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.
SLOAD · test_sload_bloated · combo False · besu
nobs 462
R² 0.9222
coef (ms) 0.007826
p-value 1.00e-03
95% CI [0.007625, 0.008052]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.922
Model: NNLS Adj. R-squared: 0.922
No. Observations: 462 RMSE: 66.89
Df Residuals: 460 MAE: 53.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 113.9338 9.7426 0.001 94.1738 131.9629
opcount 0.0078 0.0001 0.001 0.0076 0.0081
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · erigon
nobs 154
R² 0.9775
coef (ms) 0.006547
p-value 1.00e-03
95% CI [0.006379, 0.006651]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 154 RMSE: 29.24
Df Residuals: 152 MAE: 23.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.6673 6.1213 0.176 0.0000 20.2994
opcount 0.0065 0.0001 0.001 0.0064 0.0067
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · ethrex
nobs 440
R² 0.8978
coef (ms) 0.00981
p-value 1.00e-03
95% CI [0.009681, 0.009939]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.898
Model: NNLS Adj. R-squared: 0.898
No. Observations: 440 RMSE: 126.49
Df Residuals: 438 MAE: 107.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0098 0.0001 0.001 0.0097 0.0099
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · geth
nobs 440
R² 0.9679
coef (ms) 0.0243
p-value 1.00e-03
95% CI [0.02385, 0.02474]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 440 RMSE: 130.30
Df Residuals: 438 MAE: 106.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 551.0256 19.2637 0.001 513.3694 591.5476
opcount 0.0243 0.0002 0.001 0.0238 0.0247
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · nethermind
nobs 363
R² 0.8738
coef (ms) 0.003355
p-value 1.00e-03
95% CI [0.003217, 0.003493]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.873
No. Observations: 363 RMSE: 37.52
Df Residuals: 361 MAE: 27.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.6762 5.7510 0.001 42.1965 64.8619
opcount 0.0034 0.0001 0.001 0.0032 0.0035
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · reth
nobs 539
R² 0.9484
coef (ms) 0.001249
p-value 1.00e-03
95% CI [0.001221, 0.001274]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.948
Model: NNLS Adj. R-squared: 0.948
No. Observations: 539 RMSE: 8.57
Df Residuals: 537 MAE: 6.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.7878 1.2160 0.001 35.4498 40.3683
opcount 0.0012 0.0000 0.001 0.0012 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · besu
nobs 462
R² 0.9725
coef (ms) 0.01485
p-value 1.00e-03
95% CI [0.01464, 0.01508]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 462 RMSE: 73.51
Df Residuals: 460 MAE: 51.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 340.6043 10.0230 0.001 320.1931 360.5488
opcount 0.0149 0.0001 0.001 0.0146 0.0151
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · erigon
nobs 154
R² 0.9804
coef (ms) 0.006427
p-value 1.00e-03
95% CI [0.006361, 0.006476]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 154 RMSE: 27.05
Df Residuals: 152 MAE: 21.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.2697 1.000 0.0000 4.3827
opcount 0.0064 0.0000 0.001 0.0064 0.0065
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · ethrex
nobs 440
R² 0.9423
coef (ms) 0.01401
p-value 1.00e-03
95% CI [0.01388, 0.01414]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 440 RMSE: 123.29
Df Residuals: 438 MAE: 107.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0140 0.0001 0.001 0.0139 0.0141
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · geth
nobs 440
R² 0.9628
coef (ms) 0.02377
p-value 1.00e-03
95% CI [0.02334, 0.02423]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 440 RMSE: 137.40
Df Residuals: 438 MAE: 111.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 519.4431 20.3898 0.001 479.8456 558.7568
opcount 0.0238 0.0002 0.001 0.0233 0.0242
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · nethermind
nobs 363
R² 0.973
coef (ms) 0.008893
p-value 1.00e-03
95% CI [0.008729, 0.009047]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 363 RMSE: 43.60
Df Residuals: 361 MAE: 34.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 107.9859 7.1449 0.001 94.8735 122.2130
opcount 0.0089 0.0001 0.001 0.0087 0.0090
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · reth
nobs 539
R² 0.9521
coef (ms) 0.001433
p-value 1.00e-03
95% CI [0.001406, 0.001458]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 539 RMSE: 9.46
Df Residuals: 537 MAE: 7.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.0230 1.2343 0.001 29.6044 34.4321
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 · besu
nobs 924
R² 0.6546
coef (ms) 0.0002493
p-value 1.00e-03
95% CI [0.0002377, 0.0002605]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.655
Model: NNLS Adj. R-squared: 0.654
No. Observations: 924 RMSE: 114.37
Df Residuals: 922 MAE: 89.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 332.6900 11.7337 0.001 309.7105 356.3283
opcount 0.0002 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · erigon
nobs 308
R² 0.8851
coef (ms) 4.727e-05
p-value 1.00e-03
95% CI [4.548e-05, 4.914e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.885
No. Observations: 308 RMSE: 10.76
Df Residuals: 306 MAE: 7.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.4015 1.7329 0.001 17.6749 24.7378
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · ethrex
nobs 880
R² 0.6636
coef (ms) 2.157e-05
p-value 1.00e-03
95% CI [2.043e-05, 2.277e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.664
Model: NNLS Adj. R-squared: 0.663
No. Observations: 880 RMSE: 9.70
Df Residuals: 878 MAE: 7.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.9752 1.3061 0.001 18.3208 23.5399
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · geth
nobs 880
R² 0.8165
coef (ms) 4.36e-05
p-value 1.00e-03
95% CI [4.209e-05, 4.505e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.816
No. Observations: 880 RMSE: 13.05
Df Residuals: 878 MAE: 10.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.9731 1.3985 0.001 25.2500 30.8894
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · nethermind
nobs 726
R² 0.7689
coef (ms) 0.000151
p-value 1.00e-03
95% CI [0.0001451, 0.0001567]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.769
Model: NNLS Adj. R-squared: 0.769
No. Observations: 726 RMSE: 52.28
Df Residuals: 724 MAE: 39.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 108.2032 5.9625 0.001 97.1129 120.3081
opcount 0.0002 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 1078
R² 0.4697
coef (ms) 8.075e-06
p-value 1.00e-03
95% CI [7.504e-06, 8.762e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.470
Model: NNLS Adj. R-squared: 0.469
No. Observations: 1078 RMSE: 5.42
Df Residuals: 1076 MAE: 3.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.6678 0.5597 0.001 6.5047 8.6431
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] · besu
nobs 462
R² 0.663
coef (ms) 0.007943
p-value 1.00e-03
95% CI [0.007427, 0.008475]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.663
Model: NNLS Adj. R-squared: 0.662
No. Observations: 462 RMSE: 160.03
Df Residuals: 460 MAE: 128.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 454.5109 24.7193 0.001 405.9785 505.2992
opcount 0.0079 0.0003 0.001 0.0074 0.0085
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · erigon
nobs 154
R² 0.9735
coef (ms) 0.006577
p-value 1.00e-03
95% CI [0.006431, 0.006636]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 154 RMSE: 30.83
Df Residuals: 152 MAE: 23.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 3.4371 1.000 0.0000 12.6302
opcount 0.0066 0.0001 0.001 0.0064 0.0066
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · ethrex
nobs 440
R² 0.9261
coef (ms) 0.01034
p-value 1.00e-03
95% CI [0.01022, 0.01044]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.926
No. Observations: 440 RMSE: 100.95
Df Residuals: 438 MAE: 86.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0103 0.0001 0.001 0.0102 0.0104
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · geth
nobs 440
R² 0.9709
coef (ms) 0.02397
p-value 1.00e-03
95% CI [0.02353, 0.02434]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 440 RMSE: 117.33
Df Residuals: 438 MAE: 95.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 560.2784 18.1350 0.001 527.2000 598.0889
opcount 0.0240 0.0002 0.001 0.0235 0.0243
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · nethermind
nobs 363
R² 0.9084
coef (ms) 0.003296
p-value 1.00e-03
95% CI [0.003183, 0.003409]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.908
No. Observations: 363 RMSE: 29.59
Df Residuals: 361 MAE: 22.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.6768 4.7758 0.001 48.7712 66.9402
opcount 0.0033 0.0001 0.001 0.0032 0.0034
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · reth
nobs 539
R² 0.9516
coef (ms) 0.001277
p-value 1.00e-03
95% CI [0.001253, 0.001301]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 539 RMSE: 8.13
Df Residuals: 537 MAE: 6.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.8972 1.0815 0.001 33.8599 38.0443
opcount 0.0013 0.0000 0.001 0.0013 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · besu
nobs 462
R² 0.9256
coef (ms) 0.01517
p-value 1.00e-03
95% CI [0.01479, 0.01556]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.925
No. Observations: 462 RMSE: 121.59
Df Residuals: 460 MAE: 95.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 579.6483 17.7938 0.001 544.1499 613.1370
opcount 0.0152 0.0002 0.001 0.0148 0.0156
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · erigon
nobs 154
R² 0.9727
coef (ms) 0.006401
p-value 1.00e-03
95% CI [0.006308, 0.006459]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 154 RMSE: 30.70
Df Residuals: 152 MAE: 24.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.6297 1.000 0.0000 5.6001
opcount 0.0064 0.0000 0.001 0.0063 0.0065
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · ethrex
nobs 440
R² 0.9668
coef (ms) 0.01463
p-value 1.00e-03
95% CI [0.01453, 0.01472]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 440 RMSE: 86.72
Df Residuals: 438 MAE: 70.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0146 0.0000 0.001 0.0145 0.0147
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · geth
nobs 440
R² 0.9658
coef (ms) 0.02343
p-value 1.00e-03
95% CI [0.02299, 0.02388]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 440 RMSE: 124.54
Df Residuals: 438 MAE: 100.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 543.2005 19.2518 0.001 505.0698 581.0630
opcount 0.0234 0.0002 0.001 0.0230 0.0239
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · nethermind
nobs 363
R² 0.9749
coef (ms) 0.008983
p-value 1.00e-03
95% CI [0.008836, 0.009137]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 363 RMSE: 40.73
Df Residuals: 361 MAE: 31.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.6496 6.4535 0.001 87.9284 113.5988
opcount 0.0090 0.0001 0.001 0.0088 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · reth
nobs 539
R² 0.9544
coef (ms) 0.001461
p-value 1.00e-03
95% CI [0.001435, 0.00149]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.954
Model: NNLS Adj. R-squared: 0.954
No. Observations: 539 RMSE: 9.03
Df Residuals: 537 MAE: 7.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.5039 1.2469 0.001 28.0116 33.0576
opcount 0.0015 0.0000 0.001 0.0014 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · besu
nobs 462
R² 0.7558
coef (ms) 0.1356
p-value 1.00e-03
95% CI [0.1281, 0.1431]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.756
Model: NNLS Adj. R-squared: 0.755
No. Observations: 462 RMSE: 47.35
Df Residuals: 460 MAE: 41.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 379.7155 6.9992 0.001 366.3860 393.8479
opcount 0.1356 0.0037 0.001 0.1281 0.1431
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · erigon
nobs 154
R² 0.3676
coef (ms) 0.2138
p-value 1.00e-03
95% CI [0.1486, 0.2673]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.368
Model: NNLS Adj. R-squared: 0.363
No. Observations: 154 RMSE: 172.24
Df Residuals: 152 MAE: 110.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 302.9861 63.5946 0.001 195.6660 444.1305
opcount 0.2138 0.0298 0.001 0.1486 0.2673
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · ethrex
nobs 440
R² 0.4231
coef (ms) 0.01903
p-value 1.00e-03
95% CI [0.01711, 0.02084]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.423
Model: NNLS Adj. R-squared: 0.422
No. Observations: 440 RMSE: 13.65
Df Residuals: 438 MAE: 11.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 299.7418 2.0197 0.001 296.0051 303.6844
opcount 0.0190 0.0010 0.001 0.0171 0.0208
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · geth
nobs 440
R² 0.9196
coef (ms) 0.135
p-value 1.00e-03
95% CI [0.1312, 0.1387]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.919
No. Observations: 440 RMSE: 24.53
Df Residuals: 438 MAE: 17.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.1403 3.4896 0.001 65.8928 79.5523
opcount 0.1350 0.0019 0.001 0.1312 0.1387
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · nethermind
nobs 363
R² 0.6345
coef (ms) 0.04788
p-value 1.00e-03
95% CI [0.04398, 0.05178]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.634
Model: NNLS Adj. R-squared: 0.633
No. Observations: 363 RMSE: 22.32
Df Residuals: 361 MAE: 17.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 104.5998 3.6215 0.001 97.6809 111.6730
opcount 0.0479 0.0020 0.001 0.0440 0.0518
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · reth
nobs 539
R² 0.8796
coef (ms) 0.0391
p-value 1.00e-03
95% CI [0.03802, 0.04025]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.879
No. Observations: 539 RMSE: 8.88
Df Residuals: 537 MAE: 7.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.7529 1.2472 0.001 34.2598 38.9898
opcount 0.0391 0.0006 0.001 0.0380 0.0402
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · besu
nobs 462
R² 0.9575
coef (ms) 0.05847
p-value 1.00e-03
95% CI [0.05741, 0.05954]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.957
Model: NNLS Adj. R-squared: 0.957
No. Observations: 462 RMSE: 154.33
Df Residuals: 460 MAE: 124.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1059.5827 19.6865 0.001 1021.4952 1097.4899
opcount 0.0585 0.0005 0.001 0.0574 0.0595
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · erigon
nobs 154
R² 0.9465
coef (ms) 0.133
p-value 1.00e-03
95% CI [0.1278, 0.1382]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.946
No. Observations: 154 RMSE: 395.93
Df Residuals: 152 MAE: 300.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 585.3930 92.7667 0.001 399.5707 766.1776
opcount 0.1330 0.0026 0.001 0.1278 0.1382
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · ethrex
nobs 440
R² 0.9962
coef (ms) 0.02517
p-value 1.00e-03
95% CI [0.02502, 0.0253]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 440 RMSE: 19.38
Df Residuals: 438 MAE: 15.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 347.8118 2.7548 0.001 342.8035 353.2070
opcount 0.0252 0.0001 0.001 0.0250 0.0253
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · geth
nobs 440
R² 0.9843
coef (ms) 0.09338
p-value 1.00e-03
95% CI [0.09234, 0.09443]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 440 RMSE: 147.71
Df Residuals: 438 MAE: 124.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 661.8309 21.5805 0.001 621.1560 705.9905
opcount 0.0934 0.0005 0.001 0.0923 0.0944
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · nethermind
nobs 363
R² 0.9124
coef (ms) 0.03667
p-value 1.00e-03
95% CI [0.03549, 0.03783]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.912
Model: NNLS Adj. R-squared: 0.912
No. Observations: 363 RMSE: 142.27
Df Residuals: 361 MAE: 115.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 747.7349 24.2281 0.001 701.6240 795.9356
opcount 0.0367 0.0006 0.001 0.0355 0.0378
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · reth
nobs 539
