Skip to content
This repository has been archived by the owner on Nov 15, 2023. It is now read-only.

WIP: rerun benchmarks #9413

Closed
wants to merge 13 commits into from
Closed

WIP: rerun benchmarks #9413

wants to merge 13 commits into from

Conversation

gui1117
Copy link
Contributor

@gui1117 gui1117 commented Jul 22, 2021 •
edited
Loading

follow-up on #9343 rerun benchmarks for pallets in substrate:

  • /benchmark runtime pallet pallet_lottery
  • /benchmark runtime pallet frame_system
  • /benchmark runtime pallet pallet_utility
  • /benchmark runtime pallet pallet_babe
  • /benchmark runtime pallet pallet_timestamp
  • /benchmark runtime pallet pallet_authorship
  • /benchmark runtime pallet pallet_indices
  • /benchmark runtime pallet pallet_balances
  • /benchmark runtime pallet pallet_assets
  • /benchmark runtime pallet pallet_babe
  • /benchmark runtime pallet pallet_bounties
  • /benchmark runtime pallet pallet_collective
  • /benchmark runtime pallet pallet_contracts
  • /benchmark runtime pallet pallet_democracy
  • /benchmark runtime pallet pallet_election_provider_multi_phase
  • /benchmark runtime pallet pallet_elections_phragmen
  • /benchmark runtime pallet pallet_gilt
  • /benchmark runtime pallet pallet_grandpa
  • /benchmark runtime pallet pallet_identity
  • /benchmark runtime pallet pallet_im_online
  • /benchmark runtime pallet pallet_membership
  • /benchmark runtime pallet pallet_mmr
  • /benchmark runtime pallet pallet_multisig
  • /benchmark runtime pallet pallet_offences
  • /benchmark runtime pallet pallet_proxy
  • /benchmark runtime pallet pallet_scheduler
  • /benchmark runtime pallet pallet_session
  • /benchmark runtime pallet pallet_staking
  • /benchmark runtime pallet pallet_tips
  • /benchmark runtime pallet pallet_transaction_storage
  • /benchmark runtime pallet pallet_treasury
  • /benchmark runtime pallet pallet_uniques
  • /benchmark runtime pallet pallet_utility
  • /benchmark runtime pallet pallet_vesting

@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_lottery

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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_lottery --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/lottery/src/weights.rs --template=./.maintain/frame-weight-template.hbs

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

Model:
Time ~=    75.06
              µs

Reads = 6
Writes = 4
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    75.06
              µs

Reads = 6
Writes = 4
Pallet: "pallet_lottery", Extrinsic: "set_calls", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    15.37
    + n    0.299
              µs

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

Data points distribution:
    n   mean µs  sigma µs       %
    0     15.05     0.075    0.4%
    1      15.7     0.031    0.1%
    2     16.02     0.086    0.5%
    3     16.33      0.05    0.3%
    4     16.59     0.065    0.3%
    5     16.99     0.078    0.4%
    6     17.27     0.046    0.2%
    7     17.29     0.075    0.4%
    8     17.79     0.064    0.3%
    9     17.92     0.037    0.2%
   10     18.38     0.057    0.3%

Quality and confidence:
param     error
n         0.004

Model:
Time ~=    15.33
    + n    0.304
              µs

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

Model:
Time ~=    59.55
              µs

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

Model:
Time ~=    59.55
              µs

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

Model:
Time ~=    7.575
              µs

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

Model:
Time ~=    7.575
              µs

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

Model:
Time ~=    117.7
              µs

Reads = 6
Writes = 4
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    117.7
              µs

Reads = 6
Writes = 4
Pallet: "pallet_lottery", Extrinsic: "on_initialize_repeat", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    122.4
              µs

Reads = 7
Writes = 5
Min Squares Analysis
========
-- Extrinsic Time --

Model:
Time ~=    122.4
              µs

Reads = 7
Writes = 5

Parity Benchmarking Bot added 2 commits July 22, 2021 10:06
Merge branch 'master' of https://github.com/paritytech/substrate into…
3ad030e 
… gui-rerun-benchmarks
cargo run --quiet --release --features=runtime-benchmarks --manifest-…
8ac052b 
…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_lottery --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/lottery/src/weights.rs --template=./.maintain/frame-weight-template.hbs
@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_utility

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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_utility --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/utility/src/weights.rs --template=./.maintain/frame-weight-template.hbs

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

Model:
Time ~=    18.26
    + c    1.081
              µs

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

Data points distribution:
    c   mean µs  sigma µs       %
    0     14.58     0.067    0.4%
   20      38.7     0.087    0.2%
   40      61.7     0.079    0.1%
   60     80.14     0.095    0.1%
   80     107.6      0.13    0.1%
  100     126.2     0.192    0.1%
  120     144.8     0.096    0.0%
  140     184.7     0.139    0.0%
  160     199.3     0.386    0.1%
  180     217.6      0.25    0.1%
  200     235.8      0.31    0.1%
  220     254.8     0.366    0.1%
  240       273     0.504    0.1%
  260     326.2     0.208    0.0%
  280     344.8     0.334    0.0%
  300     362.8     0.226    0.0%
  320     363.4     0.442    0.1%
  340     381.9     0.444    0.1%
  360     401.3     1.894    0.4%
  380     418.8     0.427    0.1%
  400     489.4     0.453    0.0%
  420     475.6     6.232    1.3%
  440     490.4      0.39    0.0%
  460     508.2      0.34    0.0%
  480     528.2     1.134    0.2%
  500     546.5     0.612    0.1%
  520     580.7     0.405    0.0%
  540     599.3     0.506    0.0%
  560     618.7     1.006    0.1%
  580     643.4     12.88    2.0%
  600     654.6      0.64    0.0%
  620     691.2     0.806    0.1%
  640     712.6     5.138    0.7%
  660     729.5      0.48    0.0%
  680     750.9     8.353    1.1%
  700     773.7     9.623    1.2%
  720     813.3     13.18    1.6%
  740     831.8     15.88    1.9%
  760     841.5     6.633    0.7%
  780     857.7     1.383    0.1%
  800     883.4     11.17    1.2%
  820     921.2     13.93    1.5%
  840     935.3     11.31    1.2%
  860     950.2     8.409    0.8%
  880     965.5     1.113    0.1%
  900     988.6     7.739    0.7%
  920      1027     11.37    1.1%
  940      1044     9.433    0.9%
  960      1059     7.406    0.6%
  980      1079     11.23    1.0%
 1000      1096     5.691    0.5%

Quality and confidence:
param     error
c         0.001

Model:
Time ~=    20.69
    + c    1.081
              µs

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

Model:
Time ~=     3.92
              µs

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

Model:
Time ~=     3.92
              µs

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

Model:
Time ~=    17.64
    + c     1.51
              µs

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

Data points distribution:
    c   mean µs  sigma µs       %
    0     15.27       0.1    0.6%
   20      47.7     0.095    0.1%
   40     79.22     0.102    0.1%
   60     105.8     0.142    0.1%
   80     141.8      0.09    0.0%
  100     168.6     0.115    0.0%
  120     195.7      0.08    0.0%
  140     240.4     0.175    0.0%
  160       267     0.149    0.0%
  180     293.9     0.119    0.0%
  200     320.4     0.221    0.0%
  220       347     0.243    0.0%
  240     375.1     2.026    0.5%
  260     436.4     0.146    0.0%
  280     462.9     0.365    0.0%
  300     489.6      0.24    0.0%
  320       501     6.163    1.2%
  340     525.5     0.369    0.0%
  360     551.8      0.51    0.0%
  380     582.9     9.885    1.6%
  400       658     0.562    0.0%
  420     649.3     0.308    0.0%
  440     684.1     10.81    1.5%
  460     705.1     0.627    0.0%
  480     731.3     0.537    0.0%
  500       764     9.359    1.2%
  520     802.4     0.727    0.0%
  540     829.5     0.754    0.0%
  560     856.3      0.43    0.0%
  580     882.4     1.122    0.1%
  600     909.6     0.814    0.0%
  620     961.3      11.8    1.2%
  640     983.6     7.721    0.7%
  660      1009     5.653    0.5%
  680      1034     1.068    0.1%
  700      1061     1.366    0.1%
  720      1116     14.68    1.3%
  740      1131     1.091    0.0%
  760      1158     0.476    0.0%
  780      1194     14.03    1.1%
  800      1213     4.715    0.3%
  820      1254     1.087    0.0%
  840      1325     15.02    1.1%
  860      1346      1.21    0.0%
  880      1373      2.22    0.1%
  900      1394     1.214    0.0%
  920      1439     1.807    0.1%
  940      1464     1.312    0.0%
  960      1472     13.68    0.9%
  980      1505     13.22    0.8%
 1000      1513     1.957    0.1%

Quality and confidence:
param     error
c         0.002

Model:
Time ~=    17.02
    + c    1.518
              µs

Reads = 0 + (0 * c)
Writes = 0 + (0 * c)

cargo run --quiet --release --features=runtime-benchmarks --manifest-…
cc17fae 
…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_utility --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/utility/src/weights.rs --template=./.maintain/frame-weight-template.hbs
@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_babe

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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_babe --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/babe/src/weights.rs --template=./.maintain/frame-weight-template.hbs

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

Model:
Time ~=    109.1
    + x        0
              µs

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

Data points distribution:
    x   mean µs  sigma µs       %
    0     109.1     0.221    0.2%
    1     108.7     0.076    0.0%

Quality and confidence:
param     error
x         0.078

Model:
Time ~=    109.1
    + x        0
              µs

Reads = 0 + (0 * x)
Writes = 0 + (0 * x)

cargo run --quiet --release --features=runtime-benchmarks --manifest-…
82ffca2 
…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_babe --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/babe/src/weights.rs --template=./.maintain/frame-weight-template.hbs
@gui1117 gui1117 requested a review from andresilva as a code owner July 22, 2021 10:20
@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_timestamp

@gui1117 gui1117 removed the request for review from andresilva July 22, 2021 10:22
@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_timestamp

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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_timestamp --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/timestamp/src/weights.rs --template=./.maintain/frame-weight-template.hbs

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

Model:
Time ~=    10.93
              µs

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

Model:
Time ~=    10.93
              µs

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

Model:
Time ~=    4.748
              µs

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

Model:
Time ~=    4.748
              µs

Reads = 0
Writes = 0

cargo run --quiet --release --features=runtime-benchmarks --manifest-…
69b9617 
…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_timestamp --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/timestamp/src/weights.rs --template=./.maintain/frame-weight-template.hbs
@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_authorship

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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_authorship --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/authorship/src/weights.rs --template=./.maintain/frame-weight-template.hbs

Results 
Error: Benchmark not found for this pallet.

@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_indices

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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_indices --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/indices/src/weights.rs --template=./.maintain/frame-weight-template.hbs

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

Model:
Time ~=    41.51
              µs

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

Model:
Time ~=    41.51
              µs

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

Model:
Time ~=    50.41
              µs

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

Model:
Time ~=    50.41
              µs

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

Model:
Time ~=    41.92
              µs

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

Model:
Time ~=    41.92
              µs

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

Model:
Time ~=    42.34
              µs

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

Model:
Time ~=    42.34
              µs

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

Model:
Time ~=    39.85
              µs

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

Model:
Time ~=    39.85
              µs

Reads = 1
Writes = 1

cargo run --quiet --release --features=runtime-benchmarks --manifest-…
606302a 
…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_indices --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/indices/src/weights.rs --template=./.maintain/frame-weight-template.hbs
@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_balances

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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_balances --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/balances/src/weights.rs --template=./.maintain/frame-weight-template.hbs

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

Model:
Time ~=    77.75
              µs

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

Model:
Time ~=    77.75
              µs

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

Model:
Time ~=    57.45
              µs

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

Model:
Time ~=    57.45
              µs

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

Model:
Time ~=    31.33
              µs

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

Model:
Time ~=    31.33
              µs

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

Model:
Time ~=    37.72
              µs

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

Model:
Time ~=    37.72
              µs

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

Model:
Time ~=    76.89
              µs

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

Model:
Time ~=    76.89
              µs

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

Model:
Time ~=    71.29
              µs

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

Model:
Time ~=    71.29
              µs

Reads = 1
Writes = 1

cargo run --quiet --release --features=runtime-benchmarks --manifest-…
ffff638 
…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_balances --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/balances/src/weights.rs --template=./.maintain/frame-weight-template.hbs
@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_transaction_payment

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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_transaction_payment --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/transaction-payment/src/weights.rs --template=./.maintain/frame-weight-template.hbs

Results 
Error: Benchmark not found for this pallet.

