Bump version, bump substrate & update benchmarks in preparation for v0.8.31 #2938

s3krit · 2021-04-26T18:23:56Z

No description provided.

…versions-v0.8.31

s3krit · 2021-04-27T15:06:08Z

/benchmark runtime kusama pallet_identity

parity-benchapp · 2021-04-27T15:06:10Z

Finished benchmark for branch: mp-bump-versions-v0.8.31

Benchmark: Benchmark Runtime Kusama Pallet

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

Results

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

-- Extrinsic Time --

Model:
Time ~= 21.16
+ r 0.34
µs

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

-- Extrinsic Time --

Data points distribution:
r mean µs sigma µs %
1 20.98 0.13 0.6%
2 21.81 0.094 0.4%
3 22.14 0.09 0.4%
4 22.64 0.111 0.4%
5 23.14 0.09 0.3%
6 23.19 0.103 0.4%
7 23.56 0.06 0.2%
8 23.85 0.056 0.2%
9 24.28 0.079 0.3%
10 24.69 0.078 0.3%
11 25.2 0.102 0.4%
12 25.03 0.098 0.3%
13 25.66 0.112 0.4%
14 25.83 0.121 0.4%
15 26.22 0.097 0.3%
16 26.63 0.087 0.3%
17 27.1 0.094 0.3%
18 27.06 0.07 0.2%
19 27.59 0.097 0.3%

Quality and confidence:
param error
r 0.002

Model:
Time ~= 21.12
+ r 0.343
µs

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

-- Extrinsic Time --

Model:
Time ~= 56.86
+ r 0.107
+ x 1.06
µs

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

-- Extrinsic Time --

Data points distribution:
r x mean µs sigma µs %
1 100 162.5 0.213 0.1%
2 100 162.9 0.095 0.0%
3 100 162.9 0.091 0.0%
4 100 163.3 0.129 0.0%
5 100 164.1 0.111 0.0%
6 100 163.7 0.15 0.0%
7 100 163.5 0.184 0.1%
8 100 163.5 0.208 0.1%
9 100 163.8 0.165 0.1%
10 100 164 0.108 0.0%
11 100 164 0.105 0.0%
12 100 164.4 0.273 0.1%
13 100 164.5 0.145 0.0%
14 100 164.2 0.252 0.1%
15 100 164.4 0.064 0.0%
16 100 164.6 0.127 0.0%
17 100 164.6 0.111 0.0%
18 100 164.5 0.222 0.1%
19 100 164.9 0.137 0.0%
20 1 39.18 0.12 0.3%
20 2 61.61 0.15 0.2%
20 3 62.72 0.219 0.3%
20 4 63.73 0.125 0.1%
20 5 65.47 0.19 0.2%
20 6 66.58 0.181 0.2%
20 7 67.56 0.163 0.2%
20 8 68.44 0.145 0.2%
20 9 69.54 0.214 0.3%
20 10 70.4 0.129 0.1%
20 11 71.2 0.082 0.1%
20 12 72.08 0.079 0.1%
20 13 74.4 0.111 0.1%
20 14 75.52 0.235 0.3%
20 15 76.41 0.232 0.3%
20 16 77.44 0.139 0.1%
20 17 78.5 0.166 0.2%
20 18 79.51 0.207 0.2%
20 19 80.25 0.223 0.2%
20 20 81.28 0.067 0.0%
20 21 82.23 0.14 0.1%
20 22 83.23 0.104 0.1%
20 23 84.37 0.159 0.1%
20 24 85.32 0.158 0.1%
20 25 86.26 0.148 0.1%
20 26 87.4 0.159 0.1%
20 27 88.22 0.092 0.1%
20 28 89.16 0.163 0.1%
20 29 91.94 0.084 0.0%
20 30 92.76 0.298 0.3%
20 31 93.74 0.104 0.1%
20 32 94.86 0.123 0.1%
20 33 95.79 0.175 0.1%
20 34 96.86 0.156 0.1%
20 35 97.84 0.118 0.1%
20 36 98.56 0.07 0.0%
20 37 99.87 0.182 0.1%
20 38 100.6 0.192 0.1%
20 39 101.6 0.215 0.2%
20 40 102.6 0.109 0.1%
20 41 103.5 0.141 0.1%
20 42 104.5 0.148 0.1%
20 43 105.5 0.14 0.1%
20 44 106.5 0.07 0.0%
20 45 107.2 0.153 0.1%
20 46 108.5 0.15 0.1%
20 47 109.6 0.157 0.1%
20 48 110.4 0.17 0.1%
20 49 111.4 0.149 0.1%
20 50 112.4 0.139 0.1%
20 51 113.4 0.083 0.0%
20 52 114.4 0.306 0.2%
20 53 115.3 0.2 0.1%
20 54 116.1 0.133 0.1%
20 55 117.5 0.135 0.1%
20 56 118.5 0.14 0.1%
20 57 119.2 0.136 0.1%
20 58 120.2 0.077 0.0%
20 59 121.2 0.251 0.2%
20 60 122.3 0.178 0.1%
20 61 123 0.177 0.1%
20 62 127.8 0.156 0.1%
20 63 128.8 0.116 0.0%
20 64 129.7 0.241 0.1%
20 65 130.9 0.183 0.1%
20 66 131.5 0.162 0.1%
20 67 132.8 0.136 0.1%
20 68 133.6 0.179 0.1%
20 69 134.8 0.185 0.1%
20 70 135.5 0.137 0.1%
20 71 136.8 0.131 0.0%
20 72 137.7 0.172 0.1%
20 73 138.5 0.161 0.1%
20 74 139.5 0.181 0.1%
20 75 140.7 0.228 0.1%
20 76 142.1 0.512 0.3%
20 77 142.6 0.342 0.2%
20 78 143.6 0.311 0.2%
20 79 144.4 0.179 0.1%
20 80 145.4 0.248 0.1%
20 81 146.2 0.122 0.0%
20 82 147.3 0.213 0.1%
20 83 148.6 0.261 0.1%
20 84 149.4 0.199 0.1%
20 85 150.5 0.218 0.1%
20 86 151.3 0.131 0.0%
20 87 152.3 0.181 0.1%
20 88 153 0.2 0.1%
20 89 154.3 0.273 0.1%
20 90 155.2 0.172 0.1%
20 91 156.1 0.158 0.1%
20 92 157.2 0.169 0.1%
20 93 158.3 0.158 0.0%
20 94 158.9 0.14 0.0%
20 95 160.2 0.322 0.2%
20 96 161 0.168 0.1%
20 97 162.2 0.184 0.1%
20 98 163 0.103 0.0%
20 99 163.7 0.154 0.0%
20 100 164.9 0.245 0.1%

Quality and confidence:
param error
r 0.016
x 0.002

Model:
Time ~= 55.14
+ r 0.212
+ x 1.07
µs

Reads = 1 + (0 * r) + (0 * x)
Writes = 1 + (0 * r) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "set_subs_new", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 41.37
+ s 6.92
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 48.22 0.171 0.3%
2 54.9 0.119 0.2%
3 61.91 0.136 0.2%
4 68.46 0.103 0.1%
5 75.37 0.234 0.3%
6 82.45 0.255 0.3%
7 89.32 0.137 0.1%
8 96.77 0.087 0.0%
9 103.6 0.282 0.2%
10 110.6 0.307 0.2%
11 117.5 0.244 0.2%
12 124.1 0.333 0.2%
13 131.1 0.346 0.2%
14 138.1 0.195 0.1%
15 144.4 0.353 0.2%
16 151.3 0.295 0.1%
17 157.7 0.571 0.3%
18 165.3 0.339 0.2%
19 172.2 0.243 0.1%
20 179.4 0.57 0.3%
21 186.2 0.429 0.2%
22 194.2 0.386 0.1%
23 201.2 0.307 0.1%
24 208.2 0.336 0.1%
25 216 0.358 0.1%
26 222.9 0.261 0.1%
27 229.4 0.536 0.2%
28 236.2 0.679 0.2%
29 243.2 0.461 0.1%
30 250.1 0.378 0.1%
31 256.4 0.591 0.2%
32 262.7 0.307 0.1%
33 269.8 0.433 0.1%
34 276 0.556 0.2%
35 283.3 0.482 0.1%
36 290 0.802 0.2%
37 297.3 0.55 0.1%
38 303.8 0.464 0.1%
39 311.4 0.606 0.1%
40 317.5 0.511 0.1%
41 324.5 0.56 0.1%
42 330.9 0.611 0.1%
43 338 0.432 0.1%
44 344.9 0.385 0.1%
45 351.9 0.446 0.1%
46 358.7 0.655 0.1%
47 364.8 0.498 0.1%
48 374.2 0.892 0.2%
49 380.6 0.995 0.2%
50 391.6 0.674 0.1%
51 397.2 1.018 0.2%
52 403.7 0.728 0.1%
53 411.4 0.966 0.2%
54 417.6 1.422 0.3%
55 424 0.468 0.1%
56 431.7 1.058 0.2%
57 437.4 1.131 0.2%
58 445.4 0.538 0.1%
59 451.5 1.313 0.2%
60 458.7 1.021 0.2%
61 464.7 1.099 0.2%
62 472.1 0.789 0.1%
63 479.8 0.749 0.1%
64 485.3 0.879 0.1%
65 492.2 2.109 0.4%
66 500.2 1.131 0.2%
67 504.7 0.916 0.1%
68 514 1.131 0.2%
69 520.3 0.806 0.1%
70 525.4 1.49 0.2%
71 532.9 0.846 0.1%
72 540.2 1.116 0.2%
73 545.1 1.276 0.2%
74 552.9 1.221 0.2%
75 561.4 1.591 0.2%
76 566.8 1.075 0.1%
77 574.1 1.374 0.2%
78 579.1 1.688 0.2%
79 589.2 1.297 0.2%
80 594.1 1.567 0.2%
81 601.1 1.529 0.2%
82 607.5 2.049 0.3%
83 614.7 0.734 0.1%
84 622.2 1.58 0.2%
85 630.3 1.122 0.1%
86 633.7 1.599 0.2%
87 642.5 1.938 0.3%
88 648.1 0.647 0.0%
89 655 1.377 0.2%
90 664.8 1.813 0.2%
91 667.9 2.571 0.3%
92 677.6 0.726 0.1%
93 683.1 0.752 0.1%
94 690.9 1.497 0.2%
95 696.5 0.818 0.1%
96 706 1.163 0.1%
97 711.1 1.81 0.2%
98 719.1 2.109 0.2%
99 728.3 0.973 0.1%
100 734.4 0.79 0.1%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 41.71
+ s 6.917
µs

Reads = 2 + (1 * s)
Writes = 1 + (1 * s)
Pallet: "pallet_identity", Extrinsic: "set_subs_old", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 42.5
+ p 2.347
µs

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

-- Extrinsic Time --

Data points distribution:
p mean µs sigma µs %
1 44.34 0.23 0.5%
2 46.68 0.115 0.2%
3 49.16 0.083 0.1%
4 51.76 0.195 0.3%
5 54.03 0.235 0.4%
6 56.46 0.167 0.2%
7 58.48 0.199 0.3%
8 61.06 0.179 0.2%
9 63.63 0.155 0.2%
10 66.1 0.124 0.1%
11 68.6 0.137 0.1%
12 70.64 0.138 0.1%
13 73.04 0.374 0.5%
14 75.13 0.184 0.2%
15 77.89 0.099 0.1%
16 79.96 0.445 0.5%
17 82.55 0.22 0.2%
18 85.25 0.235 0.2%
19 87.33 0.346 0.3%
20 89.62 0.188 0.2%
21 91.9 0.121 0.1%
22 94.14 0.153 0.1%
23 96.68 0.231 0.2%
24 99.05 0.195 0.1%
25 101.5 0.169 0.1%
26 104 0.328 0.3%
27 106.6 0.19 0.1%
28 108.7 0.107 0.0%
29 110.6 0.481 0.4%
30 112.9 0.155 0.1%
31 115.1 0.293 0.2%
32 117.7 0.288 0.2%
33 119.7 0.416 0.3%
34 122.3 0.264 0.2%
35 124.9 0.372 0.2%
36 127.1 0.178 0.1%
37 129.9 0.191 0.1%
38 132.2 0.298 0.2%
39 134.3 0.221 0.1%
40 136.6 0.247 0.1%
41 138.8 0.222 0.1%
42 141.1 0.345 0.2%
43 144 0.273 0.1%
44 146.7 0.228 0.1%
45 148.1 0.328 0.2%
46 150.4 0.318 0.2%
47 152.4 0.32 0.2%
48 154.9 0.334 0.2%
49 157.8 0.21 0.1%
50 160.4 0.371 0.2%
51 162.3 0.409 0.2%
52 164.3 0.322 0.1%
53 167 0.166 0.0%
54 169.2 0.23 0.1%
55 171.6 0.385 0.2%
56 174.1 0.158 0.0%
57 176 0.593 0.3%
58 178.4 0.244 0.1%
59 180.8 0.668 0.3%
60 182.9 0.223 0.1%
61 185.4 0.425 0.2%
62 187.6 0.538 0.2%
63 189.9 0.32 0.1%
64 191.7 0.212 0.1%
65 194.3 0.231 0.1%
66 197.3 0.123 0.0%
67 199.8 0.372 0.1%
68 201.7 0.315 0.1%
69 204.5 0.424 0.2%
70 206.6 0.404 0.1%
71 208.9 0.351 0.1%
72 210.8 0.869 0.4%
73 213.2 0.258 0.1%
74 215.4 0.17 0.0%
75 217.9 0.43 0.1%
76 220.4 0.46 0.2%
77 222.9 0.335 0.1%
78 225.2 0.447 0.1%
79 227.3 0.517 0.2%
80 230.3 0.325 0.1%
81 232.6 0.501 0.2%
82 235.2 0.431 0.1%
83 236.2 0.88 0.3%
84 238.8 0.575 0.2%
85 241.3 0.423 0.1%
86 244.1 0.658 0.2%
87 246.6 0.378 0.1%
88 249.1 0.253 0.1%
89 251.2 0.484 0.1%
90 253.6 0.303 0.1%
91 255.7 0.492 0.1%
92 258.1 0.415 0.1%
93 260.2 0.975 0.3%
94 264 0.403 0.1%
95 266.1 0.474 0.1%
96 269.3 0.691 0.2%
97 271.6 0.694 0.2%
98 273.6 0.546 0.1%
99 276.6 0.28 0.1%
100 278.7 0.383 0.1%

