Runtime model results
Per-spec NNLS fits of test runtime against opcode count — one block per (target opcode, test, model combo, client). Use the filters to narrow to a single opcode or client.
Plots omitted. This is an older archived run; only the 5 most recent runs retain the runtime plots. The per-fit stats and NNLS summaries below are unchanged.
SLOAD · test_sload_bloated · combo False · erigon
nobs 33
R² 0.9979
coef (ms) 0.006133
p-value 1.00e-03
95% CI [0.006056, 0.006228]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 8.29
Df Residuals: 31 MAE: 6.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.1383 4.0549 0.001 11.9702 27.9153
opcount 0.0061 0.0000 0.001 0.0061 0.0062
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · geth
nobs 99
R² 0.8867
coef (ms) 0.1702
p-value 1.00e-03
95% CI [0.157, 0.1816]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.887
Model: NNLS Adj. R-squared: 0.886
No. Observations: 99 RMSE: 1790.73
Df Residuals: 97 MAE: 1164.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2992.7504 533.8753 0.001 2007.0498 4066.7039
opcount 0.1702 0.0064 0.001 0.1570 0.1816
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · nethermind
nobs 66
R² 0.8936
coef (ms) 0.003694
p-value 1.00e-03
95% CI [0.00344, 0.003943]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.894
Model: NNLS Adj. R-squared: 0.892
No. Observations: 66 RMSE: 37.52
Df Residuals: 64 MAE: 25.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.7958 12.4016 0.001 112.3860 160.8580
opcount 0.0037 0.0001 0.001 0.0034 0.0039
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · reth
nobs 66
R² 0.9534
coef (ms) 0.001319
p-value 1.00e-03
95% CI [0.001237, 0.001397]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.953
No. Observations: 66 RMSE: 8.58
Df Residuals: 64 MAE: 6.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.3599 4.5433 0.001 28.7053 46.3325
opcount 0.0013 0.0000 0.001 0.0012 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · erigon
nobs 33
R² 0.9909
coef (ms) 0.005656
p-value 1.00e-03
95% CI [0.005469, 0.005821]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 33 RMSE: 15.99
Df Residuals: 31 MAE: 13.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.0664 9.1270 0.001 14.2530 50.4550
opcount 0.0057 0.0001 0.001 0.0055 0.0058
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · geth
nobs 99
R² 0.8768
coef (ms) 0.1627
p-value 1.00e-03
95% CI [0.1492, 0.174]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.876
No. Observations: 99 RMSE: 1795.26
Df Residuals: 97 MAE: 1266.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3068.3298 517.8117 0.001 2107.4902 4146.0001
opcount 0.1627 0.0063 0.001 0.1492 0.1740
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · nethermind
nobs 66
R² 0.6117
coef (ms) 0.0244
p-value 1.00e-03
95% CI [0.01917, 0.02956]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.612
Model: NNLS Adj. R-squared: 0.606
No. Observations: 66 RMSE: 572.18
Df Residuals: 64 MAE: 450.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1425.9829 250.0689 0.001 947.4749 1908.1092
opcount 0.0244 0.0027 0.001 0.0192 0.0296
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · reth
nobs 66
R² 0.9731
coef (ms) 0.001435
p-value 1.00e-03
95% CI [0.001377, 0.001484]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 66 RMSE: 7.02
Df Residuals: 64 MAE: 5.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.3235 2.7226 0.001 24.5013 35.0059
opcount 0.0014 0.0000 0.001 0.0014 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · erigon
nobs 66
R² 0.9264
coef (ms) 4.76e-05
p-value 1.00e-03
95% CI [4.413e-05, 5.067e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.925
No. Observations: 66 RMSE: 8.48
Df Residuals: 64 MAE: 5.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.1191 3.8017 0.001 30.6369 45.7995
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · geth
nobs 198
R² 0.9777
coef (ms) 0.0002135
p-value 1.00e-03
95% CI [0.0002092, 0.0002179]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.978
No. Observations: 198 RMSE: 20.37
Df Residuals: 196 MAE: 15.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.9504 4.2193 0.001 7.4279 24.0631
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · nethermind
nobs 132
R² 0.7192
coef (ms) 0.0001493
p-value 1.00e-03
95% CI [0.0001347, 0.0001644]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.719
Model: NNLS Adj. R-squared: 0.717
No. Observations: 132 RMSE: 58.92
Df Residuals: 130 MAE: 44.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 114.5813 15.1548 0.001 83.8572 142.8529
opcount 0.0001 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · reth
nobs 132
R² 0.661
coef (ms) 4.775e-06
p-value 1.00e-03
95% CI [4.024e-06, 5.473e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.661
Model: NNLS Adj. R-squared: 0.658
No. Observations: 132 RMSE: 2.16
Df Residuals: 130 MAE: 1.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.3990 0.7964 0.001 4.9940 8.1185
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · erigon
nobs 33
R² 0.9979
coef (ms) 0.006106
p-value 1.00e-03
95% CI [0.006008, 0.006222]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 7.95
Df Residuals: 31 MAE: 6.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6691 4.4298 0.001 11.4102 28.2838
opcount 0.0061 0.0001 0.001 0.0060 0.0062
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · geth
nobs 99
R² 0.7718
coef (ms) 0.03812
p-value 1.00e-03
95% CI [0.03371, 0.04211]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.769
No. Observations: 99 RMSE: 585.86
Df Residuals: 97 MAE: 432.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1366.7484 166.5146 0.001 1042.3073 1726.4262
opcount 0.0381 0.0021 0.001 0.0337 0.0421
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · nethermind
nobs 66
R² 0.9153
coef (ms) 0.003818
p-value 1.00e-03
95% CI [0.003584, 0.004043]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.914
No. Observations: 66 RMSE: 32.83
Df Residuals: 64 MAE: 23.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 116.3617 10.0623 0.001 96.9381 136.1547
opcount 0.0038 0.0001 0.001 0.0036 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · reth
nobs 66
R² 0.9557
coef (ms) 0.001328
p-value 1.00e-03
95% CI [0.001256, 0.001396]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.956
Model: NNLS Adj. R-squared: 0.955
No. Observations: 66 RMSE: 8.08
Df Residuals: 64 MAE: 6.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.3742 3.5445 0.001 32.9300 46.7170
opcount 0.0013 0.0000 0.001 0.0013 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · erigon
nobs 33
R² 0.9824
coef (ms) 0.00565
p-value 1.00e-03
95% CI [0.005398, 0.005904]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 33 RMSE: 21.38
Df Residuals: 31 MAE: 18.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.4841 11.5830 0.007 7.5914 52.9705
opcount 0.0057 0.0001 0.001 0.0054 0.0059
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · geth
nobs 99
R² 0.7648
coef (ms) 0.03262
p-value 1.00e-03
95% CI [0.02886, 0.03657]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.765
Model: NNLS Adj. R-squared: 0.762
No. Observations: 99 RMSE: 511.24
Df Residuals: 97 MAE: 399.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1576.2241 178.8970 0.001 1208.8893 1896.0633
opcount 0.0326 0.0020 0.001 0.0289 0.0366
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · nethermind
nobs 66
R² 0.6391
coef (ms) 0.02581
p-value 1.00e-03
95% CI [0.02118, 0.03104]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.639
Model: NNLS Adj. R-squared: 0.633
No. Observations: 66 RMSE: 548.17
Df Residuals: 64 MAE: 447.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1293.8760 226.5727 0.001 848.9276 1728.9348
opcount 0.0258 0.0025 0.001 0.0212 0.0310
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · reth
nobs 66
R² 0.9684
coef (ms) 0.001518
p-value 1.00e-03
95% CI [0.00145, 0.001586]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 66 RMSE: 7.75
Df Residuals: 64 MAE: 5.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.7423 2.8619 0.001 21.2585 32.1251
opcount 0.0015 0.0000 0.001 0.0015 0.0016
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · erigon
nobs 33
R² 0.7727
coef (ms) 1.177
p-value 1.00e-03
95% CI [0.93, 1.399]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.765
No. Observations: 33 RMSE: 392.10
Df Residuals: 31 MAE: 324.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2616.8045 273.1502 0.001 2111.0448 3187.8508
opcount 1.1771 0.1179 0.001 0.9300 1.3992
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · geth
nobs 99
R² 0.8419
coef (ms) 0.5161
p-value 1.00e-03
95% CI [0.4755, 0.5526]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.840
No. Observations: 99 RMSE: 137.35
Df Residuals: 97 MAE: 103.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 82.4544 40.0094 0.017 6.0294 166.5220
opcount 0.5161 0.0202 0.001 0.4755 0.5526
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · nethermind
nobs 66
R² 0.4521
coef (ms) 0.06441
p-value 1.00e-03
95% CI [0.0478, 0.07785]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.452
Model: NNLS Adj. R-squared: 0.444
No. Observations: 66 RMSE: 43.55
Df Residuals: 64 MAE: 35.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 144.0561 16.5249 0.001 114.8488 178.3987
opcount 0.0644 0.0077 0.001 0.0478 0.0779
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · reth
nobs 66
R² 0.004323
coef (ms) 0.007578
p-value 3.56e-01
95% CI [0, 0.04827]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.004
Model: NNLS Adj. R-squared: -0.011
No. Observations: 66 RMSE: 70.63
Df Residuals: 64 MAE: 52.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 308.8046 34.0111 0.001 216.9126 340.7689
opcount 0.0076 0.0144 0.356 0.0000 0.0483
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · erigon
nobs 33
R² 0.9918
coef (ms) 0.572