@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_assets

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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_assets --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/assets/src/weights.rs --template=./.maintain/frame-weight-template.hbs

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

Model:
Time ~=    44.03
              µs

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

Model:
Time ~=    44.03
              µs

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

Model:
Time ~=    22.43
              µs

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

Model:
Time ~=    22.43
              µs

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

Model:
Time ~=        0
    + c    22.71
    + s    29.14
    + a     30.6
              µs

Reads = 5 + (2 * c) + (2 * s) + (1 * a)
Writes = 2 + (2 * c) + (2 * s) + (1 * a)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    c     s     a   mean µs  sigma µs       %
    0  5000   500    147700     407.4    0.2%
  100  5000   500    149500     535.1    0.3%
  200  5000   500    152100     384.6    0.2%
  300  5000   500    154300     302.9    0.1%
  400  5000   500    157000     388.4    0.2%
  500  5000   500    159100     483.8    0.3%
  600  5000   500    161400     399.2    0.2%
  700  5000   500    163600     423.4    0.2%
  800  5000   500    166500     393.4    0.2%
  900  5000   500    166600     194.4    0.1%
 1000  5000   500    167700       249    0.1%
 1100  5000   500    173500     370.8    0.2%
 1200  5000   500    174200       298    0.1%
 1300  5000   500    174700     617.5    0.3%
 1400  5000   500    179000     232.7    0.1%
 1500  5000   500    177700     298.6    0.1%
 1600  5000   500    184100     301.4    0.1%
 1700  5000   500    185900     218.1    0.1%
 1800  5000   500    187200     324.4    0.1%
 1900  5000   500    187600     170.5    0.0%
 2000  5000   500    192000       492    0.2%
 2100  5000   500    195000     193.4    0.0%
 2200  5000   500    197300     557.4    0.2%
 2300  5000   500    198100       632    0.3%
 2400  5000   500    204100     310.5    0.1%
 2500  5000   500    204500     439.7    0.2%
 2600  5000   500    208000     325.1    0.1%
 2700  5000   500    207500     604.7    0.2%
 2800  5000   500    212200     236.9    0.1%
 2900  5000   500    214600       348    0.1%
 3000  5000   500    213900     324.5    0.1%
 3100  5000   500    220700     155.8    0.0%
 3200  5000   500    218600     327.9    0.1%
 3300  5000   500    221900       469    0.2%
 3400  5000   500    227000     497.9    0.2%
 3500  5000   500    225100     507.5    0.2%
 3600  5000   500    231000     568.3    0.2%
 3700  5000   500    233500     417.6    0.1%
 3800  5000   500    230400     717.8    0.3%
 3900  5000   500    236400     339.6    0.1%
 4000  5000   500    233400       419    0.1%
 4100  5000   500    241500     339.5    0.1%
 4200  5000   500    242300       614    0.2%
 4300  5000   500    247000     590.7    0.2%
 4400  5000   500    245100     277.1    0.1%
 4500  5000   500    246700     379.2    0.1%
 4600  5000   500    249600     455.2    0.1%
 4700  5000   500    250800     403.2    0.1%
 4800  5000   500    257400     459.1    0.1%
 4900  5000   500    259400     795.3    0.3%
 5000     0   500    116500     536.3    0.4%
 5000   100   500    119700     289.8    0.2%
 5000   200   500    122000     265.6    0.2%
 5000   300   500    124200     256.7    0.2%
 5000   400   500    128500     285.6    0.2%
 5000   500   500    130300     294.8    0.2%
 5000   600   500    133900     298.1    0.2%
 5000   700   500    137100     196.5    0.1%
 5000   800   500    140100     265.2    0.1%
 5000   900   500    143200     208.1    0.1%
 5000  1000   500    145100     267.7    0.1%
 5000  1100   500    149400     372.6    0.2%
 5000  1200   500    152000     187.4    0.1%
 5000  1300   500    153000     622.8    0.4%
 5000  1400   500    157200     258.8    0.1%
 5000  1500   500    157700     172.5    0.1%
 5000  1600   500    160300     250.9    0.1%
 5000  1700   500    165800       463    0.2%
 5000  1800   500    167500     560.5    0.3%
 5000  1900   500    172100     366.9    0.2%
 5000  2000   500    178000     187.4    0.1%
 5000  2100   500    176300     295.5    0.1%
 5000  2200   500    179900     412.2    0.2%
 5000  2300   500    185000     214.8    0.1%
 5000  2400   500    189200     194.5    0.1%
 5000  2500   500    190200     324.3    0.1%
 5000  2600   500    195000     518.8    0.2%
 5000  2700   500    195600       409    0.2%
 5000  2800   500    199300     389.3    0.1%
 5000  2900   500    200600     335.9    0.1%
 5000  3000   500    201800     427.3    0.2%
 5000  3100   500    205900     482.7    0.2%
 5000  3200   500    209800     510.9    0.2%
 5000  3300   500    213300     251.6    0.1%
 5000  3400   500    215800       590    0.2%
 5000  3500   500    217600     617.4    0.2%
 5000  3600   500    219800     409.8    0.1%
 5000  3700   500    223700     712.8    0.3%
 5000  3800   500    227700     710.8    0.3%
 5000  3900   500    229500     793.6    0.3%
 5000  4000   500    230300     467.1    0.2%
 5000  4100   500    236800     518.3    0.2%
 5000  4200   500    239700     516.9    0.2%
 5000  4300   500    242600     825.6    0.3%
 5000  4400   500    242100     305.5    0.1%
 5000  4500   500    248600       496    0.1%
 5000  4600   500    250900     290.6    0.1%
 5000  4700   500    251400     741.4    0.2%
 5000  4800   500    257600     622.4    0.2%
 5000  4900   500    260000     587.5    0.2%
 5000  5000     0    242300     727.4    0.3%
 5000  5000    10    247700     567.4    0.2%
 5000  5000    20    244700     445.4    0.1%
 5000  5000    30    249300     623.3    0.2%
 5000  5000    40    245000     792.9    0.3%
 5000  5000    50    250200       451    0.1%
 5000  5000    60    247900     351.8    0.1%
 5000  5000    70    249700     428.4    0.1%
 5000  5000    80    250300     611.6    0.2%
 5000  5000    90    250700     429.1    0.1%
 5000  5000   100    251400       592    0.2%
 5000  5000   110    250700     513.9    0.2%
 5000  5000   120    247300     283.4    0.1%
 5000  5000   130    249600     805.7    0.3%
 5000  5000   140    248300     441.8    0.1%
 5000  5000   150    252400     534.6    0.2%
 5000  5000   160    253100     250.8    0.0%
 5000  5000   170    250700       510    0.2%
 5000  5000   180    254100     176.7    0.0%
 5000  5000   190    254000     553.9    0.2%
 5000  5000   200    252700       431    0.1%
 5000  5000   210    253300     773.4    0.3%
 5000  5000   220    247500     394.4    0.1%
 5000  5000   230    250300     517.8    0.2%
 5000  5000   240    255900     791.3    0.3%
 5000  5000   250    255500     571.2    0.2%
 5000  5000   260    255200     360.3    0.1%
 5000  5000   270    250300     383.3    0.1%
 5000  5000   280    255200     518.2    0.2%
 5000  5000   290    255900     835.9    0.3%
 5000  5000   300    255900     575.7    0.2%
 5000  5000   310    254800     663.8    0.2%
 5000  5000   320    254200     604.9    0.2%
 5000  5000   330    257300     528.3    0.2%
 5000  5000   340    256900     333.7    0.1%
 5000  5000   350    259800     478.6    0.1%
 5000  5000   360    255700     574.2    0.2%
 5000  5000   370    258900     703.8    0.2%
 5000  5000   380    256900     574.7    0.2%
 5000  5000   390    259800       437    0.1%
 5000  5000   400    262100     642.1    0.2%
 5000  5000   410    258200     296.3    0.1%
 5000  5000   420    258800     464.6    0.1%
 5000  5000   430    262600     666.4    0.2%
 5000  5000   440    257300     282.2    0.1%
 5000  5000   450    261300       514    0.1%
 5000  5000   460    259600     358.4    0.1%
 5000  5000   470    263600       338    0.1%
 5000  5000   480    260600     401.9    0.1%
 5000  5000   490    255800       323    0.1%
 5000  5000   500    262100     328.1    0.1%

Quality and confidence:
param     error
c         0.039
s         0.039
a         0.397

Model:
Time ~=        0
    + c    22.92
    + s    28.93
    + a    29.97
              µs

Reads = 5 + (2 * c) + (2 * s) + (1 * a)
Writes = 2 + (2 * c) + (2 * s) + (1 * a)
Pallet: "pallet_assets", Extrinsic: "mint", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=     48.2
              µs

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

Model:
Time ~=     48.2
              µs

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

Model:
Time ~=    55.88
              µs

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

Model:
Time ~=    55.88
              µs

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

Model:
Time ~=    83.59
              µs

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

Model:
Time ~=    83.59
              µs

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

Model:
Time ~=    71.05
              µs

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

Model:
Time ~=    71.05
              µs

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

Model:
Time ~=     83.3
              µs

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

Model:
Time ~=     83.3
              µs

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

Model:
Time ~=    32.24
              µs

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

Model:
Time ~=    32.24
              µs

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

Model:
Time ~=    32.17
              µs

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

Model:
Time ~=    32.17
              µs

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

Model:
Time ~=    23.08
              µs

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

Model:
Time ~=    23.08
              µs

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

Model:
Time ~=    23.33
              µs

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

Model:
Time ~=    23.33
              µs

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

Model:
Time ~=       27
              µs

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

Model:
Time ~=       27
              µs

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

Model:
Time ~=    23.83
              µs

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

Model:
Time ~=    23.83
              µs

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

Model:
Time ~=    49.27
    + n        0
    + s    0.001
              µs

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

Data points distribution:
    n     s   mean µs  sigma µs       %
    0    50     49.03      0.21    0.4%
    1    50     49.43     0.137    0.2%
    2    50     49.21     0.099    0.2%
    3    50     49.28      0.09    0.1%
    4    50     49.32     0.099    0.2%
    5    50     49.28     0.106    0.2%
    6    50     49.44     0.065    0.1%
    7    50     49.33      0.16    0.3%
    8    50     49.57     0.101    0.2%
    9    50     49.48     0.108    0.2%
   10    50     49.32      0.07    0.1%
   11    50     49.46     0.178    0.3%
   12    50     49.26     0.034    0.0%
   13    50     49.41     0.153    0.3%
   14    50     49.21     0.167    0.3%
   15    50     49.34     0.107    0.2%
   16    50     49.36     0.175    0.3%
   17    50     49.29     0.167    0.3%
   18    50     49.42     0.146    0.2%
   19    50     49.33     0.145    0.2%
   20    50     49.31     0.097    0.1%
   21    50     49.44     0.166    0.3%
   22    50     49.18     0.083    0.1%
   23    50     49.21      0.12    0.2%
   24    50     49.21     0.079    0.1%
   25    50     49.33     0.135    0.2%
   26    50     49.47     0.068    0.1%
   27    50     49.31     0.156    0.3%
   28    50     49.35     0.095    0.1%
   29    50     49.37      0.15    0.3%
   30    50     49.33     0.154    0.3%
   31    50     49.46     0.091    0.1%
   32    50     49.34     0.101    0.2%
   33    50     49.21     0.042    0.0%
   34    50     49.36     0.108    0.2%
   35    50     49.25     0.088    0.1%
   36    50     49.48     0.102    0.2%
   37    50     49.38     0.116    0.2%
   38    50     49.34     0.086    0.1%
   39    50     49.43      0.08    0.1%
   40    50     49.33     0.103    0.2%
   41    50     49.36     0.145    0.2%
   42    50     49.42     0.082    0.1%
   43    50     49.43     0.079    0.1%
   44    50     49.45     0.095    0.1%
   45    50     49.53     0.068    0.1%
   46    50     49.15     0.117    0.2%
   47    50     49.11     0.147    0.2%
   48    50     49.28     0.191    0.3%
   49    50     49.27     0.142    0.2%
   50     0     48.31     0.157    0.3%
   50     1     49.21     0.168    0.3%
   50     2     49.04     0.127    0.2%
   50     3      49.1     0.153    0.3%
   50     4      49.2     0.072    0.1%
   50     5      49.2     0.089    0.1%
   50     6     49.05     0.105    0.2%
   50     7     49.04     0.083    0.1%
   50     8     49.06      0.14    0.2%
   50     9     49.09     0.083    0.1%
   50    10        49     0.142    0.2%
   50    11     49.17     0.119    0.2%
   50    12     49.04     0.102    0.2%
   50    13     49.21     0.109    0.2%
   50    14     49.06     0.127    0.2%
   50    15     49.17     0.182    0.3%
   50    16     49.14     0.088    0.1%
   50    17     49.09       0.1    0.2%
   50    18     49.18     0.102    0.2%
   50    19     49.25     0.118    0.2%
   50    20     48.96      0.07    0.1%
   50    21     49.05     0.125    0.2%
   50    22     49.02     0.104    0.2%
   50    23     48.97     0.127    0.2%
   50    24     48.99     0.119    0.2%
   50    25     49.06     0.112    0.2%
   50    26     48.95     0.166    0.3%
   50    27     49.07     0.095    0.1%
   50    28     49.04     0.101    0.2%
   50    29      49.3      0.22    0.4%
   50    30     49.09     0.052    0.1%
   50    31     49.13     0.059    0.1%
   50    32     48.97     0.121    0.2%
   50    33     49.26      0.14    0.2%
   50    34      49.2     0.111    0.2%
   50    35     49.16      0.16    0.3%
   50    36     49.28     0.038    0.0%
   50    37     49.34     0.156    0.3%
   50    38     49.24     0.087    0.1%
   50    39     49.02     0.119    0.2%
   50    40     49.22      0.07    0.1%
   50    41      49.2     0.154    0.3%
   50    42     49.18      0.14    0.2%
   50    43     49.11     0.082    0.1%
   50    44     49.06     0.101    0.2%
   50    45      49.1     0.167    0.3%
   50    46     49.09     0.127    0.2%
   50    47     49.11     0.114    0.2%
   50    48     48.95      0.09    0.1%
   50    49     49.03     0.087    0.1%
   50    50     49.12     0.084    0.1%

