Update Weight for Pallet Staking including Kick

[shawntabrizi]

This PR will run the benchmarking bot on the latest changes to Pallet Staking.

Replacing: #2290

[shawntabrizi]

/benchmark runtime polkadot pallet_staking

[parity-benchapp]

Finished benchmark for branch: shawntabrizi-weights-for-kick

Benchmark: Benchmark Runtime Polkadot Pallet

cargo run --release --features=runtime-benchmarks -- benchmark --chain=polkadot-dev --steps=50 --repeat=20 --pallet=pallet_staking --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --header=./file_header.txt --output=./runtime/polkadot/src/weights/

Results

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

-- Extrinsic Time --

Model:
Time ~= 69.81
µs

Reads = 5
Writes = 4
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 69.81
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 ~= 56.97
µs

Reads = 4
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 56.97
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 ~= 51.96
µs

Reads = 5
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 51.96
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 ~= 52.64
+ s 0.037
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 51.8 0.125 0.2%
2 52.04 0.171 0.3%
4 52.35 0.136 0.2%
6 52.91 0.172 0.3%
8 52.94 0.073 0.1%
10 53.02 0.119 0.2%
12 53.28 0.186 0.3%
14 53.32 0.196 0.3%
16 53.55 0.132 0.2%
18 53.41 0.143 0.2%
20 53.43 0.105 0.1%
22 53.58 0.158 0.2%
24 53.26 0.104 0.1%
26 53.44 0.146 0.2%
28 53.84 0.095 0.1%
30 53.56 0.156 0.2%
32 53.66 0.114 0.2%
34 53.98 0.233 0.4%
36 54.3 0.134 0.2%
38 54.02 0.112 0.2%
40 54.17 0.113 0.2%
42 53.94 0.077 0.1%
44 54.51 0.185 0.3%
46 54.38 0.093 0.1%
48 55.03 0.14 0.2%
50 54.94 0.112 0.2%
52 54.52 0.119 0.2%
54 54.41 0.155 0.2%
56 55.16 0.145 0.2%
58 55.21 0.199 0.3%
60 54.98 0.126 0.2%
62 55.73 0.171 0.3%
64 55.27 0.12 0.2%
66 55.5 0.4 0.7%
68 55.38 0.319 0.5%
70 55.55 0.175 0.3%
72 55.55 0.156 0.2%
74 55.8 0.087 0.1%
76 55.71 0.166 0.2%
78 55.56 0.249 0.4%
80 56.04 0.09 0.1%
82 55.81 0.078 0.1%
84 55.7 0.254 0.4%
86 55.67 0.125 0.2%
88 55.65 0.126 0.2%
90 55.67 0.087 0.1%
92 55.71 0.088 0.1%
94 55.35 0.145 0.2%
96 55.72 0.136 0.2%
98 55.96 0.136 0.2%
100 56.19 0.119 0.2%

Quality and confidence:
param error
s 0

Model:
Time ~= 52.64
+ s 0.038
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 ~= 82.32
+ s 2.377
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 77.78 0.2 0.2%
2 86.34 0.197 0.2%
4 91.67 0.219 0.2%
6 96.48 0.151 0.1%
8 101.2 0.166 0.1%
10 106.8 0.826 0.7%
12 111.2 0.908 0.8%
14 115.8 0.262 0.2%
16 120.7 0.323 0.2%
18 125.1 0.242 0.1%
20 130 0.199 0.1%
22 134.5 0.224 0.1%
24 139.9 0.172 0.1%
26 144.3 0.389 0.2%
28 149.1 0.132 0.0%
30 153.8 0.119 0.0%
32 158.4 0.341 0.2%
34 163.1 0.183 0.1%
36 168.2 0.429 0.2%
38 172.2 0.393 0.2%
40 177.7 0.403 0.2%
42 182.6 0.242 0.1%
44 187.2 0.329 0.1%
46 191.9 0.286 0.1%
48 197.1 0.373 0.1%
50 200.7 0.505 0.2%
52 205.9 0.373 0.1%
54 210.6 0.642 0.3%
56 215.8 0.406 0.1%
58 219.5 0.811 0.3%
60 224.7 0.512 0.2%
62 229.9 0.397 0.1%
64 234.6 0.724 0.3%
66 239.5 0.626 0.2%
68 243.8 0.469 0.1%
70 248.7 0.51 0.2%
72 253.4 0.562 0.2%
74 258.9 0.964 0.3%
76 262.8 0.303 0.1%
78 266.9 0.661 0.2%
80 271.7 0.547 0.2%
82 277.5 0.713 0.2%
84 281.1 0.635 0.2%
86 286.3 1.018 0.3%
88 291.1 0.24 0.0%
90 294.7 0.548 0.1%
92 300.7 0.674 0.2%
94 306.2 0.688 0.2%
96 310.7 0.936 0.3%
98 316.9 0.802 0.2%
100 321.1 0.385 0.1%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 82.1
+ s 2.381
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 ~= 17.35
µs

Reads = 2
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 17.35
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 ~= 16.94
+ k 16.83
µs

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

-- Extrinsic Time --

Data points distribution:
k mean µs sigma µs %
1 40.78 0.107 0.2%
3 75.67 0.212 0.2%
5 107.4 0.242 0.2%
7 140.4 0.23 0.1%
9 173.1 0.333 0.1%
11 205.4 0.238 0.1%
13 241.9 6.86 2.8%
15 271.8 0.702 0.2%
17 302.3 0.664 0.2%
19 337.6 1.242 0.3%
21 372.7 3.671 0.9%
23 402.8 0.596 0.1%
25 435.2 0.476 0.1%
27 470.3 1.295 0.2%
29 502 0.755 0.1%
31 532.5 1.274 0.2%
33 567.5 0.776 0.1%
35 600.2 1.838 0.3%
37 633.8 1.812 0.2%
39 669.3 1.207 0.1%
41 696.4 1.233 0.1%
43 733.9 2.006 0.2%
45 765.7 1.47 0.1%
47 807.4 3.464 0.4%
49 837 1.455 0.1%
51 875.7 1.936 0.2%
53 910 11.71 1.2%
55 940.1 4.963 0.5%
57 973.1 2.389 0.2%
59 1007 1.621 0.1%
61 1043 3.211 0.3%
63 1073 4.132 0.3%
65 1105 1.175 0.1%
67 1148 8.291 0.7%
69 1180 4.906 0.4%
71 1212 5.677 0.4%
73 1250 9.041 0.7%
75 1278 2.923 0.2%
77 1316 10.52 0.7%
79 1338 2.546 0.1%
81 1386 10 0.7%
83 1415 8.71 0.6%
85 1440 3.255 0.2%
87 1483 13.12 0.8%
89 1508 7.724 0.5%
91 1541 9.26 0.6%
93 1583 10.16 0.6%
95 1618 13.08 0.8%
97 1650 10.6 0.6%
99 1686 11.43 0.6%
101 1745 8.473 0.4%
103 1780 7.387 0.4%
105 1783 8.134 0.4%
107 1820 10.47 0.5%
109 1875 16.56 0.8%
111 1885 8.736 0.4%
113 1927 8.983 0.4%
115 1968 11.51 0.5%
117 1996 14.48 0.7%
119 2032 13.6 0.6%
121 2068 8.059 0.3%
123 2105 8.763 0.4%
125 2129 9.42 0.4%
127 2164 8.847 0.4%

Quality and confidence:
param error
k 0.011

Model:
Time ~= 13.47
+ k 16.92
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 ~= 26.48
+ n 5.28
µs

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

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 30.72 0.163 0.5%
2 37.19 0.076 0.2%
3 42.12 0.116 0.2%
4 47.49 0.135 0.2%
5 53.48 0.154 0.2%
6 58.2 0.225 0.3%
7 63.38 0.257 0.4%
8 67.59 0.217 0.3%
9 74.57 0.252 0.3%
10 79.47 0.254 0.3%
11 85.46 0.213 0.2%
12 90.09 0.35 0.3%
13 95.07 0.49 0.5%
14 99.55 0.39 0.3%
15 105.6 0.415 0.3%
16 110 0.229 0.2%

Quality and confidence:
param error
n 0.011

Model:
Time ~= 26.42
+ n 5.275
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 ~= 16.72
µs

Reads = 2
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 16.72
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 ~= 11.49
µs

Reads = 1
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 11.49
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 ~= 24.78
µs

Reads = 3
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 24.78
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 ~= 2.084
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.084
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 ~= 2.268
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.268
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 ~= 2.294
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.294
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 ~= 2.335
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.335
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 ~= 2.318
+ v 0.008
µs

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

-- Extrinsic Time --

Data points distribution:
v mean µs sigma µs %
0 2.265 0.008 0.3%
20 2.607 0.019 0.7%
40 2.765 0.029 1.0%
60 2.933 0.024 0.8%
80 3.032 0.016 0.5%
100 3.235 0.024 0.7%
120 3.406 0.016 0.4%
140 3.636 0.028 0.7%
160 3.765 0.029 0.7%
180 3.924 0.026 0.6%
200 4.099 0.016 0.3%
220 4.255 0.022 0.5%
240 4.385 0.028 0.6%
260 4.563 0.025 0.5%
280 4.752 0.018 0.3%
300 4.902 0.031 0.6%
320 5.03 0.016 0.3%
340 5.157 0.027 0.5%
360 5.286 0.021 0.3%
380 5.451 0.024 0.4%
400 5.666 0.016 0.2%
420 5.784 0.019 0.3%
440 5.921 0.019 0.3%
460 6.113 0.012 0.1%
480 6.263 0.035 0.5%
500 6.403 0.018 0.2%
520 6.765 0.03 0.4%
540 6.896 0.02 0.2%
560 7.073 0.016 0.2%
580 7.225 0.021 0.2%
600 7.416 0.042 0.5%
620 7.608 0.017 0.2%
640 7.869 0.034 0.4%
660 8.013 0.018 0.2%
680 8.205 0.023 0.2%
700 8.33 0.024 0.2%
720 8.512 0.015 0.1%
740 8.67 0.018 0.2%
760 8.784 0.031 0.3%
780 9.09 0.025 0.2%
800 9.275 0.039 0.4%
820 9.44 0.019 0.2%
840 9.58 0.027 0.2%
860 9.746 0.027 0.2%
880 9.879 0.021 0.2%
900 10.19 0.025 0.2%
920 10.32 0.03 0.2%
940 10.5 0.025 0.2%
960 10.62 0.026 0.2%
980 10.89 0.06 0.5%
1000 11.01 0.025 0.2%

Quality and confidence:
param error
v 0

Model:
Time ~= 2.304
+ v 0.009
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 ~= 55.43
+ s 2.365
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 51.1 0.103 0.2%
2 59.13 0.121 0.2%
4 64.69 0.134 0.2%
6 69.42 0.098 0.1%
8 74.25 0.069 0.0%
10 78.99 0.134 0.1%
12 84.18 0.135 0.1%
14 88.83 0.16 0.1%
16 93.6 0.22 0.2%
18 98.29 0.201 0.2%
20 102.8 0.165 0.1%
22 107.7 0.085 0.0%
24 112.6 0.157 0.1%
26 117.5 0.254 0.2%
28 121.8 0.17 0.1%
30 126.8 0.26 0.2%
32 131 0.3 0.2%
34 136 0.326 0.2%
36 140.7 0.26 0.1%
38 146.2 1.286 0.8%
40 150.2 0.32 0.2%
42 154.7 0.271 0.1%
44 159.6 0.382 0.2%
46 164.4 0.303 0.1%
48 169.8 0.163 0.0%
50 173.3 0.248 0.1%
52 178.2 0.34 0.1%
54 182.5 0.305 0.1%
56 187.8 0.261 0.1%
58 191.9 0.438 0.2%
60 196.2 0.446 0.2%
62 202.2 0.35 0.1%
64 206.6 0.265 0.1%
66 211.6 0.715 0.3%
68 216.4 0.349 0.1%
70 220.6 0.241 0.1%
72 226.4 1.061 0.4%
74 229.9 0.413 0.1%
76 234.8 0.56 0.2%
78 239.2 0.547 0.2%
80 244.5 0.762 0.3%
82 248.3 0.519 0.2%
84 253.4 0.46 0.1%
86 258.2 0.823 0.3%
88 262.5 0.515 0.1%
90 267.6 0.793 0.2%
92 273.3 0.235 0.0%
94 278.4 0.603 0.2%
96 283 0.615 0.2%
98 288.2 0.551 0.1%
100 294 0.784 0.2%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 55.14
+ s 2.37
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 ~= 6652
+ s 34.82
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 382.7 1.622 0.4%
20 1674 3.889 0.2%
39 2961 7.591 0.2%
58 4199 10.59 0.2%
77 5532 40.88 0.7%
96 6773 11.94 0.1%
115 7973 4.591 0.0%
134 8965 19.64 0.2%
153 10060 3.057 0.0%
172 11160 13.81 0.1%
191 12240 11.47 0.0%
210 13300 23.53 0.1%
229 14310 14.06 0.0%
248 15310 12.36 0.0%
267 16300 18.48 0.1%
286 17240 21.59 0.1%
305 18150 23.05 0.1%
324 19070 23.55 0.1%
343 19930 13.6 0.0%
362 20780 15.64 0.0%
381 21590 14.99 0.0%
400 22410 29.24 0.1%
419 23170 19.02 0.0%
438 23910 20.5 0.0%
457 24630 14.46 0.0%
476 25340 20.47 0.0%
495 26030 12.51 0.0%
514 26990 211.6 0.7%
533 27340 53.05 0.1%
552 27920 37.67 0.1%
571 28470 20.37 0.0%
590 28980 16.47 0.0%
609 29520 12.11 0.0%
628 30010 13.38 0.0%
647 30530 27.68 0.0%
666 30980 15.45 0.0%
685 31410 28.64 0.0%
704 31800 35.24 0.1%
723 32160 26.77 0.0%
742 32490 31.63 0.0%
761 32820 17.7 0.0%
780 33180 33.6 0.1%
799 33440 25.69 0.0%
818 33670 20.48 0.0%
837 33920 26.47 0.0%
856 34110 26.55 0.0%
875 34290 26.8 0.0%
894 34420 20.97 0.0%
913 34560 40.8 0.1%
932 34600 17.46 0.0%
951 34690 13.77 0.0%
970 34770 17.19 0.0%
989 34830 24.37 0.0%

Quality and confidence:
param error
s 0.39

Model:
Time ~= 5897
+ s 34.8
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 ~= 113
+ n 46.36
µs

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

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 147.3 0.423 0.2%
3 242 1.005 0.4%
5 338.6 1.138 0.3%
7 430.1 1.592 0.3%
9 521.8 1.074 0.2%
11 615.4 1.635 0.2%
13 708.1 1.26 0.1%
15 807 2.757 0.3%
17 901.7 3.128 0.3%
19 993.1 2.197 0.2%
21 1083 6 0.5%
23 1172 2.309 0.1%
25 1276 13 1.0%
27 1363 2.813 0.2%
29 1487 4.849 0.3%
31 1566 10.54 0.6%
33 1654 9.538 0.5%
35 1740 7.376 0.4%
37 1823 11.67 0.6%
39 1922 9.194 0.4%
41 2023 10.02 0.4%
43 2117 11.69 0.5%
45 2197 10.34 0.4%
47 2302 11.32 0.4%
49 2383 10.5 0.4%
51 2479 10.58 0.4%
53 2584 10.6 0.4%
55 2642 6.229 0.2%
57 2754 9.594 0.3%
59 2863 9.78 0.3%
61 2945 9.431 0.3%
63 3027 12.39 0.4%
65 3127 9.314 0.2%
67 3220 12.42 0.3%
69 3316 11.27 0.3%
71 3431 12.49 0.3%
73 3563 18.62 0.5%
75 3611 16.83 0.4%
77 3692 9.508 0.2%
79 3775 8.444 0.2%
81 3895 11.28 0.2%
83 3975 16.51 0.4%
85 4064 8.514 0.2%
87 4166 5.836 0.1%
89 4239 5.264 0.1%
91 4320 9.91 0.2%
93 4417 11.32 0.2%
95 4522 8.193 0.1%
97 4612 7.051 0.1%
99 4717 11.91 0.2%
101 4820 16.42 0.3%
103 4896 8.017 0.1%
105 4977 9.156 0.1%
107 5087 5.459 0.1%
109 5146 8.445 0.1%
111 5257 8.177 0.1%
113 5329 4.098 0.0%
115 5421 9.18 0.1%
117 5542 8.753 0.1%
119 5634 8.325 0.1%
121 5691 6.916 0.1%
123 5827 9.59 0.1%
125 5890 9.737 0.1%
127 6001 10.69 0.1%

Quality and confidence:
param error
n 0.018

Model:
Time ~= 115.4
+ n 46.37
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 ~= 134.8
+ n 59.77
µs