R² 0.9948
coef (ms) 0.02392
p-value 1.00e-03
95% CI [0.02377, 0.02408]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 539 RMSE: 21.69
Df Residuals: 537 MAE: 17.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 161.9439 2.9035 0.001 156.1348 167.9636
opcount 0.0239 0.0001 0.001 0.0238 0.0241
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · besu
nobs 462
R² 0.8468
coef (ms) 0.0127
p-value 1.00e-03
95% CI [0.01222, 0.0132]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.847
Model: NNLS Adj. R-squared: 0.846
No. Observations: 462 RMSE: 129.13
Df Residuals: 460 MAE: 103.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 506.5126 18.6458 0.001 472.7648 544.1835
opcount 0.0127 0.0002 0.001 0.0122 0.0132
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · erigon
nobs 154
R² 0.9729
coef (ms) 0.009649
p-value 1.00e-03
95% CI [0.009382, 0.009866]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 154 RMSE: 38.49
Df Residuals: 152 MAE: 28.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0830 9.6490 0.060 0.0000 35.7123
opcount 0.0096 0.0001 0.001 0.0094 0.0099
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · ethrex
nobs 440
R² 0.9931
coef (ms) 0.007179
p-value 1.00e-03
95% CI [0.007118, 0.007236]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 440 RMSE: 14.30
Df Residuals: 438 MAE: 11.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.2627 2.0770 0.001 41.1742 49.3571
opcount 0.0072 0.0000 0.001 0.0071 0.0072
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · geth
nobs 440
R² 0.9084
coef (ms) 0.01068
p-value 1.00e-03
95% CI [0.0103, 0.01101]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.908
No. Observations: 440 RMSE: 81.05
Df Residuals: 438 MAE: 66.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 424.0258 15.3945 0.001 395.8721 456.1695
opcount 0.0107 0.0002 0.001 0.0103 0.0110
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · nethermind
nobs 363
R² 0.8264
coef (ms) 0.003985
p-value 1.00e-03
95% CI [0.003797, 0.004184]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 363 RMSE: 43.65
Df Residuals: 361 MAE: 34.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.1788 7.0273 0.001 63.9646 91.7492
opcount 0.0040 0.0001 0.001 0.0038 0.0042
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · reth
nobs 539
R² 0.922
coef (ms) 0.001053
p-value 1.00e-03
95% CI [0.001026, 0.001078]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.922
Model: NNLS Adj. R-squared: 0.922
No. Observations: 539 RMSE: 7.32
Df Residuals: 537 MAE: 5.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.1382 1.0038 0.001 43.2410 47.1796
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] · besu
nobs 462
R² 0.8307
coef (ms) 0.01317
p-value 1.00e-03
95% CI [0.01264, 0.0137]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.830
No. Observations: 462 RMSE: 142.02
Df Residuals: 460 MAE: 128.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 494.2058 21.0444 0.001 452.9192 535.7793
opcount 0.0132 0.0003 0.001 0.0126 0.0137
==============================================================================
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 154
R² 0.9812
coef (ms) 0.00874
p-value 1.00e-03
95% CI [0.008544, 0.008809]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 154 RMSE: 28.95
Df Residuals: 152 MAE: 19.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 3.7498 1.000 0.0000 12.4731
opcount 0.0087 0.0001 0.001 0.0085 0.0088
==============================================================================
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] · ethrex
nobs 440
R² 0.9632
coef (ms) 0.002003
p-value 1.00e-03
95% CI [0.001966, 0.002037]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 440 RMSE: 9.36
Df Residuals: 438 MAE: 7.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.7235 1.4054 0.001 24.0782 29.7138
opcount 0.0020 0.0000 0.001 0.0020 0.0020
==============================================================================
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 440
R² 0.8572
coef (ms) 0.02159
p-value 1.00e-03
95% CI [0.02073, 0.02249]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.857
No. Observations: 440 RMSE: 210.66
Df Residuals: 438 MAE: 178.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 711.5268 37.5462 0.001 642.7250 783.5572
opcount 0.0216 0.0004 0.001 0.0207 0.0225
==============================================================================
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 363
R² 0.8261
coef (ms) 0.003538
p-value 1.00e-03
95% CI [0.00337, 0.003697]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 363 RMSE: 38.80
Df Residuals: 361 MAE: 30.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.1026 5.6305 0.001 72.3548 94.0498
opcount 0.0035 0.0001 0.001 0.0034 0.0037
==============================================================================
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 539
R² 0.8706
coef (ms) 0.0007428
p-value 1.00e-03
95% CI [0.0007167, 0.0007688]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.870
No. Observations: 539 RMSE: 6.84
Df Residuals: 537 MAE: 5.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.7746 0.9902 0.001 45.8457 49.7481
opcount 0.0007 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · besu
nobs 462
R² 0.89
coef (ms) 0.02483
p-value 1.00e-03
95% CI [0.02414, 0.02554]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.890
Model: NNLS Adj. R-squared: 0.890
No. Observations: 462 RMSE: 181.59
Df Residuals: 460 MAE: 145.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 542.8650 24.6635 0.001 494.3818 590.4516
opcount 0.0248 0.0004 0.001 0.0241 0.0255
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · erigon
nobs 154
R² 0.9319
coef (ms) 0.02417
p-value 1.00e-03
95% CI [0.0231, 0.02509]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.931
No. Observations: 154 RMSE: 135.91
Df Residuals: 152 MAE: 115.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 300.9636 35.5246 0.001 236.9698 379.2595
opcount 0.0242 0.0005 0.001 0.0231 0.0251
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 440
R² 0.9936
coef (ms) 0.007705
p-value 1.00e-03
95% CI [0.007652, 0.007762]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 440 RMSE: 12.86
Df Residuals: 438 MAE: 10.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.3265 1.8494 0.001 38.6427 45.8075
opcount 0.0077 0.0000 0.001 0.0077 0.0078
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · geth
nobs 440
R² 0.8536
coef (ms) 0.02286
p-value 1.00e-03
95% CI [0.02191, 0.02378]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.853
No. Observations: 440 RMSE: 196.96
Df Residuals: 438 MAE: 165.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 682.1049 36.0681 0.001 613.4506 754.7921
opcount 0.0229 0.0005 0.001 0.0219 0.0238
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 363
R² 0.5256
coef (ms) 0.01281
p-value 1.00e-03
95% CI [0.01158, 0.01417]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.526
Model: NNLS Adj. R-squared: 0.524
No. Observations: 363 RMSE: 253.18
Df Residuals: 361 MAE: 190.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 182.4353 37.8657 0.001 106.6227 254.3134
opcount 0.0128 0.0007 0.001 0.0116 0.0142
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · reth
nobs 539
R² 0.9714
coef (ms) 0.003919
p-value 1.00e-03
95% CI [0.003865, 0.003972]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 539 RMSE: 13.98
Df Residuals: 537 MAE: 11.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.1930 1.8277 0.001 101.7341 108.7431
opcount 0.0039 0.0000 0.001 0.0039 0.0040
==============================================================================
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] · besu
nobs 462
R² 0.8307
coef (ms) 0.01317
p-value 1.00e-03
95% CI [0.01264, 0.0137]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.830
No. Observations: 462 RMSE: 142.02
Df Residuals: 460 MAE: 128.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 494.2058 21.0444 0.001 452.9192 535.7793
opcount 0.0132 0.0003 0.001 0.0126 0.0137
==============================================================================
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 154
R² 0.9812
coef (ms) 0.00874
p-value 1.00e-03
95% CI [0.008544, 0.008809]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 154 RMSE: 28.95
Df Residuals: 152 MAE: 19.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 3.7498 1.000 0.0000 12.4731
opcount 0.0087 0.0001 0.001 0.0085 0.0088
==============================================================================
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] · ethrex
nobs 440
R² 0.9632
coef (ms) 0.002003
p-value 1.00e-03
95% CI [0.001966, 0.002037]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 440 RMSE: 9.36
Df Residuals: 438 MAE: 7.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.7235 1.4054 0.001 24.0782 29.7138
opcount 0.0020 0.0000 0.001 0.0020 0.0020
==============================================================================
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 440
R² 0.8572
coef (ms) 0.02159
p-value 1.00e-03
95% CI [0.02073, 0.02249]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.857
No. Observations: 440 RMSE: 210.66
Df Residuals: 438 MAE: 178.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 711.5268 37.5462 0.001 642.7250 783.5572
opcount 0.0216 0.0004 0.001 0.0207 0.0225
==============================================================================
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 363
R² 0.8261
coef (ms) 0.003538
p-value 1.00e-03
95% CI [0.00337, 0.003697]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 363 RMSE: 38.80
Df Residuals: 361 MAE: 30.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.1026 5.6305 0.001 72.3548 94.0498
opcount 0.0035 0.0001 0.001 0.0034 0.0037
==============================================================================
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 539
R² 0.8706
coef (ms) 0.0007428
p-value 1.00e-03
95% CI [0.0007167, 0.0007688]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.870
No. Observations: 539 RMSE: 6.84
Df Residuals: 537 MAE: 5.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.7746 0.9902 0.001 45.8457 49.7481
opcount 0.0007 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · besu
nobs 462
R² 0.3044
coef (ms) 0.0002201
p-value 1.00e-03
95% CI [0.0001923, 0.0002475]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.304
Model: NNLS Adj. R-squared: 0.303
No. Observations: 462 RMSE: 194.61
Df Residuals: 460 MAE: 162.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 422.6563 27.0671 0.001 371.0677 475.9605
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · erigon
nobs 154
R² 0.8641
coef (ms) 6.546e-05
p-value 1.00e-03
95% CI [6.111e-05, 6.972e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 154 RMSE: 15.18
Df Residuals: 152 MAE: 9.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.0757 3.3383 0.001 16.3628 29.7296
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 · ethrex
nobs 440
R² 0.2548
coef (ms) 1.407e-05
p-value 1.00e-03
95% CI [1.203e-05, 1.602e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.255
Model: NNLS Adj. R-squared: 0.253
No. Observations: 440 RMSE: 14.07
Df Residuals: 438 MAE: 9.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.8982 2.1965 0.001 8.7555 17.1892
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · geth
nobs 440
R² 0.7745
coef (ms) 2.974e-05
p-value 1.00e-03
95% CI [2.819e-05, 3.129e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.774
No. Observations: 440 RMSE: 9.38
Df Residuals: 438 MAE: 7.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.7449 1.4547 0.001 15.9769 21.7295
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · nethermind
nobs 363
R² 0.6703
coef (ms) 0.000125
p-value 1.00e-03
95% CI [0.0001163, 0.0001338]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.670
Model: NNLS Adj. R-squared: 0.669
No. Observations: 363 RMSE: 51.25
Df Residuals: 361 MAE: 39.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 122.0191 8.4228 0.001 105.2683 138.4336
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 · reth
nobs 539
R² 0.6025
coef (ms) 1.284e-05
p-value 1.00e-03
95% CI [1.187e-05, 1.386e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.603
Model: NNLS Adj. R-squared: 0.602
No. Observations: 539 RMSE: 6.10
Df Residuals: 537 MAE: 4.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.1529 0.9143 0.001 7.3718 10.9230
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] · besu
nobs 462
R² 0.8508
coef (ms) 0.01523
p-value 1.00e-03
95% CI [0.01469, 0.01584]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.850
No. Observations: 462 RMSE: 151.49
Df Residuals: 460 MAE: 122.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 629.7788 22.3113 0.001 586.0476 671.9238
opcount 0.0152 0.0003 0.001 0.0147 0.0158
==============================================================================
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 154
R² 0.9757
coef (ms) 0.01105
p-value 1.00e-03
95% CI [0.01078, 0.01132]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 154 RMSE: 41.39
Df Residuals: 152 MAE: 31.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.4926 9.2781 0.009 3.3280 42.0623
opcount 0.0111 0.0001 0.001 0.0108 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] · ethrex
nobs 440
R² 0.9938
coef (ms) 0.007264
p-value 1.00e-03
95% CI [0.007203, 0.007324]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 440 RMSE: 13.63
Df Residuals: 438 MAE: 10.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.7451 2.1592 0.001 41.6139 50.1289
opcount 0.0073 0.0000 0.001 0.0072 0.0073
==============================================================================
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 440
R² 0.9083
coef (ms) 0.01087
p-value 1.00e-03
95% CI [0.01052, 0.01124]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.908
No. Observations: 440 RMSE: 82.01
Df Residuals: 438 MAE: 67.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 423.3211 15.5605 0.001 392.8122 452.8779
opcount 0.0109 0.0002 0.001 0.0105 0.0112
==============================================================================
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 363
R² 0.8156
coef (ms) 0.004146
p-value 1.00e-03
95% CI [0.003958, 0.004323]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.816
Model: NNLS Adj. R-squared: 0.815
No. Observations: 363 RMSE: 46.81
Df Residuals: 361 MAE: 36.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.3344 6.4654 0.001 83.8542 108.4286
opcount 0.0041 0.0001 0.001 0.0040 0.0043
==============================================================================
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 539
R² 0.9184
coef (ms) 0.001086
p-value 1.00e-03
95% CI [0.001059, 0.001112]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 539 RMSE: 7.69
Df Residuals: 537 MAE: 6.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.9989 1.0366 0.001 46.0762 49.9862
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
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] · besu
nobs 462
R² 0.8201
coef (ms) 0.01593
p-value 1.00e-03
95% CI [0.01519, 0.01661]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.820
No. Observations: 462 RMSE: 177.16
Df Residuals: 460 MAE: 156.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 547.5188 26.4261 0.001 497.0800 602.1120
opcount 0.0159 0.0003 0.001 0.0152 0.0166
==============================================================================
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 154
R² 0.9786
coef (ms) 0.0101
p-value 1.00e-03
95% CI [0.009889, 0.01018]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.979
Model: NNLS Adj. R-squared: 0.978
No. Observations: 154 RMSE: 35.58
