Decouple Staking and Election - Part 2 Unsigned Phase

[kianenigma]

Attempt to break down #7319. Part 2

• Original PR: Decouple Staking and Election #7319
• Part 1 Decouple Stkaing and Election - Part1: Support traits #7908
• Part 2 Decouple Staking and Election - Part 2 Unsigned Phase #7909 --> Enabling it as dry-run: Enable two phase election provider in runtimes in 'DryRun' mode polkadot#2476
• Part 2.1 Decouple Staking and Election - Part 2.1: Unleash Multi Phase #8113, and polkadot companion: Companion for substrate/pull/8113 (Unleash multi phase) polkadot#2432
• Part 3 Decouple Staking and Election - Part 3: Signed Phase #7910

Priori to merge:

• re-run all staking solution fuzzer.
• re-weigh staking.
• get a feeling of how many nominators we can support with this PR, in unsigned, and no further optimizations.

polkadot companion: paritytech/polkadot#2476

Pallet with just unsigned phase. There is a small notion of signed phase, but except for defining the range and switching a Phase storage, no logic is in the signed phase.

Also the docs of the module are the full docs. That would have been too much to decouple.

[parity-benchapp]

Finished benchmark for branch: kiz-election-provider-2-two-phase-unsigned

Benchmark: Benchmark Runtime Pallet

cargo run --release --features=runtime-benchmarks --manifest-path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_election_provider_multi_phase --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/election-provider-multi-phase/src/weights.rs --template=./.maintain/frame-weight-template.hbs

Results

Pallet: "pallet_election_provider_multi_phase", Extrinsic: "on_initialize_nothing", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 23.4
µs

Reads = 7
Writes = 0
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 23.4
µs

Reads = 7
Writes = 0
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "on_initialize_open_signed", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 79.26
µs

Reads = 7
Writes = 4
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 79.26
µs

Reads = 7
Writes = 4
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "on_initialize_open_unsigned_with_snapshot", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 77.74
µs

Reads = 7
Writes = 4
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 77.74
µs

Reads = 7
Writes = 4
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "on_initialize_open_unsigned_without_snapshot", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 21.76
µs

Reads = 1
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 21.76
µs

Reads = 1
Writes = 1
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "submit_unsigned", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 0
+ v 4.138
+ t 0.171
+ a 13.08
+ d 7.587
µs

Reads = 6 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Writes = 1 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v t a d mean µs sigma µs %
4000 1600 3000 800 58030 96.22 0.1%
4040 1600 3000 800 58100 64.21 0.1%
4080 1600 3000 800 58270 105.9 0.1%
4120 1600 3000 800 58470 154.9 0.2%
4160 1600 3000 800 58600 71.88 0.1%
4200 1600 3000 800 58910 90.08 0.1%
4240 1600 3000 800 58940 81.47 0.1%
4280 1600 3000 800 59110 129.8 0.2%
4320 1600 3000 800 59400 112.5 0.1%
4360 1600 3000 800 59320 123.2 0.2%
4400 1600 3000 800 59600 54.24 0.0%
4440 1600 3000 800 59790 73.56 0.1%
4480 1600 3000 800 59880 78.21 0.1%
4520 1600 3000 800 60020 156.9 0.2%
4560 1600 3000 800 60250 124.8 0.2%
4600 1600 3000 800 60350 89.29 0.1%
4640 1600 3000 800 60680 117.5 0.1%
4680 1600 3000 800 60820 102.5 0.1%
4720 1600 3000 800 60950 118.6 0.1%
4760 1600 3000 800 61090 104.4 0.1%
4800 1600 3000 800 61220 126.4 0.2%
4840 1600 3000 800 61450 103.1 0.1%
4880 1600 3000 800 61450 148.8 0.2%
4920 1600 3000 800 61750 158.3 0.2%
4960 1600 3000 800 61880 91.78 0.1%
5000 1600 3000 800 62050 87.91 0.1%
5040 1600 3000 800 62420 86.97 0.1%
5080 1600 3000 800 62320 104 0.1%
5120 1600 3000 800 62720 92.25 0.1%
5160 1600 3000 800 62730 56.81 0.0%
5200 1600 3000 800 62970 73.38 0.1%
5240 1600 3000 800 63110 88.73 0.1%
5280 1600 3000 800 63360 143.3 0.2%
5320 1600 3000 800 63380 76.72 0.1%
5360 1600 3000 800 63640 110.3 0.1%
5400 1600 3000 800 63810 90.16 0.1%
5440 1600 3000 800 63780 145.5 0.2%
5480 1600 3000 800 63870 115.4 0.1%
5520 1600 3000 800 64170 103 0.1%
5560 1600 3000 800 64270 148.5 0.2%
5600 1600 3000 800 64610 119.4 0.1%
5640 1600 3000 800 64420 150.3 0.2%
5680 1600 3000 800 64870 149.7 0.2%
5720 1600 3000 800 65120 105.9 0.1%
5760 1600 3000 800 65310 109.2 0.1%
5800 1600 3000 800 65360 91.55 0.1%
5840 1600 3000 800 65620 177.6 0.2%
5880 1600 3000 800 65670 133.2 0.2%
5920 1600 3000 800 66010 145.5 0.2%
5960 1600 3000 800 66160 94.49 0.1%
6000 1000 3000 800 66130 159.5 0.2%
6000 1012 3000 800 66300 127.2 0.1%
6000 1024 3000 800 66190 124.6 0.1%
6000 1036 3000 800 65990 162.8 0.2%
6000 1048 3000 800 66160 135.3 0.2%
6000 1060 3000 800 66200 118.6 0.1%
6000 1072 3000 800 66270 111 0.1%
6000 1084 3000 800 66210 103 0.1%
6000 1096 3000 800 66170 135.5 0.2%
6000 1108 3000 800 66140 107.9 0.1%
6000 1120 3000 800 66200 115.5 0.1%
6000 1132 3000 800 66140 79.23 0.1%
6000 1144 3000 800 66260 89.82 0.1%
6000 1156 3000 800 66170 110.9 0.1%
6000 1168 3000 800 66180 83.22 0.1%
6000 1180 3000 800 66190 129.9 0.1%
6000 1192 3000 800 66250 129.2 0.1%
6000 1204 3000 800 65970 153.2 0.2%
6000 1216 3000 800 66150 132.8 0.2%
6000 1228 3000 800 66250 74.78 0.1%
6000 1240 3000 800 65900 112.5 0.1%
6000 1252 3000 800 66220 114.9 0.1%
6000 1264 3000 800 66260 99.27 0.1%
6000 1276 3000 800 66340 128.7 0.1%
6000 1288 3000 800 66120 175.4 0.2%
6000 1300 3000 800 66240 68.4 0.1%
6000 1312 3000 800 66080 86.31 0.1%
6000 1324 3000 800 66120 139.9 0.2%
6000 1336 3000 800 66150 136.1 0.2%
6000 1348 3000 800 66210 61.08 0.0%
6000 1360 3000 800 66280 123 0.1%
6000 1372 3000 800 66110 125.3 0.1%
6000 1384 3000 800 66170 81.38 0.1%
6000 1396 3000 800 66180 109.7 0.1%
6000 1408 3000 800 66310 131.1 0.1%
6000 1420 3000 800 66120 120.2 0.1%
6000 1432 3000 800 66070 116.1 0.1%
6000 1444 3000 800 66190 75.1 0.1%
6000 1456 3000 800 66390 123.7 0.1%
6000 1468 3000 800 66300 115.7 0.1%
6000 1480 3000 800 66120 177.5 0.2%
6000 1492 3000 800 66250 115.9 0.1%
6000 1504 3000 800 66200 102.1 0.1%
6000 1516 3000 800 66330 100.9 0.1%
6000 1528 3000 800 66030 88.84 0.1%
6000 1540 3000 800 66390 113.3 0.1%
6000 1552 3000 800 66230 156.1 0.2%
6000 1564 3000 800 66200 168.1 0.2%
6000 1576 3000 800 66290 128.5 0.1%
6000 1588 3000 800 66320 141.1 0.2%
6000 1600 1000 800 39140 114.4 0.2%
6000 1600 1040 800 39610 63.33 0.1%
6000 1600 1080 800 40180 164.5 0.4%
6000 1600 1120 800 40740 69.78 0.1%
6000 1600 1160 800 41120 93.42 0.2%
6000 1600 1200 800 41540 130.6 0.3%
6000 1600 1240 800 42110 118.2 0.2%
6000 1600 1280 800 42550 102.2 0.2%
6000 1600 1320 800 43080 85.76 0.1%
6000 1600 1360 800 43570 69.37 0.1%
6000 1600 1400 800 45020 135.3 0.3%
6000 1600 1440 800 45460 82.32 0.1%
6000 1600 1480 800 45930 115.6 0.2%
6000 1600 1520 800 46540 70.09 0.1%
6000 1600 1560 800 47170 107.7 0.2%
6000 1600 1600 800 47530 45.63 0.0%
6000 1600 1640 800 48140 105 0.2%
6000 1600 1680 800 48640 109.4 0.2%
6000 1600 1720 800 49130 94.05 0.1%
6000 1600 1760 800 49610 85.04 0.1%
6000 1600 1800 800 50310 60.56 0.1%
6000 1600 1840 800 50630 81.4 0.1%
6000 1600 1880 800 51150 111.8 0.2%
6000 1600 1920 800 51650 110.3 0.2%
6000 1600 1960 800 52170 124.6 0.2%
6000 1600 2000 800 52640 117.4 0.2%
6000 1600 2040 800 53030 89.56 0.1%
6000 1600 2080 800 53740 39.34 0.0%
6000 1600 2120 800 54090 73.85 0.1%
6000 1600 2160 800 54510 76.54 0.1%
6000 1600 2200 800 55100 105.6 0.1%
6000 1600 2240 800 55610 156.6 0.2%
6000 1600 2280 800 56080 144.6 0.2%
6000 1600 2320 800 56380 127.9 0.2%
6000 1600 2360 800 56850 81.73 0.1%
6000 1600 2400 800 57220 50 0.0%
6000 1600 2440 800 57910 71.94 0.1%
6000 1600 2480 800 58220 122.3 0.2%
6000 1600 2520 800 58820 80.86 0.1%
6000 1600 2560 800 59110 68.38 0.1%
6000 1600 2600 800 59490 107.4 0.1%
6000 1600 2640 800 60130 73.96 0.1%
6000 1600 2680 800 60320 61.99 0.1%
6000 1600 2720 800 61040 116.3 0.1%
6000 1600 2760 800 61580 124.2 0.2%
6000 1600 2800 800 62080 107.2 0.1%
6000 1600 2840 800 62570 141.5 0.2%
6000 1600 2880 800 64880 90.7 0.1%
6000 1600 2920 800 65240 70.18 0.1%
6000 1600 2960 800 65880 122.6 0.1%
6000 1600 3000 400 63780 115.8 0.1%
6000 1600 3000 408 63810 98.45 0.1%
6000 1600 3000 416 63780 80.39 0.1%
6000 1600 3000 424 63830 112.3 0.1%
6000 1600 3000 432 64040 153.9 0.2%
6000 1600 3000 440 63950 81.27 0.1%
6000 1600 3000 448 64090 93.98 0.1%
6000 1600 3000 456 64060 116.1 0.1%
6000 1600 3000 464 64050 125.3 0.1%
6000 1600 3000 472 64300 200.8 0.3%
6000 1600 3000 480 64500 129 0.2%
6000 1600 3000 488 64430 130.9 0.2%
6000 1600 3000 496 64590 101.6 0.1%
6000 1600 3000 504 64740 81.62 0.1%
6000 1600 3000 512 64880 94.93 0.1%
6000 1600 3000 520 65060 137.6 0.2%
6000 1600 3000 528 65340 95.93 0.1%
6000 1600 3000 536 65350 54.48 0.0%
6000 1600 3000 544 65430 107.2 0.1%
6000 1600 3000 552 65470 81.62 0.1%
6000 1600 3000 560 65540 127.3 0.1%
6000 1600 3000 568 65700 64.47 0.0%
6000 1600 3000 576 65770 175 0.2%
6000 1600 3000 584 65830 155.9 0.2%
6000 1600 3000 592 65890 179.9 0.2%
6000 1600 3000 600 66050 93.8 0.1%
6000 1600 3000 608 66320 96.32 0.1%
6000 1600 3000 616 66240 43.95 0.0%
6000 1600 3000 624 66320 125.8 0.1%
6000 1600 3000 632 66350 92.22 0.1%
6000 1600 3000 640 66370 73.99 0.1%
6000 1600 3000 648 66420 92.87 0.1%
6000 1600 3000 656 66450 113.3 0.1%
6000 1600 3000 664 66480 75.33 0.1%
6000 1600 3000 672 66550 46.96 0.0%
6000 1600 3000 680 66730 44.08 0.0%
6000 1600 3000 688 66600 139.7 0.2%
6000 1600 3000 696 66630 82.47 0.1%
6000 1600 3000 704 66440 127.4 0.1%
6000 1600 3000 712 66670 76.08 0.1%
6000 1600 3000 720 66320 128.7 0.1%
6000 1600 3000 728 66530 115.6 0.1%
6000 1600 3000 736 66640 116.5 0.1%
6000 1600 3000 744 66520 138.1 0.2%
6000 1600 3000 752 66610 159.4 0.2%
6000 1600 3000 760 66740 122.6 0.1%
6000 1600 3000 768 66520 126.5 0.1%
6000 1600 3000 776 66550 57.62 0.0%
6000 1600 3000 784 66620 158.3 0.2%
6000 1600 3000 792 66460 166.8 0.2%
6000 1600 3000 800 66300 138 0.2%

Quality and confidence:
param error
v 0.023
t 0.078
a 0.023
d 0.117

Model:
Time ~= 0
+ v 4.171
+ t 0.229
+ a 13.66
+ d 4.499
µs

Reads = 6 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Writes = 1 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "feasibility_check", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 0
+ v 4.112
+ t 0.238
+ a 10.19
+ d 5.829
µs

