FRAME Weights with Storage Metadata #9471

shawntabrizi · 2021-08-01T09:11:47Z

Results of running benchmarks on: #9373

Added a #[skip_meta] tag to hide storage metadata comments for items where lots of random keys are touched.
Introduced external-repeat flag to do repeats from the client, although tests show that running it in the runtime gives better results.
Moved components loop out of the runtime, so the runtime truly just executes the benchmarks.
Use LinkedHashMap for tracking storage keys so the order is consistent

a few updates for context:

All loops from the old benchmarking logic now live in the client, which means we should not reasonably run into any memory issues when executing benchmarks.
I added a new loop which will stay in the runtime, which is used by default. I found that for whatever reason, doing repeat loops inside the runtime gives better results than outside the runtime, with no real reason why.
- ^ This should be investigated later. It feels like the runtime executor needs to "warm up" or something
  you can test this yourself by running a benchmark with --repeat=x and then replace that with --external-repeat=x
beyond that, I found that collecting all the storage metadata was getting too heavy, and starting to impact benchmark results so I separated the execution which collects DB results (which is determinisitic) from the timing benchmarks which need many repeats

so when you run a benchmark the following will happen:

first we run the benchmark one time to see that it will pass the verify statement. This will ensure that we dont break any assertions from the real runtime.
then we run the benchmark one more time to collect DB results
then we run the benchmark R times where R is the number of repeats we want to execute, and this collects timing results, but we dont do any DB tracking, so all of that additional overhead is removed (specifically populating hashmaps)

frame/bounties/src/weights.rs

frame/assets/src/weights.rs

frame/balances/src/weights.rs

frame/bounties/src/weights.rs

frame/collective/src/weights.rs

frame/democracy/src/weights.rs

frame/election-provider-multi-phase/src/weights.rs

frame/gilt/src/weights.rs

shawntabrizi · 2021-08-01T09:51:04Z

frame/multisig/src/weights.rs

 			.saturating_add(RocksDbWeight::get().reads(2 as Weight))
 			.saturating_add(RocksDbWeight::get().writes(1 as Weight))
 	}
+	// Storage: unknown [0x3a65787472696e7369635f696e646578] (r:1 w:0)


{ "name": ":extrinsic_index", "key": "0x3a65787472696e7369635f696e646578" },

frame/staking/src/weights.rs

shawntabrizi · 2021-08-01T09:57:41Z

frame/transaction-storage/src/weights.rs

 pub struct SubstrateWeight<T>(PhantomData<T>);
 impl<T: frame_system::Config> WeightInfo for SubstrateWeight<T> {
+	// Storage: TransactionStorage EntryFee (r:1 w:0)
+	// Storage: unknown [0x3a65787472696e7369635f696e646578] (r:1 w:0)


{ "name": ":extrinsic_index", "key": "0x3a65787472696e7369635f696e646578" },

shawntabrizi · 2021-08-01T09:58:59Z

System benchmarks probably need to be updated

shawntabrizi · 2021-08-02T11:57:15Z

/benchmark runtime pallet frame_system

parity-benchapp · 2021-08-02T11:57:16Z

Benchmark Runtime Pallet for branch "shawntabrizi-weights-with-meta" with command cargo run --quiet --release --features=runtime-benchmarks --manifest-path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=frame_system --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/system/src/weights.rs --template=./.maintain/frame-weight-template.hbs

Results

Pallet: "frame_system", Extrinsic: "remark", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    5.391
    + b        0
              µs

Reads = 0 + (0 * b)
Writes = 0 + (0 * b)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    b   mean µs  sigma µs       %
    0     1.276     0.019    1.4%
78643      73.4      0.02    0.0%
157286     145.1     0.018    0.0%
235929     216.8      0.04    0.0%
314572     288.5     0.024    0.0%
393215     360.3     0.028    0.0%
471858     431.9     0.039    0.0%
550501     503.6     0.032    0.0%
629144     575.3      0.04    0.0%
707787     647.4     1.331    0.2%
786430     718.7     0.049    0.0%
865073     790.8     1.506    0.1%
943716     864.7     3.239    0.3%
1022359     932.4     6.842    0.7%
1101002      1007     2.986    0.2%
1179645      1071     9.368    0.8%
1258288      1151     4.293    0.3%
1336931      1222     2.148    0.1%
1415574      1293      1.42    0.1%
1494217      1365     2.396    0.1%
1572860      1432     9.873    0.6%
1651503      1493     16.86    1.1%
1730146      1579     2.256    0.1%
1808789      1650     1.597    0.0%
1887432      1722     0.431    0.0%
1966075      1787     11.96    0.6%
2044718      1854     12.23    0.6%
2123361      1927     18.48    0.9%
2202004      1992      14.3    0.7%
2280647      2058     17.34    0.8%
2359290      2138     12.18    0.5%
2437933      2218     9.667    0.4%
2516576      2288     7.107    0.3%
2595219      2352      14.1    0.5%
2673862      2422     3.339    0.1%
2752505      2492     3.676    0.1%
2831148      2566     16.98    0.6%
2909791      2638     8.929    0.3%
2988434      2704     2.897    0.1%
3067077      2775      2.46    0.0%
3145720      2842     11.65    0.4%
3224363      2917     2.713    0.0%
3303006      2997     13.61    0.4%
3381649      3059     7.871    0.2%
3460292      3139     12.21    0.3%
3538935      3197     1.266    0.0%
3617578      3272     10.32    0.3%
3696221      3351     14.22    0.4%
3774864      3420     14.07    0.4%
3853507      3484     11.52    0.3%

Quality and confidence:
param     error
b             0

Model:
Time ~=    7.988
    + b    0.001
              µs

Reads = 0 + (0 * b)
Writes = 0 + (0 * b)
Pallet: "frame_system", Extrinsic: "remark_with_event", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=     13.2
    + b    0.001
              µs

Reads = 0 + (0 * b)
Writes = 0 + (0 * b)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    b   mean µs  sigma µs       %
    0     16.86      0.05    0.2%
78643       169     0.071    0.0%
157286     319.5     0.153    0.0%
235929     470.3     0.348    0.0%
314572     620.5     0.324    0.0%
393215     772.2     0.147    0.0%
471858     920.6     0.162    0.0%
550501      1072     2.193    0.2%
629144      1227     2.975    0.2%
707787      1379     3.272    0.2%
786430      1530      3.76    0.2%
865073      1678     5.548    0.3%
943716      1817     13.09    0.7%
1022359      1965     13.44    0.6%
1101002      2130     7.845    0.3%
1179645      2268     11.63    0.5%
1258288      2420     4.843    0.2%
1336931      2571      10.4    0.4%
1415574      2718     12.94    0.4%
1494217      2864     2.338    0.0%
1572860      3015     14.89    0.4%
1651503      3161     9.879    0.3%
1730146      3317     11.99    0.3%
1808789      3472     13.58    0.3%
1887432      3624     11.71    0.3%
1966075      3771     10.48    0.2%
2044718      3918      14.3    0.3%
2123361      4069     15.09    0.3%
2202004      4240     19.94    0.4%
2280647      4468     43.72    0.9%
2359290      4517     11.98    0.2%
2437933      4674     17.17    0.3%
2516576      4827     11.34    0.2%
2595219      4986     18.83    0.3%
2673862      5137     17.25    0.3%
2752505      5290     7.255    0.1%
2831148      5448     11.52    0.2%
2909791      5612     14.84    0.2%
2988434      5756     18.12    0.3%
3067077      5895     4.775    0.0%
3145720      6063     12.12    0.1%
3224363      6215     13.31    0.2%
3303006      6363     14.05    0.2%
3381649      6524     13.33    0.2%
3460292      6678     9.716    0.1%
3538935      6833     11.69    0.1%
3617578      6985     2.678    0.0%
3696221      7136     3.152    0.0%
3774864      7283     5.962    0.0%
3853507      7437     4.489    0.0%

Quality and confidence:
param     error
b             0

Model:
Time ~=    5.285
    + b    0.002
              µs

Reads = 0 + (0 * b)
Writes = 0 + (0 * b)
Pallet: "frame_system", Extrinsic: "set_heap_pages", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    2.088
              µs

Reads = 0
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    2.088
              µs

Reads = 0
Writes = 1
Pallet: "frame_system", Extrinsic: "set_changes_trie_config", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    8.762
              µs

Reads = 1
Writes = 2
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    8.762
              µs

Reads = 1
Writes = 2
Pallet: "frame_system", Extrinsic: "set_storage", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=        0
    + i    0.848
              µs

Reads = 0 + (0 * i)
Writes = 0 + (1 * i)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    i   mean µs  sigma µs       %
    1     2.677     0.037    1.3%
   20     18.58     0.212    1.1%
   39     33.82     0.087    0.2%
   58     50.05     0.197    0.3%
   77     65.21     0.177    0.2%
   96     80.17     0.386    0.4%
  115     97.03     0.324    0.3%
  134     112.4      0.36    0.3%
  153       129     0.222    0.1%
  172     144.6     0.199    0.1%
  191     161.7     0.389    0.2%
  210     177.7     0.264    0.1%
  229     193.8     0.322    0.1%
  248     210.5     0.175    0.0%
  267     225.1     1.249    0.5%
  286     239.6      0.93    0.3%
  305       255     0.577    0.2%
  324     272.4     0.802    0.2%
  343     289.8     0.529    0.1%
  362     304.9     1.103    0.3%
  381     320.5     0.741    0.2%
  400     336.1      1.39    0.4%
  419     351.3      1.51    0.4%
  438     370.4      1.26    0.3%
  457     386.8     1.606    0.4%
  476     402.7     2.414    0.5%
  495     419.2     1.714    0.4%
  514     436.7     0.732    0.1%
  533     455.4     0.874    0.1%
  552     470.6     1.126    0.2%
  571     484.8     3.058    0.6%
  590     500.2     3.636    0.7%
  609     518.6     4.768    0.9%
  628     535.2     3.966    0.7%
  647     547.8     6.273    1.1%
  666     556.2     1.434    0.2%
  685     579.9     5.874    1.0%
  704     601.8     1.636    0.2%
  723     615.5     4.516    0.7%
  742     643.4     3.129    0.4%
  761     652.7     2.531    0.3%
  780     669.9     4.171    0.6%
  799     674.5     6.555    0.9%
  818     692.6     7.259    1.0%
  837     708.7      7.69    1.0%
  856     731.1      9.53    1.3%
  875     741.9     9.378    1.2%
  894     756.8      7.28    0.9%
  913     766.6     1.616    0.2%
  932     799.6     9.898    1.2%

Quality and confidence:
param     error
i             0

Model:
Time ~=        0
    + i    0.851
              µs

Reads = 0 + (0 * i)
Writes = 0 + (1 * i)
Pallet: "frame_system", Extrinsic: "kill_storage", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    2.069
    + i    0.555
              µs

Reads = 0 + (0 * i)
Writes = 0 + (1 * i)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    i   mean µs  sigma µs       %
    1     2.604     0.051    1.9%
   20      13.2     0.059    0.4%
   39      23.8     0.056    0.2%
   58     34.24     0.146    0.4%
   77     44.88     0.074    0.1%
   96     55.54      0.12    0.2%
  115     68.32      0.15    0.2%
  134     79.61     0.199    0.2%
  153     90.05     0.165    0.1%
  172       101     0.135    0.1%
  191     113.1     0.323    0.2%
  210     122.7     0.313    0.2%
  229     127.8     0.308    0.2%
  248     139.1     0.356    0.2%
  267     149.5     0.355    0.2%
  286     158.7     1.182    0.7%
  305       169     0.388    0.2%
  324     181.5     0.758    0.4%
  343     191.4     1.175    0.6%
  362     200.8     1.914    0.9%
  381     213.1     0.609    0.2%
  400     221.7     2.012    0.9%
  419     232.8     2.135    0.9%
  438     246.8     1.583    0.6%
  457     253.5     2.387    0.9%
  476     265.5     2.562    0.9%
  495     273.4     2.171    0.7%
  514     286.1     2.432    0.8%
  533     299.6     3.007    1.0%
  552     304.7     0.773    0.2%
  571     313.9     0.585    0.1%
  590     334.5     6.901    2.0%
  609     341.2      3.22    0.9%
  628     351.1     3.392    0.9%
  647     360.9     3.141    0.8%
  666     373.3     4.906    1.3%
  685     382.5     5.589    1.4%
  704     392.8     4.151    1.0%
  723     401.2     1.326    0.3%
  742     412.5     1.009    0.2%
  761     424.5     3.971    0.9%
  780     441.2     9.849    2.2%
  799     448.5     5.071    1.1%
  818       454     1.271    0.2%
  837     465.9     1.352    0.2%
  856     480.2     3.169    0.6%
  875     488.9      1.23    0.2%
  894     502.4     4.694    0.9%
  913     515.9     11.39    2.2%
  932     520.9     2.819    0.5%

Quality and confidence:
param     error
i             0

Model:
Time ~=    1.999
    + i    0.556
              µs

Reads = 0 + (0 * i)
Writes = 0 + (1 * i)
Pallet: "frame_system", Extrinsic: "kill_prefix", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    12.03
    + p    0.786
              µs

Reads = 0 + (0 * p)
Writes = 0 + (1 * p)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    p   mean µs  sigma µs       %
    1     6.235     0.053    0.8%
   20     24.94     1.028    4.1%
   39     45.76     0.254    0.5%
   58     67.34       0.5    0.7%
   77      72.6     1.355    1.8%
   96     85.23     0.941    1.1%
  115     101.7      0.98    0.9%
  134     116.1     1.286    1.1%
  153     132.6     1.134    0.8%
  172     151.1      1.89    1.2%
  191     165.2     2.137    1.2%
  210     182.9     2.731    1.4%
  229     192.5     2.385    1.2%
  248     203.2     0.861    0.4%
  267     220.9     3.469    1.5%
  286     232.7     2.317    0.9%
  305     242.1     1.124    0.4%
  324     270.8     3.402    1.2%
  343     276.9     2.629    0.9%
  362     298.4      1.25    0.4%
  381     312.3     4.629    1.4%
  400     318.2     3.237    1.0%
  419     341.6     3.794    1.1%
  438     357.9     3.843    1.0%
  457     369.7     3.576    0.9%
  476     395.4     3.365    0.8%
  495     407.9     6.278    1.5%
  514     411.1     3.264    0.7%
  533     438.4     6.822    1.5%
  552     447.4     5.782    1.2%
  571     469.7      8.96    1.9%
  590     478.6     4.558    0.9%
  609     485.7     7.835    1.6%
  628     505.4     6.137    1.2%
  647     537.8     5.851    1.0%
  666     531.5     5.978    1.1%
  685     551.6     9.024    1.6%
  704     580.1     10.85    1.8%
  723     564.3     8.562    1.5%
  742     596.1     9.199    1.5%
  761       614     11.06    1.8%
  780     624.8     10.62    1.7%
  799       636     11.28    1.7%
  818     661.8     10.62    1.6%
  837     674.6     7.207    1.0%
  856     699.3      11.6    1.6%
  875     714.6     10.72    1.5%
  894     701.3     7.953    1.1%
  913     716.1      0.84    0.1%
  932     742.7        12    1.6%

Quality and confidence:
param     error
p         0.001

Model:
Time ~=    12.03
    + p    0.788
              µs

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

shawntabrizi · 2021-08-06T23:38:31Z

/benchmark runtime pallet pallet_democracy

parity-benchapp · 2021-08-06T23:38:32Z

Benchmark Runtime Pallet for branch "shawntabrizi-weights-with-meta" with command cargo run --quiet --release --features=runtime-benchmarks --manifest-path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_democracy --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/democracy/src/weights.rs --template=./.maintain/frame-weight-template.hbs

Results

Pallet: "pallet_democracy", Extrinsic: "propose", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    68.13
              µs

Reads = 3
Writes = 3
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    68.13
              µs

Reads = 3
Writes = 3
Pallet: "pallet_democracy", Extrinsic: "second", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    41.68
    + s    0.194
              µs

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

Data points distribution:
    s   mean µs  sigma µs       %
    0     39.92     0.078    0.1%
    2     41.31     0.066    0.1%
    4     40.92     0.079    0.1%
    6     41.94     0.131    0.3%
    8     42.26     0.161    0.3%
   10     42.84     0.316    0.7%
   12     42.99     0.164    0.3%
   14     43.68     0.291    0.6%
   16     44.21     0.134    0.3%
   18     44.67     0.368    0.8%
   20     44.43     0.206    0.4%
   22     45.52     0.144    0.3%
   24     46.85      0.69    1.4%
   26     47.81     0.123    0.2%
   28     48.43     0.399    0.8%
   30     47.78     0.452    0.9%
   32     48.55      0.33    0.6%
   34     48.64     0.187    0.3%
   36     49.57     0.232    0.4%
   38     49.89     0.119    0.2%
   40     49.85     0.169    0.3%
   42     50.28      0.11    0.2%
   44     50.99      0.25    0.4%
   46      51.7     0.319    0.6%
   48      51.2     0.476    0.9%
   50     52.03     0.224    0.4%
   52     52.34     0.194    0.3%
   54     52.72     0.137    0.2%
   56     51.52     0.181    0.3%
   58     51.85     0.405    0.7%
   60     53.44      0.43    0.8%
   62     55.56     0.276    0.4%
   64     56.04     0.148    0.2%
   66     56.27     0.268    0.4%
   68     54.52     0.479    0.8%
   70      53.4     0.114    0.2%
   72     53.67     0.249    0.4%
   74     56.57     0.143    0.2%
   76     56.71     0.184    0.3%
   78     56.86     0.122    0.2%
   80      57.2     0.109    0.1%
   82     57.47      0.16    0.2%
   84     57.11     0.802    1.4%
   86     55.56     0.336    0.6%
   88     58.82     0.277    0.4%
   90        59     0.271    0.4%
   92     59.35     0.179    0.3%
   94     59.05     0.287    0.4%
   96     58.91     0.755    1.2%
   98     58.52      1.26    2.1%
  100     60.56      0.22    0.3%