Df Residuals: 152 MAE: 24.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 3.8410 1.000 0.0000 13.2523
opcount 0.0101 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] · ethrex
nobs 440
R² 0.9674
coef (ms) 0.002048
p-value 1.00e-03
95% CI [0.002014, 0.002085]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 440 RMSE: 8.93
Df Residuals: 438 MAE: 7.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.4053 1.3603 0.001 26.6834 32.0510
opcount 0.0020 0.0000 0.001 0.0020 0.0021
==============================================================================
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 440
R² 0.8605
coef (ms) 0.02194
p-value 1.00e-03
95% CI [0.02096, 0.02283]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 440 RMSE: 209.76
Df Residuals: 438 MAE: 177.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 718.7649 39.5338 0.001 642.4309 799.1336
opcount 0.0219 0.0005 0.001 0.0210 0.0228
==============================================================================
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 363
R² 0.8428
coef (ms) 0.004061
p-value 1.00e-03
95% CI [0.003864, 0.00426]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.842
No. Observations: 363 RMSE: 41.65
Df Residuals: 361 MAE: 31.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 81.2687 6.7380 0.001 68.5181 94.6247
opcount 0.0041 0.0001 0.001 0.0039 0.0043
==============================================================================
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 539
R² 0.8804
coef (ms) 0.0007622
p-value 1.00e-03
95% CI [0.0007374, 0.0007864]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 539 RMSE: 6.67
Df Residuals: 537 MAE: 5.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.0058 0.9343 0.001 50.1612 53.8135
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · besu
nobs 462
R² 0.8936
coef (ms) 0.02675
p-value 1.00e-03
95% CI [0.02598, 0.02759]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.894
Model: NNLS Adj. R-squared: 0.893
No. Observations: 462 RMSE: 187.84
Df Residuals: 460 MAE: 146.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 609.9442 26.1549 0.001 559.4553 660.0614
opcount 0.0268 0.0004 0.001 0.0260 0.0276
==============================================================================
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 154
R² 0.5885
coef (ms) 0.04592
p-value 1.00e-03
95% CI [0.03954, 0.05156]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.588
Model: NNLS Adj. R-squared: 0.586
No. Observations: 154 RMSE: 781.35
Df Residuals: 152 MAE: 533.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 759.9788 185.9835 0.001 404.2199 1126.2187
opcount 0.0459 0.0031 0.001 0.0395 0.0516
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · ethrex
nobs 440
R² 0.9938
coef (ms) 0.007936
p-value 1.00e-03
95% CI [0.007881, 0.007994]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 440 RMSE: 12.76
Df Residuals: 438 MAE: 9.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.5897 1.7955 0.001 33.9459 40.9129
opcount 0.0079 0.0000 0.001 0.0079 0.0080
==============================================================================
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 440
R² 0.8592
coef (ms) 0.02347
p-value 1.00e-03
95% CI [0.02255, 0.02441]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 440 RMSE: 193.34
Df Residuals: 438 MAE: 162.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 674.1841 34.2140 0.001 607.6980 743.3824
opcount 0.0235 0.0005 0.001 0.0225 0.0244
==============================================================================
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 363
R² 0.5855
coef (ms) 0.01498
p-value 1.00e-03
95% CI [0.01362, 0.01638]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.586
Model: NNLS Adj. R-squared: 0.584
No. Observations: 363 RMSE: 256.50
Df Residuals: 361 MAE: 196.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 156.2336 40.1706 0.001 76.3970 234.4699
opcount 0.0150 0.0007 0.001 0.0136 0.0164
==============================================================================
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 539
R² 0.9717
coef (ms) 0.004033
p-value 1.00e-03
95% CI [0.003976, 0.004093]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 539 RMSE: 14.01
Df Residuals: 537 MAE: 11.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.8625 1.8960 0.001 99.2756 106.5791
opcount 0.0040 0.0000 0.001 0.0040 0.0041
==============================================================================
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] · besu
nobs 462
R² 0.8201
coef (ms) 0.01593
p-value 1.00e-03
95% CI [0.01519, 0.01661]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.820
No. Observations: 462 RMSE: 177.16
Df Residuals: 460 MAE: 156.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 547.5188 26.4261 0.001 497.0800 602.1120
opcount 0.0159 0.0003 0.001 0.0152 0.0166
==============================================================================
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 154
R² 0.9786
coef (ms) 0.0101
p-value 1.00e-03
95% CI [0.009889, 0.01018]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.979
Model: NNLS Adj. R-squared: 0.978
No. Observations: 154 RMSE: 35.58
Df Residuals: 152 MAE: 24.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 3.8410 1.000 0.0000 13.2523
opcount 0.0101 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] · ethrex
nobs 440
R² 0.9674
coef (ms) 0.002048
p-value 1.00e-03
95% CI [0.002014, 0.002085]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 440 RMSE: 8.93
Df Residuals: 438 MAE: 7.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.4053 1.3603 0.001 26.6834 32.0510
opcount 0.0020 0.0000 0.001 0.0020 0.0021
==============================================================================
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 440
R² 0.8605
coef (ms) 0.02194
p-value 1.00e-03
95% CI [0.02096, 0.02283]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 440 RMSE: 209.76
Df Residuals: 438 MAE: 177.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 718.7649 39.5338 0.001 642.4309 799.1336
opcount 0.0219 0.0005 0.001 0.0210 0.0228
==============================================================================
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 363
R² 0.8428
coef (ms) 0.004061
p-value 1.00e-03
95% CI [0.003864, 0.00426]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.842
No. Observations: 363 RMSE: 41.65
Df Residuals: 361 MAE: 31.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 81.2687 6.7380 0.001 68.5181 94.6247
opcount 0.0041 0.0001 0.001 0.0039 0.0043
==============================================================================
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 539
R² 0.8804
coef (ms) 0.0007622
p-value 1.00e-03
95% CI [0.0007374, 0.0007864]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 539 RMSE: 6.67
Df Residuals: 537 MAE: 5.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.0058 0.9343 0.001 50.1612 53.8135
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · besu
nobs 462
R² 0.9038
coef (ms) 0.05979
p-value 1.00e-03
95% CI [0.05799, 0.06167]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 462 RMSE: 131.27
Df Residuals: 460 MAE: 89.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 341.6989 18.8526 0.001 304.8883 377.3464
opcount 0.0598 0.0010 0.001 0.0580 0.0617
==============================================================================
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 154
R² 0.927
coef (ms) 0.07872
p-value 1.00e-03
95% CI [0.07511, 0.08253]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 154 RMSE: 148.60
Df Residuals: 152 MAE: 105.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 282.4074 32.6055 0.001 214.8856 346.4280
opcount 0.0787 0.0019 0.001 0.0751 0.0825
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · ethrex
nobs 440
R² 0.9839
coef (ms) 0.0226
p-value 1.00e-03
95% CI [0.02237, 0.02283]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 440 RMSE: 19.44
Df Residuals: 438 MAE: 14.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 154.0387 2.7615 0.001 148.9106 159.1354
opcount 0.0226 0.0001 0.001 0.0224 0.0228
==============================================================================
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 440
R² 0.9674
coef (ms) 0.0589
p-value 1.00e-03
95% CI [0.05791, 0.05984]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 440 RMSE: 72.73
Df Residuals: 438 MAE: 62.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 185.5263 9.7785 0.001 166.2287 204.7268
opcount 0.0589 0.0005 0.001 0.0579 0.0598
==============================================================================
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 363
R² 0.7783
coef (ms) 0.02953
p-value 1.00e-03
95% CI [0.02783, 0.0312]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.778
No. Observations: 363 RMSE: 106.04
Df Residuals: 361 MAE: 84.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 189.9891 16.7659 0.001 157.8643 220.5736
opcount 0.0295 0.0009 0.001 0.0278 0.0312
==============================================================================
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 539
R² 0.9864
coef (ms) 0.02297
p-value 1.00e-03
95% CI [0.02274, 0.02318]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 539 RMSE: 18.14
Df Residuals: 537 MAE: 14.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.3189 2.2518 0.001 101.1283 109.4865
opcount 0.0230 0.0001 0.001 0.0227 0.0232
==============================================================================
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] · besu
nobs 462
R² 0.7245
coef (ms) 0.178
p-value 1.00e-03
95% CI [0.1682, 0.1881]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.725
Model: NNLS Adj. R-squared: 0.724
No. Observations: 462 RMSE: 36.14
Df Residuals: 460 MAE: 30.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 244.1562 5.5090 0.001 233.1201 254.3283
opcount 0.1780 0.0052 0.001 0.1682 0.1881
==============================================================================
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 154
R² 0.8066
coef (ms) 0.2506
p-value 1.00e-03
95% CI [0.2306, 0.2701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.805
No. Observations: 154 RMSE: 40.40
Df Residuals: 152 MAE: 30.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 103.3905 9.6472 0.001 85.0227 122.8316
opcount 0.2506 0.0101 0.001 0.2306 0.2701
==============================================================================
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] · ethrex
nobs 440
R² 0.05854
coef (ms) 0.01102
p-value 1.00e-03
95% CI [0.007157, 0.01486]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.059
Model: NNLS Adj. R-squared: 0.056
No. Observations: 440 RMSE: 14.55
Df Residuals: 438 MAE: 9.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.3843 2.3443 0.001 20.8739 30.0734
opcount 0.0110 0.0020 0.001 0.0072 0.0149
==============================================================================
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 440
R² 0.8909
coef (ms) 0.09629
p-value 1.00e-03
95% CI [0.09322, 0.09975]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 440 RMSE: 11.09
Df Residuals: 438 MAE: 8.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.2220 1.7047 0.001 52.7406 59.4092
opcount 0.0963 0.0017 0.001 0.0932 0.0998
==============================================================================
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 363
R² 0.7508
coef (ms) 0.04766
p-value 1.00e-03
95% CI [0.04487, 0.05064]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.751
Model: NNLS Adj. R-squared: 0.750
No. Observations: 363 RMSE: 9.04
Df Residuals: 361 MAE: 6.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.4737 1.4680 0.001 18.5035 24.2784
opcount 0.0477 0.0015 0.001 0.0449 0.0506
==============================================================================
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 539
R² 0.2713
coef (ms) 0.0243
p-value 1.00e-03
95% CI [0.01922, 0.02725]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.271
Model: NNLS Adj. R-squared: 0.270
No. Observations: 539 RMSE: 13.11
Df Residuals: 537 MAE: 4.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.2537 2.6547 0.001 13.6585 23.6433
opcount 0.0243 0.0021 0.001 0.0192 0.0273
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · besu
nobs 462
R² 0.9185
coef (ms) 0.07727
p-value 1.00e-03
95% CI [0.07515, 0.0796]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 462 RMSE: 147.84
Df Residuals: 460 MAE: 107.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 676.1225 21.5345 0.001 633.3528 717.5603
opcount 0.0773 0.0012 0.001 0.0751 0.0796
==============================================================================
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 154
R² 0.5732
coef (ms) 0.254
p-value 1.00e-03
95% CI [0.2188, 0.2887]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.573
Model: NNLS Adj. R-squared: 0.570
No. Observations: 154 RMSE: 1407.65
Df Residuals: 152 MAE: 1106.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2359.7224 337.5636 0.001 1682.5323 3026.5790
opcount 0.2540 0.0180 0.001 0.2188 0.2887
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · ethrex
nobs 440
R² 0.9846
coef (ms) 0.02364
p-value 1.00e-03
95% CI [0.02337, 0.02387]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 440 RMSE: 18.97
Df Residuals: 438 MAE: 15.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 147.0341 2.7692 0.001 141.7195 152.7285
opcount 0.0236 0.0001 0.001 0.0234 0.0239
==============================================================================
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 440
R² 0.9718
coef (ms) 0.09698
p-value 1.00e-03
95% CI [0.09553, 0.0984]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 440 RMSE: 106.11
Df Residuals: 438 MAE: 91.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 321.8190 14.3528 0.001 293.1584 349.9284
opcount 0.0970 0.0007 0.001 0.0955 0.0984
==============================================================================
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 363
R² 0.8617
coef (ms) 0.0469
p-value 1.00e-03
95% CI [0.04498, 0.04883]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.861
No. Observations: 363 RMSE: 120.69
Df Residuals: 361 MAE: 96.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 166.5696 17.6775 0.001 130.6357 200.7179
opcount 0.0469 0.0010 0.001 0.0450 0.0488
==============================================================================
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 539
R² 0.9851
coef (ms) 0.02787
p-value 1.00e-03
95% CI [0.02758, 0.02815]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 539 RMSE: 21.99
Df Residuals: 537 MAE: 17.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 121.2455 2.8135 0.001 116.1452 127.3697
opcount 0.0279 0.0001 0.001 0.0276 0.0282
==============================================================================
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] · besu
nobs 462
R² 0.7245
coef (ms) 0.178
p-value 1.00e-03
95% CI [0.1682, 0.1881]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.725
Model: NNLS Adj. R-squared: 0.724
No. Observations: 462 RMSE: 36.14
Df Residuals: 460 MAE: 30.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 244.1562 5.5090 0.001 233.1201 254.3283
opcount 0.1780 0.0052 0.001 0.1682 0.1881
==============================================================================
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 154
R² 0.8066
coef (ms) 0.2506
p-value 1.00e-03
95% CI [0.2306, 0.2701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.805
No. Observations: 154 RMSE: 40.40
Df Residuals: 152 MAE: 30.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 103.3905 9.6472 0.001 85.0227 122.8316