p-value 1.00e-03
95% CI [0.5535, 0.5889]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 33 RMSE: 649.54
Df Residuals: 31 MAE: 565.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5798.6886 335.9170 0.001 5197.3246 6481.0293
opcount 0.5720 0.0094 0.001 0.5535 0.5889
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · geth
nobs 99
R² 0.9547
coef (ms) 0.1106
p-value 1.00e-03
95% CI [0.1057, 0.1154]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.955
Model: NNLS Adj. R-squared: 0.954
No. Observations: 99 RMSE: 301.72
Df Residuals: 97 MAE: 215.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 850.0938 85.7176 0.001 672.5256 1012.1612
opcount 0.1106 0.0024 0.001 0.1057 0.1154
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · nethermind
nobs 66
R² 0.7914
coef (ms) 0.06728
p-value 1.00e-03
95% CI [0.05827, 0.07561]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.788
No. Observations: 66 RMSE: 432.59
Df Residuals: 64 MAE: 337.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 789.9510 159.3482 0.001 477.8130 1101.2907
opcount 0.0673 0.0044 0.001 0.0583 0.0756
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · reth
nobs 66
R² 0.994
coef (ms) 0.1481
p-value 1.00e-03
95% CI [0.1454, 0.1512]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 66 RMSE: 144.41
Df Residuals: 64 MAE: 115.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1280.2931 54.5241 0.001 1174.5700 1384.4223
opcount 0.1481 0.0015 0.001 0.1454 0.1512
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · erigon
nobs 33
R² 0.9982
coef (ms) 0.009815
p-value 1.00e-03
95% CI [0.009677, 0.009954]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 9.85
Df Residuals: 31 MAE: 7.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.4158 4.9520 0.001 17.7978 37.0114
opcount 0.0098 0.0001 0.001 0.0097 0.0100
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · geth
nobs 99
R² 0.7224
coef (ms) 0.01203
p-value 1.00e-03
95% CI [0.01054, 0.01348]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.722
Model: NNLS Adj. R-squared: 0.719
No. Observations: 99 RMSE: 178.22
Df Residuals: 97 MAE: 156.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 474.0982 61.4809 0.001 353.6896 593.1160
opcount 0.0120 0.0008 0.001 0.0105 0.0135
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · nethermind
nobs 66
R² 0.7289
coef (ms) 0.005631
p-value 1.00e-03
95% CI [0.004963, 0.006136]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.725
No. Observations: 66 RMSE: 82.09
Df Residuals: 64 MAE: 53.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.6108 18.7806 0.163 0.0000 64.3143
opcount 0.0056 0.0003 0.001 0.0050 0.0061
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · reth
nobs 66
R² 0.9774
coef (ms) 0.001086
p-value 1.00e-03
95% CI [0.001047, 0.001127]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 66 RMSE: 3.94
Df Residuals: 64 MAE: 3.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.0847 1.5593 0.001 28.9521 35.2343
opcount 0.0011 0.0000 0.001 0.0010 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 33
R² 0.9982
coef (ms) 0.009107
p-value 1.00e-03
95% CI [0.008992, 0.009125]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 9.13
Df Residuals: 31 MAE: 7.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 3.0580 1.000 0.0000 9.7998
opcount 0.0091 0.0000 0.001 0.0090 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 99
R² 0.7244
coef (ms) 0.02812
p-value 1.00e-03
95% CI [0.02486, 0.03173]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.724
Model: NNLS Adj. R-squared: 0.722
No. Observations: 99 RMSE: 414.56
Df Residuals: 97 MAE: 324.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1767.2473 147.5042 0.001 1445.8292 2049.1644
opcount 0.0281 0.0017 0.001 0.0249 0.0317
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 66
R² 0.8335
coef (ms) 0.004969
p-value 1.00e-03
95% CI [0.00442, 0.00545]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.831
No. Observations: 66 RMSE: 53.08
Df Residuals: 64 MAE: 35.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.4940 16.7615 0.050 0.0000 64.0963
opcount 0.0050 0.0003 0.001 0.0044 0.0054
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 66
R² 0.9749
coef (ms) 0.000919
p-value 1.00e-03
95% CI [0.0008808, 0.0009565]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 66 RMSE: 3.52
Df Residuals: 64 MAE: 2.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.2516 1.4390 0.001 28.4345 34.1966
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · erigon
nobs 33
R² 0.9025
coef (ms) 0.03579
p-value 1.00e-03
95% CI [0.03095, 0.03932]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.902
Model: NNLS Adj. R-squared: 0.899
No. Observations: 33 RMSE: 244.80
Df Residuals: 31 MAE: 207.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 431.4027 150.4979 0.001 172.0663 782.1404
opcount 0.0358 0.0020 0.001 0.0310 0.0393
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · geth
nobs 99
R² 0.6699
coef (ms) 0.03448
p-value 1.00e-03
95% CI [0.02979, 0.03967]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.670
Model: NNLS Adj. R-squared: 0.666
No. Observations: 99 RMSE: 503.53
Df Residuals: 97 MAE: 411.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1471.9648 165.0201 0.001 1114.7946 1765.4452
opcount 0.0345 0.0025 0.001 0.0298 0.0397
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 66
R² 0.9075
coef (ms) 0.01947
p-value 1.00e-03
95% CI [0.01788, 0.02121]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.906
No. Observations: 66 RMSE: 129.31
Df Residuals: 64 MAE: 98.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 206.2844 47.5973 0.001 112.3036 302.4987
opcount 0.0195 0.0008 0.001 0.0179 0.0212
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · reth
nobs 66
R² 0.7652
coef (ms) 0.03025
p-value 1.00e-03
95% CI [0.02639, 0.03386]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.765
Model: NNLS Adj. R-squared: 0.762
No. Observations: 66 RMSE: 348.56
Df Residuals: 64 MAE: 246.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 857.8989 138.2550 0.001 593.5619 1134.1225
opcount 0.0302 0.0019 0.001 0.0264 0.0339
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 33
R² 0.9982
coef (ms) 0.009107
p-value 1.00e-03
95% CI [0.008992, 0.009125]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 9.13
Df Residuals: 31 MAE: 7.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 3.0580 1.000 0.0000 9.7998
opcount 0.0091 0.0000 0.001 0.0090 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 99
R² 0.7244
coef (ms) 0.02812
p-value 1.00e-03
95% CI [0.02486, 0.03173]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.724
Model: NNLS Adj. R-squared: 0.722
No. Observations: 99 RMSE: 414.56
Df Residuals: 97 MAE: 324.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1767.2473 147.5042 0.001 1445.8292 2049.1644
opcount 0.0281 0.0017 0.001 0.0249 0.0317
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 66
R² 0.8335
coef (ms) 0.004969
p-value 1.00e-03
95% CI [0.00442, 0.00545]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.831
No. Observations: 66 RMSE: 53.08
Df Residuals: 64 MAE: 35.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.4940 16.7615 0.050 0.0000 64.0963
opcount 0.0050 0.0003 0.001 0.0044 0.0054
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 66
R² 0.9749
coef (ms) 0.000919
p-value 1.00e-03
95% CI [0.0008808, 0.0009565]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 66 RMSE: 3.52
Df Residuals: 64 MAE: 2.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.2516 1.4390 0.001 28.4345 34.1966
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · erigon
nobs 33
R² 0.9175
coef (ms) 4.759e-05
p-value 1.00e-03
95% CI [4.219e-05, 5.288e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.915
No. Observations: 33 RMSE: 8.34
Df Residuals: 31 MAE: 6.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.2963 5.7946 0.001 30.3427 51.9124
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · geth
nobs 99
R² 0.9767
coef (ms) 0.0001395
p-value 1.00e-03
95% CI [0.000135, 0.0001441]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.976
No. Observations: 99 RMSE: 12.59
Df Residuals: 97 MAE: 9.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.9918 3.7805 0.002 3.2299 18.5003
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · nethermind
nobs 66
R² 0.7281
coef (ms) 0.0001349
p-value 1.00e-03
95% CI [0.0001195, 0.0001515]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.728
Model: NNLS Adj. R-squared: 0.724
No. Observations: 66 RMSE: 48.20
Df Residuals: 64 MAE: 37.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.1312 15.3782 0.001 44.4826 105.5723
opcount 0.0001 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · reth
nobs 66
R² 0.6549
coef (ms) 6.223e-06
p-value 1.00e-03
95% CI [5.17e-06, 7.237e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.655
Model: NNLS Adj. R-squared: 0.650
No. Observations: 66 RMSE: 2.64
Df Residuals: 64 MAE: 1.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.9015 1.0340 0.001 5.0416 9.1341
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · erigon
nobs 33
R² 0.9971
coef (ms) 0.01105
p-value 1.00e-03
95% CI [0.01088, 0.01126]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 33 RMSE: 14.26
Df Residuals: 31 MAE: 11.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.9669 6.3590 0.001 26.7984 52.1663
opcount 0.0110 0.0001 0.001 0.0109 0.0113
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · geth
nobs 99
R² 0.7405
coef (ms) 0.01217
p-value 1.00e-03
95% CI [0.01095, 0.0135]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.741
Model: NNLS Adj. R-squared: 0.738
No. Observations: 99 RMSE: 171.11
Df Residuals: 97 MAE: 149.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 515.8667 51.0545 0.001 410.9216 611.0239
opcount 0.0122 0.0007 0.001 0.0109 0.0135
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · nethermind