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

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 186.3 0.6 0.3%
3 315.6 6.338 2.0%
5 428.5 1.064 0.2%
7 544.5 0.871 0.1%
9 673.1 1.266 0.1%
11 791 1.359 0.1%
13 909.4 2.244 0.2%
15 1027 1.154 0.1%
17 1146 6.809 0.5%
19 1275 7.396 0.5%
21 1401 4.345 0.3%
23 1499 3.62 0.2%
25 1635 8.318 0.5%
27 1745 4.766 0.2%
29 1860 4.265 0.2%
31 1987 3.804 0.1%
33 2106 13.87 0.6%
35 2228 12.7 0.5%
37 2348 17.23 0.7%
39 2468 13.03 0.5%
41 2567 14.34 0.5%
43 2744 11.46 0.4%
45 2865 11.19 0.3%
47 2950 11.92 0.4%
49 3079 12.47 0.4%
51 3191 13.8 0.4%
53 3291 13.25 0.4%
55 3433 12.57 0.3%
57 3552 16.26 0.4%
59 3665 6.503 0.1%
61 3796 4.63 0.1%
63 3905 3.761 0.0%
65 3992 11.82 0.2%
67 4144 6.856 0.1%
69 4263 11.92 0.2%
71 4381 6.938 0.1%
73 4463 7.36 0.1%
75 4589 14.88 0.3%
77 4725 14.54 0.3%
79 4864 13.52 0.2%
81 5020 25.02 0.4%
83 5099 17.33 0.3%
85 5193 9.267 0.1%
87 5349 19.34 0.3%
89 5467 16.53 0.3%
91 5551 9.276 0.1%
93 5702 5.113 0.0%
95 5817 7.514 0.1%
97 5967 11.3 0.1%
99 6092 14.04 0.2%
101 6170 9.995 0.1%
103 6282 17.18 0.2%
105 6430 13.31 0.2%
107 6543 9.384 0.1%
109 6662 6.657 0.0%
111 6779 11.99 0.1%
113 6913 7.812 0.1%
115 6998 14.06 0.2%
117 7124 5.955 0.0%
119 7230 11.67 0.1%
121 7383 13.26 0.1%
123 7500 6.454 0.0%
125 7581 14.09 0.1%
127 7701 6.932 0.0%

Quality and confidence:
param error
n 0.021

Model:
Time ~= 135.2
+ n 59.8
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 ~= 36.19
+ l 0.078
µs

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

-- Extrinsic Time --

Data points distribution:
l mean µs sigma µs %
1 36.23 0.239 0.6%
2 36.1 0.145 0.4%
3 36.01 0.059 0.1%
4 36.1 0.078 0.2%
5 36.45 0.1 0.2%
6 36.52 0.069 0.1%
7 36.61 0.085 0.2%
8 36.7 0.049 0.1%
9 37.17 0.108 0.2%
10 37.16 0.064 0.1%
11 37.02 0.088 0.2%
12 37.26 0.055 0.1%
13 37.3 0.065 0.1%
14 37.45 0.11 0.2%
15 37.31 0.102 0.2%
16 37.48 0.089 0.2%
17 37.99 0.114 0.3%
18 38 0.127 0.3%
19 37.97 0.079 0.2%
20 38.09 0.101 0.2%
21 38.04 0.073 0.1%
22 38.25 0.147 0.3%
23 38.22 0.082 0.2%
24 38.05 0.114 0.2%
25 38.14 0.124 0.3%
26 38.06 0.045 0.1%
27 38.11 0.148 0.3%
28 38 0.07 0.1%
29 38.37 0.119 0.3%
30 38.3 0.065 0.1%
31 38.27 0.055 0.1%
32 38.24 0.072 0.1%

Quality and confidence:
param error
l 0.001

Model:
Time ~= 36.19
+ l 0.077
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 30.74
µs

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

-- Extrinsic Time --

Data points distribution:
e mean µs sigma µs %
1 36.56 0.193 0.5%
2 59.99 0.116 0.1%
3 81.71 0.11 0.1%
4 107 0.196 0.1%
5 128.6 0.18 0.1%
6 151.5 0.077 0.0%
7 174.8 0.237 0.1%
8 198.6 0.206 0.1%
9 219.3 0.359 0.1%
10 246.7 0.459 0.1%
11 270.5 0.359 0.1%
12 294.3 0.46 0.1%
13 315.5 0.437 0.1%
14 342.6 1.418 0.4%
15 369.7 0.58 0.1%
16 393.2 0.834 0.2%
17 419.4 0.701 0.1%
18 443.6 1.038 0.2%
19 471.6 1.254 0.2%
20 497.7 1.112 0.2%
21 522.3 1.208 0.2%
22 549 1.956 0.3%
23 579.2 1.381 0.2%
24 602.4 2.101 0.3%
25 625.3 1.12 0.1%
26 653 1.342 0.2%
27 682.3 2.023 0.2%
28 712.2 1.469 0.2%
29 741.2 1.41 0.1%
30 763.3 1.445 0.1%
31 794.1 1.79 0.2%
32 820.6 1.797 0.2%
33 847.8 1.623 0.1%
34 878.1 1.436 0.1%
35 904.9 1.755 0.1%
36 934.9 7.535 0.8%
37 968.1 5.229 0.5%
38 988.4 2.618 0.2%
39 1017 2.608 0.2%
40 1053 11.5 1.0%
41 1071 2.158 0.2%
42 1107 7.701 0.6%
43 1136 2.578 0.2%
44 1168 3.711 0.3%
45 1184 3.843 0.3%
46 1231 2.675 0.2%
47 1264 2.926 0.2%
48 1284 2.933 0.2%
49 1326 4.834 0.3%
50 1360 9.4 0.6%
51 1384 2.096 0.1%
52 1412 9.442 0.6%
53 1444 2.726 0.1%
54 1483 3.74 0.2%
55 1509 2.128 0.1%
56 1534 3.891 0.2%
57 1575 9.887 0.6%
58 1601 3.494 0.2%
59 1647 9.051 0.5%
60 1673 7.013 0.4%
61 1698 5.324 0.3%
62 1722 3.423 0.1%
63 1759 12.8 0.7%
64 1799 8.393 0.4%
65 1820 8.889 0.4%
66 1858 10.38 0.5%
67 1900 7.698 0.4%
68 1926 3.472 0.1%
69 1952 13.82 0.7%
70 2003 11.1 0.5%
71 2039 11.47 0.5%
72 2077 8.725 0.4%
73 2101 12.28 0.5%
74 2125 8.036 0.3%
75 2170 9.301 0.4%
76 2207 12.16 0.5%
77 2252 8.362 0.3%
78 2262 8.308 0.3%
79 2314 10.59 0.4%
80 2346 9.929 0.4%
81 2377 13.89 0.5%
82 2391 13.67 0.5%
83 2458 11.54 0.4%
84 2509 10.28 0.4%
85 2534 9.892 0.3%
86 2546 11.64 0.4%
87 2585 5.568 0.2%
88 2635 10.53 0.3%
89 2644 8.916 0.3%
90 2697 13.28 0.4%
91 2730 7.078 0.2%
92 2777 12.24 0.4%
93 2822 11.94 0.4%
94 2863 11.32 0.3%
95 2909 13.5 0.4%
96 2921 3.912 0.1%
97 3000 6.168 0.2%
98 3037 9.635 0.3%
99 3115 17.31 0.5%
100 3145 8.846 0.2%

Quality and confidence:
param error
e 0.069

Model:
Time ~= 0
+ e 30.93
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 ~= 59.45
+ s 2.347
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 59.86 0.149 0.2%
2 63.87 0.082 0.1%
3 65.31 0.601 0.9%
4 68.47 0.571 0.8%
5 71.6 0.148 0.2%
6 74.02 0.072 0.0%
7 74.84 0.131 0.1%
8 77.45 0.248 0.3%
9 81.52 0.124 0.1%
10 81.81 0.126 0.1%
11 86.1 0.198 0.2%
12 88.98 0.114 0.1%
13 91.35 0.14 0.1%
14 91.71 0.122 0.1%
15 96 0.171 0.1%
16 98.72 0.121 0.1%
17 101 0.12 0.1%
18 103.4 0.143 0.1%
19 105.7 0.109 0.1%
20 108 0.116 0.1%
21 108.9 0.784 0.7%
22 112.8 0.252 0.2%
23 113.1 0.392 0.3%
24 117.6 0.932 0.7%
25 120.5 0.28 0.2%
26 120.4 0.207 0.1%
27 122.5 0.315 0.2%
28 125 0.242 0.1%
29 127.2 0.213 0.1%
30 129.7 0.404 0.3%
31 131.9 0.162 0.1%
32 134.1 0.26 0.1%
33 136.7 0.151 0.1%
34 138.8 0.301 0.2%
35 141 0.322 0.2%
36 143.5 0.203 0.1%
37 145.5 0.258 0.1%
38 148 0.218 0.1%
39 150.9 0.396 0.2%
40 153.1 0.304 0.1%
41 155.3 0.367 0.2%
42 158 0.24 0.1%
43 160 0.33 0.2%
44 162.4 0.272 0.1%
45 165 0.465 0.2%
46 167.3 0.286 0.1%
47 169.4 0.375 0.2%
48 171.7 0.313 0.1%
49 174.3 0.293 0.1%
50 176.3 0.246 0.1%
51 178.1 0.277 0.1%
52 180.9 0.299 0.1%
53 183.6 0.405 0.2%
54 186.1 0.332 0.1%
55 188.6 0.505 0.2%
56 191.4 0.619 0.3%
57 192.7 0.382 0.1%
58 194.6 0.378 0.1%
59 197.8 0.193 0.0%
60 199.6 0.377 0.1%
61 202.3 0.232 0.1%
62 205.3 0.632 0.3%
63 207.1 0.441 0.2%
64 209.7 0.533 0.2%
65 212.2 0.254 0.1%
66 214.3 0.484 0.2%
67 216.2 0.499 0.2%
68 218.8 0.537 0.2%
69 221.9 0.487 0.2%
70 223.9 0.391 0.1%
71 225.8 0.353 0.1%
72 228.3 0.599 0.2%
73 230.7 0.372 0.1%
74 233.2 0.618 0.2%
75 235.5 0.488 0.2%
76 237.5 0.404 0.1%
77 240.1 0.516 0.2%
78 242.6 0.728 0.2%
79 244.8 0.607 0.2%
80 246.9 0.548 0.2%
81 248.5 0.482 0.1%
82 251.8 0.413 0.1%
83 254.2 0.652 0.2%
84 256.8 0.749 0.2%
85 259 0.359 0.1%
86 261.1 0.4 0.1%
87 264.9 0.521 0.1%
88 266.8 0.843 0.3%
89 268.6 0.717 0.2%
90 269.5 0.642 0.2%
91 272.5 0.641 0.2%
92 276.5 0.438 0.1%
93 278.9 0.618 0.2%
94 280.8 0.605 0.2%
95 281.7 0.515 0.1%
96 287.7 2.623 0.9%
97 288.4 1.151 0.3%
98 290.6 0.442 0.1%
99 293.7 0.498 0.1%
100 295.7 0.74 0.2%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 59.47
+ s 2.35
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 523.7
+ n 76.37
µs

Reads = 7 + (4 * v) + (3 * n)
Writes = 8 + (3 * v) + (0 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v n mean µs sigma µs %
1 100 3417 8.698 0.2%
2 100 3978 5.843 0.1%
3 100 4417 10.72 0.2%
4 100 4854 7.774 0.1%
5 100 5391 7.182 0.1%
6 100 5885 9.505 0.1%
7 100 6437 12.18 0.1%
8 100 6953 11.33 0.1%
9 100 7579 12.16 0.1%
10 1 598.3 1.158 0.1%
10 2 677.3 6.256 0.9%
10 3 758.2 4.577 0.6%
10 4 835.2 2.216 0.2%
10 5 911.8 2.843 0.3%
10 6 984.4 1.989 0.2%
10 7 1057 2.368 0.2%
10 8 1135 2.716 0.2%
10 9 1215 1.073 0.0%
10 10 1303 7.133 0.5%
10 11 1367 5.43 0.3%
10 12 1442 5.852 0.4%
10 13 1521 11.1 0.7%
10 14 1585 4.722 0.2%
10 15 1665 6.871 0.4%
10 16 1751 9.051 0.5%
10 17 1807 2.927 0.1%
10 18 1897 11.38 0.5%
10 19 1978 10.95 0.5%
10 20 2091 20.92 1.0%
10 21 2172 6.097 0.2%
10 22 2252 4.324 0.1%
10 23 2324 4.592 0.1%
10 24 2367 7.621 0.3%
10 25 2449 11.24 0.4%
10 26 2510 8.677 0.3%
10 27 2605 10.21 0.3%
10 28 2676 11.61 0.4%
10 29 2744 6.879 0.2%
10 30 2828 10.56 0.3%
10 31 2885 8.782 0.3%
10 32 2979 10.31 0.3%
10 33 3062 9.243 0.3%
10 34 3129 9.64 0.3%
10 35 3206 8.365 0.2%
10 36 3273 8.599 0.2%
10 37 3367 7.181 0.2%
10 38 3469 6.19 0.1%
10 39 3544 12.96 0.3%
10 40 3605 9.51 0.2%
10 41 3698 10.04 0.2%
10 42 3774 13.72 0.3%
10 43 3827 9.981 0.2%
10 44 3899 15.07 0.3%
10 45 3996 5.794 0.1%
10 46 4052 13.12 0.3%
10 47 4112 12.24 0.2%
10 48 4202 10.35 0.2%
10 49 4287 12.31 0.2%
10 50 4375 8.408 0.1%
10 51 4441 19.1 0.4%
10 52 4501 13.97 0.3%
10 53 4574 5.352 0.1%
10 54 4667 11.19 0.2%
10 55 4719 10.65 0.2%
10 56 4797 7.012 0.1%
10 57 4889 13.46 0.2%
10 58 4955 3.114 0.0%
10 59 5034 6.376 0.1%
10 60 5118 7.894 0.1%
10 61 5183 13.64 0.2%
10 62 5288 9.535 0.1%
10 63 5341 11.56 0.2%
10 64 5459 12.66 0.2%
10 65 5522 12.98 0.2%
10 66 5607 8.839 0.1%
10 67 5687 15 0.2%
10 68 5735 11.89 0.2%
10 69 5820 7.017 0.1%
10 70 5883 6.515 0.1%
10 71 5951 9.175 0.1%
10 72 6041 12.73 0.2%
10 73 6102 10.03 0.1%
10 74 6188 7.364 0.1%
10 75 6216 12.46 0.2%
10 76 6329 5.007 0.0%
10 77 6410 8.026 0.1%
10 78 6522 11.42 0.1%
10 79 6620 13.48 0.2%
10 80 6646 10.7 0.1%
10 81 6741 15.52 0.2%
10 82 6810 5.892 0.0%
10 83 6916 8.442 0.1%
10 84 6957 6.151 0.0%
10 85 7022 3.938 0.0%
10 86 7131 19.23 0.2%
10 87 7181 13.06 0.1%
10 88 7270 13.14 0.1%
10 89 7372 40.15 0.5%
10 90 7508 37.71 0.5%
10 91 7476 10.72 0.1%
10 92 7543 24.31 0.3%
10 93 7607 10.73 0.1%
10 94 7711 21.56 0.2%
10 95 7746 15.89 0.2%
10 96 7854 7.556 0.0%
10 97 7928 11.66 0.1%
10 98 8002 20.11 0.2%
10 99 8060 11.66 0.1%
10 100 8131 13.72 0.1%