opcount 0.2506 0.0101 0.001 0.2306 0.2701
==============================================================================
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] · ethrex
nobs 440
R² 0.05854
coef (ms) 0.01102
p-value 1.00e-03
95% CI [0.007157, 0.01486]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.059
Model: NNLS Adj. R-squared: 0.056
No. Observations: 440 RMSE: 14.55
Df Residuals: 438 MAE: 9.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.3843 2.3443 0.001 20.8739 30.0734
opcount 0.0110 0.0020 0.001 0.0072 0.0149
==============================================================================
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 440
R² 0.8909
coef (ms) 0.09629
p-value 1.00e-03
95% CI [0.09322, 0.09975]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 440 RMSE: 11.09
Df Residuals: 438 MAE: 8.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.2220 1.7047 0.001 52.7406 59.4092
opcount 0.0963 0.0017 0.001 0.0932 0.0998
==============================================================================
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 363
R² 0.7508
coef (ms) 0.04766
p-value 1.00e-03
95% CI [0.04487, 0.05064]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.751
Model: NNLS Adj. R-squared: 0.750
No. Observations: 363 RMSE: 9.04
Df Residuals: 361 MAE: 6.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.4737 1.4680 0.001 18.5035 24.2784
opcount 0.0477 0.0015 0.001 0.0449 0.0506
==============================================================================
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 539
R² 0.2713
coef (ms) 0.0243
p-value 1.00e-03
95% CI [0.01922, 0.02725]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.271
Model: NNLS Adj. R-squared: 0.270
No. Observations: 539 RMSE: 13.11
Df Residuals: 537 MAE: 4.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.2537 2.6547 0.001 13.6585 23.6433
opcount 0.0243 0.0021 0.001 0.0192 0.0273
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · besu
nobs 462
R² 0.7603
coef (ms) 0.0004768
p-value 1.00e-03
95% CI [0.0004513, 0.0005033]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.760
Model: NNLS Adj. R-squared: 0.760
No. Observations: 462 RMSE: 135.27
Df Residuals: 460 MAE: 103.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 598.5299 21.9603 0.001 555.6024 642.7451
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 · erigon
nobs 154
R² 0.9058
coef (ms) 0.0004935
p-value 1.00e-03
95% CI [0.0004661, 0.0005204]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.906
Model: NNLS Adj. R-squared: 0.905
No. Observations: 154 RMSE: 80.41
Df Residuals: 152 MAE: 58.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.8930 19.5367 0.001 19.2290 97.4192
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 · ethrex
nobs 440
R² 0.9499
coef (ms) 0.0001088
p-value 1.00e-03
95% CI [0.0001065, 0.0001111]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.950
Model: NNLS Adj. R-squared: 0.950
No. Observations: 440 RMSE: 12.63
Df Residuals: 438 MAE: 10.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.7798 1.8334 0.001 26.3738 33.4102
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · geth
nobs 440
R² 0.8665
coef (ms) 0.0001313
p-value 1.00e-03
95% CI [0.000126, 0.0001367]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.866
No. Observations: 440 RMSE: 26.05
Df Residuals: 438 MAE: 20.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.2972 4.0796 0.001 42.3518 58.1629
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · nethermind
nobs 363
R² 0.6596
coef (ms) 0.0003635
p-value 1.00e-03
95% CI [0.0003366, 0.0003907]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.660
Model: NNLS Adj. R-squared: 0.659
No. Observations: 363 RMSE: 131.94
Df Residuals: 361 MAE: 108.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 180.5239 19.8893 0.001 141.8901 218.4451
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · reth
nobs 539
R² 0.9273
coef (ms) 5.777e-05
p-value 1.00e-03
95% CI [5.641e-05, 5.908e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 539 RMSE: 8.17
Df Residuals: 537 MAE: 6.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.7710 1.1949 0.001 21.3919 26.1944
opcount 0.0001 0.0000 0.001 0.0001 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] · besu
nobs 462
R² 0.8523
coef (ms) 0.01446
p-value 1.00e-03
95% CI [0.01384, 0.01502]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.852
Model: NNLS Adj. R-squared: 0.852
No. Observations: 462 RMSE: 142.98
Df Residuals: 460 MAE: 112.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 570.7166 22.0195 0.001 529.7073 615.3622
opcount 0.0145 0.0003 0.001 0.0138 0.0150
==============================================================================
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 154
R² 0.9761
coef (ms) 0.009997
p-value 1.00e-03
95% CI [0.009756, 0.01023]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 154 RMSE: 37.18
Df Residuals: 152 MAE: 26.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.7953 7.9300 0.006 5.1559 35.7905
opcount 0.0100 0.0001 0.001 0.0098 0.0102
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · ethrex
nobs 440
R² 0.9936
coef (ms) 0.007277
p-value 1.00e-03
95% CI [0.007222, 0.00733]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 440 RMSE: 13.83
Df Residuals: 438 MAE: 10.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.2210 2.0030 0.001 41.1577 49.1123
opcount 0.0073 0.0000 0.001 0.0072 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] · geth
nobs 440
R² 0.9101
coef (ms) 0.01106
p-value 1.00e-03
95% CI [0.0107, 0.01143]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.910
No. Observations: 440 RMSE: 82.49
Df Residuals: 438 MAE: 67.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 418.7152 16.1868 0.001 385.1966 449.7120
opcount 0.0111 0.0002 0.001 0.0107 0.0114
==============================================================================
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 363
R² 0.8139
coef (ms) 0.003885
p-value 1.00e-03
95% CI [0.0037, 0.004086]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.813
No. Observations: 363 RMSE: 44.11
Df Residuals: 361 MAE: 34.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 95.7736 6.9490 0.001 83.1489 109.8492
opcount 0.0039 0.0001 0.001 0.0037 0.0041
==============================================================================
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 539
R² 0.9196
coef (ms) 0.001093
p-value 1.00e-03
95% CI [0.001066, 0.001117]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.919
No. Observations: 539 RMSE: 7.67
Df Residuals: 537 MAE: 6.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.0211 1.0088 0.001 44.0619 48.0969
opcount 0.0011 0.0000 0.001 0.0011 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] · besu
nobs 462
R² 0.8241
coef (ms) 0.01467
p-value 1.00e-03
95% CI [0.01404, 0.01529]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.824
Model: NNLS Adj. R-squared: 0.824
No. Observations: 462 RMSE: 160.92
Df Residuals: 460 MAE: 143.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 531.1143 23.7671 0.001 484.2063 577.0857
opcount 0.0147 0.0003 0.001 0.0140 0.0153
==============================================================================
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 154
R² 0.9767
coef (ms) 0.00917
p-value 1.00e-03
95% CI [0.00894, 0.009378]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 154 RMSE: 33.65
Df Residuals: 152 MAE: 23.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.4826 7.4696 0.007 4.5389 33.8484
opcount 0.0092 0.0001 0.001 0.0089 0.0094
==============================================================================
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] · ethrex
nobs 440
R² 0.9644
coef (ms) 0.00205
p-value 1.00e-03
95% CI [0.002016, 0.002087]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 440 RMSE: 9.35
Df Residuals: 438 MAE: 7.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.8065 1.4033 0.001 27.0724 32.4927
opcount 0.0020 0.0000 0.001 0.0020 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_access] · geth
nobs 440
R² 0.8641
coef (ms) 0.02263
p-value 1.00e-03
95% CI [0.02182, 0.02359]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.864
No. Observations: 440 RMSE: 213.06
Df Residuals: 438 MAE: 180.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 706.6188 38.3979 0.001 627.2822 777.2723
opcount 0.0226 0.0005 0.001 0.0218 0.0236
==============================================================================
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 363
R² 0.8622
coef (ms) 0.003842
p-value 1.00e-03
95% CI [0.003688, 0.004019]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.862
No. Observations: 363 RMSE: 36.48
Df Residuals: 361 MAE: 28.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.7986 5.9773 0.001 63.2236 85.6863
opcount 0.0038 0.0001 0.001 0.0037 0.0040
==============================================================================
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 539
R² 0.8648
coef (ms) 0.0007477
p-value 1.00e-03
95% CI [0.0007215, 0.0007714]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 539 RMSE: 7.02
Df Residuals: 537 MAE: 5.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.9222 1.0213 0.001 50.0529 54.0636
opcount 0.0007 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · besu
nobs 462
R² 0.8975
coef (ms) 0.02663
p-value 1.00e-03
95% CI [0.02588, 0.02737]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.897
No. Observations: 462 RMSE: 183.16
Df Residuals: 460 MAE: 144.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 578.7096 25.1116 0.001 534.6891 630.0360
opcount 0.0266 0.0004 0.001 0.0259 0.0274
==============================================================================
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 154
R² 0.5722
coef (ms) 0.04573
p-value 1.00e-03
95% CI [0.03884, 0.05196]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.572
Model: NNLS Adj. R-squared: 0.569
No. Observations: 154 RMSE: 804.55
Df Residuals: 152 MAE: 543.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 745.4852 201.4931 0.001 373.3887 1143.5928
opcount 0.0457 0.0033 0.001 0.0388 0.0520
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · ethrex
nobs 440
R² 0.9932
coef (ms) 0.007932
p-value 1.00e-03
95% CI [0.007877, 0.007995]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 440 RMSE: 13.36
Df Residuals: 438 MAE: 10.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.2756 1.9264 0.001 33.2996 40.8132
opcount 0.0079 0.0000 0.001 0.0079 0.0080
==============================================================================
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 440
R² 0.8575
coef (ms) 0.02341
p-value 1.00e-03
95% CI [0.02245, 0.0244]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.857
No. Observations: 440 RMSE: 194.14
Df Residuals: 438 MAE: 162.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 676.2837 36.4632 0.001 603.8654 747.9518
opcount 0.0234 0.0005 0.001 0.0224 0.0244
==============================================================================
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 363
R² 0.5697
coef (ms) 0.01394
p-value 1.00e-03
95% CI [0.01261, 0.01538]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.570
Model: NNLS Adj. R-squared: 0.569
No. Observations: 363 RMSE: 246.53
Df Residuals: 361 MAE: 184.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 210.8629 40.0921 0.001 129.9905 289.8111
opcount 0.0139 0.0007 0.001 0.0126 0.0154
==============================================================================
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 539
R² 0.9731
coef (ms) 0.004029
p-value 1.00e-03
95% CI [0.00397, 0.00409]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 539 RMSE: 13.64
Df Residuals: 537 MAE: 10.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.1686 1.8573 0.001 98.4035 105.8096
opcount 0.0040 0.0000 0.001 0.0040 0.0041
==============================================================================
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] · besu
nobs 462
R² 0.8241
coef (ms) 0.01467
p-value 1.00e-03
95% CI [0.01404, 0.01529]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.824
Model: NNLS Adj. R-squared: 0.824
No. Observations: 462 RMSE: 160.92
Df Residuals: 460 MAE: 143.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 531.1143 23.7671 0.001 484.2063 577.0857
opcount 0.0147 0.0003 0.001 0.0140 0.0153
==============================================================================
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 154
R² 0.9767
coef (ms) 0.00917
p-value 1.00e-03
95% CI [0.00894, 0.009378]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 154 RMSE: 33.65
Df Residuals: 152 MAE: 23.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.4826 7.4696 0.007 4.5389 33.8484
opcount 0.0092 0.0001 0.001 0.0089 0.0094
==============================================================================
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] · ethrex
nobs 440
R² 0.9644
coef (ms) 0.00205
p-value 1.00e-03
95% CI [0.002016, 0.002087]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 440 RMSE: 9.35
Df Residuals: 438 MAE: 7.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.8065 1.4033 0.001 27.0724 32.4927
opcount 0.0020 0.0000 0.001 0.0020 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_access] · geth
nobs 440
R² 0.8641
coef (ms) 0.02263
p-value 1.00e-03
95% CI [0.02182, 0.02359]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.864
No. Observations: 440 RMSE: 213.06
Df Residuals: 438 MAE: 180.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 706.6188 38.3979 0.001 627.2822 777.2723
opcount 0.0226 0.0005 0.001 0.0218 0.0236
==============================================================================
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 363
R² 0.8622
coef (ms) 0.003842
p-value 1.00e-03
95% CI [0.003688, 0.004019]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.862
No. Observations: 363 RMSE: 36.48
Df Residuals: 361 MAE: 28.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.7986 5.9773 0.001 63.2236 85.6863
opcount 0.0038 0.0001 0.001 0.0037 0.0040
==============================================================================
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 539
R² 0.8648
coef (ms) 0.0007477
p-value 1.00e-03
95% CI [0.0007215, 0.0007714]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 539 RMSE: 7.02
Df Residuals: 537 MAE: 5.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.9222 1.0213 0.001 50.0529 54.0636
opcount 0.0007 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · besu
nobs 462
R² 0.8348
coef (ms) 0.0232
p-value 1.00e-03
95% CI [0.02222, 0.02418]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.834
No. Observations: 462 RMSE: 69.45
Df Residuals: 460 MAE: 57.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 99.1213 9.9784 0.001 79.5877 117.5966
opcount 0.0232 0.0005 0.001 0.0222 0.0242
==============================================================================
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 154
R² 0.9542
coef (ms) 0.007877
p-value 1.00e-03
95% CI [0.007634, 0.008136]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.954
Model: NNLS Adj. R-squared: 0.954
No. Observations: 154 RMSE: 11.62
Df Residuals: 152 MAE: 7.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.7125 2.4415 0.001 20.8952 30.5618
opcount 0.0079 0.0001 0.001 0.0076 0.0081
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · ethrex
nobs 440
R² 0
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.002
No. Observations: 440 RMSE: 53.93
Df Residuals: 438 MAE: 43.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 241.3438 2.6400 0.001 236.2917 246.5817