Quality and confidence:
param error
p 0

Model:
Time ~= 42.48
+ p 2.348
µs

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

-- Extrinsic Time --

Model:
Time ~= 51.68
+ r 0.133
+ s 2.333
+ x 0.703
µs

Reads = 2 + (0 * r) + (0 * s) + (0 * x)
Writes = 2 + (0 * r) + (1 * s) + (0 * x)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
r s x mean µs sigma µs %
1 100 100 355.7 0.913 0.2%
2 100 100 356.1 0.965 0.2%
3 100 100 355.4 0.661 0.1%
4 100 100 356 0.648 0.1%
5 100 100 356.4 0.996 0.2%
6 100 100 355.9 1.007 0.2%
7 100 100 355.4 0.614 0.1%
8 100 100 356.2 0.703 0.1%
9 100 100 356.6 0.772 0.2%
10 100 100 356.5 0.691 0.1%
11 100 100 357.5 0.31 0.0%
12 100 100 356.6 0.965 0.2%
13 100 100 356.8 0.796 0.2%
14 100 100 356.7 0.78 0.2%
15 100 100 356.5 0.545 0.1%
16 100 100 357.2 0.705 0.1%
17 100 100 357.4 0.912 0.2%
18 100 100 357.8 0.839 0.2%
19 100 100 357.7 0.762 0.2%
20 1 100 127.1 0.156 0.1%
20 2 100 129.8 0.184 0.1%
20 3 100 131.8 0.11 0.0%
20 4 100 134.5 0.195 0.1%
20 5 100 136.8 0.251 0.1%
20 6 100 138.9 0.205 0.1%
20 7 100 141.8 0.113 0.0%
20 8 100 144.9 0.162 0.1%
20 9 100 146.8 0.181 0.1%
20 10 100 148.6 0.179 0.1%
20 11 100 151.3 0.223 0.1%
20 12 100 153.3 0.169 0.1%
20 13 100 156.2 0.136 0.0%
20 14 100 158.3 0.151 0.0%
20 15 100 160.4 0.287 0.1%
20 16 100 162.7 0.228 0.1%
20 17 100 165.4 0.332 0.2%
20 18 100 167.5 0.249 0.1%
20 19 100 170.1 0.196 0.1%
20 20 100 172.1 0.334 0.1%
20 21 100 174.7 0.338 0.1%
20 22 100 176.8 0.207 0.1%
20 23 100 179.3 0.237 0.1%
20 24 100 181.9 0.265 0.1%
20 25 100 184.2 0.179 0.0%
20 26 100 186.8 0.337 0.1%
20 27 100 188.6 0.244 0.1%
20 28 100 190.9 0.318 0.1%
20 29 100 193.5 0.316 0.1%
20 30 100 195.6 0.332 0.1%
20 31 100 197.4 0.684 0.3%
20 32 100 200.4 0.232 0.1%
20 33 100 202.8 0.257 0.1%
20 34 100 204.9 0.193 0.0%
20 35 100 207.2 0.259 0.1%
20 36 100 209.2 0.286 0.1%
20 37 100 211.6 0.492 0.2%
20 38 100 213.1 0.618 0.2%
20 39 100 217.1 0.693 0.3%
20 40 100 218.6 0.471 0.2%
20 41 100 220.4 0.548 0.2%
20 42 100 223.4 0.195 0.0%
20 43 100 225.6 0.395 0.1%
20 44 100 227.5 0.228 0.1%
20 45 100 230 0.365 0.1%
20 46 100 232 0.402 0.1%
20 47 100 234.2 0.359 0.1%
20 48 100 236.7 0.508 0.2%
20 49 100 239.5 0.282 0.1%
20 50 100 242.1 0.372 0.1%
20 51 100 244.7 0.291 0.1%
20 52 100 246.8 0.235 0.0%
20 53 100 250 0.317 0.1%
20 54 100 251.9 0.703 0.2%
20 55 100 254.4 0.495 0.1%
20 56 100 256.8 0.239 0.0%
20 57 100 259.5 0.364 0.1%
20 58 100 261.6 0.259 0.0%
20 59 100 263.7 0.497 0.1%
20 60 100 266.6 0.33 0.1%
20 61 100 267.5 0.487 0.1%
20 62 100 270.8 0.345 0.1%
20 63 100 273.5 0.299 0.1%
20 64 100 274.8 0.371 0.1%
20 65 100 277.6 0.372 0.1%
20 66 100 279.3 0.422 0.1%
20 67 100 283.5 2.082 0.7%
20 68 100 284.2 0.308 0.1%
20 69 100 286.4 0.427 0.1%
20 70 100 289.1 0.593 0.2%
20 71 100 291.3 0.469 0.1%
20 72 100 293.6 0.314 0.1%
20 73 100 296.1 0.418 0.1%
20 74 100 298.4 0.627 0.2%
20 75 100 300.4 0.924 0.3%
20 76 100 302.2 0.543 0.1%
20 77 100 304.5 0.421 0.1%
20 78 100 307.1 0.363 0.1%
20 79 100 309.4 0.66 0.2%
20 80 100 311.2 0.684 0.2%
20 81 100 313.4 0.699 0.2%
20 82 100 316.6 0.483 0.1%
20 83 100 318.7 0.585 0.1%
20 84 100 321.2 0.749 0.2%
20 85 100 323.2 0.547 0.1%
20 86 100 331.8 8.464 2.5%
20 87 100 334.5 10.08 3.0%
20 88 100 330.6 0.364 0.1%
20 89 100 332.8 0.384 0.1%
20 90 100 335 0.432 0.1%
20 91 100 337.8 0.268 0.0%
20 92 100 339.4 0.964 0.2%
20 93 100 341.7 0.697 0.2%
20 94 100 351.9 1.649 0.4%
20 95 100 355.5 0.787 0.2%
20 96 100 349.4 0.536 0.1%
20 97 100 351.8 0.371 0.1%
20 98 100 354.8 0.97 0.2%
20 99 100 355.7 1.342 0.3%
20 100 1 289.5 0.658 0.2%
20 100 2 290 0.691 0.2%
20 100 3 291.3 0.678 0.2%
20 100 4 292.2 0.582 0.1%
20 100 5 291.8 0.987 0.3%
20 100 6 293.7 0.683 0.2%
20 100 7 294.5 0.45 0.1%
20 100 8 294 0.637 0.2%
20 100 9 294.7 1.277 0.4%
20 100 10 296.5 0.648 0.2%
20 100 11 295.7 0.879 0.2%
20 100 12 297.4 0.839 0.2%
20 100 13 297 0.805 0.2%
20 100 14 298.2 0.502 0.1%
20 100 15 299.5 0.957 0.3%
20 100 16 300 0.885 0.2%
20 100 17 300.2 0.533 0.1%
20 100 18 301 0.494 0.1%
20 100 19 301.6 0.523 0.1%
20 100 20 302.5 0.698 0.2%
20 100 21 302.8 0.393 0.1%
20 100 22 303.9 0.5 0.1%
20 100 23 303.9 0.237 0.0%
20 100 24 304.7 0.425 0.1%
20 100 25 305.8 0.701 0.2%
20 100 26 305.9 0.399 0.1%
20 100 27 306.6 0.638 0.2%
20 100 28 306.8 1.187 0.3%
20 100 29 307.8 0.468 0.1%
20 100 30 308.4 0.735 0.2%
20 100 31 309.4 0.433 0.1%
20 100 32 310.1 0.711 0.2%
20 100 33 311 0.872 0.2%
20 100 34 311.8 0.62 0.1%
20 100 35 311.3 0.649 0.2%
20 100 36 312.1 0.6 0.1%
20 100 37 313.5 0.495 0.1%
20 100 38 313.6 0.303 0.0%
20 100 39 314.3 0.685 0.2%
20 100 40 315.2 0.629 0.1%
20 100 41 315.9 0.591 0.1%
20 100 42 315.8 0.913 0.2%
20 100 43 316.8 0.43 0.1%
20 100 44 317.8 0.83 0.2%
20 100 45 318.2 0.682 0.2%
20 100 46 317.4 0.7 0.2%
20 100 47 319.2 0.836 0.2%
20 100 48 319.6 0.67 0.2%
20 100 49 321.4 0.572 0.1%
20 100 50 321.8 1.202 0.3%
20 100 51 322.9 0.517 0.1%
20 100 52 323 0.311 0.0%
20 100 53 324.6 0.55 0.1%
20 100 54 324.3 0.508 0.1%
20 100 55 325.1 0.914 0.2%
20 100 56 325.6 0.779 0.2%
20 100 57 329.7 0.294 0.0%
20 100 58 330.3 0.503 0.1%
20 100 59 331.5 0.68 0.2%
20 100 60 332 0.629 0.1%
20 100 61 332.2 0.672 0.2%
20 100 62 333.1 0.586 0.1%
20 100 63 332.5 1.086 0.3%
20 100 64 334.5 0.808 0.2%
20 100 65 334.9 0.564 0.1%
20 100 66 335.3 0.511 0.1%
20 100 67 336.2 0.607 0.1%
20 100 68 337.5 0.532 0.1%
20 100 69 337 0.742 0.2%
20 100 70 337.9 1.153 0.3%
20 100 71 338.9 0.49 0.1%
20 100 72 339.2 0.361 0.1%
20 100 73 339.6 0.267 0.0%
20 100 74 340.5 0.853 0.2%
20 100 75 340.9 0.584 0.1%
20 100 76 343.1 0.64 0.1%
20 100 77 342.4 0.423 0.1%
20 100 78 343.7 1.114 0.3%
20 100 79 344.1 0.651 0.1%
20 100 80 345 0.686 0.1%
20 100 81 345.5 0.795 0.2%
20 100 82 345.9 0.556 0.1%
20 100 83 346.9 0.667 0.1%
20 100 84 347.9 0.603 0.1%
20 100 85 348 0.363 0.1%
20 100 86 349.6 0.716 0.2%
20 100 87 349.1 0.625 0.1%
20 100 88 350.3 0.88 0.2%
20 100 89 350.8 0.755 0.2%
20 100 90 351.6 0.382 0.1%
20 100 91 352.8 0.346 0.0%
20 100 92 352.9 0.721 0.2%
20 100 93 353.2 0.848 0.2%
20 100 94 354.5 0.772 0.2%
20 100 95 354.9 0.531 0.1%
20 100 96 355.5 0.845 0.2%
20 100 97 355.4 0.898 0.2%
20 100 98 356.1 0.447 0.1%
20 100 99 356.9 0.297 0.0%
20 100 100 358.3 0.704 0.1%

Quality and confidence:
param error
r 0.011
s 0.001
x 0.001

Model:
Time ~= 50.27
+ r 0.207
+ s 2.334
+ x 0.711
µs

Reads = 2 + (0 * r) + (0 * s) + (0 * x)
Writes = 2 + (0 * r) + (1 * s) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "request_judgement", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 56.87
+ r 0.258
+ x 1.375
µs

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

-- Extrinsic Time --

Data points distribution:
r x mean µs sigma µs %
1 100 194.2 0.408 0.2%
2 100 194.5 0.203 0.1%
3 100 194.8 0.093 0.0%
4 100 195.4 0.092 0.0%
5 100 196.2 0.127 0.0%
6 100 196 0.181 0.0%
7 100 196.1 0.148 0.0%
8 100 196.5 0.208 0.1%
9 100 197.1 0.21 0.1%
10 100 197.5 0.153 0.0%
11 100 197.1 0.146 0.0%
12 100 197.5 0.077 0.0%
13 100 198 0.313 0.1%
14 100 198.3 0.197 0.0%
15 100 198.1 0.163 0.0%
16 100 198.7 0.176 0.0%
17 100 198.6 0.165 0.0%
18 100 198.7 0.16 0.0%
19 100 199.2 0.102 0.0%
20 1 64.67 0.118 0.1%
20 2 65.75 0.129 0.1%
20 3 66.83 0.164 0.2%
20 4 68.39 0.133 0.1%
20 5 69.6 0.133 0.1%
20 6 70.93 0.099 0.1%
20 7 72.71 0.165 0.2%
20 8 73.87 0.223 0.3%
20 9 75.59 0.167 0.2%
20 10 76.47 0.085 0.1%
20 11 77.93 0.233 0.2%
20 12 79.08 0.086 0.1%
20 13 80.16 0.109 0.1%
20 14 81.78 0.135 0.1%
20 15 82.85 0.145 0.1%
20 16 83.95 0.152 0.1%
20 17 86.6 0.161 0.1%
20 18 87.73 0.098 0.1%
20 19 89.05 0.152 0.1%
20 20 90.1 0.16 0.1%
20 21 91.58 0.184 0.2%
20 22 93.2 0.767 0.8%
20 23 93.87 0.084 0.0%
20 24 95.02 0.18 0.1%
20 25 96.21 0.033 0.0%
20 26 97.57 0.108 0.1%
20 27 98.71 0.125 0.1%
20 28 100.4 0.129 0.1%
20 29 101.2 0.169 0.1%
20 30 102.5 0.251 0.2%
20 31 103.8 0.124 0.1%
20 32 104.7 0.076 0.0%
20 33 106.1 0.082 0.0%
20 34 107.4 0.17 0.1%
20 35 108.7 0.185 0.1%
20 36 109.8 0.14 0.1%
20 37 110.8 0.102 0.0%
20 38 112.4 0.115 0.1%
20 39 116.1 0.081 0.0%
20 40 117.3 0.18 0.1%
20 41 118.3 0.067 0.0%
20 42 119.8 0.107 0.0%
20 43 121 0.116 0.0%
20 44 122.3 0.104 0.0%
20 45 123.7 0.134 0.1%
20 46 124.4 0.141 0.1%
20 47 126.1 0.148 0.1%
20 48 127.3 0.09 0.0%
20 49 128.2 0.168 0.1%
20 50 129.5 0.096 0.0%
20 51 130.7 0.115 0.0%
20 52 131.8 0.085 0.0%
20 53 133.2 0.14 0.1%
20 54 134.3 0.155 0.1%
20 55 136 0.147 0.1%
20 56 137.2 0.214 0.1%
20 57 141.5 0.195 0.1%
20 58 143.2 0.171 0.1%
20 59 144.3 0.224 0.1%
20 60 145.4 0.259 0.1%
20 61 146.8 0.154 0.1%
20 62 147.9 0.095 0.0%
20 63 149.3 0.16 0.1%
20 64 150.7 0.174 0.1%
20 65 151.9 0.186 0.1%
20 66 153.2 0.146 0.0%
20 67 154.1 0.123 0.0%
20 68 155.6 0.133 0.0%
20 69 156.5 0.118 0.0%
20 70 158.1 0.083 0.0%
20 71 159.4 0.172 0.1%
20 72 160.5 0.064 0.0%
20 73 161.5 0.126 0.0%
20 74 163.4 0.238 0.1%
20 75 164.2 0.06 0.0%
20 76 165.3 0.193 0.1%
20 77 166.4 0.201 0.1%
20 78 167.8 0.135 0.0%
20 79 169 0.151 0.0%
20 80 170.5 0.093 0.0%
20 81 176.1 0.176 0.0%
20 82 177.4 0.097 0.0%
20 83 178.9 0.16 0.0%
20 84 180.1 0.235 0.1%
20 85 181.2 0.129 0.0%
20 86 182.3 0.118 0.0%
20 87 183.4 0.161 0.0%
20 88 184.6 0.088 0.0%
20 89 186.1 0.189 0.1%
20 90 187.1 0.104 0.0%
20 91 188.3 0.14 0.0%
20 92 189.5 0.111 0.0%
20 93 191.2 0.143 0.0%
20 94 192.4 0.183 0.0%
20 95 193.3 0.099 0.0%
20 96 194.5 0.22 0.1%
20 97 195.8 0.238 0.1%
20 98 197.1 0.058 0.0%
20 99 198.5 0.159 0.0%
20 100 199.5 0.141 0.0%

Quality and confidence:
param error
r 0.008
x 0.001

Model:
Time ~= 56.31
+ r 0.282
+ x 1.379
µs

Reads = 2 + (0 * r) + (0 * x)
Writes = 1 + (0 * r) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "cancel_request", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 52.39
+ r 0.059
+ x 1.359
µs