Quality and confidence:
param     error
n             0
s             0

Model:
Time ~=    49.14
    + n        0
    + s    0.005
              µs

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

Model:
Time ~=    47.64
              µs

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

Model:
Time ~=    47.64
              µs

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

Model:
Time ~=    25.48
    + n        0
    + s    0.004
              µs

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

Data points distribution:
    n     s   mean µs  sigma µs       %
    0    50     25.35     0.078    0.3%
    1    50     25.66     0.085    0.3%
    2    50     25.72     0.069    0.2%
    3    50     25.78     0.067    0.2%
    4    50     25.66     0.054    0.2%
    5    50     25.68     0.094    0.3%
    6    50     25.65      0.07    0.2%
    7    50     25.66     0.102    0.3%
    8    50      25.8     0.072    0.2%
    9    50     25.91      0.06    0.2%
   10    50      25.6     0.075    0.2%
   11    50     25.59     0.027    0.1%
   12    50      25.7     0.032    0.1%
   13    50      25.7     0.055    0.2%
   14    50      25.7     0.062    0.2%
   15    50     25.61      0.07    0.2%
   16    50      25.8     0.066    0.2%
   17    50     25.52     0.062    0.2%
   18    50     25.56     0.047    0.1%
   19    50     25.66      0.05    0.1%
   20    50     25.65      0.05    0.1%
   21    50     25.66     0.075    0.2%
   22    50     25.66     0.072    0.2%
   23    50     25.65      0.07    0.2%
   24    50     25.58     0.062    0.2%
   25    50     25.72     0.064    0.2%
   26    50     25.66     0.109    0.4%
   27    50     25.61     0.062    0.2%
   28    50     25.81     0.111    0.4%
   29    50     25.56     0.042    0.1%
   30    50     25.59     0.069    0.2%
   31    50     25.74      0.06    0.2%
   32    50     25.66     0.082    0.3%
   33    50     25.65     0.099    0.3%
   34    50     25.66     0.089    0.3%
   35    50     25.72     0.094    0.3%
   36    50     25.68     0.044    0.1%
   37    50     25.67      0.07    0.2%
   38    50     25.71     0.055    0.2%
   39    50     25.71     0.089    0.3%
   40    50     25.74     0.035    0.1%
   41    50     25.68     0.065    0.2%
   42    50     25.69     0.045    0.1%
   43    50     25.62     0.051    0.1%
   44    50     25.66     0.062    0.2%
   45    50     25.73     0.073    0.2%
   46    50     25.42     0.059    0.2%
   47    50     25.45      0.08    0.3%
   48    50     25.47     0.096    0.3%
   49    50     25.49     0.078    0.3%
   50     0     24.91     0.054    0.2%
   50     1     25.37     0.064    0.2%
   50     2     25.22     0.053    0.2%
   50     3     25.26     0.034    0.1%
   50     4     25.34     0.095    0.3%
   50     5     25.23     0.065    0.2%
   50     6     25.32     0.112    0.4%
   50     7     25.27     0.054    0.2%
   50     8     25.42     0.097    0.3%
   50     9     25.26     0.028    0.1%
   50    10     25.34      0.06    0.2%
   50    11     25.32     0.068    0.2%
   50    12     25.43     0.048    0.1%
   50    13      25.4     0.053    0.2%
   50    14     25.38     0.049    0.1%
   50    15     25.22     0.067    0.2%
   50    16     25.43     0.084    0.3%
   50    17     25.33     0.065    0.2%
   50    18      25.3     0.066    0.2%
   50    19     25.49     0.057    0.2%
   50    20      25.4     0.036    0.1%
   50    21     25.39     0.071    0.2%
   50    22     25.46     0.074    0.2%
   50    23      25.3     0.041    0.1%
   50    24     25.33     0.049    0.1%
   50    25     25.39     0.067    0.2%
   50    26     25.28     0.068    0.2%
   50    27     25.46     0.105    0.4%
   50    28     25.37     0.079    0.3%
   50    29     25.36     0.062    0.2%
   50    30     25.42     0.061    0.2%
   50    31     25.36     0.062    0.2%
   50    32     25.45     0.043    0.1%
   50    33     25.39     0.034    0.1%
   50    34     25.47      0.08    0.3%
   50    35     25.47     0.055    0.2%
   50    36     25.43     0.052    0.2%
   50    37     25.45     0.087    0.3%
   50    38     25.47     0.096    0.3%
   50    39     25.48     0.106    0.4%
   50    40     25.32     0.056    0.2%
   50    41      25.4     0.076    0.2%
   50    42     25.41     0.068    0.2%
   50    43     25.48     0.031    0.1%
   50    44     25.46     0.075    0.2%
   50    45     25.57     0.132    0.5%
   50    46     25.43     0.058    0.2%
   50    47     25.46     0.058    0.2%
   50    48      25.6      0.09    0.3%
   50    49     25.57     0.054    0.2%
   50    50     25.39      0.05    0.1%

Quality and confidence:
param     error
n             0
s             0

Model:
Time ~=     25.4
    + n        0
    + s    0.006
              µs

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

Model:
Time ~=    46.81
              µs

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

Model:
Time ~=    46.81
              µs

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

Model:
Time ~=    21.64
              µs

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

Model:
Time ~=    21.64
              µs

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

Model:
Time ~=    55.46
              µs

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

Model:
Time ~=    55.46
              µs

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

Model:
Time ~=    108.5
              µs

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

Model:
Time ~=    108.5
              µs

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

Model:
Time ~=    56.15
              µs

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

Model:
Time ~=    56.15
              µs

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

Model:
Time ~=    57.06
              µs

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

Model:
Time ~=    57.06
              µs

Reads = 2
Writes = 2

cargo run --quiet --release --features=runtime-benchmarks --manifest-…
171ba78 
…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_assets --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/assets/src/weights.rs --template=./.maintain/frame-weight-template.hbs
@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_bounties

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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 ~=    45.68
    + 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     45.21     0.144    0.3%
  327     45.82      0.13    0.2%
  654     46.33     0.127    0.2%
  981     46.72     0.096    0.2%
 1308     47.77     0.179    0.3%
 1635     48.31     0.116    0.2%
 1962     48.89     0.115    0.2%
 2289     49.07     0.096    0.1%
 2616     49.63     0.119    0.2%
 2943     53.47     0.884    1.6%
 3270     50.85     0.188    0.3%
 3597     51.08     0.158    0.3%
 3924     51.41     0.143    0.2%
 4251     51.94     0.141    0.2%
 4578     52.46     0.184    0.3%
 4905     52.82     0.105    0.1%
 5232     53.52      0.09    0.1%
 5559     53.82     0.104    0.1%
 5886     54.47     0.056    0.1%
 6213     54.74     0.112    0.2%
 6540     55.51      0.11    0.1%
 6867     55.75      0.16    0.2%
 7194     56.29      0.06    0.1%
 7521     56.76     0.132    0.2%
 7848     57.32      0.12    0.2%
 8175     57.48      0.14    0.2%
 8502     58.28     0.078    0.1%
 8829      58.5     0.136    0.2%
 9156     59.21     0.288    0.4%
 9483     59.83     0.121    0.2%
 9810     60.25     0.086    0.1%
10137     60.64     0.172    0.2%
10464     64.15     1.105    1.7%
10791     61.85     0.154    0.2%
11118     62.48     0.119    0.1%
11445     62.67     0.198    0.3%
11772     62.98     0.141    0.2%
12099     63.42     0.079    0.1%
12426     63.97     0.146    0.2%
12753     64.14     0.112    0.1%
13080      64.9     0.119    0.1%
13407     65.32     0.189    0.2%
13734     65.83     0.104    0.1%
14061     66.47     0.179    0.2%
14388     66.99     0.142    0.2%
14715     67.17     0.106    0.1%
15042      69.3     0.171    0.2%
15369     68.33     0.086    0.1%
15696     69.13      0.17    0.2%
16023     69.32     0.123    0.1%
16350     69.78     0.128    0.1%

Quality and confidence:
param     error
d             0

Model:
Time ~=    45.81
    + 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 ~=    12.76
              µs

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

Model:
Time ~=    12.76
              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 ~=    10.04
              µs

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

Model:
Time ~=    10.04
              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 ~=    41.78
              µs

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

Model:
Time ~=    41.78
              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 ~=    38.48
              µs

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

Model:
Time ~=    38.48
              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 ~=    26.42
              µs

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

Model:
Time ~=    26.42
              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 ~=    129.2
              µs

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

Model:
Time ~=    129.2
              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 ~=    41.79
              µs

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

Model:
Time ~=    41.79
              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 ~=    86.39
              µs

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

Model:
Time ~=    86.39
              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 ~=    25.68
              µs

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

Model:
Time ~=    25.68
              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 ~=    6.518
    + b    60.65
              µs

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

Data points distribution:
    b   mean µs  sigma µs       %
    1     79.41     0.146    0.1%
    2     138.4     0.253    0.1%
    3     199.7     0.334    0.1%
    4     258.7     0.454    0.1%
    5     316.9      0.36    0.1%
    6     374.8     0.721    0.1%
    7     436.6     0.996    0.2%
    8     498.7     2.153    0.4%
    9     558.2     4.686    0.8%
   10     612.8     1.162    0.1%
   11     672.9     1.845    0.2%
   12     733.4     0.879    0.1%
   13     798.7     11.34    1.4%
   14     849.9     1.706    0.2%
   15     920.1     9.506    1.0%
   16     976.3     11.58    1.1%
   17      1039     9.894    0.9%
   18      1097     9.914    0.9%
   19      1165     15.29    1.3%
   20      1217     9.211    0.7%
   21      1291     13.55    1.0%
   22      1327     2.769    0.2%
   23      1397     14.16    1.0%
   24      1458     11.76    0.8%
   25      1516     12.41    0.8%
   26      1569     14.08    0.8%
   27      1635     12.42    0.7%
   28      1692     13.08    0.7%
   29      1749      12.6    0.7%
   30      1805     11.31    0.6%
   31      1865     9.013    0.4%
   32      1934      11.2    0.5%
   33      1988     8.677    0.4%
   34      2055      12.8    0.6%
   35      2123     15.72    0.7%
   36      2184     12.75    0.5%
   37      2255     11.69    0.5%
   38      2321     18.71    0.8%
   39      2358     12.19    0.5%
   40      2426     10.56    0.4%
   41      2479      8.41    0.3%
   42      2550     10.78    0.4%
   43      2598     13.21    0.5%
   44      2660     3.128    0.1%
   45      2712     9.911    0.3%
   46      2779     11.86    0.4%
   47      2846     18.08    0.6%
   48      2906     11.76    0.4%
   49      2990      12.6    0.4%
   50      3038     14.05    0.4%
   51      3101     13.13    0.4%
   52      3153     11.27    0.3%
   53      3203     12.79    0.3%
   54      3266     11.21    0.3%
   55      3330      12.8    0.3%
   56      3388     10.47    0.3%
   57      3456      10.8    0.3%
   58      3509      16.8    0.4%
   59      3573     12.13    0.3%
   60      3628     14.48    0.3%
   61      3697      5.56    0.1%
   62      3755     14.24    0.3%
   63      3814     16.06    0.4%
   64      3859     14.71    0.3%
   65      3925     14.05    0.3%
   66      3983     7.656    0.1%
   67      4054     12.56    0.3%
   68      4130     10.11    0.2%
   69      4183     10.31    0.2%
   70      4242     8.751    0.2%
   71      4300     11.28    0.2%
   72      4357     16.13    0.3%
   73      4443      11.2    0.2%
   74      4516     15.49    0.3%
   75      4577     13.66    0.2%
   76      4620     15.32    0.3%
   77      4692     9.896    0.2%
   78      4739     13.14    0.2%
   79      4817     11.81    0.2%
   80      4845     18.27    0.3%
   81      4937     12.36    0.2%
   82      4979     15.66    0.3%
   83      5050     13.73    0.2%
   84      5115     15.09    0.2%
   85      5158     15.53    0.3%
   86      5223     17.49    0.3%
   87      5287     10.14    0.1%
   88      5340     14.44    0.2%
   89      5417     14.21    0.2%
   90      5470     11.46    0.2%
   91      5541     11.83    0.2%
   92      5603     11.38    0.2%
   93      5697     20.23    0.3%
   94      5727     13.48    0.2%
   95      5784     16.04    0.2%
   96      5848     16.42    0.2%
   97      5896     15.83    0.2%
   98      5969     21.26    0.3%
   99      6031     18.15    0.3%
  100      6088     30.19    0.4%

Quality and confidence:
param     error
b         0.019

Model:
Time ~=        0
    + b    60.77
              µs

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

Parity Benchmarking Bot added 2 commits July 22, 2021 13:01
Merge branch 'master' of https://github.com/paritytech/substrate into…
33855ef 
… gui-rerun-benchmarks
cargo run --quiet --release --features=runtime-benchmarks --manifest-…
c5a6696 
…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
@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_collective

1 similar comment
@gui1117
Copy link
Contributor Author

gui1117 commented Jul 22, 2021

/benchmark runtime pallet pallet_collective

@parity-benchapp
Copy link

parity-benchapp bot commented Jul 22, 2021 •
edited
Loading

Benchmark Runtime Pallet for branch "gui-rerun-benchmarks" 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_collective --extrinsic="*" --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/collective/src/weights.rs --template=./.maintain/frame-weight-template.hbs

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

Model:
Time ~=        0
    + m    15.51
    + n    0.094
    + p    21.05
              µs