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
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 440
R² 0.8805
coef (ms) 0.01356
p-value 1.00e-03
95% CI [0.01306, 0.01408]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 440 RMSE: 33.63
Df Residuals: 438 MAE: 27.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 139.5017 5.7208 0.001 128.3586 150.8852
opcount 0.0136 0.0003 0.001 0.0131 0.0141
==============================================================================
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 363
R² 0.7393
coef (ms) 0.004275
p-value 1.00e-03
95% CI [0.004015, 0.00455]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.739
Model: NNLS Adj. R-squared: 0.739
No. Observations: 363 RMSE: 17.09
Df Residuals: 361 MAE: 13.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.7970 2.8095 0.001 57.5994 68.3627
opcount 0.0043 0.0001 0.001 0.0040 0.0045
==============================================================================
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 539
R² 0.803
coef (ms) 0.001571
p-value 1.00e-03
95% CI [0.001504, 0.001637]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 539 RMSE: 5.24
Df Residuals: 537 MAE: 3.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.4623 0.6897 0.001 12.0877 14.8627
opcount 0.0016 0.0000 0.001 0.0015 0.0016
==============================================================================
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] · besu
nobs 462
R² 0.2801
coef (ms) 0.005448
p-value 1.00e-03
95% CI [0.004636, 0.00624]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.280
Model: NNLS Adj. R-squared: 0.279
No. Observations: 462 RMSE: 58.78
Df Residuals: 460 MAE: 55.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 291.2179 8.0371 0.001 274.8244 305.7901
opcount 0.0054 0.0004 0.001 0.0046 0.0062
==============================================================================
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 154
R² 0.8698
coef (ms) 0.001947
p-value 1.00e-03
95% CI [0.001813, 0.002089]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 154 RMSE: 5.07
Df Residuals: 152 MAE: 3.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.1128 1.3205 0.001 35.4292 40.7602
opcount 0.0019 0.0001 0.001 0.0018 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] · ethrex
nobs 440
R² 0.04611
coef (ms) 0.0004927
p-value 1.00e-03
95% CI [0.0002947, 0.0006879]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.046
Model: NNLS Adj. R-squared: 0.044
No. Observations: 440 RMSE: 15.08
Df Residuals: 438 MAE: 8.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.7567 2.3363 0.001 8.2234 17.5120
opcount 0.0005 0.0001 0.001 0.0003 0.0007
==============================================================================
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 440
R² 0.9536
coef (ms) 0.01036
p-value 1.00e-03
95% CI [0.01014, 0.01056]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.954
Model: NNLS Adj. R-squared: 0.953
No. Observations: 440 RMSE: 15.39
Df Residuals: 438 MAE: 12.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 333.4519 2.1701 0.001 329.3387 337.6571
opcount 0.0104 0.0001 0.001 0.0101 0.0106
==============================================================================
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 363
R² 0.466
coef (ms) 0.001464
p-value 1.00e-03
95% CI [0.001302, 0.001627]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.466
Model: NNLS Adj. R-squared: 0.465
No. Observations: 363 RMSE: 10.55
Df Residuals: 361 MAE: 8.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.0487 1.6707 0.001 40.8495 47.2295
opcount 0.0015 0.0001 0.001 0.0013 0.0016
==============================================================================
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 539
R² 0.2961
coef (ms) 0.0002684
p-value 1.00e-03
95% CI [0.0002367, 0.0003054]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.296
Model: NNLS Adj. R-squared: 0.295
No. Observations: 539 RMSE: 2.79
Df Residuals: 537 MAE: 2.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.0682 0.3806 0.001 11.2963 12.7680
opcount 0.0003 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] · besu
nobs 462
R² 0.7052
coef (ms) 0.02813
p-value 1.00e-03
95% CI [0.02644, 0.02982]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.705
Model: NNLS Adj. R-squared: 0.705
No. Observations: 462 RMSE: 116.84
Df Residuals: 460 MAE: 105.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 305.3790 15.6394 0.001 275.5043 335.9313
opcount 0.0281 0.0008 0.001 0.0264 0.0298
==============================================================================
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 154
R² 0.4863
coef (ms) 0.04008
p-value 1.00e-03
95% CI [0.03317, 0.04611]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.486
Model: NNLS Adj. R-squared: 0.483
No. Observations: 154 RMSE: 264.60
Df Residuals: 152 MAE: 179.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 493.2754 62.8796 0.001 377.2533 627.4252
opcount 0.0401 0.0033 0.001 0.0332 0.0461
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · ethrex
nobs 440
R² 2.22e-16
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.002
No. Observations: 440 RMSE: 52.27
Df Residuals: 438 MAE: 41.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 245.7330 2.4971 0.001 240.7902 250.6235
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
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 440
R² 0.8484
coef (ms) 0.0249
p-value 1.00e-03
95% CI [0.02387, 0.02596]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.848
No. Observations: 440 RMSE: 67.59
Df Residuals: 438 MAE: 56.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 256.1915 11.4215 0.001 234.0534 278.3539
opcount 0.0249 0.0005 0.001 0.0239 0.0260
==============================================================================
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 363
R² 0.5354
coef (ms) 0.01329
p-value 1.00e-03
95% CI [0.01218, 0.01447]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.535
Model: NNLS Adj. R-squared: 0.534
No. Observations: 363 RMSE: 79.51
Df Residuals: 361 MAE: 62.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 114.9568 10.4251 0.001 94.8459 136.5789
opcount 0.0133 0.0006 0.001 0.0122 0.0145
==============================================================================
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 539
R² 0.9514
coef (ms) 0.004975
p-value 1.00e-03
95% CI [0.004879, 0.005077]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.951
Model: NNLS Adj. R-squared: 0.951
No. Observations: 539 RMSE: 7.23
Df Residuals: 537 MAE: 5.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.3159 1.0277 0.001 34.2461 38.3019
opcount 0.0050 0.0001 0.001 0.0049 0.0051
==============================================================================
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] · besu
nobs 462
R² 0.2801
coef (ms) 0.005448
p-value 1.00e-03
95% CI [0.004636, 0.00624]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.280
Model: NNLS Adj. R-squared: 0.279
No. Observations: 462 RMSE: 58.78
Df Residuals: 460 MAE: 55.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 291.2179 8.0371 0.001 274.8244 305.7901
opcount 0.0054 0.0004 0.001 0.0046 0.0062
==============================================================================
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 154
R² 0.8698
coef (ms) 0.001947
p-value 1.00e-03
95% CI [0.001813, 0.002089]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 154 RMSE: 5.07
Df Residuals: 152 MAE: 3.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.1128 1.3205 0.001 35.4292 40.7602
opcount 0.0019 0.0001 0.001 0.0018 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] · ethrex
nobs 440
R² 0.04611
coef (ms) 0.0004927
p-value 1.00e-03
95% CI [0.0002947, 0.0006879]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.046
Model: NNLS Adj. R-squared: 0.044
No. Observations: 440 RMSE: 15.08
Df Residuals: 438 MAE: 8.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.7567 2.3363 0.001 8.2234 17.5120
opcount 0.0005 0.0001 0.001 0.0003 0.0007
==============================================================================
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 440
R² 0.9536
coef (ms) 0.01036
p-value 1.00e-03
95% CI [0.01014, 0.01056]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.954
Model: NNLS Adj. R-squared: 0.953
No. Observations: 440 RMSE: 15.39
Df Residuals: 438 MAE: 12.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 333.4519 2.1701 0.001 329.3387 337.6571
opcount 0.0104 0.0001 0.001 0.0101 0.0106
==============================================================================
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 363
R² 0.466
coef (ms) 0.001464
p-value 1.00e-03
95% CI [0.001302, 0.001627]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.466
Model: NNLS Adj. R-squared: 0.465
No. Observations: 363 RMSE: 10.55
Df Residuals: 361 MAE: 8.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.0487 1.6707 0.001 40.8495 47.2295
opcount 0.0015 0.0001 0.001 0.0013 0.0016
==============================================================================
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 539
R² 0.2961
coef (ms) 0.0002684
p-value 1.00e-03
95% CI [0.0002367, 0.0003054]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.296
Model: NNLS Adj. R-squared: 0.295
No. Observations: 539 RMSE: 2.79
Df Residuals: 537 MAE: 2.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.0682 0.3806 0.001 11.2963 12.7680
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 · besu
nobs 462
R² 0.697
coef (ms) 0.0006317
p-value 1.00e-03
95% CI [0.0005926, 0.0006692]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.697
Model: NNLS Adj. R-squared: 0.696
No. Observations: 462 RMSE: 210.46
Df Residuals: 460 MAE: 159.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 830.5132 31.3321 0.001 772.1476 893.7415
opcount 0.0006 0.0000 0.001 0.0006 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · erigon
nobs 154
R² 0.7923
coef (ms) 0.0003003
p-value 1.00e-03
95% CI [0.0002724, 0.0003213]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.791
No. Observations: 154 RMSE: 77.68
Df Residuals: 152 MAE: 42.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.7258 17.3469 0.160 0.0000 57.6512
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · ethrex
nobs 440
R² 0.9417
coef (ms) 0.0001035
p-value 1.00e-03
95% CI [0.0001011, 0.000106]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 440 RMSE: 13.02
Df Residuals: 438 MAE: 10.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.8785 1.9809 0.001 30.9777 38.6274
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · geth
nobs 440
R² 0.8886
coef (ms) 0.0001831
p-value 1.00e-03
95% CI [0.0001767, 0.0001894]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.889
Model: NNLS Adj. R-squared: 0.888
No. Observations: 440 RMSE: 32.75
Df Residuals: 438 MAE: 25.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.8082 4.8402 0.001 40.4877 59.6132
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · nethermind
nobs 363
R² 0.7065
coef (ms) 0.0002024
p-value 1.00e-03
95% CI [0.0001884, 0.0002155]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.707
Model: NNLS Adj. R-squared: 0.706
No. Observations: 363 RMSE: 65.91
Df Residuals: 361 MAE: 52.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 186.8426 10.7364 0.001 166.8011 208.3879
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · reth
nobs 539
R² 0.9095
coef (ms) 5.688e-05
p-value 1.00e-03
95% CI [5.549e-05, 5.83e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.909
Model: NNLS Adj. R-squared: 0.909
No. Observations: 539 RMSE: 9.07
Df Residuals: 537 MAE: 7.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9480 1.2302 0.001 20.5213 25.3460
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · besu
nobs 462
R² 0.8498
coef (ms) 0.01433
p-value 1.00e-03
95% CI [0.01378, 0.01489]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.849
No. Observations: 462 RMSE: 143.19
Df Residuals: 460 MAE: 113.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 568.6712 20.8302 0.001 526.4417 610.5176
opcount 0.0143 0.0003 0.001 0.0138 0.0149
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · erigon
nobs 154
R² 0.9761
coef (ms) 0.009991
p-value 1.00e-03
95% CI [0.009753, 0.01026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 154 RMSE: 37.18
Df Residuals: 152 MAE: 28.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.4578 8.7326 0.005 4.8963 39.6987
opcount 0.0100 0.0001 0.001 0.0098 0.0103
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · ethrex
nobs 440
R² 0.9938
coef (ms) 0.00727
p-value 1.00e-03
95% CI [0.007217, 0.007324]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 440 RMSE: 13.69
Df Residuals: 438 MAE: 10.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.9440 2.0461 0.001 40.9028 48.9928
opcount 0.0073 0.0000 0.001 0.0072 0.0073
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · geth
nobs 440
R² 0.9115
coef (ms) 0.01104
p-value 1.00e-03
95% CI [0.01067, 0.0114]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.912
Model: NNLS Adj. R-squared: 0.911
No. Observations: 440 RMSE: 81.79
Df Residuals: 438 MAE: 67.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 415.1395 15.5806 0.001 385.2335 446.8755
opcount 0.0110 0.0002 0.001 0.0107 0.0114
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · nethermind
nobs 363
R² 0.813
coef (ms) 0.004322
p-value 1.00e-03
95% CI [0.004111, 0.004533]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 363 RMSE: 49.27
Df Residuals: 361 MAE: 37.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 82.7612 7.4923 0.001 68.3559 97.1734
opcount 0.0043 0.0001 0.001 0.0041 0.0045
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · reth
nobs 539
R² 0.9198
coef (ms) 0.00108
p-value 1.00e-03
95% CI [0.001052, 0.00111]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.920
No. Observations: 539 RMSE: 7.58
Df Residuals: 537 MAE: 6.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.0468 1.0687 0.001 45.0101 49.1022
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
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] · besu
nobs 462
R² 0.8295
coef (ms) 0.01478
p-value 1.00e-03
95% CI [0.01418, 0.01536]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 462 RMSE: 159.27
Df Residuals: 460 MAE: 141.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 507.9478 23.5970 0.001 462.7061 554.0151
opcount 0.0148 0.0003 0.001 0.0142 0.0154
==============================================================================
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 154
R² 0.9772
coef (ms) 0.009407
p-value 1.00e-03
95% CI [0.00914, 0.0095]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 154 RMSE: 34.17
Df Residuals: 152 MAE: 23.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.7721 5.9001 0.421 0.0000 20.3396
opcount 0.0094 0.0001 0.001 0.0091 0.0095
==============================================================================
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] · ethrex
nobs 440
R² 0.9624
coef (ms) 0.00203
p-value 1.00e-03
95% CI [0.001995, 0.002065]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 440 RMSE: 9.53
Df Residuals: 438 MAE: 7.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.6759 1.4176 0.001 27.0081 32.5846
opcount 0.0020 0.0000 0.001 0.0020 0.0021
==============================================================================
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 440
R² 0.8655
coef (ms) 0.02236
p-value 1.00e-03
95% CI [0.02151, 0.02327]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.865
No. Observations: 440 RMSE: 209.50
Df Residuals: 438 MAE: 176.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 706.6148 38.8139 0.001 629.6692 777.0238