Quality and confidence:
param error
v 0.782
n 0.039

Model:
Time ~= 0
+ v 538.3
+ n 76.2
µs

Reads = 7 + (4 * v) + (3 * n)
Writes = 8 + (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 0.826
+ n 0.327
+ a 67.46
+ w 6.538
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 28080 49.83 0.1%
204 1000 400 100 28050 41.3 0.1%
208 1000 400 100 27990 50.1 0.1%
212 1000 400 100 27990 46.18 0.1%
216 1000 400 100 28150 51.47 0.1%
220 1000 400 100 27950 60.71 0.2%
224 1000 400 100 28020 41.31 0.1%
228 1000 400 100 27890 26.52 0.0%
232 1000 400 100 27960 54.67 0.1%
236 1000 400 100 28180 78.1 0.2%
240 1000 400 100 28210 64.55 0.2%
244 1000 400 100 28130 46.86 0.1%
248 1000 400 100 28220 41.12 0.1%
252 1000 400 100 27960 49.51 0.1%
256 1000 400 100 28280 50.28 0.1%
260 1000 400 100 28180 62.35 0.2%
264 1000 400 100 28070 72.31 0.2%
268 1000 400 100 28120 55.54 0.1%
272 1000 400 100 28120 39.68 0.1%
276 1000 400 100 28050 65.04 0.2%
280 1000 400 100 28210 41.96 0.1%
284 1000 400 100 28080 29.41 0.1%
288 1000 400 100 28260 27.12 0.0%
292 1000 400 100 28200 77.25 0.2%
296 1000 400 100 28170 43.78 0.1%
300 1000 400 100 28130 44.59 0.1%
304 1000 400 100 28100 31.56 0.1%
308 1000 400 100 28210 42.38 0.1%
312 1000 400 100 28240 46.97 0.1%
316 1000 400 100 28180 37.81 0.1%
320 1000 400 100 28210 33.09 0.1%
324 1000 400 100 28040 39.26 0.1%
328 1000 400 100 28060 63.49 0.2%
332 1000 400 100 28100 76.16 0.2%
336 1000 400 100 28220 41.24 0.1%
340 1000 400 100 28100 47.2 0.1%
344 1000 400 100 28230 56.69 0.2%
348 1000 400 100 28290 27.6 0.0%
352 1000 400 100 28250 44.78 0.1%
356 1000 400 100 28100 27.34 0.0%
360 1000 400 100 28250 56.46 0.1%
364 1000 400 100 28160 76.22 0.2%
368 1000 400 100 28340 31.49 0.1%
372 1000 400 100 28230 44.43 0.1%
376 1000 400 100 28360 41.51 0.1%
380 1000 400 100 28250 57.42 0.2%
384 1000 400 100 28180 49.42 0.1%
388 1000 400 100 28300 30.38 0.1%
392 1000 400 100 28270 38.4 0.1%
396 1000 400 100 28230 43.94 0.1%
400 500 400 100 28050 36.96 0.1%
400 510 400 100 27970 37.73 0.1%
400 520 400 100 27960 58.31 0.2%
400 530 400 100 28040 36.35 0.1%
400 540 400 100 28080 48.65 0.1%
400 550 400 100 28080 59.89 0.2%
400 560 400 100 27880 49.07 0.1%
400 570 400 100 28100 38.62 0.1%
400 580 400 100 28190 63.26 0.2%
400 590 400 100 28010 52.04 0.1%
400 600 400 100 27990 66.54 0.2%
400 610 400 100 28180 27.56 0.0%
400 620 400 100 27910 42.35 0.1%
400 630 400 100 28090 65.18 0.2%
400 640 400 100 28170 45.97 0.1%
400 650 400 100 28170 32.88 0.1%
400 660 400 100 28040 59.62 0.2%
400 670 400 100 28200 38.32 0.1%
400 680 400 100 27990 52.98 0.1%
400 690 400 100 28270 57.59 0.2%
400 700 400 100 28070 72.18 0.2%
400 710 400 100 28180 48.91 0.1%
400 720 400 100 28160 59.1 0.2%
400 730 400 100 28020 42.81 0.1%
400 740 400 100 28200 63.27 0.2%
400 750 400 100 28090 31.21 0.1%
400 760 400 100 28110 33.37 0.1%
400 770 400 100 28160 48.31 0.1%
400 780 400 100 28270 53.58 0.1%
400 790 400 100 28150 37.64 0.1%
400 800 400 100 28030 76.41 0.2%
400 810 400 100 28140 33.87 0.1%
400 820 400 100 28220 72.28 0.2%
400 830 400 100 28210 42.89 0.1%
400 840 400 100 28220 54.38 0.1%
400 850 400 100 28150 49.65 0.1%
400 860 400 100 28200 28.7 0.1%
400 870 400 100 28130 52.77 0.1%
400 880 400 100 28040 30.15 0.1%
400 890 400 100 28130 35.96 0.1%
400 900 400 100 28270 54.55 0.1%
400 910 400 100 28250 55.25 0.1%
400 920 400 100 28270 49.18 0.1%
400 930 400 100 28180 41.59 0.1%
400 940 400 100 28270 34.02 0.1%
400 950 400 100 28290 36.75 0.1%
400 960 400 100 28220 72.91 0.2%
400 970 400 100 28270 57.18 0.2%
400 980 400 100 28120 58.23 0.2%
400 990 400 100 28330 50.37 0.1%
400 1000 200 100 14460 18.08 0.1%
400 1000 204 100 14740 21.01 0.1%
400 1000 208 100 15050 33.82 0.2%
400 1000 212 100 15300 30.44 0.1%
400 1000 216 100 15570 23.18 0.1%
400 1000 220 100 15960 24.44 0.1%
400 1000 224 100 16220 31.87 0.1%
400 1000 228 100 16510 27.12 0.1%
400 1000 232 100 16760 19.23 0.1%
400 1000 236 100 17040 23.87 0.1%
400 1000 240 100 17290 31.07 0.1%
400 1000 244 100 17600 40.05 0.2%
400 1000 248 100 17870 40.11 0.2%
400 1000 252 100 18080 29.84 0.1%
400 1000 256 100 18410 28.44 0.1%
400 1000 260 100 18690 34.05 0.1%
400 1000 264 100 18930 32.03 0.1%
400 1000 268 100 19190 29.43 0.1%
400 1000 272 100 19450 31.2 0.1%
400 1000 276 100 19720 30.01 0.1%
400 1000 280 100 20020 29.34 0.1%
400 1000 284 100 20290 20.44 0.1%
400 1000 288 100 20550 44.24 0.2%
400 1000 292 100 20800 17.85 0.0%
400 1000 296 100 21080 16.01 0.0%
400 1000 300 100 21410 15.82 0.0%
400 1000 304 100 21590 32.29 0.1%
400 1000 308 100 21880 32.23 0.1%
400 1000 312 100 22160 32.43 0.1%
400 1000 316 100 22430 37.03 0.1%
400 1000 320 100 22640 23.31 0.1%
400 1000 324 100 22920 35.78 0.1%
400 1000 328 100 23210 27.86 0.1%
400 1000 332 100 23490 47.06 0.2%
400 1000 336 100 23770 49.61 0.2%
400 1000 340 100 24070 27.63 0.1%
400 1000 344 100 24280 32.11 0.1%
400 1000 348 100 24530 33.45 0.1%
400 1000 352 100 24800 32.95 0.1%
400 1000 356 100 25080 43.26 0.1%
400 1000 360 100 25340 55.22 0.2%
400 1000 364 100 25600 28.31 0.1%
400 1000 368 100 25870 23.2 0.0%
400 1000 372 100 26150 32.33 0.1%
400 1000 376 100 26460 50.44 0.1%
400 1000 380 100 26690 59.99 0.2%
400 1000 384 100 26930 33.15 0.1%
400 1000 388 100 27230 47.31 0.1%
400 1000 392 100 27530 33.86 0.1%
400 1000 396 100 27840 40.9 0.1%
400 1000 400 16 27540 46.46 0.1%
400 1000 400 17 27620 45.87 0.1%
400 1000 400 18 27660 56.12 0.2%
400 1000 400 19 27700 76.51 0.2%
400 1000 400 20 27620 64.56 0.2%
400 1000 400 21 27830 25.77 0.0%
400 1000 400 22 27660 54.52 0.1%
400 1000 400 23 27780 39.9 0.1%
400 1000 400 24 27920 51.38 0.1%
400 1000 400 25 27720 24.85 0.0%
400 1000 400 26 27590 37.94 0.1%
400 1000 400 27 27700 45.25 0.1%
400 1000 400 28 27760 39.62 0.1%
400 1000 400 29 27710 66.24 0.2%
400 1000 400 30 27700 39.28 0.1%
400 1000 400 31 27650 68.39 0.2%
400 1000 400 32 27770 25.18 0.0%
400 1000 400 33 27760 52.73 0.1%
400 1000 400 34 27790 63.39 0.2%
400 1000 400 35 27760 55.33 0.1%
400 1000 400 36 27760 39.19 0.1%
400 1000 400 37 27920 43.29 0.1%
400 1000 400 38 27720 28.62 0.1%
400 1000 400 39 27950 54.58 0.1%
400 1000 400 40 27970 39.07 0.1%
400 1000 400 41 27950 30.81 0.1%
400 1000 400 42 27810 36.4 0.1%
400 1000 400 43 28030 18.43 0.0%
400 1000 400 44 27960 65.69 0.2%
400 1000 400 45 28060 43.52 0.1%
400 1000 400 46 27830 35.07 0.1%
400 1000 400 47 28020 35.48 0.1%
400 1000 400 48 27900 37.56 0.1%
400 1000 400 49 27940 31.94 0.1%
400 1000 400 50 27930 48.67 0.1%
400 1000 400 51 27880 60.52 0.2%
400 1000 400 52 27860 36.43 0.1%
400 1000 400 53 28020 47.79 0.1%
400 1000 400 54 27800 37.15 0.1%
400 1000 400 55 27830 32.12 0.1%
400 1000 400 56 27820 55.7 0.2%
400 1000 400 57 27820 40.09 0.1%
400 1000 400 58 28020 30.94 0.1%
400 1000 400 59 27770 30.91 0.1%
400 1000 400 60 27880 19.08 0.0%
400 1000 400 61 27900 44.57 0.1%
400 1000 400 62 27750 46.03 0.1%
400 1000 400 63 28040 55.78 0.1%
400 1000 400 64 28040 47.54 0.1%
400 1000 400 65 28110 24.37 0.0%
400 1000 400 66 27980 58.51 0.2%
400 1000 400 67 28030 36.46 0.1%
400 1000 400 68 28160 63.03 0.2%
400 1000 400 69 28010 80.64 0.2%
400 1000 400 70 28200 62.41 0.2%
400 1000 400 71 28050 46.01 0.1%
400 1000 400 72 28140 75.73 0.2%
400 1000 400 73 28120 50.57 0.1%
400 1000 400 74 28070 28.33 0.1%
400 1000 400 75 28000 60.87 0.2%
400 1000 400 76 28140 48.01 0.1%
400 1000 400 77 28140 61.55 0.2%
400 1000 400 78 28070 58.61 0.2%
400 1000 400 79 28050 64.07 0.2%
400 1000 400 80 28130 41.51 0.1%
400 1000 400 81 28250 46.11 0.1%
400 1000 400 82 28150 28.91 0.1%
400 1000 400 83 28170 48.66 0.1%
400 1000 400 84 28270 66.58 0.2%
400 1000 400 85 28190 38.04 0.1%
400 1000 400 86 28180 49.89 0.1%
400 1000 400 87 28110 33.86 0.1%
400 1000 400 88 28290 53.41 0.1%
400 1000 400 89 28190 67.94 0.2%
400 1000 400 90 28150 41.5 0.1%
400 1000 400 91 28100 41 0.1%
400 1000 400 92 28240 42.7 0.1%
400 1000 400 93 28100 31.79 0.1%
400 1000 400 94 28250 43.09 0.1%
400 1000 400 95 28220 61 0.2%
400 1000 400 96 28130 33.46 0.1%
400 1000 400 97 28130 57.52 0.2%
400 1000 400 98 28180 19.6 0.0%
400 1000 400 99 28240 28.9 0.1%
400 1000 400 100 28100 50.46 0.1%

Quality and confidence:
param error
v 0.048
n 0.019
a 0.048
w 0.1

Model:
Time ~= 0
+ v 0.729
+ n 0.341
+ a 68.49
+ w 6.236
µs

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

[shawntabrizi]

/benchmark runtime kusama pallet_staking

[parity-benchapp]

Finished benchmark for branch: shawntabrizi-weights-for-kick

Benchmark: Benchmark Runtime Kusama Pallet

cargo run --release --features=runtime-benchmarks -- benchmark --chain=kusama-dev --steps=50 --repeat=20 --pallet=pallet_staking --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --header=./file_header.txt --output=./runtime/kusama/src/weights/

Results

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

-- Extrinsic Time --

Model:
Time ~= 71.43
µs

Reads = 5
Writes = 4
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 71.43
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 ~= 58.13
µs

Reads = 4
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 58.13
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 ~= 53.45
µs

Reads = 5
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 53.45
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 ~= 54.04
+ s 0.031
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 53.05 0.143 0.2%
2 53.52 0.133 0.2%
4 53.76 0.107 0.1%
6 54.27 0.165 0.3%
8 53.97 0.17 0.3%
10 54.02 0.128 0.2%
12 54.03 0.117 0.2%
14 54.97 0.152 0.2%
16 54.64 0.148 0.2%
18 54.38 0.199 0.3%
20 54.77 0.077 0.1%
22 54.51 0.179 0.3%
24 54.69 0.099 0.1%
26 54.43 0.092 0.1%
28 55.34 0.119 0.2%
30 55.2 0.132 0.2%
32 55.23 0.108 0.1%
34 55.52 0.1 0.1%
36 55.52 0.159 0.2%
38 55.78 0.214 0.3%
40 55.35 0.13 0.2%
42 55.38 0.137 0.2%
44 55.33 0.166 0.3%
46 55.61 0.122 0.2%
48 55.71 0.154 0.2%
50 55.71 0.108 0.1%
52 55.64 0.102 0.1%
54 56.13 0.159 0.2%
56 56.11 0.232 0.4%
58 55.71 0.146 0.2%
60 55.75 0.161 0.2%
62 55.97 0.103 0.1%
64 56.67 0.192 0.3%
66 56.5 0.161 0.2%
68 56.29 0.09 0.1%
70 56.4 0.098 0.1%
72 56.43 0.144 0.2%
74 56.48 0.173 0.3%
76 56.88 0.137 0.2%
78 56.65 0.186 0.3%
80 56.41 0.15 0.2%
82 56.63 0.124 0.2%
84 56.6 0.188 0.3%
86 56.08 0.101 0.1%
88 56.41 0.184 0.3%
90 56.16 0.159 0.2%
92 56.67 0.16 0.2%
94 56.76 0.165 0.2%
96 56.87 0.129 0.2%
98 56.72 0.121 0.2%
100 57.15 0.147 0.2%

Quality and confidence:
param error
s 0

Model:
Time ~= 53.99
+ s 0.032
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 ~= 85.12
+ s 2.389
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 80.98 0.277 0.3%
2 89.46 0.17 0.1%
4 94.81 0.151 0.1%
6 98.51 0.19 0.1%
8 103.6 0.225 0.2%
10 109.3 0.18 0.1%
12 114.1 0.191 0.1%
14 119.4 0.166 0.1%
16 123.4 0.348 0.2%
18 127.8 0.167 0.1%
20 132.8 0.189 0.1%
22 137.8 0.32 0.2%
24 143.6 0.332 0.2%
26 147.5 0.226 0.1%
28 152.7 0.256 0.1%
30 157.4 0.152 0.0%
32 161.2 0.241 0.1%
34 166 0.232 0.1%
36 171.2 0.145 0.0%
38 175.4 0.261 0.1%
40 180.4 0.345 0.1%
42 185.8 0.214 0.1%
44 190.2 0.269 0.1%
46 194.8 0.308 0.1%
48 200.2 0.385 0.1%
50 204.6 0.228 0.1%
52 209.3 0.36 0.1%
54 213.6 0.365 0.1%
56 218.8 0.911 0.4%
58 223.1 0.533 0.2%
60 228.2 0.244 0.1%
62 233.1 0.24 0.1%
64 237.4 0.427 0.1%
66 242.2 0.413 0.1%
68 247.8 0.671 0.2%
70 251.2 0.429 0.1%
72 256.9 0.181 0.0%
74 261.5 0.45 0.1%
76 266.5 0.5 0.1%
78 270.9 0.637 0.2%
80 275.4 0.493 0.1%
82 281.2 0.704 0.2%
84 284.9 0.37 0.1%
86 290.3 1.076 0.3%
88 295.7 1.462 0.4%
90 298.5 0.463 0.1%
92 305.9 0.551 0.1%
94 311.3 0.516 0.1%
96 316.1 0.627 0.1%
98 319.6 0.565 0.1%
100 324.6 0.966 0.2%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 84.77
+ s 2.395
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 ~= 17.88
µs

Reads = 2
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 17.88
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 ~= 16.41
+ k 17.28
µs