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

Data points distribution:
    m     n     p   mean µs  sigma µs       %
    1   100   100     637.3     3.496    0.5%
    2   100   100     637.2     3.218    0.5%
    3   100   100     639.7     3.099    0.4%
    4   100   100       676     3.763    0.5%
    5   100   100     690.5     3.404    0.4%
    6   100   100     708.5     4.242    0.5%
    7   100   100     724.7     2.591    0.3%
    8   100   100     739.2     3.333    0.4%
    9   100   100     750.2     1.578    0.2%
   10   100   100     767.5     5.223    0.6%
   11   100   100     784.6     2.967    0.3%
   12   100   100     810.2     8.106    1.0%
   13   100   100     805.7     2.038    0.2%
   14   100   100     826.9     4.981    0.6%
   15   100   100     841.9     4.226    0.5%
   16   100   100     860.7      3.72    0.4%
   17   100   100     872.6     10.51    1.2%
   18   100   100     888.5      3.03    0.3%
   19   100   100     896.1     1.351    0.1%
   20   100   100     920.9     5.361    0.5%
   21   100   100     934.8     2.949    0.3%
   22   100   100     931.4     1.297    0.1%
   23   100   100     952.6     1.828    0.1%
   24   100   100     978.9     8.543    0.8%
   25   100   100     981.8      4.04    0.4%
   26   100   100      1001     2.939    0.2%
   27   100   100      1036     8.954    0.8%
   28   100   100      1040     7.466    0.7%
   29   100   100      1042      8.76    0.8%
   30   100   100      1061     3.541    0.3%
   31   100   100      1078     10.81    1.0%
   32   100   100      1077     3.997    0.3%
   33   100   100      1106     7.767    0.7%
   34   100   100      1140     9.158    0.8%
   35   100   100      1167     6.901    0.5%
   36   100   100      1192     12.87    1.0%
   37   100   100      1200     2.291    0.1%
   38   100   100      1234      10.1    0.8%
   39   100   100      1236     7.729    0.6%
   40   100   100      1246     8.559    0.6%
   41   100   100      1265     7.818    0.6%
   42   100   100      1283     7.743    0.6%
   43   100   100      1303     11.17    0.8%
   44   100   100      1304     3.066    0.2%
   45   100   100      1321     4.561    0.3%
   46   100   100      1332     3.774    0.2%
   47   100   100      1352     11.31    0.8%
   48   100   100      1371     10.15    0.7%
   49   100   100      1406     10.14    0.7%
   50   100   100      1392     7.054    0.5%
   51   100   100      1418     7.429    0.5%
   52   100   100      1427     7.706    0.5%
   53   100   100      1447     12.15    0.8%
   54   100   100      1460     9.482    0.6%
   55   100   100      1488     12.57    0.8%
   56   100   100      1492     12.33    0.8%
   57   100   100      1505     14.72    0.9%
   58   100   100      1515     10.31    0.6%
   59   100   100      1526     2.313    0.1%
   60   100   100      1543     12.71    0.8%
   61   100   100      1552      9.17    0.5%
   62   100   100      1558     3.399    0.2%
   63   100   100      1588      12.6    0.7%
   64   100   100      1612      12.1    0.7%
   65   100   100      1636     12.22    0.7%
   66   100   100      1645     9.709    0.5%
   67   100   100      1673     10.46    0.6%
   68   100   100      1665     12.29    0.7%
   69   100   100      1678     10.42    0.6%
   70   100   100      1697     12.82    0.7%
   71   100   100      1712     9.461    0.5%
   72   100   100      1746     5.711    0.3%
   73   100   100      1747     10.94    0.6%
   74   100   100      1759     12.12    0.6%
   75   100   100      1778     14.53    0.8%
   76   100   100      1796     14.82    0.8%
   77   100   100      1797     8.257    0.4%
   78   100   100      1792     1.955    0.1%
   79   100   100      1831      14.9    0.8%
   80   100   100      1846     9.226    0.4%
   81   100   100      1865     13.64    0.7%
   82   100   100      1871     5.528    0.2%
   83   100   100      1891     11.45    0.6%
   84   100   100      1922     10.07    0.5%
   85   100   100      1924     13.13    0.6%
   86   100   100      1946     9.055    0.4%
   87   100   100      1949      10.8    0.5%
   88   100   100      1984     12.31    0.6%
   89   100   100      2011     10.38    0.5%
   90   100   100      2011     13.95    0.6%
   91   100   100      2014      14.1    0.6%
   92   100   100      2028     13.71    0.6%
   93   100   100      2051     12.36    0.6%
   94   100   100      2067     10.95    0.5%
   95   100   100      2092     13.34    0.6%
   96   100   100      2115     9.492    0.4%
   97   100   100      2137     12.82    0.5%
   98   100   100      2154     7.475    0.3%
   99   100   100      2156     10.05    0.4%
  100     1   100      2149     8.302    0.3%
  100     2   100      2148     12.32    0.5%
  100     3   100      2146     7.928    0.3%
  100     4   100      2151     16.09    0.7%
  100     5   100      2152      14.5    0.6%
  100     6   100      2149     11.68    0.5%
  100     7   100      2144     14.22    0.6%
  100     8   100      2151     16.71    0.7%
  100     9   100      2148     9.213    0.4%
  100    10   100      2146     13.88    0.6%
  100    11   100      2143     10.55    0.4%
  100    12   100      2158     7.017    0.3%
  100    13   100      2163     6.707    0.3%
  100    14   100      2148     10.27    0.4%
  100    15   100      2157     11.25    0.5%
  100    16   100      2168     9.379    0.4%
  100    17   100      2159     11.11    0.5%
  100    18   100      2146     10.11    0.4%
  100    19   100      2150     8.353    0.3%
  100    20   100      2151      8.51    0.3%
  100    21   100      2157     11.49    0.5%
  100    22   100      2158     14.29    0.6%
  100    23   100      2155     10.53    0.4%
  100    24   100      2158     12.03    0.5%
  100    25   100      2148     12.92    0.6%
  100    26   100      2155     13.64    0.6%
  100    27   100      2148     7.625    0.3%
  100    28   100      2168     15.92    0.7%
  100    29   100      2160     12.29    0.5%
  100    30   100      2161     13.33    0.6%
  100    31   100      2158     12.81    0.5%
  100    32   100      2161     17.82    0.8%
  100    33   100      2161     12.44    0.5%
  100    34   100      2155     11.94    0.5%
  100    35   100      2149     9.724    0.4%
  100    36   100      2149     8.724    0.4%
  100    37   100      2166      12.7    0.5%
  100    38   100      2155     13.72    0.6%
  100    39   100      2161     12.61    0.5%
  100    40   100      2172      7.83    0.3%
  100    41   100      2163     10.33    0.4%
  100    42   100      2152     10.34    0.4%
  100    43   100      2155     9.053    0.4%
  100    44   100      2157     12.85    0.5%
  100    45   100      2164     13.48    0.6%
  100    46   100      2165     9.426    0.4%
  100    47   100      2155      12.7    0.5%
  100    48   100      2143     8.994    0.4%
  100    49   100      2167     15.62    0.7%
  100    50   100      2150     10.41    0.4%
  100    51   100      2166     10.69    0.4%
  100    52   100      2162     12.19    0.5%
  100    53   100      2146     7.102    0.3%
  100    54   100      2161     9.401    0.4%
  100    55   100      2152     9.139    0.4%
  100    56   100      2150      9.48    0.4%
  100    57   100      2162     11.24    0.5%
  100    58   100      2170     8.308    0.3%
  100    59   100      2155     9.991    0.4%
  100    60   100      2155     13.01    0.6%
  100    61   100      2158     12.64    0.5%
  100    62   100      2162     14.61    0.6%
  100    63   100      2165      9.39    0.4%
  100    64   100      2148     6.642    0.3%
  100    65   100      2150     9.053    0.4%
  100    66   100      2163      12.5    0.5%
  100    67   100      2159     15.58    0.7%
  100    68   100      2145     10.86    0.5%
  100    69   100      2162     13.12    0.6%
  100    70   100      2154     10.65    0.4%
  100    71   100      2161     10.39    0.4%
  100    72   100      2157     12.65    0.5%
  100    73   100      2167     10.68    0.4%
  100    74   100      2157      10.1    0.4%
  100    75   100      2156     8.425    0.3%
  100    76   100      2160     11.25    0.5%
  100    77   100      2160     10.39    0.4%
  100    78   100      2151     8.378    0.3%
  100    79   100      2168     10.42    0.4%
  100    80   100      2159      12.7    0.5%
  100    81   100      2154     8.861    0.4%
  100    82   100      2156     11.05    0.5%
  100    83   100      2169     12.64    0.5%
  100    84   100      2165      8.95    0.4%
  100    85   100      2150     12.32    0.5%
  100    86   100      2153     11.18    0.5%
  100    87   100      2161     11.64    0.5%
  100    88   100      2162     9.768    0.4%
  100    89   100      2175     9.206    0.4%
  100    90   100      2156     11.49    0.5%
  100    91   100      2165     17.78    0.8%
  100    92   100      2157     10.66    0.4%
  100    93   100      2155     10.85    0.5%
  100    94   100      2154     6.672    0.3%
  100    95   100      2160     10.17    0.4%
  100    96   100      2160     10.38    0.4%
  100    97   100      2163     11.54    0.5%
  100    98   100      2161     14.13    0.6%
  100    99   100      2156     6.632    0.3%
  100   100     1     69.16     0.194    0.2%
  100   100     2     90.55     0.114    0.1%
  100   100     3     111.9     0.279    0.2%
  100   100     4       132     0.113    0.0%
  100   100     5     152.5     0.113    0.0%
  100   100     6     173.8     0.319    0.1%
  100   100     7     194.4     0.388    0.1%
  100   100     8     214.9     0.381    0.1%
  100   100     9       235     0.508    0.2%
  100   100    10     255.2     0.152    0.0%
  100   100    11     276.1     0.402    0.1%
  100   100    12     297.2     0.232    0.0%
  100   100    13     317.9     0.399    0.1%
  100   100    14     339.9     1.013    0.2%
  100   100    15     360.4     0.344    0.0%
  100   100    16     381.4     0.405    0.1%
  100   100    17     401.9     0.546    0.1%
  100   100    18     422.4     0.809    0.1%
  100   100    19     444.8     1.112    0.2%
  100   100    20     469.8     7.982    1.6%
  100   100    21     488.7     1.395    0.2%
  100   100    22     508.2     0.999    0.1%
  100   100    23     527.5     0.391    0.0%
  100   100    24     548.1     0.648    0.1%
  100   100    25     572.9     4.315    0.7%
  100   100    26     590.8     1.293    0.2%
  100   100    27     612.8      1.08    0.1%
  100   100    28     632.7     0.868    0.1%
  100   100    29     654.9     0.758    0.1%
  100   100    30     675.5     0.728    0.1%
  100   100    31     696.9     1.269    0.1%
  100   100    32     727.7     11.33    1.5%
  100   100    33     743.5     5.645    0.7%
  100   100    34     759.3     1.408    0.1%
  100   100    35     783.7     1.547    0.1%
  100   100    36     803.8     7.607    0.9%
  100   100    37     822.7     0.965    0.1%
  100   100    38       854     15.02    1.7%
  100   100    39     905.3     1.129    0.1%
  100   100    40     897.5     14.23    1.5%
  100   100    41     907.7     0.881    0.0%
  100   100    42       929     1.076    0.1%
  100   100    43     948.3     1.664    0.1%
  100   100    44     969.4     5.147    0.5%
  100   100    45     990.2     0.931    0.0%
  100   100    46      1010     1.627    0.1%
  100   100    47      1033     2.123    0.2%
  100   100    48      1054     0.846    0.0%
  100   100    49      1079     5.186    0.4%
  100   100    50      1097     1.564    0.1%
  100   100    51      1123     8.831    0.7%
  100   100    52      1148     9.581    0.8%
  100   100    53      1161     8.012    0.6%
  100   100    54      1181     2.645    0.2%
  100   100    55      1212     10.76    0.8%
  100   100    56      1231     6.619    0.5%
  100   100    57      1242     1.486    0.1%
  100   100    58      1268     4.495    0.3%
  100   100    59      1290     1.121    0.0%
  100   100    60      1309     2.429    0.1%
  100   100    61      1358     13.98    1.0%
  100   100    62      1363      13.6    0.9%
  100   100    63      1371     4.061    0.2%
  100   100    64      1397     11.55    0.8%
  100   100    65      1429     12.95    0.9%
  100   100    66      1437     3.049    0.2%
  100   100    67      1473     16.04    1.0%
  100   100    68      1483     8.864    0.5%
  100   100    69      1502      7.15    0.4%
  100   100    70      1524     9.539    0.6%
  100   100    71      1539     6.803    0.4%
  100   100    72      1560     9.956    0.6%
  100   100    73      1583     3.997    0.2%
  100   100    74      1600     3.555    0.2%
  100   100    75      1634     10.51    0.6%
  100   100    76      1652      12.2    0.7%
  100   100    77      1675     10.17    0.6%
  100   100    78      1700     10.39    0.6%
  100   100    79      1708     7.619    0.4%
  100   100    80      1735     8.166    0.4%
  100   100    81      1749     2.341    0.1%
  100   100    82      1777     12.54    0.7%
  100   100    83      1796     11.26    0.6%
  100   100    84      1838     15.94    0.8%
  100   100    85      1849     15.86    0.8%
  100   100    86      1861     8.742    0.4%
  100   100    87      1881     12.33    0.6%
  100   100    88      1911     11.61    0.6%
  100   100    89      1928     11.25    0.5%
  100   100    90      1958     13.48    0.6%
  100   100    91      1968     10.96    0.5%
  100   100    92      1993     16.64    0.8%
  100   100    93      2023     14.62    0.7%
  100   100    94      2031     13.63    0.6%
  100   100    95      2060     13.59    0.6%
  100   100    96      2068     9.901    0.4%
  100   100    97      2098     9.805    0.4%
  100   100    98      2119     14.57    0.6%
  100   100    99      2125     8.747    0.4%
  100   100   100      2158     10.17    0.4%

Quality and confidence:
param     error
m          0.01
n          0.01
p          0.01

Model:
Time ~=        0
    + m    15.49
    + n    0.112
    + p     21.2
              µs

Reads = 2 + (0 * m) + (0 * n) + (1 * p)
Writes = 2 + (0 * m) + (0 * n) + (1 * p)
Pallet: "pallet_collective", Extrinsic: "execute", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=     23.4
    + b    0.002
    + m    0.097
              µs