nobs 66
R² 0.8701
coef (ms) 0.006239
p-value 1.00e-03
95% CI [0.005639, 0.006794]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.868
No. Observations: 66 RMSE: 57.23
Df Residuals: 64 MAE: 43.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.1144 20.1313 0.020 2.7773 82.1976
opcount 0.0062 0.0003 0.001 0.0056 0.0068
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · reth
nobs 66
R² 0.9787
coef (ms) 0.001142
p-value 1.00e-03
95% CI [0.001105, 0.001185]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.979
Model: NNLS Adj. R-squared: 0.978
No. Observations: 66 RMSE: 4.00
Df Residuals: 64 MAE: 3.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.1145 1.7226 0.001 27.5139 34.2199
opcount 0.0011 0.0000 0.001 0.0011 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 33
R² 0.9983
coef (ms) 0.01002
p-value 1.00e-03
95% CI [0.009874, 0.0102]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 9.68
Df Residuals: 31 MAE: 8.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.7463 6.7365 0.009 3.3549 30.4253
opcount 0.0100 0.0001 0.001 0.0099 0.0102
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 99
R² 0.6917
coef (ms) 0.03123
p-value 1.00e-03
95% CI [0.02757, 0.03565]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.692
Model: NNLS Adj. R-squared: 0.689
No. Observations: 99 RMSE: 495.13
Df Residuals: 97 MAE: 402.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1624.7398 164.3540 0.001 1275.4694 1901.6730
opcount 0.0312 0.0021 0.001 0.0276 0.0356
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 66
R² 0.7458
coef (ms) 0.006286
p-value 1.00e-03
95% CI [0.005412, 0.006926]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.746
Model: NNLS Adj. R-squared: 0.742
No. Observations: 66 RMSE: 87.14
Df Residuals: 64 MAE: 50.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9118 21.4643 0.187 0.0000 72.5793
opcount 0.0063 0.0004 0.001 0.0054 0.0069
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 66
R² 0.9729
coef (ms) 0.0009885
p-value 1.00e-03
95% CI [0.0009443, 0.001031]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 66 RMSE: 3.92
Df Residuals: 64 MAE: 3.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.4766 1.7475 0.001 26.3272 33.1263
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · erigon
nobs 33
R² 0.8722
coef (ms) 0.08722
p-value 1.00e-03
95% CI [0.0739, 0.09735]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.872
Model: NNLS Adj. R-squared: 0.868
No. Observations: 33 RMSE: 679.23
Df Residuals: 31 MAE: 583.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1500.7065 436.4871 0.001 772.2236 2479.9973
opcount 0.0872 0.0059 0.001 0.0739 0.0974
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · geth
nobs 99
R² 0.847
coef (ms) 0.04416
p-value 1.00e-03
95% CI [0.0407, 0.04789]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.847
Model: NNLS Adj. R-squared: 0.845
No. Observations: 99 RMSE: 381.86
Df Residuals: 97 MAE: 307.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1136.0652 117.1849 0.001 898.1825 1360.7066
opcount 0.0442 0.0019 0.001 0.0407 0.0479
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · nethermind
nobs 66
R² 0.9102
coef (ms) 0.02092
p-value 1.00e-03
95% CI [0.01924, 0.0226]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.909
No. Observations: 66 RMSE: 133.70
Df Residuals: 64 MAE: 103.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 222.6642 50.6067 0.001 127.2660 326.2801
opcount 0.0209 0.0009 0.001 0.0192 0.0226
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · reth
nobs 66
R² 0.955
coef (ms) 0.03464
p-value 1.00e-03
95% CI [0.03255, 0.03695]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.955
Model: NNLS Adj. R-squared: 0.954
No. Observations: 66 RMSE: 153.00
Df Residuals: 64 MAE: 123.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 321.4173 80.0172 0.001 148.2434 462.4042
opcount 0.0346 0.0011 0.001 0.0326 0.0370
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 33
R² 0.9983
coef (ms) 0.01002
p-value 1.00e-03
95% CI [0.009874, 0.0102]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 9.68
Df Residuals: 31 MAE: 8.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.7463 6.7365 0.009 3.3549 30.4253
opcount 0.0100 0.0001 0.001 0.0099 0.0102
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 99
R² 0.6917
coef (ms) 0.03123
p-value 1.00e-03
95% CI [0.02757, 0.03565]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.692
Model: NNLS Adj. R-squared: 0.689
No. Observations: 99 RMSE: 495.13
Df Residuals: 97 MAE: 402.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1624.7398 164.3540 0.001 1275.4694 1901.6730
opcount 0.0312 0.0021 0.001 0.0276 0.0356
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 66
R² 0.7458
coef (ms) 0.006286
p-value 1.00e-03
95% CI [0.005412, 0.006926]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.746
Model: NNLS Adj. R-squared: 0.742
No. Observations: 66 RMSE: 87.14
Df Residuals: 64 MAE: 50.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9118 21.4643 0.187 0.0000 72.5793
opcount 0.0063 0.0004 0.001 0.0054 0.0069
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 66
R² 0.9729
coef (ms) 0.0009885
p-value 1.00e-03
95% CI [0.0009443, 0.001031]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 66 RMSE: 3.92
Df Residuals: 64 MAE: 3.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.4766 1.7475 0.001 26.3272 33.1263
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · erigon
nobs 33
R² 0.9687
coef (ms) 0.2325
p-value 1.00e-03
95% CI [0.2175, 0.2481]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.968
No. Observations: 33 RMSE: 281.47
Df Residuals: 31 MAE: 231.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2338.2355 172.7238 0.001 2011.1349 2675.2705
opcount 0.2325 0.0079 0.001 0.2175 0.2481
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · geth
nobs 99
R² 0.8501
coef (ms) 0.05251
p-value 1.00e-03
95% CI [0.04841, 0.05676]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.849
No. Observations: 99 RMSE: 148.36
Df Residuals: 97 MAE: 114.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 422.4646 40.5226 0.001 344.5354 501.4609
opcount 0.0525 0.0022 0.001 0.0484 0.0568
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · nethermind
nobs 66
R² 0.7924
coef (ms) 0.03181
p-value 1.00e-03
95% CI [0.02813, 0.03528]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.789
No. Observations: 66 RMSE: 109.57
Df Residuals: 64 MAE: 86.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 220.5914 38.1407 0.001 155.4412 302.2765
opcount 0.0318 0.0019 0.001 0.0281 0.0353
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · reth
nobs 66
R² 0.955
coef (ms) 0.1495
p-value 1.00e-03
95% CI [0.1399, 0.1601]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.955
Model: NNLS Adj. R-squared: 0.954
No. Observations: 66 RMSE: 218.52
Df Residuals: 64 MAE: 161.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 547.1228 124.4658 0.001 286.0596 774.7754
opcount 0.1495 0.0052 0.001 0.1399 0.1601
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · erigon
nobs 33
R² 0.6664
coef (ms) 1.554
p-value 1.00e-03
95% CI [1.186, 1.945]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.666
Model: NNLS Adj. R-squared: 0.656
No. Observations: 33 RMSE: 362.00
Df Residuals: 31 MAE: 320.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 686.2891 186.5921 0.002 304.6266 1048.3073
opcount 1.5539 0.1919 0.001 1.1864 1.9446
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · geth
nobs 99
R² 0.2643
coef (ms) 0.1148
p-value 1.00e-03
95% CI [0.07339, 0.1512]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.264
Model: NNLS Adj. R-squared: 0.257
No. Observations: 99 RMSE: 63.09
Df Residuals: 97 MAE: 55.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.2770 19.1791 0.001 48.2089 126.0551
opcount 0.1148 0.0195 0.001 0.0734 0.1512
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · nethermind
nobs 66
R² 0.7966
coef (ms) 0.04162
p-value 1.00e-03
95% CI [0.03624, 0.04631]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.793
No. Observations: 66 RMSE: 6.92
Df Residuals: 64 MAE: 5.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.2072 2.9000 0.001 12.2760 23.4049
opcount 0.0416 0.0027 0.001 0.0362 0.0463
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · reth
nobs 66
R² 0.006828
coef (ms) 0.007046
p-value 2.89e-01
95% CI [0, 0.03321]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.007
Model: NNLS Adj. R-squared: -0.009
No. Observations: 66 RMSE: 27.98
Df Residuals: 64 MAE: 22.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 94.5593 13.0502 0.001 62.7217 108.1784
opcount 0.0070 0.0103 0.289 0.0000 0.0332
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · erigon
nobs 33
R² 0.9323
coef (ms) 1.126
p-value 1.00e-03
95% CI [1.015, 1.25]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.930
No. Observations: 33 RMSE: 1947.83
Df Residuals: 31 MAE: 1514.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13530.9497 1125.3523 0.001 11341.0196 15794.9094
opcount 1.1257 0.0586 0.001 1.0154 1.2498
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · geth
nobs 99
R² 0.9343
coef (ms) 0.0959
p-value 1.00e-03
95% CI [0.09057, 0.101]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.934
Model: NNLS Adj. R-squared: 0.934
No. Observations: 99 RMSE: 163.41
Df Residuals: 97 MAE: 135.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 720.4509 49.9399 0.001 621.1256 820.2691
opcount 0.0959 0.0026 0.001 0.0906 0.1010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · nethermind
nobs 66
R² 0.9329
coef (ms) 0.0593
p-value 1.00e-03
95% CI [0.05601, 0.06286]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.932
No. Observations: 66 RMSE: 102.18
Df Residuals: 64 MAE: 73.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 204.7281 32.3186 0.001 143.5968 267.7906