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

-- Extrinsic Time --

Data points distribution:
r x mean µs sigma µs %
1 100 187.9 0.186 0.0%
2 100 187.8 0.23 0.1%
3 100 188 0.183 0.0%
4 100 188.7 0.138 0.0%
5 100 189.2 0.111 0.0%
6 100 188.9 0.155 0.0%
7 100 189.1 0.225 0.1%
8 100 188.9 0.113 0.0%
9 100 188.8 0.136 0.0%
10 100 189.2 0.168 0.0%
11 100 189.1 0.158 0.0%
12 100 189.1 0.2 0.1%
13 100 189.5 0.125 0.0%
14 100 189 0.222 0.1%
15 100 189.2 0.152 0.0%
16 100 189.2 0.13 0.0%
17 100 189.1 0.063 0.0%
18 100 188.8 0.108 0.0%
19 100 189.6 0.156 0.0%
20 1 56.73 0.126 0.2%
20 2 57.73 0.153 0.2%
20 3 59.32 0.2 0.3%
20 4 60.6 0.118 0.1%
20 5 62.37 0.136 0.2%
20 6 63.92 0.121 0.1%
20 7 65.13 0.14 0.2%
20 8 66.08 0.102 0.1%
20 9 67.27 0.141 0.2%
20 10 68.5 0.107 0.1%
20 11 70.01 0.097 0.1%
20 12 71.27 0.101 0.1%
20 13 73.6 0.11 0.1%
20 14 74.47 0.125 0.1%
20 15 76.13 0.142 0.1%
20 16 77.24 0.123 0.1%
20 17 78.42 0.148 0.1%
20 18 79.68 0.088 0.1%
20 19 80.97 0.116 0.1%
20 20 82.15 0.142 0.1%
20 21 83.45 0.083 0.0%
20 22 84.7 0.167 0.1%
20 23 85.99 0.132 0.1%
20 24 87.11 0.104 0.1%
20 25 88.48 0.157 0.1%
20 26 89.49 0.084 0.0%
20 27 90.65 0.114 0.1%
20 28 92.25 0.139 0.1%
20 29 95.43 0.154 0.1%
20 30 96.52 0.173 0.1%
20 31 97.54 0.084 0.0%
20 32 98.76 0.155 0.1%
20 33 100.2 0.231 0.2%
20 34 101.5 0.112 0.1%
20 35 102.4 0.131 0.1%
20 36 103.5 0.114 0.1%
20 37 105.1 0.145 0.1%
20 38 106.1 0.097 0.0%
20 39 107.6 0.108 0.1%
20 40 108.8 0.106 0.0%
20 41 109.9 0.125 0.1%
20 42 111.4 0.163 0.1%
20 43 112.4 0.094 0.0%
20 44 113.8 0.123 0.1%
20 45 115.1 0.146 0.1%
20 46 116.2 0.095 0.0%
20 47 117.4 0.101 0.0%
20 48 118.7 0.174 0.1%
20 49 119.7 0.152 0.1%
20 50 121 0.084 0.0%
20 51 122.2 0.204 0.1%
20 52 123.4 0.124 0.1%
20 53 124.4 0.178 0.1%
20 54 125.9 0.218 0.1%
20 55 127.9 1.404 1.0%
20 56 137 9.064 6.6%
20 57 133.8 0.38 0.2%
20 58 140.3 9.891 7.0%
20 59 140.7 8.735 6.2%
20 60 140.4 6.688 4.7%
20 61 138.5 0.365 0.2%
20 62 143.3 0.219 0.1%
20 63 144.9 0.192 0.1%
20 64 145.7 0.227 0.1%
20 65 147.5 0.314 0.2%
20 66 148.6 0.167 0.1%
20 67 149.7 0.202 0.1%
20 68 150.6 0.145 0.0%
20 69 153 1.399 0.9%
20 70 153.6 0.21 0.1%
20 71 154 0.092 0.0%
20 72 155.6 0.114 0.0%
20 73 156.6 0.244 0.1%
20 74 158.1 0.196 0.1%
20 75 158.9 0.138 0.0%
20 76 160 0.188 0.1%
20 77 161.6 0.123 0.0%
20 78 162.6 0.094 0.0%
20 79 163.9 0.156 0.0%
20 80 165.2 0.262 0.1%
20 81 166.3 0.201 0.1%
20 82 167.7 0.159 0.0%
20 83 169.2 0.159 0.0%
20 84 170 0.168 0.0%
20 85 171.6 0.138 0.0%
20 86 172.5 0.176 0.1%
20 87 173.9 0.123 0.0%
20 88 175.1 0.127 0.0%
20 89 176.1 0.182 0.1%
20 90 177.2 0.086 0.0%
20 91 178.3 0.111 0.0%
20 92 179.7 0.143 0.0%
20 93 180.6 0.174 0.0%
20 94 182 0.154 0.0%
20 95 183.2 0.137 0.0%
20 96 185 0.128 0.0%
20 97 186.1 0.165 0.0%
20 98 187.1 0.192 0.1%
20 99 188.5 0.132 0.0%
20 100 189.5 0.099 0.0%

Quality and confidence:
param error
r 0.018
x 0.002

Model:
Time ~= 50.75
+ r 0.223
+ x 1.364
µs

Reads = 1 + (0 * r) + (0 * x)
Writes = 1 + (0 * r) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "set_fee", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 7.747
+ r 0.307
µs

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

-- Extrinsic Time --

Data points distribution:
r mean µs sigma µs %
1 7.91 0.083 1.0%
2 8.26 0.066 0.7%
3 8.635 0.024 0.2%
4 9.027 0.041 0.4%
5 9.353 0.043 0.4%
6 9.579 0.028 0.2%
7 9.871 0.027 0.2%
8 10.17 0.036 0.3%
9 10.63 0.044 0.4%
10 10.8 0.064 0.5%
11 11.2 0.025 0.2%
12 11.42 0.05 0.4%
13 11.79 0.03 0.2%
14 12.1 0.042 0.3%
15 12.4 0.041 0.3%
16 12.59 0.054 0.4%
17 12.91 0.059 0.4%
18 13.23 0.041 0.3%
19 13.49 0.046 0.3%

Quality and confidence:
param error
r 0.001

Model:
Time ~= 7.73
+ r 0.308
µs

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

-- Extrinsic Time --

Model:
Time ~= 8.726
+ r 0.304
µs

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

-- Extrinsic Time --

Data points distribution:
r mean µs sigma µs %
1 8.79 0.056 0.6%
2 9.156 0.047 0.5%
3 9.634 0.054 0.5%
4 9.959 0.077 0.7%
5 10.31 0.042 0.4%
6 10.63 0.051 0.4%
7 10.91 0.05 0.4%
8 11.33 0.043 0.3%
9 11.47 0.053 0.4%
10 11.79 0.056 0.4%
11 12.12 0.057 0.4%
12 12.46 0.047 0.3%
13 12.79 0.046 0.3%
14 12.9 0.051 0.3%
15 13.25 0.038 0.2%
16 13.44 0.053 0.3%
17 13.89 0.046 0.3%
18 14.15 0.046 0.3%
19 14.45 0.042 0.2%

Quality and confidence:
param error
r 0.001

Model:
Time ~= 8.712
+ r 0.305
µs

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

-- Extrinsic Time --

Model:
Time ~= 7.919
+ r 0.298
µs

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

-- Extrinsic Time --

Data points distribution:
r mean µs sigma µs %
1 7.941 0.075 0.9%
2 8.384 0.024 0.2%
3 8.789 0.045 0.5%
4 9.12 0.034 0.3%
5 9.429 0.032 0.3%
6 9.721 0.028 0.2%
7 10.07 0.032 0.3%
8 10.43 0.036 0.3%
9 10.73 0.035 0.3%
10 10.9 0.047 0.4%
11 11.24 0.041 0.3%
12 11.52 0.058 0.5%
13 11.86 0.062 0.5%
14 12.09 0.044 0.3%
15 12.33 0.038 0.3%
16 12.63 0.054 0.4%
17 12.95 0.046 0.3%
18 13.24 0.044 0.3%
19 13.46 0.048 0.3%

Quality and confidence:
param error
r 0.001

Model:
Time ~= 7.891
+ r 0.3
µs

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

-- Extrinsic Time --

Model:
Time ~= 36.63
+ r 0.239
+ x 1.368
µs

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

-- Extrinsic Time --

Data points distribution:
r x mean µs sigma µs %
1 100 173.2 0.086 0.0%
2 100 173.5 0.091 0.0%
3 100 173.5 0.112 0.0%
4 100 174.4 0.206 0.1%
5 100 175.1 0.131 0.0%
6 100 175.7 0.177 0.1%
7 100 175.3 0.105 0.0%
8 100 175.5 0.09 0.0%
9 100 175.7 0.162 0.0%
10 100 175.9 0.182 0.1%
11 100 176.1 0.11 0.0%
12 100 176.4 0.113 0.0%
13 100 176.6 0.124 0.0%
14 100 176.7 0.102 0.0%
15 100 177.1 0.118 0.0%
16 100 177.2 0.178 0.1%
17 100 177.1 0.216 0.1%
18 100 177.6 0.083 0.0%
19 1 42.91 0.118 0.2%
19 2 44.87 0.116 0.2%
19 3 45.95 0.098 0.2%
19 4 47.31 0.102 0.2%
19 5 48.44 0.117 0.2%
19 6 49.76 0.109 0.2%
19 7 51.62 0.106 0.2%
19 8 53.14 0.13 0.2%
19 9 54.07 0.099 0.1%
19 10 55.66 0.099 0.1%
19 11 56.83 0.052 0.0%
19 12 57.87 0.14 0.2%
19 13 59.15 0.057 0.0%
19 14 60.33 0.124 0.2%
19 15 61.61 0.059 0.0%
19 16 62.86 0.037 0.0%
19 17 64.03 0.084 0.1%
19 18 66.69 0.086 0.1%
19 19 68.25 0.111 0.1%
19 20 68.9 0.103 0.1%
19 21 70.46 0.115 0.1%
19 22 71.52 0.068 0.0%
19 23 72.79 0.084 0.1%
19 24 74.27 0.064 0.0%
19 25 75.48 0.115 0.1%
19 26 76.46 0.097 0.1%
19 27 77.87 0.074 0.0%
19 28 78.94 0.088 0.1%
19 29 80.24 0.082 0.1%
19 30 81.33 0.08 0.0%
19 31 82.68 0.119 0.1%
19 32 84.23 0.102 0.1%
19 33 85.49 0.126 0.1%
19 34 86.46 0.148 0.1%
19 35 87.71 0.099 0.1%
19 36 88.9 0.112 0.1%
19 37 89.9 0.054 0.0%
19 38 91.33 0.086 0.0%
19 39 95.01 0.09 0.0%
19 40 96.1 0.084 0.0%
19 41 97.38 0.061 0.0%
19 42 98.89 0.082 0.0%
19 43 100.1 0.06 0.0%
19 44 101.2 0.137 0.1%
19 45 102.4 0.115 0.1%
19 46 103.6 0.12 0.1%
19 47 105.1 0.082 0.0%
19 48 106.1 0.082 0.0%
19 49 107.2 0.087 0.0%
19 50 108.7 0.153 0.1%
19 51 109.8 0.089 0.0%
19 52 110.9 0.162 0.1%
19 53 112.1 0.121 0.1%
19 54 113.5 0.106 0.0%
19 55 114.9 0.14 0.1%
19 56 116 0.067 0.0%
19 57 120.5 0.15 0.1%
19 58 121.8 0.096 0.0%
19 59 123.1 0.143 0.1%
19 60 124.3 0.144 0.1%
19 61 125.7 0.062 0.0%
19 62 126.8 0.08 0.0%
19 63 127.8 0.105 0.0%
19 64 129.4 0.146 0.1%
19 65 130.4 0.126 0.0%
19 66 131.8 0.109 0.0%
19 67 133.1 0.142 0.1%
19 68 134 0.106 0.0%
19 69 135.3 0.072 0.0%
19 70 136.8 0.09 0.0%
19 71 137.8 0.078 0.0%
19 72 139.1 0.119 0.0%
19 73 140.2 0.081 0.0%
19 74 141.5 0.195 0.1%
19 75 142.6 0.143 0.1%
19 76 144 0.088 0.0%
19 77 145.1 0.096 0.0%
19 78 146.3 0.101 0.0%
19 79 147.7 0.157 0.1%
19 80 148.7 0.124 0.0%
19 81 149.9 0.101 0.0%
19 82 156.1 0.062 0.0%
19 83 157 0.084 0.0%
19 84 158.3 0.188 0.1%
19 85 159.6 0.165 0.1%
19 86 160.8 0.134 0.0%
19 87 162.1 0.206 0.1%
19 88 163.4 0.057 0.0%
19 89 164.6 0.134 0.0%
19 90 165.7 0.093 0.0%
19 91 167.1 0.153 0.0%
19 92 168 0.129 0.0%
19 93 169.5 0.119 0.0%
19 94 170.9 0.083 0.0%
19 95 172 0.201 0.1%
19 96 172.9 0.149 0.0%
19 97 174.1 0.15 0.0%
19 98 175.5 0.098 0.0%
19 99 176.8 0.211 0.1%
19 100 178 0.124 0.0%

Quality and confidence:
param error
r 0.008
x 0.001

Model:
Time ~= 36.07
+ r 0.26
+ x 1.373
µs

Reads = 2 + (0 * r) + (0 * x)
Writes = 1 + (0 * r) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "kill_identity", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 66.44
+ r 0.161
+ s 2.335
+ x 0
µs