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

Data points distribution:
    b     m   mean µs  sigma µs       %
    1   100     32.82       0.1    0.3%
   21   100     33.21      0.09    0.2%
   41   100     33.25      0.11    0.3%
   61   100     33.26     0.058    0.1%
   81   100     33.36     0.028    0.0%
  101   100     33.44     0.076    0.2%
  121   100     33.49       0.1    0.2%
  141   100     33.62     0.083    0.2%
  161   100     33.68      0.08    0.2%
  181   100     33.66     0.032    0.0%
  201   100     33.91     0.092    0.2%
  221   100     33.95     0.057    0.1%
  241   100     33.75      0.06    0.1%
  261   100     33.95     0.067    0.1%
  281   100     34.07     0.052    0.1%
  301   100     34.03     0.061    0.1%
  321   100     34.07     0.089    0.2%
  341   100     33.97     0.067    0.1%
  361   100     34.18     0.036    0.1%
  381   100     34.25     0.068    0.1%
  401   100     34.28     0.049    0.1%
  421   100     34.25     0.084    0.2%
  441   100     34.35     0.087    0.2%
  461   100      34.4     0.082    0.2%
  481   100      34.4     0.057    0.1%
  501   100     34.47     0.067    0.1%
  521   100     34.73     0.075    0.2%
  541   100     34.72      0.05    0.1%
  561   100     34.73     0.088    0.2%
  581   100     34.77     0.055    0.1%
  601   100     34.71      0.08    0.2%
  621   100     34.88     0.081    0.2%
  641   100     35.11     0.091    0.2%
  661   100     35.01     0.065    0.1%
  681   100      35.1     0.104    0.2%
  701   100     35.16     0.088    0.2%
  721   100     35.32     0.107    0.3%
  741   100      35.6     0.296    0.8%
  761   100     35.28     0.101    0.2%
  781   100     35.43     0.083    0.2%
  801   100     35.49     0.054    0.1%
  821   100     35.38     0.059    0.1%
  841   100     35.41     0.043    0.1%
  861   100     35.53     0.076    0.2%
  881   100     35.51     0.112    0.3%
  901   100     35.81     0.105    0.2%
  921   100     35.73       0.1    0.2%
  941   100     35.91     0.106    0.2%
  961   100      35.9     0.048    0.1%
  981   100     35.99     0.042    0.1%
 1001   100        36     0.086    0.2%
 1021   100     36.01     0.069    0.1%
 1024     1     26.54     0.057    0.2%
 1024     2     26.78      0.07    0.2%
 1024     3     26.66     0.065    0.2%
 1024     4     26.78      0.05    0.1%
 1024     5     27.03     0.043    0.1%
 1024     6     26.97     0.093    0.3%
 1024     7     27.14     0.064    0.2%
 1024     8     27.42     0.092    0.3%
 1024     9     27.33     0.064    0.2%
 1024    10     27.55      0.07    0.2%
 1024    11     27.62     0.087    0.3%
 1024    12     27.76     0.111    0.3%
 1024    13      27.9     0.076    0.2%
 1024    14     27.98     0.057    0.2%
 1024    15     28.05     0.081    0.2%
 1024    16      28.2     0.071    0.2%
 1024    17     28.08     0.053    0.1%
 1024    18     28.42     0.075    0.2%
 1024    19     28.39     0.077    0.2%
 1024    20     28.41      0.05    0.1%
 1024    21     28.39     0.067    0.2%
 1024    22     28.64     0.048    0.1%
 1024    23     28.66     0.101    0.3%
 1024    24     28.83     0.084    0.2%
 1024    25     28.78     0.052    0.1%
 1024    26     28.92      0.04    0.1%
 1024    27     28.95     0.067    0.2%
 1024    28     28.97     0.045    0.1%
 1024    29     29.08     0.062    0.2%
 1024    30     29.25     0.047    0.1%
 1024    31      29.2      0.08    0.2%
 1024    32     29.57     0.065    0.2%
 1024    33     30.07     0.071    0.2%
 1024    34     29.82     0.064    0.2%
 1024    35      30.2     0.086    0.2%
 1024    36     30.31     0.055    0.1%
 1024    37      30.2     0.057    0.1%
 1024    38     30.46     0.075    0.2%
 1024    39     30.39     0.111    0.3%
 1024    40     30.89     0.083    0.2%
 1024    41     30.91     0.058    0.1%
 1024    42     30.91     0.068    0.2%
 1024    43     31.16     0.042    0.1%
 1024    44     31.17     0.086    0.2%
 1024    45     31.11     0.069    0.2%
 1024    46     31.36     0.075    0.2%
 1024    47     31.36     0.091    0.2%
 1024    48     31.46     0.126    0.4%
 1024    49     31.24     0.114    0.3%
 1024    50      31.6     0.083    0.2%
 1024    51     31.77     0.039    0.1%
 1024    52     31.63     0.151    0.4%
 1024    53     31.89     0.215    0.6%
 1024    54     31.95     0.088    0.2%
 1024    55     32.14     0.092    0.2%
 1024    56      31.9     0.065    0.2%
 1024    57     32.35     0.057    0.1%
 1024    58     32.36     0.053    0.1%
 1024    59     32.49     0.063    0.1%
 1024    60     32.29     0.059    0.1%
 1024    61     32.47     0.127    0.3%
 1024    62     32.79     0.063    0.1%
 1024    63     32.71     0.049    0.1%
 1024    64     32.74     0.075    0.2%
 1024    65     33.13     0.081    0.2%
 1024    66     33.01      0.09    0.2%
 1024    67     33.08     0.048    0.1%
 1024    68     33.14     0.067    0.2%
 1024    69     33.26     0.049    0.1%
 1024    70     33.48     0.084    0.2%
 1024    71     33.48     0.075    0.2%
 1024    72     33.56     0.107    0.3%
 1024    73     33.45     0.085    0.2%
 1024    74      33.8      0.06    0.1%
 1024    75      33.7     0.126    0.3%
 1024    76     34.01     0.102    0.2%
 1024    77        34     0.063    0.1%
 1024    78     34.24     0.057    0.1%
 1024    79     34.12     0.067    0.1%
 1024    80     34.33     0.065    0.1%
 1024    81     34.36     0.073    0.2%
 1024    82     34.76     0.084    0.2%
 1024    83     34.78     0.082    0.2%
 1024    84     34.75     0.065    0.1%
 1024    85      34.8     0.081    0.2%
 1024    86      34.9     0.097    0.2%
 1024    87     34.78     0.103    0.2%
 1024    88     35.05     0.081    0.2%
 1024    89     35.04     0.059    0.1%
 1024    90     35.27     0.098    0.2%
 1024    91     35.14     0.107    0.3%
 1024    92      35.5     0.106    0.2%
 1024    93     35.51     0.097    0.2%
 1024    94     35.55     0.087    0.2%
 1024    95     35.54     0.097    0.2%
 1024    96     35.94     0.108    0.3%
 1024    97     36.19     0.085    0.2%
 1024    98     35.96     0.072    0.2%
 1024    99      36.2     0.088    0.2%
 1024   100     36.12     0.048    0.1%

Quality and confidence:
param     error
b             0
m             0

Model:
Time ~=    23.44
    + b    0.003
    + m    0.096
              µs

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

Model:
Time ~=    27.93
    + b    0.002
    + m    0.186
              µs

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

Data points distribution:
    b     m   mean µs  sigma µs       %
    1   100     46.24     0.142    0.3%
   21   100      46.6     0.111    0.2%
   41   100     46.57     0.105    0.2%
   61   100     46.77     0.086    0.1%
   81   100     46.98     0.067    0.1%
  101   100     47.09     0.129    0.2%
  121   100     46.97     0.102    0.2%
  141   100     48.15     0.203    0.4%
  161   100     47.15     0.147    0.3%
  181   100     47.12     0.093    0.1%
  201   100     47.08     0.086    0.1%
  221   100      47.2     0.107    0.2%
  241   100     47.27     0.113    0.2%
  261   100     47.37     0.038    0.0%
  281   100     48.35     0.124    0.2%
  301   100     47.57     0.092    0.1%
  321   100     47.38     0.102    0.2%
  341   100     47.47      0.08    0.1%
  361   100     47.67     0.049    0.1%
  381   100     47.82     0.095    0.1%
  401   100     47.76      0.11    0.2%
  421   100     47.83      0.06    0.1%
  441   100     47.92     0.124    0.2%
  461   100     47.89     0.085    0.1%
  481   100     48.02     0.128    0.2%
  501   100     47.98     0.053    0.1%
  521   100     48.18     0.067    0.1%
  541   100     48.13     0.098    0.2%
  561   100     48.13     0.105    0.2%
  581   100     48.26     0.091    0.1%
  601   100     48.23     0.102    0.2%
  621   100     48.32     0.108    0.2%
  641   100      48.4     0.072    0.1%
  661   100     48.59     0.046    0.0%
  681   100     48.69     0.132    0.2%
  701   100      48.6     0.088    0.1%
  721   100     48.68     0.076    0.1%
  741   100     49.02     0.383    0.7%
  761   100     48.51     0.069    0.1%
  781   100     48.88     0.121    0.2%
  801   100     48.86     0.081    0.1%
  821   100     48.93     0.079    0.1%
  841   100     48.89     0.079    0.1%
  861   100     49.03     0.077    0.1%
  881   100     49.06     0.093    0.1%
  901   100     49.25     0.152    0.3%
  921   100     49.23      0.07    0.1%
  941   100      49.4     0.123    0.2%
  961   100     49.44     0.107    0.2%
  981   100     49.49     0.089    0.1%
 1001   100     49.35     0.118    0.2%
 1021   100     49.57     0.076    0.1%
 1024     1     31.28     0.079    0.2%
 1024     2     31.86     0.098    0.3%
 1024     3     31.83     0.093    0.2%
 1024     4     31.99     0.062    0.1%
 1024     5     32.24     0.142    0.4%
 1024     6     32.34     0.087    0.2%
 1024     7     32.49     0.077    0.2%
 1024     8     32.82     0.075    0.2%
 1024     9     32.76     0.077    0.2%
 1024    10     33.26     0.056    0.1%
 1024    11     33.38     0.064    0.1%
 1024    12      33.5     0.077    0.2%
 1024    13     33.63     0.059    0.1%
 1024    14      34.1     0.077    0.2%
 1024    15     33.95     0.067    0.1%
 1024    16     34.36      0.07    0.2%
 1024    17     34.25     0.083    0.2%
 1024    18     34.73     0.053    0.1%
 1024    19     34.63     0.116    0.3%
 1024    20     34.95     0.076    0.2%
 1024    21     34.75     0.116    0.3%
 1024    22     35.18     0.075    0.2%
 1024    23     35.34     0.027    0.0%
 1024    24     35.52     0.076    0.2%
 1024    25     35.75     0.057    0.1%
 1024    26     36.04     0.052    0.1%
 1024    27     36.04     0.109    0.3%
 1024    28      36.1     0.084    0.2%
 1024    29     36.42     0.043    0.1%
 1024    30      36.5     0.036    0.0%
 1024    31     36.67     0.072    0.1%
 1024    32     37.19     0.099    0.2%
 1024    33      38.1     0.168    0.4%
 1024    34     37.82     0.057    0.1%
 1024    35     38.32     0.068    0.1%
 1024    36      38.6     0.143    0.3%
 1024    37     38.45     0.084    0.2%
 1024    38     38.84     0.134    0.3%
 1024    39     39.03       0.1    0.2%
 1024    40     39.41     0.103    0.2%
 1024    41     39.54     0.061    0.1%
 1024    42     39.63     0.055    0.1%
 1024    43     39.82     0.147    0.3%
 1024    44     40.07     0.114    0.2%
 1024    45     40.08     0.095    0.2%
 1024    46     40.33     0.083    0.2%
 1024    47     40.55     0.064    0.1%
 1024    48     40.84     0.165    0.4%
 1024    49     40.68     0.054    0.1%
 1024    50     41.02     0.114    0.2%
 1024    51     41.27     0.073    0.1%
 1024    52     40.94     0.114    0.2%
 1024    53     41.32     0.093    0.2%
 1024    54     41.65     0.075    0.1%
 1024    55     41.99     0.078    0.1%
 1024    56     41.81     0.065    0.1%
 1024    57      42.2      0.13    0.3%
 1024    58     42.48      0.07    0.1%
 1024    59     42.48     0.048    0.1%
 1024    60     42.57     0.064    0.1%
 1024    61     42.85      0.11    0.2%
 1024    62      43.3     0.056    0.1%
 1024    63     43.33     0.081    0.1%
 1024    64     43.22     0.035    0.0%
 1024    65     43.74     0.054    0.1%
 1024    66     43.88     0.101    0.2%
 1024    67      44.1      0.06    0.1%
 1024    68     44.06     0.095    0.2%
 1024    69     44.44     0.158    0.3%
 1024    70     44.59     0.074    0.1%
 1024    71     44.59     0.044    0.0%
 1024    72     44.74     0.075    0.1%
 1024    73     45.06     0.133    0.2%
 1024    74     45.25     0.103    0.2%
 1024    75     45.27     0.083    0.1%
 1024    76     45.93     0.101    0.2%
 1024    77      45.6     0.034    0.0%
 1024    78     45.97     0.103    0.2%
 1024    79     45.83     0.099    0.2%
 1024    80      46.3     0.096    0.2%
 1024    81     46.26     0.102    0.2%
 1024    82     46.86     0.094    0.2%
 1024    83     46.78     0.072    0.1%
 1024    84     47.03     0.117    0.2%
 1024    85      47.2     0.125    0.2%
 1024    86     47.49     0.103    0.2%
 1024    87     47.46     0.092    0.1%
 1024    88     47.57     0.095    0.1%
 1024    89      47.5     0.091    0.1%
 1024    90      47.9     0.051    0.1%
 1024    91     47.94     0.094    0.1%
 1024    92     48.34     0.096    0.1%
 1024    93     48.68     0.166    0.3%
 1024    94      48.7     0.065    0.1%
 1024    95     48.77     0.091    0.1%
 1024    96     49.37     0.096    0.1%
 1024    97     49.46     0.067    0.1%
 1024    98     49.53     0.054    0.1%
 1024    99     49.71     0.117    0.2%
 1024   100     49.71     0.127    0.2%