Quality and confidence:
param     error
s         0.001

Model:
Time ~=    41.56
    + s    0.193
              µs

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

Model:
Time ~=    47.24
    + r    0.242
              µs

Reads = 3 + (0 * r)
Writes = 3 + (0 * r)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    r   mean µs  sigma µs       %
    1     46.08     0.134    0.2%
    2     46.53     0.106    0.2%
    3     47.14     0.163    0.3%
    4     47.76     0.355    0.7%
    5     47.41     0.133    0.2%
    6     48.63     0.137    0.2%
    7     48.21     0.127    0.2%
    8        49     0.134    0.2%
    9     49.07       0.2    0.4%
   10     49.35     0.109    0.2%
   11     49.71     0.149    0.2%
   12     50.13     0.272    0.5%
   13      49.8     0.212    0.4%
   14     50.62     0.122    0.2%
   15     51.38     0.165    0.3%
   16     51.87     0.112    0.2%
   17     51.49     0.129    0.2%
   18     51.93     0.395    0.7%
   19     52.46      0.09    0.1%
   20     52.24     0.183    0.3%
   21     52.66     0.195    0.3%
   22     52.83     0.053    0.1%
   23     52.86     0.151    0.2%
   24     52.69     0.161    0.3%
   25     53.27     0.121    0.2%
   26     53.42     0.103    0.1%
   27     53.59     0.129    0.2%
   28      53.9     0.201    0.3%
   29     54.16      0.18    0.3%
   30     54.21     0.097    0.1%
   31     54.32      0.17    0.3%
   32     55.14     0.156    0.2%
   33     54.99      0.13    0.2%
   34     54.71     0.595    1.0%
   35     55.32     0.603    1.0%
   36     55.22     0.152    0.2%
   37     55.86       0.1    0.1%
   38     54.35     0.809    1.4%
   39     56.45     0.184    0.3%
   40     55.11     0.775    1.4%
   41     56.46     0.547    0.9%
   42     57.37      0.12    0.2%
   43     57.53     0.149    0.2%
   44     57.53     0.086    0.1%
   45     57.27     1.082    1.8%
   46     57.15     1.067    1.8%
   47     57.39     1.115    1.9%
   48     57.91     0.922    1.5%
   49     56.11     0.602    1.0%
   50     58.94     0.892    1.5%
   51     59.57      0.84    1.4%
   52     61.76     0.145    0.2%
   53     62.64      0.45    0.7%
   54     63.65     0.136    0.2%
   55     63.92     0.109    0.1%
   56     63.54     0.146    0.2%
   57     62.21     1.462    2.3%
   58     64.13     0.164    0.2%
   59     64.84     0.125    0.1%
   60      62.4     1.295    2.0%
   61     64.86      0.12    0.1%
   62     65.53     0.129    0.1%
   63     66.28     0.064    0.0%
   64     64.42     0.143    0.2%
   65     64.22     0.111    0.1%
   66     65.76     0.121    0.1%
   67      64.8     0.182    0.2%
   68     63.72     1.801    2.8%
   69     62.01     1.754    2.8%
   70     65.21      0.17    0.2%
   71     63.64     1.723    2.7%
   72     66.97     0.125    0.1%
   73      64.5     1.602    2.4%
   74      65.7     0.794    1.2%
   75     63.59     1.667    2.6%
   76     67.33     0.131    0.1%
   77      67.5     0.062    0.0%
   78     67.43     0.185    0.2%
   79     67.08     0.221    0.3%
   80     66.47     1.409    2.1%
   81     67.77     0.169    0.2%
   82     68.49     0.136    0.1%
   83     64.95     1.926    2.9%
   84     67.24      2.12    3.1%
   85     62.23     0.111    0.1%
   86     68.19     0.197    0.2%
   87     65.73     2.154    3.2%
   88     68.58     0.156    0.2%
   89     68.38       0.2    0.2%
   90     69.83     0.201    0.2%
   91     67.07     2.355    3.5%
   92      64.9     1.455    2.2%
   93     64.13     0.154    0.2%
   94     64.31     0.152    0.2%
   95     65.41     0.116    0.1%
   96     65.39     0.477    0.7%
   97     68.55     2.225    3.2%
   98     70.44     0.466    0.6%
   99     66.99     1.656    2.4%

Quality and confidence:
param     error
r         0.002

Model:
Time ~=    47.65
    + r     0.23
              µs

Reads = 3 + (0 * r)
Writes = 3 + (0 * r)
Pallet: "pallet_democracy", Extrinsic: "vote_existing", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    47.08
    + r    0.242
              µs

Reads = 3 + (0 * r)
Writes = 3 + (0 * r)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    r   mean µs  sigma µs       %
    1     47.07     0.108    0.2%
    2     47.21     0.403    0.8%
    3     47.52     0.129    0.2%
    4     47.35      0.09    0.1%
    5     47.35     0.114    0.2%
    6     48.26     0.185    0.3%
    7     48.55     0.112    0.2%
    8     48.57     0.108    0.2%
    9     50.11     0.315    0.6%
   10     49.04     0.102    0.2%
   11      49.8     0.135    0.2%
   12     49.45     0.078    0.1%
   13     49.86     0.118    0.2%
   14     50.44     0.129    0.2%
   15     50.28     0.214    0.4%
   16     51.45      0.11    0.2%
   17     50.82     0.119    0.2%
   18     51.83     0.082    0.1%
   19     51.49     0.151    0.2%
   20     52.11     0.238    0.4%
   21     52.05     0.183    0.3%
   22     52.89     0.098    0.1%
   23     52.16     0.228    0.4%
   24     52.66     0.229    0.4%
   25     52.59     0.141    0.2%
   26     53.42     0.249    0.4%
   27      53.5     0.093    0.1%
   28     53.98     0.154    0.2%
   29     54.37     0.136    0.2%
   30     54.18     0.077    0.1%
   31     54.33     0.192    0.3%
   32     54.85     0.158    0.2%
   33     55.28     0.112    0.2%
   34     54.07      0.52    0.9%
   35     55.41     0.209    0.3%
   36     55.42     0.125    0.2%
   37     55.19     0.835    1.5%
   38     56.08     0.134    0.2%
   39     56.31     0.172    0.3%
   40     56.57     0.085    0.1%
   41     56.25     0.765    1.3%
   42     57.23     0.161    0.2%
   43     57.67     0.108    0.1%
   44     57.84     0.187    0.3%
   45     57.34     1.217    2.1%
   46     58.39     0.151    0.2%
   47     58.52     0.181    0.3%
   48     58.67     0.236    0.4%
   49     56.48     0.632    1.1%
   50     59.28     0.165    0.2%
   51     60.82      0.42    0.6%
   52     59.27     1.228    2.0%
   53     60.24     0.096    0.1%
   54     60.58     0.683    1.1%
   55     59.05     0.732    1.2%
   56     61.69     0.122    0.1%
   57     58.64     0.218    0.3%
   58     62.37      0.13    0.2%
   59      63.6     0.178    0.2%
   60     63.08     0.187    0.2%
   61     63.36     0.162    0.2%
   62     63.93      0.23    0.3%
   63     64.83     0.168    0.2%
   64     64.79     0.221    0.3%
   65     64.72     0.163    0.2%
   66      65.4     0.162    0.2%
   67     62.45     1.532    2.4%
   68     64.13     1.164    1.8%
   69     65.38     0.251    0.3%
   70     65.28      0.14    0.2%
   71     65.93     0.183    0.2%
   72      61.9     0.153    0.2%
   73     65.82     0.158    0.2%
   74     64.03     1.931    3.0%
   75     66.19     0.196    0.2%
   76     64.35     1.941    3.0%
   77     66.31     0.172    0.2%
   78      66.8     0.283    0.4%
   79     66.99      0.17    0.2%
   80     67.54     0.271    0.4%
   81     67.19     1.182    1.7%
   82     67.38     0.114    0.1%
   83     64.57     2.132    3.3%
   84     66.05     2.151    3.2%
   85     62.22     0.143    0.2%
   86     68.36     0.216    0.3%
   87     67.79     0.111    0.1%
   88     68.15     0.195    0.2%
   89     67.72     0.118    0.1%
   90     69.18     0.092    0.1%
   91     69.56     0.183    0.2%
   92     63.88      0.17    0.2%
   93     63.86     0.193    0.3%
   94     64.25     0.231    0.3%
   95     64.37     0.125    0.1%
   96     64.71     0.125    0.1%
   97     64.91     0.217    0.3%
   98     64.77     0.209    0.3%
   99     67.07     2.758    4.1%

Quality and confidence:
param     error
r         0.002

Model:
Time ~=    47.72
    + r    0.221
              µs

Reads = 3 + (0 * r)
Writes = 3 + (0 * r)
Pallet: "pallet_democracy", Extrinsic: "emergency_cancel", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    27.62
              µs

Reads = 2
Writes = 2
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    27.62
              µs

Reads = 2
Writes = 2
Pallet: "pallet_democracy", Extrinsic: "blacklist", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    81.59
    + p    0.511
              µs

Reads = 5 + (0 * p)
Writes = 6 + (0 * p)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    p   mean µs  sigma µs       %
    1     41.61     0.257    0.6%
    2     80.58     0.177    0.2%
    3      80.7     0.142    0.1%
    4     80.91     0.118    0.1%
    5     83.82     0.792    0.9%
    6     83.23      0.19    0.2%
    7     83.32       0.1    0.1%
    8     84.15     0.232    0.2%
    9     85.08     0.303    0.3%
   10     85.51     0.194    0.2%
   11     86.43     0.306    0.3%
   12     86.79     0.235    0.2%
   13     87.45     0.154    0.1%
   14     88.13     0.177    0.2%
   15     88.48     0.227    0.2%
   16     88.75     0.217    0.2%
   17     89.94     0.406    0.4%
   18     90.79      0.22    0.2%
   19     90.97     0.406    0.4%
   20     91.92     0.227    0.2%
   21     92.68       0.3    0.3%
   22     93.52     0.158    0.1%
   23     93.89     0.184    0.1%
   24     95.03     0.291    0.3%
   25     94.76      0.28    0.2%
   26     95.36     0.205    0.2%
   27     94.73     0.216    0.2%
   28     96.82     0.179    0.1%
   29     96.27      0.34    0.3%
   30     97.27     0.436    0.4%
   31     97.38     0.644    0.6%
   32     97.64     0.474    0.4%
   33     99.31     0.242    0.2%
   34     100.2     0.185    0.1%
   35      99.4     0.718    0.7%
   36     99.52     0.281    0.2%
   37     99.49     0.332    0.3%
   38     100.3     0.729    0.7%
   39     100.9     0.341    0.3%
   40     102.9     0.968    0.9%
   41     104.1     0.349    0.3%
   42     104.8     0.145    0.1%
   43     105.3     0.364    0.3%
   44       104     1.054    1.0%
   45     105.8     0.325    0.3%
   46     106.3     0.441    0.4%
   47       106     0.233    0.2%
   48     105.2     1.146    1.0%
   49     105.5     0.608    0.5%
   50     109.6     1.186    1.0%
   51     107.9     1.112    1.0%
   52     106.7     0.398    0.3%
   53       110     0.279    0.2%
   54     109.5     0.397    0.3%
   55     109.5     0.862    0.7%
   56     109.5     0.923    0.8%
   57     109.6     1.336    1.2%
   58       110     0.723    0.6%
   59     109.7     0.419    0.3%
   60     111.1     1.412    1.2%
   61     110.5     0.167    0.1%
   62     114.6     0.213    0.1%
   63     114.8     0.222    0.1%
   64     115.1     0.152    0.1%
   65     115.7     0.191    0.1%
   66     116.7     0.262    0.2%
   67     113.1     0.243    0.2%
   68     114.9     1.645    1.4%
   69     114.5     0.321    0.2%
   70       118     0.599    0.5%
   71     116.2     1.842    1.5%
   72     119.1     0.225    0.1%
   73       120     0.179    0.1%
   74     120.3     0.247    0.2%
   75     120.1     0.762    0.6%
   76     117.7     1.409    1.1%
   77     121.6     1.215    0.9%
   78     117.6     0.193    0.1%
   79     118.4     0.737    0.6%
   80     123.7      0.24    0.1%
   81       124     0.267    0.2%
   82     119.7     1.542    1.2%
   83     124.3     0.331    0.2%
   84     125.4     0.379    0.3%
   85     125.4     0.233    0.1%
   86     125.4     1.322    1.0%
   87     126.5     1.246    0.9%
   88     125.3     2.686    2.1%
   89     125.1     2.513    2.0%
   90     122.9      0.83    0.6%
   91     128.5     0.232    0.1%
   92     123.8     0.457    0.3%
   93       125     0.221    0.1%
   94     125.6     2.267    1.8%
   95     129.1     2.396    1.8%
   96     128.8     3.016    2.3%
   97     125.8     1.728    1.3%
   98     127.7     2.564    2.0%
   99     125.9     0.208    0.1%
  100     131.4     2.553    1.9%

Quality and confidence:
param     error
p         0.004

Model:
Time ~=    80.16
    + p    0.519
              µs

Reads = 5 + (0 * p)
Writes = 6 + (0 * p)
Pallet: "pallet_democracy", Extrinsic: "external_propose", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    13.92
    + v     0.09
              µs

Reads = 2 + (0 * v)
Writes = 1 + (0 * v)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    v   mean µs  sigma µs       %
    1     13.55      0.05    0.3%
    2     13.65     0.079    0.5%
    3     14.14     0.037    0.2%
    4     14.15     0.053    0.3%
    5     14.23     0.082    0.5%
    6     14.18     0.044    0.3%
    7     14.35     0.067    0.4%
    8      14.7      0.07    0.4%
    9     14.61     0.106    0.7%
   10     14.67     0.048    0.3%
   11     14.74     0.083    0.5%
   12     14.75     0.134    0.9%
   13     15.04     0.076    0.5%
   14     14.97     0.086    0.5%
   15     15.21     0.048    0.3%
   16     15.42     0.152    0.9%
   17     15.46     0.104    0.6%
   18     15.39     0.083    0.5%
   19     15.53     0.148    0.9%
   20     15.69     0.105    0.6%
   21     15.69     0.085    0.5%
   22      15.8     0.085    0.5%
   23     15.77     0.099    0.6%
   24     15.95      0.09    0.5%
   25      15.8     0.124    0.7%
   26     16.03     0.117    0.7%
   27     16.06     0.099    0.6%
   28     16.14     0.121    0.7%
   29     16.51     0.093    0.5%
   30     16.22     0.078    0.4%
   31     16.69     0.103    0.6%
   32     16.89     0.109    0.6%
   33     17.25     0.159    0.9%
   34     17.32     0.129    0.7%
   35     17.46     0.111    0.6%
   36     17.43     0.121    0.6%
   37     17.68     0.135    0.7%
   38     17.73     0.068    0.3%
   39     17.81       0.1    0.5%
   40     17.81     0.114    0.6%
   41        18     0.091    0.5%
   42     18.04     0.158    0.8%
   43     18.13     0.084    0.4%
   44     18.15     0.111    0.6%
   45     18.42     0.094    0.5%
   46     18.27     0.096    0.5%
   47     18.48     0.085    0.4%
   48     18.61     0.123    0.6%
   49     18.55     0.133    0.7%
   50     18.64     0.101    0.5%
   51     18.66     0.073    0.3%
   52     18.93     0.106    0.5%
   53     18.99     0.163    0.8%
   54     19.06     0.075    0.3%
   55     19.09     0.133    0.6%
   56     19.23     0.101    0.5%
   57     19.21     0.075    0.3%
   58     19.17     0.112    0.5%
   59     19.35     0.138    0.7%
   60     19.62     0.131    0.6%
   61     19.62     0.094    0.4%
   62     19.59     0.101    0.5%
   63     19.73     0.062    0.3%
   64     19.61     0.113    0.5%
   65     19.74     0.092    0.4%
   66     19.86     0.136    0.6%
   67     20.09     0.169    0.8%
   68     20.17     0.095    0.4%
   69     20.38     0.105    0.5%
   70     20.29     0.233    1.1%
   71      20.6     0.124    0.6%
   72     20.38     0.155    0.7%
   73     20.52      0.07    0.3%
   74     20.68     0.088    0.4%
   75     20.59     0.133    0.6%
   76     20.58     0.094    0.4%
   77     20.82     0.117    0.5%
   78     20.77     0.129    0.6%
   79     20.89     0.093    0.4%
   80     21.95     0.113    0.5%
   81     21.01       0.1    0.4%
   82     21.11     0.113    0.5%
   83     21.43     0.108    0.5%
   84     21.44     0.066    0.3%
   85      21.3     0.062    0.2%
   86     21.57     0.069    0.3%
   87     21.62     0.112    0.5%
   88     21.93     0.132    0.6%
   89     22.75     0.169    0.7%
   90     21.88     0.118    0.5%
   91      21.9     0.069    0.3%
   92     22.32     0.138    0.6%
   93     22.31     0.104    0.4%
   94     22.24     0.083    0.3%
   95     22.31     0.156    0.6%
   96     22.61     0.143    0.6%
   97      22.7     0.098    0.4%
   98     22.83     0.088    0.3%
   99     22.65     0.112    0.4%
  100     22.75     0.151    0.6%