opcount 0.0224 0.0005 0.001 0.0215 0.0233
==============================================================================
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 363
R² 0.8527
coef (ms) 0.004078
p-value 1.00e-03
95% CI [0.003892, 0.004253]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.852
No. Observations: 363 RMSE: 40.29
Df Residuals: 361 MAE: 30.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.4522 6.3131 0.001 62.6057 86.2331
opcount 0.0041 0.0001 0.001 0.0039 0.0043
==============================================================================
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 539
R² 0.8897
coef (ms) 0.0007676
p-value 1.00e-03
95% CI [0.0007441, 0.0007928]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.890
Model: NNLS Adj. R-squared: 0.890
No. Observations: 539 RMSE: 6.42
Df Residuals: 537 MAE: 5.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.2902 0.9348 0.001 48.4429 52.0047
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · besu
nobs 462
R² 0.8923
coef (ms) 0.02654
p-value 1.00e-03
95% CI [0.02578, 0.02731]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.892
Model: NNLS Adj. R-squared: 0.892
No. Observations: 462 RMSE: 187.77
Df Residuals: 460 MAE: 149.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 572.7333 25.5917 0.001 524.0891 622.4259
opcount 0.0265 0.0004 0.001 0.0258 0.0273
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 154
R² 0.5692
coef (ms) 0.04506
p-value 1.00e-03
95% CI [0.03848, 0.05127]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.569
Model: NNLS Adj. R-squared: 0.566
No. Observations: 154 RMSE: 798.57
Df Residuals: 152 MAE: 546.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 774.8655 194.4416 0.001 385.5237 1165.9895
opcount 0.0451 0.0032 0.001 0.0385 0.0513
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 440
R² 0.9935
coef (ms) 0.007859
p-value 1.00e-03
95% CI [0.007801, 0.007924]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 440 RMSE: 12.92
Df Residuals: 438 MAE: 10.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.0303 1.8912 0.001 38.1337 45.6010
opcount 0.0079 0.0000 0.001 0.0078 0.0079
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · geth
nobs 440
R² 0.8584
coef (ms) 0.02337
p-value 1.00e-03
95% CI [0.02241, 0.02437]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 440 RMSE: 193.32
Df Residuals: 438 MAE: 162.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 672.4904 35.8072 0.001 601.4871 741.1021
opcount 0.0234 0.0005 0.001 0.0224 0.0244
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 363
R² 0.5906
coef (ms) 0.0139
p-value 1.00e-03
95% CI [0.01275, 0.01512]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.591
Model: NNLS Adj. R-squared: 0.590
No. Observations: 363 RMSE: 235.69
Df Residuals: 361 MAE: 168.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 184.0690 35.0397 0.001 115.8204 251.9774
opcount 0.0139 0.0006 0.001 0.0128 0.0151
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · reth
nobs 539
R² 0.9719
coef (ms) 0.004055
p-value 1.00e-03
95% CI [0.003994, 0.004116]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 539 RMSE: 14.04
Df Residuals: 537 MAE: 10.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.9761 1.9036 0.001 97.4292 104.6561
opcount 0.0041 0.0000 0.001 0.0040 0.0041
==============================================================================
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] · besu
nobs 462
R² 0.8295
coef (ms) 0.01478
p-value 1.00e-03
95% CI [0.01418, 0.01536]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 462 RMSE: 159.27
Df Residuals: 460 MAE: 141.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 507.9478 23.5970 0.001 462.7061 554.0151
opcount 0.0148 0.0003 0.001 0.0142 0.0154
==============================================================================
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 154
R² 0.9772
coef (ms) 0.009407
p-value 1.00e-03
95% CI [0.00914, 0.0095]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 154 RMSE: 34.17
Df Residuals: 152 MAE: 23.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.7721 5.9001 0.421 0.0000 20.3396
opcount 0.0094 0.0001 0.001 0.0091 0.0095
==============================================================================
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] · ethrex
nobs 440
R² 0.9624
coef (ms) 0.00203
p-value 1.00e-03
95% CI [0.001995, 0.002065]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 440 RMSE: 9.53
Df Residuals: 438 MAE: 7.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.6759 1.4176 0.001 27.0081 32.5846
opcount 0.0020 0.0000 0.001 0.0020 0.0021
==============================================================================
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 440
R² 0.8655
coef (ms) 0.02236
p-value 1.00e-03
95% CI [0.02151, 0.02327]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.865
No. Observations: 440 RMSE: 209.50
Df Residuals: 438 MAE: 176.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 706.6148 38.8139 0.001 629.6692 777.0238
opcount 0.0224 0.0005 0.001 0.0215 0.0233
==============================================================================
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 363
R² 0.8527
coef (ms) 0.004078
p-value 1.00e-03
95% CI [0.003892, 0.004253]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.852
No. Observations: 363 RMSE: 40.29
Df Residuals: 361 MAE: 30.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.4522 6.3131 0.001 62.6057 86.2331
opcount 0.0041 0.0001 0.001 0.0039 0.0043
==============================================================================
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 539
R² 0.8897
coef (ms) 0.0007676
p-value 1.00e-03
95% CI [0.0007441, 0.0007928]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.890
Model: NNLS Adj. R-squared: 0.890
No. Observations: 539 RMSE: 6.42
Df Residuals: 537 MAE: 5.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.2902 0.9348 0.001 48.4429 52.0047
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · besu
nobs 462
R² 0.7032
coef (ms) 0.0005997
p-value 1.00e-03
95% CI [0.0005649, 0.0006311]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.703
Model: NNLS Adj. R-squared: 0.703
No. Observations: 462 RMSE: 201.68
Df Residuals: 460 MAE: 156.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 772.9775 30.1270 0.001 717.6678 837.8294
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · erigon
nobs 154
R² 0.9086
coef (ms) 0.0002745
p-value 1.00e-03
95% CI [0.0002623, 0.0002887]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.909
Model: NNLS Adj. R-squared: 0.908
No. Observations: 154 RMSE: 45.08
Df Residuals: 152 MAE: 33.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.6085 10.3806 0.001 27.1807 67.9869
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · ethrex
nobs 440
R² 0.9398
coef (ms) 0.000102
p-value 1.00e-03
95% CI [9.965e-05, 0.0001044]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.940
Model: NNLS Adj. R-squared: 0.940
No. Observations: 440 RMSE: 13.38
Df Residuals: 438 MAE: 10.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.3538 2.0454 0.001 29.3399 37.4157
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · geth
nobs 440
R² 0.9045
coef (ms) 0.0001591
p-value 1.00e-03
95% CI [0.0001539, 0.0001639]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 440 RMSE: 26.76
Df Residuals: 438 MAE: 19.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.7970 4.0278 0.001 30.4376 45.9138
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · nethermind
nobs 363
R² 0.6287
coef (ms) 0.0003913
p-value 1.00e-03
95% CI [0.0003577, 0.0004235]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.629
Model: NNLS Adj. R-squared: 0.628
No. Observations: 363 RMSE: 155.68
Df Residuals: 361 MAE: 129.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 157.8896 24.0012 0.001 111.2677 206.4882
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · reth
nobs 539
R² 0.9314
coef (ms) 5.366e-05
p-value 1.00e-03
95% CI [5.238e-05, 5.493e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.931
No. Observations: 539 RMSE: 7.54
Df Residuals: 537 MAE: 5.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9548 1.1160 0.001 21.7646 26.2295
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] · besu
nobs 462
R² 0.2586
coef (ms) 0.0005457
p-value 1.00e-03
95% CI [0.0004629, 0.0006344]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.259
Model: NNLS Adj. R-squared: 0.257
No. Observations: 462 RMSE: 237.20
Df Residuals: 460 MAE: 216.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 379.3548 33.7307 0.001 314.4497 448.7353
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
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 154
R² 0.9027
coef (ms) 8.488e-05
p-value 1.00e-03
95% CI [8.014e-05, 8.951e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.903
Model: NNLS Adj. R-squared: 0.902
No. Observations: 154 RMSE: 7.16
Df Residuals: 152 MAE: 5.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9181 1.7761 0.001 20.4425 27.5337
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] · ethrex
nobs 440
R² 0.3638
coef (ms) 3.419e-05
p-value 1.00e-03
95% CI [2.998e-05, 3.841e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.364
Model: NNLS Adj. R-squared: 0.362
No. Observations: 440 RMSE: 11.61
Df Residuals: 438 MAE: 7.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.8170 1.9395 0.001 10.0757 17.7179
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] · geth
nobs 440
R² 0.9305
coef (ms) 0.0003415
p-value 1.00e-03
95% CI [0.0003324, 0.0003508]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.930
No. Observations: 440 RMSE: 23.95
Df Residuals: 438 MAE: 18.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.8899 3.5563 0.001 24.0562 37.8318
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
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 363
R² 0.6643
coef (ms) 0.00034
p-value 1.00e-03
95% CI [0.0003142, 0.0003657]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.664
Model: NNLS Adj. R-squared: 0.663
No. Observations: 363 RMSE: 62.05
Df Residuals: 361 MAE: 41.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 122.0481 9.8563 0.001 103.0925 141.7403
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
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 539
R² 0.4734
coef (ms) 2.351e-05
p-value 1.00e-03
95% CI [2.11e-05, 2.568e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.473
Model: NNLS Adj. R-squared: 0.472
No. Observations: 539 RMSE: 6.37
Df Residuals: 537 MAE: 4.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.5837 0.9966 0.001 7.7450 11.7033
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 · besu
nobs 462
R² 0.3099
coef (ms) 0.00188
p-value 1.00e-03
95% CI [0.001626, 0.002101]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.310
Model: NNLS Adj. R-squared: 0.308
No. Observations: 462 RMSE: 277.19
Df Residuals: 460 MAE: 253.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 456.4890 38.5196 0.001 385.5585 540.6307
opcount 0.0019 0.0001 0.001 0.0016 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · erigon
nobs 154
R² 0.8856
coef (ms) 0.0003301
p-value 1.00e-03
95% CI [0.0003099, 0.0003495]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.885
No. Observations: 154 RMSE: 11.72
Df Residuals: 152 MAE: 9.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.2521 3.1668 0.001 33.3124 45.4742
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 · ethrex
nobs 440
R² 0.7776
coef (ms) 0.0002081
p-value 1.00e-03
95% CI [0.0001965, 0.0002183]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.777
No. Observations: 440 RMSE: 11.00
Df Residuals: 438 MAE: 8.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.8065 1.7534 0.001 19.7365 26.3898
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · geth
nobs 440
R² 0.8932
coef (ms) 0.0007625
p-value 1.00e-03
95% CI [0.0007387, 0.0007876]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.893
Model: NNLS Adj. R-squared: 0.893
No. Observations: 440 RMSE: 26.05
Df Residuals: 438 MAE: 20.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.3106 3.5731 0.001 36.2147 50.0978
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · nethermind
nobs 363
R² 0.7987
coef (ms) 0.001342
p-value 1.00e-03
95% CI [0.001268, 0.001407]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.799
Model: NNLS Adj. R-squared: 0.798
No. Observations: 363 RMSE: 66.54
Df Residuals: 361 MAE: 52.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 179.7626 10.2806 0.001 159.9784 201.5651
opcount 0.0013 0.0000 0.001 0.0013 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · reth
nobs 539
R² 0.7396
coef (ms) 0.0001104
p-value 1.00e-03
95% CI [0.0001046, 0.0001161]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.740
Model: NNLS Adj. R-squared: 0.739
No. Observations: 539 RMSE: 6.47
Df Residuals: 537 MAE: 4.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.5367 0.9548 0.001 11.7847 15.4094
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] · besu
nobs 462
R² 0.2586
coef (ms) 0.0005457
p-value 1.00e-03
95% CI [0.0004629, 0.0006344]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.259
Model: NNLS Adj. R-squared: 0.257
No. Observations: 462 RMSE: 237.20
Df Residuals: 460 MAE: 216.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 379.3548 33.7307 0.001 314.4497 448.7353
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
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 154
R² 0.9027
coef (ms) 8.488e-05
p-value 1.00e-03
95% CI [8.014e-05, 8.951e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.903
Model: NNLS Adj. R-squared: 0.902
No. Observations: 154 RMSE: 7.16
Df Residuals: 152 MAE: 5.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9181 1.7761 0.001 20.4425 27.5337
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] · ethrex
nobs 440
R² 0.3638
coef (ms) 3.419e-05
p-value 1.00e-03
95% CI [2.998e-05, 3.841e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.364
Model: NNLS Adj. R-squared: 0.362
No. Observations: 440 RMSE: 11.61
Df Residuals: 438 MAE: 7.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.8170 1.9395 0.001 10.0757 17.7179
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_code_access] · geth
nobs 440
R² 0.9305
coef (ms) 0.0003415
p-value 1.00e-03
95% CI [0.0003324, 0.0003508]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.930
No. Observations: 440 RMSE: 23.95
Df Residuals: 438 MAE: 18.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.8899 3.5563 0.001 24.0562 37.8318
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
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 363
R² 0.6643
coef (ms) 0.00034
p-value 1.00e-03
95% CI [0.0003142, 0.0003657]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.664
Model: NNLS Adj. R-squared: 0.663
No. Observations: 363 RMSE: 62.05
Df Residuals: 361 MAE: 41.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 122.0481 9.8563 0.001 103.0925 141.7403
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
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 539
R² 0.4734
coef (ms) 2.351e-05
p-value 1.00e-03
95% CI [2.11e-05, 2.568e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.473
Model: NNLS Adj. R-squared: 0.472
No. Observations: 539 RMSE: 6.37
Df Residuals: 537 MAE: 4.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.5837 0.9966 0.001 7.7450 11.7033
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] · besu
nobs 462
R² 0.8323
coef (ms) 0.01307
p-value 1.00e-03
95% CI [0.01251, 0.01358]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 462 RMSE: 140.23
Df Residuals: 460 MAE: 126.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 498.4659 21.1882 0.001 458.4194 539.9909
opcount 0.0131 0.0003 0.001 0.0125 0.0136
==============================================================================