Quality and confidence:
param     error
b             0
m             0

Model:
Time ~=    28.09
    + b    0.003
    + m    0.184
              µs

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

Model:
Time ~=    44.51
    + b    0.005
    + m    0.086
    + p    0.534
              µs

Reads = 4 + (0 * b) + (0 * m) + (0 * p)
Writes = 4 + (0 * b) + (0 * m) + (0 * p)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    b     m     p   mean µs  sigma µs       %
    1   100   100     106.2      0.15    0.1%
   21   100   100     106.8     0.279    0.2%
   41   100   100     107.6     0.157    0.1%
   61   100   100       107     0.191    0.1%
   81   100   100     108.1     0.244    0.2%
  101   100   100     108.2     0.293    0.2%
  121   100   100     107.6     0.162    0.1%
  141   100   100     107.3     0.235    0.2%
  161   100   100     107.7     0.227    0.2%
  181   100   100     107.2     0.201    0.1%
  201   100   100     106.5     0.193    0.1%
  221   100   100     107.1     0.171    0.1%
  241   100   100     107.1     0.177    0.1%
  261   100   100     107.1     0.185    0.1%
  281   100   100     107.5      0.17    0.1%
  301   100   100     107.3      0.13    0.1%
  321   100   100     108.1     0.306    0.2%
  341   100   100       108     0.124    0.1%
  361   100   100     108.2     0.246    0.2%
  381   100   100     108.6     0.239    0.2%
  401   100   100     108.5     0.225    0.2%
  421   100   100       109     0.226    0.2%
  441   100   100     108.9     0.192    0.1%
  461   100   100     108.5      0.19    0.1%
  481   100   100     108.9     0.243    0.2%
  501   100   100     109.3     0.239    0.2%
  521   100   100     108.9     0.138    0.1%
  541   100   100     108.9     0.141    0.1%
  561   100   100     108.7     0.297    0.2%
  581   100   100     108.9     0.128    0.1%
  601   100   100     109.4     0.181    0.1%
  621   100   100     109.1     0.466    0.4%
  641   100   100     109.3     0.174    0.1%
  661   100   100     109.7     0.238    0.2%
  681   100   100     110.3     0.217    0.1%
  701   100   100     110.5     0.235    0.2%
  721   100   100     110.6     0.121    0.1%
  741   100   100     110.6     0.176    0.1%
  761   100   100     110.8     0.184    0.1%
  781   100   100     111.5     0.384    0.3%
  801   100   100     110.6     0.183    0.1%
  821   100   100     111.4     0.273    0.2%
  841   100   100       111     0.303    0.2%
  861   100   100     111.5     0.255    0.2%
  881   100   100     110.2     1.616    1.4%
  901   100   100     107.5     0.185    0.1%
  921   100   100     108.7     4.215    3.8%
  941   100   100     103.2     0.426    0.4%
  961   100   100     112.6     0.125    0.1%
  981   100   100     109.7     4.205    3.8%
 1001   100   100     103.3     0.329    0.3%
 1021   100   100     110.2      4.46    4.0%
 1024     2   100       100     4.669    4.6%
 1024     3   100      96.2     2.707    2.8%
 1024     4   100     97.02      4.01    4.1%
 1024     5   100     95.14     0.738    0.7%
 1024     6   100     99.15      4.86    4.9%
 1024     7   100     95.24     0.379    0.3%
 1024     8   100     97.32     3.789    3.8%
 1024     9   100     98.41     4.334    4.4%
 1024    10   100     96.89     2.834    2.9%
 1024    11   100     97.64     3.689    3.7%
 1024    12   100     98.08     3.953    4.0%
 1024    13   100      98.3      4.33    4.4%
 1024    14   100     95.53     0.172    0.1%
 1024    15   100     100.6     4.825    4.7%
 1024    16   100     96.63     3.059    3.1%
 1024    17   100     99.82     4.762    4.7%
 1024    18   100     97.96     3.891    3.9%
 1024    19   100     103.5       3.9    3.7%
 1024    20   100     99.52     4.406    4.4%
 1024    21   100     98.24     3.861    3.9%
 1024    22   100     100.6     4.809    4.7%
 1024    23   100     105.7     2.978    2.8%
 1024    24   100     100.7     4.636    4.5%
 1024    25   100     102.6     4.562    4.4%
 1024    26   100     105.4     2.183    2.0%
 1024    27   100     100.2     4.615    4.6%
 1024    28   100       101     4.851    4.8%
 1024    29   100       101     4.582    4.5%
 1024    30   100     105.3     4.009    3.8%
 1024    31   100     102.1     4.954    4.8%
 1024    32   100      98.4     2.658    2.7%
 1024    33   100     97.28     0.469    0.4%
 1024    34   100      99.7     3.751    3.7%
 1024    35   100     107.7     0.233    0.2%
 1024    36   100     107.1     0.379    0.3%
 1024    37   100     102.8     4.738    4.6%
 1024    38   100     101.7     4.633    4.5%
 1024    39   100     102.3     4.324    4.2%
 1024    40   100     105.3     3.637    3.4%
 1024    41   100       101     4.443    4.3%
 1024    42   100       101     4.218    4.1%
 1024    43   100     107.5     2.699    2.5%
 1024    44   100     102.8     4.284    4.1%
 1024    45   100       100     2.725    2.7%
 1024    46   100     102.8      4.63    4.5%
 1024    47   100     101.6     4.109    4.0%
 1024    48   100     99.98     2.668    2.6%
 1024    49   100      99.1     0.329    0.3%
 1024    50   100     99.01     0.248    0.2%
 1024    51   100       105     4.656    4.4%
 1024    52   100     102.2     4.329    4.2%
 1024    53   100     102.6     4.129    4.0%
 1024    54   100     99.48      0.25    0.2%
 1024    55   100     99.49     0.146    0.1%
 1024    56   100     99.69     0.385    0.3%
 1024    57   100       104     4.961    4.7%
 1024    58   100       100     0.315    0.3%
 1024    59   100     100.8     2.757    2.7%
 1024    60   100     99.76      0.21    0.2%
 1024    61   100     100.5     0.786    0.7%
 1024    62   100     100.8     2.744    2.7%
 1024    63   100     104.7      4.33    4.1%
 1024    64   100     100.3      0.42    0.4%
 1024    65   100     100.3     0.407    0.4%
 1024    66   100     103.4       4.6    4.4%
 1024    67   100     104.4     4.398    4.2%
 1024    68   100     101.6      2.88    2.8%
 1024    69   100       104     4.316    4.1%
 1024    70   100     101.2     0.395    0.3%
 1024    71   100     102.1     2.702    2.6%
 1024    72   100       103     3.629    3.5%
 1024    73   100     105.3     4.389    4.1%
 1024    74   100     101.2     0.365    0.3%
 1024    75   100     105.5     4.537    4.2%
 1024    76   100     102.5     2.847    2.7%
 1024    77   100     102.5     2.722    2.6%
 1024    78   100     101.6     0.436    0.4%
 1024    79   100     101.4     0.552    0.5%
 1024    80   100     106.7     4.525    4.2%
 1024    81   100     102.9     2.802    2.7%
 1024    82   100     104.8     4.301    4.1%
 1024    83   100     105.5     4.276    4.0%
 1024    84   100     102.1     0.378    0.3%
 1024    85   100     103.4     2.888    2.7%
 1024    86   100     102.6      0.37    0.3%
 1024    87   100     105.5      4.33    4.1%
 1024    88   100     102.3     0.328    0.3%
 1024    89   100     105.7     4.488    4.2%
 1024    90   100     103.4     2.901    2.8%
 1024    91   100       102      0.27    0.2%
 1024    92   100     105.9     4.578    4.3%
 1024    93   100     102.9     0.366    0.3%
 1024    94   100     103.9     2.716    2.6%
 1024    95   100     103.6     1.077    1.0%
 1024    96   100     102.7      0.23    0.2%
 1024    97   100     105.3     3.726    3.5%
 1024    98   100       103     0.339    0.3%
 1024    99   100     102.8       0.2    0.1%
 1024   100     1     57.32     0.121    0.2%
 1024   100     2     59.87      0.13    0.2%
 1024   100     3     60.75     0.082    0.1%
 1024   100     4     61.32     0.107    0.1%
 1024   100     5     62.83     0.106    0.1%
 1024   100     6     63.29     0.155    0.2%
 1024   100     7      63.6     0.058    0.0%
 1024   100     8     64.72     0.107    0.1%
 1024   100     9     65.67     0.132    0.2%
 1024   100    10      66.4     0.097    0.1%
 1024   100    11      66.6     0.119    0.1%
 1024   100    12     67.31     0.089    0.1%
 1024   100    13     67.91     0.122    0.1%
 1024   100    14     69.35     0.093    0.1%
 1024   100    15     69.16     0.146    0.2%
 1024   100    16     69.37     0.088    0.1%
 1024   100    17     71.23     0.139    0.1%
 1024   100    18      71.2     0.049    0.0%
 1024   100    19     72.49     0.167    0.2%
 1024   100    20     72.96      0.14    0.1%
 1024   100    21     73.35     0.147    0.2%
 1024   100    22     74.26      0.11    0.1%
 1024   100    23     75.07     0.257    0.3%
 1024   100    24     75.11     0.157    0.2%
 1024   100    25     75.49     0.168    0.2%
 1024   100    26     76.36     0.126    0.1%
 1024   100    27      76.7     0.101    0.1%
 1024   100    28     76.56     0.168    0.2%
 1024   100    29     77.74      0.18    0.2%
 1024   100    30     78.13     0.152    0.1%
 1024   100    31     78.56     0.259    0.3%
 1024   100    32     79.05      0.12    0.1%
 1024   100    33      80.4     0.193    0.2%
 1024   100    34     81.16     0.216    0.2%
 1024   100    35     81.65      0.16    0.1%
 1024   100    36     82.09      0.12    0.1%
 1024   100    37     82.64     0.232    0.2%
 1024   100    38     83.25     0.158    0.1%
 1024   100    39     83.99     0.177    0.2%
 1024   100    40     84.54     0.122    0.1%
 1024   100    41     84.38      0.17    0.2%
 1024   100    42     85.81     0.199    0.2%
 1024   100    43      85.5     0.217    0.2%
 1024   100    44     86.46     0.206    0.2%
 1024   100    45     86.65     0.147    0.1%
 1024   100    46     87.35     0.173    0.1%
 1024   100    47     87.54     0.144    0.1%
 1024   100    48     87.97     0.186    0.2%
 1024   100    49     88.89     0.143    0.1%
 1024   100    50     89.41     0.245    0.2%
 1024   100    51     89.81     0.129    0.1%
 1024   100    52     90.76     0.221    0.2%
 1024   100    53     89.65     0.218    0.2%
 1024   100    54      91.9     0.241    0.2%
 1024   100    55     92.36     0.146    0.1%
 1024   100    56     91.93     0.272    0.2%
 1024   100    57     92.66     0.129    0.1%
 1024   100    58     93.14     0.262    0.2%
 1024   100    59     94.43      0.17    0.1%
 1024   100    60     93.96     0.099    0.1%
 1024   100    61     94.77     0.238    0.2%
 1024   100    62     95.26      0.22    0.2%
 1024   100    63     95.85     0.199    0.2%
 1024   100    64     96.31     0.184    0.1%
 1024   100    65     96.45     0.131    0.1%
 1024   100    66     96.93     0.141    0.1%
 1024   100    67     97.31     0.207    0.2%
 1024   100    68      99.1     0.158    0.1%
 1024   100    69     99.67     0.133    0.1%
 1024   100    70     99.92     0.225    0.2%
 1024   100    71     100.5     0.125    0.1%
 1024   100    72     100.7     0.122    0.1%
 1024   100    73     101.2     0.148    0.1%
 1024   100    74     101.8      0.15    0.1%
 1024   100    75     102.3     0.219    0.2%
 1024   100    76     102.7     0.237    0.2%
 1024   100    77     103.2     0.215    0.2%
 1024   100    78     103.5     0.162    0.1%
 1024   100    79     104.1     0.107    0.1%
 1024   100    80     104.6     0.093    0.0%
 1024   100    81     104.2     0.133    0.1%
 1024   100    82     105.4     0.285    0.2%
 1024   100    83     106.1     0.217    0.2%
 1024   100    84       106     0.174    0.1%
 1024   100    85     107.2     0.134    0.1%
 1024   100    86     107.1     0.195    0.1%
 1024   100    87     107.5     0.147    0.1%
 1024   100    88       108      0.14    0.1%
 1024   100    89     108.3     0.108    0.0%
 1024   100    90       109     0.185    0.1%
 1024   100    91     109.5      0.17    0.1%
 1024   100    92       110      0.15    0.1%
 1024   100    93     110.3     0.199    0.1%
 1024   100    94     110.4     0.233    0.2%
 1024   100    95     114.5     0.522    0.4%
 1024   100    96     115.2     0.394    0.3%
 1024   100    97     112.4     0.296    0.2%
 1024   100    98     113.4     0.122    0.1%
 1024   100    99     112.9     0.229    0.2%
 1024   100   100     110.7     3.891    3.5%

Quality and confidence:
param     error
b             0
m         0.003
p         0.003

Model:
Time ~=       47
    + b    0.003
    + m    0.144
    + p    0.459
              µs

Reads = 4 + (0 * b) + (0 * m) + (0 * p)
Writes = 4 + (0 * b) + (0 * m) + (0 * p)
Pallet: "pallet_collective", Extrinsic: "vote", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    39.79
    + m    0.221
              µs