Quality and confidence:
param     error
v             0

Model:
Time ~=    13.88
    + v    0.092
              µs

Reads = 2 + (0 * v)
Writes = 1 + (0 * v)
Pallet: "pallet_democracy", Extrinsic: "external_propose_majority", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=     3.22
              µs

Reads = 0
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=     3.22
              µs

Reads = 0
Writes = 1
Pallet: "pallet_democracy", Extrinsic: "external_propose_default", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    3.213
              µs

Reads = 0
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    3.213
              µs

Reads = 0
Writes = 1
Pallet: "pallet_democracy", Extrinsic: "fast_track", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    28.57
              µs

Reads = 2
Writes = 3
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    28.57
              µs

Reads = 2
Writes = 3
Pallet: "pallet_democracy", Extrinsic: "veto_external", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    29.72
    + v    0.133
              µs

Reads = 2 + (0 * v)
Writes = 2 + (0 * v)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    v   mean µs  sigma µs       %
    0     28.99     0.071    0.2%
    2     29.55     0.097    0.3%
    4     29.99       0.1    0.3%
    6     29.88     0.121    0.4%
    8      30.5     0.106    0.3%
   10     30.94     0.044    0.1%
   12     31.06     0.236    0.7%
   14     31.33     0.151    0.4%
   16     31.63      0.17    0.5%
   18     31.93      0.09    0.2%
   20     31.93     0.131    0.4%
   22     32.56     0.107    0.3%
   24     32.52     0.111    0.3%
   26     32.96     0.162    0.4%
   28     33.13     0.064    0.1%
   30      33.6     0.124    0.3%
   32     34.33     0.162    0.4%
   34     34.79     0.168    0.4%
   36     35.15     0.187    0.5%
   38      35.3     0.112    0.3%
   40     35.64       0.1    0.2%
   42     35.97     0.277    0.7%
   44     35.97     0.122    0.3%
   46     36.26     0.098    0.2%
   48     36.57     0.183    0.5%
   50     36.46     0.108    0.2%
   52     36.73     0.127    0.3%
   54     37.14      0.17    0.4%
   56     37.69     0.259    0.6%
   58     37.78     0.085    0.2%
   60     37.97     0.145    0.3%
   62     38.44     0.101    0.2%
   64     38.28     0.125    0.3%
   66     38.95     0.237    0.6%
   68     38.97      0.16    0.4%
   70     39.24     0.138    0.3%
   72     39.47     0.136    0.3%
   74     39.71     0.114    0.2%
   76     39.71      0.14    0.3%
   78     40.04     0.126    0.3%
   80     40.07     0.126    0.3%
   82     40.54     0.099    0.2%
   84     40.64     0.092    0.2%
   86     41.15      0.13    0.3%
   88     41.44     0.138    0.3%
   90      41.5     0.189    0.4%
   92     41.38     0.308    0.7%
   94     42.27     0.081    0.1%
   96     42.04     0.109    0.2%
   98     41.88     0.179    0.4%
  100     41.83     0.104    0.2%

Quality and confidence:
param     error
v             0

Model:
Time ~=     29.7
    + v    0.133
              µs

Reads = 2 + (0 * v)
Writes = 2 + (0 * v)
Pallet: "pallet_democracy", Extrinsic: "cancel_proposal", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    54.88
    + p    0.483
              µs

Reads = 3 + (0 * p)
Writes = 3 + (0 * p)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    p   mean µs  sigma µs       %
    1     51.89      0.38    0.7%
    2     52.41     0.144    0.2%
    3     53.86     0.273    0.5%
    4     54.16     0.134    0.2%
    5     54.57     0.142    0.2%
    6     55.92     0.567    1.0%
    7     56.24     0.113    0.2%
    8     56.88     0.148    0.2%
    9     58.06      0.25    0.4%
   10     58.72     0.149    0.2%
   11     59.26     0.295    0.4%
   12     59.47       0.2    0.3%
   13     60.36     0.185    0.3%
   14     61.14     0.261    0.4%
   15     61.69     0.216    0.3%
   16     62.45     0.157    0.2%
   17     63.25     0.175    0.2%
   18     63.11     0.152    0.2%
   19     64.22     0.228    0.3%
   20     64.66     0.144    0.2%
   21     65.33     0.377    0.5%
   22     65.28     0.485    0.7%
   23     66.94     0.246    0.3%
   24     67.34     0.316    0.4%
   25     67.48     0.482    0.7%
   26     68.55       0.2    0.2%
   27     68.64     0.343    0.4%
   28     69.65      0.15    0.2%
   29     69.92      0.16    0.2%
   30     70.69     0.225    0.3%
   31     71.21     0.238    0.3%
   32     71.41      0.19    0.2%
   33     71.15     0.685    0.9%
   34     72.52     0.165    0.2%
   35     73.28     0.231    0.3%
   36     72.47     0.675    0.9%
   37     72.57     0.821    1.1%
   38     73.69     0.817    1.1%
   39     75.02     0.283    0.3%
   40     75.92     0.149    0.1%
   41     74.26     0.218    0.2%
   42      74.8     0.551    0.7%
   43     76.93      0.84    1.0%
   44     75.74     0.896    1.1%
   45      75.8     0.444    0.5%
   46     79.89     1.512    1.8%
   47      76.8     0.629    0.8%
   48     78.49     0.956    1.2%
   49     79.51     0.969    1.2%
   50     79.77     1.194    1.4%
   51     79.21     0.674    0.8%
   52     81.01     0.236    0.2%
   53      81.3      0.33    0.4%
   54     81.08     1.374    1.6%
   55     82.73     0.372    0.4%
   56      83.5      0.46    0.5%
   57     83.61     0.159    0.1%
   58     84.92     0.156    0.1%
   59     83.43     1.129    1.3%
   60     85.91     0.186    0.2%
   61     86.42     0.383    0.4%
   62     87.56     0.911    1.0%
   63     87.31     0.171    0.1%
   64     87.49      0.16    0.1%
   65     85.46     1.224    1.4%
   66     85.08     0.175    0.2%
   67     89.42     0.219    0.2%
   68     88.26     1.849    2.0%
   69     88.02     2.093    2.3%
   70     89.76     1.762    1.9%
   71     91.55     0.642    0.7%
   72     91.14     1.606    1.7%
   73     90.61     1.872    2.0%
   74     93.35     0.398    0.4%
   75      92.9     1.207    1.2%
   76     90.09     0.664    0.7%
   77     90.52     1.226    1.3%
   78     93.41     2.104    2.2%
   79     94.31     1.794    1.9%
   80     92.54     1.886    2.0%
   81     92.77     1.866    2.0%
   82     91.37     0.153    0.1%
   83     92.19     0.152    0.1%
   84     92.73     0.164    0.1%
   85     93.11     0.173    0.1%
   86     98.94     0.241    0.2%
   87     97.74     2.045    2.0%
   88     97.33     2.431    2.4%
   89     98.25     2.387    2.4%
   90     95.32     0.123    0.1%
   91     101.6     0.188    0.1%
   92     96.24     0.309    0.3%
   93      97.1     0.199    0.2%
   94     97.31      0.22    0.2%
   95        98     0.487    0.4%
   96     97.55     0.178    0.1%
   97     98.64     0.144    0.1%
   98     99.22     0.346    0.3%
   99     99.35     0.171    0.1%
  100     99.22     0.207    0.2%

Quality and confidence:
param     error
p         0.002

Model:
Time ~=    54.94
    + p    0.478
              µs

Reads = 3 + (0 * p)
Writes = 3 + (0 * p)
Pallet: "pallet_democracy", Extrinsic: "cancel_referendum", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    17.72
              µs

Reads = 0
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    17.72
              µs

Reads = 0
Writes = 1
Pallet: "pallet_democracy", Extrinsic: "cancel_queued", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    31.19
    + r    1.678
              µs

Reads = 2 + (0 * r)
Writes = 2 + (0 * r)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    r   mean µs  sigma µs       %
    1     30.65      0.19    0.6%
    2     32.37     0.181    0.5%
    3     34.32     0.096    0.2%
    4     37.75     0.058    0.1%
    5     38.56     0.172    0.4%
    6     40.99     0.334    0.8%
    7     43.11     0.168    0.3%
    8     45.11      0.26    0.5%
    9     46.51     0.119    0.2%
   10      48.3     0.372    0.7%
   11      49.5     0.139    0.2%
   12     52.11     0.138    0.2%
   13     52.74     0.133    0.2%
   14     53.61     0.155    0.2%
   15     55.08      0.12    0.2%
   16     60.18     0.179    0.2%
   17      61.2     0.183    0.2%
   18     64.69     0.755    1.1%
   19      65.5     0.946    1.4%
   20     65.97     0.097    0.1%
   21     68.33     0.266    0.3%
   22     69.27      0.16    0.2%
   23     69.02     0.183    0.2%
   24      74.4     0.171    0.2%
   25      74.9     0.325    0.4%
   26     74.81     0.102    0.1%
   27     76.13     0.345    0.4%
   28     76.63     0.588    0.7%
   29      78.6     0.124    0.1%
   30     80.24     0.183    0.2%
   31     82.06     0.126    0.1%
   32     84.22     0.673    0.7%
   33     86.45     0.197    0.2%
   34     87.57     0.236    0.2%
   35     88.98     0.091    0.1%
   36     90.41     0.261    0.2%
   37     90.83      0.26    0.2%
   38     93.72     0.161    0.1%
   39     95.48      0.33    0.3%
   40      97.1     0.172    0.1%
   41     96.88     0.164    0.1%
   42     98.48     0.225    0.2%
   43     101.5     0.122    0.1%
   44       101     0.114    0.1%
   45     104.6     0.222    0.2%
   46     107.2     0.192    0.1%
   47     109.5     1.065    0.9%
   48     109.8      0.15    0.1%
   49     109.2     0.943    0.8%
   50       112     0.977    0.8%
   51       115     0.652    0.5%
   52     119.1     1.141    0.9%
   53     120.1     1.192    0.9%
   54     121.3     1.165    0.9%
   55     124.1     0.698    0.5%
   56     124.7     1.082    0.8%
   57     126.2     0.283    0.2%
   58     129.8     1.051    0.8%
   59     133.5     0.157    0.1%
   60     134.2     0.203    0.1%
   61       135     0.169    0.1%
   62     134.8     1.071    0.7%
   63     138.2     1.181    0.8%
   64     137.2     0.099    0.0%
   65     141.3     1.438    1.0%
   66     143.5     1.133    0.7%
   67     144.1     1.178    0.8%
   68     148.3     0.148    0.0%
   69     148.4     0.182    0.1%
   70     148.9     0.195    0.1%
   71       151     0.187    0.1%
   72     154.3     0.553    0.3%
   73     151.2     0.212    0.1%
   74     156.9     0.625    0.3%
   75     160.1     0.174    0.1%
   76     160.7     0.284    0.1%
   77     159.6     1.594    0.9%
   78     164.6     0.152    0.0%
   79     167.3     0.147    0.0%
   80     168.3     0.125    0.0%
   81     170.6      0.11    0.0%
   82     171.4     0.119    0.0%
   83     172.4     0.111    0.0%
   84     170.8     1.523    0.8%
   85     173.8     1.364    0.7%
   86     178.2     0.144    0.0%
   87     179.3     0.177    0.0%
   88     179.6     0.644    0.3%
   89     180.4     0.147    0.0%
   90       181     0.779    0.4%
   91     179.6     0.859    0.4%
   92     182.4     0.204    0.1%
   93     183.9     0.738    0.4%
   94     185.8     0.299    0.1%
   95     186.4     0.172    0.0%
   96     189.9     2.124    1.1%
   97     192.6      1.45    0.7%
   98     191.5     0.552    0.2%
   99     193.4     1.307    0.6%

Quality and confidence:
param     error
r         0.002

Model:
Time ~=    31.06
    + r    1.677
              µs

Reads = 2 + (0 * r)
Writes = 2 + (0 * r)
Pallet: "pallet_democracy", Extrinsic: "on_initialize_base", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    7.985
    + r    5.178
              µs

Reads = 5 + (1 * r)
Writes = 0 + (0 * r)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    r   mean µs  sigma µs       %
    1     19.84     0.091    0.4%
    2     25.06     0.104    0.4%
    3      30.1     0.104    0.3%
    4     35.66      0.17    0.4%
    5     40.28     0.122    0.3%
    6     44.33     0.472    1.0%
    7     48.92     0.154    0.3%
    8     53.79     0.201    0.3%
    9     56.76     0.122    0.2%
   10     63.62     0.191    0.3%
   11     68.42     0.369    0.5%
   12     73.57     0.938    1.2%
   13     76.39     0.219    0.2%
   14     82.06     0.283    0.3%
   15     86.46     0.212    0.2%
   16     92.56     0.264    0.2%
   17     95.36     0.178    0.1%
   18     100.1      0.25    0.2%
   19     105.1     0.242    0.2%
   20     110.8     0.347    0.3%
   21     115.6     0.288    0.2%
   22     120.6     0.343    0.2%
   23       124     0.267    0.2%
   24     130.3      0.22    0.1%
   25     136.6     0.201    0.1%
   26     141.2     0.277    0.1%
   27     144.5     0.295    0.2%
   28     150.5     0.555    0.3%
   29     155.7     0.435    0.2%
   30     161.5     0.159    0.0%
   31     166.1     0.371    0.2%
   32     170.7     0.465    0.2%
   33     176.4     0.549    0.3%
   34     180.7     0.405    0.2%
   35     188.1     0.528    0.2%
   36     191.7     0.555    0.2%
   37     196.1      0.21    0.1%
   38     201.4     0.353    0.1%
   39     205.6     0.711    0.3%
   40     208.2      0.54    0.2%
   41     214.1     0.495    0.2%
   42     219.4     1.315    0.5%
   43     223.9      0.53    0.2%
   44     229.8     0.681    0.2%
   45     235.1     0.668    0.2%
   46     238.9     0.624    0.2%
   47       246     0.772    0.3%
   48     247.6     0.956    0.3%
   49     254.2     1.109    0.4%
   50     258.5     0.454    0.1%
   51     264.6     0.728    0.2%
   52     276.7      0.73    0.2%
   53     273.7     0.719    0.2%
   54     286.7     1.766    0.6%
   55     296.4     1.073    0.3%
   56     295.9     1.212    0.4%
   57     302.8     0.571    0.1%
   58     309.3     0.573    0.1%
   59     314.4     0.627    0.1%
   60     315.3     0.646    0.2%
   61     321.4     0.866    0.2%
   62     326.4     0.603    0.1%
   63     331.5     0.639    0.1%
   64     339.9      0.67    0.1%
   65     346.3     0.921    0.2%
   66     353.7     0.263    0.0%
   67       354     0.365    0.1%
   68       360     0.889    0.2%
   69     365.7     1.035    0.2%
   70     371.4     1.053    0.2%
   71     374.5     0.687    0.1%
   72     377.6      0.86    0.2%
   73     388.5     0.907    0.2%
   74     388.4     1.053    0.2%
   75     398.6     0.802    0.2%
   76     402.5     1.209    0.3%
   77     404.8      1.05    0.2%
   78       412     0.447    0.1%
   79     418.2     1.689    0.4%
   80     419.6     0.725    0.1%
   81     429.1     1.422    0.3%
   82     431.8     0.718    0.1%
   83     441.9     1.309    0.2%
   84     441.3     0.793    0.1%
   85     449.7     1.648    0.3%
   86     457.6     1.035    0.2%
   87       463     0.609    0.1%
   88     471.5     1.808    0.3%
   89     478.2     0.589    0.1%
   90     477.2     0.468    0.0%
   91     484.3     2.004    0.4%
   92     489.9     1.134    0.2%
   93     492.2     1.213    0.2%
   94     495.8     1.034    0.2%
   95       505     1.199    0.2%
   96     504.8     1.342    0.2%
   97     512.4     1.285    0.2%
   98     519.1     1.004    0.1%
   99     524.8     1.135    0.2%

Quality and confidence:
param     error
r         0.004

Model:
Time ~=    7.266
    + r    5.189
              µs

Reads = 5 + (1 * r)
Writes = 0 + (0 * r)
Pallet: "pallet_democracy", Extrinsic: "delegate", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    55.44
    + r    7.399
              µs