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

-- Extrinsic Time --

Data points distribution:
k mean µs sigma µs %
1 41.72 0.203 0.4%
3 76.4 0.115 0.1%
5 109.5 0.214 0.1%
7 143.4 0.284 0.1%
9 177.1 0.298 0.1%
11 210.6 0.287 0.1%
13 243.5 0.394 0.1%
15 275.8 0.291 0.1%
17 311 0.44 0.1%
19 347.1 0.409 0.1%
21 378.2 0.591 0.1%
23 415 1.072 0.2%
25 445.4 0.524 0.1%
27 480 0.765 0.1%
29 514.1 1.492 0.2%
31 547 0.819 0.1%
33 580.2 1.557 0.2%
35 614.3 0.725 0.1%
37 652.1 1.026 0.1%
39 683.2 0.861 0.1%
41 718.5 0.929 0.1%
43 751.7 4.301 0.5%
45 811.6 17.79 2.1%
47 826.5 2.367 0.2%
49 860.2 1.897 0.2%
51 899 10.64 1.1%
53 928.1 2.753 0.2%
55 964.8 1.335 0.1%
57 1001 1.962 0.1%
59 1034 2.357 0.2%
61 1062 1.569 0.1%
63 1095 1.975 0.1%
65 1142 8.867 0.7%
67 1177 11.6 0.9%
69 1209 3.091 0.2%
71 1240 1.518 0.1%
73 1278 7.897 0.6%
75 1307 2.213 0.1%
77 1339 2.834 0.2%
79 1373 1.133 0.0%
81 1420 14.24 1.0%
83 1445 2.527 0.1%
85 1482 2.265 0.1%
87 1516 8.098 0.5%
89 1548 3.667 0.2%
91 1581 2.619 0.1%
93 1614 3.748 0.2%
95 1652 5.455 0.3%
97 1700 11.05 0.6%
99 1722 1.735 0.1%
101 1755 2.573 0.1%
103 1801 5.077 0.2%
105 1845 12.92 0.7%
107 1881 13.15 0.6%
109 1913 11.42 0.5%
111 1944 12.42 0.6%
113 1990 11.86 0.5%
115 2023 12.75 0.6%
117 2054 4.141 0.2%
119 2093 14.33 0.6%
121 2117 11.02 0.5%
123 2162 14.52 0.6%
125 2196 11.29 0.5%
127 2224 8.9 0.4%

Quality and confidence:
param error
k 0.011

Model:
Time ~= 12.61
+ k 17.37
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 ~= 27.14
+ n 5.466
µs

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

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 31.8 0.102 0.3%
2 38.26 0.074 0.1%
3 43.71 0.205 0.4%
4 48.61 0.158 0.3%
5 54.68 0.077 0.1%
6 60.35 0.199 0.3%
7 65.34 0.098 0.1%
8 69.79 0.202 0.2%
9 76.12 0.207 0.2%
10 82.02 0.102 0.1%
11 88.09 0.357 0.4%
12 93.77 0.196 0.2%
13 97.56 0.132 0.1%
14 103.5 0.285 0.2%
15 108.8 0.308 0.2%
16 113.9 0.225 0.1%

Quality and confidence:
param error
n 0.01

Model:
Time ~= 27.06
+ n 5.466
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 ~= 17.32
µs

Reads = 2
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 17.32
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 ~= 11.93
µs

Reads = 1
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 11.93
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 ~= 25.52
µs

Reads = 3
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 25.52
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 ~= 2.178
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.178
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 ~= 2.393
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.393
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 ~= 2.353
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.353
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 ~= 2.34
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.34
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 ~= 2.424
+ v 0.008
µs

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

-- Extrinsic Time --

Data points distribution:
v mean µs sigma µs %
0 2.441 0.019 0.7%
20 2.724 0.028 1.0%
40 2.89 0.027 0.9%
60 3.036 0.017 0.5%
80 3.195 0.029 0.9%
100 3.392 0.01 0.2%
120 3.559 0.015 0.4%
140 3.731 0.024 0.6%
160 3.895 0.016 0.4%
180 4.042 0.024 0.5%
200 4.22 0.017 0.4%
220 4.308 0.026 0.6%
240 4.49 0.011 0.2%
260 4.734 0.019 0.4%
280 4.843 0.02 0.4%
300 5.018 0.01 0.1%
320 5.219 0.019 0.3%
340 5.386 0.012 0.2%
360 5.506 0.032 0.5%
380 5.67 0.023 0.4%
400 5.859 0.018 0.3%
420 6.002 0.016 0.2%
440 6.135 0.015 0.2%
460 6.328 0.029 0.4%
480 6.518 0.017 0.2%
500 6.695 0.021 0.3%
520 6.931 0.017 0.2%
540 7.089 0.021 0.2%
560 7.302 0.023 0.3%
580 7.488 0.017 0.2%
600 7.609 0.013 0.1%
620 7.807 0.021 0.2%
640 8.136 0.029 0.3%
660 8.317 0.038 0.4%
680 8.481 0.022 0.2%
700 8.641 0.021 0.2%
720 8.791 0.041 0.4%
740 8.953 0.04 0.4%
760 9.074 0.033 0.3%
780 9.357 0.033 0.3%
800 9.503 0.032 0.3%
820 9.67 0.031 0.3%
840 9.848 0.02 0.2%
860 10.04 0.026 0.2%
880 10.19 0.031 0.3%
900 10.5 0.032 0.3%
920 10.63 0.022 0.2%
940 10.77 0.013 0.1%
960 10.95 0.021 0.1%
980 11.11 0.03 0.2%
1000 11.31 0.037 0.3%

Quality and confidence:
param error
v 0

Model:
Time ~= 2.414
+ v 0.009
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 ~= 56.99
+ s 2.385
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 52.49 0.091 0.1%
2 60.58 0.109 0.1%
4 66.22 0.119 0.1%
6 71.34 0.092 0.1%
8 76.12 0.13 0.1%
10 80.71 0.114 0.1%
12 86.01 0.128 0.1%
14 90.71 0.118 0.1%
16 95.42 0.146 0.1%
18 99.98 0.128 0.1%
20 104.6 0.201 0.1%
22 109.9 0.204 0.1%
24 114.9 0.084 0.0%
26 119.6 0.15 0.1%
28 124.1 0.147 0.1%
30 129 0.211 0.1%
32 133.6 0.206 0.1%
34 138.2 0.215 0.1%
36 142.7 0.135 0.0%
38 147.3 0.123 0.0%
40 152.6 0.177 0.1%
42 157.3 0.239 0.1%
44 161.9 0.224 0.1%
46 166.5 0.371 0.2%
48 171.7 0.29 0.1%
50 176 0.265 0.1%
52 180.4 0.28 0.1%
54 185.2 0.462 0.2%
56 190.3 0.301 0.1%
58 194.9 0.523 0.2%
60 199.8 0.511 0.2%
62 205.2 1.54 0.7%
64 209.5 0.552 0.2%
66 214.2 0.689 0.3%
68 219 0.373 0.1%
70 223.1 0.323 0.1%
72 228.3 0.616 0.2%
74 233.1 0.441 0.1%
76 237 0.368 0.1%
78 242.3 0.566 0.2%
80 247.3 0.44 0.1%
82 252.4 0.517 0.2%
84 256.5 0.462 0.1%
86 261.6 0.737 0.2%
88 266.7 0.526 0.1%
90 271.2 0.352 0.1%
92 277.1 0.433 0.1%
94 282.7 1.088 0.3%
96 287.4 0.667 0.2%
98 292.3 0.509 0.1%
100 296.8 0.541 0.1%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 56.56
+ s 2.393
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 ~= 6731
+ s 34.67
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 397 2.891 0.7%
20 1694 9.74 0.5%
39 2970 13.37 0.4%
58 4222 4.461 0.1%
77 5442 6.612 0.1%
96 6649 10.96 0.1%
115 7803 10.35 0.1%
134 9044 58.69 0.6%
153 10070 3.699 0.0%
172 11170 11 0.0%
191 12240 18.83 0.1%
210 13310 12.21 0.0%
229 14330 15.05 0.1%
248 15340 15.63 0.1%
267 16310 13.16 0.0%
286 17250 17.87 0.1%
305 18190 26.17 0.1%
324 19090 25.36 0.1%
343 19930 14.74 0.0%
362 20790 17.31 0.0%
381 21600 17.69 0.0%
400 22700 107.3 0.4%
419 23170 13.09 0.0%
438 23970 26.91 0.1%
457 24680 18.89 0.0%
476 25390 21.76 0.0%
495 26060 22.2 0.0%
514 26810 156.3 0.5%
533 27310 31.23 0.1%
552 27900 15.87 0.0%
571 28470 15.78 0.0%
590 28990 28.56 0.0%
609 29540 25.03 0.0%
628 30020 16.63 0.0%
647 30490 15.54 0.0%
666 30960 25.71 0.0%
685 31370 24.08 0.0%
704 31770 22.89 0.0%
723 32170 17.85 0.0%
742 32510 27.54 0.0%
761 32830 22.02 0.0%
780 33150 21.27 0.0%
799 33420 15.6 0.0%
818 33650 21.49 0.0%
837 33870 21.19 0.0%
856 34060 26.78 0.0%
875 34250 27.55 0.0%
894 34390 29.32 0.0%
913 34550 35.46 0.1%
932 34640 30.91 0.0%
951 34710 23.48 0.0%
970 34770 22 0.0%
989 34800 28.6 0.0%

Quality and confidence:
param error
s 0.392

Model:
Time ~= 5903
+ s 34.78
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 ~= 113.4
+ n 47.6
µs

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

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 150.1 0.514 0.3%
3 247.6 1.77 0.7%
5 348.5 1.802 0.5%
7 441.6 2.715 0.6%
9 533.7 0.714 0.1%
11 628.6 0.88 0.1%
13 723.8 1.232 0.1%
15 827 1.072 0.1%
17 926.3 11.81 1.2%
19 1011 1.842 0.1%
21 1112 2.234 0.2%
23 1207 10.77 0.8%
25 1307 10.56 0.8%
27 1401 8.332 0.5%
29 1491 6.901 0.4%
31 1580 4.199 0.2%
33 1686 11 0.6%
35 1796 9.238 0.5%
37 1891 15.9 0.8%
39 1975 13.06 0.6%
41 2077 13.95 0.6%
43 2173 13.93 0.6%
45 2263 17.64 0.7%
47 2346 8.682 0.3%
49 2464 8.687 0.3%
51 2541 6.456 0.2%
53 2632 10.44 0.3%
55 2735 11.97 0.4%
57 2879 15.55 0.5%
59 2939 9.685 0.3%
61 3019 8.426 0.2%
63 3116 13.84 0.4%
65 3219 7.037 0.2%
67 3303 11.83 0.3%
69 3403 13.43 0.3%
71 3513 9.116 0.2%
73 3605 10.36 0.2%
75 3691 9.208 0.2%
77 3802 13.42 0.3%
79 3864 9.885 0.2%
81 3960 9.63 0.2%
83 4073 6.595 0.1%
85 4186 8.405 0.2%
87 4266 12.7 0.2%
89 4370 9.901 0.2%
91 4450 11.31 0.2%
93 4538 6.246 0.1%
95 4626 6.238 0.1%
97 4723 12.19 0.2%
99 4837 9.18 0.1%
101 4933 8.043 0.1%
103 5013 9.703 0.1%
105 5131 12.27 0.2%
107 5185 6.759 0.1%
109 5299 6.577 0.1%
111 5399 14.71 0.2%
113 5501 16.29 0.2%
115 5610 11.75 0.2%
117 5716 17.35 0.3%
119 5782 6.391 0.1%
121 5855 5.882 0.1%
123 5933 7.321 0.1%
125 6072 12.46 0.2%
127 6123 10.67 0.1%

Quality and confidence:
param error
n 0.018

Model:
Time ~= 115.8
+ n 47.62
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 ~= 136.3
+ n 61.1
µs

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

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 189.5 0.816 0.4%
3 315.9 0.862 0.2%
5 436.4 0.464 0.1%
7 556.7 1.248 0.2%
9 687.9 1.211 0.1%
11 803.7 1.984 0.2%
13 932.3 4.113 0.4%
15 1054 6.803 0.6%
17 1169 2.725 0.2%
19 1300 8.715 0.6%
21 1434 9.199 0.6%
23 1547 7.548 0.4%
25 1678 15.14 0.9%
27 1813 10.74 0.5%
29 1907 3.469 0.1%
31 2038 12.5 0.6%
33 2169 8.868 0.4%
35 2270 10.48 0.4%
37 2391 9.463 0.3%
39 2510 7.058 0.2%
41 2641 7.672 0.2%
43 2773 10.62 0.3%
45 2896 11.82 0.4%
47 3019 12.51 0.4%
49 3130 8.789 0.2%
51 3248 8.379 0.2%
53 3374 10.53 0.3%
55 3500 10.48 0.2%
57 3612 8.179 0.2%
59 3707 5.689 0.1%
61 3874 11.58 0.2%
63 4000 18.11 0.4%
65 4167 44.78 1.0%
67 4242 9.372 0.2%
69 4355 14.11 0.3%
71 4463 8.727 0.1%
73 4578 8.39 0.1%
75 4720 6.856 0.1%
77 4832 10.96 0.2%
79 4962 11.84 0.2%
81 5086 10.01 0.1%
83 5198 8.426 0.1%
85 5330 12.18 0.2%
87 5470 16.56 0.3%
89 5599 6.451 0.1%
91 5704 6.574 0.1%
93 5819 6.661 0.1%
95 5966 9.562 0.1%
97 6099 15.9 0.2%
99 6212 9.386 0.1%
101 6325 14.51 0.2%
103 6411 15.89 0.2%
105 6550 13.18 0.2%
107 6697 13.38 0.1%
109 6794 11.49 0.1%
111 6910 8.589 0.1%
113 7060 13.14 0.1%
115 7137 11.63 0.1%
117 7295 14.63 0.2%
119 7385 14.16 0.1%
121 7506 11.73 0.1%
123 7677 13.73 0.1%
125 7775 10.55 0.1%
127 7900 7.401 0.0%

Quality and confidence:
param error
n 0.02

Model:
Time ~= 138.3
+ n 61.12
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 ~= 36.75
+ 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 36.96 0.142 0.3%
2 36.83 0.073 0.1%
3 36.64 0.089 0.2%
4 36.64 0.11 0.3%
5 37.1 0.072 0.1%
6 36.94 0.072 0.1%
7 37.08 0.083 0.2%
8 37.14 0.063 0.1%
9 37.54 0.055 0.1%
10 37.54 0.073 0.1%
11 37.44 0.089 0.2%
12 38.02 0.103 0.2%
13 37.98 0.078 0.2%
14 37.99 0.068 0.1%
15 37.87 0.052 0.1%
16 38.18 0.059 0.1%
17 38.6 0.103 0.2%
18 38.63 0.065 0.1%
19 38.62 0.074 0.1%
20 38.62 0.09 0.2%
21 38.61 0.054 0.1%
22 38.86 0.081 0.2%
23 38.69 0.074 0.1%
24 38.65 0.095 0.2%
25 38.8 0.097 0.2%
26 38.92 0.083 0.2%
27 38.78 0.136 0.3%
28 38.84 0.079 0.2%
29 38.87 0.066 0.1%
30 38.91 0.048 0.1%
31 38.88 0.084 0.2%
32 38.95 0.082 0.2%

Quality and confidence:
param error
l 0.001

Model:
Time ~= 36.73
+ l 0.081
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 30.64
µs

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

-- Extrinsic Time --

Data points distribution:
e mean µs sigma µs %
1 36.43 0.311 0.8%
2 60.31 0.135 0.2%
3 82.38 0.166 0.2%
4 107.5 0.123 0.1%
5 128.8 0.241 0.1%
6 152.3 0.261 0.1%
7 177.1 0.331 0.1%
8 200.5 1.609 0.8%
9 221.1 0.463 0.2%
10 247.3 0.312 0.1%
11 270 0.362 0.1%
12 295.5 0.518 0.1%
13 318.6 0.261 0.0%
14 345.8 0.839 0.2%
15 367.9 0.591 0.1%
16 392.8 0.932 0.2%
17 421.7 0.749 0.1%
18 443.7 0.788 0.1%
19 468.9 1.35 0.2%
20 494.4 0.443 0.0%
21 519.1 1.553 0.2%
22 549.5 3.154 0.5%
23 570.4 1.193 0.2%
24 601.5 1.862 0.3%
25 628.8 2.077 0.3%
26 651.6 0.725 0.1%
27 680.7 0.703 0.1%
28 710.8 1.702 0.2%
29 738.7 1.104 0.1%
30 763.9 0.798 0.1%
31 787.8 1.146 0.1%
32 819.6 1.764 0.2%
33 843.3 1.55 0.1%
34 876.4 5.473 0.6%
35 900.5 9.244 1.0%
36 934.1 1.887 0.2%
37 959.1 4.012 0.4%
38 976.5 1.36 0.1%
39 1021 4.18 0.4%
40 1038 2.894 0.2%
41 1071 2.262 0.2%
42 1093 2.943 0.2%
43 1129 1.923 0.1%
44 1148 1.919 0.1%
45 1184 2.842 0.2%
46 1223 2.186 0.1%
47 1243 1.573 0.1%
48 1286 4.293 0.3%
49 1314 11.11 0.8%
50 1336 3.004 0.2%
51 1399 7.396 0.5%
52 1407 1.953 0.1%
53 1424 3.09 0.2%
54 1474 1.881 0.1%
55 1501 1.984 0.1%
56 1522 10.66 0.7%
57 1562 4.743 0.3%
58 1582 4.637 0.2%
59 1633 9.067 0.5%
60 1663 7.999 0.4%
61 1684 9.106 0.5%
62 1728 9.364 0.5%
63 1765 13.36 0.7%
64 1797 12.66 0.7%
65 1872 9.979 0.5%
66 1889 6.458 0.3%
67 1929 7.91 0.4%
68 1957 4.825 0.2%
69 1963 8.028 0.4%
70 1963 7.624 0.3%
71 2008 5.656 0.2%
72 2054 7.754 0.3%
73 2085 4.566 0.2%
74 2125 11.31 0.5%
75 2170 10.52 0.4%
76 2195 8.917 0.4%
77 2238 9.048 0.4%
78 2267 10.88 0.4%
79 2313 8.883 0.3%
80 2338 11.76 0.5%
81 2346 8.863 0.3%
82 2406 12.45 0.5%
83 2446 11.25 0.4%
84 2453 8.47 0.3%
85 2495 7.634 0.3%
86 2553 5.429 0.2%
87 2599 9.876 0.3%
88 2621 5.646 0.2%
89 2675 11.11 0.4%
90 2681 14.92 0.5%
91 2741 13.1 0.4%
92 2756 11.9 0.4%
93 2790 12.85 0.4%
94 2851 11.76 0.4%
95 2899 8.09 0.2%
96 2928 13.25 0.4%
97 2950 8.648 0.2%
98 2988 6.401 0.2%
99 3027 8.336 0.2%
100 3094 8.161 0.2%

