042.0,2084.0,3126.0,4168.0,5210.0,6252.0,7294.0,8336.0,9378.0,10420.0,11462.0,12504.0,13546.0,14588.0,15630.0,16672.0,17714.0,18756.0,19798.0,20840.0,21882.0,22924.0,23966.0,25008.0,26050.0,27092.0,28134.0,29176.0,30218.0,31260.0,32302.0,33344.0,34386.0,35428.0,36470.0,37512.0,38554.0,39596.0,40638.0,41680.0,42722.0,43764.0,44806.0,45848.0,46890.0,47932.0,48974.0,50016.0,51058.0,52100.0,53142.0,54184.0,55226.0,56268.0,57310.0,58352.0,59394.0,60436.0,61478.0,62520.0,63562.0,64604.0,65646.0,66688.0,67730.0,68772.0,69814.0,70856.0,71898.0,72940.0,73982.0,75024.0,76066.0,77108.0,78150.0,79192.0,80234.0,81276.0,82318.0,83360.0,84402.0,85444.0,86486.0,87528.0,88570.0,89612.0,90654.0,91696.0,92738.0,93780.0,94822.0,95864.0,96906.0,97948.0,98990.0,100032.0,101074.0,102116.0,103158.0,104200.0],"times":[381827.0,705095.0,1034240.0,1377492.0,1691475.0,2005134.0,2608913.0,2895309.0,3390346.0,3668349.0,3975535.0,4360536.0,4648321.0,4897436.0,5279242.0,5661362.0,6169146.0,6321263.0,6918477.0,7021945.0,8310332.0,7831208.0,8245214.0,8601191.0,9025972.0,9092605.0,9448950.0,9931689.0,10278805.0,10452120.0,10812301.0,11343937.0,11599769.0,11850031.0,12199580.0,12497245.0,13217680.0,13218048.0,13494957.0,13869408.0,14518834.0,14709019.0,14926640.0,15289618.0,14810616.0,15139258.0,15654006.0,15939449.0,16192933.0,16477882.0,14957370.0,15282955.0,15563176.0,15969843.0,16213140.0,16608180.0,19002338.0,19112409.0,19556317.0,19814094.0,20150891.0,20500942.0,20914845.0,21325343.0,21609973.0,21981183.0,22329270.0,22667671.0,23070465.0,23375908.0,23906657.0,24154639.0,24525369.0,24870957.0,25208572.0,25567013.0,25900520.0,26413208.0,26626355.0,27050299.0,29149770.0,29498125.0,30053428.0,30382606.0,32237008.0,31066928.0,31838106.0,32510674.0,32140239.0,32465177.0,33250042.0,33423197.0,33852672.0,33758334.0,34971628.0,34770763.0,35072243.0,35771072.0,36053716.0,36099467.0]}
\ No newline at end of file
diff --git a/event_deserialization/1024/new/tukey.json b/event_deserialization/1024/new/tukey.json
index 897d3800..5da9ba86 100644
--- a/event_deserialization/1024/new/tukey.json
+++ b/event_deserialization/1024/new/tukey.json
@@ -1 +1 @@
-[482.91850280340736,500.4841635034908,547.3259253703799,564.8915860704633]
\ No newline at end of file
+[243.1155011353029,281.8874702002262,385.2793877066882,424.0513567716115]
\ No newline at end of file
diff --git a/event_deserialization/1024/report/MAD.svg b/event_deserialization/1024/report/MAD.svg
index 273ebeb9..2839b996 100644
--- a/event_deserialization/1024/report/MAD.svg
+++ b/event_deserialization/1024/report/MAD.svg
@@ -9,66 +9,74 @@ Density (a.u.)
Average time (ns)
-
+
0.05
-
-
+
+
0.1
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-
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+
+
+21
-
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+
+
+
+
Bootstrap distribution
diff --git a/event_deserialization/1024/report/SD.svg b/event_deserialization/1024/report/SD.svg
index 752c8f98..91403735 100644
--- a/event_deserialization/1024/report/SD.svg
+++ b/event_deserialization/1024/report/SD.svg
@@ -9,66 +9,62 @@ Density (a.u.)