Reads = 4 + (1 * r)
Writes = 4 + (1 * r)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    r   mean µs  sigma µs       %
    1     70.86      0.16    0.2%
    2     79.15       0.7    0.8%
    3     85.05     0.294    0.3%
    4     92.68     0.399    0.4%
    5     98.61     0.198    0.2%
    6     106.1     0.187    0.1%
    7     112.7     0.163    0.1%
    8     120.4     0.304    0.2%
    9     125.8     0.397    0.3%
   10     132.6     0.202    0.1%
   11     140.1     0.331    0.2%
   12     146.7     0.236    0.1%
   13     151.5     0.498    0.3%
   14     159.8     0.454    0.2%
   15     165.5     0.231    0.1%
   16     173.2     0.594    0.3%
   17     181.1     0.542    0.2%
   18       186     0.359    0.1%
   19     195.2     0.447    0.2%
   20     201.6      0.67    0.3%
   21     208.4     0.994    0.4%
   22     216.2     0.392    0.1%
   23     225.1     0.398    0.1%
   24     228.5      0.45    0.1%
   25     236.7     0.469    0.1%
   26     242.1     0.692    0.2%
   27     249.5     0.796    0.3%
   28     258.6     1.095    0.4%
   29     264.7     0.847    0.3%
   30     269.3     1.029    0.3%
   31     279.9     0.664    0.2%
   32     287.2     0.396    0.1%
   33     291.8     1.031    0.3%
   34     300.2     1.175    0.3%
   35     308.4     0.976    0.3%
   36       315     0.761    0.2%
   37     321.1     0.715    0.2%
   38     328.2     0.689    0.2%
   39     333.1     1.894    0.5%
   40     340.9     0.485    0.1%
   41     348.9     0.878    0.2%
   42     355.2     1.226    0.3%
   43       363     0.415    0.1%
   44     372.7     1.634    0.4%
   45     381.4     1.723    0.4%
   46     388.4     1.348    0.3%
   47       392     0.785    0.2%
   48     403.2     0.713    0.1%
   49     413.2     0.972    0.2%
   50     424.4     3.832    0.9%
   51       435     12.11    2.7%
   52     435.1     0.841    0.1%
   53     446.7      7.64    1.7%
   54     453.3     3.797    0.8%
   55     463.3     1.471    0.3%
   56     472.3      1.55    0.3%
   57     478.4     1.001    0.2%
   58     483.8     1.119    0.2%
   59       495     1.311    0.2%
   60       500     0.568    0.1%
   61     506.7     0.717    0.1%
   62     512.5     2.336    0.4%
   63     522.5     1.775    0.3%
   64     531.9     1.486    0.2%
   65     538.2     1.123    0.2%
   66     547.3     1.394    0.2%
   67     550.8     1.441    0.2%
   68     563.3     1.931    0.3%
   69     568.2     1.547    0.2%
   70     578.6     1.244    0.2%
   71     580.7     1.619    0.2%
   72     589.9     2.309    0.3%
   73     599.7     2.165    0.3%
   74       605     1.019    0.1%
   75     615.2      1.86    0.3%
   76     620.7     1.158    0.1%
   77     624.2     0.871    0.1%
   78     632.4     1.479    0.2%
   79     639.3     2.035    0.3%
   80     644.7     1.412    0.2%
   81     657.3     1.233    0.1%
   82     667.2     2.992    0.4%
   83     676.4     1.413    0.2%
   84     678.6     1.916    0.2%
   85     680.7     0.896    0.1%
   86     693.2     1.156    0.1%
   87     702.7     1.169    0.1%
   88     708.2     1.481    0.2%
   89     710.9     1.238    0.1%
   90       717     1.742    0.2%
   91     723.4     1.482    0.2%
   92     738.6     1.944    0.2%
   93     740.9     1.349    0.1%
   94       753     1.133    0.1%
   95     760.4     1.711    0.2%
   96     775.5     1.914    0.2%
   97     777.4     1.491    0.1%
   98     782.6     2.653    0.3%
   99       792     2.109    0.2%

Quality and confidence:
param     error
r         0.005

Model:
Time ~=    53.86
    + r    7.417
              µs

Reads = 4 + (1 * r)
Writes = 4 + (1 * r)
Pallet: "pallet_democracy", Extrinsic: "undelegate", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    25.37
    + r    7.385
              µs

Reads = 2 + (1 * r)
Writes = 2 + (1 * r)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    r   mean µs  sigma µs       %
    1      40.3     0.183    0.4%
    2     48.45     0.245    0.5%
    3     55.15     0.112    0.2%
    4      61.6     0.195    0.3%
    5     68.75     0.102    0.1%
    6     74.93     0.189    0.2%
    7     82.27     0.634    0.7%
    8     88.47     0.307    0.3%
    9      95.7     0.357    0.3%
   10     104.8      0.82    0.7%
   11     109.8     0.566    0.5%
   12     115.8     0.718    0.6%
   13     122.2     0.606    0.4%
   14     129.4     0.861    0.6%
   15     135.4     0.605    0.4%
   16     141.2      0.34    0.2%
   17     149.3     0.365    0.2%
   18     156.7     1.255    0.8%
   19       163     0.471    0.2%
   20     169.2     0.588    0.3%
   21     176.4     0.537    0.3%
   22     183.3     0.673    0.3%
   23     194.1     5.788    2.9%
   24     199.1     0.519    0.2%
   25     206.2     0.641    0.3%
   26     212.8     0.657    0.3%
   27     221.5     1.289    0.5%
   28     226.8     1.343    0.5%
   29     235.8     0.598    0.2%
   30     242.2     1.409    0.5%
   31     249.4     0.528    0.2%
   32       257     1.216    0.4%
   33     263.1     0.355    0.1%
   34     271.1      0.71    0.2%
   35     276.3     1.098    0.3%
   36     284.6     0.911    0.3%
   37     288.3     0.474    0.1%
   38     297.3     0.998    0.3%
   39     307.1     0.959    0.3%
   40     313.2     0.964    0.3%
   41     320.7     1.166    0.3%
   42     329.6     8.452    2.5%
   43     331.6     0.885    0.2%
   44     340.9     1.243    0.3%
   45     349.9     1.001    0.2%
   46     363.7     1.013    0.2%
   47     363.4     1.036    0.2%
   48     369.4     0.743    0.2%
   49       375     0.992    0.2%
   50     385.7     0.936    0.2%
   51     393.2     0.817    0.2%
   52       403     1.449    0.3%
   53     411.9     2.068    0.5%
   54     423.6     3.669    0.8%
   55     432.1     1.287    0.2%
   56     443.6     0.771    0.1%
   57     454.7     0.977    0.2%
   58     457.3     1.395    0.3%
   59     462.8     0.994    0.2%
   60     471.3     1.175    0.2%
   61     475.5     2.131    0.4%
   62     483.6     1.309    0.2%
   63       495     2.122    0.4%
   64     500.6     1.103    0.2%
   65     502.7     0.775    0.1%
   66     514.8     1.173    0.2%
   67     524.4     1.658    0.3%
   68     531.2      1.18    0.2%
   69     537.4     2.115    0.3%
   70     548.9     1.248    0.2%
   71     549.9     0.808    0.1%
   72       556     1.606    0.2%
   73     566.2     2.743    0.4%
   74     568.8     0.721    0.1%
   75     583.2     1.072    0.1%
   76       589     1.265    0.2%
   77     591.9     1.601    0.2%
   78     601.9     1.747    0.2%
   79     613.2     1.149    0.1%
   80     613.9     1.482    0.2%
   81     627.1     1.236    0.1%
   82     625.6     0.942    0.1%
   83     643.1     1.052    0.1%
   84     644.6      1.38    0.2%
   85     658.1     1.472    0.2%
   86       663     1.124    0.1%
   87     670.5     0.855    0.1%
   88     678.1     1.525    0.2%
   89     682.4     1.773    0.2%
   90     694.2     3.559    0.5%
   91     695.9      1.59    0.2%
   92     706.1     0.828    0.1%
   93     717.3     2.072    0.2%
   94     728.5     1.099    0.1%
   95     730.5     2.411    0.3%
   96     737.7     2.056    0.2%
   97     742.4     1.445    0.1%
   98     744.8     1.683    0.2%
   99     760.2     3.395    0.4%

Quality and confidence:
param     error
r         0.005

Model:
Time ~=    23.51
    + r    7.409
              µs

Reads = 2 + (1 * r)
Writes = 2 + (1 * r)
Pallet: "pallet_democracy", Extrinsic: "clear_public_proposals", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    3.191
              µs

Reads = 0
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    3.191
              µs

Reads = 0
Writes = 1
Pallet: "pallet_democracy", Extrinsic: "note_preimage", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    47.23
    + b    0.002
              µs

Reads = 1 + (0 * b)
Writes = 1 + (0 * b)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    b   mean µs  sigma µs       %
    0      25.5     0.134    0.5%
  327     47.32      0.11    0.2%
  654     48.21     0.153    0.3%
  981     49.61     0.308    0.6%
 1308     50.91     0.165    0.3%
 1635     51.72     0.138    0.2%
 1962     52.84     0.186    0.3%
 2289     53.22     0.233    0.4%
 2616     54.67     0.145    0.2%
 2943     55.42     0.131    0.2%
 3270     56.33     0.301    0.5%
 3597     57.37     0.275    0.4%
 3924     58.18     0.251    0.4%
 4251     59.13     0.226    0.3%
 4578      59.9     0.129    0.2%
 4905     61.19     0.159    0.2%
 5232     61.74      0.14    0.2%
 5559     62.69     0.105    0.1%
 5886     63.23     0.169    0.2%
 6213     64.32     0.177    0.2%
 6540     65.36     0.178    0.2%
 6867     65.91     0.102    0.1%
 7194     67.81     0.453    0.6%
 7521      67.8     0.236    0.3%
 7848     69.05      0.17    0.2%
 8175     69.78     0.103    0.1%
 8502     70.31     0.438    0.6%
 8829     71.51     0.161    0.2%
 9156     72.29     0.133    0.1%
 9483     73.53     0.084    0.1%
 9810     72.82     0.118    0.1%
10137     75.15     0.165    0.2%
10464     76.22     0.138    0.1%
10791     77.24     0.158    0.2%
11118     78.05     0.153    0.1%
11445     78.67     0.185    0.2%
11772     79.51     0.145    0.1%
12099     80.67     0.088    0.1%
12426     81.58       0.2    0.2%
12753     80.43     0.217    0.2%
13080     82.56     0.655    0.7%
13407     82.34     0.134    0.1%
13734      84.3     0.808    0.9%
14061      84.2     0.176    0.2%
14388     86.09     0.883    1.0%
14715     87.83     0.161    0.1%
15042     87.64     1.018    1.1%
15369     89.75     0.206    0.2%
15696     90.57     0.177    0.1%
16023     91.71     0.176    0.1%
16350     92.17     0.116    0.1%

Quality and confidence:
param     error
b             0

Model:
Time ~=    45.65
    + b    0.003
              µs

Reads = 1 + (0 * b)
Writes = 1 + (0 * b)
Pallet: "pallet_democracy", Extrinsic: "note_imminent_preimage", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    29.77
    + b    0.002
              µs

Reads = 1 + (0 * b)
Writes = 1 + (0 * b)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    b   mean µs  sigma µs       %
    0     28.97     0.066    0.2%
  327      30.4     0.153    0.5%
  654     31.33     0.139    0.4%
  981      32.7     0.242    0.7%
 1308     33.58     0.223    0.6%
 1635      34.3     0.183    0.5%
 1962     35.29     0.187    0.5%
 2289     36.11     0.096    0.2%
 2616     36.97     0.146    0.3%
 2943     37.15     0.292    0.7%
 3270     38.88     0.067    0.1%
 3597     39.89     0.164    0.4%
 3924     40.76     0.084    0.2%
 4251     41.45       0.2    0.4%
 4578     42.42     0.121    0.2%
 4905     43.36     0.154    0.3%
 5232     44.19     0.171    0.3%
 5559     45.26     0.128    0.2%
 5886     46.08      0.11    0.2%
 6213     47.01     0.081    0.1%
 6540     47.93     0.138    0.2%
 6867     48.68     0.124    0.2%
 7194     49.69     0.118    0.2%
 7521     50.51      0.05    0.0%
 7848     51.37     0.109    0.2%
 8175     52.29     0.076    0.1%
 8502     53.52     0.191    0.3%
 8829      54.2     0.135    0.2%
 9156     55.35     0.151    0.2%
 9483     55.89      0.16    0.2%
 9810     56.65     0.071    0.1%
10137     57.55     0.082    0.1%
10464     58.66     0.094    0.1%
10791     59.68     0.117    0.1%
11118     60.59     0.147    0.2%
11445     61.32     0.101    0.1%
11772     62.46     0.149    0.2%
12099     63.36     0.079    0.1%
12426     64.21     0.117    0.1%
12753     65.15     0.141    0.2%
13080     65.92     0.072    0.1%
13407     66.71     0.127    0.1%
13734     67.79     0.166    0.2%
14061     68.65     0.111    0.1%
14388      67.6     0.118    0.1%
14715     70.34     0.135    0.1%
15042      69.7     0.145    0.2%
15369     72.39     0.086    0.1%
15696     72.99     0.146    0.2%
16023     74.25     0.143    0.1%
16350     74.16     0.621    0.8%

Quality and confidence:
param     error
b             0

Model:
Time ~=     29.8
    + b    0.003
              µs

Reads = 1 + (0 * b)
Writes = 1 + (0 * b)
Pallet: "pallet_democracy", Extrinsic: "reap_preimage", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    41.99
    + b    0.001
              µs

Reads = 2 + (0 * b)
Writes = 1 + (0 * b)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    b   mean µs  sigma µs       %
    0     30.24     0.161    0.5%
  327     42.25     0.151    0.3%
  654     42.52     0.128    0.3%
  981     44.09      0.32    0.7%
 1308     44.87     0.155    0.3%
 1635      45.1     0.504    1.1%
 1962     44.47     0.101    0.2%
 2289      45.4     0.335    0.7%
 2616     46.74     0.131    0.2%
 2943     47.66     0.229    0.4%
 3270     46.98     0.157    0.3%
 3597     48.34     0.145    0.2%
 3924     48.62     0.305    0.6%
 4251     49.49     0.161    0.3%
 4578     50.34     0.206    0.4%
 4905     50.74       0.1    0.1%
 5232     51.69     0.147    0.2%
 5559     50.96     0.441    0.8%
 5886      52.5     0.075    0.1%
 6213     53.06     0.084    0.1%
 6540     53.48     0.682    1.2%
 6867     53.33     0.126    0.2%
 7194     54.52       0.2    0.3%
 7521     54.29     0.578    1.0%
 7848      54.4     0.142    0.2%
 8175     56.77     0.149    0.2%
 8502     55.84     0.119    0.2%
 8829     57.33      0.64    1.1%
 9156     57.71     0.152    0.2%
 9483     57.63     0.122    0.2%
 9810     58.37      0.17    0.2%
10137     59.04     0.625    1.0%
10464     61.17     0.289    0.4%
10791     60.35     0.143    0.2%
11118      61.7      0.14    0.2%
11445     60.43     0.161    0.2%
11772      61.4     0.511    0.8%
12099     61.73     0.157    0.2%
12426     63.21     0.049    0.0%
12753     64.58     0.115    0.1%
13080     63.65      0.13    0.2%
13407     63.45     0.188    0.2%
13734     65.92     0.131    0.1%
14061     66.24     0.676    1.0%
14388     67.01     0.414    0.6%
14715     66.78     0.176    0.2%
15042     68.64     0.196    0.2%
15369     69.43     0.163    0.2%
15696     69.83     0.103    0.1%
16023      68.2     0.112    0.1%
16350     70.49     0.129    0.1%

Quality and confidence:
param     error
b             0

Model:
Time ~=    41.08
    + b    0.002
              µs

Reads = 2 + (0 * b)
Writes = 1 + (0 * b)
Pallet: "pallet_democracy", Extrinsic: "unlock_remove", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    40.52
    + r    0.111
              µs

Reads = 3 + (0 * r)
Writes = 3 + (0 * r)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    r   mean µs  sigma µs       %
    1     40.56     0.117    0.2%
    2     40.32     0.181    0.4%
    3     40.47     0.146    0.3%
    4      40.6     0.109    0.2%
    5     40.67     0.108    0.2%
    6     40.82     0.141    0.3%
    7      40.8     0.101    0.2%
    8     41.29     0.088    0.2%
    9     41.53     0.155    0.3%
   10     41.66     0.142    0.3%
   11      41.8     0.119    0.2%
   12     41.92     0.172    0.4%
   13     41.92     0.141    0.3%
   14     42.07     0.145    0.3%
   15     41.89     0.163    0.3%
   16      42.2     0.223    0.5%
   17     42.47     0.169    0.3%
   18     42.61     0.132    0.3%
   19      42.8     0.175    0.4%
   20     42.98     0.201    0.4%
   21     43.12     0.172    0.3%
   22     43.17     0.107    0.2%
   23     43.14     0.126    0.2%
   24     43.29     0.072    0.1%
   25     43.46      0.22    0.5%
   26     43.24       0.4    0.9%
   27     42.21     0.131    0.3%
   28     43.73     0.178    0.4%
   29     43.91     0.082    0.1%
   30     43.71     0.108    0.2%
   31     43.95     0.132    0.3%
   32     44.13     0.233    0.5%
   33     44.21     0.118    0.2%
   34     43.93     0.698    1.5%
   35     44.19     0.108    0.2%
   36     42.66     0.076    0.1%
   37     44.51     0.134    0.3%
   38     44.22     0.584    1.3%
   39     44.84     0.214    0.4%
   40     44.64     0.139    0.3%
   41     43.75     0.906    2.0%
   42     43.21     0.113    0.2%
   43     42.96     0.209    0.4%
   44     43.46     0.682    1.5%
   45     45.26     0.121    0.2%
   46     45.32     0.098    0.2%
   47     45.38     0.124    0.2%
   48     45.51     0.161    0.3%
   49     45.54      0.14    0.3%
   50     44.81     0.987    2.2%
   51     45.78     0.079    0.1%
   52     46.98     0.163    0.3%
   53     45.18     0.826    1.8%
   54     45.07      0.37    0.8%
   55      48.2      0.25    0.5%
   56     46.45     0.953    2.0%
   57     46.04     1.146    2.4%
   58     47.94     0.175    0.3%
   59     47.06     1.035    2.1%
   60     48.15     0.121    0.2%
   61     47.46     1.043    2.1%
   62     48.19     0.209    0.4%
   63     48.22     0.142    0.2%
   64     48.48     0.165    0.3%
   65     48.51     0.139    0.2%
   66     47.88     0.875    1.8%
   67     48.81     0.167    0.3%
   68     49.29     0.149    0.3%
   69     49.39     0.081    0.1%
   70     48.93     0.172    0.3%
   71     49.04     0.087    0.1%
   72     49.14     0.165    0.3%
   73     49.22     0.166    0.3%
   74     49.26     0.111    0.2%
   75     45.48     0.087    0.1%
   76     49.37      0.18    0.3%
   77      45.8     0.224    0.4%
   78     49.37     0.191    0.3%
   79     49.51     0.266    0.5%
   80     49.85     0.272    0.5%
   81     50.05     0.098    0.1%
   82     49.87     0.085    0.1%
   83     45.86     0.164    0.3%
   84     50.06      0.18    0.3%
   85     46.94     1.484    3.1%
   86     46.02     0.183    0.3%
   87     50.09     1.181    2.3%
   88     50.42     1.299    2.5%
   89     49.36     1.653    3.3%
   90     50.75     0.106    0.2%
   91     51.03       0.1    0.1%
   92      51.1     0.109    0.2%
   93     51.04     0.118    0.2%
   94     47.81      2.17    4.5%
   95     45.94     0.121    0.2%
   96     46.27     0.095    0.2%
   97     51.88     0.106    0.2%
   98     49.83     2.194    4.4%
   99     48.84     2.544    5.2%