Reads = 3 + (0 * r) + (0 * s) + (0 * x)
Writes = 3 + (0 * r) + (1 * s) + (0 * x)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
r s x mean µs sigma µs %
1 100 100 299.8 0.491 0.1%
2 100 100 300.3 0.799 0.2%
3 100 100 300.4 0.682 0.2%
4 100 100 300.1 0.839 0.2%
5 100 100 300.5 0.38 0.1%
6 100 100 299.8 0.645 0.2%
7 100 100 300.1 0.394 0.1%
8 100 100 299.6 1.691 0.5%
9 100 100 300.9 0.403 0.1%
10 100 100 301.7 0.537 0.1%
11 100 100 300.6 0.562 0.1%
12 100 100 301.1 0.454 0.1%
13 100 100 301 0.458 0.1%
14 100 100 303.4 0.599 0.1%
15 100 100 302.6 0.833 0.2%
16 100 100 307.3 1.983 0.6%
17 100 100 303.3 0.702 0.2%
18 100 100 303.8 0.587 0.1%
19 100 100 301.5 0.805 0.2%
20 1 100 70.45 0.177 0.2%
20 2 100 73.31 0.19 0.2%
20 3 100 75.74 0.156 0.2%
20 4 100 78.11 0.132 0.1%
20 5 100 80.65 0.273 0.3%
20 6 100 83.22 0.225 0.2%
20 7 100 85.36 0.183 0.2%
20 8 100 88 0.304 0.3%
20 9 100 89.9 0.22 0.2%
20 10 100 92.47 0.166 0.1%
20 11 100 94.88 0.246 0.2%
20 12 100 97.94 0.352 0.3%
20 13 100 99.78 0.168 0.1%
20 14 100 101.8 0.404 0.3%
20 15 100 104.5 0.269 0.2%
20 16 100 106.2 0.222 0.2%
20 17 100 109 0.235 0.2%
20 18 100 111.2 0.298 0.2%
20 19 100 113.7 0.151 0.1%
20 20 100 115.9 0.243 0.2%
20 21 100 118.3 0.243 0.2%
20 22 100 120.2 0.193 0.1%
20 23 100 123.2 0.247 0.2%
20 24 100 125.4 0.145 0.1%
20 25 100 127.8 0.193 0.1%
20 26 100 130.3 0.199 0.1%
20 27 100 132.3 0.219 0.1%
20 28 100 134.5 0.146 0.1%
20 29 100 136.7 0.182 0.1%
20 30 100 139.5 0.109 0.0%
20 31 100 141.6 0.272 0.1%
20 32 100 144.2 0.33 0.2%
20 33 100 146.2 0.329 0.2%
20 34 100 148.7 0.38 0.2%
20 35 100 151.1 0.41 0.2%
20 36 100 153.8 0.201 0.1%
20 37 100 155.6 0.52 0.3%
20 38 100 157.5 0.36 0.2%
20 39 100 159.8 0.347 0.2%
20 40 100 162.5 0.256 0.1%
20 41 100 168.3 3.874 2.3%
20 42 100 170.1 1.941 1.1%
20 43 100 173 1.154 0.6%
20 44 100 171.6 0.503 0.2%
20 45 100 175.4 0.959 0.5%
20 46 100 176.6 1.341 0.7%
20 47 100 178.9 0.419 0.2%
20 48 100 180.9 0.301 0.1%
20 49 100 183.7 0.366 0.1%
20 50 100 186.4 0.514 0.2%
20 51 100 188.1 0.474 0.2%
20 52 100 191.6 0.195 0.1%
20 53 100 193.7 0.504 0.2%
20 54 100 196 0.489 0.2%
20 55 100 198.6 0.613 0.3%
20 56 100 200.5 0.37 0.1%
20 57 100 202.8 0.258 0.1%
20 58 100 205 0.679 0.3%
20 59 100 207.8 0.42 0.2%
20 60 100 210.3 0.59 0.2%
20 61 100 212.1 0.496 0.2%
20 62 100 214.3 0.365 0.1%
20 63 100 217 0.403 0.1%
20 64 100 218.9 0.349 0.1%
20 65 100 222 0.696 0.3%
20 66 100 223.9 0.353 0.1%
20 67 100 225.4 0.767 0.3%
20 68 100 228.2 0.326 0.1%
20 69 100 230.2 0.311 0.1%
20 70 100 233.1 0.409 0.1%
20 71 100 235.2 0.341 0.1%
20 72 100 238.3 0.541 0.2%
20 73 100 240.1 0.469 0.1%
20 74 100 241.7 0.614 0.2%
20 75 100 243.7 0.529 0.2%
20 76 100 246.4 0.559 0.2%
20 77 100 248.5 0.437 0.1%
20 78 100 251.6 0.366 0.1%
20 79 100 253.9 0.501 0.1%
20 80 100 255.3 0.709 0.2%
20 81 100 258.1 0.362 0.1%
20 82 100 260.5 0.764 0.2%
20 83 100 262.5 0.949 0.3%
20 84 100 264.5 0.649 0.2%
20 85 100 266.5 0.774 0.2%
20 86 100 268.7 1.34 0.4%
20 87 100 272.4 0.335 0.1%
20 88 100 273.7 0.706 0.2%
20 89 100 276.5 0.553 0.1%
20 90 100 278.3 0.893 0.3%
20 91 100 281.3 0.936 0.3%
20 92 100 283.4 0.657 0.2%
20 93 100 285 0.624 0.2%
20 94 100 289 0.448 0.1%
20 95 100 290.9 0.564 0.1%
20 96 100 293.6 0.372 0.1%
20 97 100 295.5 0.211 0.0%
20 98 100 298.3 0.515 0.1%
20 99 100 300.1 0.609 0.2%
20 100 1 302.5 0.66 0.2%
20 100 2 302 0.667 0.2%
20 100 3 303 0.603 0.1%
20 100 4 302.5 0.493 0.1%
20 100 5 302.3 0.531 0.1%
20 100 6 302 0.833 0.2%
20 100 7 302.1 0.417 0.1%
20 100 8 303.1 0.498 0.1%
20 100 9 302.3 0.396 0.1%
20 100 10 301.9 0.468 0.1%
20 100 11 302.4 1.059 0.3%
20 100 12 302.4 0.612 0.2%
20 100 13 301.8 0.544 0.1%
20 100 14 302.2 0.922 0.3%
20 100 15 302.4 0.854 0.2%
20 100 16 302.7 0.598 0.1%
20 100 17 302.7 0.538 0.1%
20 100 18 301.8 0.553 0.1%
20 100 19 303.2 0.35 0.1%
20 100 20 304.9 5.429 1.7%
20 100 21 302.1 0.741 0.2%
20 100 22 302.2 0.334 0.1%
20 100 23 302.5 0.99 0.3%
20 100 24 302.1 0.559 0.1%
20 100 25 302 0.558 0.1%
20 100 26 302.7 0.997 0.3%
20 100 27 302.5 0.647 0.2%
20 100 28 302.5 0.549 0.1%
20 100 29 304.2 1.06 0.3%
20 100 30 302.3 0.347 0.1%
20 100 31 302 0.681 0.2%
20 100 32 302.6 0.48 0.1%
20 100 33 302.9 0.694 0.2%
20 100 34 302.5 0.449 0.1%
20 100 35 303 0.647 0.2%
20 100 36 302.9 0.578 0.1%
20 100 37 302.9 0.671 0.2%
20 100 38 302.6 0.399 0.1%
20 100 39 302.7 0.63 0.2%
20 100 40 302.3 0.748 0.2%
20 100 41 303.6 0.713 0.2%
20 100 42 302.4 0.579 0.1%
20 100 43 302.5 0.631 0.2%
20 100 44 302.4 0.274 0.0%
20 100 45 301.3 0.677 0.2%
20 100 46 301.9 0.519 0.1%
20 100 47 302.4 0.569 0.1%
20 100 48 303.1 0.975 0.3%
20 100 49 301.7 0.698 0.2%
20 100 50 302.5 0.747 0.2%
20 100 51 302.3 0.367 0.1%
20 100 52 302 0.954 0.3%
20 100 53 303.1 0.611 0.2%
20 100 54 302.7 0.432 0.1%
20 100 55 302.4 0.504 0.1%
20 100 56 302.4 1.041 0.3%
20 100 57 302 0.801 0.2%
20 100 58 301.9 0.61 0.2%
20 100 59 302 0.906 0.2%
20 100 60 301.8 0.755 0.2%
20 100 61 302.3 0.653 0.2%
20 100 62 302.3 0.488 0.1%
20 100 63 302 0.39 0.1%
20 100 64 301.5 0.544 0.1%
20 100 65 301.9 0.637 0.2%
20 100 66 301.8 1.034 0.3%
20 100 67 302.5 0.767 0.2%
20 100 68 301.9 0.554 0.1%
20 100 69 302.4 0.975 0.3%
20 100 70 302 0.681 0.2%
20 100 71 302.2 0.492 0.1%
20 100 72 302.4 0.592 0.1%
20 100 73 304 1.54 0.5%
20 100 74 302.4 0.821 0.2%
20 100 75 302.5 0.42 0.1%
20 100 76 301.7 1.218 0.4%
20 100 77 301.5 1.123 0.3%
20 100 78 303 0.648 0.2%
20 100 79 303.1 0.869 0.2%
20 100 80 302.7 0.796 0.2%
20 100 81 302.1 0.589 0.1%
20 100 82 302.4 0.717 0.2%
20 100 83 302 0.741 0.2%
20 100 84 302.2 0.518 0.1%
20 100 85 302 0.52 0.1%
20 100 86 302.8 0.544 0.1%
20 100 87 301.5 0.821 0.2%
20 100 88 302.5 0.435 0.1%
20 100 89 301.8 0.471 0.1%
20 100 90 301.5 0.499 0.1%
20 100 91 303 0.942 0.3%
20 100 92 301.9 0.341 0.1%
20 100 93 302 0.755 0.2%
20 100 94 302.2 0.606 0.2%
20 100 95 303 0.703 0.2%
20 100 96 302.2 0.615 0.2%
20 100 97 301.9 0.849 0.2%
20 100 98 302 0.525 0.1%
20 100 99 301.5 0.471 0.1%
20 100 100 302.2 0.586 0.1%

Quality and confidence:
param error
r 0.007
s 0
x 0

Model:
Time ~= 66.74
+ r 0.136
+ s 2.33
+ x 0.001
µs

Reads = 3 + (0 * r) + (0 * s) + (0 * x)
Writes = 3 + (0 * r) + (1 * s) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "add_sub", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 55.84
+ s 0.219
µs

Reads = 3 + (0 * s)
Writes = 2 + (0 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 55.57 0.23 0.4%
2 55.49 0.192 0.3%
3 55.84 0.251 0.4%
4 56.05 0.291 0.5%
5 56.53 0.125 0.2%
6 56.82 0.135 0.2%
7 57.4 0.063 0.1%
8 57.39 0.181 0.3%
9 57.22 0.099 0.1%
10 57.54 0.076 0.1%
11 57.76 0.129 0.2%
12 58.15 0.183 0.3%
13 58.49 0.117 0.2%
14 58.77 0.098 0.1%
15 59.33 0.088 0.1%
16 59.47 0.17 0.2%
17 59.75 0.133 0.2%
18 59.74 0.2 0.3%
19 60 0.232 0.3%
20 60.45 0.148 0.2%
21 60.36 0.149 0.2%
22 60.89 0.082 0.1%
23 61.19 0.126 0.2%
24 60.8 0.151 0.2%
25 61 0.083 0.1%
26 61.51 0.232 0.3%
27 61.72 0.185 0.2%
28 62.07 0.16 0.2%
29 62.62 0.174 0.2%
30 62.85 0.138 0.2%
31 63.03 0.193 0.3%
32 62.94 0.135 0.2%
33 63.06 0.146 0.2%
34 63.39 0.093 0.1%
35 63.81 0.18 0.2%
36 64.47 0.135 0.2%
37 64.56 0.157 0.2%
38 64.36 0.126 0.1%
39 64.66 0.146 0.2%
40 64.7 0.114 0.1%
41 65.16 0.166 0.2%
42 65.58 0.094 0.1%
43 65.61 0.1 0.1%
44 65.46 0.141 0.2%
45 65.93 0.263 0.3%
46 66.51 0.117 0.1%
47 66.53 0.113 0.1%
48 66.8 0.161 0.2%
49 67.07 0.153 0.2%
50 67.06 0.234 0.3%
51 67.01 0.172 0.2%
52 67.55 0.236 0.3%
53 67.95 0.161 0.2%
54 67.93 0.102 0.1%
55 68.11 0.113 0.1%
56 68.09 0.069 0.1%
57 68.6 0.224 0.3%
58 68.63 0.154 0.2%
59 68.64 0.15 0.2%
60 69.22 0.12 0.1%
61 69.24 0.179 0.2%
62 69.77 0.154 0.2%
63 69.7 0.134 0.1%
64 69.91 0.161 0.2%
65 70.46 0.166 0.2%
66 70.3 0.139 0.1%
67 70.54 0.152 0.2%
68 71.09 0.137 0.1%
69 71.03 0.133 0.1%
70 71.11 0.111 0.1%
71 71.78 0.146 0.2%
72 71.67 0.099 0.1%
73 72.05 0.135 0.1%
74 71.74 0.144 0.2%
75 71.82 0.171 0.2%
76 72.47 0.091 0.1%
77 72.43 0.149 0.2%
78 72.89 0.158 0.2%
79 73.06 0.159 0.2%
80 73.18 0.156 0.2%
81 73.68 0.093 0.1%
82 73.83 0.206 0.2%
83 74.39 0.143 0.1%
84 74.25 0.18 0.2%
85 73.85 0.134 0.1%
86 75.05 0.109 0.1%
87 75.16 0.103 0.1%
88 74.88 0.114 0.1%
89 75.27 0.189 0.2%
90 75.29 0.178 0.2%
91 75.59 0.143 0.1%
92 75.84 0.089 0.1%
93 76.23 0.131 0.1%
94 76.26 0.182 0.2%
95 76.5 0.142 0.1%
96 76.7 0.139 0.1%
97 76.71 0.176 0.2%
98 76.86 0.141 0.1%
99 77.2 0.122 0.1%

Quality and confidence:
param error
s 0

Model:
Time ~= 55.82
+ s 0.22
µs

Reads = 3 + (0 * s)
Writes = 2 + (0 * s)
Pallet: "pallet_identity", Extrinsic: "rename_sub", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 17.17
+ s 0.024
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 16.19 0.037 0.2%
2 16.69 0.094 0.5%
3 17.02 0.074 0.4%
4 17.07 0.056 0.3%
5 17.09 0.091 0.5%
6 17.24 0.081 0.4%
7 17.41 0.069 0.3%
8 17.32 0.054 0.3%
9 17.22 0.047 0.2%
10 17.34 0.084 0.4%
11 17.4 0.045 0.2%
12 17.41 0.065 0.3%
13 17.31 0.057 0.3%
14 17.46 0.054 0.3%
15 17.56 0.088 0.5%
16 17.51 0.048 0.2%
17 17.7 0.057 0.3%
18 17.54 0.069 0.3%
19 17.69 0.104 0.5%
20 17.67 0.081 0.4%
21 17.69 0.077 0.4%
22 17.86 0.077 0.4%
23 17.81 0.036 0.2%
24 17.79 0.116 0.6%
25 17.72 0.078 0.4%
26 17.85 0.053 0.2%
27 17.91 0.085 0.4%
28 18.01 0.097 0.5%
29 18.08 0.074 0.4%
30 18.11 0.061 0.3%
31 18.16 0.108 0.5%
32 18.08 0.079 0.4%
33 18.16 0.087 0.4%
34 18.07 0.113 0.6%
35 18.15 0.063 0.3%
36 18.19 0.077 0.4%
37 18.13 0.066 0.3%
38 18.11 0.066 0.3%
39 18.16 0.047 0.2%
40 18.17 0.046 0.2%
41 18.19 0.096 0.5%
42 18.41 0.061 0.3%
43 18.29 0.111 0.6%
44 18.12 0.063 0.3%
45 18.31 0.069 0.3%
46 18.51 0.077 0.4%
47 18.5 0.072 0.3%
48 18.45 0.06 0.3%
49 18.45 0.072 0.3%
50 18.53 0.073 0.3%
51 18.46 0.095 0.5%
52 18.5 0.07 0.3%
53 18.6 0.113 0.6%
54 18.58 0.071 0.3%
55 18.57 0.115 0.6%
56 18.55 0.101 0.5%
57 18.65 0.062 0.3%
58 18.62 0.076 0.4%
59 18.63 0.078 0.4%
60 18.65 0.087 0.4%
61 18.6 0.068 0.3%
62 18.82 0.065 0.3%
63 18.73 0.085 0.4%
64 18.8 0.07 0.3%
65 18.75 0.083 0.4%
66 18.59 0.041 0.2%
67 18.76 0.083 0.4%
68 18.89 0.069 0.3%
69 18.86 0.09 0.4%
70 18.74 0.075 0.4%
71 18.96 0.069 0.3%
72 19.06 0.101 0.5%
73 18.97 0.09 0.4%
74 18.93 0.089 0.4%
75 18.95 0.036 0.1%
76 18.98 0.058 0.3%
77 18.95 0.053 0.2%
78 19.13 0.068 0.3%
79 19.13 0.095 0.4%
80 19.16 0.066 0.3%
81 19.27 0.079 0.4%
82 19.19 0.068 0.3%
83 19.35 0.128 0.6%
84 19.22 0.08 0.4%
85 19.19 0.07 0.3%
86 19.41 0.058 0.2%
87 19.39 0.074 0.3%
88 19.31 0.057 0.2%
89 19.41 0.066 0.3%
90 19.41 0.077 0.3%
91 19.43 0.04 0.2%
92 19.47 0.099 0.5%
93 19.36 0.078 0.4%
94 19.42 0.078 0.4%
95 19.39 0.117 0.6%
96 19.39 0.103 0.5%
97 19.51 0.095 0.4%
98 19.44 0.092 0.4%
99 19.44 0.042 0.2%
100 19.56 0.08 0.4%