Quality and confidence:
param error
e 0.066

Model:
Time ~= 0
+ e 30.73
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 ~= 59.68
+ s 2.376
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 61.09 0.118 0.1%
2 63.33 0.102 0.1%
3 65.62 0.088 0.1%
4 69.04 0.105 0.1%
5 71.2 0.096 0.1%
6 73.7 0.053 0.0%
7 76.37 0.171 0.2%
8 78.63 0.173 0.2%
9 80.82 0.218 0.2%
10 83.34 0.18 0.2%
11 85.7 0.144 0.1%
12 88.26 0.191 0.2%
13 91.24 0.225 0.2%
14 93.05 0.136 0.1%
15 95.33 0.119 0.1%
16 97.92 0.102 0.1%
17 100.5 0.133 0.1%
18 102.6 0.119 0.1%
19 105.2 0.167 0.1%
20 107.1 0.109 0.1%
21 109.8 0.111 0.1%
22 111.9 0.214 0.1%
23 114.5 0.13 0.1%
24 117.1 0.193 0.1%
25 119.6 0.308 0.2%
26 121.8 0.212 0.1%
27 124.3 0.306 0.2%
28 126.5 0.264 0.2%
29 129.2 0.119 0.0%
30 131.4 0.239 0.1%
31 133.6 0.156 0.1%
32 136 0.222 0.1%
33 138.1 0.159 0.1%
34 140.5 0.231 0.1%
35 142.7 0.209 0.1%
36 145.3 0.241 0.1%
37 147.4 0.134 0.0%
38 150 0.321 0.2%
39 152.6 0.236 0.1%
40 154.8 0.219 0.1%
41 157.4 0.227 0.1%
42 159.5 0.125 0.0%
43 161.3 0.123 0.0%
44 164.3 0.272 0.1%
45 166.3 0.246 0.1%
46 169.1 0.29 0.1%
47 171.1 0.17 0.0%
48 173.6 0.21 0.1%
49 175.8 0.336 0.1%
50 178.2 0.223 0.1%
51 179.6 0.237 0.1%
52 182.6 0.321 0.1%
53 185.1 0.24 0.1%
54 187.4 0.267 0.1%
55 190.2 0.245 0.1%
56 193 0.222 0.1%
57 195.3 0.406 0.2%
58 197.4 0.94 0.4%
59 199.9 0.312 0.1%
60 201.2 0.246 0.1%
61 204.9 0.339 0.1%
62 207.3 0.274 0.1%
63 209.6 0.299 0.1%
64 211.9 0.562 0.2%
65 214.4 0.812 0.3%
66 216.8 0.43 0.1%
67 219.2 0.221 0.1%
68 221.5 0.466 0.2%
69 224 0.357 0.1%
70 226.1 0.447 0.1%
71 228.4 0.452 0.1%
72 230.4 0.31 0.1%
73 232.7 0.363 0.1%
74 235.6 0.473 0.2%
75 237.9 0.502 0.2%
76 239.9 0.392 0.1%
77 242.1 0.424 0.1%
78 244.4 0.453 0.1%
79 247 0.498 0.2%
80 249.4 0.597 0.2%
81 251.6 0.583 0.2%
82 253.7 0.344 0.1%
83 256.6 0.349 0.1%
84 258.2 0.249 0.0%
85 261.1 0.593 0.2%
86 264.1 2.006 0.7%
87 266 0.454 0.1%
88 267.8 0.436 0.1%
89 270.3 0.998 0.3%
90 273 0.626 0.2%
91 275.7 0.418 0.1%
92 278.5 0.529 0.1%
93 280.8 0.457 0.1%
94 283.3 0.92 0.3%
95 284.4 0.383 0.1%
96 289.2 0.5 0.1%
97 292 0.329 0.1%
98 294 0.61 0.2%
99 296.8 0.572 0.1%
100 298.4 0.596 0.1%

Quality and confidence:
param error
s 0

Model:
Time ~= 59.59
+ s 2.378
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 537
+ n 77.83
µs

Reads = 7 + (4 * v) + (3 * n)
Writes = 8 + (3 * v) + (0 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v n mean µs sigma µs %
1 100 3493 8.961 0.2%
2 100 4023 8.494 0.2%
3 100 4494 11.66 0.2%
4 100 4921 15.45 0.3%
5 100 5515 27.74 0.5%
6 100 5986 12.4 0.2%
7 100 6513 16.79 0.2%
8 100 7070 10.52 0.1%
9 100 7749 8.324 0.1%
10 1 606.6 1.291 0.2%
10 2 690.2 10.77 1.5%
10 3 764.4 1.159 0.1%
10 4 839.3 2.182 0.2%
10 5 920.2 1.58 0.1%
10 6 992.9 1.884 0.1%
10 7 1070 1.593 0.1%
10 8 1167 12.62 1.0%
10 9 1232 1.678 0.1%
10 10 1313 8.619 0.6%
10 11 1390 8.076 0.5%
10 12 1475 11.35 0.7%
10 13 1541 9.799 0.6%
10 14 1610 1.221 0.0%
10 15 1693 9.894 0.5%
10 16 1771 10.61 0.5%
10 17 1861 15.76 0.8%
10 18 1923 12.13 0.6%
10 19 2006 9.56 0.4%
10 20 2099 15.46 0.7%
10 21 2172 11.19 0.5%
10 22 2253 12.13 0.5%
10 23 2360 2.493 0.1%
10 24 2402 11.81 0.4%
10 25 2489 12.9 0.5%
10 26 2564 9.653 0.3%
10 27 2645 15.35 0.5%
10 28 2716 10.83 0.3%
10 29 2796 18.18 0.6%
10 30 2876 10.63 0.3%
10 31 2951 16.42 0.5%
10 32 3031 13.4 0.4%
10 33 3123 4.187 0.1%
10 34 3182 14.76 0.4%
10 35 3255 17.76 0.5%
10 36 3330 15.5 0.4%
10 37 3415 14.15 0.4%
10 38 3484 13.22 0.3%
10 39 3595 12.11 0.3%
10 40 3673 17.06 0.4%
10 41 3744 12.76 0.3%
10 42 3821 11.12 0.2%
10 43 3897 8.359 0.2%
10 44 3979 16.07 0.4%
10 45 4063 11.81 0.2%
10 46 4103 13.15 0.3%
10 47 4183 13.38 0.3%
10 48 4260 10.44 0.2%
10 49 4352 9.284 0.2%
10 50 4435 4.769 0.1%
10 51 4507 8.937 0.1%
10 52 4553 9.58 0.2%
10 53 4631 4.249 0.0%
10 54 4687 4.838 0.1%
10 55 4798 6.625 0.1%
10 56 4883 7.053 0.1%
10 57 4964 9.745 0.1%
10 58 5029 10.26 0.2%
10 59 5115 11.33 0.2%
10 60 5207 7.36 0.1%
10 61 5256 6.87 0.1%
10 62 5344 13.82 0.2%
10 63 5415 5.827 0.1%
10 64 5528 5.575 0.1%
10 65 5598 4.933 0.0%
10 66 5683 3.643 0.0%
10 67 5762 11.15 0.1%
10 68 5820 8.983 0.1%
10 69 5904 13.09 0.2%
10 70 5975 9.23 0.1%
10 71 6066 18.8 0.3%
10 72 6132 10.17 0.1%
10 73 6210 7.649 0.1%
10 74 6284 13.57 0.2%
10 75 6363 11.55 0.1%
10 76 6430 7.708 0.1%
10 77 6504 9.471 0.1%
10 78 6582 14.12 0.2%
10 79 6774 19.08 0.2%
10 80 6785 10.41 0.1%
10 81 6873 8.6 0.1%
10 82 6954 6.602 0.0%
10 83 7029 18.14 0.2%
10 84 7109 19.88 0.2%
10 85 7173 18.63 0.2%
10 86 7260 10.57 0.1%
10 87 7315 7.062 0.0%
10 88 7390 13.29 0.1%
10 89 7481 13.76 0.1%
10 90 7536 12.65 0.1%
10 91 7604 13.61 0.1%
10 92 7700 14.13 0.1%
10 93 7743 9.633 0.1%
10 94 7880 8.605 0.1%
10 95 7916 16.14 0.2%
10 96 8040 40.88 0.5%
10 97 8056 11.98 0.1%
10 98 8126 11.34 0.1%
10 99 8247 17.78 0.2%
10 100 8333 9.839 0.1%

Quality and confidence:
param error
v 0.789
n 0.039

Model:
Time ~= 0
+ v 548.8
+ n 77.71
µs

Reads = 7 + (4 * v) + (3 * n)
Writes = 8 + (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 1.732
+ n 0.45
+ a 69.29
+ w 8.255
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 28370 40.92 0.1%
204 1000 400 100 28390 28.41 0.1%
208 1000 400 100 28450 26.47 0.0%
212 1000 400 100 28510 19.84 0.0%
216 1000 400 100 28520 23.74 0.0%
220 1000 400 100 28540 49.2 0.1%
224 1000 400 100 28500 36.07 0.1%
228 1000 400 100 28590 52.31 0.1%
232 1000 400 100 28510 45.18 0.1%
236 1000 400 100 28590 44.44 0.1%
240 1000 400 100 28460 35.14 0.1%
244 1000 400 100 28440 45.45 0.1%
248 1000 400 100 28530 36.67 0.1%
252 1000 400 100 28650 61.83 0.2%
256 1000 400 100 28420 40.13 0.1%
260 1000 400 100 28630 40.28 0.1%
264 1000 400 100 28640 36.91 0.1%
268 1000 400 100 28670 50.78 0.1%
272 1000 400 100 28620 61.06 0.2%
276 1000 400 100 28700 58.28 0.2%
280 1000 400 100 28570 38.12 0.1%
284 1000 400 100 28590 44.75 0.1%
288 1000 400 100 28490 62.84 0.2%
292 1000 400 100 28640 64.69 0.2%
296 1000 400 100 28640 37.91 0.1%
300 1000 400 100 28610 31.04 0.1%
304 1000 400 100 28710 34.66 0.1%
308 1000 400 100 28600 72.67 0.2%
312 1000 400 100 28790 40.35 0.1%
316 1000 400 100 28730 45.98 0.1%
320 1000 400 100 28780 40.21 0.1%
324 1000 400 100 28640 52.15 0.1%
328 1000 400 100 28780 38.19 0.1%
332 1000 400 100 28690 53.78 0.1%
336 1000 400 100 28640 32.55 0.1%
340 1000 400 100 28760 51.17 0.1%
344 1000 400 100 28740 31.59 0.1%
348 1000 400 100 28680 50.55 0.1%
352 1000 400 100 28630 40.49 0.1%
356 1000 400 100 28720 29.89 0.1%
360 1000 400 100 28770 24.16 0.0%
364 1000 400 100 28790 41.97 0.1%
368 1000 400 100 28740 72.64 0.2%
372 1000 400 100 28740 37.48 0.1%
376 1000 400 100 28630 24.35 0.0%
380 1000 400 100 28770 37.86 0.1%
384 1000 400 100 28760 50.41 0.1%
388 1000 400 100 28890 40.62 0.1%
392 1000 400 100 28860 55.8 0.1%
396 1000 400 100 28770 27.99 0.0%
400 500 400 100 28370 35.06 0.1%
400 510 400 100 28590 40.1 0.1%
400 520 400 100 28540 15.95 0.0%
400 530 400 100 28550 28.24 0.0%
400 540 400 100 28560 31.65 0.1%
400 550 400 100 28510 27.47 0.0%
400 560 400 100 28520 52.89 0.1%
400 570 400 100 28420 44.57 0.1%
400 580 400 100 28440 38.07 0.1%
400 590 400 100 28480 49.65 0.1%
400 600 400 100 28620 58.03 0.2%
400 610 400 100 28600 63.6 0.2%
400 620 400 100 28550 44.77 0.1%
400 630 400 100 28640 43.74 0.1%
400 640 400 100 28650 77.04 0.2%
400 650 400 100 28610 41.94 0.1%
400 660 400 100 28660 22.69 0.0%
400 670 400 100 28600 48.58 0.1%
400 680 400 100 28480 37.97 0.1%
400 690 400 100 28630 17.45 0.0%
400 700 400 100 28620 68.11 0.2%
400 710 400 100 28600 41.15 0.1%
400 720 400 100 28570 45.41 0.1%
400 730 400 100 28510 43.98 0.1%
400 740 400 100 28560 45.62 0.1%
400 750 400 100 28670 46.57 0.1%
400 760 400 100 28720 30.29 0.1%
400 770 400 100 28470 43.31 0.1%
400 780 400 100 28690 51.74 0.1%
400 790 400 100 28580 50.36 0.1%
400 800 400 100 28490 36.69 0.1%
400 810 400 100 28690 30 0.1%
400 820 400 100 28630 40.59 0.1%
400 830 400 100 28750 37.98 0.1%
400 840 400 100 28730 55.73 0.1%
400 850 400 100 28650 35.16 0.1%
400 860 400 100 28660 51.78 0.1%
400 870 400 100 28540 58.62 0.2%
400 880 400 100 28680 52.54 0.1%
400 890 400 100 28640 61.38 0.2%
400 900 400 100 28540 36.19 0.1%
400 910 400 100 28770 83.31 0.2%
400 920 400 100 28700 33 0.1%
400 930 400 100 28650 29.05 0.1%
400 940 400 100 28760 60.5 0.2%
400 950 400 100 28660 54.44 0.1%
400 960 400 100 28730 47.9 0.1%
400 970 400 100 28680 47.04 0.1%
400 980 400 100 28700 44.42 0.1%
400 990 400 100 28660 74.54 0.2%
400 1000 200 100 14840 35.61 0.2%
400 1000 204 100 15140 12.01 0.0%
400 1000 208 100 15410 22.67 0.1%
400 1000 212 100 15710 11.76 0.0%
400 1000 216 100 16000 22.81 0.1%
400 1000 220 100 16250 18.14 0.1%
400 1000 224 100 16510 23.94 0.1%
400 1000 228 100 16810 23.79 0.1%
400 1000 232 100 17180 27.99 0.1%
400 1000 236 100 17490 31.95 0.1%
400 1000 240 100 17740 38.05 0.2%
400 1000 244 100 18000 29.76 0.1%
400 1000 248 100 18340 38.44 0.2%
400 1000 252 100 18550 18.99 0.1%
400 1000 256 100 18850 33.05 0.1%
400 1000 260 100 19130 32.85 0.1%
400 1000 264 100 19430 54.9 0.2%
400 1000 268 100 19690 16.38 0.0%
400 1000 272 100 19940 35.84 0.1%
400 1000 276 100 20250 18.48 0.0%
400 1000 280 100 20480 22.35 0.1%
400 1000 284 100 20750 30.62 0.1%
400 1000 288 100 21060 45.66 0.2%
400 1000 292 100 21350 29.6 0.1%
400 1000 296 100 21610 27.01 0.1%
400 1000 300 100 21850 27.07 0.1%
400 1000 304 100 22140 34.09 0.1%
400 1000 308 100 22380 34.3 0.1%
400 1000 312 100 22630 36.5 0.1%
400 1000 316 100 22950 35.05 0.1%
400 1000 320 100 23200 17.77 0.0%
400 1000 324 100 23490 45.27 0.1%
400 1000 328 100 23750 38.88 0.1%
400 1000 332 100 24060 30.64 0.1%
400 1000 336 100 24300 28.88 0.1%
400 1000 340 100 24640 39.42 0.1%
400 1000 344 100 24870 52.74 0.2%
400 1000 348 100 25160 58.16 0.2%
400 1000 352 100 25420 27.63 0.1%
400 1000 356 100 25660 31.59 0.1%
400 1000 360 100 25980 50.79 0.1%
400 1000 364 100 26220 60.37 0.2%
400 1000 368 100 26560 60.92 0.2%
400 1000 372 100 26790 41.55 0.1%
400 1000 376 100 27100 33.12 0.1%
400 1000 380 100 27370 40.34 0.1%
400 1000 384 100 27660 54.02 0.1%
400 1000 388 100 27970 41.92 0.1%
400 1000 392 100 28300 60.15 0.2%
400 1000 396 100 28540 52.37 0.1%
400 1000 400 16 28060 39.36 0.1%
400 1000 400 17 28150 54.42 0.1%
400 1000 400 18 28240 40.99 0.1%
400 1000 400 19 28260 59.77 0.2%
400 1000 400 20 28050 51.19 0.1%
400 1000 400 21 28090 68.5 0.2%
400 1000 400 22 28300 43.21 0.1%
400 1000 400 23 28300 56.23 0.1%
400 1000 400 24 28120 31.7 0.1%
400 1000 400 25 28190 68.81 0.2%
400 1000 400 26 28080 53.22 0.1%
400 1000 400 27 28070 54.59 0.1%
400 1000 400 28 28120 54.2 0.1%
400 1000 400 29 28190 51.54 0.1%
400 1000 400 30 28180 52.71 0.1%
400 1000 400 31 28160 54.18 0.1%
400 1000 400 32 28060 45.04 0.1%
400 1000 400 33 28260 43.4 0.1%
400 1000 400 34 28330 50.67 0.1%
400 1000 400 35 28220 56.36 0.1%
400 1000 400 36 28290 49.3 0.1%
400 1000 400 37 28130 43.92 0.1%
400 1000 400 38 28360 40.62 0.1%
400 1000 400 39 28170 34.37 0.1%
400 1000 400 40 28480 36.07 0.1%
400 1000 400 41 28160 21.5 0.0%
400 1000 400 42 28360 43.28 0.1%
400 1000 400 43 28460 26.62 0.0%
400 1000 400 44 28290 51.93 0.1%
400 1000 400 45 28380 32.11 0.1%
400 1000 400 46 28230 42.27 0.1%
400 1000 400 47 28340 71.6 0.2%
400 1000 400 48 28490 43.35 0.1%
400 1000 400 49 28480 74.15 0.2%
400 1000 400 50 28250 23.34 0.0%
400 1000 400 51 28430 36.42 0.1%
400 1000 400 52 28430 66.65 0.2%
400 1000 400 53 28390 46.79 0.1%
400 1000 400 54 28460 42.19 0.1%
400 1000 400 55 28460 26.13 0.0%
400 1000 400 56 28370 29.53 0.1%
400 1000 400 57 28230 57.26 0.2%
400 1000 400 58 28420 41.51 0.1%
400 1000 400 59 28340 54.3 0.1%
400 1000 400 60 28240 53.5 0.1%
400 1000 400 61 28270 78.13 0.2%
400 1000 400 62 28280 49.68 0.1%
400 1000 400 63 28550 27.06 0.0%
400 1000 400 64 28520 49.51 0.1%
400 1000 400 65 28550 53.86 0.1%
400 1000 400 66 28450 47.18 0.1%
400 1000 400 67 28460 43.39 0.1%
400 1000 400 68 28490 57.86 0.2%
400 1000 400 69 28550 42.57 0.1%
400 1000 400 70 28520 38.88 0.1%
400 1000 400 71 28400 25.66 0.0%
400 1000 400 72 28470 48.25 0.1%
400 1000 400 73 28600 31.27 0.1%
400 1000 400 74 28530 31.93 0.1%
400 1000 400 75 28500 68.3 0.2%
400 1000 400 76 28670 35.53 0.1%
400 1000 400 77 28680 45.71 0.1%
400 1000 400 78 28600 53.91 0.1%
400 1000 400 79 28730 23.69 0.0%
400 1000 400 80 28680 50.05 0.1%
400 1000 400 81 28770 35.45 0.1%
400 1000 400 82 28630 71.89 0.2%
400 1000 400 83 28770 46.51 0.1%
400 1000 400 84 28620 43.63 0.1%
400 1000 400 85 28710 30.84 0.1%
400 1000 400 86 28720 45.7 0.1%
400 1000 400 87 28690 57.16 0.1%
400 1000 400 88 28790 32.59 0.1%
400 1000 400 89 28780 45.48 0.1%
400 1000 400 90 28710 38.83 0.1%
400 1000 400 91 28740 35.66 0.1%
400 1000 400 92 28800 57.92 0.2%
400 1000 400 93 28510 19.3 0.0%
400 1000 400 94 28690 31.97 0.1%
400 1000 400 95 28660 43 0.1%
400 1000 400 96 28780 49.14 0.1%
400 1000 400 97 28610 64.72 0.2%
400 1000 400 98 28870 44.16 0.1%
400 1000 400 99 28680 68.2 0.2%
400 1000 400 100 28790 54.77 0.1%