Quality and confidence:
param     error
r         0.001

Model:
Time ~=    40.65
    + r    0.101
              µs

Reads = 3 + (0 * r)
Writes = 3 + (0 * r)
Pallet: "pallet_democracy", Extrinsic: "unlock_set", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    38.28
    + r    0.228
              µs

Reads = 3 + (0 * r)
Writes = 3 + (0 * r)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    r   mean µs  sigma µs       %
    1     37.02     0.111    0.2%
    2     37.69     0.097    0.2%
    3     38.38     0.417    1.0%
    4     38.39     0.132    0.3%
    5     39.62     0.171    0.4%
    6     38.84     0.114    0.2%
    7     39.67     0.166    0.4%
    8     40.56     0.147    0.3%
    9     39.91      0.13    0.3%
   10     40.24     0.083    0.2%
   11     40.54     0.066    0.1%
   12     40.59     0.123    0.3%
   13     40.89       0.1    0.2%
   14     40.74     0.102    0.2%
   15     41.77      0.19    0.4%
   16     41.83     0.088    0.2%
   17     42.46     0.164    0.3%
   18     42.17     0.119    0.2%
   19     43.07     0.125    0.2%
   20      42.5     0.104    0.2%
   21     43.21     0.212    0.4%
   22     43.06      0.12    0.2%
   23     43.75      0.12    0.2%
   24     43.21     0.118    0.2%
   25      44.2     0.156    0.3%
   26      43.1     0.472    1.0%
   27     44.45     0.118    0.2%
   28     44.77     0.106    0.2%
   29     45.04     0.102    0.2%
   30     45.15     0.189    0.4%
   31     45.59     0.166    0.3%
   32     45.69     0.102    0.2%
   33     46.49     0.179    0.3%
   34     46.72     0.201    0.4%
   35     45.61     0.598    1.3%
   36     46.86     0.178    0.3%
   37     45.46     0.448    0.9%
   38     46.55     0.712    1.5%
   39     45.06     0.122    0.2%
   40     45.61     0.082    0.1%
   41     46.53     0.882    1.8%
   42     46.05     0.562    1.2%
   43     47.44     0.629    1.3%
   44     48.23     0.081    0.1%
   45      47.4     0.806    1.7%
   46     48.21     0.909    1.8%
   47     48.75     0.914    1.8%
   48     47.08     0.088    0.1%
   49     47.42     0.663    1.3%
   50     50.07     0.123    0.2%
   51     50.39     0.091    0.1%
   52     49.88     1.167    2.3%
   53     51.02     0.367    0.7%
   54     51.42     0.424    0.8%
   55     52.32     0.253    0.4%
   56     49.65     0.211    0.4%
   57     52.55     0.221    0.4%
   58     51.62     1.089    2.1%
   59     53.53     0.265    0.4%
   60     53.06     0.083    0.1%
   61     49.85     0.226    0.4%
   62     52.23     1.361    2.6%
   63     53.74     0.233    0.4%
   64     54.73     0.134    0.2%
   65      54.3     0.149    0.2%
   66     54.68     0.163    0.2%
   67     54.47     0.134    0.2%
   68     54.82     0.232    0.4%
   69     55.26     0.154    0.2%
   70     55.68     0.157    0.2%
   71     53.88     1.767    3.2%
   72     55.76     0.166    0.2%
   73     54.47     1.603    2.9%
   74     53.12     1.465    2.7%
   75     56.03     0.123    0.2%
   76     56.23     0.153    0.2%
   77     56.45     0.149    0.2%
   78     56.56     0.153    0.2%
   79     53.77     1.766    3.2%
   80        57     0.139    0.2%
   81     56.94     0.117    0.2%
   82     52.72     0.136    0.2%
   83     57.44     0.094    0.1%
   84     57.69     0.187    0.3%
   85     57.26     1.401    2.4%
   86     57.77     0.165    0.2%
   87     57.88     0.169    0.2%
   88     56.95     1.896    3.3%
   89     54.78     1.832    3.3%
   90     56.44     2.046    3.6%
   91     54.65     0.207    0.3%
   92     54.51     0.129    0.2%
   93     55.15     1.599    2.8%
   94     60.23     0.141    0.2%
   95      60.4     0.149    0.2%
   96     60.78     0.251    0.4%
   97     60.18     0.333    0.5%
   98     54.94     0.152    0.2%
   99     55.41     0.727    1.3%

Quality and confidence:
param     error
r         0.001

Model:
Time ~=    38.42
    + r    0.216
              µs

Reads = 3 + (0 * r)
Writes = 3 + (0 * r)
Pallet: "pallet_democracy", Extrinsic: "remove_vote", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    21.23
    + r    0.218
              µs

Reads = 2 + (0 * r)
Writes = 2 + (0 * r)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    r   mean µs  sigma µs       %
    1     19.36     0.131    0.6%
    2     20.73     0.139    0.6%
    3     21.53     0.071    0.3%
    4     21.95     0.092    0.4%
    5      21.8     0.092    0.4%
    6     21.85     0.055    0.2%
    7     22.33     0.088    0.3%
    8     22.72     0.058    0.2%
    9     22.76     0.068    0.2%
   10     23.68     0.078    0.3%
   11      23.6     0.268    1.1%
   12     23.79     0.072    0.3%
   13     23.74     0.073    0.3%
   14     24.49      0.08    0.3%
   15     24.74     0.074    0.2%
   16     24.24     0.099    0.4%
   17     25.63     0.136    0.5%
   18     25.07     0.078    0.3%
   19     25.72      0.33    1.2%
   20     25.59     0.062    0.2%
   21     26.05     0.129    0.4%
   22     25.78     0.163    0.6%
   23     26.54     0.097    0.3%
   24     26.05     0.139    0.5%
   25      26.6     0.092    0.3%
   26     25.81     0.371    1.4%
   27     27.35     0.097    0.3%
   28     27.39      0.15    0.5%
   29     27.37     0.302    1.1%
   30     27.86     0.132    0.4%
   31     27.94     0.058    0.2%
   32     27.92     0.302    1.0%
   33      28.2     0.119    0.4%
   34     29.03     0.093    0.3%
   35      28.2     0.517    1.8%
   36     28.06     0.469    1.6%
   37     27.69     0.469    1.6%
   38     29.48     0.132    0.4%
   39     29.38      0.12    0.4%
   40     28.34     0.514    1.8%
   41     28.18     0.207    0.7%
   42     29.11     0.788    2.7%
   43      30.7     0.104    0.3%
   44     29.77     0.826    2.7%
   45     30.11     0.943    3.1%
   46     30.04     0.783    2.6%
   47     31.24     0.884    2.8%
   48     30.69     1.011    3.2%
   49      32.3     0.057    0.1%
   50     30.17     0.643    2.1%
   51     30.48     0.073    0.2%
   52     31.12     0.189    0.6%
   53     30.91     0.231    0.7%
   54      32.3     1.189    3.6%
   55     34.68     0.124    0.3%
   56     33.95      1.07    3.1%
   57        35     0.131    0.3%
   58      35.2     0.136    0.3%
   59     34.06     1.532    4.4%
   60     33.28     1.152    3.4%
   61     35.54     0.098    0.2%
   62     35.96     0.119    0.3%
   63     35.82     0.127    0.3%
   64        36     1.303    3.6%
   65     36.99     0.176    0.4%
   66     36.91     0.149    0.4%
   67      37.7     0.094    0.2%
   68      34.6      1.61    4.6%
   69     37.43     0.146    0.3%
   70     37.63     0.187    0.4%
   71      36.8     1.328    3.6%
   72     35.62     1.615    4.5%
   73     38.75     0.169    0.4%
   74      38.8     0.108    0.2%
   75     39.18     0.141    0.3%
   76     38.92     0.113    0.2%
   77     39.24     0.128    0.3%
   78     35.99     1.595    4.4%
   79     35.33     0.184    0.5%
   80      39.7     0.122    0.3%
   81     39.88       0.1    0.2%
   82     40.12      0.15    0.3%
   83     40.49     0.085    0.2%
   84     39.98     0.203    0.5%
   85     35.98     0.109    0.3%
   86     40.09     0.093    0.2%
   87     41.34     0.115    0.2%
   88     37.39     2.012    5.3%
   89     35.99     0.094    0.2%
   90     40.83     0.151    0.3%
   91     41.08     0.116    0.2%
   92     39.46      2.31    5.8%
   93     37.46     0.177    0.4%
   94     37.71     0.098    0.2%
   95     37.16     0.127    0.3%
   96     37.37     0.125    0.3%
   97     38.08     0.108    0.2%
   98     38.81     1.878    4.8%
   99     39.33     1.854    4.7%

Quality and confidence:
param     error
r         0.001

Model:
Time ~=    21.42
    + r    0.204
              µs

Reads = 2 + (0 * r)
Writes = 2 + (0 * r)
Pallet: "pallet_democracy", Extrinsic: "remove_other_vote", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    21.24
    + r    0.227
              µs

Reads = 2 + (0 * r)
Writes = 2 + (0 * r)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    r   mean µs  sigma µs       %
    1     19.44     0.132    0.6%
    2     20.62     0.114    0.5%
    3     21.16     0.087    0.4%
    4     22.09     0.096    0.4%
    5     22.08     0.227    1.0%
    6     22.14     0.105    0.4%
    7     23.23     0.082    0.3%
    8     23.02     0.094    0.4%
    9     23.13     0.046    0.1%
   10      23.7      0.13    0.5%
   11     23.73     0.096    0.4%
   12     24.31      0.12    0.4%
   13     23.91     0.084    0.3%
   14     24.36     0.061    0.2%
   15     24.73     0.069    0.2%
   16     24.49     0.084    0.3%
   17      25.8     0.097    0.3%
   18     24.92     0.111    0.4%
   19     25.85     0.129    0.4%
   20     25.77     0.071    0.2%
   21     25.78     0.124    0.4%
   22     25.84     0.158    0.6%
   23     26.96     0.045    0.1%
   24     25.82     0.259    1.0%
   25     26.66     0.117    0.4%
   26     26.35     0.145    0.5%
   27     27.59     0.136    0.4%
   28     27.48     0.182    0.6%
   29     27.89     0.163    0.5%
   30     27.97     0.113    0.4%
   31     27.95     0.092    0.3%
   32     28.16     0.125    0.4%
   33     28.24     0.156    0.5%
   34     29.02     0.116    0.3%
   35     29.51     0.095    0.3%
   36     27.81     0.129    0.4%
   37     29.36     0.134    0.4%
   38     29.28     0.475    1.6%
   39     29.73     0.143    0.4%
   40      30.5     0.132    0.4%
   41     30.42       0.1    0.3%
   42      29.5     0.739    2.5%
   43     28.73      0.26    0.9%
   44     30.53     0.972    3.1%
   45     32.05     0.166    0.5%
   46     29.76     0.102    0.3%
   47     31.43     0.834    2.6%
   48     30.43     0.604    1.9%
   49     31.39     0.834    2.6%
   50     30.25     0.098    0.3%
   51     31.16     0.893    2.8%
   52     33.78      0.13    0.3%
   53     33.55      0.16    0.4%
   54     31.57     0.137    0.4%
   55     34.55     0.115    0.3%
   56     35.37      0.16    0.4%
   57     35.12     0.059    0.1%
   58     34.83     0.807    2.3%
   59     35.64     0.105    0.2%
   60     36.07     0.126    0.3%
   61      35.7     0.106    0.2%
   62     35.95     0.077    0.2%
   63     36.33     0.107    0.2%
   64     35.94     1.341    3.7%
   65     33.69       0.1    0.2%
   66     37.27     0.091    0.2%
   67     37.58      0.12    0.3%
   68     37.61     0.066    0.1%
   69     37.53     0.176    0.4%
   70     38.01      0.19    0.4%
   71     37.96     0.136    0.3%
   72     38.53     0.201    0.5%
   73     36.69      1.85    5.0%
   74     38.79     0.097    0.2%
   75     39.04     1.024    2.6%
   76     38.77     0.098    0.2%
   77     39.09     0.188    0.4%
   78     36.41     1.785    4.9%
   79     36.86     1.989    5.3%
   80     39.83     0.136    0.3%
   81     39.78     0.124    0.3%
   82     37.01     1.927    5.2%
   83     40.45     0.154    0.3%
   84     40.15      0.16    0.3%
   85      35.9     0.085    0.2%
   86      37.2     1.742    4.6%
   87      41.9     0.191    0.4%
   88     41.27     0.118    0.2%
   89     41.55     0.196    0.4%
   90      40.9     0.149    0.3%
   91     38.18     2.312    6.0%
   92     37.74      0.15    0.3%
   93     38.86     1.827    4.7%
   94     42.66     0.184    0.4%
   95     42.75     0.162    0.3%
   96     43.36     0.111    0.2%
   97     42.11     2.355    5.5%
   98     40.88     2.529    6.1%
   99     38.44     0.128    0.3%

Quality and confidence:
param     error
r         0.001

Model:
Time ~=    21.33
    + r    0.216
              µs

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

…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_democracy --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/democracy/src/weights.rs --template=./.maintain/frame-weight-template.hbs

shawntabrizi · 2021-08-06T23:50:17Z

/benchmark runtime pallet pallet_bounties

parity-benchapp · 2021-08-06T23:50:18Z

Benchmark Runtime Pallet for branch "shawntabrizi-weights-with-meta" with command cargo run --quiet --release --features=runtime-benchmarks --manifest-path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_bounties --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/bounties/src/weights.rs --template=./.maintain/frame-weight-template.hbs

Results

Pallet: "pallet_bounties", Extrinsic: "propose_bounty", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=     48.3
    + d    0.001
              µs

Reads = 2 + (0 * d)
Writes = 4 + (0 * d)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    d   mean µs  sigma µs       %
    0     46.52      0.19    0.4%
  327     48.31      0.19    0.3%
  654     48.78     0.416    0.8%
  981     49.26     0.192    0.3%
 1308     50.12     0.127    0.2%
 1635      50.6     0.136    0.2%
 1962     50.85     0.125    0.2%
 2289     51.26     0.249    0.4%
 2616     50.64     0.149    0.2%
 2943      52.1     0.235    0.4%
 3270     52.69     0.138    0.2%
 3597     51.95     0.152    0.2%
 3924     53.39     0.198    0.3%
 4251     53.98     0.117    0.2%
 4578     54.41     0.251    0.4%
 4905     54.48     0.456    0.8%
 5232     55.25     0.084    0.1%
 5559     55.61     0.117    0.2%
 5886     54.74     0.192    0.3%
 6213     56.36      0.21    0.3%
 6540     56.84     0.293    0.5%
 6867     57.31     0.204    0.3%
 7194     56.44     0.213    0.3%
 7521     57.78     0.152    0.2%
 7848     56.81     0.213    0.3%
 8175      58.8     0.236    0.4%
 8502      59.6     0.307    0.5%
 8829     58.28     0.167    0.2%
 9156     58.83     0.106    0.1%
 9483     60.73      0.09    0.1%
 9810     61.09     0.144    0.2%
10137     60.27     0.179    0.2%
10464     61.75     0.328    0.5%
10791     61.24     0.177    0.2%
11118     62.98     0.184    0.2%
11445      63.2     0.164    0.2%
11772     63.03     0.213    0.3%
12099     64.08     0.119    0.1%
12426     64.56     0.099    0.1%
12753     65.05     0.127    0.1%
13080     65.38     0.127    0.1%
13407     65.65     0.145    0.2%
13734     64.57     0.103    0.1%
14061     66.19     0.129    0.1%
14388     65.32     0.156    0.2%
14715     67.21     0.196    0.2%
15042     67.23     0.177    0.2%
15369     66.44     0.352    0.5%
15696     67.39     0.261    0.3%
16023     69.09     0.168    0.2%
16350     69.35     0.369    0.5%

Quality and confidence:
param     error
d             0

Model:
Time ~=    48.05
    + d    0.001
              µs

Reads = 2 + (0 * d)
Writes = 4 + (0 * d)
Pallet: "pallet_bounties", Extrinsic: "approve_bounty", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=     13.1
              µs

Reads = 2
Writes = 2
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=     13.1
              µs

Reads = 2
Writes = 2
Pallet: "pallet_bounties", Extrinsic: "propose_curator", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    10.27
              µs

Reads = 1
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    10.27
              µs

Reads = 1
Writes = 1
Pallet: "pallet_bounties", Extrinsic: "unassign_curator", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    43.01
              µs

Reads = 2
Writes = 2
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    43.01
              µs

Reads = 2
Writes = 2
Pallet: "pallet_bounties", Extrinsic: "accept_curator", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    39.29
              µs