Average time (ns)
-
-0.02
+
+0.05
-
-
-0.04
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-0.06
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-0.08
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+
+
0.1
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+
+
+0.15
-
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-0.14
+
+
+0.2
-
-
-0.16
+
+
+0.25
-
+
-
-8
+
+15
-
-
-10
+
+
+16
-
-
-12
+
+
+17
-
-
-14
+
+
+18
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-
-16
+
+
+19
-
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-18
+
+
+20
+
+
+
+21
+
+
+
+22
-
-
-
-
+
+
+
+
Bootstrap distribution
diff --git a/event_deserialization/1024/report/both/pdf.svg b/event_deserialization/1024/report/both/pdf.svg
deleted file mode 100644
index e08384f4..00000000
--- a/event_deserialization/1024/report/both/pdf.svg
+++ /dev/null
@@ -1,81 +0,0 @@
-
-
-event_deserialization/1024
-
-
-Density (a.u.)
-
-
-Average Time (ns)
-
-
-
-0.005
-
-
-
-0.01
-
-
-
-0.015
-
-
-
-0.02
-
-
-
-0.025
-
-
-
-0.03
-
-
-
-0.035
-
-
-
-0.04
-
-
-
-
-450
-
-
-
-500
-
-
-
-550
-
-
-
-600
-
-
-
-
-
-
-
-Base PDF
-
-
-New PDF
-
-
-Base Mean
-
-
-New Mean
-
-
-
-
-
-
diff --git a/event_deserialization/1024/report/both/regression.svg b/event_deserialization/1024/report/both/regression.svg
deleted file mode 100644
index 279c9371..00000000
--- a/event_deserialization/1024/report/both/regression.svg
+++ /dev/null
@@ -1,100 +0,0 @@
-
-
-event_deserialization/1024
-
-
-Total sample time (ms)
-
-
-Iterations (x 10^3)
-
-
-
-
-
-
-
-
-
-
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-
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-5.0
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-10.0
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-20.0
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-25.0
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-30.0
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-35.0
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-
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-
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-Base Sample
-
-
-New Sample
-
-
-
-
diff --git a/event_deserialization/1024/report/change/mean.svg b/event_deserialization/1024/report/change/mean.svg
deleted file mode 100644
index 8db56298..00000000
--- a/event_deserialization/1024/report/change/mean.svg
+++ /dev/null
@@ -1,81 +0,0 @@
-
-
-event_deserialization/1024:mean
-
-
-Density (a.u.)
-
-
-Relative change (%)
-
-
-
-10
-
-
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-20
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-40
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-
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-0.185
-
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-0.19
-
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-
-
-
-
-
-Bootstrap distribution
-
-
-Confidence interval
-
-
-Point estimate
-
-
-Noise threshold
-
-
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-
diff --git a/event_deserialization/1024/report/change/median.svg b/event_deserialization/1024/report/change/median.svg
deleted file mode 100644
index 79668498..00000000
--- a/event_deserialization/1024/report/change/median.svg
+++ /dev/null
@@ -1,73 +0,0 @@
-
-
-event_deserialization/1024:median
-
-
-Density (a.u.)
-
-
-Relative change (%)
-
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-20
-
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-40
-
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-
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-0.175
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-
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-0.185
-
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-
-Bootstrap distribution
-
-
-Confidence interval
-
-
-Point estimate
-
-
-Noise threshold
-
-
-
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-
-
diff --git a/event_deserialization/1024/report/change/t-test.svg b/event_deserialization/1024/report/change/t-test.svg
deleted file mode 100644
index e553d432..00000000
--- a/event_deserialization/1024/report/change/t-test.svg
+++ /dev/null
@@ -1,95 +0,0 @@
-
-
-event_deserialization/1024: Welch t test
-
-
-Density
-
-
-t score
-
-
-
-0.05
-
-
-
-0.1
-
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-0.2
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-
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--4.0
-
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--3.0
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-
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--2.0
-
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--1.0
-
-
-
-0.0
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-t distribution
-
-
-t statistic
-
-
-
-
diff --git a/event_deserialization/1024/report/index.html b/event_deserialization/1024/report/index.html
index f75e7b56..ea5559ab 100644
--- a/event_deserialization/1024/report/index.html
+++ b/event_deserialization/1024/report/index.html
@@ -118,45 +118,45 @@
Slope
- 519.61 ns
- 520.48 ns
- 521.55 ns
+ 329.41 ns
+ 334.03 ns
+ 338.13 ns
Throughput
- 1.8286 GiB/s
- 1.8323 GiB/s
- 1.8354 GiB/s
+ 2.8205 GiB/s
+ 2.8551 GiB/s
+ 2.8951 GiB/s
R²
- 0.9879824
- 0.9883665
- 0.9877907
+ 0.7311058
+ 0.7433639
+ 0.7336701
Mean
- 523.87 ns
- 526.22 ns
- 528.97 ns
+ 329.05 ns
+ 332.71 ns
+ 336.26 ns
Std. Dev.