opcount 0.0593 0.0017 0.001 0.0560 0.0629
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · reth
nobs 66
R² 0.9796
coef (ms) 0.1548
p-value 1.00e-03
95% CI [0.1484, 0.1621]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.979
No. Observations: 66 RMSE: 143.32
Df Residuals: 64 MAE: 107.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 988.0759 79.0219 0.001 812.9525 1132.2626
opcount 0.1548 0.0035 0.001 0.1484 0.1621
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · erigon
nobs 33
R² 0.6664
coef (ms) 1.554
p-value 1.00e-03
95% CI [1.186, 1.945]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.666
Model: NNLS Adj. R-squared: 0.656
No. Observations: 33 RMSE: 362.00
Df Residuals: 31 MAE: 320.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 686.2891 186.5921 0.002 304.6266 1048.3073
opcount 1.5539 0.1919 0.001 1.1864 1.9446
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · geth
nobs 99
R² 0.2643
coef (ms) 0.1148
p-value 1.00e-03
95% CI [0.07339, 0.1512]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.264
Model: NNLS Adj. R-squared: 0.257
No. Observations: 99 RMSE: 63.09
Df Residuals: 97 MAE: 55.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.2770 19.1791 0.001 48.2089 126.0551
opcount 0.1148 0.0195 0.001 0.0734 0.1512
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · nethermind
nobs 66
R² 0.7966
coef (ms) 0.04162
p-value 1.00e-03
95% CI [0.03624, 0.04631]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.793
No. Observations: 66 RMSE: 6.92
Df Residuals: 64 MAE: 5.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.2072 2.9000 0.001 12.2760 23.4049
opcount 0.0416 0.0027 0.001 0.0362 0.0463
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · reth
nobs 66
R² 0.006828
coef (ms) 0.007046
p-value 2.89e-01
95% CI [0, 0.03321]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.007
Model: NNLS Adj. R-squared: -0.009
No. Observations: 66 RMSE: 27.98
Df Residuals: 64 MAE: 22.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 94.5593 13.0502 0.001 62.7217 108.1784
opcount 0.0070 0.0103 0.289 0.0000 0.0332
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · erigon
nobs 33
R² 0.9516
coef (ms) 0.0005012
p-value 1.00e-03
95% CI [0.0004599, 0.0005389]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.950
No. Observations: 33 RMSE: 57.11
Df Residuals: 31 MAE: 43.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.8094 30.0554 0.016 5.6472 123.5447
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · geth
nobs 99
R² 0.9829
coef (ms) 0.0005851
p-value 1.00e-03
95% CI [0.0005719, 0.0006001]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.983
Model: NNLS Adj. R-squared: 0.983
No. Observations: 99 RMSE: 39.01
Df Residuals: 97 MAE: 28.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.5934 10.3896 0.005 5.8878 46.2289
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · nethermind
nobs 66
R² 0.6695
coef (ms) 0.0004599
p-value 1.00e-03
95% CI [0.0003772, 0.0005461]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.669
Model: NNLS Adj. R-squared: 0.664
No. Observations: 66 RMSE: 163.26
Df Residuals: 64 MAE: 129.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 436.2948 68.9515 0.001 298.1657 570.6952
opcount 0.0005 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · reth
nobs 66
R² 0.9042
coef (ms) 4.752e-05
p-value 1.00e-03
95% CI [4.35e-05, 5.23e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.903
No. Observations: 66 RMSE: 7.81
Df Residuals: 64 MAE: 6.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.7392 3.4540 0.001 14.4903 28.1053
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · erigon
nobs 33
R² 0.9981
coef (ms) 0.01011
p-value 1.00e-03
95% CI [0.009951, 0.01026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 10.54
Df Residuals: 31 MAE: 8.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.0112 5.9653 0.001 21.3385 44.9596
opcount 0.0101 0.0001 0.001 0.0100 0.0103
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · geth
nobs 99
R² 0.7509
coef (ms) 0.01292
p-value 1.00e-03
95% CI [0.01155, 0.01441]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.751
Model: NNLS Adj. R-squared: 0.748
No. Observations: 99 RMSE: 176.63
Df Residuals: 97 MAE: 153.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 480.8755 59.8137 0.001 366.2914 591.1411
opcount 0.0129 0.0007 0.001 0.0115 0.0144
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · nethermind
nobs 66
R² 0.8449
coef (ms) 0.006739
p-value 1.00e-03
95% CI [0.006054, 0.007271]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.842
No. Observations: 66 RMSE: 68.57
Df Residuals: 64 MAE: 51.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.2660 23.3047 0.098 0.0000 83.8388
opcount 0.0067 0.0003 0.001 0.0061 0.0073
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · reth
nobs 66
R² 0.9738
coef (ms) 0.001077
p-value 1.00e-03
95% CI [0.001032, 0.001127]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.973
No. Observations: 66 RMSE: 4.19
Df Residuals: 64 MAE: 3.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.1252 1.9493 0.001 31.4726 39.0287
opcount 0.0011 0.0000 0.001 0.0010 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 33
R² 0.9976
coef (ms) 0.009418
p-value 1.00e-03
95% CI [0.00924, 0.009617]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 11.01
Df Residuals: 31 MAE: 8.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.6356 8.0197 0.006 7.5892 38.6279
opcount 0.0094 0.0001 0.001 0.0092 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 99
R² 0.7221
coef (ms) 0.03321
p-value 1.00e-03
95% CI [0.0291, 0.03771]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.722
Model: NNLS Adj. R-squared: 0.719
No. Observations: 99 RMSE: 489.24
Df Residuals: 97 MAE: 391.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1586.0496 163.1073 0.001 1246.7922 1890.3846
opcount 0.0332 0.0022 0.001 0.0291 0.0377
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 66
R² 0.8351
coef (ms) 0.00591
p-value 1.00e-03
95% CI [0.005217, 0.006563]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.833
No. Observations: 66 RMSE: 62.36
Df Residuals: 64 MAE: 47.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9809 21.0470 0.019 2.1994 87.7656
opcount 0.0059 0.0003 0.001 0.0052 0.0066
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 66
R² 0.9726
coef (ms) 0.0009637
p-value 1.00e-03
95% CI [0.0009222, 0.001009]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.972
No. Observations: 66 RMSE: 3.84
Df Residuals: 64 MAE: 3.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.9106 1.6230 0.001 27.6802 34.1375
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · erigon
nobs 33
R² 0.8718
coef (ms) 0.08713
p-value 1.00e-03
95% CI [0.0734, 0.09756]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.872
Model: NNLS Adj. R-squared: 0.868
No. Observations: 33 RMSE: 679.93
Df Residuals: 31 MAE: 586.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1461.5620 454.0969 0.001 697.7271 2503.4868
opcount 0.0871 0.0060 0.001 0.0734 0.0976
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · geth
nobs 99
R² 0.6327
coef (ms) 0.03275
p-value 1.00e-03
95% CI [0.02833, 0.03706]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.633
Model: NNLS Adj. R-squared: 0.629
No. Observations: 99 RMSE: 507.82
Df Residuals: 97 MAE: 409.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1649.5762 152.4521 0.001 1353.4556 1948.1678
opcount 0.0328 0.0021 0.001 0.0283 0.0371
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · nethermind
nobs 66
R² 0.896
coef (ms) 0.02101
p-value 1.00e-03
95% CI [0.01918, 0.02313]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.894
No. Observations: 66 RMSE: 145.69
Df Residuals: 64 MAE: 115.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 207.2518 55.0310 0.001 94.8428 310.2475
opcount 0.0210 0.0010 0.001 0.0192 0.0231
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · reth
nobs 66
R² 0.8161
coef (ms) 0.03033
p-value 1.00e-03
95% CI [0.02739, 0.03372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.816
Model: NNLS Adj. R-squared: 0.813
No. Observations: 66 RMSE: 293.01
Df Residuals: 64 MAE: 189.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 633.1238 124.4045 0.001 382.4266 852.7062
opcount 0.0303 0.0017 0.001 0.0274 0.0337
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 33
R² 0.9976
coef (ms) 0.009418
p-value 1.00e-03
95% CI [0.00924, 0.009617]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 11.01
Df Residuals: 31 MAE: 8.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.6356 8.0197 0.006 7.5892 38.6279
opcount 0.0094 0.0001 0.001 0.0092 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 99
R² 0.7221
coef (ms) 0.03321
p-value 1.00e-03
95% CI [0.0291, 0.03771]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.722
Model: NNLS Adj. R-squared: 0.719
No. Observations: 99 RMSE: 489.24
Df Residuals: 97 MAE: 391.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1586.0496 163.1073 0.001 1246.7922 1890.3846
opcount 0.0332 0.0022 0.001 0.0291 0.0377
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 66
R² 0.8351
coef (ms) 0.00591
p-value 1.00e-03
95% CI [0.005217, 0.006563]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.833
No. Observations: 66 RMSE: 62.36
Df Residuals: 64 MAE: 47.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9809 21.0470 0.019 2.1994 87.7656
opcount 0.0059 0.0003 0.001 0.0052 0.0066
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 66
R² 0.9726
coef (ms) 0.0009637
p-value 1.00e-03
95% CI [0.0009222, 0.001009]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.972
No. Observations: 66 RMSE: 3.84
Df Residuals: 64 MAE: 3.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.9106 1.6230 0.001 27.6802 34.1375
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · erigon
nobs 33
R² 0.9868
coef (ms) 0.007926
p-value 1.00e-03