Quality and confidence:
param error
v 0.043
n 0.017
a 0.043
w 0.09

Model:
Time ~= 0
+ v 1.426
+ n 0.588
+ a 69.23
+ w 8.062
µs

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

[shawntabrizi]

/benchmark runtime westend pallet_staking

[parity-benchapp]

Finished benchmark for branch: shawntabrizi-weights-for-kick

Benchmark: Benchmark Runtime Westend Pallet

cargo run --release --features=runtime-benchmarks -- benchmark --chain=westend-dev --steps=50 --repeat=20 --pallet=pallet_staking --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --header=./file_header.txt --output=./runtime/westend/src/weights/

Results

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

-- Extrinsic Time --

Model:
Time ~= 72.53
µs

Reads = 5
Writes = 4
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 72.53
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 ~= 59.15
µs

Reads = 4
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 59.15
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 ~= 54.5
µs

Reads = 5
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 54.5
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 ~= 54.9
+ s 0.037
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 54.22 0.162 0.2%
2 54.51 0.105 0.1%
4 54.83 0.072 0.1%
6 54.79 0.144 0.2%
8 54.98 0.086 0.1%
10 55.51 0.168 0.3%
12 55.21 0.153 0.2%
14 55.21 0.12 0.2%
16 55.45 0.151 0.2%
18 55.29 0.133 0.2%
20 56.03 0.143 0.2%
22 55.79 0.099 0.1%
24 55.48 0.142 0.2%
26 56 0.115 0.2%
28 55.87 0.136 0.2%
30 56.22 0.082 0.1%
32 56.53 0.104 0.1%
34 56.56 0.15 0.2%
36 56.68 0.185 0.3%
38 56.53 0.128 0.2%
40 56.88 0.152 0.2%
42 56.8 0.192 0.3%
44 56.78 0.172 0.3%
46 56.66 0.194 0.3%
48 56.9 0.141 0.2%
50 56.87 0.111 0.1%
52 56.49 0.101 0.1%
54 57.08 0.153 0.2%
56 57.25 0.137 0.2%
58 56.8 0.078 0.1%
60 57.41 0.205 0.3%
62 57.26 0.239 0.4%
64 56.98 0.144 0.2%
66 57.25 0.195 0.3%
68 57.27 0.121 0.2%
70 57.12 0.178 0.3%
72 57.59 0.159 0.2%
74 57.73 0.134 0.2%
76 57.83 0.12 0.2%
78 57.68 0.138 0.2%
80 57.87 0.19 0.3%
82 57.82 0.109 0.1%
84 58.02 0.072 0.1%
86 58.23 0.099 0.1%
88 58.11 0.205 0.3%
90 58.25 0.244 0.4%
92 58.41 0.407 0.6%
94 58.15 0.138 0.2%
96 58.28 0.14 0.2%
98 58.34 0.183 0.3%
100 58.14 0.09 0.1%

Quality and confidence:
param error
s 0

Model:
Time ~= 54.89
+ s 0.037
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 ~= 86.1
+ s 2.365
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 81.6 0.22 0.2%
2 90.55 0.136 0.1%
4 95.28 0.12 0.1%
6 99.96 0.118 0.1%
8 104.7 0.153 0.1%
10 109.8 0.17 0.1%
12 114.5 0.174 0.1%
14 119.1 0.197 0.1%
16 124.3 0.263 0.2%
18 128.7 0.181 0.1%
20 133.6 0.166 0.1%
22 138.1 0.188 0.1%
24 143.5 0.128 0.0%
26 148.3 0.213 0.1%
28 152.7 0.22 0.1%
30 157.7 0.232 0.1%
32 161.7 0.182 0.1%
34 166.9 0.211 0.1%
36 171.8 0.32 0.1%
38 175.8 0.226 0.1%
40 181.1 0.228 0.1%
42 185.9 0.291 0.1%
44 190.3 0.265 0.1%
46 195.5 0.214 0.1%
48 199.9 0.394 0.1%
50 204.3 0.308 0.1%
52 208.4 0.343 0.1%
54 213.7 0.411 0.1%
56 218.6 0.239 0.1%
58 222.9 0.333 0.1%
60 227.7 0.166 0.0%
62 233 0.311 0.1%
64 237.3 0.234 0.0%
66 242.2 0.409 0.1%
68 246.7 0.456 0.1%
70 251.4 0.271 0.1%
72 256.2 0.365 0.1%
74 260.7 0.32 0.1%
76 265.5 0.132 0.0%
78 272.2 4.357 1.6%
80 274.8 0.317 0.1%
82 279.5 0.335 0.1%
84 284.5 1.099 0.3%
86 289.6 1.063 0.3%
88 293.5 0.253 0.0%
90 296.9 0.249 0.0%
92 303.4 0.289 0.0%
94 308.9 0.506 0.1%
96 313.6 0.391 0.1%
98 319.9 0.917 0.2%
100 324.3 0.739 0.2%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 85.82
+ s 2.371
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 ~= 18.53
µs

Reads = 2
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 18.53
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 ~= 18.38
+ k 17.58
µs

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

-- Extrinsic Time --

Data points distribution:
k mean µs sigma µs %
1 42.48 0.113 0.2%
3 78.55 0.161 0.2%
5 112.5 0.126 0.1%
7 145.7 0.259 0.1%
9 179 0.269 0.1%
11 218.5 3.069 1.4%
13 253.5 0.582 0.2%
15 291.2 0.349 0.1%
17 324 0.738 0.2%
19 353.9 0.353 0.0%
21 388 0.889 0.2%
23 421.4 1.006 0.2%
25 454.2 0.824 0.1%
27 488.2 0.881 0.1%
29 525.1 0.923 0.1%
31 558.9 1.122 0.2%
33 592.6 1.568 0.2%
35 628.6 3.995 0.6%
37 659.6 0.979 0.1%
39 695.8 1.504 0.2%
41 734.6 3.965 0.5%
43 766.2 3.88 0.5%
45 810.3 9.697 1.1%
47 838.7 1.694 0.2%
49 870.5 1.924 0.2%
51 911.9 2.011 0.2%
53 944.1 1.175 0.1%
55 978.9 2.622 0.2%
57 1015 3.298 0.3%
59 1047 3.821 0.3%
61 1080 5.47 0.5%
63 1146 1.55 0.1%
65 1160 8.864 0.7%
67 1195 1.516 0.1%
69 1226 5.923 0.4%
71 1265 3.014 0.2%
73 1304 2.934 0.2%
75 1330 2.851 0.2%
77 1365 1.642 0.1%
79 1401 4.148 0.2%
81 1435 3.799 0.2%
83 1487 11.99 0.8%
85 1513 6.789 0.4%
87 1533 3.393 0.2%
89 1573 6.148 0.3%
91 1610 11.91 0.7%
93 1647 8.365 0.5%
95 1685 5.571 0.3%
97 1722 6.882 0.3%
99 1762 9.096 0.5%
101 1778 1.452 0.0%
103 1839 8.759 0.4%
105 1868 8.457 0.4%
107 1913 12.14 0.6%
109 1951 10.4 0.5%
111 1978 10.02 0.5%
113 2008 7.716 0.3%
115 2045 6.52 0.3%
117 2086 9.03 0.4%
119 2128 9.479 0.4%
121 2162 12.01 0.5%
123 2201 9.576 0.4%
125 2231 13.04 0.5%
127 2281 11.36 0.4%

Quality and confidence:
param error
k 0.011

Model:
Time ~= 14.58
+ k 17.65
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 ~= 28.3
+ n 5.718
µs

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

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 33.19 0.145 0.4%
2 39.87 0.173 0.4%
3 45.31 0.199 0.4%
4 51.13 0.103 0.2%
5 56.97 0.098 0.1%
6 63.08 0.181 0.2%
7 68.21 0.193 0.2%
8 73.28 0.164 0.2%
9 80.3 0.164 0.2%
10 85.78 0.267 0.3%
11 92.22 0.234 0.2%
12 97.48 0.348 0.3%
13 102.5 0.249 0.2%
14 107.5 0.338 0.3%
15 113.5 0.294 0.2%
16 119 0.334 0.2%

Quality and confidence:
param error
n 0.01

Model:
Time ~= 28.31
+ n 5.711
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 ~= 17.7
µs

Reads = 2
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 17.7
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 ~= 12.34
µs

Reads = 1
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 12.34
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 ~= 26.69
µs

Reads = 3
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 26.69
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 ~= 2.14
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.14
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 ~= 2.342
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.342
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 ~= 2.36
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.36
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 ~= 2.34
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.34
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 ~= 2.337
+ v 0.008
µs

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

-- Extrinsic Time --

Data points distribution:
v mean µs sigma µs %
0 2.353 0.02 0.8%
20 2.659 0.017 0.6%
40 2.805 0.018 0.6%
60 2.964 0.015 0.5%
80 3.102 0.015 0.4%
100 3.206 0.028 0.8%
120 3.383 0.018 0.5%
140 3.631 0.03 0.8%
160 3.817 0.026 0.6%
180 3.946 0.025 0.6%
200 4.07 0.028 0.6%
220 4.203 0.031 0.7%
240 4.366 0.02 0.4%
260 4.571 0.02 0.4%
280 4.757 0.027 0.5%
300 4.863 0.013 0.2%
320 4.985 0.018 0.3%
340 5.133 0.023 0.4%
360 5.274 0.021 0.3%
380 5.411 0.017 0.3%
400 5.609 0.016 0.2%
420 5.766 0.023 0.3%
440 5.889 0.027 0.4%
460 6.075 0.024 0.3%
480 6.211 0.026 0.4%
500 6.346 0.024 0.3%
520 6.653 0.031 0.4%
540 6.748 0.013 0.1%
560 6.952 0.037 0.5%
580 7.103 0.023 0.3%
600 7.309 0.022 0.3%
620 7.466 0.026 0.3%
640 7.795 0.014 0.1%
660 7.955 0.021 0.2%
680 8.139 0.036 0.4%
700 8.282 0.03 0.3%
720 8.444 0.025 0.2%
740 8.614 0.029 0.3%
760 8.795 0.018 0.2%
780 9.136 0.045 0.4%
800 9.228 0.023 0.2%
820 9.375 0.04 0.4%
840 9.543 0.029 0.3%
860 9.691 0.039 0.4%
880 9.841 0.022 0.2%
900 10.14 0.054 0.5%
920 10.31 0.03 0.2%
940 10.39 0.021 0.2%
960 10.65 0.042 0.3%
980 10.76 0.048 0.4%
1000 10.92 0.044 0.4%

Quality and confidence:
param error
v 0

Model:
Time ~= 2.315
+ v 0.009
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 ~= 57.31
+ s 2.412
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 53.18 0.114 0.2%
2 61.4 0.101 0.1%
4 67.36 0.073 0.1%
6 72.02 0.114 0.1%
8 76.77 0.099 0.1%
10 81.5 0.138 0.1%
12 86.6 0.109 0.1%
14 91.45 0.21 0.2%
16 96.14 0.131 0.1%
18 101 0.087 0.0%
20 105.8 0.19 0.1%
22 110.5 0.193 0.1%
24 115.6 0.118 0.1%
26 121.1 0.903 0.7%
28 125 0.176 0.1%
30 129.8 0.17 0.1%
32 134.3 0.134 0.0%
34 138.9 0.244 0.1%
36 143.6 0.204 0.1%
38 148.3 0.09 0.0%
40 152.8 0.246 0.1%
42 158 0.235 0.1%
44 163 0.188 0.1%
46 168 0.174 0.1%
48 172.6 0.178 0.1%
50 176.6 0.15 0.0%
52 181 0.233 0.1%
54 186.2 0.198 0.1%
56 190.9 0.203 0.1%
58 195.4 0.176 0.0%
60 200.4 0.215 0.1%
62 205.3 0.174 0.0%
64 209.5 0.127 0.0%
66 225.7 8.135 3.6%
68 225.9 4.59 2.0%
70 229.4 0.253 0.1%
72 230.3 1.686 0.7%
74 235.4 2.367 1.0%
76 240.1 4.214 1.7%
78 248.9 3.116 1.2%
80 249 1.435 0.5%
82 256.9 3.119 1.2%
84 262.5 6.575 2.5%
86 266.8 7.444 2.7%
88 266.8 0.347 0.1%
90 275.2 2.929 1.0%
92 283.9 0.419 0.1%
94 288.2 0.387 0.1%
96 294.7 0.536 0.1%
98 300.1 0.571 0.1%
100 304.5 0.507 0.1%