Reads = 2
Writes = 2
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    39.29
              µs

Reads = 2
Writes = 2
Pallet: "pallet_bounties", Extrinsic: "award_bounty", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    27.07
              µs

Reads = 1
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    27.07
              µs

Reads = 1
Writes = 1
Pallet: "pallet_bounties", Extrinsic: "claim_bounty", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    132.3
              µs

Reads = 4
Writes = 5
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    132.3
              µs

Reads = 4
Writes = 5
Pallet: "pallet_bounties", Extrinsic: "close_bounty_proposed", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    43.31
              µs

Reads = 2
Writes = 3
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    43.31
              µs

Reads = 2
Writes = 3
Pallet: "pallet_bounties", Extrinsic: "close_bounty_active", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    88.01
              µs

Reads = 3
Writes = 4
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    88.01
              µs

Reads = 3
Writes = 4
Pallet: "pallet_bounties", Extrinsic: "extend_bounty_expiry", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    25.89
              µs

Reads = 1
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    25.89
              µs

Reads = 1
Writes = 1
Pallet: "pallet_bounties", Extrinsic: "spend_funds", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    0.589
    + b    61.35
              µs

Reads = 1 + (3 * b)
Writes = 1 + (3 * b)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    b   mean µs  sigma µs       %
    1     82.52     0.157    0.1%
    2     140.2     0.205    0.1%
    3     199.7     0.335    0.1%
    4     259.7     0.439    0.1%
    5     317.4     0.742    0.2%
    6     378.3     1.187    0.3%
    7     436.4     0.593    0.1%
    8     496.8     0.978    0.1%
    9     556.4     1.157    0.2%
   10     613.4     0.844    0.1%
   11     676.3     5.573    0.8%
   12     741.3     10.19    1.3%
   13     797.6     7.412    0.9%
   14     863.5       9.6    1.1%
   15     917.4     4.969    0.5%
   16     981.3     12.53    1.2%
   17      1039     8.046    0.7%
   18      1099     6.155    0.5%
   19      1161     9.399    0.8%
   20      1244     9.543    0.7%
   21      1281     5.237    0.4%
   22      1340     8.575    0.6%
   23      1410     14.87    1.0%
   24      1458     15.17    1.0%
   25      1522     14.49    0.9%
   26      1583     13.03    0.8%
   27      1635     13.86    0.8%
   28      1700     15.37    0.9%
   29      1774     16.25    0.9%
   30      1837     17.36    0.9%
   31      1876      14.5    0.7%
   32      1949     13.96    0.7%
   33      2004     8.867    0.4%
   34      2064     12.45    0.6%
   35      2135     13.53    0.6%
   36      2199     11.41    0.5%
   37      2259     16.26    0.7%
   38      2329        17    0.7%
   39      2403        10    0.4%
   40      2437     11.55    0.4%
   41      2488     8.188    0.3%
   42      2577     12.26    0.4%
   43      2621     17.12    0.6%
   44      2681     17.22    0.6%
   45      2750      17.4    0.6%
   46      2804     9.064    0.3%
   47      2871     15.96    0.5%
   48      2931      12.7    0.4%
   49      2995     6.366    0.2%
   50      3051     10.46    0.3%
   51      3120      9.44    0.3%
   52      3183     9.786    0.3%
   53      3259     16.45    0.5%
   54      3304     12.56    0.3%
   55      3361     17.42    0.5%
   56      3430     14.42    0.4%
   57      3477     8.247    0.2%
   58      3550     15.82    0.4%
   59      3619      9.61    0.2%
   60      3654     12.84    0.3%
   61      3774      28.2    0.7%
   62      3820     11.69    0.3%
   63      3857      7.98    0.2%
   64      3928     11.07    0.2%
   65      3969     11.92    0.3%
   66      4067     17.96    0.4%
   67      4148     15.65    0.3%
   68      4161     12.55    0.3%
   69      4226     5.041    0.1%
   70      4279     16.28    0.3%
   71      4334     6.821    0.1%
   72      4394     13.34    0.3%
   73      4464     17.07    0.3%
   74      4532      11.4    0.2%
   75      4621     9.742    0.2%
   76      4674     13.39    0.2%
   77      4732     15.14    0.3%
   78      4801     15.99    0.3%
   79      4860     13.28    0.2%
   80      4908     19.64    0.4%
   81      4976     15.48    0.3%
   82      4992      20.4    0.4%
   83      5114     16.13    0.3%
   84      5146     13.39    0.2%
   85      5254     20.13    0.3%
   86      5298     16.06    0.3%
   87      5345     22.41    0.4%
   88      5421     18.75    0.3%
   89      5465     26.03    0.4%
   90      5538     17.86    0.3%
   91      5628     16.02    0.2%
   92      5684     15.63    0.2%
   93      5705     12.53    0.2%
   94      5784     12.85    0.2%
   95      5856      10.5    0.1%
   96      5898     12.15    0.2%
   97      5936     16.06    0.2%
   98      6035     17.69    0.2%
   99      6082     20.45    0.3%
  100      6163     25.78    0.4%

Quality and confidence:
param     error
b         0.023

Model:
Time ~=        0
    + b    61.49
              µs

Reads = 1 + (3 * b)
Writes = 1 + (3 * b)

…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_bounties --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/bounties/src/weights.rs --template=./.maintain/frame-weight-template.hbs

shawntabrizi · 2021-08-06T23:56:11Z

/benchmark runtime pallet pallet_bounties

parity-benchapp · 2021-08-06T23:56:12Z

Benchmark Runtime Pallet for branch "shawntabrizi-weights-with-meta" with command cargo run --quiet --release --features=runtime-benchmarks --manifest-path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_bounties --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/bounties/src/weights.rs --template=./.maintain/frame-weight-template.hbs

Results

Pallet: "pallet_bounties", Extrinsic: "propose_bounty", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    48.79
    + d    0.001
              µs

Reads = 2 + (0 * d)
Writes = 4 + (0 * d)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    d   mean µs  sigma µs       %
    0     47.12     0.173    0.3%
  327     48.99     0.138    0.2%
  654     49.69     0.162    0.3%
  981     49.97     0.238    0.4%
 1308     50.79     0.189    0.3%
 1635     51.05     0.192    0.3%
 1962     51.64     0.131    0.2%
 2289     52.11     0.105    0.2%
 2616     52.34     0.249    0.4%
 2943     52.67     0.312    0.5%
 3270     53.25     0.157    0.2%
 3597     53.71     0.115    0.2%
 3924     53.95     0.114    0.2%
 4251     54.69     0.147    0.2%
 4578     54.86     0.181    0.3%
 4905     55.53      0.21    0.3%
 5232     55.73     0.129    0.2%
 5559     56.16     0.105    0.1%
 5886     55.21       0.1    0.1%
 6213     57.19     0.104    0.1%
 6540     57.55     0.216    0.3%
 6867     56.81     0.221    0.3%
 7194     58.62     0.245    0.4%
 7521     58.95      0.15    0.2%
 7848     59.51     0.195    0.3%
 8175     59.81     0.098    0.1%
 8502     60.36     0.155    0.2%
 8829     60.64     0.127    0.2%
 9156     59.77     0.156    0.2%
 9483     61.26     0.668    1.0%
 9810     62.19     0.129    0.2%
10137      62.1     0.243    0.3%
10464     62.66     0.129    0.2%
10791      63.2     0.122    0.1%
11118     63.53     0.149    0.2%
11445      64.3     0.112    0.1%
11772     64.47     0.116    0.1%
12099      65.1     0.069    0.1%
12426      65.4     0.195    0.2%
12753     65.88     0.358    0.5%
13080     66.08     0.184    0.2%
13407      66.5     0.201    0.3%
13734     66.97     0.105    0.1%
14061     67.54     0.133    0.1%
14388     67.67     0.265    0.3%
14715     68.45     0.153    0.2%
15042     69.01     0.193    0.2%
15369     69.35     0.191    0.2%
15696     69.62     0.149    0.2%
16023     69.99     0.252    0.3%
16350     71.04     0.134    0.1%

Quality and confidence:
param     error
d             0

Model:
Time ~=    48.64
    + d    0.001
              µs

Reads = 2 + (0 * d)
Writes = 4 + (0 * d)
Pallet: "pallet_bounties", Extrinsic: "approve_bounty", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=       13
              µs

Reads = 2
Writes = 2
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=       13
              µs

Reads = 2
Writes = 2
Pallet: "pallet_bounties", Extrinsic: "propose_curator", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    10.35
              µs

Reads = 1
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    10.35
              µs

Reads = 1
Writes = 1
Pallet: "pallet_bounties", Extrinsic: "unassign_curator", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    43.59
              µs

Reads = 2
Writes = 2
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    43.59
              µs

Reads = 2
Writes = 2
Pallet: "pallet_bounties", Extrinsic: "accept_curator", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    40.61
              µs

Reads = 2
Writes = 2
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    40.61
              µs

Reads = 2
Writes = 2
Pallet: "pallet_bounties", Extrinsic: "award_bounty", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=     27.3
              µs

Reads = 1
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=     27.3
              µs

Reads = 1
Writes = 1
Pallet: "pallet_bounties", Extrinsic: "claim_bounty", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    136.6
              µs

Reads = 4
Writes = 5
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    136.6
              µs

Reads = 4
Writes = 5
Pallet: "pallet_bounties", Extrinsic: "close_bounty_proposed", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    43.88
              µs

Reads = 2
Writes = 3
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    43.88
              µs

Reads = 2
Writes = 3
Pallet: "pallet_bounties", Extrinsic: "close_bounty_active", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    89.86
              µs

Reads = 3
Writes = 4
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    89.86
              µs

Reads = 3
Writes = 4
Pallet: "pallet_bounties", Extrinsic: "extend_bounty_expiry", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    26.63
              µs

Reads = 1
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    26.63
              µs

Reads = 1
Writes = 1
Pallet: "pallet_bounties", Extrinsic: "spend_funds", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    9.083
    + b    61.82
              µs

Reads = 1 + (3 * b)
Writes = 1 + (3 * b)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    b   mean µs  sigma µs       %
    1      82.4     0.785    0.9%
    2     142.4      0.21    0.1%
    3     204.1     0.223    0.1%
    4     263.5     0.372    0.1%
    5     322.8      0.29    0.0%
    6     383.7     0.721    0.1%
    7     443.5      0.72    0.1%
    8     503.8     0.846    0.1%
    9     566.3     4.063    0.7%
   10     641.4      13.1    2.0%
   11     688.6     8.332    1.2%
   12     751.4     10.45    1.3%
   13     807.4     4.598    0.5%
   14     871.9     8.104    0.9%
   15     930.8     8.233    0.8%
   16     990.3     8.573    0.8%
   17      1054     8.444    0.8%
   18      1114     9.877    0.8%
   19      1174     8.606    0.7%
   20      1250     13.15    1.0%
   21      1314     11.55    0.8%
   22      1366     15.44    1.1%
   23      1422     14.61    1.0%
   24      1484     14.28    0.9%
   25      1543     13.82    0.8%
   26      1609     12.49    0.7%
   27      1666     10.92    0.6%
   28      1719     11.44    0.6%
   29      1785     13.13    0.7%
   30      1851     15.05    0.8%
   31      1917     15.99    0.8%
   32      1976     14.63    0.7%
   33      2040     16.45    0.8%
   34      2093     15.19    0.7%
   35      2158     14.36    0.6%
   36      2222     9.536    0.4%
   37      2309     21.31    0.9%
   38      2347     16.39    0.6%
   39      2440      8.19    0.3%
   40      2473     12.14    0.4%
   41      2544     11.53    0.4%
   42      2605     10.39    0.3%
   43      2661     11.16    0.4%
   44      2710     13.35    0.4%
   45      2783     15.68    0.5%
   46      2843     10.17    0.3%
   47      2905     11.65    0.4%
   48      2970     9.796    0.3%
   49      3039     12.57    0.4%
   50      3095     8.095    0.2%
   51      3144     10.26    0.3%
   52      3222      8.29    0.2%
   53      3271     8.337    0.2%
   54      3323     11.47    0.3%
   55      3391     8.551    0.2%
   56      3471     9.641    0.2%
   57      3529     8.527    0.2%
   58      3595     13.24    0.3%
   59      3654     13.52    0.3%
   60      3715     15.44    0.4%
   61      3766     10.63    0.2%
   62      3833     13.11    0.3%
   63      3898     16.73    0.4%
   64      3959     10.33    0.2%
   65      4016     9.355    0.2%
   66      4071     13.15    0.3%
   67      4144     18.41    0.4%
   68      4171     19.62    0.4%
   69      4323     6.204    0.1%
   70      4336     11.83    0.2%
   71      4391     9.335    0.2%
   72      4425     12.52    0.2%
   73      4535     17.63    0.3%
   74      4584     12.19    0.2%
   75      4649      8.24    0.1%
   76      4696     14.53    0.3%
   77      4758     16.28    0.3%
   78      4905     9.406    0.1%
   79      4893     14.77    0.3%
   80      4951     13.59    0.2%
   81      5022     19.63    0.3%
   82      5060     12.65    0.2%
   83      5147     7.939    0.1%
   84      5217     11.71    0.2%
   85      5279     15.25    0.2%
   86      5326      40.5    0.7%
   87      5391     15.54    0.2%
   88      5455     14.69    0.2%
   89      5537     14.91    0.2%
   90      5587     12.69    0.2%
   91      5653     12.68    0.2%
   92      5734     13.16    0.2%
   93      5763     13.59    0.2%
   94      5836     21.96    0.3%
   95      5893     8.869    0.1%
   96      5932     21.94    0.3%
   97      6014     20.22    0.3%
   98      6081     8.681    0.1%
   99      6121     16.03    0.2%
  100      6214     10.38    0.1%

Quality and confidence:
param     error
b         0.021

Model:
Time ~=    2.144
    + b    61.93
              µs

Reads = 1 + (3 * b)
Writes = 1 + (3 * b)

…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_bounties --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/bounties/src/weights.rs --template=./.maintain/frame-weight-template.hbs

shawntabrizi · 2021-08-07T00:02:48Z

/benchmark runtime pallet pallet_election_provider_multi_phase

parity-benchapp · 2021-08-07T00:02:49Z

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

Results

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

Model:
Time ~=    25.45
              µs

Reads = 8
Writes = 0
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    25.45
              µs

Reads = 8
Writes = 0
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "on_initialize_open_signed", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    107.3
              µs

Reads = 10
Writes = 4
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    107.3
              µs

Reads = 10
Writes = 4
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "on_initialize_open_unsigned_with_snapshot", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    106.1
              µs

Reads = 10
Writes = 4
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    106.1
              µs

Reads = 10
Writes = 4
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "on_initialize_open_unsigned_without_snapshot", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    20.92
              µs

Reads = 1
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    20.92
              µs

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

Model:
Time ~=    51.96
              µs

Reads = 1
Writes = 2
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    51.96
              µs

Reads = 1
Writes = 2
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "finalize_signed_phase_reject_solution", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    34.55
              µs

Reads = 1
Writes = 1
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    34.55
              µs

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

Model:
Time ~=        0
    + v    0.026
    + t    0.078
    + a    1.711
    + d    0.498
              µs