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

Data points distribution:
    m   mean µs  sigma µs       %
    5     40.01     0.155    0.3%
    6     40.31      0.19    0.4%
    7     40.93     0.146    0.3%
    8     41.33     0.186    0.4%
    9     41.65     0.139    0.3%
   10     41.46     0.167    0.4%
   11      41.9     0.161    0.3%
   12     42.47     0.133    0.3%
   13     42.65     0.226    0.5%
   14     43.03     0.174    0.4%
   15     43.27     0.129    0.2%
   16     42.96     0.165    0.3%
   17     43.34     0.079    0.1%
   18      43.4     0.124    0.2%
   19     43.59     0.194    0.4%
   20     43.91     0.114    0.2%
   21      44.2     0.156    0.3%
   22     44.25     0.122    0.2%
   23     44.77     0.297    0.6%
   24     45.13     0.139    0.3%
   25     45.02       0.2    0.4%
   26     45.16     0.166    0.3%
   27     45.62     0.129    0.2%
   28     45.97     0.206    0.4%
   29     46.11     0.144    0.3%
   30     46.43     0.114    0.2%
   31     46.58     0.325    0.6%
   32     46.43     0.327    0.7%
   33     47.87     0.142    0.2%
   34     47.74     0.255    0.5%
   35     47.79     0.151    0.3%
   36     48.16     0.163    0.3%
   37     48.07     0.119    0.2%
   38     48.35     0.251    0.5%
   39     48.85     0.234    0.4%
   40     48.74     0.184    0.3%
   41     49.17     0.085    0.1%
   42     49.24     0.119    0.2%
   43     50.36     0.177    0.3%
   44     50.26     0.171    0.3%
   45     50.53      0.23    0.4%
   46     50.72     0.244    0.4%
   47      50.4     0.175    0.3%
   48     50.82     0.177    0.3%
   49     51.27     0.161    0.3%
   50     51.15      0.13    0.2%
   51     51.64     0.123    0.2%
   52     51.55      0.17    0.3%
   53      51.7     0.121    0.2%
   54     52.35     0.205    0.3%
   55     52.48     0.111    0.2%
   56     53.13     0.377    0.7%
   57     52.86     0.089    0.1%
   58     52.88     0.141    0.2%
   59     53.32     0.095    0.1%
   60      53.1     0.152    0.2%
   61     53.47     0.144    0.2%
   62     53.65     0.216    0.4%
   63     53.99     0.256    0.4%
   64     53.62     0.231    0.4%
   65     54.35     0.158    0.2%
   66     54.54     0.145    0.2%
   67     54.32     0.176    0.3%
   68      54.7      0.15    0.2%
   69     54.47     0.134    0.2%
   70     54.99       0.2    0.3%
   71     55.24     0.198    0.3%
   72     55.42     0.194    0.3%
   73     55.47     0.218    0.3%
   74      55.8     0.273    0.4%
   75     55.82     0.253    0.4%
   76     56.46     0.346    0.6%
   77     56.17     0.231    0.4%
   78     55.85     0.168    0.3%
   79     56.52     0.163    0.2%
   80     56.47     0.073    0.1%
   81     56.65     0.177    0.3%
   82     56.87     0.162    0.2%
   83     56.95      0.18    0.3%
   84     57.55     0.192    0.3%
   85      57.7     0.172    0.2%
   86     59.21     0.186    0.3%
   87     59.14      0.14    0.2%
   88     59.22     0.118    0.1%
   89     59.71      0.19    0.3%
   90     59.43     0.195    0.3%
   91     59.88     0.134    0.2%
   92     60.57     0.217    0.3%
   93     60.55     0.073    0.1%
   94     60.56     0.192    0.3%
   95     60.93     0.133    0.2%
   96     61.05     0.322    0.5%
   97      61.2     0.214    0.3%
   98     61.69      0.47    0.7%
   99      61.7     0.198    0.3%
  100     61.94     0.251    0.4%

Quality and confidence:
param     error
m             0

Model:
Time ~=     39.8
    + m     0.22
              µs

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

Model:
Time ~=    45.95
    + m    0.189
    + p    0.358
              µs

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

Data points distribution:
    m     p   mean µs  sigma µs       %
    4   100     82.61      0.16    0.1%
    5   100     82.86     0.119    0.1%
    6   100      83.1     0.111    0.1%
    7   100     83.08     0.155    0.1%
    8   100     83.33     0.233    0.2%
    9   100     83.05     0.167    0.2%
   10   100     83.57     0.117    0.1%
   11   100     83.68     0.126    0.1%
   12   100     83.73     0.153    0.1%
   13   100     83.78     0.174    0.2%
   14   100     83.94     0.134    0.1%
   15   100     84.32     0.176    0.2%
   16   100     84.57     0.151    0.1%
   17   100     85.04     0.138    0.1%
   18   100     85.18      0.21    0.2%
   19   100     85.41     0.163    0.1%
   20   100     85.45     0.154    0.1%
   21   100     85.79     0.113    0.1%
   22   100     85.41     0.105    0.1%
   23   100     86.06     0.136    0.1%
   24   100     85.97     0.089    0.1%
   25   100     86.24     0.153    0.1%
   26   100     86.12      0.14    0.1%
   27   100      86.5     0.117    0.1%
   28   100     86.51     0.102    0.1%
   29   100     86.66     0.188    0.2%
   30   100      86.9     0.141    0.1%
   31   100     87.27     0.165    0.1%
   32   100     87.96     0.129    0.1%
   33   100     92.11     0.198    0.2%
   34   100     88.79     0.077    0.0%
   35   100     88.95     0.097    0.1%
   36   100     89.28     0.154    0.1%
   37   100     89.67     0.151    0.1%
   38   100     89.71     0.142    0.1%
   39   100     89.75     0.157    0.1%
   40   100     89.83     0.186    0.2%
   41   100     89.66     0.054    0.0%
   42   100     90.31     0.117    0.1%
   43   100      90.3      0.11    0.1%
   44   100     90.43     0.157    0.1%
   45   100     90.62     0.147    0.1%
   46   100     90.74     0.147    0.1%
   47   100      90.7     0.138    0.1%
   48   100     91.15     0.081    0.0%
   49   100     91.78     0.199    0.2%
   50   100     91.95     0.145    0.1%
   51   100     91.98     0.036    0.0%
   52   100     92.42       0.2    0.2%
   53   100     92.25     0.211    0.2%
   54   100     92.13     0.201    0.2%
   55   100     92.56     0.213    0.2%
   56   100     92.97     0.131    0.1%
   57   100     92.84     0.087    0.0%
   58   100     93.21     0.168    0.1%
   59   100     93.21     0.122    0.1%
   60   100     92.99     0.111    0.1%
   61   100     93.29     0.146    0.1%
   62   100     93.67     0.139    0.1%
   63   100     93.57     0.159    0.1%
   64   100     93.93     0.131    0.1%
   65   100     94.15     0.101    0.1%
   66   100      94.1     0.121    0.1%
   67   100     94.39     0.186    0.1%
   68   100     94.61     0.119    0.1%
   69   100     94.81     0.084    0.0%
   70   100     94.71     0.066    0.0%
   71   100     95.22      0.09    0.0%
   72   100     95.49     0.148    0.1%
   73   100     95.74     0.122    0.1%
   74   100     96.03     0.194    0.2%
   75   100     96.08      0.16    0.1%
   76   100     96.32     0.128    0.1%
   77   100     96.45     0.271    0.2%
   78   100     96.84     0.156    0.1%
   79   100     96.77     0.127    0.1%
   80   100     97.08     0.111    0.1%
   81   100     97.44     0.204    0.2%
   82   100     97.26     0.086    0.0%
   83   100     97.53     0.168    0.1%
   84   100      97.8     0.088    0.0%
   85   100     98.04      0.13    0.1%
   86   100        98     0.155    0.1%
   87   100     98.11      0.09    0.0%
   88   100     98.38     0.101    0.1%
   89   100     98.74       0.2    0.2%
   90   100     98.63     0.185    0.1%
   91   100     98.98     0.109    0.1%
   92   100     101.3     1.546    1.5%
   93   100     99.71     0.172    0.1%
   94   100     99.46     0.104    0.1%
   95   100     99.71     0.232    0.2%
   96   100     99.25     0.091    0.0%
   97   100     100.1     0.118    0.1%
   98   100     100.2      0.16    0.1%
   99   100     100.5     0.229    0.2%
  100     1     62.58     0.168    0.2%
  100     2     64.61     0.131    0.2%
  100     3     65.11     0.241    0.3%
  100     4     65.44     0.192    0.2%
  100     5     66.27     0.218    0.3%
  100     6      66.4     0.109    0.1%
  100     7     66.82     0.263    0.3%
  100     8     67.23     0.087    0.1%
  100     9     67.81     0.125    0.1%
  100    10     68.57     0.158    0.2%
  100    11     69.26     0.125    0.1%
  100    12     69.71     0.197    0.2%
  100    13      69.6     0.099    0.1%
  100    14     70.31     0.252    0.3%
  100    15     70.79     0.135    0.1%
  100    16     71.12     0.131    0.1%
  100    17     71.71      0.14    0.1%
  100    18     72.46     0.385    0.5%
  100    19     72.58     0.172    0.2%
  100    20     72.96     0.154    0.2%
  100    21     72.76     0.156    0.2%
  100    22     73.51     0.101    0.1%
  100    23     74.02     0.193    0.2%
  100    24      74.4     0.161    0.2%
  100    25     74.62     0.145    0.1%
  100    26     75.15     0.235    0.3%
  100    27     75.52     0.547    0.7%
  100    28     75.42     0.159    0.2%
  100    29     76.08     0.204    0.2%
  100    30     76.31     0.401    0.5%
  100    31     78.55      1.39    1.7%
  100    32     79.97     0.502    0.6%
  100    33     80.25     0.718    0.8%
  100    34     79.07     0.138    0.1%
  100    35     79.34     0.151    0.1%
  100    36     78.99     0.151    0.1%
  100    37     79.54     0.135    0.1%
  100    38      79.9      0.12    0.1%
  100    39     80.32     0.146    0.1%
  100    40     81.02     0.273    0.3%
  100    41     80.82      0.12    0.1%
  100    42     81.71     0.202    0.2%
  100    43     82.04     0.221    0.2%
  100    44     82.14     0.079    0.0%
  100    45     82.62     0.139    0.1%
  100    46     82.85     0.151    0.1%
  100    47     83.36     0.268    0.3%
  100    48     83.03     0.161    0.1%
  100    49      83.7     0.054    0.0%
  100    50     83.54     0.107    0.1%
  100    51     84.29      0.23    0.2%
  100    52     84.54     0.193    0.2%
  100    53     84.96     0.103    0.1%
  100    54     85.23     0.138    0.1%
  100    55     85.48     0.167    0.1%
  100    56     85.62     0.173    0.2%
  100    57     86.13     0.107    0.1%
  100    58     86.49      0.16    0.1%
  100    59     86.89     0.176    0.2%
  100    60     87.08     0.157    0.1%
  100    61     87.51     0.168    0.1%
  100    62     87.69     0.164    0.1%
  100    63     88.21     0.163    0.1%
  100    64     88.51     0.143    0.1%
  100    65     88.46      0.09    0.1%
  100    66     88.94     0.138    0.1%
  100    67     89.29     0.117    0.1%
  100    68      89.4     0.155    0.1%
  100    69     90.82      0.12    0.1%
  100    70     91.46     0.169    0.1%
  100    71     91.63     0.721    0.7%
  100    72     91.71       0.1    0.1%
  100    73     92.89     0.118    0.1%
  100    74     93.27     0.128    0.1%
  100    75     92.45     0.072    0.0%
  100    76     92.73     0.106    0.1%
  100    77     93.65     0.129    0.1%
  100    78     93.62     0.238    0.2%
  100    79     94.07     0.165    0.1%
  100    80     94.62     0.107    0.1%
  100    81     94.96     0.119    0.1%
  100    82     94.73     0.091    0.0%
  100    83     95.05     0.167    0.1%
  100    84      95.4     0.204    0.2%
  100    85     95.86       0.1    0.1%
  100    86     96.22     0.153    0.1%
  100    87      96.5     0.109    0.1%
  100    88     96.95     0.107    0.1%
  100    89     97.11     0.085    0.0%
  100    90     97.24     0.157    0.1%
  100    91     97.78     0.101    0.1%
  100    92     98.65     0.098    0.0%
  100    93     98.48     0.089    0.0%
  100    94     98.81     0.157    0.1%
  100    95     99.32     0.124    0.1%
  100    96     99.79     0.106    0.1%
  100    97       100     0.135    0.1%
  100    98     100.2     0.285    0.2%
  100    99     100.5     0.178    0.1%
  100   100     100.3     0.163    0.1%

Quality and confidence:
param     error
m             0
p             0

Model:
Time ~=    46.01
    + m    0.196
    + p    0.356
              µs

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

Model:
Time ~=    62.77
    + b    0.002
    + m    0.185
    + p    0.513
              µs