Reads = 3 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Writes = 0 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v t a d mean µs sigma µs %
4000 1600 3000 800 48300 63.74 0.1%
4040 1600 3000 800 48300 69.22 0.1%
4080 1600 3000 800 48530 44.91 0.0%
4120 1600 3000 800 48630 89.08 0.1%
4160 1600 3000 800 48950 48.23 0.0%
4200 1600 3000 800 49020 45.27 0.0%
4240 1600 3000 800 49260 40.53 0.0%
4280 1600 3000 800 49440 19.39 0.0%
4320 1600 3000 800 49570 38.88 0.0%
4360 1600 3000 800 49680 70.8 0.1%
4400 1600 3000 800 49800 52.89 0.1%
4440 1600 3000 800 49980 53.11 0.1%
4480 1600 3000 800 50140 68.53 0.1%
4520 1600 3000 800 50350 103.2 0.2%
4560 1600 3000 800 50420 40.67 0.0%
4600 1600 3000 800 50650 43.7 0.0%
4640 1600 3000 800 50850 40.65 0.0%
4680 1600 3000 800 50940 78.31 0.1%
4720 1600 3000 800 51110 84.09 0.1%
4760 1600 3000 800 51300 71.03 0.1%
4800 1600 3000 800 51430 74.85 0.1%
4840 1600 3000 800 51590 34.97 0.0%
4880 1600 3000 800 51680 46.7 0.0%
4920 1600 3000 800 51850 89.15 0.1%
4960 1600 3000 800 52190 108 0.2%
5000 1600 3000 800 52260 74.03 0.1%
5040 1600 3000 800 52450 110.9 0.2%
5080 1600 3000 800 52600 75.36 0.1%
5120 1600 3000 800 52900 59.42 0.1%
5160 1600 3000 800 52930 96.16 0.1%
5200 1600 3000 800 53130 111.1 0.2%
5240 1600 3000 800 53290 67.75 0.1%
5280 1600 3000 800 53490 101.5 0.1%
5320 1600 3000 800 53640 75.49 0.1%
5360 1600 3000 800 53880 71.39 0.1%
5400 1600 3000 800 53940 63.83 0.1%
5440 1600 3000 800 54100 100.7 0.1%
5480 1600 3000 800 54200 73.25 0.1%
5520 1600 3000 800 54240 96.78 0.1%
5560 1600 3000 800 54580 48.73 0.0%
5600 1600 3000 800 54690 90.73 0.1%
5640 1600 3000 800 54920 85.98 0.1%
5680 1600 3000 800 55110 75.63 0.1%
5720 1600 3000 800 55150 101.3 0.1%
5760 1600 3000 800 55520 50.01 0.0%
5800 1600 3000 800 55490 59.87 0.1%
5840 1600 3000 800 55810 127.3 0.2%
5880 1600 3000 800 55930 127.9 0.2%
5920 1600 3000 800 56320 73.57 0.1%
5960 1600 3000 800 56350 57.68 0.1%
6000 1000 3000 800 56200 101.1 0.1%
6000 1012 3000 800 56260 65.85 0.1%
6000 1024 3000 800 56360 118 0.2%
6000 1036 3000 800 56220 113.8 0.2%
6000 1048 3000 800 56230 74.71 0.1%
6000 1060 3000 800 56220 126.9 0.2%
6000 1072 3000 800 56260 69.49 0.1%
6000 1084 3000 800 56370 52.6 0.0%
6000 1096 3000 800 56370 59.74 0.1%
6000 1108 3000 800 56350 59.92 0.1%
6000 1120 3000 800 56300 110 0.1%
6000 1132 3000 800 56240 115.3 0.2%
6000 1144 3000 800 56160 71.09 0.1%
6000 1156 3000 800 56310 123.6 0.2%
6000 1168 3000 800 56430 59.05 0.1%
6000 1180 3000 800 56470 77.89 0.1%
6000 1192 3000 800 56400 67.32 0.1%
6000 1204 3000 800 56270 119.1 0.2%
6000 1216 3000 800 56400 91.26 0.1%
6000 1228 3000 800 56350 55.64 0.0%
6000 1240 3000 800 56280 67.76 0.1%
6000 1252 3000 800 56490 76.33 0.1%
6000 1264 3000 800 56370 118.3 0.2%
6000 1276 3000 800 56420 56.44 0.1%
6000 1288 3000 800 56400 158.4 0.2%
6000 1300 3000 800 56390 85.82 0.1%
6000 1312 3000 800 56190 119.1 0.2%
6000 1324 3000 800 56280 97.8 0.1%
6000 1336 3000 800 56240 153.3 0.2%
6000 1348 3000 800 56340 84.27 0.1%
6000 1360 3000 800 56200 39.3 0.0%
6000 1372 3000 800 56320 130.8 0.2%
6000 1384 3000 800 56370 108.7 0.1%
6000 1396 3000 800 56420 137.6 0.2%
6000 1408 3000 800 56440 96.76 0.1%
6000 1420 3000 800 56100 105.2 0.1%
6000 1432 3000 800 56250 72.3 0.1%
6000 1444 3000 800 56340 84.62 0.1%
6000 1456 3000 800 56380 63.72 0.1%
6000 1468 3000 800 56450 126.4 0.2%
6000 1480 3000 800 56330 81.55 0.1%
6000 1492 3000 800 56440 112.4 0.1%
6000 1504 3000 800 56520 74.91 0.1%
6000 1516 3000 800 56220 58.44 0.1%
6000 1528 3000 800 56320 137.9 0.2%
6000 1540 3000 800 56490 114.1 0.2%
6000 1552 3000 800 56370 65.09 0.1%
6000 1564 3000 800 56480 87.96 0.1%
6000 1576 3000 800 56480 82.87 0.1%
6000 1588 3000 800 56340 120.9 0.2%
6000 1600 1000 800 35920 82.67 0.2%
6000 1600 1040 800 36250 44.19 0.1%
6000 1600 1080 800 36840 82.8 0.2%
6000 1600 1120 800 37100 110.3 0.2%
6000 1600 1160 800 37560 58.68 0.1%
6000 1600 1200 800 37940 85.57 0.2%
6000 1600 1240 800 38520 48.29 0.1%
6000 1600 1280 800 38740 141.1 0.3%
6000 1600 1320 800 39260 130 0.3%
6000 1600 1360 800 39550 70.07 0.1%
6000 1600 1400 800 40070 65.98 0.1%
6000 1600 1440 800 40510 75.01 0.1%
6000 1600 1480 800 40990 67.98 0.1%
6000 1600 1520 800 41280 103.7 0.2%
6000 1600 1560 800 41680 62.35 0.1%
6000 1600 1600 800 42330 82.32 0.1%
6000 1600 1640 800 42430 63.96 0.1%
6000 1600 1680 800 43110 143.6 0.3%
6000 1600 1720 800 43550 99.96 0.2%
6000 1600 1760 800 44040 67.71 0.1%
6000 1600 1800 800 44430 110.8 0.2%
6000 1600 1840 800 44880 75.4 0.1%
6000 1600 1880 800 45200 108.2 0.2%
6000 1600 1920 800 45760 85.16 0.1%
6000 1600 1960 800 46160 181.5 0.3%
6000 1600 2000 800 46360 68.3 0.1%
6000 1600 2040 800 46830 149.8 0.3%
6000 1600 2080 800 47050 48.26 0.1%
6000 1600 2120 800 47800 88.03 0.1%
6000 1600 2160 800 47900 85.13 0.1%
6000 1600 2200 800 48400 181.1 0.3%
6000 1600 2240 800 48780 201.7 0.4%
6000 1600 2280 800 49220 107.1 0.2%
6000 1600 2320 800 49360 90.38 0.1%
6000 1600 2360 800 50010 88.7 0.1%
6000 1600 2400 800 50210 148.9 0.2%
6000 1600 2440 800 50810 112.9 0.2%
6000 1600 2480 800 51010 139.9 0.2%
6000 1600 2520 800 51510 84.7 0.1%
6000 1600 2560 800 51720 104.2 0.2%
6000 1600 2600 800 52280 138.5 0.2%
6000 1600 2640 800 52650 180.5 0.3%
6000 1600 2680 800 53090 113.4 0.2%
6000 1600 2720 800 53470 142.2 0.2%
6000 1600 2760 800 53770 52.62 0.0%
6000 1600 2800 800 54220 132.1 0.2%
6000 1600 2840 800 54540 47.7 0.0%
6000 1600 2880 800 55200 55.99 0.1%
6000 1600 2920 800 55490 115.6 0.2%
6000 1600 2960 800 56060 97.39 0.1%
6000 1600 3000 400 54430 162.2 0.2%
6000 1600 3000 408 54280 187 0.3%
6000 1600 3000 416 54350 100.5 0.1%
6000 1600 3000 424 54450 63.14 0.1%
6000 1600 3000 432 54540 91.08 0.1%
6000 1600 3000 440 54470 157 0.2%
6000 1600 3000 448 54540 128.9 0.2%
6000 1600 3000 456 54630 134 0.2%
6000 1600 3000 464 54720 106.3 0.1%
6000 1600 3000 472 54720 216.1 0.3%
6000 1600 3000 480 54920 129.6 0.2%
6000 1600 3000 488 54910 102.3 0.1%
6000 1600 3000 496 54970 127.2 0.2%
6000 1600 3000 504 55180 152.2 0.2%
6000 1600 3000 512 55120 151.1 0.2%
6000 1600 3000 520 55260 127.9 0.2%
6000 1600 3000 528 55390 88.69 0.1%
6000 1600 3000 536 55700 123.8 0.2%
6000 1600 3000 544 55700 67.39 0.1%
6000 1600 3000 552 55800 97.28 0.1%
6000 1600 3000 560 55890 86.67 0.1%
6000 1600 3000 568 55910 93.79 0.1%
6000 1600 3000 576 56080 115.9 0.2%
6000 1600 3000 584 56050 120.5 0.2%
6000 1600 3000 592 56220 81.51 0.1%
6000 1600 3000 600 56270 121.7 0.2%
6000 1600 3000 608 56290 53.09 0.0%
6000 1600 3000 616 56290 72.08 0.1%
6000 1600 3000 624 56470 157.2 0.2%
6000 1600 3000 632 56400 36.41 0.0%
6000 1600 3000 640 56530 39.98 0.0%
6000 1600 3000 648 56510 122.1 0.2%
6000 1600 3000 656 56540 71.26 0.1%
6000 1600 3000 664 56620 115.7 0.2%
6000 1600 3000 672 56610 48.73 0.0%
6000 1600 3000 680 56380 75.41 0.1%
6000 1600 3000 688 56480 85.38 0.1%
6000 1600 3000 696 56430 99.04 0.1%
6000 1600 3000 704 56530 73.77 0.1%
6000 1600 3000 712 56570 74.13 0.1%
6000 1600 3000 720 56430 94 0.1%
6000 1600 3000 728 56530 63.46 0.1%
6000 1600 3000 736 56500 118.7 0.2%
6000 1600 3000 744 56390 140.5 0.2%
6000 1600 3000 752 56510 130.2 0.2%
6000 1600 3000 760 56600 212.3 0.3%
6000 1600 3000 768 56700 136.7 0.2%
6000 1600 3000 776 56430 99.88 0.1%
6000 1600 3000 784 56290 63.07 0.1%
6000 1600 3000 792 56570 134.2 0.2%
6000 1600 3000 800 56440 137.1 0.2%

Quality and confidence:
param error
v 0.012
t 0.042
a 0.012
d 0.064

Model:
Time ~= 0
+ v 4.232
+ t 0.636
+ a 10.29
+ d 4.428
µs

Reads = 3 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Writes = 0 + (0 * v) + (0 * t) + (0 * a) + (0 * d)

[kianenigma]

/benchmark runtime pallet pallet_staking

[parity-benchapp]

Finished benchmark for branch: kiz-election-provider-2-two-phase-unsigned

Benchmark: Benchmark Runtime Pallet

cargo run --release --features=runtime-benchmarks --manifest-path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_staking --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/staking/src/weights.rs --template=./.maintain/frame-weight-template.hbs

Results

Pallet: "pallet_staking", Extrinsic: "bond", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 82.16
µs

Reads = 5
Writes = 4
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 82.16
µs

Reads = 5
Writes = 4
Pallet: "pallet_staking", Extrinsic: "bond_extra", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 66.67
µs

Reads = 4
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 66.67
µs

Reads = 4
Writes = 2
Pallet: "pallet_staking", Extrinsic: "unbond", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 61.51
µs

Reads = 5
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 61.51
µs

Reads = 5
Writes = 3
Pallet: "pallet_staking", Extrinsic: "withdraw_unbonded_update", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 62.87
+ s 0.058
µs

Reads = 5 + (0 * s)
Writes = 3 + (0 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 60.99 0.065 0.1%
2 61.76 0.125 0.2%
4 62.04 0.146 0.2%
6 62.12 0.129 0.2%
8 62.28 0.103 0.1%
10 62.76 0.122 0.1%
12 62.87 0.093 0.1%
14 63.5 0.317 0.4%
16 63.24 0.211 0.3%
18 63.54 0.127 0.1%
20 64.12 0.095 0.1%
22 64.3 0.113 0.1%
24 64.64 0.149 0.2%
26 64.59 0.183 0.2%
28 64.45 0.08 0.1%
30 64.68 0.235 0.3%
32 65.61 0.476 0.7%
34 65.07 0.158 0.2%
36 64.98 0.211 0.3%
38 65.53 0.148 0.2%
40 65.82 0.47 0.7%
42 65.87 0.147 0.2%
44 66.04 0.072 0.1%
46 66.29 0.168 0.2%
48 66 0.313 0.4%
50 65.48 0.588 0.8%
52 66.47 0.12 0.1%
54 66.56 0.151 0.2%
56 66.03 0.706 1.0%
58 66.26 0.702 1.0%
60 66.88 0.118 0.1%
62 66.81 0.243 0.3%
64 67.08 0.257 0.3%
66 67.23 0.193 0.2%
68 67.54 0.159 0.2%
70 67.4 0.173 0.2%
72 65.46 0.382 0.5%
74 64.83 0.178 0.2%
76 65.13 0.2 0.3%
78 65.07 0.075 0.1%
80 67.76 0.941 1.3%
82 68.04 0.257 0.3%
84 68.36 0.155 0.2%
86 66.8 1.121 1.6%
88 67.85 0.999 1.4%
90 68.72 0.156 0.2%
92 67.51 1.281 1.8%
94 68.56 0.217 0.3%
96 65.95 0.189 0.2%
98 65.44 0.171 0.2%
100 65.56 0.224 0.3%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 62.84
+ s 0.052
µs

Reads = 5 + (0 * s)
Writes = 3 + (0 * s)
Pallet: "pallet_staking", Extrinsic: "withdraw_unbonded_kill", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 97.92
+ s 2.828
µs

Reads = 7 + (0 * s)
Writes = 8 + (1 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 92.04 0.221 0.2%
2 102.4 0.138 0.1%
4 108.8 0.164 0.1%
6 113.7 0.216 0.1%
8 120 0.314 0.2%
10 126.1 0.274 0.2%
12 131.3 0.177 0.1%
14 136.8 0.207 0.1%
16 142.3 0.214 0.1%
18 148.9 0.395 0.2%
20 154.3 0.24 0.1%
22 160.4 0.314 0.1%
24 166.8 0.335 0.2%
26 172.4 0.271 0.1%
28 177.8 0.18 0.1%
30 183.2 0.207 0.1%
32 189.1 0.326 0.1%
34 194.5 0.39 0.2%
36 200.9 0.507 0.2%
38 206.1 0.458 0.2%
40 211.8 0.38 0.1%
42 217.7 0.24 0.1%
44 223.8 0.262 0.1%
46 229.2 0.323 0.1%
48 235.3 1.099 0.4%
50 239.6 0.452 0.1%
52 245.2 0.275 0.1%
54 250.5 0.693 0.2%
56 256.2 0.574 0.2%
58 262.6 0.273 0.1%
60 267.8 0.38 0.1%
62 273.2 0.551 0.2%
64 279.3 0.325 0.1%
66 284.3 0.498 0.1%
68 289.7 0.45 0.1%
70 295.3 0.339 0.1%
72 299.4 0.736 0.2%
74 307.9 0.648 0.2%
76 310.5 0.538 0.1%
78 316.2 1.067 0.3%
80 323.4 0.709 0.2%
82 329 0.507 0.1%
84 334.7 1.088 0.3%
86 338.4 1.387 0.4%
88 345.5 1.481 0.4%
90 350.1 0.719 0.2%
92 358.8 0.653 0.1%
94 364.2 0.824 0.2%
96 369.1 0.674 0.1%
98 375.6 0.794 0.2%
100 381.5 0.693 0.1%