95% CI [0.007584, 0.008276]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.987
Model: NNLS Adj. R-squared: 0.986
No. Observations: 33 RMSE: 6.16
Df Residuals: 31 MAE: 4.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.8955 3.7422 0.001 32.9120 47.6427
opcount 0.0079 0.0002 0.001 0.0076 0.0083
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · geth
nobs 99
R² 0.2357
coef (ms) 0.01265
p-value 1.00e-03
95% CI [0.008096, 0.01681]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.236
Model: NNLS Adj. R-squared: 0.228
No. Observations: 99 RMSE: 153.37
Df Residuals: 97 MAE: 139.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 250.3906 44.1052 0.001 159.7794 333.6548
opcount 0.0127 0.0022 0.001 0.0081 0.0168
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · nethermind
nobs 66
R² 0.8349
coef (ms) 0.005825
p-value 1.00e-03
95% CI [0.005136, 0.006467]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.832
No. Observations: 66 RMSE: 17.43
Df Residuals: 64 MAE: 12.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.2791 6.7153 0.001 33.5614 59.8372
opcount 0.0058 0.0003 0.001 0.0051 0.0065
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · reth
nobs 66
R² 0.9095
coef (ms) 0.001206
p-value 1.00e-03
95% CI [0.001114, 0.001301]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.909
Model: NNLS Adj. R-squared: 0.908
No. Observations: 66 RMSE: 2.56
Df Residuals: 64 MAE: 2.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9950 1.0536 0.001 7.9586 12.0438
opcount 0.0012 0.0000 0.001 0.0011 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · erigon
nobs 33
R² 0.8385
coef (ms) 0.001811
p-value 1.00e-03
95% CI [0.001541, 0.002072]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.833
No. Observations: 33 RMSE: 5.35
Df Residuals: 31 MAE: 4.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.8081 3.0095 0.001 48.3377 59.8548
opcount 0.0018 0.0001 0.001 0.0015 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · geth
nobs 99
R² 0.01782
coef (ms) 0.007912
p-value 8.70e-02
95% CI [0, 0.01938]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.018
Model: NNLS Adj. R-squared: 0.008
No. Observations: 99 RMSE: 395.43
Df Residuals: 97 MAE: 373.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 468.1822 111.4745 0.001 224.0754 645.9384
opcount 0.0079 0.0055 0.087 0.0000 0.0194
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · nethermind
nobs 66
R² 0.6831
coef (ms) 0.002358
p-value 1.00e-03
95% CI [0.001953, 0.00276]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.683
Model: NNLS Adj. R-squared: 0.678
No. Observations: 66 RMSE: 10.81
Df Residuals: 64 MAE: 8.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.7927 4.6720 0.001 36.6722 54.5143
opcount 0.0024 0.0002 0.001 0.0020 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · reth
nobs 66
R² 0.8569
coef (ms) 0.00024
p-value 1.00e-03
95% CI [0.00022, 0.0002616]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.855
No. Observations: 66 RMSE: 0.66
Df Residuals: 64 MAE: 0.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2030 0.2454 0.001 5.6785 6.6981
opcount 0.0002 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · erigon
nobs 33
R² 0.9077
coef (ms) 0.08265
p-value 1.00e-03
95% CI [0.07347, 0.0899]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.905
No. Observations: 33 RMSE: 169.24
Df Residuals: 31 MAE: 141.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 557.1736 101.9414 0.001 385.0989 782.5451
opcount 0.0826 0.0043 0.001 0.0735 0.0899
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · geth
nobs 99
R² 0.7648
coef (ms) 0.05497
p-value 1.00e-03
95% CI [0.04945, 0.06036]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.765
Model: NNLS Adj. R-squared: 0.762
No. Observations: 99 RMSE: 195.82
Df Residuals: 97 MAE: 149.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 307.7816 54.2524 0.001 200.2834 409.9631
opcount 0.0550 0.0028 0.001 0.0495 0.0604
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · nethermind
nobs 66
R² 0.8939
coef (ms) 0.02039
p-value 1.00e-03
95% CI [0.01872, 0.02239]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.894
Model: NNLS Adj. R-squared: 0.892
No. Observations: 66 RMSE: 45.12
Df Residuals: 64 MAE: 33.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.8423 17.1210 0.001 47.7865 113.0272
opcount 0.0204 0.0010 0.001 0.0187 0.0224
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · reth
nobs 66
R² 0.3282
coef (ms) 0.01329
p-value 1.00e-03
95% CI [0.007362, 0.01996]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.328
Model: NNLS Adj. R-squared: 0.318
No. Observations: 66 RMSE: 122.16
Df Residuals: 64 MAE: 87.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 176.4138 75.5910 0.014 19.7312 314.2478
opcount 0.0133 0.0032 0.001 0.0074 0.0200
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · erigon
nobs 33
R² 0.8385
coef (ms) 0.001811
p-value 1.00e-03
95% CI [0.001541, 0.002072]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.833
No. Observations: 33 RMSE: 5.35
Df Residuals: 31 MAE: 4.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.8081 3.0095 0.001 48.3377 59.8548
opcount 0.0018 0.0001 0.001 0.0015 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · geth
nobs 99
R² 0.01782
coef (ms) 0.007912
p-value 8.70e-02
95% CI [0, 0.01938]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.018
Model: NNLS Adj. R-squared: 0.008
No. Observations: 99 RMSE: 395.43
Df Residuals: 97 MAE: 373.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 468.1822 111.4745 0.001 224.0754 645.9384
opcount 0.0079 0.0055 0.087 0.0000 0.0194
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · nethermind
nobs 66
R² 0.6831
coef (ms) 0.002358
p-value 1.00e-03
95% CI [0.001953, 0.00276]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.683
Model: NNLS Adj. R-squared: 0.678
No. Observations: 66 RMSE: 10.81
Df Residuals: 64 MAE: 8.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.7927 4.6720 0.001 36.6722 54.5143
opcount 0.0024 0.0002 0.001 0.0020 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · reth
nobs 66
R² 0.8569
coef (ms) 0.00024
p-value 1.00e-03
95% CI [0.00022, 0.0002616]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.855
No. Observations: 66 RMSE: 0.66
Df Residuals: 64 MAE: 0.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2030 0.2454 0.001 5.6785 6.6981
opcount 0.0002 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · erigon
nobs 33
R² 0.9666
coef (ms) 0.000271
p-value 1.00e-03
95% CI [0.0002495, 0.0002883]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.966
No. Observations: 33 RMSE: 25.45
Df Residuals: 31 MAE: 20.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.1639 15.7210 0.001 25.4666 86.8938
opcount 0.0003 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · geth
nobs 99
R² 0.9686
coef (ms) 0.0006962
p-value 1.00e-03
95% CI [0.0006725, 0.0007142]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.968
No. Observations: 99 RMSE: 63.33
Df Residuals: 97 MAE: 49.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.0626 15.4110 0.163 0.0000 52.2992
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · nethermind
nobs 66
R² 0.6792
coef (ms) 0.0004605
p-value 1.00e-03
95% CI [0.0003736, 0.0005349]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.679
Model: NNLS Adj. R-squared: 0.674
No. Observations: 66 RMSE: 159.90
Df Residuals: 64 MAE: 123.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 411.4809 61.8026 0.001 299.2995 542.2255
opcount 0.0005 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · reth
nobs 66
R² 0.919
coef (ms) 4.737e-05
p-value 1.00e-03
95% CI [4.446e-05, 5.047e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.919
Model: NNLS Adj. R-squared: 0.918
No. Observations: 66 RMSE: 7.11
Df Residuals: 64 MAE: 5.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.5224 2.6249 0.001 12.3427 22.4830
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · erigon
nobs 33
R² 0.9977
coef (ms) 0.009964
p-value 1.00e-03
95% CI [0.009817, 0.01012]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 11.48
Df Residuals: 31 MAE: 9.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.4129 5.7647 0.001 30.1245 53.0772
opcount 0.0100 0.0001 0.001 0.0098 0.0101
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · geth
nobs 99
R² 0.7053
coef (ms) 0.01201
p-value 1.00e-03
95% CI [0.01054, 0.01358]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.705
Model: NNLS Adj. R-squared: 0.702
No. Observations: 99 RMSE: 184.54
Df Residuals: 97 MAE: 159.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 538.4780 62.2837 0.001 405.1333 655.3268
opcount 0.0120 0.0008 0.001 0.0105 0.0136
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · nethermind
nobs 66
R² 0.889
coef (ms) 0.006286
p-value 1.00e-03
95% CI [0.005734, 0.006803]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.889
Model: NNLS Adj. R-squared: 0.887
No. Observations: 66 RMSE: 52.80
Df Residuals: 64 MAE: 42.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.9579 19.5786 0.006 7.6665 86.0878
opcount 0.0063 0.0003 0.001 0.0057 0.0068
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · reth
nobs 66
R² 0.9793
coef (ms) 0.001113
p-value 1.00e-03
95% CI [0.001075, 0.001153]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.979
Model: NNLS Adj. R-squared: 0.979
No. Observations: 66 RMSE: 3.85
Df Residuals: 64 MAE: 3.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.2049 1.5925 0.001 28.9474 35.0744
opcount 0.0011 0.0000 0.001 0.0011 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 33
R² 0.9983
coef (ms) 0.009431
p-value 1.00e-03
95% CI [0.009303, 0.009585]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 9.13
Df Residuals: 31 MAE: 7.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.0478 5.5823 0.006 6.3991 28.3842
opcount 0.0094 0.0001 0.001 0.0093 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 99