Quality and confidence:
param error
s 0

Model:
Time ~= 17.13
+ s 0.025
µs

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

-- Extrinsic Time --

Model:
Time ~= 57.88
+ s 0.191
µs

Reads = 3 + (0 * s)
Writes = 2 + (0 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 56.31 0.076 0.1%
2 56.93 0.076 0.1%
3 57.48 0.093 0.1%
4 58.02 0.15 0.2%
5 58.22 0.157 0.2%
6 58.57 0.232 0.3%
7 59.1 0.119 0.2%
8 59.17 0.251 0.4%
9 59.19 0.174 0.2%
10 59.33 0.189 0.3%
11 59.59 0.186 0.3%
12 59.95 0.267 0.4%
13 60.34 0.11 0.1%
14 60.47 0.151 0.2%
15 60.68 0.138 0.2%
16 61.2 0.136 0.2%
17 61.29 0.241 0.3%
18 61.05 0.137 0.2%
19 61.51 0.183 0.2%
20 61.68 0.18 0.2%
21 61.69 0.154 0.2%
22 62.38 0.088 0.1%
23 62.64 0.156 0.2%
24 62.6 0.171 0.2%
25 62.68 0.199 0.3%
26 62.78 0.131 0.2%
27 63.21 0.15 0.2%
28 63.62 0.195 0.3%
29 63.97 0.132 0.2%
30 64.07 0.136 0.2%
31 64.34 0.133 0.2%
32 64.36 0.19 0.2%
33 64.6 0.269 0.4%
34 64.63 0.093 0.1%
35 64.73 0.181 0.2%
36 65.44 0.171 0.2%
37 65.42 0.165 0.2%
38 65.43 0.084 0.1%
39 65.57 0.096 0.1%
40 65.48 0.133 0.2%
41 66.16 0.199 0.3%
42 66.27 0.093 0.1%
43 66.37 0.149 0.2%
44 66.02 0.105 0.1%
45 66.71 0.119 0.1%
46 66.99 0.096 0.1%
47 67.33 0.164 0.2%
48 67.38 0.162 0.2%
49 67.47 0.156 0.2%
50 67.64 0.109 0.1%
51 67.46 0.09 0.1%
52 67.98 0.168 0.2%
53 68.3 0.08 0.1%
54 68.45 0.144 0.2%
55 68.52 0.075 0.1%
56 68.57 0.135 0.1%
57 68.83 0.199 0.2%
58 68.84 0.161 0.2%
59 69 0.146 0.2%
60 69.56 0.119 0.1%
61 69.25 0.114 0.1%
62 70.08 0.142 0.2%
63 69.92 0.174 0.2%
64 70.32 0.181 0.2%
65 70.61 0.126 0.1%
66 70.42 0.166 0.2%
67 70.71 0.126 0.1%
68 71.3 0.129 0.1%
69 71.26 0.127 0.1%
70 70.9 0.077 0.1%
71 71.73 0.175 0.2%
72 71.71 0.184 0.2%
73 72.2 0.13 0.1%
74 71.9 0.115 0.1%
75 71.84 0.122 0.1%
76 72.62 0.206 0.2%
77 72.51 0.198 0.2%
78 72.71 0.2 0.2%
79 72.8 0.142 0.1%
80 72.88 0.125 0.1%
81 73.57 0.085 0.1%
82 73.3 0.119 0.1%
83 73.76 0.137 0.1%
84 73.66 0.158 0.2%
85 73.71 0.111 0.1%
86 74.73 0.212 0.2%
87 74.5 0.173 0.2%
88 74.54 0.136 0.1%
89 74.68 0.215 0.2%
90 74.84 0.139 0.1%
91 75.08 0.227 0.3%
92 75.19 0.196 0.2%
93 75.69 0.171 0.2%
94 75.37 0.167 0.2%
95 75.68 0.157 0.2%
96 75.95 0.09 0.1%
97 76.17 0.197 0.2%
98 76.16 0.226 0.2%
99 76.76 0.183 0.2%
100 76.83 0.119 0.1%

Quality and confidence:
param error
s 0

Model:
Time ~= 57.8
+ s 0.192
µs

Reads = 3 + (0 * s)
Writes = 2 + (0 * s)
Pallet: "pallet_identity", Extrinsic: "quit_sub", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 34.91
+ s 0.185
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 34.52 0.117 0.3%
2 34.63 0.052 0.1%
3 35.01 0.116 0.3%
4 35 0.095 0.2%
5 35.54 0.117 0.3%
6 35.53 0.093 0.2%
7 35.76 0.125 0.3%
8 36.22 0.084 0.2%
9 36.05 0.058 0.1%
10 36.44 0.056 0.1%
11 36.78 0.088 0.2%
12 36.63 0.057 0.1%
13 36.86 0.056 0.1%
14 37.54 0.13 0.3%
15 37.62 0.067 0.1%
16 37.55 0.067 0.1%
17 38.04 0.123 0.3%
18 38.22 0.108 0.2%
19 37.97 0.067 0.1%
20 38.33 0.079 0.2%
21 38.64 0.061 0.1%
22 38.79 0.105 0.2%
23 39.48 0.13 0.3%
24 39.47 0.078 0.1%
25 39.86 0.1 0.2%
26 39.78 0.053 0.1%
27 40.74 0.082 0.2%
28 40.38 0.171 0.4%
29 40.57 0.062 0.1%
30 40.49 0.083 0.2%
31 40.74 0.108 0.2%
32 41.22 0.072 0.1%
33 41.62 0.085 0.2%
34 41.55 0.122 0.2%
35 41.71 0.085 0.2%
36 41.73 0.048 0.1%
37 41.98 0.066 0.1%
38 42.28 0.06 0.1%
39 42.55 0.11 0.2%
40 42.81 0.09 0.2%
41 42.88 0.039 0.0%
42 42.9 0.088 0.2%
43 43.18 0.142 0.3%
44 43.18 0.064 0.1%
45 43.52 0.1 0.2%
46 43.82 0.059 0.1%
47 43.72 0.115 0.2%
48 44.17 0.093 0.2%
49 44.03 0.084 0.1%
50 44.43 0.093 0.2%
51 44.55 0.081 0.1%
52 44.76 0.106 0.2%
53 44.89 0.098 0.2%
54 45.11 0.124 0.2%
55 45.61 0.114 0.2%
56 45.67 0.059 0.1%
57 45.79 0.044 0.0%
58 45.76 0.111 0.2%
59 46.16 0.108 0.2%
60 46.08 0.085 0.1%
61 46.56 0.071 0.1%
62 46.7 0.089 0.1%
63 46.8 0.066 0.1%
64 47.05 0.124 0.2%
65 46.99 0.08 0.1%
66 47.08 0.109 0.2%
67 47.44 0.128 0.2%
68 47.75 0.063 0.1%
69 47.66 0.113 0.2%
70 47.9 0.15 0.3%
71 48.44 0.134 0.2%
72 48.21 0.14 0.2%
73 48.52 0.095 0.1%
74 48.64 0.132 0.2%
75 48.39 0.078 0.1%
76 48.94 0.096 0.1%
77 49.31 0.156 0.3%
78 48.95 0.099 0.2%
79 49.19 0.069 0.1%
80 49.77 0.159 0.3%
81 49.64 0.074 0.1%
82 49.84 0.069 0.1%
83 50.4 0.077 0.1%
84 50.43 0.144 0.2%
85 50.51 0.156 0.3%
86 50.77 0.132 0.2%
87 50.83 0.148 0.2%
88 50.77 0.093 0.1%
89 51.38 0.078 0.1%
90 51.41 0.061 0.1%
91 51.49 0.064 0.1%
92 52.22 0.137 0.2%
93 51.92 0.117 0.2%
94 51.89 0.133 0.2%
95 52.16 0.113 0.2%
96 52.49 0.115 0.2%
97 52.75 0.159 0.3%
98 52.89 0.202 0.3%
99 53.18 0.104 0.1%

Quality and confidence:
param error
s 0

Model:
Time ~= 34.87
+ s 0.186
µs

Reads = 2 + (0 * s)
Writes = 2 + (0 * s)

kianenigma

Had a quick look at polkadiff, def. need to see the new staking weights for 24 nominator situation, else all good.

kianenigma · 2021-04-27T15:10:16Z

/benchmark runtime kusama pallet_staking

s3krit · 2021-04-27T15:13:13Z

Cheers. @chevdor pointed out the extremely different benchmark for kill_identity ( https://github.com/paritytech/polkadot/pull/2938/files#diff-1dc46ada5024824f5c5f2c030fd6d081f6dc19f75dcd28fd424ec810a70aa11fL146 ), so I'm manually running it again.

…n=kusama-dev --steps=50 --repeat=20 --pallet=pallet_identity --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --header=./file_header.txt --output=./runtime/kusama/src/weights/

parity-benchapp · 2021-04-27T15:16:48Z

Finished benchmark for branch: mp-bump-versions-v0.8.31

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 ~= 71.81
µs

Reads = 5
Writes = 4
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 71.81
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 ~= 54.42
µs

Reads = 3
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 54.42
µs

Reads = 3
Writes = 2
Pallet: "pallet_staking", Extrinsic: "unbond", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 49.57
µs

Reads = 4
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 49.57
µs

Reads = 4
Writes = 3
Pallet: "pallet_staking", Extrinsic: "withdraw_unbonded_update", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 50.36
+ s 0.024
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 49.3 0.09 0.1%
2 49.99 0.114 0.2%
4 49.9 0.061 0.1%
6 50.16 0.111 0.2%
8 50.59 0.102 0.2%
10 50.49 0.067 0.1%
12 50.37 0.068 0.1%
14 50.9 0.141 0.2%
16 50.8 0.115 0.2%
18 50.85 0.148 0.2%
20 50.91 0.083 0.1%
22 51.06 0.108 0.2%
24 51.31 0.132 0.2%
26 51.15 0.125 0.2%
28 51.29 0.118 0.2%
30 51.32 0.094 0.1%
32 51.25 0.137 0.2%
34 51.44 0.099 0.1%
36 51.44 0.105 0.2%
38 51.19 0.14 0.2%
40 51.22 0.122 0.2%
42 51.48 0.123 0.2%
44 51.47 0.107 0.2%
46 51.82 0.128 0.2%
48 51.68 0.064 0.1%
50 51.74 0.127 0.2%
52 51.79 0.145 0.2%
54 51.82 0.116 0.2%
56 51.78 0.132 0.2%
58 51.59 0.115 0.2%
60 52.02 0.048 0.0%
62 51.77 0.104 0.2%
64 51.77 0.168 0.3%
66 52.4 0.074 0.1%
68 51.81 0.089 0.1%
70 52.3 0.171 0.3%
72 52.3 0.111 0.2%
74 51.86 0.039 0.0%
76 52.23 0.148 0.2%
78 52.21 0.135 0.2%
80 52.17 0.138 0.2%
82 52.34 0.145 0.2%
84 52.44 0.099 0.1%
86 52.6 0.073 0.1%
88 52.28 0.172 0.3%
90 52.7 0.226 0.4%
92 52.43 0.185 0.3%
94 52.18 0.12 0.2%
96 52.58 0.108 0.2%
98 52.6 0.089 0.1%
100 52.81 0.201 0.3%

Quality and confidence:
param error
s 0

Model:
Time ~= 50.3
+ s 0.025
µs

Reads = 4 + (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 ~= 80.78
+ s 2.425
µs

Reads = 6 + (0 * s)
Writes = 8 + (1 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 75.91 0.051 0.0%
2 85.04 0.154 0.1%
4 90.39 0.11 0.1%
6 94.63 0.113 0.1%
8 100 0.137 0.1%
10 105.1 0.172 0.1%
12 109.7 0.182 0.1%
14 115 0.138 0.1%
16 119.6 0.236 0.1%
18 124.7 0.142 0.1%
20 129.2 0.258 0.1%
22 134.6 0.336 0.2%
24 139.6 0.181 0.1%
26 144.6 0.302 0.2%
28 149.1 0.222 0.1%
30 153.8 0.32 0.2%
32 158.4 0.226 0.1%
34 163.2 0.343 0.2%
36 168.5 0.354 0.2%
38 173.2 0.281 0.1%
40 177.8 0.254 0.1%
42 182.6 0.285 0.1%
44 188 0.59 0.3%
46 192.6 0.438 0.2%
48 197.4 0.425 0.2%
50 202.9 0.594 0.2%
52 207.4 0.31 0.1%
54 211.6 0.515 0.2%
56 216.2 0.474 0.2%
58 220.3 0.386 0.1%
60 225.4 0.591 0.2%
62 230.9 0.322 0.1%
64 235.9 0.713 0.3%
66 240.3 0.494 0.2%
68 244.9 0.358 0.1%
70 249.4 0.516 0.2%
72 255.1 0.794 0.3%
74 260.6 0.631 0.2%
76 264.8 0.95 0.3%
78 268.9 0.575 0.2%
80 274.1 0.842 0.3%
82 280.6 0.658 0.2%
84 283.5 0.235 0.0%
86 288.6 1.083 0.3%
88 293.7 0.644 0.2%
90 297.8 0.92 0.3%
92 304.5 1.06 0.3%
94 309.8 0.669 0.2%
96 314.4 0.929 0.2%
98 319 0.934 0.2%
100 323.8 0.721 0.2%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 80.5
+ s 2.429
µs

Reads = 6 + (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 ~= 14.05
µs

Reads = 1
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 14.05
µs

Reads = 1
Writes = 2
Pallet: "pallet_staking", Extrinsic: "kick", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 13.55
+ k 19.41
µs

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

-- Extrinsic Time --

Data points distribution:
k mean µs sigma µs %
1 40.01 0.114 0.2%
3 80.22 0.14 0.1%
5 117.3 0.214 0.1%
7 154.5 0.142 0.0%
9 191.8 0.141 0.0%
11 230.3 0.202 0.0%
13 268.8 0.277 0.1%
15 306.4 0.725 0.2%
17 344.8 0.754 0.2%
19 382.7 0.314 0.0%
21 423.1 0.942 0.2%
23 459 0.839 0.1%
25 497.3 1.173 0.2%
27 533.5 0.544 0.1%
29 572.7 1.554 0.2%
31 609.4 0.548 0.0%
33 649.5 1.051 0.1%
35 688.1 0.884 0.1%
37 726.2 1.614 0.2%
39 770 1.261 0.1%
41 805.9 1.39 0.1%
43 841.4 1.355 0.1%
45 886.2 1.298 0.1%
47 918.9 1.841 0.2%
49 964.8 2.215 0.2%
51 1001 1.477 0.1%
53 1042 2.372 0.2%
55 1082 2.713 0.2%
57 1114 0.783 0.0%
59 1149 2.045 0.1%
61 1192 3.215 0.2%
63 1230 2.004 0.1%
65 1274 3.854 0.3%
67 1311 1.594 0.1%
69 1354 2.66 0.1%
71 1392 2.141 0.1%
73 1432 2.689 0.1%
75 1465 1.673 0.1%
77 1504 2.683 0.1%
79 1547 1.44 0.0%
81 1579 1.58 0.1%
83 1635 6.745 0.4%
85 1662 3.713 0.2%
87 1693 3.385 0.1%
89 1740 2.632 0.1%
91 1775 3.526 0.1%
93 1812 3.235 0.1%
95 1852 2.76 0.1%
97 1890 2.744 0.1%
99 1931 4.998 0.2%
101 1971 3.076 0.1%
103 2013 4.539 0.2%
105 2045 1.764 0.0%
107 2093 1.939 0.0%
109 2138 4.26 0.1%
111 2179 3.044 0.1%
113 2221 7 0.3%
115 2266 16.16 0.7%
117 2296 6.892 0.3%
119 2327 5.234 0.2%
121 2380 2.415 0.1%
123 2408 4.606 0.1%
125 2444 3.922 0.1%
127 2497 4.239 0.1%