Quality and confidence:
param error
s 0.002

Model:
Time ~= 97.74
+ s 2.828
µs

Reads = 7 + (0 * s)
Writes = 8 + (1 * s)
Pallet: "pallet_staking", Extrinsic: "validate", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 21.38
µs

Reads = 2
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 21.38
µs

Reads = 2
Writes = 2
Pallet: "pallet_staking", Extrinsic: "kick", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 30.18
+ k 19.46
µs

Reads = 2 + (1 * k)
Writes = 0 + (1 * k)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
k mean µs sigma µs %
1 53.27 0.197 0.3%
3 91.12 1.592 1.7%
5 130.9 2.359 1.8%
7 166.8 0.344 0.2%
9 203.7 2.796 1.3%
11 242.9 0.377 0.1%
13 279.4 0.526 0.1%
15 317.1 1.577 0.4%
17 358.5 1.341 0.3%
19 401.1 1.355 0.3%
21 442.1 4.931 1.1%
23 487.3 1.65 0.3%
25 523.1 2.95 0.5%
27 551.2 3.195 0.5%
29 591.7 1.677 0.2%
31 632.1 1.044 0.1%
33 673.1 2.708 0.4%
35 722.3 2.326 0.3%
37 755.9 5.766 0.7%
39 786.8 7.86 0.9%
41 832.7 15.01 1.8%
43 856.6 0.886 0.1%
45 900 8.222 0.9%
47 942.3 1.128 0.1%
49 985.6 6.997 0.7%
51 1018 3.108 0.3%
53 1058 5.422 0.5%
55 1100 6.071 0.5%
57 1123 2.329 0.2%
59 1163 1.493 0.1%
61 1221 8.864 0.7%
63 1247 6.924 0.5%
65 1305 11.36 0.8%
67 1344 10.63 0.7%
69 1378 11.12 0.8%
71 1421 8.839 0.6%
73 1478 7.167 0.4%
75 1509 4.908 0.3%
77 1528 5.37 0.3%
79 1567 8.15 0.5%
81 1610 7.02 0.4%
83 1653 5.202 0.3%
85 1683 7.174 0.4%
87 1745 13.4 0.7%
89 1794 12.65 0.7%
91 1806 12.17 0.6%
93 1859 13.93 0.7%
95 1860 9.253 0.4%
97 1911 12.85 0.6%
99 1937 7.058 0.3%
101 1976 8.986 0.4%
103 2031 13.56 0.6%
105 2067 5.506 0.2%
107 2111 16.31 0.7%
109 2147 7.57 0.3%
111 2196 11.16 0.5%
113 2232 7.484 0.3%
115 2273 7.302 0.3%
117 2300 9.663 0.4%
119 2348 9.205 0.3%
121 2397 10.79 0.4%
123 2439 4.107 0.1%
125 2466 12.54 0.5%
127 2511 7.099 0.2%

Quality and confidence:
param error
k 0.013

Model:
Time ~= 30.02
+ k 19.49
µs

Reads = 2 + (1 * k)
Writes = 0 + (1 * k)
Pallet: "pallet_staking", Extrinsic: "nominate", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 34.87
+ n 5.858
µs

Reads = 4 + (1 * n)
Writes = 2 + (0 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 38.04 0.114 0.2%
2 45.94 0.141 0.3%
3 52.35 0.177 0.3%
4 59.15 0.212 0.3%
5 65.27 0.174 0.2%
6 72.43 0.213 0.2%
7 76.86 0.201 0.2%
8 79.46 0.17 0.2%
9 86.59 0.171 0.1%
10 93.58 0.27 0.2%
11 100 0.239 0.2%
12 105.4 0.216 0.2%
13 110.7 0.321 0.2%
14 116.2 0.256 0.2%
15 122.6 0.21 0.1%
16 128 0.186 0.1%

Quality and confidence:
param error
n 0.021

Model:
Time ~= 34.66
+ n 5.871
µs

Reads = 4 + (1 * n)
Writes = 2 + (0 * n)
Pallet: "pallet_staking", Extrinsic: "chill", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 20.55
µs

Reads = 2
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 20.55
µs

Reads = 2
Writes = 2
Pallet: "pallet_staking", Extrinsic: "set_payee", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 14.24
µs

Reads = 1
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 14.24
µs

Reads = 1
Writes = 1
Pallet: "pallet_staking", Extrinsic: "set_controller", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 30.81
µs

Reads = 3
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 30.81
µs

Reads = 3
Writes = 3
Pallet: "pallet_staking", Extrinsic: "set_validator_count", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 2.571
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.571
µs

Reads = 0
Writes = 1
Pallet: "pallet_staking", Extrinsic: "force_no_eras", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 2.817
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.817
µs

Reads = 0
Writes = 1
Pallet: "pallet_staking", Extrinsic: "force_new_era", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 2.828
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.828
µs

Reads = 0
Writes = 1
Pallet: "pallet_staking", Extrinsic: "force_new_era_always", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 2.881
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.881
µs

Reads = 0
Writes = 1
Pallet: "pallet_staking", Extrinsic: "set_invulnerables", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 2.95
+ v 0.034
µs

Reads = 0 + (0 * v)
Writes = 1 + (0 * v)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v mean µs sigma µs %
0 2.788 0.027 0.9%
20 3.665 0.031 0.8%
40 4.487 0.034 0.7%
60 5.195 0.02 0.3%
80 5.867 0.022 0.3%
100 6.546 0.028 0.4%
120 7.221 0.011 0.1%
140 7.914 0.022 0.2%
160 8.575 0.023 0.2%
180 9.209 0.019 0.2%
200 9.929 0.039 0.3%
220 10.66 0.05 0.4%
240 11.29 0.034 0.3%
260 11.89 0.046 0.3%
280 12.67 0.017 0.1%
300 13.36 0.034 0.2%
320 14.1 0.024 0.1%
340 14.74 0.021 0.1%
360 15.43 0.033 0.2%
380 16.07 0.047 0.2%
400 16.84 0.035 0.2%
420 17.53 0.017 0.0%
440 18.32 0.04 0.2%
460 18.94 0.041 0.2%
480 19.49 0.022 0.1%
500 20.15 0.033 0.1%
520 20.88 0.031 0.1%
540 21.55 0.02 0.0%
560 22.25 0.032 0.1%
580 23 0.034 0.1%
600 23.73 0.013 0.0%
620 24.44 0.038 0.1%
640 25.13 0.041 0.1%
660 25.83 0.037 0.1%
680 26.58 0.028 0.1%
700 27.25 0.048 0.1%
720 28.03 0.027 0.0%
740 28.72 0.03 0.1%
760 29.43 0.043 0.1%
780 30.09 0.039 0.1%
800 30.85 0.03 0.0%
820 31.62 0.034 0.1%
840 32.26 0.038 0.1%
860 32.94 0.034 0.1%
880 33.65 0.038 0.1%
900 34.38 0.031 0.0%
920 35.15 0.041 0.1%
940 35.74 0.026 0.0%
960 36.44 0.028 0.0%
980 37.06 0.038 0.1%
1000 37.85 0.072 0.1%

Quality and confidence:
param error
v 0

Model:
Time ~= 2.938
+ v 0.035
µs

Reads = 0 + (0 * v)
Writes = 1 + (0 * v)
Pallet: "pallet_staking", Extrinsic: "force_unstake", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 66.37
+ s 2.827
µs

Reads = 4 + (0 * s)
Writes = 8 + (1 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 60.74 0.108 0.1%
2 70.31 0.119 0.1%
4 77.18 0.176 0.2%
6 82.66 0.084 0.1%
8 88.12 0.153 0.1%
10 93.79 0.096 0.1%
12 100 0.201 0.2%
14 106.2 0.135 0.1%
16 111.7 0.302 0.2%
18 117.4 0.222 0.1%
20 122.6 0.269 0.2%
22 128.8 0.243 0.1%
24 135.4 0.198 0.1%
26 140.8 0.194 0.1%
28 146.2 0.277 0.1%
30 151.6 0.19 0.1%
32 157.3 0.42 0.2%
34 162.8 0.421 0.2%
36 168 0.186 0.1%
38 174.1 0.328 0.1%
40 179.8 0.148 0.0%
42 185.8 0.247 0.1%
44 191.6 0.196 0.1%
46 196.2 0.34 0.1%
48 203.3 0.595 0.2%
50 207.3 0.231 0.1%
52 212.6 0.554 0.2%
54 218.6 0.527 0.2%
56 224.6 0.353 0.1%
58 231.9 2.029 0.8%
60 240.6 0.492 0.2%
62 248.2 1.201 0.4%
64 252.8 0.936 0.3%
66 255 2.307 0.9%
68 258.4 0.417 0.1%
70 263.8 0.434 0.1%
72 268.4 0.631 0.2%
74 276 0.366 0.1%
76 280.7 0.704 0.2%
78 286 0.218 0.0%
80 292.6 1.315 0.4%
82 296.6 0.697 0.2%
84 301.9 0.689 0.2%
86 307.9 0.58 0.1%
88 313.2 1.012 0.3%
90 318.6 0.688 0.2%
92 328.1 0.975 0.2%
94 331.5 0.697 0.2%
96 336.6 0.622 0.1%
98 343.3 0.722 0.2%
100 348.6 0.453 0.1%

Quality and confidence:
param error
s 0.002

Model:
Time ~= 66.24
+ s 2.831
µs

Reads = 4 + (0 * s)
Writes = 8 + (1 * s)
Pallet: "pallet_staking", Extrinsic: "cancel_deferred_slash", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 6696
+ s 34.79
µs

Reads = 1 + (0 * s)
Writes = 1 + (0 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 425.3 0.182 0.0%
20 1721 11.18 0.6%
39 2996 11.75 0.3%
58 4247 1.127 0.0%
77 5480 11.44 0.2%
96 6651 0.956 0.0%
115 7854 12.93 0.1%
134 8985 11.43 0.1%
153 10100 11.84 0.1%
172 11200 11.45 0.1%
191 12270 16.26 0.1%
210 13320 10.17 0.0%
229 14340 13.36 0.0%
248 15340 10.85 0.0%
267 16330 35.09 0.2%
286 17270 32.78 0.1%
305 18190 12.43 0.0%
324 19080 9.7 0.0%
343 19960 18.87 0.0%
362 20870 96.35 0.4%
381 21620 16.28 0.0%
400 22440 8.91 0.0%
419 23200 18.55 0.0%
438 23940 4.073 0.0%
457 24680 10.25 0.0%
476 25390 18.35 0.0%
495 26570 33.97 0.1%
514 26710 35.15 0.1%
533 27320 23.64 0.0%
552 27920 8.778 0.0%
571 28500 27.62 0.0%
590 29040 27.19 0.0%
609 29560 19.62 0.0%
628 30050 10.68 0.0%
647 30510 21.47 0.0%
666 31000 23.87 0.0%
685 31390 29.88 0.0%
704 31780 16.97 0.0%
723 32180 21.06 0.0%
742 32720 242.6 0.7%
761 32840 34.15 0.1%
780 33170 26.48 0.0%
799 33440 21.8 0.0%
818 33670 17.91 0.0%
837 33900 13.61 0.0%
856 34100 15.48 0.0%
875 34250 20.73 0.0%
894 34420 17.67 0.0%
913 34580 39.92 0.1%
932 34650 26.46 0.0%
951 34730 25.89 0.0%
970 34770 17.22 0.0%
989 34800 19.3 0.0%

Quality and confidence:
param error
s 0.393

Model:
Time ~= 5920
+ s 34.79
µs

Reads = 1 + (0 * s)
Writes = 1 + (0 * s)
Pallet: "pallet_staking", Extrinsic: "payout_stakers_dead_controller", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 132.3
+ n 53.31
µs

Reads = 11 + (3 * n)
Writes = 2 + (1 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 175.6 1.179 0.6%
6 446.6 1.206 0.2%
11 710.6 1.338 0.1%
16 987.1 6.381 0.6%
21 1256 8.051 0.6%
26 1517 11.88 0.7%
31 1784 12.11 0.6%
36 2056 8.088 0.3%
41 2336 14.54 0.6%
46 2604 11.19 0.4%
51 2854 11.16 0.3%
56 3107 13.8 0.4%
61 3389 8.048 0.2%
66 3659 10.99 0.3%
71 3922 10.44 0.2%
76 4177 6.969 0.1%
81 4445 11.61 0.2%
86 4783 26.44 0.5%
91 4984 12.04 0.2%
96 5256 11.49 0.2%
101 5525 15.32 0.2%
106 5797 8.469 0.1%
111 6055 10.98 0.1%
116 6297 7.581 0.1%
121 6560 9.278 0.1%
126 6825 15.55 0.2%
131 7092 11.44 0.1%
136 7404 10.87 0.1%
141 7639 15.21 0.1%
146 7969 11.18 0.1%
151 8215 16.51 0.2%
156 8461 8.784 0.1%
161 8721 17.23 0.1%
166 8995 23.1 0.2%
171 9240 11.02 0.1%
176 9497 14.53 0.1%
181 9807 11.42 0.1%
186 10060 8.567 0.0%
191 10300 13.84 0.1%
196 10570 11.76 0.1%
201 10870 25.42 0.2%
206 11080 11.59 0.1%
211 11360 15.56 0.1%
216 11610 22.93 0.1%
221 11880 26.3 0.2%
226 12150 13.81 0.1%
231 12470 22.59 0.1%
236 12770 17.45 0.1%
241 13050 15.48 0.1%
246 13210 24.76 0.1%
251 13510 14.89 0.1%
256 13820 33.17 0.2%

Quality and confidence:
param error
n 0.016

Model:
Time ~= 133.5
+ n 53.33
µs

Reads = 11 + (3 * n)
Writes = 2 + (1 * n)
Pallet: "pallet_staking", Extrinsic: "payout_stakers_alive_staked", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 156.6
+ n 67.94
µs

Reads = 12 + (5 * n)
Writes = 3 + (3 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 218.6 0.275 0.1%
6 564.1 1.374 0.2%
11 901.8 2.758 0.3%
16 1250 5.82 0.4%
21 1596 7.846 0.4%
26 1941 15.83 0.8%
31 2270 8.889 0.3%
36 2601 7.66 0.2%
41 2955 13.31 0.4%
46 3310 10.42 0.3%
51 3641 11.92 0.3%
56 3980 6.649 0.1%
61 4300 9.427 0.2%
66 4637 10.52 0.2%
71 4952 8.576 0.1%
76 5312 10.98 0.2%
81 5642 7.697 0.1%
86 5956 8.661 0.1%
91 6362 11.49 0.1%
96 6687 12.35 0.1%
101 7014 6.381 0.0%
106 7352 8.68 0.1%
111 7669 11.2 0.1%
116 8056 13.44 0.1%
121 8365 16.3 0.1%
126 8672 12.72 0.1%
131 9016 25.32 0.2%
136 9414 17.19 0.1%
141 9737 24.55 0.2%
146 10020 12.67 0.1%
151 10380 19.56 0.1%
156 10680 16.15 0.1%
161 11020 26.09 0.2%
166 11420 15.2 0.1%
171 11720 17.05 0.1%
176 12130 37.97 0.3%
181 12480 18.44 0.1%
186 12830 11.78 0.0%
191 13120 20.69 0.1%
196 13510 34.1 0.2%
201 13920 18.31 0.1%
206 14170 29.15 0.2%
211 14460 17.83 0.1%
216 14820 34.55 0.2%
221 15290 15.46 0.1%
226 15590 24.85 0.1%
231 15860 20.46 0.1%
236 16190 24.26 0.1%
241 16500 24.59 0.1%
246 16810 25.67 0.1%
251 17250 31.5 0.1%
256 17560 60.48 0.3%