R² 0.647
coef (ms) 0.03323
p-value 1.00e-03
95% CI [0.02869, 0.03832]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.647
Model: NNLS Adj. R-squared: 0.643
No. Observations: 99 RMSE: 583.61
Df Residuals: 97 MAE: 459.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1573.6991 183.6373 0.001 1205.0569 1911.6143
opcount 0.0332 0.0025 0.001 0.0287 0.0383
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 66
R² 0.7852
coef (ms) 0.005891
p-value 1.00e-03
95% CI [0.005351, 0.006607]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.785
Model: NNLS Adj. R-squared: 0.782
No. Observations: 66 RMSE: 73.25
Df Residuals: 64 MAE: 45.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.3962 17.8670 0.014 5.8463 77.4934
opcount 0.0059 0.0003 0.001 0.0054 0.0066
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 66
R² 0.9725
coef (ms) 0.0009521
p-value 1.00e-03
95% CI [0.0009094, 0.0009979]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 66 RMSE: 3.81
Df Residuals: 64 MAE: 3.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.9556 1.6656 0.001 27.7212 34.2725
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 33
R² 0.8782
coef (ms) 0.08689
p-value 1.00e-03
95% CI [0.07413, 0.09619]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.874
No. Observations: 33 RMSE: 659.22
Df Residuals: 31 MAE: 571.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1473.0208 441.0786 0.001 718.2871 2469.8222
opcount 0.0869 0.0058 0.001 0.0741 0.0962
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · geth
nobs 99
R² 0.7244
coef (ms) 0.0362
p-value 1.00e-03
95% CI [0.03251, 0.04006]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.724
Model: NNLS Adj. R-squared: 0.722
No. Observations: 99 RMSE: 454.93
Df Residuals: 97 MAE: 358.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1468.5189 134.7931 0.001 1201.0866 1723.8083
opcount 0.0362 0.0019 0.001 0.0325 0.0401
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 66
R² 0.8957
coef (ms) 0.02033
p-value 1.00e-03
95% CI [0.01859, 0.02216]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.894
No. Observations: 66 RMSE: 141.34
Df Residuals: 64 MAE: 113.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 255.6035 52.0646 0.001 154.9015 357.8632
opcount 0.0203 0.0009 0.001 0.0186 0.0222
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · reth
nobs 66
R² 0.9693
coef (ms) 0.03744
p-value 1.00e-03
95% CI [0.03693, 0.03798]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 66 RMSE: 140.88
Df Residuals: 64 MAE: 100.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.9827 1.000 0.0000 0.0000
opcount 0.0374 0.0003 0.001 0.0369 0.0380
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 33
R² 0.9983
coef (ms) 0.009431
p-value 1.00e-03
95% CI [0.009303, 0.009585]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 9.13
Df Residuals: 31 MAE: 7.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.0478 5.5823 0.006 6.3991 28.3842
opcount 0.0094 0.0001 0.001 0.0093 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 99
R² 0.647
coef (ms) 0.03323
p-value 1.00e-03
95% CI [0.02869, 0.03832]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.647
Model: NNLS Adj. R-squared: 0.643
No. Observations: 99 RMSE: 583.61
Df Residuals: 97 MAE: 459.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1573.6991 183.6373 0.001 1205.0569 1911.6143
opcount 0.0332 0.0025 0.001 0.0287 0.0383
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 66
R² 0.7852
coef (ms) 0.005891
p-value 1.00e-03
95% CI [0.005351, 0.006607]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.785
Model: NNLS Adj. R-squared: 0.782
No. Observations: 66 RMSE: 73.25
Df Residuals: 64 MAE: 45.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.3962 17.8670 0.014 5.8463 77.4934
opcount 0.0059 0.0003 0.001 0.0054 0.0066
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 66
R² 0.9725
coef (ms) 0.0009521
p-value 1.00e-03
95% CI [0.0009094, 0.0009979]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 66 RMSE: 3.81
Df Residuals: 64 MAE: 3.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.9556 1.6656 0.001 27.7212 34.2725
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · erigon
nobs 33
R² 0.8709
coef (ms) 0.0002753
p-value 1.00e-03
95% CI [0.0002412, 0.0003123]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.867
No. Observations: 33 RMSE: 54.86
Df Residuals: 31 MAE: 36.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.5010 23.7053 0.029 0.0000 98.5955
opcount 0.0003 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · geth
nobs 99
R² 0.9672
coef (ms) 0.000553
p-value 1.00e-03
95% CI [0.0005342, 0.0005722]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 99 RMSE: 52.70
Df Residuals: 97 MAE: 38.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.6663 14.1774 0.052 0.0000 53.2976
opcount 0.0006 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · nethermind
nobs 66
R² 0.5244
coef (ms) 0.0004164
p-value 1.00e-03
95% CI [0.0003104, 0.0005198]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.524
Model: NNLS Adj. R-squared: 0.517
No. Observations: 66 RMSE: 205.25
Df Residuals: 64 MAE: 170.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 465.8859 76.9028 0.001 315.4236 618.8320
opcount 0.0004 0.0001 0.001 0.0003 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · reth
nobs 66
R² 0.9269
coef (ms) 4.425e-05
p-value 1.00e-03
95% CI [4.149e-05, 4.727e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.926
No. Observations: 66 RMSE: 6.43
Df Residuals: 64 MAE: 5.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.5852 2.5968 0.001 15.8048 25.4794
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 33
R² 0.7996
coef (ms) 6.342e-05
p-value 1.00e-03
95% CI [5.231e-05, 7.472e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.793
No. Observations: 33 RMSE: 8.15
Df Residuals: 31 MAE: 6.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.1318 4.6890 0.001 34.2438 52.8302
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 99
R² 0.9325
coef (ms) 0.0007962
p-value 1.00e-03
95% CI [0.0007544, 0.0008392]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.932
No. Observations: 99 RMSE: 55.00
Df Residuals: 97 MAE: 37.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.4238 15.6051 0.029 0.0000 62.9926
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 66
R² 0.8695
coef (ms) 0.0003186
p-value 1.00e-03
95% CI [0.0002883, 0.0003467]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.867
No. Observations: 66 RMSE: 31.69
Df Residuals: 64 MAE: 22.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 108.2847 12.3103 0.001 86.2523 133.6363
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 66
R² 0.6784
coef (ms) 1.719e-05
p-value 1.00e-03
95% CI [1.442e-05, 2.04e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.678
Model: NNLS Adj. R-squared: 0.673
No. Observations: 66 RMSE: 3.04
Df Residuals: 64 MAE: 2.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8952 1.1547 0.001 3.6656 8.1686
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · erigon
nobs 33
R² 0.9247
coef (ms) 0.0003134
p-value 1.00e-03
95% CI [0.0002792, 0.0003414]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.922
No. Observations: 33 RMSE: 8.84
Df Residuals: 31 MAE: 7.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.9402 5.6729 0.001 34.7141 57.4103
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · geth
nobs 99
R² 0.9662
coef (ms) 0.002884
p-value 1.00e-03
95% CI [0.002771, 0.002995]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 99 RMSE: 53.33
Df Residuals: 97 MAE: 39.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3226 15.7189 0.030 0.0000 62.5652
opcount 0.0029 0.0001 0.001 0.0028 0.0030
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · nethermind
nobs 66
R² 0.733
coef (ms) 0.001025
p-value 1.00e-03
95% CI [0.0008776, 0.001168]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.733
Model: NNLS Adj. R-squared: 0.729
No. Observations: 66 RMSE: 61.13
Df Residuals: 64 MAE: 45.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 230.8243 27.1939 0.001 177.8390 282.6730
opcount 0.0010 0.0001 0.001 0.0009 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · reth
nobs 66
R² 0.815
coef (ms) 8.005e-05
p-value 1.00e-03
95% CI [7.057e-05, 9.016e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.812
No. Observations: 66 RMSE: 3.77
Df Residuals: 64 MAE: 2.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.5415 1.5899 0.001 7.3132 13.5035
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 33
R² 0.7996
coef (ms) 6.342e-05
p-value 1.00e-03
95% CI [5.231e-05, 7.472e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.793
No. Observations: 33 RMSE: 8.15
Df Residuals: 31 MAE: 6.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.1318 4.6890 0.001 34.2438 52.8302
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 99
R² 0.9325
coef (ms) 0.0007962
p-value 1.00e-03
95% CI [0.0007544, 0.0008392]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.932
No. Observations: 99 RMSE: 55.00
Df Residuals: 97 MAE: 37.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.4238 15.6051 0.029 0.0000 62.9926
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 66
R² 0.8695
coef (ms) 0.0003186
p-value 1.00e-03
95% CI [0.0002883, 0.0003467]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.867
No. Observations: 66 RMSE: 31.69
Df Residuals: 64 MAE: 22.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 108.2847 12.3103 0.001 86.2523 133.6363
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 66
R² 0.6784
coef (ms) 1.719e-05
p-value 1.00e-03
95% CI [1.442e-05, 2.04e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.678
Model: NNLS Adj. R-squared: 0.673
No. Observations: 66 RMSE: 3.04
Df Residuals: 64 MAE: 2.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8952 1.1547 0.001 3.6656 8.1686