Quality and confidence:
param error
k 0.007

Model:
Time ~= 11.04
+ k 19.46
µs

Reads = 1 + (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 ~= 23.5
+ n 5.292
µs

Reads = 3 + (1 * n)
Writes = 2 + (0 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 28.1 0.099 0.3%
2 33.72 0.025 0.0%
3 39.31 0.125 0.3%
4 44.77 0.091 0.2%
5 50.18 0.169 0.3%
6 55.53 0.158 0.2%
7 60.71 0.094 0.1%
8 65.08 0.213 0.3%
9 71.09 0.249 0.3%
10 77.86 0.234 0.3%
11 81.93 0.235 0.2%
12 87.51 0.186 0.2%
13 92.18 0.264 0.2%
14 97.52 0.267 0.2%
15 102.7 0.285 0.2%
16 107.9 0.331 0.3%
17 113.9 0.263 0.2%
18 118.9 0.169 0.1%
19 124 0.346 0.2%
20 129 0.242 0.1%
21 134.8 0.41 0.3%
22 139.4 0.295 0.2%
23 143.6 0.292 0.2%
24 151 0.303 0.2%

Quality and confidence:
param error
n 0.005

Model:
Time ~= 23.55
+ n 5.286
µs

Reads = 3 + (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 ~= 13.37
µs

Reads = 1
Writes = 2
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 13.37
µs

Reads = 1
Writes = 2
Pallet: "pallet_staking", Extrinsic: "set_payee", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 11.56
µs

Reads = 1
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 11.56
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 ~= 25.41
µs

Reads = 3
Writes = 3
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 25.41
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 ~= 1.982
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 1.982
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 ~= 2.285
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.285
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 ~= 2.264
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.264
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 ~= 2.242
µs

Reads = 0
Writes = 1
Min Squares Analysis

-- Extrinsic Time --

Model:
Time ~= 2.242
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 ~= 2.285
+ v 0.034
µs

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

-- Extrinsic Time --

Data points distribution:
v mean µs sigma µs %
0 2.213 0.015 0.6%
20 3.09 0.022 0.7%
40 3.772 0.016 0.4%
60 4.447 0.013 0.2%
80 5.135 0.021 0.4%
100 5.83 0.017 0.2%
120 6.494 0.015 0.2%
140 7.203 0.017 0.2%
160 7.864 0.013 0.1%
180 8.559 0.026 0.3%
200 9.243 0.012 0.1%
220 9.896 0.023 0.2%
240 10.53 0.021 0.1%
260 11.32 0.017 0.1%
280 12 0.023 0.1%
300 12.67 0.017 0.1%
320 13.45 0.016 0.1%
340 14.05 0.024 0.1%
360 14.72 0.009 0.0%
380 15.42 0.02 0.1%
400 16.09 0.019 0.1%
420 16.73 0.034 0.2%
440 17.41 0.02 0.1%
460 18.14 0.028 0.1%
480 18.83 0.026 0.1%
500 19.48 0.013 0.0%
520 20.31 0.04 0.1%
540 20.98 0.013 0.0%
560 21.68 0.047 0.2%
580 22.39 0.036 0.1%
600 23.05 0.043 0.1%
620 23.74 0.012 0.0%
640 24.55 0.018 0.0%
660 25.2 0.027 0.1%
680 25.9 0.022 0.0%
700 26.56 0.018 0.0%
720 27.26 0.023 0.0%
740 27.93 0.013 0.0%
760 28.59 0.018 0.0%
780 29.48 0.022 0.0%
800 30.18 0.008 0.0%
820 30.85 0.014 0.0%
840 31.53 0.019 0.0%
860 32.23 0.032 0.0%
880 32.88 0.02 0.0%
900 33.68 0.035 0.1%
920 34.32 0.031 0.0%
940 34.94 0.037 0.1%
960 35.67 0.016 0.0%
980 36.37 0.034 0.0%
1000 37 0.022 0.0%

Quality and confidence:
param error
v 0

Model:
Time ~= 2.27
+ v 0.035
µs

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

-- Extrinsic Time --

Model:
Time ~= 57.31
+ s 2.427
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
0 52.41 0.098 0.1%
2 60.95 0.129 0.2%
4 66.45 0.169 0.2%
6 71.58 0.136 0.1%
8 76.84 0.139 0.1%
10 81.6 0.199 0.2%
12 86.48 0.18 0.2%
14 91.74 0.153 0.1%
16 96.36 0.18 0.1%
18 101.4 0.283 0.2%
20 106.2 0.233 0.2%
22 111.1 0.238 0.2%
24 116.4 0.251 0.2%
26 120.9 0.202 0.1%
28 125.3 0.256 0.2%
30 130.4 0.308 0.2%
32 135.2 0.455 0.3%
34 139.7 0.256 0.1%
36 144.8 0.46 0.3%
38 149.8 0.478 0.3%
40 154.5 0.505 0.3%
42 160 0.446 0.2%
44 164.6 0.46 0.2%
46 168.8 0.555 0.3%
48 174.1 0.391 0.2%
50 178.3 0.277 0.1%
52 182.8 0.393 0.2%
54 188.1 0.621 0.3%
56 193.7 0.344 0.1%
58 198.1 0.404 0.2%
60 202.5 0.678 0.3%
62 207.8 0.552 0.2%
64 211.6 0.777 0.3%
66 217.4 0.52 0.2%
68 222.2 0.569 0.2%
70 226.9 0.559 0.2%
72 231.6 0.658 0.2%
74 237 0.664 0.2%
76 241.1 0.665 0.2%
78 246.6 0.418 0.1%
80 250.9 1.042 0.4%
82 255.1 0.527 0.2%
84 259.9 1.063 0.4%
86 265.9 0.891 0.3%
88 271 1.141 0.4%
90 275.5 0.446 0.1%
92 281 1.483 0.5%
94 286 0.814 0.2%
96 292.1 0.417 0.1%
98 294.6 0.629 0.2%
100 300.3 1.356 0.4%

Quality and confidence:
param error
s 0.001

Model:
Time ~= 57.02
+ s 2.431
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 ~= 6680
+ s 34.6
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 452.6 1.584 0.3%
20 1740 0.834 0.0%
39 3003 0.815 0.0%
58 4243 0.65 0.0%
77 5457 1.947 0.0%
96 6649 10.75 0.1%
115 7820 13.29 0.1%
134 8964 11.99 0.1%
153 10130 76.53 0.7%
172 11410 8.609 0.0%
191 12240 14.73 0.1%
210 13290 12.86 0.0%
229 14300 10.05 0.0%
248 15290 15.49 0.1%
267 16250 8.174 0.0%
286 17200 12.4 0.0%
305 18120 12.83 0.0%
324 19010 10.55 0.0%
343 19880 14.19 0.0%
362 20720 12.79 0.0%
381 21530 12.91 0.0%
400 22330 12.82 0.0%
419 23090 11.55 0.0%
438 23850 17.77 0.0%
457 24580 11.49 0.0%
476 25250 17.71 0.0%
495 25930 22.4 0.0%
514 26560 20.46 0.0%
533 27170 14.24 0.0%
552 27760 12.71 0.0%
571 28340 11.17 0.0%
590 28890 17.29 0.0%
609 29420 24.7 0.0%
628 29900 14.32 0.0%
647 30370 15.23 0.0%
666 30810 18.74 0.0%
685 31220 8.888 0.0%
704 32190 265.3 0.8%
723 32010 13.4 0.0%
742 32370 17.1 0.0%
761 32700 18.09 0.0%
780 32980 16.15 0.0%
799 33240 10.87 0.0%
818 33490 14.15 0.0%
837 33710 14.66 0.0%
856 33910 17.29 0.0%
875 34090 15.2 0.0%
894 34240 8.971 0.0%
913 34370 16.4 0.0%
932 34980 292.8 0.8%
951 34540 11.78 0.0%
970 34590 16.7 0.0%
989 34600 13.7 0.0%

Quality and confidence:
param error
s 0.387

Model:
Time ~= 5906
+ s 34.62
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 ~= 116.3
+ n 48.19
µs

Reads = 10 + (3 * n)
Writes = 2 + (1 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 151.3 0.672 0.4%
6 396.3 1.141 0.2%
11 639 1.611 0.2%
16 892.2 3.244 0.3%
21 1127 1.589 0.1%
26 1367 1.518 0.1%
31 1603 3.255 0.2%
36 1853 2.769 0.1%
41 2098 2.97 0.1%
46 2349 8.621 0.3%
51 2564 4.326 0.1%
56 2821 6.473 0.2%
61 3061 8.725 0.2%
66 3318 5.867 0.1%
71 3545 5.791 0.1%
76 3770 4.384 0.1%
81 4017 4.366 0.1%
86 4272 5.274 0.1%
91 4494 6.846 0.1%
96 4724 14.27 0.3%
101 4983 6.683 0.1%
106 5195 10.39 0.2%
111 5472 10.37 0.1%
116 5712 13.15 0.2%
121 5929 10.54 0.1%
126 6187 11.14 0.1%
131 6413 9.261 0.1%
136 6728 41.5 0.6%
141 6919 9.683 0.1%
146 7202 12.03 0.1%
151 7398 12.48 0.1%
156 7641 16.52 0.2%
161 7910 9.977 0.1%
166 8108 18.57 0.2%
171 8360 12.28 0.1%
176 8597 12.64 0.1%
181 8832 17.78 0.2%
186 9124 24.65 0.2%
191 9290 13.49 0.1%
196 9595 18.45 0.1%
201 9814 22.1 0.2%
206 10040 21.68 0.2%
211 10320 13.76 0.1%
216 10560 19.08 0.1%
221 10770 12.19 0.1%
226 10960 15.7 0.1%
231 11290 24.27 0.2%
236 11470 9.294 0.0%
241 11690 18.41 0.1%
246 11940 20.79 0.1%
251 12150 13.25 0.1%
256 12420 20.33 0.1%

Quality and confidence:
param error
n 0.015

Model:
Time ~= 119.6
+ n 48.17
µs

Reads = 10 + (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 ~= 133.5
+ n 62.11
µs

Reads = 11 + (5 * n)
Writes = 3 + (3 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
n mean µs sigma µs %
1 192.5 0.903 0.4%
6 505.3 1.458 0.2%
11 819.1 0.86 0.1%
16 1135 2.161 0.1%
21 1446 1.853 0.1%
26 1746 4.262 0.2%
31 2051 2.952 0.1%
36 2369 2.3 0.0%
41 2720 26.29 0.9%
46 2994 5.611 0.1%
51 3316 4.305 0.1%
56 3614 6.74 0.1%
61 3910 2.54 0.0%
66 4240 9.863 0.2%
71 4529 8.784 0.1%
76 4841 10.24 0.2%
81 5118 7.21 0.1%
86 5450 9.144 0.1%
91 5792 22.58 0.3%
96 6092 17.04 0.2%
101 6357 9.914 0.1%
106 6714 14.47 0.2%
111 7034 8.856 0.1%
116 7331 8.124 0.1%
121 7652 13.72 0.1%
126 7939 14.06 0.1%
131 8292 19.59 0.2%
136 8608 8.375 0.0%
141 8907 11.75 0.1%
146 9190 16.41 0.1%
151 9503 11.24 0.1%
156 9764 11.08 0.1%
161 10080 10.68 0.1%
166 10410 14.48 0.1%
171 10730 18.6 0.1%
176 11030 25.08 0.2%
181 11430 17.23 0.1%
186 11760 16.19 0.1%
191 12020 17.18 0.1%
196 12380 140.5 1.1%
201 12640 29.89 0.2%
206 12970 15.21 0.1%
211 13250 13.08 0.0%
216 13570 20.59 0.1%
221 13840 19.02 0.1%
226 14210 18.41 0.1%
231 14650 106.6 0.7%
236 14710 32.42 0.2%
241 15050 25.09 0.1%
246 15340 32.89 0.2%
251 15730 29.91 0.1%
256 16050 21.08 0.1%

Quality and confidence:
param error
n 0.028

Model:
Time ~= 127.5
+ n 62.18
µs

Reads = 11 + (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 ~= 33.07
+ l 0.08
µs

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

-- Extrinsic Time --

Data points distribution:
l mean µs sigma µs %
1 33.34 0.127 0.3%
2 33.03 0.062 0.1%
3 32.97 0.071 0.2%
4 32.94 0.077 0.2%
5 33.37 0.062 0.1%
6 33.38 0.071 0.2%
7 33.4 0.085 0.2%
8 33.52 0.085 0.2%
9 34.07 0.072 0.2%
10 33.94 0.085 0.2%
11 34.08 0.082 0.2%
12 34.11 0.05 0.1%
13 34.22 0.082 0.2%
14 34.45 0.114 0.3%
15 34.37 0.069 0.2%
16 34.38 0.054 0.1%
17 34.93 0.062 0.1%
18 34.83 0.089 0.2%
19 34.85 0.075 0.2%
20 34.89 0.059 0.1%
21 35.17 0.091 0.2%
22 34.97 0.1 0.2%
23 35.02 0.089 0.2%
24 35.17 0.118 0.3%
25 34.99 0.084 0.2%
26 35.16 0.064 0.1%
27 35.09 0.075 0.2%
28 35.28 0.081 0.2%
29 35.25 0.078 0.2%
30 35.07 0.038 0.1%
31 35.25 0.059 0.1%
32 35.26 0.081 0.2%