Reads = 4 + (0 * b) + (0 * m) + (0 * p)
Writes = 3 + (0 * b) + (0 * m) + (0 * p)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    b     m     p   mean µs  sigma µs       %
    1   100   100       133     0.238    0.1%
   21   100   100     133.3     0.171    0.1%
   41   100   100       134     0.183    0.1%
   61   100   100     133.3     0.199    0.1%
   81   100   100     133.5     0.149    0.1%
  101   100   100     133.6     0.227    0.1%
  121   100   100     132.3     0.165    0.1%
  141   100   100     132.4     0.121    0.0%
  161   100   100     132.4     0.206    0.1%
  181   100   100     133.1     0.256    0.1%
  201   100   100     133.1     0.159    0.1%
  221   100   100     133.1     0.184    0.1%
  241   100   100       133     0.147    0.1%
  261   100   100     132.7     0.109    0.0%
  281   100   100     132.8     0.247    0.1%
  301   100   100     132.9     0.081    0.0%
  321   100   100     132.9     0.086    0.0%
  341   100   100     132.6     0.176    0.1%
  361   100   100     133.1     0.227    0.1%
  381   100   100     133.7     0.197    0.1%
  401   100   100     132.8     0.176    0.1%
  421   100   100     133.5     0.064    0.0%
  441   100   100     133.3     0.241    0.1%
  461   100   100     132.5     0.141    0.1%
  481   100   100     134.5     0.118    0.0%
  501   100   100     133.4     0.108    0.0%
  521   100   100     133.5     0.232    0.1%
  541   100   100     132.2     0.171    0.1%
  561   100   100       133     0.199    0.1%
  581   100   100     133.2     0.189    0.1%
  601   100   100     134.2      0.19    0.1%
  621   100   100     134.1     0.162    0.1%
  641   100   100     133.4     0.146    0.1%
  661   100   100     134.2      0.14    0.1%
  681   100   100     134.5     0.147    0.1%
  701   100   100     135.3     0.173    0.1%
  721   100   100       134     0.189    0.1%
  741   100   100     134.4     0.309    0.2%
  761   100   100     134.3     0.239    0.1%
  781   100   100     135.2     0.107    0.0%
  801   100   100     134.5     0.209    0.1%
  821   100   100     134.8      0.22    0.1%
  841   100   100     135.5     0.347    0.2%
  861   100   100     135.5     0.145    0.1%
  881   100   100     135.1     0.209    0.1%
  901   100   100     134.3     0.389    0.2%
  921   100   100     134.8      1.86    1.3%
  941   100   100       131     0.339    0.2%
  961   100   100     130.7     0.499    0.3%
  981   100   100     127.3     2.779    2.1%
 1001   100   100     135.7     0.343    0.2%
 1021   100   100     136.1     0.097    0.0%
 1024     4   100     118.9     0.125    0.1%
 1024     5   100     118.8     0.142    0.1%
 1024     6   100     119.2     0.381    0.3%
 1024     7   100     119.4      0.22    0.1%
 1024     8   100     119.3     0.218    0.1%
 1024     9   100     119.9     0.256    0.2%
 1024    10   100     119.8     0.195    0.1%
 1024    11   100       120     0.252    0.2%
 1024    12   100     120.1      0.32    0.2%
 1024    13   100       120     0.156    0.1%
 1024    14   100     120.1     0.208    0.1%
 1024    15   100     120.3     0.208    0.1%
 1024    16   100     120.1     0.178    0.1%
 1024    17   100       121     0.239    0.1%
 1024    18   100     120.5     0.176    0.1%
 1024    19   100     120.6     0.241    0.1%
 1024    20   100     120.8     0.193    0.1%
 1024    21   100     120.7     0.175    0.1%
 1024    22   100     121.3     0.131    0.1%
 1024    23   100     121.6     0.245    0.2%
 1024    24   100     121.2     0.241    0.1%
 1024    25   100     121.7     0.226    0.1%
 1024    26   100     121.8     0.339    0.2%
 1024    27   100     121.5       0.3    0.2%
 1024    28   100     122.3     0.208    0.1%
 1024    29   100     122.4     0.135    0.1%
 1024    30   100     122.6     0.115    0.0%
 1024    31   100     123.3     0.258    0.2%
 1024    32   100     123.5      0.21    0.1%
 1024    33   100     123.9     0.181    0.1%
 1024    34   100     123.9     0.244    0.1%
 1024    35   100     124.5     0.187    0.1%
 1024    36   100     124.7     0.355    0.2%
 1024    37   100     124.8     0.167    0.1%
 1024    38   100     125.1     0.161    0.1%
 1024    39   100     125.4     0.225    0.1%
 1024    40   100     125.4     0.237    0.1%
 1024    41   100     125.8     0.194    0.1%
 1024    42   100     125.6      0.12    0.0%
 1024    43   100     126.1     0.311    0.2%
 1024    44   100     126.1     0.236    0.1%
 1024    45   100     126.8     0.153    0.1%
 1024    46   100     127.3     0.276    0.2%
 1024    47   100     126.8     0.207    0.1%
 1024    48   100     127.2     0.168    0.1%
 1024    49   100     127.2     0.173    0.1%
 1024    50   100     127.7     0.301    0.2%
 1024    51   100     127.6     0.233    0.1%
 1024    52   100     127.3     0.186    0.1%
 1024    53   100     127.4     0.265    0.2%
 1024    54   100     128.2     0.216    0.1%
 1024    55   100     128.6     0.163    0.1%
 1024    56   100     128.6     0.311    0.2%
 1024    57   100     128.3     0.179    0.1%
 1024    58   100     128.6     0.234    0.1%
 1024    59   100     128.3      0.24    0.1%
 1024    60   100     129.4     0.304    0.2%
 1024    61   100     129.6     0.214    0.1%
 1024    62   100     129.5     0.163    0.1%
 1024    63   100     129.9     0.259    0.1%
 1024    64   100       129     0.242    0.1%
 1024    65   100     130.3     0.119    0.0%
 1024    66   100     130.3     0.181    0.1%
 1024    67   100     131.2     0.202    0.1%
 1024    68   100     130.2     0.162    0.1%
 1024    69   100     130.9     0.155    0.1%
 1024    70   100       131     0.325    0.2%
 1024    71   100     130.9      0.23    0.1%
 1024    72   100     130.8     0.146    0.1%
 1024    73   100     131.2     0.187    0.1%
 1024    74   100       131     0.148    0.1%
 1024    75   100       131     0.109    0.0%
 1024    76   100     131.4     0.205    0.1%
 1024    77   100     132.2     0.325    0.2%
 1024    78   100       132      0.27    0.2%
 1024    79   100     132.3     0.167    0.1%
 1024    80   100     132.4     0.232    0.1%
 1024    81   100     132.5     0.176    0.1%
 1024    82   100     133.5     0.242    0.1%
 1024    83   100     133.3     0.247    0.1%
 1024    84   100     133.8     0.192    0.1%
 1024    85   100     134.6     0.908    0.6%
 1024    86   100     135.7     1.672    1.2%
 1024    87   100     133.7     0.323    0.2%
 1024    88   100     133.8     0.133    0.0%
 1024    89   100     134.4     0.223    0.1%
 1024    90   100     134.4      0.24    0.1%
 1024    91   100     134.3     0.328    0.2%
 1024    92   100     134.5     0.353    0.2%
 1024    93   100     135.2     0.188    0.1%
 1024    94   100     135.1     0.269    0.1%
 1024    95   100     135.2     0.237    0.1%
 1024    96   100     135.5     0.254    0.1%
 1024    97   100     135.2     0.322    0.2%
 1024    98   100     135.7     0.261    0.1%
 1024    99   100     135.8     0.242    0.1%
 1024   100     1      83.3     0.195    0.2%
 1024   100     2     85.15     0.237    0.2%
 1024   100     3     86.07     0.142    0.1%
 1024   100     4     87.01     0.306    0.3%
 1024   100     5     87.31     0.134    0.1%
 1024   100     6     88.13      0.18    0.2%
 1024   100     7     89.46     0.335    0.3%
 1024   100     8     89.58     0.164    0.1%
 1024   100     9     89.66      0.23    0.2%
 1024   100    10     90.92     0.295    0.3%
 1024   100    11     91.65     0.242    0.2%
 1024   100    12     92.96      0.22    0.2%
 1024   100    13     92.53     0.266    0.2%
 1024   100    14     93.76     0.275    0.2%
 1024   100    15     93.94     0.228    0.2%
 1024   100    16     94.28      0.18    0.1%
 1024   100    17     94.49     0.208    0.2%
 1024   100    18      96.5     0.191    0.1%
 1024   100    19     96.52     0.114    0.1%
 1024   100    20     97.69     0.137    0.1%
 1024   100    21     98.42     0.238    0.2%
 1024   100    22     98.84     0.161    0.1%
 1024   100    23     98.88     0.336    0.3%
 1024   100    24     99.73     0.215    0.2%
 1024   100    25     100.1     0.234    0.2%
 1024   100    26     99.98     0.198    0.1%
 1024   100    27     100.9     0.204    0.2%
 1024   100    28     101.4     0.144    0.1%
 1024   100    29     101.2      0.08    0.0%
 1024   100    30     102.2     0.218    0.2%
 1024   100    31     103.3     0.272    0.2%
 1024   100    32     103.4     0.217    0.2%
 1024   100    33     104.3     0.213    0.2%
 1024   100    34     105.3     0.251    0.2%
 1024   100    35     105.9     0.173    0.1%
 1024   100    36     106.7     0.234    0.2%
 1024   100    37     107.1     0.229    0.2%
 1024   100    38     107.6     0.208    0.1%
 1024   100    39     107.8     0.237    0.2%
 1024   100    40       110     0.802    0.7%
 1024   100    41     109.6     0.197    0.1%
 1024   100    42     109.4     0.159    0.1%
 1024   100    43     110.6     0.194    0.1%
 1024   100    44     110.3     0.221    0.2%
 1024   100    45       111     0.219    0.1%
 1024   100    46     111.7      0.11    0.0%
 1024   100    47     111.8     0.149    0.1%
 1024   100    48     112.2     0.202    0.1%
 1024   100    49     112.9     0.093    0.0%
 1024   100    50     113.3     0.276    0.2%
 1024   100    51     114.8     0.358    0.3%
 1024   100    52       114     0.188    0.1%
 1024   100    53     115.2     0.162    0.1%
 1024   100    54     113.8     0.173    0.1%
 1024   100    55     116.5     0.294    0.2%
 1024   100    56     116.5     0.158    0.1%
 1024   100    57     116.5     0.197    0.1%
 1024   100    58     117.4     0.304    0.2%
 1024   100    59     116.8     0.232    0.1%
 1024   100    60     118.8     0.241    0.2%
 1024   100    61     118.2     0.127    0.1%
 1024   100    62     118.9     0.219    0.1%
 1024   100    63     119.3     0.246    0.2%
 1024   100    64     119.2     0.177    0.1%
 1024   100    65     120.2     0.219    0.1%
 1024   100    66     119.8       0.2    0.1%
 1024   100    67     120.9     0.304    0.2%
 1024   100    68     121.7     0.373    0.3%
 1024   100    69     123.2     0.234    0.1%
 1024   100    70     123.5       0.2    0.1%
 1024   100    71       124     0.139    0.1%
 1024   100    72     124.7     0.237    0.1%
 1024   100    73     124.9     0.244    0.1%
 1024   100    74     125.3     0.082    0.0%
 1024   100    75     125.7     0.183    0.1%
 1024   100    76     125.8      0.17    0.1%
 1024   100    77       127     0.358    0.2%
 1024   100    78     126.7     0.089    0.0%
 1024   100    79     127.4     0.143    0.1%
 1024   100    80     127.9     0.475    0.3%
 1024   100    81       129     0.154    0.1%
 1024   100    82     128.8     0.217    0.1%
 1024   100    83     128.8      0.26    0.2%
 1024   100    84     130.4     0.235    0.1%
 1024   100    85       130     0.116    0.0%
 1024   100    86     131.1     0.112    0.0%
 1024   100    87     132.9     0.967    0.7%
 1024   100    88       132     0.248    0.1%
 1024   100    89     131.6     0.141    0.1%
 1024   100    90     132.2     0.186    0.1%
 1024   100    91     132.7     0.354    0.2%
 1024   100    92     132.6     0.278    0.2%
 1024   100    93     133.1      0.24    0.1%
 1024   100    94     133.5     0.315    0.2%
 1024   100    95     134.4     0.176    0.1%
 1024   100    96     134.4     0.285    0.2%
 1024   100    97     135.4     0.063    0.0%
 1024   100    98     136.5     0.291    0.2%
 1024   100    99     136.7     0.274    0.2%
 1024   100   100     135.6     0.221    0.1%

Quality and confidence:
param     error
b             0
m         0.001
p         0.001

Model:
Time ~=    63.28
    + b    0.005
    + m    0.192
    + p    0.492
              µs

Reads = 4 + (0 * b) + (0 * m) + (0 * p)
Writes = 3 + (0 * b) + (0 * m) + (0 * p)
Pallet: "pallet_collective", Extrinsic: "close_disapproved", Lowest values: [], Highest values: [], Steps: [50], Repeat: 20
Median Slopes Analysis
========
-- Extrinsic Time --

Model:
Time ~=    51.01
    + m    0.194
    + p    0.499
              µs

Reads = 4 + (0 * m) + (0 * p)
Writes = 3 + (0 * m) + (0 * p)
Min Squares Analysis
========
-- Extrinsic Time --

Data points distribution:
    m     p   mean µs  sigma µs       %
    4   100     101.4     0.172    0.1%
<truncated>...

@gui1117 gui1117 closed this Jul 22, 2021
@gui1117 gui1117 deleted the gui-rerun-benchmarks branch July 22, 2021 13:21
cargo run --quiet --release --features=runtime-benchmarks --manifest-…
47efacc 
…path=bin/node/cli/Cargo.toml -- benchmark --chain=dev --steps=50 --repeat=20 --pallet=pallet_collective --extrinsic=* --execution=wasm --wasm-execution=compiled --heap-pages=4096 --output=./frame/collective/src/weights.rs --template=./.maintain/frame-weight-template.hbs
@gui1117 gui1117 mentioned this pull request Aug 2, 2021
Merged
@shawntabrizi
Copy link
Member

/benchmark runtime pallet pallet_bounties

@parity-benchapp
Copy link

parity-benchapp bot commented Aug 3, 2021 •
edited
Loading

Error running benchmark: gui-rerun-benchmarks

stdoutFrom https://github.com/paritytech/substrate * branch master -> FETCH_HEAD

@shawntabrizi shawntabrizi reopened this Aug 3, 2021
@shawntabrizi
Copy link
Member

/benchmark runtime pallet pallet_collective

@parity-benchapp
Copy link

parity-benchapp bot commented Aug 3, 2021 •
edited
Loading

Error running benchmark: gui-rerun-benchmarks

stdoutFrom https://github.com/paritytech/substrate * branch master -> FETCH_HEAD

Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Reviewers
No reviews
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
2 participants
@gui1117 @shawntabrizi