Quality and confidence:
param error
s 0.004

Model:
Time ~= 55.93
+ s 2.452
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 ~= 6648
+ s 34.8
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 378 2.945 0.7%
20 1677 11.99 0.7%
39 2949 13.09 0.4%
58 4201 14.98 0.3%
77 5420 4.508 0.0%
96 6623 9.582 0.1%
115 7799 14.83 0.1%
134 8942 9.882 0.1%
153 10080 10.49 0.1%
172 11160 13.98 0.1%
191 12250 14.61 0.1%
210 13280 12.99 0.0%
229 14310 15.31 0.1%
248 15310 16.39 0.1%
267 16280 10.3 0.0%
286 17240 9.68 0.0%
305 18190 25.16 0.1%
324 19050 19.22 0.1%
343 19930 19.01 0.0%
362 20780 13.19 0.0%
381 21600 10.85 0.0%
400 22380 10.73 0.0%
419 23170 17.51 0.0%
438 23920 22.41 0.0%
457 24630 15.8 0.0%
476 25330 25.33 0.1%
495 26320 233.5 0.8%
514 26920 154.4 0.5%
533 27310 23.65 0.0%
552 27880 22.67 0.0%
571 28460 17.65 0.0%
590 29000 26.12 0.0%
609 29520 8.08 0.0%
628 30020 18.81 0.0%
647 30500 28.28 0.0%
666 30920 19.34 0.0%
685 31380 21.95 0.0%
704 31770 18.61 0.0%
723 32140 15.03 0.0%
742 32480 20.66 0.0%
761 32810 26.02 0.0%
780 33110 16.49 0.0%
799 33370 19.48 0.0%
818 33640 31.89 0.0%
837 33870 19.61 0.0%
856 34070 21.87 0.0%
875 34250 15.77 0.0%
894 34420 27.84 0.0%
913 34530 19.53 0.0%
932 34620 20.29 0.0%
951 34730 28.28 0.0%
970 34770 17.48 0.0%
989 34780 19.06 0.0%

Quality and confidence:
param error
s 0.392

Model:
Time ~= 5877
+ s 34.8
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 ~= 104.7
+ n 47.89
µs

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

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 152.1 0.487 0.3%
2 199.8 0.403 0.2%
3 249 0.566 0.2%
4 296.7 0.579 0.1%
5 344 0.571 0.1%
6 389.9 0.411 0.1%
7 439.6 0.672 0.1%
8 487.5 0.889 0.1%
9 534.7 0.915 0.1%
10 583.2 1.994 0.3%
11 626.3 0.682 0.1%
12 673.2 0.87 0.1%
13 726.1 0.763 0.1%
14 774 1.357 0.1%
15 820.2 1.106 0.1%
16 868.7 2.08 0.2%
17 915.7 2.107 0.2%
18 965.7 3.388 0.3%
19 1017 11.54 1.1%
20 1069 7.448 0.6%
21 1131 14.82 1.3%
22 1155 1.979 0.1%
23 1206 2.613 0.2%
24 1260 9.525 0.7%
25 1298 9.609 0.7%
26 1340 2.807 0.2%
27 1406 9.07 0.6%
28 1447 3.718 0.2%
29 1488 8.017 0.5%
30 1538 9.795 0.6%
31 1596 10.83 0.6%
32 1637 2.653 0.1%
33 1694 10.32 0.6%
34 1734 6.461 0.3%
35 1793 7.74 0.4%
36 1841 12.25 0.6%
37 1884 3.314 0.1%
38 1927 10.07 0.5%
39 1986 11.62 0.5%
40 2036 13.93 0.6%
41 2069 11.88 0.5%
42 2122 9.866 0.4%
43 2169 7.601 0.3%
44 2227 14.52 0.6%
45 2285 17.41 0.7%
46 2320 10.62 0.4%
47 2368 11.15 0.4%
48 2411 14.97 0.6%
49 2457 11.99 0.4%
50 2487 9.2 0.3%
51 2552 15.02 0.5%
52 2604 14.98 0.5%
53 2642 16.65 0.6%
54 2698 14.79 0.5%
55 2755 15.9 0.5%
56 2788 13.14 0.4%
57 2825 12.3 0.4%
58 2910 11.82 0.4%
59 2941 14.56 0.4%
60 2990 13.17 0.4%
61 3015 12.93 0.4%
62 3070 12.68 0.4%
63 3117 10.66 0.3%
64 3152 10.63 0.3%

Quality and confidence:
param error
n 0.027

Model:
Time ~= 104.3
+ n 48
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 ~= 132.3
+ n 61.13
µs

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

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 190.3 0.376 0.1%
2 253.6 0.351 0.1%
3 317.8 0.528 0.1%
4 377 0.794 0.2%
5 433.6 0.563 0.1%
6 494.6 0.462 0.0%
7 556.5 0.827 0.1%
8 623.3 0.825 0.1%
9 683.4 0.864 0.1%
10 743.2 1.245 0.1%
11 807.4 3.329 0.4%
12 861.7 8.295 0.9%
13 923.1 1.223 0.1%
14 984.2 2.697 0.2%
15 1041 6.054 0.5%
16 1109 2.746 0.2%
17 1164 1.963 0.1%
18 1231 4.881 0.3%
19 1299 10.12 0.7%
20 1366 11.82 0.8%
21 1416 2.328 0.1%
22 1492 13.37 0.8%
23 1544 9.627 0.6%
24 1604 10.7 0.6%
25 1655 4.714 0.2%
26 1752 6.367 0.3%
27 1784 3.871 0.2%
28 1850 11.45 0.6%
29 1907 4.642 0.2%
30 1968 6.263 0.3%
31 2024 7.277 0.3%
32 2108 6.379 0.3%
33 2152 10.09 0.4%
34 2215 10.69 0.4%
35 2269 5.589 0.2%
36 2334 7.895 0.3%
37 2388 12.52 0.5%
38 2455 12.55 0.5%
39 2520 8.893 0.3%
40 2567 12.77 0.4%
41 2625 7.694 0.2%
42 2712 12.72 0.4%
43 2791 15.25 0.5%
44 2822 11.4 0.4%
45 2887 10.17 0.3%
46 2942 8.433 0.2%
47 3019 11.78 0.3%
48 3074 9.831 0.3%
49 3137 16.03 0.5%
50 3197 9.812 0.3%
51 3261 7.038 0.2%
52 3329 13.24 0.3%
53 3381 7.898 0.2%
54 3425 11.38 0.3%
55 3509 10.98 0.3%
56 3572 5.751 0.1%
57 3619 4.192 0.1%
58 3687 8.682 0.2%
59 3741 7.599 0.2%
60 3797 8.387 0.2%
61 3858 3.549 0.0%
62 3908 12.12 0.3%
63 3973 11.88 0.2%
64 4037 6.287 0.1%

Quality and confidence:
param error
n 0.026

Model:
Time ~= 132.5
+ n 61.2
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 ~= 37.92
+ l 0.082
µs

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

-- Extrinsic Time --

Data points distribution:
l mean µs sigma µs %
1 37.75 0.172 0.4%
2 37.89 0.106 0.2%
3 37.82 0.138 0.3%
4 37.89 0.074 0.1%
5 38.24 0.076 0.1%
6 38.22 0.125 0.3%
7 38.35 0.14 0.3%
8 38.37 0.087 0.2%
9 38.86 0.096 0.2%
10 38.86 0.129 0.3%
11 39.02 0.127 0.3%
12 39.11 0.172 0.4%
13 39.01 0.099 0.2%
14 39.02 0.114 0.2%
15 39.29 0.096 0.2%
16 39.29 0.1 0.2%
17 39.79 0.127 0.3%
18 39.83 0.17 0.4%
19 39.79 0.115 0.2%
20 39.83 0.101 0.2%
21 39.97 0.059 0.1%
22 39.83 0.126 0.3%
23 39.91 0.087 0.2%
24 40.08 0.047 0.1%
25 40.03 0.096 0.2%
26 40.16 0.172 0.4%
27 40.17 0.079 0.1%
28 40.04 0.081 0.2%
29 39.87 0.121 0.3%
30 40.02 0.135 0.3%
31 40.11 0.05 0.1%
32 39.96 0.141 0.3%

Quality and confidence:
param error
l 0.001

Model:
Time ~= 37.91
+ 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 31.53
µs

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

-- Extrinsic Time --

Data points distribution:
e mean µs sigma µs %
1 37.95 0.188 0.4%
2 62.53 0.142 0.2%
3 85.52 0.184 0.2%
4 110.7 0.267 0.2%
5 134.4 0.377 0.2%
6 156.2 0.113 0.0%
7 181.3 0.276 0.1%
8 203.6 0.158 0.0%
9 226.9 0.913 0.4%
10 253.6 0.302 0.1%
11 278.3 0.786 0.2%
12 303.6 0.411 0.1%
13 328.5 0.743 0.2%
14 357.4 1.605 0.4%
15 378.2 0.888 0.2%
16 402.2 0.826 0.2%
17 430.6 1.146 0.2%
18 457.6 0.463 0.1%
19 485.7 0.755 0.1%
20 512.2 0.792 0.1%
21 537.2 0.833 0.1%
22 562.7 1.075 0.1%
23 592.2 1.318 0.2%
24 622.7 1.279 0.2%
25 646.1 0.786 0.1%
26 674.9 0.704 0.1%
27 701.7 1.825 0.2%
28 727.5 0.701 0.0%
29 760 1.021 0.1%
30 784.7 0.966 0.1%
31 819.4 1.758 0.2%
32 840.9 1.593 0.1%
33 884.5 9.776 1.1%
34 909.9 3.151 0.3%
35 926.9 1.226 0.1%
36 959.1 2.987 0.3%
37 991.5 1.521 0.1%
38 1018 3.438 0.3%
39 1040 2.827 0.2%
40 1070 1.582 0.1%
41 1113 2.156 0.1%
42 1134 2.289 0.2%
43 1162 2.174 0.1%
44 1200 3.999 0.3%
45 1225 3.668 0.2%
46 1256 1.88 0.1%
47 1289 2.323 0.1%
48 1331 8.939 0.6%
49 1354 1.716 0.1%
50 1375 4.269 0.3%
51 1424 9.632 0.6%
52 1454 2.604 0.1%
53 1491 5.734 0.3%
54 1522 2.472 0.1%
55 1551 12.87 0.8%
56 1591 12.15 0.7%
57 1626 7.654 0.4%
58 1649 8.407 0.5%
59 1691 4.669 0.2%
60 1729 15.86 0.9%
61 1750 8.783 0.5%
62 1785 4.193 0.2%
63 1811 12.79 0.7%
64 1846 12.53 0.6%
65 1949 11.01 0.5%
66 1956 9.936 0.5%
67 1985 10.36 0.5%
68 1983 10.1 0.5%
69 2003 7.837 0.3%
70 2047 10.05 0.4%
71 2086 8.365 0.4%
72 2132 9.183 0.4%
73 2141 8.047 0.3%
74 2199 10.41 0.4%
75 2243 13.59 0.6%
76 2271 10.65 0.4%
77 2291 8.053 0.3%
78 2327 10.11 0.4%
79 2364 7.961 0.3%
80 2402 13.49 0.5%
81 2439 13.14 0.5%
82 2494 10.69 0.4%
83 2509 10.81 0.4%
84 2547 10.44 0.4%
85 2585 9.242 0.3%
86 2617 12.27 0.4%
87 2664 15.07 0.5%
88 2681 17.9 0.6%
89 2710 16.61 0.6%
90 2782 18.55 0.6%
91 2806 13.91 0.4%
92 2881 17.67 0.6%
93 2855 6.679 0.2%
94 2956 6.783 0.2%
95 2937 6.091 0.2%
96 2971 6.942 0.2%
97 2995 2.462 0.0%
98 3097 13.18 0.4%
99 3133 10.94 0.3%
100 3148 11.87 0.3%

Quality and confidence:
param error
e 0.063

Model:
Time ~= 0
+ e 31.58
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 ~= 61.03
+ s 2.362
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 62.18 0.107 0.1%
2 64.79 0.069 0.1%
3 67.19 0.059 0.0%
4 70.28 0.094 0.1%
5 72.77 0.063 0.0%
6 75 0.095 0.1%
7 77.44 0.119 0.1%
8 79.83 0.165 0.2%
9 82.1 0.117 0.1%
10 84.51 0.172 0.2%
11 86.78 0.112 0.1%
12 89.39 0.102 0.1%
13 91.92 0.125 0.1%
14 94.25 0.161 0.1%
15 98.22 0.775 0.7%
16 99 0.194 0.1%
17 101.4 0.209 0.2%
18 103.4 0.132 0.1%
19 105.8 0.11 0.1%
20 108.2 0.201 0.1%
21 110.9 0.151 0.1%
22 113.3 0.133 0.1%
23 115.3 0.113 0.0%
24 118 0.086 0.0%
25 120.3 0.144 0.1%
26 122.8 0.176 0.1%
27 125 0.237 0.1%
28 127.4 0.212 0.1%
29 129.9 0.177 0.1%
30 132.2 0.151 0.1%
31 134.7 0.262 0.1%
32 136.8 0.192 0.1%
33 139.4 0.209 0.1%
34 142.4 1.114 0.7%
35 143.9 0.319 0.2%
36 146 0.168 0.1%
37 148.3 0.185 0.1%
38 150.9 0.135 0.0%
39 153.5 0.174 0.1%
40 155.7 0.245 0.1%
41 157.8 0.176 0.1%
42 160.5 0.192 0.1%
43 163.4 1.278 0.7%
44 165.2 0.299 0.1%
45 167.2 0.179 0.1%
46 169.5 0.242 0.1%
47 171.8 0.183 0.1%
48 174.5 0.221 0.1%
49 176.7 0.18 0.1%
50 178.6 0.165 0.0%
51 180.7 0.191 0.1%
52 183.2 0.406 0.2%
53 185.8 0.223 0.1%
54 188 0.479 0.2%
55 190.7 0.252 0.1%
56 193 0.323 0.1%
57 195.3 0.251 0.1%
58 200.1 1.998 0.9%
59 202.2 5.331 2.6%
60 202.1 0.417 0.2%
61 205.2 0.203 0.0%
62 207.6 0.195 0.0%
63 210.1 0.223 0.1%
64 212.4 0.464 0.2%
65 214.8 0.366 0.1%
66 216.7 0.33 0.1%
67 219 0.305 0.1%
68 221.9 0.396 0.1%
69 223.6 0.212 0.0%
70 226 0.349 0.1%
71 228.9 0.606 0.2%
72 230.8 0.456 0.1%
73 233 0.294 0.1%
74 236.2 0.353 0.1%
75 238.4 0.374 0.1%
76 240.4 0.339 0.1%
77 242.4 0.293 0.1%
78 244.5 0.314 0.1%
79 247.1 0.288 0.1%
80 249.7 0.438 0.1%
81 251.5 0.652 0.2%
82 254.4 0.448 0.1%
83 256.9 0.372 0.1%
84 258.8 0.405 0.1%
85 261.3 0.381 0.1%
86 264.4 0.435 0.1%
87 267.5 0.536 0.2%
88 269.2 0.379 0.1%
89 270.9 0.183 0.0%
90 272.7 0.526 0.1%
91 275.3 0.309 0.1%
92 279 0.438 0.1%
93 280.8 0.451 0.1%
94 283.2 0.515 0.1%
95 284.7 0.505 0.1%
96 288.1 0.364 0.1%
97 290.8 0.404 0.1%
98 293.3 0.45 0.1%
99 295.2 0.364 0.1%
100 298 0.392 0.1%

Quality and confidence:
param error
s 0

Model:
Time ~= 61.06
+ s 2.362
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 528.8
+ n 78.42
µs