Quality and confidence:
param error
n 0.024

Model:
Time ~= 149.8
+ n 68.01
µs

Reads = 12 + (5 * n)
Writes = 3 + (3 * n)
Pallet: "pallet_staking", Extrinsic: "rebond", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 42.45
+ l 0.089
µs

Reads = 4 + (0 * l)
Writes = 3 + (0 * l)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
l mean µs sigma µs %
1 42.47 0.084 0.1%
2 42.46 0.114 0.2%
3 42.4 0.097 0.2%
4 42.48 0.04 0.0%
5 42.76 0.092 0.2%
6 42.81 0.055 0.1%
7 42.93 0.115 0.2%
8 42.93 0.117 0.2%
9 43.53 0.153 0.3%
10 43.36 0.062 0.1%
11 43.48 0.17 0.3%
12 43.78 0.119 0.2%
13 43.8 0.048 0.1%
14 43.78 0.111 0.2%
15 43.92 0.091 0.2%
16 43.85 0.12 0.2%
17 44.45 0.086 0.1%
18 44.62 0.078 0.1%
19 44.48 0.092 0.2%
20 44.42 0.181 0.4%
21 44.55 0.097 0.2%
22 44.56 0.075 0.1%
23 44.54 0.096 0.2%
24 44.87 0.126 0.2%
25 44.78 0.108 0.2%
26 44.52 0.078 0.1%
27 44.69 0.084 0.1%
28 44.77 0.147 0.3%
29 44.92 0.12 0.2%
30 44.87 0.067 0.1%
31 44.81 0.161 0.3%
32 44.9 0.084 0.1%

Quality and confidence:
param error
l 0.001

Model:
Time ~= 42.46
+ l 0.089
µs

Reads = 4 + (0 * l)
Writes = 3 + (0 * l)
Pallet: "pallet_staking", Extrinsic: "set_history_depth", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 0
+ e 34.54
µs

Reads = 2 + (0 * e)
Writes = 4 + (7 * e)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
e mean µs sigma µs %
1 42.76 0.136 0.3%
2 69.99 0.204 0.2%
3 95.83 0.226 0.2%
4 124.4 0.208 0.1%
5 149.7 0.199 0.1%
6 174.3 0.127 0.0%
7 202.7 0.594 0.2%
8 227.1 0.632 0.2%
9 253.2 0.739 0.2%
10 281.5 0.313 0.1%
11 310.2 0.443 0.1%
12 339.9 0.949 0.2%
13 367 0.667 0.1%
14 398.1 0.998 0.2%
15 423.1 1.247 0.2%
16 451.4 1.084 0.2%
17 485 1.154 0.2%
18 513.2 1.51 0.2%
19 541.1 0.442 0.0%
20 567.4 0.55 0.0%
21 599.3 1.404 0.2%
22 627.3 0.893 0.1%
23 662.5 3.611 0.5%
24 689.3 1.165 0.1%
25 719.7 1.22 0.1%
26 751.7 2.053 0.2%
27 787.3 2.707 0.3%
28 820.2 2.065 0.2%
29 846.4 3.328 0.3%
30 877 2.871 0.3%
31 913.9 8.564 0.9%
32 938.1 2.673 0.2%
33 967.7 2.625 0.2%
34 1000 2.256 0.2%
35 1040 2.576 0.2%
36 1078 9.406 0.8%
37 1099 2.896 0.2%
38 1123 3.584 0.3%
39 1152 1.69 0.1%
40 1188 6.476 0.5%
41 1229 2.706 0.2%
42 1254 4.69 0.3%
43 1288 7.121 0.5%
44 1334 11.5 0.8%
45 1353 2.985 0.2%
46 1386 7.252 0.5%
47 1450 11.5 0.7%
48 1460 3.149 0.2%
49 1502 9.896 0.6%
50 1522 4.981 0.3%
51 1560 4.199 0.2%
52 1596 2.84 0.1%
53 1631 9.922 0.6%
54 1677 2.517 0.1%
55 1708 8.102 0.4%
56 1749 11.16 0.6%
57 1794 11.8 0.6%
58 1814 13.6 0.7%
59 1849 8.848 0.4%
60 1899 13.97 0.7%
61 1911 13.29 0.6%
62 1945 3.649 0.1%
63 1993 12.47 0.6%
64 2049 11.01 0.5%
65 2075 12.21 0.5%
66 2111 11.18 0.5%
67 2148 10.65 0.4%
68 2189 11.67 0.5%
69 2227 11.04 0.4%
70 2263 7.409 0.3%
71 2265 9.051 0.3%
72 2337 9.264 0.3%
73 2376 12.91 0.5%
74 2404 10.16 0.4%
75 2466 13.93 0.5%
76 2489 13.87 0.5%
77 2520 10.05 0.3%
78 2573 8.728 0.3%
79 2613 11.06 0.4%
80 2644 8.855 0.3%
81 2694 10.37 0.3%
82 2708 8.196 0.3%
83 2772 5.957 0.2%
84 2815 7.674 0.2%
85 2864 13.1 0.4%
86 2907 7.981 0.2%
87 2925 9.585 0.3%
88 2956 7.999 0.2%
89 2990 4.802 0.1%
90 3042 4.811 0.1%
91 3109 13.9 0.4%
92 3140 5.5 0.1%
93 3174 4.97 0.1%
94 3249 20.79 0.6%
95 3338 5.729 0.1%
96 3329 6.234 0.1%
97 3389 13.78 0.4%
98 3377 12.31 0.3%
99 3445 10.73 0.3%
100 3492 9.343 0.2%

Quality and confidence:
param error
e 0.074

Model:
Time ~= 0
+ e 34.79
µs

Reads = 2 + (0 * e)
Writes = 4 + (7 * e)
Pallet: "pallet_staking", Extrinsic: "reap_stash", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 68.85
+ s 2.814
µs

Reads = 4 + (0 * s)
Writes = 8 + (1 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 70.07 0.221 0.3%
2 73.25 0.176 0.2%
3 76.09 0.107 0.1%
4 81.55 0.113 0.1%
5 82.68 0.132 0.1%
6 85.4 0.126 0.1%
7 88.25 0.158 0.1%
8 91.01 0.121 0.1%
9 93.75 0.105 0.1%
10 96.36 0.14 0.1%
11 98.98 0.237 0.2%
12 102.5 0.214 0.2%
13 105.9 0.358 0.3%
14 108.3 0.183 0.1%
15 110.9 0.109 0.0%
16 113.7 0.216 0.1%
17 116.4 0.174 0.1%
18 119.1 0.144 0.1%
19 121.9 0.178 0.1%
20 124.7 0.242 0.1%
21 128.1 0.339 0.2%
22 130.5 0.198 0.1%
23 133.2 0.073 0.0%
24 136.9 0.17 0.1%
25 139.8 0.315 0.2%
26 142.4 0.26 0.1%
27 145.4 0.265 0.1%
28 147.9 0.147 0.0%
29 150.9 0.202 0.1%
30 154.1 0.279 0.1%
31 156.7 0.223 0.1%
32 159.3 0.224 0.1%
33 162 0.418 0.2%
34 164.7 0.211 0.1%
35 167.8 0.267 0.1%
36 170.2 0.168 0.0%
37 173.2 0.293 0.1%
38 176 0.179 0.1%
39 179.1 0.247 0.1%
40 181.7 0.301 0.1%
41 184.9 0.167 0.0%
42 187.7 0.289 0.1%
43 190.3 0.358 0.1%
44 193.6 0.231 0.1%
45 196.3 0.468 0.2%
46 199.1 0.366 0.1%
47 201.8 0.325 0.1%
48 205.2 0.289 0.1%
49 206.8 0.286 0.1%
50 209 0.345 0.1%
51 211.9 0.369 0.1%
52 214.9 0.37 0.1%
53 217.9 0.36 0.1%
54 220.8 0.277 0.1%
55 224.4 0.635 0.2%
56 226.4 0.299 0.1%
57 229 0.329 0.1%
58 232.4 0.462 0.1%
59 235.1 0.259 0.1%
60 237.3 0.654 0.2%
61 241.3 0.46 0.1%
62 243.6 0.493 0.2%
63 246.6 0.529 0.2%
64 248.4 0.43 0.1%
65 251.8 0.639 0.2%
66 254.2 0.354 0.1%
67 257 0.346 0.1%
68 260.2 0.555 0.2%
69 263.2 0.439 0.1%
70 265.3 0.323 0.1%
71 268.8 0.481 0.1%
72 271.1 0.707 0.2%
73 274.2 0.546 0.1%
74 277.7 0.408 0.1%
75 280.7 0.728 0.2%
76 282.3 0.625 0.2%
77 285.9 1.456 0.5%
78 288.4 0.473 0.1%
79 291 0.36 0.1%
80 294 0.789 0.2%
81 295.5 0.741 0.2%
82 298.8 0.841 0.2%
83 301.3 0.604 0.2%
84 303.9 0.431 0.1%
85 308 0.572 0.1%
86 309.6 0.696 0.2%
87 312.9 0.596 0.1%
88 315.6 0.483 0.1%
89 319 1.118 0.3%
90 320.6 0.432 0.1%
91 323.9 0.758 0.2%
92 328.4 1.088 0.3%
93 332.6 1.081 0.3%
94 335 1.202 0.3%
95 335.8 1.28 0.3%
96 338.5 0.533 0.1%
97 341.6 0.283 0.0%
98 345.2 0.726 0.2%
99 347.9 0.817 0.2%
100 351.1 0.79 0.2%

Quality and confidence:
param error
s 0

Model:
Time ~= 68.87
+ s 2.815
µs

Reads = 4 + (0 * s)
Writes = 8 + (1 * s)
Pallet: "pallet_staking", Extrinsic: "new_era", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 0
+ v 576.2
+ n 84.59
µs

Reads = 9 + (4 * v) + (3 * n)
Writes = 13 + (3 * v) + (0 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v n mean µs sigma µs %
1 100 3810 8.684 0.2%
2 100 4430 7.129 0.1%
3 100 4907 11.14 0.2%
4 100 5419 9.94 0.1%
5 100 6026 13.1 0.2%
6 100 6536 8.322 0.1%
7 100 7142 14.5 0.2%
8 100 7686 14.06 0.1%
9 100 8448 7.691 0.0%
10 1 691.8 1.083 0.1%
10 2 789.3 3.913 0.4%
10 3 874.2 1.766 0.2%
10 4 962 4.572 0.4%
10 5 1038 1.536 0.1%
10 6 1115 1.305 0.1%
10 7 1212 1.804 0.1%
10 8 1301 2.011 0.1%
10 9 1389 11.48 0.8%
10 10 1468 0.874 0.0%
10 11 1564 12.37 0.7%
10 12 1628 8.671 0.5%
10 13 1734 14.57 0.8%
10 14 1817 6.283 0.3%
10 15 1892 11.34 0.5%
10 16 1979 8.122 0.4%
10 17 2065 14.44 0.6%
10 18 2141 10.72 0.5%
10 19 2230 11.61 0.5%
10 20 2298 2.933 0.1%
10 21 2397 15.05 0.6%
10 22 2476 5.394 0.2%
10 23 2565 10.3 0.4%
10 24 2656 14.44 0.5%
10 25 2736 16.5 0.6%
10 26 2846 15.18 0.5%
10 27 2916 12.08 0.4%
10 28 3009 8.131 0.2%
10 29 3105 11.24 0.3%
10 30 3167 9.503 0.2%
10 31 3265 8.364 0.2%
10 32 3345 12.78 0.3%
10 33 3452 9.266 0.2%
10 34 3536 9.541 0.2%
10 35 3620 3.562 0.0%
10 36 3696 10.5 0.2%
10 37 3765 14.25 0.3%
10 38 3840 11.81 0.3%
10 39 3933 14.55 0.3%
10 40 4026 14.03 0.3%
10 41 4107 10.31 0.2%
10 42 4192 8.91 0.2%
10 43 4258 7.982 0.1%
10 44 4329 13.91 0.3%
10 45 4443 10.46 0.2%
10 46 4498 10.26 0.2%
10 47 4600 6.594 0.1%
10 48 4691 10.25 0.2%
10 49 4740 9.398 0.1%
10 50 4810 12.14 0.2%
10 51 4932 13.89 0.2%
10 52 5021 12.26 0.2%
10 53 5124 5.806 0.1%
10 54 5202 7.861 0.1%
10 55 5306 6.506 0.1%
10 56 5381 10.43 0.1%
10 57 5471 11.81 0.2%
10 58 5566 8.711 0.1%
10 59 5649 7.324 0.1%
10 60 5756 15.06 0.2%
10 61 5901 16.48 0.2%
10 62 5930 18.05 0.3%
10 63 5973 6.418 0.1%
10 64 6087 8.995 0.1%
10 65 6163 9.673 0.1%
10 66 6256 6.623 0.1%
10 67 6352 10.4 0.1%
10 68 6415 10.37 0.1%
10 69 6473 10.7 0.1%
10 70 6565 16.79 0.2%
10 71 6644 7.653 0.1%
10 72 6759 8.582 0.1%
10 73 6840 10.65 0.1%
10 74 6901 5.053 0.0%
10 75 7027 14.42 0.2%
10 76 7081 11.45 0.1%
10 77 7139 10.58 0.1%
10 78 7264 16.39 0.2%
10 79 7326 13.37 0.1%
10 80 7569 9.691 0.1%
10 81 7519 7.115 0.0%
10 82 7570 13.29 0.1%
10 83 7638 10.1 0.1%
10 84 7740 13.7 0.1%
10 85 7834 16.54 0.2%
10 86 7881 8.739 0.1%
10 87 7990 17.82 0.2%
10 88 8078 13.99 0.1%
10 89 8124 11.39 0.1%
10 90 8206 12.76 0.1%
10 91 8297 9.898 0.1%
10 92 8412 14.15 0.1%
10 93 8470 13.04 0.1%
10 94 8571 11.87 0.1%
10 95 8640 14.4 0.1%
10 96 8674 11.05 0.1%
10 97 8792 16.84 0.1%
10 98 8843 20.41 0.2%
10 99 8945 7.656 0.0%
10 100 9021 16.45 0.1%

Quality and confidence:
param error
v 1.007
n 0.05

Model:
Time ~= 0
+ v 597.4
+ n 84.33
µs

Reads = 9 + (4 * v) + (3 * n)
Writes = 13 + (3 * v) + (0 * n)
Pallet: "pallet_staking", Extrinsic: "submit_solution_better", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 0
+ v 1.052
+ n 0.598
+ a 76.66
+ w 7.673
µs