Reads = 6 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Writes = 8 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    v     t     a     d   mean µs  sigma µs       %
 5000  2000  4000   800      7047     26.46    0.3%
 5100  2000  4000   800      7143     17.54    0.2%
 5200  2000  4000   800      7143     17.05    0.2%
 5300  2000  4000   800      7157     15.42    0.2%
 5400  2000  4000   800      7143      16.4    0.2%
 5500  2000  4000   800      7147      14.1    0.1%
 5600  2000  4000   800      7158     20.14    0.2%
 5700  2000  4000   800      7151     16.84    0.2%
 5800  2000  4000   800      7160      12.2    0.1%
 5900  2000  4000   800      7129     8.021    0.1%
 6000  2000  4000   800      7163     15.47    0.2%
 6100  2000  4000   800      7166     23.66    0.3%
 6200  2000  4000   800      7179     26.71    0.3%
 6300  2000  4000   800      7173     15.92    0.2%
 6400  2000  4000   800      7160     15.11    0.2%
 6500  2000  4000   800      7138     11.94    0.1%
 6600  2000  4000   800      7154     14.54    0.2%
 6700  2000  4000   800      7211     23.04    0.3%
 6800  2000  4000   800      7192     40.67    0.5%
 6900  2000  4000   800      7196     28.96    0.4%
 7000  2000  4000   800      7245     31.69    0.4%
 7100  2000  4000   800      7210     18.71    0.2%
 7200  2000  4000   800      7188     23.11    0.3%
 7300  2000  4000   800      7221     22.53    0.3%
 7400  2000  4000   800      7196     38.89    0.5%
 7500  2000  4000   800      7190     59.36    0.8%
 7600  2000  4000   800      7218     34.82    0.4%
 7700  2000  4000   800      7223     32.33    0.4%
 7800  2000  4000   800      7228     25.33    0.3%
 7900  2000  4000   800      7163     23.63    0.3%
 8000  2000  4000   800      7222     16.91    0.2%
 8100  2000  4000   800      7189     31.09    0.4%
 8200  2000  4000   800      7221     39.52    0.5%
 8300  2000  4000   800      7197     16.54    0.2%
 8400  2000  4000   800      7253     26.11    0.3%
 8500  2000  4000   800      7194     18.36    0.2%
 8600  2000  4000   800      7161     5.177    0.0%
 8700  2000  4000   800      7186     22.68    0.3%
 8800  2000  4000   800      7165     10.28    0.1%
 8900  2000  4000   800      7196     27.56    0.3%
 9000  2000  4000   800      7232     35.04    0.4%
 9100  2000  4000   800      7202     39.95    0.5%
 9200  2000  4000   800      7203     34.58    0.4%
 9300  2000  4000   800      7219     32.15    0.4%
 9400  2000  4000   800      7225     27.54    0.3%
 9500  2000  4000   800      7194     24.79    0.3%
 9600  2000  4000   800      7247     22.48    0.3%
 9700  2000  4000   800      7263     48.33    0.6%
 9800  2000  4000   800      7183     38.68    0.5%
 9900  2000  4000   800      7161     32.78    0.4%
10000  1000  4000   800      7290     26.26    0.3%
10000  1020  4000   800      7255     27.34    0.3%
10000  1040  4000   800      7302     23.39    0.3%
10000  1060  4000   800      7298     17.68    0.2%
10000  1080  4000   800      7278     14.59    0.2%
10000  1100  4000   800      7294     21.16    0.2%
10000  1120  4000   800      7293     18.96    0.2%
10000  1140  4000   800      7288     18.76    0.2%
10000  1160  4000   800      7301     17.85    0.2%
10000  1180  4000   800      7309     16.59    0.2%
10000  1200  4000   800      7302     12.57    0.1%
10000  1220  4000   800      7292     13.87    0.1%
10000  1240  4000   800      7278     11.64    0.1%
10000  1260  4000   800      7300     11.57    0.1%
10000  1280  4000   800      7296     11.32    0.1%
10000  1300  4000   800      7320     23.15    0.3%
10000  1320  4000   800      7341     39.73    0.5%
10000  1340  4000   800      7325     25.62    0.3%
10000  1360  4000   800      7245     37.81    0.5%
10000  1380  4000   800      7285     44.81    0.6%
10000  1400  4000   800      7311     23.71    0.3%
10000  1420  4000   800      7281     21.02    0.2%
10000  1440  4000   800      7297     20.35    0.2%
10000  1460  4000   800      7275     23.04    0.3%
10000  1480  4000   800      7311     27.82    0.3%
10000  1500  4000   800      7292     22.71    0.3%
10000  1520  4000   800      7323     18.88    0.2%
10000  1540  4000   800      7301     32.25    0.4%
10000  1560  4000   800      7266     31.56    0.4%
10000  1580  4000   800      7286     31.31    0.4%
10000  1600  4000   800      7273     16.79    0.2%
10000  1620  4000   800      7310     17.94    0.2%
10000  1640  4000   800      7279     31.56    0.4%
10000  1660  4000   800      7292     22.93    0.3%
10000  1680  4000   800      7273     40.96    0.5%
10000  1700  4000   800      7345     21.46    0.2%
10000  1720  4000   800      7293     30.38    0.4%
10000  1740  4000   800      7329     20.54    0.2%
10000  1760  4000   800      7329     16.24    0.2%
10000  1780  4000   800      7317     53.38    0.7%
10000  1800  4000   800      7326     19.99    0.2%
10000  1820  4000   800      7343     21.41    0.2%
10000  1840  4000   800      7313     38.27    0.5%
10000  1860  4000   800      7383     38.34    0.5%
10000  1880  4000   800      7333      25.3    0.3%
10000  1900  4000   800      7365     23.59    0.3%
10000  1920  4000   800      7213     28.13    0.3%
10000  1940  4000   800      7368     30.61    0.4%
10000  1960  4000   800      7426     36.54    0.4%
10000  1980  4000   800      7390     14.84    0.2%
10000  2000  1000   800      2284     9.923    0.4%
10000  2000  1060   800      2397     16.47    0.6%
10000  2000  1120   800      2480      11.3    0.4%
10000  2000  1180   800      2592     8.415    0.3%
10000  2000  1240   800      2717     14.49    0.5%
10000  2000  1300   800      2796     16.75    0.5%
10000  2000  1360   800      2904     8.786    0.3%
10000  2000  1420   800      2984     13.98    0.4%
10000  2000  1480   800      3057     15.11    0.4%
10000  2000  1540   800      3175     8.566    0.2%
10000  2000  1600   800      3250     10.81    0.3%
10000  2000  1660   800      3451      31.9    0.9%
10000  2000  1720   800      3474     9.759    0.2%
10000  2000  1780   800      3602     15.86    0.4%
10000  2000  1840   800      3697     11.89    0.3%
10000  2000  1900   800      3863     10.64    0.2%
10000  2000  1960   800      3973     20.26    0.5%
10000  2000  2020   800      4061     6.925    0.1%
10000  2000  2080   800      4211     24.88    0.5%
10000  2000  2140   800      4331     19.18    0.4%
10000  2000  2200   800      4342     45.93    1.0%
10000  2000  2260   800      4513     26.96    0.5%
10000  2000  2320   800      4611     20.85    0.4%
10000  2000  2380   800      4628      16.7    0.3%
10000  2000  2440   800      4704     20.43    0.4%
10000  2000  2500   800      4897     9.687    0.1%
10000  2000  2560   800      4897     19.09    0.3%
10000  2000  2620   800      5024     8.954    0.1%
10000  2000  2680   800      5264     27.86    0.5%
10000  2000  2740   800      5212     25.43    0.4%
10000  2000  2800   800      5397     13.68    0.2%
10000  2000  2860   800      5407     11.84    0.2%
10000  2000  2920   800      5524     15.85    0.2%
10000  2000  2980   800      5639     17.77    0.3%
10000  2000  3040   800      5795     15.32    0.2%
10000  2000  3100   800      5893      15.7    0.2%
10000  2000  3160   800      5968     9.739    0.1%
10000  2000  3220   800      6012      16.6    0.2%
10000  2000  3280   800      6251     55.54    0.8%
10000  2000  3340   800      6227     25.29    0.4%
10000  2000  3400   800      6385     34.93    0.5%
10000  2000  3460   800      6467     24.43    0.3%
10000  2000  3520   800      6566     21.99    0.3%
10000  2000  3580   800      6771     44.33    0.6%
10000  2000  3640   800      6796     43.28    0.6%
10000  2000  3700   800      6894     35.22    0.5%
10000  2000  3760   800      7087     49.61    0.7%
10000  2000  3820   800      7103     16.44    0.2%
10000  2000  3880   800      7296     28.23    0.3%
10000  2000  3940   800      7356     49.98    0.6%
10000  2000  4000   400      7278     37.15    0.5%
10000  2000  4000   408      7299     38.44    0.5%
10000  2000  4000   416      7341     50.57    0.6%
10000  2000  4000   424      7274     37.32    0.5%
10000  2000  4000   432      7227     65.16    0.9%
10000  2000  4000   440      7247     13.65    0.1%
10000  2000  4000   448      7277      33.5    0.4%
10000  2000  4000   456      7263      34.9    0.4%
10000  2000  4000   464      7313     59.74    0.8%
10000  2000  4000   472      7281     48.96    0.6%
10000  2000  4000   480      7388     13.78    0.1%
10000  2000  4000   488      7333     33.17    0.4%
10000  2000  4000   496      7327      22.2    0.3%
10000  2000  4000   504      7303     20.62    0.2%
10000  2000  4000   512      7375     16.82    0.2%
10000  2000  4000   520      7312      26.9    0.3%
10000  2000  4000   528      7394     27.17    0.3%
10000  2000  4000   536      7440     30.32    0.4%
10000  2000  4000   544      7372     56.26    0.7%
10000  2000  4000   552      7325     24.21    0.3%
10000  2000  4000   560      7356     18.73    0.2%
10000  2000  4000   568      7342     15.15    0.2%
10000  2000  4000   576      7353     7.711    0.1%
10000  2000  4000   584      7305     18.32    0.2%
10000  2000  4000   592      7393     51.16    0.6%
10000  2000  4000   600      7367     31.52    0.4%
10000  2000  4000   608      7452     41.26    0.5%
10000  2000  4000   616      7357     9.344    0.1%
10000  2000  4000   624      7377     16.35    0.2%
10000  2000  4000   632      7388     33.85    0.4%
10000  2000  4000   640      7406      16.2    0.2%
10000  2000  4000   648      7390     47.34    0.6%
10000  2000  4000   656      7504     55.57    0.7%
10000  2000  4000   664      7462     29.03    0.3%
10000  2000  4000   672      7556     22.46    0.2%
10000  2000  4000   680      7463      35.7    0.4%
10000  2000  4000   688      7509      47.8    0.6%
10000  2000  4000   696      7434     15.52    0.2%
10000  2000  4000   704      7445     29.16    0.3%
10000  2000  4000   712      7448      27.6    0.3%
10000  2000  4000   720      7438     42.35    0.5%
10000  2000  4000   728      7397     22.54    0.3%
10000  2000  4000   736      7450     37.94    0.5%
10000  2000  4000   744      7499     21.88    0.2%
10000  2000  4000   752      7485     61.78    0.8%
10000  2000  4000   760      7439     62.17    0.8%
10000  2000  4000   768      7470     42.41    0.5%
10000  2000  4000   776      7494     48.56    0.6%
10000  2000  4000   784      7451     48.46    0.6%
10000  2000  4000   792      7479     18.21    0.2%
10000  2000  4000   800      7406     34.69    0.4%

Quality and confidence:
param     error
v         0.001
t         0.006
a         0.002
d         0.017

Model:
Time ~=        0
    + v    0.061
    + t    0.119
    + a     1.69
    + d    0.108
              µs

Reads = 6 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Writes = 8 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "submit", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    77.27
    + c    0.332
              µs

Reads = 5 + (0 * c)
Writes = 3 + (0 * c)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    c   mean µs  sigma µs       %
    1     86.78     3.043    3.5%
    2     76.93      0.15    0.1%
    3     78.23     0.137    0.1%
    4     78.46     0.207    0.2%
    5     79.21     0.192    0.2%
    6     79.28     0.191    0.2%
    7     79.59     0.181    0.2%
    8     80.07     0.275    0.3%
    9     80.11     0.187    0.2%

Quality and confidence:
param     error
c         0.113

Model:
Time ~=       81
    + c        0
              µs

Reads = 5 + (0 * c)
Writes = 3 + (0 * c)
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "submit_unsigned", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=        0
    + v    3.602
    + t    0.052
    + a    11.33
    + d    5.275
              µs

Reads = 7 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Writes = 1 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    v     t     a     d   mean µs  sigma µs       %
 5000  2000  4000   800     61340     68.77    0.1%
 5100  2000  4000   800     61640     54.38    0.0%
 5200  2000  4000   800     62180     144.4    0.2%
 5300  2000  4000   800     62570     86.33    0.1%
 5400  2000  4000   800     62820     83.65    0.1%
 5500  2000  4000   800     63140     33.58    0.0%
 5600  2000  4000   800     63470     53.78    0.0%
 5700  2000  4000   800     63980     75.28    0.1%
 5800  2000  4000   800     64190     64.07    0.0%
 5900  2000  4000   800     64530     37.33    0.0%
 6000  2000  4000   800     64940     66.23    0.1%
 6100  2000  4000   800     65360     34.27    0.0%
 6200  2000  4000   800     65530     60.01    0.0%
 6300  2000  4000   800     66050     63.56    0.0%
 6400  2000  4000   800     66430     43.73    0.0%
 6500  2000  4000   800     66900     39.05    0.0%
 6600  2000  4000   800     66990     30.01    0.0%
 6700  2000  4000   800     67420      59.7    0.0%
 6800  2000  4000   800     67790     79.72    0.1%
 6900  2000  4000   800     68280     20.47    0.0%
 7000  2000  4000   800     68500     84.63    0.1%
 7100  2000  4000   800     68840     77.21    0.1%
 7200  2000  4000   800     69210      77.9    0.1%
 7300  2000  4000   800     69640      94.5    0.1%
 7400  2000  4000   800     69810     61.35    0.0%
 7500  2000  4000   800     70220     89.07    0.1%
 7600  2000  4000   800     70620      77.8    0.1%
 7700  2000  4000   800     71070     60.29    0.0%
 7800  2000  4000   800     71490     68.38    0.0%
 7900  2000  4000   800     71750     66.95    0.0%
 8000  2000  4000   800     72130     74.33    0.1%
 8100  2000  4000   800     72550     42.07    0.0%
 8200  2000  4000   800     72830     77.45    0.1%
 8300  2000  4000   800     73150     48.32    0.0%
 8400  2000  4000   800     73720     70.81    0.0%
 8500  2000  4000   800     74090     24.29    0.0%
 8600  2000  4000   800     74320     64.51    0.0%
 8700  2000  4000   800     74530     54.59    0.0%
 8800  2000  4000   800     75060      49.3    0.0%
 8900  2000  4000   800     75440     69.22    0.0%
 9000  2000  4000   800     75740     62.04    0.0%
 9100  2000  4000   800     76160     110.9    0.1%
 9200  2000  4000   800     76700     40.01    0.0%
 9300  2000  4000   800     76970     55.41    0.0%
 9400  2000  4000   800     77240     53.63    0.0%
 9500  2000  4000   800     77650     55.71    0.0%
 9600  2000  4000   800     77830     42.91    0.0%
 9700  2000  4000   800     78210     42.53    0.0%
 9800  2000  4000   800     78550     81.44    0.1%
 9900  2000  4000   800     78890     47.81    0.0%
10000  1000  4000   800     79380      66.9    0.0%
10000  1020  4000   800     79390     70.85    0.0%
10000  1040  4000   800     79390     49.64    0.0%
10000  1060  4000   800     79490     80.66    0.1%
10000  1080  4000   800     79430     44.13    0.0%
10000  1100  4000   800     79370     64.66    0.0%
10000  1120  4000   800     79410     46.29    0.0%
10000  1140  4000   800     79370     57.36    0.0%
10000  1160  4000   800     79330      82.9    0.1%
10000  1180  4000   800     79290     93.27    0.1%
10000  1200  4000   800     79350     23.03    0.0%
10000  1220  4000   800     79400     83.88    0.1%
10000  1240  4000   800     79400      60.5    0.0%
10000  1260  4000   800     79330     35.34    0.0%
10000  1280  4000   800     79310     43.46    0.0%
10000  1300  4000   800     79300     74.77    0.0%
10000  1320  4000   800     79360     55.83    0.0%
10000  1340  4000   800     79280     58.79    0.0%
10000  1360  4000   800     79590     116.4    0.1%
10000  1380  4000   800     79370     51.84    0.0%
10000  1400  4000   800     79300     89.15    0.1%
10000  1420  4000   800     79460     90.96    0.1%
10000  1440  4000   800     79200     98.96    0.1%
10000  1460  4000   800     79460     108.5    0.1%
10000  1480  4000   800     79410     68.23    0.0%
10000  1500  4000   800     79300     53.35    0.0%
10000  1520  4000   800     79250     45.84    0.0%
10000  1540  4000   800     79200     40.75    0.0%
10000  1560  4000   800     79300     88.55    0.1%
10000  1580  4000   800     79410     81.37    0.1%
10000  1600  4000   800     79520     39.85    0.0%
10000  1620  4000   800     79320     65.04    0.0%
10000  1640  4000   800     79260     68.58    0.0%
10000  1660  4000   800     79470     70.86    0.0%
10000  1680  4000   800     79560     87.77    0.1%
10000  1700  4000   800     79400     41.15    0.0%
10000  1720  4000   800     79450     42.21    0.0%
10000  1740  4000   800     79160     42.11    0.0%
10000  1760  4000   800     79280     56.05    0.0%
10000  1780  4000   800     79480     87.39    0.1%
10000  1800  4000   800     79270     72.46    0.0%
10000  1820  4000   800     79280     51.85    0.0%
10000  1840  4000   800     79640     56.74    0.0%
10000  1860  4000   800     79480     58.95    0.0%
10000  1880  4000   800     79380     73.25    0.0%
10000  1900  4000   800     79250     48.18    0.0%
10000  1920  4000   800     79500     55.88    0.0%
10000  1940  4000   800     79490     22.01    0.0%
10000  1960  4000   800     79410     31.75    0.0%
10000  1980  4000   800     79510     43.42    0.0%
10000  2000  1000   800     45570     36.85    0.0%
10000  2000  1060   800     46290     38.25    0.0%
10000  2000  1120   800     46830     28.76    0.0%
10000  2000  1180   800     47470     37.52    0.0%
10000  2000  1240   800     48140     57.85    0.1%
10000  2000  1300   800     48690     30.57    0.0%
10000  2000  1360   800     49340     51.76    0.1%
10000  2000  1420   800     50490     30.67    0.0%
10000  2000  1480   800     51220     49.08    0.0%
10000  2000  1540   800     52010     57.14    0.1%
10000  2000  1600   800     52660     61.26    0.1%
10000  2000  1660   800     53330      48.7    0.0%
10000  2000  1720   800     53960      50.5    0.0%
10000  2000  1780   800     54620     53.02    0.0%
10000  2000  1840   800     55200     50.16    0.0%
10000  2000  1900   800     56020     64.26    0.1%
10000  2000  1960   800     56640      60.6    0.1%
10000  2000  2020   800     57230     52.97    0.0%
10000  2000  2080   800     57890     30.84    0.0%
10000  2000  2140   800     58480     42.07    0.0%
10000  2000  2200   800     59140     48.15    0.0%
10000  2000  2260   800     59710     43.42    0.0%
10000  2000  2320   800     60320     48.43    0.0%
10000  2000  2380   800     60840      37.8    0.0%
10000  2000  2440   800     61520     57.56    0.0%
10000  2000  2500   800     62030      38.2    0.0%
10000  2000  2560   800     62710     49.05    0.0%
10000  2000  2620   800     63320      46.7    0.0%
10000  2000  2680   800     64000     32.41    0.0%
10000  2000  2740   800     64650     39.91    0.0%
10000  2000  2800   800     65170     76.41    0.1%
10000  2000  2860   800     66780     58.88    0.0%
10000  2000  2920   800     67360     16.56    0.0%
10000  2000  2980   800     68140     65.99    0.0%
10000  2000  3040   800     68850      33.4    0.0%
10000  2000  3100   800     69550      52.8    0.0%
10000  2000  3160   800     70250     74.93    0.1%
10000  2000  3220   800     70980     46.38    0.0%
10000  2000  3280   800     71780     66.22    0.0%
10000  2000  3340   800     72320     54.28    0.0%
10000  2000  3400   800     73080     58.93    0.0%
10000  2000  3460   800     73710     53.12    0.0%
10000  2000  3520   800     74320     57.58    0.0%
10000  2000  3580   800     75070     44.64    0.0%
10000  2000  3640   800     75680     22.56    0.0%
10000  2000  3700   800     76410     44.73    0.0%
10000  2000  3760   800     77050     58.18    0.0%
10000  2000  3820   800     77660     64.04    0.0%
10000  2000  3880   800     78200     68.98    0.0%
10000  2000  3940   800     78810      84.5    0.1%
10000  2000  4000   400     77200     50.26    0.0%
10000  2000  4000   408     77300     84.25    0.1%
10000  2000  4000   416     77340     41.74    0.0%
10000  2000  4000   424     77510     37.38    0.0%
10000  2000  4000   432     77710     35.67    0.0%
10000  2000  4000   440     77670      40.3    0.0%
10000  2000  4000   448     77710      45.9    0.0%
10000  2000  4000   456     77740     45.45    0.0%
10000  2000  4000   464     77770     48.85    0.0%
10000  2000  4000   472     77760     83.06    0.1%
10000  2000  4000   480     77930     46.08    0.0%
10000  2000  4000   488     77680     38.79    0.0%
10000  2000  4000   496     77780     39.05    0.0%
10000  2000  4000   504     77700     60.12    0.0%
10000  2000  4000   512     77510     45.61    0.0%
10000  2000  4000   520     77690     79.58    0.1%
10000  2000  4000   528     77550     44.17    0.0%
10000  2000  4000   536     77620     50.14    0.0%
10000  2000  4000   544     77580     63.73    0.0%
10000  2000  4000   552     77560     98.83    0.1%
10000  2000  4000   560     77630     60.84    0.0%
10000  2000  4000   568     77490     46.35    0.0%
10000  2000  4000   576     77520     63.44    0.0%
10000  2000  4000   584     77660     36.96    0.0%
10000  2000  4000   592     77800     98.85    0.1%
10000  2000  4000   600     77810     78.54    0.1%
10000  2000  4000   608     77940     49.62    0.0%
10000  2000  4000   616     77920     34.81    0.0%
10000  2000  4000   624     77960     50.84    0.0%
10000  2000  4000   632     78120     82.18    0.1%
10000  2000  4000   640     78150     67.17    0.0%
10000  2000  4000   648     78140     55.34    0.0%
10000  2000  4000   656     78380     50.42    0.0%
10000  2000  4000   664     78320     49.58    0.0%
10000  2000  4000   672     78470     41.02    0.0%
10000  2000  4000   680     78400      38.8    0.0%
10000  2000  4000   688     78610     58.52    0.0%
10000  2000  4000   696     78560     82.96    0.1%
10000  2000  4000   704     78650     45.47    0.0%
10000  2000  4000   712     78610     68.71    0.0%
10000  2000  4000   720     78930     70.96    0.0%
10000  2000  4000   728     78860     55.47    0.0%
10000  2000  4000   736     78980     59.62    0.0%
10000  2000  4000   744     78950     54.92    0.0%
10000  2000  4000   752     79470     38.74    0.0%
10000  2000  4000   760     79150     42.96    0.0%
10000  2000  4000   768     79200     121.3    0.1%
10000  2000  4000   776     79320     49.16    0.0%
10000  2000  4000   784     79270     57.61    0.0%
10000  2000  4000   792     79350     62.61    0.0%
10000  2000  4000   800     79390      75.3    0.0%