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 154
R² 0.9752
coef (ms) 0.008418
p-value 1.00e-03
95% CI [0.008279, 0.008487]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 154 RMSE: 32.34
Df Residuals: 152 MAE: 22.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.5254 1.000 0.0000 8.9989
opcount 0.0084 0.0001 0.001 0.0083 0.0085
==============================================================================
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] · ethrex
nobs 440
R² 0.9683
coef (ms) 0.001999
p-value 1.00e-03
95% CI [0.001964, 0.002036]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 440 RMSE: 8.65
Df Residuals: 438 MAE: 6.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.4842 1.3354 0.001 23.8024 29.0558
opcount 0.0020 0.0000 0.001 0.0020 0.0020
==============================================================================
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 440
R² 0.8595
coef (ms) 0.02155
p-value 1.00e-03
95% CI [0.02068, 0.02243]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.860
Model: NNLS Adj. R-squared: 0.859
No. Observations: 440 RMSE: 208.23
Df Residuals: 438 MAE: 176.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 713.1892 38.8209 0.001 635.0039 786.5918
opcount 0.0216 0.0005 0.001 0.0207 0.0224
==============================================================================
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 363
R² 0.8328
coef (ms) 0.003774
p-value 1.00e-03
95% CI [0.003597, 0.003938]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.832
No. Observations: 363 RMSE: 40.41
Df Residuals: 361 MAE: 32.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.1244 5.9617 0.001 60.1631 83.3278
opcount 0.0038 0.0001 0.001 0.0036 0.0039
==============================================================================
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 539
R² 0.8818
coef (ms) 0.000737
p-value 1.00e-03
95% CI [0.0007144, 0.0007593]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 539 RMSE: 6.45
Df Residuals: 537 MAE: 5.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.6213 0.8918 0.001 46.8738 50.3773
opcount 0.0007 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · besu
nobs 462
R² 0.8947
coef (ms) 0.0247
p-value 1.00e-03
95% CI [0.02399, 0.02542]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.894
No. Observations: 462 RMSE: 176.29
Df Residuals: 460 MAE: 143.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 552.4798 24.1101 0.001 504.2673 599.7685
opcount 0.0247 0.0004 0.001 0.0240 0.0254
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · erigon
nobs 154
R² 0.9331
coef (ms) 0.02399
p-value 1.00e-03
95% CI [0.02301, 0.02498]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.933
No. Observations: 154 RMSE: 133.62
Df Residuals: 152 MAE: 113.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 293.8304 35.2101 0.001 227.0638 366.4171
opcount 0.0240 0.0005 0.001 0.0230 0.0250
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · ethrex
nobs 440
R² 0.9932
coef (ms) 0.007729
p-value 1.00e-03
95% CI [0.007672, 0.007788]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 440 RMSE: 13.32
Df Residuals: 438 MAE: 10.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.7237 1.8852 0.001 38.0418 45.3662
opcount 0.0077 0.0000 0.001 0.0077 0.0078
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · geth
nobs 440
R² 0.8576
coef (ms) 0.02302
p-value 1.00e-03
95% CI [0.02204, 0.0239]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.857
No. Observations: 440 RMSE: 195.14
Df Residuals: 438 MAE: 164.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 676.9951 34.9177 0.001 611.2961 748.4975
opcount 0.0230 0.0005 0.001 0.0220 0.0239
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · nethermind
nobs 363
R² 0.5704
coef (ms) 0.01349
p-value 1.00e-03
95% CI [0.01228, 0.01476]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.570
Model: NNLS Adj. R-squared: 0.569
No. Observations: 363 RMSE: 243.55
Df Residuals: 361 MAE: 179.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 139.8388 36.1839 0.001 69.0872 210.6175
opcount 0.0135 0.0006 0.001 0.0123 0.0148
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · reth
nobs 539
R² 0.9724
coef (ms) 0.003979
p-value 1.00e-03
95% CI [0.003915, 0.004037]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 539 RMSE: 13.94
Df Residuals: 537 MAE: 11.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.8926 1.8943 0.001 98.2907 105.8723
opcount 0.0040 0.0000 0.001 0.0039 0.0040
==============================================================================
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] · besu
nobs 462
R² 0.8323
coef (ms) 0.01307
p-value 1.00e-03
95% CI [0.01251, 0.01358]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 462 RMSE: 140.23
Df Residuals: 460 MAE: 126.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 498.4659 21.1882 0.001 458.4194 539.9909
opcount 0.0131 0.0003 0.001 0.0125 0.0136
==============================================================================
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 154
R² 0.9752
coef (ms) 0.008418
p-value 1.00e-03
95% CI [0.008279, 0.008487]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 154 RMSE: 32.34
Df Residuals: 152 MAE: 22.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.5254 1.000 0.0000 8.9989
opcount 0.0084 0.0001 0.001 0.0083 0.0085
==============================================================================
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] · ethrex
nobs 440
R² 0.9683
coef (ms) 0.001999
p-value 1.00e-03
95% CI [0.001964, 0.002036]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 440 RMSE: 8.65
Df Residuals: 438 MAE: 6.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.4842 1.3354 0.001 23.8024 29.0558
opcount 0.0020 0.0000 0.001 0.0020 0.0020
==============================================================================
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 440
R² 0.8595
coef (ms) 0.02155
p-value 1.00e-03
95% CI [0.02068, 0.02243]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.860
Model: NNLS Adj. R-squared: 0.859
No. Observations: 440 RMSE: 208.23
Df Residuals: 438 MAE: 176.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 713.1892 38.8209 0.001 635.0039 786.5918
opcount 0.0216 0.0005 0.001 0.0207 0.0224
==============================================================================
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 363
R² 0.8328
coef (ms) 0.003774
p-value 1.00e-03
95% CI [0.003597, 0.003938]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.832
No. Observations: 363 RMSE: 40.41
Df Residuals: 361 MAE: 32.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.1244 5.9617 0.001 60.1631 83.3278
opcount 0.0038 0.0001 0.001 0.0036 0.0039
==============================================================================
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 539
R² 0.8818
coef (ms) 0.000737
p-value 1.00e-03
95% CI [0.0007144, 0.0007593]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 539 RMSE: 6.45
Df Residuals: 537 MAE: 5.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.6213 0.8918 0.001 46.8738 50.3773
opcount 0.0007 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · besu
nobs 462
R² 0.2411
coef (ms) 0.0001997
p-value 1.00e-03
95% CI [0.0001682, 0.0002324]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.241
Model: NNLS Adj. R-squared: 0.239
No. Observations: 462 RMSE: 207.19
Df Residuals: 460 MAE: 173.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 470.0884 32.2198 0.001 406.1959 532.4756
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 · erigon
nobs 154
R² 0.9211
coef (ms) 0.0003132
p-value 1.00e-03
95% CI [0.0002998, 0.0003274]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.921
Model: NNLS Adj. R-squared: 0.921
No. Observations: 154 RMSE: 53.59
Df Residuals: 152 MAE: 39.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.1736 12.3836 0.005 7.9242 57.0047
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · ethrex
nobs 440
R² 0.3462
coef (ms) 1.516e-05
p-value 1.00e-03
95% CI [1.33e-05, 1.702e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.346
Model: NNLS Adj. R-squared: 0.345
No. Observations: 440 RMSE: 12.19
Df Residuals: 438 MAE: 7.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9900 1.7905 0.001 6.5255 13.5274
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · geth
nobs 440
R² 0.8082
coef (ms) 3.802e-05
p-value 1.00e-03
95% CI [3.621e-05, 3.984e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 440 RMSE: 10.83
Df Residuals: 438 MAE: 8.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.1421 1.6315 0.001 20.9906 27.2861
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · nethermind
nobs 363
R² 0.5995
coef (ms) 0.0002332
p-value 1.00e-03
95% CI [0.0002132, 0.0002525]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.599
Model: NNLS Adj. R-squared: 0.598
No. Observations: 363 RMSE: 111.46
Df Residuals: 361 MAE: 90.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 144.6850 15.9888 0.001 114.3249 177.0643
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 · reth
nobs 539
R² 0.6195
coef (ms) 1.326e-05
p-value 1.00e-03
95% CI [1.241e-05, 1.414e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.619
Model: NNLS Adj. R-squared: 0.619
No. Observations: 539 RMSE: 6.08
Df Residuals: 537 MAE: 4.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.8673 0.8108 0.001 8.3095 11.3436
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] · besu
nobs 462
R² 0.8284
coef (ms) 0.013
p-value 1.00e-03
95% CI [0.01247, 0.01356]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.828
No. Observations: 462 RMSE: 141.39
Df Residuals: 460 MAE: 125.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 499.7635 22.0395 0.001 455.6680 541.8655
opcount 0.0130 0.0003 0.001 0.0125 0.0136
==============================================================================
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 154
R² 0.9705
coef (ms) 0.008631
p-value 1.00e-03
95% CI [0.0085, 0.008711]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.970
No. Observations: 154 RMSE: 36.19
Df Residuals: 152 MAE: 23.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.1954 1.000 0.0000 8.0747
opcount 0.0086 0.0001 0.001 0.0085 0.0087
==============================================================================
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] · ethrex
nobs 440
R² 0.9666
coef (ms) 0.001964
p-value 1.00e-03
95% CI [0.001931, 0.001998]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 440 RMSE: 8.73
Df Residuals: 438 MAE: 6.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.1826 1.3046 0.001 25.7035 30.7240
opcount 0.0020 0.0000 0.001 0.0019 0.0020
==============================================================================
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 440
R² 0.8607
coef (ms) 0.02163
p-value 1.00e-03
95% CI [0.02078, 0.02251]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 440 RMSE: 207.98
Df Residuals: 438 MAE: 175.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 710.4148 38.4370 0.001 637.4818 788.0249
opcount 0.0216 0.0004 0.001 0.0208 0.0225
==============================================================================
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 363
R² 0.8297
coef (ms) 0.003886
p-value 1.00e-03
95% CI [0.003695, 0.004086]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.829
No. Observations: 363 RMSE: 42.08
Df Residuals: 361 MAE: 32.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.5222 6.7258 0.001 49.7278 76.8091
opcount 0.0039 0.0001 0.001 0.0037 0.0041
==============================================================================
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 539
R² 0.8664
coef (ms) 0.0007039
p-value 1.00e-03
95% CI [0.0006794, 0.0007279]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.866
No. Observations: 539 RMSE: 6.61
Df Residuals: 537 MAE: 5.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.7216 0.9220 0.001 48.8841 52.5297
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · besu
nobs 462
R² 0.8956
coef (ms) 0.025
p-value 1.00e-03
95% CI [0.0243, 0.02573]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.895
No. Observations: 462 RMSE: 177.56
Df Residuals: 460 MAE: 143.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 535.0325 24.2544 0.001 487.9991 580.1956
opcount 0.0250 0.0004 0.001 0.0243 0.0257
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · erigon
nobs 154
R² 0.571
coef (ms) 0.04476
p-value 1.00e-03
95% CI [0.0384, 0.05106]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.571
Model: NNLS Adj. R-squared: 0.568
No. Observations: 154 RMSE: 807.21
Df Residuals: 152 MAE: 547.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 765.7073 193.2428 0.001 375.4826 1149.7004
opcount 0.0448 0.0031 0.001 0.0384 0.0511
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 440
R² 0.9934
coef (ms) 0.007737
p-value 1.00e-03
95% CI [0.007682, 0.007793]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 440 RMSE: 13.15
Df Residuals: 438 MAE: 10.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.0960 1.9592 0.001 37.3413 44.7830
opcount 0.0077 0.0000 0.001 0.0077 0.0078
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · geth
nobs 440
R² 0.8582
coef (ms) 0.02304
p-value 1.00e-03
95% CI [0.02212, 0.02399]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 440 RMSE: 194.90
Df Residuals: 438 MAE: 163.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 680.8953 35.1788 0.001 613.7106 749.0011
opcount 0.0230 0.0005 0.001 0.0221 0.0240
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 363
R² 0.5514
coef (ms) 0.01273
p-value 1.00e-03
95% CI [0.01151, 0.0141]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.551
Model: NNLS Adj. R-squared: 0.550
No. Observations: 363 RMSE: 238.94
Df Residuals: 361 MAE: 173.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 172.8147 37.8197 0.001 98.0049 245.9797
opcount 0.0127 0.0007 0.001 0.0115 0.0141
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · reth
nobs 539
R² 0.9755
coef (ms) 0.003991
p-value 1.00e-03
95% CI [0.003937, 0.004047]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 539 RMSE: 13.17
Df Residuals: 537 MAE: 10.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.7666 1.7946 0.001 97.2241 104.3341
opcount 0.0040 0.0000 0.001 0.0039 0.0040
==============================================================================
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] · besu
nobs 462
R² 0.8284
coef (ms) 0.013
p-value 1.00e-03
95% CI [0.01247, 0.01356]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.828
No. Observations: 462 RMSE: 141.39
Df Residuals: 460 MAE: 125.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 499.7635 22.0395 0.001 455.6680 541.8655
opcount 0.0130 0.0003 0.001 0.0125 0.0136
==============================================================================
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 154
R² 0.9705
coef (ms) 0.008631
p-value 1.00e-03
95% CI [0.0085, 0.008711]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.970
No. Observations: 154 RMSE: 36.19
Df Residuals: 152 MAE: 23.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.1954 1.000 0.0000 8.0747
opcount 0.0086 0.0001 0.001 0.0085 0.0087
==============================================================================
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] · ethrex
nobs 440
R² 0.9666
coef (ms) 0.001964
p-value 1.00e-03
95% CI [0.001931, 0.001998]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 440 RMSE: 8.73
Df Residuals: 438 MAE: 6.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.1826 1.3046 0.001 25.7035 30.7240
opcount 0.0020 0.0000 0.001 0.0019 0.0020