Reads = 6 + (0 * v) + (0 * n) + (4 * a) + (1 * w)
Writes = 2 + (0 * v) + (0 * n) + (0 * a) + (0 * w)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v n a w mean µs sigma µs %
200 1000 400 100 31700 57.31 0.1%
204 1000 400 100 31780 36.06 0.1%
208 1000 400 100 31850 41.95 0.1%
212 1000 400 100 31760 51.66 0.1%
216 1000 400 100 31930 28.04 0.0%
220 1000 400 100 32000 47.51 0.1%
224 1000 400 100 31970 28.25 0.0%
228 1000 400 100 32010 36.48 0.1%
232 1000 400 100 31930 53.49 0.1%
236 1000 400 100 31910 48.93 0.1%
240 1000 400 100 31850 42.96 0.1%
244 1000 400 100 31790 39.43 0.1%
248 1000 400 100 31870 23.42 0.0%
252 1000 400 100 31970 90.15 0.2%
256 1000 400 100 31870 23.94 0.0%
260 1000 400 100 31800 47.72 0.1%
264 1000 400 100 32000 39.24 0.1%
268 1000 400 100 32030 31.98 0.0%
272 1000 400 100 32120 58.95 0.1%
276 1000 400 100 31900 33.78 0.1%
280 1000 400 100 31910 34.79 0.1%
284 1000 400 100 32000 37.3 0.1%
288 1000 400 100 31960 53.72 0.1%
292 1000 400 100 32100 64.19 0.1%
296 1000 400 100 32100 37.4 0.1%
300 1000 400 100 31880 23.45 0.0%
304 1000 400 100 31960 51.15 0.1%
308 1000 400 100 31960 35.07 0.1%
312 1000 400 100 32040 38.24 0.1%
316 1000 400 100 32120 41.01 0.1%
320 1000 400 100 32060 57.01 0.1%
324 1000 400 100 31850 22 0.0%
328 1000 400 100 32130 36.08 0.1%
332 1000 400 100 32100 41.83 0.1%
336 1000 400 100 32000 33.36 0.1%
340 1000 400 100 32020 52.51 0.1%
344 1000 400 100 32010 66.22 0.2%
348 1000 400 100 32100 57.39 0.1%
352 1000 400 100 32170 35.16 0.1%
356 1000 400 100 32000 50.19 0.1%
360 1000 400 100 32130 46.1 0.1%
364 1000 400 100 32160 70.75 0.2%
368 1000 400 100 32220 53.09 0.1%
372 1000 400 100 32020 43.02 0.1%
376 1000 400 100 32070 50.96 0.1%
380 1000 400 100 32200 85.41 0.2%
384 1000 400 100 32090 27.31 0.0%
388 1000 400 100 32070 41.56 0.1%
392 1000 400 100 31870 54.34 0.1%
396 1000 400 100 32130 44.9 0.1%
400 500 400 100 31790 39.75 0.1%
400 510 400 100 31750 36.29 0.1%
400 520 400 100 31930 36.17 0.1%
400 530 400 100 31740 51.31 0.1%
400 540 400 100 31750 46.55 0.1%
400 550 400 100 31860 46.33 0.1%
400 560 400 100 31920 35.26 0.1%
400 570 400 100 31730 35.33 0.1%
400 580 400 100 31760 34.12 0.1%
400 590 400 100 31820 26.22 0.0%
400 600 400 100 31810 40.77 0.1%
400 610 400 100 31720 53.27 0.1%
400 620 400 100 31900 31.91 0.1%
400 630 400 100 31870 34.51 0.1%
400 640 400 100 31860 29.16 0.0%
400 650 400 100 31940 66.23 0.2%
400 660 400 100 31950 35.69 0.1%
400 670 400 100 31830 65.2 0.2%
400 680 400 100 32010 54.29 0.1%
400 690 400 100 31880 35.55 0.1%
400 700 400 100 31960 44.76 0.1%
400 710 400 100 32030 38.13 0.1%
400 720 400 100 32190 63.59 0.1%
400 730 400 100 31770 33.08 0.1%
400 740 400 100 32080 37.87 0.1%
400 750 400 100 31930 56.99 0.1%
400 760 400 100 32030 51.5 0.1%
400 770 400 100 32110 40.05 0.1%
400 780 400 100 31880 47.36 0.1%
400 790 400 100 32040 37.24 0.1%
400 800 400 100 31970 44.24 0.1%
400 810 400 100 32140 68.27 0.2%
400 820 400 100 31980 52.53 0.1%
400 830 400 100 31950 56.67 0.1%
400 840 400 100 32210 50.89 0.1%
400 850 400 100 32120 71.75 0.2%
400 860 400 100 32110 93.9 0.2%
400 870 400 100 32210 60.72 0.1%
400 880 400 100 32160 53.68 0.1%
400 890 400 100 32120 24.76 0.0%
400 900 400 100 32170 25.4 0.0%
400 910 400 100 32160 36.38 0.1%
400 920 400 100 31950 41.5 0.1%
400 930 400 100 31970 40.57 0.1%
400 940 400 100 32010 69.6 0.2%
400 950 400 100 32180 41.43 0.1%
400 960 400 100 32130 45.27 0.1%
400 970 400 100 31970 77.98 0.2%
400 980 400 100 32160 31.07 0.0%
400 990 400 100 32080 58.98 0.1%
400 1000 200 100 16430 17.48 0.1%
400 1000 204 100 16790 23.6 0.1%
400 1000 208 100 17050 22.53 0.1%
400 1000 212 100 17500 20.18 0.1%
400 1000 216 100 17810 20.94 0.1%
400 1000 220 100 18090 14.31 0.0%
400 1000 224 100 18410 36.61 0.1%
400 1000 228 100 18720 40.08 0.2%
400 1000 232 100 19020 57.48 0.3%
400 1000 236 100 19380 27.02 0.1%
400 1000 240 100 19670 30.15 0.1%
400 1000 244 100 19980 39.98 0.2%
400 1000 248 100 20250 28.15 0.1%
400 1000 252 100 20610 44.02 0.2%
400 1000 256 100 20920 40.71 0.1%
400 1000 260 100 21180 26.03 0.1%
400 1000 264 100 21510 34.01 0.1%
400 1000 268 100 21880 31.25 0.1%
400 1000 272 100 22130 23.52 0.1%
400 1000 276 100 22440 58.89 0.2%
400 1000 280 100 22750 24.07 0.1%
400 1000 284 100 23030 46.37 0.2%
400 1000 288 100 23340 43.43 0.1%
400 1000 292 100 23650 53.3 0.2%
400 1000 296 100 23920 30.83 0.1%
400 1000 300 100 24270 41.88 0.1%
400 1000 304 100 24570 28.36 0.1%
400 1000 308 100 24840 73.11 0.2%
400 1000 312 100 25120 48.03 0.1%
400 1000 316 100 25430 42.09 0.1%
400 1000 320 100 25760 26.89 0.1%
400 1000 324 100 26010 36.95 0.1%
400 1000 328 100 26350 37.08 0.1%
400 1000 332 100 26640 31.97 0.1%
400 1000 336 100 27000 54.43 0.2%
400 1000 340 100 27240 48.56 0.1%
400 1000 344 100 27600 51.1 0.1%
400 1000 348 100 27850 60.46 0.2%
400 1000 352 100 28130 32.94 0.1%
400 1000 356 100 28480 44.1 0.1%
400 1000 360 100 28840 42.13 0.1%
400 1000 364 100 29120 56.97 0.1%
400 1000 368 100 29430 51.59 0.1%
400 1000 372 100 29710 50.59 0.1%
400 1000 376 100 30030 60.93 0.2%
400 1000 380 100 30320 47.03 0.1%
400 1000 384 100 30650 69.2 0.2%
400 1000 388 100 30990 55.18 0.1%
400 1000 392 100 31310 41.19 0.1%
400 1000 396 100 31610 40.37 0.1%
400 1000 400 16 31310 76.96 0.2%
400 1000 400 17 31470 41.42 0.1%
400 1000 400 18 31410 42.55 0.1%
400 1000 400 19 31520 60.78 0.1%
400 1000 400 20 31390 70.51 0.2%
400 1000 400 21 31510 74.1 0.2%
400 1000 400 22 31740 55.42 0.1%
400 1000 400 23 31720 49.51 0.1%
400 1000 400 24 31500 35.68 0.1%
400 1000 400 25 31500 67.51 0.2%
400 1000 400 26 31400 66.13 0.2%
400 1000 400 27 31480 52.05 0.1%
400 1000 400 28 31520 32.7 0.1%
400 1000 400 29 31440 54.77 0.1%
400 1000 400 30 31510 45.73 0.1%
400 1000 400 31 31500 36.42 0.1%
400 1000 400 32 31490 64.89 0.2%
400 1000 400 33 31570 42.48 0.1%
400 1000 400 34 31540 35.07 0.1%
400 1000 400 35 31470 65.3 0.2%
400 1000 400 36 31590 42.47 0.1%
400 1000 400 37 31760 59.67 0.1%
400 1000 400 38 31580 24.08 0.0%
400 1000 400 39 31730 69.99 0.2%
400 1000 400 40 31540 33.21 0.1%
400 1000 400 41 31630 58.67 0.1%
400 1000 400 42 31680 55.82 0.1%
400 1000 400 43 31670 65.23 0.2%
400 1000 400 44 31600 56.9 0.1%
400 1000 400 45 31650 52.72 0.1%
400 1000 400 46 31770 77.95 0.2%
400 1000 400 47 31900 39.8 0.1%
400 1000 400 48 31770 52.12 0.1%
400 1000 400 49 31720 56.46 0.1%
400 1000 400 50 31680 49.66 0.1%
400 1000 400 51 31780 46.06 0.1%
400 1000 400 52 31750 51.56 0.1%
400 1000 400 53 31680 60.6 0.1%
400 1000 400 54 31730 54.82 0.1%
400 1000 400 55 31690 47.1 0.1%
400 1000 400 56 31680 62.93 0.1%
400 1000 400 57 31670 35.67 0.1%
400 1000 400 58 31760 50.22 0.1%
400 1000 400 59 31740 51.81 0.1%
400 1000 400 60 31610 28.82 0.0%
400 1000 400 61 31680 69.4 0.2%
400 1000 400 62 31750 35.9 0.1%
400 1000 400 63 31800 26.18 0.0%
400 1000 400 64 31790 57.93 0.1%
400 1000 400 65 31870 79.86 0.2%
400 1000 400 66 31840 48.57 0.1%
400 1000 400 67 31930 77.17 0.2%
400 1000 400 68 31800 58.84 0.1%
400 1000 400 69 31770 45.21 0.1%
400 1000 400 70 31880 45.44 0.1%
400 1000 400 71 32030 52.23 0.1%
400 1000 400 72 31980 42.94 0.1%
400 1000 400 73 31950 49.24 0.1%
400 1000 400 74 31900 45.57 0.1%
400 1000 400 75 32030 48.08 0.1%
400 1000 400 76 31870 53.31 0.1%
400 1000 400 77 31910 50.05 0.1%
400 1000 400 78 31920 37.58 0.1%
400 1000 400 79 32070 41.18 0.1%
400 1000 400 80 32020 43.08 0.1%
400 1000 400 81 32080 56.24 0.1%
400 1000 400 82 31900 67.84 0.2%
400 1000 400 83 31960 49.96 0.1%
400 1000 400 84 31970 45.03 0.1%
400 1000 400 85 32170 78.14 0.2%
400 1000 400 86 32160 58.08 0.1%
400 1000 400 87 32040 82.42 0.2%
400 1000 400 88 31900 53.65 0.1%
400 1000 400 89 32150 71.39 0.2%
400 1000 400 90 32030 48.62 0.1%
400 1000 400 91 31960 27.93 0.0%
400 1000 400 92 32020 44.99 0.1%
400 1000 400 93 32110 38.73 0.1%
400 1000 400 94 32190 59.1 0.1%
400 1000 400 95 32040 65.41 0.2%
400 1000 400 96 32160 53.92 0.1%
400 1000 400 97 31860 58.81 0.1%
400 1000 400 98 31990 50.5 0.1%
400 1000 400 99 32040 66.22 0.2%
400 1000 400 100 31950 42.25 0.1%

Quality and confidence:
param error
v 0.053
n 0.021
a 0.053
w 0.111

Model:
Time ~= 0
+ v 0.962
+ n 0.485
+ a 77.96
+ w 7.348
µs

Reads = 6 + (0 * v) + (0 * n) + (4 * a) + (1 * w)
Writes = 2 + (0 * v) + (0 * n) + (0 * a) + (0 * w)

[kianenigma]

/benchmark runtime pallet pallet_staking

[parity-benchapp]

Finished benchmark for branch: kiz-election-provider-2-two-phase-unsigned

Benchmark: Benchmark Runtime Pallet

cargo run --release --features=runtime-benchmarks --manifest-path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_staking --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/staking/src/weights.rs --template=./.maintain/frame-weight-template.hbs

Results

Pallet: "pallet_staking", Extrinsic: "bond", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 81.64
µs

Reads = 5
Writes = 4
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 81.64
µs

Reads = 5
Writes = 4
Pallet: "pallet_staking", Extrinsic: "bond_extra", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 66.02
µs

Reads = 4
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 66.02
µs

Reads = 4
Writes = 2
Pallet: "pallet_staking", Extrinsic: "unbond", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 60.81
µs

Reads = 5
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 60.81
µs

Reads = 5
Writes = 3
Pallet: "pallet_staking", Extrinsic: "withdraw_unbonded_update", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 61.52
+ s 0.065
µs

Reads = 5 + (0 * s)
Writes = 3 + (0 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 60.36 0.134 0.2%
2 60.87 0.131 0.2%
4 61.3 0.05 0.0%
6 61.39 0.137 0.2%
8 61.37 0.12 0.1%
10 61.77 0.094 0.1%
12 62.54 0.218 0.3%
14 62.44 0.151 0.2%
16 62.56 0.144 0.2%
18 62.87 0.208 0.3%
20 62.75 0.146 0.2%
22 62.83 0.219 0.3%
24 63.26 0.067 0.1%
26 63.5 0.109 0.1%
28 62.96 0.334 0.5%
30 63.21 0.184 0.2%
32 63.74 0.103 0.1%
34 64.51 0.142 0.2%
36 63.94 0.113 0.1%
38 64.42 0.168 0.2%
40 64.63 0.126 0.1%
42 64.64 0.267 0.4%
44 65.15 0.164 0.2%
46 64.78 0.142 0.2%
48 65.42 0.113 0.1%
50 65.22 0.225 0.3%
52 64.65 0.399 0.6%
54 65.19 0.337 0.5%
56 63.45 0.296 0.4%
58 65.13 0.57 0.8%
60 65.36 0.165 0.2%
62 65.92 0.178 0.2%
64 66.31 0.202 0.3%
66 66.19 0.159 0.2%
68 66.41 0.214 0.3%
70 67.1 0.221 0.3%
72 64.18 0.261 0.4%
74 64.05 0.323 0.5%
76 64.48 0.203 0.3%
78 64.85 0.171 0.2%
80 66.86 0.739 1.1%
82 67.02 0.674 1.0%
84 66.62 0.586 0.8%
86 66.62 0.922 1.3%
88 66.36 1.005 1.5%
90 65.07 0.439 0.6%
92 65.2 0.372 0.5%
94 67.83 0.187 0.2%
96 67.96 0.192 0.2%
98 68.33 0.162 0.2%
100 68.4 0.348 0.5%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 61.53
+ s 0.06
µs