- 8.0186 ns
- 13.145 ns
- 17.425 ns
+ 14.879 ns
+ 18.412 ns
+ 21.474 ns
Median
- 519.45 ns
- 521.26 ns
- 526.73 ns
+ 331.98 ns
+ 335.17 ns
+ 339.57 ns
MAD
- 3.2866 ns
- 6.6999 ns
- 10.294 ns
+ 13.472 ns
+ 18.298 ns
+ 20.419 ns
@@ -198,89 +198,6 @@
documentation for more details on the additional statistics.
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +16.908%
- +18.003%
- +18.997%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -14.463%
- -15.256%
- -15.964%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +16.890%
- +17.139%
- +17.367%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -14.450%
- -14.631%
- -14.797%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- The plot on the right shows the iteration times for the two measurements. Again, the red dots represent
- the previous measurement while the blue dots show the current measurement.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +13.951%
- +14.877%
- +15.807%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -12.243%
- -12.951%
- -13.649%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +38.870%
- +40.303%
- +41.729%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -27.990%
- -28.726%
- -29.443%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- The plot on the right shows the iteration times for the two measurements. Again, the red dots represent
- the previous measurement while the blue dots show the current measurement.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +23.751%
- +24.025%
- +24.292%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -19.193%
- -19.371%
- -19.544%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +10.299%
- +10.984%
- +11.658%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -9.3370%
- -9.8968%
- -10.441%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +33.705%
- +35.346%
- +36.894%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -25.209%
- -26.116%
- -26.951%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- The plot on the right shows the iteration times for the two measurements. Again, the red dots represent
- the previous measurement while the blue dots show the current measurement.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +12.534%
- +13.807%
- +15.000%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -11.138%
- -12.132%
- -13.043%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +1.2390%
- +2.4798%
- +3.7026%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -1.2239%
- -2.4197%
- -3.5704%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +9.8062%
- +10.101%
- +10.567%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -8.9305%
- -9.1742%
- -9.5572%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +11.778%
- +15.192%
- +18.599%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -10.537%
- -13.188%
- -15.682%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +38.016%
- +39.741%
- +41.513%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -27.545%
- -28.439%
- -29.335%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- The plot on the right shows the iteration times for the two measurements. Again, the red dots represent
- the previous measurement while the blue dots show the current measurement.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +70.213%
- +74.683%
- +79.791%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -41.250%
- -42.753%
- -44.380%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +12.394%
- +13.877%
- +15.347%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -11.027%
- -12.186%
- -13.305%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +30.488%
- +31.578%
- +32.763%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -23.365%
- -24.000%
- -24.678%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- The plot on the right shows the iteration times for the two measurements. Again, the red dots represent
- the previous measurement while the blue dots show the current measurement.
- See the
- documentation for more details on the additional statistics.
-
-
- Change Since Previous Benchmark
-
-
-
-
-
Additional Statistics:
-
-
-
-
- Lower bound
- Estimate
- Upper bound
-
-
-
-
-
- Change in time
- +17.437%
- +23.197%
- +29.842%
- (p = 0.00 <
- 0.05)
-
-
- Change in throughput
- -14.848%
- -18.830%
- -22.983%
-
-
-
-
- Performance has regressed.
-
-
-
-
- Understanding this report:
- 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.
- 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.
- See the
- documentation for more details on the additional statistics.
-