==============================================================================
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 440
R² 0.8607
coef (ms) 0.02163
p-value 1.00e-03
95% CI [0.02078, 0.02251]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 440 RMSE: 207.98
Df Residuals: 438 MAE: 175.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 710.4148 38.4370 0.001 637.4818 788.0249
opcount 0.0216 0.0004 0.001 0.0208 0.0225
==============================================================================
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 363
R² 0.8297
coef (ms) 0.003886
p-value 1.00e-03
95% CI [0.003695, 0.004086]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.829
No. Observations: 363 RMSE: 42.08
Df Residuals: 361 MAE: 32.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.5222 6.7258 0.001 49.7278 76.8091
opcount 0.0039 0.0001 0.001 0.0037 0.0041
==============================================================================
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 539
R² 0.8664
coef (ms) 0.0007039
p-value 1.00e-03
95% CI [0.0006794, 0.0007279]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.866
No. Observations: 539 RMSE: 6.61
Df Residuals: 537 MAE: 5.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.7216 0.9220 0.001 48.8841 52.5297
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · besu
nobs 462
R² 0.2713
coef (ms) 0.0002102
p-value 1.00e-03
95% CI [0.0001785, 0.0002427]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.271
Model: NNLS Adj. R-squared: 0.270
No. Observations: 462 RMSE: 201.52
Df Residuals: 460 MAE: 166.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 439.2588 29.5402 0.001 381.8639 498.9665
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · erigon
nobs 154
R² 0.8643
coef (ms) 6.301e-05
p-value 1.00e-03
95% CI [5.909e-05, 6.677e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 154 RMSE: 14.60
Df Residuals: 152 MAE: 9.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.1840 3.2177 0.001 17.9287 30.5385
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · ethrex
nobs 440
R² 0.1872
coef (ms) 1.25e-05
p-value 1.00e-03
95% CI [9.968e-06, 1.464e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.187
Model: NNLS Adj. R-squared: 0.185
No. Observations: 440 RMSE: 15.23
Df Residuals: 438 MAE: 10.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.4976 2.4811 0.001 14.0048 23.7294
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 440
R² 0.76
coef (ms) 3.031e-05
p-value 1.00e-03
95% CI [2.86e-05, 3.193e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.760
Model: NNLS Adj. R-squared: 0.759
No. Observations: 440 RMSE: 9.96
Df Residuals: 438 MAE: 7.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.3956 1.5369 0.001 17.5155 23.4803
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 · nethermind
nobs 363
R² 0.6543
coef (ms) 0.0001627
p-value 1.00e-03
95% CI [0.0001499, 0.000175]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.654
Model: NNLS Adj. R-squared: 0.653
No. Observations: 363 RMSE: 69.15
Df Residuals: 361 MAE: 53.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 137.2519 10.8029 0.001 116.3141 159.1374
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 539
R² 0.5849
coef (ms) 8.371e-06
p-value 1.00e-03
95% CI [7.755e-06, 8.963e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.585
Model: NNLS Adj. R-squared: 0.584
No. Observations: 539 RMSE: 4.12
Df Residuals: 537 MAE: 3.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.7437 0.5460 0.001 6.6477 8.8051
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 · besu
nobs 462
R² 0.8538
coef (ms) 0.01513
p-value 1.00e-03
95% CI [0.01458, 0.0157]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.854
No. Observations: 462 RMSE: 148.81
Df Residuals: 460 MAE: 118.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 622.4120 21.6836 0.001 580.4757 665.6600
opcount 0.0151 0.0003 0.001 0.0146 0.0157
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · erigon
nobs 154
R² 0.9608
coef (ms) 0.01038
p-value 1.00e-03
95% CI [0.01002, 0.01063]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.961
Model: NNLS Adj. R-squared: 0.961
No. Observations: 154 RMSE: 49.87
Df Residuals: 152 MAE: 32.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.0209 10.3319 0.257 0.0000 32.6311
opcount 0.0104 0.0002 0.001 0.0100 0.0106
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · ethrex
nobs 440
R² 0.9938
coef (ms) 0.007256
p-value 1.00e-03
95% CI [0.007199, 0.007315]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 440 RMSE: 13.67
Df Residuals: 438 MAE: 10.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.1729 2.1221 0.001 43.1681 51.4138
opcount 0.0073 0.0000 0.001 0.0072 0.0073
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · geth
nobs 440
R² 0.9108
coef (ms) 0.01105
p-value 1.00e-03
95% CI [0.01069, 0.01137]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.911
Model: NNLS Adj. R-squared: 0.911
No. Observations: 440 RMSE: 82.18
Df Residuals: 438 MAE: 68.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 419.8445 15.0253 0.001 392.8272 449.7122
opcount 0.0110 0.0002 0.001 0.0107 0.0114
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · nethermind
nobs 363
R² 0.8375
coef (ms) 0.004207
p-value 1.00e-03
95% CI [0.004028, 0.004403]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.837
No. Observations: 363 RMSE: 44.05
Df Residuals: 361 MAE: 34.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.7085 6.4042 0.001 75.3801 100.9507
opcount 0.0042 0.0001 0.001 0.0040 0.0044
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · reth
nobs 539
R² 0.9249
coef (ms) 0.001086
p-value 1.00e-03
95% CI [0.00106, 0.001113]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.925
No. Observations: 539 RMSE: 7.35
Df Residuals: 537 MAE: 5.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.8605 1.0525 0.001 45.7823 49.9716
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
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] · besu
nobs 462
R² 0.8256
coef (ms) 0.01581
p-value 1.00e-03
95% CI [0.01517, 0.0164]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.825
No. Observations: 462 RMSE: 172.74
Df Residuals: 460 MAE: 154.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 535.7511 25.1270 0.001 488.1770 587.1666
opcount 0.0158 0.0003 0.001 0.0152 0.0164
==============================================================================
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 154
R² 0.9683
coef (ms) 0.01151
p-value 1.00e-03
95% CI [0.01112, 0.01165]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 154 RMSE: 49.50
Df Residuals: 152 MAE: 35.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.7063 8.3533 0.394 0.0000 27.0973
opcount 0.0115 0.0001 0.001 0.0111 0.0117
==============================================================================
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] · ethrex
nobs 440
R² 0.9636
coef (ms) 0.002025
p-value 1.00e-03
95% CI [0.00199, 0.002063]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 440 RMSE: 9.35
Df Residuals: 438 MAE: 7.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.4527 1.4982 0.001 27.5388 33.2975
opcount 0.0020 0.0000 0.001 0.0020 0.0021
==============================================================================
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 440
R² 0.8652
coef (ms) 0.02264
p-value 1.00e-03
95% CI [0.02179, 0.0235]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 440 RMSE: 212.41
Df Residuals: 438 MAE: 178.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 720.0373 37.6319 0.001 645.3186 791.4469
opcount 0.0226 0.0004 0.001 0.0218 0.0235
==============================================================================
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 363
R² 0.8388
coef (ms) 0.003956
p-value 1.00e-03
95% CI [0.003783, 0.004134]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.838
No. Observations: 363 RMSE: 41.23
Df Residuals: 361 MAE: 31.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.6348 6.5960 0.001 71.0351 96.9125
opcount 0.0040 0.0001 0.001 0.0038 0.0041
==============================================================================
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 539
R² 0.8745
coef (ms) 0.0007603
p-value 1.00e-03
95% CI [0.0007342, 0.0007845]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.875
Model: NNLS Adj. R-squared: 0.874
No. Observations: 539 RMSE: 6.85
Df Residuals: 537 MAE: 5.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.4685 0.9658 0.001 49.5961 53.3066
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · besu
nobs 462
R² 0.8912
coef (ms) 0.02684
p-value 1.00e-03
95% CI [0.02597, 0.02766]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 462 RMSE: 191.02
Df Residuals: 460 MAE: 147.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 594.7830 28.0955 0.001 543.7029 652.6846
opcount 0.0268 0.0004 0.001 0.0260 0.0277
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 154
R² 0.5652
coef (ms) 0.04472
p-value 1.00e-03
95% CI [0.03821, 0.0503]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.565
Model: NNLS Adj. R-squared: 0.562
No. Observations: 154 RMSE: 799.01
Df Residuals: 152 MAE: 544.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 805.8260 185.8361 0.001 446.7290 1196.8076
opcount 0.0447 0.0031 0.001 0.0382 0.0503
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 440
R² 0.993
coef (ms) 0.007888
p-value 1.00e-03
95% CI [0.00783, 0.007954]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 440 RMSE: 13.52
Df Residuals: 438 MAE: 10.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.5968 1.9257 0.001 36.6382 44.3823
opcount 0.0079 0.0000 0.001 0.0078 0.0080
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · geth
nobs 440
R² 0.8549
coef (ms) 0.02337
p-value 1.00e-03
95% CI [0.02238, 0.02433]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.855
Model: NNLS Adj. R-squared: 0.855
No. Observations: 440 RMSE: 196.19
Df Residuals: 438 MAE: 166.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 677.2858 36.5594 0.001 611.6846 749.0883
opcount 0.0234 0.0005 0.001 0.0224 0.0243
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 363
R² 0.6068
coef (ms) 0.01486
p-value 1.00e-03
95% CI [0.01344, 0.01621]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.607
Model: NNLS Adj. R-squared: 0.606
No. Observations: 363 RMSE: 243.69
Df Residuals: 361 MAE: 178.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 136.6742 39.5745 0.001 59.8869 215.3602
opcount 0.0149 0.0007 0.001 0.0134 0.0162
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · reth
nobs 539
R² 0.9743
coef (ms) 0.004054
p-value 1.00e-03
95% CI [0.003995, 0.004106]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 539 RMSE: 13.43
Df Residuals: 537 MAE: 10.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.4463 1.7753 0.001 98.2124 105.2035
opcount 0.0041 0.0000 0.001 0.0040 0.0041
==============================================================================
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] · besu
nobs 462
R² 0.8256
coef (ms) 0.01581
p-value 1.00e-03
95% CI [0.01517, 0.0164]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.825
No. Observations: 462 RMSE: 172.74
Df Residuals: 460 MAE: 154.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 535.7511 25.1270 0.001 488.1770 587.1666
opcount 0.0158 0.0003 0.001 0.0152 0.0164
==============================================================================
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 154
R² 0.9683
coef (ms) 0.01151
p-value 1.00e-03
95% CI [0.01112, 0.01165]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 154 RMSE: 49.50
Df Residuals: 152 MAE: 35.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.7063 8.3533 0.394 0.0000 27.0973
opcount 0.0115 0.0001 0.001 0.0111 0.0117
==============================================================================
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] · ethrex
nobs 440
R² 0.9636
coef (ms) 0.002025
p-value 1.00e-03
95% CI [0.00199, 0.002063]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 440 RMSE: 9.35
Df Residuals: 438 MAE: 7.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.4527 1.4982 0.001 27.5388 33.2975
opcount 0.0020 0.0000 0.001 0.0020 0.0021
==============================================================================
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 440
R² 0.8652
coef (ms) 0.02264
p-value 1.00e-03
95% CI [0.02179, 0.0235]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 440 RMSE: 212.41
Df Residuals: 438 MAE: 178.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 720.0373 37.6319 0.001 645.3186 791.4469
opcount 0.0226 0.0004 0.001 0.0218 0.0235
==============================================================================
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 363
R² 0.8388
coef (ms) 0.003956
p-value 1.00e-03
95% CI [0.003783, 0.004134]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.838
No. Observations: 363 RMSE: 41.23
Df Residuals: 361 MAE: 31.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.6348 6.5960 0.001 71.0351 96.9125
opcount 0.0040 0.0001 0.001 0.0038 0.0041
==============================================================================
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 539
R² 0.8745
coef (ms) 0.0007603
p-value 1.00e-03
95% CI [0.0007342, 0.0007845]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.875
Model: NNLS Adj. R-squared: 0.874
No. Observations: 539 RMSE: 6.85
Df Residuals: 537 MAE: 5.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.4685 0.9658 0.001 49.5961 53.3066
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · besu
nobs 462
R² 0.7238
coef (ms) 0.000446
p-value 1.00e-03
95% CI [0.0004177, 0.0004727]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.724
Model: NNLS Adj. R-squared: 0.723
No. Observations: 462 RMSE: 142.62
Df Residuals: 460 MAE: 104.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 542.5452 22.0848 0.001 501.5726 586.6451
opcount 0.0004 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 · erigon
nobs 154
R² 0.8914
coef (ms) 0.0004814
p-value 1.00e-03
95% CI [0.0004558, 0.0005055]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 154 RMSE: 86.99
Df Residuals: 152 MAE: 60.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.6765 21.9238 0.001 33.8030 119.4234
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · ethrex
nobs 440
R² 0.9429
coef (ms) 0.0001034
p-value 1.00e-03
95% CI [0.000101, 0.0001056]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.943
Model: NNLS Adj. R-squared: 0.943
No. Observations: 440 RMSE: 13.17
Df Residuals: 438 MAE: 10.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.5097 1.9258 0.001 29.7727 37.3573
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · geth
nobs 440
R² 0.891
coef (ms) 0.0001813
p-value 1.00e-03
95% CI [0.0001756, 0.0001873]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 440 RMSE: 32.83
Df Residuals: 438 MAE: 25.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.3388 4.5862 0.001 41.1637 58.9254
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · nethermind
nobs 363
R² 0.6493
coef (ms) 0.0003449
p-value 1.00e-03
95% CI [0.0003164, 0.0003723]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.649
Model: NNLS Adj. R-squared: 0.648
No. Observations: 363 RMSE: 131.22
Df Residuals: 361 MAE: 106.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 194.7113 20.9248 0.001 153.4539 234.0944
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · reth
nobs 539
R² 0.915
coef (ms) 5.712e-05
p-value 1.00e-03
95% CI [5.56e-05, 5.878e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 539 RMSE: 9.01
Df Residuals: 537 MAE: 6.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.3265 1.3162 0.001 18.6311 23.8281
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================