Reads = 5 + (0 * s)
Writes = 3 + (0 * s)
Pallet: "pallet_staking", Extrinsic: "withdraw_unbonded_kill", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 95.92
+ s 2.756
µs

Reads = 7 + (0 * s)
Writes = 8 + (1 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 90.53 0.183 0.2%
2 100.6 0.181 0.1%
4 106.2 0.166 0.1%
6 111.3 0.197 0.1%
8 117.6 0.242 0.2%
10 123.7 0.202 0.1%
12 128.8 0.292 0.2%
14 133.9 0.27 0.2%
16 139.6 0.317 0.2%
18 145 0.33 0.2%
20 150.3 0.126 0.0%
22 156.8 0.151 0.0%
24 163 0.185 0.1%
26 168.1 0.277 0.1%
28 173.6 0.247 0.1%
30 179.2 0.247 0.1%
32 184.7 0.332 0.1%
34 189.5 0.238 0.1%
36 195.3 0.203 0.1%
38 200.2 0.325 0.1%
40 207 0.312 0.1%
42 212.2 0.287 0.1%
44 217.8 0.219 0.1%
46 223.3 0.267 0.1%
48 229.2 0.301 0.1%
50 233.4 0.249 0.1%
52 239 0.327 0.1%
54 244.4 0.223 0.0%
56 250.4 0.232 0.0%
58 256 0.326 0.1%
60 261.3 0.373 0.1%
62 267.1 0.4 0.1%
64 272.8 0.237 0.0%
66 278.1 0.236 0.0%
68 283.1 0.408 0.1%
70 288.9 0.363 0.1%
72 294 0.375 0.1%
74 299.5 0.421 0.1%
76 305.6 0.441 0.1%
78 310.6 0.27 0.0%
80 313.3 0.833 0.2%
82 321.5 0.538 0.1%
84 326 0.982 0.3%
86 330.5 0.788 0.2%
88 337.8 0.502 0.1%
90 342.2 0.432 0.1%
92 350.8 0.608 0.1%
94 353.5 1.265 0.3%
96 356.7 0.335 0.0%
98 366.6 0.313 0.0%
100 371.7 0.395 0.1%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 95.74
+ s 2.754
µs

Reads = 7 + (0 * s)
Writes = 8 + (1 * s)
Pallet: "pallet_staking", Extrinsic: "validate", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 21
µs

Reads = 2
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 21
µs

Reads = 2
Writes = 2
Pallet: "pallet_staking", Extrinsic: "kick", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 30.54
+ k 19.41
µs

Reads = 2 + (1 * k)
Writes = 0 + (1 * k)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
k mean µs sigma µs %
1 52.74 0.096 0.1%
3 91.94 1.817 1.9%
5 122.8 0.524 0.4%
7 162.5 1.01 0.6%
9 197.4 0.875 0.4%
11 239 0.987 0.4%
13 279.6 1.202 0.4%
15 317.5 2.044 0.6%
17 358.4 1.162 0.3%
19 402.6 4.441 1.1%
21 444.7 3.501 0.7%
23 474.9 2.345 0.4%
25 517 1.415 0.2%
27 552.2 1.434 0.2%
29 591.8 5.386 0.9%
31 628.7 3.583 0.5%
33 684 4.655 0.6%
35 724.4 2.412 0.3%
37 763.9 2.977 0.3%
39 800.8 6.572 0.8%
41 840.1 5.186 0.6%
43 848.6 4.658 0.5%
45 915.9 7.728 0.8%
47 934.3 3.64 0.3%
49 980.5 3.858 0.3%
51 1015 4.957 0.4%
53 1068 9.341 0.8%
55 1094 3.556 0.3%
57 1151 2.938 0.2%
59 1169 5.923 0.5%
61 1224 11.49 0.9%
63 1270 11.54 0.9%
65 1296 3.486 0.2%
67 1355 13.81 1.0%
69 1377 10.33 0.7%
71 1414 14.15 1.0%
73 1436 15.45 1.0%
75 1489 7.944 0.5%
77 1531 9.514 0.6%
79 1557 7.241 0.4%
81 1606 11.24 0.6%
83 1646 7.773 0.4%
85 1686 7.2 0.4%
87 1722 11.24 0.6%
89 1747 8.668 0.4%
91 1812 14.8 0.8%
93 1851 12.32 0.6%
95 1850 8.633 0.4%
97 1899 15 0.7%
99 1925 16.97 0.8%
101 1961 11.77 0.6%
103 2026 11.27 0.5%
105 2091 18.01 0.8%
107 2113 14.08 0.6%
109 2140 7.556 0.3%
111 2193 10.75 0.4%
113 2217 9.131 0.4%
115 2286 9.56 0.4%
117 2295 8.812 0.3%
119 2345 13.36 0.5%
121 2396 10.09 0.4%
123 2412 2.872 0.1%
125 2471 12.6 0.5%
127 2493 10.61 0.4%

Quality and confidence:
param error
k 0.015

Model:
Time ~= 31.83
+ k 19.41
µs

Reads = 2 + (1 * k)
Writes = 0 + (1 * k)
Pallet: "pallet_staking", Extrinsic: "nominate", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 34.25
+ n 5.652
µs

Reads = 4 + (1 * n)
Writes = 2 + (0 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 37.57 0.149 0.3%
2 44.76 0.073 0.1%
3 51.08 0.16 0.3%
4 58 0.102 0.1%
5 64.43 0.18 0.2%
6 69.87 0.113 0.1%
7 75.4 0.123 0.1%
8 77.43 0.223 0.2%
9 84.84 0.22 0.2%
10 90.86 0.181 0.1%
11 96.29 0.265 0.2%
12 102.1 0.184 0.1%
13 107.4 0.313 0.2%
14 113.7 0.15 0.1%
15 118.9 0.273 0.2%
16 123.5 0.463 0.3%

Quality and confidence:
param error
n 0.02

Model:
Time ~= 34.3
+ n 5.643
µs

Reads = 4 + (1 * n)
Writes = 2 + (0 * n)
Pallet: "pallet_staking", Extrinsic: "chill", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 20.1
µs

Reads = 2
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 20.1
µs

Reads = 2
Writes = 2
Pallet: "pallet_staking", Extrinsic: "set_payee", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 13.85
µs

Reads = 1
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 13.85
µs

Reads = 1
Writes = 1
Pallet: "pallet_staking", Extrinsic: "set_controller", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 30.26
µs

Reads = 3
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 30.26
µs

Reads = 3
Writes = 3
Pallet: "pallet_staking", Extrinsic: "set_validator_count", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 2.444
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.444
µs

Reads = 0
Writes = 1
Pallet: "pallet_staking", Extrinsic: "force_no_eras", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 2.766
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.766
µs

Reads = 0
Writes = 1
Pallet: "pallet_staking", Extrinsic: "force_new_era", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 2.724
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.724
µs

Reads = 0
Writes = 1
Pallet: "pallet_staking", Extrinsic: "force_new_era_always", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 2.702
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.702
µs

Reads = 0
Writes = 1
Pallet: "pallet_staking", Extrinsic: "set_invulnerables", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 2.922
+ v 0.034
µs

Reads = 0 + (0 * v)
Writes = 1 + (0 * v)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v mean µs sigma µs %
0 2.729 0.017 0.6%
20 3.592 0.018 0.5%
40 4.319 0.015 0.3%
60 5.055 0.042 0.8%
80 5.746 0.016 0.2%
100 6.419 0.017 0.2%
120 7.145 0.017 0.2%
140 7.819 0.014 0.1%
160 8.497 0.019 0.2%
180 9.231 0.021 0.2%
200 9.9 0.038 0.3%
220 10.65 0.026 0.2%
240 11.21 0.038 0.3%
260 11.92 0.041 0.3%
280 12.72 0.016 0.1%
300 13.33 0.04 0.2%
320 14.02 0.033 0.2%
340 14.8 0.041 0.2%
360 15.47 0.045 0.2%
380 16.17 0.024 0.1%
400 16.8 0.015 0.0%
420 17.43 0.026 0.1%
440 18.15 0.033 0.1%
460 18.93 0.02 0.1%
480 19.68 0.02 0.1%
500 20.42 0.016 0.0%
520 20.86 0.026 0.1%
540 21.52 0.02 0.0%
560 22.33 0.032 0.1%
580 23.23 0.044 0.1%
600 23.87 0.015 0.0%
620 24.54 0.027 0.1%
640 25.22 0.03 0.1%
660 25.89 0.03 0.1%
680 26.54 0.023 0.0%
700 27.25 0.027 0.0%
720 28.03 0.036 0.1%
740 28.72 0.036 0.1%
760 29.42 0.039 0.1%
780 30.15 0.02 0.0%
800 30.86 0.036 0.1%
820 31.46 0.013 0.0%
840 32.21 0.02 0.0%
860 32.86 0.031 0.0%
880 33.58 0.033 0.0%
900 34.25 0.031 0.0%
920 34.89 0.033 0.0%
940 35.65 0.055 0.1%
960 36.28 0.023 0.0%
980 36.98 0.044 0.1%
1000 37.69 0.045 0.1%

Quality and confidence:
param error
v 0

Model:
Time ~= 2.914
+ v 0.035
µs

Reads = 0 + (0 * v)
Writes = 1 + (0 * v)
Pallet: "pallet_staking", Extrinsic: "force_unstake", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 64.78
+ s 2.769
µs

Reads = 4 + (0 * s)
Writes = 8 + (1 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 59.53 0.069 0.1%
2 68.77 0.19 0.2%
4 75.5 0.127 0.1%
6 80.88 0.093 0.1%
8 86.51 0.129 0.1%
10 92.05 0.235 0.2%
12 98.17 0.123 0.1%
14 103.7 0.094 0.0%
16 109.1 0.166 0.1%
18 114.8 0.196 0.1%
20 120 0.153 0.1%
22 126.2 0.231 0.1%
24 132 0.176 0.1%
26 137.9 0.328 0.2%
28 142.8 0.375 0.2%
30 148.2 0.178 0.1%
32 153.7 0.268 0.1%
34 159.2 0.283 0.1%
36 164.5 0.359 0.2%
38 170.1 0.22 0.1%
40 175.9 0.206 0.1%
42 181.8 0.207 0.1%
44 187.4 0.196 0.1%
46 192.7 0.158 0.0%
48 198.9 0.417 0.2%
50 202.5 0.145 0.0%
52 208.4 0.149 0.0%
54 214.1 0.272 0.1%
56 220.1 0.239 0.1%
58 225.4 0.318 0.1%
60 230.1 0.392 0.1%
62 236.6 0.1 0.0%
64 241.4 0.11 0.0%
66 247.5 0.247 0.0%
68 253.2 0.372 0.1%
70 258.1 0.139 0.0%
72 262.9 0.259 0.0%
74 270 0.324 0.1%
76 274.1 0.164 0.0%
78 279.8 0.356 0.1%
80 285.4 0.404 0.1%
82 290.6 0.337 0.1%
84 295.8 0.176 0.0%
86 301.3 0.385 0.1%
88 307.4 0.498 0.1%
90 313 2.061 0.6%
92 326.9 0.312 0.0%
94 332.3 0.36 0.1%
96 334.9 2.679 0.7%
98 336.6 0.429 0.1%
100 341.6 0.164 0.0%

Quality and confidence:
param error
s 0.002

Model:
Time ~= 64.03
+ s 2.787
µs

Reads = 4 + (0 * s)
Writes = 8 + (1 * s)
Pallet: "pallet_staking", Extrinsic: "cancel_deferred_slash", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 6637
+ s 34.87
µs

Reads = 1 + (0 * s)
Writes = 1 + (0 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 422.5 0.066 0.0%
20 1722 11.18 0.6%
39 3000 11.13 0.3%
58 4245 5.768 0.1%
77 5471 11.67 0.2%
96 6675 11.46 0.1%
115 7834 13.08 0.1%
134 8999 12.21 0.1%
153 10100 17.34 0.1%
172 11210 14.46 0.1%
191 12280 17.09 0.1%
210 13330 13.45 0.1%
229 14350 15.89 0.1%
248 15330 17.47 0.1%
267 16300 12.33 0.0%
286 17270 17.89 0.1%
305 18180 19.68 0.1%
324 19070 22.76 0.1%
343 19950 21.22 0.1%
362 20810 27.91 0.1%
381 21680 35.81 0.1%
400 22410 6.911 0.0%
419 23200 24.12 0.1%
438 23940 21.87 0.0%
457 24680 22.47 0.0%
476 25370 23.31 0.0%
495 26120 42.87 0.1%
514 26700 24.24 0.0%
533 27300 20.67 0.0%
552 27930 16.07 0.0%
571 28460 14.38 0.0%
590 29020 17.3 0.0%
609 29560 31.65 0.1%
628 30510 190.9 0.6%
647 30540 26.66 0.0%
666 30980 27.11 0.0%
685 31380 23.72 0.0%
704 31800 19.83 0.0%
723 32160 15.95 0.0%
742 32520 21.27 0.0%
761 32880 15.73 0.0%
780 33180 21.51 0.0%
799 33440 29.16 0.0%
818 33670 18.89 0.0%
837 33910 16.91 0.0%
856 34340 301.5 0.8%
875 34290 40.09 0.1%
894 34460 31.48 0.0%
913 34570 25.54 0.0%
932 34660 29.46 0.0%
951 34710 28.58 0.0%
970 34800 32.1 0.0%
989 34810 31.68 0.0%

Quality and confidence:
param error
s 0.391

Model:
Time ~= 5903
+ s 34.83
µs

Reads = 1 + (0 * s)
Writes = 1 + (0 * s)
Pallet: "pallet_staking", Extrinsic: "payout_stakers_dead_controller", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 133.7
+ n 53.06
µs

Reads = 11 + (3 * n)
Writes = 2 + (1 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 172 0.608 0.3%
6 442.7 1.936 0.4%
11 708.1 2.738 0.3%
16 981.6 1.789 0.1%
21 1243 5.269 0.4%
26 1507 7.044 0.4%
31 1787 4.519 0.2%
36 2055 10.01 0.4%
41 2315 9.702 0.4%
46 2581 9.766 0.3%
51 2827 8.89 0.3%
56 3110 12.12 0.3%
61 3359 11.82 0.3%
66 3628 15.68 0.4%
71 3924 15.14 0.3%
76 4177 11.62 0.2%
81 4410 18.71 0.4%
86 4696 22.59 0.4%
91 4980 16.34 0.3%
96 5258 12.68 0.2%
101 5475 26.86 0.4%
106 5781 16.9 0.2%
111 6062 37.79 0.6%
116 6261 20.58 0.3%
121 6530 13.62 0.2%
126 6782 14.56 0.2%
131 7079 27.22 0.3%
136 7367 12.96 0.1%
141 7611 15.22 0.2%
146 7931 22.8 0.2%
151 8173 36.5 0.4%
156 8483 37.07 0.4%
161 8772 42.53 0.4%
166 8922 18.87 0.2%
171 9242 27.12 0.2%
176 9511 17.39 0.1%
181 9768 25.63 0.2%
186 9998 40.18 0.4%
191 10240 34.74 0.3%
196 10600 15.88 0.1%
201 10780 48.99 0.4%
206 11090 23.87 0.2%
211 11350 24.2 0.2%
216 11560 36.37 0.3%
221 11820 37.17 0.3%
226 12150 21.51 0.1%
231 12360 32.84 0.2%
236 12580 46.78 0.3%
241 12890 26.44 0.2%
246 13120 38.5 0.2%
251 13420 60.13 0.4%
256 13680 46.53 0.3%