Quality and confidence:
param error
l 0.001

Model:
Time ~= 33.08
+ l 0.08
µs

Reads = 3 + (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 30.38
µs

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

-- Extrinsic Time --

Data points distribution:
e mean µs sigma µs %
1 36.69 0.166 0.4%
2 60.67 0.085 0.1%
3 83.82 0.108 0.1%
4 108.3 0.151 0.1%
5 131.5 0.148 0.1%
6 153.9 0.153 0.0%
7 179.1 0.328 0.1%
8 201 0.54 0.2%
9 222.1 0.478 0.2%
10 247.8 0.793 0.3%
11 271.2 0.874 0.3%
12 296.6 0.842 0.2%
13 317.3 1.262 0.3%
14 348.2 0.588 0.1%
15 373.4 1.191 0.3%
16 396.4 0.578 0.1%
17 424.1 1.287 0.3%
18 443.9 1.829 0.4%
19 473.9 1.506 0.3%
20 506 3.813 0.7%
21 523.7 1.718 0.3%
22 550.6 1.232 0.2%
23 580.2 1.238 0.2%
24 608.7 0.929 0.1%
25 629 2.055 0.3%
26 657.7 1.039 0.1%
27 689 2.43 0.3%
28 716.5 0.893 0.1%
29 740.5 1.108 0.1%
30 769.8 1.643 0.2%
31 798.6 1.297 0.1%
32 829.4 1.714 0.2%
33 856.7 0.863 0.1%
34 875.7 1.374 0.1%
35 915.9 1.345 0.1%
36 942.5 2.15 0.2%
37 966.1 1.598 0.1%
38 995.7 2.363 0.2%
39 1026 1.34 0.1%
40 1052 2.304 0.2%
41 1089 3.109 0.2%
42 1106 1.559 0.1%
43 1123 1.808 0.1%
44 1167 2.29 0.1%
45 1199 2.318 0.1%
46 1226 2.341 0.1%
47 1263 2.266 0.1%
48 1290 4.965 0.3%
49 1325 2.217 0.1%
50 1345 2.173 0.1%
51 1382 3.502 0.2%
52 1417 2.534 0.1%
53 1446 2.077 0.1%
54 1487 3.381 0.2%
55 1519 2.644 0.1%
56 1536 2.479 0.1%
57 1584 2.269 0.1%
58 1611 2.716 0.1%
59 1646 2.877 0.1%
60 1679 3.033 0.1%
61 1704 3.228 0.1%
62 1723 2.945 0.1%
63 1757 6.622 0.3%
64 1786 2.885 0.1%
65 1823 8.127 0.4%
66 1838 3.302 0.1%
67 1871 3.455 0.1%
68 1917 3.497 0.1%
69 1950 3.972 0.2%
70 1983 1.561 0.0%
71 2029 2.755 0.1%
72 2027 4.072 0.2%
73 2081 5.033 0.2%
74 2109 1.884 0.0%
75 2156 3.828 0.1%
76 2181 4.431 0.2%
77 2220 5.445 0.2%
78 2238 3.842 0.1%
79 2285 3.934 0.1%
80 2308 4.87 0.2%
81 2332 3.989 0.1%
82 2406 2.168 0.0%
83 2449 10.86 0.4%
84 2506 2.763 0.1%
85 2522 4.857 0.1%
86 2553 4.077 0.1%
87 2574 4.212 0.1%
88 2607 8.068 0.3%
89 2665 4.205 0.1%
90 2692 6.273 0.2%
91 2701 2.987 0.1%
92 2751 6.584 0.2%
93 2805 4.184 0.1%
94 2850 5.848 0.2%
95 2882 9.989 0.3%
96 2922 3.034 0.1%
97 2968 8.471 0.2%
98 2970 4.059 0.1%
99 3010 6.962 0.2%
100 3063 6.828 0.2%

Quality and confidence:
param error
e 0.062

Model:
Time ~= 0
+ e 30.55
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 ~= 59.93
+ s 2.418
µs

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

-- Extrinsic Time --

Data points distribution:
s mean µs sigma µs %
1 61.29 0.097 0.1%
2 63.71 0.085 0.1%
3 66.28 0.105 0.1%
4 69.42 0.083 0.1%
5 71.83 0.09 0.1%
6 74.14 0.162 0.2%
7 76.8 0.104 0.1%
8 79.04 0.138 0.1%
9 81.29 0.139 0.1%
10 83.97 0.066 0.0%
11 86.36 0.142 0.1%
12 89.3 0.197 0.2%
13 91.65 0.189 0.2%
14 93.98 0.198 0.2%
15 96.49 0.325 0.3%
16 98.48 0.148 0.1%
17 101 0.157 0.1%
18 103.5 0.1 0.0%
19 105.9 0.226 0.2%
20 108.4 0.208 0.1%
21 111.1 0.194 0.1%
22 113.3 0.273 0.2%
23 115.8 0.225 0.1%
24 118.2 0.422 0.3%
25 121.1 0.23 0.1%
26 123 0.311 0.2%
27 125.6 0.184 0.1%
28 128 0.165 0.1%
29 130.8 0.174 0.1%
30 133.1 0.409 0.3%
31 134.9 0.262 0.1%
32 137 0.134 0.0%
33 139.7 0.303 0.2%
34 142.2 0.334 0.2%
35 144.6 0.41 0.2%
36 147.1 0.437 0.2%
37 149.5 0.261 0.1%
38 151.9 0.415 0.2%
39 154.5 0.262 0.1%
40 157 0.478 0.3%
41 159.7 0.427 0.2%
42 162.1 0.547 0.3%
43 164.6 0.554 0.3%
44 167.5 0.355 0.2%
45 169.4 0.253 0.1%
46 171.8 0.26 0.1%
47 174.1 0.134 0.0%
48 176 0.231 0.1%
49 178.8 0.669 0.3%
50 180.8 0.64 0.3%
51 182.4 0.456 0.2%
52 185.5 0.403 0.2%
53 188 0.725 0.3%
54 190.1 0.558 0.2%
55 193.3 0.57 0.2%
56 195.3 0.673 0.3%
57 197.5 0.56 0.2%
58 199.8 0.66 0.3%
59 202.2 0.292 0.1%
60 204.6 0.419 0.2%
61 207 0.475 0.2%
62 210 0.776 0.3%
63 212 0.474 0.2%
64 214.1 0.623 0.2%
65 217.4 0.425 0.1%
66 220.1 0.652 0.2%
67 221.8 0.801 0.3%
68 224.6 0.771 0.3%
69 226.8 0.603 0.2%
70 228.5 0.506 0.2%
71 231.6 0.672 0.2%
72 233.7 0.816 0.3%
73 236.1 0.755 0.3%
74 239 0.618 0.2%
75 241.3 0.935 0.3%
76 243.3 0.733 0.3%
77 245.9 0.872 0.3%
78 247.5 0.661 0.2%
79 251.2 0.563 0.2%
80 253.3 0.8 0.3%
81 255.7 1.08 0.4%
82 257 0.297 0.1%
83 260.2 0.928 0.3%
84 262.5 0.917 0.3%
85 265.2 0.573 0.2%
86 267.9 0.889 0.3%
87 270.8 0.55 0.2%
88 273.7 0.652 0.2%
89 275 0.437 0.1%
90 276.4 0.986 0.3%
91 280.6 0.522 0.1%
92 282.6 0.774 0.2%
93 284.1 0.435 0.1%
94 286.5 0.693 0.2%
95 288.3 0.614 0.2%
96 292.6 0.931 0.3%
97 295.1 0.998 0.3%
98 297.3 0.977 0.3%
99 299.6 0.847 0.2%
100 302 0.975 0.3%

Quality and confidence:
param error
s 0

Model:
Time ~= 60
+ s 2.417
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 353.8
+ n 60.13
µs

Reads = 10 + (3 * v) + (3 * n)
Writes = 9 + (3 * v) + (0 * n)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v n mean µs sigma µs %
1 100 3467 6.371 0.1%
2 100 3813 11.86 0.3%
3 100 4111 12.26 0.2%
4 100 4412 6.471 0.1%
5 100 4814 6.37 0.1%
6 100 5081 8.044 0.1%
7 100 5464 10.6 0.1%
8 100 5805 16.49 0.2%
9 100 6245 7.24 0.1%
10 1 771.7 2.065 0.2%
10 2 836.5 7.257 0.8%
10 3 886.4 3.793 0.4%
10 4 942.8 4.625 0.4%
10 5 1008 2.649 0.2%
10 6 1059 3.046 0.2%
10 7 1116 2.491 0.2%
10 8 1175 2.496 0.2%
10 9 1245 5.435 0.4%
10 10 1300 2.069 0.1%
10 11 1342 1.405 0.1%
10 12 1447 3.693 0.2%
10 13 1504 1.379 0.0%
10 14 1560 2.412 0.1%
10 15 1616 1.027 0.0%
10 16 1690 2.764 0.1%
10 17 1732 2.188 0.1%
10 18 1804 1.497 0.0%
10 19 1866 5.408 0.2%
10 20 1920 2.722 0.1%
10 21 1970 2.242 0.1%
10 22 2040 2.989 0.1%
10 23 2106 4.383 0.2%
10 24 2168 3.266 0.1%
10 25 2246 3.476 0.1%
10 26 2289 4.915 0.2%
10 27 2342 2.552 0.1%
10 28 2397 3.497 0.1%
10 29 2453 2.244 0.0%
10 30 2542 2.481 0.0%
10 31 2578 3.828 0.1%
10 32 2664 3.42 0.1%
10 33 2683 3.522 0.1%
10 34 2753 2.853 0.1%
10 35 2809 4.779 0.1%
10 36 2872 3.563 0.1%
10 37 2945 4.752 0.1%
10 38 3025 5.522 0.1%
10 39 3094 2.43 0.0%
10 40 3149 4.623 0.1%
10 41 3214 6.652 0.2%
10 42 3265 8.042 0.2%
10 43 3322 4.514 0.1%
10 44 3397 6.763 0.1%
10 45 3427 6.535 0.1%
10 46 3485 3.919 0.1%
10 47 3530 6.736 0.1%
10 48 3579 5.852 0.1%
10 49 3646 7.352 0.2%
10 50 3731 8.581 0.2%
10 51 3789 5.34 0.1%
10 52 3914 5.468 0.1%
10 53 3941 39.07 0.9%
10 54 3933 5.18 0.1%
10 55 4004 5.234 0.1%
10 56 4088 11.36 0.2%
10 57 4114 6.435 0.1%
10 58 4215 6.154 0.1%
10 59 4248 4.243 0.0%
10 60 4308 9.544 0.2%
10 61 4386 6.265 0.1%
10 62 4420 11.22 0.2%
10 63 4498 9.097 0.2%
10 64 4570 5.253 0.1%
10 65 4646 7.675 0.1%
10 66 4675 13.48 0.2%
10 67 4734 7.126 0.1%
10 68 4795 14.98 0.3%
10 69 4891 5.677 0.1%
10 70 4930 10.3 0.2%
10 71 4984 7.559 0.1%
10 72 5043 11.93 0.2%
10 73 5088 12.02 0.2%
10 74 5138 9.715 0.1%
10 75 5175 8.879 0.1%
10 76 5268 8.343 0.1%
10 77 5356 12.68 0.2%
10 78 5438 10.66 0.1%
10 79 5496 7.695 0.1%
10 80 5532 12.78 0.2%
10 81 5613 5.93 0.1%
10 82 5670 9.898 0.1%
10 83 5672 6.098 0.1%
10 84 5749 10.48 0.1%
10 85 5854 8.888 0.1%
10 86 5913 11.18 0.1%
10 87 5947 9.141 0.1%
10 88 6028 6.307 0.1%
10 89 6072 12.1 0.1%
10 90 6119 14.88 0.2%
10 91 6212 7.404 0.1%
10 92 6270 8.598 0.1%
10 93 6335 12.68 0.2%
10 94 6358 11.06 0.1%
10 95 6439 9.038 0.1%
10 96 6477 6.53 0.1%
10 97 6504 12.1 0.1%
10 98 6567 11.71 0.1%
10 99 6649 22.19 0.3%
10 100 6664 7.337 0.1%

Quality and confidence:
param error
v 0.796
n 0.04

Model:
Time ~= 0
+ v 373.3
+ n 59.85
µs

Reads = 10 + (3 * v) + (3 * n)
Writes = 9 + (3 * v) + (0 * n)
Pallet: "pallet_staking", Extrinsic: "get_npos_voters", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 14.76
+ v 23.1
+ n 28.52
+ s 4.896
µs

Reads = 3 + (3 * v) + (3 * n) + (1 * s)
Writes = 0 + (0 * v) + (0 * n) + (0 * s)
Min Squares Analysis

-- Extrinsic Time --

Data points distribution:
v n s mean µs sigma µs %
200 400 20 16070 59.92 0.3%
204 400 20 16300 50.07 0.3%
208 400 20 16330 74.83 0.4%
212 400 20 16500 73.81 0.4%
216 400 20 16570 75.8 0.4%
220 400 20 16610 69.74 0.4%
224 400 20 16510 85.72 0.5%
228 400 20 16620 91.11 0.5%
232 400 20 16950 53.77 0.3%
236 400 20 16850 116.2 0.6%
240 400 20 16790 66.48 0.3%
244 400 20 17360 38.35 0.2%
248 400 20 17170 80.9 0.4%
252 400 20 17460 53.78 0.3%
256 400 20 17510 37.39 0.2%
260 400 20 17240 46.19 0.2%
264 400 20 17690 82 0.4%
268 400 20 17620 43.76 0.2%
272 400 20 17810 70.38 0.3%
276 400 20 17630 41.2 0.2%
280 400 20 18160 73.35 0.4%
284 400 20 17880 31.34 0.1%
288 400 20 18460 58.71 0.3%
292 400 20 18350 48.96 0.2%
296 400 20 18410 81.45 0.4%
300 400 20 18580 51.19 0.2%
304 400 20 18680 78.92 0.4%
308 400 20 18880 38.48 0.2%
312 400 20 18660 81.73 0.4%
316 400 20 18800 63.56 0.3%
320 400 20 19050 26.72 0.1%
324 400 20 18940 50.02 0.2%
328 400 20 19150 82.2 0.4%
332 400 20 18900 58.94 0.3%
336 400 20 18980 58.06 0.3%
340 400 20 19520 50.77 0.2%
344 400 20 19470 92.76 0.4%
348 400 20 19340 67.82 0.3%
352 400 20 19360 39.27 0.2%
356 400 20 20090 78.01 0.3%
360 400 20 20040 62.32 0.3%
364 400 20 19760 66.58 0.3%
368 400 20 19920 67.61 0.3%
372 400 20 20340 82.26 0.4%
376 400 20 20280 46.49 0.2%
380 400 20 20270 56.08 0.2%
384 400 20 20770 35.2 0.1%
388 400 20 20250 45.75 0.2%
392 400 20 20810 104 0.4%
396 400 20 20670 88.75 0.4%
400 200 20 15150 51.11 0.3%
400 204 20 15110 84.7 0.5%
400 208 20 15200 36.82 0.2%
400 212 20 15360 42.07 0.2%
400 216 20 15830 38.33 0.2%
400 220 20 15880 62.2 0.3%
400 224 20 16010 48.86 0.3%
400 228 20 15930 25.5 0.1%
400 232 20 16110 34.67 0.2%
400 236 20 16310 48.67 0.2%
400 240 20 16060 81.34 0.5%
400 244 20 16330 38.07 0.2%
400 248 20 16620 42.83 0.2%
400 252 20 16880 60.22 0.3%
400 256 20 16780 59.03 0.3%
400 260 20 16840 67.82 0.4%
400 264 20 17120 70.79 0.4%
400 268 20 17200 42.01 0.2%
400 272 20 17320 34.21 0.1%
400 276 20 17070 40.82 0.2%
400 280 20 17540 37.13 0.2%
400 284 20 17690 55.31 0.3%
400 288 20 17450 65.11 0.3%
400 292 20 17570 23.39 0.1%
400 296 20 17680 40.6 0.2%
400 300 20 17980 57.64 0.3%
400 304 20 18080 53.31 0.2%
400 308 20 18480 42.94 0.2%
400 312 20 18390 47.47 0.2%
400 316 20 18530 27.41 0.1%
400 320 20 18700 44.82 0.2%
400 324 20 18580 81.36 0.4%
400 328 20 18540 52.78 0.2%
400 332 20 18620 48.06 0.2%
400 336 20 18920 110.9 0.5%
400 340 20 19040 85.63 0.4%
400 344 20 19390 74.29 0.3%
400 348 20 19540 64.08 0.3%
400 352 20 19610 83.52 0.4%
400 356 20 19780 68.35 0.3%
400 360 20 19910 71.84 0.3%
400 364 20 19940 48.76 0.2%
400 368 20 20200 50.52 0.2%
400 372 20 20100 71.61 0.3%
400 376 20 20250 85.87 0.4%
400 380 20 20470 37.55 0.1%
400 384 20 20550 37.5 0.1%
400 388 20 20280 70.48 0.3%
400 392 20 20840 63.37 0.3%
400 396 20 20790 50.46 0.2%
400 400 1 20540 66.63 0.3%
400 400 2 20570 64.29 0.3%
400 400 3 20330 101.5 0.4%
400 400 4 20460 81.47 0.3%
400 400 5 20650 94.8 0.4%
400 400 6 20420 91.83 0.4%
400 400 7 20330 60.98 0.2%
400 400 8 20730 84.21 0.4%
400 400 9 20530 102.2 0.4%
400 400 10 20820 84.32 0.4%
400 400 11 20840 75.32 0.3%
400 400 12 20890 85.78 0.4%
400 400 13 20840 107.1 0.5%
400 400 14 20560 80.39 0.3%
400 400 15 20830 59.27 0.2%
400 400 16 20420 81.68 0.3%
400 400 17 20540 62.01 0.3%
400 400 18 20560 28.02 0.1%
400 400 19 20520 38.82 0.1%
400 400 20 20590 74.02 0.3%