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 33
R² 0.9983
coef (ms) 0.00858
p-value 1.00e-03
95% CI [0.008453, 0.008679]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 8.41
Df Residuals: 31 MAE: 7.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5148 4.6307 0.079 0.0000 16.9994
opcount 0.0086 0.0001 0.001 0.0085 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 99
R² 0.8112
coef (ms) 0.04016
p-value 1.00e-03
95% CI [0.03566, 0.04412]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.809
No. Observations: 99 RMSE: 462.94
Df Residuals: 97 MAE: 338.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1272.8735 145.4273 0.001 996.2775 1587.1788
opcount 0.0402 0.0021 0.001 0.0357 0.0441
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 66
R² 0.8729
coef (ms) 0.005137
p-value 1.00e-03
95% CI [0.004748, 0.005508]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.871
No. Observations: 66 RMSE: 46.85
Df Residuals: 64 MAE: 36.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.8496 14.7323 0.035 0.0000 59.3993
opcount 0.0051 0.0002 0.001 0.0047 0.0055
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 66
R² 0.9615
coef (ms) 0.0009128
p-value 1.00e-03
95% CI [0.0008694, 0.0009568]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.961
Model: NNLS Adj. R-squared: 0.961
No. Observations: 66 RMSE: 4.37
Df Residuals: 64 MAE: 3.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.6623 1.6733 0.001 29.5495 36.1272
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · erigon
nobs 33
R² 0.901
coef (ms) 0.03535
p-value 1.00e-03
95% CI [0.03096, 0.03886]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.901
Model: NNLS Adj. R-squared: 0.898
No. Observations: 33 RMSE: 243.75
Df Residuals: 31 MAE: 205.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 431.8327 150.8367 0.001 173.4343 769.8351
opcount 0.0354 0.0020 0.001 0.0310 0.0389
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · geth
nobs 99
R² 0.6835
coef (ms) 0.03422
p-value 1.00e-03
95% CI [0.03032, 0.0381]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.683
Model: NNLS Adj. R-squared: 0.680
No. Observations: 99 RMSE: 484.51
Df Residuals: 97 MAE: 391.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1531.3205 138.8726 0.001 1257.4552 1811.4859
opcount 0.0342 0.0020 0.001 0.0303 0.0381
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · nethermind
nobs 66
R² 0.9034
coef (ms) 0.01977
p-value 1.00e-03
95% CI [0.01838, 0.02134]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.903
Model: NNLS Adj. R-squared: 0.902
No. Observations: 66 RMSE: 134.49
Df Residuals: 64 MAE: 112.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 221.9469 47.3185 0.001 124.7914 309.0789
opcount 0.0198 0.0007 0.001 0.0184 0.0213
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · reth
nobs 66
R² 0.8642
coef (ms) 0.03554
p-value 1.00e-03
95% CI [0.03299, 0.03822]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.862
No. Observations: 66 RMSE: 293.09
Df Residuals: 64 MAE: 161.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 223.7972 98.7227 0.013 24.6368 410.2047
opcount 0.0355 0.0013 0.001 0.0330 0.0382
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 33
R² 0.9983
coef (ms) 0.00858
p-value 1.00e-03
95% CI [0.008453, 0.008679]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 8.41
Df Residuals: 31 MAE: 7.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5148 4.6307 0.079 0.0000 16.9994
opcount 0.0086 0.0001 0.001 0.0085 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 99
R² 0.8112
coef (ms) 0.04016
p-value 1.00e-03
95% CI [0.03566, 0.04412]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.809
No. Observations: 99 RMSE: 462.94
Df Residuals: 97 MAE: 338.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1272.8735 145.4273 0.001 996.2775 1587.1788
opcount 0.0402 0.0021 0.001 0.0357 0.0441
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 66
R² 0.8729
coef (ms) 0.005137
p-value 1.00e-03
95% CI [0.004748, 0.005508]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.871
No. Observations: 66 RMSE: 46.85
Df Residuals: 64 MAE: 36.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.8496 14.7323 0.035 0.0000 59.3993
opcount 0.0051 0.0002 0.001 0.0047 0.0055
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 66
R² 0.9615
coef (ms) 0.0009128
p-value 1.00e-03
95% CI [0.0008694, 0.0009568]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.961
Model: NNLS Adj. R-squared: 0.961
No. Observations: 66 RMSE: 4.37
Df Residuals: 64 MAE: 3.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.6623 1.6733 0.001 29.5495 36.1272
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · erigon
nobs 33
R² 0.9582
coef (ms) 0.0002423
p-value 1.00e-03
95% CI [0.0002212, 0.000262]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.957
No. Observations: 33 RMSE: 29.59
Df Residuals: 31 MAE: 23.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 66.4310 18.7420 0.001 33.2719 106.1073
opcount 0.0002 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · geth
nobs 99
R² 0.9532
coef (ms) 0.0001956
p-value 1.00e-03
95% CI [0.0001877, 0.0002039]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.953
No. Observations: 99 RMSE: 25.33
Df Residuals: 97 MAE: 18.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5106 6.9745 0.047 0.0000 26.3297
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · nethermind
nobs 66
R² 0.6561
coef (ms) 0.0001983
p-value 1.00e-03
95% CI [0.0001596, 0.0002341]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.651
No. Observations: 66 RMSE: 83.93
Df Residuals: 64 MAE: 67.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 151.5224 30.9974 0.001 91.1685 214.0781
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · reth
nobs 66
R² 0.6832
coef (ms) 7.664e-06
p-value 1.00e-03
95% CI [6.594e-06, 8.709e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.683
Model: NNLS Adj. R-squared: 0.678
No. Observations: 66 RMSE: 3.05
Df Residuals: 64 MAE: 2.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.8486 1.0540 0.001 4.8934 9.0388
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 33
R² 0.9976
coef (ms) 0.008734
p-value 1.00e-03
95% CI [0.008577, 0.008883]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 10.19
Df Residuals: 31 MAE: 8.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.3981 6.4971 0.023 0.6146 26.1311
opcount 0.0087 0.0001 0.001 0.0086 0.0089
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 99
R² 0.7963
coef (ms) 0.03939
p-value 1.00e-03
95% CI [0.03523, 0.04366]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.796
Model: NNLS Adj. R-squared: 0.794
No. Observations: 99 RMSE: 476.12
Df Residuals: 97 MAE: 359.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1276.8197 142.6857 0.001 1002.1331 1547.6312
opcount 0.0394 0.0021 0.001 0.0352 0.0437
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 66
R² 0.8268
coef (ms) 0.00455
p-value 1.00e-03
95% CI [0.004056, 0.004975]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.824
No. Observations: 66 RMSE: 49.78
Df Residuals: 64 MAE: 36.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 66.1184 17.4209 0.001 33.5054 102.0350
opcount 0.0045 0.0002 0.001 0.0041 0.0050
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 66
R² 0.9646
coef (ms) 0.0009111
p-value 1.00e-03
95% CI [0.0008699, 0.0009458]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.964
No. Observations: 66 RMSE: 4.17
Df Residuals: 64 MAE: 3.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.9837 1.6442 0.001 29.2050 35.5474
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · erigon
nobs 33
R² 0.8696
coef (ms) 0.08554
p-value 1.00e-03
95% CI [0.07247, 0.09519]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.865
No. Observations: 33 RMSE: 689.05
Df Residuals: 31 MAE: 591.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1520.3866 447.9622 0.001 759.7332 2536.6437
opcount 0.0855 0.0057 0.001 0.0725 0.0952
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · geth
nobs 99
R² 0.7924
coef (ms) 0.0439
p-value 1.00e-03
95% CI [0.03919, 0.0486]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.790
No. Observations: 99 RMSE: 467.48
Df Residuals: 97 MAE: 335.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1078.3131 138.7193 0.001 774.5310 1339.9121
opcount 0.0439 0.0024 0.001 0.0392 0.0486
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 66
R² 0.9204
coef (ms) 0.02129
p-value 1.00e-03
95% CI [0.01942, 0.02298]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.919
No. Observations: 66 RMSE: 130.26
Df Residuals: 64 MAE: 104.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 125.8801 52.2856 0.008 29.8201 230.1232
opcount 0.0213 0.0009 0.001 0.0194 0.0230
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · reth
nobs 66
R² 0.9057
coef (ms) 0.03597
p-value 1.00e-03
95% CI [0.03361, 0.03893]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.906
Model: NNLS Adj. R-squared: 0.904
No. Observations: 66 RMSE: 241.52
Df Residuals: 64 MAE: 128.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 187.7506 83.4841 0.028 0.0000 349.7646
opcount 0.0360 0.0013 0.001 0.0336 0.0389
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 33
R² 0.9976
coef (ms) 0.008734
p-value 1.00e-03
95% CI [0.008577, 0.008883]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 10.19
Df Residuals: 31 MAE: 8.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.3981 6.4971 0.023 0.6146 26.1311
opcount 0.0087 0.0001 0.001 0.0086 0.0089
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 99
R² 0.7963
coef (ms) 0.03939
p-value 1.00e-03
95% CI [0.03523, 0.04366]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.796
Model: NNLS Adj. R-squared: 0.794
No. Observations: 99 RMSE: 476.12
Df Residuals: 97 MAE: 359.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1276.8197 142.6857 0.001 1002.1331 1547.6312