Quality and confidence:
param error
n 0.024

Model:
Time ~= 141.7
+ n 53.01
µs

Reads = 11 + (3 * n)
Writes = 2 + (1 * n)
Pallet: "pallet_staking", Extrinsic: "payout_stakers_alive_staked", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 157.2
+ n 67.75
µs

Reads = 12 + (5 * n)
Writes = 3 + (3 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 216.7 0.705 0.3%
6 559.5 1.905 0.3%
11 898.5 1.678 0.1%
16 1239 4.591 0.3%
21 1586 5.191 0.3%
26 1921 4.991 0.2%
31 2263 13.88 0.6%
36 2597 6.16 0.2%
41 2927 11.49 0.3%
46 3287 15.04 0.4%
51 3640 11.96 0.3%
56 4003 22 0.5%
61 4276 10.69 0.2%
66 4622 16.67 0.3%
71 4978 18.25 0.3%
76 5298 15.86 0.2%
81 5592 11.87 0.2%
86 5984 11.69 0.1%
91 6356 15.93 0.2%
96 6672 13.86 0.2%
101 7047 10.81 0.1%
106 7305 17.68 0.2%
111 7655 16.35 0.2%
116 8059 16.05 0.1%
121 8368 20.11 0.2%
126 8678 20.47 0.2%
131 8978 24.67 0.2%
136 9356 15.74 0.1%
141 9669 32.61 0.3%
146 10050 28.64 0.2%
151 10320 19.88 0.1%
156 10700 24.85 0.2%
161 11110 94.72 0.8%
166 11360 25.71 0.2%
171 11680 28.88 0.2%
176 12130 24.94 0.2%
181 12530 19.1 0.1%
186 12780 34.34 0.2%
191 13140 29.09 0.2%
196 13500 56.92 0.4%
201 13750 29.39 0.2%
206 14200 25.39 0.1%
211 14470 20 0.1%
216 14780 48.87 0.3%
221 15060 35.5 0.2%
226 15500 29.42 0.1%
231 15800 36.6 0.2%
236 16130 27.83 0.1%
241 16540 30.83 0.1%
246 16730 27.41 0.1%
251 17080 57.29 0.3%
256 17500 18.48 0.1%

Quality and confidence:
param error
n 0.028

Model:
Time ~= 159.9
+ n 67.74
µs

Reads = 12 + (5 * n)
Writes = 3 + (3 * n)
Pallet: "pallet_staking", Extrinsic: "rebond", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 42.2
+ l 0.08
µs

Reads = 4 + (0 * l)
Writes = 3 + (0 * l)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
l mean µs sigma µs %
1 42.1 0.177 0.4%
2 41.87 0.087 0.2%
3 42.31 0.086 0.2%
4 42.11 0.151 0.3%
5 42.68 0.195 0.4%
6 42.67 0.12 0.2%
7 42.53 0.082 0.1%
8 42.48 0.09 0.2%
9 42.92 0.106 0.2%
10 43.4 0.095 0.2%
11 42.9 0.148 0.3%
12 43.36 0.133 0.3%
13 43.48 0.113 0.2%
14 43.45 0.141 0.3%
15 43.55 0.13 0.2%
16 43.56 0.127 0.2%
17 43.96 0.088 0.2%
18 44.32 0.087 0.1%
19 43.99 0.107 0.2%
20 43.94 0.09 0.2%
21 44.2 0.066 0.1%
22 44.12 0.121 0.2%
23 43.95 0.096 0.2%
24 44.29 0.104 0.2%
25 44.27 0.101 0.2%
26 44.08 0.162 0.3%
27 44.24 0.131 0.2%
28 44.49 0.129 0.2%
29 44.14 0.091 0.2%
30 44.31 0.102 0.2%
31 44.54 0.073 0.1%
32 44.4 0.137 0.3%

Quality and confidence:
param error
l 0.001

Model:
Time ~= 42.17
+ l 0.082
µs

Reads = 4 + (0 * l)
Writes = 3 + (0 * l)
Pallet: "pallet_staking", Extrinsic: "set_history_depth", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 0
+ e 34
µs

Reads = 2 + (0 * e)
Writes = 4 + (7 * e)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
e mean µs sigma µs %
1 41.8 0.077 0.1%
2 68.7 0.171 0.2%
3 93.76 0.164 0.1%
4 123.1 0.298 0.2%
5 148.2 0.319 0.2%
6 172.9 0.44 0.2%
7 201.2 0.361 0.1%
8 225.5 0.398 0.1%
9 251.9 0.342 0.1%
10 278.5 0.313 0.1%
11 306.8 0.524 0.1%
12 335.2 0.793 0.2%
13 361.9 0.88 0.2%
14 388.9 1.2 0.3%
15 414.6 0.729 0.1%
16 440.7 0.326 0.0%
17 472.3 0.476 0.1%
18 503.5 1.243 0.2%
19 535.4 1.748 0.3%
20 558.6 1.079 0.1%
21 592.6 2.657 0.4%
22 620.6 0.74 0.1%
23 651.9 0.791 0.1%
24 687.8 7.609 1.1%
25 715 0.782 0.1%
26 742.7 2.646 0.3%
27 774.9 1.378 0.1%
28 812.6 1.962 0.2%
29 834.2 1.525 0.1%
30 867.9 3.464 0.3%
31 900.5 1.089 0.1%
32 925 1.966 0.2%
33 974.3 6.496 0.6%
34 989.3 8.717 0.8%
35 1028 3.393 0.3%
36 1064 2.11 0.1%
37 1086 3.062 0.2%
38 1107 2.466 0.2%
39 1151 9.74 0.8%
40 1179 7.036 0.5%
41 1210 7.351 0.6%
42 1239 4.063 0.3%
43 1282 10.1 0.7%
44 1306 2.309 0.1%
45 1358 10.13 0.7%
46 1399 11.36 0.8%
47 1409 7.665 0.5%
48 1441 4.69 0.3%
49 1485 8.896 0.5%
50 1509 4.584 0.3%
51 1535 9.679 0.6%
52 1593 10.52 0.6%
53 1621 8.979 0.5%
54 1651 7.786 0.4%
55 1683 6.023 0.3%
56 1719 2.627 0.1%
57 1766 9.736 0.5%
58 1802 8.058 0.4%
59 1834 7.704 0.4%
60 1857 7.854 0.4%
61 1906 8.854 0.4%
62 1948 10.58 0.5%
63 1962 9.071 0.4%
64 1997 7.083 0.3%
65 2041 11.16 0.5%
66 2091 12.46 0.5%
67 2128 10.34 0.4%
68 2151 9.518 0.4%
69 2194 11.7 0.5%
70 2224 14.63 0.6%
71 2338 15.1 0.6%
72 2369 11.29 0.4%
73 2410 21.96 0.9%
74 2364 13.44 0.5%
75 2417 12.25 0.5%
76 2463 9.133 0.3%
77 2500 11.55 0.4%
78 2523 8.787 0.3%
79 2567 8.817 0.3%
80 2594 12.55 0.4%
81 2622 8.196 0.3%
82 2670 10.86 0.4%
83 2726 11.22 0.4%
84 2747 9.774 0.3%
85 2814 15.14 0.5%
86 2830 14.69 0.5%
87 2899 8.832 0.3%
88 2907 7.874 0.2%
89 2965 3.33 0.1%
90 3019 10.87 0.3%
91 3049 8.173 0.2%
92 3103 4.889 0.1%
93 3108 8.441 0.2%
94 3180 6.974 0.2%
95 3216 7.599 0.2%
96 3241 15.01 0.4%
97 3290 15.78 0.4%
98 3325 8.032 0.2%
99 3358 14.87 0.4%
100 3406 10.12 0.2%

Quality and confidence:
param error
e 0.065

Model:
Time ~= 0
+ e 34.15
µs

Reads = 2 + (0 * e)
Writes = 4 + (7 * e)
Pallet: "pallet_staking", Extrinsic: "reap_stash", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 68.33
+ s 2.758
µs

Reads = 4 + (0 * s)
Writes = 8 + (1 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 69.2 0.151 0.2%
2 72.01 0.142 0.1%
3 74.93 0.153 0.2%
4 78.9 0.186 0.2%
5 81.5 0.146 0.1%
6 84.32 0.137 0.1%
7 86.89 0.24 0.2%
8 89.65 0.201 0.2%
9 92.66 0.12 0.1%
10 95.14 0.175 0.1%
11 98.88 0.782 0.7%
12 101.3 0.202 0.1%
13 104.2 0.272 0.2%
14 106.8 0.137 0.1%
15 109.6 0.241 0.2%
16 112.2 0.172 0.1%
17 114.9 0.122 0.1%
18 117.8 0.136 0.1%
19 120.5 0.209 0.1%
20 123.3 0.147 0.1%
21 126.3 0.17 0.1%
22 128.9 0.34 0.2%
23 131.7 0.163 0.1%
24 135 0.096 0.0%
25 137.9 0.29 0.2%
26 141.1 0.186 0.1%
27 143.1 0.163 0.1%
28 146.2 0.271 0.1%
29 148.9 0.294 0.1%
30 151.7 0.314 0.2%
31 155.7 1.439 0.9%
32 157.3 0.214 0.1%
33 159.7 0.231 0.1%
34 162.5 0.139 0.0%
35 165.2 0.17 0.1%
36 168 0.232 0.1%
37 170.8 0.216 0.1%
38 173.5 0.349 0.2%
39 176.3 0.153 0.0%
40 179.4 0.19 0.1%
41 182.6 0.202 0.1%
42 185.1 0.255 0.1%
43 187.2 0.266 0.1%
44 190.7 0.126 0.0%
45 193 0.422 0.2%
46 196 0.242 0.1%
47 198.8 0.243 0.1%
48 201.7 0.423 0.2%
49 204 0.247 0.1%
50 205.7 0.341 0.1%
51 208.6 0.251 0.1%
52 211.4 0.168 0.0%
53 214.8 0.175 0.0%
54 217.6 0.529 0.2%
55 220.4 0.222 0.1%
56 223 0.361 0.1%
57 225.4 0.27 0.1%
58 228.2 0.209 0.0%
59 231.2 0.306 0.1%
60 233.3 0.345 0.1%
61 237.1 0.487 0.2%
62 240 0.374 0.1%
63 242.5 0.236 0.0%
64 244.6 0.294 0.1%
65 247.9 0.185 0.0%
66 250.7 0.541 0.2%
67 252.8 0.212 0.0%
68 255.8 0.342 0.1%
69 258.4 0.269 0.1%
70 261.1 0.342 0.1%
71 264.5 0.242 0.0%
72 265.8 0.299 0.1%
73 269.2 0.415 0.1%
74 273.4 0.327 0.1%
75 275.4 0.261 0.0%
76 277.6 0.336 0.1%
77 279.9 0.484 0.1%
78 282.9 0.367 0.1%
79 285.8 0.294 0.1%
80 288.6 0.394 0.1%
81 290.4 0.391 0.1%
82 293.4 0.35 0.1%
83 296.5 0.126 0.0%
84 299.1 0.337 0.1%
85 302.3 0.27 0.0%
86 304.7 0.346 0.1%
87 307.6 0.313 0.1%
88 309.9 0.294 0.0%
89 313.6 0.228 0.0%
90 315.1 0.426 0.1%
91 318.4 0.342 0.1%
92 322.8 0.448 0.1%
93 325.1 0.466 0.1%
94 327.8 0.445 0.1%
95 329.3 0.638 0.1%
96 332.5 0.17 0.0%
97 336.4 0.336 0.0%
98 338.8 0.38 0.1%
99 342 0.29 0.0%
100 344.3 0.212 0.0%

Quality and confidence:
param error
s 0

Model:
Time ~= 68.37
+ s 2.757
µs

Reads = 4 + (0 * s)
Writes = 8 + (1 * s)
Pallet: "pallet_staking", Extrinsic: "new_era", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 0
+ v 569.3
+ n 83.73
µs

Reads = 9 + (4 * v) + (3 * n)
Writes = 13 + (3 * v) + (0 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v n mean µs sigma µs %
1 100 3802 13.41 0.3%
2 100 4382 10.2 0.2%
3 100 4858 10.67 0.2%
4 100 5385 11.13 0.2%
5 100 6038 34.34 0.5%
6 100 6501 11.27 0.1%
7 100 7062 14.61 0.2%
8 100 7596 10.89 0.1%
9 100 8382 9.954 0.1%
10 1 684.5 1.129 0.1%
10 2 776.8 1.016 0.1%
10 3 865.1 1.744 0.2%
10 4 943.4 0.869 0.0%
10 5 1030 1.345 0.1%
10 6 1105 1.761 0.1%
10 7 1194 0.593 0.0%
10 8 1290 7.911 0.6%
10 9 1372 8.846 0.6%
10 10 1461 12.27 0.8%
10 11 1537 6.664 0.4%
10 12 1615 9.082 0.5%
10 13 1708 7.664 0.4%
10 14 1800 13.55 0.7%
10 15 1865 2.242 0.1%
10 16 1957 4.23 0.2%
10 17 2034 7.045 0.3%
10 18 2126 14.06 0.6%
10 19 2209 3.676 0.1%
10 20 2277 2.256 0.0%
10 21 2380 11.8 0.4%
10 22 2461 14.47 0.5%
10 23 2548 19.21 0.7%
10 24 2625 14.2 0.5%
10 25 2719 18.29 0.6%
10 26 2814 14.12 0.5%
10 27 2906 16.27 0.5%
10 28 2979 16.48 0.5%
10 29 3072 12.88 0.4%
10 30 3145 13.12 0.4%
10 31 3219 14.26 0.4%
10 32 3315 15.78 0.4%
10 33 3412 13.12 0.3%
10 34 3480 11.49 0.3%
10 35 3581 16.95 0.4%
10 36 3658 15.98 0.4%
10 37 3747 12.63 0.3%
10 38 3799 15.58 0.4%
10 39 3900 9.626 0.2%
10 40 3988 9.826 0.2%
10 41 4062 8.858 0.2%
10 42 4156 10.73 0.2%
10 43 4224 11.37 0.2%
10 44 4330 9.523 0.2%
10 45 4406 9.294 0.2%
10 46 4485 5.321 0.1%
10 47 4558 7.312 0.1%
10 48 4626 4.553 0.0%
10 49 4702 14.2 0.3%
10 50 4796 12.5 0.2%
10 51 4893 5.99 0.1%
10 52 4980 11.8 0.2%
10 53 5111 5.855 0.1%
10 54 5177 8.533 0.1%
10 55 5265 6.859 0.1%
10 56 5344 11.48 0.2%
10 57 5449 9.609 0.1%
10 58 5515 15.19 0.2%
10 59 5582 4.708 0.0%
10 60 5661 8.122 0.1%
10 61 5729 5.253 0.0%
10 62 5841 5.438 0.0%
10 63 5917 15.8 0.2%
10 64 6016 4.959 0.0%
10 65 6080 13.35 0.2%
10 66 6190 6.735 0.1%
10 67 6252 12.72 0.2%
10 68 6352 9.147 0.1%
10 69 6421 11.47 0.1%
10 70 6497 12.39 0.1%
10 71 6589 16.52 0.2%
10 72 6658 10.93 0.1%
10 73 6756 29.05 0.4%
10 74 6877 15.91 0.2%
10 75 6936 14.13 0.2%
10 76 7003 13.66 0.1%
10 77 7053 14.03 0.1%
10 78 7168 10.42 0.1%
10 79 7238 18.45 0.2%
10 80 7326 13.32 0.1%
10 81 7407 13.86 0.1%
10 82 7503 14.03 0.1%
10 83 7577 10.81 0.1%
10 84 7614 12.05 0.1%
10 85 7737 17.81 0.2%
10 86 7808 11.63 0.1%
10 87 7887 11.08 0.1%
10 88 8007 12.1 0.1%
10 89 8038 6.644 0.0%
10 90 8206 23.55 0.2%
10 91 8336 45.94 0.5%
10 92 8321 15.47 0.1%
10 93 8411 14.47 0.1%
10 94 8446 9.982 0.1%
10 95 8554 20.66 0.2%
10 96 8594 10.8 0.1%
10 97 8705 13.73 0.1%
10 98 8778 14.84 0.1%
10 99 8842 14.51 0.1%
10 100 8952 12.24 0.1%