Quality and confidence:
param     error
v         0.004
t         0.023
a         0.007
d         0.057

Model:
Time ~=        0
    + v    3.609
    + t    0.011
    + a    11.24
    + d    5.874
              µs

Reads = 7 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Writes = 1 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Pallet: "pallet_election_provider_multi_phase", Extrinsic: "feasibility_check", Lowest values: [], Highest values: [], Steps: 50, Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=        0
    + v    3.563
    + t    0.232
    + a     9.51
    + d    4.366
              µs

Reads = 4 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Writes = 0 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    v     t     a     d   mean µs  sigma µs       %
 5000  2000  4000   800     54090     48.74    0.0%
 5100  2000  4000   800     54430      47.7    0.0%
 5200  2000  4000   800     54860     40.17    0.0%
 5300  2000  4000   800     55400     38.44    0.0%
 5400  2000  4000   800     55510     66.03    0.1%
 5500  2000  4000   800     55930      32.4    0.0%
 5600  2000  4000   800     56380     57.98    0.1%
 5700  2000  4000   800     56740     63.67    0.1%
 5800  2000  4000   800     56940     84.91    0.1%
 5900  2000  4000   800     57220     45.84    0.0%
 6000  2000  4000   800     57920     51.62    0.0%
 6100  2000  4000   800     58180     40.48    0.0%
 6200  2000  4000   800     58420     54.13    0.0%
 6300  2000  4000   800     58720     46.15    0.0%
 6400  2000  4000   800     59190     44.46    0.0%
 6500  2000  4000   800     59490     35.91    0.0%
 6600  2000  4000   800     59900     42.77    0.0%
 6700  2000  4000   800     60200     56.38    0.0%
 6800  2000  4000   800     60330     65.14    0.1%
 6900  2000  4000   800     60720     56.79    0.0%
 7000  2000  4000   800     61050     76.82    0.1%
 7100  2000  4000   800     61440     78.95    0.1%
 7200  2000  4000   800     61920     83.05    0.1%
 7300  2000  4000   800     62200     74.03    0.1%
 7400  2000  4000   800     62730     91.95    0.1%
 7500  2000  4000   800     63170     102.3    0.1%
 7600  2000  4000   800     63240     56.92    0.0%
 7700  2000  4000   800     63620     57.91    0.0%
 7800  2000  4000   800     64080     153.6    0.2%
 7900  2000  4000   800     64380     77.88    0.1%
 8000  2000  4000   800     64860     58.48    0.0%
 8100  2000  4000   800     65030     57.08    0.0%
 8200  2000  4000   800     65420     52.85    0.0%
 8300  2000  4000   800     65730     55.15    0.0%
 8400  2000  4000   800     66150     60.79    0.0%
 8500  2000  4000   800     66500      52.1    0.0%
 8600  2000  4000   800     66990     56.35    0.0%
 8700  2000  4000   800     67370     45.32    0.0%
 8800  2000  4000   800     67640     30.38    0.0%
 8900  2000  4000   800     67960     42.87    0.0%
 9000  2000  4000   800     68300      50.3    0.0%
 9100  2000  4000   800     68730     86.62    0.1%
 9200  2000  4000   800     69080     36.15    0.0%
 9300  2000  4000   800     69630     65.23    0.0%
 9400  2000  4000   800     69890     83.49    0.1%
 9500  2000  4000   800     70280     60.08    0.0%
 9600  2000  4000   800     70500     64.75    0.0%
 9700  2000  4000   800     70880     49.28    0.0%
 9800  2000  4000   800     71170     30.85    0.0%
 9900  2000  4000   800     71610     46.26    0.0%
10000  1000  4000   800     71940     91.44    0.1%
10000  1020  4000   800     71860     43.83    0.0%
10000  1040  4000   800     71900     33.88    0.0%
10000  1060  4000   800     71950     102.3    0.1%
10000  1080  4000   800     71860     47.06    0.0%
10000  1100  4000   800     71900     84.51    0.1%
10000  1120  4000   800     71960     59.72    0.0%
10000  1140  4000   800     71810     49.12    0.0%
10000  1160  4000   800     71910     71.37    0.0%
10000  1180  4000   800     71760     58.96    0.0%
10000  1200  4000   800     71930     53.25    0.0%
10000  1220  4000   800     71900     69.65    0.0%
10000  1240  4000   800     71850     52.85    0.0%
10000  1260  4000   800     71890     58.34    0.0%
10000  1280  4000   800     71960     59.85    0.0%
10000  1300  4000   800     71960     63.81    0.0%
10000  1320  4000   800     71890     53.58    0.0%
10000  1340  4000   800     71990     69.83    0.0%
10000  1360  4000   800     72120     94.92    0.1%
10000  1380  4000   800     71930     51.68    0.0%
10000  1400  4000   800     71960     81.28    0.1%
10000  1420  4000   800     72000     65.39    0.0%
10000  1440  4000   800     71870     52.91    0.0%
10000  1460  4000   800     72050     42.89    0.0%
10000  1480  4000   800     71960     77.86    0.1%
10000  1500  4000   800     71910     39.09    0.0%
10000  1520  4000   800     71990      51.7    0.0%
10000  1540  4000   800     71840     52.51    0.0%
10000  1560  4000   800     72010      78.8    0.1%
10000  1580  4000   800     72070     65.49    0.0%
10000  1600  4000   800     72020     81.38    0.1%
10000  1620  4000   800     72050     80.44    0.1%
10000  1640  4000   800     71990     50.89    0.0%
10000  1660  4000   800     72010     45.28    0.0%
10000  1680  4000   800     72120     93.32    0.1%
10000  1700  4000   800     72060     35.99    0.0%
10000  1720  4000   800     72010     45.82    0.0%
10000  1740  4000   800     71950     29.95    0.0%
10000  1760  4000   800     72160     74.25    0.1%
10000  1780  4000   800     72110     65.99    0.0%
10000  1800  4000   800     72050     77.65    0.1%
10000  1820  4000   800     72070     88.54    0.1%
10000  1840  4000   800     72190     56.98    0.0%
10000  1860  4000   800     72060      52.6    0.0%
10000  1880  4000   800     72180     93.27    0.1%
10000  1900  4000   800     71980      41.9    0.0%
10000  1920  4000   800     72070     45.11    0.0%
10000  1940  4000   800     72080     61.89    0.0%
10000  1960  4000   800     72110     57.22    0.0%
10000  1980  4000   800     72250     80.05    0.1%
10000  2000  1000   800     43510     65.82    0.1%
10000  2000  1060   800     44040     26.95    0.0%
10000  2000  1120   800     44390     37.79    0.0%
10000  2000  1180   800     45160     54.17    0.1%
10000  2000  1240   800     45690     68.94    0.1%
10000  2000  1300   800     46130      40.2    0.0%
10000  2000  1360   800     46620     45.47    0.0%
10000  2000  1420   800     47220     77.66    0.1%
10000  2000  1480   800     47920     59.22    0.1%
10000  2000  1540   800     48570     71.92    0.1%
10000  2000  1600   800     49190     58.35    0.1%
10000  2000  1660   800     49640     85.34    0.1%
10000  2000  1720   800     50340     41.42    0.0%
10000  2000  1780   800     50960     44.07    0.0%
10000  2000  1840   800     51260      26.6    0.0%
10000  2000  1900   800     52000     51.75    0.0%
10000  2000  1960   800     52640     77.64    0.1%
10000  2000  2020   800     52950     57.82    0.1%
10000  2000  2080   800     53620     37.62    0.0%
10000  2000  2140   800     54140     74.34    0.1%
10000  2000  2200   800     54700     56.39    0.1%
10000  2000  2260   800     55130     46.38    0.0%
10000  2000  2320   800     55680     67.52    0.1%
10000  2000  2380   800     56290        63    0.1%
10000  2000  2440   800     56840     83.98    0.1%
10000  2000  2500   800     57320     56.34    0.0%
10000  2000  2560   800     57870     44.58    0.0%
10000  2000  2620   800     58420     23.03    0.0%
10000  2000  2680   800     58980     81.53    0.1%
10000  2000  2740   800     59600     53.17    0.0%
10000  2000  2800   800     60100     76.97    0.1%
10000  2000  2860   800     60630     57.22    0.0%
10000  2000  2920   800     61200     56.12    0.0%
10000  2000  2980   800     61900     63.67    0.1%
10000  2000  3040   800     62460     50.04    0.0%
10000  2000  3100   800     63250     46.04    0.0%
10000  2000  3160   800     63640     43.72    0.0%
10000  2000  3220   800     64420     88.13    0.1%
10000  2000  3280   800     65000     34.81    0.0%
10000  2000  3340   800     65580     68.48    0.1%
10000  2000  3400   800     66120     52.75    0.0%
10000  2000  3460   800     66740      67.4    0.1%
10000  2000  3520   800     67290     74.34    0.1%
10000  2000  3580   800     68170     82.06    0.1%
10000  2000  3640   800     68560     50.94    0.0%
10000  2000  3700   800     69150      78.7    0.1%
10000  2000  3760   800     69680     46.21    0.0%
10000  2000  3820   800     70170     50.63    0.0%
10000  2000  3880   800     70800      45.8    0.0%
10000  2000  3940   800     71310     46.51    0.0%
10000  2000  4000   400     69860     29.11    0.0%
10000  2000  4000   408     70070     54.89    0.0%
10000  2000  4000   416     70300     49.66    0.0%
10000  2000  4000   424     70300     54.04    0.0%
10000  2000  4000   432     70460     71.62    0.1%
10000  2000  4000   440     70570      79.3    0.1%
10000  2000  4000   448     70600     47.84    0.0%
10000  2000  4000   456     70550     61.75    0.0%
10000  2000  4000   464     70480     95.49    0.1%
10000  2000  4000   472     70300     71.35    0.1%
10000  2000  4000   480     70530     87.08    0.1%
10000  2000  4000   488     70630     112.2    0.1%
10000  2000  4000   496     70420     65.98    0.0%
10000  2000  4000   504     70360      77.8    0.1%
10000  2000  4000   512     70290     66.38    0.0%
10000  2000  4000   520     70160      64.7    0.0%
10000  2000  4000   528     70220     59.26    0.0%
10000  2000  4000   536     70280      74.7    0.1%
10000  2000  4000   544     70210     57.62    0.0%
10000  2000  4000   552     70200     73.37    0.1%
10000  2000  4000   560     70240     69.19    0.0%
10000  2000  4000   568     70190     59.82    0.0%
10000  2000  4000   576     70080     66.14    0.0%
10000  2000  4000   584     70250     89.18    0.1%
10000  2000  4000   592     70290     70.14    0.0%
10000  2000  4000   600     70240     43.76    0.0%
10000  2000  4000   608     70340     54.79    0.0%
10000  2000  4000   616     70430     53.58    0.0%
10000  2000  4000   624     70350     56.65    0.0%
10000  2000  4000   632     70510     49.99    0.0%
10000  2000  4000   640     70620     46.72    0.0%
10000  2000  4000   648     70640     62.76    0.0%
10000  2000  4000   656     70770     44.12    0.0%
10000  2000  4000   664     70840     54.87    0.0%
10000  2000  4000   672     70810     45.26    0.0%
10000  2000  4000   680     70890      44.4    0.0%
10000  2000  4000   688     70900     51.39    0.0%
10000  2000  4000   696     71010     38.17    0.0%
10000  2000  4000   704     71050     81.92    0.1%
10000  2000  4000   712     71350     90.92    0.1%
10000  2000  4000   720     71290     83.24    0.1%
10000  2000  4000   728     71220     73.94    0.1%
10000  2000  4000   736     71380     38.55    0.0%
10000  2000  4000   744     71470     68.63    0.0%
10000  2000  4000   752     71660     63.06    0.0%
10000  2000  4000   760     71390     60.74    0.0%
10000  2000  4000   768     71680     30.32    0.0%
10000  2000  4000   776     71610      58.7    0.0%
10000  2000  4000   784     71670     76.63    0.1%
10000  2000  4000   792     71750     79.69    0.1%
10000  2000  4000   800     72030     94.93    0.1%

Quality and confidence:
param     error
v         0.004
t         0.022
a         0.007
d         0.056

Model:
Time ~=        0
    + v     3.53
    + t        0
    + a    9.509
    + d    5.139
              µs

Reads = 4 + (0 * v) + (0 * t) + (0 * a) + (0 * d)
Writes = 0 + (0 * v) + (0 * t) + (0 * a) + (0 * d)

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

KiChjang · 2021-08-07T09:24:11Z

frame/benchmarking/src/lib.rs

+						name: benchmark.as_bytes().to_vec(),
+						components,
+					}
+				}).collect::<$crate::Vec<_>>()


nit:

Suggested change

}).collect::<$crate::Vec<_>>()

}).collect()

This is ok because the return type is specified, so the compiler can reason about what type the iterator should collect into.

frame/benchmarking/src/utils.rs

frame/benchmarking/src/lib.rs

KiChjang · 2021-08-07T14:49:06Z

utils/frame/benchmarking-cli/src/command.rs

+			genesis_storage.clone(),
+			cache_size,
+			self.record_proof,
+			true,


It's not quite obvious what this boolean represents when looking at the code, perhaps create a new enum that is more descriptive?

enum Tracking { Enable, Disable }

KiChjang

Small nits, doesn't really matter if they're addressed or not.

shawntabrizi · 2021-08-07T16:04:36Z

bot merge

ghost · 2021-08-07T16:04:41Z

Waiting for commit status.

Co-authored-by: Keith Yeung <[email protected]>

weights with metadata

7fdb085

shawntabrizi requested review from athei and kianenigma as code owners August 1, 2021 09:11