Quality and confidence:
param error
v 0.104
n 0.104
s 1.418

Model:
Time ~= 0
+ v 23.55
+ n 28.11
+ s 18.23
µs

Reads = 3 + (3 * v) + (3 * n) + (1 * s)
Writes = 0 + (0 * v) + (0 * n) + (0 * s)
Pallet: "pallet_staking", Extrinsic: "get_npos_targets", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

-- Extrinsic Time --

Model:
Time ~= 0
+ v 9.957
µs

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

-- Extrinsic Time --

Data points distribution:
v mean µs sigma µs %
200 1943 14 0.7%
204 1974 11.77 0.5%
208 2021 11.03 0.5%
212 2068 12.35 0.5%
216 2128 15.25 0.7%
220 2113 12.98 0.6%
224 2118 8.064 0.3%
228 2241 15.31 0.6%
232 2248 9.295 0.4%
236 2308 6.678 0.2%
240 2348 7.206 0.3%
244 2397 12.9 0.5%
248 2403 14 0.5%
252 2526 11.58 0.4%
256 2509 11.31 0.4%
260 2515 18.57 0.7%
264 2537 14.56 0.5%
268 2648 15.61 0.5%
272 2739 15.24 0.5%
276 2754 19.28 0.6%
280 2791 8.981 0.3%
284 2768 22.47 0.8%
288 2892 15.06 0.5%
292 2925 21.56 0.7%
296 2910 10.94 0.3%
300 2910 28.46 0.9%
304 2998 16.44 0.5%
308 3103 14.26 0.4%
312 3003 14.16 0.4%
316 3059 23.2 0.7%
320 3153 22.99 0.7%
324 3098 14.85 0.4%
328 3149 30.33 0.9%
332 3319 27.6 0.8%
336 3290 24.72 0.7%
340 3314 12.7 0.3%
344 3403 31.25 0.9%
348 3373 30.61 0.9%
352 3430 14.34 0.4%
356 3532 12.64 0.3%
360 3575 15.05 0.4%
364 3563 15.24 0.4%
368 3552 32.18 0.9%
372 3655 32.03 0.8%
376 3705 25.64 0.6%
380 3778 30.1 0.7%
384 3776 13.9 0.3%
388 3742 9.948 0.2%
392 3911 16.37 0.4%
396 3901 15.69 0.4%
400 3980 23.16 0.5%

Quality and confidence:
param error
v 0.034

Model:
Time ~= 0
+ v 9.947
µs

Reads = 1 + (1 * v)
Writes = 0 + (0 * v)

…n=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/

chevdor

Beside spotting a few weight difference (which may not be an issue), I could build all fine locally and run srtool as well.

s3krit · 2021-04-27T16:44:14Z

@kianenigma
How do the results for the staking benchmark look? Good to go?

…versions-v0.8.31

…adot into mp-bump-versions-v0.8.31

kianenigma

@kianenigma
How do the results for the staking benchmark look? Good to go?

all good.

* master: (98 commits) Companion PR for #8414 - Remove OffencesWeightSoftLimit (#2966) Companion for Substrate#8663 (#2945) Add parachains modules to Westend and Kusama runtimes (#2854) Make KeyStore optional (#2964) v0.9.0 prep (#2959) Implement null weight trader (#2957) feat: add proc macro to reduce overseer mock boilerplate (#2949) Allow normal accounts to execute XCM for withdraw+teleport (#2953) Required weight is returned in case it exceeds limit. (#2952) Bump version, bump substrate & update benchmarks in preparation for v0.8.31 (#2938) Bump BEEFY (#2946) Send statements to own backing group first (#2927) Bump (#2942) Add Dev Config for Rococo and Wococo (#2928) change junction parachain id from named field to unnamed field (#2940) fix link (#2941) Add XCM Origin and converter (#2896) Add Statemint teleport (#2934) CI: build colander on rococo branch too (#2936) Bump BEEFY (#2937) ...

s3krit added 3 commits April 26, 2021 16:45

bump version

a3fcfda

Merge branch 'master' of github.com:paritytech/polkadot into mp-bump-…

fbc2fa3

…versions-v0.8.31

bump cargo

d3fcf70

s3krit added A0-please_review Pull request needs code review. B0-silent Changes should not be mentioned in any release notes C1-low PR touches the given topic and has a low impact on builders. labels Apr 26, 2021

github-actions bot added A3-in_progress Pull request is in progress. No review needed at this stage. and removed A0-please_review Pull request needs code review. labels Apr 26, 2021

update benchmarks

c57b9da

s3krit requested review from kianenigma and shawntabrizi and removed request for kianenigma April 27, 2021 11:27

s3krit marked this pull request as ready for review April 27, 2021 11:27

github-actions bot added A0-please_review Pull request needs code review. and removed A3-in_progress Pull request is in progress. No review needed at this stage. labels Apr 27, 2021

s3krit changed the title ~~Bump version and bump substrate in preparation for v0.8.31~~ Bump version, bump substrate & update benchmarks in preparation for v0.8.31 Apr 27, 2021

s3krit requested review from kianenigma and chevdor April 27, 2021 11:28

s3krit added the D3-trivial 🧸 PR contains trivial changes in a runtime directory that do not require an audit. label Apr 27, 2021

s3krit added 2 commits April 27, 2021 14:44

Merge branch 'master' of github.com:paritytech/polkadot into mp-bump-…

854a045

…versions-v0.8.31

Merge branch 'master' of github.com:paritytech/polkadot into mp-bump-…

eb9f7ac

…versions-v0.8.31

kianenigma approved these changes Apr 27, 2021

View reviewed changes

cargo run --release --features=runtime-benchmarks -- benchmark --chai…

df7df1e

…n=kusama-dev --steps=50 --repeat=20 --pallet=pallet_identity --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --header=./file_header.txt --output=./runtime/kusama/src/weights/

cargo run --release --features=runtime-benchmarks -- benchmark --chai…

4fb1a0c

…n=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/

chevdor approved these changes Apr 27, 2021

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s3krit added 2 commits April 27, 2021 19:03

Merge branch 'master' of github.com:paritytech/polkadot into mp-bump-…

6d2c4e3

…versions-v0.8.31

Merge branch 'mp-bump-versions-v0.8.31' of github.com:paritytech/polk…

45a6ec9

…adot into mp-bump-versions-v0.8.31

kianenigma approved these changes Apr 28, 2021

View reviewed changes

s3krit merged commit efbc5a0 into master Apr 28, 2021

s3krit deleted the mp-bump-versions-v0.8.31 branch April 28, 2021 11:23

Bump version, bump substrate & update benchmarks in preparation for v0.8.31 #2938

Bump version, bump substrate & update benchmarks in preparation for v0.8.31 #2938

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s3krit commented Apr 26, 2021

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s3krit commented Apr 27, 2021

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parity-benchapp bot commented Apr 27, 2021 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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

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

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

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

Reads = 1 + (0 * r) + (0 * x) Writes = 1 + (0 * r) + (0 * x) Pallet: "pallet_identity", Extrinsic: "set_subs_new", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

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

Reads = 2 + (1 * s) Writes = 1 + (1 * s) Pallet: "pallet_identity", Extrinsic: "set_subs_old", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

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

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

Reads = 2 + (0 * r) + (0 * s) + (0 * x) Writes = 2 + (0 * r) + (1 * s) + (0 * x) Min Squares Analysis

Reads = 2 + (0 * r) + (0 * s) + (0 * x) Writes = 2 + (0 * r) + (1 * s) + (0 * x) Pallet: "pallet_identity", Extrinsic: "request_judgement", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

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

Reads = 2 + (0 * r) + (0 * x) Writes = 1 + (0 * r) + (0 * x) Pallet: "pallet_identity", Extrinsic: "cancel_request", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

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

Reads = 1 + (0 * r) + (0 * x) Writes = 1 + (0 * r) + (0 * x) Pallet: "pallet_identity", Extrinsic: "set_fee", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

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

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

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

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

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

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

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

Reads = 2 + (0 * r) + (0 * x) Writes = 1 + (0 * r) + (0 * x) Pallet: "pallet_identity", Extrinsic: "kill_identity", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

Reads = 3 + (0 * r) + (0 * s) + (0 * x) Writes = 3 + (0 * r) + (1 * s) + (0 * x) Min Squares Analysis

Reads = 3 + (0 * r) + (0 * s) + (0 * x) Writes = 3 + (0 * r) + (1 * s) + (0 * x) Pallet: "pallet_identity", Extrinsic: "add_sub", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

Reads = 3 + (0 * s) Writes = 2 + (0 * s) Min Squares Analysis

Reads = 3 + (0 * s) Writes = 2 + (0 * s) Pallet: "pallet_identity", Extrinsic: "rename_sub", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

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

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

Reads = 3 + (0 * s) Writes = 2 + (0 * s) Min Squares Analysis

Reads = 3 + (0 * s) Writes = 2 + (0 * s) Pallet: "pallet_identity", Extrinsic: "quit_sub", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

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

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kianenigma commented Apr 27, 2021

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s3krit commented Apr 27, 2021

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parity-benchapp bot commented Apr 27, 2021 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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

Reads = 5 Writes = 4 Min Squares Analysis

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

Reads = 3 Writes = 2 Min Squares Analysis

Reads = 3 Writes = 2 Pallet: "pallet_staking", Extrinsic: "unbond", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

Reads = 4 Writes = 3 Min Squares Analysis

Reads = 4 Writes = 3 Pallet: "pallet_staking", Extrinsic: "withdraw_unbonded_update", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

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

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

Reads = 6 + (0 * s) Writes = 8 + (1 * s) Min Squares Analysis

Reads = 6 + (0 * s) Writes = 8 + (1 * s) Pallet: "pallet_staking", Extrinsic: "validate", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

Reads = 1 Writes = 2 Min Squares Analysis

Reads = 1 Writes = 2 Pallet: "pallet_staking", Extrinsic: "kick", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

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

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

Reads = 3 + (1 * n) Writes = 2 + (0 * n) Min Squares Analysis

Reads = 3 + (1 * n) Writes = 2 + (0 * n) Pallet: "pallet_staking", Extrinsic: "chill", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

Reads = 1 Writes = 2 Min Squares Analysis

Reads = 1 Writes = 2 Pallet: "pallet_staking", Extrinsic: "set_payee", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20 Median Slopes Analysis

Reads = 1 Writes = 1 Min Squares Analysis

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

Reads = 3 Writes = 3 Min Squares Analysis

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

Reads = 0 Writes = 1 Min Squares Analysis

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

Reads = 0 Writes = 1 Min Squares Analysis

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

Reads = 0 Writes = 1 Min Squares Analysis

parity-benchapp bot commented Apr 27, 2021 •

edited

Loading

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

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

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

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

Reads = 1 + (0 * r) + (0 * x)
Writes = 1 + (0 * r) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "set_subs_new", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

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

Reads = 2 + (1 * s)
Writes = 1 + (1 * s)
Pallet: "pallet_identity", Extrinsic: "set_subs_old", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

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

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

Reads = 2 + (0 * r) + (0 * s) + (0 * x)
Writes = 2 + (0 * r) + (1 * s) + (0 * x)
Min Squares Analysis

Reads = 2 + (0 * r) + (0 * s) + (0 * x)
Writes = 2 + (0 * r) + (1 * s) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "request_judgement", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

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

Reads = 2 + (0 * r) + (0 * x)
Writes = 1 + (0 * r) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "cancel_request", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

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

Reads = 1 + (0 * r) + (0 * x)
Writes = 1 + (0 * r) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "set_fee", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

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

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

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

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

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

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

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

Reads = 2 + (0 * r) + (0 * x)
Writes = 1 + (0 * r) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "kill_identity", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

Reads = 3 + (0 * r) + (0 * s) + (0 * x)
Writes = 3 + (0 * r) + (1 * s) + (0 * x)
Min Squares Analysis

Reads = 3 + (0 * r) + (0 * s) + (0 * x)
Writes = 3 + (0 * r) + (1 * s) + (0 * x)
Pallet: "pallet_identity", Extrinsic: "add_sub", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

Reads = 3 + (0 * s)
Writes = 2 + (0 * s)
Min Squares Analysis

Reads = 3 + (0 * s)
Writes = 2 + (0 * s)
Pallet: "pallet_identity", Extrinsic: "rename_sub", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

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

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

Reads = 3 + (0 * s)
Writes = 2 + (0 * s)
Min Squares Analysis

Reads = 3 + (0 * s)
Writes = 2 + (0 * s)
Pallet: "pallet_identity", Extrinsic: "quit_sub", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

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

parity-benchapp bot commented Apr 27, 2021 •

edited

Loading

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

Reads = 5
Writes = 4
Min Squares Analysis

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

Reads = 3
Writes = 2
Min Squares Analysis

Reads = 3
Writes = 2
Pallet: "pallet_staking", Extrinsic: "unbond", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

Reads = 4
Writes = 3
Min Squares Analysis

Reads = 4
Writes = 3
Pallet: "pallet_staking", Extrinsic: "withdraw_unbonded_update", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

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

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

Reads = 6 + (0 * s)
Writes = 8 + (1 * s)
Min Squares Analysis

Reads = 6 + (0 * s)
Writes = 8 + (1 * s)
Pallet: "pallet_staking", Extrinsic: "validate", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

Reads = 1
Writes = 2
Min Squares Analysis

Reads = 1
Writes = 2
Pallet: "pallet_staking", Extrinsic: "kick", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

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

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

Reads = 3 + (1 * n)
Writes = 2 + (0 * n)
Min Squares Analysis

Reads = 3 + (1 * n)
Writes = 2 + (0 * n)
Pallet: "pallet_staking", Extrinsic: "chill", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

Reads = 1
Writes = 2
Min Squares Analysis

Reads = 1
Writes = 2
Pallet: "pallet_staking", Extrinsic: "set_payee", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

Reads = 1
Writes = 1
Min Squares Analysis

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

Reads = 3
Writes = 3
Min Squares Analysis

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

Reads = 0
Writes = 1
Min Squares Analysis

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

Reads = 0
Writes = 1
Min Squares Analysis

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

Reads = 0
Writes = 1
Min Squares Analysis

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

Reads = 0
Writes = 1
Min Squares Analysis

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

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

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

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

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

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

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

Reads = 10 + (3 * n)
Writes = 2 + (1 * n)
Min Squares Analysis

Reads = 10 + (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

Reads = 11 + (5 * n)
Writes = 3 + (3 * n)
Min Squares Analysis

Reads = 11 + (5 * n)
Writes = 3 + (3 * n)
Pallet: "pallet_staking", Extrinsic: "rebond", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis

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

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

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

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

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