opcount 0.0394 0.0021 0.001 0.0352 0.0437
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 66
R² 0.8268
coef (ms) 0.00455
p-value 1.00e-03
95% CI [0.004056, 0.004975]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.824
No. Observations: 66 RMSE: 49.78
Df Residuals: 64 MAE: 36.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 66.1184 17.4209 0.001 33.5054 102.0350
opcount 0.0045 0.0002 0.001 0.0041 0.0050
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 66
R² 0.9646
coef (ms) 0.0009111
p-value 1.00e-03
95% CI [0.0008699, 0.0009458]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.964
No. Observations: 66 RMSE: 4.17
Df Residuals: 64 MAE: 3.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.9837 1.6442 0.001 29.2050 35.5474
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · erigon
nobs 33
R² 0.9088
coef (ms) 4.005e-05
p-value 1.00e-03
95% CI [3.537e-05, 4.428e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.909
Model: NNLS Adj. R-squared: 0.906
No. Observations: 33 RMSE: 7.42
Df Residuals: 31 MAE: 5.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.1919 4.2253 0.001 36.9126 53.5383
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · geth
nobs 99
R² 0.9634
coef (ms) 0.0001459
p-value 1.00e-03
95% CI [0.0001402, 0.0001519]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 99 RMSE: 16.62
Df Residuals: 97 MAE: 12.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6459 4.8478 0.003 3.4338 22.6032
opcount 0.0001 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · nethermind
nobs 66
R² 0.7687
coef (ms) 0.0001754
p-value 1.00e-03
95% CI [0.0001493, 0.0001997]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.769
Model: NNLS Adj. R-squared: 0.765
No. Observations: 66 RMSE: 56.27
Df Residuals: 64 MAE: 46.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.1981 23.6291 0.001 42.8406 136.8846
opcount 0.0002 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · reth
nobs 66
R² 0.5655
coef (ms) 5.426e-06
p-value 1.00e-03
95% CI [4.468e-06, 6.72e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.565
Model: NNLS Adj. R-squared: 0.559
No. Observations: 66 RMSE: 2.78
Df Residuals: 64 MAE: 1.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.5965 0.9020 0.001 3.6519 7.1634
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · erigon
nobs 33
R² 0.9985
coef (ms) 0.01014
p-value 1.00e-03
95% CI [0.01001, 0.01028]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 33 RMSE: 9.48
Df Residuals: 31 MAE: 7.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.4166 5.2325 0.001 31.2954 50.7039
opcount 0.0101 0.0001 0.001 0.0100 0.0103
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · geth
nobs 99
R² 0.7317
coef (ms) 0.01216
p-value 1.00e-03
95% CI [0.01071, 0.01372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.732
Model: NNLS Adj. R-squared: 0.729
No. Observations: 99 RMSE: 175.08
Df Residuals: 97 MAE: 151.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 532.9790 61.8908 0.001 411.1670 651.8708
opcount 0.0122 0.0008 0.001 0.0107 0.0137
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · nethermind
nobs 66
R² 0.8041
coef (ms) 0.006508
p-value 1.00e-03
95% CI [0.005771, 0.007056]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.801
No. Observations: 66 RMSE: 76.37
Df Residuals: 64 MAE: 55.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.2909 20.8291 0.177 0.0000 69.7199
opcount 0.0065 0.0003 0.001 0.0058 0.0071
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · reth
nobs 66
R² 0.978
coef (ms) 0.001159
p-value 1.00e-03
95% CI [0.001113, 0.001207]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.978
No. Observations: 66 RMSE: 4.13
Df Residuals: 64 MAE: 3.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.9481 1.7656 0.001 26.0930 33.1741
opcount 0.0012 0.0000 0.001 0.0011 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 33
R² 0.9975
coef (ms) 0.0117
p-value 1.00e-03
95% CI [0.01159, 0.01176]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 33 RMSE: 14.02
Df Residuals: 31 MAE: 10.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.0462 1.000 0.0000 7.9791
opcount 0.0117 0.0000 0.001 0.0116 0.0118
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 99
R² 0.7061
coef (ms) 0.03517
p-value 1.00e-03
95% CI [0.03055, 0.03963]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.706
Model: NNLS Adj. R-squared: 0.703
No. Observations: 99 RMSE: 539.44
Df Residuals: 97 MAE: 420.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1520.4446 172.4491 0.001 1180.0313 1869.1914
opcount 0.0352 0.0023 0.001 0.0306 0.0396
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 66
R² 0.798
coef (ms) 0.005009
p-value 1.00e-03
95% CI [0.00434, 0.005585]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.795
No. Observations: 66 RMSE: 59.92
Df Residuals: 64 MAE: 42.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 118.2717 23.8832 0.001 76.4691 170.2314
opcount 0.0050 0.0003 0.001 0.0043 0.0056
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 66
R² 0.9692
coef (ms) 0.0009865
p-value 1.00e-03
95% CI [0.0009383, 0.001035]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 66 RMSE: 4.18
Df Residuals: 64 MAE: 3.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.8105 1.9529 0.001 27.0734 34.7544
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 33
R² 0.8727
coef (ms) 0.08701
p-value 1.00e-03
95% CI [0.07444, 0.09671]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.869
No. Observations: 33 RMSE: 676.94
Df Residuals: 31 MAE: 583.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1483.6630 443.8748 0.001 776.5723 2453.5238
opcount 0.0870 0.0058 0.001 0.0744 0.0967
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · geth
nobs 99
R² 0.7909
coef (ms) 0.04312
p-value 1.00e-03
95% CI [0.03846, 0.04812]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.789
No. Observations: 99 RMSE: 451.72
Df Residuals: 97 MAE: 362.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1218.9353 139.2615 0.001 927.4201 1476.8242
opcount 0.0431 0.0024 0.001 0.0385 0.0481
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 66
R² 0.9266
coef (ms) 0.0221
p-value 1.00e-03
95% CI [0.02058, 0.02361]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.925
No. Observations: 66 RMSE: 126.76
Df Residuals: 64 MAE: 99.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 152.5674 41.9196 0.001 65.3345 234.4536
opcount 0.0221 0.0008 0.001 0.0206 0.0236
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · reth
nobs 66
R² 0.9523
coef (ms) 0.03566
p-value 1.00e-03
95% CI [0.03315, 0.0381]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 66 RMSE: 162.48
Df Residuals: 64 MAE: 123.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 203.7729 94.3275 0.017 24.9713 387.9693
opcount 0.0357 0.0013 0.001 0.0331 0.0381
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 33
R² 0.9975
coef (ms) 0.0117
p-value 1.00e-03
95% CI [0.01159, 0.01176]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 33 RMSE: 14.02
Df Residuals: 31 MAE: 10.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.0462 1.000 0.0000 7.9791
opcount 0.0117 0.0000 0.001 0.0116 0.0118
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 99
R² 0.7061
coef (ms) 0.03517
p-value 1.00e-03
95% CI [0.03055, 0.03963]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.706
Model: NNLS Adj. R-squared: 0.703
No. Observations: 99 RMSE: 539.44
Df Residuals: 97 MAE: 420.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1520.4446 172.4491 0.001 1180.0313 1869.1914
opcount 0.0352 0.0023 0.001 0.0306 0.0396
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 66
R² 0.798
coef (ms) 0.005009
p-value 1.00e-03
95% CI [0.00434, 0.005585]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.795
No. Observations: 66 RMSE: 59.92
Df Residuals: 64 MAE: 42.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 118.2717 23.8832 0.001 76.4691 170.2314
opcount 0.0050 0.0003 0.001 0.0043 0.0056
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 66
R² 0.9692
coef (ms) 0.0009865
p-value 1.00e-03
95% CI [0.0009383, 0.001035]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 66 RMSE: 4.18
Df Residuals: 64 MAE: 3.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.8105 1.9529 0.001 27.0734 34.7544
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · erigon
nobs 33
R² 0.9707
coef (ms) 0.0004715
p-value 1.00e-03
95% CI [0.0004404, 0.0005003]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.970
No. Observations: 33 RMSE: 42.42
Df Residuals: 31 MAE: 35.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.3122 23.7551 0.002 25.4826 119.7843
opcount 0.0005 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · geth
nobs 99
R² 0.9726
coef (ms) 0.0006552
p-value 1.00e-03
95% CI [0.0006309, 0.0006714]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.972
No. Observations: 99 RMSE: 56.96
Df Residuals: 97 MAE: 39.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7509 16.6488 0.223 0.0000 54.1597
opcount 0.0007 0.0000 0.001 0.0006 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · nethermind
nobs 66
R² 0.5903
coef (ms) 0.000488
p-value 1.00e-03
95% CI [0.0003692, 0.0006006]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.590
Model: NNLS Adj. R-squared: 0.584
No. Observations: 66 RMSE: 210.47
Df Residuals: 64 MAE: 167.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 361.7950 86.6888 0.001 198.3006 538.0039
opcount 0.0005 0.0001 0.001 0.0004 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · reth
nobs 66
R² 0.9267
coef (ms) 4.944e-05
p-value 1.00e-03
95% CI [4.563e-05, 5.318e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.926
No. Observations: 66 RMSE: 7.20
Df Residuals: 64 MAE: 6.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.1022 3.2492 0.002 6.8021 19.3036
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================