Reads = 7 + (4 * v) + (3 * n)
Writes = 8 + (3 * v) + (0 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v n mean µs sigma µs %
1 100 3575 10.72 0.2%
2 100 4134 11.72 0.2%
3 100 4590 10.86 0.2%
4 100 5019 11.54 0.2%
5 100 5625 18.74 0.3%
6 100 6096 17.32 0.2%
7 100 6598 9.558 0.1%
8 100 7117 15.52 0.2%
9 100 7785 6.892 0.0%
10 1 623.7 1.331 0.2%
10 2 708.4 7.236 1.0%
10 3 786.4 1.681 0.2%
10 4 864.9 1.193 0.1%
10 5 945.4 6.478 0.6%
10 6 1021 10.14 0.9%
10 7 1095 1.332 0.1%
10 8 1175 2.678 0.2%
10 9 1266 13.43 1.0%
10 10 1340 9.736 0.7%
10 11 1420 12.18 0.8%
10 12 1487 1.999 0.1%
10 13 1563 7.198 0.4%
10 14 1647 9.141 0.5%
10 15 1712 3.805 0.2%
10 16 1804 12.38 0.6%
10 17 1880 10.63 0.5%
10 18 1945 5.121 0.2%
10 19 2045 8.41 0.4%
10 20 2127 11.87 0.5%
10 21 2212 10.54 0.4%
10 22 2279 7.776 0.3%
10 23 2382 8.539 0.3%
10 24 2447 7.601 0.3%
10 25 2521 11.21 0.4%
10 26 2606 10.46 0.4%
10 27 2681 10.95 0.4%
10 28 2757 11.18 0.4%
10 29 2841 5.831 0.2%
10 30 2912 11.84 0.4%
10 31 3001 12.58 0.4%
10 32 3089 10.47 0.3%
10 33 3154 10.8 0.3%
10 34 3248 13.65 0.4%
10 35 3315 8.68 0.2%
10 36 3393 9.825 0.2%
10 37 3457 12.84 0.3%
10 38 3567 6.774 0.1%
10 39 3655 7.771 0.2%
10 40 3733 6.767 0.1%
10 41 3787 11.56 0.3%
10 42 3861 8.901 0.2%
10 43 3946 7.251 0.1%
10 44 4011 9.137 0.2%
10 45 4108 7.749 0.1%
10 46 4172 7.379 0.1%
10 47 4254 7.628 0.1%
10 48 4340 7.567 0.1%
10 49 4431 16.09 0.3%
10 50 4493 16.21 0.3%
10 51 4573 3.9 0.0%
10 52 4638 8.255 0.1%
10 53 4711 6.612 0.1%
10 54 4821 10.1 0.2%
10 55 4875 11.64 0.2%
10 56 4962 9.287 0.1%
10 57 5059 10.13 0.2%
10 58 5102 8.711 0.1%
10 59 5211 6.963 0.1%
10 60 5277 5.698 0.1%
10 61 5348 8.872 0.1%
10 62 5409 7.777 0.1%
10 63 5498 5.567 0.1%
10 64 5612 9.255 0.1%
10 65 5698 9.472 0.1%
10 66 5761 8.186 0.1%
10 67 5837 12.51 0.2%
10 68 5931 11.25 0.1%
10 69 5998 13.04 0.2%
10 70 6071 6.657 0.1%
10 71 6132 8.887 0.1%
10 72 6228 11.56 0.1%
10 73 6304 9.243 0.1%
10 74 6380 6.948 0.1%
10 75 6421 5.919 0.0%
10 76 6540 11.67 0.1%
10 77 6607 8.746 0.1%
10 78 6765 69.84 1.0%
10 79 6770 9.422 0.1%
10 80 6845 14.05 0.2%
10 81 6911 4.631 0.0%
10 82 7005 8.556 0.1%
10 83 7074 12.11 0.1%
10 84 7131 7.608 0.1%
10 85 7224 5.559 0.0%
10 86 7298 18.18 0.2%
10 87 7394 14.21 0.1%
10 88 7456 7.409 0.0%
10 89 7516 10.55 0.1%
10 90 7612 13.22 0.1%
10 91 7658 7.892 0.1%
10 92 7768 13.34 0.1%
10 93 7808 8.575 0.1%
10 94 7906 16.08 0.2%
10 95 8027 48.24 0.6%
10 96 8085 33.98 0.4%
10 97 8158 21 0.2%
10 98 8209 21.62 0.2%
10 99 8265 9.795 0.1%
10 100 8363 10.53 0.1%

Quality and confidence:
param error
v 0.831
n 0.041

Model:
Time ~= 0
+ v 546.4
+ n 78.18
µs

Reads = 7 + (4 * v) + (3 * n)
Writes = 8 + (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 0.918
+ n 0.476
+ a 70.23
+ w 7.539
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 29080 42.2 0.1%
204 1000 400 100 29320 22.19 0.0%
208 1000 400 100 29150 39.22 0.1%
212 1000 400 100 29040 46.39 0.1%
216 1000 400 100 29140 62.36 0.2%
220 1000 400 100 29300 54.96 0.1%
224 1000 400 100 29080 23.64 0.0%
228 1000 400 100 29160 40.68 0.1%
232 1000 400 100 29200 68.19 0.2%
236 1000 400 100 29160 59.68 0.2%
240 1000 400 100 29300 71.35 0.2%
244 1000 400 100 29140 45.58 0.1%
248 1000 400 100 29210 37.26 0.1%
252 1000 400 100 29370 34.27 0.1%
256 1000 400 100 29260 38.27 0.1%
260 1000 400 100 29290 65.43 0.2%
264 1000 400 100 29300 57.62 0.1%
268 1000 400 100 29330 57.43 0.1%
272 1000 400 100 29080 54.91 0.1%
276 1000 400 100 29090 30.12 0.1%
280 1000 400 100 29240 56.71 0.1%
284 1000 400 100 29270 41.69 0.1%
288 1000 400 100 29130 24.77 0.0%
292 1000 400 100 29360 37.38 0.1%
296 1000 400 100 29210 61.01 0.2%
300 1000 400 100 29260 30.94 0.1%
304 1000 400 100 29280 77.63 0.2%
308 1000 400 100 29180 84.91 0.2%
312 1000 400 100 29320 60.68 0.2%
316 1000 400 100 29210 41.55 0.1%
320 1000 400 100 29270 51.42 0.1%
324 1000 400 100 29280 69.04 0.2%
328 1000 400 100 29190 43.51 0.1%
332 1000 400 100 29320 62.98 0.2%
336 1000 400 100 29260 41.11 0.1%
340 1000 400 100 29340 39.5 0.1%
344 1000 400 100 29230 47.72 0.1%
348 1000 400 100 29280 56.52 0.1%
352 1000 400 100 29410 55.16 0.1%
356 1000 400 100 29320 45.02 0.1%
360 1000 400 100 29250 39.53 0.1%
364 1000 400 100 29370 33.34 0.1%
368 1000 400 100 29450 45.28 0.1%
372 1000 400 100 29350 63.21 0.2%
376 1000 400 100 29350 40.66 0.1%
380 1000 400 100 29300 68.97 0.2%
384 1000 400 100 29440 42.4 0.1%
388 1000 400 100 29430 37.07 0.1%
392 1000 400 100 29370 46.65 0.1%
396 1000 400 100 29280 63.86 0.2%
400 500 400 100 29020 55.58 0.1%
400 510 400 100 29110 44.51 0.1%
400 520 400 100 29110 64.1 0.2%
400 530 400 100 29020 17.6 0.0%
400 540 400 100 29110 47.46 0.1%
400 550 400 100 29110 47.16 0.1%
400 560 400 100 29200 52.05 0.1%
400 570 400 100 29100 61.27 0.2%
400 580 400 100 29170 44.33 0.1%
400 590 400 100 29150 64.6 0.2%
400 600 400 100 29090 71.87 0.2%
400 610 400 100 29240 44.18 0.1%
400 620 400 100 29150 23.15 0.0%
400 630 400 100 29130 61.8 0.2%
400 640 400 100 29160 31.17 0.1%
400 650 400 100 29170 25.68 0.0%
400 660 400 100 29110 56.5 0.1%
400 670 400 100 29020 49.28 0.1%
400 680 400 100 29090 38.27 0.1%
400 690 400 100 29050 47.66 0.1%
400 700 400 100 29170 26.21 0.0%
400 710 400 100 29240 83.91 0.2%
400 720 400 100 29190 43.8 0.1%
400 730 400 100 29220 56.83 0.1%
400 740 400 100 29230 85.88 0.2%
400 750 400 100 29370 55.4 0.1%
400 760 400 100 29230 49.05 0.1%
400 770 400 100 29320 55.13 0.1%
400 780 400 100 29200 35.19 0.1%
400 790 400 100 29230 49.39 0.1%
400 800 400 100 29320 78.59 0.2%
400 810 400 100 29290 38.6 0.1%
400 820 400 100 29330 36.43 0.1%
400 830 400 100 29230 46.69 0.1%
400 840 400 100 29170 71.5 0.2%
400 850 400 100 29440 35.38 0.1%
400 860 400 100 29320 29.56 0.1%
400 870 400 100 29230 40.83 0.1%
400 880 400 100 29300 38.67 0.1%
400 890 400 100 29270 74.25 0.2%
400 900 400 100 29300 55.22 0.1%
400 910 400 100 29260 63.24 0.2%
400 920 400 100 29320 37.02 0.1%
400 930 400 100 29280 63.84 0.2%
400 940 400 100 29170 44.54 0.1%
400 950 400 100 29250 47.46 0.1%
400 960 400 100 29340 37.49 0.1%
400 970 400 100 29310 25.9 0.0%
400 980 400 100 29330 51.62 0.1%
400 990 400 100 29330 33.74 0.1%
400 1000 200 100 15090 26.9 0.1%
400 1000 204 100 15390 26.91 0.1%
400 1000 208 100 15710 47.57 0.3%
400 1000 212 100 15990 21.3 0.1%
400 1000 216 100 16250 39.02 0.2%
400 1000 220 100 16640 26.89 0.1%
400 1000 224 100 16940 32.7 0.1%
400 1000 228 100 17210 38.7 0.2%
400 1000 232 100 17490 13.72 0.0%
400 1000 236 100 17760 18.72 0.1%
400 1000 240 100 18080 48.6 0.2%
400 1000 244 100 18360 45.38 0.2%
400 1000 248 100 18670 31.01 0.1%
400 1000 252 100 18890 41.82 0.2%
400 1000 256 100 19180 17 0.0%
400 1000 260 100 19440 23.55 0.1%
400 1000 264 100 19750 29.64 0.1%
400 1000 268 100 20040 14.05 0.0%
400 1000 272 100 20320 28.96 0.1%
400 1000 276 100 20610 28.27 0.1%
400 1000 280 100 20830 43.06 0.2%
400 1000 284 100 21130 31.58 0.1%
400 1000 288 100 21440 55.31 0.2%
400 1000 292 100 21670 33.89 0.1%
400 1000 296 100 21980 57.44 0.2%
400 1000 300 100 22250 32.68 0.1%
400 1000 304 100 22560 54.02 0.2%
400 1000 308 100 22790 46.56 0.2%
400 1000 312 100 23060 56.7 0.2%
400 1000 316 100 23360 34.23 0.1%
400 1000 320 100 23600 34.91 0.1%
400 1000 324 100 23890 48.48 0.2%
400 1000 328 100 24160 41.22 0.1%
400 1000 332 100 24410 44.56 0.1%
400 1000 336 100 24740 39.75 0.1%
400 1000 340 100 25020 44.98 0.1%
400 1000 344 100 25300 48.41 0.1%
400 1000 348 100 25620 24.1 0.0%
400 1000 352 100 25820 29.06 0.1%
400 1000 356 100 26150 44.05 0.1%
400 1000 360 100 26440 40.69 0.1%
400 1000 364 100 26680 47.28 0.1%
400 1000 368 100 26970 52.14 0.1%
400 1000 372 100 27290 43.15 0.1%
400 1000 376 100 27580 21.66 0.0%
400 1000 380 100 27830 27.51 0.0%
400 1000 384 100 28150 28.85 0.1%
400 1000 388 100 28390 48.65 0.1%
400 1000 392 100 28680 48.89 0.1%
400 1000 396 100 28980 43.75 0.1%
400 1000 400 16 28620 17.12 0.0%
400 1000 400 17 28760 22.92 0.0%
400 1000 400 18 28690 57.64 0.2%
400 1000 400 19 28740 50.45 0.1%
400 1000 400 20 28860 28.81 0.0%
400 1000 400 21 28830 66.35 0.2%
400 1000 400 22 28910 36.68 0.1%
400 1000 400 23 28900 33.7 0.1%
400 1000 400 24 28920 48.36 0.1%
400 1000 400 25 28730 48.99 0.1%
400 1000 400 26 28720 31.51 0.1%
400 1000 400 27 28740 55.1 0.1%
400 1000 400 28 28690 88.14 0.3%
400 1000 400 29 28830 62.64 0.2%
400 1000 400 30 28790 58.53 0.2%
400 1000 400 31 28720 47.35 0.1%
400 1000 400 32 28850 32.56 0.1%
400 1000 400 33 28970 73.81 0.2%
400 1000 400 34 28740 18.28 0.0%
400 1000 400 35 28910 70.09 0.2%
400 1000 400 36 28850 36.22 0.1%
400 1000 400 37 29050 49.15 0.1%
400 1000 400 38 28950 54.28 0.1%
400 1000 400 39 28980 45.24 0.1%
400 1000 400 40 28970 43.22 0.1%
400 1000 400 41 28940 36.8 0.1%
400 1000 400 42 29180 45.02 0.1%
400 1000 400 43 28970 42.16 0.1%
400 1000 400 44 29210 62.16 0.2%
400 1000 400 45 28930 47.52 0.1%
400 1000 400 46 28960 51.82 0.1%
400 1000 400 47 29180 74.91 0.2%
400 1000 400 48 29050 35.51 0.1%
400 1000 400 49 28920 30.06 0.1%
400 1000 400 50 28960 41.33 0.1%
400 1000 400 51 29000 53.31 0.1%
400 1000 400 52 28950 56.08 0.1%
400 1000 400 53 28940 60.5 0.2%
400 1000 400 54 28890 45.66 0.1%
400 1000 400 55 28930 66.56 0.2%
400 1000 400 56 29040 22.63 0.0%
400 1000 400 57 28940 38.28 0.1%
400 1000 400 58 28960 58.59 0.2%
400 1000 400 59 28980 40.49 0.1%
400 1000 400 60 28910 48 0.1%
400 1000 400 61 29120 45.36 0.1%
400 1000 400 62 29000 40.93 0.1%
400 1000 400 63 29020 63.8 0.2%
400 1000 400 64 29160 45.92 0.1%
400 1000 400 65 29010 65.72 0.2%
400 1000 400 66 29070 34.64 0.1%
400 1000 400 67 29020 29.36 0.1%
400 1000 400 68 29130 30.65 0.1%
400 1000 400 69 29210 54 0.1%
400 1000 400 70 29180 63.03 0.2%
400 1000 400 71 29190 71.62 0.2%
400 1000 400 72 29120 68.16 0.2%
400 1000 400 73 29330 52.78 0.1%
400 1000 400 74 29210 37.7 0.1%
400 1000 400 75 29180 56.5 0.1%
400 1000 400 76 29220 42.63 0.1%
400 1000 400 77 29220 94.73 0.3%
400 1000 400 78 29350 36.5 0.1%
400 1000 400 79 29390 45.2 0.1%
400 1000 400 80 29340 37.5 0.1%
400 1000 400 81 29360 64.7 0.2%
400 1000 400 82 29220 15.44 0.0%
400 1000 400 83 29400 45.94 0.1%
400 1000 400 84 29140 40.31 0.1%
400 1000 400 85 29180 53.96 0.1%
400 1000 400 86 29320 52.71 0.1%
400 1000 400 87 29440 47.68 0.1%
400 1000 400 88 29360 39.78 0.1%
400 1000 400 89 29200 54.71 0.1%
400 1000 400 90 29490 22.93 0.0%
400 1000 400 91 29370 65.43 0.2%
400 1000 400 92 29240 35.64 0.1%
400 1000 400 93 29320 43.64 0.1%
400 1000 400 94 29240 54.36 0.1%
400 1000 400 95 29280 37.11 0.1%
400 1000 400 96 29290 57.73 0.1%
400 1000 400 97 29300 33.14 0.1%
400 1000 400 98 29340 58.84 0.2%
400 1000 400 99 29430 42.48 0.1%
400 1000 400 100 29300 38.93 0.1%

Quality and confidence:
param error
v 0.045
n 0.018
a 0.045
w 0.095

Model:
Time ~= 0
+ v 0.878
+ n 0.518
+ a 70.85
+ w 6.931
µs

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

[apopiak]

LGTM, read/write counts for kick were checked in the introducing PR, right?

[shawntabrizi]

@apopiak yes, you can confirm that if you like here: paritytech/substrate#7930

[shawntabrizi]

bot merge

[ghost]

Missing process info; check that the PR belongs to a project column.

Merge can be attempted if:

• The PR has approval from two core-devs (or one if the PR is labelled insubstantial).
• The PR has approval from a member of substrateteamleads.
• The PR is attached to a project column and has approval from the project owner.

See https://github.com/paritytech/parity-processbot#faq

[gavofyork]

bot merge

[ghost]

Trying merge.