Quality and confidence:
param error
v 0.908
n 0.045

Model:
Time ~= 0
+ v 588.5
+ n 83.48
µs

Reads = 9 + (4 * v) + (3 * n)
Writes = 13 + (3 * v) + (0 * n)
Pallet: "pallet_staking", Extrinsic: "submit_solution_better", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 0
+ v 0.737
+ n 0.59
+ a 75.18
+ w 8.01
µs

Reads = 6 + (0 * v) + (0 * n) + (4 * a) + (1 * w)
Writes = 2 + (0 * v) + (0 * n) + (0 * a) + (0 * w)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v n a w mean µs sigma µs %
200 1000 400 100 31130 62.2 0.1%
204 1000 400 100 31410 53.68 0.1%
208 1000 400 100 31230 25.88 0.0%
212 1000 400 100 31230 60.59 0.1%
216 1000 400 100 31250 47.19 0.1%
220 1000 400 100 31220 47.81 0.1%
224 1000 400 100 31120 30.38 0.0%
228 1000 400 100 31300 57.7 0.1%
232 1000 400 100 31190 89.27 0.2%
236 1000 400 100 31350 64.06 0.2%
240 1000 400 100 31330 62.41 0.1%
244 1000 400 100 31150 60.93 0.1%
248 1000 400 100 31310 42.48 0.1%
252 1000 400 100 31250 62.41 0.1%
256 1000 400 100 31340 53.49 0.1%
260 1000 400 100 31210 61.52 0.1%
264 1000 400 100 31310 54.49 0.1%
268 1000 400 100 31320 64.17 0.2%
272 1000 400 100 31190 68.74 0.2%
276 1000 400 100 31210 53.37 0.1%
280 1000 400 100 31410 77.98 0.2%
284 1000 400 100 31230 53.46 0.1%
288 1000 400 100 31410 76.66 0.2%
292 1000 400 100 31180 47.8 0.1%
296 1000 400 100 31260 57.07 0.1%
300 1000 400 100 31170 51.65 0.1%
304 1000 400 100 31240 36.66 0.1%
308 1000 400 100 31290 44.15 0.1%
312 1000 400 100 31320 33.74 0.1%
316 1000 400 100 31330 86.9 0.2%
320 1000 400 100 31450 41.48 0.1%
324 1000 400 100 31210 54.12 0.1%
328 1000 400 100 31350 30.96 0.0%
332 1000 400 100 31420 45.45 0.1%
336 1000 400 100 31390 40.82 0.1%
340 1000 400 100 31340 68.83 0.2%
344 1000 400 100 31310 56.62 0.1%
348 1000 400 100 31390 70.54 0.2%
352 1000 400 100 31510 51.69 0.1%
356 1000 400 100 31360 38.75 0.1%
360 1000 400 100 31410 46.3 0.1%
364 1000 400 100 31510 61.26 0.1%
368 1000 400 100 31470 73.96 0.2%
372 1000 400 100 31390 49.6 0.1%
376 1000 400 100 31380 90.49 0.2%
380 1000 400 100 31460 27.78 0.0%
384 1000 400 100 31360 78.2 0.2%
388 1000 400 100 31140 47.14 0.1%
392 1000 400 100 31340 42 0.1%
396 1000 400 100 31340 54.85 0.1%
400 500 400 100 31130 81.32 0.2%
400 510 400 100 30890 25.32 0.0%
400 520 400 100 31160 62.07 0.1%
400 530 400 100 31130 55.83 0.1%
400 540 400 100 31000 50.72 0.1%
400 550 400 100 31180 46.21 0.1%
400 560 400 100 31200 55.83 0.1%
400 570 400 100 31210 42.02 0.1%
400 580 400 100 31160 53.08 0.1%
400 590 400 100 31160 30.9 0.0%
400 600 400 100 31030 69.8 0.2%
400 610 400 100 30950 53.04 0.1%
400 620 400 100 31330 56.62 0.1%
400 630 400 100 31180 78.19 0.2%
400 640 400 100 31200 91.47 0.2%
400 650 400 100 31120 49.72 0.1%
400 660 400 100 31260 58.14 0.1%
400 670 400 100 31280 38.59 0.1%
400 680 400 100 31210 45.84 0.1%
400 690 400 100 31050 49.05 0.1%
400 700 400 100 31150 42.82 0.1%
400 710 400 100 31290 84.22 0.2%
400 720 400 100 31360 46.22 0.1%
400 730 400 100 31030 46.85 0.1%
400 740 400 100 31260 44.85 0.1%
400 750 400 100 31310 46.66 0.1%
400 760 400 100 31240 53.21 0.1%
400 770 400 100 31270 54.28 0.1%
400 780 400 100 31310 75.82 0.2%
400 790 400 100 31140 25.52 0.0%
400 800 400 100 31280 70.82 0.2%
400 810 400 100 31370 66.21 0.2%
400 820 400 100 31280 17.59 0.0%
400 830 400 100 31310 74.91 0.2%
400 840 400 100 31390 44.34 0.1%
400 850 400 100 31390 45.19 0.1%
400 860 400 100 31370 23.72 0.0%
400 870 400 100 31410 55.11 0.1%
400 880 400 100 31480 28.03 0.0%
400 890 400 100 31330 45.86 0.1%
400 900 400 100 31540 53.87 0.1%
400 910 400 100 31310 78.08 0.2%
400 920 400 100 31400 76.58 0.2%
400 930 400 100 31260 49.1 0.1%
400 940 400 100 31440 75.73 0.2%
400 950 400 100 31350 103.6 0.3%
400 960 400 100 31440 53.45 0.1%
400 970 400 100 31340 32.01 0.1%
400 980 400 100 31360 71.36 0.2%
400 990 400 100 31270 55.65 0.1%
400 1000 200 100 16140 24.39 0.1%
400 1000 204 100 16390 28.83 0.1%
400 1000 208 100 16710 24.05 0.1%
400 1000 212 100 17150 52.65 0.3%
400 1000 216 100 17450 28.5 0.1%
400 1000 220 100 17760 38.77 0.2%
400 1000 224 100 18070 21.52 0.1%
400 1000 228 100 18320 44.68 0.2%
400 1000 232 100 18670 49.98 0.2%
400 1000 236 100 18930 40.91 0.2%
400 1000 240 100 19220 38.09 0.1%
400 1000 244 100 19510 37.99 0.1%
400 1000 248 100 19810 40.75 0.2%
400 1000 252 100 20140 34.86 0.1%
400 1000 256 100 20450 30.17 0.1%
400 1000 260 100 20760 30.26 0.1%
400 1000 264 100 21090 39.17 0.1%
400 1000 268 100 21340 39.75 0.1%
400 1000 272 100 21610 19.34 0.0%
400 1000 276 100 21960 28.73 0.1%
400 1000 280 100 22280 25.2 0.1%
400 1000 284 100 22530 38.05 0.1%
400 1000 288 100 22790 41.08 0.1%
400 1000 292 100 23090 54.09 0.2%
400 1000 296 100 23450 20.45 0.0%
400 1000 300 100 23740 50.2 0.2%
400 1000 304 100 24040 53.11 0.2%
400 1000 308 100 24260 39.78 0.1%
400 1000 312 100 24610 41.31 0.1%
400 1000 316 100 24900 52.35 0.2%
400 1000 320 100 25210 38.8 0.1%
400 1000 324 100 25440 32.01 0.1%
400 1000 328 100 25800 33.87 0.1%
400 1000 332 100 26120 39.83 0.1%
400 1000 336 100 26470 41.55 0.1%
400 1000 340 100 26670 51.94 0.1%
400 1000 344 100 27010 51.29 0.1%
400 1000 348 100 27290 51.3 0.1%
400 1000 352 100 27670 61.04 0.2%
400 1000 356 100 27890 48.73 0.1%
400 1000 360 100 28230 52.46 0.1%
400 1000 364 100 28530 69.09 0.2%
400 1000 368 100 28800 52.78 0.1%
400 1000 372 100 29100 35.64 0.1%
400 1000 376 100 29450 37.95 0.1%
400 1000 380 100 29670 58.39 0.1%
400 1000 384 100 30050 71.69 0.2%
400 1000 388 100 30350 49.07 0.1%
400 1000 392 100 30610 42.4 0.1%
400 1000 396 100 30970 25.02 0.0%
400 1000 400 16 30780 28.88 0.0%
400 1000 400 17 30780 77.04 0.2%
400 1000 400 18 30630 50.94 0.1%
400 1000 400 19 30850 49.4 0.1%
400 1000 400 20 30860 63.28 0.2%
400 1000 400 21 30840 54.49 0.1%
400 1000 400 22 30930 47.52 0.1%
400 1000 400 23 30950 90.87 0.2%
400 1000 400 24 30950 46.73 0.1%
400 1000 400 25 30610 40.45 0.1%
400 1000 400 26 30650 72.16 0.2%
400 1000 400 27 30760 65.82 0.2%
400 1000 400 28 30680 53.2 0.1%
400 1000 400 29 30860 62.93 0.2%
400 1000 400 30 30830 50.43 0.1%
400 1000 400 31 30810 76.22 0.2%
400 1000 400 32 30830 64.92 0.2%
400 1000 400 33 30840 58.82 0.1%
400 1000 400 34 30860 43.54 0.1%
400 1000 400 35 30860 49.76 0.1%
400 1000 400 36 30940 65.93 0.2%
400 1000 400 37 30880 56.42 0.1%
400 1000 400 38 30970 48.81 0.1%
400 1000 400 39 31110 46.59 0.1%
400 1000 400 40 30970 46.54 0.1%
400 1000 400 41 31010 52.83 0.1%
400 1000 400 42 30990 41.55 0.1%
400 1000 400 43 30930 54.39 0.1%
400 1000 400 44 31030 39.48 0.1%
400 1000 400 45 31140 67.11 0.2%
400 1000 400 46 31130 36.67 0.1%
400 1000 400 47 31070 58.38 0.1%
400 1000 400 48 31080 40.1 0.1%
400 1000 400 49 30940 107.7 0.3%
400 1000 400 50 30960 36.35 0.1%
400 1000 400 51 30990 48.76 0.1%
400 1000 400 52 30980 38.9 0.1%
400 1000 400 53 31050 38.66 0.1%
400 1000 400 54 31040 45.3 0.1%
400 1000 400 55 31020 60.58 0.1%
400 1000 400 56 30970 56.19 0.1%
400 1000 400 57 30970 74.86 0.2%
400 1000 400 58 31140 62.6 0.2%
400 1000 400 59 30960 83.4 0.2%
400 1000 400 60 31000 44.85 0.1%
400 1000 400 61 30990 68.24 0.2%
400 1000 400 62 30920 41.4 0.1%
400 1000 400 63 31100 51.69 0.1%
400 1000 400 64 31110 39.29 0.1%
400 1000 400 65 31290 25.55 0.0%
400 1000 400 66 31170 55.63 0.1%
400 1000 400 67 31080 34.12 0.1%
400 1000 400 68 31250 51.9 0.1%
400 1000 400 69 31020 35.73 0.1%
400 1000 400 70 31180 40.51 0.1%
400 1000 400 71 31160 42.17 0.1%
400 1000 400 72 31300 74.81 0.2%
400 1000 400 73 31240 47.84 0.1%
400 1000 400 74 31350 65.38 0.2%
400 1000 400 75 31330 48.68 0.1%
400 1000 400 76 31220 37.38 0.1%
400 1000 400 77 31290 43.2 0.1%
400 1000 400 78 31280 39.13 0.1%
400 1000 400 79 31220 37.4 0.1%
400 1000 400 80 31460 63.65 0.2%
400 1000 400 81 31170 49.21 0.1%
400 1000 400 82 31260 84.14 0.2%
400 1000 400 83 31310 67.89 0.2%
400 1000 400 84 31330 45.6 0.1%
400 1000 400 85 31380 53.88 0.1%
400 1000 400 86 31240 60.32 0.1%
400 1000 400 87 31300 54.01 0.1%
400 1000 400 88 31550 38.65 0.1%
400 1000 400 89 31470 75.02 0.2%
400 1000 400 90 31430 28.97 0.0%
400 1000 400 91 31400 52.23 0.1%
400 1000 400 92 31330 132.5 0.4%
400 1000 400 93 31460 49.81 0.1%
400 1000 400 94 31540 44.46 0.1%
400 1000 400 95 31410 57.62 0.1%
400 1000 400 96 31380 46.39 0.1%
400 1000 400 97 31290 43.95 0.1%
400 1000 400 98 31380 71.48 0.2%
400 1000 400 99 31370 52.83 0.1%
400 1000 400 100 31310 56.35 0.1%

Quality and confidence:
param error
v 0.052
n 0.02
a 0.052
w 0.108

Model:
Time ~= 0
+ v 0.75
+ n 0.556
+ a 76.2
+ w 7.271
µs

Reads = 6 + (0 * v) + (0 * n) + (4 * a) + (1 * w)
Writes = 2 + (0 * v) + (0 * n) + (0 * a) + (0 * w)

[kianenigma]

These CI errors seem unrelated to me.

[gui1117]

but the companion should be green.

it fails with:

error: There are multiple `sp-io` packages in your project, and the specification `sp-io` is ambiguous.
Please re-run this command with `-p <spec>` where `<spec>` is one of the following:

I don't know why though